{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "hQxjwgsoAaJi" }, "source": [ "## UNDERSTANDING MULTIPLE LINEAR REGRESSION:\n", "### SESSION AGENDA:" ] }, { "cell_type": "markdown", "metadata": { "id": "Uj1Bw_QrAaJm" }, "source": [ "To build the following models and understand performance of each of the following:\n", "\n", " 1. Multiple Linear Regression Model with all attributes\n", " 2. Box-Cox Transformations\n", " 3. Multiple Linear Regression Model after addressing Multicolinearity (VIF)\n", " 4. Multiple Linear Regression Model after VIF + Recursive Feature Elimination (RFE)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "t1b6z8Pbu5H9" }, "source": [ "## Business Problem" ] }, { "cell_type": "markdown", "metadata": { "id": "drEGUcpiu5ID" }, "source": [ "Ecommerce company based in a City that sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.\n", "The company aims to uncover the combination of factors that consistently lead to higher yearly spending by customers. \n" ] }, { "cell_type": "markdown", "metadata": { "id": "15oHxj03u5IE" }, "source": [ "## About the Data\n", "\n", "We'll work with the Ecommerce Customers csv file from the company. It has Customer info, such as Email, Address, and their color Avatar. Then it also has numerical value columns:\n", "\n", "* Avg. Session Length: Average session of in-store style advice sessions.\n", "* Time on App: Average time spent on App in minutes\n", "* Time on Website: Average time spent on Website in minutes\n", "* Length of Membership: How many years the customer has been a member." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Install the required packages for data analysis and visualization\n", "# %pip install pandas matplotlib numpy seaborn scikit-learn plotly statsmodels" ] }, { "cell_type": "code", "execution_count": 81, "metadata": { "id": "gIWMSTWcu5IG" }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "%matplotlib inline\n", "import warnings\n", "from IPython.display import Image\n", "warnings.filterwarnings('ignore')\n", "import os\n", "import statsmodels.api as sm\n", "import sklearn" ] }, { "cell_type": "code", "execution_count": 82, "metadata": { "id": "AWPvN2N3u5IH" }, "outputs": [], "source": [ "# Read the dataset\n", "customers = pd.read_csv(\"Ecommerce Customers.csv\")" ] }, { "cell_type": "markdown", "metadata": { "id": "ePq8dRuzu5II" }, "source": [ "#### Check the head of customers, and invoke its info() and describe() methods:" ] }, { "cell_type": "code", "execution_count": 83, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 337 }, "executionInfo": { "elapsed": 8, "status": "ok", "timestamp": 1656576371046, "user": { "displayName": "జగన్నాధ రావు బాస", "userId": "11285849713500739157" }, "user_tz": -330 }, "id": "VsLawhVnu5IK", "outputId": "fd52848b-5f21-4a2e-e642-f7af8f1c8339" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
EmailAddressAvatarAvg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGender
0kyang@diaz.org223 Love Trail Suite 831\\nPort Jeffrey, IN 46849OliveDrab34.3742580515.1269942937.157624095.377593584765.518462Female
1asilva@yahoo.comUSNV Johnson\\nFPO AP 19026Wheat34.6033111212.2072984933.913847256.922689335744.221867Male
2william82@gmail.com11143 Park Squares\\nSamanthatown, UT 97073SandyBrown?#NaNNaNNaNMale
3jeffrey54@mcdonald-williams.com297 Francis Valley\\nSouth Lindsey, NY 13669-5367Gainsboro34.9676098913.919494437.952013195.066696864712.396327Female
\n", "
" ], "text/plain": [ " Email \\\n", "0 kyang@diaz.org \n", "1 asilva@yahoo.com \n", "2 william82@gmail.com \n", "3 jeffrey54@mcdonald-williams.com \n", "\n", " Address Avatar \\\n", "0 223 Love Trail Suite 831\\nPort Jeffrey, IN 46849 OliveDrab \n", "1 USNV Johnson\\nFPO AP 19026 Wheat \n", "2 11143 Park Squares\\nSamanthatown, UT 97073 SandyBrown \n", "3 297 Francis Valley\\nSouth Lindsey, NY 13669-5367 Gainsboro \n", "\n", " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "0 34.37425805 15.12699429 37.15762409 5.377593584 \n", "1 34.60331112 12.20729849 33.91384725 6.922689335 \n", "2 ? # NaN NaN \n", "3 34.96760989 13.9194944 37.95201319 5.066696864 \n", "\n", " Yearly Amount Spent Gender \n", "0 765.518462 Female \n", "1 744.221867 Male \n", "2 NaN Male \n", "3 712.396327 Female " ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers.head(4) # snapshot of the data" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 500 entries, 0 to 499\n", "Data columns (total 9 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Email 500 non-null object \n", " 1 Address 500 non-null object \n", " 2 Avatar 500 non-null object \n", " 3 Avg. Session Length 500 non-null object \n", " 4 Time on App 499 non-null object \n", " 5 Time on Website 498 non-null object \n", " 6 Length of Membership 498 non-null object \n", " 7 Yearly Amount Spent 495 non-null float64\n", " 8 Gender 500 non-null object \n", "dtypes: float64(1), object(8)\n", "memory usage: 35.3+ KB\n" ] } ], "source": [ "customers.info()" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [], "source": [ "# Apply simple imputer to fill missing values\n", "import pandas as pd\n", "from sklearn.impute import SimpleImputer\n", "\n", "# Drop un-needed non-feature columns\n", "customers = customers.drop(columns=['Email', 'Address', 'Avatar'])\n", "\n", "# Segregate the target variable from the attributes\n", "customers_features = customers.drop(columns='Yearly Amount Spent')\n", "\n", "symbols = ['#', '$', '?', '%', 'NULL', 'NA', 'NaN']\n", "for symbol in symbols:\n", " customers_features.replace({symbol: np.nan}, inplace=True)\n", " \n", "# Corece numerical columns to 'float' type\n", "customers_features['Avg. Session Length'] = customers_features['Avg. Session Length'].astype(float)\n", "customers_features['Time on App'] = customers_features['Time on App'].astype(float)\n", "customers_features['Time on Website'] = customers_features['Time on Website'].astype(float)\n", "customers_features['Length of Membership'] = customers_features['Length of Membership'].astype(float)\n", "\n", "# Separate categorical and numerical columns\n", "categorical_cols = customers_features.select_dtypes(include=['object', 'category']).columns\n", "numerical_cols = customers_features.select_dtypes(include=['number']).columns\n", "\n", "# Use simple imputer from scikit-learn to perform the imputation\n", "categorical_imputer = SimpleImputer(strategy='most_frequent')\n", "numerical_imputer = SimpleImputer(strategy='median')\n", "\n", "# Apply the imputer on categorical columns\n", "customers_features[categorical_cols] = categorical_imputer.fit_transform(customers_features[categorical_cols])\n", "# Apply the imputer on numerical columns\n", "customers_features[numerical_cols] = numerical_imputer.fit_transform(customers_features[numerical_cols])\n", "\n", "# Ensure 'Yearly Amount Spent' remains unchanged in 'customers'\n", "yearly_amount_spent = customers['Yearly Amount Spent']\n", "customers.update(customers_features)\n", "# Convert 'object' type columns in 'customers' to 'float' where appropriate\n", "customers['Yearly Amount Spent'] = yearly_amount_spent\n", "\n", "#Convert obj back to float in 'customers'\n", "customers['Avg. Session Length'] = customers['Avg. Session Length'].astype(float)\n", "customers['Time on App'] = customers['Time on App'].astype(float)\n", "customers['Time on Website'] = customers['Time on Website'].astype(float)\n", "customers['Length of Membership'] = customers['Length of Membership'].astype(float)" ] }, { "cell_type": "code", "execution_count": 86, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Avg. Session Length 0\n", "Time on App 0\n", "Time on Website 0\n", "Length of Membership 0\n", "Yearly Amount Spent 5\n", "Gender 0\n", "dtype: int64" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check for remaining missing values (NaN, special symbols)\n", "missing_values_summary = (customers.isnull() | customers.isin(symbols)).sum()\n", "missing_values_summary" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Avg. Session Length 0\n", "Time on App 0\n", "Time on Website 0\n", "Length of Membership 0\n", "Yearly Amount Spent 0\n", "Gender 0\n", "dtype: int64" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Remove rows containing 'NaN's for the target variable 'Yearly Amount Spent'\n", "customers = customers.dropna(subset=['Yearly Amount Spent'])\n", "\n", "missing_values_summary = (customers.isnull() | customers.isin(symbols)).sum()\n", "missing_values_summary" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(495, 6)" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers.shape" ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Index: 495 entries, 0 to 499\n", "Data columns (total 6 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Avg. Session Length 495 non-null float64\n", " 1 Time on App 495 non-null float64\n", " 2 Time on Website 495 non-null float64\n", " 3 Length of Membership 495 non-null float64\n", " 4 Yearly Amount Spent 495 non-null float64\n", " 5 Gender 495 non-null object \n", "dtypes: float64(5), object(1)\n", "memory usage: 27.1+ KB\n" ] } ], "source": [ "customers.info()" ] }, { "cell_type": "code", "execution_count": 90, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 300 }, "executionInfo": { "elapsed": 14, "status": "ok", "timestamp": 1656576371466, "user": { "displayName": "జగన్నాధ రావు బాస", "userId": "11285849713500739157" }, "user_tz": -330 }, "id": "bX8QaqOiu5IL", "outputId": "b310943e-f707-4e5b-8e02-47a1c871e99a" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount Spent
count495.000000495.000000495.000000495.000000495.000000
mean33.04406812.03627237.0587113.517310547.848839
std0.9923140.9874781.0045650.9764791104.276373
min29.5324298.50815233.9138470.269901266.086341
25%32.33744411.38301636.3577412.929280445.014369
50%33.07773111.97540637.0693673.532517497.811930
75%33.70663312.72579337.6908194.109641548.763378
max36.13966215.12699440.0051826.92268925006.670580
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website \\\n", "count 495.000000 495.000000 495.000000 \n", "mean 33.044068 12.036272 37.058711 \n", "std 0.992314 0.987478 1.004565 \n", "min 29.532429 8.508152 33.913847 \n", "25% 32.337444 11.383016 36.357741 \n", "50% 33.077731 11.975406 37.069367 \n", "75% 33.706633 12.725793 37.690819 \n", "max 36.139662 15.126994 40.005182 \n", "\n", " Length of Membership Yearly Amount Spent \n", "count 495.000000 495.000000 \n", "mean 3.517310 547.848839 \n", "std 0.976479 1104.276373 \n", "min 0.269901 266.086341 \n", "25% 2.929280 445.014369 \n", "50% 3.532517 497.811930 \n", "75% 4.109641 548.763378 \n", "max 6.922689 25006.670580 " ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers.describe() # summary to understand the data, prints the summary only for numeric attributes by default" ] }, { "cell_type": "code", "execution_count": 91, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 175 }, "executionInfo": { "elapsed": 10, "status": "ok", "timestamp": 1656576371468, "user": { "displayName": "జగన్నాధ రావు బాస", "userId": "11285849713500739157" }, "user_tz": -330 }, "id": "prB-_H1iu5IM", "outputId": "2372ff3a-cb28-45ea-b661-14ab6c27f56a" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Gender
count495
unique2
topMale
freq259
\n", "
" ], "text/plain": [ " Gender\n", "count 495\n", "unique 2\n", "top Male\n", "freq 259" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers.describe(include=['object'])" ] }, { "cell_type": "markdown", "metadata": { "id": "v1dfXd9tAaJ1" }, "source": [ "## Error metrics to evaluate the model:\n", "### Let's evaluate model performance by calculating various error metrics for regression including R-squared (R^2)." ] }, { "cell_type": "code", "execution_count": 92, "metadata": { "id": "eTMnGBMIAaJ1" }, "outputs": [], "source": [ "def mean_absolute_percentage_error(y_true, y_pred):\n", " y_true, y_pred = np.array(y_true), np.array(y_pred)\n", " return np.mean(np.abs((y_true - y_pred) / y_true)) * 100\n", "#defining MAPE" ] }, { "cell_type": "code", "execution_count": 93, "metadata": { "id": "iogyg9fSAaJ2" }, "outputs": [], "source": [ "from sklearn import metrics\n", "import numpy as np\n", "\n", "scores=pd.DataFrame(columns=['Model','MAE_Train','MSE_Train','RMSE_Train','MAPE_Train','MAE_Test','MSE_Test','RMSE_Test','MAPE_Test','R2'])\n", "\n", "def mean_absolute_percentage_error(y_true, y_pred):\n", " # Calculate Mean Absolute Percentage Error (MAPE)\n", " return np.mean(np.abs((y_true - y_pred) / y_true)) * 100\n", "\n", "\n", "def get_metrics(y_train, y_train_pred, y_test, y_test_pred, model_name, scores):\n", " # Calculate metrics\n", " MAE_Train = metrics.mean_absolute_error(y_train, y_train_pred)\n", " MSE_Train = metrics.mean_squared_error(y_train, y_train_pred)\n", " RMSE_Train = np.sqrt(MSE_Train)\n", " MAPE_Train = mean_absolute_percentage_error(y_train, y_train_pred)\n", " RSE_Train = np.sum((y_train - y_train_pred) ** 2) / np.sum((y_train - np.mean(y_train)) ** 2)\n", " RAE_Train = np.sum(np.abs(y_train - y_train_pred)) / np.sum(np.abs(y_train - np.mean(y_train)))\n", " \n", " \n", " MAE_Test = metrics.mean_absolute_error(y_test, y_test_pred)\n", " MSE_Test = metrics.mean_squared_error(y_test, y_test_pred)\n", " RMSE_Test = np.sqrt(MSE_Test)\n", " MAPE_Test = mean_absolute_percentage_error(y_test, y_test_pred)\n", " RSE_Test = np.sum((y_test - y_test_pred) ** 2) / np.sum((y_test - np.mean(y_test)) ** 2)\n", " RAE_Test = np.sum(np.abs(y_test - y_test_pred)) / np.sum(np.abs(y_test - np.mean(y_test)))\n", " R2 = metrics.r2_score(y_train, y_train_pred)\n", " # R2_formatted = np.format_float_scientific(R2, precision=5) # or use format if you want\n", " \n", " # Create a DataFrame with new metrics\n", " new_metrics = pd.DataFrame({\n", " 'Model' : [model_name],\n", " 'MAE_Train' : [MAE_Train],\n", " 'MSE_Train' : [MSE_Train],\n", " 'RMSE_Train': [RMSE_Train],\n", " 'MAPE_Train': [MAPE_Train],\n", " 'RAE_Train' : [RAE_Train],\n", " 'RSE_Train' : [RSE_Train],\n", " 'MAE_Test' : [MAE_Test],\n", " 'MSE_Test' : [MSE_Test],\n", " 'RMSE_Test' : [RMSE_Test],\n", " 'MAPE_Test' : [MAPE_Test],\n", " 'RAE_Test' : [RAE_Test],\n", " 'RSE_Test' : [RSE_Test],\n", " 'R2' : [R2]\n", " })\n", " # Update scores DataFrame\n", " # scores = new_metrics\n", " # Append the new metrics to the existing scores DataFrame\n", " scores = pd.concat([scores, new_metrics], ignore_index=True)\n", " return scores" ] }, { "cell_type": "markdown", "metadata": { "id": "ta9bQL76AaJ2" }, "source": [ "# Coefficients" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [], "source": [ "# Define a global DataFrame to store coefficients\n", "coefficients_model = pd.DataFrame()\n", "\n", "# Function definition to store the coefficients of the models (also appends coeffs for every model)\n", "def coeff(model_title, modelparams):\n", " global coefficients_model # Refer to the global DataFrame\n", " tempdf = pd.DataFrame(modelparams)\n", " tempdf.rename(columns={0: model_title}, inplace=True)\n", " coefficients_model = pd.concat([coefficients_model, tempdf], axis=1)\n", " return coefficients_model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Multiple Regression model with ALL attributes (including Categorical) - Dummification" ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [], "source": [ "XWithCateg = customers.drop(['Yearly Amount Spent'], axis=1) #independent attributes\n", "y = customers['Yearly Amount Spent']" ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipGender
034.37425815.12699437.1576245.377594Female
134.60331112.20729833.9138476.922689Male
334.96761013.91949437.9520135.066697Female
434.38582012.72972037.0693675.705941Female
534.50755111.97540637.6357565.705154Male
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "0 34.374258 15.126994 37.157624 5.377594 \n", "1 34.603311 12.207298 33.913847 6.922689 \n", "3 34.967610 13.919494 37.952013 5.066697 \n", "4 34.385820 12.729720 37.069367 5.705941 \n", "5 34.507551 11.975406 37.635756 5.705154 \n", "\n", " Gender \n", "0 Female \n", "1 Male \n", "3 Female \n", "4 Female \n", "5 Male " ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "XWithCateg.head()" ] }, { "cell_type": "code", "execution_count": 97, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Length of Membership=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "", "line": { "color": "red" }, "marker": { "color": "#636efa", "symbol": "circle" }, "mode": "markers", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 5.377593584, 6.922689335, 5.066696864, 5.705940717, 5.705153971, 5.320093864, 3.53286158, 6.115198946, 4.968742674, 5.840505876, 5.405406467, 5.039955264, 6.076653638, 4.077775098, 5.485976734, 5.453969475, 4.794312263, 3.930615327, 5.493507201, 4.750360071, 4.297686524, 4.490002066, 5.007271987, 5.41235784, 3.634340224, 4.648199316, 3.605933918, 5.049927475, 4.594116865, 4.252006106, 4.802630631, 4.632460946, 4.125584363, 4.693732058, 4.574287716, 4.06454855, 5.226687713, 4.389455226, 4.446308318, 4.019051427, 4.069916619, 4.130562809, 4.694322274, 3.864860739, 5.038107494, 3.876875177, 5.137816746, 5.004820577, 4.350887844, 5.000243361, 5.254708926, 4.214495086, 4.330714462, 4.620416385, 4.343062915, 4.082620633, 5.462500764, 5.084861309, 3.606086889, 5.454463278, 4.008352235, 3.790552137, 4.000963586, 3.371258113, 3.120178783, 3.969417759, 4.330407444, 4.055775962, 3.258112883, 4.985204971, 4.806349619, 4.716104987, 4.712233579, 3.292797663, 4.615426307, 4.029453828, 3.792711955, 4.652854446, 3.746572973, 3.918541839, 4.920318406, 4.297737482, 3.798725319, 3.762070443, 4.664258497, 3.854473856, 3.273433578, 4.541695257, 4.25698329, 4.158214653, 3.515688256, 4.113226123, 5.314354141, 4.746989703, 4.195614413, 4.051382465, 4.478712608, 4.559699083, 4.20590389, 4.543332413, 2.90900846, 4.729484542, 3.772969025, 3.230973843, 4.626075292, 3.738225173, 4.595522709, 5.391275125, 4.003325039, 4.087837273, 4.74257752, 3.784273087, 3.701622287, 4.001786346, 3.905250309, 4.958264473, 4.183143662, 3.046540621, 4.520353377, 4.434273435, 3.663105491, 4.662845304, 3.318822279, 3.97452248, 3.283663455, 3.488029991, 3.970555628, 4.64325855, 3.345922321, 4.571213024, 4.403369831, 3.416209978, 4.369366794, 4.470282584, 4.560396067, 3.8710034, 3.130538462, 4.131276648, 3.229450904, 3.569046516, 4.531986607, 4.041244969, 3.275733705, 3.462298847, 3.310150347, 5.023934201, 4.198349061, 4.222436225, 4.082855279, 4.13175504, 3.597459969, 5.113319475, 3.768561963, 3.843848921, 3.827375915, 4.301996499, 3.8515788, 3.47202138, 4.599937358, 4.396651901, 4.808320373, 3.689916615, 3.641497162, 4.671275461, 4.334001444, 4.773503047, 4.048510087, 5.047022551, 4.02210291, 2.871947536, 3.923488746, 3.89711586, 2.685284836, 3.576525915, 4.852842407, 2.935577274, 3.680847338, 3.78493211, 3.228717686, 3.137068975, 2.907094935, 4.789201624, 3.982471513, 2.87459691, 3.713209203, 3.649286158, 4.685017247, 4.778973636, 4.027813842, 4.081802695, 2.995761183, 3.678589399, 3.919302309, 3.634996006, 3.184618662, 4.72402744, 4.106055152, 3.997255378, 3.447017793, 3.834169667, 4.01872661, 4.193324636, 3.456233824, 3.6758488, 4.331863027, 3.60439856, 3.397363093, 4.349778419, 3.086337272, 4.137000388, 2.768851943, 4.129254688, 3.447092896, 3.163091931, 4.116340467, 3.481062133, 3.90447938, 4.124585297, 3.911708668, 5.081210092, 3.873337569, 3.015175299, 3.802511439, 3.45175071, 2.957448757, 3.345570976, 4.243812817, 4.01598664, 3.917451119, 1.920715478, 2.941410754, 3.557813698, 3.373104674, 3.336339382, 4.03438613, 3.89289148, 3.3766875, 3.612239152, 3.467014066, 4.646119977, 4.717102513, 3.634093727, 2.964497876, 3.442799202, 3.549036057, 3.206756698, 2.873007509, 2.735159567, 3.062368145, 2.926940235, 3.393902788, 4.835528667, 3.471919137, 3.850279639, 3.021671822, 3.63770128, 3.023474446, 4.426364081, 3.781823039, 2.972271382, 4.791108745, 2.633419989, 3.722561173, 2.482607771, 2.379076497, 2.969640227, 3.046620189, 2.820097234, 3.452388583, 3.656983927, 3.585160635, 2.898299578, 3.751734552, 4.442054329, 3.12650949, 3.531402303, 3.516051017, 4.089330841, 4.104543202, 2.669941624, 4.288486771, 2.996364526, 3.535802468, 3.872432042, 3.620364988, 3.42014953, 2.709526627, 3.506967574, 3.392050489, 3.701229217, 3.414688423, 3.222080767, 3.350279288, 2.724108202, 3.525806412, 3.202531199, 4.514122441, 3.363411394, 2.905238361, 2.753424169, 3.41450624, 2.479339823, 3.316464745, 3.120568915, 3.53286158, 3.27946626, 4.086566338, 3.629339915, 4.650491269, 3.308443001, 3.863425442, 2.804013693, 3.164943995, 3.982462319, 3.010209778, 2.223993458, 3.826030618, 3.561215271, 3.771420132, 3.366463743, 4.019470352, 3.25174177, 3.049195744, 2.494543647, 3.139526935, 3.43959056, 3.309182328, 3.195625776, 3.218265385, 3.781703565, 3.361612985, 1.810079876, 2.532044062, 3.993656513, 3.669225611, 3.914384667, 3.803364999, 3.5942951, 3.089527782, 3.159754444, 2.782757828, 2.64859677, 3.53712388, 3.357846842, 2.761861926, 3.859817999, 2.910037917, 3.361814624, 2.739200467, 2.367848224, 3.136132716, 2.336484668, 3.315224754, 2.473596121, 1.516575581, 3.182329732, 3.201801722, 2.436958876, 3.552649767, 3.855471685, 2.476139051, 3.958892264, 3.275070681, 2.258686387, 3.471413452, 2.966558885, 2.018194629, 3.755869389, 3.532517165, 1.823595183, 2.602287112, 2.571777835, 2.139403004, 2.562818811, 2.837943164, 3.0130325, 3.811248171, 3.349245383, 3.178952405, 2.727209454, 2.952668958, 3.236732814, 4.078308002, 3.504833486, 2.974736815, 3.5786339, 2.361086947, 1.36267408, 2.910530822, 3.393975043, 2.402453833, 1.726962043, 2.245147787, 3.050712973, 2.117382542, 2.566639844, 2.491671541, 3.205529765, 3.189609942, 1.482359644, 2.924020725, 3.620354589, 1.785173945, 3.202806072, 2.652158305, 2.313349885, 3.261324745, 3.54354705, 3.02267576, 3.519032434, 2.190132185, 1.825884669, 3.072076141, 3.806670949, 2.721735992, 2.789461516, 3.002957023, 2.926396449, 2.267251114, 2.307552421, 2.586967985, 1.55915194, 4.238296188, 3.401522345, 3.198399272, 2.931619535, 2.594189721, 3.107468683, 3.09182687, 2.39907979, 3.215666827, 3.428859904, 2.847709026, 2.412830961, 2.094761669, 4.046423164, 2.779520719, 2.829699575, 2.086348147, 1.767730708, 2.420806161, 2.895075163, 2.783963128, 2.87098691, 2.208813678, 2.627624971, 1.820810618, 3.434559723, 1.623419609, 2.47175067, 2.32055025, 3.287701824, 3.535088428, 3.128638856, 3.088763958, 3.491093337, 2.664034182, 2.877224878, 2.57494847, 2.39516813, 3.108911449, 2.668919773, 1.13047696, 2.094891706, 2.868428182, 2.159676023, 2.214797519, 3.004742536, 2.18201697, 1.494310895, 2.699562055, 1.809229592, 1.715777167, 1.200483857, 1.139093538, 3.53286158, 2.61816531, 0.968622116, 2.921350141, 1.503854421, 1.443515075, 1.847370423, 1.914089924, 1.977007128, 1.707389729, 2.083814192, 0.26990109, 2.252445963, 0.936497597, 1.838210702, 0.80151572, 1.481616627, 1.428823877, 1.084585303, 0.789519908 ], "xaxis": "x", "y": [ 765.5184619, 744.2218671, 712.3963268, 708.9351849, 700.9170916, 689.2356998, 684.163431, 669.9871405, 666.1255917, 663.8036933, 663.0748176, 662.9610878, 657.0199239, 647.6194557, 642.1015787, 640.7861664, 640.5840619, 640.18774, 637.1024479, 632.1235881, 630.4227632, 630.1567282, 628.0478039, 627.6033187, 626.0186727, 619.8956399, 618.8459704, 616.660286, 614.7296376, 614.7153338, 613.5993234, 612.3852299, 611.0000251, 610.1280331, 608.2718166, 605.0610388, 604.8413188, 604.3348401, 599.406092, 597.7398789, 596.516698, 596.4301726, 595.8228367, 595.8038189, 594.2744834, 593.915003, 593.1564015, 593.0772413, 592.6884532, 591.7810894, 591.4377356, 591.1971782, 590.5627196, 589.0264898, 588.7126055, 587.951054, 587.5747995, 586.1558702, 585.9318443, 584.2183135, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 581.3089329, 578.9862586, 578.2416051, 577.7360249, 577.273455, 576.8025474, 576.4776072, 576.3111774, 576.0252441, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 573.3062223, 571.4710341, 571.3074949, 571.2160048, 570.6300981, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.8746577, 561.516532, 560.5601606, 560.4437922, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.6082621, 557.5292736, 557.2526867, 556.2981412, 556.1863689, 555.8925954, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.6201455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.8605905, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.3401663, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 538.7749335, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452, 499.1401524, 498.6355985, 497.81193, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.9334463, 496.6507081, 496.5540816, 495.2994425, 495.1759504, 494.6871558, 494.6386098, 494.5518611, 493.719193, 493.1812614, 493.1802162, 492.9450531, 492.6060127, 492.5568337, 492.1050524, 491.9115051, 491.0732237, 490.7386321, 490.6004425, 490.2066, 489.9080531, 489.812488, 488.7860611, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.5475049, 487.379306, 486.9470538, 486.8389348, 486.1637991, 486.0834255, 485.9231305, 484.8769649, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.8853913, 478.7193569, 478.6009159, 478.584286, 478.2621264, 478.1830597, 478.1703341, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.7250679, 475.2634237, 475.0716299, 475.0154071, 474.5323294, 473.9498574, 473.7289665, 473.3604956, 472.9922467, 471.6028844, 470.4527333, 469.3831462, 469.3108615, 468.9135013, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 465.1766233, 463.923513, 463.7459811, 463.591418, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.4418601, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409, 25006.67058 ], "yaxis": "y" }, { "hovertemplate": "OLS trendline
Yearly Amount Spent = -80.03 * Length of Membership + 829.339
R2=0.005008

Length of Membership=%{x}
Yearly Amount Spent=%{y} (trend)", "legendgroup": "", "line": { "color": "red" }, "marker": { "color": "#636efa", "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scatter", "x": [ 0.26990109, 0.789519908, 0.80151572, 0.936497597, 0.968622116, 1.084585303, 1.13047696, 1.139093538, 1.200483857, 1.36267408, 1.428823877, 1.443515075, 1.481616627, 1.482359644, 1.494310895, 1.503854421, 1.516575581, 1.55915194, 1.623419609, 1.707389729, 1.715777167, 1.726962043, 1.767730708, 1.785173945, 1.809229592, 1.810079876, 1.820810618, 1.823595183, 1.825884669, 1.838210702, 1.847370423, 1.914089924, 1.920715478, 1.977007128, 2.018194629, 2.083814192, 2.086348147, 2.094761669, 2.094891706, 2.117382542, 2.139403004, 2.159676023, 2.18201697, 2.190132185, 2.208813678, 2.214797519, 2.223993458, 2.245147787, 2.252445963, 2.258686387, 2.267251114, 2.307552421, 2.313349885, 2.32055025, 2.336484668, 2.361086947, 2.367848224, 2.379076497, 2.39516813, 2.39907979, 2.402453833, 2.412830961, 2.420806161, 2.436958876, 2.47175067, 2.473596121, 2.476139051, 2.479339823, 2.482607771, 2.491671541, 2.494543647, 2.532044062, 2.562818811, 2.566639844, 2.571777835, 2.57494847, 2.586967985, 2.594189721, 2.602287112, 2.61816531, 2.627624971, 2.633419989, 2.64859677, 2.652158305, 2.664034182, 2.668919773, 2.669941624, 2.685284836, 2.699562055, 2.709526627, 2.721735992, 2.724108202, 2.727209454, 2.735159567, 2.739200467, 2.753424169, 2.761861926, 2.768851943, 2.779520719, 2.782757828, 2.783963128, 2.789461516, 2.804013693, 2.820097234, 2.829699575, 2.837943164, 2.847709026, 2.868428182, 2.87098691, 2.871947536, 2.873007509, 2.87459691, 2.877224878, 2.895075163, 2.898299578, 2.905238361, 2.907094935, 2.90900846, 2.910037917, 2.910530822, 2.921350141, 2.924020725, 2.926396449, 2.926940235, 2.931619535, 2.935577274, 2.941410754, 2.952668958, 2.957448757, 2.964497876, 2.966558885, 2.969640227, 2.972271382, 2.974736815, 2.995761183, 2.996364526, 3.002957023, 3.004742536, 3.010209778, 3.0130325, 3.015175299, 3.021671822, 3.02267576, 3.023474446, 3.046540621, 3.046620189, 3.049195744, 3.050712973, 3.062368145, 3.072076141, 3.086337272, 3.088763958, 3.089527782, 3.09182687, 3.107468683, 3.108911449, 3.120178783, 3.120568915, 3.12650949, 3.128638856, 3.130538462, 3.136132716, 3.137068975, 3.139526935, 3.159754444, 3.163091931, 3.164943995, 3.178952405, 3.182329732, 3.184618662, 3.189609942, 3.195625776, 3.198399272, 3.201801722, 3.202531199, 3.202806072, 3.205529765, 3.206756698, 3.215666827, 3.218265385, 3.222080767, 3.228717686, 3.229450904, 3.230973843, 3.236732814, 3.25174177, 3.258112883, 3.261324745, 3.273433578, 3.275070681, 3.275733705, 3.27946626, 3.283663455, 3.287701824, 3.292797663, 3.308443001, 3.309182328, 3.310150347, 3.315224754, 3.316464745, 3.318822279, 3.336339382, 3.345570976, 3.345922321, 3.349245383, 3.350279288, 3.357846842, 3.361612985, 3.361814624, 3.363411394, 3.366463743, 3.371258113, 3.373104674, 3.3766875, 3.392050489, 3.393902788, 3.393975043, 3.397363093, 3.401522345, 3.41450624, 3.414688423, 3.416209978, 3.42014953, 3.428859904, 3.434559723, 3.43959056, 3.442799202, 3.447017793, 3.447092896, 3.45175071, 3.452388583, 3.456233824, 3.462298847, 3.467014066, 3.471413452, 3.471919137, 3.47202138, 3.481062133, 3.488029991, 3.491093337, 3.504833486, 3.506967574, 3.515688256, 3.516051017, 3.519032434, 3.525806412, 3.531402303, 3.532517165, 3.53286158, 3.53286158, 3.53286158, 3.535088428, 3.535802468, 3.53712388, 3.54354705, 3.549036057, 3.552649767, 3.557813698, 3.561215271, 3.569046516, 3.576525915, 3.5786339, 3.585160635, 3.5942951, 3.597459969, 3.60439856, 3.605933918, 3.606086889, 3.612239152, 3.620354589, 3.620364988, 3.629339915, 3.634093727, 3.634340224, 3.634996006, 3.63770128, 3.641497162, 3.649286158, 3.656983927, 3.663105491, 3.669225611, 3.6758488, 3.678589399, 3.680847338, 3.689916615, 3.701229217, 3.701622287, 3.713209203, 3.722561173, 3.738225173, 3.746572973, 3.751734552, 3.755869389, 3.762070443, 3.768561963, 3.771420132, 3.772969025, 3.781703565, 3.781823039, 3.784273087, 3.78493211, 3.790552137, 3.792711955, 3.798725319, 3.802511439, 3.803364999, 3.806670949, 3.811248171, 3.826030618, 3.827375915, 3.834169667, 3.843848921, 3.850279639, 3.8515788, 3.854473856, 3.855471685, 3.859817999, 3.863425442, 3.864860739, 3.8710034, 3.872432042, 3.873337569, 3.876875177, 3.89289148, 3.89711586, 3.90447938, 3.905250309, 3.911708668, 3.914384667, 3.917451119, 3.918541839, 3.919302309, 3.923488746, 3.930615327, 3.958892264, 3.969417759, 3.970555628, 3.97452248, 3.982462319, 3.982471513, 3.993656513, 3.997255378, 4.000963586, 4.001786346, 4.003325039, 4.008352235, 4.01598664, 4.01872661, 4.019051427, 4.019470352, 4.02210291, 4.027813842, 4.029453828, 4.03438613, 4.041244969, 4.046423164, 4.048510087, 4.051382465, 4.055775962, 4.06454855, 4.069916619, 4.077775098, 4.078308002, 4.081802695, 4.082620633, 4.082855279, 4.086566338, 4.087837273, 4.089330841, 4.104543202, 4.106055152, 4.113226123, 4.116340467, 4.124585297, 4.125584363, 4.129254688, 4.130562809, 4.131276648, 4.13175504, 4.137000388, 4.158214653, 4.183143662, 4.193324636, 4.195614413, 4.198349061, 4.20590389, 4.214495086, 4.222436225, 4.238296188, 4.243812817, 4.252006106, 4.25698329, 4.288486771, 4.297686524, 4.297737482, 4.301996499, 4.330407444, 4.330714462, 4.331863027, 4.334001444, 4.343062915, 4.349778419, 4.350887844, 4.369366794, 4.389455226, 4.396651901, 4.403369831, 4.426364081, 4.434273435, 4.442054329, 4.446308318, 4.470282584, 4.478712608, 4.490002066, 4.514122441, 4.520353377, 4.531986607, 4.541695257, 4.543332413, 4.559699083, 4.560396067, 4.571213024, 4.574287716, 4.594116865, 4.595522709, 4.599937358, 4.615426307, 4.620416385, 4.626075292, 4.632460946, 4.64325855, 4.646119977, 4.648199316, 4.650491269, 4.652854446, 4.662845304, 4.664258497, 4.671275461, 4.685017247, 4.693732058, 4.694322274, 4.712233579, 4.716104987, 4.717102513, 4.72402744, 4.729484542, 4.74257752, 4.746989703, 4.750360071, 4.773503047, 4.778973636, 4.789201624, 4.791108745, 4.794312263, 4.802630631, 4.806349619, 4.808320373, 4.835528667, 4.852842407, 4.920318406, 4.958264473, 4.968742674, 4.985204971, 5.000243361, 5.004820577, 5.007271987, 5.023934201, 5.038107494, 5.039955264, 5.047022551, 5.049927475, 5.066696864, 5.081210092, 5.084861309, 5.113319475, 5.137816746, 5.226687713, 5.254708926, 5.314354141, 5.320093864, 5.377593584, 5.391275125, 5.405406467, 5.41235784, 5.453969475, 5.454463278, 5.462500764, 5.485976734, 5.493507201, 5.705153971, 5.705940717, 5.840505876, 6.076653638, 6.115198946, 6.922689335 ], "xaxis": "x", "y": [ 807.73881645098, 766.1537450876897, 765.1937207760209, 754.39112704125, 751.8202031854354, 742.5396743826668, 738.866967072585, 738.1773827106935, 733.2643181560719, 720.284241676465, 714.9902763048872, 713.8145403690838, 710.7652748227154, 710.7058112045808, 709.7493531078003, 708.9855851378585, 707.9675112573551, 704.5601271017565, 699.4167883520091, 692.6966633072228, 692.025417009547, 691.1302918706234, 687.8675773870785, 686.4715958900193, 684.5464235087813, 684.4783753173106, 683.6195945026192, 683.3967458870005, 683.2135184221798, 682.2270665382696, 681.4940144657544, 676.1544557078802, 675.6242129099542, 671.1191946132393, 667.8229607028643, 662.5714299352027, 662.3686376269643, 661.695303827905, 661.684896972461, 659.8849563473699, 658.1226597330032, 656.5002109057855, 654.7122658908332, 654.062805587986, 652.567726517201, 652.0888399827037, 651.3528893852266, 649.65990935711, 649.075836649832, 648.5764157890248, 647.890981060404, 644.6656692172351, 644.2016984259268, 643.6254535287169, 642.3502227504841, 640.3813034341046, 639.8401987304023, 638.9416005314597, 637.6537878436272, 637.3407378642693, 637.0707133499958, 636.2402322483164, 635.6019773398182, 634.3092762621873, 631.5248905043434, 631.3771991412249, 631.1736885641275, 630.917530920434, 630.6559971843877, 629.9306240662216, 629.7007695481873, 626.6996129697355, 624.2367111482077, 623.9309140437109, 623.5197208478576, 623.265975066961, 622.3040538052351, 621.7260985878263, 621.0780647389223, 619.8073332448399, 619.0502769871939, 618.5865019491591, 617.3719048270241, 617.0868753361601, 616.1364494173155, 615.7454557824643, 615.6636770914592, 614.4357605036461, 613.2931552891745, 612.4956910261989, 611.5185760772451, 611.328728214309, 611.0805351518793, 610.444287954898, 610.1208949039714, 608.982572652678, 608.3072993276247, 607.7478885716894, 606.8940668932778, 606.6350012010578, 606.5385410945761, 606.0985053425162, 604.9338952512854, 603.6467301658604, 602.8782552340314, 602.2185211655577, 601.4369596552236, 599.7788065033354, 599.5740316129863, 599.4971527560635, 599.4123231630596, 599.2851234702841, 599.0748073057522, 597.6462497749891, 597.388199983036, 596.8328894818882, 596.6843079455643, 596.531168623192, 596.4487812243383, 596.4093340586655, 595.5434644305236, 595.3297377093685, 595.1396086211654, 595.0960894512797, 594.72160527617, 594.4048675964498, 593.9380144462308, 593.0370208706623, 592.6544937649616, 592.0903530785415, 591.9254106180755, 591.6788109520782, 591.468239732075, 591.2709312365108, 589.5883519815615, 589.5400664675609, 589.0124692199045, 588.8695746923142, 588.4320315532773, 588.2061292346112, 588.034641124009, 587.5147246713907, 587.4343795569952, 587.3704607512161, 585.5244757710241, 585.5181079474511, 585.3119863930252, 585.1905626222651, 584.2577997149536, 583.4808692180783, 582.3395515255457, 582.1453439507034, 582.0842151492653, 581.900219236803, 580.6484056239707, 580.5329411238561, 579.6312168747853, 579.5999946278245, 579.124570669422, 578.9541576012244, 578.8021322158156, 578.3544243119529, 578.2794955449784, 578.0827851132786, 576.4639784493779, 576.1968795101916, 576.0486589089712, 574.927566467057, 574.6572791344066, 574.4740961662417, 574.0746442453258, 573.5931973124325, 573.3712345484015, 573.0989366231559, 573.0405566106311, 573.0185585364181, 572.800581504307, 572.702390109778, 571.9893128741473, 571.7813503906337, 571.4760055354207, 570.9448531970398, 570.8861737924482, 570.764293050637, 570.3034028524415, 569.1022367577438, 568.5923568619611, 568.3353116860509, 567.3662423086768, 567.2352250269199, 567.1821632450897, 566.8834470310776, 566.5475456981112, 566.2243552030043, 565.8165354298742, 564.5644397114455, 564.5052714038501, 564.4278008854593, 564.0216963143555, 563.9224598886553, 563.7337865453597, 562.3318935555391, 561.5930894899656, 561.5649713649246, 561.2990268578598, 561.2162834857598, 560.6106524688795, 560.3092482086909, 560.2931110483069, 560.1653216147826, 559.921042257312, 559.5373490351161, 559.389568838746, 559.1028354300797, 557.8733360898183, 557.7250966815582, 557.7193141170565, 557.4481686231834, 557.1153038668537, 556.0762033157483, 556.0616232181966, 555.939853237845, 555.6245710629423, 554.9274802112578, 554.4713239450449, 554.0687062791426, 553.8119187996921, 553.474305145778, 553.4682946559603, 553.0955300044944, 553.0444810560983, 552.7367465864163, 552.2513630599964, 551.8740042888817, 551.5219216189952, 551.4814516704794, 551.4732691676444, 550.7497380989853, 550.1921007268545, 549.9469412799531, 548.8473177541799, 548.676526784528, 547.9786109840527, 547.9495792370292, 547.7109765644278, 547.1688554002491, 546.7210164873478, 546.6317941300655, 546.6042306126226, 546.6042306126226, 546.6042306126226, 546.4260160642126, 546.3688714741253, 546.2631189293429, 545.7490729141185, 545.30978792308, 545.0205828692394, 544.6073136963164, 544.3350859573425, 543.7083517612217, 543.1097757851502, 542.941073837451, 542.4187395197891, 541.6877086838534, 541.4344243556856, 540.8791292202895, 540.7562545864494, 540.7440123239847, 540.2516469841661, 539.6021689146684, 539.6013366831515, 538.8830736664042, 538.5026262991812, 538.4828991550118, 538.4304169501261, 538.2139139897824, 537.9101297187196, 537.2867767082281, 536.6707245905715, 536.1808160903852, 535.691023153456, 535.1609696263769, 534.9416396078225, 534.7609368480372, 534.035123004901, 533.1297759597628, 533.09831858479, 532.1710182021844, 531.422580450576, 530.1689912131004, 529.5009171428375, 529.087836200372, 528.7569253754284, 528.2606552940058, 527.7411392312595, 527.512400090728, 527.3884422514276, 526.689417395816, 526.6798558968018, 526.4837786621173, 526.4310370801427, 525.981266564213, 525.8084164237824, 525.3271671648815, 525.0241641462534, 524.9558537766454, 524.691278742195, 524.3249638649773, 523.14192527568, 523.0342612153884, 522.4905575388512, 521.7159272629834, 521.2012771816479, 521.097305383426, 520.8656141778918, 520.7857579664999, 520.437922646461, 520.1492191403574, 520.0343523839873, 519.5427554918102, 519.4284213348003, 519.3559520484466, 519.07283743435, 517.7910534031354, 517.4529764558034, 516.8636742710527, 516.8019768567742, 516.285114667413, 516.0709545840438, 515.8255465640977, 515.7382562900234, 515.6773959090592, 515.342355538364, 514.7720155714592, 512.5090135354546, 511.66665862922997, 511.5755950227402, 511.258128030027, 510.6227030608181, 510.62196726539867, 509.72683220276053, 509.43881519362316, 509.1420474689602, 509.07620202201014, 508.95306048826535, 508.55073421143436, 507.93975311193674, 507.720473432225, 507.69447834186815, 507.6609517923719, 507.4502682903398, 506.9932226512212, 506.8619746430999, 506.4672427289542, 505.9183301426431, 505.5039194224215, 505.3369030656646, 505.1070267794822, 504.75541540600915, 504.0533455706155, 503.6237392424473, 502.99482551049323, 502.9521772265934, 502.6724970980769, 502.60703755557677, 502.58825884642096, 502.2912629563522, 502.18955008368044, 502.07001990171943, 500.85257531373463, 500.73157402111457, 500.1576815244439, 499.9084407098246, 499.24860732417494, 499.16865211572707, 498.87491616590347, 498.77022729927194, 498.7130987952059, 498.67481310429076, 498.2550281324053, 496.55725142882034, 494.5621839247772, 493.7474010191708, 493.56415026563275, 493.3452965053491, 492.74068386966417, 492.05313082812665, 491.4176018199744, 490.1483296721475, 489.70683409365245, 489.0511255319871, 488.65280171333694, 486.131579501602, 485.395323669871, 485.39124550335146, 485.0503965584187, 482.77666986801324, 482.7520992308509, 482.66017962394716, 482.48904220461395, 481.7638530753177, 481.22641158281107, 481.1376243484018, 479.65875478508144, 478.0510784474308, 477.4751288607601, 476.9374932155792, 475.0972643900032, 474.46427913401595, 473.8415745262313, 473.5011279719196, 471.5824685085656, 470.9078140551653, 470.0043192233387, 468.07396666308114, 467.5753051265005, 466.64429823649294, 465.8673154000261, 465.73629387668154, 464.4264699897233, 464.3706903905728, 463.505009793188, 463.258942326401, 461.6720163959426, 461.55950676187916, 461.2062025947678, 459.9666226811948, 459.5672669562864, 459.1143848756509, 458.60334126427176, 457.7392094866337, 457.5102096085041, 457.34380019893666, 457.16037530021356, 456.97125034787376, 456.1716824174635, 456.0585846432503, 455.4970173200791, 454.39726278526723, 453.699816840666, 453.6525818799034, 452.21914092119914, 451.9093123076473, 451.8294803453323, 451.2752787392608, 450.8385471039821, 449.7907166451398, 449.43760983190106, 449.16787942771737, 447.31574806684176, 446.8779370675407, 446.0593916335628, 445.90676482303144, 445.6503874170777, 444.9846687884923, 444.6870383408991, 444.5293189841504, 442.35184040087205, 440.9662225430803, 435.5661212832289, 432.5292991946355, 431.6907292251701, 430.3732523135685, 429.1697306171334, 428.80341622009547, 428.6072299846103, 427.2737537242097, 426.13946570298987, 425.9915887504024, 425.42599407973387, 425.19351313858965, 423.85145966760894, 422.689966663151, 422.39775992573476, 420.1202541407569, 418.1597386100417, 411.0473989933891, 408.8048625379619, 404.03145858042126, 403.57210879882706, 398.9704087126512, 397.8754755825643, 396.74454489804657, 396.18822681974734, 392.85804948383304, 392.8185304512594, 392.1752907968953, 390.2965099407091, 389.6938469948227, 372.75576521376627, 372.69280196566694, 361.92355815427845, 343.02466305103894, 339.9398837313262, 275.3164630842777 ], "yaxis": "y" } ], "layout": { "height": 600, "legend": { "tracegroupgap": 0 }, "margin": { "t": 60 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "width": 900, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ -0.14179385454631738, 7.334384279546318 ], "title": { "text": "Length of Membership" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -1361.984085658241, 26634.741006558244 ], "title": { "text": "Yearly Amount Spent" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "# Scatter plot of Length of Membership vs Yearly Amount Spent \n", "fig_with_outliers = px.scatter(customers, x=\"Length of Membership\", y=\"Yearly Amount Spent\", trendline=\"ols\")\n", "\n", "# Update the trendline color to red\n", "fig_with_outliers.update_traces(line=dict(color='red'))\n", "\n", "# Update the layout to resize the figure\n", "fig_with_outliers.update_layout(\n", " width=900, # Width in pixels (10 inches * 100 pixels per inch)\n", " height=600 # Height in pixels (6 inches * 100 pixels per inch)\n", ")\n", "fig_with_outliers.show() #plotting scatter plot with \"Avg. Session Length\",\"Time on App\"" ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Time on App=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "", "line": { "color": "green" }, "marker": { "color": "#636efa", "symbol": "circle" }, "mode": "markers", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 15.12699429, 12.20729849, 13.9194944, 12.72971951, 11.975406135, 14.12178384, 12.38718417, 10.88982828, 13.28303287, 12.1351014, 13.07869244, 13.80879868, 12.96576148, 14.22097911, 12.73221159, 12.15858523, 13.42054574, 14.42649105, 12.02692534, 11.975406135, 13.90991551, 13.30029936, 12.88412462, 12.62543264, 14.32565494, 12.78389178, 13.59251266, 13.32541219, 12.89237451, 13.34991294, 13.72862718, 12.03880824, 13.5162843, 13.03253498, 13.05221039, 13.98959256, 12.63755716, 12.11494496, 12.79518855, 12.12540197, 13.39112018, 13.89808199, 12.22893471, 12.05026723, 12.64420212, 13.14655143, 11.30446231, 11.7259101, 11.9171157, 12.72567737, 11.23650676, 12.50752537, 12.49432293, 13.00436201, 13.38749211, 12.65565115, 11.1673569, 12.44304789, 13.4023319, 11.14343308, 12.44761745, 13.13002166, 11.91221048, 13.3254691, 13.71751367, 12.9882206, 12.66419262, 12.47445545, 13.58780608, 10.77024892, 11.85766344, 11.56402237, 12.00591637, 12.85499037, 12.81539265, 11.37925718, 12.93092854, 11.5914397, 13.56615961, 12.95922609, 12.42413041, 12.63857212, 13.06863858, 14.13289346, 12.46113544, 12.93155027, 13.38623528, 11.33248778, 11.66886651, 12.42873693, 13.66576979, 12.98851015, 11.34726361, 11.08458409, 13.14966956, 12.50421981, 11.65983284, 11.62099651, 12.60888879, 11.93689516, 13.72245368, 11.15396605, 13.88727541, 13.17777453, 13.27895623, 14.03986726, 11.1371403, 10.98483589, 11.86648121, 11.72400223, 11.96502, 11.77777204, 12.66780888, 12.69578975, 11.92439492, 11.49940906, 11.55030011, 13.53191346, 11.79588668, 12.35195897, 12.17052542, 11.51494907, 13.45212896, 12.10454243, 12.75207661, 12.91457009, 12.06415663, 11.52987821, 12.96030713, 12.8288934, 12.16859647, 11.73066139, 13.37806333, 11.43337993, 12.94155573, 13.29114305, 12.41554196, 12.75916898, 12.96889313, 13.39445179, 12.57989417, 11.40577045, 12.95627661, 13.27631301, 11.93593497, 11.75234317, 10.5724666, 12.48901322, 11.56852664, 12.17857308, 13.33283928, 11.63466822, 12.54248105, 12.37849022, 12.69266143, 11.18680872, 12.81711309, 12.95326254, 11.36549203, 10.3380727, 11.38677555, 12.95481145, 13.10515852, 11.73310622, 12.43312853, 11.54876144, 10.72841854, 9.477777608, 13.27147504, 13.67724584, 11.98204499, 12.21525242, 13.6851189, 11.69573629, 11.43553387, 13.25273709, 12.67740144, 11.37808709, 12.78217179, 12.58154773, 13.89131342, 10.90255623, 12.27605698, 12.64519514, 11.584783, 11.9363865, 11.36634831, 10.16317906, 11.12087087, 11.94234087, 13.76153285, 11.59187167, 11.65757592, 11.91763618, 13.41075918, 11.08436084, 11.95792306, 11.66226343, 12.22248394, 11.76117233, 11.1133299, 11.83023109, 13.04124459, 12.71803917, 11.73299146, 11.58631953, 12.14474854, 11.9078441, 13.48500899, 11.01675564, 13.35063168, 11.12136606, 11.6930582, 11.60899707, 11.03785041, 12.7179951, 11.23596895, 11.63489325, 12.02011209, 9.607314688, 12.08930957, 13.16002004, 11.470565, 11.95642648, 11.96689808, 12.488067, 10.99968366, 11.2026699, 12.06881608, 13.06789568, 13.45772494, 13.1722875, 13.05827793, 11.91867031, 11.37176736, 11.10945633, 11.90650776, 11.83211223, 12.6007504, 10.63456132, 11.05232365, 11.62277717, 14.28801459, 12.31984506, 11.96598027, 11.8873453, 12.03964784, 12.41880832, 12.30541781, 13.08550576, 12.48266992, 10.74853366, 11.83228622, 12.44261655, 12.08409173, 12.80988347, 12.26650384, 11.73136429, 12.19047429, 12.83280284, 10.31471792, 13.03356618, 12.17833133, 13.33897545, 13.47157767, 12.59542035, 11.88780042, 13.10450724, 11.98441752, 11.8229833, 13.28043224, 13.18681287, 12.59567131, 10.88956686, 12.50654819, 12.52747174, 11.76432596, 12.35763811, 11.33027806, 12.51766629, 12.38651626, 13.00781942, 12.45120001, 11.40964462, 12.29336584, 12.84649907, 12.49105874, 12.05534016, 11.58865542, 10.80696607, 11.67006592, 12.4181132, 12.32629139, 12.70368793, 11.76444759, 11.86412636, 10.48050683, 11.65659203, 12.21407375, 12.01102188, 12.22296745, 12.76153128, 12.27698171, 12.23805735, 11.97906148, 12.48070152, 10.73213134, 10.97139243, 9.954975969, 11.72447386, 10.73536292, 12.58924056, 11.92884209, 12.32914702, 13.01445915, 12.90266489, 10.94684194, 11.52056679, 12.22772828, 10.60772387, 10.95235338, 12.41896198, 12.09396636, 13.14872569, 12.26371768, 11.83547609, 12.3643416, 11.79779551, 10.65179378, 11.23074331, 13.10010954, 12.80775183, 12.23565925, 10.8616042, 10.85960853, 10.53730754, 11.39520943, 11.68490419, 12.38069498, 10.94725858, 11.90375668, 13.08535689, 10.61053652, 12.63660605, 11.85468192, 10.39845771, 11.91141556, 12.14937549, 12.03950237, 13.01337563, 11.73386169, 12.39142299, 10.56829469, 11.81058676, 14.71538754, 11.509048, 10.98280553, 11.38864458, 11.18753891, 9.984514397, 12.53035737, 11.73509455, 11.54627576, 13.41493474, 10.86916381, 11.60899794, 13.03951103, 11.22654566, 11.48158715, 13.18518117, 11.88749413, 12.59419407, 12.6853939, 12.7107013, 11.55182117, 11.52352268, 11.34003593, 11.61265077, 12.09588949, 11.67322925, 10.95679097, 11.64496955, 11.35104901, 10.98574015, 12.46114744, 10.96313178, 13.44340599, 13.66474788, 12.21685469, 10.70664152, 11.48419869, 12.66439052, 13.37856278, 10.98397673, 11.82272175, 11.38861262, 11.281445, 11.94717532, 11.58894858, 12.91484663, 11.54083244, 11.16315954, 13.97018107, 11.81412829, 10.71635514, 12.02694222, 10.93325228, 11.01048213, 11.50925345, 10.77107406, 11.73704064, 12.29651768, 12.13250911, 9.846124909, 11.76581265, 11.60253219, 10.62794923, 10.63676108, 13.26676035, 12.35460708, 11.44890154, 12.8779837, 10.1016322, 10.67465347, 11.39806419, 10.97255431, 11.22336889, 11.03135834, 10.54264542, 12.07483017, 9.953995006, 10.99422392, 12.04533198, 11.20115977, 11.24681261, 10.9612984, 11.30623234, 11.97175079, 11.65803681, 11.85189083, 12.01319469, 10.44123506, 10.94206962, 10.97316208, 11.20156988, 10.96980287, 11.7618838, 10.34787695, 12.13879388, 11.56811634, 11.23341495, 10.13171246, 10.04731474, 10.88692118, 11.19966096, 10.29035077, 11.10946073, 11.28193107, 11.07625934, 11.79297182, 10.01258337, 11.26825923, 12.28446707, 10.32011626, 9.316289204, 11.91885971, 10.5345535, 10.71914974, 11.7397438, 13.18791099, 10.80489056, 11.46698422, 11.69168613, 12.96832561, 12.72590932, 11.91374515, 10.07946345, 11.975406135, 9.82440177, 11.81857176, 11.9192424, 11.7550237, 10.87555955, 10.75713093, 11.30555143, 11.80298578, 12.55610762, 8.668349517, 10.98576379, 8.508152176, 11.7477317, 11.56293625, 10.74518855, 11.85139874, 10.25654903 ], "xaxis": "x", "y": [ 765.5184619, 744.2218671, 712.3963268, 708.9351849, 700.9170916, 689.2356998, 684.163431, 669.9871405, 666.1255917, 663.8036933, 663.0748176, 662.9610878, 657.0199239, 647.6194557, 642.1015787, 640.7861664, 640.5840619, 640.18774, 637.1024479, 632.1235881, 630.4227632, 630.1567282, 628.0478039, 627.6033187, 626.0186727, 619.8956399, 618.8459704, 616.660286, 614.7296376, 614.7153338, 613.5993234, 612.3852299, 611.0000251, 610.1280331, 608.2718166, 605.0610388, 604.8413188, 604.3348401, 599.406092, 597.7398789, 596.516698, 596.4301726, 595.8228367, 595.8038189, 594.2744834, 593.915003, 593.1564015, 593.0772413, 592.6884532, 591.7810894, 591.4377356, 591.1971782, 590.5627196, 589.0264898, 588.7126055, 587.951054, 587.5747995, 586.1558702, 585.9318443, 584.2183135, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 581.3089329, 578.9862586, 578.2416051, 577.7360249, 577.273455, 576.8025474, 576.4776072, 576.3111774, 576.0252441, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 573.3062223, 571.4710341, 571.3074949, 571.2160048, 570.6300981, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.8746577, 561.516532, 560.5601606, 560.4437922, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.6082621, 557.5292736, 557.2526867, 556.2981412, 556.1863689, 555.8925954, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.6201455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.8605905, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.3401663, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 538.7749335, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452, 499.1401524, 498.6355985, 497.81193, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.9334463, 496.6507081, 496.5540816, 495.2994425, 495.1759504, 494.6871558, 494.6386098, 494.5518611, 493.719193, 493.1812614, 493.1802162, 492.9450531, 492.6060127, 492.5568337, 492.1050524, 491.9115051, 491.0732237, 490.7386321, 490.6004425, 490.2066, 489.9080531, 489.812488, 488.7860611, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.5475049, 487.379306, 486.9470538, 486.8389348, 486.1637991, 486.0834255, 485.9231305, 484.8769649, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.8853913, 478.7193569, 478.6009159, 478.584286, 478.2621264, 478.1830597, 478.1703341, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.7250679, 475.2634237, 475.0716299, 475.0154071, 474.5323294, 473.9498574, 473.7289665, 473.3604956, 472.9922467, 471.6028844, 470.4527333, 469.3831462, 469.3108615, 468.9135013, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 465.1766233, 463.923513, 463.7459811, 463.591418, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.4418601, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409, 25006.67058 ], "yaxis": "y" }, { "hovertemplate": "OLS trendline
Yearly Amount Spent = -53.4262 * Time on App + 1190.9
R2=0.002282

Time on App=%{x}
Yearly Amount Spent=%{y} (trend)", "legendgroup": "", "line": { "color": "green" }, "marker": { "color": "#636efa", "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scatter", "x": [ 8.508152176, 8.668349517, 9.316289204, 9.477777608, 9.607314688, 9.82440177, 9.846124909, 9.953995006, 9.954975969, 9.984514397, 10.01258337, 10.04731474, 10.07946345, 10.1016322, 10.13171246, 10.16317906, 10.25654903, 10.29035077, 10.31471792, 10.32011626, 10.3380727, 10.34787695, 10.39845771, 10.44123506, 10.48050683, 10.5345535, 10.53730754, 10.54264542, 10.56829469, 10.5724666, 10.60772387, 10.61053652, 10.62794923, 10.63456132, 10.63676108, 10.65179378, 10.67465347, 10.70664152, 10.71635514, 10.71914974, 10.72841854, 10.73213134, 10.73536292, 10.74518855, 10.74853366, 10.75713093, 10.77024892, 10.77107406, 10.80489056, 10.80696607, 10.85960853, 10.8616042, 10.86916381, 10.87555955, 10.88692118, 10.88956686, 10.88982828, 10.90255623, 10.93325228, 10.94206962, 10.94684194, 10.94725858, 10.95235338, 10.95679097, 10.9612984, 10.96313178, 10.96980287, 10.97139243, 10.97255431, 10.97316208, 10.98280553, 10.98397673, 10.98483589, 10.98574015, 10.98576379, 10.99422392, 10.99968366, 11.01048213, 11.01675564, 11.03135834, 11.03785041, 11.05232365, 11.07625934, 11.08436084, 11.08458409, 11.10945633, 11.10946073, 11.1133299, 11.12087087, 11.12136606, 11.1371403, 11.14343308, 11.15396605, 11.16315954, 11.1673569, 11.18680872, 11.18753891, 11.19966096, 11.20115977, 11.20156988, 11.2026699, 11.22336889, 11.22654566, 11.23074331, 11.23341495, 11.23596895, 11.23650676, 11.24681261, 11.26825923, 11.281445, 11.28193107, 11.30446231, 11.30555143, 11.30623234, 11.33027806, 11.33248778, 11.34003593, 11.34726361, 11.35104901, 11.36549203, 11.36634831, 11.37176736, 11.37808709, 11.37925718, 11.38677555, 11.38861262, 11.38864458, 11.39520943, 11.39806419, 11.40577045, 11.40964462, 11.43337993, 11.43553387, 11.44890154, 11.46698422, 11.470565, 11.48158715, 11.48419869, 11.49940906, 11.509048, 11.50925345, 11.51494907, 11.52056679, 11.52352268, 11.52987821, 11.54083244, 11.54627576, 11.54876144, 11.55030011, 11.55182117, 11.56293625, 11.56402237, 11.56811634, 11.56852664, 11.584783, 11.58631953, 11.58865542, 11.58894858, 11.5914397, 11.59187167, 11.60253219, 11.60899707, 11.60899794, 11.61265077, 11.62099651, 11.62277717, 11.63466822, 11.63489325, 11.64496955, 11.65659203, 11.65757592, 11.65803681, 11.65983284, 11.66226343, 11.66886651, 11.67006592, 11.67322925, 11.68490419, 11.69168613, 11.6930582, 11.69573629, 11.72400223, 11.72447386, 11.7259101, 11.73066139, 11.73136429, 11.73299146, 11.73310622, 11.73386169, 11.73509455, 11.73704064, 11.7397438, 11.7477317, 11.75234317, 11.7550237, 11.76117233, 11.7618838, 11.76432596, 11.76444759, 11.76581265, 11.77777204, 11.79297182, 11.79588668, 11.79779551, 11.80298578, 11.81058676, 11.81412829, 11.81857176, 11.82272175, 11.8229833, 11.83023109, 11.83211223, 11.83228622, 11.83547609, 11.85139874, 11.85189083, 11.85468192, 11.85766344, 11.86412636, 11.86648121, 11.8873453, 11.88749413, 11.88780042, 11.90375668, 11.90650776, 11.9078441, 11.91141556, 11.91221048, 11.91374515, 11.9171157, 11.91763618, 11.91867031, 11.91885971, 11.9192424, 11.92439492, 11.92884209, 11.93593497, 11.9363865, 11.93689516, 11.94234087, 11.94717532, 11.95642648, 11.95792306, 11.96502, 11.96598027, 11.96689808, 11.97175079, 11.975406135, 11.975406135, 11.975406135, 11.97906148, 11.98204499, 11.98441752, 12.00591637, 12.01102188, 12.01319469, 12.02011209, 12.02692534, 12.02694222, 12.03880824, 12.03950237, 12.03964784, 12.04533198, 12.05026723, 12.05534016, 12.06415663, 12.06881608, 12.07483017, 12.08409173, 12.08930957, 12.09396636, 12.09588949, 12.10454243, 12.11494496, 12.12540197, 12.13250911, 12.1351014, 12.13879388, 12.14474854, 12.14937549, 12.15858523, 12.16859647, 12.17052542, 12.17833133, 12.17857308, 12.19047429, 12.20729849, 12.21407375, 12.21525242, 12.21685469, 12.22248394, 12.22296745, 12.22772828, 12.22893471, 12.23565925, 12.23805735, 12.26371768, 12.26650384, 12.27605698, 12.27698171, 12.28446707, 12.29336584, 12.29651768, 12.30541781, 12.31984506, 12.32629139, 12.32914702, 12.35195897, 12.35460708, 12.35763811, 12.3643416, 12.37849022, 12.38069498, 12.38651626, 12.38718417, 12.39142299, 12.41554196, 12.4181132, 12.41880832, 12.41896198, 12.42413041, 12.42873693, 12.43312853, 12.44261655, 12.44304789, 12.44761745, 12.45120001, 12.46113544, 12.46114744, 12.47445545, 12.48070152, 12.48266992, 12.488067, 12.48901322, 12.49105874, 12.49432293, 12.50421981, 12.50654819, 12.50752537, 12.51766629, 12.52747174, 12.53035737, 12.54248105, 12.55610762, 12.57989417, 12.58154773, 12.58924056, 12.59419407, 12.59542035, 12.59567131, 12.6007504, 12.60888879, 12.62543264, 12.63660605, 12.63755716, 12.63857212, 12.64420212, 12.64519514, 12.65565115, 12.66419262, 12.66439052, 12.66780888, 12.67740144, 12.6853939, 12.69266143, 12.69578975, 12.70368793, 12.7107013, 12.7179951, 12.71803917, 12.72567737, 12.72590932, 12.72971951, 12.73221159, 12.75207661, 12.75916898, 12.76153128, 12.78217179, 12.78389178, 12.79518855, 12.80775183, 12.80988347, 12.81539265, 12.81711309, 12.8288934, 12.83280284, 12.84649907, 12.85499037, 12.8779837, 12.88412462, 12.89237451, 12.90266489, 12.91457009, 12.91484663, 12.93092854, 12.93155027, 12.94155573, 12.95326254, 12.95481145, 12.95627661, 12.95922609, 12.96030713, 12.96576148, 12.96832561, 12.96889313, 12.9882206, 12.98851015, 13.00436201, 13.00781942, 13.01337563, 13.01445915, 13.03253498, 13.03356618, 13.03951103, 13.04124459, 13.05221039, 13.05827793, 13.06789568, 13.06863858, 13.07869244, 13.08535689, 13.08550576, 13.10010954, 13.10450724, 13.10515852, 13.13002166, 13.14655143, 13.14872569, 13.14966956, 13.16002004, 13.1722875, 13.17777453, 13.18518117, 13.18681287, 13.18791099, 13.25273709, 13.26676035, 13.27147504, 13.27631301, 13.27895623, 13.28043224, 13.28303287, 13.29114305, 13.30029936, 13.32541219, 13.3254691, 13.33283928, 13.33897545, 13.34991294, 13.35063168, 13.37806333, 13.37856278, 13.38623528, 13.38749211, 13.39112018, 13.39445179, 13.4023319, 13.41075918, 13.41493474, 13.42054574, 13.44340599, 13.45212896, 13.45772494, 13.47157767, 13.48500899, 13.5162843, 13.53191346, 13.56615961, 13.58780608, 13.59251266, 13.66474788, 13.66576979, 13.67724584, 13.6851189, 13.71751367, 13.72245368, 13.72862718, 13.76153285, 13.80879868, 13.88727541, 13.89131342, 13.89808199, 13.90991551, 13.9194944, 13.97018107, 13.98959256, 14.03986726, 14.12178384, 14.13289346, 14.22097911, 14.28801459, 14.32565494, 14.42649105, 14.71538754, 15.12699429 ], "xaxis": "x", "y": [ 736.3427700603255, 727.784039898719, 693.1671048896116, 684.5393981783966, 677.6187282926059, 666.0205972324371, 664.8600131440653, 659.0969271467183, 659.0445180520161, 657.4663930152838, 655.9667753292422, 654.1112112972967, 652.3936288941421, 651.2092375173208, 649.6021644727629, 647.9210245935235, 642.9326248270921, 641.1267273643323, 639.8248838982951, 639.5364712748882, 638.5771274826396, 638.0533239684045, 635.3509877529177, 633.0655578363337, 630.9674176281347, 628.0799111203745, 627.9327733147958, 627.6475908375471, 626.2772486121278, 626.0543594447695, 624.1706985907176, 624.0204294773929, 623.0901350958381, 622.7368764602016, 622.6193517113965, 621.8162121455506, 620.5949064917446, 618.8859075368496, 618.3669460362815, 618.2176412653013, 617.7224447930834, 617.5240841140255, 617.3514331758578, 616.8264874101363, 616.6477709990387, 616.1884518018712, 615.4876078554499, 615.4435237866292, 613.6368377536196, 613.5259512062722, 610.7134662588276, 610.6068452567872, 610.2029642578075, 609.8612643737639, 609.2542560129571, 609.1129074670162, 609.0989407980011, 608.4189351944098, 606.7789628494432, 606.3078861553354, 606.0529193820427, 606.0306599031259, 605.7584642589587, 605.5213808271067, 605.2805661116344, 605.1826156425085, 604.82620486292, 604.7412807622405, 604.67920596538, 604.6467351428442, 604.131522556532, 604.0689498277794, 604.0230482007004, 603.974737053414, 603.9734740587865, 603.5214817263912, 603.2297887362278, 602.6528678565721, 602.3176982531257, 601.5375319398104, 601.1906855129382, 600.4174357514197, 599.1386435401191, 598.7058114345958, 598.6938840424391, 597.3650555528656, 597.3648204777234, 597.1581055486698, 596.7552204134743, 596.7287643090078, 595.8860071020425, 595.5498079763258, 594.9870717444536, 594.4958987969985, 594.2716499336474, 593.2324137172851, 593.1934024631801, 592.5457677751892, 592.4656920993169, 592.4437814932814, 592.3850116392152, 591.2791439080661, 591.1094212582034, 590.8851569012634, 590.7424214119835, 590.6059709771868, 590.5772378494115, 590.0266357689687, 588.8808250313328, 588.1763598591987, 588.1503910013906, 586.9466331726861, 586.8884456638584, 586.8520672513457, 585.5673965587058, 585.4493396852605, 585.0460709501737, 584.6599236993624, 584.4576842804587, 583.6860490577575, 583.6403012980442, 583.3507822186841, 583.0131432577216, 582.9506298320161, 582.5489521282326, 582.4508045165442, 582.4490970161934, 582.098362232765, 581.9458433434775, 581.5341273968614, 581.3271453369645, 580.0590586613431, 579.9439818995864, 579.2297985073702, 578.263710195588, 578.0724028393188, 577.483531594254, 577.3440070177116, 576.5313752244773, 576.0164035901859, 576.0054271838316, 575.7011320290009, 575.4009987727101, 575.2430768949844, 574.9035252771831, 574.3182827374947, 574.0274670050209, 573.8946666460679, 573.8124614031123, 573.7311969949869, 573.1373608560671, 573.0793336257454, 572.8606084939737, 572.8386877369661, 571.9701727055591, 571.8880817946044, 571.7632841414573, 571.7476217258485, 571.6145307285379, 571.5914522264553, 571.0219014867686, 570.6765077174227, 570.676461236656, 570.4813045249336, 570.0354236119731, 569.9402897704597, 569.3049965274329, 569.2929740366958, 568.7546359332724, 568.1336913563667, 568.0811258832688, 568.056502296388, 567.9605472946621, 567.8306901833415, 567.4779129174847, 567.4138330365138, 567.244828434358, 566.6210811206437, 566.2587480502576, 566.1854436070033, 566.0423635189355, 564.5322226407285, 564.5070252567962, 564.4302924562979, 564.1764492353325, 564.1388959813705, 564.0519625224872, 564.0458313353699, 564.0054694677208, 563.9396024814077, 563.8356303488104, 563.691210866694, 563.2644479739322, 563.018074799871, 562.8748643519516, 562.5463666084494, 562.508355492222, 562.3778802401297, 562.3713820152338, 562.2984520894217, 561.6595077020277, 560.8474416919197, 560.6917118898947, 560.5897304163421, 560.3124341758515, 559.9063429362737, 559.717132557125, 559.4797349794012, 559.2580169136602, 559.2440432992431, 558.8568216481798, 558.7563195452378, 558.74702392615, 558.5766013934776, 557.7259152088192, 557.6996247254758, 557.5505074803477, 557.3912162899188, 557.0459272358636, 556.9201166225586, 555.8054282309611, 555.7974768142772, 555.7811129130736, 554.928631074886, 554.7816514107667, 554.710255884519, 554.5194464601419, 554.4769769301384, 554.3949853918575, 554.2149098190288, 554.1871025667566, 554.1318529629444, 554.1217340465973, 554.101288386107, 553.826008983484, 553.5884137289361, 553.2094683256621, 553.1853448077202, 553.1581690527617, 552.8672256317448, 552.6089394905923, 552.1146854559897, 552.0347289204735, 551.6555666069548, 551.604263059961, 551.5552279880891, 551.2959662850966, 551.10067520656, 551.10067520656, 551.10067520656, 550.9053841280235, 550.7459866195189, 550.6192314315517, 549.4706302451259, 549.1978624066923, 549.0817774931328, 548.712207313938, 548.3482014702107, 548.3472996364835, 547.7133436504586, 547.676258943996, 547.6684870392387, 547.3648052168245, 547.1011337178696, 546.8301065040114, 546.3590762906704, 546.1101397290361, 545.7888299422674, 545.2940202755105, 545.0152510755497, 544.7664566275241, 544.6637111597595, 544.2014177277819, 543.6456504053516, 543.0869724252519, 542.7072651648127, 542.5687690420174, 542.3714939827071, 542.0533593131428, 541.8061591019904, 541.3141179792943, 540.779255782405, 540.6761993743388, 540.2591595100142, 540.2462437337371, 539.6104076808365, 538.7115551338088, 538.3495789502296, 538.286607127997, 538.2010039807136, 537.900254720698, 537.8744226338816, 537.6200697272672, 537.5556147945921, 537.196348386288, 537.0682270911877, 535.6972939723429, 535.5484401182264, 535.0380524492073, 534.9886476682482, 534.5887335622925, 534.1133063752695, 533.9449156397919, 533.4694157931795, 532.6986231011581, 532.3542203872413, 532.2016550171869, 530.9828999286735, 530.8414215571428, 530.6794852371027, 530.3213434496492, 529.565436891006, 529.4476450113574, 529.1366363241709, 529.1009524518511, 528.8744885395466, 527.5859043800513, 527.4485328781064, 527.4113952797369, 527.4031858146582, 527.1270564016916, 526.8809476871653, 526.6463213248106, 526.1394127678956, 526.1163679242992, 525.8722338409672, 525.6808313861176, 525.1500194270757, 525.1493783130516, 524.4383823260584, 524.1046787366805, 523.99951466626, 523.7111693598257, 523.6606164505016, 523.5513321539529, 523.3769389884246, 522.848186608185, 522.7237901855647, 522.6715832020585, 522.1297926996155, 521.6059250739779, 521.4517569188632, 520.8040351462174, 520.0760197189311, 518.8051954864268, 518.716852110952, 518.3058536777812, 518.0412066169863, 517.9756911748632, 517.9622833435724, 517.6909270245151, 517.2561240276294, 516.37224950699, 515.7752970196514, 515.7244828563624, 515.6702574322038, 515.3694681025617, 515.3164148485436, 514.7577902946126, 514.3014522776573, 514.2908792388764, 514.1082493609233, 513.5957556323351, 513.1687491162443, 512.7804728326112, 512.6133386806207, 512.1913691837126, 511.81667169510996, 511.4269919060258, 511.42463741477223, 511.01655765319634, 511.0041654533721, 510.8006015997469, 510.6674593133145, 509.6061474040556, 509.2272292481277, 509.10102060986594, 507.998277241061, 507.9063847652011, 507.30284162569455, 506.631633709299, 506.51774835110393, 506.2234139711612, 506.1314974535254, 505.5021206244176, 505.29325422355157, 504.5615171293553, 504.10785950328244, 502.8794139762947, 502.55132814855295, 502.11056813386, 501.5607925562466, 500.924743332933, 500.9099688602476, 500.05077402396597, 500.0175573721154, 499.4830039784811, 498.8575539727709, 498.7748016458481, 498.6965237605517, 498.5389443445672, 498.48118851918235, 498.18978349606806, 498.0527918541825, 498.02247143493594, 496.9898787626484, 496.9744092155085, 496.12750506933065, 495.9427888994908, 495.6459418868352, 495.5880535645521, 494.6223312220254, 494.5672381568874, 494.2496275980378, 494.157010129069, 493.57114944860894, 493.2469840331247, 492.7331444993474, 492.6934541986385, 492.1563149784403, 491.80025894861194, 491.7923053948812, 491.0120813813037, 490.77712911932014, 490.7423337241853, 489.4139914127467, 488.5308691325622, 488.41470675105825, 488.3642793932306, 487.8112929028799, 487.155889515702, 486.8627385253953, 486.4670301274378, 486.3798546480102, 486.32118630366443, 482.8577761505002, 482.1085670963621, 481.85667927317013, 481.5982050719039, 481.4569879543379, 481.37813039511144, 481.2391886980693, 480.80589285340193, 480.31670629089825, 478.9750239994032, 478.9719835161439, 478.57822303629627, 478.2503909828558, 477.66604279723094, 477.6276432727572, 476.1620753128144, 476.1353916128695, 475.725479333708, 475.6583317221317, 475.4644978423458, 475.2865026845254, 474.86549859848515, 474.4152613157309, 474.1921771428569, 473.89240291041955, 472.67106733795913, 472.2050324713893, 471.9060607000054, 471.1659624104115, 470.44837844255903, 468.7774584551256, 467.9424523167118, 466.1128117303309, 464.95632377288524, 464.70486923592125, 460.84561818790115, 460.7910214518701, 460.1779000688436, 459.7572726372925, 458.0265441910737, 457.76261838355595, 457.4327919312387, 455.6747680554437, 453.14953584928384, 448.95682483521495, 448.7410894318423, 448.37947066933145, 447.7472510337885, 447.23548764092595, 444.5274930599148, 443.49041152093514, 440.8044269186332, 436.42793789824634, 435.83439346620753, 431.12831467143076, 427.5468658097186, 425.53588612161985, 420.148599100195, 404.713966495742, 382.7233948423345 ], "yaxis": "y" } ], "layout": { "height": 600, "legend": { "tracegroupgap": 0 }, "margin": { "t": 60 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "width": 900, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 8.098557922172361, 15.536588543827639 ], "title": { "text": "Time on App" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -1361.984085658241, 26634.741006558244 ], "title": { "text": "Yearly Amount Spent" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "# Scatter plot of Length of Membership vs Yearly Amount Spent \n", "fig_with_outliers = px.scatter(customers, x=\"Time on App\", y=\"Yearly Amount Spent\", trendline=\"ols\")\n", "\n", "# Update the trendline color to red\n", "fig_with_outliers.update_traces(line=dict(color='green'))\n", "\n", "# Update the layout to resize the figure\n", "fig_with_outliers.update_layout(\n", " width=900, # Width in pixels (10 inches * 100 pixels per inch)\n", " height=600 # Height in pixels (6 inches * 100 pixels per inch)\n", ")\n", "fig_with_outliers.show() #plotting scatter plot with \"Avg. Session Length\",\"Time on App\"" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Time on Website=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "", "line": { "color": "orange" }, "marker": { "color": "#636efa", "symbol": "circle" }, "mode": "markers", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 37.15762409, 33.91384725, 37.95201319, 37.069366585, 37.63575588, 37.069366585, 37.4311591, 35.56543624, 35.90729843, 37.14209369, 37.32981863, 37.42676892, 36.9663889, 37.52319665, 37.069366585, 36.57513378, 37.7636904, 37.3741835, 34.47687763, 38.31564796, 37.79223754, 36.39368386, 36.22604169, 35.53914243, 35.72182733, 36.43064962, 36.83865679, 36.89729461, 37.069366585, 37.82739423, 37.99702801, 37.63529941, 36.77312349, 37.87095205, 38.7756653, 37.1905038, 36.51708576, 36.28872395, 37.5366533, 38.18776368, 37.19419105, 37.05891282, 36.15719115, 36.95964319, 38.00182747, 37.33544589, 37.83397173, 35.9990993, 37.76668677, 35.96566746, 37.67502073, 37.14286198, 36.04545942, 36.98504142, 35.69417499, 39.57766802, 35.62658733, 37.32784804, 37.29204471, 35.94639915, 37.53453024, 35.42933439, 36.08964366, 36.76860309, 36.72128268, 39.67259096, 37.02715036, 35.03785616, 38.26035344, 34.64980005, 36.08693433, 37.67321037, 36.53409567, 35.00748226, 37.95780983, 36.63610412, 36.3602472, 36.45689841, 36.4179848, 36.1446667, 38.94882503, 36.09722093, 37.54052036, 37.02347924, 37.74560774, 38.16643556, 37.53449734, 35.4598628, 37.34126616, 37.30536188, 36.90022076, 36.46200326, 36.32365247, 36.77601658, 37.6504002, 37.64583879, 37.28139283, 38.41946853, 37.22939452, 35.90025278, 35.77311639, 37.24032955, 38.38195597, 38.85604171, 37.38718053, 37.02226899, 38.40137369, 37.39649748, 37.71777057, 36.81385766, 37.27781174, 37.97982686, 37.48704925, 35.35844431, 37.24503247, 38.33257633, 35.76932963, 38.95246252, 37.65861691, 37.37335886, 39.13109673, 37.1280395, 38.50300885, 36.05964598, 36.71413784, 36.04620352, 37.27122169, 36.88808605, 37.95194632, 36.95161668, 37.07361617, 36.88214908, 36.33780003, 35.89243163, 36.72527683, 38.63362565, 37.67232248, 36.59911235, 37.33310742, 37.80697767, 37.09326487, 36.37827101, 38.65509454, 36.60077705, 35.78392374, 38.57360523, 36.86218335, 36.37147981, 38.91874854, 35.67425603, 37.96439033, 36.18253928, 38.3113649, 38.76429717, 37.33359061, 36.29889308, 37.03153922, 37.03427958, 37.60779252, 36.15725594, 38.19748325, 37.10881638, 35.57484167, 37.53429101, 37.6269068, 38.57651555, 36.88119241, 37.90601452, 37.23984661, 37.7446997, 35.29308775, 36.59436168, 34.89198327, 37.19026771, 36.22355746, 37.30596142, 35.62253059, 38.30447119, 35.55077227, 35.4442647, 39.22071295, 36.09424195, 37.19279353, 38.46832111, 37.08792607, 38.768641, 36.68377615, 37.76304108, 36.80837606, 38.06341359, 39.25293095, 37.7436197, 36.77260376, 36.84473382, 35.99048895, 37.95968432, 36.63465233, 36.05024078, 36.35523488, 37.57016384, 37.38794554, 36.6338567, 36.65520808, 37.66110668, 35.63395395, 39.09462703, 37.25803146, 35.18912244, 37.55088041, 37.63731096, 37.96597162, 36.97937237, 36.81293413, 37.68487728, 38.61733445, 35.12882235, 37.05261631, 35.36862633, 39.07440021, 36.49399255, 38.3099079, 36.40774745, 37.06168877, 36.51734612, 36.54759628, 36.51838359, 38.44276669, 35.49396408, 36.1050005, 36.67822227, 37.23880567, 36.19975347, 37.26387556, 37.31770495, 35.26149812, 38.58585476, 38.42286529, 36.84149164, 37.37011822, 37.49669015, 37.63300942, 35.96889569, 36.77386137, 37.81915511, 36.83153585, 35.86244708, 38.92408705, 35.77101619, 36.16364817, 35.84582711, 35.53602453, 35.73870747, 36.81401056, 38.13171203, 35.89035796, 36.54966799, 36.57503098, 36.07455114, 36.15246209, 37.67924462, 36.7290294, 37.07679516, 37.71598618, 37.22580613, 37.0716432, 36.2620318, 37.86144726, 38.87804051, 37.0443614, 36.94612578, 36.93615938, 38.0669296, 39.60037647, 38.21257083, 35.82346667, 36.68836654, 36.87502581, 36.16604163, 37.11059744, 37.15192066, 35.63211222, 37.85177917, 36.66579137, 35.77778217, 37.0646212, 37.86921694, 38.23894085, 37.68546549, 35.25224202, 36.01231723, 37.40874848, 36.1553362, 36.67387836, 36.10091445, 37.92270381, 36.58272777, 37.33866962, 36.54860515, 37.19842782, 36.70105232, 36.82275323, 36.90818962, 38.23260623, 38.73086174, 38.26906069, 37.68028761, 36.14579171, 37.72236711, 37.38831487, 37.1531516, 37.45837473, 37.33224075, 36.91463331, 37.07437107, 37.78903635, 36.61119878, 37.64780806, 36.1891318, 36.98591348, 36.81909551, 37.64629179, 35.97765171, 36.62077386, 36.61995708, 38.86023443, 36.37506611, 38.03910939, 37.7773658, 37.14600653, 36.99529017, 35.90772143, 38.55103029, 37.27757338, 36.58443762, 38.83567008, 35.7305524, 37.33281446, 38.7170763, 37.23200331, 35.88399439, 36.8745436, 37.6056528, 37.97738874, 36.21376309, 37.49189221, 36.683393, 38.2747022, 37.32533422, 34.48718475, 36.65127792, 34.89409275, 36.84008573, 36.17312563, 37.41413357, 38.24411459, 37.25305774, 34.81063145, 39.08156475, 40.00518164, 35.9334493, 37.8752191, 36.59937399, 36.94795369, 36.11243501, 35.62244242, 38.11045691, 36.31272657, 35.66993517, 39.24096484, 35.92159519, 36.2650007, 37.68387537, 36.04898625, 36.16646339, 36.62883429, 35.93804523, 37.03951365, 39.2488039, 36.37750903, 37.84065508, 37.26687826, 37.02687697, 37.069366585, 37.36839124, 37.42899737, 37.32728269, 36.87831537, 37.72438616, 36.9539597, 35.7661535, 36.83936583, 36.36684325, 38.73400629, 37.95148946, 36.30854529, 37.90913872, 36.49440648, 36.19083324, 36.32214092, 39.06886445, 37.52642103, 37.08831936, 36.67395274, 37.14516822, 38.30720401, 36.13389429, 36.54550623, 38.41504158, 36.59928909, 37.27863979, 37.93518905, 36.95155521, 35.45679815, 36.87631323, 37.73852495, 37.30968877, 38.04031367, 37.57883524, 36.9711951, 37.12234521, 37.58019043, 37.44102134, 38.04345265, 38.00658318, 36.5944567, 34.57402759, 37.69230086, 38.25297827, 35.5338635, 35.56917032, 37.34573893, 38.07445242, 38.50588333, 37.68933698, 38.68258378, 37.42021558, 37.68040323, 37.19936753, 37.42527868, 37.42454792, 38.38513659, 35.9389625, 36.1704942, 36.60950715, 37.83544773, 35.97457811, 38.1265198, 39.0451557, 36.85388246, 36.90937821, 37.21115258, 34.84561239, 37.18144731, 34.89782769, 38.6887091, 36.92976156, 37.26895887, 37.38531755, 34.7797505, 36.25781912, 38.35495987, 36.95696543, 38.29572526, 37.4534051, 36.91495155, 35.71626916, 37.03479129, 37.71250864, 36.85481082, 37.06708997, 37.37276215, 35.67572763, 37.48091198, 38.29611037, 36.5446641, 36.0586476, 38.07066426, 35.01280603, 35.74277913, 37.10203133, 39.29404346, 36.76572236, 37.78114256, 36.59586795, 37.13312676, 36.31576315, 37.80550943, 35.90675637, 36.35250277, 35.46240008, 36.93988205, 35.97656497, 38.79123469, 36.92504304, 36.14390846 ], "xaxis": "x", "y": [ 765.5184619, 744.2218671, 712.3963268, 708.9351849, 700.9170916, 689.2356998, 684.163431, 669.9871405, 666.1255917, 663.8036933, 663.0748176, 662.9610878, 657.0199239, 647.6194557, 642.1015787, 640.7861664, 640.5840619, 640.18774, 637.1024479, 632.1235881, 630.4227632, 630.1567282, 628.0478039, 627.6033187, 626.0186727, 619.8956399, 618.8459704, 616.660286, 614.7296376, 614.7153338, 613.5993234, 612.3852299, 611.0000251, 610.1280331, 608.2718166, 605.0610388, 604.8413188, 604.3348401, 599.406092, 597.7398789, 596.516698, 596.4301726, 595.8228367, 595.8038189, 594.2744834, 593.915003, 593.1564015, 593.0772413, 592.6884532, 591.7810894, 591.4377356, 591.1971782, 590.5627196, 589.0264898, 588.7126055, 587.951054, 587.5747995, 586.1558702, 585.9318443, 584.2183135, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 581.3089329, 578.9862586, 578.2416051, 577.7360249, 577.273455, 576.8025474, 576.4776072, 576.3111774, 576.0252441, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 573.3062223, 571.4710341, 571.3074949, 571.2160048, 570.6300981, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.8746577, 561.516532, 560.5601606, 560.4437922, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.6082621, 557.5292736, 557.2526867, 556.2981412, 556.1863689, 555.8925954, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.6201455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.8605905, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.3401663, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 538.7749335, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452, 499.1401524, 498.6355985, 497.81193, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.9334463, 496.6507081, 496.5540816, 495.2994425, 495.1759504, 494.6871558, 494.6386098, 494.5518611, 493.719193, 493.1812614, 493.1802162, 492.9450531, 492.6060127, 492.5568337, 492.1050524, 491.9115051, 491.0732237, 490.7386321, 490.6004425, 490.2066, 489.9080531, 489.812488, 488.7860611, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.5475049, 487.379306, 486.9470538, 486.8389348, 486.1637991, 486.0834255, 485.9231305, 484.8769649, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.8853913, 478.7193569, 478.6009159, 478.584286, 478.2621264, 478.1830597, 478.1703341, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.7250679, 475.2634237, 475.0716299, 475.0154071, 474.5323294, 473.9498574, 473.7289665, 473.3604956, 472.9922467, 471.6028844, 470.4527333, 469.3831462, 469.3108615, 468.9135013, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 465.1766233, 463.923513, 463.7459811, 463.591418, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.4418601, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409, 25006.67058 ], "yaxis": "y" }, { "hovertemplate": "OLS trendline
Yearly Amount Spent = -46.1159 * Time on Website + 2256.84
R2=0.001760

Time on Website=%{x}
Yearly Amount Spent=%{y} (trend)", "legendgroup": "", "line": { "color": "orange" }, "marker": { "color": "#636efa", "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scatter", "x": [ 33.91384725, 34.47687763, 34.48718475, 34.57402759, 34.64980005, 34.7797505, 34.81063145, 34.84561239, 34.89198327, 34.89409275, 34.89782769, 35.00748226, 35.01280603, 35.03785616, 35.12882235, 35.18912244, 35.25224202, 35.26149812, 35.29308775, 35.35844431, 35.36862633, 35.42933439, 35.4442647, 35.45679815, 35.4598628, 35.46240008, 35.49396408, 35.5338635, 35.53602453, 35.53914243, 35.55077227, 35.56543624, 35.56917032, 35.57484167, 35.62244242, 35.62253059, 35.62658733, 35.63211222, 35.63395395, 35.66993517, 35.67425603, 35.67572763, 35.69417499, 35.71626916, 35.72182733, 35.7305524, 35.73870747, 35.74277913, 35.7661535, 35.76932963, 35.77101619, 35.77311639, 35.77778217, 35.78392374, 35.82346667, 35.84582711, 35.86244708, 35.88399439, 35.89035796, 35.89243163, 35.90025278, 35.90675637, 35.90729843, 35.90772143, 35.92159519, 35.9334493, 35.93804523, 35.9389625, 35.94639915, 35.96566746, 35.96889569, 35.97457811, 35.97656497, 35.97765171, 35.99048895, 35.9990993, 36.01231723, 36.04545942, 36.04620352, 36.04898625, 36.05024078, 36.0586476, 36.05964598, 36.07455114, 36.08693433, 36.08964366, 36.09424195, 36.09722093, 36.10091445, 36.1050005, 36.11243501, 36.13389429, 36.14390846, 36.1446667, 36.14579171, 36.15246209, 36.1553362, 36.15719115, 36.15725594, 36.16364817, 36.16604163, 36.16646339, 36.1704942, 36.17312563, 36.18253928, 36.1891318, 36.19083324, 36.19975347, 36.21376309, 36.22355746, 36.22604169, 36.25781912, 36.2620318, 36.2650007, 36.28872395, 36.29889308, 36.30854529, 36.31272657, 36.31576315, 36.32214092, 36.32365247, 36.33780003, 36.35250277, 36.35523488, 36.3602472, 36.36684325, 36.37147981, 36.37506611, 36.37750903, 36.37827101, 36.39368386, 36.40774745, 36.4179848, 36.43064962, 36.45689841, 36.46200326, 36.49399255, 36.49440648, 36.51708576, 36.51734612, 36.51838359, 36.53409567, 36.5446641, 36.54550623, 36.54759628, 36.54860515, 36.54966799, 36.57503098, 36.57513378, 36.58272777, 36.58443762, 36.59436168, 36.5944567, 36.59586795, 36.59911235, 36.59928909, 36.59937399, 36.60077705, 36.60950715, 36.61119878, 36.61995708, 36.62077386, 36.62883429, 36.6338567, 36.63465233, 36.63610412, 36.65127792, 36.65520808, 36.66579137, 36.67387836, 36.67395274, 36.67822227, 36.683393, 36.68377615, 36.68836654, 36.70105232, 36.71413784, 36.72128268, 36.72527683, 36.7290294, 36.76572236, 36.76860309, 36.77260376, 36.77312349, 36.77386137, 36.77601658, 36.80837606, 36.81293413, 36.81385766, 36.81401056, 36.81909551, 36.82275323, 36.83153585, 36.83865679, 36.83936583, 36.84008573, 36.84149164, 36.84473382, 36.85388246, 36.85481082, 36.86218335, 36.8745436, 36.87502581, 36.87631323, 36.87831537, 36.88119241, 36.88214908, 36.88808605, 36.89729461, 36.90022076, 36.90818962, 36.90937821, 36.91463331, 36.91495155, 36.92504304, 36.92976156, 36.93615938, 36.93988205, 36.94612578, 36.94795369, 36.95155521, 36.95161668, 36.9539597, 36.95696543, 36.95964319, 36.9663889, 36.9711951, 36.97937237, 36.98504142, 36.98591348, 36.99529017, 37.02226899, 37.02347924, 37.02687697, 37.02715036, 37.03153922, 37.03427958, 37.03479129, 37.03951365, 37.0443614, 37.05261631, 37.05891282, 37.06168877, 37.0646212, 37.06708997, 37.069366585, 37.069366585, 37.069366585, 37.069366585, 37.069366585, 37.0716432, 37.07361617, 37.07437107, 37.07679516, 37.08792607, 37.08831936, 37.09326487, 37.10203133, 37.10881638, 37.11059744, 37.12234521, 37.1280395, 37.13312676, 37.14209369, 37.14286198, 37.14516822, 37.14600653, 37.15192066, 37.1531516, 37.15762409, 37.18144731, 37.19026771, 37.1905038, 37.19279353, 37.19419105, 37.19842782, 37.19936753, 37.21115258, 37.22580613, 37.22939452, 37.23200331, 37.23880567, 37.23984661, 37.24032955, 37.24503247, 37.25305774, 37.25803146, 37.26387556, 37.26687826, 37.26895887, 37.27122169, 37.27757338, 37.27781174, 37.27863979, 37.28139283, 37.29204471, 37.30536188, 37.30596142, 37.30968877, 37.31770495, 37.32533422, 37.32728269, 37.32784804, 37.32981863, 37.33224075, 37.33281446, 37.33310742, 37.33359061, 37.33544589, 37.33866962, 37.34126616, 37.34573893, 37.36839124, 37.37011822, 37.37276215, 37.37335886, 37.3741835, 37.38531755, 37.38718053, 37.38794554, 37.38831487, 37.39649748, 37.40874848, 37.41413357, 37.42021558, 37.42454792, 37.42527868, 37.42676892, 37.42899737, 37.4311591, 37.44102134, 37.4534051, 37.45837473, 37.48091198, 37.48704925, 37.49189221, 37.49669015, 37.52319665, 37.52642103, 37.53429101, 37.53449734, 37.53453024, 37.5366533, 37.54052036, 37.55088041, 37.57016384, 37.57883524, 37.58019043, 37.6056528, 37.60779252, 37.6269068, 37.63300942, 37.63529941, 37.63575588, 37.63731096, 37.64583879, 37.64629179, 37.64780806, 37.6504002, 37.65861691, 37.66110668, 37.67232248, 37.67321037, 37.67502073, 37.67924462, 37.68028761, 37.68040323, 37.68387537, 37.68487728, 37.68546549, 37.68933698, 37.69230086, 37.71250864, 37.71598618, 37.71777057, 37.72236711, 37.72438616, 37.73852495, 37.7436197, 37.7446997, 37.74560774, 37.76304108, 37.7636904, 37.76668677, 37.7773658, 37.78114256, 37.78903635, 37.79223754, 37.80550943, 37.80697767, 37.81915511, 37.82739423, 37.83397173, 37.83544773, 37.84065508, 37.85177917, 37.86144726, 37.86921694, 37.87095205, 37.8752191, 37.90601452, 37.90913872, 37.92270381, 37.93518905, 37.95148946, 37.95194632, 37.95201319, 37.95780983, 37.95968432, 37.96439033, 37.96597162, 37.97738874, 37.97982686, 37.99702801, 38.00182747, 38.00658318, 38.03910939, 38.04031367, 38.04345265, 38.06341359, 38.0669296, 38.07066426, 38.07445242, 38.11045691, 38.1265198, 38.13171203, 38.16643556, 38.18776368, 38.19748325, 38.21257083, 38.23260623, 38.23894085, 38.24411459, 38.25297827, 38.26035344, 38.26906069, 38.2747022, 38.29572526, 38.29611037, 38.30447119, 38.30720401, 38.3099079, 38.3113649, 38.31564796, 38.33257633, 38.35495987, 38.38195597, 38.38513659, 38.40137369, 38.41504158, 38.41946853, 38.42286529, 38.44276669, 38.46832111, 38.50300885, 38.50588333, 38.55103029, 38.57360523, 38.57651555, 38.58585476, 38.61733445, 38.63362565, 38.65509454, 38.68258378, 38.6887091, 38.7170763, 38.73086174, 38.73400629, 38.76429717, 38.768641, 38.7756653, 38.79123469, 38.83567008, 38.85604171, 38.86023443, 38.87804051, 38.91874854, 38.92408705, 38.94882503, 38.95246252, 39.0451557, 39.06886445, 39.07440021, 39.08156475, 39.09462703, 39.13109673, 39.22071295, 39.24096484, 39.2488039, 39.25293095, 39.29404346, 39.57766802, 39.60037647, 39.67259096, 40.00518164 ], "xaxis": "x", "y": [ 692.8769548232775, 666.9123222548687, 666.437000508219, 662.4321678883571, 658.9378554096867, 652.9450780992521, 651.5209764013766, 649.9078001212663, 647.7693669143872, 647.6720864210852, 647.4998464350917, 642.4430311714162, 642.1975209168388, 641.0423125225053, 636.8473280538196, 634.0665372895771, 631.155723307262, 630.728870256248, 629.2720871677014, 626.2581129193929, 625.7885602673601, 622.9889556139824, 622.3004314649261, 621.7224405862376, 621.581111602887, 621.4641027428621, 620.0085016039162, 618.1685053678468, 618.0688476017433, 617.925062948622, 617.3887428260213, 616.7125011762474, 616.5403008498972, 616.2787616432263, 614.0836119183913, 614.0795458826411, 613.8924658115344, 613.6376807343403, 613.5527477636894, 611.8934427068945, 611.6941825137242, 611.6263184079053, 610.7756024585151, 609.7567107142471, 609.5003909010911, 609.0980267574661, 608.7219486564591, 608.5341805366579, 607.456251262987, 607.309781283091, 607.2320041110945, 607.1351515730126, 606.9199850959477, 606.6367612875929, 604.8132048959673, 603.7820338805276, 603.0155896002954, 602.0219167775473, 601.7284552473303, 601.6328261631271, 601.2721470715077, 600.9722283979798, 600.9472308326086, 600.9277238220338, 600.2879233893428, 599.7412608618687, 599.5293155779212, 599.4870148791275, 599.1440673373097, 598.2554925691699, 598.1066199527468, 597.8445702434584, 597.75294447743, 597.702828523123, 597.1108281060365, 596.7137543743573, 596.104198108912, 594.5758173741773, 594.5415025595946, 594.4131745606915, 594.3553208255232, 593.9676330556933, 593.9215918991512, 593.2342275640805, 592.6631660551529, 592.5382229606851, 592.3261688432982, 592.1887906060373, 592.0184607391409, 591.8300290120532, 591.4871801581849, 590.4975669149658, 590.0357548107459, 590.0007879178426, 589.9489071094115, 589.6412967708864, 589.5087547043087, 589.4232120819322, 589.4202242350881, 589.125441024202, 589.0150645477725, 588.9956147208698, 588.8097304341229, 588.6883797654796, 588.2542611600544, 587.9502414027194, 587.8717780266626, 587.4604139109722, 586.8143481769649, 586.3626723397052, 586.2481099262784, 584.7826662784272, 584.5883948994506, 584.4514815101014, 583.3574633337138, 582.8885051151708, 582.443385109172, 582.2505617683324, 582.1105272572913, 581.8164108818023, 581.7467044472069, 581.0942774908863, 580.4162479290552, 580.2902543152002, 580.0591068465405, 579.7549243002047, 579.5411053286934, 579.3757200047609, 579.263062637686, 579.2279232714505, 578.5171463732623, 577.8685917660621, 577.3964875232606, 576.8124384034867, 575.6019527673201, 575.3665381977423, 573.8913244428926, 573.8722357032068, 572.8263611056121, 572.8143543791981, 572.7665105535225, 572.0419344052773, 571.5545621221423, 571.5157265693879, 571.4193421073281, 571.3728171953699, 571.3238034102184, 570.154167206598, 570.1494264957538, 569.7992230838561, 569.720371873381, 569.2627152696881, 569.2583333402677, 569.1932523268557, 569.0436340169078, 569.0354834990616, 569.0315682621875, 568.9668649377036, 568.5642688312812, 568.4862578518528, 568.082361278059, 568.0446947624631, 567.6729810668479, 567.4413682891183, 567.4046771240512, 567.3377265735029, 566.637973672662, 566.4567309476512, 565.9686733827735, 565.595734849804, 565.592304751822, 565.3954116859632, 565.1569590032491, 565.1392897098648, 564.9275999078053, 564.3425841995165, 563.7391341356558, 563.4096436641823, 563.2254499850188, 563.0523969763387, 561.3602694143282, 561.2274220607293, 561.0429277061305, 561.0189599080078, 560.9849319341009, 560.8855425623271, 559.3932571756934, 559.183057838366, 559.1404684542626, 559.1334173386198, 558.8989204747406, 558.7302415557841, 558.3252234441716, 557.9968351418535, 557.9641371494713, 557.9309383388031, 557.8661035841061, 557.7165876513767, 557.2946902111345, 557.2518780874066, 556.9118874948035, 556.3418838838018, 556.3196463529058, 556.2602758669626, 556.1679454505284, 556.0352682644688, 555.991150600624, 555.717362098093, 555.292701395265, 555.1577594591122, 554.7902685931858, 554.7354557381061, 554.4931122599261, 554.4784363472896, 554.0130585644464, 553.7954599367013, 553.5004189381343, 553.3287447937951, 553.040809788749, 552.956514139342, 552.7904269319556, 552.7875921897806, 552.6795417975436, 552.5409299609145, 552.4174427442806, 552.1063584977024, 551.8847164309805, 551.5076145577874, 551.2461814176041, 551.205965617033, 550.7735514539504, 549.529399853411, 549.4735881287116, 549.3168988732996, 549.3042912571742, 549.1018951852355, 548.9755211155001, 548.9519231666087, 548.7341474539451, 548.5105892730643, 548.1299069641714, 547.8395379638104, 547.7115226304668, 547.5762910866868, 547.4624416245211, 547.3574535562491, 547.3574535562491, 547.3574535562491, 547.3574535562491, 547.3574535562491, 547.2524654879769, 547.1614802713025, 547.126667405386, 547.0148784000345, 546.5015668655806, 546.4834299573328, 546.2553634895636, 545.8510906103172, 545.5381921656397, 545.4560570444722, 544.9142984780017, 544.6517013734049, 544.4170979818791, 544.0035802553283, 543.9681498979897, 543.8617956472393, 543.8231362570863, 543.5504010408946, 543.493635178964, 543.2873824372988, 542.1887540579626, 541.7819936889993, 541.7711061946103, 541.6655133167785, 541.6010654741826, 541.4056831640365, 541.3623476252492, 540.81886985936, 540.1431087368909, 539.9776270308024, 539.8573204253254, 539.5436237150379, 539.4956198673133, 539.4733486718362, 539.2564694515735, 538.886377189745, 538.6570097934456, 538.3875040712265, 538.2490319656662, 538.1530828373649, 538.04873093744, 537.7558172636903, 537.7448250862897, 537.7066388449036, 537.5796800260097, 537.0884593740038, 536.4743265701912, 536.4466782649432, 536.2747882983596, 535.9051152297372, 535.5532848501488, 535.4634294721486, 535.437357868299, 535.3464824073818, 535.2347842502832, 535.2083271178084, 535.1948170142201, 535.1725342897766, 535.086976449165, 534.9383113541312, 534.8185696679911, 534.6123040138838, 533.5676731611478, 533.4880319859185, 533.3661048689722, 533.33858707162, 533.3005580853313, 532.7871017470635, 532.7011888142973, 532.6659097169935, 532.6488777448526, 532.2715296129444, 531.7065641601112, 531.4582260807384, 531.1777489332577, 530.9779593299656, 530.9442597010121, 530.8755359954835, 530.7727690978127, 530.6730790506037, 530.2182733296382, 529.6471855346682, 529.4180067522532, 528.378681990857, 528.0956564807184, 527.8723191948269, 527.651058045144, 526.4286878896036, 526.2799928192578, 525.9170618899878, 525.9075468037186, 525.9060295917849, 525.8081228450467, 525.6297900310694, 525.1520273717255, 524.2627553317182, 523.862866226527, 523.8003704684642, 522.6261512702553, 522.5274762332187, 521.646004691648, 521.3645770962053, 521.2589722282488, 521.2379217196983, 521.1662078615321, 520.7729396109702, 520.7520491244684, 520.6821250229934, 520.5625862466563, 520.1836655637775, 520.0688476684626, 519.5516213582932, 519.510675543591, 519.4271892276012, 519.2324008897865, 519.1843025045404, 519.1789705883165, 519.018849851446, 518.9726459059029, 518.9455200933971, 518.7669829861413, 518.6303010984306, 517.6984018593109, 517.5380320967736, 517.4557434097783, 517.2437699951536, 517.1506597594549, 516.4986372392638, 516.2636884399147, 516.2138833065333, 516.1720082571667, 515.3680547164354, 515.3381107634655, 515.1999305713257, 514.7074578736056, 514.5332893221695, 514.1692603741716, 514.0216347307176, 513.409590053238, 513.3418808967227, 512.7803077268634, 512.4003535874665, 512.0970264904124, 512.0289594747908, 511.7888180291284, 511.27582100486836, 510.8299686789454, 510.4716631708587, 510.39164707365313, 510.1948683751376, 508.77471096713106, 508.63063578406496, 508.00506993518945, 507.4293023023162, 506.6775948076613, 506.6565263139235, 506.6534425460814, 506.38612548277956, 506.2996817564159, 506.0826600381327, 506.009737483165, 505.48322712720596, 505.37079111627935, 504.5775452180668, 504.3562139722701, 504.13690029553413, 502.63692601085535, 502.5813895978654, 502.4366328223261, 501.5161168231358, 501.3539729833011, 501.18174590974974, 501.0070516374614, 499.3466734645055, 498.6059194099257, 498.3664752361303, 496.7651696406348, 495.78160495416955, 495.3333785835556, 494.6376017925297, 493.71365200608795, 493.42152553014114, 493.1829340386756, 492.77417777510794, 492.4340654366234, 492.03252307769907, 491.7723599684172, 490.8028633874982, 490.78510370701963, 490.3995372669448, 490.273510910826, 490.14881868665975, 490.0816278724585, 489.88411085895666, 489.103444446192, 488.07120815428834, 486.82625967161505, 486.67958263148836, 485.9307947321987, 485.30048817247905, 485.09633554727117, 484.93969102424757, 484.0219207636144, 482.843456600102, 481.2438014913873, 481.1112423619398, 479.02925128362426, 477.98818841530476, 477.85397649328263, 477.423290752792, 475.97157764235993, 475.2202948748148, 474.2302384581404, 472.9625483981744, 472.68007397261357, 471.37189602847724, 470.73616854891594, 470.5911549080125, 469.1942647981508, 468.99394532357877, 468.6700136583812, 467.95201778280455, 465.902841370008, 464.96338604653226, 464.77003514020606, 463.9488923722373, 462.07160638718284, 461.8254163847666, 460.68460305745594, 460.5168570624332, 456.24223095735954, 455.1488814610034, 454.89359510436503, 454.5631961503661, 453.9608178191903, 452.27898608503017, 448.1462566495961, 447.21232323970486, 446.850818212957, 446.66049573543546, 444.76455680561253, 431.68496510085106, 430.63774530349633, 427.3075116863244, 411.9698050391673 ], "yaxis": "y" } ], "layout": { "height": 600, "legend": { "tracegroupgap": 0 }, "margin": { "t": 60 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "width": 900, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 33.53689679230448, 40.382132097695525 ], "title": { "text": "Time on Website" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ -1361.984085658241, 26634.741006558244 ], "title": { "text": "Yearly Amount Spent" }, "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "# Scatter plot of Length of Membership vs Yearly Amount Spent \n", "fig_with_outliers = px.scatter(customers, x=\"Time on Website\", y=\"Yearly Amount Spent\", trendline=\"ols\")\n", "\n", "# Update the trendline color to red\n", "fig_with_outliers.update_traces(line=dict(color='orange'))\n", "\n", "# Update the layout to resize the figure\n", "fig_with_outliers.update_layout(\n", " width=900, # Width in pixels (10 inches * 100 pixels per inch)\n", " height=600 # Height in pixels (6 inches * 100 pixels per inch)\n", ")\n", "fig_with_outliers.show() #plotting scatter plot with \"Avg. Session Length\",\"Time on App\"" ] }, { "cell_type": "code", "execution_count": 100, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Gender=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "Female", "marker": { "color": "#636efa" }, "name": "Female", "notched": false, "offsetgroup": "Female", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female", "Female" ], "x0": " ", "xaxis": "x", "y": [ 765.5184619, 712.3963268, 708.9351849, 689.2356998, 669.9871405, 666.1255917, 663.0748176, 662.9610878, 657.0199239, 642.1015787, 640.7861664, 640.5840619, 640.18774, 632.1235881, 630.4227632, 630.1567282, 627.6033187, 626.0186727, 619.8956399, 616.660286, 614.7296376, 614.7153338, 613.5993234, 612.3852299, 611.0000251, 610.1280331, 608.2718166, 605.0610388, 604.8413188, 604.3348401, 599.406092, 597.7398789, 596.516698, 596.4301726, 595.8228367, 595.8038189, 594.2744834, 593.915003, 593.1564015, 593.0772413, 592.6884532, 591.7810894, 591.4377356, 591.1971782, 590.5627196, 589.0264898, 588.7126055, 587.951054, 587.5747995, 586.1558702, 585.9318443, 584.2183135, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 581.3089329, 578.9862586, 578.2416051, 577.7360249, 577.273455, 576.8025474, 576.4776072, 576.3111774, 576.0252441, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 573.3062223, 571.4710341, 571.3074949, 571.2160048, 570.6300981, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.8746577, 561.516532, 560.5601606, 560.4437922, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.6082621, 557.5292736, 557.2526867, 556.2981412, 556.1863689, 555.8925954, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.6201455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.8605905, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.3401663, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 538.7749335, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Gender=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "Male", "marker": { "color": "#EF553B" }, "name": "Male", "notched": false, "offsetgroup": "Male", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male", "Male" ], "x0": " ", "xaxis": "x", "y": [ 744.2218671, 700.9170916, 684.163431, 663.8036933, 647.6194557, 637.1024479, 628.0478039, 618.8459704, 499.1401524, 498.6355985, 497.81193, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.9334463, 496.6507081, 496.5540816, 495.2994425, 495.1759504, 494.6871558, 494.6386098, 494.5518611, 493.719193, 493.1812614, 493.1802162, 492.9450531, 492.6060127, 492.5568337, 492.1050524, 491.9115051, 491.0732237, 490.7386321, 490.6004425, 490.2066, 489.9080531, 489.812488, 488.7860611, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.5475049, 487.379306, 486.9470538, 486.8389348, 486.1637991, 486.0834255, 485.9231305, 484.8769649, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.8853913, 478.7193569, 478.6009159, 478.584286, 478.2621264, 478.1830597, 478.1703341, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.7250679, 475.2634237, 475.0716299, 475.0154071, 474.5323294, 473.9498574, 473.7289665, 473.3604956, 472.9922467, 471.6028844, 470.4527333, 469.3831462, 469.3108615, 468.9135013, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 465.1766233, 463.923513, 463.7459811, 463.591418, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.4418601, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409, 25006.67058 ], "y0": " ", "yaxis": "y" } ], "layout": { "autosize": true, "boxmode": "overlay", "legend": { "title": { "text": "Gender" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Box Plot of Gender vs Yearly Amount Spent (Log Scale)" }, "xaxis": { "anchor": "y", "autorange": true, "categoryarray": [ "Female", "Male" ], "categoryorder": "array", "domain": [ 0, 1 ], "range": [ -0.5, 1.5 ], "title": { "text": "Gender" }, "type": "category" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 2.315409620687144, 4.507668833709598 ], "showgrid": true, "tickformat": ".2f", "ticks": "outside", "tickvals": [ 10, 100, 1000, 10000, 100000 ], "title": { "text": "Yearly Amount Spent" }, "type": "log" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "\n", "# Assuming 'customers' dataframe contains 'Gender' and 'Yearly Amount Spent' columns\n", "fig = px.box(customers, x='Gender', y='Yearly Amount Spent', \n", " title='Box Plot of Gender vs Yearly Amount Spent (Log Scale)',\n", " labels={'Gender': 'Gender', 'Yearly Amount Spent': 'Yearly Amount Spent'},\n", " color='Gender') # This will assign separate colors for each Gender\n", "\n", "# Update layout to use a logarithmic scale for the y-axis and refine tick formatting\n", "fig.update_layout(\n", " yaxis_type=\"log\",\n", " yaxis_tickformat='.2f', # Format the ticks with two decimal places for smoothness\n", " yaxis_ticks='outside', # Keep the ticks outside for clarity\n", " yaxis_showgrid=True, # Show gridlines for better visual clarity on a log scale\n", " yaxis_tickvals=[10, 100, 1000, 10000, 100000] # Specify appropriate tick values\n", ")\n", "\n", "# To show the plot\n", "fig.show()\n" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sns.pairplot(customers) #pair plot - customers contains numerical columns only" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers_numeric_cols = customers.select_dtypes(include=['float64'])\n", "sns.heatmap(customers_numeric_cols.corr(),annot=True,cmap='Greens') #correlation plot" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipGender_Male
034.37425815.12699437.1576245.3775940
134.60331112.20729833.9138476.9226891
334.96761013.91949437.9520135.0666970
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "0 34.374258 15.126994 37.157624 5.377594 \n", "1 34.603311 12.207298 33.913847 6.922689 \n", "3 34.967610 13.919494 37.952013 5.066697 \n", "\n", " Gender_Male \n", "0 0 \n", "1 1 \n", "3 0 " ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Dummification\n", "XWithCategEncoded = pd.get_dummies(XWithCateg, drop_first=True,dtype='int16')\n", "XWithCategEncoded.head(3)" ] }, { "cell_type": "code", "execution_count": 104, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((396, 5), (396,), (99, 5), (99,))" ] }, "execution_count": 104, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(XWithCategEncoded, y, test_size=0.2, random_state=101) #train test split\n", "X_train.shape, y_train.shape, X_test.shape, y_test.shape" ] }, { "cell_type": "code", "execution_count": 105, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
constAvg. Session LengthTime on AppTime on WebsiteLength of MembershipGender_Male
1511.032.56723012.48901336.3714804.2224360
211.033.87103812.02692534.4768785.4935071
4551.033.50381011.23341537.2111532.3205501
3631.032.17910011.18753940.0051823.5526501
4431.033.97608311.65803737.4252792.0863481
\n", "
" ], "text/plain": [ " const Avg. Session Length Time on App Time on Website \\\n", "151 1.0 32.567230 12.489013 36.371480 \n", "21 1.0 33.871038 12.026925 34.476878 \n", "455 1.0 33.503810 11.233415 37.211153 \n", "363 1.0 32.179100 11.187539 40.005182 \n", "443 1.0 33.976083 11.658037 37.425279 \n", "\n", " Length of Membership Gender_Male \n", "151 4.222436 0 \n", "21 5.493507 1 \n", "455 2.320550 1 \n", "363 3.552650 1 \n", "443 2.086348 1 " ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import statsmodels.api as sm\n", "# adding the Constant term\n", "X_train= sm.add_constant(X_train)\n", "X_train.head()\n", "\n", "X_test= sm.add_constant(X_test)\n", "X_test.head()" ] }, { "cell_type": "code", "execution_count": 106, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['const', 'Avg. Session Length', 'Time on App', 'Time on Website',\n", " 'Length of Membership', 'Gender_Male'],\n", " dtype='object')\n", "\n", "\n", "Index(['const', 'Avg. Session Length', 'Time on App', 'Time on Website',\n", " 'Length of Membership', 'Gender_Male'],\n", " dtype='object')\n", "\n", "\n", "\n", " No. of columns in Train Data :6\n", "\n", " No. of columns in Test Data :6\n" ] } ], "source": [ "print(X_train.columns)\n", "print(\"\\n\")\n", "print(X_test.columns)\n", "print(\"\\n\")\n", "print(\"\\n No. of columns in Train Data :{}\".format(len(X_train.columns)))\n", "print(\"\\n No. of columns in Test Data :{}\".format(len(X_test.columns)))" ] }, { "cell_type": "code", "execution_count": 107, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " OLS Regression Results \n", "===============================================================================\n", "Dep. Variable: Yearly Amount Spent R-squared: 0.022\n", "Model: OLS Adj. R-squared: 0.009\n", "Method: Least Squares F-statistic: 1.737\n", "Date: Sat, 21 Sep 2024 Prob (F-statistic): 0.125\n", "Time: 16:21:06 Log-Likelihood: -3375.9\n", "No. Observations: 396 AIC: 6764.\n", "Df Residuals: 390 BIC: 6788.\n", "Df Model: 5 \n", "Covariance Type: nonrobust \n", "========================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", "----------------------------------------------------------------------------------------\n", "const 6567.4212 3653.222 1.798 0.073 -615.052 1.37e+04\n", "Avg. Session Length -33.0340 66.576 -0.496 0.620 -163.926 97.858\n", "Time on App -112.9915 67.271 -1.680 0.094 -245.250 19.267\n", "Time on Website -71.9705 64.615 -1.114 0.266 -199.009 55.068\n", "Length of Membership -204.1591 79.922 -2.554 0.011 -361.290 -47.028\n", "Gender_Male -332.4920 178.341 -1.864 0.063 -683.121 18.137\n", "==============================================================================\n", "Omnibus: 922.262 Durbin-Watson: 2.072\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 2189695.822\n", "Skew: 18.729 Prob(JB): 0.00\n", "Kurtosis: 365.361 Cond. No. 3.03e+03\n", "==============================================================================\n", "\n", "Notes:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", "[2] The condition number is large, 3.03e+03. This might indicate that there are\n", "strong multicollinearity or other numerical problems.\n" ] } ], "source": [ "multiple_reg_Cat = sm.OLS(y_train, X_train).fit()\n", "print(multiple_reg_Cat.summary()) #build a model using all attributes" ] }, { "cell_type": "code", "execution_count": 108, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MLR_All_incl_Categorical_features
const6567.421165
Avg. Session Length-33.034000
Time on App-112.991482
Time on Website-71.970542
Length of Membership-204.159096
Gender_Male-332.491951
\n", "
" ], "text/plain": [ " MLR_All_incl_Categorical_features\n", "const 6567.421165\n", "Avg. Session Length -33.034000\n", "Time on App -112.991482\n", "Time on Website -71.970542\n", "Length of Membership -204.159096\n", "Gender_Male -332.491951" ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" } ], "source": [ "coeff(\"MLR_All_incl_Categorical_features\", multiple_reg_Cat.params)" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ModelMAE_TrainMSE_TrainRMSE_TrainMAPE_TrainMAE_TestMSE_TestRMSE_TestMAPE_TestR2RAE_TrainRSE_TrainRAE_TestRSE_Test
0MLR_with_Categ_attributes236.1437621.486420e+061219.18817439.056428156.4985441288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
\n", "
" ], "text/plain": [ " Model MAE_Train MSE_Train RMSE_Train \\\n", "0 MLR_with_Categ_attributes 236.143762 1.486420e+06 1219.188174 \n", "\n", " MAPE_Train MAE_Test MSE_Test RMSE_Test MAPE_Test R2 \\\n", "0 39.056428 156.49854 41288.559685 203.195865 31.798621 0.021787 \n", "\n", " RAE_Train RSE_Train RAE_Test RSE_Test \n", "0 1.659035 0.978213 2.935542 8.755543 " ] }, "execution_count": 109, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get error metrics\n", "scores = get_metrics(y_train, multiple_reg_Cat.predict(X_train), y_test, multiple_reg_Cat.predict(X_test), \"MLR_with_Categ_attributes\", scores)\n", "scores" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Box-Cox transformation: \n", "#### First Scenario: On just the attributes ('X'):" ] }, { "cell_type": "code", "execution_count": 111, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " const Avg. Session Length Time on App Time on Website \\\n", "216 1.0 32.536775 11.121366 36.979372 \n", "47 1.0 36.139662 12.050267 36.959643 \n", "40 1.0 32.644617 12.637557 36.517086 \n", "165 1.0 32.274594 12.954811 37.108816 \n", "95 1.0 32.726785 12.988510 36.462003 \n", "\n", " Length of Membership Gender_Male \n", "216 4.129255 0 \n", "47 3.864861 0 \n", "40 5.226688 0 \n", "165 3.689917 0 \n", "95 4.113226 0 \n", "216 4.129255\n", "47 3.864861\n", "40 5.226688\n", "165 3.689917\n", "95 4.113226\n", "Name: Length of Membership, dtype: float64\n" ] } ], "source": [ "# Box-Cox Transformation:\n", "from scipy import stats\n", "import statsmodels.api as sm\n", "import matplotlib.pyplot as plt\n", "\n", "# Data input to box-cox must be +ve\n", "print(X_train.head(5))\n", "print(X_train.iloc[:,4].head(5))\n", "X_train_box_cox, lambda_bc = stats.boxcox(X_train.iloc[:,4])\n", "X_test_box_cox, lambda_bc = stats.boxcox(X_test.iloc[:,4])\n", "\n", "# Step 2: Add a constant to X for the intercept\n", "X_train_boxcox = sm.add_constant(X_train)\n", "X_test_boxcox = sm.add_constant(X_test)\n", "\n", "# Step 3: Fit the multiple linear regression model using the transformed 'X_train' and 'X_test'\n", "modelboxCox = sm.OLS(y_train, X_train_boxcox).fit()\n", "\n", "# Step 4: Print the summary of the model\n", "model_summary = modelboxCox.summary()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAJOCAYAAABm7rQwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACGCUlEQVR4nOzde1yUdd7/8ffIYUCEEUQYSEQytRS10lKQ8oyah8o223WX1c3sYGquut5a209sS8oOuptltdudmZXde5eVty2pHSw8pGKWp8xaVCwQDzAo4YBw/f5gGR05CDrMDPJ6Ph7XI+a6PnPN97qGmunN9/pcJsMwDAEAAAAAAABu1MzTAwAAAAAAAEDTQygFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdoRSAAAAAAAAcDtCKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAbkcoBVykpUuXymQyadu2bdVuHzFihNq1a+e0rl27dho/fny9Xmfjxo1KTU1VQUHBxQ20CXrnnXfUpUsXBQYGymQyaceOHdXWff755zKZTI7Fx8dHrVu31siRI2t8X12h8nfnwIEDF6zt16+f+vXr12Bjqe94AABA47J582bdeeedioqKkr+/v6KiojRmzBht3br1ovaXnZ2tyZMnq3379goICFBoaKgGDBigd955p877aNeundN3sBYtWqhXr15atmyZU92lfA+aP3++3n///Yt6LgD3IZQC3GjlypV69NFH6/WcjRs3at68eYRSdXT06FGlpKSoffv2Sk9P16ZNm9SxY8danzN//nxt2rRJn3/+uR599FFt3LhRffv21f79+xtkjMOHD9emTZsUFRXVIPsHAACQpOeff159+vTR4cOHtWDBAq1bt05PP/20srOz1bt3b73yyiv12t+GDRvUrVs3ffDBB3rooYeUnp6upUuXKioqSr/+9a81btw4GYZRp3316dNHmzZt0qZNmxx/IBs3bpyWLFlyMYdaBaEU0Dj4enoAQFNy3XXXeXoI9VZaWiqTySRf38bxn4vvv/9epaWl+t3vfqe+ffvW6TkdOnRQ7969JUk33XSTWrZsqXHjxmn58uWaN2+ey8fYunVrtW7d2uX7BQAAqLRhwwZNmzZNt9xyi1auXOn0Xe7Xv/61br/9dk2aNEnXXXedbrjhhgvur6CgQKNHj5bFYtFXX32lyMhIx7Zbb71V3bp10+zZs3Xttdfqj3/84wX317JlS8f3L0kaNGiQYmNj9dxzz+mBBx6o59ECaKyYKQW40fmX75WXl+vxxx9Xp06dFBgYqJYtW6pbt27661//KklKTU3Vn/70J0lSXFycY4rz559/7nj+ggULdPXVV8tsNisiIkK///3vdfjwYafXNQxD8+fPV2xsrAICAtSzZ0+tXbu2ypToysvZ3njjDc2YMUNXXHGFzGazfvjhBx09elSTJk1S586d1aJFC0VERGjAgAH68ssvnV7rwIEDMplMevrpp/XUU0+pXbt2CgwMVL9+/RyB0ezZsxUdHS2LxaLbb79deXl5dTp/H374oRISEtS8eXMFBwdr8ODB2rRpk2P7+PHjlZSUJEm66667ZDKZLmrKd8+ePSVJR44ccVq/f/9+jR07VhERETKbzbrmmmv0wgsvONVc6D2Vqr9czjAMLViwwPEeXX/99frXv/5VZWw1XWpX+d5V/m5I0tq1a3XrrbeqTZs2CggI0FVXXaX77rtPx44du+A5+PrrrzVixAjHsUZHR2v48OFVfrcAAIB3SktLk8lk0pIlS6r8cdHX11cvvviio64u/vGPfygvL09PPvmkUyBVadasWbr66quVlpamM2fO1Hu8LVu2VKdOnXTw4MFa606cOKFJkybpiiuukL+/v6688ko98sgjstvtjhqTyaSioiK9/vrrju/PDd0OAcDFaRxTHwAvVlZWVu0Hb12mLi9YsECpqan685//rJtvvlmlpaX67rvvHJfq3XPPPTpx4oSef/55vffee47LvTp37ixJeuCBB/TKK69o8uTJGjFihA4cOKBHH31Un3/+ubZv367w8HBJ0iOPPKK0tDTde++9Gj16tLKzs3XPPfeotLS02kvb5syZo4SEBL300ktq1qyZIiIidPToUUnS3LlzZbVaderUKa1cuVL9+vXTJ598UuWD/oUXXlC3bt30wgsvqKCgQDNmzNDIkSPVq1cv+fn56b//+7918OBBzZw5U/fcc48+/PDDWs/VW2+9pd/+9rdKTk7W22+/LbvdrgULFjhePykpSY8++qhuvPFGPfjgg5o/f7769++vkJCQC74P58vKypIkp3OzZ88eJSYmqm3btnr22WdltVr18ccfa+rUqTp27Jjmzp0r6cLvaU3mzZunefPmacKECfrVr36l7OxsTZw4UWVlZerUqVO9j0GSfvzxRyUkJOiee+6RxWLRgQMH9NxzzykpKUk7d+6Un59ftc8rKirS4MGDFRcXpxdeeEGRkZHKzc3VZ599ppMnT17UWAAAgPuUlZXps88+U8+ePdWmTZtqa2JiYtSjRw+tW7dO5eXlatas9vkKa9eulY+Pj0aOHFntdpPJpFGjRmnBggX6+uuv6zT76lylpaU6ePBgrbPJT58+rf79++vHH3/UvHnz1K1bN3355ZdKS0vTjh07tHr1aknSpk2bNGDAAPXv39/ROuNivhMCcAMDwEV57bXXDEm1LrGxsU7PiY2NNcaNG+d4PGLECOPaa6+t9XWefvppQ5KRlZXltH7v3r2GJGPSpElO67/66itDkvHwww8bhmEYJ06cMMxms3HXXXc51W3atMmQZPTt29ex7rPPPjMkGTfffPMFj//MmTNGaWmpMXDgQOP22293rM/KyjIkGd27dzfKysoc6xctWmRIMkaNGuW0n2nTphmSDJvNVuNrlZWVGdHR0UbXrl2d9nny5EkjIiLCSExMrHIM//znPy94DJW177zzjlFaWmr88ssvxoYNG4xOnToZnTt3NvLz8x21Q4YMMdq0aVNlnJMnTzYCAgKMEydOGIZRt/e08nen8j3Nz883AgICnM6jYRjGhg0bqrxH5z/3/GP57LPPqn3N8vJyo7S01Dh48KAhyfjggw9q3Oe2bdsMScb7779f63EAAADvlJuba0gyfv3rX9dad9dddxmSjKNHj15wn1dffbVhtVprrVmyZEmdvofFxsYat9xyi1FaWmqUlpYaWVlZxrhx4wxJxp/+9CdHXd++fZ2+B7300kuGJON//ud/nPb31FNPGZKMNWvWONYFBQU5fe8G4J24fA+4RMuWLdPWrVurLJWXkdXmxhtv1DfffKNJkybp448/VmFhYZ1f97PPPpOkKnfzu/HGG3XNNdfok08+kVRxxxW73a4xY8Y41fXu3bvK3QEr3XHHHdWuf+mll3T99dcrICBAvr6+8vPz0yeffKK9e/dWqb3llluc/uJ2zTXXSKpo8n2uyvWHDh2q4Uilffv26eeff1ZKSorTPlu0aKE77rhDmzdv1i+//FLj8y/krrvukp+fn5o3b64+ffqosLBQq1evVsuWLSVV/FXuk08+0e23367mzZvrzJkzjuWWW27R6dOntXnzZkkX955u2rRJp0+f1m9/+1un9YmJiYqNjb3o48rLy9P999+vmJgYx/tVub/q3rNKV111lUJDQ/Vf//Vfeumll7Rnz56LHgMAAPBexn9m9ptMJkkVbQjO/Z5TVlZ2SfurzUcffSQ/Pz/5+fkpLi5O//M//6MpU6bo8ccfr/E5n376qYKCgvSrX/3KaX3l9+HK778AGg9CKeASXXPNNerZs2eVxWKxXPC5c+bM0TPPPKPNmzdr2LBhatWqlQYOHKht27Zd8LnHjx+XpGrv4BYdHe3YXvnP6q79r25dTfusbDrZq1cvvfvuu9q8ebO2bt2qoUOHqri4uEp9WFiY02N/f/9a158+fbrasZx7DDUda3l5ufLz82t8/oU89dRT2rp1q9avX69HHnlER44c0W233eboTXD8+HGdOXNGzz//vOPLU+Vyyy23SJKjT9PFvKeVx2e1Wqtsq25dXZSXlys5OVnvvfeeZs2apU8++URbtmxxhGfVvWeVLBaL1q9fr2uvvVYPP/ywunTpoujoaM2dO1elpaUXNR4AAOA+4eHhat68uaMlQU0OHDigwMBAtWrVSpJ09913O33PGThwoKO2bdu2Onr0qIqKimrdn1RxaeCFJCUlaevWrdq2bZv27NmjgoIC/e1vf3N8N6zO8ePHZbVaq4ReERER8vX1dXynAtB40FMK8CBfX19Nnz5d06dPV0FBgdatW6eHH35YQ4YMUXZ2tpo3b17jcyu/POTk5FTpFfDzzz87+klV1p3ftFuScnNzq50tVd1ft5YvX65+/fpVuU2vO3oMnXus5/v555/VrFkzhYaGXvT+r7zySkdz85tvvlmBgYH685//rOeff14zZ85UaGiofHx8lJKSogcffLDafcTFxUm6uPe08vhyc3OrbDv/PQoICJAkp2aekqo0L9+1a5e++eYbLV26VOPGjXOs/+GHHy50OiRJXbt21YoVK2QYhr799lstXbpUjz32mAIDAzV79uw67QMAAHiGj4+PBgwYoH/96186fPhwtX2lDh8+rMzMTA0dOtSxLjU1VZMnT3Y8Dg4OdvycnJysNWvWaNWqVfr1r39dZX+GYejDDz9Uq1at1L179wuO0WKxOL5/1VWrVq301VdfyTAMp++reXl5OnPmjOP7L4DGg5lSgJdo2bKlfvWrX+nBBx/UiRMnHH9pMpvNkqrObBkwYICkirDoXFu3btXevXsdf9nq1auXzGaz3nnnHae6zZs3X/DuJucymUyOsVT69ttvne5+11A6deqkK664Qm+99ZZTA/mioiK9++67jjvyucqsWbN01VVX6cknn9TJkyfVvHlz9e/fX19//bW6detW7cy4ymDpXDW9p+fr3bu3AgIC9Oabbzqt37hxY5X3qDKg+vbbb53Wn98ovvKL2vnv2csvv3zB4z9/P927d9fChQvVsmVLbd++vV7PBwAAnjF79mwZhqFJkyZVuQyvrKxMDzzwgMrKyvTQQw851rdr187p+825N1uZMGGCIiMjNWfOnGrvnLxgwQJ99913uv/++6t8/3CVgQMH6tSpU3r//fed1i9btsyxvZLZbK51ZjgA78BMKcCDRo4cqfj4ePXs2VOtW7fWwYMHtWjRIsXGxqpDhw6SKmasSNJf//pXjRs3Tn5+furUqZM6deqke++9V88//7yaNWumYcOGOe6+FxMToz/+8Y+SKi6Xmz59utLS0hQaGqrbb79dhw8f1rx58xQVFXXBO61UGjFihP7yl79o7ty56tu3r/bt26fHHntMcXFxF3Xb3/po1qyZFixYoN/+9rcaMWKE7rvvPtntdj399NMqKCjQk08+6dLX8/Pz0/z58zVmzBj99a9/1Z///Gf99a9/VVJSkm666SY98MADateunU6ePKkffvhBq1at0qeffiqpbu/p+UJDQzVz5kw9/vjjuueee3TnnXcqOztbqampVS7fu+GGG9SpUyfNnDlTZ86cUWhoqFauXKmMjAynuquvvlrt27d3fCENCwvTqlWrtHbt2gse///93//pxRdf1G233aYrr7xShmHovffeU0FBgQYPHnyRZxUAALhTnz59tGjRIj300ENKSkrS5MmT1bZtWx06dEgvvPCCNm3apNTU1Dp/trds2VLvvvuuRowYoR49euhPf/qTunfvrsLCQr3zzjt68803NXjwYKWmpjbYMf3+97/XCy+8oHHjxunAgQPq2rWrMjIyNH/+fN1yyy0aNGiQo7Zr1676/PPPtWrVKkVFRSk4OPii72gMoAF5rMU60MhV3rFs69at1W4fPnz4Be++9+yzzxqJiYlGeHi44e/vb7Rt29aYMGGCceDAAafnzZkzx4iOjjaaNWvmdIe1srIy46mnnjI6duxo+Pn5GeHh4cbvfvc7Izs72+n55eXlxuOPP260adPG8Pf3N7p162b83//9n9G9e3enO77Vduc6u91uzJw507jiiiuMgIAA4/rrrzfef/99Y9y4cU7HWXn3vaefftrp+TXt+0Ln8Vzvv/++0atXLyMgIMAICgoyBg4caGzYsKFOr1OdC9X26tXLCA0NNQoKChzHdvfddxtXXHGF4efnZ7Ru3dpITEw0Hn/8ccdz6vKeVncHvfLyciMtLc2IiYlxvEerVq2qctcZwzCM77//3khOTjZCQkKM1q1bG1OmTDFWr15d5e57e/bsMQYPHmwEBwcboaGhxp133mkcOnTIkGTMnTu3xvF89913xm9+8xujffv2RmBgoGGxWIwbb7zRWLp06QXPKQAA8C4bN2407rjjDiMyMtLxXTIgIMBYvXr1Re3v4MGDxqRJk4y4uDjDz8/Pcdfpxx57zDhz5kyd9hEbG2sMHz78gnXVfQ86fvy4cf/99xtRUVGGr6+vERsba8yZM8c4ffq0U92OHTuMPn36GM2bN69yN2MA3sNkGOdcCwOgycjKytLVV1+tuXPn6uGHH/b0cAAAAOAGy5Yt07hx4zRr1iw99dRTl7y/nTt36qabbtK1116rf/3rXwoMDHTBKAE0FVy+BzQB33zzjd5++20lJiYqJCRE+/bt04IFCxQSEqIJEyZ4engAAABwk9///vfKycnR7NmzFRQUpP/3//7fJe2va9eu+uCDDzRkyBCNHj1aH3zwQa130AOAczFTCmgCfvjhB91///365ptvVFBQIIvFon79+umJJ57g2noAAAAAgEcQSgEAAAAAAMDt6nbbLQAAAAAAAMCFCKUAAAAAAADgdoRSAAAAXiQtLU033HCDgoODFRERodtuu0379u1zqhk/frxMJpPT0rt3b6cau92uKVOmKDw8XEFBQRo1apQOHz7sVJOfn6+UlBRZLBZZLBalpKSooKDAqebQoUMaOXKkgoKCFB4erqlTp6qkpKRBjh0AADQtjfLue+Xl5fr5558VHBwsk8nk6eEAAAA3MAxDJ0+eVHR0tJo1u3z/rrZ+/Xo9+OCDuuGGG3TmzBk98sgjSk5O1p49exQUFOSoGzp0qF577TXH4/PvdjVt2jStWrVKK1asUKtWrTRjxgyNGDFCmZmZ8vHxkSSNHTtWhw8fVnp6uiTp3nvvVUpKilatWiVJKisr0/Dhw9W6dWtlZGTo+PHjGjdunAzD0PPPP1+n4+F7GwAATU+dv7cZjVB2drYhiYWFhYWFhaUJLtnZ2Z7+KuJWeXl5hiRj/fr1jnXjxo0zbr311hqfU1BQYPj5+RkrVqxwrPvpp5+MZs2aGenp6YZhGMaePXsMScbmzZsdNZs2bTIkGd99951hGIbx0UcfGc2aNTN++uknR83bb79tmM1mw2az1Wn8fG9jYWFhYWFpusuFvrc1yplSwcHBkqTs7GyFhIR4eDQAAMAdCgsLFRMT4/ge0FTYbDZJUlhYmNP6zz//XBEREWrZsqX69u2rJ554QhEREZKkzMxMlZaWKjk52VEfHR2t+Ph4bdy4UUOGDNGmTZtksVjUq1cvR03v3r1lsVi0ceNGderUSZs2bVJ8fLyio6MdNUOGDJHdbldmZqb69+9/wfHzvQ0AgKanrt/bGmUoVTn1OyQkhC83AAA0MU3pEjDDMDR9+nQlJSUpPj7esX7YsGG68847FRsbq6ysLD366KMaMGCAMjMzZTablZubK39/f4WGhjrtLzIyUrm5uZKk3NxcR4h1roiICKeayMhIp+2hoaHy9/d31JzPbrfLbrc7Hp88eVIS39sAAGiKLvS9rVGGUgAAAE3B5MmT9e233yojI8Np/V133eX4OT4+Xj179lRsbKxWr16t0aNH17g/wzCcvhxW90XxYmrOlZaWpnnz5tV8UAAAAP9x+XYJBQAAaMSmTJmiDz/8UJ999pnatGlTa21UVJRiY2O1f/9+SZLValVJSYny8/Od6vLy8hwzn6xWq44cOVJlX0ePHnWqOX9GVH5+vkpLS6vMoKo0Z84c2Ww2x5KdnV23AwYAAE0OoRQAAIAXMQxDkydP1nvvvadPP/1UcXFxF3zO8ePHlZ2draioKElSjx495Ofnp7Vr1zpqcnJytGvXLiUmJkqSEhISZLPZtGXLFkfNV199JZvN5lSza9cu5eTkOGrWrFkjs9msHj16VDsWs9nsuFSPS/YAAEBtuHwPAADAizz44IN666239MEHHyg4ONgxU8lisSgwMFCnTp1Samqq7rjjDkVFRenAgQN6+OGHFR4erttvv91RO2HCBM2YMUOtWrVSWFiYZs6cqa5du2rQoEGSpGuuuUZDhw7VxIkT9fLLL0uS7r33Xo0YMUKdOnWSJCUnJ6tz585KSUnR008/rRMnTmjmzJmaOHEiYRMAALhkzJQCAADwIkuWLJHNZlO/fv0UFRXlWN555x1Jko+Pj3bu3Klbb71VHTt21Lhx49SxY0dt2rTJ6Q43Cxcu1G233aYxY8aoT58+at68uVatWiUfHx9HzZtvvqmuXbsqOTlZycnJ6tatm9544w3Hdh8fH61evVoBAQHq06ePxowZo9tuu03PPPOM+04IAAC4bJkMwzA8PYj6KiwslMVikc1m4690AAA0EXz+N068bwAAND11/fxnphQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3M7X0wMAAAAAAACAdysrN7Ql64TyTp5WRHCAbowLk08z0yXtk1AKAAAAAAAANUrflaN5q/Yox3basS7KEqC5IztraHzURe+Xy/cAAAAAAABQrfRdOXpg+XanQEqScm2n9cDy7UrflXPR+yaUAgAAAAAAQBVl5Ybmrdojo5ptlevmrdqjsvLqKi6MUAoAAAAAAABVbMk6UWWG1LkMSTm209qSdeKi9k8oBQAAAAAAgCryTtYcSF1M3flodF6DdrNXN9i+Dzw5vMH2DQAAAAAA4AoRwQEurTsfM6UAAAAAAABQxY1xYYqyBMhUw3aTKu7Cd2Nc2EXtn1AKAAAAAAAAVfg0M2nuyM6SVCWYqnw8d2Rn+TSrKbaqHaEUAAAAAAAAqjU0PkpLfne9rBbnS/SslgAt+d31GhofddH7pqcUAAAAAAAAajQ0PkqDO1u1JeuE8k6eVkRwxSV7FztDqhKhFAAAAAAAAGrl08ykhPatXLpPLt8DAAAAAACA2xFKAQAAAAAAwO0IpQAAAAAAAOB2hFIAAAAAAABwO0IpAAAAAAAAuB2hFAAAAAAAANyOUAoAAAAAAABuRygFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdoRSAAAAAAAAcDtCKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3K5eodSSJUvUrVs3hYSEKCQkRAkJCfrXv/7l2D5+/HiZTCanpXfv3k77sNvtmjJlisLDwxUUFKRRo0bp8OHDrjkaAAAAAAAANAr1CqXatGmjJ598Utu2bdO2bds0YMAA3Xrrrdq9e7ejZujQocrJyXEsH330kdM+pk2bppUrV2rFihXKyMjQqVOnNGLECJWVlbnmiAAAAAAAAOD1fOtTPHLkSKfHTzzxhJYsWaLNmzerS5cukiSz2Syr1Vrt8202m1599VW98cYbGjRokCRp+fLliomJ0bp16zRkyJCLOQYAAAAAAAA0MhfdU6qsrEwrVqxQUVGREhISHOs///xzRUREqGPHjpo4caLy8vIc2zIzM1VaWqrk5GTHuujoaMXHx2vjxo0XOxQAAAAAAAA0MvWaKSVJO3fuVEJCgk6fPq0WLVpo5cqV6ty5syRp2LBhuvPOOxUbG6usrCw9+uijGjBggDIzM2U2m5Wbmyt/f3+FhoY67TMyMlK5ubk1vqbdbpfdbnc8LiwsrO+wAQAAAAAA4EXqHUp16tRJO3bsUEFBgd59912NGzdO69evV+fOnXXXXXc56uLj49WzZ0/FxsZq9erVGj16dI37NAxDJpOpxu1paWmaN29efYcKAAAAAAAAL1Xvy/f8/f111VVXqWfPnkpLS1P37t3117/+tdraqKgoxcbGav/+/ZIkq9WqkpIS5efnO9Xl5eUpMjKyxtecM2eObDabY8nOzq7vsAEAAAAAAOBFLrqnVCXDMJwurTvX8ePHlZ2draioKElSjx495Ofnp7Vr1zpqcnJytGvXLiUmJtb4GmazWSEhIU4LAAAAAAAAGq96Xb738MMPa9iwYYqJidHJkye1YsUKff7550pPT9epU6eUmpqqO+64Q1FRUTpw4IAefvhhhYeH6/bbb5ckWSwWTZgwQTNmzFCrVq0UFhammTNnqmvXro678QEAAAAAAODyV69Q6siRI0pJSVFOTo4sFou6deum9PR0DR48WMXFxdq5c6eWLVumgoICRUVFqX///nrnnXcUHBzs2MfChQvl6+urMWPGqLi4WAMHDtTSpUvl4+Pj8oMDAAAAAACAdzIZhmF4ehD1VVhYKIvFIpvN1mCX8rWbvbpB9itJB54c3mD7BgDgcuWOz3+4Hu8bAABNT10//y+5pxQAAAAAAABQX4RSAAAAAAAAcDtCKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3I5QCgAAAAAAAG5HKAUAAAAAAAC3I5QCAAAAAACA2xFKAQAAAAAAwO0IpQAAAAAAAOB2hFIAAAAAAABwO0IpAAAAAAAAuB2hFAAAAAAAANyOUAoAAMCLpKWl6YYbblBwcLAiIiJ02223ad++fU41hmEoNTVV0dHRCgwMVL9+/bR7926nGrvdrilTpig8PFxBQUEaNWqUDh8+7FSTn5+vlJQUWSwWWSwWpaSkqKCgwKnm0KFDGjlypIKCghQeHq6pU6eqpKSkQY4dAAA0LYRSAAAAXmT9+vV68MEHtXnzZq1du1ZnzpxRcnKyioqKHDULFizQc889p8WLF2vr1q2yWq0aPHiwTp486aiZNm2aVq5cqRUrVigjI0OnTp3SiBEjVFZW5qgZO3asduzYofT0dKWnp2vHjh1KSUlxbC8rK9Pw4cNVVFSkjIwMrVixQu+++65mzJjhnpMBAAAuaybDMAxPD6K+CgsLZbFYZLPZFBIS0iCv0W726gbZryQdeHJ4g+0bAIDLlTs+/73R0aNHFRERofXr1+vmm2+WYRiKjo7WtGnT9F//9V+SKmZFRUZG6qmnntJ9990nm82m1q1b64033tBdd90lSfr5558VExOjjz76SEOGDNHevXvVuXNnbd68Wb169ZIkbd68WQkJCfruu+/UqVMn/etf/9KIESOUnZ2t6OhoSdKKFSs0fvx45eXl1el9aKrvGwAATVldP/+ZKQUAAODFbDabJCksLEySlJWVpdzcXCUnJztqzGaz+vbtq40bN0qSMjMzVVpa6lQTHR2t+Ph4R82mTZtksVgcgZQk9e7dWxaLxakmPj7eEUhJ0pAhQ2S325WZmVnteO12uwoLC50WAACA6hBKAQAAeCnDMDR9+nQlJSUpPj5ekpSbmytJioyMdKqNjIx0bMvNzZW/v79CQ0NrrYmIiKjymhEREU41579OaGio/P39HTXnS0tLc/SoslgsiomJqe9hAwCAJoJQCgAAwEtNnjxZ3377rd5+++0q20wmk9NjwzCqrDvf+TXV1V9MzbnmzJkjm83mWLKzs2sdEwAAaLoIpQAAALzQlClT9OGHH+qzzz5TmzZtHOutVqskVZmplJeX55jVZLVaVVJSovz8/Fprjhw5UuV1jx496lRz/uvk5+ertLS0ygyqSmazWSEhIU4LAABAdQilAAAAvIhhGJo8ebLee+89ffrpp4qLi3PaHhcXJ6vVqrVr1zrWlZSUaP369UpMTJQk9ejRQ35+fk41OTk52rVrl6MmISFBNptNW7ZscdR89dVXstlsTjW7du1STk6Oo2bNmjUym83q0aOH6w8eAAA0Kb6eHgAAAADOevDBB/XWW2/pgw8+UHBwsGOmksViUWBgoEwmk6ZNm6b58+erQ4cO6tChg+bPn6/mzZtr7NixjtoJEyZoxowZatWqlcLCwjRz5kx17dpVgwYNkiRdc801Gjp0qCZOnKiXX35ZknTvvfdqxIgR6tSpkyQpOTlZnTt3VkpKip5++mmdOHFCM2fO1MSJE5kBBQAALhmhFAAAgBdZsmSJJKlfv35O61977TWNHz9ekjRr1iwVFxdr0qRJys/PV69evbRmzRoFBwc76hcuXChfX1+NGTNGxcXFGjhwoJYuXSofHx9HzZtvvqmpU6c67tI3atQoLV682LHdx8dHq1ev1qRJk9SnTx8FBgZq7NixeuaZZxro6AEAQFNiMgzD8PQg6quwsFAWi0U2m63B/krXbvbqBtmvJB14cniD7RsAgMuVOz7/4Xq8bwAAND11/fynpxQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3I5QCgAAAAAAAG5HKAUAAAAAAAC3I5QCAAAAAACA2xFKAQAAAAAAwO0IpQAAAAAAAOB2hFIAAAAAAABwO0IpAAAAAAAAuB2hFAAAAAAAANyOUAoAAAAAAABuRygFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdvUKpZYsWaJu3bopJCREISEhSkhI0L/+9S/HdsMwlJqaqujoaAUGBqpfv37avXu30z7sdrumTJmi8PBwBQUFadSoUTp8+LBrjgYAAAAAAACNQr1CqTZt2ujJJ5/Utm3btG3bNg0YMEC33nqrI3hasGCBnnvuOS1evFhbt26V1WrV4MGDdfLkScc+pk2bppUrV2rFihXKyMjQqVOnNGLECJWVlbn2yAAAAAAAAOC16hVKjRw5Urfccos6duyojh076oknnlCLFi20efNmGYahRYsW6ZFHHtHo0aMVHx+v119/Xb/88oveeustSZLNZtOrr76qZ599VoMGDdJ1112n5cuXa+fOnVq3bl2DHCAAAAAAAAC8z0X3lCorK9OKFStUVFSkhIQEZWVlKTc3V8nJyY4as9msvn37auPGjZKkzMxMlZaWOtVER0crPj7eUQMAAAAAAIDLn299n7Bz504lJCTo9OnTatGihVauXKnOnTs7QqXIyEin+sjISB08eFCSlJubK39/f4WGhlapyc3NrfE17Xa77Ha743FhYWF9hw0AAAAAAAAvUu+ZUp06ddKOHTu0efNmPfDAAxo3bpz27Nnj2G4ymZzqDcOosu58F6pJS0uTxWJxLDExMfUdNgAAAAAAALxIvUMpf39/XXXVVerZs6fS0tLUvXt3/fWvf5XVapWkKjOe8vLyHLOnrFarSkpKlJ+fX2NNdebMmSObzeZYsrOz6ztsAAAAAAAAeJGL7ilVyTAM2e12xcXFyWq1au3atY5tJSUlWr9+vRITEyVJPXr0kJ+fn1NNTk6Odu3a5aipjtlsVkhIiNMCAAAAAACAxqtePaUefvhhDRs2TDExMTp58qRWrFihzz//XOnp6TKZTJo2bZrmz5+vDh06qEOHDpo/f76aN2+usWPHSpIsFosmTJigGTNmqFWrVgoLC9PMmTPVtWtXDRo0qEEOEAAAAAAAAN6nXqHUkSNHlJKSopycHFksFnXr1k3p6ekaPHiwJGnWrFkqLi7WpEmTlJ+fr169emnNmjUKDg527GPhwoXy9fXVmDFjVFxcrIEDB2rp0qXy8fFx7ZEBAAAAAADAa5kMwzA8PYj6KiwslMVikc1ma7BL+drNXt0g+5WkA08Ob7B9AwBwuXLH5z9cj/cNAICmp66f/5fcUwoAAAAAAACoL0IpAAAAAAAAuB2hFAAAAAAAANyOUAoAAAAAAABuRygFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdoRSAAAAAAAAcDtCKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3I5QCgAAAAAAAG5HKAUAAAAAAAC3I5QCAAAAAACA2xFKAQAAAAAAwO0IpQAAAAAAAOB2hFIAAAAAAABwO0IpAAAAAAAAuB2hFAAAAAAAANyOUAoAAAAAAABuRygFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdoRSAAAAAAAAcDtCKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAF7miy++0MiRIxUdHS2TyaT333/fafv48eNlMpmclt69ezvV2O12TZkyReHh4QoKCtKoUaN0+PBhp5r8/HylpKTIYrHIYrEoJSVFBQUFTjWHDh3SyJEjFRQUpPDwcE2dOlUlJSUNcdgAAKCJIZQCAADwMkVFRerevbsWL15cY83QoUOVk5PjWD766COn7dOmTdPKlSu1YsUKZWRk6NSpUxoxYoTKysocNWPHjtWOHTuUnp6u9PR07dixQykpKY7tZWVlGj58uIqKipSRkaEVK1bo3Xff1YwZM1x/0AAAoMnx9fQAAAAA4GzYsGEaNmxYrTVms1lWq7XabTabTa+++qreeOMNDRo0SJK0fPlyxcTEaN26dRoyZIj27t2r9PR0bd68Wb169ZIk/f3vf1dCQoL27dunTp06ac2aNdqzZ4+ys7MVHR0tSXr22Wc1fvx4PfHEEwoJCXHhUQMAgKaGmVIAAACN0Oeff66IiAh17NhREydOVF5enmNbZmamSktLlZyc7FgXHR2t+Ph4bdy4UZK0adMmWSwWRyAlSb1795bFYnGqiY+PdwRSkjRkyBDZ7XZlZmY29CECAIDLHDOlAAAAGplhw4bpzjvvVGxsrLKysvToo49qwIAByszMlNlsVm5urvz9/RUaGur0vMjISOXm5kqScnNzFRERUWXfERERTjWRkZFO20NDQ+Xv7++oOZ/dbpfdbnc8LiwsvKRjBQAAly9CKQAAgEbmrrvucvwcHx+vnj17KjY2VqtXr9bo0aNrfJ5hGDKZTI7H5/58KTXnSktL07x58+p0HAAAoGnj8j0AAIBGLioqSrGxsdq/f78kyWq1qqSkRPn5+U51eXl5jplPVqtVR44cqbKvo0ePOtWcPyMqPz9fpaWlVWZQVZozZ45sNptjyc7OvuTjAwAAlydCKQAAgEbu+PHjys7OVlRUlCSpR48e8vPz09q1ax01OTk52rVrlxITEyVJCQkJstls2rJli6Pmq6++ks1mc6rZtWuXcnJyHDVr1qyR2WxWjx49qh2L2WxWSEiI0wIAAFAdLt8DAADwMqdOndIPP/zgeJyVlaUdO3YoLCxMYWFhSk1N1R133KGoqCgdOHBADz/8sMLDw3X77bdLkiwWiyZMmKAZM2aoVatWCgsL08yZM9W1a1fH3fiuueYaDR06VBMnTtTLL78sSbr33ns1YsQIderUSZKUnJyszp07KyUlRU8//bROnDihmTNnauLEiYRNAADgkhFKAQAAeJlt27apf//+jsfTp0+XJI0bN05LlizRzp07tWzZMhUUFCgqKkr9+/fXO++8o+DgYMdzFi5cKF9fX40ZM0bFxcUaOHCgli5dKh8fH0fNm2++qalTpzru0jdq1CgtXrzYsd3Hx0erV6/WpEmT1KdPHwUGBmrs2LF65plnGvoUAACAJsBkGIbh6UHUV2FhoSwWi2w2W4P9la7d7NUNsl9JOvDk8AbbNwAAlyt3fP7D9XjfAABoeur6+U9PKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAblevUCotLU033HCDgoODFRERodtuu0379u1zqhk/frxMJpPT0rt3b6cau92uKVOmKDw8XEFBQRo1apQOHz586UcDAAAAAACARqFeodT69ev14IMPavPmzVq7dq3OnDmj5ORkFRUVOdUNHTpUOTk5juWjjz5y2j5t2jStXLlSK1asUEZGhk6dOqURI0aorKzs0o8IAAAAAAAAXs+3PsXp6elOj1977TVFREQoMzNTN998s2O92WyW1Wqtdh82m02vvvqq3njjDQ0aNEiStHz5csXExGjdunUaMmRIfY8BAAAAAAAAjcwl9ZSy2WySpLCwMKf1n3/+uSIiItSxY0dNnDhReXl5jm2ZmZkqLS1VcnKyY110dLTi4+O1cePGal/HbrersLDQaQEAAAAAAEDjddGhlGEYmj59upKSkhQfH+9YP2zYML355pv69NNP9eyzz2rr1q0aMGCA7Ha7JCk3N1f+/v4KDQ112l9kZKRyc3Orfa20tDRZLBbHEhMTc7HDBgAAAAAAgBeo1+V755o8ebK+/fZbZWRkOK2/6667HD/Hx8erZ8+eio2N1erVqzV69Oga92cYhkwmU7Xb5syZo+nTpzseFxYWEkwBAAAAAAA0Yhc1U2rKlCn68MMP9dlnn6lNmza11kZFRSk2Nlb79++XJFmtVpWUlCg/P9+pLi8vT5GRkdXuw2w2KyQkxGkBAAAAAABA41WvUMowDE2ePFnvvfeePv30U8XFxV3wOcePH1d2draioqIkST169JCfn5/Wrl3rqMnJydGuXbuUmJhYz+EDAAAAAACgMarX5XsPPvig3nrrLX3wwQcKDg529ICyWCwKDAzUqVOnlJqaqjvuuENRUVE6cOCAHn74YYWHh+v222931E6YMEEzZsxQq1atFBYWppkzZ6pr166Ou/EBAAAAAADg8lavUGrJkiWSpH79+jmtf+211zR+/Hj5+Pho586dWrZsmQoKChQVFaX+/fvrnXfeUXBwsKN+4cKF8vX11ZgxY1RcXKyBAwdq6dKl8vHxufQjAgAAAAAAgNerVyhlGEat2wMDA/Xxxx9fcD8BAQF6/vnn9fzzz9fn5QEAAAAAAHCZuKhG5wAAAAAAAMClIJQCAAAAAACA2xFKAQAAuMD27du1c+dOx+MPPvhAt912mx5++GGVlJR4cGQAAADeiVAKAADABe677z59//33kqR///vf+vWvf63mzZvrn//8p2bNmuXh0QEAAHgfQikAAAAX+P7773XttddKkv75z3/q5ptv1ltvvaWlS5fq3Xff9ezgAAAAvBChFAAAgAsYhqHy8nJJ0rp163TLLbdIkmJiYnTs2DFPDg0AAMArEUoBAAC4QM+ePfX444/rjTfe0Pr16zV8+HBJUlZWliIjIz08OgAAAO9DKAUAAOACixYt0vbt2zV58mQ98sgjuuqqqyRJ//u//6vExEQPjw4AAMD7+Hp6AAAAAJeDbt26Od19r9LTTz8tHx8fD4wIAADAuzFTCgAAwEUKCgr0j3/8Q3PmzNGJEyckSXv27FFeXp6HRwYAAOB9mCkFAADgAt9++60GDhyoli1b6sCBA5o4caLCwsK0cuVKHTx4UMuWLfP0EAEAALwKM6UAAABcYPr06frDH/6g/fv3KyAgwLF+2LBh+uKLLzw4MgAAAO9EKAUAAOACW7du1X333Vdl/RVXXKHc3FwPjAgAAMC7EUoBAAC4QEBAgAoLC6us37dvn1q3bu2BEQEAAHg3QikAAAAXuPXWW/XYY4+ptLRUkmQymXTo0CHNnj1bd9xxh4dHBwAA4H0IpQAAAFzgmWee0dGjRxUREaHi4mL17dtXV111lYKDg/XEE094engAAABeh7vvAQAAuEBISIgyMjL06aefavv27SovL9f111+vQYMGeXpoAAAAXolQCgAAwIUGDBigAQMGeHoYAAAAXo9QCgAA4CL97W9/q3Pt1KlTG3AkAAAAjQ+hFAAAwEVauHBhnepMJhOhFAAAwHkIpQAAAC5SVlaWp4cAAADQaHH3PQAAAAAAALgdM6UAAAAu0vTp0/WXv/xFQUFBmj59eq21zz33nJtGBQAA0DgQSgEAAFykr7/+WqWlpY6fAQAAUHeEUgAAABfps88+q/ZnAAAAXBg9pQAAAFzg7rvv1smTJ6usLyoq0t133+2BEQEAAHg3QikAAAAXeP3111VcXFxlfXFxsZYtW+aBEQEAAHg3Lt8DAAC4BIWFhTIMQ4Zh6OTJkwoICHBsKysr00cffaSIiAgPjhAAAMA7EUoBAABcgpYtW8pkMslkMqljx45VtptMJs2bN88DIwMAAPBuhFIAAACX4LPPPpNhGBowYIDeffddhYWFObb5+/srNjZW0dHRHhwhAACAdyKUAgAAuAR9+/aVJGVlZSkmJkbNmtGyEwAAoC4IpQAAAFwgNjZWBQUF2rJli/Ly8lReXu60/fe//72HRgYAAOCdCKUAAABcYNWqVfrtb3+roqIiBQcHy2QyObaZTCZCKQAAgPMwvxwAAMAFZsyYobvvvlsnT55UQUGB8vPzHcuJEyc8PTwAAACvQygFAADgAj/99JOmTp2q5s2be3ooAAAAjQKhFAAAgAsMGTJE27Zt8/QwAAAAGg16SgEAALjA8OHD9ac//Ul79uxR165d5efn57R91KhRHhoZAACAdyKUAgAAcIGJEydKkh577LEq20wmk8rKytw9JAAAAK9GKAUAAOAC5eXlnh4CAABAo0JPKQAAAAAAALgdM6UAAABcpKioSOvXr9ehQ4dUUlLitG3q1KkeGhUAAIB3IpQCAABwga+//lq33HKLfvnlFxUVFSksLEzHjh1T8+bNFRERQSgFAABwHi7fAwAAcIE//vGPGjlypE6cOKHAwEBt3rxZBw8eVI8ePfTMM894engAAABeh1AKAADABXbs2KEZM2bIx8dHPj4+stvtiomJ0YIFC/Twww97engAAABeh1AKAADABfz8/GQymSRJkZGROnTokCTJYrE4fgYAAMBZ9JQCAABwgeuuu07btm1Tx44d1b9/f/2///f/dOzYMb3xxhvq2rWrp4cHAADgdZgpBQAA4ALz589XVFSUJOkvf/mLWrVqpQceeEB5eXl65ZVXPDw6AAAA78NMKQAAABfo2bOn4+fWrVvro48+8uBoAAAAvB8zpQAAAAAAAOB2zJQCAABwgbi4OEej8+r8+9//duNoAAAAvB+hFAAAgAtMmzbN6XFpaam+/vprpaen609/+pNnBgUAAODFCKUAAABc4KGHHqp2/QsvvKBt27a5eTQAAADej55SAAAADWjYsGF69913PT0MAAAAr1OvUCotLU033HCDgoODFRERodtuu0379u1zqjEMQ6mpqYqOjlZgYKD69eun3bt3O9XY7XZNmTJF4eHhCgoK0qhRo3T48OFLPxoAAAAv87//+78KCwvz9DAAAAC8Tr0u31u/fr0efPBB3XDDDTpz5oweeeQRJScna8+ePQoKCpIkLViwQM8995yWLl2qjh076vHHH9fgwYO1b98+BQcHS6roubBq1SqtWLFCrVq10owZMzRixAhlZmbKx8fH9UcJAADQwK677jqnRueGYSg3N1dHjx7Viy++6MGRAQAAeKd6hVLp6elOj1977TVFREQoMzNTN998swzD0KJFi/TII49o9OjRkqTXX39dkZGReuutt3TffffJZrPp1Vdf1RtvvKFBgwZJkpYvX66YmBitW7dOQ4YMcdGhAQAAuM9tt93m9LhZs2Zq3bq1+vXrp6uvvtozgwIAAPBil9To3GazSZJjSnpWVpZyc3OVnJzsqDGbzerbt682btyo++67T5mZmSotLXWqiY6OVnx8vDZu3EgoBQAAGqW5c+d6eggAAACNykWHUoZhaPr06UpKSlJ8fLwkKTc3V5IUGRnpVBsZGamDBw86avz9/RUaGlqlpvL557Pb7bLb7Y7HhYWFFztsAACABvHTTz/p3Xff1ffffy9/f3916tRJY8aMqfKdBwAAABUuOpSaPHmyvv32W2VkZFTZdm4/BakiwDp/3flqq0lLS9O8efMudqgAAAAN6sUXX9T06dNVUlIii8UiwzBUWFio6dOn6x//+Id+85vfyDAM7dixQ9ddd52nhwsAAOAV6nX3vUpTpkzRhx9+qM8++0xt2rRxrLdarZJUZcZTXl6eY/aU1WpVSUmJ8vPza6w535w5c2Sz2RxLdnb2xQwbAADA5VavXq2pU6dq8uTJ+umnn5Sfn6+CggL99NNPuu+++zRu3DhlZGTot7/9rVatWuXp4QIAAHiNeoVShmFo8uTJeu+99/Tpp58qLi7OaXtcXJysVqvWrl3rWFdSUqL169crMTFRktSjRw/5+fk51eTk5GjXrl2OmvOZzWaFhIQ4LQAAAN5gwYIFmj17tp555hlFRUU51kdFRem5557TrFmzNHjwYG3atEnjxo2r0z6/+OILjRw5UtHR0TKZTHr//fedthuGodTUVEVHRyswMFD9+vXT7t27nWrsdrumTJmi8PBwBQUFadSoUTp8+LBTTX5+vlJSUmSxWGSxWJSSkqKCggKnmkOHDmnkyJEKCgpSeHi4pk6dqpKSkrqfIAAAgBrUK5R68MEHtXz5cr311lsKDg5Wbm6ucnNzVVxcLKnisr1p06Zp/vz5WrlypXbt2qXx48erefPmGjt2rCTJYrFowoQJmjFjhj755BN9/fXX+t3vfqeuXbs67sYHAADQWHz99ddKSUmpcXtKSorsdrvWr1+v2NjYOu2zqKhI3bt31+LFi6vdvmDBAj333HNavHixtm7dKqvVqsGDB+vkyZOOmmnTpmnlypVasWKFMjIydOrUKY0YMUJlZWWOmrFjx2rHjh1KT09Xenq6duzY4XQsZWVlGj58uIqKipSRkaEVK1bo3Xff1YwZM+p0HAAAALWpV0+pJUuWSJL69evntP61117T+PHjJUmzZs1ScXGxJk2apPz8fPXq1Utr1qxRcHCwo37hwoXy9fXVmDFjVFxcrIEDB2rp0qXy8fG5tKMBAABws/Lycvn5+dW43c/PT4GBgWrbtm2d9zls2DANGzas2m2GYWjRokV65JFHNHr0aEnS66+/rsjISL311lu67777ZLPZ9Oqrr+qNN95w/NFv+fLliomJ0bp16zRkyBDt3btX6enp2rx5s3r16iVJ+vvf/66EhATt27dPnTp10po1a7Rnzx5lZ2crOjpakvTss89q/PjxeuKJJ5i9DgAALkm9L9+rbqkMpKSK2VKpqanKycnR6dOntX79esfd+SoFBATo+eef1/Hjx/XLL79o1apViomJcckBAQAAuFOXLl30wQcf1Lj9/fffV5cuXVz2ellZWcrNzVVycrJjndlsVt++fbVx40ZJUmZmpkpLS51qoqOjFR8f76jZtGmTLBaLI5CSpN69e8tisTjVxMfHOwIpSRoyZIjsdrsyMzNddkwAAKBpuui77wEAAECaNGmSHnjgAZnNZt17773y9a34enXmzBm9/PLL+vOf/6wXX3zRZa9XeUOZ828QExkZqYMHDzpq/P39FRoaWqWm8vm5ubmKiIiosv+IiAinmvNfJzQ0VP7+/lVubFPJbrfLbrc7HhcWFtbn8AAAQBNCKAUAAHAJxo0bp507d2ry5MmaM2eO2rdvL0n68ccfderUKU2dOtVpVrmrmEwmp8eGYVRZd77za6qrv5iac6WlpWnevHm1jgMAAECq5+V7AAAAqOqZZ57Rxo0bNX78eFmtVlmtVo0fP14bNmzQwoULXfpaVqtVkqrMVMrLy3PMarJarSopKVF+fn6tNUeOHKmy/6NHjzrVnP86+fn5Ki0trTKDqtKcOXNks9kcS3Z29kUcJQAAaAqYKQUAAOACvXv3Vu/evRv8deLi4mS1WrV27Vpdd911kqSSkhKtX79eTz31lCSpR48e8vPz09q1azVmzBhJUk5Ojnbt2qUFCxZIkhISEmSz2bRlyxbdeOONkqSvvvpKNptNiYmJjponnnhCOTk5ioqKkiStWbNGZrNZPXr0qHZ8ZrNZZrO54U4AAAC4bBBKAQAAeJlTp07phx9+cDzOysrSjh07FBYWprZt22ratGmaP3++OnTooA4dOmj+/Plq3ry5xo4dK0myWCyaMGGCZsyYoVatWiksLEwzZ85U165dHXfju+aaazR06FBNnDhRL7/8siTp3nvv1YgRI9SpUydJUnJysjp37qyUlBQ9/fTTOnHihGbOnKmJEydy5z0AAHDJCKUAAAC8zLZt29S/f3/H4+nTp0uq6F+1dOlSzZo1S8XFxZo0aZLy8/PVq1cvrVmzRsHBwY7nLFy4UL6+vhozZoyKi4s1cOBALV26VD4+Po6aN998U1OnTnXcpW/UqFFavHixY7uPj49Wr16tSZMmqU+fPgoMDNTYsWP1zDPPNPQpAAAATYDJMAzD04Oor8LCQlksFtlstgb7K1272asbZL+SdODJ4Q22bwAALlfu+PyH6/G+AQDQ9NT1859G5wAAAAAAAHA7QikAAAAXOXPmjNatW6eXX35ZJ0+elCT9/PPPOnXqlIdHBgAA4H3oKQUAAOACBw8e1NChQ3Xo0CHZ7XYNHjxYwcHBWrBggU6fPq2XXnrJ00MEAADwKsyUAgAAcIGHHnpIPXv2VH5+vgIDAx3rb7/9dn3yySceHBkAAIB3YqYUAACAC2RkZGjDhg3y9/d3Wh8bG6uffvrJQ6MCAADwXsyUAgAAcIHy8nKVlZVVWX/48GEFBwd7YEQAAADejVAKAADABQYPHqxFixY5HptMJp06dUpz587VLbfc4rmBAQAAeCku3wMAAHCBhQsXqn///urcubNOnz6tsWPHav/+/QoPD9fbb7/t6eEBAAB4HUIpAAAAF4iOjtaOHTv09ttva/v27SovL9eECRP029/+1qnxOQAAACoQSgEAALhIYGCg7r77bt19992eHgoAAIDXI5QCAAC4SB9++GGda0eNGtWAIwEAAGh8CKUAAAAu0m233VanOpPJVO2d+QAAAJoyQikAAICLVF5e7ukhAAAANFrNPD0AAAAAAAAAND2EUgAAAC7yySefaMSIEWrfvr2uuuoqjRgxQuvWrfP0sAAAALwSoRQAAIALLF68WEOHDlVwcLAeeughTZ06VSEhIbrlllu0ePFiTw8PAADA69BTCgAAwAXS0tK0cOFCTZ482bFu6tSp6tOnj5544gmn9QAAAGCmFAAAgEsUFhZq6NChVdYnJyersLDQAyMCAADwboRSAAAALjBq1CitXLmyyvoPPvhAI0eO9MCIAAAAvBuX7wEAALjANddcoyeeeEKff/65EhISJEmbN2/Whg0bNGPGDP3tb39z1E6dOtVTwwQAAPAahFIAAAAu8Oqrryo0NFR79uzRnj17HOtbtmypV1991fHYZDIRSgEAAIhQCgAAwCWysrI8PQQAAIBGhZ5SAAAAAAAAcDtmSgEAALiAYRj63//9X3322WfKy8tTeXm50/b33nvPQyMDAADwToRSAAAALvDQQw/plVdeUf/+/RUZGSmTyeTpIQEAAHg1QikAAAAXWL58ud577z3dcsstnh4KAABAo0BPKQAAABewWCy68sorPT0MAACARoNQCgAAwAVSU1M1b948FRcXe3ooAAAAjQKX7wEAALjAnXfeqbffflsRERFq166d/Pz8nLZv377dQyMDAADwToRSAAAALjB+/HhlZmbqd7/7HY3OAQAA6oBQCgAAwAVWr16tjz/+WElJSZ4eCgAAQKNATykAAAAXiImJUUhIiKeHAQAA0GgQSgEAALjAs88+q1mzZunAgQOeHgoAAECjwOV7AAAALvC73/1Ov/zyi9q3b6/mzZtXaXR+4sQJD40MAADAOxFKAQAAuMCiRYs8PQQAAIBGhVAKAADABcaNG+fpIQAAADQqhFIAAAAuVlxcrNLSUqd1NEEHAABwRqNzAAAAFygqKtLkyZMVERGhFi1aKDQ01GkBAACAM0IpAAAAF5g1a5Y+/fRTvfjiizKbzfrHP/6hefPmKTo6WsuWLfP08AAAALwOl+8BAAC4wKpVq7Rs2TL169dPd999t2666SZdddVVio2N1Ztvvqnf/va3nh4iAACAV2GmFAAAgAucOHFCcXFxkir6R504cUKSlJSUpC+++MKTQwMAAPBKhFIAAAAucOWVV+rAgQOSpM6dO+t//ud/JFXMoGrZsqXnBgYAAOClCKUAAABc4A9/+IO++eYbSdKcOXMcvaX++Mc/6k9/+pOHRwcAAOB96CkFAADgAn/84x8dP/fv31979+5VZmam2rdvr+7du3twZAAAAN6JUAoAAKABxMbGKjY21tPDAAAA8FpcvgcAAHAJvvrqK/3rX/9yWrds2TLFxcUpIiJC9957r+x2u4dGBwAA4L3qHUp98cUXGjlypKKjo2UymfT+++87bR8/frxMJpPT0rt3b6cau92uKVOmKDw8XEFBQRo1apQOHz58SQcCAADgCampqfr2228dj3fu3KkJEyZo0KBBmj17tlatWqW0tDQPjhAAAMA71TuUKioqUvfu3bV48eIaa4YOHaqcnBzH8tFHHzltnzZtmlauXKkVK1YoIyNDp06d0ogRI1RWVlb/IwAAAPCgHTt2aODAgY7HK1asUK9evfT3v/9d06dP19/+9jfHnfgAAABwVr17Sg0bNkzDhg2rtcZsNstqtVa7zWaz6dVXX9Ubb7yhQYMGSZKWL1+umJgYrVu3TkOGDKnvkAAAADwmPz9fkZGRjsfr16/X0KFDHY9vuOEGZWdne2JoAAAAXq1Bekp9/vnnioiIUMeOHTVx4kTl5eU5tmVmZqq0tFTJycmOddHR0YqPj9fGjRsbYjgAAAANJjIyUllZWZKkkpISbd++XQkJCY7tJ0+elJ+fn6eGBwAA4LVcfve9YcOG6c4771RsbKyysrL06KOPasCAAcrMzJTZbFZubq78/f0VGhrq9LzIyEjl5uZWu0+73e7UILSwsNDVwwYAALgoQ4cO1ezZs/XUU0/p/fffV/PmzXXTTTc5tn/77bdq3769B0cIAADgnVweSt11112On+Pj49WzZ0/FxsZq9erVGj16dI3PMwxDJpOp2m1paWmaN2+eq4cKAABwyR5//HGNHj1affv2VYsWLfT666/L39/fsf2///u/nWaIAwAAoILLQ6nzRUVFKTY2Vvv375ckWa1WlZSUKD8/32m2VF5enhITE6vdx5w5czR9+nTH48LCQsXExDTswAEAAOqgdevW+vLLL2Wz2dSiRQv5+Pg4bf/nP/+pFi1aeGh0AAAA3qtBekqd6/jx48rOzlZUVJQkqUePHvLz89PatWsdNTk5Odq1a1eNoZTZbFZISIjTAgAA4E0sFkuVQEqSwsLCnGZOAQAAoEK9Z0qdOnVKP/zwg+NxVlaWduzYobCwMIWFhSk1NVV33HGHoqKidODAAT388MMKDw/X7bffLqniC9uECRM0Y8YMtWrVSmFhYZo5c6a6du3quBsfAAAAAAAALm/1DqW2bdum/v37Ox5XXlY3btw4LVmyRDt37tSyZctUUFCgqKgo9e/fX++8846Cg4Mdz1m4cKF8fX01ZswYFRcXa+DAgVq6dGm1f10EAAAAAADA5afeoVS/fv1kGEaN2z/++OML7iMgIEDPP/+8nn/++fq+PAAAAAAAAC4DDd5TCgAAAAAAADgfoRQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3I5QCgAAAAAAAG5HKAUAAAAAAAC3I5QCAAAAAACA2xFKAQAAAAAAwO0IpQAAAAAAAOB2hFIAAAAAAABwO0IpAAAAAAAAuB2hFAAAQCOTmpoqk8nktFitVsd2wzCUmpqq6OhoBQYGql+/ftq9e7fTPux2u6ZMmaLw8HAFBQVp1KhROnz4sFNNfn6+UlJSZLFYZLFYlJKSooKCAnccIgAAaAIIpQAAABqhLl26KCcnx7Hs3LnTsW3BggV67rnntHjxYm3dulVWq1WDBw/WyZMnHTXTpk3TypUrtWLFCmVkZOjUqVMaMWKEysrKHDVjx47Vjh07lJ6ervT0dO3YsUMpKSluPU4AAHD58vX0AAAAAFB/vr6+TrOjKhmGoUWLFumRRx7R6NGjJUmvv/66IiMj9dZbb+m+++6TzWbTq6++qjfeeEODBg2SJC1fvlwxMTFat26dhgwZor179yo9PV2bN29Wr169JEl///vflZCQoH379qlTp07uO1gAAHBZYqYUAABAI7R//35FR0crLi5Ov/71r/Xvf/9bkpSVlaXc3FwlJyc7as1ms/r27auNGzdKkjIzM1VaWupUEx0drfj4eEfNpk2bZLFYHIGUJPXu3VsWi8VRUx273a7CwkKnBQAAoDqEUgAAAI1Mr169tGzZMn388cf6+9//rtzcXCUmJur48ePKzc2VJEVGRjo9JzIy0rEtNzdX/v7+Cg0NrbUmIiKiymtHREQ4aqqTlpbm6EFlsVgUExNzSccKAAAuX4RSAAAAjcywYcN0xx13qGvXrho0aJBWr14tqeIyvUomk8npOYZhVFl3vvNrqqu/0H7mzJkjm83mWLKzs+t0TAAAoOkhlAIAAGjkgoKC1LVrV+3fv9/RZ+r82Ux5eXmO2VNWq1UlJSXKz8+vtebIkSNVXuvo0aNVZmGdy2w2KyQkxGkBAACoDqEUAABAI2e327V3715FRUUpLi5OVqtVa9eudWwvKSnR+vXrlZiYKEnq0aOH/Pz8nGpycnK0a9cuR01CQoJsNpu2bNniqPnqq69ks9kcNQAAAJeCu+8BAAA0MjNnztTIkSPVtm1b5eXl6fHHH1dhYaHGjRsnk8mkadOmaf78+erQoYM6dOig+fPnq3nz5ho7dqwkyWKxaMKECZoxY4ZatWqlsLAwzZw503E5oCRdc801Gjp0qCZOnKiXX35ZknTvvfdqxIgR3HkPAAC4BKEUAABAI3P48GH95je/0bFjx9S6dWv17t1bmzdvVmxsrCRp1qxZKi4u1qRJk5Sfn69evXppzZo1Cg4Oduxj4cKF8vX11ZgxY1RcXKyBAwdq6dKl8vHxcdS8+eabmjp1quMufaNGjdLixYvde7AAAOCyZTIMw/D0IOqrsLBQFotFNputwfoUtJu9ukH2K0kHnhzeYPsGAOBy5Y7Pf7ge7xsAAE1PXT//6SkFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdoRSAAAAAAAAcDtCKQAAAAAAALgdoRQAAAAAAADcjlAKAAAAAAAAbkcoBQAAAAAAALcjlAIAAAAAAIDbEUoBAAAAAADA7QilAAAAAAAA4HaEUgAAAAAAAHA7QikAAAAAAAC4HaEUAAAAAAAA3I5QCgAAAAAAAG5HKAUAAAAAAAC3I5QCAAAAAACA2xFKAQAAAAAA4MLOnJG2b5cMwyW783XJXgAAAAAAAHB5OXVK+uor6csvpYwMafNmqahIysqS2rW75N0TSgEAAAAAAEA6ckTasOFsCPX111JZmXNNy5bSv/9NKAUAAAAAAICLYBjSDz9UhE+VIdT+/VXrYmKkm26SkpIqli5dpGau6QZFKAUAAAAAAHC5O3NG2rHDOYTKy6taFx/vHEK1bdtgQyKUAgAAAAAAuNxU9oOqDKEq+0Gdy99fuuGGsyFUYqIUGuq2IRJKAQAAAAAANHaV/aAyMiqW7dur9oOyWKQ+fc6GUD17SgEBnhmvCKUAAAAAAAAal3P7QVXOhKquH1SbNhUBVGUI5cJ+UK5Q75F88cUXGjlypKKjo2UymfT+++87bTcMQ6mpqYqOjlZgYKD69eun3bt3O9XY7XZNmTJF4eHhCgoK0qhRo3T48OFLOhAAAAAAAIDL0pkz0rZt0qJF0q9+JUVFSR07SnffLf33f58NpOLjpfvvl958Uzp4UMrOlt56S3rgAalrV68KpKSLmClVVFSk7t276w9/+IPuuOOOKtsXLFig5557TkuXLlXHjh31+OOPa/Dgwdq3b5+Cg4MlSdOmTdOqVau0YsUKtWrVSjNmzNCIESOUmZkpHx+fSz8qAAAAAACAxqqoqKIHVOVMqE2bau4HlZRUMRMqIUEKC/PMeC9SvUOpYcOGadiwYdVuMwxDixYt0iOPPKLRo0dLkl5//XVFRkbqrbfe0n333SebzaZXX31Vb7zxhgYNGiRJWr58uWJiYrRu3ToNGTLkEg4HAAAAAACgkalPP6jKEMrD/aBcwaU9pbKyspSbm6vk5GTHOrPZrL59+2rjxo267777lJmZqdLSUqea6OhoxcfHa+PGjdWGUna7XXa73fG4sLDQlcMGAAAAAABwj/P7QWVkSN9/X7Wush9UZQjlZf2gXMGloVRubq4kKTIy0ml9ZGSkDh486Kjx9/dX6Hm3GIyMjHQ8/3xpaWmaN2+eK4cKAAAAAADQ8M6ckXbscA6hjhypWhcfXxFAVYZQbdu6faju1iB33zOZTE6PDcOosu58tdXMmTNH06dPdzwuLCxUTEzMpQ8UAAAAAADAlYqKpK++qrgjXl36QSUlSYmJja4flCu4NJSyWq2SKmZDRUVFOdbn5eU5Zk9ZrVaVlJQoPz/fabZUXl6eEhMTq92v2WyW2Wx25VABAAAAAAAuXV6e8yyoC/WDSkqqCKQaeT8oV3BpKBUXFyer1aq1a9fquuuukySVlJRo/fr1euqppyRJPXr0kJ+fn9auXasxY8ZIknJycrRr1y4tWLDAlcMBAAAAAABwHcOQfvyxInyqnAl1oX5QSUkVl+ZdZv2gXKHeodSpU6f0ww8/OB5nZWVpx44dCgsLU9u2bTVt2jTNnz9fHTp0UIcOHTR//nw1b95cY8eOlSRZLBZNmDBBM2bMUKtWrRQWFqaZM2eqa9eujrvxAQAAAAAAeNyZM9I33ziHUBfqB5WUJMXGun+sjVC9Q6lt27apf//+jseVvZ7GjRunpUuXatasWSouLtakSZOUn5+vXr16ac2aNQoODnY8Z+HChfL19dWYMWNUXFysgQMHaunSpfLx8XHBIQEAAAAAAFyEyn5QlSEU/aAalMkwDMPTg6ivwsJCWSwW2Ww2hYSENMhrtJu9ukH2K0kHnhzeYPsGAOBy5Y7Pf7ge7xsAwKvl5UkbNpwNoegH5RJ1/fxvkLvvAQAAAAAAeJVz+0FVhlB16QfVpYvElV0NglAKAAAAAABcfs7tB1W55OZWrevSxTmEattWMpncP94miFAKAAAAAAA0fuf2g8rIqOgHdeqUc42fX8Xld5UhFP2gPIpQCgAAAAAAND516QcVElLRD6oyhOrZUwoM9Mx4UQWhFAAAAAAA8G7n94PKyJD27atad8UVFQFUZQhFPyivRigFAAAAAAC8S336QSUlnQ2h6AfVqBBKAQAAAAAAz6pPP6jKEIp+UI0eoRQAAAAAAHCvo0edZ0Ft314xO+pclf2gKkMo+kFddgilAAAAAABAwzEM6d//rmhGXpd+UJUhFP2gLnuEUgAAAAAAwHXOnJG+/dY5hKqtH1RlCEU/qCaHUAoAAAAAAFy8oiJpy5azIdSF+kElJVVclkc/qCaPUAoAAAAAANTd0aPShg1nQ6gL9YNKSqoIpOgHhfMQSgEAAAAAgOpV9oPKyDgbQl2oH1RSkhQfTz8oXBChFAAAAAAAqFDZD+rcEOpC/aCSkqTYWPpBod4IpQAAAAAAaKp++UX66quzIVRd+kElJkqtWnlmvLisEEoBAAAAANBUVPaDqgyh6AcFDyKUAgAAAADgcnRuP6jKEIp+UPAihFIAAAAAAFwOzu0HVbnk5FSt69zZOYSiHxQ8hFAKAAAAAIDG6Nx+UBkZFf2gTp50rvHzk3r2PBtC0Q8KXoRQCgAAAACAxuDYMedZUJmZ1feDSkw8G0LRDwpejFAKAAAAAABvYxhSVlZFH6jKEOq776rWRUdXBFCVIRT9oNCIEEoBAAAAAOBpZWXSN9/UrR9UUtLZEIp+UKhBWbmhLVknlHfytCKCA3RjXJh8mnnX7wqhFAAAAAAA7lafflCVIRT9oC5LdQmP6hswpe/K0bxVe5RjO+1YF2UJ0NyRnTU0PqrBjqW+CKUAAAAAAGho9ekHVRlC0Q/qslFTqFSX8Ki+AVP6rhw9sHy7jPPW59pO64Hl27Xkd9d7TTBFKAUAAAAAgCtV9oPKyDjbE6q2flCVIRT9oBq1+gZPo7pH6ZUvsmoNjyTVK2AqKzc0b9WeKvWSZEgySZq3ao8Gd7Z6xaV8hFIAAAAAAFyKsjLp22+dm5LX1g+qMoSiH9Rlo77BU47ttF7+IqvafVWGR6kf7pZkqlfAtCXrhNMYqnteju20tmSdUEJ7z18KSigFAAAAAEB9/PKLtGXL2RDqQv2gkpIqLssLD/fMeOFy586KOnDsFy1a9329gqcLMSTlFtovWHN+wJR3suZA6lx1rWtohFIAAAAAANTm2DFpw4azl+NdqB9UUpJ04430g2qkzr8Mr0dsqDIP5jse5xeV6C+r99Q6I8mdzg2YIoID6vScutY1NEIpAAAAAAAqndsPqjKEulA/qKQkqWtX+kE1ErWFTgeO/aK3txxSbuHZoKeZSSqv7ho6L3FuwHRjXJiiLAHKtZ2u9rI/kySrpaLflTcglAIAAAAANF2V/aDObUp+oX5QSUlSu3b0g/IS54ZM4UFmySQdO2Wv9udP9h7R+zt+1omiEsfzLxQ6eSKQMkmKDDFLMulIYd0DJp9mJs0d2VkPLN8uk+T0vMrf1rkjO3tFk3OJUAoAAAAA0JRU9oOqnAm1cSP9oLxEZbiUayvWiaIStWzur4JfShTWwqyIFhWhUl7haadthwuK9cF5IVN9eXoWVE3hUeqoLpJU74BpaHyUlvzu+iqN162WAM0d2dnpbn2eRigFAAAAALh8ndsPKiOjoh9Uaalzzfn9oG64QWre3DPjvcycGzQdO2VXQXGpDEMKbe6vsKCKYKllc39t+vGY1u7Nk6249MI7bYRqCpXuvTlOH36TU2t4dDEB09D4KA3ubHW6TPHGuDCvmSFViVAKAAAAAHB5OL8fVEaGtHdv1Tr6QdVbTeGSJdBPhaer//nr7Hxl7D+mU/YyTw/fI+oaPM0aek2t4dHFBkw+zUyOu/J5K0IpAAAAAEDjdG4/qMrl55+r1l1zjXMI1YT6QZWVG9r843Ft+PGofsovrrbGZDIpqmWAWgb6q6C4RD/nFzut234oX+u/P6rTpeVuHn3jVtfgqS7hUWMImC4GoRQAAAAAoHGoaz+oHj3OhlBu7gdVGQJ9+UOevs22qbj0jErOGDL7NpPZt5lMJpNOnylTgK+PWgX563hRSY2Pw1uYJRk6dsp5XV3ztJ8LirXjsE2lZV5867jLROXleX8c1EHtwoMuKnhqigilAAAAAADeqS79oIKDK4KnyhCqhn5QZeWGNu4/pn9mHtLe3JMyjHKZfX3l72OS/Uy5SsvKZchwrCspMy64raTMOWzKsRXr4IlijzfOhvt5YxPxxoBQCgAAABf04osv6umnn1ZOTo66dOmiRYsW6aabbvL0sAA0UpUB0f9uz1b2iV90urRMJaVnZMn7Sdce2K3rs3er64FdanvkYJXnHg0O07ftumpP+27ad1U37Y9op7JmzeTv46OSrWUq3rRRgb7N5O/r4wiTTpca+qngtMiKcDGamZzv0BdlCdCjw69RaJDZq5uINwaEUgAAAKjVO++8o2nTpunFF19Unz599PLLL2vYsGHas2eP2rZt6+nhAXCxkjPlem3Dv7Vm9xHZiu0VYc+ZMv1SWiaTTAr0qwh8Lnbd6TMVAZGpvExXHz2oGw7v1g2H96jn4d2ynjpRZTz7W8Voa5vO2tams7a06aLDlkjnflDH7W48O7gcnR86WUPM+s2NbR2X4fWIDVXmwXwCqAZAKAUAAIBaPffcc5owYYLuueceSdKiRYv08ccfa8mSJUpLS/Pw6IDLX8mZcr2+MUtf/fu4cmynq1xS5u/jU++fS86UqfhMuWNGUeXjotNlKjh9pkGOw1xq17U53ztCqOt/2qvgEufG26XNfLTTepW2tumirW26KPOKq5Xf3NIg40HTFhbkp9uvvUKDOlvrFDrRD6phEEoBAACgRiUlJcrMzNTs2bOd1icnJ2vjxo0eGhXgOec3sa6uQbXZp6K/UHUNrivXnd+XqKZ/Hj1pV96pEk8f9kVpWVyonof3/ieE2q343B/lX+4ceJ30D9T2K67R1jadtbVNF30T1UGn/QI8NGI0ZpUh04CrIyWTdOyUXeFB5mp/ri54InTyDEIpAAAA1OjYsWMqKytTZGSk0/rIyEjl5uZWqbfb7bLbz15KU1hY2OBjBM5VGRpt+PGofsovrrXWMGq+q1l12362FWtHtk1n6GJdlWGoje2Ibji8xzETqsPx7CplR1qE/WcWVEUI9V3rWJU38/HAgOHNLAG+Gtw5Ugntw1XwS4nCWpgV0aIiVMorPK0TRSVq2dzfsc0awiV1jRWhFAAAAC7IdN79xw3DqLJOktLS0jRv3jx3DQuXicogadO/j6nckCyBfiooLtHP+cUymUyKahmgloH+jnWSql3/c0Gxdhy2qbSM0KihNftPP6ieh3frxjr2g9rapouyz+8HhSajuV8zDYu3ytoyUIYhhTb3V1hQRbBEwNR0EUoBAACgRuHh4fLx8akyKyovL6/K7ClJmjNnjqZPn+54XFhYqJiYmAYfJzynrNzQlqwTyrUVO2YvnCiyq6C4VMZ/AqbC0zX//EPeKa3//qhOl5Z7+lBQi8p+UD0P79GNh3dfsB/Utjadte2Ka+gHdZky+5rUv1OErmzd4oL/jptkUkL7Vup9ZSuCJlRBKAUAAIAa+fv7q0ePHlq7dq1uv/12x/q1a9fq1ltvrVJvNptlNpvdOUS4WHUh07kzGc7956Yfj2nt3jzZiks9PWy4WGU/qIqZUBfuB7WtTWftiOpIPygv52uSrm3bUle0DHRaX93Mw/PX5RSc1hWhgUpsH07ABJchlAIAAECtpk+frpSUFPXs2VMJCQl65ZVXdOjQId1///2eHhrqoTJsyjt5utrmv3mFp7XhB0KmJsmpH1RFT6gL9YPa1qaz9rZuRz+oOmgd5KuIkECnhvfVNciv7nF4C7Okmnuf1YXJZCJMgtcilAIAAECt7rrrLh0/flyPPfaYcnJyFB8fr48++kixsbGeHlqTdm7IFBEc4HRL8/NDp60HTmjpxgMqIGyCnPtBVYZQTbEflMXsozZhzeXvY5L9TLlKy8plyJDZ19fpLoi1bSspq3p3xdIyKcoSoBvjWmlcYjv5+zbz9KECXotQCgAAABc0adIkTZo0ydPDaHJqCp7W7snV+zt+1omiEkdtM5PETeFQnXP7Qd1weI+u/2mvQkp+cao5vx9U5hXX6ISb+0FFtvCTj49JJpkU6NdM/r4+KjlTpuIz5Qr0Pfv4l9Iyp5rKwMjfp2r9udvOlBsKCfRTcmerxveJIywCvAChFAAAAOAFzg+g8otK9JfVe5RjO+2oqS14IpBCpXP7Qd1weI+65v5QpR/UKf9AbY++WltiulywH1RogI9atfCvEgZVFxDVdV1pWblMzUy6xmrRr3q0UeJV4VxWBjRBhFIAAABAHZ0fHJ172/KattVl/YFjv+jtLYeUW3i61tcneIJU0aOodXBAxSwgo1wxtqO6+sdv1CVrp7pm7VbskQNVnnM8pJV2tYvXziu76rv23fV961gVGSbHjKI258wwCvD34/IzAG5BKAUAAIDLTm3h0cXWp+/K0bxVzjOXoiwBmjuysyRVu21U9yh9+E1OndajcYpo4aerIoKdGlSbfc72Fyo5U7XnUMkZo0pfotr+WVp+To+iXjHy37tbysiQNmdU/POnn6oO7OqrpZtukpKSpKQktYqLU1+TSX3df4oAoEaEUgAAALis1BYeDY2Puqj69F05emD5dp0/USnXdlr3L99e7ThybKf18hdZdV4P1/M1Sde2bakrWgZWu90war6rWXXbJEPHi0rV3OyjG9u5aRZRcbG0dav05RppRYa0caNUWHjegfpKPXqcDaESE6XWrRt2XADgAoRSAAAA8Kj6zmqqTW3h0QPLt2vJ7653CqbqUj+4s1XzVu2pUiOp2nW4NM39m2lol0hFWgL1c36xTCaToloGqGWgvwqKS/RzfrEk1br+itBAJbYPV+8rWzW+PkXHj0sbNlTMgMrIkLZtk0rPu2tiixYVwVNlCHXjjVLz5p4ZLwBcAkIpAAAAeEx9ZzXVpqzcqDU8MqniErvBna2Onk51qQ8O8OMyuzqwBPhqcOdIJbQP14kiuwqKS2UYkiXQT4Wna/85tLm/woPNsoZcWijZ6BiGdPCg9OWXZ0OoPXuq1lmtZwOom26SunatmB0FAI2cy/9Llpqaqnnz5jmti4yMVG5urqSKabDz5s3TK6+8ovz8fPXq1UsvvPCCunTp4uqhAAAAwIvVd1bThWzJOlFreGSo4tK5LVknlNC+VZ3rN/14vM5juJycGzIV/FKils39q/1nWIsmGCZdrLIyadcu5xCqpn5QlQFUUpIUFyfHdYUAcBlpkHi9S5cuWrduneOxj4+P4+cFCxboueee09KlS9WxY0c9/vjjGjx4sPbt26fg4OCGGA4AAAC8TH1nNdVF3sm6zWaqrKtrfWO5SK+ZqW5352sZ6KdxibG6Ma6Vjp2yKzzILJmkvMLTOlFEyORSlf2gMjIqgqja+kFVhlD0gwLQhDRIKOXr6yur1VplvWEYWrRokR555BGNHj1akvT6668rMjJSb731lu67776GGA4AAAC8TH1nNdVFRHBAverqWp9wZbje3f6Tcm2nPR5PnR88hQX56fZrr9Cgzlb1iA1V5sF85Z087Qiazg2djp2yX3LPLlzA8eMVwVPlTKja+kFVhlD0gwLQhDVIKLV//35FR0fLbDarV69emj9/vq688kplZWUpNzdXycnJjlqz2ay+fftq48aNNYZSdrtddrvd8bjw/L8uAAAAoFGp76ymurgxLkxRloAawyOTJKulIpSpT33v9q00d2RnPbB8u0xynjd17uPzt12qKEuAHh1+jUKDzI4m8OcGT9UFTHUN8OAClf2gKmdB1aUfVFKS1K0b/aAA4D9c/l/DXr16admyZerYsaOOHDmixx9/XImJidq9e7ejr1RkZKTTcyIjI3Xw4MEa95mWllalTxUAAAAar/rOaqoLn2amWsMjSZo7srMjxKlP/dD4KC353fVVmrJb/9OUXVK1DdtHdY/Sh9/k1Gm9NcSs39zYVu3Cg2qd0UTw5CGV/aAqe0F9+WXt/aAqZ0LRDwoAamQyDKNBZyEXFRWpffv2mjVrlnr37q0+ffro559/VlTU2aaVEydOVHZ2ttLT06vdR3UzpWJiYmSz2RQSEtIg4243e3WD7FeSDjw5vMH2DQDA5aqwsFAWi6VBP//hejW9b2XlhpKe+vSCs5Qy/mtAvS81q+8d/epTX1ZuaEvWiWpnKtW0rb7r4SXO7QeVkVFxWZ7N5lxzbj+opCSpTx/6QQGA6v69rcHnjQYFBalr167av3+/brvtNklSbm6uUyiVl5dXZfbUucxms8xmc0MPFQAAAG5S31lN9TE0PkqDO1vrHPjUp96nmanGmUo1bavvenjIiRPShg1nZ0FdqB9UUlJFP6igIM+MFwAuAw0eStntdu3du1c33XST4uLiZLVatXbtWl133XWSpJKSEq1fv15PPfVUQw8FAAAAXuRCl8RVN6upruob+BAQNTHn9oOqXHbvrlpHPygAaFAu/y/qzJkzNXLkSLVt21Z5eXl6/PHHVVhYqHHjxslkMmnatGmaP3++OnTooA4dOmj+/Plq3ry5xo4d6+qhAAAAwMvVd1YTcFHO7weVkSEdPly17tx+UElJ0pVX0g8KABqQy0Opw4cP6ze/+Y2OHTum1q1bq3fv3tq8ebNiY2MlSbNmzVJxcbEmTZqk/Px89erVS2vWrFFwcLCrhwIAAIBGgFlKcLm69oO6/vqzM6HoBwUAbufyUGrFihW1bjeZTEpNTVVqaqqrXxoAAABAU3RuP6iMjIp+UCUlzjUtWkgJCWdDKPpBAYDHcUE0AAAAgMbDMKRDhyqakdMPCgAaNf6rDAAAAMB7lZVVhE7nhlDV9YPq1Mk5hKIfFAB4PUIpAAAAAN7j9OmKflCVIRT9oADgskUoBQAAAMBzTpyoCJ4qQ6ja+kElJVUEUfSDAoDLAqEUAAAAAPeo7AeVkXE2hKqpH1RlAEU/KAC4bPFfdgAAAAANo7If1LkhVE39oM4NoegHBQBNAqEUAAAAANeo7AdVGULV1g+qsiF5nz5SRIRnxgsA8ChCKQAAAAAXp7IfVGUIdaF+UElJUq9e9IMCAEgilAIAAABQF+f2g6oMoarrBxUZefYyvJtuoh8UAKBGfDoAAAAAqKq8XNq1yzmEqq0fVGUIRT8oAEAdEUoBAAAAcO4HlZEhbdhAPygAQIMilAIAAACaonP7QWVkVARS9IMCALgRoRQAAADQFBw8eDaAysiouDTvfOf2g0pKkrp3px8UAKDB8AkDAAAAXG7O7weVkSFlZ1et69jROYRq355+UAAAtyGUAgAAABq7uvSD8vGp6AdVGULRDwoA4GGEUgAAAEBjk59fETzV1g8qKEhKTKQfFADAaxFKAQAAAN7u0KGK8OnLL2vvB5WUdHYmFP2gAABejk8pAAAAwJuUl0u7d58NoGrrB3VuCEU/KABAI0MoBQAAAHjS6dPStm1nQ6iNG6WCAueayn5QlSEU/aAAAJcBQikAAADAnfLzK4KnysvxauoHlZBwdhYU/aAAAJchQikAAACgIVX2g6oMoWrrB1U5E4p+UACAJoBPOgAAAMBVKvtBnduUvLZ+UJUhFP2gAABNEKEUAAAAcLEq+0FVhlAX6gdVudAPCgAAQikAAACgzs7tB5WRIW3ZUnM/qMpZUPSDAgCgWoRSAAAAQE3O7QeVkVHRD8ownGsiIs42JKcfFAAAdcanJQAAACA594OqvBzvQv2gkpKkq66iHxQAABeBUAoAAABNk90ubd16NoTasOHC/aD69Km4Ux4AALhkhFIAAABoGs7vB7V1a0Uwda5z+0ElJVX0g2rRwjPjBQDgMkcoBQAAgMtTdnbFJXh17QeVlFTRD8rPzzPjBQCgiSGUAgAAQONXXi7t2eMcQh06VLWuQwfnEIp+UAAAeAyhFAAAABofu13atu1sCEU/KAAAGh1CKQAAAHi/goKKflCVIVR1/aCaN6/oB1U5E4p+UAAAeDVCKQ9oN3t1g+37wJPDG2zfAAAAbpOdXRE+VYZQNfWDSko6G0LRDwoAgEaFUAoAAACet3t3RQBVGULV1A/q3BCKflAAADRqhFIAAADwvD/8oeKSvEo+PtJ1150NoOgHBQDAZYdQCgAAAJ43ZIgUEnJ2JhT9oAAAuOwRSgEAAMDz/vIXT48AAAC4WTNPDwAAAAAAAABND6EUAAAAAAAA3I5QCgAAAAAAAG5HKAUAAAAAAAC3I5QCAAAAAACA2xFKAQAAAAAAwO0IpQAAAAAAAOB2hFIAAAAAAABwO0IpAAAAAAAAuB2hFAAAAAAAANyOUAoAAAAAAABuRygFAAAAAAAAtyOUAgAAAAAAgNsRSgEAAAAAAMDtCKUAAAAAAADgdoRSAAAAAAAAcDuPhlIvvvii4uLiFBAQoB49eujLL7/05HAAAAAAAADgJh4Lpd555x1NmzZNjzzyiL7++mvddNNNGjZsmA4dOuSpIQEAAAAAAMBNPBZKPffcc5owYYLuueceXXPNNVq0aJFiYmK0ZMkSTw0JAAAAAAAAbuLriRctKSlRZmamZs+e7bQ+OTlZGzdu9MSQAABoMtrNXt2g+z/w5PAG3T8AAAAuDx4JpY4dO6aysjJFRkY6rY+MjFRubm6VervdLrvd7nhss9kkSYWFhQ02xnL7Lw2274bUkOcEAHB5aOjPuIb6LKrcr2EYDbJ/NIzK94vvKAAANB11/d7mkVCqkslkcnpsGEaVdZKUlpamefPmVVkfExPTYGNrrCyLPD0CAEBT19CfRcePH5fFYmnYF4HLnDx5UhLf2wAAaIpOnjxZ6/c2j4RS4eHh8vHxqTIrKi8vr8rsKUmaM2eOpk+f7nhcXl6uEydOqFWrVtWGWN6gsLBQMTExys7OVkhIiKeH02Rw3j2D8+4ZnHfP4Lx7js1mU9u2bRUWFubpoaAeoqOjlZ2dreDgYK/93ubt+O9Ow+L8NhzObcPi/DYszu+lMQxDJ0+eVHR0dK11Hgml/P391aNHD61du1a33367Y/3atWt16623Vqk3m80ym81O61q2bNnQw3SJkJAQfoE9gPPuGZx3z+C8ewbn3XOaNfPYfVpwEZo1a6Y2bdp4ehiXBf6707A4vw2Hc9uwOL8Ni/N78eoys91jl+9Nnz5dKSkp6tmzpxISEvTKK6/o0KFDuv/++z01JAAAAAAAALiJx0Kpu+66S8ePH9djjz2mnJwcxcfH66OPPlJsbKynhgQAAAAAAAA38Wij80mTJmnSpEmeHEKDMZvNmjt3bpXLDtGwOO+ewXn3DM67Z3DePYdzj6aK3/2GxfltOJzbhsX5bVicX/cwGdxXGQAAAAAAAG5Gp1AAAAAAAAC4HaEUAAAAAAAA3I5QCgAAAAAAAG5HKNUAXnzxRcXFxSkgIEA9evTQl19+6ekhNRqpqakymUxOi9VqdWw3DEOpqamKjo5WYGCg+vXrp927dzvtw263a8qUKQoPD1dQUJBGjRqlw4cPO9Xk5+crJSVFFotFFotFKSkpKigocMcheo0vvvhCI0eOVHR0tEwmk95//32n7e4814cOHdLIkSMVFBSk8PBwTZ06VSUlJQ1x2B53ofM+fvz4Kv8O9O7d26mG814/aWlpuuGGGxQcHKyIiAjddttt2rdvn1MNv++uV5fzzu87UD8HDhzQhAkTFBcXp8DAQLVv315z587ld9mFnnjiCSUmJqp58+Zq2bKlp4fT6PH/RQ3jQt8ncfHq8v0FrkUo5WLvvPOOpk2bpkceeURff/21brrpJg0bNkyHDh3y9NAajS5duignJ8ex7Ny507FtwYIFeu6557R48WJt3bpVVqtVgwcP1smTJx0106ZN08qVK7VixQplZGTo1KlTGjFihMrKyhw1Y8eO1Y4dO5Senq709HTt2LFDKSkpbj1OTysqKlL37t21ePHiare761yXlZVp+PDhKioqUkZGhlasWKF3331XM2bMaLiD96ALnXdJGjp0qNO/Ax999JHTds57/axfv14PPvigNm/erLVr1+rMmTNKTk5WUVGRo4bfd9ery3mX+H0H6uO7775TeXm5Xn75Ze3evVsLFy7USy+9pIcfftjTQ7tslJSU6M4779QDDzzg6aE0evx/UcOpy/dJXJy6fn+BCxlwqRtvvNG4//77ndZdffXVxuzZsz00osZl7ty5Rvfu3avdVl5eblitVuPJJ590rDt9+rRhsViMl156yTAMwygoKDD8/PyMFStWOGp++ukno1mzZkZ6erphGIaxZ88eQ5KxefNmR82mTZsMScZ3333XAEfl/SQZK1eudDx257n+6KOPjGbNmhk//fSTo+btt982zGazYbPZGuR4vcX5590wDGPcuHHGrbfeWuNzOO+XLi8vz5BkrF+/3jAMft/d5fzzbhj8vgOusGDBAiMuLs7Tw7jsvPbaa4bFYvH0MBo1/r/IPar7PgnXqe77C1yLmVIuVFJSoszMTCUnJzutT05O1saNGz00qsZn//79io6OVlxcnH7961/r3//+tyQpKytLubm5TufXbDarb9++jvObmZmp0tJSp5ro6GjFx8c7ajZt2iSLxaJevXo5anr37i2LxcL79B/uPNebNm1SfHy8oqOjHTVDhgyR3W5XZmZmgx6nt/r8888VERGhjh07auLEicrLy3Ns47xfOpvNJkkKCwuTxO+7u5x/3ivx+w5cGpvNVuXfK8DT+P8iXC5q+v4C1yGUcqFjx46prKxMkZGRTusjIyOVm5vroVE1Lr169dKyZcv08ccf6+9//7tyc3OVmJio48ePO85hbec3NzdX/v7+Cg0NrbUmIiKiymtHRETwPv2HO891bm5uldcJDQ2Vv79/k3w/hg0bpjfffFOffvqpnn32WW3dulUDBgyQ3W6XxHm/VIZhaPr06UpKSlJ8fLwkft/dobrzLvH7DlyqH3/8Uc8//7zuv/9+Tw8FcML/F+FyUNP3F7iWr6cHcDkymUxOjw3DqLIO1Rs2bJjj565duyohIUHt27fX66+/7mh+ezHn9/ya6up5n6py17nm/TjrrrvucvwcHx+vnj17KjY2VqtXr9bo0aNrfB7nvW4mT56sb7/9VhkZGVW28fvecGo67/y+AxVSU1M1b968Wmu2bt2qnj17Oh7//PPPGjp0qO68807dc889DT3ERu1izi9cg/8vQmNW2/dGuA4zpVwoPDxcPj4+VdL/vLy8Kn8lQN0EBQWpa9eu2r9/v+MufLWdX6vVqpKSEuXn59dac+TIkSqvdfToUd6n/3DnubZarVVeJz8/X6WlpbwfkqKiohQbG6v9+/dL4rxfiilTpujDDz/UZ599pjZt2jjW8/vesGo679Xh9x1N1eTJk7V3795al3P/Sv/zzz+rf//+SkhI0CuvvOLBkTcO9T2/uHT8fxEau/p8f8GlIZRyIX9/f/Xo0UNr1651Wr927VolJiZ6aFSNm91u1969exUVFaW4uDhZrVan81tSUqL169c7zm+PHj3k5+fnVJOTk6Ndu3Y5ahISEmSz2bRlyxZHzVdffSWbzcb79B/uPNcJCQnatWuXcnJyHDVr1qyR2WxWjx49GvQ4G4Pjx48rOztbUVFRkjjvF8MwDE2ePFnvvfeePv30U8XFxTlt5/e9YVzovFeH33c0VeHh4br66qtrXQICAiRJP/30k/r166frr79er732mpo14+v8hdTn/MI1/n979x4UVfnGAfy7XF0uktImd7QQlJuKBomjCBo3MQxUZkVBaUJLNAzHasjbOCmWJKNT/lPBH5g6BjEMCqMwUAmEIhe5GasgpEMaiKWiKLvv74+GMxGI4E+WtO9nZmeW877nPc8+uzucfeZ9z+HvInpWPcn5C/2ftHZJ9f+Io0ePCn19ffH111+L+vp6ER8fL4yNjcWVK1dGO7RnQkJCgigqKhJNTU3i559/FiEhIcLU1FTKX1JSkjAzMxOZmZmipqZGKJVKYWlpKf78809pjHXr1gkbGxuRn58vKioqhJ+fn5g2bZro6emR+gQGBgp3d3dRWloqSktLhZubmwgJCdH66x1Nt2/fFpWVlaKyslIAEJ9//rmorKwULS0tQgjt5bqnp0e4urqKBQsWiIqKCpGfny9sbGxEXFyc9pKhRYPl/fbt2yIhIUGUlJSI5uZmUVhYKGbPni2sra2Z9//DO++8I8zMzERRUZFoa2uTHl1dXVIfft6fvsflnZ93ouG7du2acHBwEH5+fuLq1at9vlv0dLS0tIjKykqxc+dOYWJiIv3Pvn379miH9szh76KR87jzeHpyQzlvpKeLRakR8MUXXwh7e3thYGAgPDw8ePvIYYiIiBCWlpZCX19fWFlZibCwMFFXVye1azQasX37dmFhYSEMDQ3FvHnzRE1NTZ8x7t27J+Li4sT48eOFXC4XISEhorW1tU+fjo4OERkZKUxNTYWpqamIjIwUnZ2d2niJ/xqFhYUCQL9HdHS0EEK7uW5paRGLFi0ScrlcjB8/XsTFxYn79++P5MsfNYPlvaurS/j7+wuFQiH09fWFnZ2diI6O7pdT5n14Bso3AJGamir14ef96Xtc3vl5Jxq+1NTUR3636OmIjo4eML+FhYWjHdozib+LRsbjzuPpyQ3lvJGeLpkQQozABCwiIiIiIiIiIqJH4iJ0IiIiIiIiIiLSOhaliIiIiIiIiIhI61iUIiIiIiIiIiIirWNRioiIiIiIiIiItI5FKSIiIiIiIiIi0joWpYiIiIiIiIiISOtYlCIiIiIiIiIiIq1jUYqIiIiIiIiIiLSORSkiIiIiIqIRcOXKFchkMlRVVY12KMMyceJEpKSkPLXx5s+fj/j4+Kc23miSyWTIysoC8Oy+v0T/JixKERERERERDZNMJhv0sXr16tEO8bHS0tLwwgsv9Nt+7tw5xMbGajWWe/fuYfv27XBycoKhoSFefPFFLF26FHV1dVqNo9eOHTswffr0ftvb2toQFBSk/YCInlN6ox0AERERERHRs6atrU16fuzYMWzbtg2//PKLtE0ul6Ozs3M0QoNarYZMJoOOzpPNQVAoFE85osF1d3dj4cKFaG1tRXJyMry8vHD9+nXs2bMHXl5eyM/Px2uvvabVmB7FwsJitEMgeq5wphQREREREdEwWVhYSA8zMzPIZLJ+23o1NTXB19cXRkZGmDZtGkpLS/uMVVJSgnnz5kEul8PW1hYbN27E3bt3pfbOzk5ERUVh3LhxMDIyQlBQEFQqldTeO+MpJycHzs7OMDQ0REtLCx48eIAtW7bA2toaxsbG8PLyQlFREQCgqKgIa9aswR9//CHN7tqxYweA/sv3bt26hdjYWEyYMAFjxoyBq6srcnJyAAAdHR1QKpWwsbGBkZER3NzccOTIkWHlMiUlBaWlpcjJycHy5cthb28PT09PZGRkYOrUqXjrrbcghAAw8FLAJUuW9JmZlp6ejlmzZsHU1BQWFhZYsWIFbty4IbUXFRVBJpOhoKAAs2bNgpGREby9vaWiYlpaGnbu3Inq6mopN2lpaQD6Lt8bSH19PYKDg2FiYoIJEyZg1apVaG9vl9q/++47uLm5QS6Xw9zcHAsXLuzzXhP917AoRURERERENIISExOxefNmVFVVwdHREUqlEj09PQCAmpoaBAQEICwsDBcuXMCxY8dw5swZxMXFSfuvXr0a5eXlyM7ORmlpKYQQCA4OxsOHD6U+XV1d2LNnD7766ivU1dXhpZdewpo1a1BcXIyjR4/iwoULWLZsGQIDA6FSqeDt7Y2UlBSMHTsWbW1taGtrw+bNm/vFrtFoEBQUhJKSEqSnp6O+vh5JSUnQ1dUFANy/fx8zZ85ETk4OamtrERsbi1WrVqGsrGzI+fn222/x+uuvY9q0aX226+joYNOmTaivr0d1dfWQx3vw4AF27dqF6upqZGVlobm5ecDllImJiUhOTkZ5eTn09PQQExMDAIiIiEBCQgJcXFyk3ERERDz2uG1tbfDx8cH06dNRXl6OvLw8XL9+HcuXL5falUolYmJi0NDQgKKiIoSFhUkFN6L/Ii7fIyIiIiIiGkGbN2/GokWLAAA7d+6Ei4sLLl26hClTpuCzzz7DihUrpNk/kydPxoEDB+Dj44NDhw7h119/RXZ2NoqLi+Ht7Q0AOHz4MGxtbZGVlYVly5YBAB4+fIgvv/xSKuxcvnwZR44cwdWrV2FlZSXFkZeXh9TUVOzevbvPDK9Hyc/Px9mzZ9HQ0ABHR0cAwMsvvyy1W1tb9ylmbdiwAXl5eTh+/Di8vLyGlJ/Gxkb4+voO2DZ16lSpz0DXeBpIb3GpN9YDBw7A09MTd+7cgYmJidT2ySefwMfHBwDw4YcfYtGiRbh//z7kcjlMTEygp6c3rOV6hw4dgoeHB3bv3i1t++abb2Bra4vGxkbcuXMHPT09CAsLg729PQDAzc1tyOMTPY9YlCIiIiIiIhpB7u7u0nNLS0sAwI0bNzBlyhScP38ely5dwuHDh6U+QghoNBo0NzdDpVJBT0+vT4HH3NwcTk5OaGhokLYZGBj0OU5FRQWEEFIhqVd3dzfMzc2HHHtVVRVsbGz6jdNLrVYjKSkJx44dw7Vr19Dd3Y3u7m4YGxsP+RiD6Z1FZGBgMOR9KisrsWPHDlRVVeHmzZvQaDQAgNbWVjg7O0v9HvW+2NnZPVGs58+fR2FhYZ/CV6/Lly/D398fCxYsgJubGwICAuDv74+lS5di3LhxT3Q8oucBi1JEREREREQjSF9fX3ouk8kAQCqUaDQarF27Fhs3buy3n52dHRobGwccUwghjQX8dWH1v/+t0Wigq6uL8+fPS0vteg1UNHkUuVw+aHtycjL279+PlJQUuLm5wdjYGPHx8Xjw4MGQjzF58mTU19cP2Hbx4kUAkIpiOjo6/Za7/X0Z4927d+Hv7w9/f3+kp6dDoVCgtbUVAQEB/WIa7H15EhqNBosXL8bevXv7tVlaWkJXVxenT59GSUkJTp06hYMHDyIxMRFlZWWYNGnSEx+X6FnGohQREREREdEo8fDwQF1dHRwcHAZsd3Z2Rk9PD8rKyqTlex0dHWhsbJSWtg1kxowZUKvVuHHjBubOnTtgHwMDA6jV6kHjc3d3x9WrV9HY2DjgbKmffvoJoaGhWLlyJYC/CjMqlWrQ2P5JqVQiMTER1dXVfa4rpdFosH//fsyaNUua4aRQKPrc+VCtVqO2tlZa/nfx4kW0t7cjKSkJtra2AIDy8vIhx9JrKLn5Jw8PD2RkZGDixInQ0xv4p7ZMJsOcOXMwZ84cbNu2Dfb29vj+++/x/vvvDztGoucBL3ROREREREQ0Sj744AOUlpZi/fr1qKqqgkqlQnZ2NjZs2ADgr1lEoaGhePvtt3HmzBlUV1dj5cqVsLa2Rmho6CPHdXR0RGRkJKKiopCZmYnm5macO3cOe/fuxcmTJwH8dZe9O3fuoKCgAO3t7ejq6uo3jo+PD+bNm4fw8HCcPn0azc3NyM3NRV5eHgDAwcFBmv3T0NCAtWvX4rfffhtWDjZt2gRPT08sXrwYx48fR2trK86dO4fw8HCoVCrpzncA4OfnhxMnTuDEiRO4ePEi3n33Xdy6dUtqt7Ozg4GBAQ4ePIimpiZkZ2dj165dw4qnNzfNzc2oqqpCe3s7uru7H7vP+vXrcfPmTSiVSpw9exZNTU04deoUYmJioFarUVZWht27d6O8vBytra3IzMzE77//PqwCHtHzhkUpIiIiIiKiUeLu7o4ffvgBKpUKc+fOxYwZM7B161bpGkcAkJqaipkzZyIkJASzZ8+GEAInT57ss/xsIKmpqYiKikJCQgKcnJzwxhtvoKysTJpB5O3tjXXr1iEiIgIKhQKffvrpgONkZGTg1VdfhVKphLOzM7Zs2SLNItq6dSs8PDwQEBCA+fPnw8LCAkuWLBlWDsaMGYOCggJERUXho48+wiuvvAJPT0/U1taitrYWLi4uUt+YmBhER0cjKioKPj4+mDRpUp+LpCsUCqSlpeH48eNwdnZGUlIS9u3bN6x4ACA8PByBgYHw9fWFQqHAkSNHHruPlZUViouLoVarERAQAFdXV7z33nswMzODjo4Oxo4dix9//BHBwcFwdHTExx9/jOTkZAQFBQ07PqLnhUzw/pNERERERET0L5Kbm4s333wT+/btQ1xc3GiHQ0QjhDOliIiIiIiI6F8lKCgIubm5uHnzJtrb20c7HCIaIZwpRUREREREREREWseZUkREREREREREpHUsShERERERERERkdaxKEVERERERERERFrHohQREREREREREWkdi1JERERERERERKR1LEoREREREREREZHWsShFRERERERERERax6IUERERERERERFpHYtSRERERERERESkdSxKERERERERERGR1v0Pg4Yqz1rEk84AAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "(0.9483922470520018,\n", " \n", " \"\"\"\n", " OLS Regression Results \n", " ===============================================================================\n", " Dep. Variable: Yearly Amount Spent R-squared: 0.022\n", " Model: OLS Adj. R-squared: 0.009\n", " Method: Least Squares F-statistic: 1.737\n", " Date: Thu, 19 Sep 2024 Prob (F-statistic): 0.125\n", " Time: 18:27:42 Log-Likelihood: -3375.9\n", " No. Observations: 396 AIC: 6764.\n", " Df Residuals: 390 BIC: 6788.\n", " Df Model: 5 \n", " Covariance Type: nonrobust \n", " ========================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", " ----------------------------------------------------------------------------------------\n", " const 6567.4212 3653.222 1.798 0.073 -615.052 1.37e+04\n", " Avg. Session Length -33.0340 66.576 -0.496 0.620 -163.926 97.858\n", " Time on App -112.9915 67.271 -1.680 0.094 -245.250 19.267\n", " Time on Website -71.9705 64.615 -1.114 0.266 -199.009 55.068\n", " Length of Membership -204.1591 79.922 -2.554 0.011 -361.290 -47.028\n", " Gender_Male -332.4920 178.341 -1.864 0.063 -683.121 18.137\n", " ==============================================================================\n", " Omnibus: 922.262 Durbin-Watson: 2.072\n", " Prob(Omnibus): 0.000 Jarque-Bera (JB): 2189695.822\n", " Skew: 18.729 Prob(JB): 0.00\n", " Kurtosis: 365.361 Cond. No. 3.03e+03\n", " ==============================================================================\n", " \n", " Notes:\n", " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", " [2] The condition number is large, 3.03e+03. This might indicate that there are\n", " strong multicollinearity or other numerical problems.\n", " \"\"\")" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Step 5: Visualize the residuals to check normality and homoscedasticity\n", "residuals = modelboxCox.resid\n", "fig, ax = plt.subplots(1, 2, figsize=(12, 6))\n", "\n", "# Histogram of residuals\n", "ax[0].hist(residuals, bins=20)\n", "ax[0].set_title('Histogram of Residuals')\n", "\n", "# Q-Q plot\n", "sm.qqplot(residuals, line='s', ax=ax[1])\n", "ax[1].set_title('Q-Q Plot')\n", "\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Show lambda value of Box-Cox transformation and model summary\n", "lambda_bc, model_summary\n" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MLR_All_incl_Categorical_featuresMLR_All_features_Box_Cox_On-X
const6567.4211656567.421165
Avg. Session Length-33.034000-33.034000
Time on App-112.991482-112.991482
Time on Website-71.970542-71.970542
Length of Membership-204.159096-204.159096
Gender_Male-332.491951-332.491951
\n", "
" ], "text/plain": [ " MLR_All_incl_Categorical_features \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-X \n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 " ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get coefficients of the Box-Cox model\n", "coeff(\"MLR_All_features_Box_Cox_On-X\", modelboxCox.params)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ModelMAE_TrainMSE_TrainRMSE_TrainMAPE_TrainMAE_TestMSE_TestRMSE_TestMAPE_TestR2RAE_TrainRSE_TrainRAE_TestRSE_Test
0MLR_with_Categ_attributes236.1437621.486420e+061219.18817439.056428156.4985441288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
1MLR_Box_Cox_Transform-On-X236.1437621.486420e+061219.18817439.056428156.4985441288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
\n", "
" ], "text/plain": [ " Model MAE_Train MSE_Train RMSE_Train \\\n", "0 MLR_with_Categ_attributes 236.143762 1.486420e+06 1219.188174 \n", "1 MLR_Box_Cox_Transform-On-X 236.143762 1.486420e+06 1219.188174 \n", "\n", " MAPE_Train MAE_Test MSE_Test RMSE_Test MAPE_Test R2 \\\n", "0 39.056428 156.49854 41288.559685 203.195865 31.798621 0.021787 \n", "1 39.056428 156.49854 41288.559685 203.195865 31.798621 0.021787 \n", "\n", " RAE_Train RSE_Train RAE_Test RSE_Test \n", "0 1.659035 0.978213 2.935542 8.755543 \n", "1 1.659035 0.978213 2.935542 8.755543 " ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Get error metrics\n", "scores = get_metrics(y_train, modelboxCox.predict(X_train_boxcox), y_test, modelboxCox.predict(X_test_boxcox), \"MLR_Box_Cox_Transform-On-X\", scores)\n", "scores" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Box-Cox Transformation:\n", "#### Second Scenario: Using Box-Cox transformation on the TARGET ('y') variable ('Yearly Amount Spent')" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "# Box-Cox Transformation:\n", "from scipy import stats\n", "import statsmodels.api as sm\n", "import matplotlib.pyplot as plt\n", "\n", "# Step 1: Perform the Box-Cox transformation on the dependent variable (Yearly Amount Spent)\n", "# y_train_numeric = pd.to_numeric(y_train, errors='coerce')\n", "y_train_boxcox, lambda_bc = stats.boxcox(y_train)\n", "y_test_boxcox, lambda_bc = stats.boxcox(y_test)\n", "\n", "# Step 2: Add a constant to X for the intercept\n", "X_train_boxcox = sm.add_constant(X_train)\n", "X_test_boxcox = sm.add_constant(X_test)\n", "#+\n", "# Step 3: Fit the multiple linear regression model using the transformed y\n", "modelboxCox = sm.OLS(y_train_boxcox, X_train_boxcox).fit()\n", "\n", "# Step 4: Print the summary of the model\n", "model_summary = modelboxCox.summary()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "(0.5565590750913505,\n", " \n", " \"\"\"\n", " OLS Regression Results \n", " ==============================================================================\n", " Dep. Variable: y R-squared: 0.725\n", " Model: OLS Adj. R-squared: 0.721\n", " Method: Least Squares F-statistic: 205.4\n", " Date: Thu, 19 Sep 2024 Prob (F-statistic): 7.09e-107\n", " Time: 18:28:21 Log-Likelihood: 2485.6\n", " No. Observations: 396 AIC: -4959.\n", " Df Residuals: 390 BIC: -4935.\n", " Df Model: 5 \n", " Covariance Type: nonrobust \n", " ========================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", " ----------------------------------------------------------------------------------------\n", " const 1.1357 0.001 833.437 0.000 1.133 1.138\n", " Avg. Session Length 0.0002 2.48e-05 9.950 0.000 0.000 0.000\n", " Time on App 0.0003 2.51e-05 13.597 0.000 0.000 0.000\n", " Time on Website 2.917e-06 2.41e-05 0.121 0.904 -4.45e-05 5.03e-05\n", " Length of Membership 0.0006 2.98e-05 18.664 0.000 0.000 0.001\n", " Gender_Male -8.175e-05 6.65e-05 -1.229 0.220 -0.000 4.9e-05\n", " ==============================================================================\n", " Omnibus: 714.097 Durbin-Watson: 2.184\n", " Prob(Omnibus): 0.000 Jarque-Bera (JB): 569126.373\n", " Skew: 10.767 Prob(JB): 0.00\n", " Kurtosis: 187.469 Cond. No. 3.03e+03\n", " ==============================================================================\n", " \n", " Notes:\n", " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", " [2] The condition number is large, 3.03e+03. This might indicate that there are\n", " strong multicollinearity or other numerical problems.\n", " \"\"\")" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Step 5: Visualize the residuals to check normality and homoscedasticity\n", "residuals = modelboxCox.resid\n", "fig, ax = plt.subplots(1, 2, figsize=(12, 6))\n", "\n", "# Histogram of residuals\n", "ax[0].hist(residuals, bins=20)\n", "ax[0].set_title('Histogram of Residuals')\n", "\n", "# Q-Q plot\n", "sm.qqplot(residuals, line='s', ax=ax[1])\n", "ax[1].set_title('Q-Q Plot')\n", "\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Show lambda value of Box-Cox transformation and model summary\n", "lambda_bc, model_summary\n" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MLR_All_incl_Categorical_featuresMLR_All_features_Box_Cox_On-XMLR_All_features_Box_Cox_On-y
const6567.4211656567.4211651.135659
Avg. Session Length-33.034000-33.0340000.000247
Time on App-112.991482-112.9914820.000341
Time on Website-71.970542-71.9705420.000003
Length of Membership-204.159096-204.1590960.000556
Gender_Male-332.491951-332.491951-0.000082
\n", "
" ], "text/plain": [ " MLR_All_incl_Categorical_features \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-X \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-y \n", "const 1.135659 \n", "Avg. Session Length 0.000247 \n", "Time on App 0.000341 \n", "Time on Website 0.000003 \n", "Length of Membership 0.000556 \n", "Gender_Male -0.000082 " ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get coefficients of the Box-Cox model\n", "coeff(\"MLR_All_features_Box_Cox_On-y\", modelboxCox.params)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ModelMAE_TrainMSE_TrainRMSE_TrainMAPE_TrainMAE_TestMSE_TestRMSE_TestMAPE_TestR2RAE_TrainRSE_TrainRAE_TestRSE_Test
0MLR_with_Categ_attributes236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
1MLR_Box_Cox_Transform-On-X236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
2MLR_Box_Cox_Transform-On-y0.0001642.067951e-070.0004550.01428554.5199272991.25040154.69232597.9214570.7247610.2598430.27523916.181541158.827271
\n", "
" ], "text/plain": [ " Model MAE_Train MSE_Train RMSE_Train \\\n", "0 MLR_with_Categ_attributes 236.143762 1.486420e+06 1219.188174 \n", "1 MLR_Box_Cox_Transform-On-X 236.143762 1.486420e+06 1219.188174 \n", "2 MLR_Box_Cox_Transform-On-y 0.000164 2.067951e-07 0.000455 \n", "\n", " MAPE_Train MAE_Test MSE_Test RMSE_Test MAPE_Test R2 \\\n", "0 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "1 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "2 0.014285 54.519927 2991.250401 54.692325 97.921457 0.724761 \n", "\n", " RAE_Train RSE_Train RAE_Test RSE_Test \n", "0 1.659035 0.978213 2.935542 8.755543 \n", "1 1.659035 0.978213 2.935542 8.755543 \n", "2 0.259843 0.275239 16.181541 158.827271 " ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Get error metrics\n", "scores = get_metrics(y_train_boxcox, modelboxCox.predict(X_train_boxcox), y_test_boxcox, modelboxCox.predict(X_test_boxcox), \"MLR_Box_Cox_Transform-On-y\", scores)\n", "scores" ] }, { "cell_type": "markdown", "metadata": { "id": "xFcce9T4u5IY" }, "source": [ "## Check for Linearity\n" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "4biBpZCNJHQX" }, "outputs": [], "source": [ "from scipy import stats\n", "#definition of residual plots function\n", "def residual_plots(results):\n", " import matplotlib.pyplot as plt\n", " import statsmodels.formula.api as smf\n", " from statsmodels.nonparametric.smoothers_lowess import lowess\n", " from scipy import stats\n", " import statsmodels.api as sm\n", "\n", "\n", " fig, ax = plt.subplots(2,2,figsize=(14,10))\n", " ########## Residuals vs fitted ##########\n", " residuals = results.resid\n", " fitted = results.fittedvalues\n", " smoothed = lowess(residuals,fitted)\n", " top3 = abs(residuals).sort_values(ascending = False)[:3]\n", "\n", " plt.rcParams.update({'font.size': 10})\n", " plt.rcParams[\"figure.figsize\"] = (8,7)\n", "\n", " ax[0,0].scatter(fitted, residuals, edgecolors = 'k', facecolors = (0, 0, 1, 0.5))\n", " ax[0,0].plot(smoothed[:,0],smoothed[:,1],color = 'r')\n", " ax[0,0].set_ylabel('Residuals')\n", " ax[0,0].set_xlabel('Fitted Values (Predicted Values)')\n", " ax[0,0].set_title('Residuals vs. Fitted')\n", " ax[0,0].plot([min(fitted),max(fitted)],[0,0],color = 'k',linestyle = ':', alpha = .3)\n", "\n", " for i in top3.index:\n", " ax[0,0].annotate(i,xy=(fitted[i],residuals[i]))\n", "\n", " #plt.show()\n", "\n", "\n", " ######### Normal qq plot ###########\n", " sorted_student_residuals = pd.Series(results.get_influence().resid_studentized_internal)\n", " sorted_student_residuals.index = results.resid.index\n", " sorted_student_residuals = sorted_student_residuals.sort_values(ascending = True)\n", " df = pd.DataFrame(sorted_student_residuals)\n", " df.columns = ['sorted_student_residuals']\n", " df['theoretical_quantiles'] = stats.probplot(df['sorted_student_residuals'], dist = 'norm', fit = False)[0]\n", " rankings = abs(df['sorted_student_residuals']).sort_values(ascending = False)\n", " top3 = rankings[:3]\n", "\n", " #fig, ax = plt.subplots()\n", " x = df['theoretical_quantiles']\n", " y = df['sorted_student_residuals']\n", " ax[0,1].scatter(x,y, edgecolor = 'k',facecolor = (0, 0, 1, 0.5))\n", " ax[0,1].set_title('Normal Q-Q')\n", " ax[0,1].set_ylabel('Standardized Residuals')\n", " ax[0,1].set_xlabel('Theoretical Quantiles')\n", " ax[0,1].plot([np.min([x,y]),np.max([x,y])],[np.min([x,y]),np.max([x,y])], color = 'r', ls = '--')\n", " for val in top3.index:\n", " ax[0,1].annotate(val,xy=(df['theoretical_quantiles'].loc[val],df['sorted_student_residuals'].loc[val]))\n", " #plt.show()\n", "\n", "\n", " ######### Homoscedasticity ############\n", " student_residuals = results.get_influence().resid_studentized_internal\n", " sqrt_student_residuals = pd.Series(np.sqrt(np.abs(student_residuals)))\n", " sqrt_student_residuals.index = results.resid.index\n", " smoothed = lowess(sqrt_student_residuals,fitted)\n", " top3 = abs(sqrt_student_residuals).sort_values(ascending = False)[:3]\n", "\n", " #fig, ax = plt.subplots()\n", " ax[1,0].scatter(fitted, sqrt_student_residuals, edgecolors = 'k', facecolors = (0, 0, 1, 0.5))\n", " ax[1,0].plot(smoothed[:,0],smoothed[:,1],color = 'r', label='LOESS Smoothing Line (Trend Line)')\n", " ax[1,0].set_ylabel('$\\sqrt{|Studentized \\ Residuals|}$')\n", " ax[1,0].set_xlabel('Fitted Values (Predicted Values)')\n", " ax[1,0].set_title('Scale-Location/Spread-Location (Constant Variance of Residuals)')\n", " ax[1,0].set_ylim(0,max(sqrt_student_residuals)+0.1)\n", " for i in top3.index:\n", " ax[1,0].annotate(i,xy=(fitted[i],sqrt_student_residuals[i]))\n", " #plt.show()\n", "\n", "\n", " ######### Cooks distance ###########\n", " student_residuals = pd.Series(results.get_influence().resid_studentized_internal)\n", " student_residuals.index = results.resid.index\n", " df = pd.DataFrame(student_residuals)\n", " df.columns = ['student_residuals']\n", " df['leverage'] = results.get_influence().hat_matrix_diag\n", " smoothed = lowess(df['student_residuals'],df['leverage'])\n", " sorted_student_residuals = abs(df['student_residuals']).sort_values(ascending = False)\n", " top3 = sorted_student_residuals[:3]\n", "\n", " #fig, ax = plt.subplots()\n", " x = df['leverage']\n", " y = df['student_residuals']\n", " xpos = max(x)+max(x)*0.01\n", " ax[1,1].scatter(x, y, edgecolors = 'k', facecolors = (0, 0, 1, 0.5))\n", " ax[1,1].plot(smoothed[:,0],smoothed[:,1],color = 'g')\n", " ax[1,1].set_ylabel('Studentized Residuals')\n", " ax[1,1].set_xlabel('Leverage')\n", " ax[1,1].set_title('Residuals vs. Leverage')\n", " ax[1,1].set_ylim(min(y)-min(y)*0.15,max(y)+max(y)*0.15)\n", " ax[1,1].set_xlim(-0.01,max(x)+max(x)*0.05)\n", " plt.tight_layout()\n", " for val in top3.index:\n", " ax[1,1].annotate(val,xy=(x.loc[val],y.loc[val]))\n", "\n", " cooksx = np.linspace(min(x), xpos, 50)\n", " p = len(results.params)\n", " poscooks1y = np.sqrt((p*(1-cooksx))/cooksx)\n", " poscooks05y = np.sqrt(0.5*(p*(1-cooksx))/cooksx)\n", " negcooks1y = -np.sqrt((p*(1-cooksx))/cooksx)\n", " negcooks05y = -np.sqrt(0.5*(p*(1-cooksx))/cooksx)\n", "\n", " ax[1,1].plot(cooksx,poscooks1y,label = \"Cook's Distance\", ls = ':', color = 'r')\n", " ax[1,1].plot(cooksx,poscooks05y, ls = ':', color = 'r')\n", " ax[1,1].plot(cooksx,negcooks1y, ls = ':', color = 'r')\n", " ax[1,1].plot(cooksx,negcooks05y, ls = ':', color = 'r')\n", " ax[1,1].plot([0,0],ax[1,1].get_ylim(), ls=\":\", alpha = .3, color = 'k')\n", " ax[1,1].plot(ax[1,1].get_xlim(), [0,0], ls=\":\", alpha = .3, color = 'k')\n", " ax[1,1].annotate('1.0', xy = (xpos, poscooks1y[-1]), color = 'r')\n", " ax[1,1].annotate('0.5', xy = (xpos, poscooks05y[-1]), color = 'r')\n", " ax[1,1].annotate('1.0', xy = (xpos, negcooks1y[-1]), color = 'r')\n", " ax[1,1].annotate('0.5', xy = (xpos, negcooks05y[-1]), color = 'r')\n", " ax[1,1].legend()\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "1Mp-JzAsu5IZ" }, "source": [ "### Residuals Analysis - Residuals-vs-Fitted, QQ Plot, Scale-Location, Residuals-vs-Leverage " ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 730 }, "executionInfo": { "elapsed": 2496, "status": "ok", "timestamp": 1656585135440, "user": { "displayName": "జగన్నాధ రావు బాస", "userId": "11285849713500739157" }, "user_tz": -330 }, "id": "vRvDN7wtcXq4", "outputId": "e3c600bf-d9e2-4615-f882-5ad0638de277" }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#residual_plots(multiple_reg) #replace with your model name\n", " # get residual plots of model\n", "\n", "\n", "residual_plots(multiple_reg_Cat)\n", "# Residuals vs Fitted plot analyis: The residuals should be randomly scattered around the centerline of 0. \n", "# Linearity: Residuals spread randomly across the range of fitted values without a clear pattern, \n", "# indicating that the model is likely linear.\n", "# Homoscedasticity: Residuals have a relatively constant spread across the fitted values, with no evident \"fanning\" pattern. \n", "# This suggests that the model does not have severe issues with heteroscedasticity.\n", "# Independence of Errors: Residuals appear to be randomly scattered around the horizontal axis (at 0) \n", "# with no discernible pattern or systematic trend, indicating that the residuals may be independent.\n", "# No Clustering: There is no visible grouping or correlation between the residuals and fitted values. \n", "# If there were patterns like a funnel shape, waves, or clustering, it would suggest a violation of independence.\n", " \n", "\n", "# Q-Q plot analysis:\n", "# Overprediction: Points in the tails of the Q-Q plot will deviate from the reference line. \n", "# In the left tail, points are above the line, and in the right tail, points are below the line.\n", "# Underprediction: Points in the tails will also deviate from the reference line, but in the opposite manner. \n", "# In the left tail, points are below the line, and in the right tail, points are above the line.\n", "\n", "# Homescedasticity/Heteroscedasticity:\n", "# Plot shows \"U-shaped\" pattern, where residuals start higher on the left, decrease in the middle, and increase again on the right.\n", "# This pattern indicates HETEROSCEDASTICITY, meaning the variance of the residuals is not constant across the range of fitted values.\n", "# FOR HOMOSCEDASTICITY, The residuals are spread evenly across the range of fitted (predicted) values, with no clear pattern \n", "# (i.e., the residuals should not fan out or funnel as you move along the x-axis).\n", "\n", "# RESIDUALS VS LEVERAGE:\n", "# Outliers: The point with a very large studentized residual is a likely outlier.\n", "# Leverage: There aren’t any extreme leverage points, suggesting that most data points are not far from the mean of the independent variables.\n", "# Influential points: The point near the Cook’s Distance contour of 1 (possibly 499) is potentially influential \n", "# and may be unduly affecting the model." ] }, { "cell_type": "markdown", "metadata": { "id": "MF6TxZ9qu5IZ" }, "source": [ "### MLR By Removing Influential Points:" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "from statsmodels.stats.outliers_influence import OLSInfluence" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 300 }, "executionInfo": { "elapsed": 10, "status": "ok", "timestamp": 1656586449324, "user": { "displayName": "జగన్నాధ రావు బాస", "userId": "11285849713500739157" }, "user_tz": -330 }, "id": "fg-sP51Pu5Ia", "outputId": "7059f6a4-0bd8-4763-ca81-385397972dfa" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
0
count396.000000
mean1.810042
std49.773739
min-48.959830
25%-2.310583
50%-0.636363
75%0.860251
max973.288859
\n", "
" ], "text/plain": [ " 0\n", "count 396.000000\n", "mean 1.810042\n", "std 49.773739\n", "min -48.959830\n", "25% -2.310583\n", "50% -0.636363\n", "75% 0.860251\n", "max 973.288859" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get the influence statistics for the model such as Cook's distance, leverage, DFFITS, Studentized residuals, etc.\n", "influence_points = OLSInfluence(multiple_reg_Cat) # results is output from the MLR using all attributes model built earlier\n", "pd.DataFrame(influence_points.influence).describe()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dfb_constdfb_Avg. Session Lengthdfb_Time on Appdfb_Time on Websitedfb_Length of Membershipdfb_Gender_Malecooks_dstandard_residhat_diagdffits_internalstudent_residdffits
216-0.0109630.0107370.0137700.0008000.0048860.0151390.000073-0.1810880.013260-0.020992-0.180863-0.020966
47-0.0024980.0039280.0002860.0001220.000174-0.0000210.0000030.0271040.0267360.0044920.0270690.004486
400.004324-0.0047960.005522-0.0052540.012668-0.0005320.0000790.1957200.0122630.0218080.1954780.021781
165-0.0027430.003821-0.0009420.0004860.0021240.0042630.000008-0.0657590.010366-0.006730-0.065675-0.006721
\n", "
" ], "text/plain": [ " dfb_const dfb_Avg. Session Length dfb_Time on App dfb_Time on Website \\\n", "216 -0.010963 0.010737 0.013770 0.000800 \n", "47 -0.002498 0.003928 0.000286 0.000122 \n", "40 0.004324 -0.004796 0.005522 -0.005254 \n", "165 -0.002743 0.003821 -0.000942 0.000486 \n", "\n", " dfb_Length of Membership dfb_Gender_Male cooks_d standard_resid \\\n", "216 0.004886 0.015139 0.000073 -0.181088 \n", "47 0.000174 -0.000021 0.000003 0.027104 \n", "40 0.012668 -0.000532 0.000079 0.195720 \n", "165 0.002124 0.004263 0.000008 -0.065759 \n", "\n", " hat_diag dffits_internal student_resid dffits \n", "216 0.013260 -0.020992 -0.180863 -0.020966 \n", "47 0.026736 0.004492 0.027069 0.004486 \n", "40 0.012263 0.021808 0.195478 0.021781 \n", "165 0.010366 -0.006730 -0.065675 -0.006721 " ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "influence_points.summary_frame().head(4)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "id": "5y5oweACAaJ9" }, "outputs": [ { "data": { "text/plain": [ "(40 2.966878\n", " 60 1.345674\n", " 57 1.555336\n", " 286 1.388654\n", " 251 2.158324\n", " ... \n", " 7 13.220002\n", " 44 1.366239\n", " 331 1.259339\n", " 342 1.979083\n", " 13 8.158643\n", " Length: 89, dtype: float64,\n", " 89)" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "influence_points.influence[influence_points.influence>=1], len(influence_points.influence[influence_points.influence>=1])" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Avg. Session Length', 'Time on App', 'Time on Website',\n", " 'Length of Membership', 'Yearly Amount Spent', 'Gender'],\n", " dtype='object')" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Removal of influence points using influence value\n", "customersWithCategorical = customers.copy()\n", "customersWithCategorical.columns" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGenderinfluence_value
49932.83694110.25654936.1439080.78952025006.670580Male973.288859
134.60331112.20729833.9138476.922689744.221867Male113.699561
534.50755111.97540637.6357565.705154700.917092Male49.628139
034.37425815.12699437.1576245.377594765.518462Female42.516074
1133.21547212.13510137.1420945.840506663.803693Male36.183946
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "499 32.836941 10.256549 36.143908 0.789520 \n", "1 34.603311 12.207298 33.913847 6.922689 \n", "5 34.507551 11.975406 37.635756 5.705154 \n", "0 34.374258 15.126994 37.157624 5.377594 \n", "11 33.215472 12.135101 37.142094 5.840506 \n", "\n", " Yearly Amount Spent Gender influence_value \n", "499 25006.670580 Male 973.288859 \n", "1 744.221867 Male 113.699561 \n", "5 700.917092 Male 49.628139 \n", "0 765.518462 Female 42.516074 \n", "11 663.803693 Male 36.183946 " ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "influence_data_points = pd.DataFrame(influence_points.influence[influence_points.influence>=1])\n", "customersWithCategorical['influence_value']= influence_points.influence\n", "customersWithCategorical.loc[influence_data_points.index,].sort_values(['influence_value'], ascending = False).head()" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAArwAAAIhCAYAAACsQmneAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABkWElEQVR4nO3deXhM5///8ddktyUiIoktglJpLBUtib0lllKq2rR2WpVWa++C2lWUrqqonW8XPi1aVUpQSkVriaW1lBKxJJaoRKms5/eHX6ZGEiSWmYzn47rmupz73OfM+75ztC8n95wxGYZhCAAAALBTDtYuAAAAALibCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8wC2YP3++TCaTtm/fbu1SkA9NmjSRyWRSy5Yts+2LjY2VyWTSe++9Z4XK7gyTyaTRo0ebtzds2CCTyaQNGzbc0zpGjx4tk8l0T98zN1k/1/nz59+0772oOy/1IHdNmjRRkyZNrF0GCiACL4D7xurVq7V+/Xprl3HX1a5dW9HR0apdu7a1S7EaPz8/RUdH64knnrB2KQBsAIEXsEMZGRlKSUmxdhk2pUqVKqpYsaLeeOMNGYZx194nLS1N6enpd+38t8Ld3V316tWTu7u7VevIi8uXL9/R87m6uqpevXry9va+o+dF/tzpny+QVwRe4A46dOiQOnXqpFKlSsnV1VXVqlXTp59+at5/9uxZubi4aMSIEdmOPXDggEwmk6ZMmWJuS0hIUJ8+fVS2bFm5uLgoICBAY8aMsQhUWb8qnTRpksaPH6+AgAC5urrqp59+0pUrVzR48GDVqlVLHh4eKlGihEJCQvTdd99le/8LFy7ohRdeUIkSJVS0aFE98cQTOnLkSLZfl9/KOHPz8MMPq2HDhtnaMzIyVKZMGXXo0MHcNn36dNWsWVNFixZVsWLF9OCDD2rYsGE3fY/cODs765133tGOHTu0ePHim/b//fff1a5dO3l6esrNzU21atXSggULLPpkLR34v//7Pw0ePFhlypSRq6urDh8+rB49eqho0aI6cOCAWrRooSJFisjPz08TJ06UJG3dulUNGjRQkSJFVKVKlWznPnv2rF555RUFBgaqaNGiKlWqlB577DFt2rTpprVfv6Qh6xrJ7XWttWvX6vHHH5e7u7sKFy6s+vXra926ddne44cfflCtWrXk6uqqgICAPC0JadKkiYKCgvTzzz8rNDRUhQsXVq9evSRJycnJGjJkiAICAuTi4qIyZcpowIABunTpksU5vv76a9WtW1ceHh4qXLiwKlasaD7HtWO+fgnBrdR9o+UH1/99OHz4sHr27KkHHnhAhQsXVpkyZdS2bVvt3bv3pvNw9uxZvfTSSypXrpxcXV3l7e2t+vXra+3atbd9nGEYmjRpkvz9/eXm5qbatWtr1apV2ZYEZC3Xio2NtXiPnJbFREVFqV27dipbtqzc3NxUuXJl9enTR+fOnbM4NmuJyM6dO9WxY0d5enqqUqVK5rqmTZumWrVqqVChQvL09FTHjh115MgRi3PkVj+QX07WLgCwF/v27VNoaKjKly+v999/X76+vlq9erX69eunc+fOadSoUfL29labNm20YMECjRkzRg4O//2bc968eXJxcVHnzp0lXQ27jz76qBwcHDRy5EhVqlRJ0dHRGj9+vGJjYzVv3jyL958yZYqqVKmi9957T+7u7nrggQeUkpKi8+fPa8iQISpTpoxSU1O1du1adejQQfPmzVO3bt0kSZmZmWrbtq22b9+u0aNHm38lntOa11sZZ2569uyp/v3769ChQ3rggQfM7WvWrNGpU6fUs2dPSdKiRYv0yiuv6LXXXtN7770nBwcHHT58WPv27cv/D0hSeHi43nvvPb399tt6+umn5ezsnGO/gwcPKjQ0VKVKldKUKVPk5eWlzz//XD169NDp06f1xhtvWPQfOnSoQkJCNGPGDDk4OKhUqVKSrt7t7dChgyIiIvT666/ryy+/1NChQ5WcnKwlS5bozTffVNmyZfXJJ5+oR48eCgoKUnBwsCTp/PnzkqRRo0bJ19dX//zzj5YtW6YmTZpo3bp1eVrHmPXr/WudPXtWXbp0UZkyZcxtn3/+ubp166Z27dppwYIFcnZ21meffaYWLVpo9erVevzxxyVJ69atU7t27RQSEqJFixYpIyNDkyZN0unTp2+5pvj4eHXp0kVvvPGGJkyYIAcHB12+fFmNGzfWiRMnNGzYMNWoUUN//PGHRo4cqb1792rt2rUymUyKjo5WeHi4wsPDNXr0aLm5uenYsWM3Xa5yJ+q+3qlTp+Tl5aWJEyfK29tb58+f14IFC1S3bl3FxMSoatWquR7btWtX7dy5U++8846qVKmiCxcuaOfOnUpMTLzhe97KcWPGjNGYMWP0wgsvqGPHjjp+/Lh69+6tjIyMG9Z0I3/99ZdCQkL04osvysPDQ7Gxsfrggw/UoEED7d27N9vfpw4dOui5555TRESE+R8sffr00fz589WvXz+9++67On/+vMaOHavQ0FDt3r1bPj4+d61+3OcMADc1b948Q5Kxbdu2XPu0aNHCKFu2rJGUlGTR/uqrrxpubm7G+fPnDcMwjOXLlxuSjDVr1pj7pKenG6VLlzaefvppc1ufPn2MokWLGseOHbM433vvvWdIMv744w/DMAzj6NGjhiSjUqVKRmpq6g3HkZ6ebqSlpRkvvPCC8fDDD5vbf/jhB0OSMX36dIv+kZGRhiRj1KhReR5nTs6dO2e4uLgYw4YNs2h/9tlnDR8fHyMtLc18ruLFi99wLHnRuHFj46GHHjIMwzDWrl1rSDI++eQTwzD+m7/Jkyeb+z/33HOGq6urERcXZ3GeVq1aGYULFzYuXLhgGIZh/PTTT4Yko1GjRtnes3v37oYkY8mSJea2tLQ0w9vb25Bk7Ny509yemJhoODo6GoMGDcp1DFk/u8cff9x46qmnLPZd/zPKquunn37K8VyXLl0yHn30UcPPz8+IjY01t5UoUcJo27atRd+MjAyjZs2axqOPPmpuq1u3rlG6dGnj33//NbclJycbJUqUMG7lfyuNGzc2JBnr1q2zaI+MjDQcHByy/T375ptvDEnGypUrDcP47+9A1s8hJ1k/13nz5uW57pyOzXL9XF8vPT3dSE1NNR544AFj4MCBNzxn0aJFjQEDBuR6rtzc7Li///7bcHNzy3ad/PLLL4Yko3Hjxua2rP+2HT161KLvza6hzMxMIy0tzTh27Jghyfjuu+/M+0aNGmVIMkaOHGlxTHR0tCHJeP/99y3ajx8/bhQqVMh444038lw/cKtY0gDcAVeuXNG6dev01FNPqXDhwkpPTze/WrdurStXrmjr1q2SpFatWsnX19fiDu3q1at16tQpi1/JrlixQk2bNlXp0qUtzteqVStJ0saNGy1qePLJJ3O8Y/n111+rfv36Klq0qJycnOTs7Kw5c+Zo//795j5Z53r22Wctjn3++efzPc6ceHl5qW3btlqwYIEyMzMlSX///be+++47devWTU5OV3/p9Oijj+rChQt6/vnn9d1332X7lentePzxxxUWFqaxY8fq4sWLOfZZv369Hn/8cZUrV86ivUePHrp8+XK2u6VPP/10jucxmUxq3bq1edvJyUmVK1eWn5+fHn74YXN7iRIlVKpUKR07dszi+BkzZqh27dpyc3Mz/+zWrVtn8bPLq4yMDIWHh2v//v1auXKl/P39JUlbtmzR+fPn1b17d4ufa2Zmplq2bKlt27bp0qVLunTpkrZt26YOHTrIzc3NfN5ixYqpbdu2t1yHp6enHnvsMYu2FStWKCgoSLVq1bKooUWLFha/Xn/kkUckXb1e//e//+nkyZM3fb87Vff10tPTNWHCBAUGBsrFxUVOTk5ycXHRoUOHbvpzevTRRzV//nyNHz9eW7duVVpa2i29582Oi46O1pUrV8y/LcoSGhpq/nnnx5kzZxQREaFy5cqZr8es8+U01uv/XqxYsUImk0ldunSx+Pn6+vqqZs2a5p/v3aof9zcCL3AHJCYmKj09XZ988omcnZ0tXlmBJyu0OTk5qWvXrlq2bJkuXLgg6eo6Oj8/P7Vo0cJ8ztOnT+v777/Pdr6HHnrI4nxZ/Pz8stW1dOlSPfvssypTpow+//xzRUdHa9u2berVq5euXLliUb+Tk5NKlChhcXzWrxfzM87c9OrVSydPnlRUVJQk6auvvlJKSop69Ohh7tO1a1fNnTtXx44d09NPP61SpUqpbt265mNu17vvvqtz587luu40MTExx/ksXbq0ef+1cuorSYULF7YIV5Lk4uKSbZ6z2q/9mXzwwQd6+eWXVbduXS1ZskRbt27Vtm3b1LJlS/377783HuANRERE6Mcff9Q333yjWrVqmduzfq3fsWPHbD/bd999V4Zh6Pz58/r777+VmZkpX1/fbOfOqS03Oc3Z6dOntWfPnmzvX6xYMRmGYb62GjVqpG+//Vbp6enq1q2bypYtq6CgIH311Ve5vt+dqvt6gwYN0ogRI9S+fXt9//33+vXXX7Vt2zbVrFnzpj+nxYsXq3v37po9e7ZCQkJUokQJdevWTQkJCbd1XNb1eSfHmpmZqbCwMC1dulRvvPGG1q1bp99++838D9ycxnr9z/j06dMyDEM+Pj7ZfsZbt241/3zvRv0Aa3iBO8DT01OOjo7q2rWr+vbtm2OfgIAA85979uypyZMna9GiRQoPD9fy5cs1YMAAOTo6mvuULFlSNWrU0DvvvJPj+bLCV5acniP6+eefKyAgQIsXL7bYf/0THLy8vJSenq7z589bhLHr/8eb13HmpEWLFipdurTmzZunFi1aaN68eapbt64CAwMt+vXs2VM9e/bUpUuX9PPPP2vUqFFq06aN/vzzz9u+y1OrVi09//zz+uCDDyzuwGbx8vJSfHx8tvZTp05JuvqzudbdeIbr559/riZNmmj69OkW7bndlb4Vo0eP1uzZszVv3jyFhYVZ7Msa0yeffKJ69erleLyPj4/S0tJkMplyDGU3C2rXymnOSpYsqUKFCmnu3Lk5HnPtvLdr107t2rVTSkqKtm7dqsjISHXq1EkVKlRQSEhItmM9PT1vue6sf6Rc//ckp7W1WeueJ0yYYNF+7tw5FS9ePMdxXDuejz76SB999JHi4uK0fPlyvfXWWzpz5ox+/PHHfB/n5eWV47iy2ipUqHDTsV7/D9fff/9du3fv1vz589W9e3dz++HDh3Ot8/qfccmSJWUymbRp0ya5urpm65/Vlpf6gVtF4AXugMKFC6tp06aKiYlRjRo15OLicsP+1apVU926dTVv3jzzI8SyPrCVpU2bNlq5cqUqVaokT0/PfNVlMpnk4uJi8T+ehISEbE9paNy4sSZNmqTFixfr5ZdfNrcvWrTotsaZk6zA/NFHH2nTpk3avn27Pvvss1z7FylSRK1atVJqaqrat2+vP/744478WnP8+PH65ptvNGbMmGz7Hn/8cS1btkynTp2y+IfFwoULVbhw4VwD4Z1kMpmyhYI9e/YoOjo621KLWzFnzhyNGTNGY8eOtbibnqV+/foqXry49u3bp1dffTXX87i4uOjRRx/V0qVLNXnyZHNgunjxor7//vs813WtNm3aaMKECfLy8rrpP5yyuLq6qnHjxipevLhWr16tmJiYHANvkSJFbrluHx8fubm5ac+ePRbtOT3dJKef0w8//KCTJ0+qcuXKtzQGSSpfvrxeffVVrVu3Tr/88sttHVevXj25ubnpiy++sFhWsGXLFh07dswiMGb9ec+ePRYfBlu+fLnF+2T9N+T6sd7o7+712rRpo4kTJ+rkyZPZlk9dKy/1A7eKwAvkwfr167M9vkeSWrdurY8//lgNGjRQw4YN9fLLL6tChQq6ePGiDh8+rO+//z7bJ8h79eqlPn366NSpUwoNDc32yeOxY8cqKipKoaGh6tevn6pWraorV64oNjZWK1eu1IwZM1S2bNkb1tumTRstXbpUr7zyivmTzuPGjZOfn58OHTpk7teyZUvVr19fgwcPVnJysoKDgxUdHa2FCxdKksXTJPI6zpz06tVL7777rjp16qRChQopPDzcYn/v3r1VqFAh1a9fX35+fkpISFBkZKQ8PDzM6zePHTumSpUqqXv37pozZ85N3/N6AQEBevnll/Xxxx9n2zdq1CjzGuqRI0eqRIkS+uKLL/TDDz9o0qRJ8vDwyPP75VWbNm00btw4jRo1So0bN9bBgwc1duxYBQQE5Pk5v9HR0YqIiFD9+vXVvHnzbOus69Wrp6JFi+qTTz5R9+7ddf78eXXs2FGlSpXS2bNntXv3bp09e9Z8t3ncuHFq2bKlmjdvrsGDBysjI0PvvvuuihQpYn66RH4MGDBAS5YsUaNGjTRw4EDVqFFDmZmZiouL05o1azR48GDVrVtXI0eO1IkTJ/T444+rbNmyunDhgj7++GM5OzurcePGuZ7/VuvOWmc6d+5cVapUSTVr1tRvv/2mL7/8Mts527Rpo/nz5+vBBx9UjRo1tGPHDk2ePPmmfzeTkpLUtGlTderUSQ8++KCKFSumbdu26ccff7R4PF9+jvP09NSQIUM0fvx4vfjii3rmmWd0/PhxjR49OtuSgEceeURVq1bVkCFDlJ6eLk9PTy1btkybN2+26Pfggw+qUqVKeuutt2QYhkqUKKHvv/8+T8uM6tevr5deekk9e/bU9u3b1ahRIxUpUkTx8fHavHmzqlevrpdffjlP9QO3zLqfmQMKhqxPMuf2yvqE89GjR41evXoZZcqUMZydnQ1vb28jNDTUGD9+fLZzJiUlGYUKFTIkGbNmzcrxfc+ePWv069fPCAgIMJydnY0SJUoYwcHBxvDhw41//vnH/J667ikD15o4caJRoUIFw9XV1ahWrZoxa9Ys86eor3X+/HmjZ8+eRvHixY3ChQsbzZs3N7Zu3WpIMj7++GOLvnkZZ25CQ0MNSUbnzp2z7VuwYIHRtGlTw8fHx3BxcTFKly5tPPvss8aePXssapBkdO/e/abvde1TGq519uxZw93dPcf527t3r9G2bVvDw8PDcHFxMWrWrJntU/tZn2T/+uuvs527e/fuRpEiRW65Fn9/f+OJJ54wb6ekpBhDhgwxypQpY7i5uRm1a9c2vv32W6N79+6Gv7+/xbG6yVMabnb9Xmvjxo3GE088YZQoUcJwdnY2ypQpYzzxxBPZxrh8+XKjRo0ahouLi1G+fHlj4sSJOV5XOcltDgzDMP755x/j7bffNqpWrWq4uLgYHh4eRvXq1Y2BAwcaCQkJhmEYxooVK4xWrVoZZcqUMVxcXIxSpUoZrVu3NjZt2mQ+T25PWrjVupOSkowXX3zR8PHxMYoUKWK0bdvWiI2NzTbXf//9t/HCCy8YpUqVMgoXLmw0aNDA2LRpk9G4cWOLpwlcX8+VK1eMiIgIo0aNGoa7u7tRqFAho2rVqsaoUaOMS5cu5Tp3t3pcZmamERkZaZQrV85wcXExatSoYXz//ffZ6jIMw/jzzz+NsLAww93d3fD29jZee+0185Nbrn1Kw759+4zmzZsbxYoVMzw9PY1nnnnGiIuLyzYnWfN59uzZHMcwd+5co27dukaRIkWMQoUKGZUqVTK6detmbN++PV/1A7fCZBh38SuHABRoX375pTp37qxffvlFoaGh1i4HwG3Ken7ztV8oAdwPWNIAQNLVpyWcPHlS1atXl4ODg7Zu3arJkyerUaNGhF0AQIFG4AUg6erzSBctWqTx48fr0qVL8vPzU48ePTR+/HhrlwYAwG1hSQMAAADsGl88AQAAALtG4AUAAIBdI/ACAADArvGhtRxkZmbq1KlTKlas2F35ylAAAADcHsMwdPHiRZUuXdriC5JyQuDNwalTp/L11Z0AAAC4t44fP37Tbzck8OagWLFikq5OoLu7u5WrAQAAwPWSk5NVrlw5c267EQJvDrKWMbi7uxN4AQAAbNitLD+1+ofWpk2bpoCAALm5uSk4OFibNm3KtW98fLw6deqkqlWrysHBQQMGDMjWZ9asWWrYsKE8PT3l6empZs2a6bfffruLIwAAAIAts2rgXbx4sQYMGKDhw4crJiZGDRs2VKtWrRQXF5dj/5SUFHl7e2v48OGqWbNmjn02bNig559/Xj/99JOio6NVvnx5hYWF6eTJk3dzKAAAALBRVv2mtbp166p27dqaPn26ua1atWpq3769IiMjb3hskyZNVKtWLX300Uc37JeRkSFPT09NnTpV3bp1u6W6kpOT5eHhoaSkJJY0AAAA2KC85DWr3eFNTU3Vjh07FBYWZtEeFhamLVu23LH3uXz5stLS0lSiRIlc+6SkpCg5OdniBQAAAPtgtcB77tw5ZWRkyMfHx6Ldx8dHCQkJd+x93nrrLZUpU0bNmjXLtU9kZKQ8PDzMLx5JBgAAYD+s/qG16z9ZZxjGHfuyh0mTJumrr77S0qVL5ebmlmu/oUOHKikpyfw6fvz4HXl/AAAAWJ/VHktWsmRJOTo6Zrube+bMmWx3ffPjvffe04QJE7R27VrVqFHjhn1dXV3l6up62+8JAAAA22O1O7wuLi4KDg5WVFSURXtUVJRCQ0Nv69yTJ0/WuHHj9OOPP6pOnTq3dS4AAAAUbFb94olBgwapa9euqlOnjkJCQjRz5kzFxcUpIiJC0tWlBidPntTChQvNx+zatUuS9M8//+js2bPatWuXXFxcFBgYKOnqMoYRI0boyy+/VIUKFcx3kIsWLaqiRYve2wECAADA6qz6WDLp6hdPTJo0SfHx8QoKCtKHH36oRo0aSZJ69Oih2NhYbdiwwdw/p/W9/v7+io2NlSRVqFBBx44dy9Zn1KhRGj169C3VxGPJAAAAbFte8prVA68tIvACAADYtgLxHF7kX79+/VShQgWZTCb9/vvv1i4HAADAphF4C6COHTtq8+bN8vf3t3YpAAAANs+qH1pD/mStcQYAAMDNcYcXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4C6C+ffuqbNmyOnHihJo1a6bKlStbuyQAAACbxRdP5IAvngAAALBtfPEEAAAA8P8ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOyak7ULQP5E7Tut6L8SFVLJS80DfaxdDgAAgM3iDm8BFLXvtHov3K4FW2LVe+F2Re07be2SAAAAbBaBtwCK/itRjiaTMgxDjiaTth5JtHZJAAAANovAWwCFVPIyh90Mw1C9il7WLgkAAMBmsYa3AGoe6KNZ3epo65FE1avIGl4AAIAbIfAWUM0DfQi6AAAAt4AlDQAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsmtUD77Rp0xQQECA3NzcFBwdr06ZNufaNj49Xp06dVLVqVTk4OGjAgAE59luyZIkCAwPl6uqqwMBALVu27C5VDwAAAFtn1cC7ePFiDRgwQMOHD1dMTIwaNmyoVq1aKS4uLsf+KSkp8vb21vDhw1WzZs0c+0RHRys8PFxdu3bV7t271bVrVz377LP69ddf7+ZQAAAAYKNMhmEY1nrzunXrqnbt2po+fbq5rVq1amrfvr0iIyNveGyTJk1Uq1YtffTRRxbt4eHhSk5O1qpVq8xtLVu2lKenp7766qtbqis5OVkeHh5KSkqSu7v7rQ8IAAAA90Re8prV7vCmpqZqx44dCgsLs2gPCwvTli1b8n3e6OjobOds0aLFDc+ZkpKi5ORkixcAAADsg9UC77lz55SRkSEfHx+Ldh8fHyUkJOT7vAkJCXk+Z2RkpDw8PMyvcuXK5fv9AQAAYFus/qE1k8lksW0YRra2u33OoUOHKikpyfw6fvz4bb0/AAAAbIeTtd64ZMmScnR0zHbn9cyZM9nu0OaFr69vns/p6uoqV1fXfL8nAAAAbJfV7vC6uLgoODhYUVFRFu1RUVEKDQ3N93lDQkKynXPNmjW3dU4AAAAUXFa7wytJgwYNUteuXVWnTh2FhIRo5syZiouLU0REhKSrSw1OnjyphQsXmo/ZtWuXJOmff/7R2bNntWvXLrm4uCgwMFCS1L9/fzVq1Ejvvvuu2rVrp++++05r167V5s2b7/n4AAAAYH1WDbzh4eFKTEzU2LFjFR8fr6CgIK1cuVL+/v6Srn7RxPXP5H344YfNf96xY4e+/PJL+fv7KzY2VpIUGhqqRYsW6e2339aIESNUqVIlLV68WHXr1r1n4wIAAIDtsOpzeG0Vz+EFAACwbQXiObwAAADAvUDgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7JrVA++0adMUEBAgNzc3BQcHa9OmTTfsv3HjRgUHB8vNzU0VK1bUjBkzsvX56KOPVLVqVRUqVEjlypXTwIEDdeXKlbs1BAAAANgwqwbexYsXa8CAARo+fLhiYmLUsGFDtWrVSnFxcTn2P3r0qFq3bq2GDRsqJiZGw4YNU79+/bRkyRJzny+++EJvvfWWRo0apf3792vOnDlavHixhg4deq+GBQAAABtiMgzDsNab161bV7Vr19b06dPNbdWqVVP79u0VGRmZrf+bb76p5cuXa//+/ea2iIgI7d69W9HR0ZKkV199Vfv379e6devMfQYPHqzffvvtpnePsyQnJ8vDw0NJSUlyd3fP7/AAAABwl+Qlr1ntDm9qaqp27NihsLAwi/awsDBt2bIlx2Oio6Oz9W/RooW2b9+utLQ0SVKDBg20Y8cO/fbbb5KkI0eOaOXKlXriiSdyrSUlJUXJyckWLwAAANgHJ2u98blz55SRkSEfHx+Ldh8fHyUkJOR4TEJCQo7909PTde7cOfn5+em5557T2bNn1aBBAxmGofT0dL388st66623cq0lMjJSY8aMuf1BAQAAwOZY/UNrJpPJYtswjGxtN+t/bfuGDRv0zjvvaNq0adq5c6eWLl2qFStWaNy4cbmec+jQoUpKSjK/jh8/nt/hAAAAwMZY7Q5vyZIl5ejomO1u7pkzZ7Ldxc3i6+ubY38nJyd5eXlJkkaMGKGuXbvqxRdflCRVr15dly5d0ksvvaThw4fLwSF7xnd1dZWrq+udGBYAAABsjNXu8Lq4uCg4OFhRUVEW7VFRUQoNDc3xmJCQkGz916xZozp16sjZ2VmSdPny5Wyh1tHRUYZhyIqfzwMAAICVWHVJw6BBgzR79mzNnTtX+/fv18CBAxUXF6eIiAhJV5cadOvWzdw/IiJCx44d06BBg7R//37NnTtXc+bM0ZAhQ8x92rZtq+nTp2vRokU6evSooqKiNGLECD355JNydHS852MEAACAdVltSYMkhYeHKzExUWPHjlV8fLyCgoK0cuVK+fv7S5Li4+MtnskbEBCglStXauDAgfr0009VunRpTZkyRU8//bS5z9tvvy2TyaS3335bJ0+elLe3t9q2bat33nnnno8PAAAA1mfV5/DaKp7DCwAAYNsKxHN4AQAAgHuBwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdi3fgXfTpk3q0qWLQkJCdPLkSUnS//3f/2nz5s13rDgAAADgduUr8C5ZskQtWrRQoUKFFBMTo5SUFEnSxYsXNWHChDtaIAAAAHA78hV4x48frxkzZmjWrFlydnY2t4eGhmrnzp13rDgAAADgduUr8B48eFCNGjXK1u7u7q4LFy7cbk0AAADAHZOvwOvn56fDhw9na9+8ebMqVqx420UBAAAAd0q+Am+fPn3Uv39//frrrzKZTDp16pS++OILDRkyRK+88sqdrhEAAADIN6f8HPTGG28oKSlJTZs21ZUrV9SoUSO5urpqyJAhevXVV+90jQAAAEC+mQzDMPJ78OXLl7Vv3z5lZmYqMDBQRYsWvZO1WU1ycrI8PDyUlJQkd3d3a5cDAACA6+Qlr+XrDm+WwoULq06dOrdzCgAAAOCuylfgfeqpp2QymbK1m0wmubm5qXLlyurUqZOqVq162wUCAAAAtyNfH1rz8PDQ+vXrtXPnTnPwjYmJ0fr165Wenq7FixerZs2a+uWXX+5osQAAAEBe5esOr6+vrzp16qSpU6fKweFqZs7MzFT//v1VrFgxLVq0SBEREXrzzTf5qmEAAABYVb4+tObt7a1ffvlFVapUsWj/888/FRoaqnPnzmnv3r1q2LBhgfwiCj60BgAAYNvyktfytaQhPT1dBw4cyNZ+4MABZWRkSJLc3NxyXOcLAAAA3Ev5WtLQtWtXvfDCCxo2bJgeeeQRmUwm/fbbb5owYYK6desmSdq4caMeeuihO1osAAAAkFf5CrwffvihfHx8NGnSJJ0+fVqS5OPjo4EDB+rNN9+UJIWFhally5Z3rlIAAAAgH27riyekq+snJNnVWlfW8AIAANi2e/bFE5J9BV0AAADYn3wH3m+++Ub/+9//FBcXp9TUVIt9O3fuvO3CAAAAgDshX09pmDJlinr27KlSpUopJiZGjz76qLy8vHTkyBG1atXqTtcIAAAA5Fu+Au+0adM0c+ZMTZ06VS4uLnrjjTcUFRWlfv36KSkp6U7XCAAAAORbvgJvXFycQkNDJUmFChXSxYsXJV19XNlXX31156oDAAAAblO+Aq+vr68SExMlSf7+/tq6dask6ejRo8rrQx+mTZumgIAAubm5KTg4WJs2bbph/40bNyo4OFhubm6qWLGiZsyYka3PhQsX1LdvX/n5+cnNzU3VqlXTypUr81QXAAAA7EO+Au9jjz2m77//XpL0wgsvaODAgWrevLnCw8P11FNP3fJ5Fi9erAEDBmj48OGKiYlRw4YN1apVK8XFxeXY/+jRo2rdurUaNmyomJgYDRs2TP369dOSJUvMfVJTU9W8eXPFxsbqm2++0cGDBzVr1iyVKVMmP0O1WRUqVNCDDz6oWrVqqVatWlq8eLG1SwIAALBJ+XoOb2ZmpjIzM+XkdPUhD//73/+0efNmVa5cWREREXJxcbml89StW1e1a9fW9OnTzW3VqlVT+/btFRkZma3/m2++qeXLl2v//v3mtoiICO3evVvR0dGSpBkzZmjy5Mk6cOCAnJ2d8zo0SQXjObwVKlTQihUrFBQUZO1SAAAA7rm85LU83+FNT0/XuHHjFB8fb2579tlnNWXKFPXr1++Ww25qaqp27NihsLAwi/awsDBt2bIlx2Oio6Oz9W/RooW2b9+utLQ0SdLy5csVEhKivn37ysfHR0FBQZowYYIyMjJyrSUlJUXJyckWLwAAANiHPAdeJycnTZ48+YYB8lacO3dOGRkZ8vHxsWj38fFRQkJCjsckJCTk2D89PV3nzp2TJB05ckTffPONMjIytHLlSr399tt6//339c477+RaS2RkpDw8PMyvcuXK3dbY7pXOnTurevXqevHFF3X27FlrlwMAAGCT8rWGt1mzZtqwYcMdKcBkMllsG4aRre1m/a9tz8zMVKlSpTRz5kwFBwfrueee0/Dhwy2WTVxv6NChSkpKMr+OHz+e3+HcMz///LN2796tnTt3ysvLS927d7d2SQAAADYpX9+01qpVKw0dOlS///67goODVaRIEYv9Tz755E3PUbJkSTk6Oma7m3vmzJlsd3Gz+Pr65tjfyclJXl5ekiQ/Pz85OzvL0dHR3KdatWpKSEhQampqjksuXF1d5erqetOabUn58uUlSc7OzhowYICqVKli5YoAAABsU74C78svvyxJ+uCDD7LtM5lMt7TcwcXFRcHBwYqKirJ4skNUVJTatWuX4zEhISHmp0NkWbNmjerUqWP+gFr9+vX15ZdfKjMzUw4OV29g//nnn/Lz87vl9cW27tKlS0pLS1Px4sUlSV999ZUefvhh6xYFAABgo/K1pCHrKQ05vfKytnfQoEGaPXu25s6dq/3792vgwIGKi4tTRESEpKtLDbp162buHxERoWPHjmnQoEHav3+/5s6dqzlz5mjIkCHmPi+//LISExPVv39//fnnn/rhhx80YcIE9e3bNz9DtUmnT59W06ZNVaNGDVWvXl0bN27UwoULrV0WAACATcrXHd5rXblyRW5ubvk6Njw8XImJiRo7dqzi4+MVFBSklStXyt/fX5IUHx9v8UzegIAArVy5UgMHDtSnn36q0qVLa8qUKXr66afNfcqVK6c1a9Zo4MCBqlGjhsqUKaP+/fvrzTffvL2B2pCKFSsqJibG2mUAAAAUCPl6Dm9GRoYmTJigGTNm6PTp0/rzzz9VsWJFjRgxQhUqVNALL7xwN2q9ZwrCc3gBAADuZ3f1ObyS9M4772j+/PmaNGmSxbrY6tWra/bs2fk5JQAAAHBX5CvwLly4UDNnzlTnzp0tnoZQo0YNHThw4I4VBwAAANyufAXekydPqnLlytnaMzMzzd94BgAAANiCfAXehx56SJs2bcrW/vXXX/N4LAAAANiUfD2lYdSoUeratatOnjypzMxMLV26VAcPHtTChQu1YsWKO10jchC177Si/0pUSCUvNQ/M+Ys6AAAAkM+nNEjS6tWrNWHCBO3YsUOZmZmqXbu2Ro4cqbCwsDtd4z1n609piNp3Wr0XbpejyaQMw9CsbnUIvQAA4L6Sl7yW7+fwtmjRQi1atMjv4bgN0X8lmsOuo8mkrUcSCbwAAAC5yNca3p49e2rdunXK581h3KaQSl7msJthGKpX0cvaJQEAANisfN3hTUxM1BNPPCEvLy8999xz6tKlCx9Wu4eaB/poVrc62nokUfUqsoYXAADgRvK9hvfChQv63//+py+//FKbNm1S1apV1aVLF3Xq1EkVKlS4w2XeW7a+hhcAAOB+l5e8lu/Ae60TJ07oq6++0ty5c3Xo0CGlp6ff7imtisALAABg2+76VwtfKy0tTdu3b9evv/6q2NhY+fjw6/U7acyYMTKZTPr9998lSdu2bVP9+vVVo0YN1apVS+vXr892zIYNG+To6KipU6fe63IBAABsTr4D708//aTevXvLx8dH3bt3V7FixfT999/r+PHjd7K++9rOnTu1detWlS9fXpJkGIaeeuopjR8/Xnv27NGiRYvUvXt3/fvvv+ZjLl68qDfffFOtWrWyVtkAAAA2JV+Bt2zZsmrdurXOnj2rzz77TKdPn9a8efPUrFkzOTjc9k1jSEpJSVHfvn01bdo0mUwmSVc/LHj+/Hk1bdpUkvTggw+qePHiWrVqlfm4QYMG6fXXX1fJkiWtUjcAAICtyVc6HTlypE6dOqVvv/1WzzzzjNzc3O50Xfe9kSNHqkuXLgoICND58+cVFhYmb29vlShRQkuWLJEkbd26Vfv371efPn0UFBSk6tWr68KFC+rYsaOVqwcAALAd+Qq8L730kjw9PXX48GGtXr3a/Ct1nst7Z0RHR2vbtm165ZVXJElFihTRwoUL5e/vr48//lizZ89WYGCgmjVrJkkqVKiQZs+erczMTH366afWLB0AAMDm5Ps5vM8++6x++uknmUwmHTp0SBUrVtSLL76o4sWL6/3337/Tdd5XNm7cqAMHDiggIECSdPbsWXXv3l3p6emqWrWqVq1apccee0zx8fHy8fFRly5d9OKLL+rs2bN69NFHJUnnzp3T999/r7Nnz2rMmDHWHA4AAIBV5esO78CBA+Xs7Ky4uDgVLlzY3B4eHq4ff/zxjhV3v3rrrbd06tQpxcbGKjY2VmXLltXq1atVqFAhnTt3TmfOnNHOnTuVnJyslJQUrVq1Sn/++adGjBhhPqZjx44aM2YMYRcAANz38hV416xZo3fffVdly5a1aH/ggQd07NixO1IYcvb111+rTp06unz5sjIzMxUeHq7ffvtNgYGBGjNmjPnxZQAAALgqX0saLl26ZHFnN8u5c+fk6up620XBUmxsrPnPL7/8snr16qVu3bopLi5Offv2lSQ5OzurevXq2r59u4KCgjR//nzrFAsAAGBj8nWHt1GjRlq4cKF522QyKTMzU5MnT1aTJk3uVG3IRbly5XTixAnzEhLDMBQXF6dDhw6pRo0a1i4PAADApuTrDm9WsN2+fbtSU1P1xhtv6I8//tD58+f1yy+/3Oka73t9+/bVd999p4SEBDVr1kxFixbVww8/rJo1a2rVqlWKjIzUxYsX9eGHH6p27drWLhcAAMCmmIx8PkssISFB06dP144dO5SZmanatWurT58+GjVqlObOnXun67yn8vLdzNZy8OBB9ejRQ4mJiXJ3d9eCBQv00EMPWbssAACAeyIveS3fgTcnu3fvVu3atZWRkXGnTmkVBSHwAgAA3M/yktf4HmAAAADYtXyt4YVtiNp3WtF/JSqkkpeaB/pYuxwAAACbxB3eAipq32n1XrhdC7bEqvfC7Yrad9raJQEAANikPN3h7dChww33X7hw4XZqQR5E/5UoR5NJGYYhR5NJW48kcpcXAAAgB3kKvB4eHjfd361bt9sqCLemkIujMgxDDiYpwzBUr6KXtUsCAACwSXkKvPPmzbtbdSAPovad1qc/HZYkZRpS36aVubsLAACQC9bwFkCLf4uz2D6YkGylSgAAAGwfgbcA6NevnypUqCCTyaTff/9dMl1tT4r+n07O6qM5PetqxYoV1i0SAADARhF4C4COHTtq8+bN8vf3lySFP1JeklTIv6ZKdRytGnXqWbM8AAAAm8ZzeAuARo0aWWw3D/TRrG51tPVIgOpV9NI7r3xupcoAAABsH4G3gGoe6GP+oNo7Vq4FAADAlhF4C6Aff/xRb7/9tlJTU1W4cGGlp6dbuyQAAACbReAtYJKSktSlSxdt2rRJ1apV08aNG9W6dWtrlwUAAGCz+NBaAXPixAmVKlVK1apVkyQ1btxYKSkpOnz4sJUrAwAAsE0E3gKgb9++Klu2rE6cOKHXXntNBw8e1NatWxUZGSkvLy9lZGRoxIgRKlu2rM6ePWvtcgEAAGyKyTAMw9pF2Jrk5GR5eHgoKSlJ7u7u1i4nm59//lkjR47UxYsX1aBBA61du1YTJ05U27ZtrV0aAADAPZGXvMYa3gKoUaNG2rBhgyQpJSVFvr6+5iUOAAAAsMSShgIoPj7e/Odx48bpscceU+XKla1YEQAAgO0i8BZAI0aM0IMPPqjKlSvr2LFjmjNnjrVLAgAAsFksaSiAZs+ebe0SAAAACgzu8AIAAMCucYe3gIrad1rRfyUqpJKX+SuGAQAAkB13eAugqH2n1Xvhdi3YEqveC7crat9pa5cEAABgswi8BVD0X4lyNJmUYRhyNJm09UiitUsCAACwWQTeAiikkpc57GYYhupV9LJ2SQAAADaLNbwFUPNAH/VtWlkbDp5Rk6qlWMMLAABwAwTeAihq32l9+tNhOZpM+uNUsmqVK07oBQAAyAVLGmxc06ZNZTKZtGzZMknSggUL1KZOJcW995SOvPeULv62zLyGd9iwYfL19ZWbm5sKFy6sihUr6sqVK9YsHwAAwOoIvDbsiy++0O+//y5HR0dJUmZmpnr16qUer76u8kOWyeepYTq/YZ4CS1z9MTo5OSkgIECnT59WdHS0EhMTlZGRYc0hAAAAWB2B10YlJycrIiJCbdu2VUZGho4dO6ZDhw4pMzNTn00apWfc/9Lpr0fL0dFBv347V5IUFRUlNzc3BQcH65lnnlFqaqr+/vtvK48EAADYsjFjxshkMun333+XJG3btk3169dXjRo1VKtWLa1fv97c99ChQ2revLlq1qyphx56SIsXL7ZW2XlC4LVRzZs3V7169RQfH29uq1q1qpycnBQREaFfVixSxYoVlZGeroMHD0qSdu3apeTkZPn4+OjSpUtKTU1VkSJFrDUEAABg43bu3KmtW7eqfPnykiTDMPTUU09p/Pjx2rNnjxYtWqTu3bvr33//lST16NFDnTt31u7du7V+/Xq9/vrrOnnypDWHcEsIvDZo5syZOnjwoP755x9NmzbNYt9XX32luXPnaufOnTp16pSKFCkiZ2dnSVJqaqrKlSunUaNGSZIKFy6ssWPH3vP6AQCA7UtJSVHfvn01bdo0mUwmSVJiYqLOnz+vpk2bSpIefPBBFS9eXKtWrZIk7d69W61bt5Yk+fj4qGbNmgXiLi+B1wYtXbpUSUlJ+vXXX/XAAw9IkgYNGqSxY8fq7Nmz6t+/v65cuaK6desqJSVFdevWNR9bu3Ztvfjii1q5cqWqVaumXbt2WWkUAADAlo0cOVJdunRRQECAua1kyZLy8fHRkiVLJEm//vqr/vzzT8XGxkqSHnnkEX3++eeSpL/++ktbtmwx77NlPJbMBo0aNUqpqalat26dTCaTTCaTPvjgA7Vr106tW7fWzp07JUkHDhyQo6OjBg8eLElydHTUpEmTtGnTJlWtWlXHjx9XkyZNrDgSAABgi6Kjo7Vt2zZNnDgx277vvvtOb775pt555x1Vr15dDRo0MP82ef78+RoyZIhq1aqlihUrqlmzZuZ9tozAa4M2btyoAwcOWPyLa9y4cfL29tZff/2lwoULm9s9PT01Z84c9e7dW5KUlpamkJAQ8/6HHnro3hUOAAAKhOuzxokTJ9SiRQvNnj1brVq1Mi9hkKRq1aopMDBQkuTv76+vv/7avK9ly5YKCwu7t8Xng8kwDMPaRdia5ORkeXh4KCkpSe7u7tYuRxUqVNCKFSsUFBRk0d6kSRMNGTJEbdq0kSSNHj1asbGxmj9/vo4ePap69epp//79KlGihDXKBgAABcS1WSMhIUG+vr6SpFmzZumzzz7Ttm3bZDKZdPr0aZUqVUomk0mrV69W7969dfDgQRUqVOie15yXvMYdXjvy+uuvq1evXqpcubIcHBz06aefEnYBAECefPbZZ/riiy9kGIaqVaumZcuWmT/U9v3332vixIlycnKSn5+fVq5caZWwm1fc4c2Brd3hBQAAgKW85DWe0lAAXLlyRe3bt1eVKlVUq1YttWzZ0vyJyCZNmqhixYqqVauWatWqpQ8//NC6xQIAANgYqwfeadOmKSAgwPwNYZs2bbph/40bNyo4OFhubm6qWLGiZsyYkWvfRYsWyWQyqX379ne46nvvpZde0sGDB7Vr1y61adNGL730knnflClTtGvXLu3atUsDBw60YpUAAAC2x6qBd/HixRowYICGDx+umJgYNWzYUK1atVJcXFyO/Y8eParWrVurYcOGiomJ0bBhw9SvXz/zs+KudezYMQ0ZMkQNGza828O469zc3NS6dWvz+pl69erpyJEjVq4KAACgYLDqGt66deuqdu3amj59urmtWrVqat++vSIjI7P1f/PNN7V8+XLt37/f3BYREaHdu3crOjra3JaRkaHGjRurZ8+e2rRpky5cuKBvv/021zpSUlKUkpJi3k5OTla5cuVsdg1vt27d9I8KqdYz/bVk3ItKvfi3nJycFBgYqMjISFWsWNHaJQIAANxVBWINb2pqqnbs2JHt2W1hYWHasmVLjsdER0dn69+iRQtt375daWlp5raxY8fK29tbL7zwwi3VEhkZKQ8PD/OrXLlyeRzNvTNhwgRt37NP273DNO+Xo0qs85KmLNmgPXv2qGHDhuZHlAEAAOAqqwXec+fOKSMjQz4+PhbtPj4+SkhIyPGYhISEHPunp6fr3LlzkqRffvlFc+bM0axZs265lqFDhyopKcn8On78eB5Hc/eMGTNGJpNJv//+u9577z393//9n84mX1HC/w3RyXmvKe3vU1q87bhMJpNatWqlgwcPKigoSA8++KAGDx6szMxMaw8BAAAUQFH7Tmvs9/sUte+0tUu5bVZ/Dm/WutQshmFka7tZ/6z2ixcvqkuXLpo1a5ZKlix5yzW4urrK1dU1D1XfGzt37jR/X/X777+vPXv26OzZs8pw85AkZaal6uy3kUp/7Oo65UceeUQmk0lOTk5ydHTUBx98oCJFimjs2LFWGwMAACh4ovadVu+F2+VoMmnuL0c1q1sdNQ/0ufmBNspqd3hLliwpR0fHbHdzz5w5k+0ubhZfX98c+zs5OcnLy0t//fWXYmNj1bZtWzk5OcnJyUkLFy7U8uXL5eTkpL/++uuujedOS0lJUY8ePVSmTBk5ODho/vz5SkxMVGJiohwz02RycpH3k6/LuPKPvh32rGrWrClHR0f16dNHu3bt0ocffihHR0c98cQT1h4KAAAoYKL/SpSjyaQMw5CjyaStRxKtXdJtsVrgdXFxUXBwsKKioizao6KiFBoamuMxISEh2fqvWbNGderUkbOzsx588EHt3bvX/IiuXbt26cknn1TTpk21a9cum16be71hw4bp4sWLmjdvnkwmk5YuXart27fLZDKpWfdBKtP9AykzQ5IUULOudu/ere3bt2vTpk0qXbq0wsLCVLduXdWtW9fKIwEAAAVNSCUvc9jNMAzVq+hl7ZJui1WXNAwaNEhdu3ZVnTp1FBISopkzZyouLk4RERGSrq6tPXnypBYuXCjp6hMZpk6dqkGDBql3796Kjo7WnDlz9NVXX0m6+viuoKAgi/coXry4JGVrt2XR0dH65ptv9PrrrysgIMDcXrJkSfn5+Wn7t7N18u8rciziKcmkwkqVdPWrALt27arXXntNvr6+On36tNavX6/HHnvMSiMBAAAFUfNAH83qVkdbjySqXkWvAr2cQbJy4A0PD1diYqLGjh2r+Ph4BQUFaeXKlfL395ckxcfHWzyTNyAgQCtXrtTAgQP16aefqnTp0poyZYqefvppaw3hrli4cKGOHz+ugQMHqn///srMzFSPHj3k5uYmd3d3HTy4T5KUJpMcHEx6+MGrjyGbPHmynJ2dNXz4cKWnp6tatWrauHEjgRcAAORZ80CfAh90s1j9Q2uvvPKKXnnllRz3zZ8/P1tb48aNtXPnzls+f07nsHX+/v7y8fGRyWTS33//rStXrujSpUuSpLi4OA0fPlzjxo3TRx99pIEDB+rhhx+WJDk6OurZZ59VXFycAgMD9emnn6pz587WHAoAAIDVWf2rhZHdW2+9pdjYWPn7+2vfvqt3c/38/NSqVSulpqZq6tSpeuCBBzRz5kw5OTmpdevWkq4+qSImJkYbN27U6tWrZTKZdPp0wX+UCAAAwO2w+h1e5GzkyJHKzMxUo0aNJElDhgyRJHl7eys+Pl4XLlyQJL399tvy8/OTdPUrh52cnNSlSxc9+OCDGjFihJKSkqxSPwAAgK0g8NqgZ555Rt9//71SUlL0yiuvaNq0aVqwYIEWL16s5ORk8zODU1JSNGHCBHXp0kW//PKLDhw4YH5sm7Ozs5o3by5nZ2drDgUAAMDqWNJgg0qUKCEPDw85ODhozpw5kqSYmBh16dJFly5d0qpVq/R65FSVKO2vzMxMrVixQsHBwZo2bZpCQ0Pl4uKiwYMHyzAMBQYGWnk0AAAA1sUdXhtkMpnk7OyszMxMffTRR+rbt6+KFy9uDr+du/dSQkKCjLQrkqT9py4oetw47dixQ8eOHZOLi4smTpyokiVLatmyZdYcCgAAgNVxh9cGNWvWTKmpV5+tO3HiRGVmZmr48OH6+eef5eTkpNOnTpjDrkwOOpGUom+++UaXL1+WJPOxJUqU0OHDh60yBgAAAFtB4LVBZcqUUVBQkBwcHPThhx/K399fYWFhKlKkiHbs2CG/suUlB0e5+j4gt/JBquTjIUk6ffq0unXrJm9vbzVp0kQHDx5U9erVrTwaAAAA6yLw2qCNGzfqwIEDyszMVJ8+fXTixAm1aNFCq1atUvXq1eWkDDk7OmrAe/Pk7fivOjxWz3xsRkaGEhMTFRISYsURAAAA2A4Crw166623dOrUKTk6Ouqzzz5T2bJltXr1arVq1UrLli3ThQsXVK9pC+2LXiu3QoUsvknt2LFjcnNzU+nSpa04AgAAANtB4LVBffv2VdmyZZWRkaHevXvr5MmT5n2jR49W8sWL2rLlF61dvVKXGw3U2v1n9Pnnn6tEiRLatGmTLl26pH79+snHx0cxMTFWHAkAAID1mQzDMKxdhK1JTk6Wh4eHkpKS5O7ubrU6KlSooBUrVigoKMjctmHDBrV5+jl5vThLJtPVf680q1ZKs7s/oqNHj6p69eo6deqUVesGAAC42/KS17jDa4Oy7vCeOHFCzZo1U+XKlc375syZoyoN25rD7lUmSdLcuXP19NNPE3YBAACuwR3eHNjKHd7cRO07rd4Lt5u3Z3Wro+aBPlasCAAA4N7iDi8AAADw/xF4C6DF2+Ku2z5upUoAAABsH4G3IMq2CIVVKQAAALkh8BZA4Y+Wt9x+pHwuPQEAAEDgLYB2Hb9ww20AAAD8h8BbAG04cMZy++CZXHoCAACAwFsA+ZcsYrntVSSXngAAACDwFkC+7m7//6smrn7lhJ+HmzXLAQAAsGkE3gIopJKXDEmOJpMMSfUqelm7JAAAAJvlZO0CkHfNA300q1sdbT2SqHoVvfiWNQAAgBsg8BZQzQN9CLoAAAC3gCUNAAAAsGsEXgAAANg1Ai8AAADsGmt4C6iofacV/VeiQirxoTUAAIAb4Q5vARS177R6L9yueb8cVe+F2xW177S1SwIAALBZBN4CaPFvcZIkI2t7W5z1igEAALBxBN4C6Ow/KZbbF1Ny6QkAAAACLwAAAOwagbcA8i7qarldzDWXngAAACDwFkDhj5aXJJmyth8pb71iAAAAbByPJSuAmgf6aFa3Otp6JFH1KvJYMgAAgBvhDm8Btev4BW39K1G7jl+wdikAAAA2jTu8BdDk1Qf16U+HJUl/xCdLkl5vUdWaJQEAANgs7vAWQMt3nbTY/n73yVx6AgAAgMBbADk6mCy2HUymXHoCAACAwFsAeRRyvuE2AAAA/kPgLYB4Di8AAMCtI/AWQFX93C23fd1z6QkAAAACbwH0b2qG+QfnIOlKWoY1ywEAALBpBN4CKKSSlzIlOZpMypRUr6KXtUsCAACwWQTeAqh5oI9aV/eTR2Fnta7uxzetAQAA3ACBtwCavPqgVu6N1/lLqVq5N16TVx+0dkkAAAA2i8BbAC2Mjr3hNgAAAP5D4C2A0tIzLbczMnPpCQAAAAJvAVTGs5DldvFCufQEAAAAgbcAOpucYrl9MSWXngAAACDwFkCXUtMtti+npOfSEwAAAATeAqiIq5PFduHrtgEAAPAfAm8B5F3M9YbbAAAA+A+BtwD6+3KaxfaF67YBAADwHwJvAeRZ2Nliu/h12wAAAPgPgbcASs24/jm8hpUqAQAAsH0E3gKoRCEXi+3r7/gCAADgPwTeAuif6x5L9g+PJQMAAMgVgbcAOpZ42WI77rptAAAA/IfAWwC5OFn+2Jyd+DECAADkhqRUAP2bmnHDbQAAAPyHwFsAXf9MBp7RAAAAkDsCbwFkusk2AAAA/mP1wDtt2jQFBATIzc1NwcHB2rRp0w37b9y4UcHBwXJzc1PFihU1Y8YMi/2zZs1Sw4YN5enpKU9PTzVr1ky//fbb3RzCPedeyOmG2wAAAPiPVQPv4sWLNWDAAA0fPlwxMTFq2LChWrVqpbi4uBz7Hz16VK1bt1bDhg0VExOjYcOGqV+/flqyZIm5z4YNG/T888/rp59+UnR0tMqXL6+wsDCdPHnyXg3rrrt83Zrd67cBAADwH5NhGFZbAlq3bl3Vrl1b06dPN7dVq1ZN7du3V2RkZLb+b775ppYvX679+/eb2yIiIrR7925FR0fn+B4ZGRny9PTU1KlT1a1btxz7pKSkKCUlxbydnJyscuXKKSkpSe7u7vkd3l1TZfhKpV7z7Woujib9+U5rK1YEAABwbyUnJ8vDw+OW8prV7vCmpqZqx44dCgsLs2gPCwvTli1bcjwmOjo6W/8WLVpo+/btSktLy/GYy5cvKy0tTSVKlMi1lsjISHl4eJhf5cqVy+No7i1HB9MNtwEAAPAfqwXec+fOKSMjQz4+PhbtPj4+SkhIyPGYhISEHPunp6fr3LlzOR7z1ltvqUyZMmrWrFmutQwdOlRJSUnm1/Hjx/M4mnsrLT3TcjsjM5eeAAAAsPqnnUwmy7uThmFka7tZ/5zaJWnSpEn66quvtGHDBrm5ueV6TldXV7m6uualbKtKv24RSjp5FwAAIFdWC7wlS5aUo6Njtru5Z86cyXYXN4uvr2+O/Z2cnOTl5WXR/t5772nChAlau3atatSocWeLBwAAQIFhtSUNLi4uCg4OVlRUlEV7VFSUQkNDczwmJCQkW/81a9aoTp06cnZ2NrdNnjxZ48aN048//qg6derc+eKtjOfwAgAA3DqrPpZs0KBBmj17tubOnav9+/dr4MCBiouLU0REhKSra2uvfbJCRESEjh07pkGDBmn//v2aO3eu5syZoyFDhpj7TJo0SW+//bbmzp2rChUqKCEhQQkJCfrnn3/u+fjuFr5pDQAA4NZZdQ1veHi4EhMTNXbsWMXHxysoKEgrV66Uv7+/JCk+Pt7imbwBAQFauXKlBg4cqE8//VSlS5fWlClT9PTTT5v7TJs2TampqerYsaPFe40aNUqjR4++J+MCAACA7bDqc3htVV6e62YNFd76IVtb7MQnrFAJAACAdRSI5/ACAAAA9wKBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawTeAoivFgYAALh1BN4CiK8WBgAAuHUEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8AAAAsGsEXgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwFkCmm2wDAADgPwTeAsjB4cbbAAAA+A9RqQAq51n4htsAAAD4D4G3ABr+ROANtwEAAPAfJ2sXgLxrHuijWd3qaOuRRNWr6KXmgT7WLgkAAMBmEXgLqOaBPgRdAACAW8CSBgAAANg1Ai8AAADsGoEXAAAAdo3ACwAAALtG4AUAAIBdI/ACAADArhF4AQAAYNcIvAAAALBrBF4AAADYNQIvAAAA7JrVA++0adMUEBAgNzc3BQcHa9OmTTfsv3HjRgUHB8vNzU0VK1bUjBkzsvVZsmSJAgMD5erqqsDAQC1btuxulQ8AAAAbZ9XAu3jxYg0YMEDDhw9XTEyMGjZsqFatWikuLi7H/kePHlXr1q3VsGFDxcTEaNiwYerXr5+WLFli7hMdHa3w8HB17dpVu3fvVteuXfXss8/q119/vVfDAgAAgA0xGYZhWOvN69atq9q1a2v69OnmtmrVqql9+/aKjIzM1v/NN9/U8uXLtX//fnNbRESEdu/erejoaElSeHi4kpOTtWrVKnOfli1bytPTU1999dUt1ZWcnCwPDw8lJSXJ3d09v8MDAADAXZKXvGa1O7ypqanasWOHwsLCLNrDwsK0ZcuWHI+Jjo7O1r9Fixbavn270tLSbtgnt3NKUkpKipKTky1eAAAAsA9WC7znzp1TRkaGfHx8LNp9fHyUkJCQ4zEJCQk59k9PT9e5c+du2Ce3c0pSZGSkPDw8zK9y5crlZ0gAAACwQVb/0JrJZLLYNgwjW9vN+l/fntdzDh06VElJSebX8ePHb7l+AAAA2DYna71xyZIl5ejomO3O65kzZ7Ldoc3i6+ubY38nJyd5eXndsE9u55QkV1dXubq65mcYAAAAsHFWu8Pr4uKi4OBgRUVFWbRHRUUpNDQ0x2NCQkKy9V+zZo3q1KkjZ2fnG/bJ7ZwAAACwb1a7wytJgwYNUteuXVWnTh2FhIRo5syZiouLU0REhKSrSw1OnjyphQsXSrr6RIapU6dq0KBB6t27t6KjozVnzhyLpy/0799fjRo10rvvvqt27drpu+++09q1a7V582arjBEAAADWZdXAGx4ersTERI0dO1bx8fEKCgrSypUr5e/vL0mKj4+3eCZvQECAVq5cqYEDB+rTTz9V6dKlNWXKFD399NPmPqGhoVq0aJHefvttjRgxQpUqVdLixYtVt27dez4+AAAAWJ9Vn8Nrq3gOLwAAgG0rEM/hBQAAAO4FAi8AAADsGoEXAAAAdo3ACwAAALtm1ac02Kqsz/ElJydbuRIAAADkJCun3crzFwi8Obh48aIkqVy5clauBAAAADdy8eJFeXh43LAPjyXLQWZmpk6dOqVixYrJZDJZu5wcJScnq1y5cjp+/DiPTrsOc5Mz5iV3zE3umJvcMTe5Y25yx9zkLq9zYxiGLl68qNKlS8vB4cardLnDmwMHBweVLVvW2mXcEnd3d/7C5IK5yRnzkjvmJnfMTe6Ym9wxN7ljbnKXl7m52Z3dLHxoDQAAAHaNwAsAAAC7RuAtoFxdXTVq1Ci5urpauxSbw9zkjHnJHXOTO+Ymd8xN7pib3DE3ububc8OH1gAAAGDXuMMLAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1wi8BdC0adMUEBAgNzc3BQcHa9OmTdYu6Z4bPXq0TCaTxcvX19e83zAMjR49WqVLl1ahQoXUpEkT/fHHH1as+O75+eef1bZtW5UuXVomk0nffvutxf5bmYuUlBS99tprKlmypIoUKaInn3xSJ06cuIejuDtuNjc9evTIdh3Vq1fPoo89zk1kZKQeeeQRFStWTKVKlVL79u118OBBiz7363VzK3Nzv14306dPV40aNcxfChASEqJVq1aZ99+v14x087m5X6+Z60VGRspkMmnAgAHmtnt13RB4C5jFixdrwIABGj58uGJiYtSwYUO1atVKcXFx1i7tnnvooYcUHx9vfu3du9e8b9KkSfrggw80depUbdu2Tb6+vmrevLkuXrxoxYrvjkuXLqlmzZqaOnVqjvtvZS4GDBigZcuWadGiRdq8ebP++ecftWnTRhkZGfdqGHfFzeZGklq2bGlxHa1cudJivz3OzcaNG9W3b19t3bpVUVFRSk9PV1hYmC5dumTuc79eN7cyN9L9ed2ULVtWEydO1Pbt27V9+3Y99thjateunTmc3K/XjHTzuZHuz2vmWtu2bdPMmTNVo0YNi/Z7dt0YKFAeffRRIyIiwqLtwQcfNN566y0rVWQdo0aNMmrWrJnjvszMTMPX19eYOHGiue3KlSuGh4eHMWPGjHtUoXVIMpYtW2bevpW5uHDhguHs7GwsWrTI3OfkyZOGg4OD8eOPP96z2u+26+fGMAyje/fuRrt27XI95n6ZmzNnzhiSjI0bNxqGwXVzrevnxjC4bq7l6elpzJ49m2smB1lzYxhcMxcvXjQeeOABIyoqymjcuLHRv39/wzDu7X9ruMNbgKSmpmrHjh0KCwuzaA8LC9OWLVusVJX1HDp0SKVLl1ZAQICee+45HTlyRJJ09OhRJSQkWMyTq6urGjdufN/N063MxY4dO5SWlmbRp3Tp0goKCrov5mvDhg0qVaqUqlSpot69e+vMmTPmfffL3CQlJUmSSpQoIYnr5lrXz02W+/26ycjI0KJFi3Tp0iWFhIRwzVzj+rnJcj9fM3379tUTTzyhZs2aWbTfy+vG6TbHgHvo3LlzysjIkI+Pj0W7j4+PEhISrFSVddStW1cLFy5UlSpVdPr0aY0fP16hoaH6448/zHOR0zwdO3bMGuVaza3MRUJCglxcXOTp6Zmtj71fV61atdIzzzwjf39/HT16VCNGjNBjjz2mHTt2yNXV9b6YG8MwNGjQIDVo0EBBQUGSuG6y5DQ30v193ezdu1chISG6cuWKihYtqmXLlikwMNAcPO7naya3uZHu72tm0aJF2rlzp7Zt25Zt3738bw2BtwAymUwW24ZhZGuzd61atTL/uXr16goJCVGlSpW0YMEC8wcBmKf/5Gcu7of5Cg8PN/85KChIderUkb+/v3744Qd16NAh1+PsaW5effVV7dmzR5s3b862736/bnKbm/v5uqlatap27dqlCxcuaMmSJerevbs2btxo3n8/XzO5zU1gYOB9e80cP35c/fv315o1a+Tm5pZrv3tx3bCkoQApWbKkHB0ds/2L5syZM9n+dXS/KVKkiKpXr65Dhw6Zn9bAPOmW5sLX11epqan6+++/c+1zv/Dz85O/v78OHTokyf7n5rXXXtPy5cv1008/qWzZsuZ2rpvc5yYn99N14+LiosqVK6tOnTqKjIxUzZo19fHHH3PNKPe5ycn9cs3s2LFDZ86cUXBwsJycnOTk5KSNGzdqypQpcnJyMo/tXlw3BN4CxMXFRcHBwYqKirJoj4qKUmhoqJWqsg0pKSnav3+//Pz8FBAQIF9fX4t5Sk1N1caNG++7ebqVuQgODpazs7NFn/j4eP3+++/33XwlJibq+PHj8vPzk2S/c2MYhl599VUtXbpU69evV0BAgMX++/m6udnc5OR+uW5yYhiGUlJS7utrJjdZc5OT++Waefzxx7V3717t2rXL/KpTp446d+6sXbt2qWLFivfuusnHh+1gRYsWLTKcnZ2NOXPmGPv27TMGDBhgFClSxIiNjbV2affU4MGDjQ0bNhhHjhwxtm7darRp08YoVqyYeR4mTpxoeHh4GEuXLjX27t1rPP/884afn5+RnJxs5crvvIsXLxoxMTFGTEyMIcn44IMPjJiYGOPYsWOGYdzaXERERBhly5Y11q5da+zcudN47LHHjJo1axrp6enWGtYdcaO5uXjxojF48GBjy5YtxtGjR42ffvrJCAkJMcqUKWP3c/Pyyy8bHh4exoYNG4z4+Hjz6/Lly+Y+9+t1c7O5uZ+vm6FDhxo///yzcfToUWPPnj3GsGHDDAcHB2PNmjWGYdy/14xh3Hhu7udrJifXPqXBMO7ddUPgLYA+/fRTw9/f33BxcTFq165t8bic+0V4eLjh5+dnODs7G6VLlzY6dOhg/PHHH+b9mZmZxqhRowxfX1/D1dXVaNSokbF3714rVnz3/PTTT4akbK/u3bsbhnFrc/Hvv/8ar776qlGiRAmjUKFCRps2bYy4uDgrjObOutHcXL582QgLCzO8vb0NZ2dno3z58kb37t2zjdse5yanOZFkzJs3z9znfr1ubjY39/N106tXL/P/e7y9vY3HH3/cHHYN4/69ZgzjxnNzP18zObk+8N6r68ZkGIaR53vUAAAAQAHBGl4AAADYNQIvAAAA7BqBFwAAAHaNwAsAAAC7RuAFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReALgLNmzYIJPJpAsXLkiS5s+fr+LFi9/V9+zRo4fat29/V9/jetePMyd3Y+yxsbEymUzatWvXHT0vAPtE4AVg03r06CGTyaSJEydatH/77bcymUxWqirvwsPD9eeff1q7jDsuNDRU8fHx8vDwsHYpN7VhwwaNHj36lvfFxsbqhRdeUEBAgAoVKqRKlSpp1KhRSk1NvfvFArijCLwAbJ6bm5veffdd/f3333f0vPcyuBQqVEilSpW6Z+93KzIyMpSZmXlb53BxcZGvr69N/+NjxowZOnPmjHk7NTVV77//vtLS0m6478CBA8rMzNRnn32mP/74Qx9++KFmzJihYcOGWWMYAG4DgReAzWvWrJl8fX0VGRl5w35LlizRQw89JFdXV1WoUEHvv/++xf4KFSpo/Pjx6tGjhzw8PNS7d2/zr9tXrFihqlWrqnDhwurYsaMuXbqkBQsWqEKFCvL09NRrr72mjIwM87k+//xz1alTR8WKFZOvr686depkEZyud/2v9StUqCCTyZTtleXkyZMKDw+Xp6envLy81K5dO8XGxpr3Z2RkaNCgQSpevLi8vLz0xhtvyDCMG87PtWMNDAyUq6urjh07ptTUVL3xxhsqU6aMihQporp162rDhg3m444dO6a2bdvK09NTRYoU0UMPPaSVK1dKynlJw/z581W+fHkVLlxYTz31lBITEy3qyGnpxYABA9SkSRPz9o8//qgGDRqYx9emTRv99ddfuY7t77//VufOneXt7a1ChQrpgQce0Lx58yRJ5cqV05NPPqlly5bpjz/+ULNmzeTo6CgHB4cb7mvZsqXmzZunsLAwVaxYUU8++aSGDBmipUuX3nCeAdgeJ2sXAAA34+joqAkTJqhTp07q16+fypYtm63Pjh079Oyzz2r06NEKDw/Xli1b9Morr8jLy0s9evQw95s8ebJGjBiht99+W5K0efNmXb58WVOmTNGiRYt08eJFdejQQR06dFDx4sW1cuVKHTlyRE8//bQaNGig8PBwSVfvBI4bN05Vq1bVmTNnNHDgQPXo0cMcBG9m27Zt5gCdkZGhjh07ytnZWZJ0+fJlNW3aVA0bNtTPP/8sJycnjR8/Xi1bttSePXvk4uKi999/X3PnztWcOXMUGBio999/X8uWLdNjjz12w/e9fPmyIiMjNXv2bHl5ealUqVLq2bOnYmNjtWjRIpUuXVrLli1Ty5YttXfvXj3wwAPq27evUlNT9fPPP6tIkSLat2+fihYtmuP5f/31V/Xq1UsTJkxQhw4d9OOPP2rUqFG3NCfXunTpkgYNGqTq1avr0qVLGjlypJ566int2rVLDg7Z79WMGDFC+/bt06pVq1SyZEkdPnxY//77ryTpiSeeUIMGDVSvXj3FxcVp8+bNevjhh2+6LydJSUkqUaJEnscDwMoMALBh3bt3N9q1a2cYhmHUq1fP6NWrl2EYhrFs2TLj2v+EderUyWjevLnFsa+//roRGBho3vb39zfat29v0WfevHmGJOPw4cPmtj59+hiFCxc2Ll68aG5r0aKF0adPn1zr/O233wxJ5mN++uknQ5Lx999/m9/Hw8Mjx2P79etn+Pv7G2fOnDEMwzDmzJljVK1a1cjMzDT3SUlJMQoVKmSsXr3aMAzD8PPzMyZOnGjen5aWZpQtW9Y8VznJGuuuXbvMbYcPHzZMJpNx8uRJi76PP/64MXToUMMwDKN69erG6NGjczzn9eN8/vnnjZYtW1r0CQ8Ptxj7tT/TLP379zcaN26ca+1nzpwxJBl79+41DMMwjh49akgyYmJiDMMwjLZt2xo9e/bM8dhVq1YZ9erVM/r162d07NjRaNCggfHRRx8Z6enpN9x3vcOHDxvu7u7GrFmzcq0TgG1iSQOAAuPdd9/VggULtG/fvmz79u/fr/r161u01a9fX4cOHbJYilCnTp1sxxYuXFiVKlUyb/v4+KhChQoWdzF9fHwslizExMSoXbt28vf3V7Fixcy/jo+Li8vTmGbOnKk5c+bou+++k7e3t6Srd6sPHz6sYsWKqWjRoipatKhKlCihK1eu6K+//lJSUpLi4+MVEhJiPo+Tk1OOY7uei4uLatSoYd7euXOnDMNQlSpVzO9VtGhRbdy40byEoF+/fho/frzq16+vUaNGac+ePbmef//+/RZ1Scq2fSv++usvderUSRUrVpS7u7sCAgIk5T6/L7/8shYtWqRatWrpjTfe0JYtW8z7jh49qu+++05PPfWUHnroIa1bt05paWnKzMy84b5rnTp1Si1bttQzzzyjF198Mc/jAWBdLGkAUGA0atRILVq00LBhwyyWKUiSYRjZPjhl5LCmtUiRItnaspYSZDGZTDm2ZYWgS5cuKSwsTGFhYfr888/l7e2tuLg4tWjRIk8fhNuwYYNee+01ffXVV6pZs6a5PTMzU8HBwfriiy+yHZMVivOrUKFCFvOUmZkpR0dH7dixQ46OjhZ9swL/iy++qBYtWuiHH37QmjVrFBkZqffff1+vvfZatvPnNOfXc3BwyNYvLS3NYrtt27YqV66cZs2apdKlSyszM1NBQUG5zm+rVq107Ngx/fDDD1q7dq0ef/xx9e3bV++9955efvllSTL/Q8nFxUVDhgyRpBvuy3Lq1Ck1bdpUISEhmjlz5k3HB8D2EHgBFCgTJ05UrVq1VKVKFYv2wMBAbd682aJty5YtqlKlSrYgd7sOHDigc+fOaeLEiSpXrpwkafv27Xk6x+HDh/X0009r2LBh6tChg8W+2rVra/HixSpVqpTc3d1zPN7Pz09bt25Vo0aNJEnp6enasWOHateunac6Hn74YWVkZOjMmTNq2LBhrv3KlSuniIgIRUREaOjQoZo1a1aOgTcwMFBbt261aLt+29vbW7///rtF265du8z/yEhMTNT+/fv12WefmWu6/mebE29vb/Xo0UM9evRQw4YN9frrr+u9994z72/SpInFB+Ouldu+kydPqmnTpgoODta8efNyXD8MwPbxNxdAgVK9enV17txZn3zyiUX74MGDtW7dOo0bN05//vmnFixYoKlTp2a7W3cnlC9fXi4uLvrkk0905MgRLV++XOPGjbvl4//991+1bdtWtWrV0ksvvaSEhATzS5I6d+6skiVLql27dtq0aZOOHj2qjRs3qn///jpx4oQkqX///po4caKWLVumAwcO6JVXXrnhlz/kpkqVKurcubO6deumpUuX6ujRo9q2bZveffdd8wfwBgwYoNWrV+vo0aPauXOn1q9fr2rVquV4vn79+unHH3/UpEmT9Oeff2rq1Kn68ccfLfo89thj2r59uxYuXKhDhw5p1KhRFgE468kUM2fO1OHDh7V+/XoNGjTohuMYOXKkvvvuOx0+fFh//PGHVqxYkWuNt+rUqVNq0qSJypUrp/fee09nz561+DkBKDgIvAAKnHHjxmX7lXjt2rX1v//9T4sWLVJQUJBGjhypsWPHZlv6cCd4e3tr/vz5+vrrrxUYGKiJEyda3Em8mdOnT+vAgQNav369SpcuLT8/P/NLurqm+Oeff1b58uXVoUMHVatWTb169dK///5rvuM7ePBgdevWTT169FBISIiKFSump556Kl/jmTdvnrp166bBgweratWqevLJJ/Xrr7+a715nZGSob9++qlatmlq2bKmqVatq2rRpOZ6rXr16mj17tj755BPVqlVLa9asMT8RI0uLFi00YsQIvfHGG3rkkUd08eJFdevWzbzfwcFBixYt0o4dOxQUFKSBAwdq8uTJNxyDi4uLhg4dqho1aqhRo0ZydHTUokWL8jUfWdasWWMO3GXLls32cwJQcJiMW1lwBQAAABRQ3OEFAACAXSPwAgAAwK4ReAEAAGDXCLwAAACwawReAAAA2DUCLwAAAOwagRcAAAB2jcALAAAAu0bgBQAAgF0j8AIAAMCuEXgBAABg1/4fqBkPWnrB5ucAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from statsmodels.graphics.regressionplots import plot_leverage_resid2\n", "import matplotlib.pyplot as plt\n", "\n", "# Create the plot\n", "fig, ax = plt.subplots(figsize=(8, 6))\n", "fig = plot_leverage_resid2(multiple_reg_Cat, ax=ax)\n", "\n", "# Customize marker size\n", "for line in ax.get_lines():\n", " line.set_markersize(2) # Reduce marker size\n", "\n", "# Customize annotation font size\n", "for text in ax.texts:\n", " text.set_fontsize(8) # Reduce annotation font size\n", "\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGenderinfluence_value
034.37425815.12699437.1576245.377594765.518462Female42.516074
134.60331112.20729833.9138476.922689744.221867Male113.699561
49932.83694110.25654936.1439080.78952025006.670580Male973.288859
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "0 34.374258 15.126994 37.157624 5.377594 \n", "1 34.603311 12.207298 33.913847 6.922689 \n", "499 32.836941 10.256549 36.143908 0.789520 \n", "\n", " Yearly Amount Spent Gender influence_value \n", "0 765.518462 Female 42.516074 \n", "1 744.221867 Male 113.699561 \n", "499 25006.670580 Male 973.288859 " ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customersWithCategorical.loc[[0, 1, 499]] #looking at Influential points" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "# Removal of influential points based on above plot\n", "# XWithCateg = XWithCateg.drop([0, 1, 491, 499])\n", "\n", "# DROP ALL ROWS in 'XCateg' where the influence value is >= 1\n", "customersWithCategorical = customersWithCategorical.drop(influence_data_points.index)\n", "# Drop the influence value column for plotting\n", "customersWithCategorical = customersWithCategorical.drop('influence_value', axis=1)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGender
334.96761013.91949437.9520135.066697712.396327Female
1034.48238813.28303335.9072984.968743666.125592Female
1531.94539612.96576136.9663896.076654657.019924Female
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "3 34.967610 13.919494 37.952013 5.066697 \n", "10 34.482388 13.283033 35.907298 4.968743 \n", "15 31.945396 12.965761 36.966389 6.076654 \n", "\n", " Yearly Amount Spent Gender \n", "3 712.396327 Female \n", "10 666.125592 Female \n", "15 657.019924 Female " ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Dataframe with all influential points removed\n", "customersWithCategorical.head(3) #Check that 'influence_value' column is removed" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGender_Male
334.96761013.91949437.9520135.066697712.3963270
1034.48238813.28303335.9072984.968743666.1255920
1531.94539612.96576136.9663896.076654657.0199240
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "3 34.967610 13.919494 37.952013 5.066697 \n", "10 34.482388 13.283033 35.907298 4.968743 \n", "15 31.945396 12.965761 36.966389 6.076654 \n", "\n", " Yearly Amount Spent Gender_Male \n", "3 712.396327 0 \n", "10 666.125592 0 \n", "15 657.019924 0 " ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "# Dummification of categorical variable\n", "customersWithCategEncoded = pd.get_dummies(customersWithCategorical, drop_first=True, dtype='int16')\n", "customersWithCategEncoded.head(3)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((324, 5), (324,), (82, 5), (82,))" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X = customersWithCategEncoded.drop(['Yearly Amount Spent'], axis=1) #independent attributes\n", "y = customersWithCategEncoded['Yearly Amount Spent'] #dependent variable (target variable)\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=101) #train test split\n", "X_train.shape, y_train.shape, X_test.shape, y_test.shape" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " OLS Regression Results \n", "===============================================================================\n", "Dep. Variable: Yearly Amount Spent R-squared: 0.972\n", "Model: OLS Adj. R-squared: 0.972\n", "Method: Least Squares F-statistic: 2225.\n", "Date: Thu, 19 Sep 2024 Prob (F-statistic): 5.56e-245\n", "Time: 18:35:00 Log-Likelihood: -1257.1\n", "No. Observations: 324 AIC: 2526.\n", "Df Residuals: 318 BIC: 2549.\n", "Df Model: 5 \n", "Covariance Type: nonrobust \n", "========================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", "----------------------------------------------------------------------------------------\n", "const -1018.5897 40.027 -25.448 0.000 -1097.340 -939.839\n", "Avg. Session Length 25.2806 0.711 35.578 0.000 23.883 26.679\n", "Time on App 37.8060 0.804 47.023 0.000 36.224 39.388\n", "Time on Website 0.4855 0.666 0.729 0.467 -0.825 1.796\n", "Length of Membership 59.7095 1.053 56.713 0.000 57.638 61.781\n", "Gender_Male -5.1995 2.081 -2.499 0.013 -9.294 -1.106\n", "==============================================================================\n", "Omnibus: 337.893 Durbin-Watson: 2.049\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 26522.828\n", "Skew: -4.119 Prob(JB): 0.00\n", "Kurtosis: 46.552 Cond. No. 3.12e+03\n", "==============================================================================\n", "\n", "Notes:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", "[2] The condition number is large, 3.12e+03. This might indicate that there are\n", "strong multicollinearity or other numerical problems.\n" ] } ], "source": [ "import statsmodels.api as sm\n", "\n", "# adding the Constant term\n", "X_train= sm.add_constant(X_train)\n", "X_train.head()\n", "\n", "X_test= sm.add_constant(X_test)\n", "X_test.head()\n", "\n", "multiple_reg_Cat = sm.OLS(y_train, X_train).fit()\n", "print(multiple_reg_Cat.summary()) #build a model using all attributes" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MLR_All_incl_Categorical_featuresMLR_All_features_Box_Cox_On-XMLR_All_features_Box_Cox_On-yMLR_All_Removing_Influential_pointsMLR_All_Removing_Influential_points
const6567.4211656567.4211651.135659-1018.589686-1018.589686
Avg. Session Length-33.034000-33.0340000.00024725.28064425.280644
Time on App-112.991482-112.9914820.00034137.80595837.805958
Time on Website-71.970542-71.9705420.0000030.4854920.485492
Length of Membership-204.159096-204.1590960.00055659.70954259.709542
Gender_Male-332.491951-332.491951-0.000082-5.199532-5.199532
\n", "
" ], "text/plain": [ " MLR_All_incl_Categorical_features \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-X \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-y \\\n", "const 1.135659 \n", "Avg. Session Length 0.000247 \n", "Time on App 0.000341 \n", "Time on Website 0.000003 \n", "Length of Membership 0.000556 \n", "Gender_Male -0.000082 \n", "\n", " MLR_All_Removing_Influential_points \\\n", "const -1018.589686 \n", "Avg. Session Length 25.280644 \n", "Time on App 37.805958 \n", "Time on Website 0.485492 \n", "Length of Membership 59.709542 \n", "Gender_Male -5.199532 \n", "\n", " MLR_All_Removing_Influential_points \n", "const -1018.589686 \n", "Avg. Session Length 25.280644 \n", "Time on App 37.805958 \n", "Time on Website 0.485492 \n", "Length of Membership 59.709542 \n", "Gender_Male -5.199532 " ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "coeff(\"MLR_All_Removing_Influential_points\", multiple_reg_Cat.params)" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ModelMAE_TrainMSE_TrainRMSE_TrainMAPE_TrainMAE_TestMSE_TestRMSE_TestMAPE_TestR2RAE_TrainRSE_TrainRAE_TestRSE_Test
0MLR_with_Categ_attributes236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
1MLR_Box_Cox_Transform-On-X236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
2MLR_Box_Cox_Transform-On-y0.0001642.067951e-070.0004550.01428554.5199272991.25040154.69232597.9214570.7247610.2598430.27523916.181541158.827271
3MLR_All_attrib_Influential_removed7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
4MLR_All_attrib_Influential_removed7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
\n", "
" ], "text/plain": [ " Model MAE_Train MSE_Train RMSE_Train \\\n", "0 MLR_with_Categ_attributes 236.143762 1.486420e+06 1219.188174 \n", "1 MLR_Box_Cox_Transform-On-X 236.143762 1.486420e+06 1219.188174 \n", "2 MLR_Box_Cox_Transform-On-y 0.000164 2.067951e-07 0.000455 \n", "3 MLR_All_attrib_Influential_removed 7.843717 1.372752e+02 11.716449 \n", "4 MLR_All_attrib_Influential_removed 7.843717 1.372752e+02 11.716449 \n", "\n", " MAPE_Train MAE_Test MSE_Test RMSE_Test MAPE_Test R2 \\\n", "0 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "1 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "2 0.014285 54.519927 2991.250401 54.692325 97.921457 0.724761 \n", "3 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "4 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "\n", " RAE_Train RSE_Train RAE_Test RSE_Test \n", "0 1.659035 0.978213 2.935542 8.755543 \n", "1 1.659035 0.978213 2.935542 8.755543 \n", "2 0.259843 0.275239 16.181541 158.827271 \n", "3 0.140114 0.027790 0.153342 0.036250 \n", "4 0.140114 0.027790 0.153342 0.036250 " ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get error metrics\n", "scores = get_metrics(y_train, multiple_reg_Cat.predict(X_train), y_test, multiple_reg_Cat.predict(X_test), \"MLR_All_attrib_Influential_removed\", scores)\n", "scores" ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "id": "N2laK806AaJ_", "outputId": "39c39f05-7456-44bc-b7bb-b11a808fbc61" }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Length of Membership=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "", "line": { "color": "red" }, "marker": { "color": "#636efa", "line": { "color": "black", "width": 2 }, "size": 4, "symbol": "circle" }, "mode": "markers", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 5.066696864, 4.968742674, 6.076653638, 5.493507201, 4.750360071, 3.634340224, 4.632460946, 4.125584363, 4.389455226, 4.446308318, 4.019051427, 3.864860739, 5.004820577, 4.350887844, 4.214495086, 4.330714462, 4.343062915, 4.082620633, 5.084861309, 4.008352235, 3.790552137, 4.000963586, 3.371258113, 3.120178783, 3.969417759, 4.055775962, 4.985204971, 4.806349619, 4.712233579, 3.292797663, 4.029453828, 3.792711955, 4.652854446, 3.746572973, 3.918541839, 4.297737482, 3.798725319, 3.854473856, 3.273433578, 4.541695257, 4.25698329, 4.158214653, 3.515688256, 4.113226123, 5.314354141, 4.746989703, 4.051382465, 4.478712608, 4.20590389, 4.543332413, 2.90900846, 4.729484542, 4.626075292, 4.595522709, 4.003325039, 4.087837273, 4.74257752, 3.784273087, 3.701622287, 4.001786346, 3.905250309, 4.183143662, 3.046540621, 4.520353377, 4.434273435, 4.662845304, 3.318822279, 3.97452248, 3.283663455, 3.488029991, 3.970555628, 4.64325855, 3.345922321, 4.571213024, 4.403369831, 3.416209978, 4.369366794, 4.470282584, 4.560396067, 3.130538462, 4.131276648, 3.229450904, 3.569046516, 4.531986607, 4.041244969, 3.275733705, 3.462298847, 3.310150347, 4.198349061, 4.222436225, 4.082855279, 4.13175504, 3.597459969, 5.113319475, 3.768561963, 3.843848921, 3.827375915, 4.301996499, 3.8515788, 3.47202138, 4.599937358, 4.396651901, 4.808320373, 3.689916615, 3.641497162, 4.671275461, 4.334001444, 4.773503047, 4.048510087, 5.047022551, 4.02210291, 2.871947536, 3.923488746, 3.89711586, 2.685284836, 3.576525915, 4.852842407, 2.935577274, 3.680847338, 3.78493211, 3.228717686, 3.137068975, 2.907094935, 4.789201624, 3.982471513, 2.87459691, 3.713209203, 3.649286158, 4.685017247, 4.778973636, 4.027813842, 4.081802695, 2.995761183, 3.678589399, 3.919302309, 3.634996006, 3.184618662, 4.72402744, 4.106055152, 3.997255378, 3.447017793, 3.834169667, 4.01872661, 4.193324636, 3.456233824, 3.6758488, 4.331863027, 3.60439856, 3.397363093, 4.349778419, 3.086337272, 4.137000388, 2.768851943, 4.129254688, 3.447092896, 3.163091931, 4.116340467, 3.481062133, 3.90447938, 4.124585297, 3.911708668, 5.081210092, 3.873337569, 3.015175299, 3.802511439, 3.45175071, 2.957448757, 3.345570976, 4.243812817, 4.01598664, 3.917451119, 1.920715478, 2.941410754, 3.557813698, 3.373104674, 3.336339382, 4.03438613, 3.89289148, 3.3766875, 3.612239152, 3.467014066, 4.646119977, 4.717102513, 3.634093727, 2.964497876, 3.442799202, 3.549036057, 3.206756698, 2.735159567, 3.062368145, 2.926940235, 3.393902788, 3.471919137, 3.021671822, 3.63770128, 3.023474446, 3.781823039, 2.972271382, 2.633419989, 2.379076497, 2.969640227, 3.452388583, 3.656983927, 3.12650949, 3.531402303, 3.516051017, 4.089330841, 2.669941624, 3.535802468, 3.872432042, 3.620364988, 2.709526627, 3.506967574, 3.392050489, 3.701229217, 3.414688423, 3.222080767, 3.350279288, 2.724108202, 3.525806412, 3.202531199, 4.514122441, 3.363411394, 2.905238361, 2.753424169, 3.41450624, 2.479339823, 3.27946626, 4.086566338, 3.629339915, 3.308443001, 3.863425442, 2.804013693, 3.164943995, 2.223993458, 3.826030618, 3.561215271, 3.366463743, 3.25174177, 3.049195744, 2.494543647, 3.43959056, 3.195625776, 3.218265385, 3.781703565, 3.361612985, 1.810079876, 2.532044062, 3.993656513, 3.914384667, 3.803364999, 3.089527782, 3.159754444, 2.782757828, 2.64859677, 3.53712388, 3.357846842, 2.761861926, 3.859817999, 2.910037917, 3.361814624, 2.739200467, 2.367848224, 3.136132716, 2.336484668, 3.315224754, 2.473596121, 1.516575581, 3.182329732, 3.201801722, 2.436958876, 3.552649767, 3.855471685, 2.476139051, 3.958892264, 3.275070681, 2.258686387, 3.471413452, 2.966558885, 2.018194629, 3.755869389, 3.532517165, 1.823595183, 2.602287112, 2.571777835, 2.139403004, 2.562818811, 2.837943164, 3.0130325, 3.811248171, 3.178952405, 2.727209454, 2.952668958, 3.236732814, 4.078308002, 3.504833486, 2.974736815, 3.5786339, 2.361086947, 1.36267408, 2.910530822, 3.393975043, 2.402453833, 1.726962043, 2.245147787, 3.050712973, 2.117382542, 2.566639844, 2.491671541, 3.205529765, 3.189609942, 1.482359644, 2.924020725, 3.620354589, 1.785173945, 3.202806072, 2.652158305, 2.313349885, 3.261324745, 3.54354705, 3.02267576, 3.519032434, 2.190132185, 1.825884669, 3.072076141, 3.806670949, 2.721735992, 2.789461516, 3.002957023, 2.926396449, 2.267251114, 2.307552421, 2.586967985, 1.55915194, 4.238296188, 3.401522345, 3.198399272, 2.931619535, 2.594189721, 3.107468683, 3.09182687, 2.39907979, 3.215666827, 3.428859904, 2.847709026, 2.412830961, 2.094761669, 4.046423164, 2.779520719, 2.829699575, 2.086348147, 1.767730708, 2.420806161, 2.895075163, 2.783963128, 2.87098691, 2.208813678, 2.627624971, 1.820810618, 3.434559723, 1.623419609, 2.47175067, 2.32055025, 3.287701824, 3.535088428, 3.128638856, 3.088763958, 3.491093337, 2.664034182, 2.877224878, 2.57494847, 2.39516813, 3.108911449, 2.668919773, 1.13047696, 2.094891706, 2.868428182, 2.159676023, 2.214797519, 3.004742536, 2.18201697, 1.494310895, 2.699562055, 1.809229592, 1.715777167, 1.200483857, 1.139093538, 3.53286158, 2.61816531, 0.968622116, 2.921350141, 1.503854421, 1.443515075, 1.847370423, 1.914089924, 1.977007128, 1.707389729, 2.083814192, 0.26990109, 2.252445963, 0.936497597, 1.838210702, 0.80151572, 1.481616627, 1.428823877, 1.084585303 ], "xaxis": "x", "y": [ 712.3963268, 666.1255917, 657.0199239, 637.1024479, 632.1235881, 626.0186727, 612.3852299, 611.0000251, 604.3348401, 599.406092, 597.7398789, 595.8038189, 593.0772413, 592.6884532, 591.1971782, 590.5627196, 588.7126055, 587.951054, 586.1558702, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 578.9862586, 577.7360249, 577.273455, 576.4776072, 576.3111774, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 571.4710341, 571.3074949, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.516532, 560.5601606, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.2526867, 556.1863689, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452, 499.1401524, 498.6355985, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.6507081, 495.2994425, 495.1759504, 494.6871558, 494.5518611, 493.719193, 493.1802162, 492.5568337, 492.1050524, 490.7386321, 490.6004425, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.379306, 486.1637991, 486.0834255, 485.9231305, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.584286, 478.2621264, 478.1830597, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.0716299, 475.0154071, 474.5323294, 473.7289665, 472.9922467, 471.6028844, 470.4527333, 469.3108615, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 463.923513, 463.7459811, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409 ], "yaxis": "y" }, { "hovertemplate": "OLS trendline
Yearly Amount Spent = 59.046 * Length of Membership + 285.688
R2=0.578982

Length of Membership=%{x}
Yearly Amount Spent=%{y} (trend)", "legendgroup": "", "line": { "color": "red" }, "marker": { "color": "#636efa", "line": { "color": "black", "width": 2 }, "size": 4, "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scatter", "x": [ 0.26990109, 0.80151572, 0.936497597, 0.968622116, 1.084585303, 1.13047696, 1.139093538, 1.200483857, 1.36267408, 1.428823877, 1.443515075, 1.481616627, 1.482359644, 1.494310895, 1.503854421, 1.516575581, 1.55915194, 1.623419609, 1.707389729, 1.715777167, 1.726962043, 1.767730708, 1.785173945, 1.809229592, 1.810079876, 1.820810618, 1.823595183, 1.825884669, 1.838210702, 1.847370423, 1.914089924, 1.920715478, 1.977007128, 2.018194629, 2.083814192, 2.086348147, 2.094761669, 2.094891706, 2.117382542, 2.139403004, 2.159676023, 2.18201697, 2.190132185, 2.208813678, 2.214797519, 2.223993458, 2.245147787, 2.252445963, 2.258686387, 2.267251114, 2.307552421, 2.313349885, 2.32055025, 2.336484668, 2.361086947, 2.367848224, 2.379076497, 2.39516813, 2.39907979, 2.402453833, 2.412830961, 2.420806161, 2.436958876, 2.47175067, 2.473596121, 2.476139051, 2.479339823, 2.491671541, 2.494543647, 2.532044062, 2.562818811, 2.566639844, 2.571777835, 2.57494847, 2.586967985, 2.594189721, 2.602287112, 2.61816531, 2.627624971, 2.633419989, 2.64859677, 2.652158305, 2.664034182, 2.668919773, 2.669941624, 2.685284836, 2.699562055, 2.709526627, 2.721735992, 2.724108202, 2.727209454, 2.735159567, 2.739200467, 2.753424169, 2.761861926, 2.768851943, 2.779520719, 2.782757828, 2.783963128, 2.789461516, 2.804013693, 2.829699575, 2.837943164, 2.847709026, 2.868428182, 2.87098691, 2.871947536, 2.87459691, 2.877224878, 2.895075163, 2.905238361, 2.907094935, 2.90900846, 2.910037917, 2.910530822, 2.921350141, 2.924020725, 2.926396449, 2.926940235, 2.931619535, 2.935577274, 2.941410754, 2.952668958, 2.957448757, 2.964497876, 2.966558885, 2.969640227, 2.972271382, 2.974736815, 2.995761183, 3.002957023, 3.004742536, 3.0130325, 3.015175299, 3.021671822, 3.02267576, 3.023474446, 3.046540621, 3.049195744, 3.050712973, 3.062368145, 3.072076141, 3.086337272, 3.088763958, 3.089527782, 3.09182687, 3.107468683, 3.108911449, 3.120178783, 3.12650949, 3.128638856, 3.130538462, 3.136132716, 3.137068975, 3.159754444, 3.163091931, 3.164943995, 3.178952405, 3.182329732, 3.184618662, 3.189609942, 3.195625776, 3.198399272, 3.201801722, 3.202531199, 3.202806072, 3.205529765, 3.206756698, 3.215666827, 3.218265385, 3.222080767, 3.228717686, 3.229450904, 3.236732814, 3.25174177, 3.261324745, 3.273433578, 3.275070681, 3.275733705, 3.27946626, 3.283663455, 3.287701824, 3.292797663, 3.308443001, 3.310150347, 3.315224754, 3.318822279, 3.336339382, 3.345570976, 3.345922321, 3.350279288, 3.357846842, 3.361612985, 3.361814624, 3.363411394, 3.366463743, 3.371258113, 3.373104674, 3.3766875, 3.392050489, 3.393902788, 3.393975043, 3.397363093, 3.401522345, 3.41450624, 3.414688423, 3.416209978, 3.428859904, 3.434559723, 3.43959056, 3.442799202, 3.447017793, 3.447092896, 3.45175071, 3.452388583, 3.456233824, 3.462298847, 3.467014066, 3.471413452, 3.471919137, 3.47202138, 3.481062133, 3.488029991, 3.491093337, 3.504833486, 3.506967574, 3.515688256, 3.516051017, 3.519032434, 3.525806412, 3.531402303, 3.532517165, 3.53286158, 3.535088428, 3.535802468, 3.53712388, 3.54354705, 3.549036057, 3.552649767, 3.557813698, 3.561215271, 3.569046516, 3.576525915, 3.5786339, 3.597459969, 3.60439856, 3.612239152, 3.620354589, 3.620364988, 3.629339915, 3.634093727, 3.634340224, 3.634996006, 3.63770128, 3.641497162, 3.649286158, 3.656983927, 3.6758488, 3.678589399, 3.680847338, 3.689916615, 3.701229217, 3.701622287, 3.713209203, 3.746572973, 3.755869389, 3.768561963, 3.781703565, 3.781823039, 3.784273087, 3.78493211, 3.790552137, 3.792711955, 3.798725319, 3.802511439, 3.803364999, 3.806670949, 3.811248171, 3.826030618, 3.827375915, 3.834169667, 3.843848921, 3.8515788, 3.854473856, 3.855471685, 3.859817999, 3.863425442, 3.864860739, 3.872432042, 3.873337569, 3.89289148, 3.89711586, 3.90447938, 3.905250309, 3.911708668, 3.914384667, 3.917451119, 3.918541839, 3.919302309, 3.923488746, 3.958892264, 3.969417759, 3.970555628, 3.97452248, 3.982471513, 3.993656513, 3.997255378, 4.000963586, 4.001786346, 4.003325039, 4.008352235, 4.01598664, 4.01872661, 4.019051427, 4.02210291, 4.027813842, 4.029453828, 4.03438613, 4.041244969, 4.046423164, 4.048510087, 4.051382465, 4.055775962, 4.078308002, 4.081802695, 4.082620633, 4.082855279, 4.086566338, 4.087837273, 4.089330841, 4.106055152, 4.113226123, 4.116340467, 4.124585297, 4.125584363, 4.129254688, 4.131276648, 4.13175504, 4.137000388, 4.158214653, 4.183143662, 4.193324636, 4.198349061, 4.20590389, 4.214495086, 4.222436225, 4.238296188, 4.243812817, 4.25698329, 4.297737482, 4.301996499, 4.330714462, 4.331863027, 4.334001444, 4.343062915, 4.349778419, 4.350887844, 4.369366794, 4.389455226, 4.396651901, 4.403369831, 4.434273435, 4.446308318, 4.470282584, 4.478712608, 4.514122441, 4.520353377, 4.531986607, 4.541695257, 4.543332413, 4.560396067, 4.571213024, 4.595522709, 4.599937358, 4.626075292, 4.632460946, 4.64325855, 4.646119977, 4.652854446, 4.662845304, 4.671275461, 4.685017247, 4.712233579, 4.717102513, 4.72402744, 4.729484542, 4.74257752, 4.746989703, 4.750360071, 4.773503047, 4.778973636, 4.789201624, 4.806349619, 4.808320373, 4.852842407, 4.968742674, 4.985204971, 5.004820577, 5.047022551, 5.066696864, 5.081210092, 5.084861309, 5.113319475, 5.314354141, 5.493507201, 6.076653638 ], "xaxis": "x", "y": [ 301.62448329255744, 333.01421994364, 340.98436473009707, 342.88119023968227, 349.7283567692231, 352.43807720658543, 352.9468519825045, 356.5717069763107, 366.14839674376566, 370.0542800475275, 370.92173705545247, 373.1714826715156, 373.21535488014405, 373.9210288785082, 374.4845362595273, 375.23567033252357, 377.74963556439076, 381.54438667026034, 386.5024894097576, 386.99773437695734, 387.65815696938114, 390.06538503600945, 391.09533903816396, 392.5157296400957, 392.5659355398819, 393.19954331973304, 393.3639608453339, 393.49914591841275, 394.2269493082904, 394.76779452541206, 398.7073165921423, 399.0985292930184, 402.42232809282734, 404.8542867650449, 408.72886185288456, 408.8784818513705, 409.37526697537675, 409.3829451447772, 410.71093985986374, 412.0111608547509, 413.2082022671221, 414.52734663089893, 415.00651790900486, 416.1095860196756, 416.4629081115676, 417.0058918580258, 418.25497113250015, 418.68589949629114, 419.05437179727187, 419.56008497717136, 421.93971740644525, 422.28203467526106, 422.707187687212, 423.64805190817646, 425.1007189629309, 425.4999455689688, 426.1629305822226, 427.11307772575753, 427.34404574345217, 427.54326960833987, 428.1559978831704, 428.62690183052734, 429.58065562404124, 431.63497314964945, 431.7439397160746, 431.8940896527348, 432.0830825518959, 432.81122161848896, 432.9808080931388, 435.1950589521799, 437.01218589357575, 437.2378027461539, 437.54118074838385, 437.7283941771541, 438.4380988941287, 438.8645137789178, 439.34263262047574, 440.2801772732889, 440.8387327584879, 441.1809056006993, 442.0770343599871, 442.2873288842812, 442.98855234671794, 443.2770271294283, 443.33736338049545, 444.2433192306227, 445.0863324195559, 445.6747008979041, 446.39561550483836, 446.53568510221015, 446.71880173985545, 447.188224399304, 447.4268235267083, 448.2666767489258, 448.7648928536177, 449.1776256499604, 449.80757458313667, 449.99871303811267, 450.06988122546215, 450.39453924197585, 451.25378761091173, 452.7704371275565, 453.25718838150476, 453.83382382201324, 455.05720785580615, 455.20829060174515, 455.2650117592501, 455.42144679218035, 455.57661788566105, 456.63060645873094, 457.23070301505186, 457.3403263505369, 457.45331241682567, 457.5140977720436, 457.5432018584831, 458.1820397590767, 458.3397271584333, 458.48000424357605, 458.51211265137994, 458.78840676825064, 459.0220955682442, 459.3665394390973, 460.0312917592586, 460.3135199437145, 460.72974247888465, 460.85143689076625, 461.0333779218322, 461.1887371950301, 461.3343112410282, 462.5757168336009, 463.0006026622383, 463.1060301273498, 463.5955196412237, 463.7220434284005, 464.10563736018844, 464.1649159196104, 464.2120751620242, 465.5740413644927, 465.7308158530846, 465.82040221143853, 466.5085939184709, 467.0818126010526, 467.9238758573565, 468.0671620465926, 468.1122628260948, 468.2480148592126, 469.1716019147748, 469.2567915281403, 469.9220829386114, 470.2958860928722, 470.4216167146456, 470.5337809191575, 470.864099442971, 470.9193818257136, 472.2588688479505, 472.45593422594135, 472.56529126380343, 473.39243234681015, 473.5918501188805, 473.72700236236324, 474.0217176615863, 474.3769288133122, 474.5406927583391, 474.74159394397515, 474.7846666692744, 474.80089683036397, 474.96172010565346, 475.0341656359025, 475.560273434774, 475.71370798433213, 475.9389911677601, 476.33087492683677, 476.37416854335714, 476.8041364643244, 477.69035582259846, 478.25619251069696, 478.9711711015268, 479.067835544416, 479.10698448347614, 479.3273770608694, 479.57520478849096, 479.8136544703778, 480.11454356409274, 481.0383387569323, 481.13915077053747, 481.43877438960607, 481.6511939807405, 482.6855094774, 483.2305985102765, 483.2513440398412, 483.5086056707475, 483.95543973765956, 484.1778155533144, 484.18972153699394, 484.28400447610784, 484.4642335854482, 484.7473221296966, 484.85635423722186, 485.0679059106712, 485.975029514255, 486.08440042793563, 486.0886667992763, 486.28871772199204, 486.5343050658646, 487.3009525991639, 487.3117097831645, 487.4015515746707, 488.14847956232916, 488.4850312809469, 488.78208226422123, 488.9715398556867, 489.22063093229724, 489.22506546674884, 489.50009092048725, 489.5377547926926, 489.7648010317135, 490.12291659891065, 490.40133159035315, 490.6610978950662, 490.69095658984736, 490.6969936337196, 491.2308142620147, 491.6422386572428, 491.82311709584246, 492.6344184301504, 492.7604278673065, 493.27534957177096, 493.2967691708841, 493.47281002678955, 493.8727865765324, 494.20320175870705, 494.26902994064085, 494.2893662811751, 494.42085282864275, 494.4630140602822, 494.54103820097896, 494.92030092887853, 495.2444050345273, 495.45778028575654, 495.7626899421638, 495.9635393444262, 496.42594331965176, 496.8675721832487, 496.99204034172357, 498.10364509211416, 498.51334138700275, 498.9762972655281, 499.4554816518541, 499.4560956715838, 499.98602953550454, 500.2667232906195, 500.2812779613878, 500.3199992890543, 500.47973499540427, 500.70386678112766, 501.16377612037275, 501.6182988668797, 502.7321948396563, 502.8940163472326, 503.02733869500963, 503.56284355243935, 504.2308078588741, 504.2540170842964, 504.9381785450865, 506.9081769139939, 507.4570934290245, 508.20653961203186, 508.9824991185514, 508.98955358467214, 509.1342192074044, 509.173131903274, 509.5049722205767, 509.63250091224245, 509.98756622025905, 510.21112159857773, 510.26152093317825, 510.4567241763276, 510.7269909919221, 511.599835891598, 511.6792703468678, 512.0804144729291, 512.6519360543404, 513.1083547690674, 513.2792963502466, 513.3382141974337, 513.5948468109171, 513.8078520206379, 513.8926006191596, 514.339656049661, 514.3931238296212, 515.5477047650419, 515.7971376591556, 516.2319243271315, 516.2774446287204, 516.6587851275856, 516.8167922612278, 516.9978540968157, 517.0622567893452, 517.1071595284421, 517.354352038807, 519.4447894418217, 520.066278199895, 520.1334648539821, 520.3676917405029, 520.8370506302324, 521.4974805443646, 521.7099792571876, 521.9289342407391, 521.9775149574268, 522.0683686799002, 522.365204676557, 522.8159860300306, 522.97777039765, 522.9969495539683, 523.1771275294413, 523.5143354266586, 523.61117009927, 523.902402981374, 524.307390236789, 524.6131421258557, 524.7363666567177, 524.9059691918893, 525.1653877744956, 526.4958154224548, 526.7021631916018, 526.7504591883032, 526.7643141044974, 526.983437428298, 527.0584811022289, 527.146670372322, 528.1341746439045, 528.5575920566694, 528.7414817250198, 529.2283062550989, 529.2872971422328, 529.5040152847976, 529.6234040080143, 529.6516511593313, 529.9613681668624, 531.2139864245584, 532.685945590698, 533.2870917493572, 533.5837641294479, 534.0298468355501, 534.53712290498, 535.0060156853003, 535.9424836336445, 536.2682187089034, 537.0458829335321, 539.4522564268793, 539.7037344985466, 541.3994163794714, 541.4672345899609, 541.5934996374074, 542.1285435814791, 542.5250674733052, 542.5905746219405, 543.6816833713151, 544.8678256530148, 545.2927607850925, 545.6894279226022, 547.5141632409837, 548.2247753774417, 549.640360753907, 550.1381202556015, 552.2289305343344, 552.5968426065243, 553.2837387254318, 553.8569960241211, 553.9536635964503, 554.961204727072, 555.5999031609282, 557.0352936997867, 557.2959612241492, 558.8393026195193, 559.2163501763274, 559.8539058922464, 560.0228618142764, 560.4205055141778, 561.0104260766318, 561.5081934314491, 562.3195914241181, 563.9266079467606, 564.2140991996471, 564.622988689498, 564.9452089313639, 565.7182973834226, 565.9788193002599, 566.1778261709649, 567.5443271680542, 567.8673437638096, 568.4712659128114, 569.4837870451664, 569.600152257057, 572.2290018852746, 579.072453238222, 580.0444866216936, 581.2027104023134, 583.6945696839435, 584.8562598802065, 585.713208465081, 585.9287983559874, 587.6091402538633, 599.4794404062093, 610.0577184600612, 644.4902040491938 ], "yaxis": "y" } ], "layout": { "autosize": true, "legend": { "tracegroupgap": 0 }, "margin": { "t": 60 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ -0.06764864289841632, 6.4142033708984165 ], "title": { "text": "Length of Membership" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 233.54290442812498, 744.939763271875 ], "title": { "text": "Yearly Amount Spent" }, "type": "linear" } } }, "image/png": "iVBORw0KGgoAAAANSUhEUgAABkUAAAFoCAYAAADpffw2AAAAAXNSR0IArs4c6QAAIABJREFUeF7s3QV4VtXjB/DvOmCsqLGNDunubumWkB8toKhYgIJIiYQYCIJIo4ikEirN6O7uWLKNEWNd//+5CzYYvHHv7t243/s8Pgzee+pz7ia83/ecY5GUlJQEXhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClDgNRewYCjyms8wh0cBClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoIAkwFCEDwIFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6EGAoootp5iApQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhRgKMJngAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAV0IMBTRxTRzkBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCjAU4TNAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKCALgQYiuhimjlIClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGIrwGaAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUEAXAgxFdDHNHCQFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIMRfgMUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUooAsBhiK6mGYOkgIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAYYifAYoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhTQhQBDEV1MMwdJAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAAQxE+AxSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCuhCgKGILqaZg6QABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIChCJ8BClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFdCHAUEQX08xBUoACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUowFCEzwAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6EGAoootp5iApQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhRgKMJngAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAV0IMBTRxTRzkBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCjAU4TNAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKCALgQYiuhimjlIClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGIrwGaAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUEAXAgxFdDHNHCQFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIMRfgMUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUooAsBhiK6mGYOkgIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAYYifAYoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhTQhQBDEV1MMwdJAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAAQxE+AxSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCuhCgKGILqaZg6QABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIChCJ8BClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFdCHAUEQX08xBUoACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUowFCEzwAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6EGAoootp5iApQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhRgKMJngAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAV0IMBTRxTRzkBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCjAU4TNAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKCALgQYiuhimjlIClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGIrwGaAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUEAXAgxFdDHNHCQFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIMRfgMUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUooAsBhiK6mGYOkgIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAYYifAYoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhTQhQBDEV1MMwdJAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAAQxE+AxSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCuhCgKGILqaZg6QABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIChCJ8BClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFdCHAUEQX08xBUoACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUowFCEzwAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6EGAoootp5iApQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhRgKMJngAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAV0IMBTRxTRzkBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCjAU4TNAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKCALgQYiuhimjlIClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGIrwGaAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUEAXAgxFdDHNHCQFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIMRfgMUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUooAsBhiK6mGYOkgIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAYYiMp+BgAdRZtVQ0NUelpYWCHoYjcTEJLPqYCEKUMB0AScHa8DCAuGRcaYXZgkKUMBsAedcNohPSEJEdLzZdbAgBShguoBrbltExyUgKibB9MIsQQEKmC3g5mSLyOh4RMclml0HC1KAAqYL5HW2w+OIOMTF83vPdD2WoID5Avld7BEWHiP9m4+XOgKF3B3Uaeg1bYWhiMyJNTsUcXOApQUQFBYFZiIyJ4HFKWCCAEMRE7B4KwUUFGAooiAmq6KACQIMRUzA4q0UUFCAoYiCmKyKAiYIMBQxAYu3UkBBAYYiCmIaWRVDESOhXnIbQxF5fmAoIhOQxSmgsgBDEZXB2RwFUgQYivBRoIA2AgxFtHFnqxRgKMJngALaCDAU0cadrVKAoYj6zwBDEXnmDEXk+TEUkenH4hRQW4ChiNribI8CyQIMRfgkUEAbAYYi2rizVQowFOEzQAFtBBiKaOPOVinAUET9Z4ChiDxzhiLy/BiKyPRjcQqoLcBQRG1xtkcBhiJ8BiigpQBDES312baeBRiK6Hn2OXYtBRiKaKnPtvUswFBE/dlnKCLPnKGIPD+GIjL9WJwCagswFFFbnO1RgKEInwEKaCnAUERLfbatZwGGInqefY5dSwGGIlrqs209CzAUUX/2GYrIM2coIs+PoYhMPxangNoCDEXUFmd7FGAowmeAAloKMBTRUp9t61mAoYieZ59j11KAoYiW+mxbzwIMRdSffYYi8swZisjzYygi04/FKaC2AEMRtcXZHgUYivAZoICWAgxFtNRn23oWYCii59nn2LUUYCiipT7b1rMAQxH1Z5+hiDxzhiLy/BiKyPRjcQqoLcBQRG1xtkcBhiJ8BiigpQBDES312baeBRiK6Hn2OXYtBRiKaKnPtvUswFBE/dlnKCLPnKGIPD+GIjL9WJwCagswFFFbnO1RgKEInwEKaCnAUERLfbatZwGGInqefY5dSwGGIlrqs209CzAUUX/2GYrIM2coIs+PoYhMPxangNoCDEXUFmd7FGAowmeAAloKMBTRUp9t61mAoYieZ59j11KAoYiW+mxbzwIMRdSffYYi8swZisjzYygi04/FKaC2AEMRtcXZHgUYivAZoICWAgxFtNRn23oWYCii59nn2LUUMCcU2bNrO36YNQ2XLp5HkSLF0G/gO+g/aKiWw2DbFMhxAgxF1J8yhiLyzBmKyPNjKCLTj8UpoLYAQxG1xdkeBRiK8BmggJYCDEW01GfbehZgKKLn2efYtRQwNRR5EBqCWlXKIDo6OkO3127cinr1G2k5FLZNgRwlwFBE/eliKCLPnKGIPD+GIjL9WJwCagswFFFbnO1RgKEInwEKaCnAUERLfbatZwGGInqefY5dSwFTQ5F/t2zEOwN6I2+BGmjdcTOO7h+FG1d+x4efjMGYsRO0HArbpkCOEmAoov50MRSRZ85QJMUvMTEJwQ8eIq+bM6ytrF5QDX8aifiEBLg6O2V4LeBBlFkzUNDNAZYWQFBYFBKTzKqChShAATMEGIqYgcYiFFBAwDmXDeITkhARHa9AbayCAhQwVoChiLFSvI8CygowFFHWk7VRwFgBc0ORfAVqolXHTTh2YDSuX/6NoYix4LyPAikCDEXUfxQYisgzf+1Dkbt+99G275gXlBwd7HH8v1+kP997+Cw+mzwfkVHJyyUnfDoAb3VoIn0t/mzM1wuw++Bp6feVypXAnK8/lMITcTEUkfcAsjQF1BZgKKK2ONujQLIAQxE+CRTQRoChiDbubJUCDEX4DFBAGwFTQ5GQ4PvS9lmxsbEZOrx+03bUqddAm0GwVQrkQAGGIupPGkMReeavfSgSF5+AgKDQDEp/btyNvYfP4N/fZyAqOhaNunyI9wd1wdtdW8Dn0BmMHD8H21Z9Cy+PfFj0xz9Yu9kHv80ZBwd7W7z7+Q8oVtgDU0YPYigi79ljaQpoIsBQRBN2NkoBhiJ8BiigkQBDEY3g2azuBRiK6P4RIIBGAqaGIqKbPGhdo8lis6+VAEMR9aeToYg889c+FHmeJyIyGk26fYSvPu6HDq3qSatE3vviB5zevhC2tjbS7WJliQhI3u7aEt3fmYDWTWrinbfbS69t8zmGTybOw4U9S2FhYcGVIvKeP5amgOoCDEVUJ2eDFJAEuFKEDwIFtBFgKKKNO1ulAEMRPgMU0EbAnFBEm56yVQq8XgIMRdSfT4Yi8sx1F4rMX7ERm7cfwqbl30hnh6zZ7INlq/+TVo2kXh+Mm42i3h74dPhbqNlmOL4eM1gKRsR16dod9Bg6EYc2/wxnp1wIfpS85ZapVz5ne1hYACGPo5HEM0VM5eP9FDBbIJedFcQ3H881MJswRxW0EL0VP2x5aS6Q28EaCQlJiIpN0Lwv7AAF9CSQx8EGMfEJiIlLzHbDFn8F5k/obDct7JBCAs6ONoiKjUdsPP+xpxApq1FZICmHvlEhPgwQHhWP+ITs9/89laeQzVFAVQE3Jzs8johFAg9OVs1dBFG8zBfQVSgSGvYYjbuOxE9TPkTzhtUkNbE91tY9x7Bu4aQ0RXG+SG5HB0z4tD8qNB2IedM+RuO6laXXb97xR8cB47Bz9XfwKOCOuHjz/kdrY20p1WduefOnnCUpoG8BS8vkt18S+T9qXTwI4mBvayu+5ZYdJtvK0gLibSF+72WH2WAf9CRgZWUhfQAnO37viX80i58NvCjwOgpI33uJQGIOfWP5dZwTjsk0gYSERFhZJb9vkZMu8b0n/p/Hb72cNGvs6+sgIP7dLf5ux+899WYz9b1l9Vp8vVrSVSgyfe4fOH3+Ov785Stp6ytxGbNSZOrnQ9CqcQ3p/udXivCg9dfrG4Kjef0FuH3W6z/HHGH2FOD2WdlzXtir11+A22e9/nPMEWZPAW6flT3nhb16/QW4fdbrP8ccYfYU4PZZ6s8Lt8+SZ66bUMQ3IBhv9hmNRbNGoW6N8mlqqWeKnNmxCDY21tKft+49Cv16tEo7U+TNprUwpE876TWeKSLvgWNpCmgtwFBE6xlg+3oVYCii15nnuLUWYCii9Qywfb0KMBTR68xz3FoLMBTRegbYvl4FGIqoP/MMReSZ6yYU+fybXxEUHIZlP36eQSwyKgY12wzDmBG90adrC/gcOoOR4+dg26pv4eWRDwtXbsG6LXvx25xxcHSww/Ax36NYYQ9MGT1IqocrReQ9gCxNAbUFGIqoLc72KJAswFCETwIFtBFgKKKNO1ulAEMRPgMU0EaAoYg27myVAgxF1H8GGIrIM9dFKHL1pi+6Dh6P3+eOQ9UKpV4Q233wNMTh6qnXlx/9D707N5d+GxEZDXHGyL4jZ6XfVyhTDHOmjkT+vC7S7xmKyHsAWZoCagswFFFbnO1RIFmAoQifBApoI8BQRBt3tkoBhiJ8BiigjQBDEW3c2SoFGIqo/wwwFJFnrotQxBgicYhYUEgY8ru7pG2jlb7c4/AIxMXFI6+bc4bqGIoYo8t7KJB9BBiKZJ+5YE/0JcBQRF/zzdFmHwGGItlnLtgTfQkwFNHXfHO02UeAoUj2mQv2RF8CDEXUn2+GIvLMGYrI8+NKEZl+LE4BtQUYiqgtzvYokCzAUIRPAgW0EWAooo07W6UAQxE+AxTQRoChiDbubJUCDEXUfwYYisgzZygiz4+hiEw/FqeA2gIMRdQWZ3sUYCjCZ4ACWgowFNFSn23rWYChiJ5nn2PXUoChiJb6bFvPAgxF1J99hiLyzBmKyPNjKCLTj8UpoLYAQxG1xdkeBRiK8BmggJYCDEW01GfbehZgKKLn2efYtRRgKKKlPtvWswBDEfVnn6GIPHOGIvL8GIrI9GNxCqgtwFBEbXG2RwGGInwGKKClAEMRLfXZtp4FGIroefY5di0FGIpoqc+29SzAUET92WcoIs+coYg8P4YiMv1YnAJqCzAUUVuc7VGAoQifAQpoKcBQREt9tq1nAYYiep59jl1LAYYiWuqzbT0LMBRRf/YZisgzZygiz4+hiEw/FqeA2gIMRdQWZ3sUYCjCZ4ACWgowFNFSn23rWYChiJ5nn2PXUoChiJb6bFvPAgxF1J99hiLyzBmKyPNjKCLTj8UpoLYAQxG1xdkeBRiK8BmggJYCDEW01GfbehZgKKLn2efYs0rg/NnTmPb1BJw8fhR58+VD2/adMXrsBNjY2KQ1yVAkq/RZLwVeLcBQRP0nhKGIPHOGIvL8GIrI9GNxCqgtwFBEbXG2RwGGInwGKKClAEMRLfXZtp4FGIroefY59qwQiI+PR51qZREY4J+h+m9m/oj+g4YyFMkKdNZJARMEGIqYgKXQrQxF5EEyFJHnx1BEph+LU0BtAYYiaouzPQowFOEzQAEtBRiKaKnPtvUswFBEz7PPsWeFwLWrl9G0fnXYO+RDlz4ncO3SMpw8PAFt2nXEouV/MhTJCnTWSQETBBiKmICl0K0MReRBMhSR58dQRKYfi1NAbQGGImqLsz0KMBThM0ABLQUYimipz7b1LMBQRM+zz7FnhcALocjFpTh5ZCJDkazAZp0UMENAbigSExODa1cuwT1ffhQq5GlGD/RXhKGIvDnXJBR58PAJbGyskSe3Y4beR8fEQrxWqIA7LCws5I1MpdIBD6LMaqmgmwMsLYCgsCgkJplVBQtRgAJmCDAUMQONRSiggIBzLhvEJyQhIjpegdpYBQUoYKwAQxFjpXgfBZQVYCiirCdro8DLts+aNusn9BswJA2IZ4rwWaGANgJyQpFVvy/DhHGjERHxVOp8zdp1sfT3tXB1ddNmMDmkVYYi8iZKk1Dkg3GzUa5MUbzbr1OG3t+47Y9OA8dh5+rv4FHAXd7IVCrNUEQlaDZDAYUEGIooBMlqKGCiAEMRE8F4OwUUEmAoohAkq6GAiQIMRUwE4+0UMEIgs4PWx4ybCGtra4YiRvjxFgpkpYC5oUjE06eoVLYIoqOikMelFCKf+iE+PgofffYFRn0+Piu7nOPrZigibwqzVSgSeP8BWvT8FBsWT0GZEt7yRqZSaYYiKkGzGQooJMBQRCFIVkMBEwUYipgIxtspoJAAQxGFIFkNBUwUYChiIhhvp4BCAlwpohAkq6GAiQLmhiLnzpxCmxYN4OxSGt37XcDNq6vhs+1/aNm6LZatXGdiL/R1O0MRefOtaiiyeuNuREbFYO0WHxQqmBf1a1RI631cfDx27T+FgPuh8Fk/G1ZWlvJGplJphiIqQbMZCigkwFBEIUhWQwETBRiKmAjG2ymgkABDEYUgWQ0FTBRgKGIiGG+ngEICDEUUgmQ1FDBRwNxQ5O6d26hXozysrR3RsOUi3L62Fndu/oXub/XB7HmLTOyFvm5nKCJvvlUNRVr3HgW/wJBMe+zoYI+m9aqga7tGqFOtnLxRqViaoYiK2GyKAgoIMBRRAJFVUMAMAYYiZqCxCAUUEGAoogAiq6CAGQIMRcxAYxEKKCDAUEQBRFZBATMEzA1FRFOtm9XDhXNnMrS6buM21K3f0Iye6KcIQxF5c61qKJLa1Zk/r0KxIh7o0b6JvN5ng9IMRbLBJLALFDBBgKGICVi8lQIKCjAUURCTVVHABAGGIiZg8VYKKCjAUERBTFZFARMEGIqYgMVbKaCggJxQ5NGjh1i+eAFOnTyOfPkLoHPXHmjQqKmCvXs9q2IoIm9eNQlF5HU5e5VmKJK95oO9oYAhAYYihoT4OgWyRoChSNa4slYKGBJgKGJIiK9TIGsEGIpkjStrpYAhAYYihoT4OgWyRkBOKJI1PXr9a2UoIm+ONQtF7oc8xMHj53HPP/iFEQzv1xH2drbyRqZSaYYiKkGzGQooJMBQRCFIVkMBEwUYipgIxtspoJAAQxGFIFkNBUwUYChiIhhvp4BCAgxFFIJkNRQwUcCUUMQiKhJW9+7BKsAP1v5+sPRN/jqhcFGEjxprYsv6vZ2hiLy51yQU2eZzDJ9MnCf13M3FCTY21hlGsXHpVDjldpQ3MpVKMxRRCZrNUEAhAYYiCkGyGgqYKMBQxEQw3k4BhQQYiigEyWooYKIAQxETwXg7BRQSYCiiEKSK1Zw4dgSnThyDe758aNa8FVzd3FVsnU0pJZAaiiRExUgBh5W/P6z8/aSvpdBDfJ36+8ePM202rnpNhGzbq1SXXvt6GIrIm2JNQpGewyYhl6M95n7zERwd7OSNQOPSDEU0ngA2TwETBRiKmAjG2ymgkABDEYUgWQ0FTBRgKGIiGG+ngEICDEUUgmQ1FDBRgKGIiWAa3z7mk/fx+4olab1wcsqDLdv3omSpMhr3jM2/TCA12LDy800OPsSvAX6wC7mPpNu3YBkaahAvyc4eCYU8keAp/vNCQiEvJHoXRnzJUoipx8PVDQKm3MBQxFipzO/TJBTp2H8s3mxWG+/17ySv99mgNEORbDAJ7AIFTBBgKGICFm+lgIICDEUUxGRVFDBBgKGICVi8lQIKCjAUURCTVSkm4Od7D/t8diE6Ohr1GzZGmTfKKVZ3dqmIoUh2mQnD/QgNCUblskVhYWGJ0uUGIjjoCB4+uIgBg4dh6owfDFfAOxQXsAwNSVvRYe3vC8vU4CNlhYdVUCCQkPDqdq2skFDQQwo6pMDD0xOJXt6I9/RO+b0XEvPmU7zveqyQoYi8WdckFJn1y2qcuXADv88dJ6/32aA0Q5FsMAnsAgVMEGAoYgIWb6WAggIMRRTEZFUUMEGAoYgJWLyVAgoKMBRREJNVKSKwa8dWDPrfW4iPj0+rb8q07zDonXcVqT+7VMJQJLvMhOF+nD51Au1bNYKrWzl07XsGt6+vx+7/eqNZi9b47c+/DFfAO0wSsHzyJG37KrHaI/Ucj+RtrfxhFeAPi5hog3UmuudFgldKwCGCD+lrT+QpUxyP3AoiJl9BwMrKYD28Qb4AQxF5hpqEIhu3HcTYaQsxsFcbeOR/ca/AHu0bw9bWRt7IVCrNUEQlaDZDAYUEGIooBMlqKGCiAEMRE8F4OwUUEmAoohAkq6GAiQIMRUwE4+1ZLtCtYyscOXQABT0bwt4hP+7cWA/3vPlw7srdLG9bzQYYiqipLa+t9CtFylR4B0H++/Ao7DJXipjBahEbk3xweeqKDhF6+PlKh5hb+Sdvc2UR8dRgzYnOzulWeCRvaZV+xYf4OsnWNtN6TDlo3WBHeINRAgxFjGJ66U2ahCIffTUXO/adeGmnDm3+Gc5OueSNTKXSDEVUgmYzFFBIgKGIQpCshgImCjAUMRGMt1NAIQGGIgpB6qSaQwf34a91qxF8PwjVqtdE/8HD4OLiqpPRKztMhiLKerI2+QI1K5dGgL8fuvU9B2fX0lgyxwFAEm7cC4WDo6P8BrJJDQxFsslEGNmN588UyZPHGf/uPIBixUsYWYMObouPh1VgQPLh5X5+UtBhKQUdKQeXi9+HPTAIkWTvkLadVdo5HmJbK7HSQ6z4KFwYSQ7m/yxgKGJwChS/gaGIPFJNQhF5Xc5epRmKZK/5YG8oYEiAoYghIb5OgawRYCiSNa6slQKGBBiKGBLi66kChw/uR/dOrTOAVKhUBdt2HyKSGQIMRcxAY5EsFeBKkSzlZeUyBI4dOYTTJ48jb/780tZZrq5uMmrLYUWTkmB1P+i5FR6pqztSQo+QYCAx8ZUDS7KxQaJHISnciPdKPssjMd0ZHtJB5m5Z68pQRP1nj6GIPHPNQpGkpCTc8Q1CUHAYihcphAL5XHHP/z4cHeyR181Z3qhULM1QREVsNkUBBQQYiiiAyCooYIYAQxEz0FiEAgoIMBRRAFEnVYz+5H2sXLEEhYt3RIkyvXBg13DExT7B3sOnUbJUGZ0oKDdMhiLKWbImZQQyO1Pk6+nfY+CQ4co0kE1q4UqRbDIR7IYkYBkWlrzCI2VVR+r7dXdYAAAgAElEQVQKD2s/P+nPLQMDYBEX92otS0sk5Mufdkh5gqc3ElOCj7StrQoUBCwsNFVnKKI+P0MReeaahCIRkdEYPuZ7nDp/Ter99LFD0aFVPXw4/ifcuReETcu/kTcqFUszFFERm01RQAEBhiIKILIKCpghwFDEDDQWoYACAgxFFEDUSRVDB/bBP5v/RsMWi1C6XD/89Ud1hIWex6b/9qB6zdo6UVBumAxFlLNkTcoJ+Pnewz6fXYiOjkaDRk1QukxZ5SrPJjUxFMkmE6GDblhERUrbWVn5+aZsbZWypVVaCOIPi8gIgxKJbu7pAo/kFR7xnuIAc6/kba08CgHW1gbr0foGhiLqzwBDEXnmmoQiazb7YM7i9Rj9Xm/8vn4H+nZrKYUix05fwcCPp2PPuh+RP6+LvJGpVJqhiErQbIYCCgkwFFEIktVQwEQBhiImgvF2CigkwFBEIUgdVPPTDzMxY+pEWFnZwcm5uHTYra2tLc5euQuxxzsv0wQYipjmxbspoJQAQxGlJPVdj1i9kXpAeerh5Za+KQeZpxxmbvn4sUGkpFy5keDpCbG6QwQdieL8DhF4iLBD/CrO8bC1M1hPTriBoYj6s8RQRJ65JqFIl0FfonWTWhjeryOGjpqFDi3rSaFI2KNwNOz8Af78ZQIqvlFM3shUKs1QRCVoNkMBhQQYiigEyWooYKIAQxETwXg7BRQSYCiiEKQOqgkPf4KBfXtAnC0iLnHw8sQpM9C3/2AdjF75ITIUUd6UNVLAGAGGIsYo6fyehITMz/EI8IO1WPUhDi4PDQGSkl4JlWRriwQPEXiIgCM5+EgLPVKCj0SXnPGBbyWeCIYiSiiaVgdDEdO8nr9bk1CkY/+x6NymAQb1apshFLl5xx8dB4zD9j9nwbNgXnkjU6k0QxGVoNkMBRQSYCiiECSroYCJAgxFTATj7RRQSIChiEKQOqomMDAAIfeDUKZsedjZvR6fXtVi+tQMRU6fOoHjRw/D1c0NTZu1RN58+bUYMts0U+DSxfOYOulLnDx+VJrDNu06Ycy4ifz+M9OToYiZcK9RMRFopJ7hYe3vC0sp6PB/dph5UCCQkPDqEVtZIaGgx7MVHZ6eUuARn+7w8kT3vJqf45Gdpo2hiPqzwVBEnrkmociUH1bgwLHzWP7TF/hq5hJppUjzhtUxasp8nLt0Ez7rZ8PKylLeyFQqzVBEJWg2QwGFBBiKKATJaihgogBDERPBeDsFFBJgKKIQJKuhgIkCaoUik7/6AgvmzU7rnVjh8/eWnahQqYqJPebtWggkJiaiYe1KuHP7Vobmx0/6BsNHfKRFl3J8mwxFcvwUvnIAlk+ePAs3xIoOsaVVujM8rAL8YRETbRBBBBoJ6beykr5OXfXhLQUisLIyWA9veCbAUET9p4GhiDxzTUKRh4/D0W3IV7gf8lDqvZdHPmnrrMioaMz9ZiSa1qsqb1QqlmYooiI2m6KAAgIMRRRAZBUUMEOAoYgZaCxCAQUEGIoogMgqKGCGgBqhyNOn4Shb3APijfXS5QYiNOQUwkLOokevvvhx7q9m9JpF1BbwvXcXdaqVha2dM7r2OY1b19fi2IExaNq8FX5f/bfa3Xkt2mMoknOn0SI2Blb3Us7tSAk6xCoPa3GGh3/yag+LiKcGB5jo7JxuhYcXEr0LZ1jxIc7zEFtf8VJWgKGIsp7G1MZQxBill9+jSSgiuhMVHYs1m/fg4pXbCI+IQjHvgujStiFKFfOSNyIDpSMio/HkaSQK5HWFpaVF2t2JiUkIfvAQed2cYZ1JGhz+NBLxCQlwdXbK0AJDkSydLlZOAcUFGIooTsoKKWCUAEMRo5h4EwUUF2AoojgpK6SAUQJqhCLXrl5G0/rVkdupCHoOvA6/u9uwbWMH1K5bHxs27zCqnznppqSkJOzz2QWx3VThIsXQrEVrODg45KQhvNBXP997qF31DdjYOqFb33O4dW0NQxGZM8pQRCZgVhUX53gE+Cev6vDzk4IOSynoEIFH8n+WYQ8Mtp5k75DuDI/kA8ulba3ESg9xeLk4uNzB0WA9vEF5AYYiypsaqpGhiCGhV7+uWSgir9uml957+Cxm/PwH7vrdlwr/teRrlC6eHMCI1z6bPF9aqSKuCZ8OwFsdmkhfiz8b8/UC7D54Wvp9pXIlMOfrD6XwRFwMRUyfC5aggJYCDEW01GfbehZgKKLn2efYtRRgKKKlPtvWs4AaoYhYKVKmaAGJuUz5QQgJPvlarxTp2bUdDuzbk/ZYFSzogZ37jsHVzT3HPmpilU+DWhVx987tDGP4atI0DBsxMseOS8uOMxTRQD8pCVYhwc8CjgCxrVVK4JG6tdX9ICAx8dWds7ZOPscj7dyO5MPLkw8y95K2u0rMwd/vGsyMqk0yFFGVW2qMoYg8c81CkYPHL2D9P3tx+16gNIISRT3Ru3NzVK9UWt6IMintc+gMRoz9Ee+83R6dWteXVnvY2dnCwd5WWrHSqMuHeH9QF7zdtQXEvSPHz8G2Vd9K23ot+uMfrN3sg9/mjJPuf/fzH1CssAemjB4ktcRQRPHpYoUUyFIBhiJZysvKKfBSAYYifDgooI0AQxFt3NkqBdQIRYRyZmeKbPxnF8pXrPxaTcKpk8fRoXVjWNvkQumy/XH39hZEhN+DofDg8eNH2L1zG4KDglCpSjXUrd8w27nwoHVlp4ShiLKeojbLsLB053Y8W+Fh7ecn/bllYAAs4uJe3bClJRLy5X8WcHh6I9ErJewQKzxE6JG/AGCZM84XVl4559fIUET9OWQoIs9ck1BEBCJDR82Sel6/ZgXY2FhLYYS4vvq4H3p2aiZvVOlKiyW2XQePR5mShTF97NAX6hWrRN774gec3r4QtrY20utt+46RApK3u7ZE93cmoHWTmlKgIq5tPsfwycR5uLBnKSwsLBiKKDZTrIgC6ggwFFHHma1Q4HkBhiJ8JiigjQBDEW3c2SoFUkORyJh4rF+7Cj67diA+Pg71GzVF77f7w8Ym+d+eSlynT53A8aOH4ermhmbNW8E9bz4lqs1WdWzcsBbvDe2PwsXao2WHDTh3chaOHxyLAYOHYeqMHzLtq9iaqnXTunj0KPksU3F16dYTcxcszVZjY2eUFWAoYpqnRVSktJ2VlZ9vytZWz63wEOd4REYYrDTR1TXjOR5ihUfK4eXxIvAo5AVYWxushzfkXAGGIurPHUMReeaahCId+4+FOGx955rvYZcSRMTExuGLb37FNp/jOLntV9jbKXPokTjAvWHnD9CsflXExccjIjIGdauXw6DebaU21mz2wbLV/+Hf32ekSX4wbjaKenvg0+FvoWab4fh6zGApGBHXpWt30GPoRBza/DOcnXIh+FGMWTOQz9kOFhZAyOMYJCWZVQULUYACZgjksreC+OaLiIo3ozSL5DwB8QP22flROa//r0+PRSAZn5iEqJiE12dQHAkFcoCAs6MNYuITEB1rYMsKLcbCH9FaqOumzdDQECxZ+AvOnTkFTy9vvNW7L6rXqKXa+MWHAaJj4jF9+jeYPnVShnYHDRmOad/+qFpfXoeGTp44hrYtG72wUmTS1zMw/CXbTE2ZOA5zZ38HZ5fSKOTdDFcvLkZiYhxOnLsKb+8irwNLFo8hZ/6QdnWyQXhkPOIT+EYL4uKSww7p/I6Uczt876V9Lf7c4vEjg89RUq7c0koOcXZH6q+J0nZWXkj+1RvirA9e+hZwz2OLxxGxiOc/91R7EPK72KnW1uvYkCahiFiJ0bJRDXw8tEcG09MXrqPv+1OxYfEUlCnhrYj35et3pdUePdo3Qb2aFfAkPAIzfl6Fds3rYOJnA6TtsbbuOYZ1C5/9RVWcL5Lb0QETPu2PCk0HYt60j9G4bvLy45t3/NFxwDjsXP0dPAq4Iz7BvH9gWlslLwk0t7wiOKyEAjoUsBRp5P+vSktkGqmL2Rf/GLK2YiiSHSbb0tICSOL3XnaYC/ZBXwLie0/8L0+sns5ul/hHs7VVdusV+/M6CCQkJKBC+XK4ceNGhuEcO34CVatWVWWIVpYWSEwCKlYoj8uXL6NS9c9g75AXxw58DhcXF4SEGj5QWJWOZqNGbt26hV07d0LMX7PmzVG6dMattVu3aoXdu3el9bhQoUI4e+685JnZ1btXT6xbtw4NWyxC6XL9sGlNA4QEHcP2HTvQtKlyu1NkI0JFuyI+zGIt/v6Wg67w8HD8Mn8+Dh0+BHc3N3Tp2hXt2iXv+vHaXQkJsAgMBPz8YOHrC/j5AveSf7W4dw8Wfn5AcLD4C8Crh25riyRPL8DbC0ne3oB3YaCwN5K8xNfiVy/A1fW14+OAlBewElukif/xiX/08VJFIPW9ZVUaew0b0SQU+ean33HrXiAWzRqVgTQ1cNiz7kfkz5v5X2xMnYPUUGT/33Pg5uIkFd/w7z5Mm/MHjv07H2u37DW4UmTq50PQqnENqezzK0V4poipM8L7KaCtALfP0tafretXgNtn6XfuOXJtBbh9lrb+bF0bAbGdVPtWjWDvkA/1mvyEqxeXwP/eDgx7byS+mjxNlU6lbp9VrnRR3L8fhO79LsLBIT9+W5APlpaWuBv0RPo1u11BQYFYtugXiHMuChcpKm31lRXnk8THx8Nn13Zcv34VJUqWRkR4OD4cMQTi4HFxia2qf5izAD169U0jEuHuPp9dKX0rhmYtWsPB4eWfTp866UvMm/P9CytFjp6+Ai/xxi+v106ge6fWOHxwf4ZxzV+4Ah27dM9xY7UMDUk7uNza3xeW0ooP/+Q/E4eXBwUCCQY+km9llXxweeqZHZ6e0mqP+HSHlye655V2UuBFAbkC3D5LrqDp5bl9lulm6UtoEoqs27IXE2YtxbD/dYC7q3Naf8RKEXHGx0fvJP8Py9HBDl3ayDsI7XF4BOp1GIFV88ajUrkSUr1rNu3BpO+X4/zupdh/9Jx0psiZHYuks03E1br3KPTr0SrtTJE3m9bCkD7tpNd4poi8B46lKaC1AEMRrWeA7etVgKGIXmee49ZagKGI1jPA9rUQ2LNrO/r27IwCHvXQvocPLp79GUf2foxeb/fHd7Pnq9Kl1FCkR7dO0kHfdnausLJ2QGREACpWroqtuw4a7MeD0BDs2b0DYQ8eoEatOqhWPXlL56y6YmJiUK96OYhgJPWysrLC3sNnUKx48r+llbjESpC2LRviwrnkc0XFJQIiEYg4OZeAs3MJ+N3bjuIlSmH/0bNmNxng74eWjWtnOFOkW4/e+Gn+YrPrZMHsK/DwYRgqlPKChYUlGrVMDkJvXFmJ1m3aY8lva7JVxy0insL63r20w8stfZ99LQUfAf6wiIk22GcRaCSf25F8ZkfqGR7S70XwUdADsOKSTIOQvEERAYYiijCaVAlDEZO4XrhZk1Dko6/mYse+EwZ77uWRD9tWfWvwPkM3DB/zHRITk/Dj5PcRGvYEoybPl7a+Er+PjIpBzTbDMGZEb/Tp2kI68H3k+DlSu6L9hSu3QIQ4v80ZJ4U0w8d8j2KFPTBl9CCpWa4UMaTP1ymQvQQYimSv+WBv9CPAUEQ/c82RZi8BhiLZaz7YG3UE7gcFokalUtKb7K5u5fD40XXpLImvp3+PgUOGq9KJ1FDk1JmzGNK/F+7euS21W6BAQfyy+HfUqlPvlf0QKzU6t22OiIinafcNHvoeJn8zK8v6v3/vbvTq1h6OuT1Rp9F3uHhmLu4HHMAno8fh09HjFGt3x7Z/MeDt7rC1c4WHV2Pcvfl3hrrd8lZCWOg56c/8QyNltfv48SMplAoOCkKlKtVQt768D13K6gwLZ6nA7Vs30aBWRdg75Mfb7/jB985WbN/UEXXqNcD6TdtNajsk+D6WLPoFF8+flVYV9ezTD5WrVDOqDovYmJRzPJ6t6pBWeaQcZG4tzvEIDzdYV5KTE1IPKBdhh3SeR7oVHwlehZFkq8xZvAY7wxsoYIQAQxEjkBS+haGIPFBNQhF5XTa9tF9gCEQQI7bSElftqmUxc/xw5HVLXqWy++BpiMPVU68vP/ofenduLv02IjIa4oyRfUeSP6FSoUwxzJk6Mm17L4Yips8HS1BASwGGIlrqs209CzAU0fPsc+xaCjAU0VKfbZsrILZJ2vz3euzc/h8iIyNQt34jvN1vEOzt7Y2u8tf5czD9668gVj+Iq2nzVli8YjXs7LL+UFLR/6sXTuK3337DPV9feHl5o36DxihV5g2UKv2GUdtmfTryXfy5cjlEQJCvQA1pCzBxXb4ViDx5nu22YDSIETdu3rgBwwf3hWfhVniz8xacOfYNTh6ZCKXDmMW/zsNXYz9D6XIDpU/1iwPQCxfviBJleuHAruGIi30i9VbuShEjhsxbXiMBsSVb+ZKeePo0XFpxFBURiPj4SAwZNgKTphr/Ydu4uDgpXPHzvZemI7Zz233gBEqXLC2t4pC2r/Lzgwg4LP2TDzJP/c8yzPB5QeJQ8uTVHJ5pqzykba1Sgw8vL4jDzXlRICcJMBRRf7YYisgzzxahSFR0LKKiY9LO/JA3pJeXDg59BGtrq0zbSUhIRFBIGPK7u6Rto5W+JrENV1xcfFqQkvoaQ5Gsmi3WS4GsEWAokjWurJUChgQYihgS4usUyBoBNUIR8YnaZUt+xflzZ+Dp6SWdAZDV2/xkjVbmtR7Y74NZ06fgwvmz8PYugl59+mHYiJFqdkF3bS1d9Au+/PyTDOPu2r0X5vySHAwYe0VFReHa1cvSc5k3X35jixm8T7z5uvqPFdi3dzfE9lKNmzRH955vS1+fP3saQ/r3hp/fszdURYXiTVWxZVaFSlUM1i9ueKtzGxw8sBctO/yFwsXaYc3ysgh/fBM79h5FufIVjarD1JtSP2kvyrm6l8ejsCtISkrAj3N/zXC2h6n1Pn9/+pUidvZu0rhSD0P/64/qCAs9LxVRul25/Wb57C+w6a91GP3JCIgD18VVqXJVLFu5DgXENlKGrqQkWIUE48q2f/HTxyNQ3NYJtTwbwT7oOPJFBeON3LnhEhkJpJx789LqrK2Tz/FIO7dDBB8pW1yJIESs+nBzN9Qbvk6BHCfAUET9KWMoIs9c1VBk3PRFCI+IxOzJH0h/KRTXjJ9XYcXabdLX9WtWwIwvh8HVOflA9JxwMRTJCbPEPlLgmQBDET4NFNBGgKGINu5slQJZHYqIT9Q2rV8N4s3U1MvUN3+z8yw9evQQtSqXybCFkejvilUb0Lzlm9m56zm6bx3bNMXJ40dRttK7cHOvgIN7RsDGxgY3/cKk4EHra+L4MVg4f06Gbnz02RcY9fl49OzaDgf27YGdvTssrWylT6vb2DojLvYx3n3/Y3w5ceoL3X8Y9gC7dm5DWGgoqtesLf2nxUoR0bEfZ03DD7OmQQQ/4mrbvpO03ZeS7qLuNs3rSwemp15WVnZwci6OR2GXpba2bNsrbXfFiwKmCuRxsMDRE2fglMdV2voq9bIMC0s7w0Os6khd4WHtl3xwuWVgACzi4l7dnKUlEvLlT1nlkXxuR6KX+DXlTA/xa/4C4pAcU7vN+ymQ4wUYiqg/hQxF5JmrFooE3n+AFj0/xWfDe2JgrzZSr4+fuYIBH01Hw9oVUaxwISkc6dCqHqaPHSpvVCqWZiiiIjabooACAgxFFEBkFRQwQ4ChiBloLEIBBQSyOhQ5cewIOrVtJu3hXq/Jj7hyYTECfHe99M1fBYZkUhXiwOi9u3dInxoWZwmUr1DJpPKpB3a7uldA2647cPLwV7hyYSHeefcDTJwyw6S6eLPxAk3qVcP1a1fQsechuOetjBUL8iIhPgpX79xH7tzaf4CuSrliECukatT7GnFxETh7fBqKFiuOg8cvoHwpLzx6GIaeA2/A2joXVi70kLaISkpKlLYAm/n93AwQYiVL+1aNMwRv/QcNRd/+gyHCoSjxyfSUS63nLjIiAteuXUGRIkXhmkWfaBfBiM+u7bhw4Sw2/b0eVy9fkkbp4OgofW+J8fMyTUCcobN3z05cvnQBRYuVQLMWrU3aci6z1nzv3cXyJb/i6pVLKF6ipDQvYgu47HKtXLEEYmVZ0O2baFq8JIZ36IxmxQsj+uYdWPj6pgtB/GERGWGw24murojOVwC7r12BL4BQxwK4FhWKe0kJ6D1uIjp+8AlgbW2wHt5AAT0KMBRRf9YZisgzVy0U2X/0PMSB5zvXfA+P/G5Sr0dP+QV7Dp3B3g0/wtHBHn9u3I0pP6zAkS3z4JTbUd7IVCrNUEQlaDZDAYUEGIooBMlqKGCiAEMRE8F4OwUUEsjqUGTXjq3o17srCno2RLtuu3Dh9Gwc3T8q0zd/FRqS0dUcPXwQvbu3TztTQvr3x9gJGPnJGKPrSA1F3PJWRJsu23HyyARcOf8rQxGjBV+80ZiDr0cMHYC/N6yBpaWtFCgkJETDo5AnTpy7LqNlw0VFAHH16mV4exeGe958Ly1QtJAL4mJj0XdoEGJjn2DNstJwcXXDxet+0u4Hd27fQpWaY2Ft44gTh75Mq2fEh59K5x2IswrKV6yMQUOG47uZU/HbskUQwVt+jzq4emGRdP+Fa77SQfF7du9A2IMHqFm7LqpWq2F4EDn0jsDAAITcD0KZsuVVOfcluzOdOnkca//8Hf7+ftIWUAMHD3vlMynOsenSvgWOHz2cNjTvwkWk7dacnPKYNdzw8CeoU7UsxIq51EucyXPo5CUUNGY7KrNafbGQWL1hGegvnd9h5e8vHVguVnk8vXgBQccOwxtA8jtMr76SHHNlOMNDWt2RdoaHNxK8vSHO+hDXvDnfY+Y3kyBWQ4qrRas2WLT8T2nFGi8KUCBzAYYi6j8ZDEXkmasWivz13358OWMxLuxZmrZ1Vuveo1C6uJd0cLm4rt70RdfB47F+0WS8UfLZMkd5Q8za0gxFstaXtVNAaQGGIkqLsj4KGCfAUMQ4J95FAaUFsjoUCfD3Q83KpaVuizMIHj+8isTEeEz7djb6DXxH6eGYVN/Avj2wfes/yFewFvI4l8TNq39In0K/difYqIOuRWMPH4ahRqVSiI6KytA2t88yaSrSbhZhQOumdTO8ydqlW0/MXbA0Q4ViW6U3m9VDQkJC2p9bWlrh0IkLEG/0ZsX180/f4dtpk416E7RD68YQb1o75vJAQkIsYqIfoGHjZvhz/RbMnDYZs7+b/kIX69RriKOHD0C8eZ16ia19xGHi+3x2oXnb1ShasgvW/VZR+j4S549UrFw1K4aqap1izsXKGRF28A1l4+gvnDuD1s3qZbi5WPES2Hv4zEu3MRPnz4hzaGxsnVCqbD/cufEXIiMCMG3WT+g3YIhxDT93179bNuKdAb2ln58160/F2ZPfIvT+CUz8eibeGf6+WXW+UCgxEVZBgcmHlIvDy8W2VinbWVn7JR9gbhkaAqT7vsms4XhLG/hbWOFOQjS869VHwTr1EVcoZVurlK2tEl1cTOqzsSGpSZXyZgq8xgIMRdSfXIYi8sxVC0W2+RzDJxPn4dDmn+HslAuPn0SgXscRGDGwC97r30kaxa17gejQ7wus/XUiypUuKm9kKpVmKKISNJuhgEICDEUUgmQ1FDBRgKGIiWC8nQIKCWR1KCK6OX/uD5gxdaJRbyYrNKxMqxFb/qxYthBihYiziysOH9gnHXbdocd+5PeojeXzXBAfH4nTF28hf4GCRneFB60bTWXwxqmTvpQ+ge3sUhqFvJvh6sXFSEyMw9HTVzLs/Z+6AsneoQASE6IRG/tYqlts5bRh83aULlP2pW0t+Hk2/vxjBXx976JCxcr47PPxaNCwySv7Jt64r101eUug9OHetz/8jD7/G/hCWXHeybDBfREY4C+9JsKNxcv/lA5RF0HOutUrcfjAHkRFRaNYyTLSp/yXLfkVP30/Ax6ejVG28rs4svdjREYEouWb7bBj6z+ZrhTJqq2rDE6UAjeIlR9iFdmlC+ek2pydXTDzh5/RvmMXBWrXvgqx4uf6tasQYYWLi6uiHfp64jjp56pn4RYoU34wDvmMRHRUMDZt9UH1GrUybevPlculc2iKl+qBpm1W4tTRKTh9dIqsrQz/+G0pRokDx1PqPH5wLM6dnIWPR43FZ2OerYB61eAtwx5IKzuk0EP6T3zt/+zroEAg5fyal9YjzvEoUDDDuR2J3t74+/hRzP1rHSyLd0TpFguwbXNXBAcexvIVv6NNx+6Ii09UdF5YGQUo8GoBhiLqPyEMReSZqxaK3Lzjj44DxmH0iN7o170VFv3xD35cuA6rF0xAhTLFpFGkBid71v2I/HlNS/HlMZhfmqGI+XYsSQEtBBiKaKHONikAMBThU0ABbQTUCEXEyLLDJ2r79emGXdv/ewFazkoRbWbt9W1VBAlbNm5AwxaLULpcP2xa0wAhQcew+q9/MwQX69euwofvDoaNjRPi4sKRK7cX4uKeIjbmEVq3aY8lv63JFGnntn/R/+3uGV7LlSs3jp29+so3rrf+uxmD+/WEh1dTtO26TXrjV7wBLM72+Gbmj5m2Jba2unH9qvTJfbHaw8LCIsN9bk62iIyOR3Rc8huzY0d/JJ3NIM4hqVxjNP77600E+O7G5G9mSaFiRMTTtPKvajc7PB1itctf61djz87tiI6OQr0GjaUt82xtbdO6N27Mx1i2eAGsbXLBwbEgwh/flLYYO3flrqKHtmvhIUKLBfNmS9ubiav7W30we17ytmdKXJ999B5W/b4MtRvOQoWqH+Kf9c0R5L8fv/35l3ROSGZXVqwUOX/2NN5sXl9qTmzv9ijsknQ2zuIVq/Fm2w6wiHgK63v3nq3w8H32tRR8BPjDIibaIEmie97kbaxSDyuXvvZMOczcGwliqy4rqxfqEau1xKqt9Je1tTWu3biF3C75GYoYlOcNFFBWgKGIsp7G1MZQxBill9+jWigiuiBWiojgQ5wfEhkVLR2w/suMT6Xeib9Y9RnxNe6HhGHn6u9haZnxL2vV3RgAACAASURBVJXyhpl1pRmKZJ0ta6ZAVggwFMkKVdZJAcMCDEUMG/EOCmSFgFqhSFb03ZQ6xd73bxRLXv3RqOUSBPr54PrlFdI2WalvXIrXTD1TxJQ+ZOW9586cwpHDB+Hi4oImzVqatNIlK/tlat3GrhQRh483rV89pXoL9Hs3DE+f3MWGlVXg6eWNY2euZtr0hHGjsGjBz3ij4lBUrzMJ/25oiYcPLmDlmo2S28uuI4cOoFvHVtJ2WHUa/4DL536RnqEPPxmDMWMnmDpM6f7nQ5HUT91bWlrD2bUMHj64KN135NRl5M6dG7t2bkNYaCiq16wt/afEJc6CEOa7d2xFdEwM6jdohAlTZkiGcq5f58/BpPEZz+Z5q/f/8MOcBWnVdmrbDCeOHUHrTlvgWbgl/ljkheioEBw+eQmFi+SMXSEyMzIUFMhxTS0rwjMRolla2sDZpRQehl2SfpYdP3f9pWd5ZHamiFjBtHv/CeTKndvkblnExkgrPFZ9MxlnNq6HV1KSdHZHrYIeKO/iIp3vYREebrDeJCcnxKcLOxJTz/AQfyaCD6/CSEoXphms8LkbUg9av337JsqVqyCdGdXrrS54HBHHUMRUTN5PAZkCDEVkAppRnKGIGWjpiqgaisTGxmHp6q04d/km6tesiDbNasHV2UnqztlLNzFx1lJ0aFUPg3q1lTcqFUszFFERm01RQAEBhiIKILIKCpghwFDEDDQWoYACAnoJRfz9fFGrShnY2bvh7XcCEeC7C1v/botKVaphwKChCA8PR936DVG+QiUFVNWtYsY3k6Rtl1IvO3t7rNu4DdWq11S3Iwq0Js6gadm4doYzRbr16I2f5i9+ofb0Z3PUafQdnob74sLpH1GuQiXs8DmSaW8mfjkaC3+Za3IoIg5TblCronQAeuolVn7sPnDilVt1vYrk+VBEtDGkfy/sTFnNJM7XGPXFVxCHr5t6hT0IxdeTvoTPru2Ii49Hg0ZNMH7SNBQq5Jmhqi9GjcSKpQsz/JkIh0RIJOdq17Ihzpw+ifJVPkQelxI47DMS9vb2uOkXllZt6sqtUmX/J22Vtm/HYGmVwaWbAdJWWjn1Sg23ipXqjmZt/sCxA1/g/KnvTNpSytDYY2JipJVLe3Ztl24Vh5t/Pm4Shr734SuLigB4756duHzpAooWKyGtKhHzkv4KDQlGgO89lM2TB7kehMLKz08KOMTB5c+2uPKD2PbK0CUOJZdWd6Su6ijkBRF6xKcdXu6FpFymBzKG2jX0el5nO4Yi6ZDE8yBWN4mQ0tXNDW3bd5Y+IPD8s2HIla9TwJAAQxFDQsq/zlBEnqmqoYi8rmbP0gxFsue8sFcUeJkAQxE+GxTQRoChiDbubJUCeglFxJuBld4ogodhD+DkXAJRkUGIj4t45fZHOeHpEG+OlimaXzqvpVS5/ngYeh6hwafQsUt3zF+4IicM4YU+Pn78CLt3bkNwUJAUWomw6mXXxx8Mw5pVv2V4+cuJU6VzEjK7Mts+K3duJxw5fRmurm6v9AoJvo8li37BxfNnpTNCevbph8pVqplt/HwoklrRg9AQ+PreQ5kyZWFrZ4fvZk7Fxg1rEBIcjKrVa+LzLyeharUar2z3kw+HY/UfGee/Zeu2WLZyXYZyDWpXwu2bN9Cs7Z/SYdl/r6ohbXF1w/eBrC2s6tesgDu3b6Fz7+Nwdi2N3xfkR0JCjBSKpL7RKrbXen9YxvNYmrd8EytWbTDbVOmCYgwiNBLboBUvWQr9+g+Rfn3Vpcrh4ykdEAGGv7+fFMw5ODgYN/ykJFiFBD8LOAL8YOnrCwvfu7i73wfOjx/DA4ClodqsraVtqxI8U7a1koKP1K+9pO2uEt3cDdWiyesMRZ6xixVEDcXPgVs3M8zFuAlf470PPtFkftjo6yvAUET9uWUoIs+coYg8PzAUkQnI4hRQWYChiMrgbI4CKQIMRfgoUODVAuIT9GL//eRP+BaX9ud/o2x52Wx6CUUE1D+b/8aoj96DeNNdXGJFgXgD1sOjkGxHrSq4e+c26tUoDwfHAugzxBeBfnulLaGqVK2Of3bs16pbqrUbGxsLsT3OoQN7YWdnj2YtW6NLt54vnN+RvkPmHLSeFQN6WSiSvq3fly/GmE8/yNB8/gIFpe3BxEqSl101K5eGtOqmw1/Ss7FpdT3YOzjgpm/GT/enhiLN266WwkIRiogzF275P3whFBGfIhdnm5w9cwoFCnqgW49e+OizLzLtQurZMLZ2LtK5LxFPfVGiZGnsO3Imw/3irJZt/23Bo4dhqF23PvoNeAeOuXJlBbfJdYqtxepULQux9V7q5eDoiKOnLsM9b76X1ifur1W5NJ48eVZObG21a79YVfSGyf0QBdIHZaIPr7osHz1KO8NDrOywlA4xT3d4eaA/LGJjX1lHEoBgAL4ASrZoDeviJZHoJVZ8eCGhUMqv4hwPS4PRiVnjzepCDEWeCQcE+KNmpVKwsXVCt7fP4vaN9Ti6fxQaNWmOVes2Z/VUsH6dCTAUUX/CGYrIM2coIs+PoYhMPxangNoCDEXUFmd7FEgWYCjCJ4ECLxcQh5TXrlZWemMs9RJviB44dl76xLqcS0+hiHASKyquXr4IZxdXeBcuIocuW5RNv1KkdLkBCAs9l+NXimQLWBU6YYMYnD13AYUKF3/pIe+p4ULV2uNRtuIw/L2qFiIjArBj71GUK18xrZdiBdTdu3dQuvQbUqiQFoq03wCHXAWTQxF7e2kFSPoD343dPisqKkrafk5sy5X+mrtgqRRCPX/dvHFNOtBerEIRV958+fHzgqVo0KipCrLKNLF+7Sp8+O5guLiVRfU6E3H62FTp+2vGd3PQt//gVzbSpX0LHDtyKMM9/Qa+g2nfzs60nO+9uxDnhFy9cgnFS5SU6i9V+g3p51X6LdXy/H8QNnHIu+jXrGVy8CEFHn7pQhB/WERGGARIdHVFXMFCOHDnNq5FRUrhh9gYTvxqX34QvBrOxJaNHRAceBh/rN2Exk1bGKwzJ93AUOTZbKWFIja50a3vOdy+sQFH93/GUCQnPdA5qK8MRdSfLIYi8swZisjzYygi04/FKaC2AEMRtcXZHgWSBRiK8EmgwMsFdu3Yin69uyK3UxHUbjgT50/9gOCgI/hi/GS8P/IzWXR6C0VkYWXTwpmdKbJ+03aDWyypPZxDB/fhr3WrEXw/SDrvpP/gYS8NA17VNxEALF30S9qKha7de6FOvQZZNpyDB/ZCHJ7t6emNpi1aQWy3Jfca1K8ntv377FPYnbr0wLyFy1+oNi0UqfUlylYajr9X1URkRGBaKJKQkIDhg/tCbNkkLrHK45NRY6WA5Pnts1q3aY8lv63J0IaxB62fPHEMHd9sAqc8xdDhrQM4f+p76ZwMsYXY9z/9kimH2JZHbD8VHR0lbe9kZWUll03V8ksWzsf4Lz6FCBsbtvgVh3xG4vK5+QZ/7oo5KeHlJgUaXfqcxONH17H7314oVqIkDhw998IYxMoSsSIl4tFDeAHSYeXFbWwwdcRHCD5+BH4H98MbFihsYQnXpASDBkmOuTKc4SGt7kg7w8MbCd7eEGd9/LZ8MT7/9AM45iqEwsU74uqFhUhKqV8c4G5paYv4+Ahs2b4v2/0sMYhg4AaGIs+AxPdpozpVcOvm9Qxq3D5L7lPG8pkJMBRR/7lgKCLPnKGIPD+GIjL9WJwCagswFFFbnO1RIFmAoQifBAq8XCD1E8vijauW7dfh1JHJOH0seb9v8caFnMuYUES8Cb1713Y8CAlBtRq1UKNWHTlNsmwWCJw7cwpHDh+Ei4sLmjZvhXz5C2RBK+ZXefjgfnTv1DpDBRUqVcG23Rk/TW+oBfEGXrMGNXDt6uUMt27a6oPqNWoZKm7y68MGvY0tm/5KK+fq5i4FEnK2XJvz4yxM//qrF/qyfOU6tGjdNsOfZ7Z9lmj78KnL0vZZ4jwVca6KhYUVXNzewMMHF6Xy/+7Yj+VLF2Y4aP2rydON7rdwPrBvDy5I56cUgZu7O97q3AZOzsXRocd+XDj9A86dnPXKUMRk7GxWQKz0ECs+xOXqXiHFNinTlRNiG7drVy5BPB8FPQqhWCEXiHCkc+8TePLoOnz+643aRYpi0y9L01Z1WPolr/B4evE8Em/fQn4AFgYM4iws4ZuUCIc3ysK5YmXpDA9xcHnyYebJW1sluhh3SP03k8fj55++Q5Va4+DoWACHfD6ECEOcXUrhYdglqSdiNd3B4xdyXKBl6FFiKJJRiAetG3pi+LpSAgxFlJI0vh6GIsZbZXanJqHIg4dPYGNjjTy5M+6XGR0TC/FaoQLur9wnVt6QlS3NM0WU9WRtFMhqAYYiWS3M+imQuQBDET4ZFHi5gHgDuGn96mlvzj0Ku4SkpETM+3U5OnXtIYvOUCgiDhhu36pxhn31+/YbhBnfz5XVrtaFxZYhe3fvQGRkJOo1aISy5SqkdUl8wnvVyuU4uG8PrK1t0KR5S3Tr0RviXACtL7GNkXgePD29pC2Jcso1+pP3pbM/RLBXokwvHNg1HHGxT7D38GmULFXG6GFcuXwRzRvWhDirokGzebh+ZSV8b/+DV21NZHTlz91468Z1NKxTGVZWdihdfhD87+7Ak8c3MPLTzzH6ixdDjczaCQwMkJ6ziIiItOesVZM6uHjhHEqU6QOvIq2wb8cg6ft5xIefYuxXUzJUI95Yf/6gdbFCTJwZI66vxn6Gxb/OQ/W6k1Gl5ufY+nc7+N/bgQVLVqJ9xy7mDh29u3fAPp9daeXFsyb6IgLS9NfLts8yu2GVCvrs3oHvv/0Gly6eR5EixfC/AUMwYPCwF1ofO/oj6aB1ERKJq3ffAZj147wM9/29fg1mfvI+3COeSqs86nh6SSs+xLZW4vdig0NxapG1gbElwgKPc3vANykJVyMCka9GLYQ5OWHlnl2IylcNuSoNxX9HJiEiIhBrN25FvfqNpBrNPW8q/UoRWztnPAq7jNoNv0WFqiOxZV0z3A84gHm/LkOnrm+pNCvqNcNQRD1rtkSB9AIMRdR/HhiKyDPXJBT5YNxslCtTFO/265Sh9zdu+6PTwHHYufo7eBRwlzcylUozFFEJms1QQCEBhiIKQbIaCpgowFDERDDerjuBmdMmY+6P30pvTIpLhCE/L1gm+4NChkIR8aag2Ove1b088hesg2uXlkpv4J67cveVhw1n5wnav3c3/teri7S9Ter15cSpePf9j6Xfpo45/RhGj52AXn36YcqEsdi3d7cUkIh99sdPnGp0OBESfB/LlvyK8+fOSKFGj159pW2kjL1+nT9HWmEgzhERl1gRsnjFatjZ2RlbhWb3DR3YRzrovmGLRShdrh/++qM6wkLPY9N/e1C9Zm2j+3X08EF07dAS7vmqonPvo7h6cYkUsHTs0h3zF64wuh5jbtyzazv69uyMAoUaoH333bhyYREO7n4PYruuOb8seWUV4tkS51Fs+ntdhvtE6LH2z5W4fu2KdAh64WLt8MeiwoiKDJIOLR/1+XhjupZ2jwhMvp85FQU9G6Jc5RE4su9TRD71x+q//kWDhk1Mqiv1ZrHqqE2LBrC2dpS2jrp3+x88Db+LAYOGSYGcMQetm9WwGYWCggKl0Ck8PBx16zdE+QqV0mo5efwoxNZyZ06dQP6CBaWzT8TWYuJclFpV30B0VFSGFv9cvwUNGzd7oRcR9wMRdOgAillbw+nhQ1j63suw2iPhzi3YG9H3BDd3xP//9/3FJ49x5kEo7sQnwKHMG6jYvjPemzoBAQDyuFdAaugtvrfF+SJiZVRqKCOaye3kBFdXdymgqlq9Js6dPY3Hjx6m9cDY86Yinj5Fs4Y14OcrThNJvjwLt0CZ8oOlrcKio4KRVSuwjODK0lsYimQpLyunwEsFGIqo/3AwFJFnnq1CkcD7D9Ci56fYsHgKypQQn7vI/hdDkew/R+whBdILMBTh80ABbQQYimjjzlZzloB4E+vatSsoWqw4XF3dFOm8oVBEhAe7d25DszarUKxUN2z4vYq0tYq5+8wnJiZCrD4R5wsUL1FKdqhjDkKfHh2xd89O5Peoi9xO3rh1bQ3y5HHG5VuBUnVlihbA06fhqNVwJqIjg6Vtgsq8UQ6lyryBLRs3ZGjSmDfIRQHxJnnT+tVw+9bNtPLiwOutuw5CbCNl6LofFIgalUpB+Lm6lZPOKUhMjMPX07/HwCHDDRXX/PWffpiJGVMnSqsuxBZM4lPptra2OHvlrmRv7PXwYRiqlC2K+Ph46QDsJ49vIjEhVtpGTmwnp+T1spUixoQXIkgU4drzl6NjLvTo9bYUNIrQwSGXB8IfJz8TR05fgbe3WFdg/CWep8Z1q6SFpaJkwYIeOHTyktlhmdguTGwb5lXkTbTutEk6P+TYgc+zZDWO8SN98U4RkPXu3j4tJBR3iPBy5CdjEB0djTrVykIEkemvH+YsQB5nFwzu1xN581dDuw5/I2DvSCTc+AsDW7VBpxq1YOnni/DzZxF55TLyRkchT8oqkVf1NdzCAuGuZeFvZYfTIadhUaQoeowal7KtlSceOOXBshVLsHb1ygw/A0SdYtVP3fqNsGDebOn7W1zd3+qD2fMWSV+LEEqcDyPCCxGIim3Nnr9y5ymG2g2mSz+rQu4fx4TJ0zH0vQ8N8gon8fP9yKH90oqj9Fex4iWw9/CZ127rLDFGhiIGHw3eQIEsEWAokiWsr6yUoYg8c1VDkdUbdyMyKgZrt/igUMG8qF8j3TL2+Hjs2n8KAfdD4bN+NqystF++bgwtQxFjlHgPBbKPAEOR7DMX7Im+BBiK6Gu+OdrsI2AoFMmwUsSjLq5eSH6jzpyVIsePHsa77/RDYIC/VEeRosXw65KVRoUCrxITq2fWrV6JvT67pDeHGzVuJp11IA6dzuyqW70c7t29I52NkN+jNpbOzSUFDBeu+8HJKQ+KFMwjFfvfsFBERd3HuhXlpTeaxdZVjx8/ksrFxj7Bto3tpLM7zly6bXBCTxw7gk5tm8HeIT/qNfkRVy4sRoDvLml1ililYuhKXbUggpwOPfbi4pm5OLLvE/R6uz++mz3fUPEMr4vDtZcvXoBTJ48jf4GC6NztLdRv0NikOky9WRwmPbBvD4izRcTl4OiIiVNmoG//waZWJQUKk7/6XHrjW1yi78v/WC/VqfSV2Zkiu/cnu73qGtK/F/77ZxOq150krbYQK2Oio0KlIrsPnMB77/SH2ApMXOKT/V98ORnDRozMUKV4gzz18GMRIL5s+7aL589K272JZ7pc+YoYMGS49Lymv4w9UF363n7JSpH0q6mUdjanPvE8bd/6D/IVrIU8ziVx8+of0jNw7U6wtBqrQ4sGKJnbE72bzkXUxWVIvLURTUqWRnlnZ4SePI6iltZwT4w32LR4yvzECo1yFZCnYqXkczu8C0uBR6iDI6p3bIUIC0s0arkUfne34ubVVdKqlRV/bIBjrlxS/a2b1cOFc2cytNWk1Qrs2zlY+tlz5XaQFBBfv3YVIoxwcXHNtF9vv9UJYuuvWg1moHipHli/soq0DZ130bZo1fFvHD84DudOfosPPxmDMWMnGBxb+hvEz4O1f/4Of38/VKpcFQMHD8uxqwENDZyhiCEhvk6BrBFgKJI1rq+qlaGIPHNVQ5HWvUfBLzAk0x47Otijab0q6NquEepUKydvVCqWZiiiIjabooACAgxFFEBkFRQwQ4ChiBloLEIBBQQMhSJiVUfbFg0REfE0rTWx//70WT+Z3Hq7lg1x5vRJOObyQEJCLGKiH6BRk+ZYtW6zyXWlLyC2Fpv93fQMdYhPSYtPS6e/xKesxSfERcCQfFnALV8lhIWcTVspcuf2LfTo/Ka0T7+9YwEkiX7GPETzVm1w4uhhKRRp390H8fGR2Pp3W6NDkV07tqJf767SNkftuu3ChdOzcXT/KLzdbxBmPnc+i/hEuHjT/+CBfbC3s0Ozlm+iY+fu6NWtHewd8qFek5+kbaPE2RHD3huJryZPM8kvszdo123cJr2Rm9WXOGMj5H4QypQtb/ZKBtFHEYiIg63zF/R4IQBQegwHD+zF+bOn4enpjaYtWiF3bieDTTwLRSajdLn+WP97FcTGPISjeNP+boj0BnjEwyD4BdxHsVJlpVUz6a/Tp05g+OC+aVsbeXkXxi+Lf0fVajUMtp3ZDV+MGimdjZH+atKsJVau2Zhpfalvvqe+KMK/PQdOSAeJZ4srKQm96ldH9LUr6FJvKopZOyDowGh4JsajbeWq0nketqEhMPQxShGJiG2rxAZShRs1gVvlqrgSEYGvl/yKx84l8EbHTfA5LULMhXjn3Q+kIO/5q3un1mlhX/rXRCgrVq2Ird0a160KG1snNGi+ADev/ol7tzahWKnuuHtrk7TSSYQiIpA1dKWFIg1nonjJ7li/sjLiYsOlYuIw+NSttxYuW4W27TNuRW6obj29zlBET7PNsWYnAYYi6s8GQxF55qqGIqldnfnzKhQr4oEe7c3bB1XekJUtzVBEWU/WRoGsFmAoktXCrJ8CmQswFOGTQQFtBAyFIqJXYu/63bu240FIiHT+gylnQKQfVeECTtJKjr7DghEb/RBrlpeRPoksVp3IuerXrAARZlSpORbWNo44cehLFChQEKcu3spQbeqWRpaWNnB2KSVtA5Z6jZ/0DQoU9JDOgUjdwib1NbGiRezv/+N3083ePkuELDUrl05587I8Hj+8isTEeEz7dra0LVH66/lDrsVrIogS2+ak335L/Pm23YdMWmkjQq7M3qAVB0iLcGb92lXYu3sn4uL+j72rAIty+buHlJQ0aAUpQVTsVuzu7u66xrVbr/6N673X7u7uFlHsQhEERKVUVLqkv+83uLhL7cIuC+r8nofnenffmXfmzLuLzplzThLqNWyC3n0HMiVDcaiQ4CD2LNrYVcxGIkgyPoF1GykurCrYFKp1W272WbPmLcLYCVPZcPW1VRH/LQXfkjMsk4SLclPIHkpdowx7OSE+FLXq1MOJs1czL6OcCcoUOXX8MD6HhrJ8iRlzFuZInNSt4YiAd28ZqUaEXkpyHFtX/+DwHO2RqG963jxfejC7qXt33EDkkECJRZ8XyojZv2cHAgLeMYUK5XUQ0SKLUoyMzMztIIKDLK2UQugnhBEeSh9DoJCUlOetKBr9M4Cg76QH/de5S3c4tu2ARx8/Yu3Rg3Dz84FZlqB1gSpL37ASWne+gif35+P1yy25kiJktbdr+2acPX2CqUEUFJSgq2+HiLAMJRBl3ZBCjmzvuvR7Dl+vPbh9bVjm2Mk+6/zVDAWVuNq0fi3LNRIuUpVER0dlfm/JKm9K3Fh+5vcLmxR56/8GlF2loKjIlItkecmLI8ARADgpIv+ngJMi0mFeJKSIdEMuXq05KVK81oOPhiMgDgFOiohDiL/PESgcBDgpUji48l45AuIQkIQUEdeHpO872Vkg7OsX1Ki3DInfIvHiyf9Q3qoC7jx4IWkXOV7nYG2KyIhw9BzsD2VldezfagxV1RJ49+FH+DA1nDppDA7u24VaDVbCsepEnDvmgtAPdzKJiaYNajBLIxPz5lBUUkXQu/PM4sv9kSfbQKdcD2mC1jeu+5vlaggC3pu1aI1tuw+JkA606Wxlqs+u6dznCUI/3sfdm2Ohb2CIrTsP4M5tVxasXJCgdsKAwqc7tG6SbYOWTpU7VXHG8iWiljsFVQVJtaBZGlMuBKlsaN5UpNRYsfo/ZvuVV63/dzULNQ8JCYKlZQVm2xYWlmFhpaOjy1Q2g4aNZH+WddH6/W/ZQpw+eQxfv3yGmbk5pv45F+07dc28VV6kiI1FaabO6j2UNAzpOLjdgs3b5/2PjIxD+3djysTRIkMnW68Hz15nI40cbUwRER6ebZqBoTFiMyMmjhmGY0cOiLStVbsuHty/K/Kamro6Hj33Yc9qXqXwLQFKQUFQIqLjQzD8r19F1Mvn0I2JASWq6MfHQTE+XuySJGlr43VsLALT0xnxQT9OHbug+bBRLND8cUgIli1fjOfPnzDCs0vXnpg8bZZYMoxyayi/J2sQ+56DJ9C0eatcx7Vw3gxs2fAvqtaaC+dac3HlbGf2HbJq7QaWL5OUlMRycGKi3iI1NRElSqihUZOmmLtgGSwrWDPCiayxfF57sbwll2Yts60jqd3oO+Ti+dMIDwtD9Zq1WZ6OhUV5medNiV2An/iCwiRFKDdm8rgRIGKRikjYdZt2gsgqXhyB3x0BTorI/wngpIh0mBcZKRL6JQLuj14iMITOd4jWqAEdoFZCVGIs3TQLrzUnRQoPW94zR6AwEOCkSGGgyvvkCIhHgJMi4jHiV3AECgMBeZIi82dPw7bN60WmMWX6bPwxfbZUU+vZpS071V5CzQBKSqqIj/vI1CxnLooGEi9ZMBtETJiYN4Otw1DcdZ2IbwmfceaSK6pVrwlri1KIj4tDn2HBUFRUxr4tZRlh8f5jlFTjE26cEB8PHx9vFqhNKpmsRRuj5Y112QZp3cbrcO/WRKSnp2ZeJmmAcm4DphPlle0ssm3QUkD12VPH4e3liUrOU6ChWZbZe2lqasE3QPTfY2RdRQqBe+5u7H3aKKbNfiKOshaRYDu3b5aKyFk0byYLoaZgcg1NY0RHvWEEwUvfoFwVIzSXUcP6ZxuPolIJpKUmZr5Op+wv37wHsqeSd+VFipCqiNRFzrXmIyrSj+Vl6Onr45GHH9TV1dlQx44YhFMnjjCFVMXKY3DqUC3Ex4bgys17cKhUWWQ6zo5WjNSr02gtzC3b4dheJ6SmxMPD+z0MS5XOc+rODpYIDf2Elh3PQVVVB2ePNmCfCyJ+rCsORM16y5mVXNiXZ9i9+xBaVnKCMqk5SNURHARFpvCg/w9mJIhihChZmdPN0zU0kWpigjANTXjHxiII6VC3tUfNHr2hZlsRqWZmSFdTx6dPH3HrxlXExMQw+zcHRyf2OwBNRQAAIABJREFUbK/8axHOnz2JsK9f2XfBrLmL8qWoIvJx1fLFTCljZmaBXn0GZMt8yTpusvAjK78yRnXhUHUCHrhNQ1xsEPYdPgVSOS2Y+yfo809FY92572imZRZ93ju0aszsBQVF2SJXXR9InJXj5/sa+3ZvB6kUbO0qYuCQETAzt5DJY01h7KQMos8z4Tlo6MjMsX8O/YSlC+ewTCeqRo2bMqJGXO6OTAZWwE4kIUVorqSQJDKxRq06ElvXkRKPFHlm5duy75qQwGtMSXX11oMCjpY34wj8OghwUkT+a8lJEekwLxJS5LLrQ/yxYAMbub6uNlRUREMST+9cCm0t2QfpSQdVzq05KVIYqPI+OQKFhwAnRQoPW94zRyAvBDgpwp+PwkRAnvkDBZ1HUYXcypMUoU1UCoR2d7sJJWVlNGnaAl279841QFpSLCnvYdig3pn5C0bGJti8Yz8jOoSLrG0oT0O4aOPx1r3n7LR8TkoRaxs7uN59KulQZHJdVvss2mTV1DLBW7+j0NXTxys/in0ueNHGqfAGbSWnKth98ATaNqsPyvzo2u8FNLRMsHdTRn5EwKdokdD6MSMG4vSJoyIDyMkGjDZ6G9WpIrXlV4/ObeB+2xXN2h2HhWV7HNxeDvFxH3Dr3jNUsLbNEYjpf4xjxI1jlYmoXONPnD3SkJEpVGSfRqTYh6AbiIr0xZjxf7BN3KyVkpLCTu0TAUOKIUHRaX0f71coVaYsjIyMC7wQwqQIBaHv3r4Z9D1Am8mkEsmKMd2IAtSvuT1k2R6ZpEjN2ajoNBqnD9VGXGxwjqRIp7ZN8ejBPdRp/A/My7fFsb2VkJqSkC9SpFWHcyidlgSfc11QXlkFRinJcDKoCIeS5aEU7Aqj5DiUVVCAwvcT8rkBk66igjQjYxZYftPfD8++fEaScX0klKqCSx7rEKKoiIfB4UzVRHkdwuXoVIVZxuVV27dswLxZGRZlgjI2McX9p95iVTEFXkyAPef0vNNzLyhar7tPvFh+Tl7PDZEO/Xt1hmoJXVSw64t3fseREP8Jf/+3GT16Zyf3so6TyKG61SqyewiKCL/7z7wlyirJa97XrlzEwD4/FE50rXP1mjh7yZU1I2uwMyePiXRBOSpkG1ZcSxwp8uqlBzq2bZpJYtE8JM1vKmekwwjDAaMjWN7Lwe3m2VRexRUXPi6OQGEjwEmRwkY4e/+cFJEO8yIhRXqOXAhNDTWsWzYJGuolpJtBEbfmpEgRLwC/PUcgnwhwUiSfgPHLOQIyQoCTIjICkneTDQHy9qfQaiJGqOrVb4TdB45LfPpWHpCK26zPawyUpUEBynQylSxYBgwcxv4racmTFBGMidaCNgHfv/OHfUVHNGrSTGpixPOFB86dPQF1dQ1079UPxsYmOUKQF/l08vhhkUwRUj78s2EbI27kWYKg9Yvnz7CcALLR0jNwwK712khLS5Y4lDmvMcfHx2NQn64sJ4KKQqHNLcrjrb8fSpTQg5KKBlMdVHR0wlXX+5ld0WYf2XvRxm89l40spN775aZseRdkefXXknk4fGAvlJTUmKXQx2DXAoXDjxjch51St7LtDVOLVrh1ZRCzlHJp1gL6BqXQvGUbtOvQWWS6maRI1UmoXH06zh5thOhIP3aNYZnq6Njzbma2Q7uOXbB5+z6R9tcuX8DEcSOYLRsVnbzftf8YUyTNmz0tc7OUcj7o+0SSkOys6yFMihBZR98DwtW5a0/QM6msogkb+4EIeHcOcTGBmLfwL6ZayMk+i7J07udgnyVQMQj3b2fvgOu3H2W+pBgelmFpJVB1fM/wCHC7CY2vX0D0j+hRxRyeMEVFpJYpi1QTU0Z60H/TzMwy/8xeJ2XKd1VR80a14PXqJdp1d0OpMjWwd7Mhyzt56ROIRfNn4eihfbCw6gRLmx64fW04e+/Ow5cgMjO3GtS3G65evoDqdZeggl0/nDzgjMRv4bh93yNf340F+czTZjoRv4EB75k6YNCwUYzIEleCDBpr+/5o2Hw7HrnPxosnKzFp6kxMmzFXXHMIiCDD0tXY8/7o7hz2vBM5nPWzIbazLBeMHzUEJ44dYsHwFpYd4XZ1CPseevjcByamZnC0MWNZP227XmeWURdONGMWarSGwiX4XnO/4wa1EiXg0rwVIyOJvJF3iSNFJo8fiSMH90K/VGWUKl0NPq92sCGSfR2RpHkVV4rIezX5/X4mBDgpIv/V4qSIdJgXCSnSYeAstHKphTEDO0o3+mLQmpMixWAR+BA4AvlAgJMi+QCLX8oRkCECnBSRIZi8q0wEyBu+in050Ilv8nKPjvJHWmoS24ih0+HFpQS2UqYWLWFTcRDcb45D4rcwXLrujkqVq2YOkzbaYmKiYWNrz+xr6HR57ar27DVBqWto4MFT7xytmXKar7xJEbKPcWlQnW0aCopOHZPVVU72S5KsUdYNXzqVffDYObZRn98iksnt1g2kp6WhQSMXWFpVyG8XMru+V9d2LKxX1koRGiAFqlOofNZQaDpRT7ZNVLTBvmHrHtSuWz9zTvTMOVQwYRv1/UaEIuzzM2anRKTBjTuP2XVEnNSvWSlTuZPRWAFO1afjxeMV6NV3IFb/s1FinIgQIWIkr1r593r06T8485Lc7LPoAkmUItUrVWCqGa2S5dhnkU58d+7WE+fPnMxmPTb1zzksqyK/JSBFPL28QRupKqraqN90M/x9DiHw7RnUrd8Qd++4wbx8OzRvfwIvnqzCI/dZzLpo6Yq/2Qa0pEHriV+/Yte8P+F/8zr0Y6JR09gUzezsoRcbkxleTlkf4ipMURHRJXWgX9UZfgnfcOvtG3hGRkDJqgLaj/sDNbr1BJSUxHWT+f6kcSMY8UFzJ/u72Oj3IKXX4xd+GNyvO65cOo9GLXahgl0fpm6JivBhoeQUTp5b/SBFFqOCXX+c2F8FSYmRciFFJJ54lgulVYrQc7Dmf0vhWHUyajVYAdfLA9hz9L8169B3wJCCDou1ozyf61cvwaX1AUaMHNpZgZFzlJNRu14DtGhcG+FhXxkpQmTJxZOtciRFsirgWN+Dh7NMJ3mXOFKEFEr33G+jRYfTMCvXGod3WiM2JgA33Z+w3795Fc8Ukfdq8vv9TAhwUkT+q8VJEekwLxJSZNWmw3ju+Qb71knnLyzd1GXTmpMissGR98IRkBcCnBSRF9L8PhwBUQQ4KcKfiMJA4ME9d3Rp3xwGpaqgU++HeO25He43RqO4WXtMHDscxw7vR51G/6CsSQN2Ej786wscOn6ObcyTH/2gft3h5ZkRSE4WShTeGxMdBTrRSoRPtdoL8PTBYkSEeSLrBnFe2MqbFNm7eztmTBnPsiHKVegMP++9SE6KxuET51G/YZN8PwakWLApV5qFIlvZ9mEWSV8+PUTL1u2wY++RfPdXnBrcunmN2dYIgtlpbNJmigjml1so9LrNO1G5SjUkJyeBrMMoJDhr1axiy55JLW0LJCaSRUw0uvXow1Q1VA/v30Xnds2grlGG2TV5v9iMj8GU70J9pWHJ8jWgAPecrKlyw5+UGxfOn2Gh5devXmZKkQZNt+Bz6EP4eG5jCrAjpy6KNBcOWieLMOdqNXDm1HE2dkHRKXXy+icySFCUJeBkZ8EyTPqP+sqep3PHGjN1Alkk0eetaz8PvHm9H7euDBb7rAlnsGhoaKJZi9Ysg8WgZAnEf0uB+9176NC6CfT0K6JLv+eZCpa69RrirrtbNqVI1mdAISkJSsGBmeQGy+0gxcf3IHPK91CIiRH7aKdra7OAcqbwMDVDmqmwwsOEvZauKlsXByJHicSgZ0Hw3fbP+q0MI8FGv5JSCWjrWCIy3JtlyFCWTF6n9XOyz6JsDfdHnoVqnyUW4DwuyClTpFx5S1xze5SZIZNX/0QeEYmkoKAIXf2K7PcA1cVrd+BUxVmaoWHFsoX4d80KKCurQ1PLjFnOCRepQogUES4KFd+wZXfmSzQ/UpjRdxkp3ygn58aFXihvVQF3HmT8XpNniSNFpFGK0Dwo14UIbQVFRTRs5AJaS14cAY4AwEkR+T8FnBSRDvMiIUVOX3bHrL+2YnCv1jAqneFlK1zd2zWCqqqKdDOTU2tOisgJaH4bjoCMEOCkiIyA5N1wBPKJACdF8gkYv1wiBF57v2I5EeTTXt9lA/xe70fQu/NFdjo1t0Fv3bQOC+ZMz/b2yXPXULN2XQisgOg0tZqaIWKi3zElyNgJU5g1mE3FwWjQbDPcb4zFa8+tmLNgKUaPm5wnRr4+3rjj5go9HU1GvBiW+bEpLBG4Bbxo2aK5oM3qKjVno1rt+bh5qT/e+h7OF5EjfGvy0q/maMU2sAeOicTnjw+YcoFsuSh74WevDx9CWJA02V3Va9AIZHkki8orFJqyXvIqOtVORJ5gI5QUPuUtK2DwsFEYMnw0sy6ije6yJg3Rtus1vHy6Bg/vzGBdUt90cn3qpDHZrKnMLcqJnRqRIpXtyzFlQb8Rn/H54z2cP+7CQrTFZU0IOqcT4C+eP0XpsmXh0qwldHR0Re5LuQwVzAyYdRkRL19CH7HPVVXn6nj29DFUVLRQv9kWvPU9ggD/U+jZZwDW/Lsp17GPGzmY2WAJFyk9/pg0npEin8MiUNnOgilQ1DWN8C0+FOnpaWjVtgPioiLxntQiAMwAVNQuibGduzE7K8WQYKT6v4F6rASERwk1pBqbsPBygbVVmpl55p9TzM2RrqklFv/CuiDg/TvExsYwxRFZuVGRAo5UCkSyUZEKbvGyVejdj+zTcq+cgtZnz1ucLXy+sOZS0H6JOHC9cZURRJZW1uzZJBJI0po4ZhiOHTnALqfPpKFhKcTGxcKqgg1GjpmALt16SdqVyHVkjUV5J/TsC1dJHSuWYZOamsi+bz9/DmUkKtkhzpm/BKVKl8m8nOZW3liX2e516v2YWXvduNi72JIi0mSKFAhk3ogj8JsgwEkR+S80J0Wkw7xISJFJ89bhqpvoL13hadw9ux462prSzUxOrTkpIieg+W04AjJCgJMiMgKSd8MRyCcCnBTJJ2D8cokQIHsZl/rVQQSAcJ255JothFuiDgvpItqEdbQ2RXx8HDuJm5wcw+xe2rbvhC07D6BNs/rweP4UrbtcQVnjBti3pTSz89m8cz9GDu7LRqVn4IiIsFfsBL041cXObZswZ8YP+zDahNy++xCatWxTSDP80W2uSpGTF1C/QeNs96fNUrKzSktNRYOGTbJlAggrRSigmE4g/ypKkcJcDHGh0Lndm4hGCjD3fe2Ne3dvi4RKU5sDR8+wnAGyg6Kik+v0OaTnUkDW5WRNRTkwa9dtkWjKzg6WCA39BO2S5fHt21f2WcivJZe4G40c2g/nTp8QuWzytJnYunEd27wXrmOnL6NOvQY5dknWfZYmej8yWL6+gPeLjahRqw7cbrnhW+AHpAQE4s7+3XDbswOmaWmM/BD8GEsQXJ4C4AMASnBQsbKGQ5t2SDUxyyA86IdUH/rZDxqKw6C4vE/E4NfPobC1d2CB5bxyR4Ds7dxcr2P0sAHZLqL8mIKSqkQ+13G2Z8SdoFRL6KFGvaVwvzFGrFqK2uRknyWwgpP3mopTitB4SDF24/oVRISHs88rkaK8OAIcAekQ4KSIdPgVpDUnRQqC2o82RUKKSDfk4tWakyLFaz34aDgC4hDgpIg4hPj7HIHCQYCTIoWDK+8VLACWSAAiFcqUNWKnZYUzEooDRgkJCexkOuUukNohOvINTh6oBoty5XH38avMzSRbhyEobVSHBQ5T+QV8wZKFs1nQesbGM9gparLWyquqOljic+gnlKvQFd8SvuBTiBtTpJAypbArLjaWZYpQ6K6gaMOJ7p01U+Ts6RMYM3wAO7FPRe9TFgWdzBeunDJFDh0/z+b0MxWdjPd/48dyTEqW1Cn0oec3FJrWjLJChO28FBSU0WOQD549WAJfr51MoVRCTQ1rV/0lMn4KIifbo+ioyBytqSiUmmysJClSolAWhXAI+p6DJ2BqRnoK2RR9Jvfu2oYH9+4wqyYiDFcsnc/ss4SLVC+U25BTKUZGIsHHG+PbNoWFogpaV50Ira8voRBwGeWUlEDaLKXU1DwHzOikUqUZuZHy3c4qzTSD7BgxfzbuBwfCsNpUqKgZ4JH7TBZaffzsFRzYuxOUj0PKC8ptIPsoXr8HAoLQdsqoatxyN25dHcoUkouWrcLQEWMYCETEr1i6ABfPn2ab/tVq1GJZW/Q5zKkERLphaWdUrv4nHt+dy2y0DMvUwNfQR2LVUtRnTkHrRJRmVWrJY5UkIUXkMQ5+D47A74YAJ0Xkv+KcFJEOc06KSIcfOCkiJYC8OUdAzghwUkTOgPPbcQS+I8BJEf4o/O4IWJkZsFyMOo3WIibqHTyf/wOnylVx8bo7jhzcy7JDhKtVm/bYvifDkic/m+l00pdsTIiAGTQ2hgUbH9vrCCMjYzx++UYuy0AZC2TB9P6dP7NdIbuVnLIrWjWth5cez2Bs1pTZYwW+O8tyHe48fJltnLTBf+/uHWhra6OxS3NGgP1MNWv6JBFyi8KmW7ftwKymCnq6W5r5x8fFwdf3NSwsykHvu8pg0/q1WDx/FkqVqQGnalOZJRZZuTVsvoMRa75euxgp8uC+O54+fggLq84wNW+Gu64TkZ6egldvQqCurpGjNRUpLUhxIWmRAoNshohsyct2i+axZ9dWUL6Qjq4e6HNDP/ktUivUcLJmtl1d+3rgg+8hhLrPQtvKVTF32CgohWTkeFB+h1JIEMv3UIiLFXubSABxBoZILF0G13288T4tDaq2vaFg2QF7LvZGuJY2PN+H5tgP2YiRnVj3AV4ooW6IfZtLM+JQRVUVSYmJmW3Ias/90UuGVX4rtzyUrARmfvuV9Hr6vvLxfsXsAoVzXyRt/zteJyBFTMxboEmrPbh1ZQiC3l8QIUW2bPgXlCskXJR7cfvBixy/i4nkXLl8MRyrTkKtBv+D6+WB8Pc5mNk8L7VUcVwDTooUx1XhY/odEOCkiPxXmZMi0mFeJKTI+p0n8exV7v8o+2fReGhqqEk3Mzm15qSInIDmt+EIyAgBTorICEjeDUcgnwhwUiSfgPHLiwwB2oQMCQmGja29RAG4kg50ysTROLT/RzAttRMOVD535iTLaoiNiUatOvVZULW6urqk3Ytcl5NSpFadejhx9mqB+iOVytlTx3H96iXExcWiTr2GbDNfTU26v687VDAB2cH0GvwWqmp62LNRj40v5Gt8gcYp70ZEZm3dvB5v/f1gZ1cR4yZNY0RH1hIEk2e8nhFGLigVFRVGAslSBSEOh79XLsPa1ctBxANVm3YdsWn7Pqxavhj//v0/OFWbxmxzrl/ohfdvRC2mDhw5jWGDerMMlB+lwOyziBQhJUNO1lSktqBnRtY1oE9XXL8iGsD+78bt6Nq9d+63SkkBhZVnEBwhLLA8wfc1Hh45AHMFRViqloRWItEZeVe6hibL8Piiro4bPj54k/gNFPFOP9H69ogv7YwXr/czIkOg9BL0qKSkjtTUBKZqO37mSo436tujI8ugKFFCD0rK6oiP+wBjYxMQgWNYpjojrh65z0ZMlD+27jqIxk2aweP5E6YgiYqKRKXKVVlAfV4lnFMhuE5YcSAOA2neP370IGZOnci+U6iIJCbC09vLk5EkZC9IuRu8RBF44+eTaV8n/I7r3aewtrFjL1FGCBHTNesvh6VNT5zYXwVJiVG4/9Q7R1XRtcsXMLBvt2xB7i3btGc5QjlZHxbndeGkSHFeHT62XxkBTorIf3U5KSId5kVCiuw8dBEvX7/LNvLLrg9hZWGMQ5vmQ0P95/AT5aSIdA8gb80RkDcCnBSRN+L8fhyBDAQ4KcKfhOKOANmNDB3QEzevZ2xQkrf9jNkLMWLMBJkMnU5EU1bD3Tu3oKamjibNWqBz157ZLKVkcbOcMkV27D2Cps1bFah7wclk4caduvTA+i27JO4vp3DkkJAgvPH1kUgpIvGN5HQhKVxI6SJcRHDQSeysVkY7tm7E3JlTRK6lkPLU1G8sH4VsbTp17ZkZuF63fkOmsCmMeuv/Bg1qObGu9QwcEBn+GunpqVi7fitTeYwc0jfbxijZZZUvb8VIDVJtDOzTFZQ3UMGuD975HUdC/CdG6jx49pr1m9WaqnmrtmjXobPMp0MKKrvyZVm/pGb5GOwKf+896NqgMTbMWciIjwyFh0DdkfH/Sl8+A98t23IbVDKRc/SmuQVK16zN7KzShHM8jE2Rpq+f2Zyyb0jZMnncSHi+fI5WnS7CxLwpDu4oj/hY1hOq112C5OQ4eDzKsB4jzChTqHIV5xyH8crzBYYP6g3K3aEqU6YsGrk0Z8oyIkTKWXXGlbOd8S3hMzQ0NJGQEJ+NfGnesg127T+WY/80ZrL1o89mPZcNiPjqCa8XG+BcrQbOXr4l8/US7pAUKg7WJkw9V1LXGvGxwUhJSch2T/reatm6XaGO5Wfs/MzJY9i47m/4+fmwoPVRYyey3yeC+kGKrIClTQ8c3+fEsnlyI0WonTBBRsq+4aPGY94iUZu8nwUrTor8LCvFx/mrIcBJEfmvKCdFpMO8SEiR3Ia8Ydcp3HB/hiObF0BRkU4cFf/ipEjxXyM+Qo6AMAKcFOHPA0egaBDgpEjR4M7vKjkCgo1/RUUV6OhaIyLci9mMPHrhh7LF0KqJslQCAt7DxsYOGpqa2SZK4fN33Fyhp6OJBo1coKSizkJlw758gXP1mqhes7bE4HRq2xSPHtyDfaVR0C/lxIJ3lZSU4B8cDiICJKntWzZg3qypIpeSbRPlRghO0eeWKSJJ//K+ZsN/a7B04RyUq9AF9V024Pr5nvgYcgt//7cZPXr3FxnOmpXLsHrFEvaarr49IyJIWVG+Qje8e3MMnbp0x/mzp0SyPASh5bKeF22mjh4+AGblWqNFh9N49nApnt5fiOGjxzPl0tiRg3D6xFF2W1rjsROm4M/ZCzKHISDcrCsORMNmW/Hwzky8fLoag4eNwpLla2Q93Mz+njx6APoxUVODi7UN9GJjEfvqJQ4tXwwLJVU4l6kOnQg/6Cd8gbK4USgqIrVMWaQYm+Cmnw+8oqNZiDkpPEIUFfFBSQkoa4Q27Ttj+qz5+VJEjRs5GCePH4ZBqaowKFWZWY4Jqt+IT0hKisaRXTYsU8bL/4NYUpQ+G+/83yA5JZmpAC5dOMuIErLHU1BQYrZlwqWsrPmdXEiDgqIK0tOScePOY5Y9krUoUN62XBkoKZVA/1FhCP/6EmcO14GllTVuP/AQh6JU77/2foWmDWpAU8sMvYb4w8dzO+7cGA0FRWU0ar4Dge/O4a3vEXTo3A0bt+6R6l6/Y+Oc7LMow4pUaTlZGQowIuUe5epY29iyrJ2ftaQlRWRly/ez4sfHzREoKAKcFCkocgVvx0mRgmNHLYsVKeL3LhidBs/BuT1/oby5fH2C09LS8TksAob6OlCmvwhnqZjYeKSkpkJPR/QvB5wUke4B5K05AvJGgJMi8kac3+9nRsD9zi2cOn6EBTbTydGBQ0cya5SCFCdFCoIabyNPBKZOGoOD+3ahVoOVcKw6EeeOuSD0wx3sPXSyWFi4CLz3S+roYsmCWbhw7jSDR1lZGZOnzsSkqTNzhEtPSxUvXnmheeP6LJtEUP0GDMGKXAKks3bUpF41EMnSvvttUBDvns2GSE1JyLRLkmSdBvXtxuzB6LR8Bbt+OHnAGYnfwkGB6e/fv0VaaioaNGwCywrWknRXKNfQifylC2fD/Y4b1NXU0KxFa8yavyTHUPQfpEhX1HdZz6ymSKmQEymyaf0/WDx/JnT1HRAVkaHMEC4KP/Z69RKljepAS9uMbQbTprn3248yn+etm9fQp3sHaGqZolbDVXj1/D+EfnDH1D/nYPK0Wex+ERHhzIKJCDdNLS2RMVy7cjFHpQgpTbr37CvVeBUS4qEUGJhhbRUcxDI86M8Bbq5M4WEGQBJDuRg1NahZ22aElxubYOflC7gfEpxJfCiXt8TlWw8ZSThicB9kEAlxImO3sbXDwePn802Iejx/is7tmiHx27fM/vQNDBAeFgZFpRJQgCKzzSKi8tDxc/nGi0gSYeJKXaMs0tKSkfgtLLOvDLIkFRpaJkylsnv/MRYkn1PVq+HI1lpT2xxJiZFITopGxy7dsWGLqNUftaWN4qWL5ny3+YsBWfIReUdKhfzWp08fUc3RCkRCN2y+HW9e70dwwOVMkuS9/ylcP9+D5REdOHomv93/9tfnN2j9VwNMWlJkcL/uuHLpvAgsa9dtQfde/X41qPh8OAIyRYCTIjKFU6LOOCkiEUy5XlSsSJH7T70w9I//MaWIg2056WYm1HrF+oPYc1Q02K+qozX2rZvNrrp1zwNTF21EfELGX17nTxmEHu0bsz/Ta38u2cwULFROFa3w35IJjDyh4qSIzJaJd8QRkAsCnBSRC8z8Jr8AAvfcb6NbR1Evb0enKrh8426BZsdJkQLBxhvJEYElC2YzOxIT82awdRjKwqPJlubMJVdUq15TjiPJfis63T9t8ljQye4fpQg9A3tEhL1iL9EJYAopz1pEiowfPw7bt25idkmly9aGr9dOpKen4cXrAObdL67GjxqCE8cOQUW1JMs3iI0JELFLEtee3v9BiixGBbv+3z3uI3H7vkeREiE0Nv83vqD1v371MlJTRU/eDxs5FpOmzMDiBbNx9dJ5kO2PjZ096HVSBQgXncB2f+SZLRiclBdjRgzMvFTPwBGR4V5sDciOKi4uDmFfv6BT70dMXbBznSbb6Pb0C4ae3g+LprxwFrYnow34ajVqYdbcRXCoVFmkGW2W1q1WEbQpLShS6Kz5bzMjNejPH0KC2Xhs7R2gqqoq0p4sl9q3bATa/BcUBThfv/04T0WFQlLSdzurkAwLqw/BUAwKzPiz4P+josQ+SjEKighMT2NkR4VmLeEdG4vtF88aTZ/hAAAgAElEQVTBNyGeKT00HSph26GTMDIyZn25uV5H727toaqqgwr2/VhGSnzcR3Tq2gOvvV6BFAsqqjpITqJ7Z2SjCKpMWSPce+LFrPTyU18+h7IskMSEaBiWMsKwwf1EbK3oOWnfsQtiY2OZ+oPygwjD/NT9e+7o2r45VNX0kfQtHFoly6FW/RV48XQ1s2SjItVFelpKrkoRuobGOX70UISHfWVtKljbYue+o7C0qpBtOBTETYHcwiXN3wvat2qMp48zxipcwnZapFSaNW9xfqD5Ja4le757d+9AV1eX5ayULpNhEydp0aEW6sPExIxZNf7Mqg9J5yx8nTSkCJF/1hYZvxfJlu9TiBtTfNE67D+ScRiBF0eAI5AzApwUkf+TwUkR6TAvElJk/4mr8PINyBw5nXiJiomD693nsLe2wLGtC6WbVZbWy9cdQNCHz5g+5kfgXokSKihbSh8J35LQsPMEjBvSGX27NGNjmDj3P1w+uBKmRqWw7cB5HD3rir3/zYa6mipGz/ibqVgWT88ICuSkiEyXinfGESh0BDgpUugQ8xv8IggITs1bWHaEpW1P3Lk+kvlRF3QDk5Miv8iD8QtPw/PFc7R0qSsyQyIZbt17zmyEiqooDJsCyYkQ0daxQkLcR6SkxEO/VBXo6lqDTlTTBjrlUGzZsR9kSSVcRIp06NAW165chkvrgyhv3RUn9lVh9mDnrrihqnN1sVMjOxUiNSjgl0rfwBD/btiGJk1biG0ruCAn+yzK3iASoSjxpfE1b1wbXp4vROZCtli0gW5n74Cq1WowFZFw0cb2uIlTce3qJbFB62dOHcfYEQORlpbGiKWa9Vcg8O1ZBL2/INInbQYblq5aIKXI6v8txZr/LRXpj+xyKOMkK75EiGz4dzX27trG8iQEReqF2JhoPHv6mL2kqamFZSvXoluPPiL9EjFCm+mUoUFWSy5NmkE9PAxKIUHfSY6M8HJBpgf9WfH7pnteD0x6CTWkGpuw8HJSeaQamyJYSQlTVv2FcC0zVOvvAd+gm7h2rivqN2yCwycyTnInJyfDx/sVdHT1suW57Nu9HX9OGQ8r295o3HI3Ht+dC4/HK3IdRhmjunCoOgEP3KYhLjYI+w6fytdzLtyxvrYqZs+egzWrlsPIpBHsK4/G3ZsTGNkqXKTAdH/smS8lJs25dlW7THKL8kWatj2Mx3fnwePx8szuKY+DcjnyKkEeCuWS5EXOdGjdhFmY1XPZCBMzFxzb68i+e169CcnX2AVjIeXaru2bWZ9EzhIO9EwKgtfpu2n3geMSEbcSfxH9BBeuWrEEf69cljlSyvQ5evIiIzolqawqB/q+vnbrAYjk+11KGlLkw4cQ1HCyhmoJXfQbEcpsES+eaMF+V9LvTF4cAY5A7ghwUkT+TwcnRaTDvEhIkb+3HMWTF74iI9fW0kCjOpXhUs8ZpQ11pZtVltZEikRGx2L5rBHZ+iWVyJiZf+PZla1QVc3wRG7T709GkPTt0hzdhs9Hy8Y1MLxvRsAbhcH/sWADPG/uzDhJFZY9EE6SwZfVVwfFpnwKT0DajwNJkjTl13AEOAJSIMBJESnA401/KwTIs5zseRq12IkKdn0zN1ELemqekyK/1eNTbCcrzif86ZNHOHpoH0JCguFUuSoGDx1ZZBtytIFOVkfut28xBYuaemn0HR6MoPcXceVMRygoKGfLE+jdbxBWrd0ggn82pYhRHfh4bmPX5KYUEeQ36BsawqVpC0aCUJG9FG1YUj5BfomMnILWZ89bnE3JQBtSZDVFeSgqyspo3LQF5i5Ymo3skdVDRlZRjtamUFRURrf+rxASeA3uN8eyXJmoSD9GitDmbUgw6RDArL+iInzwJfQRatWuixat2+V5GpsICFJmkEJDuMg2iDaUzcq1Q1JiOEI/iqrw5i5chlFjJ4mdJo2NCKv7d++wa6nfanUW4cXj/yExMYKRTjltdP+3diWWL5nPFAbm5drAx2sns0SjUlZWh4aWKaIj/aCurg6vu8+hGf6VER7KId9trUJ+KD6USHWSKmoJlm3gSkpILWvEiA5GeJiYIM3UDClC4eVpOaiWoqIiUdEqQ/VBCq4voQ9Z9kWf/oOx8u/1YvHJTSlCDes0WouYqHfwfP5PZj9Va82Fc625uHKmEyOt1m/exVQlBSkiRcaNHYvt2zYz27jK1afj2B5HREX6wqBUFVSuMQNP7s1nz9O6zTtFgrIluR+RV3NnTsGzJ4/Y5cIKpKbNW2Hk2ImoV7+RJF1JdM0PUmQDTMyasvDu1NTEApMiOd1UYBNIJImxialE4/qVLiKyy8aiFCMrre37IyLMC18/P0G7Dp2xecd+sVP1832NxnWdWU6MjcMQBAdcQUyUP6ZMn40/pme4ZPwOJQ0pQgd2K9uXY2o5bR1LJMSHIiU5Dv0HDsXy1f/9DvDxOXIECowAJ0UKDF2BG3JSpMDQsYZFQopIN+T8tyZS5MqtR6jtXJFlgrjUd0Y1pwzv0yNnXbHr8EVc2PfjxND42f+gnJkRpozqgRqtR2HJn0MZMULl5fse3UcswN2z66GjrYnQiB9+sfkZWSldNUaKfI78hnROiuQHOn4tR0AqBDTVlAAFBcQliNpjSNUpb1ysESACm1f+Efh71V9YvnQh+4c1/aMwMtyb2ah4+QVDu2TJfHdIhGRKWjoSEsVsnOW7Z96AIyA5Av16dsbVKxdFGqzfvCPbSXjJeyycK2lTpkObpnh4X3SjnE5oU84J+e8LqmOvB4iLDWan583MLPD4RYaaQ1A6Gip4+eoVGjesi7jY2MzXKSfowJHT0NMXtWeaNX0ytm/dmHkdZUpcuOIGO/vsQc1Sz57+DpzlK7p/767ZvNz79h+ENf9ukvp2OXVApIidpTGUlNXQta8HQoKusyB5QY0YPR7nTp8AkTXKyhoYOCYSnz644/yxJiLd6esb4MbthzAyNhF5/eTxIxg1bACzLWvR4RTu3ZoEf59DmdeQ+oc2LQVFgeUDBw+HfUUHieab03e1oqIqlJTVmSXUg6deOZIiUyaNwb7dO9CszmLUK98G764Og8aXZyy3g0LLyyZGQSfKHybpaRA10MphWAoKIEIj1dSUER2pJmbsv2mM/DDN+C/Z/+RDcRUQ8J6pVmxs7bFw7gxs3fyDAKFn8vwlV9g7OIrFiD5LbVs2ZmoE0VLAwNERiI56y/Jt6O8KdC3lcejq22Xa0t199BJWBcy5ocMAW7ZswYRxoxnppqNnm9lvxcrjUKfRGty6MgRvXu/D8lX/MBK2ILVs8Xys+2cVSPFB1blrD2zcultsiHt+77Vi2SKsEVIwUPvKVZxx5WbBbDXze//f4frgoEC2T6FaQg/9R4biU8htnD/eVGKcr125hL49O6GsSUO07XoN3i824a7rBPTs3R//btiabwjpM/Ezlp62KmITUpCcklag4dOhoMnjR4FIWSoHRyfsOXgcJr8hUVcgAHmj3xYBg5IlEBWXhJTUn/O742dcuDJ6aj/jsIvNmIuUFAkIDgWFqyckJMLUuBQq2VvmGHIuLVpnr9zF++BPKKGqAk+fd7h++ynWLBiDlo1rMnusSzcfilh2Ub6IloY65k8ZCMcmg7Hhr8lMxULl/z4EHQbNxrXDq2FUxgApqQX7RauspMj6K2h7aTHh7TkCvysCit83yNN+0r/k/67rVtB501/IlJU4KVIQ/KKjo9GpU0fcdsuwCtDQ0MDqNX9j2LBhBekOinQSIB3gn70CwSfSiE6QXrx4AX6+fnBwdECLFi3zfWpf+lEUbg/Hjx/D+XPnEB0dgwYNGmDEyJHsxLo0Rc+0gb4e64J8wikU2897D1q1ao2z5/IfeCzNWMS1dXW9iebNmkFFVRvW9gPw/s1JxMd9EGlG9k2kJiGi5OXTNexUP6k35s2bj1mzf5wIps8e/cr7+vUrWrZsAY/nzzP7oY3gXbt3o0+fjIDsiIgIlC6VoQqhU/mfPz1ARJgnhg0fjo0bZU9KpKQCylmcyUpqayEhIQHCZI+FhQXe+L8VB1uB369ezRkeHh4i7bW1tdG7Tx8sW/YXpk75A7t2ZdhnkVIk7IsHIsJeZp7GDgm4iuioNwz3hQsXifRz5MgR9O3TOxspQjkVAvUI2bSoqGgxcsve3h4vXnpKPJce3bvj5MkT7Jm2tu+H4/sqMxKbyr5cOTw/ew5KHz5AgZQuQUFAYBD7c9izZ1D78gWiMeo53zZRXR2qVlaAmRnSTc0AC3PA1AzpZmaAmSnSzcwBlQzFvbQVGBiILp07Za6Hvr4+Nm/ZgrJlyuL+/fswLFUKrVq1gqFhxnMqSRFZcOXKZbzyfAVrG2vMmT0br1+/ZqHeyckxLGC8c+cuLNuFrqNSVlZm1ldz5s6V5BY5XqOkqIDEpGR069oV589nfMfQZ5TGo6CgCF39iuzzRXX37j3UqFnw7CLKJ/H28oJVhQogzAqjCJ+ZM2d8/26ORoMGDbF8xQrY2OQ/aL0wxvcr9ElKEV2dktmUIl27dsOhw4fFTtHb2xtOlRyzKUXo98LcefPEts96Ae1VCPYt8t24CBvQZy9VSjsOWgtPT0/o6emhXDnZ5d0WISz81hyBQkdAFp+9Qh/kL3aDn/E7ujgtQZGQIsnJKZi/aidOX3YXwcLCtAzWLhoPG8vClcrOWLYFkVEx2LRiikRKkaUzhqFFowy/5axKEW6fVZweZz4WjoB4BLh9lniM+BUcAWEEPn78gC+hn1jgbn7DZoX74fZZsnmuEuLj0bxxLVDGg6DI5/rs5VsyPxUsmxHnv5dD+3djysTRIg1bt+2Abbt/nK7Pf69g9kc1q9iihJo++g7/iA9B13HpVBvm037m4s2CdFlobQQYWFp3R5PW+/H0wWI8e7AYFuUsUatOPbRt1xH79uzA1cuimRSCAW3Yshsdu3Rn/0v2Wd+SU+Hr9xa1ne3Za5RrQRvxcTGBzMefMgGoXr30QIsmdUDZFt0HvEKA/2lcO98dDRs3xcFjZwttvoKO6VRyBTMDFmbeoec9lp9y9VyXfIe653eggqD1B/fcoaWtjeYt22DO/KVQ19BgXUWEh6FX13bwfClKnJQxro923W7gtec2pi7p0q0X/tu0Q+T29B1K2Q+UDSNcFIBOeFN17vMUJXWtsHsDWQinwz84PM/QctYoJYVldmyeMQW+Vy7CSb8i7LSMoRTkCtP0FJRXVkbJLPfMCZc4gAWU00+cvgE8wsPYn+NLVcWnErp4EHwTpcqVx8w5ixASEoRKlavK1JIp65im/zEO+/fsYISgmpohYqLfMQs7D+/3MvuOu3PbFWNHDMLXLxnZHuWtKmDXvqMsZJzWmlQqNjZ20NDUzO+jJHI92WfFf0vBt+Q0ZsUTFBQIW1t7zJg6AceOHGDXErk5bNQ4zF/0IwdEqpvyxj89AtJmigwd0BOXLvz4vib7w+tuD/Md1v4zAymNfdbPPG8+do5AUSPA7bPkvwLcPks6zIuEFNmw+zTW7zzJws3J0kqnpBaevvDFjkMZ/7A7s3tZoShGBFCt3XqMZZrs/W8WBJkiz69ug4qKMrukZe9pGNC9RWamSKsmNTGsT1v2Hs8Uke6B4605AkWNACdFinoF+P1/VwQ4KSKblT98YA/+mDAK6hplWWA22SjRKef9R06jsUtz2dykiHvp2aUt7rjdZEqF0ka1cfvacLYZ6hf4VUQtQlkNnz99hI1dRfEbyABTVTjZWbBNTxZYHv+J+YQPHDICy/63tohnLXp79zu30KNT62xKkb9W/YsBgzLUWmTn1LppPbaxK0xy0HvCeQsCUuTqtevo2bkNa0sqDF19e+zdZIi0tCT4vv8MsiSKjIxgoe5UwkqRfgOGYMWadXliRITGyeOHcePqZSQmfkPd+o3Qd8AQZruXn6J8jKxkT05ZKfnpU1bXEolx7+4dJCTEszwOgW+/QCkyaepMTJuRXVlw7fIFrF29HM+fPWEWTVnLscpEaJW0wH23P6Cmrg7/wK9QCv2UEVr+IZj9VyEoEAmvvaD+9SvUv3yG0pfP5IOc95qoqCDNyJjleKSYCqysyN4q48+xuvq48uQhgoMC4FipMgsvty1XhuXG9Br8FqpqetizMUNdJVxt2nXE1l0HZQWraN/N6sPj+VO07nIFZY0bYN+W0khOisETT3+UlWFQNKk1fH28oaamzuzFCsNqU5gUyQoWfdaI3La2sYWWlrZYLIko9H3thdJljWSKg9gb8wuKBIGXHs/Yd42uri773V6a7OfyUfQ7hPowMTFDk2YtJHrG8tF9sb+UkyLFfon4AH9RBDgpIv+F5aSIdJgXCSnSYeAs2FUwx//mjhIZ/e0HLzDqzzU4s2sprMqJ+vFKM00Kdu/Qoi7MTcvCxz8QgyetYCTHyP7tEZ+QiBqtR+LPsb3Rp0szuN59jolz/8PlgythalQKW/efw7Fzt7D3v9nQUC/Bxlfe3AiLpw9hQ+JKEWlWhrflCMgfAU6KyB9zfkeOACHASRHZPAcrly/G2lV/wanaNNSotxS3rgxmxIjwZrls7lR0vbRqWo9t5rTpchV0En/fljJITorGU09/lClrBFLLDOjdBXfdM6zd1NTUMG/RckZuiKvzZ09h2qQxmT7hFZlP+AkYGWUEOReXoo3zzu2a4dGDe5lDMjUzx43bjxl5IagalW3wISQ4G8nRvVc/rF23hV2Wk1KkYuWx0DNwYOoGsvMJDI3J7HPOjD+wc9sPqyxNTS2cvezKwtXzqvX/rsayRaKEgCRkStY+5R20XtA1HzmkL86dOZnZXI9lijzKdfOSNuCb1KvGCKw2DVYi8fUBqITcYhkegh9zAHZaWjBMTIRCcnKeQyMD39DvCo8vaupIMzdHiIIitCo6ol6/gdCwtc/I8ZAgV+tz6Ce43riKyMhIptJ44+cDY7OmLEMl8F3GiXMiEk0tWsD31Q4Wrn3r3jOmrJB19e7WHhSObuswBKWN6jBSlMov4EuBlRtEshChTHkNpNAZMmwUSpUuI+uhZ+svL1IkPzffs3MrFs2fyb77qOrUa4Cd+45CWzv/+V75uS+/liPwsyLASZGfdeX4uH92BDgpIv8V5KSIdJgXCSlCSgwiKcYO7iwyev+ADyDChBQczpVk503ac+RCliUiqE6t6mPu5AFQK5Fxcu2G+zNQuLqg5kzqj96dmrL/jYv/BsoYcbufIW93tC2P/5ZORGlDkrdzUkS6x4+35gjIHwFOisgfc35HjgAhwEkR2TwHv4NSZOqkMTi4b5eIfU6ZMmXx9FVGpgQFCv+1eB4UlVRRUseK5SeQ//9z7/fQ08vw0o+JicbShXNw/eolxMfFsU3E2fOXorylFcgn3Mf7FXR09WBmbiGbhSmEXkjZcuvmNXh7eaJceSu4NGuZTRHTpnkDeDx7AmGSg4aycesedOjcjY1KQIokJKZCQDgJD7ddh87YvONHcDu9R6HU9KNvaAiXpi1A9iviqnnj2vDyfAHHqpOhpW2K+25T2CY2bWZLW7K0NJJkLIS9n+9rqCirMGulnFQEdNJ/0/q1bH2qVKmG4aPHs65vXziHeK+XqGJgCCddPSgGBzG1R5y3FyKeP4W5giLU0sVnEqbpGyDZ2AQBqam4+cYX75KT8UlFCwFIx7vkOJDhmbAhl4mpGe498cp3vtDTJ4/QrWNLJH77lic0dZusg32lETh/vBk+hbgxMrFp81YibUi1dPPGVUSEhaFmnXqoUrWaJHCLXHPk4F5MHi8aON6qTXts3yM+TyGnmxEZ5VK/uohChwjGOw9fQkVGOSi5TVIWpAg9Z1UrlmcZEzp6doiNfsdIqT9nL8CEydPzjS9vwBH4HRDgpMjvsMp8jsURAU6KyH9VOCkiHeZFQopQpgeFnR/aNA+W5kbsHxoRUTH469/9OH/9Ph5e2ARNDTXpZpaldUxsPLtHKQM9qKtll/Gnpqbh05dwlDagoMMMGy3hioqJA2WhGOrriLzOlSIyXSbeGUeg0BHgpEihQ8xvwBHIEQFOisjmwaAA6qYNqiPg/Y/DHs7VauDMJddCsX+Rzajz1wud5iYliM9rL9ZQV0+fqR4o54Fq1LD+OHvqOOo33Qxbh8E4ebAGwr944MTZqyxvg2rJgtnYuO5vkRuTTY6CogKzCZr65xxmFfSz17bN6zF/9jSRaVDmw6XrP3L7hEkRUqCsXrEU165chKKSItq274ShI8ZKZD8mDivKa6Hclq79PFiA9Z5NBiwf492HyHxbaAnuRRZHo4b2w4Vzp9lLRH79MW0WJk6ZIW44BX7/4f277J6hoZ9YHxblyrM8m4oOlaCQlMQIjq9PHuPfyWNgEB8PUneQ0sOhpA50Y6KhI8bSivqMU1BEYHo6ApEO/SrOsGvVNsPSyjjD1irV3BzpqiUwbuRgZkkmXPqGTgj/+oK9pK5RBlVqzMbTBwuR+C2MrTutf35K8HkyLO0MPcNK8PPazXBesHQlFBUUmMXUru2bsylF3O4/h1WFH4fYPF88R6d2zTLVDOyzOnYS5i5clp/hsGtJgUMWarEx0ahVpz76DxomYp2Xnw7J5uy/tSthZNoY9k6jcM91ErPOO37mCmrXrZ+frvJ9rSxIEVKLdWrbFPqGldC5zxP4eu1m6pl2Hbtg8/Z9+R4Tb8AR+B0Q4KTI77DKfI7FEQFOish/VTgpIh3mRUKKfAwNQ4dBsxGf8A36utqMaPB9G8xmQgqOXh1dpJuVHFtzUkSOYPNbcQRkgAAnRWQAIu+CI1AABDgpUgDQcmlCJ4ZvXLuMt/5+zNKI/MbJAkkW9ezpY2bZpKevjyYuzWFYqrQsui1QH4EB75nig+ZIm7SCmjFlPPbu3g6z8m1hbdcXd26MRlJiFK7ffgQ7ewd2WUuXuqBN2obNM6x+3G+IBreTguGRhy/LEyC7oHvubtDQ0ESzFq3RvlNXuRNMdBqcLHKePn7IMO/YuRsaNBL/92EiOYggIpIjPp4UMQ1ZjgdZiglKmBQp0EJI2GhI/x64fPEcC3BXUdFCXGww7Cs64prbQwl7AMtHWbxgNrNPIkKECAnCREFBCbr6dogIe8X6cn9E6hnLXPsVtoOqU7e+ZERBaiqUPn3E9K7tkPTGF5aqJWGSmgjj1EQWWl5eSQklExPFzoX0Fh8UlRGQloogpKPJ4OEoWakyIztOPryP2evXIvS7KqNuvYZMcSEIdBfunILZLU30GA71XDYyIsT7xcZs96fN/pSUeHz59BCHjp+T6LkR7qRt8wYs64Ts6oxMG2Hf5rJITAzHnQcvmEqGsHRpUINl8QgqJ3XRxLHDcezwfuiXqgzDUs7w9drJQsR93oUW2PZKLNgSXDBz2kT22apRj2wHp+DCiZb4GHyT2U+1aJWRGVlYJQtSRGC7pqyiBeeac/Ax5DaC3p9nn/P/icn5Kax5/U797t6xhT0/AQHv2PfZxD/+ZL8neBVvBDgpUrzXh4/u10WAkyLyX1tOikiHeZGQIjRkUl4cOXMT3n6BSPiWCAvTMmjfvC4cbMtJNyM5t+akiJwB57fjCEiJACdFpASQN+cIFBABTooUEDg5Nls0byY2b/hhJ0obtafOXYOjUxU5jkL8rZ48fogOrRqLXGhja48bdx5nkhk/SJHt+Bh8C37ee2DnOBzV6izCxZMt2QYzbUafOXkMx44cEOlr0bJVGDpiTK4DISVLZEQ4bO0dZGa/075VY7b5L1z7Dp9Ck6YtxAMi5gp5kSK0eTtkQE+883/DRkTkzsZte0Ab/8JFuQg+Pt4wMzOHgWEpkfcmjhmWbT3oAlq3KjVm4NKptggJvMrsvmhjPqfKyQ5q0pQZ+HP4aMS8fAG3vTvxzccblioqqGJYCgZxcRlh5p8+AqmpeaJJ78bp6iJYQQEvIyKAcq2RZtECF579A+/o9wgC8DlLDweOnkGjJs0yX6XAbFJBUT5OXsHhUVGRqGhlDCVldfQf+YU9s2cO12X9NG61D/oGjjix/8dnkwgIyt3Jb1aGQCmiZ+CIuNgQJCVGsHuU1NHB6n82gULVY2NjcPPaFYSEBDGCqV79Rtlw6tK+OR7cc0fLjmdhatESh3ZYIS42qNCyRyT5YJB13oK5fzLiU0FBkdlPRYZnKNAePHsNstEqzJIFKeL/xhfNGtZk9lnCRerAatVrFubwf/u+Kbeqe0dRizginO8+fsU+v7yKLwKcFCm+a8NH9msjwEkR+a8vJ0Wkw7zISBHphl18WnNSpPisBR8JR0ASBDgpIglK/BqOgOwR+NlJkXdv/bF04Wzcc7/NTj2Tl/6cBUuhpaUte7CKoEfa9LS3NAJlKdhUHIyvX54ySyrhwO4iGFaut6R1IFuh0E8fUbmKMwYPGwUKuhZUTvZZto7DUL3OYlw82QLhX19i1/6jGDG4L9tsrOeyARFfPeH1YgPIjuzs5VvZ7v3x4wdm60W5GVQ6Orr439/rc92clxQvskKrW92BhVrXb7oJ7/1P4/2b4+jWow/+2bBN0m5yvU5epAgNgJQr9FlJTPwGIqqyKpgojH3lX4tYrgsVnbgmaypBtoOzgyWzrWrZ8RxUVXVw9mgDdl1ZkwYsN4VySuJjQ3D45AXUb/CDGFOMjMwgNkKCcXjFYkQ8fwZrNX1YKKrAMD4UpgCym+dmgUxBAWmGpeARHoZ3qalIMq6Lxx/uMbWHTpWJ8Iz0xcP3F+Fcqw7Lyti6aR109e1R1qQhfDy3IT09g1Axt+wAK9teuHN9FJKTorHv8Gk0adq8QOtYq6odCwfX0rZAYmIE64+qSav90DNwwMkD1dh9VVVVWWbOoKEjWaC4260bDPtGjZuiW8++eSrJspJIysqaUNcsg5iotyxLxsP7PVN8iCt5K0WyqooaNnJhVl2Czeovn0PRrFEtpj4SLnrWps+ajzHj/xA3JanflwUpMnr4AEbeqqiWZCqsuJhAGBmb4PELP6nHxzvIG4EVyxbi3zUrUMGuH3+sy7cAACAASURBVGo1+B+unOmIL6GPsGXnAWY9yKv4IsBJkeK7NnxkvzYCnBSR//pyUkQ6zIuMFAkMCcX9J14I/pg9fHH0wE455n5IN9XCac1JkcLBlffKESgsBDgpUljI8n45Ankj8LOTIh1aN2HB08I1dsIUzJq3+JdYeoFFC22+9hzsh+CAy7h8uj3L6KCsjp+thIPWoyIjERcXKzIFNXV13Lr7DLTprKRUAv1HhTGi5MzhOrC0ssbtBx7Zpjz7z8ksW0FZRRPqGmURE+XP8k5evA6Qyr7spcczFoCuo2uDbgM84e9zGK6X+7MMlV37j0kNvaSkCI3j3t070NXVZZZspcuUlfrewh3Q5j7hTUUb+lERPkhLS8HKv9ejT//B7PUfpMh5qKhq49zRhigBgHTklNtBP/Za2hjVvhPSA98j+oUH9GJjoClBjkeihgZ84+PxQUkNySb14RnpD6/od6jVsy+6T5uJVBMzpKuoYM6MP7Bz26bMoSsokHVbeibpoa1dEhevu4Nsp0jNISjaqP74IQQNmm2DTcUBjLBgz9TFm6hWo1aBsLx5/QomjBmG8LCvrL2Orh6iIjOUHIJyquLMPqPq6upMFbF1438i70+aOhPTZszN8/5kkUW5FUTQtep0AcZmTbF/qzHLKSGbOWMTopXyLllmioi7F72fk6qINqppw5rqnzUr8L9lC6FdsjzMyrWGzyuy0vuG81fcUMW5uiS3kPoaWZAiDWpVZlaJHXs9YCTc3s2GSEtNgu/7z9DU0pJ6jLyD3BH431+L8M/q5d9JkZW4cqYDJ0V+kgeGkyI/yULxYf5yCHBSRP5LykkR6TAvElLkxAU3zP3fDjbyMqX0oCLkE02vHdu6ENpaGtLNTE6tOSkiJ6D5bTgCMkKAkyIyApJ3wxHIJwI/MylCFizWFqWY/UrX/i8R+uEebl8bBqfKVdnm6K9QpBSxLVeGTcXWYQg+hz5CxNeXTBWjpKiEmrXrYubcRcxT/Weszev/waEDexAUFJARtD5jLlMa1KvhiPfv3kJT2xxJiZHsJH7HLt2xYcvubNPs2MYFjx/eZyoGE/PmOLDNFN8SvuDeEy+YWxTc/jUuNhaONqZMsUKbnnRCn3JQJk+bxQLhpS1JSJFVK5bg75U/ArFLqKnh6MmLBd7Mz2nMly6cxdABPWFk2gRtulzGiyer8Mx9Fib06IOZA4dAKTgYZ/9djZhXLzMJECJBDCUAIAFg1lXfSpfBF7K3CQxAhLY5ovRscT/wKkJUVLBi004WoE5r16rTeXg8/h8e353D1BVLV/ydeRdSsRzcvxvubjdZVgvZXVGRvRRZL6Wnp2HrroOoW78hy/b5EhqKqtVq4P69O1ixdAEj2bR1LBEZ7s0UHB6vAxAUGMBUZlpaWmjctEWetllZp0uZImS3RZk3+gYGWDx/Fm5eu4yEb99Qr35DzF34F8zMLVizKhXLgxQS1esuQXJyHDwe/cWyVyiDRVz179WZzce64kAYmTSC29UhrInP+1CJFXGkyrh54yoiwsJQs049pqgprMpJVaSpqQXfgAxlyNRJY3Bw3y7UbrgGDlXG4eLJVvgQdEMuWSKCOcuCFGnfshFIzUNKKSIT3W+MQYkSJfA2RJQcKyycf+d+79+9g64dRC0M6TNN1muyJo1/Z5wLY+6cFCkMVHmfHAHxCHBSRDxGsr6CkyLSIVokpEjL3tNgaWGMfxePh4rKj+BM6aZSNK05KVI0uPO7cgQKigAnRQqKHG9X3BAgmxoKI/Z69RLmFuXh0qwlOylcXOtXIEUUFVXQpe8zfP70AG5Xh/5SpAg9N1kzRbI+SxWsbeF696lICDmRKX6+PihvaQVdXb3i+vjlOi7XG1cxfvTQzJP4NEcKYLa0qpCtzYA+XXH9ykVY2/eHsZkLewZog9zL/wOz0pKmaPN27qypoLwNKiKhKPOEVAnSljhShEgAG4tSjJShuUWEeeHr5yfMFoyyOwpc6elQCv3ELK3I2ir4zm1c274J5ZXVYKdlAr2YIJRKTYI4Y6YUBQWEAPiqoQEth0owrlMPaSZmGLlgNnzi41Cx43lQBPjl021ZnsaOvUfQrWNLJH4nM2j8E6fMQO++A1Hb2Z5NR1ipsvqfjejVd2CO05w8bgSOHNrHlEFWtr2RnBzDrLIm/PEn/pw1X6QNqZMG9+vOyA8qyuRZsHgFwsK+MsWCoGhDe/+RM6hTL8MaTJZVzlgXyUlJ6DfiE5KSonFklw1TM73yCxZ7G8rWIfWFcMlKrST25lkuOHfmJK5evoDYmGjUqlMf/QcNy/b7LSdVUcmSOvB++5H1lptS5JrbQ7mRu7IgRbZtXo/5s6eJIFRcbQ3zu84/w/XCQesVHSph8tSZMsl6+hnm/jOPkZMiP/Pq8bH/zAhwUkT+q8dJEekwLxJSpPOQOWhavxrGDck5IFG6Kcm3NSdF5Is3vxtHQFoEOCkiLYK8fXFBgE4v0ilGQZmYmuH67Ucy2UQtjDn+zKQI4fGr22cJ1vzZ08d49OAeO2FNllq1G66GhVVHnNhfFclJMXj88g2MjIzZ5USibN30H8shoZJVBkZhPH959Sl8Ep9O1edWlGEybmSGzZOgKFuGyAtZVGJiIny8X8GwdBkYG5vIokvWhzhSJCQ4CDWr2EK1hB76jwzFp5DbOH+8qVjSTzE8PDPHg4gPxZAgRoAoB2eQIIofP0Dhe3ZIbpOhJyfFwBAxenpwfeOHQCI/NI3gG/eRKT9CFBURkpaGdKEOrrjeh4OjEwshJ/uqdt1ckZISj0un2jBS5LnXO5AdFBFekZGRqFO3PgsHp1r3zyqsWr4410wT4XGGff2C6k42SEpKzHxZQUGJ2WjNX7QcI8ZMyHFalD3zJfQTbO0dWFaKTbnSjOyysu3DLNeIVKUsld0HjstsjQUdCVQFGppGSE1NYvZXDRq54NDxcxLdi9Q89EMWXWSdN2DQcKYWk2dRKPr0P8aJ3DIngk6cfRatn0uDGiKZIk1btMaeQsBdeLA7tm5kwe4BAe/g5FQZU6fPQt2GTQsMIR2AOHvqOFMtxcfHoU69hug7YAgo8JsXR4AjkDMCnBThTwZHoGgQ4KSI/HHnpIh0mBcJKbJux0lcv/MER7cuhLKSknQzKOLWnBQp4gXgt+cI5BMBTorkEzB+ebFEgDatyf9dRUUL1vYDEPD2DOJig7H4r9UYMnx0sRzzz06K/OpB61kfml5d2+H2rRvfSZFOOLGvMpKTYzNJEY/nT9GmWX3WTNhWiFQWLVq1lfkzSKfw/d/4MQUHnQaXR5FtEmU6vH/nD1u7imjUpBk7vX754jlERoQX2aZxfucujhTJSSkS//kJBjVphkVjJkA5OAiKwUGI836Fj/fvQjsyAqbp6VCTIMcjTd8AqSam7CdCSwtu797iXmAAgpWUYOhcHZ0mToVTtRr4b+1KLF8yHxWdxqBO47VwuzoMft572FRJlePS+gDcro1A4NszmYTEyKH9cO60KCHVpVsv/Lcpw6I3tyKCwsfHG2Zm5jAwLJXrdQf27sS0yWNRUscKlavPwMtna5glFgWY3338CqZm5mKXgsiZqg6WUFbWwMAxkfjy6RHOHKnHnqcbdx6LbS/uArL28/V9DQuLctDTN2C5R4QLZZtQ0Ri37z4ER6cq4roqNu/36NQa7nduwc5xOEqVqYHb10cwdVr7Tl3hfvsWw79J0xYYNXYi1v+7hikmidjMGrROEyJ8rl+7jODvtnn1GzYRUboJT5qwo2Dt508fo3TZsujctSf+mDYr1+tzAoy+M+m7U7hIwfnwuQ8LrefFEeAIyAcBTorIB2d+F45AVgQ4KSL/Z4KTItJhXiSkSMK3JDTsPAHVK9vCUD/7P2xnTejHg9alW1femiPAEcgFAU6K8EfjV0Dg+NGDmDB6KCysOqFZ2yN4/nAZntxfgOGjxzO7luJYPzspUhwxLcwx0Yn6vxbPE7mFtY0ds8+i2rt7O2ZMGQ8r215o3HIPHtyeDs9na1kGBmVhyLJmTZ+EPTu3gk5MU/XuNwir1m6Q5S3w6qUHli6ayzaVDQwN0bJ1O3ZiPjDgfeZ9nKvVwJlLrvnaJM3vIF88f4r799yh9//KCQo7J+WDtJWVFCH1hhJTdYRkWlu9PHsKkR7PMrM8JDEDo+j6eAND6DhVQYqJKdJMzTIIEOMMEiTV3BzpqhSTDtCp/VrO9pn2YPQaWYPdf+bNbNf27NqGmVMnQN/QCVVrzsbje/MRFfGataXQb5fW+3H72kgEvD2dSYqEfvrI8jXcbt2AoqIiI63mLlgKw1KlpYWMte/fuzNuXL2c2ZemlhniYoMwZvwfmD1/iUT3IBVVTkoRWdhSUQbM2tXLkZKSwsbSpl1HbNq+jz2fb/x8GHlgaWVdqM+rRCDk86LmjWvDy/MF2na7idJla2PfltJMpZa1xFlIXTx/BuvWrsTr114Mh+Ejx6JH7/45joYIULJWozwW4fr7v825tsmpo2WL5mL9v6tZLkvNesuZeinsyzO55pjkE25+OUfgl0SAkyK/5LLySf0ECHBSRP6LxEkR6TAvElJk+8ELWLP5CDTU1WBhWgZKiqJuwtvXTIeWZvH1RReGnCtFpHsAeWuOgLwR4KSIvBHn9ysMBLhSpDBQLd59Coc/KyuroHHT5ujavTfbDC6Mok3CvxbP/a6KiGChybPnLWYn3KnIzmXUsP4oqWuNGnWXwOPxCnz9/BSLlq3C0BFjZDYkCjangHMqUqREhL0CkI59h08V2NedQospEPvZk0coXaYMOnbuznIjPoRkz10gG6JyVp3x5vV+JCVFMRsisiMqjCKlBCkmBEVh5yfPXUPlKs6S3y41VSTHg+ysND5/QFpgEBQCAxkJovj1CyBG5ZGuovKD3DAxQYyePhZs2YAPymqwbXcMHl9e4Ir7LNSt1xBHT1/KNj4iQShwOzwsDNVr1sZrL0+mutA3rISqNecwEpdUF2vXb0X3nn1zJE0oNDshIT7Tnk1wk/9j7yrAos6+6KFBQUIQkLC7O0BFwW6xA1vXrt1V187dNdZdXWvtWnXtbhQbE1RQQFSkFBVQWur/vw9mnEFgZphE3/0+PurFfef9ZtB33j3ngpc3SNtfmSGQFKM5dHQMkZ6eZbZOcej4eTRumlUlJU0IvC2E+2pggL0HT7JKo4LGi+DnaNaoZvbrohpio58xWS8BngUdVxP6TZ34A/b/uxN6+iYwMCyO+E+vGLFDpGiX3jeQnPwB5493gW1JO9x7FJRrymRsT/jQ+6ZonL54PdfXk6DyraiJI7r2uQE/n7Xwvfcbe49dvX6L1LAISJGKVYeggdOvzOeG3heVVUEndWK8IUfgO0OAkyLf2Ybz5WoMApwUUf1WcFJEPszVQop0GfwLypexw8p5Ywvd7aWccHNSRL4HkPfmCKgaAU6KqBpxPp+yEOjVtR1u3rgqHJ58Hjxv3FeZtJCs6+KVIpIRi4gIx6J5M3H96hXo6erCxbUNu/lOsjhULUGGr6Lx8y/zMGnqdMkDK6EFyVk1rlMFsbExwtHJQPrmfX/Y2NgqbMZtmzdg9oypKF95IFq02YpbXlPg77sWM2YvwITJ4ubD0kxKZuLkn5HzRjj1NTAwR/cBD/H82W7cuzmbDVerwUzUb7IAV84NRnDAXvy+cg0GDh4uzVQytSESqlLpEuzWPx2ofnjny26Yk4TP3xu3CcciQoMZl5N3R3iWrJVoxYfOm0ggPT3/uXV0kG5jK0Z6UJVHml12pQdVfZDUj5aWcBzCq3bVMtDVNYL7oCd4/eIEbnlNzpUU8fd7jG4dXJGQQLUkWdGgURPmVVOlxg9o2nI1q/oI9N+G+YuXYeQPWf4RL/4vj7Zzx2b2mQzvPYaOxONHPli3eiWCggJQrnxFjBozgR1UKztIJm3IgJ65TiPwNJElB78nj5gBu7GxMXtdy/saOX7kIMaM9IBD6fZo0+UYHt5Zgge3F2h0taC0eBGhMbi/OwKe+bMuZBSfnJQIeo0QKZKU9A4XTnTLlxT5b+8uTJkwGrZ2LeDacT+ue47Dq+eH8MvcRRg3cdpXqVCFVns3Z2SRIrfg57OaEb2ykiJ5yWd5P3yWr1SbtNjwdhwBjoB0CHBSRDqceCuOgKIR4KSIohGVPB4nRSRjlF8LtZAifUYvgFPD6pg43F2+7DWgNydFNGATeAocARkQ4KSIDGDxphqNAN2aJS11OoB0LFUGrdzagrTLNTU4KSJ5Zzz6u+PS+TNiDclQd9kff6NSaWvEx8ehYbNlSE6MwqP7KxTmSyCYUFbfDjq8JKKGDi/J64PIApLYUmQIzM1NzSszcuLh3aWIfueLX1eshseQETJP9dj3Idq5OoGkkLr2vQV/33XwubuUjfOFFNmDezdnsZ+xSpHyPRD0dBdSP39SWqUIedZ0bFgDFYysMLDNVmiFXECcz2rULm4JtypVs4iPiHBopXypWMhr8URopItIWRmUK40Um5JIsi6JdCI+iLQqgKdfK+f6woNqwdy5EXPTJo3Bvj07mBSWlXV9BPiJenxowbx4NcR8eMKGkLXqQuYNz6PDmzeR8PK8gLi4ODRxasaM20Xjzu2b6N7Jjf0oL08TReVSkHG8Ll9E/15dUNTYHo2ar4Cfzxq8jbihFPm6guSniD4kXUfvSVSdNmpof1a1JhokhUXyVrnFgX27MXn8KKlJkbzks/78+x+QTJcsoWijdVnm5m05AhyBLAQ4KcKfBI6AehDgpIjqceekiHyYq4UU2XngHPYd88TRrYuhr68n3wrU3JuTImreAD49R0BGBDgpIiNgGtg8KSkJvy2ey/T+P8bGMlmf2fMWo2KlKhqYLU9JgAAnRSQ/C+XsLdht6G597yA+/jUunuwJx1Klcc37EUrZFGMDDBr9HklJb3FwZzV22/z+k2DJAwMgeRiSpAkLfY1qNWph2IgfxPwqVOHbIVWiORpRJQpVpNDhqCCMihSB94OnBbp5/YUUsUfXvrfh57sWvnd/RZEiRZCYmCg2u6mZOT6KVMKQDNTRU5cKVOWs9TkFOtnyVToRWZUeVOWhy6o+QqFN3yckSIQow9RUpMLDHhkOjmIVH+TnkamvLzaOJKN1iZNmNwgMeIrFC2bjzq0bMDUzQ7sOnTFj9sKvyFiBUXbrzkfgWKYj/ttRBXEfg9G+YxeQzwMFySFRJUiTps2wbs0fwkqQoSN+wKePH+F96zqMTYqBvDc6dekubYpStfO+dQP9enZCSkqKsH1Ocodkl+pULYOYmOg8PU2kmkxJjSj3pvWqgsgdQRCmbm06QE9PF02dW4AIVf0cz4KS0lH6sJGREVg4dwarotPV1WXSefR3Py/zcoHEZM7EznnezNN0nvyESMLOx+c+rG1s0cO9D/NHIlwLGhYm+khMTkNyakZBh+D9OAIcgQIgwEmRAoDGu3AEFIAAJ0UUAKKMQ3BSREbAcjRXCymybscxrN12BHWqV4CFuclXK/jtl1HMb6QwBCdFCsMu8Rw5Al8Q4KRI4X8a/lr5G5b9ulBsIZWrVMOla3cL/+K+4RV8D6RIYkICAgOfoVSp0kzySpYgQ+ayduZMA79rX28kxIfh4kl3Rorcuu+Ptq2a4skjHxQxtkN6aiJSUmLg2qY9dv57SOI0dJhNt/wFRuXUwd7BEdfvPIaenh5Eb8Xr65sy7wwKGpvmUHe8evmCGa2TeXTZ8hXgMXgE+1yQIPmsRnUqI+rtG7HuZBB/985todF6x87dMWHKz7h+9TJevQxGlarVmZF3rh4uaWnQiYwAIzvCSNYqDNrMyDyL/GAESPQHiemm6uriZVoaQgH2EaGriy4Tp8G2iVMW8UHG5UZFJI6Ts4GiSBFpJ86rUuTpi6wDfPLDKFe+At69fYsWTet85RmSc57lq9ai/6Ch0k7PpNGueF5ATEwMGjZuitp16on1HTqwF86fPQUrm4YoZloewQH/goi2wFdRYvv74N4ddGnfUux1QwOpwtNEmsUSIbJ98wZWLUjkIR3qi8ZAj2H4/Y+/pRnqm2qTlJiIRnWrMJ8aQRCxMXv+EvwwbrLca6Xna+vmDfB77MveR/v098jT94eTInLDzQfgCBQIAU6KFAg23okjIDcCnBSRG0KZB+CkiMyQiXVQCymyfucxPPJ/kWfmK+eN4aSIfPvKe3MEOAJ5IMBJkcL/aPTs2pZpszdp8Sccy3bCoV01kZaWCN+nr2BpVaLwL/AbXYGAFHkZEoYlC2bD68olttIWLq6YNW8xSljbFOqVr1q+FH+u/I15QlB06NQVG7bsho4MMkX5yWfR7fYxIwbhbfZhfqnSZbBl5352WC8pBOa/JANUucYo3LoyCUmJb3HstCczwSa5lzkzv9bZr1GrDs5euiFp+EL3+5xG69179sXUvG6EZ2Z+ZVyuHZZV3SEkPd5FARn53wQn4/IM25KM3Eizt0c6+XaIeHjQzzMsLEDeBrdv3YC5uTlcWrUWq+bJDeg9O7eCfFdevgxG1arVmceMW9sOYk1VTYrQIT2RCXQ4LYiRYyZg/qLfxfLavWMLpk+bADtHN7Rstxte54YiNCRLPq6Z6z+IensHAU82w8m5Bf47Ki4rl9dDRxVR7l3aiM09dsJU9h4jCLfmDfHU/wk697qGEraNsGOdGfsb8tDvxVfvQyeOHVaqp0l+PkKSXlgJ8fGMhC1dpix6d+8A/yePUL3OFBib2OP21WkoUrQogkK+EAOSxlPH76ny0/PiObwOeYmq1WqguYurXJUZtAYivIj4Mi5WGo2cf8ejByvx7s0d9gzQsyBPEGnt3LAGq7gTBBEuntfv5VqtykkRedDmfTkCBUeAkyIFx4735AjIgwAnReRBr2B9OSlSMNyE/47LFL02KN9Y32VvXinyXW47X3QhRoCTIoV487JTF5IiLn8xaZZDu2ogLS3puyZF6Fb0H8uXshvDpUqVYbIpw0aO0ajNFpAiHoP6g0yCRaNL955Yv2mnwvNNT0/Hwf17GAFDXzdv0Yrd6iX5FUUG3Xxv1ijLk4D8EmKjnyEzMx1/rt2EXn0GSD2VpANSqiYJCnwGPV09lClXXurDw+lTx2P3zq1o1Gw5qteZhFOH3PAm/Cp27DnIDtAPHdiLiWOyzMOr1Z6IYmblGHGiq6uHkDdZVSOyBt2i3rtnB/weP0JSchKKFSuGOnUbYPCwUShpZ8+ki35fMh9nTh1DTHQ06jVoxA4t6WBUlaEdHZ1V4SGo6MgmO3SJ+IgIg3ZkBLRSU/NPSVsb6VYl8NnaBs9TUhCYnIQkqxIo18oNFVzbMgIknUg/OWR4cksgN4kgMrunyiKS/xGEgBS5fv0mqyawsLREK9c2eUoPKQJ/uqV/2fMCoj98YCbrderW/2pYASliZdMIzq3W4c71mQh/fR56+iYYOCoKUZG3cOpQKyZ3RLJH0sT40UNBPjTFrerAwqomgvx3sNf7s5dvhTJf0laKSDOfvG3IzJ1M3UWj38AhWPHnunyHpmrJv/9czt7XKIyMiiApKRHuA32ZX87ODVSplomXEbEaK6EVE/0BRFCJSoA1a9GK+fbkF0QQ+zy4hxI2NkxGy8zMXKz5gf17MHncSJQu152ZrN+7ORe+937DhMk/YcbsBXJt2e2b1xnpRl5DjVuswtNHGxAZdgUTp07H9F/mfTU2J0Xkgpt35ggUGAFOihQYOt6RIyAXApwUkQu+AnXmpEiBYBN2UkulSG4pp6Wn455vAE5euIWZEwagaBEunyXf1vLeHAGOQG4IcFKk8D8XXD5LfA+jP7xHg9qVkJyUJPaLfw8cZ3I/mhICUqSMoy3oMKyj+yUmS3P6sBs7nH0c8OXmraJypoNDel5EY9TYiZi3UPxn8s5HJM+YkR5wKN0ebbocw8M7S/Dg9gLkdjte3rkK0n/n9s2Y+eNEaGvrwtS8EmI++LFh7voGMoKCpHeqV7Bn+9Gt312YmlfE7o0lkJ6eguCwaBgayvZvMjINb+lUl0mB5QzyQSHZrl3bN2PB3Bliv6Yb7+SfkqtEVQEWrpWUyOSsdMJCkRIUgJt7dyH1eRBs01JR3tAQJdPSoJ3jdZPbNBnm5uI+HlThwYzM7ZBGhEdJe0BXVyhxJjrGwWPnmJG3ImPt6pU4sG8Pk/UijEs6uKJV+z04f7wrot54Y8PmXejczV04JZEiU6ZMwsb1a4U/K1rUGMfOeEpVaaTI3EXHWv/3n1g8/5dchzcpVgbJye+R+jkOfQcMxsq/1rN2kqSLqEKFiJ923c7AztEVe7eWQWJ8OK7d9hVKrknjKaKsNecct5xDcfbeLSqZR5JM3g+fsaYCcpFMx6kqjEjF+Pg4tHTKkgQzL14dsdH+yMzMqlTSNzCDnp4xk9+j9hev3lHVUmSeZ+Pav7Bw3kwUNXFEqTKdEOi/nVXsnLpw7SvJM8Hgk8aNZES3IExNzXDW8yaTGRTEs6d+cG3W4Ct8qHKvc9ceMucp2oG8zIZ79AFV3bXvfhaP7q/E3Rsz2b4sXfbnV2PLS4qQfN/RwwfYc1+3XgMMHj76KxJIrgXxzhyBbxQBTop8oxvLl6XxCHBSRPVbxEkR+TBXOykS+CIMpy/dxqFTXoiOjWOruX1yHUyMZddMlg+KgvXmlSIFw4334gioCwFOisiHPB3Q3Lp5HSYmJmjRqjUzelZ1cKN1ccQFUiF0M7pdt9O4e+MXBPpvw5jxU5iGuqaEgBQpW6okiMghUiQjIxVnjrRTGini1KA6yI+idoNfoKtXBPduzoa1tQ0e+OUt4VkQvLwuX0T/Xl1Q1NgejZqvgJ/PGryNuAHyqSCjXnmDDvn+3bWNraVS5arMoNrBsZTUw9LB+YjBfXHxfJYEEfmITJ81nz0jghjUtzuTsck6VDVBQnwoypWviKu3faSeR9Bw9aplrAqkhG0TVK89Ed7XpyMh7jUMjKyQkvQOO/cexvYtG9l8DZ1/Q9mKfXB4R003XQAAIABJREFUT218TvmI2w+eSrU2qt7IkrAKz6ryoKqO0NdfJK3o+4+Sq1wyixozciPdzoERHBmM7MgiOthne3tkGhpJxICIIJLVoQNpZ7d/8CLwP4QEH2WVSX+s3iCxv6AB3fwnDxgDA0OUKVvuq2qgE0cP4YcRg8TG09bWh7Prety5PgPJSe/QrUcv/LZyDUxMirF2WmmJKGljyb6uVG043r29g+j3j5lPB/l1qCPofbx6RXtGCBQzq8AO8dPTklC7bn32nMfGRGflW7kqe16IKJBGuki0UqS4VS120E6VIgGvosTIPapO8PK8gLi4OEZaVaueVemlyiASsjyRIsnJ6NLnFpISInHhZA+2ViJFciMX6W/ujzPn4MdJY+FYpjNadz6E+7cXwOfOEpiameFjbCxbAklJrt+8k1VnEQHJjOuNTdC6XUeFG9cXFLNZ06ew94EGTktRs96POH+8G0Jfnf6K1BOMHxEehga1KjJyt2K1YYgMu4qPMc8weuwkzF34q1ga9P5D5KGgkqZrj15Yu3G71NV1ea2JZLPIk4iCqgI/xgQgIyONvY5y872RhxQhmVCqjBUNWaqmCrovvB9H4FtAgJMi38Iu8jUURgQ4KaL6XeOkiHyYq4UUefchFue97uLgSS8QKUJBBxc9O7kw+QkjQ335VqXC3pwUUSHYfCqOgAIQ4KRIwUHMWaFBMi17D55EoyZOBR/0O+xJB2F02JWSksw0yGXxnMgNri+kSG12O5purdJBoKaSIrnJZ9GB1bp/dij8aahWwZ4drvYZGgxdXSPs2VQS+voGeBkRo7C5SNff78kjjB42AFFRb4Xj0r563fJhB9vyBB3CNW9ci8lNCaK4pRVu3H0sPPSmn9NzdeO6FzNjt7NzQEu3NuwQVDRI0ig09DUqVarCjKVFI/h5IAYP6ImXwc/Zj+lQde3GbXBu3lLm9BfPn4X1f69CnYazUbfxXFw44Y7XL08wSaMP7x7i743bcPjAvmxS5HeUrdgbh3bXZFUBjBSxs8/dxyMiDLphWV4e2mSinJmZb26Z+vpItyXCwx5nHj2Ef3w8itYYiXiLavjPazKiDAxwP1wxz4LPw/vo2LoZzCyqMAmj58/+hdf5IWjbvhO27vpPKgxp/8aOHIz35FECMIm0rTv3i3kV/Dx1PMhHpHrtSajVYDpO/Nccnz5m7Zlo1K3fECfOXmE/Cnv5DI0a1IWJaTn0HvwUIS9O4OJJd7a3+w+fEutHzxu9ZipVqcbIM2UFeXqQdBL5PvQZEoiXQQfheaY/81HZ8e8hBDzzZ8+3aAXAnds30b2TG4yKWKOJy194+mgjIsMuY9zEafhl7iKWKnmKUJuU5GRh6oqQTcoNh3t3bjPyj+YkuTL3Xn0x+ceZMkGWn3xWXuTitJ9nYeWyJTA2KYVGzZbh8YNViHpzGzNnL0SHzt3E/raMHj4QJ48dFsvp95VrMHBwllyeOkPWShGBdJVlibro2ve28DXWvmMXbN6x76uliHqumJtbKGypRLYs/3WhsBLOrU17Nn9urxd5SJHJ40fhwL7dKFWuG3uPvHZxJNJSE1ilnbx/VxQGBh+II6ChCHBSREM3hqf1zSPASRHVbzEnReTDXGWkSMrnVFy69gDHz1/HNe/HLOu6NSqilVMdrNiwH/+um4NaVeU7OJAPioL15qRIwXDjvTgC6kKAkyIFQ55uW1YsXYLd6i1XqT87hCPjUlkO/Ao287fVi26AD/PoI3bwTLd5mzo1L/BC6aC7YZ3KX8lnkS476bNrSogarS+cOxNXvTyZTBJJfM2et1iiobS066Bb5omJCeyGOVVvkPyIgWFx6OjoIzEhknlXHD9zWdrh8m2XU9e/QsXKrMqBTND7DRiMajVqyT3PP+tWM5kpS+v67Db13RuzEPcxGJu272Vm7oIY3N9dWAlCPyPi5KKXt0wG9kSsEH7JyUlyEXbk6UA39rW0dFDMtBw+xgaK4XDrjCceHTuCMxvWwBGAQ/ZHeQMD1La0gs6bSCDbKyFPAHV0kG5jKyJrZceqPNJEzMszilsKfTwEVUNuHQ+ww+Sj+xqyCgLyXFCEXBdJGtWo6IDPnz8zYiTu4wsmPyZLtVAr5/qMDKCKo9TUeHxOif3qPVZIitSZjFr1f8aJAy3wKTaIwVSmQk+UKtsVVy8MY1VYd3wCYGfvIFWlSGRkBDz69WBm3RQkS7Rs1VqlVRWQf06DmhWgra2H5q234PWLE3gRdADdevTG2n+257rt5L1BJIKNXXN0dL+Ixw/+YNUxAz2G4fc//hb2Iakh8lmKiYlB4yZOqFm7rtyvw5wDUKVLw9qVWNWbaBDh1929j9Tz5ecjlBe5+MfqjViycDbovV8QdCBPh+VUZSIIIlKpEoW8iMi4/t3bu3j2ZBOrjCFZN3UHyfa5OteX2lNEtFKkUrURiAi7zCo1cqsUUfbakhITERDwFA4Ojuy9Nq+QhxQReN+0aLMd5Sv3x8FdNdh685MXU/a6+fgcgcKCACdFCstO8Ty/NQQ4KaL6HeWkiHyYq4wUefA4CIMmLIG1lTkGurdGO5eGrJT/Y1wCmnYex0kR+faR9+YIcASkRICTIlIClaMZSY3Uq14OurpFMHhsLKIivXHiQDOlaZYTCUOHWnRAWLZcBbRya6uxZrGyIDpsUG+cO3NS4brvhcloPSE5TRbIpG5LZud0iPQ8KID1IZ+SqT/OxIZ1f4Fuv1PYlrTDxq17UK9+Q6nHzashEVy56fpTxQtVvigqlv+2CH+u+JURIiQzQ7fp6VY9eSyQ1wKF4Na9jq4hKlYZgrDX59mh/M8z52LSNHHfDmnzCn0dgh1b/8l+DZZnN8uJ9JEU2p8+AaEhWDN1PN7fvytGehD5UVpXF7ppkp8BIjSyfDuypayyPTzY90R8kHSfjo6kdIS/nzFtAnbt2CLWnt5Xdu07IvUYkhqSxNncWT+BDkwpqIqOqh4EMlb59ScypaydOSt+8RgTjfhPIUxSrIS1NQ4dvyCU0spNPktXTw9pqalo1f5fRozs21aeyZWdv3yLEXPSeIoIpIx09YrCqIgNI97MzC3w6FmI3NVsea27czsXPLgn7nkxYNBQdHPvzWQaH/k8gK1tSfTo1Q8NGzdFeFgoIyIoRKWLSCpskIorH+7fu4Mu7VxA3iede19nBM3jBytllkvL75kQJRfNLCoLvYBI0o6M1Ul6il775MUzwGMYKlepJjYckSY1K5cC7emg0e9ZNcmpgy1RtVoNXPDylvQ4q+T3RC6RjN7rkJcsr+YurvlKXOX0FCGT9fNXbjPyTxNDHlKEqoH+WLYEOjoGMDEti9jop+zfQY8DQ7+qAtTEtfOcOALqRICTIupEn8/9PSPASRHV7z4nReTDXGWkyOOnL9B3zEKWbbd2zujk1gQN6lRGQmIyJ0XyV3+Qb4d5b44AR0AMAU6KFOyBEK0UKV95AD7GBimtUoTm6timOR77PhQmSzIyl67eBUl2FeagAz062OsxwAfGJo7YuaE4tLSAF+Ex3wTpk9/eCCpFlEWKjBs1BEcP/wc9/WKMdKJDYZLeuXnPDy+Cg5i2fPkKlRRSFUDrPHRgLyaOGf6Vrv/YCVMxa95ihT2mp08ew8gh/aClpQ0zi6qI+fCEjU2HmnSISCGQUBOY//r7rsMtr8kFPqCNi/uExnWqMAN2QdBr79YtH9h9/iz08GAyVmGh0CVPj2x/D62EeIlrzzA1FTcud3AUq/ggPw+SvlJkxMREY9G8X5iPxOfUVDg3d8Gc+UuZ0bwig27nBzz1g5W1DTvQlyXKO1oyQqVx85V4E3ETr54fEnsPFEhpCYzWw8NDUbNWHdjbO+Lgf/8yibiixg6sMsfQyAhPAkKZTBqRIsmp6bh+/SYzIbewtEQr1zaMOBRE1w6tQHJQbbuehJ1ja/y7mfw+3uHWfX8xCStZ1iOpLT1ndLBPXjcP7t1FRkZ6nl2On73CyMx1a/7AsqULpJIukjS/PL8XkiKmZdG51zU8ebgKj+6vKPBrLrdc6D3rh+EDQe8BFFTZNGnqdEz9eZbUqdevUR5UBUQyZSnJH5hEXe9+g7BqzUaxMchAnD4+xsYwMs9jyEgUKVpU6nlU2ZC8Nnx97jPJMiI2qapJU0MeUoReH1S9RbJxFPRaXrR0BfoNHKKpy+V5cQQ0BgFOimjMVvBEvjMEOCmi+g3npIh8mKuMFKE0wyLf4YynN/MSoa8tzEzg6lwPB05e4ZUi8u0j780R4AhIiQAnRaQEKpdmuXmK7Dt0it3gVWTQARlJAekbmDPJiJdBh5CU+AZ//v0PevUdqMipVD5Wa5fGTJ6mep0pMDaxx+2r09jBU1DIFxmU3JJ6HfIKV69cQlpaGjvMpcP9whbKJkVaNKnDqkS69LkJC8ua2LWhOJMvevbyjVQ39WXF89KFs+zA6itd/zkLMX7Sj7IOl2d7krQaN3oIjh0+wNqQVwkRLzNmLxD2EVaK6BiiUrVhCH11BnGfXspWKZKeDp2IcGZY/ujoYZzftA7lDExRzaw8TD48hW1aIr4coee9PDIlp2qOx7Ex8P3wHtpluwJl2uGY91I8iw/FHycvoEbjgvkQkddGeHgYk/YyMpJsfq6wTVDRQAJpLNHp8pPSErSLif6AQX274+GDe+xHRYsaY8myVejVZwD7XkCKJKXkTTp49HfHpfNnUKHKIBC5dvXCcGRmZsA/OELph84CmSArm4YoZloewQH/srwbOP2KiNArCH99DsNGjsGiX1eyn0srXaTMbaMKBzLcFpWwovlklc+SJkfa35CQV6hYsbLMRMXFc6cxafwoMeN6ql4imT9BEKE2aewIsVTIJ4Pa8ZAPAXlIEcHMJLH2Puot8/kp7BdD5EOT9+YISI8AJ0Wkx4q35AgoEgFOiigSTenG4qSIdDjl1UqlpIggCfoP/pNnL3Hq0m0cOnUViUnJsLe1Qvf2zdDWpQHKONrKtyoV9uaeIioEm0/FEVAAApwUkQ9Ev8e+TNbExMSEGeLSTU1Fx7bNGzB7xlRUqDoYzd024c71mUyWhG7HksFsYQ664b104RyxJZDsC8m/5BVnTh1nJt50a1gQmmKUK8teKJsU6dK+JbsFX6XmGFhY1sANz7HM+DY4LFop8j90MNuobhWJuv55YUQeFHRLnnI2tyiODh27wK1thzwhpUoH8vugg9GixsZftRMcagt+QUbpntfuZundZ2ZC511UVoUHfUSEQTs0y7Ccvmaf374BMjLy3dIMbW1kliTj8mxZKzvRr+2Z3FWGRXE2hiJNgqn6YrhHH1y+dJ6NTQeDM2YvxKgxE2R5BDW+LUlokYk6+eDQrX1AS0xKiySCyCckryDPBTqkp8NTktkRRE5ShN5LSP7NwMBQKMslkGoSHdu1dTvs3Ctu0q0MEMlwnYg9qrjQNyiGQ7trA8gqo9bTM0Fqahx69u6Pv9ZtznP6k8eP4MLZU6DXVaMmzhg0ZITSiTNFGK3Limdu5uH0/6qXwc+RmpbKJO5yeuQQmU5SlMbGJszvKGcQoUYSVvQ319auBfOkoQh49ZbLNMm6QTnaK4IUkTMF3p0j8F0iwEmR73Lb+aI1AAFOiqh+EzgpIh/maiFFRFNOTU1j0hbHzt3AuStZusI3T6yFqYlmlmznhJuTIvI9gLw3R0DVCHBSRNWIyz5fnpUiazcJbz7LPqpm9KDDKzp89LxwDikpyWjq3IJpwYseYObMtFOb5uwGuK29C/T1TRHy4hgz0/V++EzYlA7Kli6aw2SU6GuSP5mz4FeULVdeMxZOxs1F9ZCWngllyWcJyDTRBbv36ofV68V9JPIDJKcs0U8z5qJxU+c8u9AhtCRd/7w69+zaFiQDIxrkd9KpS3eZ90w7Ohra4aEIOH8GHx/5wC4zE+X1DWDwJjKLAImMgFZqav7jamsj3aoEq/KILmqMvdeuIBRAtIkjAuLD8DozA7/uPgC3dh2lyo/WRmsUjeo1a+OcZ5YUjCyx5Z91mPvLj8yU29SsAmKi/dnB771HQVITsyTHR4SumZkZI3RLWNtInQKRCFSFpKenLyQRpO5cwIaiUlrxcaF48vBPVK1eExeu3JZ5RJ2MZDzxfwo7x7J4/MgHY0cOBlXdUJA0oUCWi4gY8jyKjYlm7yF9+w/G8aMHcePaFbb2Vq3bMiN0RRjTiy5CtFIkMT4CCfFhYr5L1Hbeot/zJMHIK4Y8Y0Sjczd3bNi8S2asNLnD70vmg96jBAQ5eRdR1dioof0R8uolS93a2gYbtuyWqYKzc9sWeHD/Ltp1O8OqhPZsskVKcjTu+gYqXF5OHnypYobe5319HsDGxpZ5zdBzqsnBSRFN3h2e27eMACdFvuXd5WvTZAQ4KaL63eGkiHyYq50UEU2fTNc9rz9A+1aNYGigWC1p+WDKuzcnRZSFLB+XI6AcBDgpohxcFTkqHfjQIQ0dfAiCjGQvXbsHQ0NDmaai2/yBgc9gZ2cPujlfGIOMcun2d+8hgShStCS2r82qEgh/n2XmTPHb4nlY8+dyseXVrdcAJ855acySlU2KEOFEJtREqiUmJqCJU3NGOEn7zNBNc6rIEQ3Sqr/jGyDTbWmq5ti5bRM7RC9bvgI8Bo9gn0UjMiIc9WvSz7RQvfZEJCa+wYvA/WjfsQs279gn1lYrKRE6YWHQCQvNquqgz6IVHuHh0EpMkLjPGebm4j4eVO2RbV6elm1mDl1d4TgL587Epg1rkJFdPSLppn5uCVDFw9HDB/Au6i3oeRw8fDRevgjGXe9bMLewYL4WrJJFQkyZMBr/7d2Fxi1WoVqtcThxoAWiIm/h3wPH0aKlm6TuWPH7YqxavlTYzsDQEAeOnEG9Bo0k9r154yrGjxqCt1RJk00ibN6+9ytTa4kDydggNymtnn3646+1eVdL5DbFLz9PZs8jvT4o6Jn++DEW0shy5WZOP1PB8nCUk/etG+jXsxOoIkgQ3fs/QDGzctixjvwiMvE0OBLFTE1zRVFAMFauMQpWJerj2qVRjLihKrH8CGcZt0StzZ899YNrswYsB/Pi1REb7c/kzchXyN/vMQwMzKGja4TEhAjmM3Pm0g2p85350yT2jJAhu1ERa8R9fMH8ZnyfvlI4ASZ1Ujka0vPbyrk+q3ASDYHXTEHHVXY/ToooG2E+PkcgdwQ4KcKfDI6AehDgpIjqceekiHyYaxQpIt9S1NObkyLqwZ3PyhEoKAKcFCkocqrtR8TIFc8LTPKjbLkKzExV1sOt9X+vwvJfFwoP2mgMOnAubJrc0lSKdGzdDD4P76OZ6z+wsXPGod21kJGRqlHyJ8omReR9QgUHwNVqT0DtBjNx8mBLfIwJwMFj59DEqZlUw5MxORmUk0GuIMgc1/vBU+Hhf2pqKlo61WXkgB4ARwAVipSAVWIUnEuVwQCXVuIyVx8/Spw7s6gx0rOlrIjgyGBkh/0XEsTeHuT1IWuQFFFQYACrjjAzM5e1+1ft58+Zjk3rv0jFETbHTl1CtRq18h1b0I8MwMkz5eaVCUhOeo+T56+iTt36+fYlvCuWsgJJU5FfRswHf7yPus8qcqgyR1IIpJ2KGNshPTURKSkxaN22A7bvOSipq1y/p5v7RA6LBsnBXfN+JOYHkd8kJO9EBuoUdJAe88FPKEvlMSYG8Z9CcHhPbeQly1WhlBUSExLQqNlyJCZE4vGDP1ClanVcvJpV2a3IePMmEl6eF7D810WIjAxH9dqTYFysFG5fncpM44NDP+Q5XesWjRgx0KnXVVhZN8CujZZIS03A44DXYmbyisxXdCzyFyH5qdchLxlJ0dzFFVpaWgqd7sC+3UySrnS57nDtuB/3bs6F773fmPk2kf+9PJ7CwKg4dm8sweQCQ958kjoH8qwgHy/yu6Ig4mzFX+vRoVNXha5BnsFof2mfifxxarUWQU93I/TVaQwZPhpLfl8lz9BK7futkSL0b7Ib17zYZQMipOm9gwdHQBMR4KSIJu4Kz+l7QICTIqrfZU6KyIc5J0Xkww+cFJETQN6dI6BiBDgpomLA1TQdyRqRCS7dcjezqIJPsc8ZSbB02Z8YPGyUmrIq2LS5eYos++NvVgUhCCEp4rYJNnbNcGhXDU6KyAj3jB8nYtf2zZCHFDl0YC8mjhnOnrn6jebhjfcCmEQ/xQyPYXApXwHaYWF4d+8OPjy4C0ctbVhlZkDS0Wmmvj7Sbcm7w15IfAhJj2ziI8OMbtNrdhBRVLlMlmQVERvvou4j+p0vevcbhFVrNuab/JNHPmjbqqlYGyJqvG75SPSLCQ8LRcPalaBvYI5Bo9/iTfg1nDrkKtVteiJUypQ0I0sWePzwAQnxoYxwLGlnz6SFlBnr1vyBJQtmo3T5HnButQ6XTvVBZLgXw4owkyYEknLlKw9EizZbcctrCvx917KujZuvRH6yXORDUcqmGKtmGvTDeyTGhyl97VQNMHHscBw+IF4t1X/QUCxflZV3biHwr9HTN4GBYXHEf3oF25J2TF5N2UGSTkScEakjiGYtWmHfoZMKnZqkEUlmzLhYaTRy/h2PHqzEuzd3GOkT/eE9atb7CQaGFrh7YyYjMP2eh8s8f+jrEHyMjWGeNETAaVJQxVavru1gWaIuuva9jWdPtuCG5xh0d+/DzO01Nb4lUmTrpvWYM3OaEGpdXV1s232AXVrhwRHQNAQ4KaJpO8Lz+V4Q4KSI6neakyLyYc5JEfnw46SInPjx7hwBVSPASRFVI66e+QS+JEQQdHS/hCcP/4L3tZ8YkUCEQmGL1yGvcPXKJdBBZbMWLVGufEWxJXD5LPl3NDf5LDNzC3g/fJqrfJZ29IcvUlbMwDwUIVevIMb3IcrqFYVNegq0M9LyTSxTSxtRukZ4mZqAd4ZGaNynPwwqVRaTuSKfDyj41rn8aMk+gkD+x6RYGfQeEoDgwP24cnYQ8z44cvKixAGpcoJuy4eHhzFCY+jw0VJJb8lbKfKlWmIFEuLD8eThKqVVS4iCICBFrEs2Q0Z6Ct5H3WNySV269cT6zTsl4kUNBObppuaVUb/JAjy8u5QRUTlj9vwlGDN+ylc/F1TJiEpttWnXkR2ECoLwDXjqB1Mzc6krWPJKfvPGtZg36yexX9euW589H/lVCtL745ABPVllIQW9bv9auwlubdpLhZM8jTau/QsL581EURNHlCrTCYH+25GWlohTF66hdp168gwt1peqQRrVrcKkFAVBxAVVSmzaIP43bfiosVi4dIXC5taEgYh8ql21DPsbyC46fAxGRvpnzFmwFD+Mm6wJKeaaw7dEigikPMuUd0dSUhQjmJs6NceBY2c1Fn+e2PeLACdFvt+95ytXLwKcFFE9/pwUkQ9zTorIhx8nReTEj3fnCKgaAU6KqBpx9cwnkI0xNCqBpi1X49njfxAR6skO/ugA8FsLbrSumB0VGK1/DHsNt4qVMa6rO6qZmkI79HWWnwcjP8KhExEOrZRkiZPS8eVrMj9u0BjmteowD4+7kRGYt/FvvDW0gFHFvggM3I+U5A9MyqkgJuuCJIh0uHn9qsbKmohWihiblEJ8XAhLnWSGpv70C6b+PEsingVtII+nSG6+Gr/MXYRxE7/cmC5oXvn183vsizYtm+TaZPf+o2jp2kbitLnKuRkVweRpM+Drcx8GBobMPJ1u2+cm90S388eM8BAzZf9x+mzmAULklJGhEbwuXxTKxZER/I5/D6FkSTuJueXWQGD4XbXWOJhbVMWNy+MYGXLW8yb0dPWYKXx+slRkNk6Sb5UqVwXdYldFzJo+Bdu3bEQDp6WoWe9HnD/ejck6kck7mb0rMqgCkuZ66v8E5LNFJH/FSlVAFWpXLl1AWloqnJq3RL8BgzWu0kMRONDaF82bieTkrPdep2Yu2LHnIJMQ09T4VkgRIuXKO1qyyrFhE5IQG/2MSe/ZOzjC++EzTYWf5/UdI8BJke948/nS1YoAJ0VUDz8nReTDnJMi8uHHSRE58ePdOQKqRoCTIqpGXD3z0e1l54Y1EBZKR9JZQYdpntfvsUMkHqpHQNGeIrS3dCBL5szOzV2k3letzynZFR7hQsNybTIvzzYy1w0Pg1ZcnESAMk1MIDAoJ7KDSVqVtMc/p45hy9lTeJWZic8A+g0cghV/rhOOR94WpI1PRuyCIJ+G0xevy+ybI+j/z7rVWDB3hnA8OhAeOHg4KletjuYtWqFU6TIS16OKBqKeIlpaOjCzqJztcwFcu+37lSG9InN67PsQt25eh5mZGVxatUYJ6ywpr/yCDl/9njwCGcaThFd+JAL5IJEJtKGhETuwpq/l1d6fP/tnVgVgYVkT7bufw72bsxHgtwWjx07C3IW/Skqf/f7Vyxf4b89W+D/1R+myFeAxeIRMOAvWRWtPSIhHuxwyZjSHcbEySE6KYj4eHkNH4tflf0mVW85GzRrVwovgIHTrewfmxathx3ozJgMoCHqOt+zczyp1NCXyqxQJfh6If9avAX2uUKESxk6YqnCiRFNwUFUe9JoMfOYPaxtb9qHpIS0pQtVORByrktCTFTteKSIrYry9OhHgpIg60edzf88IcFJE9bvPSRH5MFcLKTJj6T+wtDBF784ucLSzlm8Fau7NPUXUvAF8eo6AjAhwUkRGwApx83dRb7F18wbQjWu6zdinvwdq1a6r8SuiG5m/LZkH8hKJj4tj8kKz5i1GhYqVNT73/BJUBClCB2LLli5gN6Pfv4sSm475xQwezqo4WFVHWBiI4NAOD/1iXE7fR+dt2CwYkEzJv3h4ZBmWE+mRlk18pJNxeVHjPJdLh1vBz4NQtlx5FCtm+lU7Iu0uXzovPCx1cW0j1832ahXsERsTjTIVeuJDlA8+fXwuNqdVCWtGzkz7eZZc8yjiARw3eiiOHtqPOo3moG6jOTh/ojtCX57C2o3b0c29tyKmUMgYO7dtYkRTclISG49IlJV/rc9VP5/IuYljRwifSUurEmLG7gSHAAAgAElEQVTPZ37a+/Qs53VwfunCWXj06wELq1po3+0s7t2ag4Anm2UiRSh3c2N9JKemIyklXS5sFs+fhfV/r4KdoxsqVRuOm1cmMTKEDM7TUuNx9mgH1GvQCMfPXC7QPGNGeuD4kYPQ0y8GfQMzJMRlkdqiJveubdpj57+HCjS+MjpRNY6rc/2vPEVI1qmNS2OxKbW1teF186FMpJQycuZjqg4BSaQIkfv0GheVfiPfIJKp07TgniKatiM8n/wQ4KQIfz44AupBgJMiqsedkyLyYa4WUmTv0Uv4Y+MBJCYlw6VpbfTv7oYm9apBW1uS3ah8i82vd0ZGJqI+xDCyRldH56umcfGJSEtPh7mpidjvOCmivD3hI3MElIEAJ0WUgSofU5EIrFy2BH8sE5f4qlqtBi54eStyGpWPJTcpkpmJHUsX4MiqZXAA2IcjgFLaurDLSENpHR3YkCN2Rkb+a9PVRbqNLdLtHMTMy7NIEHsmcZVhUVw4xqdPH/Ei+DnKla8AExMyntasEMhSaWvrYci4OOzfVh4J8WHQ0TFEerq4xNevK1bDY8gItS7gr5W/YdmvC2Ft2xTV6kyE99WfmIG5qCQU+QbQISHh7ViqtMrzpYPu2lVKg8irnHH87BXUq99Q7MfOjWriZfBzFDV2QGpqHD6nxLLfi2rvN2najFVRkN9RYmICmjg1R936DdCpTQuxsUQPzslHoX6tikJiRtBQWvksQXtFkSI/Th6Lvbu3o1GzFaheZyIzrCdfgRp1pyA56QOCnu5kpNGufUcKtGcvngdh6KDeYlVUNNCgHz4gKSESB3dVh42NLe4/CS7Q+MrqlJSUBM+L5/A65CXovbq5iys2rV/DSDXHsl3Q3O0fXD47EOGvL+L3lWtYFReP7wMBSaSI4DWlp28CQ0NLxH16yQjYh34vNBIgel+WtwJOIxfGk/rmEOCkyDe3pXxBhQQBToqofqM4KSIf5mohRSjlpOTPOO91F7sOnsfToBCUsreGR6+26OTWBMZFjeRbVR69P39OxfBpy5GUnIKDmxYIW3nd8sWPC9czkoZi3rQhrIqFgn42ffFGeN54yL6vWbUc1iyeyMgTCk6KKGWr+KAcAaUhwEkRpUHLB1YQAt06uuKu9y04tVzLbmTTQSBJyDwJDIW5yGG96HR0aH/NyxNa2tpMLonkezQtJJEi2tHRIr4dXyo8dMPC2M+1IyOglcshtdg6tbVBxuRCgsOOZK2yyY6S2Z9LWAPa2lLBIziwosYkv0aH2lSRomkhqBQpW6EXXgR9McE2KmKDrn1vI9B/Gx7cXsA8S8i7RJ3x8kUwWjSpDZJlEgQddN+87w8DAwNcOHcak8ePYpUvFCQnQz4VDo6lVJY2vf7odUhBFQvOrdYh6NkeVtGSUx4qMSEBZMauraOPQaPf42P0Mxzdl0WaDJuQLNTeNzMzB5EtolGjZm08fuST78E5SXeRJ8qTx75wcCiFvv09MHrcJJmwUBQpsmPrP/jl58kgAs7UrAJiorOMzUVjzYat6NGzr0z55WxMkl9EHHXv6MY8Qho2W4bkxCg8ur+CPQ8kg6jpIZC0cyzTGc1bb4LnmQGICL3ESRFN3zgF5yeJFGnn6gSS9uvQ4yKsSzph90YrpKbG48GT4EIhD6ZguPhwHAGFIcBJEYVByQfiCMiEACdFZIJLIY05KSIfjGojRUTTfuQfjGXr9uHhkyD2YyJHiJQo46g4rdjMzEzM/n0Ljp69jioVSglJESJnmnefiPHDumNADzdcuemDSXPW4Nze5bC3tcLmf0/hwIkr2LVmFowM9TFmxiqW16Kfh7FcOSki3wPIe3MEVI0AJ0VUjXjhnE+dJEP3Tm64c/umkBQ5tKcW0tOS8yRFDuzfgynjR4H+zlHQTfO/N2xD1x69NAZ8reQkmL2PREbIa6S+Csn29MgiOwTm5VqJCRLz/aSrh5dpqYi3qIrEEnXgFXQAr9I/IxRAslUJHHn8HFCQwTKRTH3dOzFjWfI3iPnwhOV36Ph5NG7qLDFXVTbI6SkimJtIke797+Hp44146L1II0gRyo0k7fbu2QHS0aeb9UNG/MAqACjqViuLt2/fwLhYaWZAn/o5jknf/bF6g8ogJT+Qlk712HzFreqgWz9vBPhtxfVLP6BL955Yv2mnWC5l7cyZtw0RmUQU+PuuZb8XrRShqheq6qlScwwsildnJuLaOjrISE+Hsg/OFUWK0BqHe/Rh0m8U+gYGaOHiyghDUzNztOvQmX0oKoiAISJGNKbPmo+JU35W1BRKG8ff7zHzDsoZg4eNwsKlK9QuY6e0hfOBxRCQRIr06dGReRaRHF0J28a4dnEkez0FvX4PIyPlXBLkW8QR+B4Q4KTI97DLfI2aiAAnRVS/K5wUkQ9ztZIi6ekZuP3AH/uOXhJWYrR1aYhr3o9YhUb7Vo2wYu4Y+VaY3XvTnpM4fek2OrVuijOe3kJShKpExs5chYfnN0FfX4+17jBwOiNIBvRojZ4j56GtSwOMHEAHI8C5K3cwdf46PLm8jf2jlZMiCtkePghHQGUIcFJEZVAX2onUTTLkKp9VvSYuXLmdK6YtmtRhcjMOZToiIz2FSbSoUm6Lqje0I8OZf4dOeDgjPMR8PKjKI0b8hnxuC8ksUhTpdnZZVR6Cqg6hh4cD0h0csGbjWvy6aG6uODBPkWGjFPbckXcCeShUrjEaTi3X4NrFUQj03475i5dh5A/jFTZPbtI79O8LWePZUz8ma0K3jukZzi1+W7kGg3KR7iFC7cTRQ2LSTgM8hsHQ0FDWNORqTz5AtauWga5eUQwa/Q5Rkbdx6lArVK9ZG+c8b8o1tiydCQ96XZFBNoWZRRV8ig1GRsZn5u9DhtmiQZUtB/btznMK8hQhSZyI8DB06XMTxS1rYedGS6SnZfmViAaRmvTvYEVWeymKFBHkSX4+4eFhqFipilIPbkm+jMizG1cvQ1dXDy6ureHeqx8jfgtD/LdvF36aMh5pOSrcNEHGrjDg9y3kKIkU2bdnB6ZNEv+/bodOXbFp+95vYfl8DRwBtSHASRG1Qc8n/s4R4KSI6h8ATorIh7laSJHYj/E4dv4G/j18EWGR71hFhkevNoywMDUpiuSUz4y4OO91D+t/myLfCgE2zqJVO3Bg0wJcveWL/05cEZIi9PX2/WdwevfvwnkmzPoLpR1sMe2H3mjQ/gcsnj6cESMU/oGv0GvUfNw8sZbl+jZGXK9b2mStzAxBFipRscnIvtwrbVfejiPAEZADAWNDXdLBQXzS11rxcgzLu2oqAnS2nFVAIXU0a1wbQYFfkwye1+5IPYY8DRMTE7Fo/ixcOHsKcXFxrCphzvwlKF+hYq7DOlgXY94HHmNi2K36vVscYWxiguch4kbkBcopIwM6byKhzQiPrA9tRnqQkXmWgbn2+3eQ9IcsU18fsLNDhp0DPpfM+kzG5QKZqww7e2SYmUlMkYzWlyycg7OnTyA6+gMcHUujddv27KC0UuUqEvvL0mDPrm2YNmksLCxroE7D2bh/ez5io59i9brN6N13gCxD5dk27tMnuDjVYwfMgmjS1BlHTl6Qa/znQYHM++Hc2dOICA9lB/Ld3Xvjx+mzoZOLbxoZ6P4yXfyg371XX6zduE2uPGTtTPtbxs6CVT01c9uEqDfezFjcqVkLHDp2Vtbh5GpPz9eEMSNYVURGtk8N5bFr72EUKVJEbGzKe/eOLbh54xojCcgkmZ5Hpr1vZIQWLd2wZMFsHDn0n5iJeKnSZfDTjDnYuG41nj8PRMWKlTFu4lR06eYuV+45O5N0XUpaBpLlNFpXaFLCwQrwJq2cRBQ+KhGVLk71kVPGrnPXHti0Tb0ydgpfLB8wVwTMjPWQlJKOlNS8va5OHDvMZAPZ3/smTkyij1eJ8AeKIyAfAhbF9BGXmIbUNAk+c/JNw3tzBDgCORCwLGaA2ITPSEuX8T/gHMkCI2BtrtpLbAVOVEM7qoUUIdKBPDpUYbL++NlLDJvyO7aumo4alcvgv+OXxUgRksc6e/mOmMcI+YsYFzHCvGmDUb3lUKz7dQpaNKnFtjD4VTi6DJmFi/tXwta6ONIzCvZi18k2lS9ofw19nnhaHAGNR0BwAZuTkRq/VQpJMC09A7o6st0qNjI0+IpkMDExQUzsR4XkpOhBqlerimfPnolVitSsWRMPHvpInur9e2iFvgZCw6AVGorM0Nfsc9b3r4GICCAtLf9x6Na2rS0y7R0AB3tkOjhAy7EU+8y+p59bW0NbW4vxU4Xltffu3TuUK1sGRFIJolixYgh+8RLm5uaSsZWixerVf2HqlCnMoLtU2c7MqJr05L2uXoOTk5MUIyimSTNnJ9y6dUtM2klPTw/xCYm5kiiKmTX3UXr37oXDhw6J/fKfTZswbNgXc2oiKeiZJ4KnYsWKrHJXWUGEh5+fH2xtbVGyZMkCTxMUFITu3bqyvCksLS2xc+cutGnbtsBjSttRW0uLEU0F+xfrl1lojCuXL+PBwwdwdHREu3btQe+NokFeMefPncMTvyeoWKEi2nfoAH0iRfMI+k+zro5y9u/t27eYMX06zp8/x4gtN7fWWLZ8OdtLVQQ9N7Vq1mCkiKiMnXvPnti//798U6D3n1evXqFatWpfkXCCjpGRkTh37iw+ffoEZ+dmqFu3riqWxeeQAQFFvfZkmJI35QgoFAFlvkcrNNEcg9FrL6Ow/INTmUDwsTkCKkaA/r+XUcAzUhWn+s1MJzhb/mYWpOKFqIUUuXTtASqVd2AVIsqORat24tZ9P7g0qc2m8g8KgV/AK/Tq1AJjBnfFmct3JFaKLJkxAm1a1M/qn6NShMtnKXsH+fgcAcUiwOWzFIvntziauuWoZMU0L7mvbm3bQ/f1a6Fvh3bol6+ZzFVEOLRSJFc7ZhS3RLqgqoNkrdjX2TJXdg5IJy+IXKoPcq5DktG6rOtWRfsXz4Owc8dm0OfyFSqxG7yKlDWaN+snbN64FvWaLETtBjNw8VRvhAQfxer1W1j1i6rCpWldBAU++0raKeDVWxgbix96KzsnkhPbtX0zvG9dh7FJMbRu24F5oQiCTNDHjPRAZEQ4+xFVW/yzdQ+T2CoMQSbiJBNGklrlKlREsWKmSk9bUfJZg/u7M4k1QRS3tMJFL29WiURBhEiXdi7weXhf2KZM2XK4cMUbRjmqa5S+aADjRg3B0cPi5EOnrj2wcUveUmeKzIsq+JrUrYLIyAixYfOSsaNG1GfE4L5CnImcJB+VMePFK+fv3bmN3j06ICX5y3v4lJ9+YdVgPDQHAUnyWZqTKc+EI/BtIcDls76t/eSrKTwIcPks1e8Vl8+SD3O1kCLypSxbb9JlfhoUIuzk6x8MMnYf1LMNBrq3xl2fAOYp4nNhM/T0dFm7tv1+YnJeAk+Rdi0bYkT/jux33FNENvx5a46ApiHASRFN2xHNy0fdniLSIKL1OSVbviqcSVh9euKLDw/vwzQ2FjapqTB69xZacXESh8o0MUGawMPDPlvSSuDnQcSHvSOY9JUCojCSIgpYdr5DECFCxEjOSpFjpz1Rv2FjqaenG/wvg58jNS0VFSpWltlzQXB4rKdfDPoGZkiIe83Ihpv3/KTOIa+GivYr6di6GTt0L1LUFunpn5kZe3MXV+w9eELuXFUxwIxpE7B751ZWuUEVLgP/791Ch+TKDEWQIk/9n8CteUPo6BqiYpUhCHt9HnEfX+DnmXPRvWdfZiJPnilDBvRkz1D5ygPwMugQkhLfYNWajejdb5Ayl5jr2DUrl8KH9+/QrtsZlvepgy1hamoG/2BxkkKZidGzSj5ID+/fhVWJEujaozem/Twrzwqsnds3Y+aPE6GtrQtT80qI+ZD1GrzrG4iSdvbCVEcO6YfTJ4/ByroBa/f82W5WkUMG3US48dAMBDgpohn7wLP4/hDgpMj3t+d8xZqBACdFVL8PnBSRD3OVkSJT56/FuSt3pcpW4NchVWMZG+WUz0pMSkGD9qMxfVw/9O/hhis3fTBpzhqc27ucVbKQQfvBk17YtWYWihgZ4Ifpf6CMoy0W/TyMzcwrRWTcAN6cI6BmBNRBitDN4MTEBFSqXFXlUjRqhrvQTv8i+DmueXlCS1sbzVu0Umh1gERQ0tNZFYdOBPl2hDEDczHjcvo++oPEYTINjbI9O76Yl5OPR5rQvNwemUWNJY6jqAacFPkayY8fY+HqXF/sJrmTcwv8d/TLbXxJ+Ps9eQQ6IA159ZI1tba2wYYtu9GwcVNJXYW/p+d96MBeeB4UwH5mUdwSa9ZvgUur1lKPkVfDbZs3YPYMcb+SHj37Ys2GrQUa29HahFUkDBj1FtHvfHDmSFuW7+OA1wUaT5Wdrl+7gj7dOwDQgrlFFcREP2WmR/uPnIZzMxelpaIIUuT82VPsGSnp0Artu5+Fv+863PKajGKmZvj0MZblTtUgSYmJqFBlEJq33oK7N2bh0f3lmPzjTOadour4Qoqcho6ukVpIEVnXPH3qeEaaNWy2DDXqTMapQ654E34NO/YchFtbenayom2rpnjyyAcde16GTUkn7NxgidTPn3DHJwB2JFnIQyMQ4KSIRmwDT+I7RICTIt/hpvMlawQCnBRR/TZwUkQ+zFVGily++RBhEe+kyrZ3l5Yw0NeTqq2sjXKSItSf/E3I50QQsycPQr9uruzbhMRkkMfI1du+7PvqlcpgzZJJKGGZZQjLSRFZd4C35wioFwFVkiIkuTN0UG+xg8a/N2xlprs8vlMEMjOh8y5KaFpOxId2aJZhOSNB6PPbN0C2sXOeKOnqMtmqdJKvokoPJmf1xbicJK4yLIprFMiKJEU+ffqIpQvnMIkZOoRt4tQMcxb8yqobCluQXJTnxXN4HfISVavVYFUPsnhkDOjdFVc8L8DAwJwd/CYmRKBmrTo4c+mGzFAog8Dt0r4l7t/1/sqvJDgsukAkseCg28DQAinJ0WyN5C3y35EzaNzUWeY1q6pD6OsQTJ0wGjdvXIV58Wpo1f5fPPFZw4zk5y38DaPGTlRaKoogRYSVIjqGqFRtGEJfnUHcpywiTk/fBIaGlsLvNaVSJDf5rC7de2L9pp1Kw1regel9be3qlYx8qlxjFG5dmYSkxLfIWT3GK0XkRVo1/Tkpohqc+SwcgZwIcFKEPxMcAfUgwEkR1ePOSRH5MFcZKSKa5q17fvgUn4C2Lg3ly16BvdPTM/DmXTRKFDcTymiJDv8xLgGpqWmwtBDXfuakiAI3gQ/FEVABAqokRUj3/viRgxCVpClTrjyuez9SwUr5FOpAQDs29gu5QRUdYUR40EeWzJVOZDi0Pn/OPzUyh7S0YmSHoKojw56ID3ukC6StyMeDDM4LUSiSFJk/Zzo2rReXHCJi5OCxcxIRIcmZtX+twLNn/ihbrgJGjh6nFmkfiYlK2aBWldJ4/y4KvTyewsCoOHZvLMFIgpA3n2QiV6ScTuZmivYrEfiwUCL6BubQ1S2CxIRwVK1eExeu3JY5P1V0IGmpxnWqIDY2RjidtrYeTIqVxsfYIKz8az36DhistFQUQYpQch793XFJxFNEh8jZtDR06HER1iWdsHujFVJT48XWQR48F6/ehZGRkdLWl9fA5N2yeMFseF2+yIzWqepv7sJfhR4oKk9IigkDA56ilXN9Jq8mCHsHR1y/8xjkLyII5inSvT1SUlKEPyM/EfIV4aE5CHBSRHP2gmfyfSHASZHva7/5ajUHAU6KqH4vOCkiH+ZqIUVISis+IQn/LP9Rvuw1oDcnRTRgE3gKHAEZEFAlKdKsUS28CA5C177eMLOogl0bLZGR/hmBr6JQ1Fh1skUywMOb5oOAVnISdKiqg4gOJm2Vo8IjPBxaiQkSMcwwN/9CbtjZI4MqPLLNy8nfI8PWDpkih18SBywkDRRJipC3Ad1cb9FmByxL1MbhPXWgpQU8D/0AAwODPBGh2/rODWsgLS1NrM3ZSzdQo1adPPuR+XHAUz+YmpnDwbGURiHevHFtBD8PRM16P4GqJ+7emAkzM3P4Pc8yIld3KNqvhPaiZmVHfPr4Ee4DfZkfy84NFsxHhYgg+qxpcezwAYwdNRimZhVRv+ki+Nz9DR/ePWRpmpgUw+2HT9meKSuKGenA9/ETZGrpgYzPZalEEs2JDuqvX72MJ499Ye9QCju3/sMqXypVG44Sto1x7eJINvam7f/i5YtgRjq2cmvLvC54SI+Ar88D7P93J8JCX6NajVoYNuIHWJWw/mqAt28iWZVYXFwcmjR1Zm15aBYCnBTRrP3g2Xw/CHBS5PvZa75SzUKAkyKq3w9OisiHuVpIkXU7juHY2evMt6OwBydFCvsO8vy/NwRUSYp0btsCD+7fRdVa45hcyg3PsezA9kX4l9vC3xv+BVkvGeV6XjqPmOhoNGjUBHXq1i/IMPn20UpNhXZkOPPvYFUdYaHiPh4kcxUjed8yixTNlrISqeoQeng4IN3BAeT18T2GMkgRl7Y7YVmiLg7trgUtrUz22hK9TZ0T5317dmDapDGwtW8J1w57cd1zLF49P4yZcxagcuVqCAoKQLnyFdHStY1wnFMnjuKnyWNB/h8UVJGw499DKFnSTiO2cdXypVjx+2KxXIaPGouFS1doRH7K8CsRkGI16k5DkaI28L72E4oWNUZgSJRGrDlnEju3bcLMnyahXKV+cGm7A7evToOfzxrUb9gYf63drFTPohvXvTB+1GBERWVhQ9WKW3fuR8VKVeTGSvB6Eh2oQ6eu2LR9r9xj8wE4At8CApwU+RZ2ka+hMCLASZHCuGs8528BAU6KqH4XOSkiH+ZqIUXeR39E+wHT8cf8sWjWqKZ8K1Bzb06KqHkD+PQcARkRUCUpsnnjWpDUi2j06jsQf/79j4xZf7/N/R77omtHV+YbIYjRYycxCRSpIyMDOm8ixXw7tMOyPDx0s6s9tN+/A0TkSnIbO1NfH+m22abl2R4eZFye5emRRYJkmGX5TeUWCfHxCAx8xg5Azc0tpE4/r4aiXhRVqlZnXhSaeEtekL8iSZGCymd9IUVc4NphH65fGoNXwUdgbWMLunUtiPIVKuH8lduMGCEPi5joDzAxLcu0/dNSE+AxdCR+Xf7Fi0zuzZRjAJIFOnRgL65cuoC0tFQ4NW+JfgMG50sOyTFdgbsq0q9kzZ/L8dvieWK5CPaE5lk8/xfcunGNGX+7tWmPWfMWs4oMdYXPw/vo2LoZm968eHXERvsjMzODkWuUnzKDpJgCnvmjqLE9k7b6nBKLtu07Yeuu/xQy7cnjR3Dh3GnEx31CoybOGDRkhFqkshSyGD4IR0DBCHBSRMGA8uE4AlIiwEkRKYHizTgCCkaAkyIKBlSK4TgpIgVI+TRRCylCxuVnPL3zTOvmibUwNSkq38pU1JuTIioCmk/DEVAQAqokRUhq5MTRQ8wMOjExAU2cmmOAxzAYGhoqaDXf/jBTJozGf3t3wcKqFqxK1EOA31a26IBXb2FsbMK+1o7+8EXKilV6iHh40Nd02J1DLukr5LS1kW5tI+bbkeHgICZzlW5VAkyjqQDx+5L5zDw3PT2d9e7aoxfWbtxeYBkb8ihwbdYA4WGhwmwaNXHC4RMXCpCdarookhQpqNF6yKuXTD6LiIScQdJTdJP/ReB/SE56x/aHbvI3qlMZhkaW6D8iHBGhl3D2aAfUa9AIx89cVg1wfJavEBAQQV6eF5Ga+lmMCOrW0RV3vW+J9Rkzfgpmz1+iViQXzJ2BzRv+Fj57PXv3x1/rNis1p8+fP6OsnTnjez3GRCP+UwgO76kNO3sH3PEJUOrcfHCOAEcA4KQIfwo4AupBgJMi6sGdz8oR4KSI6p8BTorIh7laSJFL1x4gNCJviYN+3V1hoP/FTFC+JSq3NydFlIsvH50joGgEVEmKKDr373G8QZ3c8Ob2TXRrPB+Viloj8toMWH/+iK71G8IkJoZVf5DXh6TIsCj+paIj28eD/DvSycCczMtJCklHR9IwBfr9s6d+jMCgEL0lvmHzLnTu5l6gMbduWo85M6ex29+OZTvj+dNd7Bb4kZMX0bBx0wKNqexOiiRF5Mk1p9F6pUqVceTQf8wXwdl1vVDaaPqs+Rg64gdULmPDpmvRZhsiQi8j6OlO5pOwa98RedLgfZWAAFWUlXe0hJaWNtwHPkLUmzu4emEYqtesjXOeN5Uwo2xDxsfHISgwgPl6KNNDRDQrwoNwadx8JeLjQvHk4Z8abUovG6K8NUdAsxHgpIhm7w/P7ttFgJMi3+7e8pVpNgKcFFH9/nBSRD7M1UKKyJeyZvXmpIhm7QfPhiMgCYHCRIrcu3MbVGFApqsk7+Peqy8m/zhT0hILze+1Pn+GTtjrLA8PqvAg3w6Ss8o2Mid/D624OInryTQxASM4iNywdwCTtKKvmayVHftZpn7e5tsSJ5CzwYF9uzF5/CiULtcdrh33497NufC99xsmTP4JM2YvKNDoAvmoeo3no3bDX3DpdF/mjfHn2k3o1WdAgcZUdidNIUVyrvPcmZMYNqg3MynPWSnSzb03PPq749L5M2Ld1mzYih49+yobMj6+jAgISBFtbV30GOCDd2/vwuv8UI0hRWRcjkKa/zx1PPbszKqwEwRVzVD1DA+OAEdAuQhwUkS5+PLROQJ5IcBJEf5scATUgwAnRVSPOydF5MNcbaQI+Yo8DXqNxKTkr1bQyrku9HSVc2NXPri+7s1JEUUjysfjCCgXgcJCipBfRMPalRD94b0YIH9v3Ibu7n2UC5IiRk9Pz/bxICmrL+blRHyw78nIPMfacps2Q18fL1NT8TozEyQURR+lXVzRfswERnykOTois6ixIjJW2hjnz57C0IG9YFysNBo5/45HD1bi3Zs7zOdg7ISpBZpXtFKkVNkurHqBV4oUCEqkpqaig5sz/P0eCwcgs/ULXt4wMDBAYkICdm7fBO9bN2BqZo52HTqzDx6aiT2F/GcAACAASURBVICmymepCy2S0DqyfwcuX74MXT0DtGrdlv0N0SqgFKC61sHn5QgURgQ4KVIYd43n/C0gwEmRb2EX+RoKIwKcFFH9rnFSRD7M1UKKPPIPRr+xi/LMnHuKyLepvDdHgCOQNwKFhRS5f+8OurRzgUmxMujc+zoeP/gDjx+sRJ/+Hvhj9Qb1bnFmJnTeRWWTHdkVHqHZ5IeA9Hj7BsjFt0EscV1dpNvYIt1OYFZOJuYixuVU9WFRHB/ev4PnpfOIiY5Gg0ZNUKduffWuX8bZ6fZ6o7pV2DoEQQbe1+88hr2Do4yjZTUnT41WTvUQGRkh7N/UqTkOHDtboPFU0UlTK0Vo7Wlpabhy6TyCggJAhEhL1zYaZ1Suij36FubQRKN1deNqbqyP5NR0JKVkeRrx4AhwBFSDACdFVIMzn4UjkBMBTorwZ4IjoB4EOCmietw5KSIf5mohRSbOWY2INx8wZ4oH+o9dhCNbF8Payhxzlm1BZkYm1iyZJN+qVNibV4qoEGw+FUdAAQgUOlLEtCw697qGJw9X4dH9FSohRbRjY5mUVVaFR7aklah5eWQ4SPoq39DSQoalFZOwSsuWs8og/w6BzBV9trEFtLUVsKuaP0REeBi2b9mIp/5PULpMWQzwGIbKVarJlThVE3lePIfXIS9RtVoNNHdx1ejb35pMisi1EbwzR0DDEeCkiIZvEE/vm0WAkyLf7NbyhWk4ApwU0fAN4ul9swhwUkT1W8tJEfkwVwsp0mHgdAx0b4PeXVxQy3U4Dm5agCoVSuHhkyAMHL8Elw/+iRKWZvKtTEW9OSmiIqD5NBwBKRHIzMzEi+AgpKeno3yFStDOceiuLlIk5NVLXPXyREZ6Opo1b4my5SvkuyI68G5Up7JYdQF1kFc+i0zJdaiqI9u3g33O9vMQyFxpJSZIRDvD3FzEt8MeGVThQeSHnR3z98iwtUOmnp7EcXiD7wcBTop8P3td0JWSj9KDe3dQ3MoKrVzbwNyieEGH4v1EEOCkyLf3ONC/dW5c98KTRz6ws3NAS7c2MDY2+fYWWshXxEmRQr6BPP1CiwAnRQrt1vHECzkCnBRR/QZyUkQ+zNVCirTt9xMG926H/t1dQV+PHdINXds6ISTsLYgw2bXmF9StUVG+lamoNydFVAQ0n4YjIAUCj30fYsSQfggLfc1a25a0w8ate1CvfkNhb3WQIsePHMS40UOQkS0nRVruq9ZsRK++A/NdlcxG62lprMKDDMqZeTn5drAKj+yqDzIyj4mRiGRmkaJZBuWiVR0C83L67OCATEMjiePwBhwBUQQ4KcKfh/wQmD51PHaLGIKbmBTDyfNejNz+HmPt6pU4sG8PwsNDUbNWHfw4fQ6aODUrEBScFCkQbBrdaXB/d1w8f0aYY3FLK1z08kYJaxuNzvt7S46TIt/bjvP1agoCnBTRlJ3geXxvCHBSRPU7zkkR+TBXCykybMrvKGljicXTh2PBHztw8+4TTB/XDxev3cexczfgfWo9jIsWjgM3TorI9wDy3hwBRSLQp0dHXL96GQaGxaGjo4/EhEjUa9AIx89cVisp0qZlE/g99oWdoxt0dAzx+uVJlC1XAde8faVffkYGdKLeilV1aIcR2SFCeryLkujjQdUbGbYls0zKs+WsWJUHESDZJEiGhYX0eam45ft3UQgPD0PFSlVgZFQ4/k6oGCKNnY6TIhq7NWpPjF7XtaqUhpaWNipWHYqoN7cR88EPQ4aPxpLfV6k9P1UncPb0CQz36CM2bbFiprj7KLBA1QCcFFH1Dip3PpJhdGveEDq6hqhYZQjCXp9H3McX+HnmXEyaNkO5k/PRZUKAkyIywcUbcwQUhgAnRRQGJR+IIyATApwUkQkuhTTmpIh8MKqFFDl9yRuvQiNZhUjU+1i4j5iD6Ng4tpIff+iDoX3by7cqFfbmpIgKweZTcQQkIFCtgj1iY6LRZ+hz6OoWxZ5NttDV1UXIm0/CnuqoFKlS1pYZY/cd9gr6BqbYud6c5RP+PlGYl3b0hyxJK0FVh6iHB339JpLcoPNHQFsb6dY2YhUeGQ4OYjJX6VYlAC2tQvcspaSksEPCy5fOs9wNDAwwY9YCjBo7sdCt5XtNmJMi3+vOS173wwf30KlNc5hbVEWPgT54GXQInmf64X/t3QmYjdUDx/HfGMtgGMbOjCWVEpU2bf5ZQip7EpEtS1qUFiJRloiotChSQglFIVREtpJCllDKNvY1y2Bm7vyf887SjMbMvfe9c5e53/d5eoo56+e8k7q/OefUvbOhJk+blXUDOaxE/z5PWXcQVb26p2rUfEHzPq+n40d/12ezvtbttWq7PFtCEZfJ/LrCNwvmqVO7ViobXVeNmi/Q5vXvaNXSJ71y55hfw/jh4AhF/HBRGFJQCBCKBMUyM0k/FCAU8f6iEIrYM/dJKHLhkOMTErRt+25Fly2pQuEF7M3Iy7UJRbwMTncIZCJw243VtOPvv3Ttjf2UO08BrVn5gkqVKq1fN/2VWssXoUizO2rq9KYNqlGyhqIcCSp4+DdVLVRY99a4LumYq5g9Mnd9ZPU4Iov9u6PD3NtRLtq6vyPB7Pgoa/4qJ4WGZtWMz7/+91/bNfSl/lq1YpkKFCyoevXv0guDhmb6E9CTJr6vfs89qVy58iiiyGU6dnSzdV/Mz7/9odLmwnaeDAXM3Trbtv6usLD81gXv5ug2Xz2EIr6S9/9+0+4UqVKtq/bH/GCFAMG6UyQ1FLnmUdW4qT+hiP+/wl4dYepOkdAwVbmqs3bvmK+T//zNThGvroJznRGKOOdEKQQ8LUAo4mlR2kPAOQFCEeecPFmKUMSeps9CEXNB4I7d+7X/4FFdUqGsSpUoql0xB1Qgf5iKR0bYm5UXaxOKeBGbrhDIQuDVV17WG68NT1eqe89eevHlV1J/z9OhSMj58wrdsys13DB3euQyOz6SLzI393uEnEzaCZfZk1ioUFLAYcKNqGg5Uu7wsI61Kmf9XmLefFk1ExBfb9Kojn75+ad0Y330iafV78XBFx3/M0/21KdTPlLNWiNVrUYvzZ1ZVwf2Lrd+itz8NDnPfwWWL1uiR7t1lPnA2TyVKl+qj6bM8NkdDYQivKWZCVx4p4g5Lurr75ar0iWVgw4uo+OzzCXa5vgs4+Lqw04RV8X8v/xDbVtqUZo7RYqXKKnFy36WuVuEx38ECEX8Zy0YSXAJEIoE13ozW/8RIBTx/loQitgz90kocvrMWfXoM1q/bthmjX54v25q3OBWPTHgTe3YtV9fTRpmb1ZerE0o4kVsukIgCwHzU/EzP5uqpUsWyfzz/+6oax0nYY7QSnlcCkUSEqxjq/69tyPp8nITfFjHXJmLzI8cznJdEvOF6VzJkjqYL59ORBRRkerXqPDV16YecxVfvrwSC4Zn2U5OKHDm9GldVqGEdXdAy/YbdGDvKi377mHrIuH5i1ZcdIpDBvXXu2+Nse5lqXJVF61c0ktnYw/qqwVLdP0NN+UEGo/Pofat1+mPbVtUMDxacXEndf7ccd3TuJne//ATj/flTIOEIs4oBXeZ1T+u1NpfflbxkiWtsLNoUf+93yi7V4qL1rNbOLDbNz9cZu5Q27hhvaKiK6jenQ2tnZc8/iVAKOJf68FogkeAUCR41pqZ+pcAoYj314NQxJ65T0KR6XOWaOwHn+u5nm005fNv1a5lfSsUWb12izo9NVzfz3xdJYsXsTczL9UmFPESNN0g4CGB1FDk9Hkr0Ei5wyN3zO6kHR7Jx1lZwYe5xyMhIfOec+dWQukySki9rLxcmn9O3vURWcxDow/8ZlJCEXMMVosH1+rg/p/0w7ddsgxFNv62Tg3r3poOwPwE+dJV6xQaAEeGeXvlYmNjdWm0ee9C1KHncf1z/E/N+uR6VahYSSvXbPL2cKz+CEV8wk6nCIidIrwECPhGgFDEN+70igChCO8AAr4RIBTxvjuhiD1zn4QizTu/oIa1b1KPh5qo27Oj1Lj+rVYoYi5br9XscU0bN1DVr6hkb2Zeqk0o4iVoukHARYFcx4//u6MjJvlIq5jdyrdvr0JidiskJkbm6KtMn5AQOYqXsHZ0xCcfZ+Uw93ekHHNl/m7us8iVy8XRBXdxd47PMmK//vKzZkybopiYPVaI0qlLd44KyeRVqhxdTGdjY3XLHa/r5Im/tXHdG1mGT9n5ZhKKZKcubSNwcQFCEd4OBHwjQCjiG3d6RYBQhHcAAd8IEIp4351QxJ65T0KRJh36qVmj29X5gbvThSLbd8SoScf++mbaKJUrXdzezLxUm1DES9B0g0AaAXMpeeie5COsko+yMrs8zP0dSUddxSjk9KkszRwREUl3eFj3dkTJEV0+za+Tdnwk5smTZTsUcE3AnYvWXeuB0kbg6V6PaNrUSekwBr48XN16PpEl0KaNv2nYywOsu1+KRkaq0T1N1af/IOXL5/69NoQiWbJTAIFsESAUyRZWGkUgSwFCkSyJKIBAtggQimQLK40ikKUAoUiWRB4vQChij9QnocjgMR9r+eoNmvTm83rx1YnWTpF6ta7Xs4Pf1W+bt2vJ528oNDQwfvKaUMTeC0htBP4jEB9v7fBICjiS7vDIZQUd/4YguY4dyxIusUDBpAvK0+7qiIpWvkoV5ChfXv8UK63E/AWybIcCCASqwPnz5zX144lauXypwsLyq86dDdS8ZWuFhIRkOiWHw6Hbb6qunTv+ditQuVjjhCKB+iYx7kAXIBQJ9BVk/IEqQCgSqCvHuANdgFAk0FeQ8QeqAKGI91eOUMSeuU9CkWMnTqrlwy/qwKGkDzajypSwjs46E3tWbw3rpTq31rA3Ky/WJhTxIjZdBb6Aw6HQgweSAo7UHR4puzuSQ49DByWHI9O5mt0bjjJlrV0d8cnHWTlS7/SIsn7fEZnxBb0uXbQe+OLMAAGXBUwYcusNVylvviLWvS9/bftMq5f3tS6+njxtlsvtpVQgFHGbjooI2BIgFLHFR2UE3BYgFHGbjooI2BIgFLHFR2UE3BYgFHGbzu2KhCJu01kVvRaKHDx8XHHx8anHYsWePa/pc77Xpi1/6+TpWFWKLq3md9fSZZWi7M3Iy7UJRbwMTnd+LZDr6BFrZ0fqro7ko6ySfr076eLy+PjM55ArlxJKlU63w8MRHZ3umKuEEiWlLH7a/WKdEIr49SvE4PxA4MJQZPvWafp5xfNOhSJnTp/Wxx+N10+rVqhI0Ug1bHSv7rq7sTUrQhE/WFyGEJQChCJBuexM2g8ECEX8YBEYQlAKEIoE5bIzaT8QIBTx/iIQitgz91oo8uuGP9T+8aF6tucDateyvnKHhtobuZ/UJhTxk4VgGNkuEBJ7RqG7diUdbWWOtDLhR/JuD+uYq5g9Mnd9ZPU4Ioul3uFh3eNRLlrx5ogrs+PD3O9RtpyUjf9+IBTJaoX4uqcFzp49q21bNqtk6TIqXbqMp5v3eHvm+KzbbqymXTt3pGt70JBX1bXHY5n21651M32/6Jt0Zd5+7yM1a3k/oYjHV4oGEXBOgFDEOSdKIeBpAUIRT4vSHgLOCRCKOOdEKQQ8LUAo4mnRrNsjFMnaKLMSXgtFzsSe01sTv9CkGQt1+SVRevnZzqp+5SX2Ru8HtQlF/GARGIJtgZDz55MDjqRww4QduXbvSn+Px4kTWfaTWDA8+R6PpKDDERWd/k6P8uWVmNf9i5qzHIATBQhFnECiiMcEJk18Xy+/2FcmGDHPbbffoUmffK78Bfz7PpuMLlrv+8JLyps370VtTpw4rqqVyyokJJf+V/8D7d29WH/8Pln1G96tj6bOJBTx2FtFQwi4JkAo4poXpRHwlAChiKckaQcB1wQIRVzzojQCnhIgFPGUpPPtEIo4b5VRSa+FIimd//7HTg0a9ZE2bv1bD7aor8c7N1ehcP/+cCgzYkIRey8gtb0gkJBgHVtlHV+V5vLy1F0eZtfHkcNZDiQxX5i1iyPt5eWO6PLpj7kqXDjLdnxdgFDE1ysQPP0fO3ZU115ZUfHx8SoSeaX+ObFdjoTz6j9wiHo+3jvHQZidJbdcX1Vh+Uuq7cO7FbPrGy38srFurHmLZs9bRCiS41acCQWKAKFIoKwU48xpAoQiOW1FmU+gCBCKBMpKMc6cJkAo4v0VJRSxZ+71UMQMNyHBoZlzl+jlMR9bo48sUijdLOZNGaHCARKUEIrYewGpbVMgMdEKNFLu8Mgdk3ysVfJxVlbwYe7xSEjIvKPQUCWULpPm3o5y1i6P+DSXlzuKl7A5WP+oTijiH+sQDKMw92q0aFxfxUpcq2ZtVmvLxg+0YvEjatL8Pr07PunPv5z0JCQk6OorKuj4saMqFFFZsWf2Kz7utDp3fUSDX3nNY6FI7Jkz2rr1d0VHl1exHPLvpZz0HjAX/xMgFPG/NWFEwSFAKBIc68ws/U+AUMT/1oQRBYcAoYj315lQxJ65T0KRXTEHNOzNKVr20wbVqHaZrrysfLpZ9O7eWvnDLn5Eh70pe7Y2oYhnPWktvUCu48fT3NuxJ+kej7SXl++LkTn6KtMnJEQm0DD3d8Sb46zKmmOtotIfa1WqdLbe4+FP60oo4k+rkbPHsuX3TapX60blzVdEt9d9R39smardf8/TQ5266pWRb+TIyc/9apaee+pRmaO0zFO12tWaPG2WdZeKJy5af+uNURo1fLDi4uKs9u9s0EgTJk1Tnjx5cqQnk0LAEwKEIp5QpA0EXBcgFHHdjBoIeEKAUMQTirSBgOsChCKum9mtQShiT9CrocjZc+f14Wfz9dbEWSqQP0wDe3fQPXferJCQEHuz8GFtQhEf4gd41+ZS8tA9e1Lv8DC7PUzokds64sqEHzEKOX0qy1k6IiLS7PCIknWklbmw3FxeXs4cdxWtRD4wTHUkFMnylaKAhwQSExNV9/YbtG3r7+la/GrBEl1/w00e6sX/mjGBxdbfN6lI0UhFRf/7Qw92Q5Hdu3bq5uuutCZctNhVOnFsqxyOeL32xrt64MEO/gfBiBDwEwFCET9ZCIYRdAKEIkG35EzYTwQIRfxkIRhG0AkQinh/yQlF7Jl7LRTZu/+wOj01Qnv2HVLb5vX0WOcWiihU0N7o/aA2oUjWi7Bs6WJ9OWumDh86qOtuuMn6KekiRYpmXTGQS8THWzs8kgKOGIWaeztS7/RIvsj82LEsZ5hYoGC6OzysoCN5t4f196goJeYP3Dt5sgTIhgKEItmASpMXFTh29Ig+nDBO69f9qlKly6jFfQ/o5ltvD0oxu6HI/Hlf6eEOD6hc+Tt1V7OvtX7NCK1ZOUAdu3TX0BFjgtKUSSPgjAChiDNKlEHA8wKEIp43pUUEnBEgFHFGiTIIeF6AUMTzplm1SCiSlVDmX/daKPLrhj+sI7MGPt1R1a+oZG/UflSbUCTzxfh+0Tdq17pZukImGJmzYIkfraKLQ0lMVOiB/Rfs8EjZ3ZG88+PQQcnhyLRhs3vDUaastasjPvk4K0eaOzysY64iI10cHMWzEiAUyUqIryOQPQJ2Q5GVK35Qq6Z3qUDBsrr5jtH6ff272hezVE8+87ye7TsgewZNqwjkAAFCkRywiEwhIAUIRQJy2Rh0DhAgFMkBi8gUAlKAUMT7y0YoYs/ca6FI7NnzypMnVLlDQ+2N2M9qE4pkviC9ej6smdM/UcVLW6pi5aZavqiH4uPPaOWaTapQ0T/DsVxHj6a/xyN5h0duc9TV3j3KtW+vQpLPs7/o7HPlUkKJkslHWJljrKIzvscjgI+O87NvRaeHQyjiNBUFEfCogN1QxBzLdftN1bVn967UcZnjNxcvX6PLqyQdq+XLZ2/MHh09cliXX1FVefMGxr1ovvSib+8JEIp4z5qeEEgrQCjC+4CAbwQIRXzjTq8IEIp4/x0gFLFn7rVQxN4w/bc2oUjma9Pxwfv07cKvVbvhZFWu0lozJlXVPyf+1IJFK1T9mhpeX9iQ2DMK3bUr6Wgrc6SVubh8b/LuDnPMVcwembs+snockcXSBB5RMjs84q2jraKS7vMoU1bKnTurZvi6DwQIRXyATpcISB65aP3QwQOaOGGcNm1Yb91X0rrtQ7rm2ut86muOhjR/1q39dY01jvDwQho28nW1bNXGp+OicwRSBAhFeBcQ8I0AoYhv3OkVAUIR3gEEfCNAKOJ9d0IRe+ZBE4qcOx+nQ0eOWxe8RxYp9B81hyNRB48cU/HIiAx3s5w8dUbxCQkqGpG+LqFI5i/gyOGD9fqoV5Q7d34VDI/WiePbFJY/v377facKhofbe3svqB1y/nxywJEUbli7OnbvSvrnlF+fOJFln4kFw1MvKDdBh8Pc3WECj5TLy8uXV2LefFm2Q4HsE4iPj9fWLZtVqFBhla9Q0aWOCEVc4qIwAh4TsLtTxGMD8XBDQwb117tvjVHu3AWso71M8G+CkfVbdiosLMzDvdEcAq4LEIq4bkYNBDwhQCjiCUXaQMB1AUIR182ogYAnBAhFPKHoWhuEIq55XVg6KEKRF0Z8oFnzl6XO/brql2vskCdUJCLpQ/mlq9brmZff1ZnYs9avzb0n9zeubf2z+b0+Q97T4hVrrV9fXbWyVdeEJ+YhFMn8BTx27Kjat26W+hO0BQuGa+iI0Wr1QDvX3tyEBIXu36fQ1MvKky4vT93lYXZ9HDmcZZuJ+cKUULZcusvLHdHl04UejsKFs2yHAr4T+GbBPD31eHcdP3bUGkSVK6pq8rRZKhcV7dSgCEWcYqJQgAts2vibVq1YpvDwcNWu10ClS5fx+YxyaijyQMt7tWzpYtW7Z7oqVm6maRMr6/Sp3fp+xS9+cayXzxeeAfhcgFDE50vAAIJUgFAkSBeeaftcgFDE50vAAIJUgFDE+wtPKGLPPChCkfcmz7HOIb+8crT2HTisBx8dovb3NVC3do1l7jr5X/Mn9Fjn5nqwxZ1asnKdeg0Yq4WfjlRUmRKa8Mk8zZizRJPH9lf+sLx6pO8YVSpfRoOf60wo4sK7t3dvjI4cOqgqV16V4VnruQ4fSt3RkTsm+Vir5OOsrOBj/z4pISHzHkNDlVC6zL87OsqVs3Z5xKe5vNxRvIQLo6aovwkkJibq2qqVZI6rKVS4ks6ePay48yf14EOd9erot5waLqGIU0wUCmCBN0aP0KvDXkqdQb58+TR1+le65bZaPp1VTg1Fundpp7lffqFLLm+t6Ip3a9l3XeRwxOuXjdv9Iozy6aLTuV8IEIr4xTIwiCAUIBQJwkVnyn4hQCjiF8vAIIJQgFDE+4tOKGLPPChCkbREcXHxqtvqKT3euYXub1LH2iXS8/kxWvvNeOXNm8cqene7PlZA8mCL+rqv60A1rH2juj54r/W1hUtWq/egd7Tx+w9lLnhlp4jzL2C+lcuU+88/ko60SnuPx94YhZxL2qWT2eMoVlzxFSrKkRJ8WMdalVOC+Xvy0VZZtcHXPSewYf1avTJkoH75+ScVL1FCd9/bTM/1G6g8eZK+j7LjObB/n66rVll58oSrXfdD2r93meZ/0UBXX1ND8xetcKpLQhGnmCgUoAIOh0OXVyyp2DNnVLlKW508sV0H9/+kOxs00qRPPvfprHJqKLLg6znq8lDrdLYmgJr55UKfetM5AikChCK8Cwj4RoBQxDfu9IoAoQjvAAK+ESAU8b47oYg986AJRc6fj9PEafO19Mf1KlEsQsP6dlV4wfyaPmeJPvpsvr6eMiJV8vH+b6hidBk93eN+3dioh4b06WIFI+bZvG2HWnUbpJVz3lZEoYLafyzrD/MzWiLzL4tcIdKB42eVmGhvEQOldrEGdyjPmtUZDtcRESGHubcj+a/UI62S7/IwX0vMmzdQpprjx2nu9Kh57RUyO4DSPq+MfF0du3TPtvmfMR/0RhWz2q9153gd3Pejtm76QHfUqadpn891qt/wsNxSiHQqNt6p8hQKbIGQRCkxJLDn4MroDx7Yr2uurGTdb9Gh53Ed2v+zvpp+m3XM3JKVv7jSlMfLFi6QW/EJ0plzOe9779uFX2v+vK909MgRXX9jTXXq0l3hhf57f5nHUWkQAScEihTMo3NxDsWez2LHrRNteb6I+Y/gIPqXtOcBadGPBYqG51Hs2QSdjXf48SgZGgKZCATov6KLFcqrf87EKy6B7z3ebwS8KVC8cD4dP31e8QlB8iGnN3Ev0lfpotxhaWcZgiYUMcdk9R8+QVv+3KmSxYvqlX7dVKZkpHU81oLvV2vm+H+PGjH3i4QXyK+BT3dQtTqd9M4rT+mOW66xnLfviFGTjv313WevqUypYjIXtLvz5DKJiOR2fXf69HWdkJdflnb8LUVHS+UrWH9PjIqSKlaUChTw9fDo3wWBzZs3q3r1agrLX0LN267Rts0f6ZdVA9W8eXPNnJm9P43esmULzZ49O91oJ06cqA4dOjo1gxDrWy9E5igunpwvYP5nKE9orpw/0eQZmp0iERGFZQWIaXaKNG7cWLNnf+lTB7O7UkoMmh8E8Ck2nSOQRsB87yXKJMT+xxKXkKg8oYQi/rcyjMgTAv78veeJ+dFGzheIcyQqT/LnFoE025Bcyf+v54d/7gWSI2NFwFUB8zmnu5+RutoX5ZMEUj5bxsM9gaAJRVJ4zAehXZ8dpdIlIq0dIM7sFBna92E1uOMGq4kLd4pwfJZ7Lx61Altg29bfVee26/8NRTZ9qF9+HKRG9zTRhEnTsnVysbGxmvzRBP20arnCCxVW/YZ3694mzZ3uk+OznKaiYIAKZHSnyKcz56rmLbf5dEY59fgsn6LSOQJOCHB8lhNIFEEgGwQ4PisbUGkSAScEOD7LCSSKIJANAhyflQ2oWTTJ8Vn2zIMuFDFcw96cor927dOEUc+m3imy7tsJypMnt6XZsM2zeqhVg9Q7Re6qc5MebnuP9TXuFLH3wlE7ZwiY47Nuvu5K7bvw+KxRb+qhjg/79SQJRfx6eRichwQ2bfxNq1YsU3h4OwNiGQAAIABJREFUuGrXa+AXF34TinhocWkGARcFCEVcBKM4Ah4SIBTxECTNIOCiAKGIi2AUR8BDAoQiHoJ0oRlCERewMiia40ORU6dj9f6UOWreqJaiypa0dno8/PRIK+To3r6xzsSe042NuqvPo23UtsWdWrJynXoNGKuFn45UVJkSGj91rmbOXarJY/urQP586tFntCqVL6PBz3W2ONkpYu8FpHbgCmR00Xqf/oOUO3dSuOivD6GIv64M48rpAoQiOX2FmZ+/ChCK+OvKMK6cLkAoktNXmPn5qwChiL+uDOPK6QKEIt5fYUIRe+Y5PhQ5feasOvR6Rb//sTNVqtldt+vF3h2UL28e6/cWr1grc7l6yvPCk+3Vplk965emvrlj5Icf11u/rlalksYO7aWSxYtYvyYUsfcCUhsBbwsQinhbnP4QSBIgFOFNQMA3AoQivnGnVwQIRXgHEPCNAKGIb9zpFQFCEe+/A4Qi9sxzfCiSwmPCjSPHTqh4ZBFrx8eFT0KCQ/sPHVXJYkVSj9FKW+bEydOKi4tX8ciIdFUJRey9gNRGwNsChCLeFnevv4nj39XUjydq586/VfWq6nr6uf66o86d7jVGLb8QIBTxi2VgEEEoQCgShIvOlP1CgFDEL5aBQQShAKFIEC46U/YLAUIR7y8DoYg986AJRewxXbw2oUh2ydIuAtkjQCiSPa6ebHXp99+pbasm6ZrMX6CAVq/doshixT3ZFW15UYBQxIvYdIVAGgFCEV4HBHwjQCjiG3d6RYBQhHcAAd8IEIp4351QxJ45oYg9P47PsulHdQS8LUAo4m3xf/s7c/q0tm3bogoVKqpoZLGLDmTIoP56960xurxqJ9142zDNn32Xjh5ar0lTZ+rOhnf7bgL0bEuAUMQWH5URcFuAUMRtOioiYEuAUMQWH5URcFuAUMRtOioiYEuAUMQWn1uVCUXcYkutRChiz49QxKYf1RHwtgChiLfFk/obM3KYXn9tuOLj461f331vU437YIpCQ0P/M6CUUKTKVZ11w61DtWB2Ix05tI5QxDdL57FeCUU8RklDCLgkQCjiEheFEfCYAKGIxyhpCAGXBAhFXOKiMAIeEyAU8Ril0w0RijhNlWFBQhF7foQiNv2ojoC3BQhFvC0u/bX9T9WqebXVcdFiV+n40S1KTEzQ62+PV6vWD/5nQBkdnxWWP79+XreV47O8v3we65FQxGOUNISASwKEIi5xURgBjwkQiniMkoYQcEmAUMQlLgoj4DEBQhGPUTrdEKGI01SEIvaoMq7NnSLZoUqbCGSfAKFI9tlerOWvZs3UI10fUnTFRmrQ5EutXT1Uv/74kro+8rgGDR6RYTUuWvf+OmV3j4Qi2S1M+whkLEAowpuBgG8ECEV8406vCBCK8A4g4BsBQhHvuxOK2DNnp4g9P3aK2PSjOgLeFiAU8ba4lLLzo2B4lGr+b5Q2rRurA3tX6Jk+L+ipZ/t5f0D06BMBQhGfsNMpAiIU4SVAwDcChCK+cadXBAhFeAcQ8I0AoYj33QlF7JkTitjzIxSx6Ud1BLwt4IlQ5K8//9DgQf3006oVKhgergZ33aN+AwZb/8zzX4Fz587p1uurav/+falfNHeJLF21TpUuqQxZkAgQigTJQjNNvxMgFPG7JWFAQSJAKBIkC800/U6AUMTvloQBBYkAoYj3F5pQxJ45oYg9P0IRm35UR8DbAp4IRe6pX0vr1v6SbuiPP/ms+r7wkrenEzD9mUDkownjtHnTBpWvUFFtHuygq6pfEzDjZ6D2BQhF7BvSAgLuCBCKuKNGHQTsCxCK2DekBQTcESAUcUeNOgjYFyAUsW/oaguEIq6KpS9PKGLPj1DEph/VEfC2gN1Q5OTJf3RFpdLKlSu3WrbboP0xy7RsUTddW+N6zft2mbenQ38IBIwAoUjALBUDzWEChCI5bEGZTsAIEIoEzFIx0BwmQCiSwxaU6QSMAKGI95eKUMSeOaGIPT9CEZt+VEfA2wKeC0XyqGX7Ddq3Z6mWL+pOKOLthaS/gBMgFAm4JWPAOUSAUCSHLCTTCDgBQpGAWzIGnEMECEVyyEIyjYATIBTx/pIRitgzJxSx50coYtOP6gh4W8BuKGLGm9HxWU/07qM+/QZ6ezr0h0DACBCKBMxSMdAcJkAoksMWlOkEjAChSMAsFQPNYQKEIjlsQZlOwAgQinh/qQhF7JkTitjzIxSx6Ud1BLwt4IlQJKOL1vu/OEQFChb09nToD4GAESAUCZilYqA5TIBQJIctKNMJGAFCkYBZKgaawwQIRXLYgjKdgBEgFPH+UhGK2DMnFLHnRyhi04/qCHhbwBOhiLfHTH8I5AQBQpGcsIrMIRAFCEUCcdUYc04QIBTJCavIHAJRgFAkEFeNMecEAUIR768ioYg9c0IRe36EIjb9qI6AtwUIRbwtTn8IJAkQivAmIOAbAUIR37jTKwKEIrwDCPhGgFDEN+70igChiPffAUIRe+aEIvb8CEVs+lEdAW8LEIp4W5z+ECAU4R1AwJcChCK+1KfvYBYgFAnm1WfuvhQgFPGlPn0HswChiPdXn1DEnjmhiD0/QhGbflRHwNsChCLeFqc/BAhFeAcQ8KUAoYgv9ek7mAUIRYJ59Zm7LwUIRXypT9/BLEAo4v3VJxSxZ04oYs+PUMSmH9UR8LYAoYi3xekPAUIR3gEEfClAKOJLffoOZgFCkWBefebuSwFCEV/q03cwCxCKeH/1CUXsmROK2PMjFLHpR3UEvC1AKOJtcfpDgFCEdwABXwoQivhSn76DWYBQJJhXn7n7UoBQxJf69B3MAoQi3l99QhF75oQi9vwIRWz6UR0BbwsQinhbnP4QIBThHUDAlwKEIr7Up+9gFiAUCebVZ+6+FCAU8aU+fQezAKGI91efUMSeOaGIPT9CEZt+VEfA2wKEIt4Wpz8ECEV4BxDwpQChiC/16TuYBQhFgnn1mbsvBQhFfKlP38EsQCji/dUnFLFnTihiz49QxKYf1RHwtgChiLfF6Q8BQhHeAQR8KUAo4kt9+g5mAUKRYF595u5LAUIRX+rTdzALEIp4f/UJReyZE4rY8yMUselHdQS8LUAo4m1x+kOAUIR3AAFfChCK+FKfvoNZgFAkmFefuftSgFDEl/r0HcwChCLeX31CEXvmhCL2/NwPRYqGKVeuEO0/dlYOR6LNUVAdAQScFSAUcVaKcgh4ViCiYB7FJyTq9Nl4zzZMawggkKkAoQgvCAK+ESAU8Y07vSJAKMI7gIBvBAhFvO9OKGLPnFDEnh+1EUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIEAECEUCZKEYJgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgTIBSx50dtBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCBABQhEfLdTJU2cUn5CgohGFfDQCukUgOAUSExOV4HAod2hocAIwawR8IGD+vDt05IQiixRSvrx5fDACukQgOAXOnY/ToSPHVSB/mPX9x4MAAggggAACCCCAQHYJHDn2j9V0saKFs6sL2kXAYwKEIh6jdK6hM7Fn1WfIe1q8Yq1V4eqqlTV2yBMqHhnhXAOUQgABWwJzvlmpMeNnaPGMMbbaoTICCDgnMH7qXL0+fmZq4Ya1b9TA3h0VUbigcw1QCgEE3BJ4YcQHmjV/WWrd66pfbv03Z5GIcLfaoxICCLgmcP58nLo8PVKxZ89p5viXXKtMaQQQcFlgxNuf6uMZC9PVq1HtMk15q7/LbVEBAQScF3A4EvXBp/Os77+jx09aP4zz8/xxzjdASQR8JEAo4mX4CZ/M04w5SzR5bH/lD8urR/qOUaXyZTT4uc5eHgndIRBcArtiDqjrM6O0Z98hlSpRlFAkuJaf2fpQYMbcJYouW1LXVL1Uu/ceVJfeI9SlzT3q2PouH46KrhHI+QLvTZ6j22+qrssrR2vfgcN68NEhan9fA3Vr1zjnT54ZIuBjAbMz2QSTsxcs15WXVSAU8fF60H1wCAx/6xPrvzWf69kmdcL58uVR6RKRwQHALBHwkcBr46Zr9oJl6vFQUzWqW1Pn4+L4vvPRWtCtawKEIq552S59X9eBMj8l2/XBe622Fi5Zrd6D3tHG7z9USEiI7fZpAAEEMhYwx/ccPnpCi5ev1YRP5hKK8KIg4COBAa9OVMy+Q5o4po+PRkC3CASfQFxcvOq2ekqPd26h+5vUCT4AZoyAlwXMLsmvF/2oe+vfqvmLfyIU8bI/3QWngAlFjv9zSsP7dQtOAGaNgA8EzDGttVs+qSF9uqh5o1o+GAFdIuC+AKGI+3Zu1byxUQ/rXxYmGDHP5m071KrbIK2c87YiCnGUiFuoVELABQHzP6Yj351GKOKCGUUR8JRAXHyCGrZ5RvfUu0VP97jfU83SDgIIXETAHN8zcdp8Lf1xvUoUi9Cwvl0VXjA/XgggkI0C3yxdo8FjJmnG+Jf0w6r1mj5nCaFINnrTNAIpAiYU+Wbpz7r5uqrW3a11b79O1199OUAIIJCNAouW/aonBrypB5rW1ba/9sjszmrS4FY1aXBbNvZK0wh4RoBQxDOOTrVitlFXq9NJ77zylO645RqrzvYdMWrSsb++++w1lSlVzKl2KIQAAu4LEIq4b0dNBOwKDBz1ob5e9JPmTR6uksWL2G2O+gggkIVA7Nnz6j98grb8uVMlixfVK/26qUxJjhHhxUEguwQ2bPlbnZ8aYe2GrH5FJU3/6ntCkezCpl0ELhAwd0fu2LNf+fLm0catf8t8WDt6UE81rH0TVgggkE0CU7/4TsPenKLHOjdXlUuitfWv3Xpr4iy9OqCH7ql3czb1SrMIeEaAUMQzjk63YnaKDO37sBrccYNVh50iTtNREAGPCBCKeISRRhBwWeCdj2br7Y9ma9q4gdYHRTwIIOA9AfODOV2fHWWd72x2LPMggED2CAwe87FW/bJJtW+5Nun/9f7YqU1bd6jVvXfokQ5NVSi8QPZ0TKsIIPAfgb7D3tfxEyc1bsTT6CCAQDYJmFDksy8X66tJw1J7MN97Z8+e1+svP5ZNvdIsAp4RIBTxjKPTrZg7Re6qc5MebnuPVYc7RZymoyACHhEgFPEII40g4LSAw5Go18Z9Zv2k7KQ3+qrq5RWdrktBBBDwnID5Kb6/du3ThFHPeq5RWkIAgXQCy376Tb//sTP199Zv3q7fNm9X+/saqF3L+iqQPwwxBBDwksDr42fql9+2afLYfl7qkW4QCD6BpavWq+fzY7Tuuw+UJ3eoBfDMy+8q9uw5vT3syeADYcYBJUAo4uXlMpfuzZy7VJPH9leB/PnUo89oVSpfRoOf6+zlkdAdAsElYH5KNj4+QQu+X60x42do4ScjFZIrRLlDk/7g5kEAgewReGHEB5o1f5n1U3qXVCiT2kmpEkX5/sseclpFQKdOx+r9KXOsCy+jypa0diY//PRI64dyurdvjBACCHhJgOOzvARNNwhIGvP+DOsug/JRpbV1+y51enIEf+7xZiCQzQL/nDqjeq16q0OrhtaOSHN0Xdueg9W/V3u1bV4vm3uneQTsCRCK2PNzufbpM2et1PSHH9dbdatVqaSxQ3txtrrLklRAwDWBP/+OUdNO/dNVatzgVg3v1821hiiNAAIuCTRs86z27Dv0nzpfTxmhClGlXGqLwggg4JyA+e/NDr1eSfcT683uul0v9u5gnbXOgwAC3hEgFPGOM70gYARad3/J+kA25TF/7g146iGF5csLEAIIZKPAqjWb9MSAsToTe9bqxYQhfR5ryw/AZaM5TXtGgFDEM44ut3Li5GnFxcWreGSEy3WpgAACCCCAAAIIIIBAVgImHDly7ISKRxaxdijzIIAAAgggkJMFTp46o2MnTqpEsaLKH0YYkpPXmrn5l0B8QoIOHDqmohHhHBXpX0vDaDIRIBTh9UAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIGgECAUCYplZpIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBAKMI7gAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAkEhQCgSFMvMJBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIBQhHcAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEgkKAUCQolplJIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAKEI7wACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggEhQChSFAsM5NEAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABQhHeAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEAgKAUKRoFhmJokAAggggAACCCCAAAIIIIAAAggggAACCCCAAAKEIrwDCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEBQChCJBscxMEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBAhFeAcQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgKAQIRYJimZkkAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIEIrwDiCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBQCBCKBMUyM0kEEEAAAQQQQACB7BT4bfN2nY+L1w3XVMnObtxq+9PZi/Tzui0aPehRt+pnVilm/2F9uWC5vv1hjYpGFNLEMX3+U/zkqTNW//nD8umWG65K9/Vz5+O0YvUGKSREdW+r4fHxpW0wOx0yG/jajX/o1XemaeyQJ1Q8MiLDoqbMnr2H1LjBrdlqQOMIIIAAAggggAACCCAgEYrwFiCAAAIIIIAAAgggYFPgiQFv6tCRE/r0nQE2W3K/ugkYrmvQVcOe76qmDW9LbWj0e9O1cMnPWvjpSPcbv0jN9o8P05FjJ9S8US05HInq3r7xf0r+/sdO3dd1oPX7syYO0eWXRKWW+eLrHzTg1YnWr39bNFGhobk8PsaUBrPTIbNBL/vpN/XoM1rfTR+tMiUjMyw6aNRHmjF3iTYt+Sjb5k/DCCCAAAIIIIAAAgggkCRAKMKbgAACCCCAAAIIIICATQF/CEXOnjuv6xt205A+XayQIrvDgMNHT+iOFr309rAnVfvWay8qmDYUubf+LRrRv7tVNiHBobvb9dGefYesXwdzKHIm9pzi4uMVUaigzTeR6ggggAACCCCAAAIIIJCVAKFIVkJ8HQEEEEAAAQQQQACBLASyCkXMEVJvfvC5Fi3/VQcOHVPNGlfquUfb6IpLy1stf/blYv209nfreKlPvvhOe/Yd1v2Na6vD/XepZPEiVpm4+ASNnzpXM+cusdq48dorlDt3qBrVqamW9/xPj/Z7XUtWrlNUmRIqUSypzvhRz+rdSbM197tVeqRD04u2ndH04uLi9e7HX2redz9awYUZ89M9WuuqKhV1/MQpPfTEMG3fuVdXXlZBYfny6sEWd6pR3Zr/aSolFHm47T2a8Mk8zZ86QuXLldKiZb/KuD3UqqE+nrEwXSiy7KcNem/yVzLHSpn5NL3rdnV98F7lyR2q9Zu3a+Q70/RA07qa9uViq4yxePnZTtq4ZYcmTV+gv3bts4KhTq3vUplSxawxmZ0is+YvU5e29+iLeT9YYzdHdg16ppOKFS1slTFBzZQvvtXnc5daXze7Wno81FQNa9+YZp226NGOTTV11iL9tXOvnujSQuVKl9AbE2bqx1836+SpWFWpHK3WTepYx2Gl7BQxYdWXC1do09YdqnPrtdbaGkvzmF0iq9ZsSj3izLwPK9Zs1A1XV9HM5LGYsQ58uuNFj+DimxQBBBBAAAEEEEAAAQScEyAUcc6JUggggAACCCCAAAIIXFQgs1DEfNDetudgHf/nlNq2uFOREYU05fNvrQ/uF88YrULhBawP7D/49GuVKlFU9zeuYx0j9fr4mVYQ8GTX+6x+h705VVO/+Fb1al2nhrVv0o5d+/TOpC/Vs0NTPdqpufXBujmG6Z56N6tG9cusOvfdW1tjP/g8y7YzmljKkU733XuHFXyY4GLnngNa8MmrKh5ZxAp5zO+ZsKN0yUhde9WlVrkLn5RQ5LP3Buq5weNU87qqGti7g1p3f8m6g6VokUIa8/6M1FAkJUQwgcKdta6Xua/F2Dzd4351fuDu1JDB9NOlzd2W2biPv9LR4ydVIH+Y2t9XX4ULFdTbH862wqK+j7W1hpRiXCGqlBWYmNBjzjcrdduN1fT+yGdSy3w6e7HaNKurq6tW1oLvV2v+4p/0yTsDdE3VyqltmMLXVb/c6tuEH29M+Fx7DxzW451bKF/evPp5/RbtP3hU7w5/Kt14TQAUXbakFdwUKRwuY2IeYzl7wXItnjEm07Ga0GzCqGf5TkQAAQQQQAABBBBAAAEbAoQiNvCoigACCCCAAAIIIICAEcgsFPl+5Vo91u+N1A/WTfltf+1R884v6I3Bj1sf/KfsYvhm2mvKH5bXQh3x9qdaumqdvp4yQkeO/aP/NX9CbZvXU/9e7VPRazV73NoxYUKRzI7PMjskLtZ2Rit48PBx1bnvSSuEMGGEeczukNuaPmbtCOn3RDtrx4YJe774YLC1M+JiT0ooMnP8S9ry5y69MOIDDe/XTX2Hva9FM0Zr7rer0oUixsXsdEkJKky7vQe9rT//jtFXk4alhgxp+5047Wu9Nm661V7pEkn3dpigxYQaKXeppBib4CFPntxWmbc/nGUFS+a+j7x5clvGvbvfb4Ut5olPSNAt9z6aGq6YNkxoMuWt/qlzNqHX1fU6/2dtYs+et9YyJeT5fMLLqTuDUnbJfD/zdWsnUEahiFmztGMdO/ELK/z57rPXUne/8N2HAAIIIIAAAggggAACrgsQirhuRg0EEEAAAQQQQAABBNIJZBaKmA+yzQfaaXdRJCQkWMFIn0fbWMdHZXQJ+EfTF1jHRJnLt3/5bZt1XNW4Eb1Vq+bVqX07G4pceNF62rYzWkpzlFfnp0b8pz9zYXr+sHyaPLafW6FI5QplVe/+3taujlb31tagZzpaR2ql7BRxOBy6tv7DiixSSKWSww0zPrND5UzsWcsio4vLv/pmhZ4fNl6rvx6nggXCrClNnvmNhr/1Serl5RkZp7Q1eWx/mb479HrFOq7L7N5JeUyoY+5MMXenXOyy9t6D3tHCJatVo9pluvm6qrrjlmtU/cpLrCYyGu+GLX/rgR4vadq4gap+RaUMQ5EL1+zfsfazdqnwIIAAAggggAACCCCAgHsChCLuuVELAQQQQAABBBBAAIFUgcxCEXMMlrkLxAQaFz4VokqrfLmSGX7Ybo7KMkdmmSDA3Dfx8DMj9eGYvrqpxhWpzZhQpE2zeurZsVmmO0Uu/IA9bdsZLaO506NHn9es8CPtB/Adnxyuc+fj9Ok7A9wKRUwwlBJWmB0w5iirtKGI2e1y0909rMDEHBOW/glRrZrVMwwZzG6TPkPfSxeKfDJrkYa+MTnTUGTpqvXq+fwYa+fHqdNnrTmbXTBmTdI+RSIKWeHFxUIRs6Nk9vzl1s6eH3/93QpwzLFiT3VrleF4U3bPuBKKmPtizL0xKUd58e2HAAIIIIAAAggggAAC7gkQirjnRi0EEEAAAQQQQAABBJwKRczl2v1eGa8vPxyqSyuVS6eWmJiokJCQLEORXTEH1ejB56xjsswdIuYxAUKtZk+o4/0Nrd83H8xfU6+LXnzqIbVuWje1n4w+yM8qFDE7M+5u10ePdW6uRx5K6s8cB3XDXd3UtOFtGvZ8V7dDEROq7N1/WJXKl7HaTRuKmLtUTNBz47VXavSgnhlaZbTzwt1Q5NW3P9WkGQu1bPZYnTodaxmb+07ub1LH6XUyBc0RWmbs5jEX1A8YOdG6r+S3RRO1cs1G9egz2jqiq0zJpKO93AlFUu6UWf7lWBWNKMR3HwIIIIAAAggggAACCLgpQCjiJhzVEEAAAQQQQAABBBBIETA7Rbb+uVu9u7dKhxKWL591mXjjDs8rLF9e9Xm0rSpGl9aO3fv15cLlMpeJ17m1RpahiGn0kb5j9MOP6/W/m6/RJeXLaP73P+nAoWOpF62bMmang9nx0L9XO504edrq+80Jn8vVnSKmLbMzZeufu6zLw6tcWl6Tpi+0jogyuyrMMVHu3CmS0UXsF4YiKTs8zL0exuf8+Xit2/SHzK4Oc8+InVDE3AcyetCjiipTXIuW/6r3Js9RnVuv1asDeljrZtbR3Pfx0jOddP3Vl1t3uRjzXLlyWRfeZxQwGec2j7ysxzq1ULUrKun0mVjrwvsEh0Mz3h+k5avNrhvXQxEz1iF9OqtsqeL6ZukamXtTzKX3Zmw8CCCAAAIIIIAAAggg4L4AoYj7dtREAAEEEEAAAQQQQCDdh+kXcpQqUdS6LPuvXfs0ZMzHMnd1pDwmIBja92Hrwu4LLwU3ZaZ+8Z2GvTkl9fgns5PBXMj94y+bVTwyQnfXu9m6jN3sHOn0QCOrWXPM1itjp2r7zr3Wr3+eP8764D/theMZtZ3RMprL1vsOfS/dmIf06aLmjWpZxVNCkVkTh+jyS6Iu+iak7IpIe9F42sIXhiJm14XZyTJ24izrGKqUx4Qk5hL0lFAk7aXq8xb9qOcGj7PmWyB/0p0iFx6fZYxNX+brKe2agMlc+h5RuKBVxwQc5riz6V99n9qvud/EHKnVqG7NDNfJ7KB5/IU3LPuUxxz91atLS1WuWC7D8aaYfPbeQFWrUsm6cyblYnXThglfPvj0a+tuFXP/innMDp3+vdqn3pnCtx4CCCCAAAIIIIAAAgi4J0Ao4p4btRBAAAEEEEAAAQQQcFnAHHl1+OgJ6/ijlAvBXW4kucL+Q0dVr1Vvvf7yY6r/vxvSNWMCDXNZeP6wvO42n1rv+IlT+ufUaZUtXVy5Q0Ntt+dsA+ZoMWOVmCgVK1o49XgqZ+tfrJw53mrvgSMKL5isvmjtAAAGEElEQVTfajejxxxFdujwcYWF5XX6qCpzLNjBw8dUqnhR5c2bx9YwU3akmHtXzG4VT62lrUFRGQEEEEAAAQQQQACBHCJAKJJDFpJpIIAAAggggAACCORsAXP3xeZtO3RZpSg5HA59Pu8HxcXHy3xwbo7m4sk5Ahe70D3nzJCZIIAAAggggAACCCDgOwFCEd/Z0zMCCCCAAAIIIIAAAk4LLF6xVh/PWKh9B46oSOFw6/6K7u2bqGTxIk63QcHAEDBHf61as1Fjh/YKjAEzSgQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsChCLu21ETAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAkiAUCSAFouhIoAAAggggAACCCCAAAIIIIAAAggggAACCCCAgPsC/wfEzDuxYXFZ6AAAAABJRU5ErkJggg==", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the scatterplot without the influential points\n", "import plotly.express as px\n", "fig_without_outliers = px.scatter(customersWithCategorical, x=\"Length of Membership\", y=\"Yearly Amount Spent\",trendline=\"ols\")\n", "\n", "# Update the marker size, add a black outline, and set the marker shape to square\n", "fig_without_outliers.update_traces(marker=dict(symbol=\"circle\", \n", " size=4, # Set marker size\n", " line=dict(width=2, color='black') # Black outline\n", " ))\n", "\n", "# Update the trendline color to red\n", "fig_without_outliers.update_traces(line=dict(color='red'))\n", "fig_without_outliers.show() #plot sactter plot between \"Length of Membership\",\"Yearly Amount Spent\"" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "Time on Website=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "", "line": { "color": "orange" }, "marker": { "color": "#636efa", "line": { "color": "black", "width": 2 }, "size": 4, "symbol": "circle" }, "mode": "markers", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 37.15762409, 33.91384725, 37.95201319, 37.069366585, 37.63575588, 37.069366585, 37.4311591, 35.56543624, 35.90729843, 37.14209369, 37.32981863, 37.42676892, 36.9663889, 37.52319665, 37.069366585, 36.57513378, 37.7636904, 37.3741835, 34.47687763, 38.31564796, 37.79223754, 36.39368386, 36.22604169, 35.53914243, 35.72182733, 36.43064962, 36.83865679, 36.89729461, 37.069366585, 37.82739423, 37.99702801, 37.63529941, 36.77312349, 37.87095205, 38.7756653, 37.1905038, 36.51708576, 36.28872395, 37.5366533, 38.18776368, 37.19419105, 37.05891282, 36.15719115, 36.95964319, 38.00182747, 37.33544589, 37.83397173, 35.9990993, 37.76668677, 35.96566746, 37.67502073, 37.14286198, 36.04545942, 36.98504142, 35.69417499, 39.57766802, 35.62658733, 37.32784804, 37.29204471, 35.94639915, 37.53453024, 35.42933439, 36.08964366, 36.76860309, 36.72128268, 39.67259096, 37.02715036, 35.03785616, 38.26035344, 34.64980005, 36.08693433, 37.67321037, 36.53409567, 35.00748226, 37.95780983, 36.63610412, 36.3602472, 36.45689841, 36.4179848, 36.1446667, 38.94882503, 36.09722093, 37.54052036, 37.02347924, 37.74560774, 38.16643556, 37.53449734, 35.4598628, 37.34126616, 37.30536188, 36.90022076, 36.46200326, 36.32365247, 36.77601658, 37.6504002, 37.64583879, 37.28139283, 38.41946853, 37.22939452, 35.90025278, 35.77311639, 37.24032955, 38.38195597, 38.85604171, 37.38718053, 37.02226899, 38.40137369, 37.39649748, 37.71777057, 36.81385766, 37.27781174, 37.97982686, 37.48704925, 35.35844431, 37.24503247, 38.33257633, 35.76932963, 38.95246252, 37.65861691, 37.37335886, 39.13109673, 37.1280395, 38.50300885, 36.05964598, 36.71413784, 36.04620352, 37.27122169, 36.88808605, 37.95194632, 36.95161668, 37.07361617, 36.88214908, 36.33780003, 35.89243163, 36.72527683, 38.63362565, 37.67232248, 36.59911235, 37.33310742, 37.80697767, 37.09326487, 36.37827101, 38.65509454, 36.60077705, 35.78392374, 38.57360523, 36.86218335, 36.37147981, 38.91874854, 35.67425603, 37.96439033, 36.18253928, 38.3113649, 38.76429717, 37.33359061, 36.29889308, 37.03153922, 37.03427958, 37.60779252, 36.15725594, 38.19748325, 37.10881638, 35.57484167, 37.53429101, 37.6269068, 38.57651555, 36.88119241, 37.90601452, 37.23984661, 37.7446997, 35.29308775, 36.59436168, 34.89198327, 37.19026771, 36.22355746, 37.30596142, 35.62253059, 38.30447119, 35.55077227, 35.4442647, 39.22071295, 36.09424195, 37.19279353, 38.46832111, 37.08792607, 38.768641, 36.68377615, 37.76304108, 36.80837606, 38.06341359, 39.25293095, 37.7436197, 36.77260376, 36.84473382, 35.99048895, 37.95968432, 36.63465233, 36.05024078, 36.35523488, 37.57016384, 37.38794554, 36.6338567, 36.65520808, 37.66110668, 35.63395395, 39.09462703, 37.25803146, 35.18912244, 37.55088041, 37.63731096, 37.96597162, 36.97937237, 36.81293413, 37.68487728, 38.61733445, 35.12882235, 37.05261631, 35.36862633, 39.07440021, 36.49399255, 38.3099079, 36.40774745, 37.06168877, 36.51734612, 36.54759628, 36.51838359, 38.44276669, 35.49396408, 36.1050005, 36.67822227, 37.23880567, 36.19975347, 37.26387556, 37.31770495, 35.26149812, 38.58585476, 38.42286529, 36.84149164, 37.37011822, 37.49669015, 37.63300942, 35.96889569, 36.77386137, 37.81915511, 36.83153585, 35.86244708, 38.92408705, 35.77101619, 36.16364817, 35.84582711, 35.53602453, 35.73870747, 36.81401056, 38.13171203, 35.89035796, 36.54966799, 36.57503098, 36.07455114, 36.15246209, 37.67924462, 36.7290294, 37.07679516, 37.71598618, 37.22580613, 37.0716432, 36.2620318, 37.86144726, 38.87804051, 37.0443614, 36.94612578, 36.93615938, 38.0669296, 39.60037647, 38.21257083, 35.82346667, 36.68836654, 36.87502581, 36.16604163, 37.11059744, 37.15192066, 35.63211222, 37.85177917, 36.66579137, 35.77778217, 37.0646212, 37.86921694, 38.23894085, 37.68546549, 35.25224202, 36.01231723, 37.40874848, 36.1553362, 36.67387836, 36.10091445, 37.92270381, 36.58272777, 37.33866962, 36.54860515, 37.19842782, 36.70105232, 36.82275323, 36.90818962, 38.23260623, 38.73086174, 38.26906069, 37.68028761, 36.14579171, 37.72236711, 37.38831487, 37.1531516, 37.45837473, 37.33224075, 36.91463331, 37.07437107, 37.78903635, 36.61119878, 37.64780806, 36.1891318, 36.98591348, 36.81909551, 37.64629179, 35.97765171, 36.62077386, 36.61995708, 38.86023443, 36.37506611, 38.03910939, 37.7773658, 37.14600653, 36.99529017, 35.90772143, 38.55103029, 37.27757338, 36.58443762, 38.83567008, 35.7305524, 37.33281446, 38.7170763, 37.23200331, 35.88399439, 36.8745436, 37.6056528, 37.97738874, 36.21376309, 37.49189221, 36.683393, 38.2747022, 37.32533422, 34.48718475, 36.65127792, 34.89409275, 36.84008573, 36.17312563, 37.41413357, 38.24411459, 37.25305774, 34.81063145, 39.08156475, 40.00518164, 35.9334493, 37.8752191, 36.59937399, 36.94795369, 36.11243501, 35.62244242, 38.11045691, 36.31272657, 35.66993517, 39.24096484, 35.92159519, 36.2650007, 37.68387537, 36.04898625, 36.16646339, 36.62883429, 35.93804523, 37.03951365, 39.2488039, 36.37750903, 37.84065508, 37.26687826, 37.02687697, 37.069366585, 37.36839124, 37.42899737, 37.32728269, 36.87831537, 37.72438616, 36.9539597, 35.7661535, 36.83936583, 36.36684325, 38.73400629, 37.95148946, 36.30854529, 37.90913872, 36.49440648, 36.19083324, 36.32214092, 39.06886445, 37.52642103, 37.08831936, 36.67395274, 37.14516822, 38.30720401, 36.13389429, 36.54550623, 38.41504158, 36.59928909, 37.27863979, 37.93518905, 36.95155521, 35.45679815, 36.87631323, 37.73852495, 37.30968877, 38.04031367, 37.57883524, 36.9711951, 37.12234521, 37.58019043, 37.44102134, 38.04345265, 38.00658318, 36.5944567, 34.57402759, 37.69230086, 38.25297827, 35.5338635, 35.56917032, 37.34573893, 38.07445242, 38.50588333, 37.68933698, 38.68258378, 37.42021558, 37.68040323, 37.19936753, 37.42527868, 37.42454792, 38.38513659, 35.9389625, 36.1704942, 36.60950715, 37.83544773, 35.97457811, 38.1265198, 39.0451557, 36.85388246, 36.90937821, 37.21115258, 34.84561239, 37.18144731, 34.89782769, 38.6887091, 36.92976156, 37.26895887, 37.38531755, 34.7797505, 36.25781912, 38.35495987, 36.95696543, 38.29572526, 37.4534051, 36.91495155, 35.71626916, 37.03479129, 37.71250864, 36.85481082, 37.06708997, 37.37276215, 35.67572763, 37.48091198, 38.29611037, 36.5446641, 36.0586476, 38.07066426, 35.01280603, 35.74277913, 37.10203133, 39.29404346, 36.76572236, 37.78114256, 36.59586795, 37.13312676, 36.31576315, 37.80550943, 35.90675637, 36.35250277, 35.46240008, 36.93988205, 35.97656497, 38.79123469, 36.92504304, 36.14390846 ], "xaxis": "x", "y": [ 765.5184619, 744.2218671, 712.3963268, 708.9351849, 700.9170916, 689.2356998, 684.163431, 669.9871405, 666.1255917, 663.8036933, 663.0748176, 662.9610878, 657.0199239, 647.6194557, 642.1015787, 640.7861664, 640.5840619, 640.18774, 637.1024479, 632.1235881, 630.4227632, 630.1567282, 628.0478039, 627.6033187, 626.0186727, 619.8956399, 618.8459704, 616.660286, 614.7296376, 614.7153338, 613.5993234, 612.3852299, 611.0000251, 610.1280331, 608.2718166, 605.0610388, 604.8413188, 604.3348401, 599.406092, 597.7398789, 596.516698, 596.4301726, 595.8228367, 595.8038189, 594.2744834, 593.915003, 593.1564015, 593.0772413, 592.6884532, 591.7810894, 591.4377356, 591.1971782, 590.5627196, 589.0264898, 588.7126055, 587.951054, 587.5747995, 586.1558702, 585.9318443, 584.2183135, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 581.3089329, 578.9862586, 578.2416051, 577.7360249, 577.273455, 576.8025474, 576.4776072, 576.3111774, 576.0252441, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 573.3062223, 571.4710341, 571.3074949, 571.2160048, 570.6300981, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.8746577, 561.516532, 560.5601606, 560.4437922, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.6082621, 557.5292736, 557.2526867, 556.2981412, 556.1863689, 555.8925954, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.6201455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.8605905, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.3401663, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 538.7749335, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452, 499.1401524, 498.6355985, 497.81193, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.9334463, 496.6507081, 496.5540816, 495.2994425, 495.1759504, 494.6871558, 494.6386098, 494.5518611, 493.719193, 493.1812614, 493.1802162, 492.9450531, 492.6060127, 492.5568337, 492.1050524, 491.9115051, 491.0732237, 490.7386321, 490.6004425, 490.2066, 489.9080531, 489.812488, 488.7860611, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.5475049, 487.379306, 486.9470538, 486.8389348, 486.1637991, 486.0834255, 485.9231305, 484.8769649, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.8853913, 478.7193569, 478.6009159, 478.584286, 478.2621264, 478.1830597, 478.1703341, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.7250679, 475.2634237, 475.0716299, 475.0154071, 474.5323294, 473.9498574, 473.7289665, 473.3604956, 472.9922467, 471.6028844, 470.4527333, 469.3831462, 469.3108615, 468.9135013, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 465.1766233, 463.923513, 463.7459811, 463.591418, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.4418601, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409, 25006.67058 ], "yaxis": "y" }, { "hovertemplate": "OLS trendline
Yearly Amount Spent = -46.1159 * Time on Website + 2256.84
R2=0.001760

Time on Website=%{x}
Yearly Amount Spent=%{y} (trend)", "legendgroup": "", "line": { "color": "orange" }, "marker": { "color": "#636efa", "line": { "color": "black", "width": 2 }, "size": 4, "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scatter", "x": [ 33.91384725, 34.47687763, 34.48718475, 34.57402759, 34.64980005, 34.7797505, 34.81063145, 34.84561239, 34.89198327, 34.89409275, 34.89782769, 35.00748226, 35.01280603, 35.03785616, 35.12882235, 35.18912244, 35.25224202, 35.26149812, 35.29308775, 35.35844431, 35.36862633, 35.42933439, 35.4442647, 35.45679815, 35.4598628, 35.46240008, 35.49396408, 35.5338635, 35.53602453, 35.53914243, 35.55077227, 35.56543624, 35.56917032, 35.57484167, 35.62244242, 35.62253059, 35.62658733, 35.63211222, 35.63395395, 35.66993517, 35.67425603, 35.67572763, 35.69417499, 35.71626916, 35.72182733, 35.7305524, 35.73870747, 35.74277913, 35.7661535, 35.76932963, 35.77101619, 35.77311639, 35.77778217, 35.78392374, 35.82346667, 35.84582711, 35.86244708, 35.88399439, 35.89035796, 35.89243163, 35.90025278, 35.90675637, 35.90729843, 35.90772143, 35.92159519, 35.9334493, 35.93804523, 35.9389625, 35.94639915, 35.96566746, 35.96889569, 35.97457811, 35.97656497, 35.97765171, 35.99048895, 35.9990993, 36.01231723, 36.04545942, 36.04620352, 36.04898625, 36.05024078, 36.0586476, 36.05964598, 36.07455114, 36.08693433, 36.08964366, 36.09424195, 36.09722093, 36.10091445, 36.1050005, 36.11243501, 36.13389429, 36.14390846, 36.1446667, 36.14579171, 36.15246209, 36.1553362, 36.15719115, 36.15725594, 36.16364817, 36.16604163, 36.16646339, 36.1704942, 36.17312563, 36.18253928, 36.1891318, 36.19083324, 36.19975347, 36.21376309, 36.22355746, 36.22604169, 36.25781912, 36.2620318, 36.2650007, 36.28872395, 36.29889308, 36.30854529, 36.31272657, 36.31576315, 36.32214092, 36.32365247, 36.33780003, 36.35250277, 36.35523488, 36.3602472, 36.36684325, 36.37147981, 36.37506611, 36.37750903, 36.37827101, 36.39368386, 36.40774745, 36.4179848, 36.43064962, 36.45689841, 36.46200326, 36.49399255, 36.49440648, 36.51708576, 36.51734612, 36.51838359, 36.53409567, 36.5446641, 36.54550623, 36.54759628, 36.54860515, 36.54966799, 36.57503098, 36.57513378, 36.58272777, 36.58443762, 36.59436168, 36.5944567, 36.59586795, 36.59911235, 36.59928909, 36.59937399, 36.60077705, 36.60950715, 36.61119878, 36.61995708, 36.62077386, 36.62883429, 36.6338567, 36.63465233, 36.63610412, 36.65127792, 36.65520808, 36.66579137, 36.67387836, 36.67395274, 36.67822227, 36.683393, 36.68377615, 36.68836654, 36.70105232, 36.71413784, 36.72128268, 36.72527683, 36.7290294, 36.76572236, 36.76860309, 36.77260376, 36.77312349, 36.77386137, 36.77601658, 36.80837606, 36.81293413, 36.81385766, 36.81401056, 36.81909551, 36.82275323, 36.83153585, 36.83865679, 36.83936583, 36.84008573, 36.84149164, 36.84473382, 36.85388246, 36.85481082, 36.86218335, 36.8745436, 36.87502581, 36.87631323, 36.87831537, 36.88119241, 36.88214908, 36.88808605, 36.89729461, 36.90022076, 36.90818962, 36.90937821, 36.91463331, 36.91495155, 36.92504304, 36.92976156, 36.93615938, 36.93988205, 36.94612578, 36.94795369, 36.95155521, 36.95161668, 36.9539597, 36.95696543, 36.95964319, 36.9663889, 36.9711951, 36.97937237, 36.98504142, 36.98591348, 36.99529017, 37.02226899, 37.02347924, 37.02687697, 37.02715036, 37.03153922, 37.03427958, 37.03479129, 37.03951365, 37.0443614, 37.05261631, 37.05891282, 37.06168877, 37.0646212, 37.06708997, 37.069366585, 37.069366585, 37.069366585, 37.069366585, 37.069366585, 37.0716432, 37.07361617, 37.07437107, 37.07679516, 37.08792607, 37.08831936, 37.09326487, 37.10203133, 37.10881638, 37.11059744, 37.12234521, 37.1280395, 37.13312676, 37.14209369, 37.14286198, 37.14516822, 37.14600653, 37.15192066, 37.1531516, 37.15762409, 37.18144731, 37.19026771, 37.1905038, 37.19279353, 37.19419105, 37.19842782, 37.19936753, 37.21115258, 37.22580613, 37.22939452, 37.23200331, 37.23880567, 37.23984661, 37.24032955, 37.24503247, 37.25305774, 37.25803146, 37.26387556, 37.26687826, 37.26895887, 37.27122169, 37.27757338, 37.27781174, 37.27863979, 37.28139283, 37.29204471, 37.30536188, 37.30596142, 37.30968877, 37.31770495, 37.32533422, 37.32728269, 37.32784804, 37.32981863, 37.33224075, 37.33281446, 37.33310742, 37.33359061, 37.33544589, 37.33866962, 37.34126616, 37.34573893, 37.36839124, 37.37011822, 37.37276215, 37.37335886, 37.3741835, 37.38531755, 37.38718053, 37.38794554, 37.38831487, 37.39649748, 37.40874848, 37.41413357, 37.42021558, 37.42454792, 37.42527868, 37.42676892, 37.42899737, 37.4311591, 37.44102134, 37.4534051, 37.45837473, 37.48091198, 37.48704925, 37.49189221, 37.49669015, 37.52319665, 37.52642103, 37.53429101, 37.53449734, 37.53453024, 37.5366533, 37.54052036, 37.55088041, 37.57016384, 37.57883524, 37.58019043, 37.6056528, 37.60779252, 37.6269068, 37.63300942, 37.63529941, 37.63575588, 37.63731096, 37.64583879, 37.64629179, 37.64780806, 37.6504002, 37.65861691, 37.66110668, 37.67232248, 37.67321037, 37.67502073, 37.67924462, 37.68028761, 37.68040323, 37.68387537, 37.68487728, 37.68546549, 37.68933698, 37.69230086, 37.71250864, 37.71598618, 37.71777057, 37.72236711, 37.72438616, 37.73852495, 37.7436197, 37.7446997, 37.74560774, 37.76304108, 37.7636904, 37.76668677, 37.7773658, 37.78114256, 37.78903635, 37.79223754, 37.80550943, 37.80697767, 37.81915511, 37.82739423, 37.83397173, 37.83544773, 37.84065508, 37.85177917, 37.86144726, 37.86921694, 37.87095205, 37.8752191, 37.90601452, 37.90913872, 37.92270381, 37.93518905, 37.95148946, 37.95194632, 37.95201319, 37.95780983, 37.95968432, 37.96439033, 37.96597162, 37.97738874, 37.97982686, 37.99702801, 38.00182747, 38.00658318, 38.03910939, 38.04031367, 38.04345265, 38.06341359, 38.0669296, 38.07066426, 38.07445242, 38.11045691, 38.1265198, 38.13171203, 38.16643556, 38.18776368, 38.19748325, 38.21257083, 38.23260623, 38.23894085, 38.24411459, 38.25297827, 38.26035344, 38.26906069, 38.2747022, 38.29572526, 38.29611037, 38.30447119, 38.30720401, 38.3099079, 38.3113649, 38.31564796, 38.33257633, 38.35495987, 38.38195597, 38.38513659, 38.40137369, 38.41504158, 38.41946853, 38.42286529, 38.44276669, 38.46832111, 38.50300885, 38.50588333, 38.55103029, 38.57360523, 38.57651555, 38.58585476, 38.61733445, 38.63362565, 38.65509454, 38.68258378, 38.6887091, 38.7170763, 38.73086174, 38.73400629, 38.76429717, 38.768641, 38.7756653, 38.79123469, 38.83567008, 38.85604171, 38.86023443, 38.87804051, 38.91874854, 38.92408705, 38.94882503, 38.95246252, 39.0451557, 39.06886445, 39.07440021, 39.08156475, 39.09462703, 39.13109673, 39.22071295, 39.24096484, 39.2488039, 39.25293095, 39.29404346, 39.57766802, 39.60037647, 39.67259096, 40.00518164 ], "xaxis": "x", "y": [ 692.8769548232775, 666.9123222548687, 666.437000508219, 662.4321678883571, 658.9378554096867, 652.9450780992521, 651.5209764013766, 649.9078001212663, 647.7693669143872, 647.6720864210852, 647.4998464350917, 642.4430311714162, 642.1975209168388, 641.0423125225053, 636.8473280538196, 634.0665372895771, 631.155723307262, 630.728870256248, 629.2720871677014, 626.2581129193929, 625.7885602673601, 622.9889556139824, 622.3004314649261, 621.7224405862376, 621.581111602887, 621.4641027428621, 620.0085016039162, 618.1685053678468, 618.0688476017433, 617.925062948622, 617.3887428260213, 616.7125011762474, 616.5403008498972, 616.2787616432263, 614.0836119183913, 614.0795458826411, 613.8924658115344, 613.6376807343403, 613.5527477636894, 611.8934427068945, 611.6941825137242, 611.6263184079053, 610.7756024585151, 609.7567107142471, 609.5003909010911, 609.0980267574661, 608.7219486564591, 608.5341805366579, 607.456251262987, 607.309781283091, 607.2320041110945, 607.1351515730126, 606.9199850959477, 606.6367612875929, 604.8132048959673, 603.7820338805276, 603.0155896002954, 602.0219167775473, 601.7284552473303, 601.6328261631271, 601.2721470715077, 600.9722283979798, 600.9472308326086, 600.9277238220338, 600.2879233893428, 599.7412608618687, 599.5293155779212, 599.4870148791275, 599.1440673373097, 598.2554925691699, 598.1066199527468, 597.8445702434584, 597.75294447743, 597.702828523123, 597.1108281060365, 596.7137543743573, 596.104198108912, 594.5758173741773, 594.5415025595946, 594.4131745606915, 594.3553208255232, 593.9676330556933, 593.9215918991512, 593.2342275640805, 592.6631660551529, 592.5382229606851, 592.3261688432982, 592.1887906060373, 592.0184607391409, 591.8300290120532, 591.4871801581849, 590.4975669149658, 590.0357548107459, 590.0007879178426, 589.9489071094115, 589.6412967708864, 589.5087547043087, 589.4232120819322, 589.4202242350881, 589.125441024202, 589.0150645477725, 588.9956147208698, 588.8097304341229, 588.6883797654796, 588.2542611600544, 587.9502414027194, 587.8717780266626, 587.4604139109722, 586.8143481769649, 586.3626723397052, 586.2481099262784, 584.7826662784272, 584.5883948994506, 584.4514815101014, 583.3574633337138, 582.8885051151708, 582.443385109172, 582.2505617683324, 582.1105272572913, 581.8164108818023, 581.7467044472069, 581.0942774908863, 580.4162479290552, 580.2902543152002, 580.0591068465405, 579.7549243002047, 579.5411053286934, 579.3757200047609, 579.263062637686, 579.2279232714505, 578.5171463732623, 577.8685917660621, 577.3964875232606, 576.8124384034867, 575.6019527673201, 575.3665381977423, 573.8913244428926, 573.8722357032068, 572.8263611056121, 572.8143543791981, 572.7665105535225, 572.0419344052773, 571.5545621221423, 571.5157265693879, 571.4193421073281, 571.3728171953699, 571.3238034102184, 570.154167206598, 570.1494264957538, 569.7992230838561, 569.720371873381, 569.2627152696881, 569.2583333402677, 569.1932523268557, 569.0436340169078, 569.0354834990616, 569.0315682621875, 568.9668649377036, 568.5642688312812, 568.4862578518528, 568.082361278059, 568.0446947624631, 567.6729810668479, 567.4413682891183, 567.4046771240512, 567.3377265735029, 566.637973672662, 566.4567309476512, 565.9686733827735, 565.595734849804, 565.592304751822, 565.3954116859632, 565.1569590032491, 565.1392897098648, 564.9275999078053, 564.3425841995165, 563.7391341356558, 563.4096436641823, 563.2254499850188, 563.0523969763387, 561.3602694143282, 561.2274220607293, 561.0429277061305, 561.0189599080078, 560.9849319341009, 560.8855425623271, 559.3932571756934, 559.183057838366, 559.1404684542626, 559.1334173386198, 558.8989204747406, 558.7302415557841, 558.3252234441716, 557.9968351418535, 557.9641371494713, 557.9309383388031, 557.8661035841061, 557.7165876513767, 557.2946902111345, 557.2518780874066, 556.9118874948035, 556.3418838838018, 556.3196463529058, 556.2602758669626, 556.1679454505284, 556.0352682644688, 555.991150600624, 555.717362098093, 555.292701395265, 555.1577594591122, 554.7902685931858, 554.7354557381061, 554.4931122599261, 554.4784363472896, 554.0130585644464, 553.7954599367013, 553.5004189381343, 553.3287447937951, 553.040809788749, 552.956514139342, 552.7904269319556, 552.7875921897806, 552.6795417975436, 552.5409299609145, 552.4174427442806, 552.1063584977024, 551.8847164309805, 551.5076145577874, 551.2461814176041, 551.205965617033, 550.7735514539504, 549.529399853411, 549.4735881287116, 549.3168988732996, 549.3042912571742, 549.1018951852355, 548.9755211155001, 548.9519231666087, 548.7341474539451, 548.5105892730643, 548.1299069641714, 547.8395379638104, 547.7115226304668, 547.5762910866868, 547.4624416245211, 547.3574535562491, 547.3574535562491, 547.3574535562491, 547.3574535562491, 547.3574535562491, 547.2524654879769, 547.1614802713025, 547.126667405386, 547.0148784000345, 546.5015668655806, 546.4834299573328, 546.2553634895636, 545.8510906103172, 545.5381921656397, 545.4560570444722, 544.9142984780017, 544.6517013734049, 544.4170979818791, 544.0035802553283, 543.9681498979897, 543.8617956472393, 543.8231362570863, 543.5504010408946, 543.493635178964, 543.2873824372988, 542.1887540579626, 541.7819936889993, 541.7711061946103, 541.6655133167785, 541.6010654741826, 541.4056831640365, 541.3623476252492, 540.81886985936, 540.1431087368909, 539.9776270308024, 539.8573204253254, 539.5436237150379, 539.4956198673133, 539.4733486718362, 539.2564694515735, 538.886377189745, 538.6570097934456, 538.3875040712265, 538.2490319656662, 538.1530828373649, 538.04873093744, 537.7558172636903, 537.7448250862897, 537.7066388449036, 537.5796800260097, 537.0884593740038, 536.4743265701912, 536.4466782649432, 536.2747882983596, 535.9051152297372, 535.5532848501488, 535.4634294721486, 535.437357868299, 535.3464824073818, 535.2347842502832, 535.2083271178084, 535.1948170142201, 535.1725342897766, 535.086976449165, 534.9383113541312, 534.8185696679911, 534.6123040138838, 533.5676731611478, 533.4880319859185, 533.3661048689722, 533.33858707162, 533.3005580853313, 532.7871017470635, 532.7011888142973, 532.6659097169935, 532.6488777448526, 532.2715296129444, 531.7065641601112, 531.4582260807384, 531.1777489332577, 530.9779593299656, 530.9442597010121, 530.8755359954835, 530.7727690978127, 530.6730790506037, 530.2182733296382, 529.6471855346682, 529.4180067522532, 528.378681990857, 528.0956564807184, 527.8723191948269, 527.651058045144, 526.4286878896036, 526.2799928192578, 525.9170618899878, 525.9075468037186, 525.9060295917849, 525.8081228450467, 525.6297900310694, 525.1520273717255, 524.2627553317182, 523.862866226527, 523.8003704684642, 522.6261512702553, 522.5274762332187, 521.646004691648, 521.3645770962053, 521.2589722282488, 521.2379217196983, 521.1662078615321, 520.7729396109702, 520.7520491244684, 520.6821250229934, 520.5625862466563, 520.1836655637775, 520.0688476684626, 519.5516213582932, 519.510675543591, 519.4271892276012, 519.2324008897865, 519.1843025045404, 519.1789705883165, 519.018849851446, 518.9726459059029, 518.9455200933971, 518.7669829861413, 518.6303010984306, 517.6984018593109, 517.5380320967736, 517.4557434097783, 517.2437699951536, 517.1506597594549, 516.4986372392638, 516.2636884399147, 516.2138833065333, 516.1720082571667, 515.3680547164354, 515.3381107634655, 515.1999305713257, 514.7074578736056, 514.5332893221695, 514.1692603741716, 514.0216347307176, 513.409590053238, 513.3418808967227, 512.7803077268634, 512.4003535874665, 512.0970264904124, 512.0289594747908, 511.7888180291284, 511.27582100486836, 510.8299686789454, 510.4716631708587, 510.39164707365313, 510.1948683751376, 508.77471096713106, 508.63063578406496, 508.00506993518945, 507.4293023023162, 506.6775948076613, 506.6565263139235, 506.6534425460814, 506.38612548277956, 506.2996817564159, 506.0826600381327, 506.009737483165, 505.48322712720596, 505.37079111627935, 504.5775452180668, 504.3562139722701, 504.13690029553413, 502.63692601085535, 502.5813895978654, 502.4366328223261, 501.5161168231358, 501.3539729833011, 501.18174590974974, 501.0070516374614, 499.3466734645055, 498.6059194099257, 498.3664752361303, 496.7651696406348, 495.78160495416955, 495.3333785835556, 494.6376017925297, 493.71365200608795, 493.42152553014114, 493.1829340386756, 492.77417777510794, 492.4340654366234, 492.03252307769907, 491.7723599684172, 490.8028633874982, 490.78510370701963, 490.3995372669448, 490.273510910826, 490.14881868665975, 490.0816278724585, 489.88411085895666, 489.103444446192, 488.07120815428834, 486.82625967161505, 486.67958263148836, 485.9307947321987, 485.30048817247905, 485.09633554727117, 484.93969102424757, 484.0219207636144, 482.843456600102, 481.2438014913873, 481.1112423619398, 479.02925128362426, 477.98818841530476, 477.85397649328263, 477.423290752792, 475.97157764235993, 475.2202948748148, 474.2302384581404, 472.9625483981744, 472.68007397261357, 471.37189602847724, 470.73616854891594, 470.5911549080125, 469.1942647981508, 468.99394532357877, 468.6700136583812, 467.95201778280455, 465.902841370008, 464.96338604653226, 464.77003514020606, 463.9488923722373, 462.07160638718284, 461.8254163847666, 460.68460305745594, 460.5168570624332, 456.24223095735954, 455.1488814610034, 454.89359510436503, 454.5631961503661, 453.9608178191903, 452.27898608503017, 448.1462566495961, 447.21232323970486, 446.850818212957, 446.66049573543546, 444.76455680561253, 431.68496510085106, 430.63774530349633, 427.3075116863244, 411.9698050391673 ], "yaxis": "y" }, { "hovertemplate": "Length of Membership=%{x}
Yearly Amount Spent=%{y}", "legendgroup": "", "line": { "color": "red" }, "marker": { "color": "#636efa", "line": { "color": "black", "width": 2 }, "size": 4, "symbol": "circle" }, "mode": "markers", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 5.066696864, 4.968742674, 6.076653638, 5.493507201, 4.750360071, 3.634340224, 4.632460946, 4.125584363, 4.389455226, 4.446308318, 4.019051427, 3.864860739, 5.004820577, 4.350887844, 4.214495086, 4.330714462, 4.343062915, 4.082620633, 5.084861309, 4.008352235, 3.790552137, 4.000963586, 3.371258113, 3.120178783, 3.969417759, 4.055775962, 4.985204971, 4.806349619, 4.712233579, 3.292797663, 4.029453828, 3.792711955, 4.652854446, 3.746572973, 3.918541839, 4.297737482, 3.798725319, 3.854473856, 3.273433578, 4.541695257, 4.25698329, 4.158214653, 3.515688256, 4.113226123, 5.314354141, 4.746989703, 4.051382465, 4.478712608, 4.20590389, 4.543332413, 2.90900846, 4.729484542, 4.626075292, 4.595522709, 4.003325039, 4.087837273, 4.74257752, 3.784273087, 3.701622287, 4.001786346, 3.905250309, 4.183143662, 3.046540621, 4.520353377, 4.434273435, 4.662845304, 3.318822279, 3.97452248, 3.283663455, 3.488029991, 3.970555628, 4.64325855, 3.345922321, 4.571213024, 4.403369831, 3.416209978, 4.369366794, 4.470282584, 4.560396067, 3.130538462, 4.131276648, 3.229450904, 3.569046516, 4.531986607, 4.041244969, 3.275733705, 3.462298847, 3.310150347, 4.198349061, 4.222436225, 4.082855279, 4.13175504, 3.597459969, 5.113319475, 3.768561963, 3.843848921, 3.827375915, 4.301996499, 3.8515788, 3.47202138, 4.599937358, 4.396651901, 4.808320373, 3.689916615, 3.641497162, 4.671275461, 4.334001444, 4.773503047, 4.048510087, 5.047022551, 4.02210291, 2.871947536, 3.923488746, 3.89711586, 2.685284836, 3.576525915, 4.852842407, 2.935577274, 3.680847338, 3.78493211, 3.228717686, 3.137068975, 2.907094935, 4.789201624, 3.982471513, 2.87459691, 3.713209203, 3.649286158, 4.685017247, 4.778973636, 4.027813842, 4.081802695, 2.995761183, 3.678589399, 3.919302309, 3.634996006, 3.184618662, 4.72402744, 4.106055152, 3.997255378, 3.447017793, 3.834169667, 4.01872661, 4.193324636, 3.456233824, 3.6758488, 4.331863027, 3.60439856, 3.397363093, 4.349778419, 3.086337272, 4.137000388, 2.768851943, 4.129254688, 3.447092896, 3.163091931, 4.116340467, 3.481062133, 3.90447938, 4.124585297, 3.911708668, 5.081210092, 3.873337569, 3.015175299, 3.802511439, 3.45175071, 2.957448757, 3.345570976, 4.243812817, 4.01598664, 3.917451119, 1.920715478, 2.941410754, 3.557813698, 3.373104674, 3.336339382, 4.03438613, 3.89289148, 3.3766875, 3.612239152, 3.467014066, 4.646119977, 4.717102513, 3.634093727, 2.964497876, 3.442799202, 3.549036057, 3.206756698, 2.735159567, 3.062368145, 2.926940235, 3.393902788, 3.471919137, 3.021671822, 3.63770128, 3.023474446, 3.781823039, 2.972271382, 2.633419989, 2.379076497, 2.969640227, 3.452388583, 3.656983927, 3.12650949, 3.531402303, 3.516051017, 4.089330841, 2.669941624, 3.535802468, 3.872432042, 3.620364988, 2.709526627, 3.506967574, 3.392050489, 3.701229217, 3.414688423, 3.222080767, 3.350279288, 2.724108202, 3.525806412, 3.202531199, 4.514122441, 3.363411394, 2.905238361, 2.753424169, 3.41450624, 2.479339823, 3.27946626, 4.086566338, 3.629339915, 3.308443001, 3.863425442, 2.804013693, 3.164943995, 2.223993458, 3.826030618, 3.561215271, 3.366463743, 3.25174177, 3.049195744, 2.494543647, 3.43959056, 3.195625776, 3.218265385, 3.781703565, 3.361612985, 1.810079876, 2.532044062, 3.993656513, 3.914384667, 3.803364999, 3.089527782, 3.159754444, 2.782757828, 2.64859677, 3.53712388, 3.357846842, 2.761861926, 3.859817999, 2.910037917, 3.361814624, 2.739200467, 2.367848224, 3.136132716, 2.336484668, 3.315224754, 2.473596121, 1.516575581, 3.182329732, 3.201801722, 2.436958876, 3.552649767, 3.855471685, 2.476139051, 3.958892264, 3.275070681, 2.258686387, 3.471413452, 2.966558885, 2.018194629, 3.755869389, 3.532517165, 1.823595183, 2.602287112, 2.571777835, 2.139403004, 2.562818811, 2.837943164, 3.0130325, 3.811248171, 3.178952405, 2.727209454, 2.952668958, 3.236732814, 4.078308002, 3.504833486, 2.974736815, 3.5786339, 2.361086947, 1.36267408, 2.910530822, 3.393975043, 2.402453833, 1.726962043, 2.245147787, 3.050712973, 2.117382542, 2.566639844, 2.491671541, 3.205529765, 3.189609942, 1.482359644, 2.924020725, 3.620354589, 1.785173945, 3.202806072, 2.652158305, 2.313349885, 3.261324745, 3.54354705, 3.02267576, 3.519032434, 2.190132185, 1.825884669, 3.072076141, 3.806670949, 2.721735992, 2.789461516, 3.002957023, 2.926396449, 2.267251114, 2.307552421, 2.586967985, 1.55915194, 4.238296188, 3.401522345, 3.198399272, 2.931619535, 2.594189721, 3.107468683, 3.09182687, 2.39907979, 3.215666827, 3.428859904, 2.847709026, 2.412830961, 2.094761669, 4.046423164, 2.779520719, 2.829699575, 2.086348147, 1.767730708, 2.420806161, 2.895075163, 2.783963128, 2.87098691, 2.208813678, 2.627624971, 1.820810618, 3.434559723, 1.623419609, 2.47175067, 2.32055025, 3.287701824, 3.535088428, 3.128638856, 3.088763958, 3.491093337, 2.664034182, 2.877224878, 2.57494847, 2.39516813, 3.108911449, 2.668919773, 1.13047696, 2.094891706, 2.868428182, 2.159676023, 2.214797519, 3.004742536, 2.18201697, 1.494310895, 2.699562055, 1.809229592, 1.715777167, 1.200483857, 1.139093538, 3.53286158, 2.61816531, 0.968622116, 2.921350141, 1.503854421, 1.443515075, 1.847370423, 1.914089924, 1.977007128, 1.707389729, 2.083814192, 0.26990109, 2.252445963, 0.936497597, 1.838210702, 0.80151572, 1.481616627, 1.428823877, 1.084585303 ], "xaxis": "x2", "y": [ 712.3963268, 666.1255917, 657.0199239, 637.1024479, 632.1235881, 626.0186727, 612.3852299, 611.0000251, 604.3348401, 599.406092, 597.7398789, 595.8038189, 593.0772413, 592.6884532, 591.1971782, 590.5627196, 588.7126055, 587.951054, 586.1558702, 584.105885, 583.977802, 583.0796357, 582.4919237, 581.852344, 581.7987977, 578.9862586, 577.7360249, 577.273455, 576.4776072, 576.3111774, 574.7472197, 574.6548434, 574.4156896, 573.8474377, 573.4158673, 571.4710341, 571.3074949, 570.4517259, 570.200409, 568.7175759, 567.4750105, 565.9943634, 564.790969, 563.6728734, 563.4460357, 562.0820454, 561.516532, 560.5601606, 559.199048, 558.9481124, 558.4272572, 557.634109, 557.2526867, 556.1863689, 555.0683941, 554.900783, 554.7220838, 554.0030934, 553.9946736, 553.6015347, 552.9403455, 551.0230017, 550.8133677, 550.0475806, 549.9041461, 549.1315733, 549.0082269, 548.5185293, 548.2803202, 547.7099886, 547.3651406, 547.2443434, 547.1907494, 547.1259317, 547.1109824, 546.5566669, 545.9454921, 544.7798637, 544.4092722, 543.1326263, 542.7115581, 542.4124767, 541.9722038, 541.226584, 541.049831, 540.9957391, 540.2634004, 538.9419745, 537.9157529, 537.8461953, 537.8252823, 537.7731625, 537.2150527, 536.7718994, 536.4231045, 536.1308969, 535.4807752, 535.3216101, 534.7771881, 534.7714849, 534.7057438, 533.5149353, 533.3965538, 533.0400602, 532.9352188, 532.7517876, 532.7248055, 532.7174857, 532.1274491, 531.9615505, 530.7667187, 530.3624689, 529.5376653, 529.2300901, 529.0566632, 529.0490041, 528.9336186, 528.4193297, 528.309225, 528.2238094, 527.7837898, 527.7829958, 524.7976276, 524.6379646, 523.6339351, 522.4041413, 522.3374046, 521.8835732, 521.5721748, 521.2407802, 521.1953105, 521.1429518, 520.8987945, 519.3729768, 519.3409891, 518.7864831, 518.064558, 517.1651356, 516.8315567, 515.8288149, 515.5024797, 514.3365583, 514.2395207, 514.0889577, 514.0098178, 513.4505712, 513.1531119, 512.8253581, 512.5525344, 512.1658664, 511.97986, 511.0387861, 510.6617922, 510.5394217, 510.5014785, 510.4013885, 510.1598173, 508.7719067, 508.735741, 507.4418323, 507.3900618, 507.212569, 506.5473071, 506.5363931, 506.42386, 506.3758668, 506.1323424, 505.7711403, 505.2300683, 505.1196375, 505.1133435, 504.8704324, 503.9783791, 503.3878873, 503.2173931, 503.1750852, 502.7710746, 502.4097853, 502.1327892, 502.0925279, 501.9282649, 501.8744303, 501.7492333, 501.2091727, 501.1224915, 501.1002452, 499.1401524, 498.6355985, 497.7786422, 497.5866713, 497.5136833, 497.3895578, 496.6507081, 495.2994425, 495.1759504, 494.6871558, 494.5518611, 493.719193, 493.1802162, 492.5568337, 492.1050524, 490.7386321, 490.6004425, 488.3875258, 488.270298, 487.6462317, 487.5554581, 487.379306, 486.1637991, 486.0834255, 485.9231305, 484.5198091, 483.7965221, 483.673308, 483.5431939, 483.1597208, 482.8309859, 482.6024673, 482.3535703, 482.1449969, 479.7319491, 479.7319376, 479.6148117, 479.2474168, 479.2310929, 479.1728515, 478.9514048, 478.584286, 478.2621264, 478.1830597, 476.7667242, 476.1914133, 476.1392469, 475.7590678, 475.0716299, 475.0154071, 474.5323294, 473.7289665, 472.9922467, 471.6028844, 470.4527333, 469.3108615, 468.6684656, 468.4457372, 467.8009244, 467.5019004, 467.4278485, 466.4211988, 465.8893127, 463.923513, 463.7459811, 463.4849954, 462.8976362, 462.6565189, 461.9208769, 461.7909591, 461.7807422, 461.6282784, 461.1122484, 460.0612774, 459.2851235, 458.7811317, 458.3769107, 457.8476959, 456.4695101, 453.1695024, 452.627255, 452.3156755, 452.1226251, 451.7278633, 451.6286105, 451.5756852, 451.4574469, 449.0703194, 448.9332932, 448.340425, 448.2298292, 447.6879065, 447.3690272, 447.1876443, 446.4186734, 445.7498412, 445.0621855, 444.9665517, 444.582165, 444.5761441, 444.5455497, 444.2859075, 444.0538266, 443.9656268, 443.197221, 442.7228916, 442.6672517, 442.3631174, 442.0644138, 441.8966315, 440.0027475, 439.9978799, 439.8912805, 439.0747667, 438.417742, 438.3037078, 436.7205559, 436.5807403, 436.5156057, 436.2834981, 434.144202, 434.0216998, 433.0487691, 432.7207178, 432.4811686, 432.4720613, 431.6177338, 430.5888826, 427.3565308, 427.1993849, 426.775216, 426.1545477, 425.745092, 424.7626355, 424.7287739, 424.675281, 424.2028271, 424.1854943, 423.4705332, 423.3083341, 423.1799917, 422.4267759, 422.3687366, 421.9667942, 421.3266313, 420.9161595, 420.7376732, 419.9387748, 418.6027421, 418.1500811, 416.3583536, 414.9350607, 413.3717831, 413.2959992, 412.0129313, 411.1869636, 410.6029439, 410.0696111, 409.0945262, 409.0704721, 408.9583359, 408.6403511, 408.6201878, 408.2169018, 407.8763782, 407.8040306, 407.7045475, 407.6571788, 407.542168, 404.8245289, 403.8195198, 403.7669021, 402.1671222, 401.0331352, 399.9838716, 398.1634685, 397.4205841, 393.857371, 392.9922559, 392.810345, 392.4973992, 392.2852442, 392.2049334, 390.103273, 388.9405488, 387.5347163, 387.3570727, 385.152338, 385.0950071, 384.6265716, 384.3260571, 382.4161079, 378.4735664, 378.3309069, 376.4968407, 376.3369008, 375.3984554, 374.2696745, 373.8857237, 368.6547849, 357.8637186, 357.8579836, 357.7831107, 357.5914394, 356.6155679, 352.5501082, 350.0582002, 347.7769266, 338.3198626, 330.594446, 327.3779526, 319.9288698, 314.4385183, 308.5277466, 304.1355916, 302.1895478, 298.7620079, 282.4712457, 275.9184207, 266.0863409 ], "yaxis": "y2" }, { "hovertemplate": "OLS trendline
Yearly Amount Spent = 59.046 * Length of Membership + 285.688
R2=0.578982

Length of Membership=%{x}
Yearly Amount Spent=%{y} (trend)", "legendgroup": "", "line": { "color": "red" }, "marker": { "color": "#636efa", "line": { "color": "black", "width": 2 }, "size": 4, "symbol": "circle" }, "mode": "lines", "name": "", "showlegend": false, "type": "scatter", "x": [ 0.26990109, 0.80151572, 0.936497597, 0.968622116, 1.084585303, 1.13047696, 1.139093538, 1.200483857, 1.36267408, 1.428823877, 1.443515075, 1.481616627, 1.482359644, 1.494310895, 1.503854421, 1.516575581, 1.55915194, 1.623419609, 1.707389729, 1.715777167, 1.726962043, 1.767730708, 1.785173945, 1.809229592, 1.810079876, 1.820810618, 1.823595183, 1.825884669, 1.838210702, 1.847370423, 1.914089924, 1.920715478, 1.977007128, 2.018194629, 2.083814192, 2.086348147, 2.094761669, 2.094891706, 2.117382542, 2.139403004, 2.159676023, 2.18201697, 2.190132185, 2.208813678, 2.214797519, 2.223993458, 2.245147787, 2.252445963, 2.258686387, 2.267251114, 2.307552421, 2.313349885, 2.32055025, 2.336484668, 2.361086947, 2.367848224, 2.379076497, 2.39516813, 2.39907979, 2.402453833, 2.412830961, 2.420806161, 2.436958876, 2.47175067, 2.473596121, 2.476139051, 2.479339823, 2.491671541, 2.494543647, 2.532044062, 2.562818811, 2.566639844, 2.571777835, 2.57494847, 2.586967985, 2.594189721, 2.602287112, 2.61816531, 2.627624971, 2.633419989, 2.64859677, 2.652158305, 2.664034182, 2.668919773, 2.669941624, 2.685284836, 2.699562055, 2.709526627, 2.721735992, 2.724108202, 2.727209454, 2.735159567, 2.739200467, 2.753424169, 2.761861926, 2.768851943, 2.779520719, 2.782757828, 2.783963128, 2.789461516, 2.804013693, 2.829699575, 2.837943164, 2.847709026, 2.868428182, 2.87098691, 2.871947536, 2.87459691, 2.877224878, 2.895075163, 2.905238361, 2.907094935, 2.90900846, 2.910037917, 2.910530822, 2.921350141, 2.924020725, 2.926396449, 2.926940235, 2.931619535, 2.935577274, 2.941410754, 2.952668958, 2.957448757, 2.964497876, 2.966558885, 2.969640227, 2.972271382, 2.974736815, 2.995761183, 3.002957023, 3.004742536, 3.0130325, 3.015175299, 3.021671822, 3.02267576, 3.023474446, 3.046540621, 3.049195744, 3.050712973, 3.062368145, 3.072076141, 3.086337272, 3.088763958, 3.089527782, 3.09182687, 3.107468683, 3.108911449, 3.120178783, 3.12650949, 3.128638856, 3.130538462, 3.136132716, 3.137068975, 3.159754444, 3.163091931, 3.164943995, 3.178952405, 3.182329732, 3.184618662, 3.189609942, 3.195625776, 3.198399272, 3.201801722, 3.202531199, 3.202806072, 3.205529765, 3.206756698, 3.215666827, 3.218265385, 3.222080767, 3.228717686, 3.229450904, 3.236732814, 3.25174177, 3.261324745, 3.273433578, 3.275070681, 3.275733705, 3.27946626, 3.283663455, 3.287701824, 3.292797663, 3.308443001, 3.310150347, 3.315224754, 3.318822279, 3.336339382, 3.345570976, 3.345922321, 3.350279288, 3.357846842, 3.361612985, 3.361814624, 3.363411394, 3.366463743, 3.371258113, 3.373104674, 3.3766875, 3.392050489, 3.393902788, 3.393975043, 3.397363093, 3.401522345, 3.41450624, 3.414688423, 3.416209978, 3.428859904, 3.434559723, 3.43959056, 3.442799202, 3.447017793, 3.447092896, 3.45175071, 3.452388583, 3.456233824, 3.462298847, 3.467014066, 3.471413452, 3.471919137, 3.47202138, 3.481062133, 3.488029991, 3.491093337, 3.504833486, 3.506967574, 3.515688256, 3.516051017, 3.519032434, 3.525806412, 3.531402303, 3.532517165, 3.53286158, 3.535088428, 3.535802468, 3.53712388, 3.54354705, 3.549036057, 3.552649767, 3.557813698, 3.561215271, 3.569046516, 3.576525915, 3.5786339, 3.597459969, 3.60439856, 3.612239152, 3.620354589, 3.620364988, 3.629339915, 3.634093727, 3.634340224, 3.634996006, 3.63770128, 3.641497162, 3.649286158, 3.656983927, 3.6758488, 3.678589399, 3.680847338, 3.689916615, 3.701229217, 3.701622287, 3.713209203, 3.746572973, 3.755869389, 3.768561963, 3.781703565, 3.781823039, 3.784273087, 3.78493211, 3.790552137, 3.792711955, 3.798725319, 3.802511439, 3.803364999, 3.806670949, 3.811248171, 3.826030618, 3.827375915, 3.834169667, 3.843848921, 3.8515788, 3.854473856, 3.855471685, 3.859817999, 3.863425442, 3.864860739, 3.872432042, 3.873337569, 3.89289148, 3.89711586, 3.90447938, 3.905250309, 3.911708668, 3.914384667, 3.917451119, 3.918541839, 3.919302309, 3.923488746, 3.958892264, 3.969417759, 3.970555628, 3.97452248, 3.982471513, 3.993656513, 3.997255378, 4.000963586, 4.001786346, 4.003325039, 4.008352235, 4.01598664, 4.01872661, 4.019051427, 4.02210291, 4.027813842, 4.029453828, 4.03438613, 4.041244969, 4.046423164, 4.048510087, 4.051382465, 4.055775962, 4.078308002, 4.081802695, 4.082620633, 4.082855279, 4.086566338, 4.087837273, 4.089330841, 4.106055152, 4.113226123, 4.116340467, 4.124585297, 4.125584363, 4.129254688, 4.131276648, 4.13175504, 4.137000388, 4.158214653, 4.183143662, 4.193324636, 4.198349061, 4.20590389, 4.214495086, 4.222436225, 4.238296188, 4.243812817, 4.25698329, 4.297737482, 4.301996499, 4.330714462, 4.331863027, 4.334001444, 4.343062915, 4.349778419, 4.350887844, 4.369366794, 4.389455226, 4.396651901, 4.403369831, 4.434273435, 4.446308318, 4.470282584, 4.478712608, 4.514122441, 4.520353377, 4.531986607, 4.541695257, 4.543332413, 4.560396067, 4.571213024, 4.595522709, 4.599937358, 4.626075292, 4.632460946, 4.64325855, 4.646119977, 4.652854446, 4.662845304, 4.671275461, 4.685017247, 4.712233579, 4.717102513, 4.72402744, 4.729484542, 4.74257752, 4.746989703, 4.750360071, 4.773503047, 4.778973636, 4.789201624, 4.806349619, 4.808320373, 4.852842407, 4.968742674, 4.985204971, 5.004820577, 5.047022551, 5.066696864, 5.081210092, 5.084861309, 5.113319475, 5.314354141, 5.493507201, 6.076653638 ], "xaxis": "x2", "y": [ 301.62448329255744, 333.01421994364, 340.98436473009707, 342.88119023968227, 349.7283567692231, 352.43807720658543, 352.9468519825045, 356.5717069763107, 366.14839674376566, 370.0542800475275, 370.92173705545247, 373.1714826715156, 373.21535488014405, 373.9210288785082, 374.4845362595273, 375.23567033252357, 377.74963556439076, 381.54438667026034, 386.5024894097576, 386.99773437695734, 387.65815696938114, 390.06538503600945, 391.09533903816396, 392.5157296400957, 392.5659355398819, 393.19954331973304, 393.3639608453339, 393.49914591841275, 394.2269493082904, 394.76779452541206, 398.7073165921423, 399.0985292930184, 402.42232809282734, 404.8542867650449, 408.72886185288456, 408.8784818513705, 409.37526697537675, 409.3829451447772, 410.71093985986374, 412.0111608547509, 413.2082022671221, 414.52734663089893, 415.00651790900486, 416.1095860196756, 416.4629081115676, 417.0058918580258, 418.25497113250015, 418.68589949629114, 419.05437179727187, 419.56008497717136, 421.93971740644525, 422.28203467526106, 422.707187687212, 423.64805190817646, 425.1007189629309, 425.4999455689688, 426.1629305822226, 427.11307772575753, 427.34404574345217, 427.54326960833987, 428.1559978831704, 428.62690183052734, 429.58065562404124, 431.63497314964945, 431.7439397160746, 431.8940896527348, 432.0830825518959, 432.81122161848896, 432.9808080931388, 435.1950589521799, 437.01218589357575, 437.2378027461539, 437.54118074838385, 437.7283941771541, 438.4380988941287, 438.8645137789178, 439.34263262047574, 440.2801772732889, 440.8387327584879, 441.1809056006993, 442.0770343599871, 442.2873288842812, 442.98855234671794, 443.2770271294283, 443.33736338049545, 444.2433192306227, 445.0863324195559, 445.6747008979041, 446.39561550483836, 446.53568510221015, 446.71880173985545, 447.188224399304, 447.4268235267083, 448.2666767489258, 448.7648928536177, 449.1776256499604, 449.80757458313667, 449.99871303811267, 450.06988122546215, 450.39453924197585, 451.25378761091173, 452.7704371275565, 453.25718838150476, 453.83382382201324, 455.05720785580615, 455.20829060174515, 455.2650117592501, 455.42144679218035, 455.57661788566105, 456.63060645873094, 457.23070301505186, 457.3403263505369, 457.45331241682567, 457.5140977720436, 457.5432018584831, 458.1820397590767, 458.3397271584333, 458.48000424357605, 458.51211265137994, 458.78840676825064, 459.0220955682442, 459.3665394390973, 460.0312917592586, 460.3135199437145, 460.72974247888465, 460.85143689076625, 461.0333779218322, 461.1887371950301, 461.3343112410282, 462.5757168336009, 463.0006026622383, 463.1060301273498, 463.5955196412237, 463.7220434284005, 464.10563736018844, 464.1649159196104, 464.2120751620242, 465.5740413644927, 465.7308158530846, 465.82040221143853, 466.5085939184709, 467.0818126010526, 467.9238758573565, 468.0671620465926, 468.1122628260948, 468.2480148592126, 469.1716019147748, 469.2567915281403, 469.9220829386114, 470.2958860928722, 470.4216167146456, 470.5337809191575, 470.864099442971, 470.9193818257136, 472.2588688479505, 472.45593422594135, 472.56529126380343, 473.39243234681015, 473.5918501188805, 473.72700236236324, 474.0217176615863, 474.3769288133122, 474.5406927583391, 474.74159394397515, 474.7846666692744, 474.80089683036397, 474.96172010565346, 475.0341656359025, 475.560273434774, 475.71370798433213, 475.9389911677601, 476.33087492683677, 476.37416854335714, 476.8041364643244, 477.69035582259846, 478.25619251069696, 478.9711711015268, 479.067835544416, 479.10698448347614, 479.3273770608694, 479.57520478849096, 479.8136544703778, 480.11454356409274, 481.0383387569323, 481.13915077053747, 481.43877438960607, 481.6511939807405, 482.6855094774, 483.2305985102765, 483.2513440398412, 483.5086056707475, 483.95543973765956, 484.1778155533144, 484.18972153699394, 484.28400447610784, 484.4642335854482, 484.7473221296966, 484.85635423722186, 485.0679059106712, 485.975029514255, 486.08440042793563, 486.0886667992763, 486.28871772199204, 486.5343050658646, 487.3009525991639, 487.3117097831645, 487.4015515746707, 488.14847956232916, 488.4850312809469, 488.78208226422123, 488.9715398556867, 489.22063093229724, 489.22506546674884, 489.50009092048725, 489.5377547926926, 489.7648010317135, 490.12291659891065, 490.40133159035315, 490.6610978950662, 490.69095658984736, 490.6969936337196, 491.2308142620147, 491.6422386572428, 491.82311709584246, 492.6344184301504, 492.7604278673065, 493.27534957177096, 493.2967691708841, 493.47281002678955, 493.8727865765324, 494.20320175870705, 494.26902994064085, 494.2893662811751, 494.42085282864275, 494.4630140602822, 494.54103820097896, 494.92030092887853, 495.2444050345273, 495.45778028575654, 495.7626899421638, 495.9635393444262, 496.42594331965176, 496.8675721832487, 496.99204034172357, 498.10364509211416, 498.51334138700275, 498.9762972655281, 499.4554816518541, 499.4560956715838, 499.98602953550454, 500.2667232906195, 500.2812779613878, 500.3199992890543, 500.47973499540427, 500.70386678112766, 501.16377612037275, 501.6182988668797, 502.7321948396563, 502.8940163472326, 503.02733869500963, 503.56284355243935, 504.2308078588741, 504.2540170842964, 504.9381785450865, 506.9081769139939, 507.4570934290245, 508.20653961203186, 508.9824991185514, 508.98955358467214, 509.1342192074044, 509.173131903274, 509.5049722205767, 509.63250091224245, 509.98756622025905, 510.21112159857773, 510.26152093317825, 510.4567241763276, 510.7269909919221, 511.599835891598, 511.6792703468678, 512.0804144729291, 512.6519360543404, 513.1083547690674, 513.2792963502466, 513.3382141974337, 513.5948468109171, 513.8078520206379, 513.8926006191596, 514.339656049661, 514.3931238296212, 515.5477047650419, 515.7971376591556, 516.2319243271315, 516.2774446287204, 516.6587851275856, 516.8167922612278, 516.9978540968157, 517.0622567893452, 517.1071595284421, 517.354352038807, 519.4447894418217, 520.066278199895, 520.1334648539821, 520.3676917405029, 520.8370506302324, 521.4974805443646, 521.7099792571876, 521.9289342407391, 521.9775149574268, 522.0683686799002, 522.365204676557, 522.8159860300306, 522.97777039765, 522.9969495539683, 523.1771275294413, 523.5143354266586, 523.61117009927, 523.902402981374, 524.307390236789, 524.6131421258557, 524.7363666567177, 524.9059691918893, 525.1653877744956, 526.4958154224548, 526.7021631916018, 526.7504591883032, 526.7643141044974, 526.983437428298, 527.0584811022289, 527.146670372322, 528.1341746439045, 528.5575920566694, 528.7414817250198, 529.2283062550989, 529.2872971422328, 529.5040152847976, 529.6234040080143, 529.6516511593313, 529.9613681668624, 531.2139864245584, 532.685945590698, 533.2870917493572, 533.5837641294479, 534.0298468355501, 534.53712290498, 535.0060156853003, 535.9424836336445, 536.2682187089034, 537.0458829335321, 539.4522564268793, 539.7037344985466, 541.3994163794714, 541.4672345899609, 541.5934996374074, 542.1285435814791, 542.5250674733052, 542.5905746219405, 543.6816833713151, 544.8678256530148, 545.2927607850925, 545.6894279226022, 547.5141632409837, 548.2247753774417, 549.640360753907, 550.1381202556015, 552.2289305343344, 552.5968426065243, 553.2837387254318, 553.8569960241211, 553.9536635964503, 554.961204727072, 555.5999031609282, 557.0352936997867, 557.2959612241492, 558.8393026195193, 559.2163501763274, 559.8539058922464, 560.0228618142764, 560.4205055141778, 561.0104260766318, 561.5081934314491, 562.3195914241181, 563.9266079467606, 564.2140991996471, 564.622988689498, 564.9452089313639, 565.7182973834226, 565.9788193002599, 566.1778261709649, 567.5443271680542, 567.8673437638096, 568.4712659128114, 569.4837870451664, 569.600152257057, 572.2290018852746, 579.072453238222, 580.0444866216936, 581.2027104023134, 583.6945696839435, 584.8562598802065, 585.713208465081, 585.9287983559874, 587.6091402538633, 599.4794404062093, 610.0577184600612, 644.4902040491938 ], "yaxis": "y2" } ], "layout": { "autosize": true, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "fillpattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 33.5597546174411, 40.359274272558906 ], "type": "linear" }, "xaxis2": { "anchor": "y2", "autorange": true, "domain": [ 0, 1 ], "range": [ -0.06764864289841632, 6.4142033708984165 ], "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0.575, 1 ], "range": [ -2420.540348548807, 27693.29726944881 ], "type": "linear" }, "yaxis2": { "anchor": "x2", "autorange": true, "domain": [ 0, 0.425 ], "range": [ 217.62069803973745, 760.8619696602625 ], "type": "linear" } } }, "image/png": "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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from plotly.subplots import make_subplots\n", "\n", "figures = [\n", " fig_with_outliers,\n", " fig_without_outliers\n", " ]\n", "\n", "fig = make_subplots(rows=len(figures), cols=1)\n", "\n", "\n", "\n", "for i, figure in enumerate(figures):\n", " for trace in range(len(figure[\"data\"])):\n", " fig.append_trace(figure[\"data\"][trace], row=i+1, col=1)\n", " # Update the marker size, add a black outline, and set the marker shape to square\n", " fig.update_traces(marker=dict(symbol=\"circle\", \n", " size=4, # Set marker size\n", " line=dict(width=2, color='black') # Black outline\n", " ))\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "W_a7Dw-Z7B2C" }, "source": [ "\n", "## Multi-colinearity:\n", "- Multicollinearity in linear regression occurs when two or more independent variables are highly correlated, meaning they provide redundant information. This can make it difficult for the model to accurately estimate the relationship between each predictor and the dependent variable." ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "id": "uUFu6ZQAAaKL", "outputId": "051f19ad-2a5e-48e1-b118-c52a5cdea6f3" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGender
334.96761013.91949437.9520135.066697712.396327Female
1034.48238813.28303335.9072984.968743666.125592Female
1531.94539612.96576136.9663896.076654657.019924Female
2133.87103812.02692534.4768785.493507637.102448Male
2233.08529811.97540638.3156484.750360632.123588Female
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "3 34.967610 13.919494 37.952013 5.066697 \n", "10 34.482388 13.283033 35.907298 4.968743 \n", "15 31.945396 12.965761 36.966389 6.076654 \n", "21 33.871038 12.026925 34.476878 5.493507 \n", "22 33.085298 11.975406 38.315648 4.750360 \n", "\n", " Yearly Amount Spent Gender \n", "3 712.396327 Female \n", "10 666.125592 Female \n", "15 657.019924 Female \n", "21 637.102448 Male \n", "22 632.123588 Female " ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customersWithCategorical.head() #get snapshot of clean data" ] }, { "cell_type": "code", "execution_count": 61, "metadata": { "id": "npKZft017D6O" }, "outputs": [], "source": [ "from statsmodels.stats.outliers_influence import variance_inflation_factor #import VIF" ] }, { "cell_type": "code", "execution_count": 62, "metadata": { "id": "jCWbMitUAaKL" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipYearly Amount SpentGender_Male
334.96761013.91949437.9520135.066697712.3963270
1034.48238813.28303335.9072984.968743666.1255920
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "3 34.967610 13.919494 37.952013 5.066697 \n", "10 34.482388 13.283033 35.907298 4.968743 \n", "\n", " Yearly Amount Spent Gender_Male \n", "3 712.396327 0 \n", "10 666.125592 0 " ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers_dummified = pd.get_dummies(customersWithCategorical,drop_first=True,dtype='int16') #dummification\n", "customers_dummified.head(2)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
featureVIF
2Time on Website800.712066
0Avg. Session Length659.383767
1Time on App172.552616
3Length of Membership25.230582
4Gender_Male4.038365
\n", "
" ], "text/plain": [ " feature VIF\n", "2 Time on Website 800.712066\n", "0 Avg. Session Length 659.383767\n", "1 Time on App 172.552616\n", "3 Length of Membership 25.230582\n", "4 Gender_Male 4.038365" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# REMOVING MULTICOLINEARITY: REMOVING THE COLUMNS WITH HIGH VIF\n", "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", "import pandas as pd\n", "\n", "# Drop 'Yearly Amount Spent' column from the VIF calculation\n", "customers_dummified_excl_target = customers_dummified.drop(columns=['Yearly Amount Spent'])\n", "\n", "# Create an empty DataFrame to store VIF data\n", "vif_data = pd.DataFrame()\n", "vif_data[\"feature\"] = customers_dummified_excl_target.columns\n", "\n", "# Calculate VIF for each feature\n", "vif_data[\"VIF\"] = [variance_inflation_factor(customers_dummified_excl_target.values, i)\n", " for i in range(len(customers_dummified_excl_target.columns))]\n", "\n", "# Sort VIF data in descending order\n", "vif_data_sorted = vif_data.sort_values(by=\"VIF\", ascending=False)\n", "vif_data_sorted" ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "id": "ad0xVzQI7Vky", "outputId": "bde6e72d-41eb-42d1-b9b5-bdd7e8245df3" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sns.heatmap(customers_dummified_excl_target.corr(),annot=True,cmap='Greens') #plot correlation plot" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "id": "85NU7MeWAaKM" }, "outputs": [], "source": [ "# Drop highly correlated attributes\n", "customers_dummified_VIF=customers_dummified.drop([\"Avg. Session Length\",\"Time on Website\"],axis=1) " ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Time on AppLength of MembershipYearly Amount SpentGender_Male
313.9194945.066697712.3963270
1013.2830334.968743666.1255920
\n", "
" ], "text/plain": [ " Time on App Length of Membership Yearly Amount Spent Gender_Male\n", "3 13.919494 5.066697 712.396327 0\n", "10 13.283033 4.968743 666.125592 0" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "customers_dummified_VIF.head(2)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": { "id": "Z_Mu3kajAaKN", "outputId": "7ba0d564-5447-4435-8528-9ab58303bc9e" }, "outputs": [], "source": [ "import statsmodels.api as sm\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "X_VIF_numeric = customers_dummified_VIF.drop(['Yearly Amount Spent', 'Gender_Male'], axis=1) #Drop these columns (cannot standardize categorical 'gender_male' column)\n", "y_VIF = customers_dummified_VIF['Yearly Amount Spent']\n", "customers_dummified_gender_col = customers_dummified_VIF[['Gender_Male']]\n", "\n", "vars=['Time on App', 'Length of Membership']\n", "\n", "#Standardization\n", "scaler = StandardScaler()\n", "X_VIF_numeric[vars] = scaler.fit_transform(X_VIF_numeric[vars])\n", "X_VIF = pd.concat([X_VIF_numeric, customers_dummified_gender_col], axis=1)\n", "\n", "# ** Use model_selection.train_test_split from sklearn to split the data into training and testing sets. Set test_size=0.3 and random_state=101**\n", "\n", "## Spilit the data into Training and Testing Data\n", "X_train_VIF, X_test_VIF, y_train_VIF, y_test_VIF = train_test_split(X_VIF, y_VIF, test_size=0.2, random_state=101)\n", "X_train_VIF.shape, y_train_VIF.shape, X_test_VIF.shape, y_test_VIF.shape\n", "\n", "\n", "# adding the Constant term\n", "X_train_VIF = sm.add_constant(X_train_VIF)\n", "X_test_VIF = sm.add_constant(X_test_VIF)\n" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
constTime on AppLength of MembershipGender_Male
3521.00.2379640.0160931
1621.0-0.5937551.3957040
811.0-0.3540191.4546690
\n", "
" ], "text/plain": [ " const Time on App Length of Membership Gender_Male\n", "352 1.0 0.237964 0.016093 1\n", "162 1.0 -0.593755 1.395704 0\n", "81 1.0 -0.354019 1.454669 0" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train_VIF.head(3)" ] }, { "cell_type": "code", "execution_count": 69, "metadata": { "id": "IKiEia1yAaKN", "outputId": "7f57fa01-10ce-465c-c921-318ff08d365d" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " OLS Regression Results \n", "===============================================================================\n", "Dep. Variable: Yearly Amount Spent R-squared: 0.861\n", "Model: OLS Adj. R-squared: 0.860\n", "Method: Least Squares F-statistic: 662.1\n", "Date: Thu, 19 Sep 2024 Prob (F-statistic): 7.55e-137\n", "Time: 18:36:15 Log-Likelihood: -1517.6\n", "No. Observations: 324 AIC: 3043.\n", "Df Residuals: 320 BIC: 3058.\n", "Df Model: 3 \n", "Covariance Type: nonrobust \n", "========================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", "----------------------------------------------------------------------------------------\n", "const 502.3722 2.719 184.791 0.000 497.024 507.721\n", "Time on App 29.4532 1.643 17.928 0.000 26.221 32.685\n", "Length of Membership 45.0908 2.017 22.351 0.000 41.122 49.060\n", "Gender_Male -35.4997 4.181 -8.490 0.000 -43.726 -27.273\n", "==============================================================================\n", "Omnibus: 21.581 Durbin-Watson: 2.002\n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 28.050\n", "Skew: -0.520 Prob(JB): 8.11e-07\n", "Kurtosis: 3.998 Cond. No. 4.14\n", "==============================================================================\n", "\n", "Notes:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" ] } ], "source": [ "multiple_reg_VIF= sm.OLS(y_train_VIF, X_train_VIF).fit()\n", "print(multiple_reg_VIF.summary())#build regression model" ] }, { "cell_type": "code", "execution_count": 70, "metadata": { "id": "wATM3m9rAaKN", "outputId": "8ce53983-c38a-4fb7-cf92-d5eb1f2cd86f" }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAw8AAALaCAYAAAB3WG/+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAADFo0lEQVR4nOzdd1hTVwMG8DdsCBtkb0SGIiouVBQcuEfdu85K3btqbUVrpbVqtVqtbRXHZx111mpxgooTFZw4UQEFEWTvke8PNBgJGo2AkvfXJ8/TnJxz77kXCTn3PedGIBKJRCAiIiIiInoLparuABERERERfRo4eCAiIiIiIplw8EBERERERDLh4IGIiIiIiGTCwQMREREREcmEgwciIiIiIpIJBw9ERERERCQTDh6IiIiIiEgmHDwQEREREZFMOHggIiIiIiKZcPBARERERFTFTp48ia5du8LCwgICgQB79+59a5sTJ07A09MTGhoacHBwwG+//Vbh/eTggYiIiIioimVlZcHDwwOrVq2Sqf6DBw/QqVMneHt7IyIiAnPmzMHEiROxa9euCu2nQCQSiSp0D0REREREJDOBQIA9e/agR48e5db56quv8M8//yAqKkpc5u/vjytXruDs2bMV1jcmD0REREREFSAvLw/p6ekSj7y8vA+y7bNnz8LPz0+irH379rh48SIKCgo+yD6kUamwLRNVAkE7q6ruAr2w7bfAqu4CvZBdkF3VXaAXMgtyqroL9IKvVcuq7gK9oo5Bgyrbd2V+dpjXfBTmz58vWTZvHgICAuTedkJCAkxNTSXKTE1NUVhYiKSkJJibm8u9D2k4eCAiIiIiqgCzZ8/G1KlTJcrU1dU/2PYFAoHE85erEV4v/5A4eCAiIiIiqgDq6uofdLDwKjMzMyQkJEiUJSYmQkVFBUZGRhWyT4CDByIiIiJSJBV4Vb4yeXl5Yf/+/RJlhw8fRsOGDaGqqlph++WCaSIiIiKiKpaZmYnIyEhERkYCKLkVa2RkJGJiYgCUTIEaOnSouL6/vz8ePXqEqVOnIioqCuvXr8e6deswffr0Cu0nkwciIiIiUhwf6aXzixcvwtfXV/z85VqJzz//HBs2bEB8fLx4IAEA9vb2OHjwIKZMmYJff/0VFhYW+OWXX9CrV68K7ScHD0REREREVczHxwdv+vq1DRs2lClr1aoVLl++XIG9KouDByIiIiJSHNVkzUNV+UiDGyIiIiIi+tgweSAiIiIixcHgQS5MHoiIiIiISCZMHoiIiIhIcXDNg1yYPBARERERkUyYPBARERGR4uClc7nw9BERERERkUyYPBARERGR4uCaB7kweSAiIiIiIpkweSAiIiIixcHgQS5MHoiIiIiISCZMHoiIiIhIcSgxepAHkwciIiIiIpIJkwciIiIiUhwMHuTC5IGIiIiIiGTCwQMREREREcmE05aIiIiISHHwS+LkwuSBiIiIiIhkwuSBiIiIiBQHgwe5MHkgIiIiIiKZMHkgIiIiIsXBL4mTC5MHIiIiIiKSCZMHIiIiIlIcDB7kwuSBiIiIiIhkwuSBiIiIiBQHv+dBLkweiIiIiIhIJkweiIiIiEhx8G5LcmHyQEREREREMmHyQERERESKg8GDXJg8EBERERGRTJg8EBEREZHi4N2W5MLkgYiIiIiIZMLkgYiIiIgUB4MHuTB5ICIiIiIimXDwQEREREREMuG0JSIiIiJSHPySOLkweSAiIiIiIpkweSAiIiIixcHgQS5MHoiIiIiISCYcPFQBHx8fTJ48uaq7UWUePnwIgUCAyMjIqu4KERERKRqBoPIe1VCVTFs6c+YMvL290a5dOwQHB1dFF7Br1y4sXrwYt27dQnFxMWxsbNChQwcsXbq0wve9e/duqKqqVug+Hj58CHt7e0RERKBevXoVuq83GTZsGFJTU7F3794q68PHyNu9CWb08YdnLXdYGJmhx7yR2HfmUFV365MnEokQsuUkLgVHICczF1bOFugytiNMbGu8sd2NsCgc33wCz+NTYGhugDaf+8CtmYv49eP/O4HQv05JtNE2EGLmlikAgKLCIhzbFIo74feQkpAKDaE6HOrZo93w1tA10vnwB/qREYlECNt2FlcOXUNuVi7Ma5nDb0xr1LAxfmO7W2fu4NSWM0hNSIO+mR5aDm4OZy8niTqXD0bi/J6LyEzJgrGNEdqO9IF1bSup2wtefQSRh66hzUgfNOrWAACQk5GDU1vP4mHEI6QnZUBLVxNOTRzhPag5NITqH+YEfOSuBV/H5X8ikZ2SDUNrA3gPaw4LN4ty6z++8QRhG0/jeWwKhAZaaNC9Puq0ry217p2wuzi8/CjsG9mh81cdxeX5Ofk4v+0Cos8/QHZ6DmrYGcN7RAuY1jT54MdX3YhEIuz4cxeO7DuGrIwsOLnVxKgZw2HjYF1um3MhF7B7417Exz1FUWERzK3N0HVgZ/h09K7EnpOiqJLkYf369ZgwYQLCwsIQExNT6fs/evQo+vfvj969e+PChQu4dOkSvv/+e+Tn51fK/g0NDaGjU/0/UFD5hBpauBJ9E+NXfVPVXalWwnaexdk959H5yw4Ys3wEtA20sfHrLcjLziu3TUxUHP7+YTc8Wrtj7K+j4dHaHTsCdyP21mOJeia2NTDjf5PFj3GrvxC/VpBXgCf3EuAzwBtfrhyF/nN7I/nxc/w1f0eFHevH5PzucITvu4x2Y1rj8yWDoK0vxPZvdyEvu/z31Me3nmDfTwdQx9cNI1YMQR1fN+z76QCe3I4X14k6dRtH14WiWZ8mGP7zYFi7WWLHgj1Ie5ZeZnt3zt3DkzsJ0DYUSpRnPs9C5vNM+A5viZG/DEWnSe0RHfEQ/608/OFOwEfs7ul7OLXhNBr2bIB+P/WBhas59i86gIxnGVLrpz9Nx/5FB2Dhao5+P/WBZ88GOBkUhnvn7pet+ywDpzedhYWreZnXjq8JReyVOLSd2AYDlvaDtYc19i3Yj8zkzA9+jNXN3s37sX/rQYyaNhw/rv8e+kb6WDBxEXKycspto62rjV7DPkPgHwuw7H8/wrdLK/y68DdEnLtSiT3/hChV4qMaqvTDysrKwo4dO/Dll1+iS5cu2LBhg/g1Ly8vzJo1S6L+s2fPoKqqipCQEABAfHw8OnfuDE1NTdjb2+Ovv/6CnZ0dli9fLnMf/v33X7Ro0QIzZsyAs7MzatWqhR49emDlypUS9fbv3w9PT09oaGjAwcEB8+fPR2Fhofj1gIAA2NjYQF1dHRYWFpg4caL4tdWrV8PJyQkaGhowNTVF7969xa+9Pm0pJSUFQ4cOhYGBAbS0tNCxY0fcvXtX/PqGDRugr6+PQ4cOwdXVFdra2ujQoQPi40v/yL4rkUiExYsXw8HBAZqamvDw8MDOnTvFr4eGhkIgEODYsWNo2LAhtLS00KxZM9y+fVtiOwsXLoSJiQl0dHQwatQozJo1S5x0BAQEYOPGjdi3bx8EAgEEAgFCQ0PFbaOjo+Hr6wstLS14eHjg7Nmz7308n5rg8BB8s+En7An7r6q7Um2IRCKc3XsBLfu3gFtzF5jamaDntG4oyCvA1dDr5bY7t/cCHOo7oGW/5qhhbYyW/ZrDoZ4dzu07L1FPSVkJOoba4odQr/RDqoZQA8MWDUKdlm4wtjKCtYsVOn/ZHk/uxSM1Ma3CjvljIBKJEL4/As36NIazlxNq2Bqj8+T2KMgvxM2Tt8ptF/7PZdjXs4VX78YwsjKEV+/GsK1rjfD9l8V1Luy7BI+2deDh5w5jayO0HeULXWMdRPwn+YEoIzkDR34/jq5TO0JJRVnitRq2xug5qxucGjvCwFwfdnVt0GpwC9wLj0ZxUfGHPRkfocj9V+DW2gW127rB0MoA3sNbQNtIG9cO35Ba//rhG9Ax1ob38BYwtDJA7bZucPV1QcQ/kue8uKgYR1YcRZN+jaBrqivxWmFeIe6fi0azIV6wdLOAvrleST0THVwvZ79UQiQS4d/t/6HXsB5o6tsYNo7WmPDtl8jLzcepw6fLbVfH0w1NfBrByt4SZlam6NKvI2wdbXDryu1y2xC9r0ofPGzfvh3Ozs5wdnbG4MGDERQUBJFIBAAYNGgQtm7dKn7+sr6pqSlatWoFABg6dCiePHmC0NBQ7Nq1C7///jsSExPfqQ9mZma4ceMGrl8v/wPFoUOHMHjwYEycOBE3b97E2rVrsWHDBnz//fcAgJ07d+Lnn3/G2rVrcffuXezduxfu7u4AgIsXL2LixIlYsGABbt++jeDgYLRs2bLcfQ0bNgwXL17EP//8g7Nnz0IkEqFTp04oKCgQ18nOzsaSJUuwefNmnDx5EjExMZg+ffo7Hfer5s6di6CgIKxZswY3btzAlClTMHjwYJw4cUKi3tdff42lS5fi4sWLUFFRwYgRI8SvbdmyBd9//z1+/PFHXLp0CTY2NlizZo349enTp6Nv377igU58fDyaNWsmse3p06cjMjIStWrVwoABAyQGZ0TvIiUhFZkpmajZwEFcpqKqAjt3W8RGxZXbLvZWnEQbAKjZwBExNyXbJD9+jp8GL8ey4Sux44fdeB6f8sb+5GblQiAANLQ13uNoPh1pT9OQlZIFu/p24jIVVRVY17bC41tPym335HY87OrZSpTZ17cTtykqKELC/adl6tjVs5XYrqhYhP0/B6PxZw3fOk3qpbysPKhpqUFJuZpeFnyhqKAIidHPYO0hOd3F2sMaCbcTpLZJuPO0TH2betZ4dv8ZigqLxGXhOy9CU1cTbm1cy2yjuLgYomIRlFUlB3LKaip4EiV9v1Ti6ZNEpCanwqOJu7hMVU0Vteu74va1OzJtQyQS4Wr4dTyJiYdbPZe3N1BEXPMgl0pf87Bu3ToMHjwYANChQwdkZmbi2LFjaNu2Lfr164cpU6YgLCwM3t4l8/T++usvDBw4EEpKSrh16xaOHj2K8PBwNGzYEADw559/wsnJqdz9STNhwgScOnUK7u7usLW1RdOmTeHn54dBgwZBXb1kDuz333+PWbNm4fPPPwcAODg44LvvvsPMmTMxb948xMTEwMzMDG3btoWqqipsbGzQuHFjAEBMTAyEQiG6dOkCHR0d2Nraon79+lL7cvfuXfzzzz84ffq0+IP1li1bYG1tjb1796JPnz4AgIKCAvz2229wdHQEAIwfPx4LFix4p+N+KSsrC8uWLcPx48fh5eUlPr6wsDCsXbtWPFB7eR5ePp81axY6d+6M3NxcaGhoYOXKlRg5ciSGDx8OAPj2229x+PBhZGaWxNLa2trQ1NREXl4ezMzMyvRj+vTp6Ny5MwBg/vz5qF27Nu7duwcXF77Z0bvLTCn5dyfUl5y2ItQXvvHqf2ZKJrRfa6OtL0RmSpb4uZWzJXpO6wZjSyNkpmbixLYw/Dl9A8avGQMtXa0y2yzIL8SRoBC4+9SBhlb1nlefmZINABDqSZ4Hob4W0hPLTi8St0vNglC/bJusF9vLTs+BqFgk5edZWgcAzu0Oh5KyEhp2kf4e+7qc9Byc3nEO9dvXlan+pywnIxeiYhG0XvvZaOlpIjs1W2qbrNRs2OhpvlZfC8VFxcjNyIXQQIj4W/G4eewW+i/pI3UbappqMKtlivCdl2BgZQAtPU3cPX0PT+8+hb653oc5uGoqNbnkvUrfUPI86Rnq4VlC0hvbZmVm44uuY1GQXwglZSWMnjEcHk2q/79zqnyVOni4ffs2Lly4gN27d5fsXEUF/fr1w/r169G2bVvUqFED7dq1w5YtW+Dt7Y0HDx7g7Nmz4qvZt2/fhoqKCho0aCDeZs2aNWFgYPBO/RAKhThw4ADu37+PkJAQnDt3DtOmTcOKFStw9uxZaGlp4dKlSwgPDxcnDQBQVFSE3NxcZGdno0+fPli+fDkcHBzQoUMHdOrUCV27doWKigratWsHW1tb8WsdOnTAZ599Bi2tsh8yoqKioKKigiZNmojLjIyM4OzsjKioKHGZlpaWeOAAAObm5u+cuLx08+ZN5Obmol27dhLl+fn5ZQY5deuWvvGYm5fMa01MTISNjQ1u376NsWPHStRv3Lgxjh8/LlM/ytt2eYOHvLw85OW9Nne9WMRvilRQV0KuYf/Kg+Lng+b3ByDlQo9I9PaLP6+9LoJkm1qNaor/3xQmsHa1wvKRvyLi6FU079lUom1RYRH+/mE3RCIRuozriOrmRmgUgtccFT/v800PANLP+9vupS54vZEIZdqU3W5pnYR7T3Fx/2UMWza47LakyMvOw9/f7YGxtRGa92/61vrVhtRT84bzJfWkl7TJz8nH4V+OobV/K2jqar7eUqzdxDY4tjoEG77YBIGSADUcaqBWCyc8e/DmD8CK5mRwGNb++Kf4+ZylMwFI+914+/uYppYGlmz6Abk5ubgWfh0bVvwPphamqOPp9qG7/enjxwa5VOrgYd26dSgsLISlpaW4TCQSQVVVFSkpKTAwMMCgQYMwadIkrFy5En/99Rdq164NDw8PcV1pyit/G0dHRzg6OmLUqFH4+uuvUatWLWzfvh3Dhw9HcXEx5s+fj549e5Zpp6GhAWtra9y+fRtHjhzB0aNHMXbsWPz00084ceIEdHR0cPnyZYSGhuLw4cP49ttvERAQgPDwcOjr68vUd5FIJPHm8frdmQQCwXsfd3FxyTzfAwcOSPwsAIiTF2n7fdmfl+1fLXu137J627ZfFxgYiPnz50sW2usAjrrSG1C15tKkFqycS//9FhWUTKnITMmCjmHpDQmy0rLLJAuv0jbQlkgZgJKrr69f8X6VmoYaTGxN8PzJc4nyosIi7AjcjZSnqRgeOLhapg41GztihHNpklj48rynZkPbUFtcnpWW88Zz+Hq6U9ImW5xGaOlqQqAkeGOd2JuPkZWWjdWj/hC/LioW4XjQCYTvv4yxf4wSl+dl52NHwG6oaqih5+xuUH5tbUR1pKmjAYGSoEzKkJ2WAy196R/8hfpaUusrKStBQ0cdz2NTkJGYgX9/KF2v9fJ9/9e+v2HwLwOgZ6YHPTM99FzQAwW5BcjPyYfQQIjgZYeha8KbhbyqkbcnnGqXXpx4OV05JTkVBsalF0bTUtLLpBGvU1JSgrl1ye+mfS07xD18gt2b9nHwQB9cpQ0eCgsLsWnTJixduhR+fn4Sr/Xq1QtbtmzB+PHj0aNHD4wZMwbBwcH466+/MGTIEHE9FxcXFBYWIiIiAp6engCAe/fuITU1Ve7+2dnZQUtLC1lZJX+oGjRogNu3b6NmzZrlttHU1ES3bt3QrVs3jBs3Di4uLrh27RoaNGgAFRUVtG3bFm3btsW8efOgr6+P48ePlxmMuLm5obCwEOfPnxdPW0pOTsadO3fg6lp2LumH4ObmBnV1dcTExEhMUXpXzs7OuHDhgsTP6OLFixJ11NTUUFRU9HrT9zJ79mxMnTpVokzvs4o5R/TxU9dSh/orH85FIhG0DbRx73I0zB1L/oAWFhTh4bVHaDe8dbnbsXaxwv2IaDT7rDT9u3c5GjZu0m8HWrLdQiTFJsG2Tunc8JcDh+QnzzH8h8FSpzNVB+paalDXUhM/F4lEEBoI8TDyEcwcSm7DWVRQhNgbcfAZWv5tIi2czfHwyiM07u4pLnsY+QiWLiW3EFVWVYaZoykeXomRuH3rw8hHcGpSksLW8XGFnYeNxHa3B+xCHR83uLcpvbVoXnYetgfshrKqMnrP7Q4VtSq5S3mlU1ZVholDDcRejYNjk9J1PbFX42DfyE5qG7Napnhw6ZFEWeyVWNRwrAFlFWUYWOpjwLK+Eq+f23oBBTkF8B7RHNpG2hKvqWqoQlVDFbmZeYiJjEWzIV4f5uCqCU2hJjSFpQM5kUgEfSN9XL1wDQ7O9gCAgoJC3IiIwpBxA95p2yKIUJhf8PaKiqiarkWoLJX2Dvrvv/8iJSUFI0eOhJ6e5Oi5d+/eWLduHcaPHw+hUIju3bvjm2++QVRUFAYOHCiu5+LigrZt2+KLL77AmjVroKqqimnTpkFTU1PiCvjQoUNhaWmJwMBAqX0JCAhAdnY2OnXqBFtbW6SmpuKXX35BQUGBeCrPt99+iy5dusDa2hp9+vSBkpISrl69imvXrmHhwoXYsGEDioqK0KRJE2hpaWHz5s3Q1NSEra0t/v33X0RHR6Nly5YwMDDAwYMHUVxcDGdn5zJ9cXJyQvfu3TF69GisXbsWOjo6mDVrFiwtLdG9e3e5z/vrd0cCSgYP06dPx5QpU1BcXIwWLVogPT0dZ86cgba2tnidx9tMmDABo0ePRsOGDdGsWTNs374dV69ehYND6R8pOzs7HDp0CLdv34aRkVGZn/27UFdXL5OMfKpTloQaWqhpaSd+bm9mDQ9HNzxPT0Xss/IXmVL5BAIBvHo0xqkdp2FkaQgjC0Oc3H4aquqqqOtTR1xv15J90DXSEQ8omnZvhPUzN+HU32fg0rQWbp27g+jIBxj5U+nvQfCfR+HcxAn6NXSRmZqNE9vCkJedh/ptSqbeFRUVY/uiXXhyLx6DA/qjuEiEjOclazA0dTSholp9r3ILBAI06lofZ3degIG5PgwtDHB253moqqnArWXpFMT9P/8HHSNt8YCiYdcG2DJnO87tugCnJjVx9/w9PLwSg8GB/cRtGnf3xP7l/8Gspiksnc0Reega0pMyUL9DSRqtqatZZuqMkooyhAZCGFkZAihJHLbP24WCvEJ0ndIRedn54lvIaulqVvtF0/W6euDIymMwcagBM2cz3DhyE5lJGajjVzK4OrPlHLKSs9BuYhsAQB2/2rgafB2nNpxG7bZuSLidgJvHb8FvclsAgIqaCoxsjCT2of7i+zJeLX8UGQOIAAMLfaQmpOHM5rMwsNCHq2/Zv4NUSiAQoEu/jti1cR/Mrc1hbm2GXRv3Ql1DDd5+zcX1fpm/GoY1DDB4bMmAYvfGvXB0cYCplSkKCwpx+UwkThw8hS9mjihvV0TvrdIGD+vWrUPbtm2lfnjs1asXFi1ahMuXL6NBgwYYNGgQOnfujJYtW8LGRvKq0qZNmzBy5Ei0bNkSZmZmCAwMxI0bN6ChUXpHk5iYGCgplf8HoVWrVvj1118xdOhQPH36FAYGBqhfvz4OHz4s/oDfvn17/Pvvv1iwYAEWL14MVVVVuLi4YNSokhhcX18fP/zwA6ZOnYqioiK4u7tj//79MDIygr6+Pnbv3o2AgADk5ubCyckJW7duRe3a0r9kJygoCJMmTUKXLl2Qn5+Pli1b4uDBgx/ki+T69+9fpuzBgwf47rvvYGJigsDAQERHR0NfXx8NGjTAnDlzZN72oEGDEB0djenTpyM3Nxd9+/bFsGHDcOHCBXGd0aNHIzQ0FA0bNkRmZiZCQkJgZ2cn93F96hrW8kDo0r/Fz3/+MgAAsOHwDgz/aWo5rehtWvT2QkFeAf79NRi5mTmwdLbE0IUDJRKKtGdpELwy6LRxs0afWT1xbFMojm8OhYG5AfrO6glrl9IpUelJ6dj54x5kp2dDS08Ia2dLjP55OPRN9cWv3zpXcieU1eNLp9AAwPAfBsO+rl2FHfPHoEnPRijIL8ThtceRm5kLi1pm6De/l0RCkZ6UIXHerVwt0H16Z5zcchon/zoDAzN9dJ/RGRbOpd8Z4OrtjJyMHJzefg5Zz7NgbGuEPt9+Bj0T2acqJtx/iid3Su7ws9Z/vcRr/r+PhL5p9V7A69S8JnIzchG+8xKyUrJgZGOILnM6Q7dGyfSh7JRsZCSVfveCrqkuus7pjLANp3Et+DqEhkK0HN4CNZs6lrcLqfKz83F2y3lkJmdCQ1sDjk0d0HRAY4WYLiavHkO6Ij8vH7//tL7kS+JqO+LbFXMkEoqkhCSJi6a5OXn4/acgPH+WDDV1NVjaWmBSwDg0b8ekR6rqfc2gwglE7ztx/iMRFxcHa2trHD16FG3atKnq7ii8du3awczMDJs3b66U/QnalT+1hCrXtt+kJ31U+bILpN9JhypfZkH5X+xFlcvXqvxbplPlq2PQ4O2VKojAv/LWgYh+u1lp+6osn9zEz+PHjyMzMxPu7u6Ij4/HzJkzYWdn98bvUaCKkZ2djd9++w3t27eHsrIytm7diqNHj+LIkSNV3TUiIiIi6bjmQS6f3OChoKAAc+bMQXR0NHR0dNCsWTNs2bLlg0zxoXcjEAhw8OBBLFy4EHl5eXB2dsauXbvQtm3bqu4aEREREVWAT27w0L59e7Rv376qu0EoudvU0aNH316RiIiI6GPB4EEuXDJCRERERPQRWL16Nezt7aGhoQFPT0+cOnXqjfW3bNkCDw8PaGlpwdzcHMOHD0dycnKF9pGDByIiIiKiKrZ9+3ZMnjwZX3/9NSIiIuDt7Y2OHTsiJiZGav2wsDAMHToUI0eOxI0bN/D3338jPDxcfGfQisLBAxEREREpDiVB5T3ewbJlyzBy5EiMGjUKrq6uWL58OaytrbFmzRqp9c+dOwc7OztMnDgR9vb2aNGiBcaMGVPmC3s/NA4eiIiIiIiqUH5+Pi5dugQ/Pz+Jcj8/P5w5c0Zqm2bNmiEuLg4HDx6ESCTC06dPsXPnTnTu3LlC+/rJLZgmIiIiInpvlXir1ry8POTl5UmUqaurQ11dXaIsKSkJRUVFMDU1lSg3NTVFQkKC1G2/vONov379kJubi8LCQnTr1g0rV678sAfxGiYPREREREQVIDAwEHp6ehKPwMDyv1RV8NrARiQSlSl76ebNm5g4cSK+/fZbXLp0CcHBwXjw4AH8/f0/6DG8jskDERERESmOSrxV6+zZszF16lSJstdTBwAwNjaGsrJymZQhMTGxTBrxUmBgIJo3b44ZM2YAAOrWrQuhUAhvb28sXLgQ5ubmH+goJDF5ICIiIiKqAOrq6tDV1ZV4SBs8qKmpwdPTE0eOHJEoP3LkCJo1ayZ129nZ2VBSkvwor6ysDKAksagoTB6IiIiISGGUNw2oqk2dOhVDhgxBw4YN4eXlhd9//x0xMTHiaUizZ8/G48ePsWnTJgBA165dMXr0aKxZswbt27dHfHw8Jk+ejMaNG8PCwqLC+snBAxERERFRFevXrx+Sk5OxYMECxMfHo06dOjh48CBsbW0BAPHx8RLf+TBs2DBkZGRg1apVmDZtGvT19dG6dWv8+OOPFdpPgagicw2iCiZoZ1XVXaAXtv1W/gIwqlzZBdlV3QV6IbMgp6q7QC/4WrWs6i7QK+oYNKiyfStP9qi0fRUtv1Jp+6osXPNAREREREQy4bQlIiIiIlIYH+mSh08GkwciIiIiIpIJkwciIiIiUhhKjB7kwuSBiIiIiIhkwuSBiIiIiBTGx/o9D58KJg9ERERERCQTJg9EREREpDCYPMiHyQMREREREcmEgwciIiIiIpIJpy0RERERkcLgtCX5MHkgIiIiIiKZMHkgIiIiIoXB4EE+TB6IiIiIiEgmTB6IiIiISGFwzYN8mDwQEREREZFMmDwQERERkcJg8iAfJg9ERERERCQTJg9EREREpDAEYPIgDyYPREREREQkEyYPRERERKQwuOZBPkweiIiIiIhIJkweiIiIiEhhMHiQD5MHIiIiIiKSCZMHIiIiIlIYSowe5MLkgYiIiIiIZMLkgYiIiIgUBu+2JB8mD0REREREJBMmD0RERESkMJg8yIfJAxERERERyYSDByIiIiIikgmnLRERERGRwuCsJfkweSAiIiIiIpkweSAiIiIihcEF0/Jh8kBERERERDJh8kCftG2/BVZ1F+iF/v6zq7oL9MLaFXOqugv0gq2uVVV3gV4QiURV3QX6SDB5kA+TByIiIiIikgmTByIiIiJSGEwe5MPkgYiIiIiIZMLkgYiIiIgUBpMH+TB5ICIiIiIimTB5ICIiIiKFweBBPkweiIiIiIhIJkweiIiIiEhhcM2DfJg8EBERERGRTJg8EBEREZHCYPIgHyYPREREREQkEyYPRERERKQwlJg8yIXJAxERERERyYSDByIiIiIikgmnLRERERGRwuCsJfkweSAiIiIiIpkweSAiIiIihcFbtcqHyQMREREREcmEyQMRERERKQwBmDzIg8kDEREREdFHYPXq1bC3t4eGhgY8PT1x6tSpN9bPy8vD119/DVtbW6irq8PR0RHr16+v0D4yeSAiIiIihfGxrnnYvn07Jk+ejNWrV6N58+ZYu3YtOnbsiJs3b8LGxkZqm759++Lp06dYt24datasicTERBQWFlZoPzl4ICIiIiKqYsuWLcPIkSMxatQoAMDy5ctx6NAhrFmzBoGBgWXqBwcH48SJE4iOjoahoSEAwM7OrsL7yWlLRERERKQwBAJBpT1klZ+fj0uXLsHPz0+i3M/PD2fOnJHa5p9//kHDhg2xePFiWFpaolatWpg+fTpycnLkOj9vw+SBiIiIiKgC5OXlIS8vT6JMXV0d6urqEmVJSUkoKiqCqampRLmpqSkSEhKkbjs6OhphYWHQ0NDAnj17kJSUhLFjx+L58+cVuu6ByQMRERERKQyBoPIegYGB0NPTk3hIm4JU2jfJtEIkEpWbYBQXF0MgEGDLli1o3LgxOnXqhGXLlmHDhg0Vmj4weSAiIiIiqgCzZ8/G1KlTJcpeTx0AwNjYGMrKymVShsTExDJpxEvm5uawtLSEnp6euMzV1RUikQhxcXFwcnL6AEdQFpMHIiIiIlIYlbnmQV1dHbq6uhIPaYMHNTU1eHp64siRIxLlR44cQbNmzaQeR/PmzfHkyRNkZmaKy+7cuQMlJSVYWVl92JP2Cg4eiIiIiIiq2NSpU/Hnn39i/fr1iIqKwpQpUxATEwN/f38AJSnG0KFDxfUHDhwIIyMjDB8+HDdv3sTJkycxY8YMjBgxApqamhXWT05bIiIiIiKF8bF+z0O/fv2QnJyMBQsWID4+HnXq1MHBgwdha2sLAIiPj0dMTIy4vra2No4cOYIJEyagYcOGMDIyQt++fbFw4cIK7ScHD0REREREH4GxY8di7NixUl/bsGFDmTIXF5cyU50qGgcPRERERKQwPtbk4VPBNQ9ERERERCQTJg9EREREpDAYPMiHyQMREREREcmEgwciIiIiIpIJpy0RERERkcLggmn5MHkgIiIiIiKZMHkgIiIiIoXB5EE+TB6IiIiIiEgmTB6IiIiISGEweZAPkwciIiIiIpIJkwciIiIiUhgMHuTD5IGIiIiIiGTC5IGIiIiIFAbXPMiHyQMREREREcmEyQMRERERKQwmD/Jh8lCBAgICUK9evaruBhERERHRB8Hk4T29bdT6+eefY9WqVZgwYUIl9ajyxMXFwcHBAQ4ODrh161ZVd6dKiUQihGw5iUvBEcjJzIWVswW6jO0IE9sab2x3IywKxzefwPP4FBiaG6DN5z5wa+Yifv34/04g9K9TEm20DYSYuWUKAKCosAjHNoXiTvg9pCSkQkOoDod69mg3vDV0jXQ+/IFWc97uTTCjjz88a7nDwsgMPeaNxL4zh6q6W5+0yP+uIHzvZWSlZMHI2gi+I1vCys2y3Pqx1+MQGnQKybHJ0DYUolEPT3h0qCt+PSkmGWe2nsXT+4lIf5YBnxEt4dm1vsQ2iouKcWbbOUSdvI3s1CwIDYSo7euGpn0aQ6DEK41vIhKJcGTzcZw/GI7szBzYuFjjs/FdYWZnWm6bhIdPcWjTMTy++xgpT1PRzb8TvHs2r8ReVw8ikQg71u3C0X3HkZWehZq1a2L09OGwdrAqt82Rfcdx4r9TiI2OBQA4ONtjoH8/ONWuKa6Tk5WDbb//jfMnLyL9eRrsatlhxJShqOnmWOHH9LFj8iAfJg/vKT4+XvxYvnw5dHV1JcpWrFgBbW1tGBkZVXVXP7gNGzagb9++yM7OxunTp6u6O1UqbOdZnN1zHp2/7IAxy0dA20AbG7/egrzsvHLbxETF4e8fdsOjtTvG/joaHq3dsSNwN2JvPZaoZ2JbAzP+N1n8GLf6C/FrBXkFeHIvAT4DvPHlylHoP7c3kh8/x1/zd1TYsVZnQg0tXIm+ifGrvqnqrlQLt8LuIGT9STTp3QhDlg6ElZsFdn+3D+nP0qXWT3uaht0L98HKzQJDlg5E416NcHzdCdw5e1dcpzCvAHqmevAe0hxCAy2p27mw+yKuHLqGNqN9MGzlULQc2gLhey8h4kBkRRxmtRK64xRO7j6NHuO7YtLKsdAx0MYfs4KQ+4b3soK8AhiZGaDTiPbQMdSuxN5WL3v/tx//bv0PI6cNww/rF0LfSA8LJi1CTlZOuW1uXL6JFu2aIWDVXCz6fT6MTY3x3eQfkJz4XFxnTeAfuBJ+DRO//RJL//cjPJq4Y8HERRJ1iN4HBw/vyczMTPzQ09ODQCAoU/b6tKVhw4ahR48eWLRoEUxNTaGvr4/58+ejsLAQM2bMgKGhIaysrLB+/XqJfT1+/Bj9+vWDgYEBjIyM0L17dzx8+PCN/Ttx4gQaN24MdXV1mJubY9asWSgsLBS/7uPjg4kTJ2LmzJkwNDSEmZkZAgIC3nrcIpEIQUFBGDJkCAYOHIh169ZJvP7w4UMIBAJs27YNzZo1g4aGBmrXro3Q0FBxndDQUAgEAhw4cAAeHh7Q0NBAkyZNcO3atbfu/2MiEolwdu8FtOzfAm7NXWBqZ4Ke07qhIK8AV0Ovl9vu3N4LcKjvgJb9mqOGtTFa9msOh3p2OLfvvEQ9JWUl6Bhqix9CPaH4NQ2hBoYtGoQ6Ld1gbGUEaxcrdP6yPZ7ci0dqYlqFHXN1FRwegm82/IQ9Yf9VdVeqhUv/XIZ7m9qo264OjKwN4TuyFXSMtHElWPrv+JVD16BrrAPfka1gZG2Iuu3qoE5rN1zce1lcx8zJDK2GecPF2xnKKspStxN/Ox41GzvAoaE99Ex0UauZE+zq2SDhfmKFHGd1IRKJcGrPabQZ4AP3FrVhZm+K/jN6Iz+vABHHr5TbztrZCl2+6Ih6vnWhosqJDO9DJBLhwPZg9BzWHU19GsPG0RoTvvkSebn5OHX4TLntJs8fjw692sG+lh0s7SzhP3s0RMUiXLtY8rcnLzcf50IvYMi4gXCr7wpzazP0G9UbJhYmOLznaGUd3kdLIKi8R3XEwUMlO378OJ48eYKTJ09i2bJlCAgIQJcuXWBgYIDz58/D398f/v7+iI0tiSKzs7Ph6+sLbW1tnDx5EmFhYdDW1kaHDh2Qn58vdR+PHz9Gp06d0KhRI1y5cgVr1qzBunXrsHDhQol6GzduhFAoxPnz57F48WIsWLAAR44ceWP/Q0JCkJ2djbZt22LIkCHYsWMHMjIyytSbMWMGpk2bhoiICDRr1gzdunVDcnJymTpLlixBeHg4TExM0K1bNxQUFLzL6axSKQmpyEzJRM0GDuIyFVUV2LnbIjYqrtx2sbfiJNoAQM0Gjoi5Kdkm+fFz/DR4OZYNX4kdP+zG8/iUN/YnNysXAgGgoa3xHkdD9GEUFRTh6f1E2NazkSi3rWeLJ7fipbZ5cjsetvVsJcrs6tvi6f1EFBUWybxvC1cLxFyNxfPHJb8riQ+e4XHUE9h72r3bQSiY5wkpyHieiVqepVNeVNRU4FDXDo9uxlRhz6q/xCeJSE1OhUfj0il6qmqqcKvvitvX7si8nfzcPBQVFkJbtyQBKi4qQnFRMVTVVCXqqamrIurK7Q/TeVJYHDxUMkNDQ/zyyy9wdnbGiBEj4OzsjOzsbMyZMwdOTk6YPXs21NTUxNOBtm3bBiUlJfz5559wd3eHq6srgoKCEBMTI3E1/1WrV6+GtbU1Vq1aBRcXF/To0QPz58/H0qVLUVxcLK5Xt25dzJs3D05OThg6dCgaNmyIY8eOvbH/69atQ//+/aGsrIzatWujZs2a2L59e5l648ePR69eveDq6oo1a9ZAT0+vTEoxb948tGvXDu7u7ti4cSOePn2KPXv2vOMZrTqZKZkAAKG+UKJcqC9ERkrWG9tpv9ZGW1+IzFfaWDlboue0bhj63UB0n9gZmSmZ+HP6BmSnZ0vdZkF+IY4EhcDdpw40tNTf95CI5JaTkQNRsQha+pJTi4T6mshKlf57kZ2SDaG+pkSZlr4WiouKkZOeK/O+G/dsCBdvZwRN2ISfe6/E5ml/oUHX+nD1dn73A1EgGc9LLgBpG0hOPdLR10ZGStmLQ/ThpCSXJMX6hnoS5fqGukh9nirzdv63ehsMaxiibqM6AABNoSZq1XHCzqA9eP4sBUVFxTgZHIa7N+4jNVn27VZXAoGg0h7VEXPGSla7dm0oKZWO2UxNTVGnTh3xc2VlZRgZGSExsSRmv3TpEu7duwcdHclFsLm5ubh//77UfURFRcHLy0viH23z5s2RmZmJuLg42NiUXBGsW7euRDtzc3PxfqVJTU3F7t27ERYWJi4bPHgw1q9fj1GjRknU9fLyEv+/iooKGjZsiKioqHLrGBoawtnZuUydV+Xl5SEvT3L+bUFeAVTVVctp8WFdCbmG/SsPip8Pmt8fgJRYUiR6e1T52usiSLap1aj0CqApTGDtaoXlI39FxNGraN6zqUTbosIi/P3DbohEInQZ11HWwyGqUILX/pGLRHhzhv/6ayLpxW9yO+wObp64hc5TOsDIxgjPHjxDyLqT0DYQonZrN9k3VM1dPhaJXSv2iZ+PWDgUQJm3pZIfQTX98FNVTh4Kw+8/ll5Im71kJgAp//xFZX+HyrP3f/tx+sgZBKz+BmrqauLyifPGYvX3a/FFt3FQUlaCQy07tPBrhge3H8p9HKTYOHioZKqqkh90BQKB1LKXCUFxcTE8PT2xZcuWMtuqUUP6HX1EIlGZ0a5IJBJv+019eTWZeN1ff/2F3NxcNGnSRGK7xcXFuHnzJtzc3vzHWZYR+JvqBAYGYv78+RJlvSb0QJ9JPd+63Q/BpUktWDmX3i2mqKBkOkVmShZ0DEsHd1lp2WWShVdpG2hLpAwAkJWaXSbBeJWahhpMbE3w/InkQreiwiLsCNyNlKepGB44mKkDVTlNHU0IlARlUobstBwI9aQvdNYy0EJWSvZr9bOhpKwEDR3Zp+Gd2BgmTh8AoIatMdKfZeD87oscPLzCzcsVNi7W4ueFBSXr4TJSMqFrpCsuz0zNhI4+F0J/SI1aeMLJrfTi0Mtzn5KcBgNjA3F5Wko69F5LI6TZt+Vf7N64D9/+Mgd2NSWnCppZmWLBmm+Rm5OLnKwcGBgbYNncX2Bi8ea7ARK9DactfeQaNGiAu3fvwsTEBDVr1pR46OlJf2Nxc3PDmTNnxAMGADhz5gx0dHRgaVn+rRLfZt26dZg2bRoiIyPFjytXrsDX17fMIu9z586J/7+wsBCXLl2Ci4tLuXVSUlJw586dMnVeNXv2bKSlpUk8evh3fe/jeVfqWuowsjAUP2rYGEPbQBv3LkeL6xQWFOHhtUewdi3/FnvWLla4HxEtUXbvcjRs3MpvU1hQiKTYJGi/ckeTlwOH5CfPMWzRIGjpSv9gRlSZlFWVYepogkdXJOfKP7oSAwsXc6ltLJzNy9aPjIGpo0m5i6OlKcwrLHNLVoGSACgWldNCMWloqcPY0kj8MLU1gY6hNu5cvieuU1hQiOirD2HrZvOGLdG70hRqwtzaTPywsreEvpE+roaX3kygoKAQNyOi4Oxe643b2ve//dgVtAdzf/4KNV0dyq2noakBA2MDZKZnIvL8VTTy9vxgx/PJ4oppuXDw8JEbNGgQjI2N0b17d5w6dQoPHjzAiRMnMGnSJMTFSV+UO3bsWMTGxmLChAm4desW9u3bh3nz5mHq1KkSU6beRWRkJC5fvoxRo0ahTp06Eo8BAwZg06ZNEoudf/31V+zZswe3bt3CuHHjkJKSghEjRkhsc8GCBTh27BiuX7+OYcOGwdjYGD169Ci3D+rq6tDV1ZV4VNaUJWkEAgG8ejTGqR2ncfPMLTx9mIg9y/6Bqroq6vqUTkXbtWQfjgQdFz9v2r0R7l+Oxqm/z+BZbBJO/X0G0ZEP0LR7aaIT/OdRPLj2CCkJKYi99Rjbvt+FvOw81G9TMtWsqKgY2xftwuO7T9B7Rg8UF4mQ8TwTGc8zUVgg+wJTKiHU0IKHoxs8HEuuTtubWcPD0Q3WNSyquGefJs9uDXDt6A1cO3oDybHPEbL+BDKSMuDR3h0AcGrzafy3ovR7NDzauyP9WTpC159EcuzzkrbHbqBhjwbiOkUFRUh88AyJD56hqLAYmcmZSHzwDCnxqeI6jo3scX5nOKIvPkBaYjrunruHS/9EoGZT3tf+TQQCAbw/a47jW0/gWtgNJDx4iu1LdkFNXRX1W3uI621d/DcOriv9uRUWFOLx/Sd4fP8JigqKkJaUjsf3nyDpcbK03ZAUAoEAnft1wO6N+3A+NBwx92Px63e/QV1DDd5+zcT1fpm/GltWbxM/3/u//dj6+98Y+/UY1DCvgZTkVKQkpyInu3SNUOS5K4g4ewVPnyTiyoVrCBj/PSxszOHbpVWlHiNVP5y29JHT0tLCyZMn8dVXX6Fnz57IyMiApaUl2rRpA11dXaltLC0tcfDgQcyYMQMeHh4wNDTEyJEjMXfu3Pfux7p16+Dm5iY1GejRowe+/PJL7N+/Hw0alPyx/+GHH/Djjz8iIiICjo6O2LdvH4yNjSXa/fDDD5g0aRLu3r0LDw8P/PPPP1BTUyuz/Y9Zi95eKMgrwL+/BiM3MweWzpYYunAg1F+ZPpT2LE3iaqiNmzX6zOqJY5tCcXxzKAzMDdB3Vk9Yu5SmQulJ6dj54x5kp2dDS08Ia2dLjP55OPRN9cWv3zpXcieO1eP/kOjT8B8Gw76uXYUdc3XUsJYHQpf+LX7+85cBAIANh3dg+E9Tq6hXny6XFrWQm5GDczvOIyslG0Y2Rug5tzt0TUres7JSspD+rHQhrp6pHnrO7Y7QoJOI/O8qhIZCtB7ZCrW8nMR1MlOysHnqX+LnF/ddxsV9l2FV2xL9FvYGALQe7YPTf53F0d9DkJOWDaGBNur61YFX39KBOUnn09cbBXkF2LPqH+Rk5MLGxQqjA4dLTIVMTUyTmFqanpyB5V/+Kn5+YmcYTuwMg0Nde3y5RHIdHJWvx+CuyM/Lxx9LgpCVkQUnN0d8s3w2NIWlNxFIeposcfHv0K4jKCwoxJI5yyW21WdkT/QbVfL7kJ2Zgy2/bUNy4nNo62qjqU8jDPDvBxUVfvSrrguZK4tA9OrcFiI5PXz4EPb29oiIiJD4jotXhYaGwtfXFykpKdDX15drf9vvb5arPX04/f1nV3UX6IW1K+ZUdRfoBTOhSVV3gV6w17Gv6i7QK9wNq276VP3fP6u0fUV88encRVJWHH4SERERkcJg8CAfrnkgIiIiIiKZMHmgD8rOzg5vmwnn4+Pz1jpEREREFYFrHuTD5IGIiIiIiGTC5IGIiIiIFAaTB/kweSAiIiIiIpkweSAiIiIihcHkQT5MHoiIiIiISCZMHoiIiIhIYTB4kA+TByIiIiIikgmTByIiIiJSGFzzIB8mD0REREREJBMmD0RERESkMJg8yIfJAxERERERyYTJAxEREREpDCYP8mHyQEREREREMuHggYiIiIiIZMJpS0RERESkMDhtST5MHoiIiIiISCZMHoiIiIhIYTB4kA+TByIiIiIikgmTByIiIiJSGFzzIB8mD0REREREJBMmD0RERESkMJg8yIfJAxERERERyYTJAxEREREpDCYP8mHyQEREREREMmHyQEREREQKg8GDfJg8EBERERF9BFavXg17e3toaGjA09MTp06dkqnd6dOnoaKignr16lVsB8HBAxEREREpEIFAUGmPd7F9+3ZMnjwZX3/9NSIiIuDt7Y2OHTsiJibmje3S0tIwdOhQtGnTRp7TIjMOHoiIiIiIqtiyZcswcuRIjBo1Cq6urli+fDmsra2xZs2aN7YbM2YMBg4cCC8vr0rpJwcPRERERKQ4BIJKe+Tl5SE9PV3ikZeXV6ZL+fn5uHTpEvz8/CTK/fz8cObMmXIPJSgoCPfv38e8efM++GkqDwcPREREREQVIDAwEHp6ehKPwMDAMvWSkpJQVFQEU1NTiXJTU1MkJCRI3fbdu3cxa9YsbNmyBSoqlXcPJN5tiYiIiIgURmV+z8Ps2bMxdepUiTJ1dfVy67/eN5FIJLW/RUVFGDhwIObPn49atWp9mM7KiIMHIiIiIqIKoK6u/sbBwkvGxsZQVlYukzIkJiaWSSMAICMjAxcvXkRERATGjx8PACguLoZIJIKKigoOHz6M1q1bf5iDeA2nLRERERERVSE1NTV4enriyJEjEuVHjhxBs2bNytTX1dXFtWvXEBkZKX74+/vD2dkZkZGRaNKkSYX1lckDERERESkMpY/0S+KmTp2KIUOGoGHDhvDy8sLvv/+OmJgY+Pv7AyiZAvX48WNs2rQJSkpKqFOnjkR7ExMTaGholCn/0Dh4ICIiIiKqYv369UNycjIWLFiA+Ph41KlTBwcPHoStrS0AID4+/q3f+VAZBCKRSFTVnSB6X9vvb67qLtAL/f1nV3UX6IW1K+ZUdRfoBTOhSVV3gV6w17Gv6i7QK9wNPats3213fV5p+zraa2Ol7auycM0DERERERHJhNOWiIiIiEhhKFXirVqrIyYPREREREQkEyYPRERERKQwKvNL4qojJg9ERERERCQTJg9EREREpDB45Vw+PH9ERERERCQTJg9EREREpDB4tyX5MHkgIiIiIiKZMHkgIiIiIoXBuy3Jh4MH+qRlF2RXdRfohbUr5lR1F+iFMZMWVXUX6IW/1y6u6i7QC9eeX6vqLtAr3A09q7oL9J44eCAiIiIihcE1D/LhmgciIiIiIpIJkwciIiIiUhhc8yAfJg9ERERERCQTJg9EREREpDB45Vw+PH9ERERERCQTDh6IiIiIiEgmnLZERERERAqDt2qVD5MHIiIiIiKSCZMHIiIiIlIYvFWrfJg8EBERERGRTJg8EBEREZHC4JoH+TB5ICIiIiIimTB5ICIiIiKFwdxBPkweiIiIiIhIJkweiIiIiEhhcM2DfJg8EBERERGRTJg8EBEREZHCYPIgHyYPREREREQkEyYPRERERKQw+A3T8mHyQEREREREMmHyQEREREQKg2se5MPkgYiIiIiIZMLkgYiIiIgUBnMH+TB5ICIiIiIimXDwQEREREREMuG0JSIiIiJSGFwwLR8mD0REREREJBMmD0RERESkMJg8yIfJAxERERERyYTJAxEREREpDAGTB7kweSAiIiIiIpkweSAiIiIihcE1D/Jh8kBERERERDJh8kBERERECoO5g3yYPBARERERkUyYPBARERGRwuCaB/kweSAiIiIiIpkweSAiIiIihcHkQT5MHoiIiIiISCZMHoiIiIhIYfAbpuXD5IGIiIiIiGTC5IGIiIiIFAavnMuH54+IiIiIiGTCwQMRERERKQyBQFBpj3e1evVq2NvbQ0NDA56enjh16lS5dXfv3o127dqhRo0a0NXVhZeXFw4dOiTPqZEJBw9ERERERFVs+/btmDx5Mr7++mtERETA29sbHTt2RExMjNT6J0+eRLt27XDw4EFcunQJvr6+6Nq1KyIiIiq0nwo1eAgICEC9evWquhsftdDQUAgEAqSmplZJeyIiIiJFtGzZMowcORKjRo2Cq6srli9fDmtra6xZs0Zq/eXLl2PmzJlo1KgRnJycsGjRIjg5OWH//v0V2s9qs2D6bdHQ559/jlWrVmHChAmV1KOKFRwcjI4dOyI+Ph5mZmbicjMzM6iqqiI2NlZcFhcXB2traxw6dAh+fn4V2q9mzZohPj4eenp6AIANGzZg8uTJ1WYwIRKJELbtLK4cuobcrFyY1zKH35jWqGFj/MZ2t87cwaktZ5CakAZ9Mz20HNwczl5OEnUuH4zE+T0XkZmSBWMbI7Qd6QPr2lZStxe8+ggiD11Dm5E+aNStAQAgJyMHp7aexcOIR0hPyoCWriacmjjCe1BzaAjVP8wJ+IhF/ncF4XsvIyslC0bWRvAd2RJWbpbl1o+9HofQoFNIjk2GtqEQjXp4wqNDXfHrSTHJOLP1LJ7eT0T6swz4jGgJz671JbZRXFSMM9vOIerkbWSnZkFoIERtXzc07dMYAiXeCvB9eLs3wYw+/vCs5Q4LIzP0mDcS+85UfAxfnYlEIhzfcgLh/11CTmYurJ0t0XVcJ5jamryx3fWwmzi6KQTP41NgaG6Adp+3Ru3mrhJ10pLScWj9Udy5eA+F+QUwsjRCz8ndYOlkAQDITMlE8PqjuHf5PnKzcmFXxxZdvuwIY0ujCjvej5lIJMKJv8JwKTgSuZm5sHS2QKcv/WBiW+ON7W6evoWQzSeREp8KA3N9tB7aCq7NnMWvhx+4jIsHLyP1aRoAwMTWGC0HtIBTQ0dxnfmdA6Vuu+0IXzTv1fQDHN2nozK/JC4vLw95eXkSZerq6lBXl/y7nJ+fj0uXLmHWrFkS5X5+fjhz5oxM+youLkZGRgYMDQ3l6/RbVJvkIT4+XvxYvnw5dHV1JcpWrFgBbW1tGBlVjzesFi1aQEVFBaGhoeKyqKgo5ObmIj09Hffu3ROXh4SEQFVVFc2bN6/wfqmpqcHMzKza3kP5/O5whO+7jHZjWuPzJYOgrS/E9m93IS87v9w2j289wb6fDqCOrxtGrBiCOr5u2PfTATy5HS+uE3XqNo6uC0WzPk0w/OfBsHazxI4Fe5D2LL3M9u6cu4cndxKgbSiUKM98noXM55nwHd4SI38Zik6T2iM64iH+W3n4w52Aj9StsDsIWX8STXo3wpClA2HlZoHd3+1DupTzBwBpT9Owe+E+WLlZYMjSgWjcqxGOrzuBO2fviusU5hVAz1QP3kOaQ2igJXU7F3ZfxJVD19BmtA+GrRyKlkNbIHzvJUQciKyIw1QIQg0tXIm+ifGrvqnqrlQbp/4+jdO7z6Lr2E4Yu2I0tA20ETRnM/Ky88ptExMVi+2BO1G/TV1MWO2P+m3qYlvgTsTeihPXycnIwe/T1kNZRRmffzcIk9aOQ6dRftAQagAo+aD8vwXbkZKQgsHf9se4VWOgb6KHoDmbkZ9b/ntmdXZ65zmc3XMBnfz9MPrnYdA2EGLz3G1v/FnERsVh5w97Ubd1HfivGom6retg5w97EXfrsbiOrrEO2g7zwRcrhuGLFcNgV9cO277bicRHz8R1pm2eIPHoNrkzIADcXhmE0IcXGBgIPT09iUdgYNmBXFJSEoqKimBqaipRbmpqioSEBJn2tXTpUmRlZaFv374fpO/lqTaDBzMzM/FDT08PAoGgTNnr05aGDRuGHj16YNGiRTA1NYW+vj7mz5+PwsJCzJgxA4aGhrCyssL69esl9vX48WP069cPBgYGMDIyQvfu3fHw4cM39u/EiRNo3Lgx1NXVYW5ujlmzZqGwsFD8uo+PDyZOnIiZM2fC0NAQZmZmCAgIKHd72traaNSokcTgITQ0FC1atECLFi3KlDdu3BhCoRAikQiLFy+Gg4MDNDU14eHhgZ07d5bZ/unTp+Hh4QENDQ00adIE165dE7/26NEjdO3aFQYGBhAKhahduzYOHjwo3tfLaUuhoaEYPnw40tLSxAuHXh5Tfn4+Zs6cCUtLSwiFQjRp0kSizx8jkUiE8P0RaNanMZy9nFDD1hidJ7dHQX4hbp68VW678H8uw76eLbx6N4aRlSG8ejeGbV1rhO+/LK5zYd8leLStAw8/dxhbG6HtKF/oGusg4r8rEtvKSM7Akd+Po+vUjlBSUZZ4rYatMXrO6ganxo4wMNeHXV0btBrcAvfCo1FcVPxhT8ZH5tI/l+HepjbqtqsDI2tD+I5sBR0jbVwJvia1/pVD16BrrAPfka1gZG2Iuu3qoE5rN1zcW/ozMXMyQ6th3nDxdobya+f6pfjb8ajZ2AEODe2hZ6KLWs2cYFfPBgn3EyvkOBVBcHgIvtnwE/aE/VfVXakWRCIRTu89D5/+3qjd3BWmdiboPa0HCvIKcCVU+u8HAJzZex6ODRzRqp83algbo1U/bzjWs8eZvefFdU7+fRp6NfTQa2p3WDtbwsBUH471HWBkUXLVM/nxc8TeikO38Z1h5WyJGlbG6DauM/Jy8nEl9HqFH/vHRiQS4fy+cHj3awbX5s4wsauBHlO7oCCvANdO3Cy33fl9F+FY3x7efZvB2NoI3n2bwd7DFuf3hYvrODdxglOjmjCyNIKRpRHafN4KahpqiLv1RFxH21Bb4nH73B3Y17WFgblBhR73x0hJIKi0x+zZs5GWlibxmD17drl9e/3iq0gkkumC7NatWxEQEIDt27fDxOTNqaK8qs3g4X0dP34cT548wcmTJ7Fs2TIEBASgS5cuMDAwwPnz5+Hv7w9/f3/xNKDs7Gz4+vpCW1sbJ0+eRFhYGLS1tdGhQwfk50u/kvL48WN06tQJjRo1wpUrV7BmzRqsW7cOCxculKi3ceNGCIVCnD9/HosXL8aCBQtw5MiRcvvu6+uLkJAQ8fOQkBD4+PigVatWZcp9fX0BAHPnzkVQUBDWrFmDGzduYMqUKRg8eDBOnDghse0ZM2ZgyZIlCA8Ph4mJCbp164aCggIAwLhx45CXl4eTJ0/i2rVr+PHHH6GtrV2mf82aNSuTAk2fPh0AMHz4cJw+fRrbtm3D1atX0adPH3To0AF3794ts52PRdrTNGSlZMGuvp24TEVVBda1rfD4lTfo1z25HQ+7erYSZfb17cRtigqKkHD/aZk6dvVsJbYrKhZh/8/BaPxZw7dOk3opLysPalpqUFKuvr/qRQVFeHo/Ebb1bCTKbevZ4smteKltntyOh+3r57u+LZ7eT0RRYZHM+7ZwtUDM1Vg8f5wCAEh88AyPo57A3tPu3Q6CqIKkJKQiMyUTNRuUTl9RUVOBnbsdYm7GldsuJioWTg0cJMqcPB0RE1U6JTbq3G1YOplj6/d/Y1H/n7Bq3FqE/3dJ/HphQckFMhXV0hnSSspKUFZRxqMb0heAVmepCanITMmCYwN7cZmKqgrs6tggLqr8n0XsrcdwqG8vUebYwAGxUY+l1i8uKsb1EzdRkFsAa1fpUzczU7JwN/w+6vt5vMeR0LtQV1eHrq6uxOP1KUsAYGxsDGVl5TIpQ2JiYpk04nXbt2/HyJEjsWPHDrRt2/aD9l+aarPm4X0ZGhril19+gZKSEpydnbF48WJkZ2djzpw5AIDZs2fjhx9+wOnTp9G/f39s27YNSkpK+PPPP8UjwaCgIOjr6yM0NFTqmoLVq1fD2toaq1atgkAggIuLC548eYKvvvoK3377LZSUSj7Y1a1bF/PmzQMAODk5YdWqVTh27BjatWsnte8+Pj5YtGgR4uPjYW5ujhMnTmDGjBkoLi7GihUrAACxsbF48OABfH19kZWVhWXLluH48ePw8vICADg4OCAsLAxr165Fq1atxNueN2+eeL8bN26ElZUV9uzZg759+yImJga9evWCu7u7eBvSqKmpSaRAL92/fx9bt25FXFwcLCxK5sVOnz4dwcHBCAoKwqJFi2T50VW6zJRsAIBQT3IKi1BfC+mJ0qfHAEBmahaE+mXbZL3YXnZ6DkTFIgj1heXWAYBzu8OhpKyEhl0k592XJyc9B6d3nEP99nXfXvkTlpNRcv60ypxjTTxMzZLaJjslG8L6mhJlWvpaKC4qRk56bpkpYeVp3LMh8rPzETRhE5SUlFBcXIwWg5rB1ZvTAOjjkJGSCQDQNpC8wKOtL0RqYlq57TJTMqGt/3obbWQ8zxQ/T0lIwYUDF9G8pxda9WuBuDuP8e9vwVBRVUH9th6oYW0MfRM9HN5wDD0mdIGqhhpO7zmLzJRMie0oisyUkvcj7TLv9UKkPXvLz8JAso22gVC8vZeePkzEummbUJhfCDVNNfSb27PcC01Xjl2DmqaaxLoJRfIxTq1WU1ODp6cnjhw5gs8++0xcfuTIEXTv3r3cdlu3bsWIESOwdetWdO7cuTK6ysFD7dq1xR/egZK5ZXXq1BE/V1ZWhpGRERITS6YhXLp0Cffu3YOOjo7EdnJzc3H//n2p+4iKioKXl5fEP9bmzZsjMzMTcXFxsLEpuWJat67khzxzc3PxfqVp3rw51NTUEBoaCg8PD+Tk5KBBgwYQiURIT0/H3bt3cfbsWairq6NZs2a4du0acnNzywxG8vPzUb++5AfSl4MLoGSA5ezsjKioKADAxIkT8eWXX+Lw4cNo27YtevXqVabvb3L58mWIRCLUqlVLojwvL++Na1KkLToqyC+AqpqqzPt+FzdCoxC85qj4eZ9vegAAyrzniETAW96HyrxRiVCmTdntltZJuPcUF/dfxrBlg2V608vLzsPf3+2BsbURmvdXjIVwArwe9ULKSX21gZSfyVuavO522B3cPHELnad0gJGNEZ49eIaQdSehbSBE7dZusm+I6AOJPH4V+1b+K34+dP7Akv8p8+9a9PZ/66//iogk24hEIlg6WcBvWBsAgEVNcyQ+eobzBy6iflsPKKsoY+Dcvti9/B8s7LsYSkoCONZ3QK2GNd/r2D41V0Ou499VweLnAwNezEN/fVrKyzefdyCS8nfH2NII/itHIDcrDzdP38beZf9i2I+DpQ4gIo5cgbtPbaioKfzHwI/K1KlTMWTIEDRs2BBeXl74/fffERMTA39/fwAlF7QfP36MTZs2ASgZOAwdOhQrVqxA06ZNxamFpqam+MY1FUHh/9Woqkp+8BQIBFLLiotL5owXFxfD09MTW7ZsKbOtGjWk3y1B2nw1kUgk3vab+vJyv9JoaWmhcePGCAkJwfPnz9GiRQsoK5fMzW7WrBlCQkJw9uxZeHl5QUNDQ7ytAwcOwNJSMsqUFqG97mVfR40ahfbt2+PAgQM4fPgwAgMDsXTpUpnvZFVcXAxlZWVcunRJ3N+XpE1/eikwMBDz58+XKOs2rjN6jO8q037fVc3GjhjhXJqYFBaUTGfJTM2GtmFpP7PScsqkBq/S1i97hSgrLVucRmjpakKgJHhjndibj5GVlo3Vo/4Qvy4qFuF40AmE77+MsX+MEpfnZedjR8BuqGqooefsbuXO168uNHVKzl/WaylDdlpOmZToJS0DyVSnpH42lJSVoKGjIfO+T2wMQ+OeDeHyImmoYWuM9GcZOL/7IgcPVCVcmzrD2qX0Lm0vpw5lPs+ErmHpRa/M1OwyycKrtA20kZkimQ5kpWVJJBg6hjqoYSP5d6+GtTGun44SP7d0ssCEX/2Rm5WLooIiCPWFWDP5T1g6mb/fAX5CnJs4wcrZQvxc/DckJRM6r/wNyU7NLpMsvKrkZ/Ha34fU7DIJhrKqMgxfrDexcDLHkzvxOLcvHF0ndJSo9+h6LJLjnqP3Vz3e67iqA6W3XfGrIv369UNycjIWLFiA+Ph41KlTBwcPHoStbck02/j4eInvfFi7di0KCwsxbtw4jBs3Tlz++eefY8OGDRXWT4UfPLyrBg0aiBej6OrqytTGzc0Nu3btkhhEnDlzBjo6OmU+xL8rX19fbNu2DSkpKfDx8RGXt2rVCqGhoTh79iyGDx8u7oe6ujpiYmIkpihJc+7cOXEikpKSgjt37sDFxUX8urW1tXg9yOzZs/HHH39IHTyoqamhqEhyDnn9+vVRVFSExMREeHt7y3yss2fPxtSpUyXKtj3cJHP7d6WupQZ1LTXxc5FIBKGBEA8jH8HMoWQxUlFBEWJvxMFnaPnHYeFsjodXHqFxd09x2cPIR7B0KfmjoqyqDDNHUzy8EiNx+9aHkY/g1KRknnIdH1fYeUjO6d8esAt1fNzg3qa2uCwvOw/bA3ZDWVUZved2V4irSsqqyjB1NMGjKzFwalp6RfPRlRjUbCx9Sp2Fsznuhz+QKHsUGQNTR5N3GmwV5hWWuSWrQEkAFL/7lUSiD0FdSx3qWqUXg0QiEbQNtHEvIhoWNUs+sBcWFOHhtYdoP6L8udE2rta4dzkazT8rTaHvXo6Gjat1aR03ayTFJUu0S3qcDAOTslc8X96BKelxMh7ffYK2Q3zf7wA/IdJ/FkJERzyEuWPJhamigiI8vB6DtsPLPx/WLpaIjnwAr88ai8uiIx6Uu56hlAhFBWXXcEUcvgLzmmYwc3jzPHqqGmPHjsXYsWOlvvb6gKCqbjRTfVdRVpBBgwbB2NgY3bt3x6lTp/DgwQOcOHECkyZNQlyc9AVPY8eORWxsLCZMmIBbt25h3759mDdvHqZOnSoxZep9+Pr64u7duwgODpYYELRq1Qr//vsvHj58KF4sraOjg+nTp2PKlCnYuHEj7t+/j4iICPz666/YuHGjxHYXLFiAY8eO4fr16xg2bBiMjY3Ro0cPAMDkyZNx6NAhPHjwAJcvX8bx48fh6ip57++X7OzskJmZiWPHjiEpKQnZ2dmoVasWBg0ahKFDh2L37t148OABwsPD8eOPP4rv2iSNtEVHFTVlSRqBQIBGXevj7M4LuH32Lp49SsKBX4KhqqYCt5alA6v9P/+H0E2lXyffsGsDPIh4hHO7LiA57jnO7bqAh1di0KhrA3Gdxt09ceXINVw5eh1Jsck4+mco0pMyUL9DyWI2TV1N1LA1lngoqShDaCCEkVXJlaa87Hxsn7cLBbkF6DTeD3nZ+chMyUJmSla1v9uSZ7cGuHb0Bq4dvYHk2OcIWX8CGUkZ8Ghfsi7n1ObT+G9F6XcFeLR3R/qzdISuP4nk2OclbY/dQMMepT+TooIiJD54hsQHz1BUWIzM5EwkPniGlPhUcR3HRvY4vzMc0RcfIC0xHXfP3cOlfyJQs2np4lR6N0INLXg4usHDsSS5sTezhoejG6xrWLylJUkjEAjQvEcTnNh+CjdOR+Hpw0TsWrYXquqq8PBxF9f7e8keHAoqnabp1b0J7l2+j5M7wvAsNgknd4ThfkQ0mvVoIq7TvEdTxN6KQ+i2U0h+8hxXQq4h/L/LaNKlkbjOtVM3EH31IZ7Hp+Dm2VsImrMZbl4ucPJUvN8RgUCAJt0b4dSOM4g6cxuJD59h78//QlVdFe6tSpPKPUv34+iGUPHzJt0a4v7lBwj7+yySYpMR9vdZREc+RJPupef52MZQPLoei9SnqXj6MBHHNp7Aw2sxcPet/WoXkJedh5tht9CgvWIvlH55B8jKeFRH1f+y5AempaWFkydP4quvvkLPnj2RkZEBS0tLtGnTptwkwtLSEgcPHsSMGTPg4eEBQ0NDjBw5EnPnzpW7P15eXuIpR56epVe2GzVqhKKiImhqaqJJk9I3+++++w4mJiYIDAxEdHQ09PX10aBBA/EC8Zd++OEHTJo0CXfv3oWHhwf++ecfqKmVXIUvKirCuHHjEBcXB11dXXTo0AE///yz1P41a9YM/v7+4ihu3rx5CAgIQFBQEBYuXIhp06bh8ePHMDIygpeXFzp16iT3OalITXo2QkF+IQ6vPY7czFxY1DJDv/m9JBKK9KQMiavRVq4W6D69M05uOY2Tf52BgZk+us/oDAvn0tje1dsZORk5OL39HLKeZ8HY1gh9vv0MeiaypVsAkHD/KZ7cKZnvuNZf8vbC/r+PhL5pxc1/rGouLWohNyMH53acR1ZKNoxsjNBzbnfovjh/WSlZSH+WIa6vZ6qHnnO7IzToJCL/uwqhoRCtR7ZCrVeSn8yULGye+pf4+cV9l3Fx32VY1bZEv4W9AQCtR/vg9F9ncfT3EOSkZUNooI26fnXg1bf0d47eTcNaHghd+rf4+c9fBgAANhzegeE/TS2nFb2Jd5/mKMgvxD+/HkRuZg6snK0w/PshElfF0xLTJD7o2LpZo9+s3jiy6TiObg6Bobkh+s/uLTElysrZEoO+6YfDG44h5K8TMDAzQOcx7VGvdekauIznmfjv98PITM2EjqEO6rWpC98Bb06+q7PmvZuiML8QB1cfQk5mLqycLTDku/6SP4tn6RI/C2s3K/T+qgeObz6BkP+dhKGZAXp/1QNWLqXJQ2ZKFvYs3Y/M55lQF6rD1M4Egxb0g+Nrd2m6fuImRBChTitOq6T3JxC9nHxP9AkKurW2qrtALxQUy36LU6pYYyZ9nHcsU0R/r11c1V2gF/KLFfOL6T5WA2sOq7J9zz475+2VPpBAr+r3fsxpS0REREREJBNOWyIiIiIihfH6rb3p3TB5ICIiIiIimTB5ICIiIiKFUV3vglRZmDwQEREREZFMmDwQERERkcJQYvIgFyYPREREREQkEw4eiIiIiIhIJpy2REREREQKQ8Br53Lh2SMiIiIiIpkweSAiIiIihcEF0/Jh8kBERERERDJh8kBERERECoNfEicfJg9ERERERCQTJg9EREREpDAEYPIgDyYPREREREQkEyYPRERERKQweLcl+TB5ICIiIiIimTB5ICIiIiKFwbstyYfJAxERERERyYTJAxEREREpDCVeO5cLzx4REREREcmEyQMRERERKQyueZAPkwciIiIiIpIJkwciIiIiUhhMHuTD5IGIiIiIiGTC5IGIiIiIFIYSmDzIg8kDERERERHJhIMHIiIiIiKSCactEREREZHC4IJp+TB5ICIiIiIimTB5ICIiIiKFocTkQS5MHoiIiIiISCZMHoiIiIhIYQh4q1a5MHkgIiIiIiKZMHkgIiIiIoWhJOC1c3nw7BERERERkUyYPBARERGRwuD3PMiHyQMREREREcmEyQMRERERKQzebUk+TB6IiIiIiEgmTB6IiIiISGHwG6blw+SBiIiIiIhkwuSBiIiIiBQG1zzIh8kDERERERHJhMkDERERESkMrnmQD5MHIiIiIiKSCQcPREREREQkE05bIiIiIiKFIRDw2rk8OHigT1pmQU5Vd4FesNW1quou0At/r11c1V2gF/qMmVnVXaAXcoLvVHUXiKoFDh6IiIiISGHwVq3yYW5DREREREQy4eCBiIiIiBSGkkBQaY93tXr1atjb20NDQwOenp44derUG+ufOHECnp6e0NDQgIODA3777bf3PS0y4+CBiIiIiKiKbd++HZMnT8bXX3+NiIgIeHt7o2PHjoiJiZFa/8GDB+jUqRO8vb0RERGBOXPmYOLEidi1a1eF9pODByIiIiJSGAKBoNIe72LZsmUYOXIkRo0aBVdXVyxfvhzW1tZYs2aN1Pq//fYbbGxssHz5cri6umLUqFEYMWIElixZ8iFOU7k4eCAiIiIiqkL5+fm4dOkS/Pz8JMr9/Pxw5swZqW3Onj1bpn779u1x8eJFFBQUVFhfebclIiIiIlIYSpV4t6W8vDzk5eVJlKmrq0NdXV2iLCkpCUVFRTA1NZUoNzU1RUJCgtRtJyQkSK1fWFiIpKQkmJubf4AjKIvJAxERERFRBQgMDISenp7EIzAwsNz6r091EolEb5z+JK2+tPIPickDERERESmMivxg/brZs2dj6tSpEmWvpw4AYGxsDGVl5TIpQ2JiYpl04SUzMzOp9VVUVGBkZCRnz8vH5IGIiIiIqAKoq6tDV1dX4iFt8KCmpgZPT08cOXJEovzIkSNo1qyZ1G17eXmVqX/48GE0bNgQqqqqH+4gXsPBAxEREREpDIFAqdIe72Lq1Kn4888/sX79ekRFRWHKlCmIiYmBv78/gJIUY+jQoeL6/v7+ePToEaZOnYqoqCisX78e69atw/Tp0z/o+Xodpy0REREREVWxfv36ITk5GQsWLEB8fDzq1KmDgwcPwtbWFgAQHx8v8Z0P9vb2OHjwIKZMmYJff/0VFhYW+OWXX9CrV68K7adA9HJlBdEnaOW15VXdBXrBVteqqrtAL+QX5Vd1F+iFPmNmVnUX6IWc4DtV3QV6hYayVpXte/OddZW2ryG1RlbavioLpy0REREREZFMOG2JiIiIiBRGZd5tqTpi8kBERERERDJh8kBERERECkNQid8wXR0xeSAiIiIiIplw8EBERERERDLhtCUiIiIiUhhcMC0fJg9ERERERCQTJg9EREREpDCUuGBaLkweiIiIiIhIJkweiIiIiEhhCAS8di4Pnj0iIiIiIpIJkwciIiIiUhj8kjj5MHkgIiIiIiKZMHkgIiIiIoXB73mQD5MHIiIiIiKSCZMHIiIiIlIYXPMgHyYPREREREQkEyYPRERERKQwuOZBPkweiIiIiIhIJkweiIiIiEhhKHHNg1yYPBARERERkUyYPBARERGRwuCaB/kweSAiIiIiIplw8EBERERERDLhtCUiIiIiUhgCXjuXC88eERERERHJhMkDERERESkMLpiWD5MHIiIiIiKSCZMHIiIiIlIYAn5JnFyYPBARERERkUyYPBARERGRwlDimge5MHkgIiIiIiKZVJvBw7Bhw9CjR48Pvt2EhAS0a9cOQqEQ+vr6H3z7H1JFnYO32bBhw1vPTVX1jYiIiOhVgkr8rzp6p2lLw4YNQ2pqKvbu3VtB3Xm7hw8fwt7eHhEREahXr16F7+/nn39GfHw8IiMjoaenJ7VOQEAA5s+fj/bt2yM4OFjitcWLF+Orr75Cq1atEBoaWuH9/VitWLECIpGoqrvxwV0Lvo7L/0QiOyUbhtYG8B7WHBZuFuXWf3zjCcI2nsbz2BQIDbTQoHt91GlfW2rdO2F3cXj5Udg3skPnrzqKy/Nz8nF+2wVEn3+A7PQc1LAzhveIFjCtafLBj686EolEOLL5OM4fDEd2Zg5sXKzx2fiuMLMzLbdNwsOnOLTpGB7ffYyUp6no5t8J3j2bV2KvPz0ikQjHt5xA+H+XkJOZC2tnS3Qd1wmmtm/+d3o97CaObgrB8/gUGJoboN3nrVG7uatEnbSkdBxafxR3Lt5DYX4BjCyN0HNyN1g6lfzuZaZkInj9Udy7fB+5Wbmwq2OLLl92hLGlUYUdb3Xk7d4EM/r4w7OWOyyMzNBj3kjsO3OoqrtV7YhEIvz261rs+nsX0tMz4F63DmbPnY2aTo5vbJeenoFVK1bh2JHjSE9Ph6WVJabNmALvVt4AgB3bdmDHtp148vgJAMCxpgPGfPkFWrRsUeHHRNVbtUkeKsr9+/fh6ekJJycnmJiU/0fP3NwcISEhiIuLkygPCgqCjY1NRXezwohEIhQWFsq9HT09vY8+uXlXd0/fw6kNp9GwZwP0+6kPLFzNsX/RAWQ8y5BaP/1pOvYvOgALV3P0+6kPPHs2wMmgMNw7d79s3WcZOL3pLCxczcu8dnxNKGKvxKHtxDYYsLQfrD2ssW/BfmQmZ37wY6yOQnecwsndp9FjfFdMWjkWOgba+GNWEHKz88ptU5BXACMzA3Qa0R46htqV2NtP16m/T+P07rPoOrYTxq4YDW0DbQTN2Yy8N5znmKhYbA/cifpt6mLCan/Ub1MX2wJ3IvZW6ftqTkYOfp+2Hsoqyvj8u0GYtHYcOo3yg4ZQA0DJe9b/FmxHSkIKBn/bH+NWjYG+iR6C5mxGfm5+hR93dSLU0MKV6JsYv+qbqu5KtRa0bgM2b/wfZs2dhS07/gcjYyP4j/JHVlZWuW0K8gvgP8ofTx4/wZLlP2HfgT34dv43MDEt/ZxiYmqKSVMm4K+/t+Cvv7egcZPGmDR+Cu7dLfs3R9EIBIJKe1RHH3TwcPPmTXTq1Ana2towNTXFkCFDkJSUJH7dx8cHEydOxMyZM2FoaAgzMzMEBARIbOPWrVto0aIFNDQ04ObmhqNHj0IgEIjTDnt7ewBA/fr1IRAI4OPjI9F+yZIlMDc3h5GREcaNG4eCgoI39nnNmjVwdHSEmpoanJ2dsXnzZvFrdnZ22LVrFzZt2gSBQIBhw4aVux0TExP4+flh48aN4rIzZ84gKSkJnTt3LlM/KCgIrq6u0NDQgIuLC1avXi1+7eHDhxAIBNixYwe8vb2hqamJRo0a4c6dOwgPD0fDhg2hra2NDh064NmzZ2W2PX/+fJiYmEBXVxdjxoxBfn7pH0yRSITFixfDwcEBmpqa8PDwwM6dO8Wvh4aGQiAQ4NChQ2jYsCHU1dVx6tQpXLlyBb6+vtDR0YGuri48PT1x8eJFif0eOnQIrq6u4r7Fx8eLX3t92pKPjw/Gjx+P8ePHQ19fH0ZGRpg7d+4nlU5E7r8Ct9YuqN3WDYZWBvAe3gLaRtq4dviG1PrXD9+AjrE2vIe3gKGVAWq3dYOrrwsi/rkiUa+4qBhHVhxFk36NoGuqK/FaYV4h7p+LRrMhXrB0s4C+uV5JPRMdXC9nv1RKJBLh1J7TaDPAB+4tasPM3hT9Z/RGfl4BIo5fKbedtbMVunzREfV860JFlfeZeBuRSITTe8/Dp783ajd3hamdCXpP64GCvAJcCb1Wbrsze8/DsYEjWvXzRg1rY7Tq5w3HevY4s/e8uM7Jv09Dr4Yeek3tDmtnSxiY6sOxvgOMLAwBAMmPnyP2Vhy6je8MK2dL1LAyRrdxnZGXk48rodcr/Nirk+DwEHyz4SfsCfuvqrtSbYlEImzZ9BdGjRmJtu3awMmpJhYGfofc3Fwc/Lf8875n916kpaXj55XLUL9BPVhYWqCBZ304uziL6/j4toJ3K2/Y2dnCzs4WEyaPh5aWFq5evVoZh0bV2AcbPMTHx6NVq1aoV68eLl68iODgYDx9+hR9+/aVqLdx40YIhUKcP38eixcvxoIFC3DkyBEAQHFxMXr06AEtLS2cP38ev//+O77++muJ9hcuXAAAHD16FPHx8di9e7f4tZCQENy/fx8hISHYuHEjNmzYgA0bNpTb5z179mDSpEmYNm0arl+/jjFjxmD48OEICQkBAISHh6NDhw7o27cv4uPjsWLFijeegxEjRkjsb/369Rg0aBDU1NQk6v3xxx/4+uuv8f333yMqKgqLFi3CN998IzHwAIB58+Zh7ty5uHz5MlRUVDBgwADMnDkTK1aswKlTp3D//n18++23Em2OHTuGqKgohISEYOvWrdizZw/mz58vfn3u3LkICgrCmjVrcOPGDUyZMgWDBw/GiRMnJLYzc+ZMBAYGIioqCnXr1sWgQYNgZWWF8PBwXLp0CbNmzYKqqqq4fnZ2NpYsWYLNmzfj5MmTiImJwfTp0994vjZu3AgVFRWcP38ev/zyC37++Wf8+eefb2zzsSgqKEJi9DNYe1hLlFt7WCPhdoLUNgl3npapb1PPGs/uP0NRYZG4LHznRWjqasKtjevrm0BxcTFExSIoqypLlCurqeBJlPT9UqnnCSnIeJ6JWp41xWUqaipwqGuHRzdjqrBn1UtKQioyUzJRs0HptAsVNRXYudsh5mZcue1iomLh1MBBoszJ0xExUbHi51HnbsPSyRxbv/8bi/r/hFXj1iL8v0vi1wsLSpLSVwd5SspKUFZRxqMb/BnTx+Vx3GMkJSXBq5mXuExNTQ2eDT1xJbL8CxonQk6grkddBC78Ab7ebdCzW2/8uXYdioqKpNYvKirCfweDkZOTAw+Puh/8OD41AihV2qM6+mCX0NasWYMGDRpg0aJF4rL169fD2toad+7cQa1atQAAdevWxbx58wAATk5OWLVqFY4dO4Z27drh8OHDuH//PkJDQ2FmZgYA+P7779GuXTvxNmvUqAEAMDIyEtd5ycDAAKtWrYKysjJcXFzQuXNnHDt2DKNHj5ba5yVLlmDYsGEYO3YsAGDq1Kk4d+4clixZAl9fX9SoUQPq6urQ1NQssy9punTpAn9/f5w8eRKenp7YsWMHwsLCsH79eol63333HZYuXYqePXsCKElTbt68ibVr1+Lzzz8X15s+fTrat28PAJg0aRIGDBiAY8eOoXnzkrnWI0eOLDM4UlNTw/r166GlpYXatWtjwYIFmDFjBr777jvk5ORg2bJlOH78OLy8St6oHBwcEBYWhrVr16JVq1bi7SxYsEDivMfExGDGjBlwcXEBUPKze1VBQQF+++03ODqWfFgYP348FixY8MbzZW1tjZ9//hkCgQDOzs64du0afv7553J/Xh+TnIxciIpF0NLTkijX0tNEdmq21DZZqdmw0dN8rb4WiouKkZuRC6GBEPG34nHz2C30X9JH6jbUNNVgVssU4TsvwcDKAFp6mrh7+h6e3n0KfXPpa3KoVMbzkill2gaSU4909LWRkphaBT2qnjJSSqbQvX6etfWFSE1MK7ddZkomtPVfb6ONjOelU/JSElJw4cBFNO/phVb9WiDuzmP8+1swVFRVUL+tB2pYG0PfRA+HNxxDjwldoKqhhtN7ziIzJVNiO0Qfg5ezM4yMDSXKjYyN8ORJvLQmAIC4uMd4cj4cnbp0xK+/rcSjRzEI/O4HFBYVwn/sGHG9u3fuYsiAz5Gfnw8tLU38/MtSONZ881oKorf5YIOHS5cuISQkBNraZecD379/X2Lw8Cpzc3MkJiYCAG7fvg1ra2uJD+qNGzeWuQ+1a9eGsnLpFVlzc3Ncu1Z+RB4VFYUvvvhCoqx58+ZvTRjKo6qqisGDByMoKAjR0dGoVatWmeN99uwZYmNjMXLkSIkPyYWFhWUWZL/a1tS0ZDGnu7u7RNnLc/eSh4cHtLRKP9B6eXkhMzMTsbGxSExMRG5ursSgAADy8/NRv359ibKGDRtKPJ86dSpGjRqFzZs3o23btujTp494oAAAWlpaEs9f/bmWp2nTphLzAb28vLB06VIUFRVJ/BxfysvLQ16e5HzpgvxCqKpV4TQSqdMZ3zDHscz8x5fTtATIz8nH4V+OobV/K2jqar7eUqzdxDY4tjoEG77YBIGSADUcaqBWCyc8e5BUbhtFdflYJHat2Cd+PmLhUABlf0IiQMrPhmQVefwq9q38V/x86PyBJf9T5pSK3n6aX3tdJJJsIxKJYOlkAb9hbQAAFjXNkfjoGc4fuIj6bT2grKKMgXP7Yvfyf7Cw72IoKQngWN8BtRrWBFFVO7D/IL4LWCh+vuq3XwCgzNz4kn/35f+yFBcXw9DQEN/O/wbKyspwq+2GZ4nPsHH9JonBg52dHXbs3oaMjAwcPXwM38z5Fus2/qnwA4jquhahsnywT13FxcXo2rUrfvzxxzKvmZuXLvp8daoLUPIDLC4uBvD2X5a3edO2y/Ouv7BvM2LECDRp0gTXr1/HiBEjyrz+sj9//PEHmjRpIvHa6x+YXz2el316vextxyet7oEDB2BpaSnxurq6usRzoVAo8TwgIAADBw7EgQMH8N9//2HevHnYtm0bPvvsszL9erm/D71+ITAwUGIKFgB08G+PTmM7fND9yEJTRwMCJUGZlCE7LQda+tI/+Av1taTWV1JWgoaOOp7HpiAjMQP//lA6z/XlOfy1728Y/MsA6JnpQc9MDz0X9EBBbgHyc/IhNBAieNlh6JrofOCj/PS5ebnCxqV0qtjLKS0ZKZnQNSpdT5KZmgkdfS6Efl+uTZ1h7WIlfv7yPGc+z4SuYem/y8zU7DLJwqu0DbSRmSKZDmSlZUkkGDqGOqhhU0OiTg1rY1w/HSV+bulkgQm/+iM3KxdFBUUQ6guxZvKfsHQqewMCosrk07oV3OvWET/Pzy9Zl5n0LFk8swIAnic/h5GRYZn2L9WoYQwVFRWJzw0ODvZISkpCQX4BVNVK/iarqqnCxrbkpi2169TGjes3sGXzVnw7f+4HPS5SLB9s8NCgQQPs2rULdnZ2UFF5v826uLggJiYGT58+FV9pDw8Pl6jzcv1AefP63oWrqyvCwsIwdOhQcdmZM2fg6lp2rrmsateujdq1a+Pq1asYOHBgmddNTU1haWmJ6OhoDBo06L33U54rV64gJycHmpolH2DPnTsHbW1tWFlZwcDAAOrq6oiJiZGYoiSrWrVqoVatWpgyZQoGDBiAoKAg8eDhfZw7d67McycnJ6mpAwDMnj0bU6dOlSj78+7v771/eSirKsPEoQZir8bBsUnpHO3Yq3Gwb2QntY1ZLVM8uPRIoiz2SixqONaAsooyDCz1MWCZ5Bqhc1svoCCnAN4jmkPbSPJDl6qGKlQ1VJGbmYeYyFg0G+IFkqShpQ4NrdKBsUgkgo6hNu5cvgfLmiW39SwsKET01YfoNLJ9VXXzk6eupQ71186ztoE27kVEw6JmyQf2woIiPLz2EO1HtC13Ozau1rh3ORrNPyv9t3z3cjRsXEsHgDZu1kiKS5Zol/Q4GQYmZaftvbwDU9LjZDy++wRth/i+3wESfSBCoVDi4pxIJIKxsTHOnT0HV7eSacEF+QW4dPESJk2dVO526tWvh/8O/Ifi4mIoKZXMq3/0KAY1ahiLBw7SiERAQQHvOqZUTb9/obK886f8tLQ0REZGSpQZGhpi3Lhx+OOPPzBgwADMmDEDxsbGuHfvHrZt24Y//vij3A+Er2rXrh0cHR3x+eefY/HixcjIyBAvmH555d3ExASampoIDg6GlZUVNDQ0yv3+hbeZMWMG+vbtiwYNGqBNmzbYv38/du/ejaNHj77X9l46fvw4CgoKyr01aUBAACZOnAhdXV107NgReXl5uHjxIlJSUsp8OH5X+fn5GDlyJObOnYtHjx5h3rx5GD9+PJSUlKCjo4Pp06djypQpKC4uRosWLZCeno4zZ85AW1tbYr3Fq3JycjBjxgz07t0b9vb2iIuLQ3h4OHr16iVXX2NjYzF16lSMGTMGly9fxsqVK7F06dJy66urq5dJSKpyylK9rh44svIYTBxqwMzZDDeO3ERmUgbq+JV8b8OZLeeQlZyFdhNLplfU8auNq8HXcWrDadRu64aE2wm4efwW/CaXfJhSUVOBkY3kfejVhSXH+2r5o8gYQAQYWOgjNSENZzafhYGFPlx9nUFvJhAI4P1ZcxzfegLGFkaoYWmMY9tCoaauivqtPcT1ti7+G3pGuuIBRWFBIZ7GlEzDKyooQlpSOh7ffwJ1DXV+d4AUAoEAzXs0wYntp2BkYQhjSyOEbj8FVXVVePiUTr38e8ke6BrpoP3wkt8Br+5N8OeMIJzcEQZXLxdEnb2F+xHR+GLJcHGb5j2aYu209QjddgruLWsj7vZjhP93GT0mdhHXuXbqBoR6QujX0EPCw6c48Fsw3Lxc4OSp2FM13pVQQws1Le3Ez+3NrOHh6Ibn6amIffak6jpWjQgEAgwaOhDrfl8HG1sb2NjaYN3v66ChoYFOXUq/3+frWXNhYmKCSVMnAgD69u+DrVu24cdFizFg8ADEPIrBn7+vw8BBA8Rtfvl5JVp4N4epuRmys7IQfPAQLoZfxOrff63046Tq5Z0/eYWGhpaZH//5559jw4YNOH36NL766iu0b98eeXl5sLW1RYcOHcSj4rdRVlbG3r17MWrUKDRq1AgODg746aef0LVrV2holFxBUlFRwS+//IIFCxbg22+/hbe393t/+VqPHj2wYsUK/PTTT5g4cSLs7e0RFBRU5vav7+r1KT+vGzVqFLS0tPDTTz9h5syZEAqFcHd3x+TJk+XaLwC0adMGTk5OaNmyJfLy8tC/f3+J2+F+9913MDExQWBgIKKjo6Gvr48GDRpgzpw55W5TWVkZycnJGDp0KJ4+fQpjY2P07NmzzBSidzV06FDk5OSgcePGUFZWxoQJE8qsQfmYOTWvidyMXITvvISslCwY2Riiy5zO0K1RMk0jOyUbGUmlUzB0TXXRdU5nhG04jWvB1yE0FKLl8Bao2fTdPtDkZ+fj7JbzyEzOhIa2BhybOqDpgMZQVnn7AJ0An77eKMgrwJ5V/yAnIxc2LlYYHThcIqFITUyTmL6YnpyB5V+W/sE9sTMMJ3aGwaGuPb5cMqpS+/+p8O7THAX5hfjn14PIzcyBlbMVhn8/RCKhSHvtPNu6WaPfrN44suk4jm4OgaG5IfrP7i0xJcrK2RKDvumHwxuOIeSvEzAwM0DnMe1Rr3XpGrGM55n47/fDJdPRDHVQr01d+A5497RV0TWs5YHQpX+Ln//8ZQAAYMPhHRj+k3wXuqjU8JHDkJebh0ULApGeng73unWw5s81Ep8lEuITJD5LmZmb4bc/V+OnH5aiT4++MDE1waDBAzF81DBxneTkZHw9ay6ePUuCto42atVywurff4VXs6aVeXgfJa55kI9A9JHfWP/06dNo0aIF7t27J7Eglz5tPj4+qFevHpYvXy7XdlZek689fTi2ulZvr0SVIr+I0xI+Fn3GzKzqLtALOcF3qroL9AoNZa23V6ogRx8fqLR9tbUs+11fn7qP7tuO9uzZA21tbTg5OeHevXuYNGkSmjdvzoEDEREREVEV++gGDxkZGZg5cyZiY2NhbGyMtm3bvnEePBERERGRrARcMC2Xj27wMHToUIm7H1H19L7rVIiIiIio6nx0gwciIiIioorCBdPyke02SEREREREpPCYPBARERGRwhDw2rlcePaIiIiIiEgmTB6IiIiISGEocc2DXJg8EBERERGRTJg8EBEREZHC4Pc8yIfJAxERERHRJyQlJQVDhgyBnp4e9PT0MGTIEKSmppZbv6CgAF999RXc3d0hFAphYWGBoUOH4smTJ++8bw4eiIiIiEhhCASCSntUlIEDByIyMhLBwcEIDg5GZGQkhgwZUm797OxsXL58Gd988w0uX76M3bt3486dO+jWrds775vTloiIiIiIPhFRUVEIDg7GuXPn0KRJEwDAH3/8AS8vL9y+fRvOzs5l2ujp6eHIkSMSZStXrkTjxo0RExMDGxsbmffP5IGIiIiIFIagEv+rCGfPnoWenp544AAATZs2hZ6eHs6cOSPzdtLS0iAQCKCvr/9O+2fyQERERERUAfLy8pCXlydRpq6uDnV19ffeZkJCAkxMTMqUm5iYICEhQaZt5ObmYtasWRg4cCB0dXXfaf9MHoiIiIhIYVTmmofAwEDxouaXj8DAQKn9CggIeOv2Ll68KD6G14lEIpnWWRQUFKB///4oLi7G6tWr3/n8MXkgIiIiIqoAs2fPxtSpUyXKyksdxo8fj/79+79xe3Z2drh69SqePn1a5rVnz57B1NT0je0LCgrQt29fPHjwAMePH3/n1AHg4IGIiIiIFIhSJU68eZcpSsbGxjA2Nn5rPS8vL6SlpeHChQto3LgxAOD8+fNIS0tDs2bNym33cuBw9+5dhISEwMjISLaDeA2nLRERERERfSJcXV3RoUMHjB49GufOncO5c+cwevRodOnSReJOSy4uLtizZw8AoLCwEL1798bFixexZcsWFBUVISEhAQkJCcjPz3+n/XPwQERERET0CdmyZQvc3d3h5+cHPz8/1K1bF5s3b5aoc/v2baSlpQEA4uLi8M8//yAuLg716tWDubm5+PEud2gCOG2JiIiIiBRIRX55W2UxNDTE//73vzfWEYlE4v+3s7OTeC4PJg9ERERERCQTJg9EREREpDAq6svbFAWTByIiIiIikgmTByIiIiJSGNVhzUNVYvJAREREREQyYfJARERERAqDax7kw+SBiIiIiIhkwuSBiIiIiBQGkwf5MHkgIiIiIiKZMHkgIiIiIsXBuy3JhckDERERERHJhMkDERERESkMrnmQD5MHIiIiIiKSCZMHIiIiIlIY/IZp+TB5ICIiIiIimTB5ICIiIiKFwTUP8mHyQEREREREMmHyQEREREQKg8mDfJg8EBERERGRTDh4ICIiIiIimXDaEhEREREpDN6qVT5MHoiIiIiISCZMHoiIiIhIYXDBtHyYPBARERERkUyYPBARERGRwmDyIB8mD0REREREJBMmD0RERESkMHi3JfkweSAiIiIiIpkweaBPmq9Vy6ruAr0gEomqugv0wrXn16q6C/RCTvCdqu4CvaDZoVZVd4FeIToSV2X75poH+TB5ICIiIiIimTB5ICIiIiKFwTUP8mHyQEREREREMmHyQEREREQKg2se5MPkgYiIiIiIZMLkgYiIiIgUBpMH+TB5ICIiIiIimTB5ICIiIiKFwbstyYfJAxERERERyYSDByIiIiIikgmnLRERERGRwuCCafkweSAiIiIiIpkweSAiIiIihcHkQT5MHoiIiIiISCZMHoiIiIhIYfBWrfJh8kBERERERDJh8kBERERECoTJgzyYPBARERERkUyYPBARERGRwuCaB/kweSAiIiIiIpkweSAiIiIihcHveZAPkwciIiIiIpIJkwciIiIiUhhMHuTD5IGIiIiIiGTC5IGIiIiIFAbvtiQfJg9ERERERCQTJg9EREREpDC45kE+TB6IiIiIiD4hKSkpGDJkCPT09KCnp4chQ4YgNTVV5vZjxoyBQCDA8uXL33nfHDwQEREREX1CBg4ciMjISAQHByM4OBiRkZEYMmSITG337t2L8+fPw8LC4r32zWlLRERERKQwPvVpS1FRUQgODsa5c+fQpEkTAMAff/wBLy8v3L59G87OzuW2ffz4McaPH49Dhw6hc+fO77V/Dh6IiIiIiCpAXl4e8vLyJMrU1dWhrq7+3ts8e/Ys9PT0xAMHAGjatCn09PRw5syZcgcPxcXFGDJkCGbMmIHatWu/9/45bYmIiIiIFIZAIKi0R2BgoHhdwstHYGCgXP1PSEiAiYlJmXITExMkJCSU2+7HH3+EiooKJk6cKNf+OXggIiIiIqoAs2fPRlpamsRj9uzZUusGBAS8dTBy8eJFANK/q0IkEpX7HRaXLl3CihUrsGHDBrm/54LTloiIiIhIYVTmmod3maI0fvx49O/f/4117OzscPXqVTx9+rTMa8+ePYOpqanUdqdOnUJiYiJsbGzEZUVFRZg2bRqWL1+Ohw8fytRHgIMHIiIiIqIqZ2xsDGNj47fW8/LyQlpaGi5cuIDGjRsDAM6fP4+0tDQ0a9ZMapshQ4agbdu2EmXt27fHkCFDMHz48HfqJwcPRERERKQw5J22U9VcXV3RoUMHjB49GmvXrgUAfPHFF+jSpYvEYmkXFxcEBgbis88+g5GREYyMjCS2o6qqCjMzszfenUkarnkgIiIiIvqEbNmyBe7u7vDz84Ofnx/q1q2LzZs3S9S5ffs20tLSPvi+mTwQERERkcL41L/nAQAMDQ3xv//97411RCLRG19/l3UOr2LyQEREREREMmHyQEREREQK5NNPHqoSkwciIiIiIpIJkwciIiIiUhjMHeTD5IGIiIiIiGTC5IGIiIiIFMan/j0PVY3JAxERERERyYTJAxEREREpECYP8mDy8Any8fHB5MmTq7ob70wgEGDv3r1V3Q0iIiIiek9MHt5TQkICAgMDceDAAcTFxUFPTw9OTk4YPHgwhg4dCi0traruolwCAgIwf/58tG/fHsHBwRKvLV68GF999RVatWqF0NDQqungJ0QkEmHHn7twZN8xZGVkwcmtJkbNGA4bB+ty25wLuYDdG/ciPu4pigqLYG5thq4DO8Ono3cl9vzTJxKJsGPdLhzddxxZ6VmoWbsmRk8fDmsHq3LbHNl3HCf+O4XY6FgAgIOzPQb694NT7ZriOjlZOdj2+984f/Ii0p+nwa6WHUZMGYqabo4VfkyfCpFIhBN/heFScCRyM3Nh6WyBTl/6wcS2xhvb3Tx9CyGbTyIlPhUG5vpoPbQVXJs5i18PP3AZFw9eRurTNACAia0xWg5oAaeGped+fudAqdtuO8IXzXs1/QBH92kTiUT47de12PX3LqSnZ8C9bh3MnjsbNZ3e/O83PT0Dq1aswrEjx5Geng5LK0tMmzEF3q1K3pd2bNuBHdt24snjJwAAx5oOGPPlF2jRskWFH1N15+3eBDP6+MOzljssjMzQY95I7DtzqKq79cli7iAfDh7eQ3R0NJo3bw59fX0sWrQI7u7uKCwsxJ07d7B+/XpYWFigW7duVd3NchUVFUEgEEBJ6c3Bk7m5OUJCQhAXFwcrq9IPW0FBQbCxsanoblYbezfvx/6tBzH+G39Y2JhjZ9AeLJi4CCu3L4OmUFNqG21dbfQa9hksbS2goqqCi6cv49eFv0HPQBf1m3pU8hF8uvb+bz/+3fofxn0zBhbW5ti5YQ8WTFqEX7YtLffc37h8Ey3aNYOzuxPU1FSx93//4rvJP+DnLYthZGIIAFgT+AdiomMx8dsvYWBsgJOHwrBg4iL8/NdP4jqK7vTOczi75wJ6TOkCI0tDnNx+GpvnbsP4tV9AXUtdapvYqDjs/GEvfIe0hKuXM6LO3sbOH/Zi+OLBsHKxBADoGuug7TAfGFoYAAAij17Htu92YswvI8QDk2mbJ0hs9+6laPyz4gDcXhmEKLKgdRuweeP/sGDRfNja2eKP3/6A/yh/7Du4F0KhUGqbgvwC+I/yh6GhIZYs/wmmpiZISHgKobD0QpmJqSkmTZkAa9uSvw/79+7HpPFTsH3XtrcOTOjNhBpauBJ9E0GHd2D3vD+qujuk4Dht6T2MHTsWKioquHjxIvr27QtXV1e4u7ujV69eOHDgALp27QoASEtLwxdffAETExPo6uqidevWuHLling7AQEBqFevHjZv3gw7Ozvo6emhf//+yMjIENfJysrC0KFDoa2tDXNzcyxdurRMf/Lz8zFz5kxYWlpCKBSiSZMmEonAhg0boK+vj3///Rdubm5QV1fHo0eP3nqcJiYm8PPzw8aNG8VlZ86cQVJSEjp37ixRNzw8HO3atYOxsTH09P7f3r3H5Xj/fwB/3aWDdNBBJK2kAyWH5BDGchrxxfhurJwWM2OYHMZ8nY9jjnOeEmaYOY05TSWKMKUcSskhSiKUdKD7vn9/mHvuVdZ+m+tzz/V6Ph4ej+7Pdd3dr+5Lh/f1OVmgbdu2iIuLe+Xnz8jIQJ8+fWBpaQlra2v06NEDN27c+NNc/yZqtRr7tx9E70E90cKvGd6q44CRUz9FcdFTnDgSU+7z6jfxQPN3mqJWbXvUqFUd3fp0gWOdt5CccEXC9P9uarUaP28/hF6DeqDFO7+991NevPcny33e5zM+Q+feHVHbzQn2TvYYNuljqFVqXPj1IgCguOgpYo+dQf8RAfBoXA92DjXQZ8h/YVvTFkd2H5Xqy9NparUap/eexdt9WqJeK3fYOlVDz+BueFb8DBeiLpf7vNN7f0WdxrXx9gctYeNgjbc/aInaDR1xeu9ZzTnuzV3h2tQF1vbWsLa3RvuBbWFobIjbyZmac0ytTLX+XYlNQe0GjrC0s3ytX/e/gVqtxpZN32PIJ4PRoWN7uLq6YPa8WSgqKsKB/QfLfd7uXXuQm5uHJd8sRmPvRqhpXxPeTRrDve7vBdk7fm3xdtu34eTkCCcnR4z8/DOYmJggMTFRii/tjXbobCSmhC3E7ujyrxGRVFg8/EU5OTk4cuQIRowYUe4dGoVCAbVaja5duyIrKwsHDhzAuXPn4O3tjfbt2+PBgweac9PS0rBnzx7s378f+/fvR1RUFObPn685Pn78eERGRmL37t04cuQIjh07hnPnzmm93kcffYSYmBhs27YNiYmJeP/999G5c2ekpqZqzikoKMC8efOwfv16XLp0Cba2thX6eoOCghAWFqZ5HBoaisDAQBgaGmqd9/jxYwwcOBAnTpxAbGwsXF1d4e/vr1UIvaygoAB+fn4wNTXF8ePHER0dDVNTU3Tu3BlPnz6tULZ/g7uZ2XiU8wgNm3tp2gwMDeDZuB6uXEip0OdQq9VIPHsRmel34NGo7uuK+sbJfvHeN2ugaTMwNIDHX3jvAeBpUTGUJSUwNTcFAKiUSqiUKhgYGmidZ2hkgCQWdwCAR1mPkP/wCep419a0VTKoBKf6b+F20u1yn3crOQPOjWtrtdXxdsatpIwyz1cpVbgYdRnPip7BoZ59mefkP3yC1LNpaNyJPXYAkHE7A/fv34dvS19Nm6GhIZr4NEHC+YRynxcVGYUGDRtg3uz58Hu7PXp1/y/Wrw2BUqks83ylUomDBw6hsLAQDRs2KPMcInEUEv5783DY0l909epVqNVquLtrd3/b2NigqKgIADBixAi8++67uHDhArKzs2Fk9LyL/uuvv8aePXvw448/YujQoQAAlUqFsLAwmJmZAQD69++P8PBwzJkzB/n5+QgJCcGmTZvQsWNHAMDGjRu1hhClpaVh69atuH37NmrWrAkAGDduHA4dOoQNGzZg7ty5AIBnz55h1apVaNjwr/0C7datG4YNG4bjx4+jSZMm+OGHHxAdHY3Q0FCt89q1a6f1eO3atbC0tERUVBS6detW6vNu27YNenp6WL9+vWa95Q0bNqBq1ao4duwYOnXq9Jdy6qpHOc/HZVe1stBqt7CywL2s+6987pP8Agz9z3A8e1oCPX09fDz+IzRszl/CFfWwnPe+qpX5n773L/tu1TZYVbNCg6b1AQCVq1SGW31X/LhhN2o52cPCygIxv5xE6qU02DnU+Oe+gH+x/IdPAACmVbVvsFSpWgW593Jf8bx8mFpqP8fUsorm871w90Y2QsZuQsnTEhhWNkSf//VCtbdsyvycCeEXYFjZUGvehJzdv//8/761jfbwOmsba2Rm3in3ebdvZyDz9Fn4d+uClWu+wc2b6Zg3az5KlCUYNvwTzXmpKano/+FAPH36FCYmlbFk+SLUceGQJaI3CYuH/6c/bjBy5swZqFQqBAYGori4GOfOnUN+fj6sra21zissLERaWprmsZOTk6ZwAJ7PM8jOzgbwvDB4+vQpfH1/v0NkZWWlVbjExcVBrVbDzc1N63WKi4u1XtvQ0BANGvz1PzwNDAzQr18/bNiwAdeuXYObm1uZnyc7OxtTp05FREQE7t69C6VSiYKCAqSnp5f5ec+dO4erV69qfe0AUFRUpPX+/PFrKi4u1mp7WvwUhkaGZZ4vwvFD0Vj71XrN4y8XTQBQxoY0ajX+bI+ayibG+HrTfBQVFuHC2YsIW/YdqtesjvpNPP7p2G+E44ejse6rEM3jSV+/eO+1z1OrAUUF7wbt+W4fYn45iemrpmj9Pxs1bThWzVmLod1HQE9fD85uTmjdqSWuX7nxt7+Of6PEyIvYv+L3hRUCpn/w/IM/vPlqqP/y51Y/v2BabOytMeybIBQ9KcblmCvYs3g/Bn3Vr8wCIv6XBHi944lKhvL8dffzvgOYNX225vGKNcsBlP6ZpFarX7lxlkqlgpWVFabOmAJ9fX14eHrgXvY9bAzdpFU8ODk54Ydd2/D48WMcPRKOKV9ORcjG9SwgSKdwk7i/R54/Tf8GFxcXKBQKJCcna7U7OzsDACpXfj4JU6VSwc7OrszViKpWrar52MBAe+iDQqGASqUC8NsvzT+hUqmgr6+Pc+fOQV9fX+uYqamp5uPKlSv/v79ZgoKC0Lx5c1y8eBFBQUFlnjNo0CDcu3cPS5cuhaOjI4yMjODr61vuECSVSoUmTZpgy5YtpY5Vq1b2aizz5s3DjBkztNo+nTAUwyd+Uub5IjR9u4nWqjzPnj0DADzMeQRLm9/HW+c+zCt1R/yP9PT0NHeya7s54faNTOzatJfFQzmatm4CV4/f3/uSZyUAnvdA/PG9t/iT9x4A9m7Zj10b92Lq8i/h5KK9QECNWtUxc/VUFBUWofBJISxtLLH4f8thW/PVKwm9qdybu6KWe03N45Jnz4ey5D/Mh5nV7z+HCh4VlOpZeJmppWmpXoYnjwpK9WDoG+jDqubzO+c1Xe2QmXIHsXvP4j8ju2idd/PiLeTcfoD/ftHz//V1vQneadcWXg3qax4/ffr8Z9L9ezlaP2sf5DyAtXX5k/2rVbNBpUqVtH7PODvXxv379/Hs6TPNMD4DQwO89duEac/6nrh08RK2bN6KqTP+949+XUQkDouHv8ja2hodO3bEihUrMHLkyHLnPXh7eyMrKwuVKlWCk5PT/+u1XFxcYGBggNjYWM3qRg8fPkRKSgratm0LAGjcuDGUSiWys7Px9tuvZxlPT09PeHp6IjExEQEBAWWec+LECaxatQr+/v4AgFu3bmm6x8vi7e2N7du3ayaTV8SkSZMQHBys1Xa1oPzJlyJUrlJZaxUftVqNqtZVkXjmApzdn4/lfvasBJfik9B/xId/6XOroUbJb7/4qbRy3/uzF+Ds7gTg+Xt/OT4J/Ya/+r3f+90+7Azbg/8tnQiXes7lnmdc2RjGlY2Rn5eP86cT//I1fVMYmRhpraCkVqthalkF1+JvwK7O8wJY+UyJGxfT0eEjv3I/j0Nde1w7fx2+7zXTtF2Lv17ufIbfqaF8VnrsffyRBNi51EAN5+p/7Qt6g1SpUkXr95RarYaNjQ1iT8WinsfzOVTPnj7DuV/PYXTw6HI/T6PGjXDw54NQqVSalfpu3kxHtWo2peb/vEytBp49e3PmsRERJ0z/v6xatQolJSXw8fHB9u3bkZSUhCtXruC7775DcnIy9PX10aFDB/j6+qJnz544fPgwbty4gZMnT+J///sffv311wq9jqmpKQYPHozx48cjPDwcFy9exKBBg7SWWHVzc0NgYCAGDBiAXbt24fr16zh79iy++uorHDhw4B/7miMiInDnzh2tXpOXubi4YPPmzUhKSsLp06cRGBio6YUpS2BgIGxsbNCjRw+cOHEC169fR1RUFEaPHo3bt8ueUGlkZARzc3Otf7o0ZKksCoUC3fp0wc6Ne3H62Fmkp93CilmrYWRsiLc7tdKct3zGKny3aqvm8a6Ne5BwOhFZGXdx+0YGfvr+Z0QdOIE2nbleekUpFAp07dMZu15671fOWvPbe99Sc97yGauwZdU2zeM93+3D1nU7MHzyJ6hmVw0Pcx7hYc4jFBYUac45H5uA+FMJuJuZjYQzFzD9szmo+ZYd/Lq1lfRr1FUKhQLNezTFiR9OIunkFWTfuIc9S/bDwMgAXm1/7znbvWgfjoYd0zxu3t0HaXHXEb3jFO7fykH0jlO4dv4GmvdoqjknfOMx3Lx4C4/uPsLdG9kI3xiFGxfS4eXnqZWhuKAYl6OT4f0uJ0q/TKFQIHBAAELWhSD8aARSU69iyuSpMDY2hn+333tuJk/8H5YtXq55/EHf9/HoUS6+mrsAN27cxPGoE1i/LgR9PuyjOWf5km8Q92scMjIykZqSim+WrsCvZ3+Ffzd/Sb/GN1EVYxM0rOOBhnWef//UruGAhnU84FCt5p88k+ifx56H/4c6deogPj4ec+fOxaRJk3D79m0YGRnBw8MD48aNw/Dhw6FQKHDgwAFMnjwZQUFBuHfvHmrUqIE2bdqgevWK3wVbuHAh8vPz0b17d5iZmWHs2LHIzdWecLhhwwbMnj0bY8eORUZGBqytreHr66vpBfgnlNfD8kJoaCiGDh2Kxo0b46233sLcuXMxbty4cs83MTHB8ePH8cUXX6BXr154/Pgx7O3t0b59+wr3RPxb9Oz/Hzwtfop1C0OfbxLnWQdTl32pdZf8ftZ9rWFlRYXFWLdwAx7cy4GhkSHsHWti9PQRaNXRt6yXoHL07Pf8vf/26w2/bdBXB1OWTtJ+7+/maBXkh3f+gpJnJfj6y6Van+v9wb3QZ8h/AQAF+YXYsmYbcrIfwNTcFC3eaYoPh/VBpUr8kfpCq/+2QMnTEhxYdRiF+UWo5V4T/Wf11eqhyL2Xp/X/3sGjFv77RU9EbI5C5HfHYVXDEv/9oqdmjwfg+WTs3Yv2If9BPoyqGKG6ky0CZ/ZBnT+s0nQx6jLUUKN+Ww7z+6OPBg9CcVEx5s6ch7y8PHg1qI/V61dr/ZzPupOl9X1Rw64G1qxfhYXzF+H9nh/AtrotAvsF4KMhgzTn5OTkYPLE/+HevfswNTOFm5srVq1bCd+W3Jjv7/Jxa4hji3ZoHi/5dDoAIOzID/hoYXA5z6LyVHTeG5VNoa7IwHoiHXXx4av3kiDp8EeJ7rjw4ILoCPSbXrU/EB2BflO5s9ufn0SSUf9S/rLNr9u9ovJXFvunVTO2k+y1pMLbZEREREQkG+x5+Hs450GmTE1Ny/134sQJ0fGIiIiISAex50Gmzp8/X+4xe/s/W9mEiIiIiOSIxYNMubi4/PlJREREREQvYfFARERERLLBHab/Hs55ICIiIiKiCmHxQEREREREFcLigYiIiIiIKoRzHoiIiIhINrjPw9/DngciIiIiIqoQFg9ERERERFQhHLZERERERDLCYUt/B3seiIiIiIioQtjzQERERESywX6Hv4c9D0REREREVCHseSAiIiIi2VAo2Pfwd7DngYiIiIiIKoQ9D0REREQkI+x5+DvY80BERERERBXCngciIiIikg32O/w97HkgIiIiIqIKYc8DEREREckI+x7+DvY8EBERERFRhbDngYiIiIhkg/s8/D3seSAiIiIiogph8UBERERERBXC4oGIiIiIiCqEcx6IiIiISDYUXG3pb2HPAxERERERVQh7HoiIiIhIRtjz8Hew54GIiIiIiCqExQMREREREVUIhy0RERERkWxw0NLfw54HIiIiIiKqEPY8EBEREZFsKBTse/g72PNARERERPQv8vDhQ/Tv3x8WFhawsLBA//798ejRoz99XlJSErp37w4LCwuYmZmhRYsWSE9P/0uvzeKBiIiIiGREIeG/1yMgIADnz5/HoUOHcOjQIZw/fx79+/d/5XPS0tLQunVr1K1bF8eOHUNCQgKmTJkCY2Pjv/TaCrVarf474YlEuvgwTnQE+g1/lOiOCw8uiI5Av+lV+wPREeg3lTu7iY5AL1H/clvYaz8peSzZa1WpZPaPf86kpCR4eHggNjYWzZs3BwDExsbC19cXycnJcHd3L/N5ffv2hYGBATZv3vy3Xp89D0REREQkG1L2OxQXFyMvL0/rX3Fx8d/Kf+rUKVhYWGgKBwBo0aIFLCwscPLkyTKfo1Kp8PPPP8PNzQ3vvvsubG1t0bx5c+zZs+cvvz6LByIiIiKi12DevHmaeQkv/s2bN+9vfc6srCzY2tqWare1tUVWVlaZz8nOzkZ+fj7mz5+Pzp0748iRI3jvvffQq1cvREVF/aXX52pLRERERCQj0q22NGnSJAQHB2u1GRkZlXnu9OnTMWPGjFd+vrNnzwIoe8UotVpd7kpSKpUKANCjRw+MGTMGANCoUSOcPHkSa9asQdu2bV/9hbyExQMRERER0WtgZGRUbrHwR5999hn69u37ynOcnJyQmJiIu3fvljp27949VK9evczn2djYoFKlSvDw8NBqr1evHqKjoyuU7wUWD0REREQkG7q6z4ONjQ1sbGz+9DxfX1/k5ubizJkzaNasGQDg9OnTyM3NRcuWLct8jqGhIZo2bYorV65otaekpMDR0fEv5eScByIiIiKif4l69eqhc+fO+PjjjxEbG4vY2Fh8/PHH6Natm9ZKS3Xr1sXu3bs1j8ePH4/t27fj22+/xdWrV7FixQrs27cPw4cP/0uvz+KBiIiIiOhfZMuWLfDy8kKnTp3QqVMnNGjQoNQSrFeuXEFubq7m8XvvvYc1a9ZgwYIF8PLywvr167Fz5060bt36L70293mgfzXu86A7+KNEd3CfB93BfR50B/d50C0i93koVD6R7LUq61eR7LWkwjkPRERERCQbCglXW3oTcdgSERERERFVCIctEQlUXFyMefPmYdKkSRVeyo1eD14L3cLroTt4LXQHrwXpAhYPRALl5eXBwsICubm5MDc3Fx1H1ngtdAuvh+7gtdAdvBakCzhsiYiIiIiIKoTFAxERERERVQiLByIiIiIiqhAWD0QCGRkZYdq0aZz4pgN4LXQLr4fu4LXQHbwWpAs4YZqIiIiIiCqEPQ9ERERERFQhLB6IiIiIiKhCWDwQEREREVGFsHggIiIiIqIKYfFAREREZVKr1eC6KkT0skqiAxDJjUqlwtWrV5GdnQ2VSqV1rE2bNoJSyZNSqcTu3buRlJQEhUKBunXromfPnqhUiT8aRUhLS8OGDRuQlpaGZcuWwdbWFocOHYKDgwM8PT1Fx5OVkJAQLFmyBKmpqQAAV1dXfP755xgyZIjgZPJUUlKCY8eOIS0tDQEBATAzM0NmZibMzc1hamoqOh7JDH9DEkkoNjYWAQEBuHnzZqm7eQqFAkqlUlAy+bl48SJ69OiBrKwsuLu7AwBSUlJQrVo1/PTTT/Dy8hKcUF6ioqLQpUsXtGrVCsePH8ecOXNga2uLxMRErF+/Hj/++KPoiLIxZcoULFmyBCNHjoSvry8A4NSpUxgzZgxu3LiB2bNnC04oLzdv3kTnzp2Rnp6O4uJidOzYEWZmZliwYAGKioqwZs0a0RFJZrjPA5GEGjVqBDc3N8yYMQN2dnZQKBRaxy0sLAQlk58WLVrA1tYWGzduhKWlJQDg4cOHGDRoELKzs3Hq1CnBCeXF19cX77//PoKDg2FmZoaEhAQ4Ozvj7Nmz6NmzJzIyMkRHlA0bGxt88803+PDDD7Xat27dipEjR+L+/fuCkslTz549YWZmhpCQEFhbW2u+N6KiojBkyBBN7xCRVNjzQCSh1NRU/Pjjj3BxcREdRfYSEhLw66+/agoHALC0tMScOXPQtGlTgcnk6cKFC/j+++9LtVerVg05OTkCEsmXUqmEj49PqfYmTZqgpKREQCJ5i46ORkxMDAwNDbXaHR0dWVSTEJwwTSSh5s2b4+rVq6JjEAB3d3fcvXu3VHt2djaLOwGqVq2KO3fulGqPj4+Hvb29gETy1a9fP6xevbpU+7p16xAYGCggkbypVKoyh7Tevn0bZmZmAhKR3LHngeg1S0xM1Hw8cuRIjB07FllZWfDy8oKBgYHWuQ0aNJA6nmzNnTsXo0aNwvTp09GiRQsAz+ekzJw5E1999RXy8vI055qbm4uKKRsBAQH44osvsGPHDigUCqhUKsTExGDcuHEYMGCA6HiyExISgiNHjmh9b9y6dQsDBgxAcHCw5rzFixeLiigbHTt2xNKlS7Fu3ToAz+fH5efnY9q0afD39xecjuSIcx6IXjM9PT0oFIpylzt8cYwTpqWlp/d7x+uLuScvrtHLj3ldpPHs2TMMGjQI27Ztg1qtRqVKlaBUKhEQEICwsDDo6+uLjigbfn5+FTpPoVAgIiLiNaehzMxM+Pn5QV9fH6mpqfDx8UFqaipsbGxw/Phx2Nraio5IMsPigeg1u3nzZoXPdXR0fI1J6GVRUVEVPrdt27avMQm97Nq1a4iLi4NKpULjxo3h6uoqOhKRcIWFhdi6davme8Pb2xuBgYGoXLmy6GgkQyweiCR0/PhxtGzZstQ+AiUlJTh58iT3eSDZmjlzJsaNGwcTExOt9sLCQixcuBBTp04VlIyIiF7G4oFIQvr6+rhz506pbuacnBzY2tpyeIzEHj58iJCQEM0mcfXq1cNHH30EKysr0dFkh98bYvXq1QthYWEwNzdHr169Xnnurl27JEolXz/99FOFz+3evftrTEJUGidME0noxRj6P8rJyUGVKlUEJJKvqKgodO/eHRYWFpplKZcvX46ZM2fip59+4lAliZX3vZGQkMBiTgIWFhaa95/7zYjXs2fPCp3HOVkkAnseiCTw4k7e3r170blzZxgZGWmOKZVKJCYmwt3dHYcOHRIVUXbq16+Pli1bYvXq1ZrJuEqlEsOHD0dMTAwuXrwoOKE8WFpaQqFQIDc3F+bm5loFhFKpRH5+PoYNG4aVK1cKTElERC+w54FIAi/u5KnVapiZmWlNcjM0NESLFi3w8ccfi4onS2lpadi5c6fWKj76+voIDg7Gpk2bBCaTl6VLl0KtViMoKAgzZszQuuttaGgIJycn+Pr6CkxIREQvY/FAJIENGzYAAJycnDBu3DgOUdIB3t7eSEpKgru7u1Z7UlISGjVqJCaUDA0cOBAAULt2bbRs2bLU3ickvbt372LcuHEIDw9HdnZ2qWWmOUxGek+ePEFUVBTS09Px9OlTrWOjRo0SlIrkisOWiEiWtm/fjgkTJmDkyJFaG2GtXLkS8+fPR7169TTncvO+1yMvL0+zAd/Lm/KVhRv1SadLly5IT0/HZ599Bjs7u1JzUXr06CEomTzFx8fD398fBQUFePLkCaysrHD//n2YmJjA1tYW165dEx2RZIbFA5GEGjduXOakUIVCAWNjY7i4uGDQoEEV3qSJ/v9e3iSuLNy87/V7eYWlF5sp/hGvgfTMzMxw4sQJ9sDpiHfeeQdubm5YvXo1qlatioSEBBgYGKBfv34YPXr0n66ORfRP47AlIgl17twZq1evhpeXF5o1awa1Wo1ff/0ViYmJGDRoEC5fvowOHTpg165dvLv3ml2/fl10BNmLiIjQrKQUGRkpOA294ODgUGqoEolz/vx5rF27Fvr6+tDX10dxcTGcnZ2xYMECDBw4kMUDSY7FA5GE7t+/j7Fjx2LKlCla7bNnz8bNmzdx5MgRTJs2DbNmzWLx8JqVt5u3UqnEvn37KrxUIv3/vbwcLpfG1R1Lly7FxIkTsXbtWjg5OYmOI3sGBgaaXrnq1asjPT0d9erVg4WFBdLT0wWnIznisCUiCVlYWODcuXNwcXHRar969SqaNGmC3NxcJCcno2nTpnj8+LGglPKUnJyM0NBQbNy4EQ8fPiw1KZFer0OHDsHU1BStW7cGAKxcuRLffvstPDw8sHLlSlhaWgpO+GZ7sWTuC0+ePEFJSQlMTExKTWJ/8OCB1PFkrVOnThg0aBACAgIwbNgwxMfHY9SoUdi8eTMePnyI06dPi45IMsOeByIJGRsb4+TJk6WKh5MnT8LY2BgAoFKptPaBoNfnyZMn2L59O0JCQhAbGws/Pz/MmTOHvQ4CjB8/Hl999RUA4MKFCwgODsbYsWMRERGB4OBgzYpl9HosXbpUdAQqx9y5czU3k2bNmoWBAwfi008/hYuLC78vSAgWD0QSGjlyJIYNG4Zz586hadOmUCgUOHPmDNavX48vv/wSAHD48GE0btxYcNI326lTp7B+/Xr88MMPcHV1RWBgIE6fPo3ly5fDw8NDdDxZun79uua937lzJ/7zn/9g7ty5iIuLg7+/v+B0b74XS+aS7vHx8dF8XK1aNRw4cEBgGiIOWyKS3JYtW7BixQpcuXIFAODu7o6RI0ciICAAAFBYWKhZfYn+eR4eHigoKEBAQAD69eun+YPVwMAACQkJLB4EsbKyQnR0NDw8PNC6dWsMGDAAQ4cOxY0bNzTXjKQRFxcHAwMDeHl5AQD27t2LDRs2wMPDA9OnT4ehoaHghEQkEnseiCQWGBiIwMDAco+/vPs0/fOuXr2Kvn37ws/PT2svBxKrdevWCA4ORqtWrXDmzBls374dAJCSkoJatWoJTicvn3zyCSZOnAgvLy9cu3YNffr0Qa9evbBjxw4UFBRwiJNE2rVrV6HzIiIiXnMSIm0sHogEePr0KbKzs6FSqbTa33rrLUGJ5OP69esICwvDp59+isLCQnz44YcIDAwsc48Bks6KFSswfPhw/Pjjj1i9ejXs7e0BAAcPHkTnzp0Fp5OXlJQUzR4PO3bsQNu2bfH9998jJiYGffv2ZfEgkWPHjsHR0RFdu3blzuukUzhsiUhCqampCAoKwsmTJ7XauRGWGBEREQgNDcWuXbtQVFSEcePGYciQIXBzcxMdjUgYc3NznDt3Dq6urujYsSO6deuG0aNHIz09He7u7igsLBQdURYWLFiAsLAw5OTkIDAwEEFBQahfv77oWEQsHoik1KpVK1SqVAkTJ06EnZ1dqbvdDRs2FJRM3nJzc7FlyxaEhoYiLi4O9evXR2JiouhYsqNUKrF7924kJSVBoVCgbt266NmzJypVYie5lNq1awcHBwd06NABgwcPxuXLl+Hi4oKoqCgMHDgQN27cEB1RVk6dOoXQ0FD88MMPcHd3R1BQEAICAmBubi46GskUiwciCVWpUgXnzp1D3bp1RUehcpw/fx6hoaFYvny56CiycvHiRXTv3h13796Fu7s7gOfDZ6pVq4affvpJM3mXXr/ExEQEBgYiPT0dwcHBmDZtGoDnq8Xl5OTg+++/F5xQngoKCrBjxw6sXLkSly9fRmZmJgsIEoLFA5GEmjZtiiVLlmg2wiKi51q0aAFbW1ts3LhRsyHcw4cPMWjQIGRnZ+PUqVOCE8qDUqlEdHQ0vLy8YGVlpXWsqKgI+vr6HH8vSHR0NEJDQ7Fjxw54enoiMjKSC2yQECweiCQUERGB//3vf5g7dy68vLxK/RLmXSSSq8qVK+PXX3+Fp6enVvvFixfRtGlTjrOXkLGxMZKSklC7dm3RUWQvMzMTYWFhCAsLQ15eHvr164egoCAuKU1CcSApkYQ6dOgAAGjfvr1WOydMk9y5u7vj7t27pYqH7OzsUjuy0+v1YolWFg9i+fv7IzIyEp06dcLChQvRtWtXzv8hncCeByIJRUVFvfJ427ZtJUpCJF5eXp7m4+joaEyYMAHTp09HixYtAACxsbGYOXMm5s+fz12mJXTkyBF88cUXmDVrFpo0aYIqVapoHWcPqTT09PRgZ2cHW1vbVy4lHRcXJ2EqIhYPREQkiJ6entYfRS9+Hb1oe/kxe+Wko6enp/n4j9eH10I6M2bMqNB5Lya0E0mFxQORxE6cOIG1a9fi2rVr2LFjB+zt7bF582bUrl2bE6klFh4ejvDw8DI37AsNDRWUSj7+rCfuZeyVkw57SP+dYmJi4OPjAyMjI9FR6A3HwXNEEtq5cyf69++PwMBAxMXFobi4GADw+PFjzJ07FwcOHBCcUD5mzJiBmTNnwsfHp8w9N+j14x+huonX5d+pS5cuOH/+PJydnUVHoTccex6IJNS4cWOMGTMGAwYMgJmZGRISEuDs7Izz58+jc+fOyMrKEh1RNuzs7LBgwQL0799fdBT6DXvldAevxb/Py79TiF4nvT8/hYj+KVeuXEGbNm1KtZubm+PRo0fSB5Kxp0+fomXLlqJj0G927tyJd999F5UrVy6zV46kw2tBRK/C4oFIQnZ2drh69Wqp9ujoaN4tktiQIUO4U64OmT17NtasWYNvv/1Wa/+Tli1bcjUZifFaENGrcM4DkYQ++eQTjB49GqGhoVAoFMjMzMSpU6cwbtw4TJ06VXQ8WSkqKsK6detw9OhRNGjQoNSGfYsXLxaUTJ7YK6c7eC2I6FVYPBBJaMKECcjNzYWfnx+KiorQpk0bGBkZYdy4cfjss89Ex5OVxMRENGrUCMDzXYxfxsnT0nvRK+fk5KTVzl456fFa/Dvx5xZJhcUDkcTmzJmDyZMn4/Lly1CpVPDw8ICRkRHS09Px1ltviY4nG5GRkaIj0EvYK6c7eC10h1qtRnp6OmxtbVG5cuU/PZdIClxtiUgHJCQkwNvbm5svCXL79m0oFArY29uLjiJrkydPxpIlS1BUVAQAml65WbNmCU4mP7wWukGlUsHY2BiXLl2Cq6ur6DhEAFg8EOkEFg/SU6lUmD17NhYtWoT8/HwAz5c6HDt2LCZPnqy1yy69PkePHkWrVq00d1ULCgq0euVMTU0FJ5QvXgvd4OnpiZCQELRo0UJ0FCIAHLZERDI1efJkhISEYP78+WjVqhXUajViYmIwffp0FBUVYc6cOaIjykKnTp1gaGiIZs2awc/PD+3atYOvry8MDQ1FR5M9ExMTVK9eHQqFgoWDQAsWLMD48eOxevVq1K9fX3QcIvY8EOkC9jxIr2bNmlizZg26d++u1b53714MHz4cGRkZgpLJS0ZGBiIiIhAVFYXIyEhcv34dxsbG8PX1hZ+fH/z8/NC8eXNUqsR7XVIpKSnBjBkzsHz5ck2vnKmpKUaOHIlp06aVWpmMXi9LS0sUFBSgpKQEhoaGpeY+PHjwQFAykisWD0QSSExMfOXx5ORkfPjhhyweJGRsbIzExES4ublptV+5cgWNGjVCYWGhoGTyduvWLURGRuLYsWM4duwYbt68CRMTEzx+/Fh0NNkYNmwYdu/ejZkzZ8LX1xcAcOrUKUyfPh09evTAmjVrBCeUl40bN77y+MCBAyVKQvQciwciCejp6UGhUJS5GsaLdoVCweJBQs2bN0fz5s2xfPlyrfaRI0fi7NmziI2NFZSM0tLSEBERgWPHjmH//v1QKpWaO+D0+llYWGDbtm3o0qWLVvvBgwfRt29f5ObmCkpGRLqA/cBEErh+/broCPQHCxYsQNeuXXH06FH4+vpCoVDg5MmTuHXrFg4cOCA6nqxcu3YNx44dQ2RkJCIjI/H48WO0bNkSbdq0wYgRI9C0aVPREWXF2Ni41B4PAODk5MS5KIKkpaVhw4YNSEtLw7Jly2Bra4tDhw7BwcEBnp6eouORzLDngYhkKzMzEytXrkRycjLUajU8PDwwfPhw1KxZU3Q02XB0dEReXh5at26NNm3aoG3btmjSpAn09fVFR5OtmTNnIjk5GRs2bICRkREAoLi4GIMHD4arqyumTZsmOKG8REVFoUuXLmjVqhWOHz+OpKQkODs7Y8GCBThz5gx+/PFH0RFJZtjzQESyVbNmTa6qJFhxcTGA58P39PX1oa+vz2VyBejVq5fW46NHj6JWrVpo2LAhgOeLOjx9+hTt27cXEU/WJk6ciNmzZyM4OBhmZmaadj8/PyxbtkxgMpIrFg9ERCRMVlYWkpOTNcOWFixYgKKiIrRu3RrvvPOOpieCBcXrZWFhofW4d+/eWo8dHBykjEMvuXDhAr7//vtS7dWqVUNOTo6ARCR3LB6IiEiounXrom7duhg2bBgAICkpSbPi0qxZs6BQKPDo0SOxId9wGzZsEB2BylG1alXcuXMHtWvX1mqPj4+Hvb29oFQkZ7yVQ0REOuPu3btITExEYmIiEhIS8PjxY83QJiI5CggIwBdffIGsrCwoFAqoVCrExMRg3LhxGDBggOh4JEOcME1ERMJkZ2dr9nSIjIxESkoKDAwMNDtO+/n5wdfXVzNxl16/nJwcTJ06FZGRkcjOzoZKpdI6zk3JpPXs2TMMGjQI27Ztg1qtRqVKlaBUKhEQEICwsDAuLkCSY/FAJKG7d+9i3LhxCA8PR3Z2dql9H7jPg7RKSkpw7NgxpKWlISAgAGZmZsjMzIS5uTlMTU1Fx5MFPT09GBgYwMfHB35+fnjnnXfQqlWrUrvoknS6dOmCtLQ0DB48GNWrV4dCodA6zk3JxEhLS0N8fDxUKhUaN24MV1dX0ZFIplg8EEmoS5cuSE9Px2effQY7O7tSv5R79OghKJn83Lx5E507d0Z6ejqKi4uRkpICZ2dnfP755ygqKuIuuhI5fPgwWrdujSpVqoiOQr8xMzNDdHS0ZqUlIqKXccI0kYSio6Nx4sQJNGrUSHQU2Rs9ejR8fHyQkJAAa2trTft7772HIUOGCEwmL++++67oCPQHdevWRWFhoegYshYcHFzhcxcvXvwakxCVxuKBSEIODg6lhiqRGNHR0YiJiSm1Y66joyMyMjIEpSISb9WqVZg4cSKmTp2K+vXrw8DAQOu4ubm5oGTyER8fr/X43LlzUCqVcHd3BwCkpKRAX18fTZo0ERGPZI7FA5GEli5diokTJ2Lt2rVwcnISHUfWVCpVmXNMbt++rbURE5HcVK1aFbm5uWjXrp1Wu1qthkKh4NwsCURGRmo+Xrx4MczMzLBx40ZYWloCAB4+fIiPPvoIb7/9tqiIJGOc80AkIUtLSxQUFKCkpAQmJial7uhxFRPp9OnTBxYWFli3bh3MzMyQmJiIatWqoUePHnjrrbe47j3JVrNmzVCpUiWMHj26zAnTbdu2FZRMnuzt7XHkyBF4enpqtV+8eBGdOnVCZmamoGQkV+x5IJLQ0qVLRUeg3yxZsgR+fn7w8PBAUVERAgICkJqaChsbG2zdulV0PCJhLl68iPj4eM0QGRIrLy8Pd+/eLVU8ZGdn4/Hjx4JSkZyx54GIZKuwsBBbt25FXFwcVCoVvL29ERgYyGVCBQkPD9csY/zHvQVCQ0MFpZKfNm3aYOrUqejQoYPoKARgwIABiIqKwqJFi9CiRQsAQGxsLMaPH482bdpg48aNghOS3LB4IJKYUqnEnj17kJSUBIVCAQ8PD3Tv3p0b/ZCszZgxAzNnzoSPj0+Zyxjv3r1bUDL52bFjB6ZPn47x48fDy8ur1PDKBg0aCEomTwUFBRg3bhxCQ0Px7NkzAEClSpUwePBgLFy4kMsck+RYPBBJ6OrVq/D390dGRgbc3d2hVquRkpICBwcH/Pzzz6hTp47oiLKSkZGBmJiYMu90jxo1SlAqebKzs8OCBQvQv39/0VFkT09Pr1SbQqHghGnBnjx5grS0NKjVari4uLBoIGFYPBBJyN/fH2q1Glu2bIGVlRUAICcnB/369YOenh5+/vlnwQnlY8OGDRg2bBgMDQ1hbW2tdadboVDg2rVrAtPJj7W1Nc6cOcMCWgfcvHnzlccdHR0lSkJEuojFA5GEqlSpgtjYWHh5eWm1JyQkoFWrVsjPzxeUTH4cHBwwbNgwTJo0qcw7rSStL774AqamppgyZYroKEQ65cmTJ5g/f36584F4o4OkxtWWiCRkZGRU5uoY+fn5pTYro9eroKAAffv2ZeGgI4qKirBu3TocPXoUDRo0KDXOnrvoSmvz5s1Ys2YNrl+/jlOnTsHR0RFLly5F7dq10aNHD9HxZGXIkCGIiopC//79y5wPRCQ1Fg9EEurWrRuGDh2KkJAQNGvWDABw+vRpDBs2DN27dxecTl4GDx6MHTt2YOLEiaKjEIDExEQ0atQIwPOlQl/GP5aktXr1akydOhWff/455syZo5njULVqVSxdupTFg8QOHjyIn3/+Ga1atRIdhQgAhy0RSerRo0cYOHAg9u3bp7mzWlJSgu7duyMsLAwWFhaCE8qHUqlEt27dUFhYWOaKMrzTTXLl4eGBuXPnomfPnjAzM0NCQgKcnZ1x8eJFvPPOO7h//77oiLJSu3ZtHDhwAPXq1RMdhQgAex6IJFW1alXs3bsXqampSE5OhlqthoeHB1xcXERHk525c+fi8OHDmo2w/jhhmsS5ffs2FAoF7O3tRUeRpevXr6Nx48al2o2MjPDkyRMBieRt1qxZmDp1KjZu3AgTExPRcYhYPBCJ4OrqCldXV9ExZG3x4sUIDQ3FoEGDREchACqVCrNnz8aiRYs0CweYmZlh7NixmDx5MuemSKh27do4f/58qVWVDh48CA8PD0Gp5GvRokVIS0tD9erV4eTkVKqXNC4uTlAykisWD0SvWXBwMGbNmoUqVaogODj4ledyqIx0jIyMOIZYh0yePBkhISGYP38+WrVqBbVajZiYGEyfPh1FRUWYM2eO6IiyMX78eIwYMQJFRUVQq9U4c+YMtm7dinnz5mH9+vWi48lOz549RUcg0sI5D0SvmZ+fH3bv3o2qVavCz8+v3PMUCgUiIiIkTCZv8+bNw507d7B8+XLRUQhAzZo1sWbNmlILB+zduxfDhw9HRkaGoGTy9O2332L27Nm4desWAMDe3h7Tp0/H4MGDBScjItFYPBCRLL333nuIiIiAtbU1PD09Sw0F2LVrl6Bk8mRsbIzExES4ublptV+5cgWNGjVCYWGhoGTydv/+fahUKtja2oqOImuPHj3Cjz/+iLS0NIwfPx5WVlaIi4tD9erVOTeIJMdhS0QC5eXlISIiAnXr1kXdunVFx5GVqlWrolevXqJj0G8aNmyIFStWlOoJWrFiBRo2bCgoFdnY2IiOIHuJiYno0KEDLCwscOPGDXz88cewsrLC7t27cfPmTWzatEl0RJIZ9jwQSeiDDz5AmzZt8Nlnn6GwsBANGzbEjRs3oFarsW3bNvTu3Vt0RCIhoqKi0LVrV7z11lvw9fWFQqHAyZMncevWLRw4cABvv/226IhvvHbt2lXoPA6vlFaHDh3g7e2NBQsWaC2de/LkSQQEBODGjRuiI5LMsOeBSELHjx/H5MmTAQC7d++GWq3Go0ePsHHjRsyePZvFA8lW27ZtkZKSgpUrV2qWMe7VqxeGDx+OmjVrio4nC8eOHYOjoyO6du1aahgfiXP27FmsXbu2VLu9vT2ysrIEJCK5Y/FAJKHc3FxYWVkBAA4dOoTevXvDxMQEXbt2xfjx4wWne/N5e3sjPDwclpaWaNy48Sv3c+Dyh9KrWbMmV1USaP78+QgLC8OOHTsQGBiIoKAg1K9fX3Qs2TM2NkZeXl6p9itXrqBatWoCEpHcsXggkpCDgwNOnToFKysrHDp0CNu2bQMAPHz4EMbGxoLTvfl69OgBIyMjAFz+kOiPJkyYgAkTJuDUqVMIDQ1Fq1at4O7ujqCgIAQEBMDc3Fx0RFnq0aMHZs6ciR9++AHA85X50tPTMXHiRPZWkxCc80AkoVWrVmH06NEwNTWFo6Mj4uLioKenh2+++Qa7du1CZGSk6IhvvKCgICxbtgxmZmaioxDptIKCAuzYsQMrV67E5cuXkZmZyQJCgLy8PPj7++PSpUt4/PgxatasiaysLLRo0QIHDx5ElSpVREckmWHxQCSxX3/9Fbdu3ULHjh1hamoKAPj5559RtWpVblomAX19fdy5c4dLTxL9iejoaISGhmLHjh3w9PREZGQkKleuLDqWbEVGRuLcuXNQqVTw9vZGhw4dREcimWLxQCSQUqnEhQsX4OjoCEtLS9FxZEFPTw9ZWVksHojKkJmZibCwMISFhSEvLw/9+vVDUFAQPDw8REeTncLCQoSHh6Nbt24AgEmTJqG4uFhzvFKlSpg5cyaHvJLk9EQHIJKTzz//HCEhIQCeFw5t27aFt7c3HBwccOzYMbHhZORVE6VJnJKSEhw9ehRr167F48ePATz/YzY/P19wMnnw9/dHnTp1cPr0aSxcuBC3b9/G119/zcJBkE2bNmmtsrRixQqcPHkS8fHxiI+Px+bNm7F69WqBCUmu2PNAJKFatWphz5498PHxwZ49ezBixAhERkZi06ZNiIyMRExMjOiIbzw9PT1YWFj8aQHx4MEDiRIRANy8eROdO3dGeno6iouLkZKSAmdnZ3z++ecoKirCmjVrREd84+np6cHOzg62trZciUwHtGnTBmPGjMF7770HAFp7PADAd999h5UrV+LUqVMiY5IMcbUlIgndv38fNWrUAAAcOHAA77//Ptzc3DB48OBSO+vS6zNjxgxYWFiIjkEvGT16NHx8fJCQkABra2tN+3vvvYchQ4YITCYf06ZNEx2BXpKSkgI3NzfNY2NjY+jp/T5gpFmzZhgxYoSIaCRzLB6IJFS9enVcvnwZdnZ2OHToEFatWgXg+aom+vr6gtPJR9++fTnnQcdER0cjJiYGhoaGWu2Ojo7IyMgQlEpeWDzoltzcXFSq9Pufaffu3dM6rlKptOZAEEmFcx6IJPTRRx/hgw8+QP369aFQKNCxY0cAwOnTp1G3bl3B6eSB8x10k0qlglKpLNV++/ZtLqtLslSrVi1cvHix3OOJiYmoVauWhImInmPxQCSh6dOnY/369Rg6dChiYmI0G5bp6+tj4sSJgtPJA6d56aaOHTti6dKlmscKhQL5+fmYNm0a/P39xQUjEsTf3x9Tp05FUVFRqWOFhYWYMWMGunbtKiAZyR0nTBMJUlRUxCX2iH6TmZkJPz8/6OvrIzU1FT4+PkhNTYWNjQ2OHz/OYWYkO3fv3kWjRo1gaGiIzz77DG5ublAoFEhOTsaKFStQUlKC+Ph4VK9eXXRUkhkWD0QSUiqVmDt3LtasWYO7d+9qVpSZMmUKnJycMHjwYNERiYQpLCzE1q1bERcXp9kIKzAwkBuTkWxdv34dn376KX755RdNr+mLIa+rVq3SrLxEJCUWD0QSmjlzJjZu3IiZM2fi448/xsWLF+Hs7IwffvgBS5Ys4ZJ7RCSElZUVUlJSYGNjg6CgICxbtoxzTXTIgwcPcPXqVQCAi4sLrKysBCciOWPxQCQhFxcXrF27Fu3bt9daszs5ORm+vr54+PCh6IhEwmRkZCAmJgbZ2dlQqVRax0aNGiUolTyYmpoiMTERzs7O0NfXR1ZWFqpVqyY6FhHpIC7VSiShjIwMuLi4lGpXqVR49uyZgEREumHDhg0YNmwYDA0NYW1trbUqlkKhYPHwmvn6+qJnz55o0qQJ1Go1Ro0aVe5wsdDQUInTEZEuYfFAJCFPT0+cOHECjo6OWu07duxA48aNBaUiEm/q1KmYOnUqJk2apLURFknju+++w5IlS5CWlgaFQoHc3NwyV/khImLxQCShadOmoX///sjIyIBKpcKuXbtw5coVbNq0Cfv37xcdj0iYgoIC9O3bl4WDINWrV8f8+fMBALVr18bmzZu1dvomInqBcx6IJHb48GHMnTsX586d06woM3XqVHTq1El0NCJhJkyYACsrK+53QkSk41g8EBGRcEqlEt26dUNhYSG8vLxgYGCgdXzx4sWCkslTVFQUvv76ayQlJUGhUKBevXoYP3483n77bdHRiEgwDlsiEqSoqAjbt29HQUEBOnToAFdXV9GRiISZO3cuDh8+DHd3dwAoNWGapPPdd9/ho48+Qq9evTBq1Cio1WqcPHkS7du3R1hYGAICAkRHJCKB2PNAJIHx48fj6dOnWLZsGQDg6dOnaNasGS5fvgwTExOUlJTgl19+ga+vr+CkRGJYWlpiyZIlGDRokOgoslevXj0MHToUY8aM0WpfvHgxvv32WyQlJQlKRkS6gDPTiCRw8OBBtG/fXvN4y5YtSE9PR2pqKh4+fIj3338fs2fPFpiQSCwjIyO0atVKdAwCcO3aNfznP/8p1d69e3dcv35dQCIi0iUsHogkkJ6eDg8PD83jI0eO4L///S8cHR2hUCgwevRoxMfHC0xIJNbo0aPxzTffiI5BABwcHBAeHl6qPTw8HA4ODgISEZEu4ZwHIgno6enh5RGCsbGxmDJliuZx1apVubs0ydqZM2cQERGB/fv3w9PTs9SE6V27dglKJj9jx47FqFGjcP78ebRs2RIKhQLR0dEICwvTDL0kIvli8UAkgbp162Lfvn0IDg7GpUuXkJ6eDj8/P83xmzdvonr16gITEolVtWpV9OrVS3QMAvDpp5+iRo0aWLRoEX744QcAz+dBbN++HT169BCcjohE44RpIgns3LkTH374Id5++21cunQJTZs2xb59+zTHv/jiC1y/fl3zi5qIiIhIF3HOA5EEevfujQMHDqBBgwYYM2YMtm/frnXcxMQEw4cPF5SOiIiIqGLY80BEREJ4e3sjPDwclpaWaNy48Sv3c4iLi5MwGRERlYdzHoiISIgePXrAyMgIANCzZ0+xYYiIqELY80BERMIEBQVh2bJlMDMzEx2FiIgqgMUDEREJo6+vjzt37sDW1lZ0FCIiqgAOWyIiImF4/0r3KJVKhIWFITw8HNnZ2VCpVFrHIyIiBCUjIl3A4oGIiIR61URpkt7o0aMRFhaGrl27on79+rw+RKSFw5aIdMCXX36JrKwshIaGio5CJCk9PT1YWFj86R+oDx48kCgR2djYYNOmTfD39xcdhYh0EHseiHRARkYGbt26JToGkRAzZsyAhYWF6Bj0G0NDQ7i4uIiOQUQ6ij0PREQkjJ6eHrKysjhhWocsWrQI165dw4oVKzhkiYhKYfFARETCcLUl3dCrVy+txxEREbCysoKnpycMDAy0ju3atUvKaESkYzhsiUhCy5cvL7NdoVDA2NgYLi4uaNOmDfT19SVORiQG71/phj8OG3vvvfcEJSEiXceeByIJ1a5dG/fu3UNBQQEsLS2hVqvx6NEjmJiYwNTUFNnZ2XB2dkZkZCQcHBxExyUiIiLSoic6AJGczJ07F02bNkVqaipycnLw4MEDpKSkoHnz5li2bBnS09NRo0YNjBkzRnRUIpKpdu3a4dGjR6Xa8/Ly0K5dO+kDEZFOYc8DkYTq1KmDnTt3olGjRlrt8fHx6N27N65du4aTJ0+id+/euHPnjpiQRCRr5U1iz87Ohr29PZ49eyYoGRHpAs55IJLQnTt3UFJSUqq9pKQEWVlZAICaNWvi8ePHUkcjIplLTEzUfHz58mXNzyTg+a7Thw4dgr29vYhoRKRDWDwQScjPzw+ffPIJ1q9fj8aNGwN43uvw6aefaoYDXLhwAbVr1xYZk4hkqFGjRlAoFFAoFGUOT6pcuTK++eYbAcmISJdw2BKRhLKystC/f3+Eh4drlj8sKSlB+/btsXnzZlSvXh2RkZF49uwZOnXqJDgtEcnJzZs3oVar4ezsjDNnzqBatWqaY4aGhrC1teVKcETE4oFIhOTkZKSkpECtVqNu3bpwd3cXHYmIiIjoT7F4IJJQVFQU2rZtKzoGEVG5fvrppzLbX96PhkMrieSLxQORhAwNDVGjRg0EBASgX79+qF+/vuhIRERa9PT0oFAoSm3g96JNoVCgdevW2LNnDywtLQWlJCJRuM8DkYQyMzMxYcIEnDhxAg0aNECDBg2wYMEC3L59W3Q0IiIAwC+//IKmTZvil19+QW5uLnJzc/HLL7+gWbNm2L9/P44fP46cnByMGzdOdFQiEoA9D0SCXL9+Hd9//z22bt2K5ORktGnTBhEREaJjEZHM1a9fH+vWrUPLli212mNiYjB06FBcunQJR48eRVBQENLT0wWlJCJR2PNAJEjt2rUxceJEzJ8/H15eXoiKihIdiYgIaWlpMDc3L9Vubm6Oa9euAQBcXV1x//59qaMRkQ5g8UAkQExMDIYPHw47OzsEBATA09MT+/fvFx2LiAhNmjTB+PHjce/ePU3bvXv3MGHCBDRt2hQAkJqailq1aomKSEQCcZM4Igl9+eWX2Lp1KzIzM9GhQwcsXboUPXv2hImJiehoREQAgJCQEPTo0QO1atWCg4MDFAoF0tPT4ezsjL179wIA8vPzMWXKFMFJiUgEznkgklDLli0RGBiIPn36wMbGRuvY+fPn0ahRIzHBiIheolarcfjwYa39aDp27Ag9PQ5YIJI7Fg9EAuXm5mLLli1Yv349EhISoFQqRUciIiIiKheHLREJEBERgdDQUOzatQuOjo7o3bs3QkJCRMciIgIAhIeHIzw8HNnZ2VCpVFrHQkNDBaUiIl3A4oFIIrdv30ZYWBhCQ0Px5MkTfPDBB3j27Bl27twJDw8P0fGIiAAAM2bMwMyZM+Hj4wM7OzsoFArRkYhIh3DYEpEE/P39ER0djW7duiEwMBCdO3eGvr4+DAwMkJCQwOKBiHSGnZ0dFixYgP79+4uOQkQ6iD0PRBI4cuQIRo0ahU8//RSurq6i4xARlevp06elNogjInqByyYQSeDEiRN4/PgxfHx80Lx5c6xYsUJrDXUiIl0xZMgQfP/996JjEJGO4rAlIgkVFBRg27ZtCA0NxZkzZ6BUKrF48WIEBQXBzMxMdDwiIowePRqbNm1CgwYN0KBBAxgYGGgdX7x4saBkRKQLWDwQCXLlyhWEhIRg8+bNePToETp27IiffvpJdCwikjk/P79yjykUCkREREiYhoh0DYsHIsGUSiX27duH0NBQFg9ERESk01g8EBERUSlXr15FWloa2rRpg8qVK0OtVnPZViLihGkiIiL6XU5ODtq3bw83Nzf4+/vjzp07AJ5PpB47dqzgdEQkGosHIiIi0hgzZgwMDAyQnp4OExMTTXufPn1w6NAhgcmISBdwnwciIiLSOHLkCA4fPoxatWpptbu6uuLmzZuCUhGRrmDPAxEREWk8efJEq8fhhfv378PIyEhAIiLSJSweiIiISKNNmzbYtGmT5rFCoYBKpcLChQtfuYwrEckDV1siIiIijcuXL+Odd95BkyZNEBERge7du+PSpUt48OABYmJiUKdOHdERiUggFg9ERESkJSsrC6tXr8a5c+egUqng7e2NESNGwM7OTnQ0IhKMxQMRERH9qVu3bmHatGkIDQ0VHYWIBGLxQERERH8qISEB3t7eUCqVoqMQkUCcME1ERERERBXC4oGIiIiIiCqExQMREREREVUId5gmIiIi9OrV65XHHz16JE0QItJpLB6IiIgIFhYWf3p8wIABEqUhIl3F1ZaIiIiIiKhCOOeBiIiIiIgqhMUDERERERFVCIsHIiIiIiKqEBYPRERERERUISweiIiIiIioQlg8EBERERFRhbB4ICIiIiKiCmHxQEREREREFcLigYiIiIiIKuT/AKwBFDrMCJhhAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "residual_plots(multiple_reg_VIF)#get residual plot" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MLR_All_incl_Categorical_featuresMLR_All_features_Box_Cox_On-XMLR_All_features_Box_Cox_On-yMLR_All_Removing_Influential_pointsMLR_All_Removing_Influential_pointsMLR_using_VIF
const6567.4211656567.4211651.135659-1018.589686-1018.589686502.372211
Avg. Session Length-33.034000-33.0340000.00024725.28064425.280644NaN
Time on App-112.991482-112.9914820.00034137.80595837.80595829.453192
Time on Website-71.970542-71.9705420.0000030.4854920.485492NaN
Length of Membership-204.159096-204.1590960.00055659.70954259.70954245.090789
Gender_Male-332.491951-332.491951-0.000082-5.199532-5.199532-35.499712
\n", "
" ], "text/plain": [ " MLR_All_incl_Categorical_features \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-X \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-y \\\n", "const 1.135659 \n", "Avg. Session Length 0.000247 \n", "Time on App 0.000341 \n", "Time on Website 0.000003 \n", "Length of Membership 0.000556 \n", "Gender_Male -0.000082 \n", "\n", " MLR_All_Removing_Influential_points \\\n", "const -1018.589686 \n", "Avg. Session Length 25.280644 \n", "Time on App 37.805958 \n", "Time on Website 0.485492 \n", "Length of Membership 59.709542 \n", "Gender_Male -5.199532 \n", "\n", " MLR_All_Removing_Influential_points MLR_using_VIF \n", "const -1018.589686 502.372211 \n", "Avg. Session Length 25.280644 NaN \n", "Time on App 37.805958 29.453192 \n", "Time on Website 0.485492 NaN \n", "Length of Membership 59.709542 45.090789 \n", "Gender_Male -5.199532 -35.499712 " ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#get coefficients\n", "coefficients=coeff(\"MLR_using_VIF\",multiple_reg_VIF.params)\n", "coefficients" ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "id": "LG2P4KcfAaKO", "outputId": "d16d086f-da51-4592-e169-59fa6fc88991" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ModelMAE_TrainMSE_TrainRMSE_TrainMAPE_TrainMAE_TestMSE_TestRMSE_TestMAPE_TestR2RAE_TrainRSE_TrainRAE_TestRSE_Test
0MLR_with_Categ_attributes236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
1MLR_Box_Cox_Transform-On-X236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
2MLR_Box_Cox_Transform-On-y0.0001642.067951e-070.0004550.01428554.5199272991.25040154.69232597.9214570.7247610.2598430.27523916.181541158.827271
3MLR_All_attrib_Influential_removed7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
4MLR_All_attrib_Influential_removed7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
5MLR_after_VIF20.8559876.853507e+0226.1792044.49056219.279893521.99960422.8473114.0862780.8612550.3725560.1387450.3368500.116652
\n", "
" ], "text/plain": [ " Model MAE_Train MSE_Train RMSE_Train \\\n", "0 MLR_with_Categ_attributes 236.143762 1.486420e+06 1219.188174 \n", "1 MLR_Box_Cox_Transform-On-X 236.143762 1.486420e+06 1219.188174 \n", "2 MLR_Box_Cox_Transform-On-y 0.000164 2.067951e-07 0.000455 \n", "3 MLR_All_attrib_Influential_removed 7.843717 1.372752e+02 11.716449 \n", "4 MLR_All_attrib_Influential_removed 7.843717 1.372752e+02 11.716449 \n", "5 MLR_after_VIF 20.855987 6.853507e+02 26.179204 \n", "\n", " MAPE_Train MAE_Test MSE_Test RMSE_Test MAPE_Test R2 \\\n", "0 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "1 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "2 0.014285 54.519927 2991.250401 54.692325 97.921457 0.724761 \n", "3 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "4 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "5 4.490562 19.279893 521.999604 22.847311 4.086278 0.861255 \n", "\n", " RAE_Train RSE_Train RAE_Test RSE_Test \n", "0 1.659035 0.978213 2.935542 8.755543 \n", "1 1.659035 0.978213 2.935542 8.755543 \n", "2 0.259843 0.275239 16.181541 158.827271 \n", "3 0.140114 0.027790 0.153342 0.036250 \n", "4 0.140114 0.027790 0.153342 0.036250 \n", "5 0.372556 0.138745 0.336850 0.116652 " ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#get error metrics\n", "scores = get_metrics(y_train_VIF,multiple_reg_VIF.predict(X_train_VIF),y_test_VIF,multiple_reg_VIF.predict(X_test_VIF),\"MLR_after_VIF\",scores)\n", "scores" ] }, { "cell_type": "markdown", "metadata": { "id": "PA3WM_dB7YTP" }, "source": [ "## Recursive Feature Elimination" ] }, { "cell_type": "code", "execution_count": 73, "metadata": { "id": "uAp6Ys-I7aKF" }, "outputs": [], "source": [ "from sklearn.feature_selection import RFE #import RFE" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
constAvg. Session LengthTime on AppTime on WebsiteLength of MembershipGender_Male
3521.031.85307512.14937537.3253343.3618151
1621.032.91278511.36549237.6077934.5999370
\n", "
" ], "text/plain": [ " const Avg. Session Length Time on App Time on Website \\\n", "352 1.0 31.853075 12.149375 37.325334 \n", "162 1.0 32.912785 11.365492 37.607793 \n", "\n", " Length of Membership Gender_Male \n", "352 3.361815 1 \n", "162 4.599937 0 " ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train.head(2)" ] }, { "cell_type": "code", "execution_count": 74, "metadata": { "id": "nz8LKJr17cRs", "outputId": "19a5d6a9-68e7-40e2-ddc0-72ffe5994322" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['Avg. Session Length', 'Time on App', 'Time on Website',\n", " 'Length of Membership', 'Gender_Male'],\n", " dtype='object')\n", "2884.05952656922\n", "Index(['Avg. Session Length', 'Time on App', 'Length of Membership',\n", " 'Gender_Male'],\n", " dtype='object')\n", "3019.3121068726477\n", "Break !\n" ] } ], "source": [ "import pandas as pd\n", "import statsmodels.api as sm\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.feature_selection import RFE\n", "\n", "indp_vars = X\n", "min_aic = 10**100 # initiailizing AIC to a very large value\n", "for i in range(indp_vars.shape[1],0,-1):\n", " regression_model = LinearRegression()\n", " rfe = RFE(regression_model, n_features_to_select=i)\n", " rfe = rfe.fit(X_train, y_train)\n", " chk = X_train.loc[:,list(rfe.support_)]\n", " print(chk.columns)\n", " regression_model=sm.OLS(y_train,chk)\n", " result=regression_model.fit()\n", " current_aic = result.aic\n", " print(current_aic)\n", " if(current_aic <= min_aic):\n", " min_aic = current_aic\n", " bestmodel = chk.columns\n", " else:\n", " print(\"Break !\")\n", " break" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "id": "NLBpPH8T7h2N", "outputId": "a57b0050-8acd-4796-ee7e-55902ab0f32e" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Avg. Session LengthTime on AppTime on WebsiteLength of MembershipGender_Maleconst
35231.85307512.14937537.3253343.36181511
16232.91278511.36549237.6077934.59993701
8134.08026011.59144036.4568984.65285401
5934.49726812.65565139.5776684.08262101
26031.35847712.80988336.5496683.63770111
\n", "
" ], "text/plain": [ " Avg. Session Length Time on App Time on Website Length of Membership \\\n", "352 31.853075 12.149375 37.325334 3.361815 \n", "162 32.912785 11.365492 37.607793 4.599937 \n", "81 34.080260 11.591440 36.456898 4.652854 \n", "59 34.497268 12.655651 39.577668 4.082621 \n", "260 31.358477 12.809883 36.549668 3.637701 \n", "\n", " Gender_Male const \n", "352 1 1 \n", "162 0 1 \n", "81 0 1 \n", "59 0 1 \n", "260 1 1 " ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bestmodel_data = X_train.loc[:,bestmodel]\n", "bestmodel_data_test = X_test.loc[:,bestmodel]\n", "bestmodel_data['const'] =1\n", "bestmodel_data_test['const'] =1\n", "bestmodel_data.head() #splitt data using bestmodel data" ] }, { "cell_type": "code", "execution_count": 76, "metadata": { "id": "3PBBBl55AaKP", "outputId": "8eb4adab-f20e-4cbe-cebf-1cc6292f06f1" }, "outputs": [ { "data": { "text/plain": [ "(82,)" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_test.shape #shape of Y test" ] }, { "cell_type": "code", "execution_count": 77, "metadata": { "id": "Vo6E3S_xAaKP", "outputId": "728bfd06-82be-4a9d-9e76-3b04aa4ce41c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Results: Ordinary least squares\n", "=============================================================================\n", "Model: OLS Adj. R-squared: 0.972 \n", "Dependent Variable: Yearly Amount Spent AIC: 2526.1961\n", "Date: 2024-09-19 18:40 BIC: 2548.8806\n", "No. Observations: 324 Log-Likelihood: -1257.1 \n", "Df Model: 5 F-statistic: 2225. \n", "Df Residuals: 318 Prob (F-statistic): 5.56e-245\n", "R-squared: 0.972 Scale: 139.87 \n", "-----------------------------------------------------------------------------\n", " Coef. Std.Err. t P>|t| [0.025 0.975] \n", "-----------------------------------------------------------------------------\n", "Avg. Session Length 25.2806 0.7106 35.5777 0.0000 23.8826 26.6787\n", "Time on App 37.8060 0.8040 47.0226 0.0000 36.2241 39.3878\n", "Time on Website 0.4855 0.6663 0.7287 0.4667 -0.8254 1.7964\n", "Length of Membership 59.7095 1.0528 56.7127 0.0000 57.6381 61.7810\n", "Gender_Male -5.1995 2.0809 -2.4987 0.0130 -9.2935 -1.1055\n", "const -1018.5897 40.0266 -25.4478 0.0000 -1097.3401 -939.8393\n", "-----------------------------------------------------------------------------\n", "Omnibus: 337.893 Durbin-Watson: 2.049 \n", "Prob(Omnibus): 0.000 Jarque-Bera (JB): 26522.828\n", "Skew: -4.119 Prob(JB): 0.000 \n", "Kurtosis: 46.552 Condition No.: 3116 \n", "=============================================================================\n", "Notes:\n", "[1] Standard Errors assume that the covariance matrix of the errors is\n", "correctly specified.\n", "[2] The condition number is large, 3.12e+03. This might indicate\n", "that there are strong multicollinearity or other numerical\n", "problems.\n" ] } ], "source": [ "rfe_model=sm.OLS(y_train,bestmodel_data).fit()\n", "print(rfe_model.summary2()) #build a regression model" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
MLR_All_incl_Categorical_featuresMLR_All_features_Box_Cox_On-XMLR_All_features_Box_Cox_On-yMLR_All_Removing_Influential_pointsMLR_All_Removing_Influential_pointsMLR_using_VIFMLR_after_RFE
const6567.4211656567.4211651.135659-1018.589686-1018.589686502.372211-1018.589686
Avg. Session Length-33.034000-33.0340000.00024725.28064425.280644NaN25.280644
Time on App-112.991482-112.9914820.00034137.80595837.80595829.45319237.805958
Time on Website-71.970542-71.9705420.0000030.4854920.485492NaN0.485492
Length of Membership-204.159096-204.1590960.00055659.70954259.70954245.09078959.709542
Gender_Male-332.491951-332.491951-0.000082-5.199532-5.199532-35.499712-5.199532
\n", "
" ], "text/plain": [ " MLR_All_incl_Categorical_features \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-X \\\n", "const 6567.421165 \n", "Avg. Session Length -33.034000 \n", "Time on App -112.991482 \n", "Time on Website -71.970542 \n", "Length of Membership -204.159096 \n", "Gender_Male -332.491951 \n", "\n", " MLR_All_features_Box_Cox_On-y \\\n", "const 1.135659 \n", "Avg. Session Length 0.000247 \n", "Time on App 0.000341 \n", "Time on Website 0.000003 \n", "Length of Membership 0.000556 \n", "Gender_Male -0.000082 \n", "\n", " MLR_All_Removing_Influential_points \\\n", "const -1018.589686 \n", "Avg. Session Length 25.280644 \n", "Time on App 37.805958 \n", "Time on Website 0.485492 \n", "Length of Membership 59.709542 \n", "Gender_Male -5.199532 \n", "\n", " MLR_All_Removing_Influential_points MLR_using_VIF \\\n", "const -1018.589686 502.372211 \n", "Avg. Session Length 25.280644 NaN \n", "Time on App 37.805958 29.453192 \n", "Time on Website 0.485492 NaN \n", "Length of Membership 59.709542 45.090789 \n", "Gender_Male -5.199532 -35.499712 \n", "\n", " MLR_after_RFE \n", "const -1018.589686 \n", "Avg. Session Length 25.280644 \n", "Time on App 37.805958 \n", "Time on Website 0.485492 \n", "Length of Membership 59.709542 \n", "Gender_Male -5.199532 " ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#get coefficients\n", "coefficients=coeff(\"MLR_after_RFE\",rfe_model.params)\n", "coefficients" ] }, { "cell_type": "code", "execution_count": 79, "metadata": { "id": "yXlohy66AaKQ", "outputId": "a0d700c4-6e7f-4e7e-9fea-ee7a66b5851b" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ModelMAE_TrainMSE_TrainRMSE_TrainMAPE_TrainMAE_TestMSE_TestRMSE_TestMAPE_TestR2RAE_TrainRSE_TrainRAE_TestRSE_Test
0MLR_with_Categ_attributes236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
1MLR_Box_Cox_Transform-On-X236.1437621.486420e+061219.18817439.056428156.49854041288.559685203.19586531.7986210.0217871.6590350.9782132.9355428.755543
2MLR_Box_Cox_Transform-On-y0.0001642.067951e-070.0004550.01428554.5199272991.25040154.69232597.9214570.7247610.2598430.27523916.181541158.827271
3MLR_All_attrib_Influential_removed7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
4MLR_All_attrib_Influential_removed7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
5MLR_after_VIF20.8559876.853507e+0226.1792044.49056219.279893521.99960422.8473114.0862780.8612550.3725560.1387450.3368500.116652
6MLR_after_VIF_RFE7.8437171.372752e+0211.7164491.6894008.776639162.21211912.7362521.8256290.9722100.1401140.0277900.1533420.036250
\n", "
" ], "text/plain": [ " Model MAE_Train MSE_Train RMSE_Train \\\n", "0 MLR_with_Categ_attributes 236.143762 1.486420e+06 1219.188174 \n", "1 MLR_Box_Cox_Transform-On-X 236.143762 1.486420e+06 1219.188174 \n", "2 MLR_Box_Cox_Transform-On-y 0.000164 2.067951e-07 0.000455 \n", "3 MLR_All_attrib_Influential_removed 7.843717 1.372752e+02 11.716449 \n", "4 MLR_All_attrib_Influential_removed 7.843717 1.372752e+02 11.716449 \n", "5 MLR_after_VIF 20.855987 6.853507e+02 26.179204 \n", "6 MLR_after_VIF_RFE 7.843717 1.372752e+02 11.716449 \n", "\n", " MAPE_Train MAE_Test MSE_Test RMSE_Test MAPE_Test R2 \\\n", "0 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "1 39.056428 156.498540 41288.559685 203.195865 31.798621 0.021787 \n", "2 0.014285 54.519927 2991.250401 54.692325 97.921457 0.724761 \n", "3 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "4 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "5 4.490562 19.279893 521.999604 22.847311 4.086278 0.861255 \n", "6 1.689400 8.776639 162.212119 12.736252 1.825629 0.972210 \n", "\n", " RAE_Train RSE_Train RAE_Test RSE_Test \n", "0 1.659035 0.978213 2.935542 8.755543 \n", "1 1.659035 0.978213 2.935542 8.755543 \n", "2 0.259843 0.275239 16.181541 158.827271 \n", "3 0.140114 0.027790 0.153342 0.036250 \n", "4 0.140114 0.027790 0.153342 0.036250 \n", "5 0.372556 0.138745 0.336850 0.116652 \n", "6 0.140114 0.027790 0.153342 0.036250 " ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#get error metrics\n", "scores = get_metrics(y_train,rfe_model.predict(bestmodel_data),y_test,rfe_model.predict(bestmodel_data_test),\"MLR_after_VIF_RFE\",scores)\n", "scores" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "colab": { "collapsed_sections": [ "rQ9S-bCHu5IY", "AgQtXOoPu5Ib" ], "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.5" } }, "nbformat": 4, "nbformat_minor": 4 }