data_eda.csv

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8ad49c2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib.ticker as mtick"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3c6fd5f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "telecom_cust = pd.read_csv('WA_Fn-UseC_-Telco-Customer-Churn.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "68bd7e3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>...</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
       "\n",
       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
       "0  No phone service             DSL             No  ...               No   \n",
       "1                No             DSL            Yes  ...              Yes   \n",
       "2                No             DSL            Yes  ...               No   \n",
       "3  No phone service             DSL            Yes  ...              Yes   \n",
       "4                No     Fiber optic             No  ...               No   \n",
       "\n",
       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
       "0          No          No              No  Month-to-month              Yes   \n",
       "1          No          No              No        One year               No   \n",
       "2          No          No              No  Month-to-month              Yes   \n",
       "3         Yes          No              No        One year               No   \n",
       "4          No          No              No  Month-to-month              Yes   \n",
       "\n",
       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
       "0           Electronic check          29.85         29.85    No  \n",
       "1               Mailed check          56.95        1889.5    No  \n",
       "2               Mailed check          53.85        108.15   Yes  \n",
       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
       "4           Electronic check          70.70        151.65   Yes  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "telecom_cust.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "318e222d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['customerID', 'gender', 'SeniorCitizen', 'Partner', 'Dependents',\n",
       "       'tenure', 'PhoneService', 'MultipleLines', 'InternetService',\n",
       "       'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',\n",
       "       'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract',\n",
       "       'PaperlessBilling', 'PaymentMethod', 'MonthlyCharges',\n",
       "       'TotalCharges', 'Churn'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "telecom_cust.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e516bfbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID           object\n",
       "gender               object\n",
       "SeniorCitizen         int64\n",
       "Partner              object\n",
       "Dependents           object\n",
       "tenure                int64\n",
       "PhoneService         object\n",
       "MultipleLines        object\n",
       "InternetService      object\n",
       "OnlineSecurity       object\n",
       "OnlineBackup         object\n",
       "DeviceProtection     object\n",
       "TechSupport          object\n",
       "StreamingTV          object\n",
       "StreamingMovies      object\n",
       "Contract             object\n",
       "PaperlessBilling     object\n",
       "PaymentMethod        object\n",
       "MonthlyCharges      float64\n",
       "TotalCharges         object\n",
       "Churn                object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking the data types of all the columns\n",
    "telecom_cust.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "83a610dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID           0\n",
       "gender               0\n",
       "SeniorCitizen        0\n",
       "Partner              0\n",
       "Dependents           0\n",
       "tenure               0\n",
       "PhoneService         0\n",
       "MultipleLines        0\n",
       "InternetService      0\n",
       "OnlineSecurity       0\n",
       "OnlineBackup         0\n",
       "DeviceProtection     0\n",
       "TechSupport          0\n",
       "StreamingTV          0\n",
       "StreamingMovies      0\n",
       "Contract             0\n",
       "PaperlessBilling     0\n",
       "PaymentMethod        0\n",
       "MonthlyCharges       0\n",
       "TotalCharges        11\n",
       "Churn                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "telecom_cust.TotalCharges = pd.to_numeric(telecom_cust.TotalCharges, errors='coerce')\n",
    "telecom_cust.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0cde4e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
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       "      <th>Churn</th>\n",
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       "      <th>PaymentMethod_Credit card (automatic)</th>\n",
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       "  </tbody>\n",
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       "<p>5 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   SeniorCitizen  tenure  MonthlyCharges  TotalCharges  Churn  gender_Female  \\\n",
       "0              0       1           29.85         29.85      0           True   \n",
       "1              0      34           56.95       1889.50      0          False   \n",
       "2              0       2           53.85        108.15      1          False   \n",
       "3              0      45           42.30       1840.75      0          False   \n",
       "4              0       2           70.70        151.65      1           True   \n",
       "\n",
       "   gender_Male  Partner_No  Partner_Yes  Dependents_No  ...  \\\n",
       "0        False       False         True           True  ...   \n",
       "1         True        True        False           True  ...   \n",
       "2         True        True        False           True  ...   \n",
       "3         True        True        False           True  ...   \n",
       "4        False        True        False           True  ...   \n",
       "\n",
       "   StreamingMovies_Yes  Contract_Month-to-month  Contract_One year  \\\n",
       "0                False                     True              False   \n",
       "1                False                    False               True   \n",
       "2                False                     True              False   \n",
       "3                False                    False               True   \n",
       "4                False                     True              False   \n",
       "\n",
       "   Contract_Two year  PaperlessBilling_No  PaperlessBilling_Yes  \\\n",
       "0              False                False                  True   \n",
       "1              False                 True                 False   \n",
       "2              False                False                  True   \n",
       "3              False                 True                 False   \n",
       "4              False                False                  True   \n",
       "\n",
       "   PaymentMethod_Bank transfer (automatic)  \\\n",
       "0                                    False   \n",
       "1                                    False   \n",
       "2                                    False   \n",
       "3                                     True   \n",
       "4                                    False   \n",
       "\n",
       "   PaymentMethod_Credit card (automatic)  PaymentMethod_Electronic check  \\\n",
       "0                                  False                            True   \n",
       "1                                  False                           False   \n",
       "2                                  False                           False   \n",
       "3                                  False                           False   \n",
       "4                                  False                            True   \n",
       "\n",
       "   PaymentMethod_Mailed check  \n",
       "0                       False  \n",
       "1                        True  \n",
       "2                        True  \n",
       "3                       False  \n",
       "4                       False  \n",
       "\n",
       "[5 rows x 46 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Removing missing values \n",
    "telecom_cust.dropna(inplace = True)\n",
    "#Remove customer IDs from the data set\n",
    "df2 = telecom_cust.iloc[:,1:]\n",
    "#Convertin the predictor variable in a binary numeric variable\n",
    "df2['Churn'].replace(to_replace='Yes', value=1, inplace=True)\n",
    "df2['Churn'].replace(to_replace='No',  value=0, inplace=True)\n",
    "\n",
    "#Let's convert all the categorical variables into dummy variables\n",
    "df_dummies = pd.get_dummies(df2)\n",
    "df_dummies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cc1831c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "df_dummies.corr()['Churn'].sort_values(ascending = False).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7bd25acf",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'mtick' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[9], line 6\u001b[0m\n\u001b[0;32m      1\u001b[0m colors \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#4D3425\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#E4512B\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m      2\u001b[0m ax \u001b[38;5;241m=\u001b[39m (telecom_cust[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgender\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalue_counts()\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m100.0\u001b[39m \u001b[38;5;241m/\u001b[39m\u001b[38;5;28mlen\u001b[39m(telecom_cust))\u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m      3\u001b[0m                                                                            stacked \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[0;32m      4\u001b[0m                                                                           rot \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m,\n\u001b[0;32m      5\u001b[0m                                                                           color \u001b[38;5;241m=\u001b[39m colors)\n\u001b[1;32m----> 6\u001b[0m ax\u001b[38;5;241m.\u001b[39myaxis\u001b[38;5;241m.\u001b[39mset_major_formatter(mtick\u001b[38;5;241m.\u001b[39mPercentFormatter())\n\u001b[0;32m      7\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124m Customers\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      8\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGender\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'mtick' is not defined"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#4D3425','#E4512B']\n",
    "ax = (telecom_cust['gender'].value_counts()*100.0 /len(telecom_cust)).plot(kind='bar',\n",
    "                                                                           stacked = True,\n",
    "                                                                          rot = 0,\n",
    "                                                                          color = colors)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('% Customers')\n",
    "ax.set_xlabel('Gender')\n",
    "ax.set_ylabel('% Customers')\n",
    "ax.set_title('Gender Distribution')\n",
    "\n",
    "# create a list to collect the plt.patches data\n",
    "totals = []\n",
    "\n",
    "# find the values and append to list\n",
    "for i in ax.patches:\n",
    "    totals.append(i.get_width())\n",
    "\n",
    "# set individual bar lables using above list\n",
    "total = sum(totals)\n",
    "\n",
    "for i in ax.patches:\n",
    "    # get_width pulls left or right; get_y pushes up or down\n",
    "    ax.text(i.get_x()+.15, i.get_height()-3.5, \\\n",
    "            str(round((i.get_height()/total), 1))+'%',\n",
    "            fontsize=12,\n",
    "            color='white',\n",
    "           weight = 'bold')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "09174075",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'mtick' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[10], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m colors \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#4D3425\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#E4512B\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m      2\u001b[0m ax \u001b[38;5;241m=\u001b[39m (telecom_cust[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgender\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalue_counts()\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m100.0\u001b[39m \u001b[38;5;241m/\u001b[39m\u001b[38;5;28mlen\u001b[39m(telecom_cust))\u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m'\u001b[39m, stacked \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m, rot \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m, color \u001b[38;5;241m=\u001b[39m colors)\n\u001b[1;32m----> 3\u001b[0m ax\u001b[38;5;241m.\u001b[39myaxis\u001b[38;5;241m.\u001b[39mset_major_formatter(mtick\u001b[38;5;241m.\u001b[39mPercentFormatter())\n\u001b[0;32m      4\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124m Customers\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      5\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGender\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'mtick' is not defined"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#4D3425','#E4512B']\n",
    "ax = (telecom_cust['gender'].value_counts()*100.0 /len(telecom_cust)).plot(kind='bar', stacked = True, rot = 0, color = colors)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('% Customers')\n",
    "ax.set_xlabel('Gender')\n",
    "ax.set_ylabel('% Customers')\n",
    "ax.set_title('Gender Distribution')\n",
    "\n",
    "# create a list to collect the plt.patches data\n",
    "totals = []\n",
    "\n",
    "# find the values and append to list\n",
    "for i in ax.patches:\n",
    "    totals.append(i.get_width())\n",
    "\n",
    "# set individual bar lables using above list\n",
    "total = sum(totals)\n",
    "\n",
    "for i in ax.patches:\n",
    "    # get_width pulls left or right; get_y pushes up or down\n",
    "    ax.text(i.get_x()+.15, i.get_height()-3.5, \\\n",
    "            str(round((i.get_height()/total), 1))+'%',\n",
    "            fontsize=12,\n",
    "            color='white',\n",
    "           weight = 'bold')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9a44df9e",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'mtick' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[11], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m ax \u001b[38;5;241m=\u001b[39m (telecom_cust[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSeniorCitizen\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalue_counts()\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m100.0\u001b[39m \u001b[38;5;241m/\u001b[39m\u001b[38;5;28mlen\u001b[39m(telecom_cust))\\\n\u001b[0;32m      2\u001b[0m \u001b[38;5;241m.\u001b[39mplot\u001b[38;5;241m.\u001b[39mpie(autopct\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%.1f\u001b[39;00m\u001b[38;5;132;01m%%\u001b[39;00m\u001b[38;5;124m'\u001b[39m, labels \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNo\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYes\u001b[39m\u001b[38;5;124m'\u001b[39m],figsize \u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m5\u001b[39m,\u001b[38;5;241m5\u001b[39m), fontsize \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m )                                                                           \n\u001b[1;32m----> 3\u001b[0m ax\u001b[38;5;241m.\u001b[39myaxis\u001b[38;5;241m.\u001b[39mset_major_formatter(mtick\u001b[38;5;241m.\u001b[39mPercentFormatter())\n\u001b[0;32m      4\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSenior Citizens\u001b[39m\u001b[38;5;124m'\u001b[39m,fontsize \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m)\n\u001b[0;32m      5\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m% o\u001b[39;00m\u001b[38;5;124mf Senior Citizens\u001b[39m\u001b[38;5;124m'\u001b[39m, fontsize \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'mtick' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (telecom_cust['SeniorCitizen'].value_counts()*100.0 /len(telecom_cust))\\\n",
    ".plot.pie(autopct='%.1f%%', labels = ['No', 'Yes'],figsize =(5,5), fontsize = 12 )                                                                           \n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('Senior Citizens',fontsize = 12)\n",
    "ax.set_title('% of Senior Citizens', fontsize = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a9b93d6d",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'mtick' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[12], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m ax \u001b[38;5;241m=\u001b[39m (telecom_cust[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSeniorCitizen\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvalue_counts()\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m100.0\u001b[39m \u001b[38;5;241m/\u001b[39m\u001b[38;5;28mlen\u001b[39m(telecom_cust))\\\n\u001b[0;32m      2\u001b[0m \u001b[38;5;241m.\u001b[39mplot\u001b[38;5;241m.\u001b[39mpie(autopct\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%.1f\u001b[39;00m\u001b[38;5;132;01m%%\u001b[39;00m\u001b[38;5;124m'\u001b[39m, labels \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNo\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYes\u001b[39m\u001b[38;5;124m'\u001b[39m],figsize \u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m5\u001b[39m,\u001b[38;5;241m5\u001b[39m), fontsize \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m )                                                                           \n\u001b[1;32m----> 3\u001b[0m ax\u001b[38;5;241m.\u001b[39myaxis\u001b[38;5;241m.\u001b[39mset_major_formatter(mtick\u001b[38;5;241m.\u001b[39mPercentFormatter())\n\u001b[0;32m      4\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_ylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSenior Citizens\u001b[39m\u001b[38;5;124m'\u001b[39m,fontsize \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m)\n\u001b[0;32m      5\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m% o\u001b[39;00m\u001b[38;5;124mf Senior Citizens\u001b[39m\u001b[38;5;124m'\u001b[39m, fontsize \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m12\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'mtick' is not defined"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (telecom_cust['SeniorCitizen'].value_counts()*100.0 /len(telecom_cust))\\\n",
    ".plot.pie(autopct='%.1f%%', labels = ['No', 'Yes'],figsize =(5,5), fontsize = 12 )                                                                           \n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('Senior Citizens',fontsize = 12)\n",
    "ax.set_title('% of Senior Citizens', fontsize = 12)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ef90487c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '% of Senior Citizens')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (telecom_cust['SeniorCitizen'].value_counts()*100.0 /len(telecom_cust))\\\n",
    ".plot.pie(autopct='%.1f%%', labels = ['No', 'Yes'],figsize =(5,5), fontsize = 12 )                                                                           \n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('Senior Citizens',fontsize = 12)\n",
    "ax.set_title('% of Senior Citizens', fontsize = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "af7ec6f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2 = pd.melt(telecom_cust, id_vars=['customerID'], value_vars=['Dependents','Partner'])\n",
    "df3 = df2.groupby(['variable','value']).count().unstack()\n",
    "df3 = df3*100/len(telecom_cust)\n",
    "colors = ['#4D3425','#E4512B']\n",
    "ax = df3.loc[:,'customerID'].plot.bar(stacked=True, color=colors,\n",
    "                                      figsize=(8,6),rot = 0,\n",
    "                                     width = 0.2)\n",
    "\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('% Customers',size = 14)\n",
    "ax.set_xlabel('')\n",
    "ax.set_title('% Customers with dependents and partners',size = 14)\n",
    "ax.legend(loc = 'center',prop={'size':14})\n",
    "\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    ax.annotate('{:.0f}%'.format(height), (p.get_x()+.25*width, p.get_y()+.4*height),\n",
    "                color = 'white',\n",
    "               weight = 'bold',\n",
    "               size = 14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4a11b135",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#00FFFF','#90EE90']\n",
    "partner_dependents = telecom_cust.groupby(['Partner','Dependents']).size().unstack()\n",
    "\n",
    "ax = (partner_dependents.T*100.0 / partner_dependents.T.sum()).T.plot(kind='bar',\n",
    "                                                                width = 0.2,\n",
    "                                                                stacked = True,\n",
    "                                                                rot = 0, \n",
    "                                                                figsize = (8,6),\n",
    "                                                                color = colors)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.legend(loc='center',prop={'size':14},title = 'Dependents',fontsize =14)\n",
    "ax.set_ylabel('% Customers',size = 14)\n",
    "ax.set_title('% Customers with/without dependents based on whether they have a partner',size = 14)\n",
    "ax.xaxis.label.set_size(14)\n",
    "\n",
    "# Code to add the data labels on the stacked bar chart\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    ax.annotate('{:.0f}%'.format(height), (p.get_x()+.25*width, p.get_y()+.4*height),\n",
    "                color = 'white',\n",
    "               weight = 'bold',\n",
    "               size = 14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9edbe306",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\1617657948.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  ax = sns.distplot(telecom_cust['tenure'], hist=True, kde=False,\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '# of Customers by their tenure')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(telecom_cust['tenure'], hist=True, kde=False, \n",
    "             bins=int(180/5), color = 'lightgreen', \n",
    "             hist_kws={'edgecolor':'black'},\n",
    "             kde_kws={'linewidth': 4})\n",
    "ax.set_ylabel('# of Customers')\n",
    "ax.set_xlabel('Tenure (months)')\n",
    "ax.set_title('# of Customers by their tenure')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "13c9f95a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '# of Customers by Contract Type')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = telecom_cust['Contract'].value_counts().plot(kind = 'bar',rot = 0, width = 0.3)\n",
    "ax.set_ylabel('# of Customers')\n",
    "ax.set_title('# of Customers by Contract Type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "40b5ef7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\2723039417.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  ax = sns.distplot(telecom_cust[telecom_cust['Contract']=='Month-to-month']['tenure'],\n",
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\2723039417.py:13: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  ax = sns.distplot(telecom_cust[telecom_cust['Contract']=='One year']['tenure'],\n",
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\2723039417.py:22: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  ax = sns.distplot(telecom_cust[telecom_cust['Contract']=='Two year']['tenure'],\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Two Year Contract')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EYOTIkfDx8UHHjh3x6aefKv1qyrWiW7duYf369Rg3bhw0Go1q86T7x1pEfccEa5E77D1H1iLqyZO1CGsRujvWIuo7JliL3GHvObIWUU+erEXsqxbhIosVfvvtN5SXl6Nx48Ym7Y0bN8b58+dtFNWDZ8xNbXmLCF599VX07NkTYWFhANSVq16vR7169eDq6orY2Fh89dVXCA0NVVWOAJCSkoL//ve/eOedd8z61JRrly5dsG7dOqSmpuLTTz/F+fPn0b17d1y4cEFVeRYWFmL58uVo1aoVUlNTERsbiylTpmDdunUA1PV3WtGWLVtQUlKC6OhoAOrNk+4faxF15c1axP5zBFiLsBaB8tzecq2ItQhVF2sRdeXNWsT+cwRYi7AWgfLc3nKtyF5rESdbB2DPNBqNyXMRMWtTI7XlPXnyZOTl5WHnzp1mfWrINTg4GLm5uSgpKcGmTZsQFRWFrKwspV8NOZ4+fRpTp07Fd999hzp16lS5nRpyffLJJ5U/t23bFt26dUNgYCDWrl2Lrl27AlBHngaDAREREZg/fz4AoGPHjjh48CCWL1+OF198UdlODblWtHr1ajz55JPw9/c3aVdbnlR7HtZ/G2rLm7WI/efIWoS1iJE95loRaxGqqYf134ba8mYtYv85shZhLWJkj7lWZK+1CM9ksULDhg3h6OhotlpWXFxstqqmJr6+vgCgqrzj4uKwdetWZGRkoGnTpkq7mnJ1cXHBo48+ioiICLzzzjto3749li5dqqocc3JyUFxcjE6dOsHJyQlOTk7IysrChx9+CCcnJyUfNeRambu7O9q2bYujR4+q6u/Uz88PoaGhJm0hISE4deoUAHUdo0YnT55Eeno6/va3vyltasyTagdrEfXkzVpEHTmyFmEtYmSPuRqxFqGaYC2inrxZi6gjR9YirEWM7DFXI3uuRbjIYgUXFxd06tQJaWlpJu1paWno3r27jaJ68AICAuDr62uS961bt5CVlWV3eYsIJk+ejM2bN2PHjh0ICAgw6VdTrpWJCG7evKmqHPv27Qu9Xo/c3FzlERERgeeeew65ublo2bKlanKt7ObNmzh06BD8/PxU9Xfao0cPFBQUmLQdOXIEWq0WgDqP0aSkJPj4+GDQoEFKmxrzpNrBWsT+jwnWIqxF7DXXyliL2H+uRqxFqCZYi9j/McFahLWIveZaGWsR+8/VyK5rESGrpKSkiLOzs6xevVry8/Nl2rRp4u7uLidOnLB1aPfl6tWrsn//ftm/f78AkMWLF8v+/fvl5MmTIiKyYMEC8fDwkM2bN4ter5dnn31W/Pz85MqVKzaOvGYmTpwoHh4ekpmZKefOnVMepaWlyjZqyHXWrFmSnZ0tRUVFkpeXJ7NnzxYHBwf57rvvREQdOVYlMjJSpk6dqjxXS64zZsyQzMxMKSwslJ9++kkGDx4sjzzyiPJ/j1ry3Lt3rzg5Ocm8efPk6NGj8s9//lPc3Nxk/fr1yjZqyVVEpLy8XJo3by5vvPGGWZ+a8qTaxVrEvo8J1iKsRew1V9YirEXsOU+qXaxF7PuYYC3CWsRec2Utwlrkz5gnF1nuw8cffyxarVZcXFwkPDxcsrKybB3SfcvIyBAAZo+oqCgRETEYDKLT6cTX11dcXV3l8ccfF71eb9ugrWApRwCSlJSkbKOGXMeNG6f8G23UqJH07dtXKSRE1JFjVSoXE2rJdfTo0eLn5yfOzs7i7+8vf/3rX+XgwYNKv1ryFBH5+uuvJSwsTFxdXaV169aSmJho0q+mXFNTUwWAFBQUmPWpKU+qfaxF7PeYYC1yhxpyrAprEfvOU4S1iJGa8qTax1rEfo8J1iJ3qCHHqrAWse88RViLGNlDnhoRkQd4ogwREREREREREREREZEq8Z4sREREREREREREREREVuAiCxERERERERERERERkRW4yEJERERERERERERERGQFLrIQERERERERERERERFZgYssREREREREREREREREVuAiCxERERERERERERERkRW4yEJERERERERERERERGQFLrIQERERERERERERERFZgYssRGRzq1evRv/+/W0dRpWSk5Ph6elp9euXLVuGoUOH1l5AREREVGsGDx6MsLAwGAwGW4fyQLRo0QItWrSo9XGTkpLg6OgIvV5f62MTERE9bDgvQmTfuMhCZGc0Gs1dH9HR0bYOsUZu3ryJ+Ph4vPXWW7YOBcCdiYgPPvigVseMiYnBvn37sHPnzlodl4iIqCr3qhcqPx5WO3bswLZt26DT6eDgYJ9fjRISEqDRaJCZmfmHvu8LL7yAgIAAvPbaa3/o+xIREXFe5MHivAhRzTnZOgAiqplz584pf/78888RHx+PgoICpa1u3bp/eEy3b9+Gs7OzVa/dtGkT6tWrh169etVyVH8erq6uGDt2LD766CP07NnT1uEQEdFDQKfTmbXNnTsXHh4emDZt2h8f0J/UW2+9hRYtWmDEiBG2DsXuODk5Ydq0aYiLi8POnTtZ4xAR0R+G8yL2h/MipHb2+XMtooeYr6+v8vDw8IBGozFpy87ORqdOnVCnTh20bNkSc+fORVlZmfJ6jUaDVatWYfjw4XBzc0OrVq2wdetWpd/SKaBbtmwx+ZVrQkICOnTogDVr1qBly5ZwdXWFiODy5csYP348fHx8UL9+fTzxxBP4+eef75pPSkqK2Smj0dHRGDZsGObPn4/GjRvD09NTyeP111+Hl5cXmjZtijVr1pi8Tq/X44knnkDdunXh7e2N8ePH49q1a2bjLly4EH5+fvD29sakSZNw+/ZtAEDv3r1x8uRJTJ8+3eIve1NTUxESEoJ69eph4MCBJoVdZmYmHnvsMbi7u8PT0xM9evTAyZMnlf6hQ4diy5Yt+P333++6P4iIiGpDQkKC2QMAPD09q+x72Oj1euzatQvPP//8Q302z/0YM2YMnJycsGLFCluHQkREDxHOi3BehOjPhossRCqSmpqK559/HlOmTEF+fj5WrlyJ5ORkzJs3z2S7uXPnYtSoUcjLy8NTTz2F5557DhcvXqzRex07dgxffPEFNm3ahNzcXADAoEGDcP78eWzfvh05OTkIDw9H37597zr2Dz/8gIiICLP2HTt24OzZs8jOzsbixYuRkJCAwYMHo0GDBtizZw9iY2MRGxuL06dPAwBKS0sxcOBANGjQAPv27cO//vUvpKenY/LkySbjZmRk4Pjx48jIyMDatWuRnJyM5ORkAMDmzZvRtGlTvP322zh37pxJsVBaWoqFCxfis88+Q3Z2Nk6dOqVcHqOsrAzDhg1DZGQk8vLysHv3bowfP96kGImIiMDt27exd+/eGu1nIiKiB01EsGbNGvTo0QP169eHm5sbIiIizL60A6aXpvriiy8QHh6OunXrws/PD1OmTDH70pycnAyNRqN81laUmZkJjUZjtsij0WjQu3dvnDlzBtHR0fD19YWDg4PJ5bCys7MxZMgQNGzYEK6urmjVqhXefPNNlJaWVjtvY0wjR44064uOjoZGo0FhYSEWLlyIoKAg1K1bF6GhoUhJSQFw5xer8fHxCAgIQJ06ddCuXTukpqZafK9Tp07h5ZdfRpMmTeDi4oKmTZvi5ZdfVuqYinr37g2NRoOysjL8/e9/R0BAAFxdXREUFIRPPvnEbNu5c+cCAPr06aNMhli6B8v169fx6quvokmTJnB1dUW7du3w5Zdfmm13+fJlxMfHIzQ0FPXq1YOHhwdat26Nl156ySzehg0bok+fPvjyyy9NJnCIiIhshfMinBchsgkhIruVlJQkHh4eyvNevXrJ/PnzTbb57LPPxM/PT3kOQN58803l+bVr10Sj0ci///1vi2OKiHz11VdS8b8LnU4nzs7OUlxcrLR9//33Ur9+fblx44bJawMDA2XlypUW47906ZIAkOzsbJP2qKgo0Wq1Ul5errQFBwdLr169lOdlZWXi7u4uGzduFBGRxMREadCggVy7dk3ZZtu2beLg4CDnz583GbesrEzZZuTIkTJ69GjluVarlSVLlpjEk5SUJADk2LFjStvHH38sjRs3FhGRCxcuCADJzMy0mKdRgwYNJDk5+a7bEBERPSgARKvVmrQZDAYZO3asAJCgoCCZMGGCxMXFSevWrQWAzJgxw2R7nU4nAGTEiBHi7u4uY8eOlenTp0tISIgAkLFjx5psb/wMTUpKMosnIyNDAIhOpzOLMywsTJo1aybt27eXKVOmSGxsrOTk5IiIyPLly0Wj0YiXl5dERUXJa6+9JpGRkQJAunfvLjdv3qzW/mjfvr3Uq1fPpN4wioqKEgDy9NNPi6+vr8TExEhsbKx4enqKRqORb7/9VoYMGSIBAQHyyiuvyLhx46ROnTri4uIihYWFJmMdOXJEfHx8BIAMGTJEZs6cKUOGDBEA4uPjI0ePHjXZ3pjLiBEjpFmzZjJ+/HiZOHGieHt7CwBJTEw02b/G7aOiokSn04lOpzOpZbRarfj7+0v37t2ldevWMnnyZBk3bpy4ubmJRqOR1NRUZVuDwSBdunQRANKjRw+ZPn26zJgxQ5555hnx8PCQjIwMs30VHx8vAOTbb7+t1n4nIiKqTZwX4bwI0Z8B78lCpCI5OTnYt2+fyS80ysvLcePGDZSWlsLNzQ0A0K5dO6Xf3d0djzzyCIqLi2v0XlqtFo0aNTJ572vXrsHb29tku99//x3Hjx+3OIbx16516tQx62vTpo3JDWgbN26MsLAw5bmjoyO8vb2VuA8dOoT27dvD3d1d2aZHjx4wGAwoKChA48aNlXEdHR2Vbfz8/KDX6++Zr5ubGwIDA01eZ3xvLy8vREdHY8CAAfjLX/6Cfv36YdSoUfDz8zMZo27dujX6hS0REdGDtmrVKmzYsAEvv/wyVqxYASenO18Pbt26hREjRmDRokV49tln0alTJ5PXpaWlIScnB8HBwQCAefPmoUOHDti4cSPef/99+Pv731dcBw4cwEsvvYRPP/3U5HM7Pz8fcXFx6NChA9LT0+Hl5aX0LViwALNmzcJHH32EGTNm3HX8a9euQa/Xo1u3bne94X1+fj7y8vKUmic6Ohpdu3bFmDFjEBYWBr1er9QeAwYMwOjRo/HBBx9g6dKlyhixsbEoLi7GypUrMX78eKU9MTEREyZMQGxsLNLT083e+/Tp0zhw4ADq168PAJg6dSrCwsKwaNEixMTEKPGcOHECWVlZiI6ORu/evS3mcfbsWXTu3BkZGRlwcXEBAIwdOxb9+vXD4sWL0b9/fwB39vuePXswfPhwbN682WSMmzdvKpcSqcj4b2PXrl0YMGBAlfuSiIjoj8B5Ec6LENkCLxdGpCIGgwFz585Fbm6u8tDr9Th69KjJB3blm7FpNBoYDAYAgIODA0TEpN/SF+qKH9rG9/bz8zN579zcXBQUFOD111+3GK+3tzc0Gg0uXbpk1mcpxrvFLSJVXk+9YvvdxrgbS6+ruJ+SkpKwe/dudO/eHZ9//jmCgoLw008/mbzm4sWLJgUYERGRrS1btgzu7u5YtmyZssACAC4uLsrkxMaNG81eN3XqVGWBBbjzhfnZZ5+FiCAnJ+e+43JxccF7771nMgEAACtXrkRZWRk+/PBDkwUWAPi///s/NGrUyGK8lZ09exYGg0GZbKjKnDlzTD67u3TpgpYtW6KkpATz5s0zqYeeeeYZODs7m1x3/fTp09ixYwdCQ0OVhRGjmJgYhISE4Pvvv7d42bB33nlHWWABgODgYPTo0QMFBQW4evXqPXOsbMmSJcoCCwD07dsXWq0W+/btM9vW0g2DXV1dUa9ePbN24z785ZdfahwTERFRbeO8COdFiGyBZ7IQqUh4eDgKCgrw6KOPWj1Go0aNcPXqVVy/fl0pGIzXFr3Xe58/fx5OTk4WrwNuiYuLC0JDQ5Gfn6/8gtJaoaGhWLt2rUncP/74IxwcHBAUFFTtcVxcXFBeXm5VDB07dkTHjh0xa9YsdOvWDRs2bEDXrl0BAMePH8eNGzfQsWNHq8YmIiKqbaWlpdDr9fD398eCBQvM+o2TCYcPHzbrCw8PN2tr2rQpAKCkpOS+YwsICEDDhg3N2o1f1L/99luLZ384OztbjLeyCxcuAAAaNGhw1+0sfW77+fmhsLAQHTp0MGl3dHSEj48Pzpw5o7Tt378fABAZGWk26aHRaPD444/j0KFD+Pnnn9GsWTOT/nvt40ceeeSusVfk6emJgIAAi+Pt3r1beR4SEoK2bdtiw4YNOH36NIYNG4ZevXohPDzcbMHLyLjY9dtvv1U7HiIiogeF8yKcFyGyBS6yEKlIfHw8Bg8ejGbNmmHkyJFwcHBAXl4e9Ho9/vGPf1RrjC5dusDNzQ2zZ89GXFwc9u7da/FmtZX169cP3bp1w7Bhw/Duu+8iODgYZ8+exfbt2zFs2DCLN3ED7lxaY+fOnZg2bVoNMjX33HPPQafTISoqCgkJCfjf//6HuLg4vPDCC/f8lWpFLVq0QHZ2NsaMGQNXV1eLEzyVFRUVITExEUOHDoW/vz8KCgpw5MgRvPjii8o2P/zwA1q2bGlyai0REZEtXbp0CSKCM2fOKDdPt+T69etmbR4eHmZtxjNhrP1SXlFVn93Gm8ZWvnltTRnP1DBeoqMqFc8kMTLmWVVfxV+6XrlyBUDV+fj6+gK4c7P5ympzH1sayzhexV+uOjk5YceOHUhISMDmzZuVy641bNgQcXFxmDNnjtlii3EfGi+/QkREZEucF+G8CJEt8HJhRCoyYMAAfPPNN0hLS0Pnzp3RtWtXLF68GFqtttpjeHl5Yf369di+fTvatm2LjRs3IiEh4Z6v02g02L59Ox5//HGMGzcOQUFBGDNmDE6cOHHXD/OYmBhs377d4uRCTbi5uSE1NRUXL15E586dMWLECPTt2xfLli2r0Thvv/02Tpw4gcDAwGqfwurm5obDhw/jmWeeQVBQEMaPH4/JkydjwoQJyjYbN240u0wIERGRLRkXCTp16gQRqfKRkZFh9XsYryNeVlZm1ne3z/6qLnVhjPnKlSt3jflejJ/xxkWbB8UY76+//mqx39huacHGVho2bIhly5bhzJkzyM/Px7Jly+Dt7Q2dTof33nvPbHvjPuSlP4iI6M+A8yKcFyGyCSEisrGRI0fK/PnzbR3GA6PX68XHx0dKSkpsHQoRET3EAIhWqzVpCwkJETc3N7l06VK1xtDpdAJAMjIyzPqSkpIEgCQlJSltW7duFQCSkJBQ5Vg6nc4szsjISIvvP3HiRAEg3333XbXirYrBYBBvb28JDAy02B8VFSUApKioyKwvMjJSqvoapdVqTfbxyZMnBYC0adNGDAaDWQxt2rQRAHLq1KlqjW8prrffflsASHp6erViqm4uFZ06dUoASNeuXc36VqxYIQAkMTHxnuMQERGRZZwXIbJvPJOFiGzu/ffft3gjVbU4e/Ys1q1bV+WlOoiIiGxlypQpKC0tRUxMjMXLghUVFeHEiRNWjx8eHg6NRoOUlBTcuHFDaT969CiWLl1a4/FeeeUVODk5IS4uzuLN4ktKSpT7oNyNRqNBr169cPz48Qd6Nkvz5s3Rp08fHDx4EGvWrDHpW7NmDQ4ePIgnnnjC7H4sNWG8J0pt3Hi+qKgI+fn5Zu3GM26Ml1mraM+ePQDu3HeGiIiIrMN5ESL7xnuyEJHNabVaxMXF2TqMB+Z+b15HRET0oEyYMAE//fQT1q5dix9//BH9+vWDv78/fv31Vxw+fBh79uzBhg0bqn3z1sqaNGmC0aNHIyUlBZ06dcLAgQNRXFyMr776CgMHDsSmTZtqNF5YWBg++eQTTJw4EcHBwXjqqacQGBiIK1euoLCwEFlZWYiOjsaKFSvuOdawYcOwZcsWpKenY9SoUVblVx3Lly9Hz549ERMTg6+//lq5ue3WrVvRqFEjLF++/L7G79OnDzQaDebMmYPDhw/Dw8MDHh4emDhxYo3H+vnnnzF8+HB07twZYWFh8PX1xZkzZ7BlyxY4Ojoq92gxEhF8//33CAkJqdENdYmIiMgU50WI7BvPZCEiIiIiekhpNBokJyfj888/R5s2bfDNN99g8eLFSEtLQ506dbBw4UL069fvvt5j9erViIuLw4ULF/Dxxx8jLy8PiYmJmDx5slXjxcTEYPfu3Xj66aexe/duLFmyBF9++SV+++03TJ8+vdo3jR01ahQ8PT2xfv16q+KoruDgYPznP/9BdHQ09u7di/fffx979+5FdHQ09u3bd9+LE6GhoUhKSoKXlxeWLFmCWbNm4d1337VqrIiICMycOROOjo7Ytm0bFi1ahMzMTPTv3x+7du3CoEGDTLbPzs7GqVOnTK63TkRERET0sNGIVOPOkERERERERCoze/ZsLFy4EIWFhWjatKmtw7E7L774Ir755hsUFhbC09PT1uEQEREREdkEz2QhIiIiIqKH0syZM+Hh4YH58+fbOhS7c+zYMWzYsAFvvfUWF1iIiIiI6KHGRRYiIiIiInoo1a9fH+vXr0ezZs1gMBhsHY5d+eWXX6DT6TBp0iRbh0JEREREZFO8XBgREREREREREREREZEVeCYLERERERERERERERGRFbjIQkREREREREREREREZAUushAREREREREREREREVmBiyxERERERERERERERERW4CILERERERERERERERGRFbjIQkREREREREREREREZAUushAREREREREREREREVmBiyxERERERERERERERERW4CILERERERERERERERGRFf4f48UC/URCEycAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1,ax2,ax3) = plt.subplots(nrows=1, ncols=3, sharey = True, figsize = (20,6))\n",
    "\n",
    "ax = sns.distplot(telecom_cust[telecom_cust['Contract']=='Month-to-month']['tenure'],\n",
    "                   hist=True, kde=False,\n",
    "                   bins=int(180/5), color = 'turquoise',\n",
    "                   hist_kws={'edgecolor':'black'},\n",
    "                   kde_kws={'linewidth': 4},\n",
    "                 ax=ax1)\n",
    "ax.set_ylabel('# of Customers')\n",
    "ax.set_xlabel('Tenure (months)')\n",
    "ax.set_title('Month to Month Contract')\n",
    "\n",
    "ax = sns.distplot(telecom_cust[telecom_cust['Contract']=='One year']['tenure'],\n",
    "                   hist=True, kde=False,\n",
    "                   bins=int(180/5), color = 'steelblue',\n",
    "                   hist_kws={'edgecolor':'black'},\n",
    "                   kde_kws={'linewidth': 4},\n",
    "                 ax=ax2)\n",
    "ax.set_xlabel('Tenure (months)',size = 14)\n",
    "ax.set_title('One Year Contract',size = 14)\n",
    "\n",
    "ax = sns.distplot(telecom_cust[telecom_cust['Contract']=='Two year']['tenure'],\n",
    "                   hist=True, kde=False,\n",
    "                   bins=int(180/5), color = 'darkblue',\n",
    "                   hist_kws={'edgecolor':'black'},\n",
    "                   kde_kws={'linewidth': 4},\n",
    "                 ax=ax3)\n",
    "ax.set_xlabel('Tenure (months)')\n",
    "ax.set_title('Two Year Contract')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "71765b82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['customerID', 'gender', 'SeniorCitizen', 'Partner', 'Dependents',\n",
       "       'tenure', 'PhoneService', 'MultipleLines', 'InternetService',\n",
       "       'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',\n",
       "       'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract',\n",
       "       'PaperlessBilling', 'PaymentMethod', 'MonthlyCharges',\n",
       "       'TotalCharges', 'Churn'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "telecom_cust.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "24bf093b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1200 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "services = ['PhoneService','MultipleLines','InternetService','OnlineSecurity',\n",
    "           'OnlineBackup','DeviceProtection','TechSupport','StreamingTV','StreamingMovies']\n",
    "\n",
    "fig, axes = plt.subplots(nrows = 3,ncols = 3,figsize = (15,12))\n",
    "for i, item in enumerate(services):\n",
    "    if i < 3:\n",
    "        ax = telecom_cust[item].value_counts().plot(kind = 'bar',ax=axes[i,0],rot = 0)\n",
    "        \n",
    "    elif i >=3 and i < 6:\n",
    "        ax = telecom_cust[item].value_counts().plot(kind = 'bar',ax=axes[i-3,1],rot = 0)\n",
    "        \n",
    "    elif i < 9:\n",
    "        ax = telecom_cust[item].value_counts().plot(kind = 'bar',ax=axes[i-6,2],rot = 0)\n",
    "    ax.set_title(item)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c8c0f2ab",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Got both 'fontsize' and 'size', which are aliases of one another",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[24], line 24\u001b[0m\n\u001b[0;32m     20\u001b[0m total \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(totals)\n\u001b[0;32m     22\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m ax\u001b[38;5;241m.\u001b[39mpatches:\n\u001b[0;32m     23\u001b[0m     \u001b[38;5;66;03m# get_width pulls left or right; get_y pushes up or down\u001b[39;00m\n\u001b[1;32m---> 24\u001b[0m     ax\u001b[38;5;241m.\u001b[39mtext(i\u001b[38;5;241m.\u001b[39mget_x()\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m.15\u001b[39m, i\u001b[38;5;241m.\u001b[39mget_height()\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m4.0\u001b[39m, \\\n\u001b[0;32m     25\u001b[0m             \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mround\u001b[39m((i\u001b[38;5;241m.\u001b[39mget_height()\u001b[38;5;241m/\u001b[39mtotal), \u001b[38;5;241m1\u001b[39m))\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m     26\u001b[0m             fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m12\u001b[39m,\n\u001b[0;32m     27\u001b[0m             color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwhite\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m     28\u001b[0m            weight \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbold\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m     29\u001b[0m            size \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m14\u001b[39m)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\axes\\_axes.py:689\u001b[0m, in \u001b[0;36mAxes.text\u001b[1;34m(self, x, y, s, fontdict, **kwargs)\u001b[0m\n\u001b[0;32m    628\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    629\u001b[0m \u001b[38;5;124;03mAdd text to the Axes.\u001b[39;00m\n\u001b[0;32m    630\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    679\u001b[0m \u001b[38;5;124;03m    >>> text(x, y, s, bbox=dict(facecolor='red', alpha=0.5))\u001b[39;00m\n\u001b[0;32m    680\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    681\u001b[0m effective_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    682\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mverticalalignment\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbaseline\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m    683\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhorizontalalignment\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mleft\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    687\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[0;32m    688\u001b[0m }\n\u001b[1;32m--> 689\u001b[0m t \u001b[38;5;241m=\u001b[39m mtext\u001b[38;5;241m.\u001b[39mText(x, y, text\u001b[38;5;241m=\u001b[39ms, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39meffective_kwargs)\n\u001b[0;32m    690\u001b[0m t\u001b[38;5;241m.\u001b[39mset_clip_path(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpatch)\n\u001b[0;32m    691\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_add_text(t)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\_api\\deprecation.py:454\u001b[0m, in \u001b[0;36mmake_keyword_only.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    448\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m name_idx:\n\u001b[0;32m    449\u001b[0m     warn_deprecated(\n\u001b[0;32m    450\u001b[0m         since, message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPassing the \u001b[39m\u001b[38;5;132;01m%(name)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%(obj_type)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    451\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpositionally is deprecated since Matplotlib \u001b[39m\u001b[38;5;132;01m%(since)s\u001b[39;00m\u001b[38;5;124m; the \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    452\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter will become keyword-only \u001b[39m\u001b[38;5;132;01m%(removal)s\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    453\u001b[0m         name\u001b[38;5;241m=\u001b[39mname, obj_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m()\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 454\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\text.py:183\u001b[0m, in \u001b[0;36mText.__init__\u001b[1;34m(self, x, y, text, color, verticalalignment, horizontalalignment, multialignment, fontproperties, rotation, linespacing, rotation_mode, usetex, wrap, transform_rotates_text, parse_math, **kwargs)\u001b[0m\n\u001b[0;32m    167\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_text \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    168\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reset_visual_defaults(\n\u001b[0;32m    169\u001b[0m     text\u001b[38;5;241m=\u001b[39mtext,\n\u001b[0;32m    170\u001b[0m     color\u001b[38;5;241m=\u001b[39mcolor,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    181\u001b[0m     rotation_mode\u001b[38;5;241m=\u001b[39mrotation_mode,\n\u001b[0;32m    182\u001b[0m )\n\u001b[1;32m--> 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate(kwargs)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\text.py:223\u001b[0m, in \u001b[0;36mText.update\u001b[1;34m(self, kwargs)\u001b[0m\n\u001b[0;32m    221\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m, kwargs):\n\u001b[0;32m    222\u001b[0m     \u001b[38;5;66;03m# docstring inherited\u001b[39;00m\n\u001b[1;32m--> 223\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m cbook\u001b[38;5;241m.\u001b[39mnormalize_kwargs(kwargs, Text)\n\u001b[0;32m    224\u001b[0m     sentinel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mobject\u001b[39m()  \u001b[38;5;66;03m# bbox can be None, so use another sentinel.\u001b[39;00m\n\u001b[0;32m    225\u001b[0m     \u001b[38;5;66;03m# Update fontproperties first, as it has lowest priority.\u001b[39;00m\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\cbook\\__init__.py:1779\u001b[0m, in \u001b[0;36mnormalize_kwargs\u001b[1;34m(kw, alias_mapping)\u001b[0m\n\u001b[0;32m   1777\u001b[0m canonical \u001b[38;5;241m=\u001b[39m to_canonical\u001b[38;5;241m.\u001b[39mget(k, k)\n\u001b[0;32m   1778\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m canonical \u001b[38;5;129;01min\u001b[39;00m canonical_to_seen:\n\u001b[1;32m-> 1779\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGot both \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcanonical_to_seen[canonical]\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1780\u001b[0m                     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m, which are aliases of one another\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   1781\u001b[0m canonical_to_seen[canonical] \u001b[38;5;241m=\u001b[39m k\n\u001b[0;32m   1782\u001b[0m ret[canonical] \u001b[38;5;241m=\u001b[39m v\n",
      "\u001b[1;31mTypeError\u001b[0m: Got both 'fontsize' and 'size', which are aliases of one another"
     ]
    },
    {
     "data": {
      "image/png": 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AAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHYcMwefOndPAgQPl6empSpUqqVmzZkpMTLTeNwxDUVFRql27tlxdXRUSEqKDBw/ajBEREaHq1avL19dXK1assLm3cuVK9ezZs1TmAgAAAMfjcCE4PT1dwcHBKl++vDZu3KhDhw5p1qxZqlq1qrXPzJkzNXv2bM2dO1d79uyRj4+PQkNDdeXKFUnSunXrtHz5csXGxmrGjBkKDw9XWlqaJCkjI0MTJ07UvHnzymJ6AAAAcAAWwzCMsi7it/7+979rx44d2r59+y3vG4ah2rVra8yYMXrllVckSTk5OfL29taMGTP0/PPPa+bMmUpKSrKuAHt7e2v9+vVq2bKlhg8frsaNG+vll1++o7qysrLk4eGhzMxMubu7F22SJmMp6wJgGg71YQYAKHV3ktccbiV47dq1atGihZ566il5eXmpefPmWrRokfV+SkqKUlNT1bVrV2ubi4uLOnTooJ07d0qSgoKCtHfvXqWnpysxMVHZ2dlq2LChEhISlJSUpNGjR/9hHTk5OcrKyrK5AAAAcG9wuBB84sQJzZ8/X35+fvrqq680YsQIjR49WkuXLpUkpaamSvp1dfe3vL29rfe6deumgQMHqmXLlgoLC1NMTIwqV66skSNHasGCBZo/f778/f0VHBxcYC/xTdOnT5eHh4f1qlu3bgnOGgAAAKXJ4bZDVKhQQS1atLCu6krS6NGjtWfPHn377bfauXOngoODdf78edWqVcva57nnntOZM2e0adOmW44bFRWlzMxMhYeHq2vXrtq/f7/Wr1+vuXPn2nzp7qacnBzl5ORYX2dlZalu3bpsh7AD2yFQWhzqwwwAUOru6u0QtWrVUkBAgE1b48aNdfr0aUmSj4+PpP+3InzTpUuXCqwO33TkyBEtW7ZMU6dO1bZt29S+fXvVrFlT/fr1U1JS0i23Ori4uMjd3d3mAgAAwL3B4UJwcHCwjh49atN27Ngx1atXT5LUoEED+fj4aPPmzdb7169fV1xcnNq1a1dgPMMwNHz4cM2aNUtubm7Ky8tTbm6uJFn/5ufnl9R0AAAA4IAcLgS//PLL2rVrl6Kjo5WcnKzly5dr4cKFeuGFFyRJFotFY8aMUXR0tFavXq0DBw4oLCxMlSpV0oABAwqMt2jRInl5ealXr16Sfg3ZW7du1a5du/TOO+8oICDA5vg1AAAA3Pucy7qA/9WyZUutXr1aEyZM0JQpU9SgQQPNmTNHzzzzjLVPZGSksrOzNWrUKKWnp6t169aKjY1VlSpVbMa6ePGioqOjbfYXt2rVSmPHjlWPHj3k5eWlmJiYUpsbAAAAHIPDfTHOUXFOsP34YhxKCx9mAGBud/UX4wAAAICSRggGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACm43AhOCoqShaLxeby8fGx3jcMQ1FRUapdu7ZcXV0VEhKigwcP2owRERGh6tWry9fXVytWrLC5t3LlSvXs2bNU5gIAAADH5HAhWJKaNGmiCxcuWK/9+/db782cOVOzZ8/W3LlztWfPHvn4+Cg0NFRXrlyRJK1bt07Lly9XbGysZsyYofDwcKWlpUmSMjIyNHHiRM2bN69M5gUAAADH4JAh2NnZWT4+PtarZs2akn5dBZ4zZ44mTpyovn37KjAwUDExMfr555+1fPlySdLhw4cVEhKiFi1aqH///nJ3d9eJEyckSZGRkRo1apR8fX3LbG4AAAAoew4Zgo8fP67atWurQYMGevrpp60hNiUlRampqeratau1r4uLizp06KCdO3dKkoKCgrR3716lp6crMTFR2dnZatiwoRISEpSUlKTRo0cXqoacnBxlZWXZXAAAALg3OFwIbt26tZYuXaqvvvpKixYtUmpqqtq1a6e0tDSlpqZKkry9vW3e4+3tbb3XrVs3DRw4UC1btlRYWJhiYmJUuXJljRw5UgsWLND8+fPl7++v4ODgAnuJf2v69Ony8PCwXnXr1i25SQMAAKBUWQzDMMq6iN9z7do1PfDAA4qMjFSbNm0UHBys8+fPq1atWtY+zz33nM6cOaNNmzbdcoyoqChlZmYqPDxcXbt21f79+7V+/XrNnTtXiYmJt3xPTk6OcnJyrK+zsrJUt25dZWZmyt3dvXgneY+zlHUBMA2H/jADAJS4rKwseXh4FCqvOdxK8P+qXLmymjZtquPHj1tPibi56nvTpUuXCqwO33TkyBEtW7ZMU6dO1bZt29S+fXvVrFlT/fr1U1JS0m23Obi4uMjd3d3mAgAAwL3B4UNwTk6ODh8+rFq1aqlBgwby8fHR5s2brfevX7+uuLg4tWvXrsB7DcPQ8OHDNWvWLLm5uSkvL0+5ubmSZP2bn59fOhMBAACAw3C4EDxu3DjFxcUpJSVFu3fv1l/+8hdlZWVpyJAhslgsGjNmjKKjo7V69WodOHBAYWFhqlSpkgYMGFBgrEWLFsnLy0u9evWSJAUHB2vr1q3atWuX3nnnHQUEBKhq1aqlPEMAAACUNeeyLuB/nT17Vv3799dPP/2kmjVrqk2bNtq1a5fq1asn6ddjzrKzszVq1Cilp6erdevWio2NVZUqVWzGuXjxoqKjo62nRkhSq1atNHbsWPXo0UNeXl6KiYkp1bkBAADAMRTrF+O+/fZbrV+/Xq6urho6dKhq165dXEOXuTvZaA1bfDEOpYUvxgGAuZX4F+PGjRunihUr6vLly9a2VatW6bHHHtP06dP1+uuv6+GHH9a5c+fsGR4AAAAoUXaF4G+++UYdO3ZU9erVrW2TJk2Sh4eHli5dqpkzZyotLU2zZs0qtkIBAACA4mJXCD59+rT8/Pysr48fP66jR49q9OjRGjhwoMaNG6cnnnhCX375ZbEVCgAAABQXu0Lw1atX5ebmZn2dkJAgi8Wi7t27W9sCAgJ09uzZolcIAAAAFDO7QnCtWrV09OhR6+tNmzbJzc1NjzzyiLUtKytLLi4uRa8QAAAAKGZ2HZHWoUMHffzxx5o3b54qVqyoNWvWqFevXnJycrL2SU5OVp06dYqtUAAAAKC42HVEWnJyslq2bKmsrCwZhqFKlSpp165dCgwMlCT9+OOPqlOnjp599lm9//77xV50WeCINPtxRBpKC0ekAYC53Ules2sluGHDhjp06JA+++wzSdKf/vQn1a9f33r/1KlTGjVq1C1/xQ0AAAAoa3atBMfHx8vd3V3NmjUrgZIcEyvB9mMlGKWFlWAAMLcS/7GMjh07atGiRXYVBwAAAJQ1u0Kwl5eXKlSoUNy1AAAAAKXCrhDcrVs3xcXFyY6dFAAAAECZsysER0dHKy0tTcOHD9fly5eLuyYAAACgRNn1xbhOnTopLS1NBw4cUIUKFdSgQQN5e3vLYrH9CpTFYtGWLVuKrdiyxBfj7McX41Ba+HdTAGBud5LX7ArB5coVbgHZYrEoLy/vTod3SIRg+xGCUVoIwQBgbiV+TnB+fr5dhQEAAACOwK49wQAAAMDdzK6V4N+6evWqjh07pmvXrumxxx4rjpoAAACAEmX3SvDJkyfVu3dvVatWTS1btlTHjh2t93bs2KGAgABt27atOGoEAAAAipVdIfj06dNq06aNvvzyS/Xu3Vtt27a1OTO4devW+umnn/Txxx8XW6EAAABAcbErBE+ePFnp6emKi4vTqlWrFBoaanPf2dlZjz32mHbs2FEsRQIAAADFya4Q/NVXX6lPnz5q167dbfv4+vrq3LlzdhcGAAAAlBS7QvDly5dVv379P+yXk5Njz/AAAABAibIrBHt7eys5Ofl3+xw4cEC+vr52FQUAAACUJLtCcGhoqNatW6cDBw7c8v727du1ZcsWPfHEE0UqDgAAACgJdoXg1157Ta6urnr00UcVHR1tXRXeuHGjJk2apMcff1w1atTQ+PHji7VYAAAAoDhYjN+ebXYHdu/eraefflqnTp2SxWKRYRjWv76+vlq1apVatGhR3PWWmTv5LWrYspR1ATANuz7MAAD3jDvJa3b/Ylzr1q11/PhxrVu3Trt379bly5fl7u6u1q1bq3fv3qpQoYK9QwMAAAAlyu6VYLNhJdh+rASjtPBhBgDmdid5ze6fTQYAAADuVnZvhzAMQ2vXrtX//d//6dy5c8rNzS3Qx2Kx6IMPPihSgQAAAEBxsysE//DDD+rZs6eOHj2q39tNQQgGAACAI7IrBL/wwgs6cuSIRo4cqf79+6tWrVpydrZ7URkAAAAoVXYl1+3bt6tXr16aN29ecdcDAAAAlDi7vhjn5uamhg0bFnctAAAAQKmwKwQ//vjj2rlzZ3HXAgAAAJQKu0LwzJkzdeHCBY0fP17Z2dnFXRMAAABQouz+sYyjR4+qbdu2ysvLk5+f3y0PJLZYLNqyZUuRi3QE/FiG/fixDJQWfiwDAMytxH82ed++fQoNDVVGRoYkKSkp6Zb9LBbiDwAAAByPXdshxowZo4yMDL311ls6ffq0cnNzlZ+fX+DKy8sr7noBAACAIrNrJTgxMVF//etfFRkZWdz1AAAAACXOrpVgd3d3eXt7F3ctAAAAQKmwKwT37t1bW7duVX5+fnHXAwAAAJQ4u0LwjBkz5OLiomeeeUZnz54t7poAAACAEmXXEWn333+/rl+/rgsXLkiSqlatKg8Pj4KDWyz64Ycfil6lA+CINPtxRghKC0ekAYC5lfgRafn5+Spfvrx8fX2tbbfK0nYeQQwAAACUKLtC8MmTJ4u5DAAAAKD02LUnGAAAALib2bUS/Fs3btzQsWPHrHsv/P395exc5GEBAACAEmP3SnB6erqGDx+uqlWrqmnTpnr00Uf10EMPqWrVqho+fLjS0tKKXNz06dNlsVg0ZswYa5thGIqKilLt2rXl6uqqkJAQHTx40OZ9ERERql69unx9fbVixQqbeytXrlTPnj2LXBsAAADuXnYt2aanp6tt27Y6duyYPD099dhjj8nHx0cXL17U3r179e9//1txcXH69ttvVb16dbsK27NnjxYuXKiHHnrIpn3mzJmaPXu2lixZokaNGmnatGkKDQ3V0aNHVaVKFa1bt07Lly9XbGysjh8/rvDwcIWGhsrT01MZGRmaOHGitmzZYldNAAAAuDfYtRI8depUHTt2TBMmTNCpU6e0ceNGLV68WF9++aVOnTqliRMn6vjx45o2bZpdRV29elXPPPOMFi1apGrVqlnbDcPQnDlzNHHiRPXt21eBgYGKiYnRzz//rOXLl0uSDh8+rJCQELVo0UL9+/eXu7u7Tpw4IUmKjIzUqFGjbE61AAAAgPnYFYLXrFmjjh076s0331SlSpVs7rm6umrq1Knq1KmT1qxZY1dRL7zwgnr06KEuXbrYtKekpCg1NVVdu3a1trm4uKhDhw7auXOnJCkoKEh79+5Venq6EhMTlZ2drYYNGyohIUFJSUkaPXp0oWrIyclRVlaWzQUAAIB7g10h+Pz582rTps3v9mndurXOnz9/x2OvWLFCSUlJmj59eoF7qampkiRvb2+bdm9vb+u9bt26aeDAgWrZsqXCwsIUExOjypUra+TIkVqwYIHmz58vf39/BQcHF9hL/FvTp0+Xh4eH9apbt+4dzwUAAACOya4Q7OHhoVOnTv1un1OnTt3yV+R+z5kzZ/TSSy/po48+UsWKFW/bz2Kx/Q0ywzBs2qKiopScnKz9+/erT58+io6OVpcuXVS+fHlNmzZNCQkJGjZsmAYPHnzbZ0yYMEGZmZnW68yZM3c0FwAAADguu0JwSEiIPv30U3399de3vL9lyxZ9+umnCgkJuaNxExMTdenSJT3yyCNydnaWs7Oz4uLi9M9//lPOzs7WFeCbq743Xbp0qcDq8E1HjhzRsmXLNHXqVG3btk3t27dXzZo11a9fPyUlJd12m4OLi4vc3d1tLgAAANwb7DodYvLkydqwYYO6deumJ554Qh06dJC3t7cuXryobdu2aePGjapUqZJef/31Oxq3c+fO2r9/v01beHi4HnzwQb3yyiu6//775ePjo82bN6t58+aSpOvXrysuLk4zZswoMJ5hGBo+fLhmzZolNzc35eXlKTc3V5Ksf/Pz8+35RwAAAIC7mF0hOCAgQLGxsQoLC9OGDRu0YcMGWSwWGYYhSXrggQe0ZMkSNWnS5I7GrVKligIDA23aKleuLE9PT2v7mDFjFB0dLT8/P/n5+Sk6OlqVKlXSgAEDCoy3aNEieXl5qVevXpKk4OBgRUVFadeuXdq4caMCAgJUtWpVO/4JAAAA4G5m90+7tWvXTkePHtWOHTu0b98+ZWVlyd3dXc2bN1dwcHCBfbvFJTIyUtnZ2Ro1apTS09PVunVrxcbGqkqVKjb9Ll68qOjoaOupEZLUqlUrjR07Vj169JCXl5diYmJKpEYAAAA4Notxc/kWvysrK0seHh7Wn4dG4ZXM/xwCCuLDDADM7U7yml1fjLv//vv1z3/+83f7/Otf/9L9999vz/AAAABAibIrBJ88eVIZGRm/2yczM/MPj1EDAAAAyoJdIbgwMjMz5eLiUlLDAwAAAHYr9Bfj4uPjbV6fPHmyQJsk5eXl6ezZs/rPf/6jRo0aFb1CAAAAoJgV+otx5cqVK/SJDzd/wW3JkiUaNGhQkQp0FHwxzn58MQ6lhS/GAYC53UleK/RK8Ouvv249C3jKlCnq0KHDLX8RzsnJSdWrV1fHjh3VuHHjOy4eAAAAKGl2HZHWsWNHhYeHa/DgwSVRk0NiJdh+rASjtLASDADmViIrwb/1zTff2FUYAAAA4AjsOh3i3Llzio+P188//2xty8/P14wZMxQcHKzQ0FBt2rSp2IoEAAAAipNdK8GTJk3SmjVrdPHiRWvbm2++qcmTJ1tfx8XFaefOnWrRokXRqwQAAACKkV0rwd9++626dOmi8uXLS/p1Ffi9997Tgw8+qNOnT+u///2vKlWqpLfffrtYiwUAAACKg10h+MKFC6pfv771dVJSkn766Sf97W9/U506ddSiRQs9+eST2r17d3HVCQAAABQbu0JwXl6e8vPzra+3b98ui8WiTp06Wdvuu+8+paamFr1CAAAAoJjZFYJ9fX313//+1/p6zZo1qlWrlvz9/a1tqampqlq1apELBAAAAIqbXSH4z3/+s3bs2KGnnnpKgwYNUkJCgvr27WvT58CBA7r//vuLpUgAAACgONl1OsS4ceMUGxurzz77TJLUtGlTRUVFWe8fPnxYe/bs0YQJE4qlSAAAAKA42RWC3d3dtWvXLh04cECS1LhxYzk5OVnvu7q6avXq1RyPBgAAAIdkVwi+KTAw8Jbt9evXtzk9AgAAAHAkdu0JBgAAAO5mdq0EF/YLbxaLRT/88IM9jwAAAABKjF0hOD8/XxaLpUB7ZmamMjIyJEm1atVShQoVilQcAAAAUBLsCsEnT5783XsRERG6ePGiNm/ebG9dAAAAQIkp9j3B9evX1yeffKL09HRNnDixuIcHAAAAiqxEvhhXvnx5hYaGauXKlSUxPAAAAFAkJXY6xM8//6zLly+X1PAAAACA3UokBMfHx+vjjz+Wv79/SQwPAAAAFIldX4zr1KnTLdtv3Lihc+fO6eTJkzIMQ6+99lqRigMAAABKgl0heNu2bbdst1gsqlatmkJDQ/Xyyy+rW7duRakNAAAAKBF2nxMMAAAA3K342WQAAACYzh2F4Pj4eK1bt065ubm37XP9+nWtW7dO27dvL3JxAAAAQEkodAg+fPiwOnfurC+++ELly5e/bb8KFSpo3bp16ty5s44ePVosRQIAAADFqdAheNGiRXJ2dtabb775h32nTp0qZ2dnLViwoEjFAQAAACWh0CF469atCgkJkbe39x/29fb2VkhIiLZs2VKk4gAAAICSUOgQfOLECTVp0qTQAwcEBOjEiRN2FQUAAACUpEKH4OvXr6tChQqFHrhChQq6ceOGXUUBAAAAJanQIbhmzZp3tLKbkpKiGjVq2FUUAAAAUJIKHYJbtmypzZs36+rVq3/Y9+rVq4qNjVWrVq2KVBwAAABQEgodggcOHKj09HS9+OKLf9j3b3/7mzIyMjRw4MAiFQcAAACUhEKH4L59+6pjx476z3/+o06dOmnr1q26fv269X5ubq62bNmizp07a+nSperUqZP69OlTIkUDAAAARWExDMMobOf09HQ9+eST2r59uywWi5ydna37ftPS0pSbmyvDMPTYY4/piy++UNWqVUuq7lKXlZUlDw8PZWZmyt3dvazLuatYyroAmEahP8wAAPekO8lrd/SzydWqVdPWrVv1wQcfqG3btpKkCxcu6MKFCzIMQ+3atdOHH36orVu33lMBGAAAAPeWO1oJ/l95eXlKS0uTJHl6esrJyanYCnM0rATbj5VglBZWggHA3O4krzkX5UFOTk7y8vIqyhAAAABAqbuj7RAAAADAvYAQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATMfhQvD8+fP10EMPyd3dXe7u7mrbtq02btxovW8YhqKiolS7dm25uroqJCREBw8etBkjIiJC1atXl6+vr1asWGFzb+XKlerZs2epzAUAAACOqUhHpP3W119/rSNHjshisahx48bq1KmTXePUqVNHb731lho2bChJiomJUe/evbVv3z41adJEM2fO1OzZs7VkyRI1atRI06ZNU2hoqI4ePaoqVapo3bp1Wr58uWJjY3X8+HGFh4crNDRUnp6eysjI0MSJE7Vly5bimjYAAADuQkX6sQxJSklJUZ8+ffT999//v0EtFjVv3lyff/65fH19i1xk9erV9Y9//ENDhw5V7dq1NWbMGL3yyiuSpJycHHl7e2vGjBl6/vnnNXPmTCUlJVlXgL29vbV+/Xq1bNlSw4cPV+PGjfXyyy/fcQ38WIb9+LEMlBZ+LAMAzK3Efjb5Vp5//nnl5+crPj5e165dU1pamj788EMdOXJEo0aNKtLYeXl5WrFiha5du6a2bdsqJSVFqamp6tq1q7WPi4uLOnTooJ07d0qSgoKCtHfvXqWnpysxMVHZ2dlq2LChEhISlJSUpNGjRxfq2Tk5OcrKyrK5AAAAcG8odAj+7rvvbtkeFxent99+W48++qhcXV1VrVo1DRkyROHh4frmm2/sKmr//v1yc3OTi4uLRowYodWrVysgIECpqamSfl3d/S1vb2/rvW7dumngwIFq2bKlwsLCFBMTo8qVK2vkyJFasGCB5s+fL39/fwUHBxfYS/xb06dPl4eHh/WqW7euXXMBAACA4yl0CG7ZsqX+/ve/65dffrFpd3d31/Hjxwv0T05OtnvbgL+/v7777jvt2rVLI0eO1JAhQ3To0CHrfYvF9l+wG4Zh0xYVFaXk5GTt379fffr0UXR0tLp06aLy5ctr2rRpSkhI0LBhwzR48ODb1jBhwgRlZmZarzNnztg1FwAAADieQn8xbsGCBYqMjNSqVau0YMECde7cWZL07LPPaty4cfr+++/VvHlz5eTkaP369dqyZYteffVVu4qqUKGC9YtxLVq00J49e/Tuu+9a9wGnpqaqVq1a1v6XLl0qsDp805EjR7Rs2TLt27dPH374odq3b6+aNWuqX79+Gjp0qLKysm4Z1l1cXOTi4mJX/QAAAHBshV4JHjp0qI4cOaJWrVqpa9euCg8PV3p6uqKjo/XGG29o3bp1GjVqlF5++WUdOnRI//jHPzRlypRiKdIwDOXk5KhBgwby8fHR5s2brfeuX7+uuLg4tWvX7pbvGz58uGbNmiU3Nzfl5eUpNzdXkqx/8/Pzi6VGAAAA3D3u6Ii0GjVqaPny5RoyZIhGjRqlBx98UHPmzFFkZKQiIyN15coVGYZRpNMTXn31VXXv3l1169bVlStXtGLFCm3btk2bNm2SxWLRmDFjFB0dLT8/P/n5+Sk6OlqVKlXSgAEDCoy1aNEieXl5qVevXpKk4OBgRUVFadeuXdq4caMCAgJUtWpVu2sFAADA3cmuc4K7deumAwcOaNKkSRo8eLCWLl2qf/3rX6pXr16RC7p48aIGDRqkCxcuyMPDQw899JA2bdqk0NBQSVJkZKSys7M1atQopaenq3Xr1oqNjVWVKlUKjBMdHW09NUKSWrVqpbFjx6pHjx7y8vJSTExMkesFAADA3afI5wTv27dPzz33nI4ePaopU6ZozJgxBb64di/gnGD73Xv/aYCj4pxgADC3O8lrdxSCz58/r48++kinT59WvXr1NGDAAN13333Kz8/XnDlzNHnyZD344IP697//raCgoCJPxJEQgu1HCEZpIQQDgLmVyI9l7N69W40bN9arr76qVatWacKECWrcuLF27dqlcuXKKSIiQgcOHJCXl9dtj1MDAAAAHEGhQ3BERIRq1KihEydOKDU1VSdPnpS3t7fGjRtn7VOvXj1t2LBBS5cuVUxMjJo2bVoiRQMAAABFUegQvH//fvXt21e+vr6SpDp16qhPnz76/vvvC/R9+umndfjwYXXs2LH4KgUAAACKSaFDcJ06dbR79279dgvxnj17dN99992yf9WqVbVw4cKiVwgAAAAUs0IfkRYREaHhw4crICBAzZs31/fff69Dhw5pwYIFJVkfAAAAUOwKvRI8bNgwrVy5UvXq1dP//d//qU6dOlq5cqWee+65kqwPAAAAKHZFPifYLDgizX4ckYbSwocZAJhbiRyRBgAAANwrCMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0Cn1OMAAA+NW76e+WdQkwiZeqvVTWJdyzWAkGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJgOIRgAAACmQwgGAACA6RCCAQAAYDqEYAAAAJiOw4Xg6dOnq2XLlqpSpYq8vLz05JNP6ujRozZ9DMNQVFSUateuLVdXV4WEhOjgwYM2fSIiIlS9enX5+vpqxYoVNvdWrlypnj17lvhcAAAA4JgcLgTHxcXphRde0K5du7R582bduHFDXbt21bVr16x9Zs6cqdmzZ2vu3Lnas2ePfHx8FBoaqitXrkiS1q1bp+XLlys2NlYzZsxQeHi40tLSJEkZGRmaOHGi5s2bVybzAwAAQNlzuBC8adMmhYWFqUmTJgoKCtLixYt1+vRpJSYmSvp1FXjOnDmaOHGi+vbtq8DAQMXExOjnn3/W8uXLJUmHDx9WSEiIWrRoof79+8vd3V0nTpyQJEVGRmrUqFHy9fUtszkCAACgbDlcCP5fmZmZkqTq1atLklJSUpSamqquXbta+7i4uKhDhw7auXOnJCkoKEh79+5Venq6EhMTlZ2drYYNGyohIUFJSUkaPXr0Hz43JydHWVlZNhcAAADuDQ4dgg3DUEREhB599FEFBgZKklJTUyVJ3t7eNn29vb2t97p166aBAweqZcuWCgsLU0xMjCpXrqyRI0dqwYIFmj9/vvz9/RUcHFxgL/FN06dPl4eHh/WqW7duCc4UAAAApcmhQ/CLL76o77//Xh9//HGBexaLxea1YRg2bVFRUUpOTtb+/fvVp08fRUdHq0uXLipfvrymTZumhIQEDRs2TIMHD77lsydMmKDMzEzrdebMmeKdHAAAAMqMc1kXcDt/+9vftHbtWsXHx6tOnTrWdh8fH0m/rgjXqlXL2n7p0qUCq8M3HTlyRMuWLdO+ffv04Ycfqn379qpZs6b69eunoUOHKisrS+7u7jbvcXFxkYuLSwnMDAAAAGXN4VaCDcPQiy++qM8//1xbt25VgwYNbO43aNBAPj4+2rx5s7Xt+vXriouLU7t27W453vDhwzVr1iy5ubkpLy9Pubm5kmT9m5+fX4IzAgAAgKNxuJXgF154QcuXL9cXX3yhKlWqWPf5enh4yNXVVRaLRWPGjFF0dLT8/Pzk5+en6OhoVapUSQMGDCgw3qJFi+Tl5aVevXpJkoKDgxUVFaVdu3Zp48aNCggIUNWqVUtzigAAAChjDheC58+fL0kKCQmxaV+8eLHCwsIk/XrMWXZ2tkaNGqX09HS1bt1asbGxqlKlis17Ll68qOjoaOupEZLUqlUrjR07Vj169JCXl5diYmJKdD4AAABwPBbDMIyyLuJukJWVJQ8PD2VmZhbYP4zfZ/njLkCx4MMMpeXd9HfLugSYxEvVXirrEu4qd5LXHG5PMAAAAFDSCMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0CMEAAAAwHUIwAAAATIcQDAAAANMhBAMAAMB0HC4Ex8fHq2fPnqpdu7YsFovWrFljc98wDEVFRal27dpydXVVSEiIDh48aNMnIiJC1atXl6+vr1asWGFzb+XKlerZs2dJTwMAAAAOzOFC8LVr1xQUFKS5c+fe8v7MmTM1e/ZszZ07V3v27JGPj49CQ0N15coVSdK6deu0fPlyxcbGasaMGQoPD1daWpokKSMjQxMnTtS8efNKbT4AAABwPA4Xgrt3765p06apb9++Be4ZhqE5c+Zo4sSJ6tu3rwIDAxUTE6Off/5Zy5cvlyQdPnxYISEhatGihfr37y93d3edOHFCkhQZGalRo0bJ19e3VOcEAAAAx+JwIfj3pKSkKDU1VV27drW2ubi4qEOHDtq5c6ckKSgoSHv37lV6eroSExOVnZ2thg0bKiEhQUlJSRo9enShnpWTk6OsrCybCwAAAPeGuyoEp6amSpK8vb1t2r29va33unXrpoEDB6ply5YKCwtTTEyMKleurJEjR2rBggWaP3++/P39FRwcXGAv8W9Nnz5dHh4e1qtu3bolNzEAAACUqrsqBN9ksVhsXhuGYdMWFRWl5ORk7d+/X3369FF0dLS6dOmi8uXLa9q0aUpISNCwYcM0ePDg2z5jwoQJyszMtF5nzpwpsfkAAACgdDmXdQF3wsfHR9KvK8K1atWytl+6dKnA6vBNR44c0bJly7Rv3z59+OGHat++vWrWrKl+/fpp6NChysrKkru7e4H3ubi4yMXFpWQmAgAAgDJ1V60EN2jQQD4+Ptq8ebO17fr164qLi1O7du0K9DcMQ8OHD9esWbPk5uamvLw85ebmSpL1b35+fukUDwAAAIfhcCvBV69eVXJysvV1SkqKvvvuO+u5v2PGjFF0dLT8/Pzk5+en6OhoVapUSQMGDCgw1qJFi+Tl5aVevXpJkoKDgxUVFaVdu3Zp48aNCggIUNWqVUtragAAAHAQDheC9+7dq44dO1pfR0RESJKGDBmiJUuWKDIyUtnZ2Ro1apTS09PVunVrxcbGqkqVKjbjXLx4UdHR0dZTIySpVatWGjt2rHr06CEvLy/FxMSUzqQAAADgUCyGYRhlXcTdICsrSx4eHsrMzLzlHmLcnuWPuwDFgg8zlJZ3098t6xJgEi9Ve6msS7ir3Eleu6v2BAMAAADFgRAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABM564Nwe+//74aNGigihUr6pFHHtH27dut995++215e3vL29tb77zzjs37du/erUceeUR5eXmlXTIAAAAchHNZF2CPTz75RGPGjNH777+v4OBgLViwQN27d9ehQ4eUmZmp119/XevXr5dhGPrTn/6k0NBQBQYGKjc3VyNGjNDChQvl5ORU1tMAAABAGbkrQ/Ds2bP17LPPatiwYZKkOXPm6KuvvtL8+fPVvHlzPfTQQ+rUqZMk6aGHHtLhw4cVGBiof/zjH2rfvr1atmxZluUDAACgjN11Ifj69etKTEzU3//+d5v2rl27aufOnRo8eLCOHTum06dPyzAMHTt2TIGBgUpOTtaSJUuUmJhYqOfk5OQoJyfH+jozM1OSlJWVVXyTAVCs+G8nSssvWb+UdQkwiSwnPtnuxM2cZhjGH3c27jLnzp0zJBk7duywaX/zzTeNRo0aGYZhGPPnzzcaNWpkNGrUyJg/f75hGIbRuXNnY/Xq1cann35qNGnSxGjWrJkRFxd32+dMnjzZkMTFxcXFxcXFxXWXXWfOnPnDTHnXrQTfZLFYbF4bhmFtGzFihEaMGGG9t2TJElWpUkVt27aVv7+/9uzZo7Nnz+rpp59WSkqKXFxcCow/YcIERUREWF/n5+fr8uXL8vT0LPBsoDhlZWWpbt26OnPmjNzd3cu6HAAoMj7XUFoMw9CVK1dUu3btP+x714XgGjVqyMnJSampqTbtly5dkre3d4H+P/30k6ZMmaL4+Hjt3r1bjRo1kp+fn/z8/JSbm6tjx46padOmBd7n4uJSIBxXrVq1WOcC/B53d3f+nwWAewqfaygNHh4ehep31x2RVqFCBT3yyCPavHmzTfvmzZvVrl27Av3HjBmjl19+WXXq1FFeXp5yc3Ot927cuMFRaQAAACZ0160ES1JERIQGDRqkFi1aqG3btlq4cKFOnz5tswVC+jUYHz9+XEuXLpUktWrVSkeOHNHGjRt15swZOTk5yd/fvyymAAAAgDJ0V4bgv/71r0pLS9OUKVN04cIFBQYG6ssvv1S9evWsfbKzs/Xiiy/qk08+Ublyvy5433fffXrvvfcUHh4uFxcXxcTEyNXVtaymAdySi4uLJk+efMu96gBwN+JzDY7IYhiFOUMCAAAAuHfcdXuCAQAAgKIiBAMAAMB0CMEAAAAwHUIwAAAATIcQDJSBsLAwWSwWvfXWWzbta9as4RcJAdw1DMNQly5d1K1btwL33n//fXl4eOj06dNlUBnwxwjBQBmpWLGiZsyYofT09LIuBQDsYrFYtHjxYu3evVsLFiywtqekpOiVV17Ru+++K19f3zKsELg9QjBQRrp06SIfHx9Nnz79tn0+++wzNWnSRC4uLqpfv75mzZpVihUCwB+rW7eu3n33XY0bN04pKSkyDEPPPvusOnfurFatWumJJ56Qm5ubvL29NWjQIP3000/W965atUpNmzaVq6urPD091aVLF127dq0MZwMzIQQDZcTJyUnR0dF67733dPbs2QL3ExMT1a9fPz399NPav3+/oqKiNGnSJC1ZsqT0iwWA3zFkyBB17txZ4eHhmjt3rg4cOKB3331XHTp0ULNmzbR3715t2rRJFy9eVL9+/SRJFy5cUP/+/TV06FAdPnxY27ZtU9++fcXPF6C08GMZQBkICwtTRkaG1qxZo7Zt2yogIEAffPCB1qxZoz59+sgwDD3zzDP68ccfFRsba31fZGSkNmzYoIMHD5Zh9QBQ0KVLlxQYGKi0tDStWrVK+/bt0+7du/XVV19Z+5w9e1Z169bV0aNHdfXqVT3yyCM6efKkzS++AqWFlWCgjM2YMUMxMTE6dOiQTfvhw4cVHBxs0xYcHKzjx48rLy+vNEsEgD/k5eWl4cOHq3HjxurTp48SExP1zTffyM3NzXo9+OCDkqQffvhBQUFB6ty5s5o2baqnnnpKixYt4jsSKFWEYKCMtW/fXt26ddOrr75q024YRoGTIvgXNwAcmbOzs5ydnSVJ+fn56tmzp7777jub6/jx42rfvr2cnJy0efNmbdy4UQEBAXrvvffk7++vlJSUMp4FzMK5rAsAIL311ltq1qyZGjVqZG0LCAhQQkKCTb+dO3eqUaNGcnJyKu0SAeCOPPzww/rss89Uv359azD+XxaLRcHBwQoODtbrr7+uevXqafXq1YqIiCjlamFGrAQDDqBp06Z65pln9N5771nbxo4dqy1btmjq1Kk6duyYYmJiNHfuXI0bN64MKwWAwnnhhRd0+fJl9e/fX//973914sQJxcbGaujQocrLy9Pu3bsVHR2tvXv36vTp0/r888/1448/qnHjxmVdOkyCEAw4iKlTp9psd3j44Ye1cuVKrVixQoGBgXr99dc1ZcoUhYWFlV2RAFBItWvX1o4dO5SXl6du3bopMDBQL730kjw8PFSuXDm5u7srPj5eTzzxhBo1aqTXXntNs2bNUvfu3cu6dJgEp0MAAADAdFgJBgAAgOkQggEAAGA6hGAAAACYDiEYAAAApkMIBgAAgOkQggEAAGA6hGAAAACYDiEYAAAApkMIBoC7XFhYmCwWi06ePFnWpQDAXYMQDAAOKjExUc8++6z8/PxUuXJlubq66oEHHtCgQYO0efPmsi4PAO5qhGAAcDD5+fmKiIhQixYttHTpUt1///0aMWKEXnrpJT3yyCPasGGDunbtqqlTp5Z1qQBw13Iu6wIAALZee+01vfPOO2rWrJlWrVqlBx54wOZ+dna25s6dq7S0tDKqEADufqwEA4ADSU5O1syZM+Xp6alNmzYVCMCS5OrqqvHjx+uNN94ocO/9999X48aNVbFiRdWrV09vvPGG8vPzbfpERUXJYrFo27ZtBd6/ZMkSWSwWLVmyxNp28uRJWSwWhYWF6ciRI+rbt69q1Khh3Yf82/ds2bJFjz76qCpXrixPT08NGTKEsA7AIRGCAcCBLFmyRHl5eXr++efl7e39u31dXFxsXo8fP16TJ09WmzZt9Pzzz0v6NfBOmjSpWGpLTk5WmzZtdPHiRQ0ZMkRhYWGqUKGC9f66dev0xBNPyMfHRyNHjtQDDzygpUuXqnfv3sXyfAAoTmyHAAAHsmPHDklSp06d7vi9iYmJ+v7771WrVi1J0qRJk+Tn56f33ntPkydPtgms9tY2adIkTZky5Zb3165dq23btik4OFiSlJeXpy5dumjbtm3atWuX2rRpU6TnA0BxYiUYABxIamqqJKlOnTp3/N5JkyZZA7Ak1ahRQ71799aVK1d09OjRItfm4+Oj11577bb3BwwYYA3AkuTk5KQhQ4ZIkvbs2VPk5wNAcSIEA8A94uGHHy7QdjNMZ2RkFHn8oKCg311NLunnA0BxIgQDgAPx8fGRJJ07d+6O3+vh4VGgzdn5111veXl5RStM+sM9yiX9fAAoToRgAHAgN7cTbNmypcSeUa7crx/9N27cKHAvMzPztu+zWCwlVhMAlDZCMAA4kLCwMDk5OWnhwoX68ccff7dvTk6OXc+oVq2apFuvNu/bt8+uMQHgbkMIBgAH0rBhQ0VGRuqnn35S9+7dlZKSUqDPL7/8otmzZysqKsquZ7Ro0UKStHTpUpszhL/99lstW7bMrjEB4G7DEWkA4GCmTZumX375Re+88478/f3VqVMnBQYGqnz58kpJSdHXX3+ttLQ0TZs2za7x27Rpo7Zt22rr1q1q27at2rdvr1OnTmnt2rXq2bOnVq9eXcwzAgDHQwgGAAdTrlw5zZ49WwMGDND8+fMVHx+v+Ph45efnq1atWuratavCw8MVGhpq1/gWi0Vr165VRESENmzYoP379ysoKEhr167V+fPnCcEATMFiGIZR1kUAAAAApYk9wQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHQIwQAAADAdQjAAAABMhxAMAAAA0yEEAwAAwHT+P1iKCIjJmcs5AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#00FFFF','#90EE90']\n",
    "ax = (telecom_cust['Churn'].value_counts()*100.0 /len(telecom_cust)).plot(kind='bar',\n",
    "                                                                           stacked = True,\n",
    "                                                                          rot = 0,\n",
    "                                                                          color = colors,\n",
    "                                                                         figsize = (8,6))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('% Customers',size = 14)\n",
    "ax.set_xlabel('Churn',size = 14)\n",
    "ax.set_title('Churn Rate', size = 14)\n",
    "\n",
    "# create a list to collect the plt.patches data\n",
    "totals = []\n",
    "\n",
    "# find the values and append to list\n",
    "for i in ax.patches:\n",
    "    totals.append(i.get_width())\n",
    "\n",
    "# set individual bar lables using above list\n",
    "total = sum(totals)\n",
    "\n",
    "for i in ax.patches:\n",
    "    # get_width pulls left or right; get_y pushes up or down\n",
    "    ax.text(i.get_x()+.15, i.get_height()-4.0, \\\n",
    "            str(round((i.get_height()/total), 1))+'%',\n",
    "            fontsize=12,\n",
    "            color='white',\n",
    "           weight = 'bold',\n",
    "           size = 14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3196f554",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='MonthlyCharges', ylabel='TotalCharges'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "telecom_cust[['MonthlyCharges', 'TotalCharges']].plot.scatter(x = 'MonthlyCharges', y='TotalCharges')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ae026da5",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Got both 'fontsize' and 'size', which are aliases of one another",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[26], line 20\u001b[0m\n\u001b[0;32m     16\u001b[0m total \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(totals)\n\u001b[0;32m     18\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m ax\u001b[38;5;241m.\u001b[39mpatches:\n\u001b[0;32m     19\u001b[0m     \u001b[38;5;66;03m# get_width pulls left or right; get_y pushes up or down\u001b[39;00m\n\u001b[1;32m---> 20\u001b[0m     ax\u001b[38;5;241m.\u001b[39mtext(i\u001b[38;5;241m.\u001b[39mget_x()\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m.15\u001b[39m, i\u001b[38;5;241m.\u001b[39mget_height()\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m4.0\u001b[39m, \\\n\u001b[0;32m     21\u001b[0m             \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mround\u001b[39m((i\u001b[38;5;241m.\u001b[39mget_height()\u001b[38;5;241m/\u001b[39mtotal), \u001b[38;5;241m1\u001b[39m))\u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m     22\u001b[0m             fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m12\u001b[39m,\n\u001b[0;32m     23\u001b[0m             color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwhite\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m     24\u001b[0m            weight \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbold\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m     25\u001b[0m            size \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m14\u001b[39m)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\axes\\_axes.py:689\u001b[0m, in \u001b[0;36mAxes.text\u001b[1;34m(self, x, y, s, fontdict, **kwargs)\u001b[0m\n\u001b[0;32m    628\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    629\u001b[0m \u001b[38;5;124;03mAdd text to the Axes.\u001b[39;00m\n\u001b[0;32m    630\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    679\u001b[0m \u001b[38;5;124;03m    >>> text(x, y, s, bbox=dict(facecolor='red', alpha=0.5))\u001b[39;00m\n\u001b[0;32m    680\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    681\u001b[0m effective_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    682\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mverticalalignment\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbaseline\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m    683\u001b[0m     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhorizontalalignment\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mleft\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    687\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[0;32m    688\u001b[0m }\n\u001b[1;32m--> 689\u001b[0m t \u001b[38;5;241m=\u001b[39m mtext\u001b[38;5;241m.\u001b[39mText(x, y, text\u001b[38;5;241m=\u001b[39ms, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39meffective_kwargs)\n\u001b[0;32m    690\u001b[0m t\u001b[38;5;241m.\u001b[39mset_clip_path(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpatch)\n\u001b[0;32m    691\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_add_text(t)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\_api\\deprecation.py:454\u001b[0m, in \u001b[0;36mmake_keyword_only.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    448\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m name_idx:\n\u001b[0;32m    449\u001b[0m     warn_deprecated(\n\u001b[0;32m    450\u001b[0m         since, message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPassing the \u001b[39m\u001b[38;5;132;01m%(name)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%(obj_type)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    451\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpositionally is deprecated since Matplotlib \u001b[39m\u001b[38;5;132;01m%(since)s\u001b[39;00m\u001b[38;5;124m; the \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    452\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter will become keyword-only \u001b[39m\u001b[38;5;132;01m%(removal)s\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    453\u001b[0m         name\u001b[38;5;241m=\u001b[39mname, obj_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m()\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 454\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\text.py:183\u001b[0m, in \u001b[0;36mText.__init__\u001b[1;34m(self, x, y, text, color, verticalalignment, horizontalalignment, multialignment, fontproperties, rotation, linespacing, rotation_mode, usetex, wrap, transform_rotates_text, parse_math, **kwargs)\u001b[0m\n\u001b[0;32m    167\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_text \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    168\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reset_visual_defaults(\n\u001b[0;32m    169\u001b[0m     text\u001b[38;5;241m=\u001b[39mtext,\n\u001b[0;32m    170\u001b[0m     color\u001b[38;5;241m=\u001b[39mcolor,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    181\u001b[0m     rotation_mode\u001b[38;5;241m=\u001b[39mrotation_mode,\n\u001b[0;32m    182\u001b[0m )\n\u001b[1;32m--> 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate(kwargs)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\text.py:223\u001b[0m, in \u001b[0;36mText.update\u001b[1;34m(self, kwargs)\u001b[0m\n\u001b[0;32m    221\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m, kwargs):\n\u001b[0;32m    222\u001b[0m     \u001b[38;5;66;03m# docstring inherited\u001b[39;00m\n\u001b[1;32m--> 223\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m cbook\u001b[38;5;241m.\u001b[39mnormalize_kwargs(kwargs, Text)\n\u001b[0;32m    224\u001b[0m     sentinel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mobject\u001b[39m()  \u001b[38;5;66;03m# bbox can be None, so use another sentinel.\u001b[39;00m\n\u001b[0;32m    225\u001b[0m     \u001b[38;5;66;03m# Update fontproperties first, as it has lowest priority.\u001b[39;00m\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\matplotlib\\cbook\\__init__.py:1779\u001b[0m, in \u001b[0;36mnormalize_kwargs\u001b[1;34m(kw, alias_mapping)\u001b[0m\n\u001b[0;32m   1777\u001b[0m canonical \u001b[38;5;241m=\u001b[39m to_canonical\u001b[38;5;241m.\u001b[39mget(k, k)\n\u001b[0;32m   1778\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m canonical \u001b[38;5;129;01min\u001b[39;00m canonical_to_seen:\n\u001b[1;32m-> 1779\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGot both \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcanonical_to_seen[canonical]\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1780\u001b[0m                     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m, which are aliases of one another\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   1781\u001b[0m canonical_to_seen[canonical] \u001b[38;5;241m=\u001b[39m k\n\u001b[0;32m   1782\u001b[0m ret[canonical] \u001b[38;5;241m=\u001b[39m v\n",
      "\u001b[1;31mTypeError\u001b[0m: Got both 'fontsize' and 'size', which are aliases of one another"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#00FFFF','#90EE90']\n",
    "ax = (telecom_cust['Churn'].value_counts()*100.0 /len(telecom_cust)).plot(kind='bar', stacked = True, rot = 0, color = colors, figsize = (8,6))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.set_ylabel('% Customers',size = 14)\n",
    "ax.set_xlabel('Churn',size = 14)\n",
    "ax.set_title('Churn Rate', size = 14)\n",
    "\n",
    "# create a list to collect the plt.patches data\n",
    "totals = []\n",
    "\n",
    "# find the values and append to list\n",
    "for i in ax.patches:\n",
    "    totals.append(i.get_width())\n",
    "\n",
    "# set individual bar lables using above list\n",
    "total = sum(totals)\n",
    "\n",
    "for i in ax.patches:\n",
    "    # get_width pulls left or right; get_y pushes up or down\n",
    "    ax.text(i.get_x()+.15, i.get_height()-4.0, \\\n",
    "            str(round((i.get_height()/total), 1))+'%',\n",
    "            fontsize=12,\n",
    "            color='white',\n",
    "           weight = 'bold',\n",
    "           size = 14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f1830441",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Churn', ylabel='tenure'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = telecom_cust.Churn, y = telecom_cust.tenure)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9212dc77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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r1KlTCgkJUfXq1fXHH3+k23EAwD2ZNRc/AOC/bd261ejevbtRqFAhw9XV1XB2djby589vtGvXzli+fLlN36TPKbvz856S3O0zyS5fvmx06tTJ8PX1NVxdXY2qVasay5Ytu+fnlN3t87JS2ibJn3/+aUgyhg4dmqrj1v8/9+vUqVNGmzZtjCxZshiurq5G7dq1bT7bKyXt2rUzJBkzZsxI1b5ScvbsWeOdd94xypUrZ3h5eRkODg6Gv7+/8fTTTxszZ840YmJibPrHxsYan3zyiVGqVCnD2dnZ8PT0NOrUqWP88ssvycZOy/t06NAh49lnnzV8fHwMi8Vi87281+fNGYZhJCQkGF9++aVRokQJw8XFxQgICDB69OhhXLx48a6fM5aQkGDMmDHDqFq1quHu7m64ubkZgYGBxiuvvGKcPn3a5rgHDhxo5M2b13BwcLjn34+7Selzyu50/fp1w9HR0XBzczMiIiJS7HPnezB16lSjePHihrOzs5E7d27j3XffTfZ5a0kOHjxo9OjRw8iXL5/h5ORkZMmSxShVqpTx2muvGVu2bLmv4wCAB2ExjH99xD0AAI+xEiVK6PTp07pw4YI8PDzMLgcPaMuWLapSpYq6deummTNnptgnODhYw4YN059//mn9GAIAeJzwTBkAINP4/ffftX//fnXq1IlAlkl88sknkqRXXnnF5EoAIOPwTBkA4LE3ZcoUnTlzRtOnT5erq6sGDhxodkl4AKdPn9bcuXO1b98+/fDDD3r66afv+eHYAPC4I5QBAB57Y8aM0dmzZ1WkSBGNGTNG+fPnN7skPIDjx49r0KBB8vDwULNmzTR16lSzSwKADMUzZQAAAABgIp4pAwAAAAATEcoAAAAAwEQ8U5aOEhISdP78eXl6espisZhdDgAAAACTGIah69evK2fOnLKzu/e1MEJZOjp//rzy5MljdhkAAAAAHhFnzpxR7ty579mHUJaOPD09JSW+8V5eXiZXAwAAAMAskZGRypMnjzUj3AuhLB0l3bLo5eVFKAMAAACQqseamOgDAAAAAExEKAMAAAAAExHKAAAAAMBEhDIAAAAAMBGhDAAAAABMxOyLj4DY2FjFx8ebXcYTyd7eXo6OjmaXAQAAgCcYocxEkZGRCgsLU3R0tNmlPNGcnZ2VNWtWPsYAAAAApiCUmSQyMlLnzp2Th4eHsmbNKkdHx1R9hgHSj2EYio2NVUREhM6dOydJBDMAAAA8dIQyk4SFhcnDw0O5c+cmjJnI1dVVnp6eOnv2rMLCwghlAAAAeOiY6MMEsbGxio6Olre3N4HsEWCxWOTt7a3o6GjFxsaaXQ4AAACeMIQyEyRN6sEEE4+OpO8FE64AAADgYSOUmYirZI8OvhcAAAAwC6EMAAAAAExEKAMAAAAAExHKAAAAAMBEj1woW7t2rZo2baqcOXPKYrFo0aJFNusNw1BwcLBy5swpV1dXBQUFad++fTZ9oqOj1a9fP2XNmlXu7u5q1qyZzp49a7O+U6dO8vLyUpEiRbR69Wqb7ceOHat+/fpl2DE+DlJ67wEAAACkv0culN28eVNlypTRpEmTUlw/duxYjRs3TpMmTdLWrVsVEBCghg0b6vr169Y+/fv3188//6z58+dr/fr1unHjhp577jnrzHrTpk3T9u3btXHjRr388stq166dDMOQJJ04cUIzZszQyJEjM/5gTRQaGqp+/fqpYMGCcnZ2Vp48edS0aVOtWrXK7NIAAACAJ8oj9+HRzzzzjJ555pkU1xmGoQkTJmjw4MFq1aqVJGnOnDny9/fX3Llz1atXL0VEROirr77SN998owYNGkiSvv32W+XJk0crV65U48aNdeDAATVr1kwlSpRQwYIF9fbbbyssLEzZsmVT7969NWbMmEz9IcInT55UjRo15OPjo7Fjx6p06dKKjY3VsmXL9Oqrr+rgwYMZst/Y2Fg+BgAAAAD4l0fuStm9nDhxQqGhoWrUqJG1zdnZWXXq1NGGDRskSdu3b1dsbKxNn5w5c6pkyZLWPmXKlNH69esVFRWlZcuWKUeOHMqaNau+/fZbubi4qGXLlqmqJzo6WpGRkTZfj4M+ffrIYrFoy5Ytat26tQoXLqwSJUpowIAB2rRpk7VfWFiYWrZsKTc3NwUGBmrx4sXWdbNnz5aPj4/NuIsWLbKZWj44OFhly5bVzJkzrVfkDMOQxWLRjBkz7jo2AAAA8CR55K6U3UtoaKgkyd/f36bd399fp06dsvZxcnJSlixZkvVJ2r579+7as2ePihcvrqxZs2rBggW6evWqhg4dqj///FPvv/++5s+fr6eeekozZ85Urly5Uqxn9OjRGjZsWHofZoa6cuWK/vjjD40cOVLu7u7J1t8ZtIYNG6axY8fq448/1sSJE9WhQwedOnVKvr6+qd7f0aNHNX/2TM0fP1b29naKOZr4/N+wIe9r1MA3NbJvT33x9Xfq0L6djqxZIV8f7wc+xrSIiU9Q3OVLujjuNTmEXzClhtTItXCv2SUApjvXqqTZJWQanFOAjD+nOJWopGwfzkrWfmvtr7r25TAZt6Osbc5lqsmzzStyzFtIRny8Yo/vV+TciYo9tk+ebV6RV7u+urVmsa5+/p7s/XPLteYzsvfzV0LEFUVtXqW4k4cy9Fj+C+eUtHusQlmSf3/Qb9LVl3u5s4+jo6MmT55ss75r16567bXXtGvXLi1atEi7d+/W2LFj9dprr+mnn35KccxBgwZpwIAB1uXIyEjlyZMnLYf00Bw9elSGYaho0aL/2bdr165q166dJGnUqFGaOHGitmzZoqeffjrV+4uJidGsj0crm59tkOvUqoXaNn1WkvThm6/ri2/mauuev9W4ds37OBoAAIBHW3zoGUXM+URycJJDthxyqdpA9l5Z5Fb7OTkWLK7wD3sp/nLiL4Sjd29U9O6NycZwyJFPns+/rPjIq4qYNVYuFevI961xsjg5W/t4tu6la9NH6NbyHx7asSH9PFa3LwYEBEj654pZkkuXLlmvngUEBCgmJkZXr169a59/W716tfbv36++fftqzZo1evbZZ+Xu7q4XXnhBa9asuWs9zs7O8vLysvl61CVNaPJfIVaSSpcubX3t7u4uT09PXbp06b72ly9fvmSBTJJKFS38z9hubvJ0d9fl8PD7GhsAAOBRFx8eqhu/zNaNn6bp2pfDdOn15oq/kvjzlGPugvLu/u5/juHzygeyODkrcvbHSrh5XT69h8ni5KybKxfqfIcqivx+iiz29vLp9o7sPH0y+IiQER6rUFagQAEFBARoxYoV1raYmBiFhISoevXqkqQKFSrI0dHRps+FCxe0d+9ea5873b59W6+++qqmTp0qe3t7xcfHKzY2VlLixBRJMzZmFoGBgbJYLDpw4MB/9v33pBwWi0UJCQmSJDs7O2vAS5L0vt0ppVskJcnBwfYibeLYRop9AQAAMouEiCuKObzHuuxcouI9+7vVbS7nUlV0e88m3VqzWI55C8k+S1ZJ0s2lc2VE3dSNX7+RJFmcXeRUtFzGFY8M88iFshs3bmjXrl3atWuXpMTJPXbt2qXTp0/LYrGof//+GjVqlH7++Wft3btXXbt2lZubm9q3by9J8vb2Vo8ePfTmm29q1apV2rlzpzp27KhSpUpZZ2O80/Dhw9WkSROVK5f4F7hGjRpauHCh9uzZo0mTJqlGjRoP7dgfBl9fXzVu3FiTJ0/WzZs3k62/du1aqsbJli2brl+/bjNG0vcMAADgSedcpprsvLIka7fz9JFTYKl/Gu7xO2k7Tx95dXlLRvRtXZs6XJJkcXL5Z9O4//9CPO6fX4zfuR6Pj0fumbJt27apbt261uWkZ7a6dOmi2bNna+DAgYqKilKfPn109epVValSRcuXL5enp6d1m/Hjx8vBwUEvvPCCoqKiVL9+fc2ePVv29vY2+9q7d69++OEHmzDRunVrrVmzRrVq1VKRIkU0d+7cjD1gE3zxxReqXr26KleurOHDh6t06dKKi4vTihUrNGXKlFRdRatSpYrc3Nz03nvvqV+/ftqyZYtmz56d8cUDAAA8BtyfflEu5Wvp9q4Nij15SEbMbdn7Zpdr1YbWK12SdHt7yF3H8O42UPZeWRTx3eeKv3BakhR7/oSM+DhZ7B3kWrWhrp85JtdqDa3bxJ45mnEHhQzzyIWyoKCgZLfF3clisSg4OFjBwcF37ePi4qKJEydq4sSJ99xXyZIldeTIEZs2Ozs7ffHFF/riiy/uq+7HSYECBbRjxw6NHDlSb775pi5cuKBs2bKpQoUKmjJlSqrG8PX11bfffqu3335b06ZNU4MGDRQcHKyePXtmcPUAAACPB4ujk1wrBcm1UlCK62OOH1DE7I9TXOdcqorcgpop9vQR3Vg009pu3IjUzWUL5PFse3m16yv3Rm1k55MY8m5vC1Hc6SMpjodHm8W4VwLCfYmMjJS3t7ciIiLuOenH7du3deLECRUoUEAuLpn/EnPSNPiPstvxCTp18ZK8vvmIKfGBRxxT4qcfzilAxp1TnMtUk2vVhnIMLCV73+yy8/CS4uMVHxGu2FOHdXvzKt0K+VWKj0u+saOT/Mf/LPuAPAob3Fkxh3bZrrezl+fzL8mtXst/psTfsEyR330uI+Z2hhxPanBOsZXabCA9glfKAAAAgMfd3aa3T5XYGF3s2+Tu6xPidf2Hqbr+w9S0jY9HziM30QcAAAAAPEkIZQAAAABgIkIZAAAAAJiIZ8oAAADwxOp9JsbsEjKNxWYX8BjjShkAAAAAmIhQBgAAAAAmIpQBAAAAgIl4pgwAgP9zqdZILqWryvGpEnLMFyiLo5N1XUofMGvn5y/3ei3lWKiEnJ4qIXvf7NZ1kd9/oevff5FsG4ubh7xe6C2XSnVl55tN8ZcvKGrdb7q+aJYUa/tsi1ORsso68mvFh13QpddbyIiOSsejBQA8KghlAAD8n2frnnIqUDTV/Z2eKiGvdn1TvwOLRVk/mCanwqVlxMcp/mqYHHMXlGO7fnLMV1hXPnnzn772DvJ55QNZ7Ox0beqHBDIAyMS4fREAgCSGobgLp3Vr/VJF792aqk0Som4qet823Vg85z/7OhUtJ6fCpSVJVz56XRd7NtC16SMlSa7VG8veL8Da16NFNznmK5xYy871aTgYAMDjgitlAAD83+X3Okox0ZIkz7Z95Fyy0j37396xThc6VpUMQ5Lk0azLPfvbZ8vxz7Z7NkqSovds/md91gDFh4fK3j+PvFr3UsKNCEV89VGajgUA8PgglD2imlUqbHYJKVq89bDZJQBAxvl/IEu1uNj76h5/+YL1tUvparq9PUTOpav8sz4sVJISb1t0dtG1r0YrISL8/moCADx2uH0Rpjh59pycA0vKObCkWrzcJ8U+IZu3yDmwpF4dMuwhVwcAGSPm4E7FHN4jSfJ99zP5T1sp7x6DJElRG5YpPjxUrnWayqVMNUXv26ZbK38ys1wAwEPClTKYbumatVq3ZZtqVa5odikAkLEMQ2HDe8qrbZ/E2RezZFXc+ZPW2RftPLzl3fUtGbExuvblcMnOTi5V6su5aDnJzl6xx/fr1vqlyWZpBAA83ghlMFW+3Ll05vwFDf54vNb+8J3Z5QBAhjNu3VDErLGKmDU22TqvXkNk7+2nyO+/UNzFM8o6dLqcS1Wx6ePRrIsuv99Vxs3Ih1UyACCDcfsiTFW4QH51aN5Um3ft1qJlK1K1zenzF9Rr0BAVqFlPHsXLqmDN+uo1aIjOXLjw3xsDwCPKqUQluddrqdizx3X9p+lyb9RGzqWqKCHqli691UahvZ9WfHioHPMVlmfrnmaXCwBIR4QymO6D/n3l7OSkIeM+V3x8/D37Hjl5SjVatdXsH39WuRLF1b97F5UtUUyzf/xZ1Vu21dFTpx9S1QCQjhwc5dNriIyEhMTbFuNirVfIov/epNjjBxR/8ayiNq6UpGRXzwAAjzdCGUyXN2cOvdKxnQ4fP6FZPyy8Z9++HwzXpfArmvzhUC2cOkkj3npDC6dO0uQPh+pS+BX1/WD4Q6oaANKP5/M95Zi7oG6t/lkx+7dJkixOLokr75jh0fj/a4uT80OvEQCQcXimDI+Ed3v31OwfFmrkpClq3/w5ubm6Jutz5sIFrdm4WcUKPaUebVvbrOvRtrUmzv5Gf27YpDMXLihPjhzJtgeA/+LeuK3sA/JIkpyKlLVZ59XlLevr6z9Ok3EzUvb+eeT+dNsUx3IuU10WFzdJUuzRvYr6648U+znkKiDPVj0Ufy1cEXM+tbbHnTkqlashpxIVZefpo4ToKLmUr/n/dcfSfIwAgEcPoQyPBF8fb73Vs7uGfPqZJs7+Ru/0Tv68xK79ByVJtSpXlMVisVlnsVhUs1IFHTx2XHsOHCKUAUgT1xpP3/UDoz2bd7W+vvn7XMXfjJR91gCb9js5Fy0r56JlE/uvXnTXUObzygeyODopYuZHNpN33Fg6T24Nnpe9t5/8v1wuxcfKzsNbRlysrv8yK03HBwB4NHH7Ih4Z/bp2Uk7/7Pp0+iyFX72WbP31GzckSf5Z/VLcPiBbVklS5PUbGVYjAKQntwbPy7lEJd3euV5R65farIu/eFZhQ7rq9s71kiSLo7OiD+xQ2PBeiv3/Z50BADIHrpThkeHq4qL3+/VRn/eDNebL6WpSr47Nek8PD0nSxbDwFLdPak/qBwD3K+yDbvfVP2bfVp1rVTLN+7u18qd7fkB07ImDCv/wlTSPDwB4PHClDI+Urq1bqkjBAvry23k6c952ivsyxYpKktZv3S7DMGzWGYahv7btSOxXvMjDKRYAAABIB4QyPFLs7e314ZuvKzomRiMnfWmzLm/OHAqqWln7jxzV7B9tZ2mc/eNC7T9yVEHVqvA8GQAAAB4r3L6IR07zRg1UtVwZbdq5O9m6z4cNUb0XO6v34GD9tjpExQoV1IGjx/Xrqj+VzddXE4cNMaFiAAAAIO0IZY+oxVsPm12CqUa+PUD123dJ1l6kYAFt+Pl7jZz4hZav+0tL16xVNt8s6tyquQb366N8uXKaUC0AAACQdoQymCJ/7lyKPrL3rutrVqpw1/X5cuXUtI9GZFRpAAAAwEPFM2UAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCIHswtAys61Kml2CSnKtXDvA4/xYt839POyFZo6ari6tmmVYp/g8RM1+oupeqNHV3307lsPvE8AmUfvMzFml5BpLDa7AACAJK6UwQSThn8g/6x+envUWJ0+fyHZ+h179+njaV+pWKGnNOyN10yoEAAAAHh4CGV46LL6ZtHkEcGKvHFDPQcNkWEY1nXR0THqMXCwJGnWJ6Pl7OxkVpkAAADAQ0Eogyma1q+rzq1a6M8NmzTl23nW9uGfT9b+I0f1Xp9eKleiuE6cOatX3vtAhWo3kGfxcspXPUgvDRysU+fOJxtz5779erHvG9a+earWVu02HfTx1BkP89AAAACA+8IzZTDNp++/qzWbNmvwx+PVqHZNXbl6TeO/mq0KpUrond4va8uuPXquey/djIpSk7p19FS+vDp17rzmLflNy9auU8iC71Qwbx5J0u79B1XnhY6yt7dX0/p1lTdXDl2LvK4DR47pq+9/1Nu9XjL5aAEAAICUEcpgGi9PD00fM1JPd+6hHm8P0pWISDk6OGjmx6NlGIY6vvG2EhIStHHhfJUuVtS63V/bdqhhx256c8RH+nnaZEnSd78sUXRMjH78cqKa1q9rs5/wq9ce5mEBAAAA94XbF2GqoKqV1adTe23auVuHj5/Qh2/2V9GnCur3P0N06uw5vflyd5tAJkk1KpZX0/p19UfIOkVev2GzztXZOdk+/LL4ZOQhAAAAAA+EK2Uw3ci339Dkr79TQLas6te1oyRp8649kqRDx4/rw88nJ9vmYliYEhISdOTkSVUoVVKtnm6oibO/UZs+r6v1M41Vv0Y1Va9YXnlz5nioxwIAAADcL0IZTOfq4iJJcnZyksVikSRdjYiQJM1b/Ns9t715K0qSVLVcWS37+iuNnTpD3//6u75euEiSVL5kcY1+5y0FVa2cQdUDAAAAD4ZQhkeSp4eHJGnh1ElqUi8oVdvUrlJJtatUUtTt29qye49+Wx2iqd/NV4uX+2j7rwv1VL68GVgxAAAAkDY8U4ZHUuUypSRJm3ftvu9tXV1cVKdKZY0d9LbeeeVlRd2+rdUbNqV3iQAAAEC6IJThkdS0fj3lzZlDn838Wuu2bEu2PjY2Vn9t22FdXr91e7JJPyTpYni4JMnVJfkEIAAAAMCjgNsX8UhydnbSvInj1Oyl3mrQoavqVq+qEoGFJElnzl/QX9t2yDeLj/5etkSSNGHmHK36a6PqVKmkAnlyy8XZWTv3H9CfGzbpqXx51bxhAzMPBwAAALgrQhkeWRVLl9LWxT9p3IxZ+iNknTZs2yFnJyfl9M+uZg3r6YXnnrX27dm+rbw9PbRl999av3W7DBnKkyOHBvXppX5dO8nTw93EIwEAAADujlD2iMq1cK/ZJTxU0UdSPt5cAf769P139en7795z+0a1aqhRrRoZURoAAACQoXimDAAAAABMRCgDAAAAABMRygAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwESEMhMZhmF2CbiTIclIMLsKAAAAPGEIZSZwdHSUxWLRzZs3zS4F/3crPkGKjpLdjQizSwEAAMATxsHsAp5E9vb28vb21uXLlxUdHS0vLy85ODjIYrGYXVqGiIl/dK8+xRnSjdg4RUZEyOnvv2QXc9vskgAAAPCEIZSZJCAgQK6urrp06ZIiIyPNLidDxV2+ZHYJKTMkJcTJcv2aXDf8KufDu8yuCAAAAE8gQplJLBaLfHx85O3trfj4eMXFxZldUoa5OO41s0tImZEgu1s3ZLl9SxbxfB8AAADMQSgzmcVikYODgxwcMu+3wiH8gtklAAAAAI8sJvoAAAAAABMRygAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwESEMgAAAAAw0WMXyuLi4vT++++rQIECcnV1VcGCBTV8+HAlJCRY+xiGoeDgYOXMmVOurq4KCgrSvn37bMYZMGCAfH19lTdvXs2fP99m3YIFC9S0adOHcjwAAAAAnmyP3ScWjxkzRl9++aXmzJmjEiVKaNu2berWrZu8vb31+uuvS5LGjh2rcePGafbs2SpcuLBGjBihhg0b6tChQ/L09NSSJUs0d+5cLV++XEeOHFG3bt3UsGFD+fn56dq1axo8eLBWrVpl8pECAAAAeBI8dlfKNm7cqObNm6tJkybKnz+/WrdurUaNGmnbtm2SEq+STZgwQYMHD1arVq1UsmRJzZkzR7du3dLcuXMlSQcOHFBQUJAqVqyodu3aycvLS8ePH5ckDRw4UH369FHevHlNO0YAAAAAT47HLpTVrFlTq1at0uHDhyVJu3fv1vr16/Xss89Kkk6cOKHQ0FA1atTIuo2zs7Pq1KmjDRs2SJLKlCmjbdu26erVq9q+fbuioqJUqFAhrV+/Xjt27NBrr72Wqlqio6MVGRlp8wUAAAAA9+Oxu33xnXfeUUREhIoWLSp7e3vFx8dr5MiRateunSQpNDRUkuTv72+znb+/v06dOiVJaty4sTp27KhKlSrJ1dVVc+bMkbu7u3r37q3Zs2drypQpmjhxorJmzapp06apRIkSKdYyevRoDRs2LAOPFgAAAEBm99hdKfv+++/17bffau7cudqxY4fmzJmjTz75RHPmzLHpZ7FYbJYNw7BpCw4O1tGjR/X333+rZcuWGjVqlBo0aCBHR0eNGDFC69ev10svvaTOnTvftZZBgwYpIiLC+nXmzJn0PVgAAAAAmd5jd6Xs7bff1rvvvqsXX3xRklSqVCmdOnVKo0ePVpcuXRQQECAp8YpZjhw5rNtdunQp2dWzJAcPHtR3332nnTt3aubMmapdu7ayZcumF154Qd27d1dkZKS8vLySbefs7CxnZ+cMOEoAAAAAT4rH7krZrVu3ZGdnW7a9vb11SvwCBQooICBAK1assK6PiYlRSEiIqlevnmw8wzDUs2dPffrpp/Lw8FB8fLxiY2MlyfrnndPtAwAAAEB6euyulDVt2lQjR45U3rx5VaJECe3cuVPjxo1T9+7dJSXetti/f3+NGjVKgYGBCgwM1KhRo+Tm5qb27dsnG2/69OnKnj27mjVrJkmqUaOGgoODtWnTJi1dulTFixeXj4/PwzxEAAAAAE+Qxy6UTZw4UUOGDFGfPn106dIl5cyZU7169dIHH3xg7TNw4EBFRUWpT58+unr1qqpUqaLly5fL09PTZqyLFy9q1KhR1lkZJaly5cp688031aRJE2XPnj3Zs2oAAAAAkJ4shmEYZheRWURGRsrb21sREREpPoP2pDrXqqTZJWQauRbuNbsEwHTNKhU2u4RMY/HWw2aXAJiOc0r64Zxi636ywWP3TBkAAAAAZCaEMgAAAAAwEaEMAAAAAExEKAMAAAAAEz12sy8C92Rnr2xj5srpqRLWppurF+napPety86lq8q19nNyKlhMdj5ZZefhJSM+TglXLivmyB7dXP6DYvZvtxnW4uYhrxd6y6VSXdn5ZlP85QuKWvebri+aJcXG2PR1KlJWWUd+rfiwC7r0egsZ0VEZe8wAAAB4rBHKkKl4Pv+STSBLiUvlenKv18KmzeLgKLsceeWQI6/caj+na9NH6ubSef9faVHWD6bJqXBpGfFxir8aJsfcBeXYrp8c8xXWlU/e/Gcgewf5vPKBLHZ2ujb1QwIZAAAA/hO3LyLTcMhXWJ6tX/nPfkZcjGIO7dKNP+Yr8vsvFDlvkqI2rZSRkGDt49X+Nck+8XcWTkXLyalwaUnSlY9e18WeDXRt+khJkmv1xrL3C7Bu59GimxzzFdat9UsVvXN9eh4eAAAAMimulCFzsHdQln4jZXF0VMzRvbLPktUmLN0pcvYnKbb7vDJU7o3aSJLs3D1l5+GthIhw2WfLYe1ze89GSVL0ns3/7DprgOLDQ2Xvn0derXsp4UaEIr76KL2ODAAAAJkcV8qQKXi27imngsVkxETr6ufvyYiPT/W2FmdXORUpK+eSlaxt8RHhSogIT3x9+YK13aV0NUmSc+kq//QNC5WkxNsWnV0U8fU467YAAADAf+FKGR57jvmLyLPVy5KkyPmTFHf2eKq2yzp8lk0QS2JE39a1qR9al2MO7lTM4T1yKlxavu9+pvirYbL3zS5JitqwTPHhoXKt01QuZaopet823Vr5UzocFQAAAJ4UhDI83uwd5JN02+KhXbqxeM4DDRcfEa6rnw1S9K4N/zQahsKG95RX2z6Jsy9myaq48yetsy/aeXjLu+tbMmJjdO3L4ZKdnVyq1Jdz0XKSnb1ij+/XrfVLk83SCAAAAEiEMjzmPNv0klOBojKib+vqxPelOybr+C83l32v29tDZOfhI6ciZeRcspLsvf3k9/6XivzuM934+StrX+PWDUXMGquIWWOTjePVa4jsvf0U+f0Xirt4RlmHTpdzqSo2fTyaddHl97vKuBmZ9oMFAABApkQow2PL3i9Anq1ekiRFzv1ccedP3tf2UX/9YbPs2aaXvNr1k8XOTl4dXlf0zvWKPXnonmM4lagk93otFXv2uK7/NF3ujdrIuVQVJUTdUtiQLkq4eV3ZRsyWY77C8mzdU5FzUp5kBAAAAE8uJvrAY8vO01sWB0dJkne3gcq1cK/1yyF7Lms/93otlGvhXvn0HXHP8aK2/Gl9bbGzk1OJ5M+b2XBwlE+vITISEhJvW4yLtV4hi/57k2KPH1D8xbOK2rhSkpJdPQMAAAAkQhmeMHbefnJKYXIPSXKpUNu2wTDuOZbn8z3lmLugbq3+WTH7t0mSLE4uiSvjYv8Z5v+vLU7OaawaAAAAmRm3L+KxlXDzuqI2Lk9xnXO5mrJzcZMkxV06p9hj+xT7/88vyzZ8luLOn9LtPZsUHx4qi5OLnAJLybl0Vev2RnzcPT/82SFXAXm26qH4a+GKmPOptT3uzFGpXA05lagoO08fJURHyaV8zf+vO5Yehw0AAIBMhlCGx1b85fO68vGAFNf5f7nMGsqi927VtUnvS0qcPl+SHHLmk0fOfClua8TH6dr0UYq7cOqu+/Z55QNZHJ0UMfMjm8k7biydJ7cGz8ve20/+Xy6X4mNl5+EtIy5W13+ZlabjBAAAQOZGKMMTJe7SeUV895mci5aTQ+6CsvPKIouTs4yom4oLPauY/dt0c8WPijt34q5juDV4Xs4lKun2zvWKWr/UZl38xbMKG9JVXh37y6loeVkcnRV9YIci501S7OE9GX14AAAAeAwRypApXXylcYrtxq3ruvHTdN14gLFvrfzpnh8QHXvioMI/fOUB9gAAAIAnCRN9AAAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmckjPwTZu3Khff/1Vrq6u6t69u3LmzJmewwMAAABAppOmK2VvvfWWXFxcdOXKFWvbjz/+qFq1amn06NH64IMPVL58eZ07dy7dCgUAAACAzChNoezPP/9U3bp15evra20bMmSIvL299fXXX2vs2LEKDw/Xp59+mm6FAgAAAEBmlKZQdvr0aQUGBlqXjxw5okOHDum1115Tx44d9dZbb+nZZ5/V77//nm6FAgAAAEBmlKZQduPGDXl4eFiX169fL4vFomeeecbaVrx4cZ09e/bBKwQAAACATCxNoSxHjhw6dOiQdfmPP/6Qh4eHKlSoYG2LjIyUs7Pzg1cIAAAAAJlYmmZfrFOnjubNm6fJkyfLxcVFixYtUrNmzWRvb2/tc/ToUeXOnTvdCgUAAACAzChNV8oGDx4sV1dXvfbaa3r55Zfl6OiooUOHWtdfvnxZa9asUY0aNdKtUAAAAADIjNJ0paxQoULav3+/fvrpJ0nSc889p/z581vXnzp1Sn369FH79u3TpUgAAAAAyKzSFMrWrl0rLy8v9e3bN8X1FStWVMWKFR+oMAAAAAB4EqTp9sW6detq+vTp6V0LAAAAADxx0hTKsmfPLicnp/SuBQAAAACeOGkKZY0bN1ZISIgMw0jvegAAAADgiZKmUDZq1CiFh4erZ8+eunLlSnrXBAAAAABPjDRN9NGxY0f5+Pho5syZ+vbbb1WgQAH5+/vLYrHY9LNYLFq1alW6FAoAAAAAmVGaQtmaNWusr6Ojo3Xw4EEdPHgwWb9/hzQAAAAAgK00hbKEhIT0rgMAAAAAnkhpeqYMAAAAAJA+0nSl7E43btzQ4cOHdfPmTdWqVSs9agIAAACAJ0aar5SdPHlSzZs3V5YsWVSpUiXVrVvXuu6vv/5S8eLFbZ49AwAAAAAkl6ZQdvr0aVWtWlW///67mjdvrmrVqtl8ZlmVKlUUFhamefPmpVuhAAAAAJAZpSmUDR06VFevXlVISIh+/PFHNWzY0Ga9g4ODatWqpb/++itdigQAAACAzCpNoWzZsmVq2bKlqlevftc+efPm1blz59JcGAAAAAA8CdIUyq5cuaL8+fP/Z7/o6Oi0DA8AAAAAT4w0hTJ/f38dPXr0nn327t2rvHnzpqkoAAAAAHhSpCmUNWzYUEuWLNHevXtTXL9u3TqtWrVKzz777AMVBwAAAACZXZpC2fvvvy9XV1fVrFlTo0aNsl41W7p0qYYMGaKnn35aWbNm1dtvv52uxSY5d+6cOnbsKD8/P7m5uals2bLavn27db1hGAoODlbOnDnl6uqqoKAg7du3z2aMAQMGyNfXV3nz5tX8+fNt1i1YsEBNmzbNkNoBAAAA4E5p+vDo/Pnza9myZXrxxRf1/vvvy2KxyDAMPffcczIMQ3nz5tWPP/6oHDlypHe9unr1qmrUqKG6detq6dKlyp49u44dOyYfHx9rn7Fjx2rcuHGaPXu2ChcurBEjRqhhw4Y6dOiQPD09tWTJEs2dO1fLly/XkSNH1K1bNzVs2FB+fn66du2aBg8erFWrVqV77QAAAADwb2kKZVLiZ5EdOXJES5Ys0ebNm3XlyhV5eXmpSpUqat68uZycnNKzTqsxY8YoT548mjVrlrXtzklHDMPQhAkTNHjwYLVq1UqSNGfOHPn7+2vu3Lnq1auXDhw4oKCgIFWsWFEVK1ZU//79dfz4cfn5+WngwIHq06cPz8MBAAAAeCjSHMqkxM8ja9mypVq2bJle9fynxYsXq3HjxmrTpo1CQkKUK1cu9enTRy+//LIk6cSJEwoNDVWjRo2s2zg7O6tOnTrasGGDevXqpTJlymjatGm6evWqjh8/rqioKBUqVEjr16/Xjh07NGXKlFTVEh0dbTPDZGRkZPoeLAAAAIBML03PlJnp+PHjmjJligIDA7Vs2TK98soreu211/T1119LkkJDQyUlzhB5J39/f+u6xo0bq2PHjqpUqZK6du2qOXPmyN3dXb1799bUqVM1ZcoUFSlSRDVq1Ej2LNqdRo8eLW9vb+tXnjx5MuioAQAAAGRWab5SZhiGFi9erN27d+vcuXOKjY1N1sdiseirr756oAL/LSEhQRUrVtSoUaMkSeXKldO+ffs0ZcoUde7c2Wbf/673zrbg4GAFBwfbLDdo0ECOjo4aMWKE/v77b/3666/q3LmzzSQidxo0aJAGDBhgXY6MjCSYAQAAALgvaQplx44dU9OmTXXo0CEZhnHXfhkRynLkyKHixYvbtBUrVkw//fSTJCkgIEBS4hWzOycauXTpUrKrZ0kOHjyo7777Tjt37tTMmTNVu3ZtZcuWTS+88IK6d++uyMhIeXl5JdvO2dlZzs7O6XVoAAAAAJ5AaQplr776qg4ePKjevXurXbt2ypEjhxwcHujxtFSrUaOGDh06ZNN2+PBh5cuXT5JUoEABBQQEaMWKFSpXrpwkKSYmRiEhIRozZkyy8QzDUM+ePfXpp5/Kw8ND8fHx1qt+SX8mJCRk5CEBAAAAeIKlKUmtW7dOzZo10+TJk9O7nv/0xhtvqHr16ho1apReeOEFbdmyRdOmTdO0adMkJV6d69+/v0aNGqXAwEAFBgZq1KhRcnNzU/v27ZONN336dGXPnl3NmjWTlBj6goODtWnTJi1dulTFixe3mW4fAAAAANJTmkKZh4eHChUqlN61pEqlSpX0888/a9CgQRo+fLgKFCigCRMmqEOHDtY+AwcOVFRUlPr06aOrV6+qSpUqWr58uTw9PW3GunjxokaNGqUNGzZY2ypXrqw333xTTZo0Ufbs2TVnzpyHdmwAAAAAnjwW414Phd1Fly5ddOTIEZswg8SJPry9vRUREZHiM2hPqnOtSppdQqaRa+Fes0sATNesUmGzS8g0Fm89bHYJgOk4p6Qfzim27icbpGlK/LFjx+rChQt6++23FRUVlaYiAQAAAABpvH3R399ff/zxh6pVq6Zp06YpMDAwxfRnsVi0atWqBy4SAAAAADKrNIWynTt3qmHDhrp27ZokaceOHSn2+/dnhQEAAAAAbKXp9sX+/fvr2rVr+uijj3T69GnFxsYqISEh2Vd8fHx61wsAAAAAmUqarpRt375dbdu21cCBA9O7HgAAAAB4oqQplHl5ecnf3z+9a0Em1ftMjNklZBqLzS4AAAAA6S5Nty82b95cq1evVkJCQnrXAwAAAABPlDSFsjFjxsjZ2VkdOnTQ2bNn07smAAAAAHhipOn2xbJlyyomJkbbtm3TggUL5OPjI29v72T9LBaLjh079sBFAgAAAEBmlaZQlpCQIEdHR+XNm9faZhhGsn4ptQEAAAAA/pGmUHby5Ml0LgMAAAAAnkxpeqYMAAAAAJA+0nSl7E5xcXE6fPiwIiIi5OXlpSJFisjB4YGHBQAAAIAnQpqvlF29elU9e/aUj4+PSpUqpZo1a6p06dLy8fFRz549FR4enp51AgAAAECmlKZLWlevXlW1atV0+PBh+fn5qVatWgoICNDFixe1bds2zZgxQyEhIdq4caN8fX3Tu2YAAAAAyDTSdKXsww8/1OHDhzVo0CCdOnVKS5cu1axZs/T777/r1KlTGjx4sI4cOaIRI0akd70AAAAAkKmkKZQtWrRIdevW1ciRI+Xm5mazztXVVR9++KHq1aunRYsWpUeNAAAAAJBppSmUnT9/XlWrVr1nnypVquj8+fNpKgoAAAAAnhRpCmXe3t46derUPfucOnVK3t7eaSoKAAAAAJ4UaQplQUFB+uGHH7Ry5coU169atUo//PCDgoKCHqQ2AAAAAMj00jT74tChQ/Xbb7+pcePGevbZZ1WnTh35+/vr4sWLWrNmjZYuXSo3Nzd98MEH6V0vAAAAAGQqaQplxYsX1/Lly9W1a1f99ttv+u2332SxWGQYhiTpqaee0uzZs1WiRIl0LRYAAAAAMps0hTJJql69ug4dOqS//vpLO3fuVGRkpLy8vFSuXDnVqFFDFoslPesEAAAAgEwpzaFMkiwWi2rWrKmaNWumVz0AAAAA8ERJ00QfBQsW1Oeff37PPl9++aUKFiyYpqIAAAAA4EmRplB28uRJXbt27Z59IiIi/nPafAAAAAB40qUplKVGRESEnJ2dM2p4AAAAAMgUUv1M2dq1a22WT548maxNkuLj43X27Fl98803Kly48INXCAAAAACZWKpDWVBQkHVGRYvFojlz5mjOnDkp9jUMQxaLRaNGjUqfKgEAAAAgk0p1KPvggw+sn0U2fPhw1alTR0FBQcn62dvby9fXV3Xr1lWxYsXSs1YAAAAAyHRSHcqCg4Otr0NCQtStWzd17tw5I2oCAAAAgCdGmj6n7M8//0zvOgAAAADgiZSm2RfPnTuntWvX6tatW9a2hIQEjRkzRjVq1FDDhg31xx9/pFuRAAAAAJBZpelK2ZAhQ7Ro0SJdvHjR2jZy5EgNHTrUuhwSEqINGzaoYsWKD14lAAAAAGRSabpStnHjRjVo0ECOjo6SEq+STZw4UUWLFtXp06e1ZcsWubm56ZNPPknXYgEAAAAgs0lTKLtw4YLy589vXd6xY4fCwsLUr18/5c6dWxUrVlSLFi20efPm9KoTAAAAADKlNIWy+Ph4JSQkWJfXrVsni8WievXqWdty5cql0NDQB68QAAAAADKxNIWyvHnzasuWLdblRYsWKUeOHCpSpIi1LTQ0VD4+Pg9cIAAAAABkZmkKZc8//7z++usvtWnTRp06ddL69evVqlUrmz579+5VwYIF06VIAAAAAMis0jT74ltvvaXly5frp59+kiSVKlXK5sOlDxw4oK1bt2rQoEHpUiQAAAAAZFZpCmVeXl7atGmT9u7dK0kqVqyY7O3tretdXV31888/Mx0+AAAAAPyHNIWyJCVLlkyxPX/+/DazMwIAAAAAUpamZ8oAAAAAAOkjTVfKUjuBh8Vi0bFjx9KyCwAAAAB4IqQplCUkJMhisSRrj4iI0LVr1yRJOXLkkJOT0wMVBwAAAACZXZpC2cmTJ++5bsCAAbp48aJWrFiR1roAAAAA4ImQ7s+U5c+fX99//72uXr2qwYMHp/fwAAAAAJCpZMhEH46OjmrYsKEWLFiQEcMDAAAAQKaRYbMv3rp1S1euXMmo4QEAAAAgU8iQULZ27VrNmzdPRYoUyYjhAQAAACDTSNNEH/Xq1UuxPS4uTufOndPJkydlGIbef//9ByoOAAAAADK7NIWyNWvWpNhusViUJUsWNWzYUG+88YYaN278ILUBAAAAQKaX5s8pAwAAAAA8uAyb6AMAAAAA8N/uK5StXbtWS5YsUWxs7F37xMTEaMmSJVq3bt0DFwcAAAAAmV2qQ9mBAwdUv359/fLLL3J0dLxrPycnJy1ZskT169fXoUOH0qVIAAAAAMisUh3Kpk+fLgcHB40cOfI/+3744YdycHDQ1KlTH6g4AAAAAMjsUh3KVq9eraCgIPn7+/9nX39/fwUFBWnVqlUPVBwAAAAAZHapDmXHjx9XiRIlUj1w8eLFdfz48TQVBQAAAABPilSHspiYGDk5OaV6YCcnJ8XFxaWpKAAAAAB4UqQ6lGXLlu2+rnydOHFCWbNmTVNRAAAAAPCkSHUoq1SpklasWKEbN278Z98bN25o+fLlqly58gMVBwAAAACZXapDWceOHXX16lX17dv3P/v269dP165dU8eOHR+oOAAAAADI7FIdylq1aqW6devqm2++Ub169bR69WrFxMRY18fGxmrVqlWqX7++vv76a9WrV08tW7bMkKIBAAAAILNwuJ/OP/74o1q0aKE1a9YoJCREDg4O1ufGwsPDFRsbK8MwVKtWLf3www8ZUjAAAAAAZCapvlImSVmyZNHq1av11VdfqVq1apKkCxcu6MKFCzIMQ9WrV9fMmTO1evVq+fj4ZES9AAAAAJCp3NeVMkmyt7dXt27d1K1bN8XHxys8PFyS5OfnJ3t7+3QvEAAAAAAys/sOZXeyt7dX9uzZ06sWAAAAAHji3NftiwAAAACA9EUoAwAAAAATEcoAAAAAwESEMgAAAAAw0QNN9AEAAADg7mo3aqIGzVqrYJHicnV3V+S1qzq4e4cWzZ2lQ3/vsulbsnxljZr6barGnTDsHa3+9WdJkpu7h158uZ+q1K4n32zZdenCea1dtkQLv5mh2JgYm+2Kli6nj6bP0+XQ8+rbtomib0ely3HiwRDKAAAAgHRmZ2+vt0eMU40Gz9i0+2XzV40Gz6havcaa/ulI/bbgm7TtwEj8w2KxaNikWSpSsozi4+J0Jfyy8hR4Sh1e6a/8hYpozKDXrZvY2zuoz6DhsrOz05QxwQSyR0i6hbKVK1fq4MGDslgsKlasmOrVq5deQwMAAACPlebtutoEss0hK3X04D6VKFdJZStXl52dnV4a8J6O7t+jQ3t3S5JCz53WzM8+SnG8qnUaqnjZCpKk2NgY7d66QZJUrEwFFSlZRpI08u0+2rZ+jZq06aheAz9QjQbPKOuE0Qq7GCpJatXpJeUvVERrl/+mHRvWZtix4/49cCg7ceKEWrZsqT179ljbLBaLypUrp4ULFypv3rwPugsAAADgsdKgWWvr6707tmjkW32sy5O+/015CwbK3t5erbv2sq4LuxiqRd/OTDaWg4OjmrfvZl1ev2Kpwi9dlCRlC8hhbd+9JTGo7d660dqW1T+Hwi6GKiBXHr3Qo49uREZoxqcj0ukokV4eeKKPXr16KSEhQWvXrtXNmzcVHh6umTNn6uDBg+rTp89/DwAAAABkMgG58lhfnzp62GbdqWNHrK/LVqkpe/t7Xyep/fRz8svmb13++duvrK8vh16wvi5TuXrin5WqWdvCLiau7zNouJxdXDR74se6diX8fg4FD0GqQ9muXbtSbA8JCdEnn3yimjVrytXVVVmyZFGXLl3UrVs3/fnnn+lV512NHj1aFotF/fv3t7YZhqHg4GDlzJlTrq6uCgoK0r59+2y2GzBggHx9fZU3b17Nnz/fZt2CBQvUtGnTDK8dAAAAmdPN65HW1/kKFbZZl++pQOtrZxcXBeS+951lLe64SrZz03qdPHLQunxg93br7Y+DP/5CX/0aopffel+S9NfKpQq7GKqgZ5qrbJUa2rdjq5YvWpD2g0KGSXUoq1Spkt59913dvn3bpt3Ly0tHjhxJ1v/o0aPy8vJ68ArvYevWrZo2bZpKly5t0z527FiNGzdOkyZN0tatWxUQEKCGDRvq+vXrkqQlS5Zo7ty5Wr58ucaMGaNu3bopPDzxNwbXrl3T4MGDNXny5AytHQAAAJnX5nWrra9Llq+swZ98obY9+mj45NnKWzDQpq/HPX5mLle1pvIHFrUu33mVTEq8GDG0bzf9MneWLoWel5e3j86fPqnvvpygcUPflqe3j7r3f1exMTGaPPoD2dnZqXq9xurxxiC9/Ob7qvdcSzk6OaXTUSOtUv1M2dSpUzVw4ED9+OOPmjp1qurXry9J6tGjh9566y3t2bNH5cqVU3R0tH799VetWrVK7733XoYVfuPGDXXo0EHTp0/XiBH/3BdrGIYmTJigwYMHq1WrVpKkOXPmyN/fX3PnzlWvXr104MABBQUFqWLFiqpYsaL69++v48ePy8/PTwMHDlSfPn14Fg4AAABp9u0X41SyXCXlyldAklSlTgNVqdMgxb5xsbF3HadFh+7W1ycOH9SuzX8l63Pr5g19NX60vho/Otm63u8Ok4+vn+ZNm6jQc6c1fNIslb7j9sakfQzq2cHm6h4erlRfKevevbsOHjyoypUrq1GjRurWrZuuXr2qUaNGadiwYVqyZIn69OmjN954Q/v379fHH3+s4cOHZ1jhr776qpo0aaIGDWz/cp84cUKhoaFq1KiRtc3Z2Vl16tTRhg2JDz+WKVNG27Zt09WrV7V9+3ZFRUWpUKFCWr9+vXbs2KHXXnstVTVER0crMjLS5gsAAACIuHpFb3Z5Xj/Omaazp44rNiZG4Zcv6q9Vf2ju1M9t+l65fCnFMfIXKqJyVWtalxd9l3wSkHspWb6yGjR9XmdPHtcPs79U45YvqnSlaoq6dVP9O7bQyy3qK+xiqPIXKqIXuve+/4NEurmv2RezZs2quXPnqkuXLurTp4+KFi2qCRMmaODAgRo4cKCuX78uwzAy/LbF+fPna8eOHdq6dWuydaGhiVN++vv727T7+/vr1KlTkqTGjRurY8eOqlSpklxdXTVnzhy5u7urd+/emj17tqZMmaKJEycqa9asmjZtmkqUKJFiHaNHj9awYcPS+egAAACQGdy6eUNfT/pEX0/6xKa918Ch1tcXz53R1fDLKW5/51WysIuhWrvs11Tv28HRUX0GDVdCQoImjx6iuNhY6wQge7Zu1PFD+yVJG/5cpmYvdrGZHAQPX5pmX2zcuLH27t2rTp06qXPnznrmmWd06tQpeXp6ZnggO3PmjF5//XV9++23cnFxuWs/i8Vis2wYhk1bcHCwjh49qr///lstW7bUqFGj1KBBAzk6OmrEiBFav369XnrpJXXu3Pmu+xg0aJAiIiKsX2fOnHnwAwQAAMBjz2KxyN3DM1l7yfKV1bjlC9bllUt+SnF736zZVatRE+vyr99/rfj4uFTvv0233sqdv6BWLv5J+3YkXshwcnaWZHu7ZNJrJ+e7/1yNjJfmzylzdXXVJ598og4dOujll19WyZIlNXz4cPXv3z9ZIEpP27dv16VLl1ShQgVrW3x8vNauXatJkybp0KFDkhKvmOXI8c/nNly6dCnZ1bMkBw8e1HfffaedO3dq5syZql27trJly6YXXnhB3bt3V2RkZIph09nZWc7//8sNAAAAJHF2cdWcPzZo5+b1OnPimGJjYpS/UBFVrl1P9vb2kqTzp09q8bw5KW7/3IudrRNw3LpxQ38snJ9iv5TkyldQrbv01LXwMM36fIy1/fTxoypfrZZKlK8sT+8sir59SxWq1/7/uuQT9+Hhua9Qdv78eX377bc6ffq08uXLp/bt26tcuXLasmWLJkyYoA8++EBz587VjBkzVKZMmQwpuH79+vr7779t2rp166aiRYvqnXfeUcGCBRUQEKAVK1aoXLlykqSYmBiFhIRozJgxycYzDEM9e/bUp59+Kg8PD8XHxyv2/78xSPozISEhQ44FAAAAmZeTs7Oq1K6vKrXrJ1t37tQJDe//sqJu3Uy2zsXVTU+3bGtdXv7LD7p180aq9/vqe8Pl6OSkGeNG2kze8dsP36pR8zby8fXTjMWrFR8XJw8vb8XFxernb2bc59EhPaX69sXNmzerWLFieu+99/Tjjz9q0KBBKlasmDZt2iQ7OzsNGDBAe/fuVfbs2e86fX568PT0VMmSJW2+3N3d5efnp5IlS1o/s2zUqFH6+eeftXfvXnXt2lVubm5q3759svGmT5+u7Nmzq1mzZpKkGjVqaPXq1dq0aZPGjx+v4sWLy8fHJ92PAwAAAJlXTEy0fpwzTQf37NTV8MuKjY3R9Yhr2r9ru2aMG6nXOzTThbOnU9y2QbPn5eHlLUmKi4vV4nmzU73fhs3bqGT5ytqxca3WLv/NZt3Fc2f0Xq8O2rFxrSTJ0clZ+3dtV3C/HtbPOoM5LIZhGKnpWKNGDYWGhurPP/9U3rx5dfbsWdWtW1f+/v5av369Td/58+frjTfekIeHR4qfYZbegoKCVLZsWU2YMEFS4tWvYcOGaerUqbp69aqqVKmiyZMnq2TJkjbbXbx4UVWqVNGGDRuUM2dOa/vw4cP12WefKXv27JozZ44qV66cqjoiIyPl7e2tiIiIDH+27nHSrFLh/+6EVFm89bDZJQCm45ySfjinAJxT0hPnFFv3kw1SHcq8vLzUq1cvffzxx9a2gQMH6ssvv0xxKvhr165p4MCBmjZt2n2W//gilKWMk1364WQHZOw5xdXNXc+26aDKtespd76CcnP3UFxcrK5cvqQDe3bq9x++1eF9e2y2yeqfQy079lC5ajWVzT+n4uPjFHr2tP5a+Yd+mTdbMdG2d424uXvoxZf7qUrtevLNll2XLpzX2mVLtPCbGYqNibHpW7R0OX00fZ4uh55X37ZNFH07Kl2Pl3MKwM8p6Ylziq37yQapfqYsd+7c2rx5s80shlu3blWuXLlS7O/j4/NEBTIAwOPNzd1DH8/6QXkKPGXTbu/goBx58ilHnnyq83RTfTbsHa1ZuliSVKJcRb0/bmqyGdYKFimugkWKq/bTz2lIny66diVcUuJsbMMmzVKRkmUUHxenK+GXlafAU+rwSn/lL1REYwa9/s9+7R3UZ9Bw2dnZacqY4HQPZACAR0eqnykbMGCA1q9fr+LFi6t9+/YqWbKkQkJCNGDAgIysDwCAh6Jxy7Y2gezv7Zv17ZTxWvrTPMXFJU78ZG9vr/a9EoOTi6ubBo7+zBrIroZf1g+zvtTP336lG/9/sD7fU4XVb8ho65jFylRQkZKJE2GNfLuPejxXR1PHDpck1WjwjLL6B1j7tur0kvIXKqK1y3/Tjg1rM/DIAQBmS/WVspdeekk+Pj6aMWOGdu/erTx58ig4OFitW7fOyPoAAHgoAnLntb6+cT1SQ/p0sc6+6+jkpAZNn5ckeflkkSRVrBmkLH7ZrNt8MniA/t6+WZJ0ZP/fGjhqgiSpUs0gFSxcTMcPH1C2gH8+qmX3lg2Jf27daG3L6p9DYRdDFZArj17o0Uc3IiM049MRGXC0AIBHyX1Nid+6dWtCGAAgUzpz4qj1taubuyrUqKOdm9Yrm38OFS7xz8e87Ny4TpIUkCuPzfYnj/7zLMXJI4ds1lWqVVfHDx/Q5dAL1rYylatr2/o1KlOpmrUt7GLi+j6DhsvZxUXTPx1hvfURAJB5pfnDowEAyEyWL1qgWo2aqFjp8rK3t9eQcVNt1sfHxemv1cs05aOhkmTz2T+SlL9QYeuVsvyBRWzW5SkYKEk6sHu7Du3drSIly2jwx1/oSvhl+WXzlyT9tXKpwi6GKuiZ5ipbpYb27diq5YsWZMixAgAeLYQyAAAkxURHa3CvTur1zlA1bvFCsvVnTh7TumW/WsPY9g1rFRcXKwcHR0nSWyPHaeXin2Tv4KBG/9rewzNx1i3DMDS0bze169lPlWvXl2/WbDp/+qRC/lishd/MkKe3j7r3f1exMTGaPPoD2dnZqWpQQxUrU152dvY6dmif1i3/LdksjQCAxxuhDAAASa7u7nrv4y+stxMe2rtb2/8KUfYcORX0bHPlL1REgz+dopkTPtKi72bq0oVzmv35x3ppwHuSpCx+2dSm2yspjp00UYgk3bp5Q1+NH62vxo9O1q/3u8Pk4+unedMmKvTcaQ2fNEul77i9UZJadOiuQT07JLtSBwB4fKV69kUAADKzF1/qaw1k50+f1Dsvvaj5Mybp8w/f0/dffWHt1+GV1+Xq7i5JWjxvtj54tau2b1ir6xHXFH07SicOH9SMcaN05sQx6zZXLl/6z/2XLF9ZDZo+r7Mnj+uH2V+qccsXVbpSNUXduqn+HVvo5Rb1FXYxVPkLFdEL3Xun89EDAMzElTIAACSbCTeOHdqvhPh46/LR/Xutr51dXJUrbwEdPZDYtmvLBu36/0yKSXz8sqrb6+9Ylw/u2XnPfTs4OqrPoOFKSEjQ5NFDFBcba61nz9aNOn5ovyRpw5/L1OzFLja1AgAef1wpAwBAkp3dP/8lFihc1Ga5ULESNn2jo29Lkjy8vJON4+TsrL6DR8je3l5S4vT6G/9cfs99t+nWW7nzF9TKxT9p346t1nEkKS72n1sfk147Obuk+rgAAI8+rpQBACBp385tyh9YVJKUO19BjZ72nXZsWq9s/jlVt0lza7/LFy/o7P9vTWzT7RVVqV1fu7duVPilUPn4ZlXFmkE20+XPmfixom7dvOt+c+UrqNZdeupaeJhmfT7G2n76+FGVr1ZLJcpXlqd3FkXfvqUK1Wv/f92RdD12AIC5CGUAAEj6/qvJKl+tlnLkySdJKlamgoqVqWDTJyY6WpNGDJZhGNa2nHnzK2fe/MnGS0hI0Pzpk7Ts5+/vud9X3xsuRycnzRg30mbyjt9++FaNmreRj6+fZixerfi4OHl4eSsuLlY/fzPjAY4UAPCoIZQBACDp2pVw9e/UQs+16aRKteoqV74CcnP3UGxsjMIuhurvbZu0eP4cnTt1wrrN1nV/Kqt/DhUqVlLeWXzl4OCoq2GXtHfnVv36/Tc6dnDfPffZsHkblSxfWTs2rtXa5b/ZrLt47oze69VBnfu+qWJlKsjRyVn7d23X3Kmf6dDe3RnyHgAAzGEx7vx1Hx5IZGSkvL29FRERIS8vL7PLeWQ0q1TY7BIyjcVbD5tdAmA6zinph3MKwDklPXFOsXU/2YCJPgAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwESEMgAAAAAwEaEMAAAAAExEKAMAAAAAExHKAAAAAMBEhDIAAAAAMBGhDAAAAABMRCgDAAAAABMRygAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwESEMgAAAAAwEaEMAAAAAExEKAMAAAAAExHKAAAAAMBEhDIAAAAAMBGhDAAAAABMRCgDAAAAABMRygAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwESEMgAAAAAwEaEMAAAAAExEKAMAAAAAExHKAAAAAMBEhDIAAAAAMBGhDAAAAABMRCgDAAAAABMRygAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwEQOZhcAPIjFWw//Z59uTWop/NJFlSxfWaOmfpuqcScMe0erf/1ZkuTm7qEXX+6nKrXryTdbdl26cF5rly3Rwm9mKDYmxma7oqXL6aPp83Q59Lz6tm2i6NtR939QAAAAeKIQyoCUGIl/WCwWDZs0S0VKllF8XJyuhF9WngJPqcMr/ZW/UBGNGfS6dRN7ewf1GTRcdnZ2mjImmEAGAACAVCGUIVO4HnFNP8z+MsV1N69flySFnjutmZ99lGKfqnUaqnjZCpKk2NgY7d66QZJUrEwFFSlZRpI08u0+2rZ+jZq06aheAz9QjQbPKOuE0Qq7GCpJatXpJeUvVERrl/+mHRvWpuvxAQAAIPMilCFTuHXzhhZ9O/OefcIuhqbYx8HBUc3bd7Mur1+xVOGXLkqSsgXksLbv3pIY1HZv3Whty+qfQ2EXQxWQK49e6NFHNyIjNOPTEQ90LAAAAHiyEMqQKWTxy6avfg1RFr+sun3rlk4dO6K1y5Zo2aIFSoiPv+e2tZ9+Tn7Z/K3LP3/7lfX15dAL1tdlKlfXtvVrVKZSNWtb2MXE9X0GDZezi4umfzpC166Ep9dhAQAA4AlAKEOm4OTsrGz+iVe1PLy8VaJcRZUoV1G1GjVR8Gs9FBMdfddtW9xxlWznpvU6eeSgdfnA7u06tHe3ipQso8Eff6Er4ZetAe6vlUsVdjFUQc80V9kqNbRvx1YtX7Qgg44QAAAAmRWhDI+9E4cP6tDeXQq/FCofv2yq0/g5eXh5S5JKlq+s9j1f0+yJH6e4bbmqNZU/sKh1+c6rZJJkGIaG9u2mdj37qXLt+vLNmk3nT59UyB+LtfCbGfL09lH3/u8qNiZGk0d/IDs7O1UNaqhiZcrLzs5exw7t07rlvyWbpREAAABIQijDY61366d17tRxm7YfZk7RhO9+kY+vnySp3nOt7hrKWnTobn194vBB7dr8V7I+t27e0FfjR+ur8aOT7//dYfLx9dO8aRMVeu60hk+apdJ33N6YtI9BPTvo5vXI+z4+AAAAZH58eDQea/8OZJJ0JeySNq5eZl328fWTl0+WZP3yFyqiclVrWpcXfXfviUL+rWT5ymrQ9HmdPXlcP8z+Uo1bvqjSlaop6tZN9e/YQi+3qK+wi6HKX6iIXuje+77GBgAAwJODUIbMyWKxWTQMI1mXO6+ShV0M1dplv6Z6eAdHR/UZNFwJCQmaPHqI4mJjrROA7Nm6UccP7dfFc2e04c/EcFjmX1fPAAAAgCSEMjy2GrV4QRVrBCVr982aXdXqNrIuh1++qOsR15L1qdWoiXX51++/Vnx8XKr33aZbb+XOX1ArF/+kfTu2SkqcbESS4mJjrf2SXjs5u6R6bAAAADxZeKYMj628BQup7+ARunD2tHZtWq+wi6Hyze6v2o2ayNPbx9rvj5/mJdv2uRc7y9HJSZJ068YN/bFwfqr3mytfQbXu0lPXwsM06/Mx1vbTx4+qfLVaKlG+sjy9syj69i1VqF77/+uOpPEoAQAAkNkRyvDYy5E7r3K0bp/iunUrftcPs6fatLm4uunplm2ty8t/+UG3bt5I9f5efW+4HJ2cNGPcSJvJO3774Vs1at5GPr5+mrF4teLj4uTh5a24uFj9/M2M+zwqAAAAPCkIZXhs/Th7qk4fP6qKNYKUu0BB+fhmlbOLiyKvXdXRA3u1aslCbVqzItl2DZo9b50yPy4uVovnzU71Phs2b6OS5Strx8a1Wrv8N5t1F8+d0Xu9Oqhz3zdVrEwFOTo5a/+u7Zo79TMd2rv7gY4VAAAAmZfFSGkGBKRJZGSkvL29FRERIS8vL7PLeWQ0q1TY7BIyjcVbD5tdAmA6zinph3MKwDklPXFOsXU/2YCJPgAAAADARIQyAAAAADARoQwAAAAATEQoAwAAAAATEcoAAAAAwESEMgAAAAAwEaEMAAAAAEz02IWy0aNHq1KlSvL09FT27NnVokULHTp0yKaPYRgKDg5Wzpw55erqqqCgIO3bt8+mz4ABA+Tr66u8efNq/vz5NusWLFigpk2bZvixAAAAAMBjF8pCQkL06quvatOmTVqxYoXi4uLUqFEj3bx509pn7NixGjdunCZNmqStW7cqICBADRs21PXr1yVJS5Ys0dy5c7V8+XKNGTNG3bp1U3h4uCTp2rVrGjx4sCZPnmzK8QEAAAB4sjx2oeyPP/5Q165dVaJECZUpU0azZs3S6dOntX37dkmJV8kmTJigwYMHq1WrVipZsqTmzJmjW7duae7cuZKkAwcOKCgoSBUrVlS7du3k5eWl48ePS5IGDhyoPn36KG/evKYdIwAAAIAnx2MXyv4tIiJCkuTr6ytJOnHihEJDQ9WoUSNrH2dnZ9WpU0cbNmyQJJUpU0bbtm3T1atXtX37dkVFRalQoUJav369duzYoddeey1V+46OjlZkZKTNFwAAAADcj8c6lBmGoQEDBqhmzZoqWbKkJCk0NFSS5O/vb9PX39/fuq5x48bq2LGjKlWqpK5du2rOnDlyd3dX7969NXXqVE2ZMkVFihRRjRo1kj2LdqfRo0fL29vb+pUnT54MOlIAAAAAmdVjHcr69u2rPXv2aN68ecnWWSwWm2XDMGzagoODdfToUf39999q2bKlRo0apQYNGsjR0VEjRozQ+vXr9dJLL6lz58533f+gQYMUERFh/Tpz5kz6HRwAAACAJ4KD2QWkVb9+/bR48WKtXbtWuXPntrYHBARISrxiliNHDmv7pUuXkl09S3Lw4EF999132rlzp2bOnKnatWsrW7ZseuGFF9S9e3dFRkbKy8sr2XbOzs5ydnZO5yMDAAAA8CR57K6UGYahvn37auHChVq9erUKFChgs75AgQIKCAjQihUrrG0xMTEKCQlR9erVUxyvZ8+e+vTTT+Xh4aH4+HjFxsZKkvXPhISEDDwiAAAAAE+yx+5K2auvvqq5c+fql19+kaenp/U5MW9vb7m6uspisah///4aNWqUAgMDFRgYqFGjRsnNzU3t27dPNt706dOVPXt2NWvWTJJUo0YNBQcHa9OmTVq6dKmKFy8uHx+fh3mIAAAAAJ4gj10omzJliiQpKCjIpn3WrFnq2rWrpMRp7aOiotSnTx9dvXpVVapU0fLly+Xp6WmzzcWLFzVq1CjrrIySVLlyZb355ptq0qSJsmfPrjlz5mTo8QAAAAB4slkMwzDMLiKziIyMlLe3tyIiIlJ8Bu1J1axSYbNLyDQWbz1sdgmA6TinpB/OKQDnlPTEOcXW/WSDx+6ZMgAAAADITAhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAAAAAJiIUAYAAAAAJiKUAQAAAICJCGUAAAAAYCJCGQAAAACYiFAGAAAAACYilAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkydSj74osvVKBAAbm4uKhChQpat26ddd0nn3wif39/+fv7a/z48Tbbbd68WRUqVFB8fPzDLhkAAADAE8bB7AIyyvfff6/+/fvriy++UI0aNTR16lQ988wz2r9/vyIiIvTBBx/o119/lWEYeu6559SwYUOVLFlSsbGxeuWVVzRt2jTZ29ubfRgAAAAAMrlMG8rGjRunHj166KWXXpIkTZgwQcuWLdOUKVNUrlw5lS5dWvXq1ZMklS5dWgcOHFDJkiX18ccfq3bt2qpUqZKZ5QMAAAB4QmTKUBYTE6Pt27fr3XfftWlv1KiRNmzYoM6dO+vw4cM6ffq0DMPQ4cOHVbJkSR09elSzZ8/W9u3bU7Wf6OhoRUdHW5cjIiIkSZGRkel3MJlALLeBphv+bgGcU9IT5xSAc0p64pxiK+n9MAzjP/tmylAWFham+Ph4+fv727T7+/srNDRUxYoV06hRo9SwYUNJ0ujRo1WsWDE1aNBAY8eO1bJlyxQcHCxHR0d99tlnql27dor7GT16tIYNG5asPU+ePOl/UIAkb29vs0sAkIlwTgGQnjinpOz69ev/+d5kylCWxGKx2CwbhmFte+WVV/TKK69Y182ePVuenp6qVq2aihQpoq1bt+rs2bN68cUXdeLECTk7Oycbf9CgQRowYIB1OSEhQVeuXJGfn1+yfePRFhkZqTx58ujMmTPy8vIyuxwAjznOKQDSC+eTx5dhGLp+/bpy5sz5n30zZSjLmjWr7O3tFRoaatN+6dKlZFfPpMQra8OHD9fatWu1efNmFS5cWIGBgQoMDFRsbKwOHz6sUqVKJdvO2dk5WVjz8fFJ12PBw+Xl5cUJD0C64ZwCIL1wPnk8pfbqYaacEt/JyUkVKlTQihUrbNpXrFih6tWrJ+vfv39/vfHGG8qdO7fi4+MVGxtrXRcXF8fU+AAAAAAyTKa8UiZJAwYMUKdOnVSxYkVVq1ZN06ZN0+nTp21uWZQSg9qRI0f09ddfS5IqV66sgwcPaunSpTpz5ozs7e1VpEgRMw4BAAAAwBMg04aytm3bKjw8XMOHD9eFCxdUsmRJ/f7778qXL5+1T1RUlPr27avvv/9ednaJFw1z5cqliRMnqlu3bnJ2dtacOXPk6upq1mHgIXF2dtbQoUNTfHYQAO4X5xQA6YXzyZPBYqRmjkYAAAAAQIbIlM+UAQAAAMDjglAGAAAAACYilAEAAACAiQhleCxZLBYtWrTI7DIeKbwnAAAAjydCGe5L165dZbFYkn20gCT16dNHFotFXbt2Tbf9BQcHq2zZsuky1uzZszPFh3un53sCPAnOnDmjHj16KGfOnHJyclK+fPn0+uuvKzw83OzSADxGLBbLPb/S8+cfPHkIZbhvefLk0fz58xUVFWVtu337tubNm6e8efOaWBkA2Dp+/LgqVqyow4cPa968eTp69Ki+/PJLrVq1StWqVdOVK1fMLjFDxMTEmF0CkOlcuHDB+jVhwgR5eXnZtH322Wdml5juOJc8PIQy3Lfy5csrb968WrhwobVt4cKFypMnj8qVK2dti46O1muvvabs2bPLxcVFNWvW1NatW63r16xZI4vFolWrVqlixYpyc3NT9erVdejQIUmJV7aGDRum3bt3W38LNXv2bOv2YWFhatmypdzc3BQYGKjFixffteY1a9aoW7duioiIsI4VHBwsSbp69ao6d+6sLFmyyM3NTc8884yOHDlyz/cgqfZly5apXLlycnV1Vb169XTp0iUtXbpUxYoVk5eXl9q1a6dbt249ku8J8CR49dVX5eTkpOXLl6tOnTrKmzevnnnmGa1cuVLnzp3T4MGDrX3z58+vUaNGqXv37vL09FTevHk1bdo0m/HOnTuntm3bKkuWLPLz81Pz5s118uTJFPdtGIYKFSqkTz75xKZ97969srOz07FjxyRJERER6tmzp7Jnzy4vLy/Vq1dPu3fvtvY/duyYmjdvLn9/f3l4eKhSpUpauXKlzZj58+fXiBEj1LVrV3l7e+vll19+kLcNQAoCAgKsX97e3rJYLAoICJC/v79KlSpl8++ybNmyyp49u3V548aNcnR01I0bNyRJp0+fVvPmzeXh4SEvLy+98MILunjx4l33Xa9ePfXt29emLTw8XM7Ozlq9erWkxAA1cOBA5cqVS+7u7qpSpYrWrFlj079du3bKnTu33NzcVKpUKc2bN89mzKCgIPXt21cDBgxQ1qxZ1bBhwzS/X7hPBnAfunTpYjRv3twYN26cUb9+fWt7/fr1jfHjxxvNmzc3unTpYhiGYbz22mtGzpw5jd9//93Yt2+f0aVLFyNLlixGeHi4YRiG8eeffxqSjCpVqhhr1qwx9u3bZ9SqVcuoXr26YRiGcevWLePNN980SpQoYVy4cMG4cOGCcevWLcMwDEOSkTt3bmPu3LnGkSNHjNdee83w8PCwjv1v0dHRxoQJEwwvLy/rWNevXzcMwzCaNWtmFCtWzFi7dq2xa9cuo3HjxkahQoWMmJiYu74PSbVXrVrVWL9+vbFjxw6jUKFCRp06dYxGjRoZO3bsMNauXWv4+fkZH330kXW7R+k9ATK78PBww2KxGKNGjUpx/csvv2xkyZLFSEhIMAzDMPLly2f4+voakydPNo4cOWKMHj3asLOzMw4cOGAYhmHcvHnTCAwMNLp3727s2bPH2L9/v9G+fXujSJEiRnR0dIr7GDlypFG8eHGbtjfeeMOoXbu2YRiGkZCQYNSoUcNo2rSpsXXrVuPw4cPGm2++afj5+Vn/7e7atcv48ssvjT179hiHDx82Bg8ebLi4uBinTp2yjpkvXz7Dy8vL+Pjjj40jR44YR44cebA3D8A9zZo1y/D29rYut2rVyujbt69hGIZx5coVw9HR0fDx8TH27dtnGIZhjBo1yqhSpYphGIn/7suVK2fUrFnT2LZtm7Fp0yajfPnyRp06de66v++++87IkiWLcfv2bWvbZ599ZuTPn996Dmvfvr1RvXp1Y+3atcbRo0eNjz/+2HB2djYOHz5sGIZhnD171vj444+NnTt3GseOHTM+//xzw97e3ti0aZN1zDp16hgeHh7G22+/bRw8eNB6/kPGI5ThviSFssuXLxvOzs7GiRMnjJMnTxouLi7G5cuXraHsxo0bhqOjo/Hdd99Zt42JiTFy5sxpjB071jCMfwLIypUrrX1+++03Q5IRFRVlGIZhDB061ChTpkyyOiQZ77//vnX5xo0bhsViMZYuXXrX2v99AjUMwzh8+LAhyfjrr7+sbWFhYYarq6uxYMGCu46VUu2jR482JBnHjh2ztvXq1cto3LixtcZH7T0BMrNNmzYZkoyff/45xfXjxo0zJBkXL140DCMx2HTs2NG6PiEhwciePbsxZcoUwzAM46uvvjKKFCli/QHIMBJ/4ePq6mosW7YsxX2cP3/esLe3NzZv3mwYRuK/+WzZshmzZ882DMMwVq1aZXh5edn8oGUYhvHUU08ZU6dOveuxFS9e3Jg4caJ1OV++fEaLFi3u2h9A+vr3zxSff/65UbJkScMwDGPRokVGxYoVjVatWhmTJ082DMMwGjVqZLzzzjuGYRjG8uXLDXt7e+P06dPW7fft22dIMrZs2ZLi/m7fvm34+voa33//vbWtbNmyRnBwsGEYhnH06FHDYrEY586ds9mufv36xqBBg+56HM8++6zx5ptvWpfr1KljlC1bNjVvAdIZty8iTbJmzaomTZpozpw5mjVrlpo0aaKsWbNa1x87dkyxsbGqUaOGtc3R0VGVK1fWgQMHbMYqXbq09XWOHDkkSZcuXfrPGu7czt3dXZ6entbtSpQoIQ8PD3l4eOiZZ5656xgHDhyQg4ODqlSpYm3z8/NTkSJFrHU+88wz1rFKlChx1xr8/f3l5uamggUL2rQl1WT2ewLAlmEYkhIf3k9y57+hpFuTkv4Nbd++XUePHpWnp6f1nODr66vbt29bb0X8txw5cqhJkyaaOXOmJOnXX3/V7du31aZNG+uYN27ckJ+fn3VMDw8PnThxwjrmzZs3NXDgQBUvXlw+Pj7y8PDQwYMHdfr0aZt9VaxYMZ3eGQD3KygoSPv27VNYWJhCQkIUFBSkoKAghYSEKC4uThs2bFCdOnUkJf7skSdPHuXJk8e6fdK/73//PJDE2dlZHTt2tJ5Ldu3apd27d1snF9mxY4cMw1DhwoVtziUhISHWc0l8fLxGjhyp0qVLW885y5cv51zyiHAwuwA8vrp37269v3ny5Mk261L6YSep/d9tjo6O1tdJ6xISEv5z/3dul7Rt0na///67YmNjJUmurq53HSOpzpTak2qZMWOGdVKTf+/z37Xfqyaz3xPgSVOoUCFZLBbt379fLVq0SLb+4MGDypIli80vlO71byghIUEVKlTQd999l2ysbNmy3bWOl156SZ06ddL48eM1a9YstW3bVm5ubtYxc+TIYfPcR5Kk2WLffvttLVu2TJ988okKFSokV1dXtW7dOtkD+O7u7netAUDGKlmypPz8/BQSEqKQkBANHz5cefLk0ciRI7V161ZFRUWpZs2aklL+f/9e7UleeukllS1bVmfPntXMmTNVv3595cuXT1LiucTe3l7bt2+Xvb29zXYeHh6SpE8//VTjx4/XhAkTVKpUKbm7u6t///6cSx4RhDKk2dNPP239h9y4cWObdYUKFZKTk5PWr1+v9u3bS5JiY2O1bds29e/fP9X7cHJyUnx8/H3XlnSS+q+xihcvrri4OG3evFnVq1eXlPgg7OHDh1WsWDFJUq5cue57/ykx+z0BnjR+fn5q2LChvvjiC73xxhs2v6AJDQ3Vd999p86dO9/zh6A7lS9fXt9//711Qo7UevbZZ+Xu7q4pU6Zo6dKlWrt2rc2YoaGhcnBwUP78+VPcft26deratatatmwpSbpx48ZdJxcBYA6LxaLatWvrl19+0d69e1WrVi15enoqNjZWX375pcqXLy9PT09JiT97nD59WmfOnLFeLdu/f78iIiKsP3ukpFSpUqpYsaKmT5+uuXPnauLEidZ15cqVU3x8vC5duqRatWqluP26devUvHlzdezYUVJikDty5Mg994mHh9sXkWb29vY6cOCADhw4kOy3Mu7u7urdu7fefvtt/fHHH9q/f79efvll3bp1Sz169Ej1PvLnz68TJ05o165dCgsLU3R0dJrrzZ8/v27cuKFVq1YpLCxMt27dUmBgoJo3b66XX35Z69ev1+7du9WxY0flypVLzZs3T/O+UvIovidAZjdp0iRFR0ercePGWrt2rc6cOaM//vhDDRs2VK5cuTRy5MhUj9WhQwdlzZpVzZs317p163TixAmFhITo9ddf19mzZ++6nb29vbp27apBgwapUKFCqlatmnVdgwYNVK1aNbVo0ULLli3TyZMntWHDBr3//vvatm2bpMRf6CxcuNB6u1L79u25Ag48goKCgjR37lyVLl1aXl5e1qD23XffKSgoyNqvQYMGKl26tDp06KAdO3Zoy5Yt6ty5s+rUqfOftw6+9NJL+uijjxQfH2/9RY0kFS5cWB06dFDnzp21cOFCnThxQlu3btWYMWP0+++/S0o8l6xYsUIbNmzQgQMH1KtXL4WGhmbIe4H7RyjDA/Hy8rrrb4w/+ugjPf/88+rUqZPKly+vo0ePatmyZcqSJUuqx3/++ef19NNPq27dusqWLVuyqVvvR/Xq1fXKK6+obdu2ypYtm8aOHStJmjVrlipUqKDnnntO1apVk2EY+v3335PdxpQeHrX3BMjsAgMDtW3bNj311FNq27atnnrqKfXs2VN169bVxo0b5evrm+qx3NzctHbtWuXNm1etWrVSsWLF1L17d0VFRf3nlbMePXooJiZG3bt3t2m3WCz6/fffVbt2bXXv3l2FCxfWiy++qJMnT8rf31+SNH78eGXJkkXVq1dX06ZN1bhxY5UvX/7+3wwAGapu3bqKj4+3CWB16tRRfHy89XkyKfHf/aJFi5QlSxbVrl1bDRo0UMGCBfX999//5z7atWsnBwcHtW/fXi4uLjbrZs2apc6dO+vNN99UkSJF1KxZM23evNl6NW7IkCEqX768GjdurKCgIAUEBKR4azfMYTHu9lANAABIF3/99ZeCgoJ09uxZa9gCgPt15swZ5c+fX1u3buWXM5kMoQwAgAwSHR2tM2fOqGfPnsqRI0eKk4QAwH+JjY3VhQsX9O677+rUqVP666+/zC4J6YzbFwEAyCDz5s1TkSJFFBERYb1lGgDu119//aV8+fJp+/bt+vLLL80uBxmAK2UAAAAAYCKulAEAAACAiQhlAAAAAGAiQhkAAAAAmIhQBgAAAAAmIpQBAAAAgIkIZQAAAABgIkIZAOCJEBoaqn79+qlgwYJydnZWnjx51LRpU61atSrd9hEUFKT+/fun23j3smbNGlksFl27du2h7A8AkHEczC4AAICMdvLkSdWoUUM+Pj4aO3asSpcurdjYWC1btkyvvvqqDh48+NBqMQxD8fHxcnDgv2AAQCKulAEAMr0+ffrIYrFoy5Ytat26tQoXLqwSJUpowIAB2rRpkyTp9OnTat68uTw8POTl5aUXXnhBFy9etI4RHByssmXL6ptvvlH+/Pnl7e2tF198UdevX5ckde3aVSEhIfrss89ksVhksVh08uRJ6xWtZcuWqWLFinJ2dta6det07NgxNW/eXP7+/vLw8FClSpW0cuVKm7qjo6M1cOBA5cmTR87OzgoMDNRXX32lkydPqm7dupKkLFmyyGKxqGvXrg/nzQQApDtCGQAgU7ty5Yr++OMPvfrqq3J3d0+23sfHR4ZhqEWLFrpy5YpCQkK0YsUKHTt2TG3btrXpe+zYMS1atEi//vqrfv31V4WEhOijjz6SJH322WeqVq2aXn75ZV24cEEXLlxQnjx5rNsOHDhQo0eP1oEDB1S6dGnduHFDzz77rFauXKmdO3eqcePGatq0qU6fPm3dpnPnzpo/f74+//xzHThwQF9++aU8PDyUJ08e/fTTT5KkQ4cO6cKFC/rss88y4u0DADwE3DsBAMjUjh49KsMwVLRo0bv2Wblypfbs2aMTJ05Yg9Q333yjEiVKaOvWrapUqZIkKSEhQbNnz5anp6ckqVOnTlq1apVGjhwpb29vOTk5yc3NTQEBAcn2MXz4cDVs2NC67OfnpzJlyliXR4wYoZ9//lmLFy9W3759dfjwYS1YsEArVqxQgwYNJEkFCxa09vf19ZUkZc+eXT4+Pml8dwAAjwKulAEAMjXDMCRJFovlrn0OHDigPHny2FzZKl68uHx8fHTgwAFrW/78+a2BTJJy5MihS5cupaqOihUr2izfvHlTAwcOtO7Hw8NDBw8etF4p27Vrl+zt7VWnTp1UjQ8AeHwRygAAmVpgYKAsFotNuPo3wzBSDG3/bnd0dLRZb7FYlJCQkKo6/n3r5Ntvv62ffvpJI0eO1Lp167Rr1y6VKlVKMTExkiRXV9dUjQsAePwRygAAmZqvr68aN26syZMn6+bNm8nWX7t2TcWLF9fp06d15swZa/v+/fsVERGhYsWKpXpfTk5Oio+PT1XfdevWqWvXrmrZsqVKlSqlgIAAnTx50rq+VKlSSkhIUEhIyF33JSnV+wMAPLoIZQCATO+LL75QfHy8KleurJ9++klHjhzRgQMH9Pnnn6tatWpq8L927lil0SAMw+j74xWkEAsLE7EIElKktFCEiFU6qwQUAjbBTgvbXEHKXIMWkiJtIK0WIV6B6WOZfrfaBXdBcIv9l+WcemBguodvZtrtNJvN9Hq9LBaLvLy85PLyMicnJ79dO/xMtVrN8/NzVqtV3t/fP52iHRwc5OnpKcvlMq+vr+l2ux/WV6vVXF1dpd/vZzKZ5O3tLfP5PI+Pj0mSvb29FEWR6XSa9XqdzWbz5wcEQKlEGQD/vVqtlsVikdPT09ze3qbRaOTs7Cyz2Szj8ThFUWQymaRSqeT4+Djtdjv7+/t5eHj40j53d3fZ2trK4eFhtre3P/yk+KvRaJRKpZKjo6N0Op2cn5+n1Wp9WDMej3NxcZHBYJB6vZ7r6+uf077d3d0Mh8Pc399nZ2cnNzc3Xz8YAP4JxbcfL6ABAAD460zKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASiTKAAAASvQd94XsP9REArIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#4D3425','#E4512B']\n",
    "contract_churn = telecom_cust.groupby(['Contract','Churn']).size().unstack()\n",
    "\n",
    "ax = (contract_churn.T*100.0 / contract_churn.T.sum()).T.plot(kind='bar',\n",
    "                                                                width = 0.3,\n",
    "                                                                stacked = True,\n",
    "                                                                rot = 0, \n",
    "                                                                figsize = (10,6),\n",
    "                                                                color = colors)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.legend(loc='best',prop={'size':14},title = 'Churn')\n",
    "ax.set_ylabel('% Customers',size = 14)\n",
    "ax.set_title('Churn by Contract Type',size = 14)\n",
    "\n",
    "# Code to add the data labels on the stacked bar chart\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    ax.annotate('{:.0f}%'.format(height), (p.get_x()+.25*width, p.get_y()+.4*height),\n",
    "                color = 'white',\n",
    "               weight = 'bold',\n",
    "               size = 14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4f8dc7e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = ['#4D3425','#E4512B']\n",
    "seniority_churn = telecom_cust.groupby(['SeniorCitizen','Churn']).size().unstack()\n",
    "\n",
    "ax = (seniority_churn.T*100.0 / seniority_churn.T.sum()).T.plot(kind='bar',\n",
    "                                                                width = 0.2,\n",
    "                                                                stacked = True,\n",
    "                                                                rot = 0, \n",
    "                                                                figsize = (8,6),\n",
    "                                                                color = colors)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.legend(loc='center',prop={'size':14},title = 'Churn')\n",
    "ax.set_ylabel('% Customers')\n",
    "ax.set_title('Churn by Seniority Level',size = 14)\n",
    "\n",
    "# Code to add the data labels on the stacked bar chart\n",
    "for p in ax.patches:\n",
    "    width, height = p.get_width(), p.get_height()\n",
    "    x, y = p.get_xy() \n",
    "    ax.annotate('{:.0f}%'.format(height), (p.get_x()+.25*width, p.get_y()+.4*height),\n",
    "                color = 'white',\n",
    "               weight = 'bold',size =14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a03c359a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\2862132292.py:1: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  ax = sns.kdeplot(telecom_cust.MonthlyCharges[(telecom_cust[\"Churn\"] == 'No') ],\n",
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\2862132292.py:3: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  ax = sns.kdeplot(telecom_cust.MonthlyCharges[(telecom_cust[\"Churn\"] == 'Yes') ],\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of monthly charges by churn')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.kdeplot(telecom_cust.MonthlyCharges[(telecom_cust[\"Churn\"] == 'No') ],\n",
    "                color=\"Red\", shade = True)\n",
    "ax = sns.kdeplot(telecom_cust.MonthlyCharges[(telecom_cust[\"Churn\"] == 'Yes') ],\n",
    "                ax =ax, color=\"Blue\", shade= True)\n",
    "ax.legend([\"Not Churn\",\"Churn\"],loc='upper right')\n",
    "ax.set_ylabel('Density')\n",
    "ax.set_xlabel('Monthly Charges')\n",
    "ax.set_title('Distribution of monthly charges by churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7d4ee8a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\3097405637.py:1: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  ax = sns.kdeplot(telecom_cust.TotalCharges[(telecom_cust[\"Churn\"] == 'No') ],\n",
      "C:\\Users\\anuja\\AppData\\Local\\Temp\\ipykernel_25692\\3097405637.py:3: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  ax = sns.kdeplot(telecom_cust.TotalCharges[(telecom_cust[\"Churn\"] == 'Yes') ],\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of total charges by churn')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.kdeplot(telecom_cust.TotalCharges[(telecom_cust[\"Churn\"] == 'No') ],\n",
    "                color=\"Red\", shade = True)\n",
    "ax = sns.kdeplot(telecom_cust.TotalCharges[(telecom_cust[\"Churn\"] == 'Yes') ],\n",
    "                ax =ax, color=\"Blue\", shade= True)\n",
    "ax.legend([\"Not Churn\",\"Churn\"],loc='upper right')\n",
    "ax.set_ylabel('Density')\n",
    "ax.set_xlabel('Total Charges')\n",
    "ax.set_title('Distribution of total charges by churn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8ff626e9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.11.5"
  }
 },
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