Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "65602c9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1a78e333",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>gender</th>\n",
       "      <th>is_senior_citizen</th>\n",
       "      <th>partner</th>\n",
       "      <th>dependents</th>\n",
       "      <th>phone_service</th>\n",
       "      <th>internet_service</th>\n",
       "      <th>contract_type</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>monthly_charges</th>\n",
       "      <th>total_charges</th>\n",
       "      <th>churn</th>\n",
       "      <th>tenure</th>\n",
       "      <th>is_female</th>\n",
       "      <th>has_churned</th>\n",
       "      <th>has_phone</th>\n",
       "      <th>has_internet</th>\n",
       "      <th>has_both_services</th>\n",
       "      <th>partner_dependents</th>\n",
       "      <th>calculate_monthly Charges</th>\n",
       "      <th>Phone serive type</th>\n",
       "      <th>internet service</th>\n",
       "      <th>contract type</th>\n",
       "      <th>Round_tenure</th>\n",
       "      <th>Service_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0002-ORFBO</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>65.6</td>\n",
       "      <td>593.30</td>\n",
       "      <td>No</td>\n",
       "      <td>9.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>65.6</td>\n",
       "      <td>One Line</td>\n",
       "      <td>DSL</td>\n",
       "      <td>1 Year</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0003-MKNFE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>59.9</td>\n",
       "      <td>542.40</td>\n",
       "      <td>No</td>\n",
       "      <td>9.1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>59.9</td>\n",
       "      <td>Two or More Lines</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0004-TLHLJ</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>73.9</td>\n",
       "      <td>280.85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.8</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>73.9</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber Optic</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0011-IGKFF</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1237.85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>12.6</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>98</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber Optic</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0013-EXCHZ</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>83.9</td>\n",
       "      <td>267.40</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.2</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>83.9</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber Optic</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  customer_id  gender  is_senior_citizen partner dependents  phone_service  \\\n",
       "0  0002-ORFBO  Female                  0     Yes        Yes              1   \n",
       "1  0003-MKNFE    Male                  0      No         No              2   \n",
       "2  0004-TLHLJ    Male                  0      No         No              1   \n",
       "3  0011-IGKFF    Male                  1     Yes         No              1   \n",
       "4  0013-EXCHZ  Female                  1     Yes         No              1   \n",
       "\n",
       "   internet_service  contract_type      payment_type  monthly_charges  \\\n",
       "0                 1              1      Mailed check             65.6   \n",
       "1                 1              0      Mailed check             59.9   \n",
       "2                 2              0  Electronic check             73.9   \n",
       "3                 2              0  Electronic check             98.0   \n",
       "4                 2              0      Mailed check             83.9   \n",
       "\n",
       "   total_charges churn  tenure  is_female  has_churned  has_phone  \\\n",
       "0         593.30    No     9.0       True        False       True   \n",
       "1         542.40    No     9.1      False        False       True   \n",
       "2         280.85   Yes     3.8      False         True       True   \n",
       "3        1237.85   Yes    12.6      False         True       True   \n",
       "4         267.40   Yes     3.2       True         True       True   \n",
       "\n",
       "   has_internet  has_both_services  partner_dependents  \\\n",
       "0          True               True                   3   \n",
       "1          True               True                   0   \n",
       "2          True               True                   0   \n",
       "3          True               True                   1   \n",
       "4          True               True                   1   \n",
       "\n",
       "  calculate_monthly Charges  Phone serive type internet service  \\\n",
       "0                      65.6           One Line              DSL   \n",
       "1                      59.9  Two or More Lines              DSL   \n",
       "2                      73.9           One Line      Fiber Optic   \n",
       "3                        98           One Line      Fiber Optic   \n",
       "4                      83.9           One Line      Fiber Optic   \n",
       "\n",
       "    contract type  Round_tenure    Service_type  \n",
       "0          1 Year           9.0  Internet+Phone  \n",
       "1  Month-to-Month           9.0  Internet+Phone  \n",
       "2  Month-to-Month           4.0  Internet+Phone  \n",
       "3  Month-to-Month          13.0  Internet+Phone  \n",
       "4  Month-to-Month           3.0  Internet+Phone  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Jarrid_Jones_ Kalpana_spreadsheet_exercises - Copy of Table1_CustDetails.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "aa4400b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d05603a2",
   "metadata": {},
   "source": [
    "Step 1: Understand your data?\n",
    "    Data format?\n",
    "    Missing data?\n",
    "    Outliers?\n",
    "Step 2: What is my aim?\n",
    "    Discover drivers of Churn?\n",
    "    Why do we care about the Churn?\n",
    "Step 3: What is my initial hypothesis (gut feel/domain knowlege/literature survey)\n",
    "    Higher monthly charges leads to higher churn?\n",
    "    Non-senior citizens churn at higher rate\n",
    "    More the services, less the churn?\n",
    "\n",
    "Exploratory question(s)?\n",
    "\n",
    "How is churn differnt by service type?\n",
    "How is churn different by Contract type?\n",
    "How is churn different by payment type?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "18437321",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7049 entries, 0 to 7048\n",
      "Data columns (total 25 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   customer_id                7049 non-null   object \n",
      " 1   gender                     7049 non-null   object \n",
      " 2   is_senior_citizen          7049 non-null   int64  \n",
      " 3   partner                    7049 non-null   object \n",
      " 4   dependents                 7049 non-null   object \n",
      " 5   phone_service              7049 non-null   int64  \n",
      " 6   internet_service           7049 non-null   int64  \n",
      " 7   contract_type              7049 non-null   int64  \n",
      " 8   payment_type               7049 non-null   object \n",
      " 9   monthly_charges            7049 non-null   float64\n",
      " 10  total_charges              7038 non-null   float64\n",
      " 11  churn                      7049 non-null   object \n",
      " 12  tenure                     7049 non-null   float64\n",
      " 13  is_female                  7049 non-null   bool   \n",
      " 14  has_churned                7049 non-null   bool   \n",
      " 15  has_phone                  7049 non-null   bool   \n",
      " 16  has_internet               7049 non-null   bool   \n",
      " 17  has_both_services          7049 non-null   bool   \n",
      " 18  partner_dependents         7049 non-null   int64  \n",
      " 19  calculate_monthly Charges  7049 non-null   object \n",
      " 20  Phone serive type          7049 non-null   object \n",
      " 21  internet service           7049 non-null   object \n",
      " 22  contract type              7049 non-null   object \n",
      " 23  Round_tenure               7049 non-null   float64\n",
      " 24  Service_type               7049 non-null   object \n",
      "dtypes: bool(5), float64(4), int64(5), object(11)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "# reviewing data with the table to decide which information to utilize.\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b18d86a",
   "metadata": {},
   "source": [
    "Noticed total_charges field has null values(qty 11). Remove null values from data set due to minor amount. Drop values equate to less than 0.002% of overall data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c6919b1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 7038 entries, 0 to 7048\n",
      "Data columns (total 25 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   customer_id                7038 non-null   object \n",
      " 1   gender                     7038 non-null   object \n",
      " 2   is_senior_citizen          7038 non-null   int64  \n",
      " 3   partner                    7038 non-null   object \n",
      " 4   dependents                 7038 non-null   object \n",
      " 5   phone_service              7038 non-null   int64  \n",
      " 6   internet_service           7038 non-null   int64  \n",
      " 7   contract_type              7038 non-null   int64  \n",
      " 8   payment_type               7038 non-null   object \n",
      " 9   monthly_charges            7038 non-null   float64\n",
      " 10  total_charges              7038 non-null   float64\n",
      " 11  churn                      7038 non-null   object \n",
      " 12  tenure                     7038 non-null   float64\n",
      " 13  is_female                  7038 non-null   bool   \n",
      " 14  has_churned                7038 non-null   bool   \n",
      " 15  has_phone                  7038 non-null   bool   \n",
      " 16  has_internet               7038 non-null   bool   \n",
      " 17  has_both_services          7038 non-null   bool   \n",
      " 18  partner_dependents         7038 non-null   int64  \n",
      " 19  calculate_monthly Charges  7038 non-null   object \n",
      " 20  Phone serive type          7038 non-null   object \n",
      " 21  internet service           7038 non-null   object \n",
      " 22  contract type              7038 non-null   object \n",
      " 23  Round_tenure               7038 non-null   float64\n",
      " 24  Service_type               7038 non-null   object \n",
      "dtypes: bool(5), float64(4), int64(5), object(11)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df = df.dropna()\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "23b1022a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['internet_service'] = df.internet_service.replace([0,1,2], ['No_internet', 'DSL', 'Fiber'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "98c688b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['phone_service'] = df.phone_service.replace([0,1,2], ['No_phone', 'One Line', 'Two or more lines'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "262c2e8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['contract_type'] = df.contract_type.replace([0,1,2], ['Month-to-Month', '1 Year', 'Two Year'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "040d57d0",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>gender</th>\n",
       "      <th>is_senior_citizen</th>\n",
       "      <th>partner</th>\n",
       "      <th>dependents</th>\n",
       "      <th>phone_service</th>\n",
       "      <th>internet_service</th>\n",
       "      <th>contract_type</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>monthly_charges</th>\n",
       "      <th>total_charges</th>\n",
       "      <th>churn</th>\n",
       "      <th>tenure</th>\n",
       "      <th>is_female</th>\n",
       "      <th>has_churned</th>\n",
       "      <th>has_phone</th>\n",
       "      <th>has_internet</th>\n",
       "      <th>has_both_services</th>\n",
       "      <th>partner_dependents</th>\n",
       "      <th>calculate_monthly Charges</th>\n",
       "      <th>Phone serive type</th>\n",
       "      <th>internet service</th>\n",
       "      <th>contract type</th>\n",
       "      <th>Round_tenure</th>\n",
       "      <th>Service_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0002-ORFBO</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One Line</td>\n",
       "      <td>DSL</td>\n",
       "      <td>1 Year</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>65.6</td>\n",
       "      <td>593.30</td>\n",
       "      <td>No</td>\n",
       "      <td>9.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>65.6</td>\n",
       "      <td>One Line</td>\n",
       "      <td>DSL</td>\n",
       "      <td>1 Year</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0003-MKNFE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Two or more lines</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>59.9</td>\n",
       "      <td>542.40</td>\n",
       "      <td>No</td>\n",
       "      <td>9.1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>59.9</td>\n",
       "      <td>Two or More Lines</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0004-TLHLJ</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>73.9</td>\n",
       "      <td>280.85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.8</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>73.9</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber Optic</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0011-IGKFF</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1237.85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>12.6</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>98</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber Optic</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0013-EXCHZ</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>83.9</td>\n",
       "      <td>267.40</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.2</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>83.9</td>\n",
       "      <td>One Line</td>\n",
       "      <td>Fiber Optic</td>\n",
       "      <td>Month-to-Month</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Internet+Phone</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  customer_id  gender  is_senior_citizen partner dependents  \\\n",
       "0  0002-ORFBO  Female                  0     Yes        Yes   \n",
       "1  0003-MKNFE    Male                  0      No         No   \n",
       "2  0004-TLHLJ    Male                  0      No         No   \n",
       "3  0011-IGKFF    Male                  1     Yes         No   \n",
       "4  0013-EXCHZ  Female                  1     Yes         No   \n",
       "\n",
       "       phone_service internet_service   contract_type      payment_type  \\\n",
       "0           One Line              DSL          1 Year      Mailed check   \n",
       "1  Two or more lines              DSL  Month-to-Month      Mailed check   \n",
       "2           One Line            Fiber  Month-to-Month  Electronic check   \n",
       "3           One Line            Fiber  Month-to-Month  Electronic check   \n",
       "4           One Line            Fiber  Month-to-Month      Mailed check   \n",
       "\n",
       "   monthly_charges  total_charges churn  tenure  is_female  has_churned  \\\n",
       "0             65.6         593.30    No     9.0       True        False   \n",
       "1             59.9         542.40    No     9.1      False        False   \n",
       "2             73.9         280.85   Yes     3.8      False         True   \n",
       "3             98.0        1237.85   Yes    12.6      False         True   \n",
       "4             83.9         267.40   Yes     3.2       True         True   \n",
       "\n",
       "   has_phone  has_internet  has_both_services  partner_dependents  \\\n",
       "0       True          True               True                   3   \n",
       "1       True          True               True                   0   \n",
       "2       True          True               True                   0   \n",
       "3       True          True               True                   1   \n",
       "4       True          True               True                   1   \n",
       "\n",
       "  calculate_monthly Charges  Phone serive type internet service  \\\n",
       "0                      65.6           One Line              DSL   \n",
       "1                      59.9  Two or More Lines              DSL   \n",
       "2                      73.9           One Line      Fiber Optic   \n",
       "3                        98           One Line      Fiber Optic   \n",
       "4                      83.9           One Line      Fiber Optic   \n",
       "\n",
       "    contract type  Round_tenure    Service_type  \n",
       "0          1 Year           9.0  Internet+Phone  \n",
       "1  Month-to-Month           9.0  Internet+Phone  \n",
       "2  Month-to-Month           4.0  Internet+Phone  \n",
       "3  Month-to-Month          13.0  Internet+Phone  \n",
       "4  Month-to-Month           3.0  Internet+Phone  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e4e0873c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f9485ea0520>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 592x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df[['monthly_charges', 'total_charges', 'tenure', 'churn' ]], hue = 'churn')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b1640f3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(churn         No       Yes\n",
       " gender                    \n",
       " Female  0.730350  0.269650\n",
       " Male    0.738176  0.261824,\n",
       " churn     No  Yes\n",
       " gender           \n",
       " Female  2546  940\n",
       " Male    2622  930)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Churn data by gender\n",
    "pd.crosstab(df.gender, df.churn, normalize = 'index'), pd.crosstab(df.gender, df.churn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ba2664c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(churn                 No       Yes\n",
       " Service_type                      \n",
       " Internet+Phone  0.671907  0.328093\n",
       " Phone Only      0.925804  0.074196\n",
       " internet Only   0.748899  0.251101,\n",
       " churn             No   Yes\n",
       " Service_type              \n",
       " Internet+Phone  3248  1586\n",
       " Phone Only      1410   113\n",
       " internet Only    510   171)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Churn info by service package\n",
    "pd.crosstab(df.Service_type, df.churn, normalize = 'index'), pd.crosstab(df.Service_type, df.churn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "099a4794",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(churn                No       Yes\n",
       " contract_type                    \n",
       " 0              0.572755  0.427245\n",
       " 1              0.887458  0.112542\n",
       " 2              0.971547  0.028453,\n",
       " churn            No   Yes\n",
       " contract_type            \n",
       " 0              2220  1656\n",
       " 1              1309   166\n",
       " 2              1639    48)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Churn data by contract type\n",
    "pd.crosstab(df.contract_type, df.churn, normalize = 'index'), pd.crosstab(df.contract_type, df.churn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "33bcdac4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>churn</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Round_tenure</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>234</td>\n",
       "      <td>384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>111</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>112</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>86</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>85</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>63</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>74</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>76</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>85</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>61</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>76</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>74</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.0</th>\n",
       "      <td>74</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.0</th>\n",
       "      <td>61</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.0</th>\n",
       "      <td>48</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.0</th>\n",
       "      <td>57</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.0</th>\n",
       "      <td>67</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.0</th>\n",
       "      <td>63</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.0</th>\n",
       "      <td>50</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.0</th>\n",
       "      <td>42</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>73</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.0</th>\n",
       "      <td>61</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>69</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.0</th>\n",
       "      <td>64</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.0</th>\n",
       "      <td>65</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.0</th>\n",
       "      <td>57</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.0</th>\n",
       "      <td>59</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.0</th>\n",
       "      <td>60</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.0</th>\n",
       "      <td>54</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.0</th>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>54</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>45</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.0</th>\n",
       "      <td>58</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.0</th>\n",
       "      <td>60</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.0</th>\n",
       "      <td>53</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.0</th>\n",
       "      <td>51</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>48</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.0</th>\n",
       "      <td>48</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.0</th>\n",
       "      <td>36</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.0</th>\n",
       "      <td>52</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>54</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>48</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>52</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.0</th>\n",
       "      <td>52</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45.0</th>\n",
       "      <td>48</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46.0</th>\n",
       "      <td>65</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47.0</th>\n",
       "      <td>56</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48.0</th>\n",
       "      <td>53</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49.0</th>\n",
       "      <td>46</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50.0</th>\n",
       "      <td>57</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51.0</th>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52.0</th>\n",
       "      <td>72</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53.0</th>\n",
       "      <td>49</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54.0</th>\n",
       "      <td>67</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>61</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56.0</th>\n",
       "      <td>52</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57.0</th>\n",
       "      <td>61</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58.0</th>\n",
       "      <td>51</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59.0</th>\n",
       "      <td>58</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60.0</th>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61.0</th>\n",
       "      <td>68</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62.0</th>\n",
       "      <td>54</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63.0</th>\n",
       "      <td>82</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64.0</th>\n",
       "      <td>78</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65.0</th>\n",
       "      <td>65</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66.0</th>\n",
       "      <td>77</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67.0</th>\n",
       "      <td>83</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68.0</th>\n",
       "      <td>88</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69.0</th>\n",
       "      <td>91</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70.0</th>\n",
       "      <td>142</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71.0</th>\n",
       "      <td>172</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72.0</th>\n",
       "      <td>141</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73.0</th>\n",
       "      <td>103</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74.0</th>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75.0</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76.0</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77.0</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79.0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "churn          No  Yes\n",
       "Round_tenure          \n",
       "1.0           234  384\n",
       "2.0           111  121\n",
       "3.0           112   92\n",
       "4.0            86   85\n",
       "5.0            85   62\n",
       "6.0            63   39\n",
       "7.0            74   53\n",
       "8.0            76   44\n",
       "9.0            85   45\n",
       "10.0           61   34\n",
       "11.0           76   49\n",
       "12.0           74   33\n",
       "13.0           74   37\n",
       "14.0           61   27\n",
       "15.0           48   29\n",
       "16.0           57   33\n",
       "17.0           67   30\n",
       "18.0           63   21\n",
       "19.0           50   19\n",
       "20.0           42   14\n",
       "21.0           73   25\n",
       "22.0           61   22\n",
       "23.0           69   15\n",
       "24.0           64   23\n",
       "25.0           65   15\n",
       "26.0           57   19\n",
       "27.0           59   11\n",
       "28.0           60   15\n",
       "29.0           54   10\n",
       "30.0           46   23\n",
       "31.0           54   18\n",
       "32.0           45   13\n",
       "33.0           58   19\n",
       "34.0           60   11\n",
       "35.0           53   10\n",
       "36.0           51   16\n",
       "37.0           48    8\n",
       "38.0           48   18\n",
       "39.0           36   15\n",
       "40.0           52    7\n",
       "41.0           54   12\n",
       "42.0           48   14\n",
       "43.0           52   14\n",
       "44.0           52    9\n",
       "45.0           48   10\n",
       "46.0           65   11\n",
       "47.0           56   10\n",
       "48.0           53   12\n",
       "49.0           46   18\n",
       "50.0           57    9\n",
       "51.0           68    8\n",
       "52.0           72    8\n",
       "53.0           49   15\n",
       "54.0           67   15\n",
       "55.0           61    7\n",
       "56.0           52    6\n",
       "57.0           61   12\n",
       "58.0           51    5\n",
       "59.0           58   10\n",
       "60.0           80   10\n",
       "61.0           68    5\n",
       "62.0           54    4\n",
       "63.0           82    3\n",
       "64.0           78   11\n",
       "65.0           65    6\n",
       "66.0           77   10\n",
       "67.0           83    7\n",
       "68.0           88   11\n",
       "69.0           91   11\n",
       "70.0          142   11\n",
       "71.0          172    3\n",
       "72.0          141    3\n",
       "73.0          103    3\n",
       "74.0           38    3\n",
       "75.0           15    0\n",
       "76.0            3    0\n",
       "77.0            5    0\n",
       "79.0            1    0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Churn data by rounded tenure\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "rounded_tenure_churn = pd.crosstab(df.Round_tenure, df.churn, )\n",
    "rounded_tenure_churn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "87650a3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>churn</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Round_tenure</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>0.033248</td>\n",
       "      <td>0.054561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>0.015772</td>\n",
       "      <td>0.017192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>0.015914</td>\n",
       "      <td>0.013072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>0.012219</td>\n",
       "      <td>0.012077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>0.012077</td>\n",
       "      <td>0.008809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>0.008951</td>\n",
       "      <td>0.005541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>0.010514</td>\n",
       "      <td>0.007531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.006252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>0.012077</td>\n",
       "      <td>0.006394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>0.008667</td>\n",
       "      <td>0.004831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.006962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>0.010514</td>\n",
       "      <td>0.004689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.0</th>\n",
       "      <td>0.010514</td>\n",
       "      <td>0.005257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.0</th>\n",
       "      <td>0.008667</td>\n",
       "      <td>0.003836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.0</th>\n",
       "      <td>0.006820</td>\n",
       "      <td>0.004120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.0</th>\n",
       "      <td>0.008099</td>\n",
       "      <td>0.004689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.0</th>\n",
       "      <td>0.009520</td>\n",
       "      <td>0.004263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.0</th>\n",
       "      <td>0.008951</td>\n",
       "      <td>0.002984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.0</th>\n",
       "      <td>0.007104</td>\n",
       "      <td>0.002700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.0</th>\n",
       "      <td>0.005968</td>\n",
       "      <td>0.001989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>0.010372</td>\n",
       "      <td>0.003552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.0</th>\n",
       "      <td>0.008667</td>\n",
       "      <td>0.003126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>0.009804</td>\n",
       "      <td>0.002131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.0</th>\n",
       "      <td>0.009093</td>\n",
       "      <td>0.003268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.0</th>\n",
       "      <td>0.009236</td>\n",
       "      <td>0.002131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.0</th>\n",
       "      <td>0.008099</td>\n",
       "      <td>0.002700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.0</th>\n",
       "      <td>0.008383</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.0</th>\n",
       "      <td>0.008525</td>\n",
       "      <td>0.002131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29.0</th>\n",
       "      <td>0.007673</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.0</th>\n",
       "      <td>0.006536</td>\n",
       "      <td>0.003268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31.0</th>\n",
       "      <td>0.007673</td>\n",
       "      <td>0.002558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32.0</th>\n",
       "      <td>0.006394</td>\n",
       "      <td>0.001847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.0</th>\n",
       "      <td>0.008241</td>\n",
       "      <td>0.002700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34.0</th>\n",
       "      <td>0.008525</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.0</th>\n",
       "      <td>0.007531</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36.0</th>\n",
       "      <td>0.007246</td>\n",
       "      <td>0.002273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37.0</th>\n",
       "      <td>0.006820</td>\n",
       "      <td>0.001137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38.0</th>\n",
       "      <td>0.006820</td>\n",
       "      <td>0.002558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39.0</th>\n",
       "      <td>0.005115</td>\n",
       "      <td>0.002131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40.0</th>\n",
       "      <td>0.007388</td>\n",
       "      <td>0.000995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41.0</th>\n",
       "      <td>0.007673</td>\n",
       "      <td>0.001705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>0.006820</td>\n",
       "      <td>0.001989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.0</th>\n",
       "      <td>0.007388</td>\n",
       "      <td>0.001989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44.0</th>\n",
       "      <td>0.007388</td>\n",
       "      <td>0.001279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45.0</th>\n",
       "      <td>0.006820</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46.0</th>\n",
       "      <td>0.009236</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47.0</th>\n",
       "      <td>0.007957</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48.0</th>\n",
       "      <td>0.007531</td>\n",
       "      <td>0.001705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49.0</th>\n",
       "      <td>0.006536</td>\n",
       "      <td>0.002558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50.0</th>\n",
       "      <td>0.008099</td>\n",
       "      <td>0.001279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51.0</th>\n",
       "      <td>0.009662</td>\n",
       "      <td>0.001137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52.0</th>\n",
       "      <td>0.010230</td>\n",
       "      <td>0.001137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53.0</th>\n",
       "      <td>0.006962</td>\n",
       "      <td>0.002131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54.0</th>\n",
       "      <td>0.009520</td>\n",
       "      <td>0.002131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55.0</th>\n",
       "      <td>0.008667</td>\n",
       "      <td>0.000995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56.0</th>\n",
       "      <td>0.007388</td>\n",
       "      <td>0.000853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57.0</th>\n",
       "      <td>0.008667</td>\n",
       "      <td>0.001705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58.0</th>\n",
       "      <td>0.007246</td>\n",
       "      <td>0.000710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59.0</th>\n",
       "      <td>0.008241</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60.0</th>\n",
       "      <td>0.011367</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61.0</th>\n",
       "      <td>0.009662</td>\n",
       "      <td>0.000710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62.0</th>\n",
       "      <td>0.007673</td>\n",
       "      <td>0.000568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63.0</th>\n",
       "      <td>0.011651</td>\n",
       "      <td>0.000426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64.0</th>\n",
       "      <td>0.011083</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65.0</th>\n",
       "      <td>0.009236</td>\n",
       "      <td>0.000853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66.0</th>\n",
       "      <td>0.010941</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67.0</th>\n",
       "      <td>0.011793</td>\n",
       "      <td>0.000995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68.0</th>\n",
       "      <td>0.012504</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69.0</th>\n",
       "      <td>0.012930</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70.0</th>\n",
       "      <td>0.020176</td>\n",
       "      <td>0.001563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71.0</th>\n",
       "      <td>0.024439</td>\n",
       "      <td>0.000426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72.0</th>\n",
       "      <td>0.020034</td>\n",
       "      <td>0.000426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73.0</th>\n",
       "      <td>0.014635</td>\n",
       "      <td>0.000426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74.0</th>\n",
       "      <td>0.005399</td>\n",
       "      <td>0.000426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75.0</th>\n",
       "      <td>0.002131</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76.0</th>\n",
       "      <td>0.000426</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77.0</th>\n",
       "      <td>0.000710</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79.0</th>\n",
       "      <td>0.000142</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "churn               No       Yes\n",
       "Round_tenure                    \n",
       "1.0           0.033248  0.054561\n",
       "2.0           0.015772  0.017192\n",
       "3.0           0.015914  0.013072\n",
       "4.0           0.012219  0.012077\n",
       "5.0           0.012077  0.008809\n",
       "6.0           0.008951  0.005541\n",
       "7.0           0.010514  0.007531\n",
       "8.0           0.010799  0.006252\n",
       "9.0           0.012077  0.006394\n",
       "10.0          0.008667  0.004831\n",
       "11.0          0.010799  0.006962\n",
       "12.0          0.010514  0.004689\n",
       "13.0          0.010514  0.005257\n",
       "14.0          0.008667  0.003836\n",
       "15.0          0.006820  0.004120\n",
       "16.0          0.008099  0.004689\n",
       "17.0          0.009520  0.004263\n",
       "18.0          0.008951  0.002984\n",
       "19.0          0.007104  0.002700\n",
       "20.0          0.005968  0.001989\n",
       "21.0          0.010372  0.003552\n",
       "22.0          0.008667  0.003126\n",
       "23.0          0.009804  0.002131\n",
       "24.0          0.009093  0.003268\n",
       "25.0          0.009236  0.002131\n",
       "26.0          0.008099  0.002700\n",
       "27.0          0.008383  0.001563\n",
       "28.0          0.008525  0.002131\n",
       "29.0          0.007673  0.001421\n",
       "30.0          0.006536  0.003268\n",
       "31.0          0.007673  0.002558\n",
       "32.0          0.006394  0.001847\n",
       "33.0          0.008241  0.002700\n",
       "34.0          0.008525  0.001563\n",
       "35.0          0.007531  0.001421\n",
       "36.0          0.007246  0.002273\n",
       "37.0          0.006820  0.001137\n",
       "38.0          0.006820  0.002558\n",
       "39.0          0.005115  0.002131\n",
       "40.0          0.007388  0.000995\n",
       "41.0          0.007673  0.001705\n",
       "42.0          0.006820  0.001989\n",
       "43.0          0.007388  0.001989\n",
       "44.0          0.007388  0.001279\n",
       "45.0          0.006820  0.001421\n",
       "46.0          0.009236  0.001563\n",
       "47.0          0.007957  0.001421\n",
       "48.0          0.007531  0.001705\n",
       "49.0          0.006536  0.002558\n",
       "50.0          0.008099  0.001279\n",
       "51.0          0.009662  0.001137\n",
       "52.0          0.010230  0.001137\n",
       "53.0          0.006962  0.002131\n",
       "54.0          0.009520  0.002131\n",
       "55.0          0.008667  0.000995\n",
       "56.0          0.007388  0.000853\n",
       "57.0          0.008667  0.001705\n",
       "58.0          0.007246  0.000710\n",
       "59.0          0.008241  0.001421\n",
       "60.0          0.011367  0.001421\n",
       "61.0          0.009662  0.000710\n",
       "62.0          0.007673  0.000568\n",
       "63.0          0.011651  0.000426\n",
       "64.0          0.011083  0.001563\n",
       "65.0          0.009236  0.000853\n",
       "66.0          0.010941  0.001421\n",
       "67.0          0.011793  0.000995\n",
       "68.0          0.012504  0.001563\n",
       "69.0          0.012930  0.001563\n",
       "70.0          0.020176  0.001563\n",
       "71.0          0.024439  0.000426\n",
       "72.0          0.020034  0.000426\n",
       "73.0          0.014635  0.000426\n",
       "74.0          0.005399  0.000426\n",
       "75.0          0.002131  0.000000\n",
       "76.0          0.000426  0.000000\n",
       "77.0          0.000710  0.000000\n",
       "79.0          0.000142  0.000000"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(df.Round_tenure, df.churn, normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b942ded3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Month'>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rounded_tenure_churn.plot(kind = 'area', xlabel='Month', stacked=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0d78830c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(df.Round_tenure, df.churn, normalize=True).plot(kind = 'area', xlabel='Month', ylabel='Likelihood %')\n",
    "plt.gca().yaxis.set_major_formatter('{:0%}'.format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b5a30731",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Contract Type', ylabel='Likelihood %'>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(df.contract_type, df.churn, normalize=True).plot(kind = 'bar', stacked=True, xlabel='Contract Type', ylabel='Likelihood %')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "5dfbb7d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='monthly_charges'>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(df.monthly_charges, df.contract_type).plot(kind='area')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a161cd5",
   "metadata": {},
   "source": [
    "pd.set_option('display.max_rows', None)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.12 ('base')",
   "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": "3.9.12"
  },
  "vscode": {
   "interpreter": {
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