Comcast_telecom.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "19a43b64",
   "metadata": {},
   "source": [
    "# COMCAST TELECOMMUNICATION"
   ]
  },
  {
   "attachments": {
    "images-4.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "id": "70b0a21f",
   "metadata": {},
   "source": [
    "![images-4.png](attachment:images-4.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c91ace53",
   "metadata": {},
   "source": [
    "###### DESCRIPTION :\n",
    "Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Only last month (October 2016) the authority fined them a $2.3 million, after receiving over 1000 consumer complaints.\n",
    "The existing database will serve as a repository of public customer complaints filed against Comcast.\n",
    "It will help to pin down what is wrong with Comcast's customer service.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d271516",
   "metadata": {},
   "source": [
    "###### Data Dictionary\n",
    "* Ticket #: Ticket number assigned to each complaint\n",
    "* Customer Complaint: Description of complaint\n",
    "* Date: Date of complaint\n",
    "* Time: Time of complaint\n",
    "* Received Via: Mode of communication of the complaint\n",
    "* City: Customer city\n",
    "* State: Customer state\n",
    "* Zipcode: Customer zip\n",
    "* Status: Status of complaint\n",
    "* Filing on behalf of someone\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d95e847",
   "metadata": {},
   "source": [
    "###### Analysis Task :\n",
    "1.Provide the trend chart for the number of complaints at monthly and daily granularity levels.<br> \n",
    "2.Provide a table with the frequency of complaint types.<br> \n",
    "3.Which complaint types are maximum i.e., around internet, network issues, or across any other domains.<br> \n",
    "4.Create a new categorical variable with value as Open and Closed. Open & Pending is to be categorized as Open and Closed & Solved is to be categorized as Closed.<br> \n",
    "5.Provide state wise status of complaints in a stacked bar chart. Use the categorized variable from Q3. Provide insights on:\n",
    "6.Which state has the maximum complaints<br> \n",
    "7.Which state has the highest percentage of unresolved complaints<br> \n",
    "8.Provide the percentage of complaints resolved till date, which were received through the Internet and customer care calls."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "026edb4b",
   "metadata": {},
   "source": [
    "### Importing the Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f49023d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing Python library for reading, writing, and perform basic operations\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Importing library for visualization\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d36128fa",
   "metadata": {},
   "source": [
    "### Reading the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1d52d895",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('C:/Users/Administrator/Desktop/telecom_complaints_data/comcast_telecom_complaints.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2995fd4f",
   "metadata": {
    "scrolled": true
   },
   "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></th>\n",
       "      <th>Ticket #</th>\n",
       "      <th>Customer Complaint</th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_month_year</th>\n",
       "      <th>Time</th>\n",
       "      <th>Received Via</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip code</th>\n",
       "      <th>Status</th>\n",
       "      <th>Filing on Behalf of Someone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>250635</td>\n",
       "      <td>Comcast Cable Internet Speeds</td>\n",
       "      <td>22-04-15</td>\n",
       "      <td>22-Apr-15</td>\n",
       "      <td>3:53:50 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Abingdon</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>21009</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>223441</td>\n",
       "      <td>Payment disappear - service got disconnected</td>\n",
       "      <td>04-08-15</td>\n",
       "      <td>04-Aug-15</td>\n",
       "      <td>10:22:56 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30102</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>242732</td>\n",
       "      <td>Speed and Service</td>\n",
       "      <td>18-04-15</td>\n",
       "      <td>18-Apr-15</td>\n",
       "      <td>9:55:47 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Closed</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>277946</td>\n",
       "      <td>Comcast Imposed a New Usage Cap of 300GB that ...</td>\n",
       "      <td>05-07-15</td>\n",
       "      <td>05-Jul-15</td>\n",
       "      <td>11:59:35 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Open</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>307175</td>\n",
       "      <td>Comcast not working and no service to boot</td>\n",
       "      <td>26-05-15</td>\n",
       "      <td>26-May-15</td>\n",
       "      <td>1:25:26 PM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Ticket #                                 Customer Complaint      Date  \\\n",
       "0   250635                      Comcast Cable Internet Speeds  22-04-15   \n",
       "1   223441       Payment disappear - service got disconnected  04-08-15   \n",
       "2   242732                                  Speed and Service  18-04-15   \n",
       "3   277946  Comcast Imposed a New Usage Cap of 300GB that ...  05-07-15   \n",
       "4   307175         Comcast not working and no service to boot  26-05-15   \n",
       "\n",
       "  Date_month_year         Time        Received Via      City     State  \\\n",
       "0       22-Apr-15   3:53:50 PM  Customer Care Call  Abingdon  Maryland   \n",
       "1       04-Aug-15  10:22:56 AM            Internet   Acworth   Georgia   \n",
       "2       18-Apr-15   9:55:47 AM            Internet   Acworth   Georgia   \n",
       "3       05-Jul-15  11:59:35 AM            Internet   Acworth   Georgia   \n",
       "4       26-May-15   1:25:26 PM            Internet   Acworth   Georgia   \n",
       "\n",
       "   Zip code  Status Filing on Behalf of Someone  \n",
       "0     21009  Closed                          No  \n",
       "1     30102  Closed                          No  \n",
       "2     30101  Closed                         Yes  \n",
       "3     30101    Open                         Yes  \n",
       "4     30101  Solved                          No  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "776c7f2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2224, 11)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking the shape of a dataset\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1575afff",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2224 entries, 0 to 2223\n",
      "Data columns (total 11 columns):\n",
      " #   Column                       Non-Null Count  Dtype \n",
      "---  ------                       --------------  ----- \n",
      " 0   Ticket #                     2224 non-null   object\n",
      " 1   Customer Complaint           2224 non-null   object\n",
      " 2   Date                         2224 non-null   object\n",
      " 3   Date_month_year              2224 non-null   object\n",
      " 4   Time                         2224 non-null   object\n",
      " 5   Received Via                 2224 non-null   object\n",
      " 6   City                         2224 non-null   object\n",
      " 7   State                        2224 non-null   object\n",
      " 8   Zip code                     2224 non-null   int64 \n",
      " 9   Status                       2224 non-null   object\n",
      " 10  Filing on Behalf of Someone  2224 non-null   object\n",
      "dtypes: int64(1), object(10)\n",
      "memory usage: 104.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2542a8ec",
   "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></th>\n",
       "      <th>Zip code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2224.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>47994.393435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>28885.279427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1075.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>30056.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>37211.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>77058.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99223.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Zip code\n",
       "count   2224.000000\n",
       "mean   47994.393435\n",
       "std    28885.279427\n",
       "min     1075.000000\n",
       "25%    30056.500000\n",
       "50%    37211.000000\n",
       "75%    77058.750000\n",
       "max    99223.000000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "df804800",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ticket #                       0\n",
      "Customer Complaint             0\n",
      "Date                           0\n",
      "Date_month_year                0\n",
      "Time                           0\n",
      "Received Via                   0\n",
      "City                           0\n",
      "State                          0\n",
      "Zip code                       0\n",
      "Status                         0\n",
      "Filing on Behalf of Someone    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "89e74f6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2224 entries, 0 to 2223\n",
      "Data columns (total 11 columns):\n",
      " #   Column                       Non-Null Count  Dtype         \n",
      "---  ------                       --------------  -----         \n",
      " 0   Ticket #                     2224 non-null   object        \n",
      " 1   Customer Complaint           2224 non-null   object        \n",
      " 2   Date                         2224 non-null   object        \n",
      " 3   Date_month_year              2224 non-null   datetime64[ns]\n",
      " 4   Time                         2224 non-null   object        \n",
      " 5   Received Via                 2224 non-null   object        \n",
      " 6   City                         2224 non-null   object        \n",
      " 7   State                        2224 non-null   object        \n",
      " 8   Zip code                     2224 non-null   int64         \n",
      " 9   Status                       2224 non-null   object        \n",
      " 10  Filing on Behalf of Someone  2224 non-null   object        \n",
      "dtypes: datetime64[ns](1), int64(1), object(9)\n",
      "memory usage: 113.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# Change the datatype of \"Date_month_year\" and \"Date_Time\".\n",
    "df[\"Date_month_year\"] = pd.to_datetime(df[\"Date_month_year\"])\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e61fba0d",
   "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></th>\n",
       "      <th>Ticket #</th>\n",
       "      <th>Customer Complaint</th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_month_year</th>\n",
       "      <th>Time</th>\n",
       "      <th>Received Via</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip code</th>\n",
       "      <th>Status</th>\n",
       "      <th>Filing on Behalf of Someone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>250635</td>\n",
       "      <td>Comcast Cable Internet Speeds</td>\n",
       "      <td>22-04-15</td>\n",
       "      <td>2015-04-22</td>\n",
       "      <td>3:53:50 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Abingdon</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>21009</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>223441</td>\n",
       "      <td>Payment disappear - service got disconnected</td>\n",
       "      <td>04-08-15</td>\n",
       "      <td>2015-08-04</td>\n",
       "      <td>10:22:56 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30102</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>242732</td>\n",
       "      <td>Speed and Service</td>\n",
       "      <td>18-04-15</td>\n",
       "      <td>2015-04-18</td>\n",
       "      <td>9:55:47 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Closed</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>277946</td>\n",
       "      <td>Comcast Imposed a New Usage Cap of 300GB that ...</td>\n",
       "      <td>05-07-15</td>\n",
       "      <td>2015-07-05</td>\n",
       "      <td>11:59:35 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Open</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>307175</td>\n",
       "      <td>Comcast not working and no service to boot</td>\n",
       "      <td>26-05-15</td>\n",
       "      <td>2015-05-26</td>\n",
       "      <td>1:25:26 PM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Ticket #                                 Customer Complaint      Date  \\\n",
       "0   250635                      Comcast Cable Internet Speeds  22-04-15   \n",
       "1   223441       Payment disappear - service got disconnected  04-08-15   \n",
       "2   242732                                  Speed and Service  18-04-15   \n",
       "3   277946  Comcast Imposed a New Usage Cap of 300GB that ...  05-07-15   \n",
       "4   307175         Comcast not working and no service to boot  26-05-15   \n",
       "\n",
       "  Date_month_year         Time        Received Via      City     State  \\\n",
       "0      2015-04-22   3:53:50 PM  Customer Care Call  Abingdon  Maryland   \n",
       "1      2015-08-04  10:22:56 AM            Internet   Acworth   Georgia   \n",
       "2      2015-04-18   9:55:47 AM            Internet   Acworth   Georgia   \n",
       "3      2015-07-05  11:59:35 AM            Internet   Acworth   Georgia   \n",
       "4      2015-05-26   1:25:26 PM            Internet   Acworth   Georgia   \n",
       "\n",
       "   Zip code  Status Filing on Behalf of Someone  \n",
       "0     21009  Closed                          No  \n",
       "1     30102  Closed                          No  \n",
       "2     30101  Closed                         Yes  \n",
       "3     30101    Open                         Yes  \n",
       "4     30101  Solved                          No  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99d29723",
   "metadata": {},
   "source": [
    "### 1. Provide the trend chart for the number of complaints at monthly and daily granularity levels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "39f3840e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2015-06-24    218\n",
       "2015-06-23    190\n",
       "2015-06-25     98\n",
       "2015-06-26     55\n",
       "2015-06-30     53\n",
       "             ... \n",
       "2015-02-05      7\n",
       "2015-12-05      7\n",
       "2015-05-04      6\n",
       "2015-03-05      5\n",
       "2015-11-04      5\n",
       "Name: Date_month_year, Length: 91, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the trend chart for the number of complaints on daily granularity levels.\n",
    "df[\"Date_month_year\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1d20c0ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Date_month_year\"].value_counts().plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8830aef9",
   "metadata": {},
   "source": [
    "June 24th, 2015 has the highest number of complaints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1b4e4a05",
   "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></th>\n",
       "      <th>Ticket #</th>\n",
       "      <th>Customer Complaint</th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_month_year</th>\n",
       "      <th>Time</th>\n",
       "      <th>Received Via</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip code</th>\n",
       "      <th>Status</th>\n",
       "      <th>Filing on Behalf of Someone</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>250635</td>\n",
       "      <td>Comcast Cable Internet Speeds</td>\n",
       "      <td>22-04-15</td>\n",
       "      <td>2015-04-22</td>\n",
       "      <td>3:53:50 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Abingdon</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>21009</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>223441</td>\n",
       "      <td>Payment disappear - service got disconnected</td>\n",
       "      <td>04-08-15</td>\n",
       "      <td>2015-08-04</td>\n",
       "      <td>10:22:56 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30102</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>242732</td>\n",
       "      <td>Speed and Service</td>\n",
       "      <td>18-04-15</td>\n",
       "      <td>2015-04-18</td>\n",
       "      <td>9:55:47 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Closed</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>277946</td>\n",
       "      <td>Comcast Imposed a New Usage Cap of 300GB that ...</td>\n",
       "      <td>05-07-15</td>\n",
       "      <td>2015-07-05</td>\n",
       "      <td>11:59:35 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Open</td>\n",
       "      <td>Yes</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>307175</td>\n",
       "      <td>Comcast not working and no service to boot</td>\n",
       "      <td>26-05-15</td>\n",
       "      <td>2015-05-26</td>\n",
       "      <td>1:25:26 PM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Ticket #                                 Customer Complaint      Date  \\\n",
       "0   250635                      Comcast Cable Internet Speeds  22-04-15   \n",
       "1   223441       Payment disappear - service got disconnected  04-08-15   \n",
       "2   242732                                  Speed and Service  18-04-15   \n",
       "3   277946  Comcast Imposed a New Usage Cap of 300GB that ...  05-07-15   \n",
       "4   307175         Comcast not working and no service to boot  26-05-15   \n",
       "\n",
       "  Date_month_year         Time        Received Via      City     State  \\\n",
       "0      2015-04-22   3:53:50 PM  Customer Care Call  Abingdon  Maryland   \n",
       "1      2015-08-04  10:22:56 AM            Internet   Acworth   Georgia   \n",
       "2      2015-04-18   9:55:47 AM            Internet   Acworth   Georgia   \n",
       "3      2015-07-05  11:59:35 AM            Internet   Acworth   Georgia   \n",
       "4      2015-05-26   1:25:26 PM            Internet   Acworth   Georgia   \n",
       "\n",
       "   Zip code  Status Filing on Behalf of Someone  month  \n",
       "0     21009  Closed                          No      4  \n",
       "1     30102  Closed                          No      8  \n",
       "2     30101  Closed                         Yes      4  \n",
       "3     30101    Open                         Yes      7  \n",
       "4     30101  Solved                          No      5  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extracting the 'Months' from 'Date_month_year' columns\n",
    "df['month'] = df['Date_month_year'].dt.month\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "13a2db3c",
   "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></th>\n",
       "      <th>frequency</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>45</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>375</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>317</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1046</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   frequency  month\n",
       "1         55      1\n",
       "2         59      2\n",
       "3         45      3\n",
       "4        375      4\n",
       "5        317      5\n",
       "6       1046      6"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the trend chart for the number of complaints at monthly granularity levels.\n",
    "\n",
    "x = df['month'].value_counts()\n",
    "mon_comp = pd.DataFrame(x)\n",
    "mon_comp = mon_comp.rename(columns = {\"month\" : \"frequency\"})\n",
    "mon_comp['month'] = mon_comp.index\n",
    "mon_comp = mon_comp.sort_values('month')\n",
    "mon_comp.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d00f4293",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='month', ylabel='frequency'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.barplot(x = 'month', y = 'frequency', data = mon_comp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c86e7903",
   "metadata": {},
   "source": [
    "June month has the highest number of complaints"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b442eea",
   "metadata": {},
   "source": [
    "### 2. Provide a table with the frequency of complaint types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dc548d97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Comcast                                                           83\n",
       "Comcast Internet                                                  18\n",
       "Comcast Data Cap                                                  17\n",
       "comcast                                                           13\n",
       "Comcast Billing                                                   11\n",
       "                                                                  ..\n",
       "Installation Charges                                               1\n",
       "Paying for service for 12 months without recieving the service     1\n",
       "Double billing from Comcast                                        1\n",
       "Comcast monopoly hurting my business                               1\n",
       "Week long issues with speed and no help from comcast               1\n",
       "Name: Customer Complaint, Length: 1841, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Customer Complaint'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ef56dd5",
   "metadata": {},
   "source": [
    "Comcast contains the highest frequency of complain types."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68854d0a",
   "metadata": {},
   "source": [
    "### 3. Which complaint types are maximum i.e., around internet, network issues, or across any other domains?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d592659e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Received Via    Internet\n",
       "Count               1119\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby([\"Received Via\"]).size().sort_values(ascending=False).to_frame().reset_index().rename({0: \"Count\"}, axis=1).max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "465f1150",
   "metadata": {},
   "source": [
    "### 4. Create a new categorical variable with value as Open and Closed. Open & Pending is to be categorized as Open and Closed & Solved is to be categorized as Closed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f2115616",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Closed', 'Open', 'Solved', 'Pending'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Status.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "694aa84a",
   "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></th>\n",
       "      <th>Ticket #</th>\n",
       "      <th>Customer Complaint</th>\n",
       "      <th>Date</th>\n",
       "      <th>Date_month_year</th>\n",
       "      <th>Time</th>\n",
       "      <th>Received Via</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip code</th>\n",
       "      <th>Status</th>\n",
       "      <th>Filing on Behalf of Someone</th>\n",
       "      <th>month</th>\n",
       "      <th>newStatus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>250635</td>\n",
       "      <td>Comcast Cable Internet Speeds</td>\n",
       "      <td>22-04-15</td>\n",
       "      <td>2015-04-22</td>\n",
       "      <td>3:53:50 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Abingdon</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>21009</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>223441</td>\n",
       "      <td>Payment disappear - service got disconnected</td>\n",
       "      <td>04-08-15</td>\n",
       "      <td>2015-08-04</td>\n",
       "      <td>10:22:56 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30102</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "      <td>8</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>242732</td>\n",
       "      <td>Speed and Service</td>\n",
       "      <td>18-04-15</td>\n",
       "      <td>2015-04-18</td>\n",
       "      <td>9:55:47 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Closed</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>277946</td>\n",
       "      <td>Comcast Imposed a New Usage Cap of 300GB that ...</td>\n",
       "      <td>05-07-15</td>\n",
       "      <td>2015-07-05</td>\n",
       "      <td>11:59:35 AM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Open</td>\n",
       "      <td>Yes</td>\n",
       "      <td>7</td>\n",
       "      <td>Open</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>307175</td>\n",
       "      <td>Comcast not working and no service to boot</td>\n",
       "      <td>26-05-15</td>\n",
       "      <td>2015-05-26</td>\n",
       "      <td>1:25:26 PM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Acworth</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>30101</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "      <td>5</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2219</th>\n",
       "      <td>213550</td>\n",
       "      <td>Service Availability</td>\n",
       "      <td>04-02-15</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>9:13:18 AM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Youngstown</td>\n",
       "      <td>Florida</td>\n",
       "      <td>32466</td>\n",
       "      <td>Closed</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2220</th>\n",
       "      <td>318775</td>\n",
       "      <td>Comcast Monthly Billing for Returned Modem</td>\n",
       "      <td>06-02-15</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>1:24:39 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Ypsilanti</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>48197</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2221</th>\n",
       "      <td>331188</td>\n",
       "      <td>complaint about comcast</td>\n",
       "      <td>06-09-15</td>\n",
       "      <td>2015-09-06</td>\n",
       "      <td>5:28:41 PM</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Ypsilanti</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>48197</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "      <td>9</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2222</th>\n",
       "      <td>360489</td>\n",
       "      <td>Extremely unsatisfied Comcast customer</td>\n",
       "      <td>23-06-15</td>\n",
       "      <td>2015-06-23</td>\n",
       "      <td>11:13:30 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Ypsilanti</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>48197</td>\n",
       "      <td>Solved</td>\n",
       "      <td>No</td>\n",
       "      <td>6</td>\n",
       "      <td>Closed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2223</th>\n",
       "      <td>363614</td>\n",
       "      <td>Comcast, Ypsilanti MI Internet Speed</td>\n",
       "      <td>24-06-15</td>\n",
       "      <td>2015-06-24</td>\n",
       "      <td>10:28:33 PM</td>\n",
       "      <td>Customer Care Call</td>\n",
       "      <td>Ypsilanti</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>48198</td>\n",
       "      <td>Open</td>\n",
       "      <td>Yes</td>\n",
       "      <td>6</td>\n",
       "      <td>Open</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2224 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Ticket #                                 Customer Complaint      Date  \\\n",
       "0      250635                      Comcast Cable Internet Speeds  22-04-15   \n",
       "1      223441       Payment disappear - service got disconnected  04-08-15   \n",
       "2      242732                                  Speed and Service  18-04-15   \n",
       "3      277946  Comcast Imposed a New Usage Cap of 300GB that ...  05-07-15   \n",
       "4      307175         Comcast not working and no service to boot  26-05-15   \n",
       "...       ...                                                ...       ...   \n",
       "2219   213550                               Service Availability  04-02-15   \n",
       "2220   318775         Comcast Monthly Billing for Returned Modem  06-02-15   \n",
       "2221   331188                            complaint about comcast  06-09-15   \n",
       "2222   360489             Extremely unsatisfied Comcast customer  23-06-15   \n",
       "2223   363614               Comcast, Ypsilanti MI Internet Speed  24-06-15   \n",
       "\n",
       "     Date_month_year         Time        Received Via        City     State  \\\n",
       "0         2015-04-22   3:53:50 PM  Customer Care Call    Abingdon  Maryland   \n",
       "1         2015-08-04  10:22:56 AM            Internet     Acworth   Georgia   \n",
       "2         2015-04-18   9:55:47 AM            Internet     Acworth   Georgia   \n",
       "3         2015-07-05  11:59:35 AM            Internet     Acworth   Georgia   \n",
       "4         2015-05-26   1:25:26 PM            Internet     Acworth   Georgia   \n",
       "...              ...          ...                 ...         ...       ...   \n",
       "2219      2015-02-04   9:13:18 AM  Customer Care Call  Youngstown   Florida   \n",
       "2220      2015-02-06   1:24:39 PM  Customer Care Call   Ypsilanti  Michigan   \n",
       "2221      2015-09-06   5:28:41 PM            Internet   Ypsilanti  Michigan   \n",
       "2222      2015-06-23  11:13:30 PM  Customer Care Call   Ypsilanti  Michigan   \n",
       "2223      2015-06-24  10:28:33 PM  Customer Care Call   Ypsilanti  Michigan   \n",
       "\n",
       "      Zip code  Status Filing on Behalf of Someone  month newStatus  \n",
       "0        21009  Closed                          No      4    Closed  \n",
       "1        30102  Closed                          No      8    Closed  \n",
       "2        30101  Closed                         Yes      4    Closed  \n",
       "3        30101    Open                         Yes      7      Open  \n",
       "4        30101  Solved                          No      5    Closed  \n",
       "...        ...     ...                         ...    ...       ...  \n",
       "2219     32466  Closed                          No      2    Closed  \n",
       "2220     48197  Solved                          No      2    Closed  \n",
       "2221     48197  Solved                          No      9    Closed  \n",
       "2222     48197  Solved                          No      6    Closed  \n",
       "2223     48198    Open                         Yes      6      Open  \n",
       "\n",
       "[2224 rows x 13 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"newStatus\"] = [\"Open\" if Status==\"Open\" or Status==\"Pending\" else \"Closed\" for Status in df[\"Status\"]]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97714f02",
   "metadata": {},
   "source": [
    "### 5. Which state has the maximum complaints?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8cf39769",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State\n",
       "Georgia       288\n",
       "Florida       240\n",
       "California    220\n",
       "Illinois      164\n",
       "Tennessee     143\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby([\"State\"]).size().sort_values(ascending=False)[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e71bc193",
   "metadata": {},
   "source": [
    "### 6. Provide state wise status of complaints in a stacked bar chart. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ecc6a9c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "newStatus             Closed  Open\n",
      "State                             \n",
      "Alabama                 17.0   9.0\n",
      "Arizona                 14.0   6.0\n",
      "Arkansas                 6.0   NaN\n",
      "California             159.0  61.0\n",
      "Colorado                58.0  22.0\n",
      "Connecticut              9.0   3.0\n",
      "Delaware                 8.0   4.0\n",
      "District Of Columbia    14.0   2.0\n",
      "District of Columbia     1.0   NaN\n",
      "Florida                201.0  39.0\n",
      "Georgia                208.0  80.0\n",
      "Illinois               135.0  29.0\n",
      "Indiana                 50.0   9.0\n",
      "Iowa                     1.0   NaN\n",
      "Kansas                   1.0   1.0\n",
      "Kentucky                 4.0   3.0\n",
      "Louisiana               12.0   1.0\n",
      "Maine                    3.0   2.0\n",
      "Maryland                63.0  15.0\n",
      "Massachusetts           50.0  11.0\n",
      "Michigan                92.0  23.0\n",
      "Minnesota               29.0   4.0\n",
      "Mississippi             23.0  16.0\n",
      "Missouri                 3.0   1.0\n",
      "Montana                  1.0   NaN\n",
      "Nevada                   1.0   NaN\n",
      "New Hampshire            8.0   4.0\n",
      "New Jersey              56.0  19.0\n",
      "New Mexico              11.0   4.0\n",
      "New York                 6.0   NaN\n",
      "North Carolina           3.0   NaN\n",
      "Ohio                     3.0   NaN\n",
      "Oregon                  36.0  13.0\n",
      "Pennsylvania           110.0  20.0\n",
      "Rhode Island             1.0   NaN\n",
      "South Carolina          15.0   3.0\n",
      "Tennessee               96.0  47.0\n",
      "Texas                   49.0  22.0\n",
      "Utah                    16.0   6.0\n",
      "Vermont                  2.0   1.0\n",
      "Virginia                49.0  11.0\n",
      "Washington              75.0  23.0\n",
      "West Virginia            8.0   3.0\n"
     ]
    }
   ],
   "source": [
    "Status_complaints = df.groupby([\"State\",\"newStatus\"]).size().unstack()\n",
    "print(Status_complaints)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ccf73b34",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='State'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Status_complaints.plot.bar(figsize=(20,10), stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95b7d596",
   "metadata": {},
   "source": [
    "* The highest number of complaints recorded from the state Georgia and the second highest number of complaints recorded from the state Florida."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a9a5ed6",
   "metadata": {},
   "source": [
    "### 7. Which state has the highest percentage of unresolved complaints?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "df6a5e4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Closed    1707\n",
      "Open       517\n",
      "Name: newStatus, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df['newStatus'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "eb36c410",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "newStatus             Closed  Open  Unresolved_cmp_prct\n",
      "State                                                  \n",
      "Georgia                208.0  80.0            15.473888\n",
      "California             159.0  61.0            11.798839\n",
      "Tennessee               96.0  47.0             9.090909\n",
      "Florida                201.0  39.0             7.543520\n",
      "Illinois               135.0  29.0             5.609284\n",
      "Washington              75.0  23.0             4.448743\n",
      "Michigan                92.0  23.0             4.448743\n",
      "Colorado                58.0  22.0             4.255319\n",
      "Texas                   49.0  22.0             4.255319\n",
      "Pennsylvania           110.0  20.0             3.868472\n",
      "New Jersey              56.0  19.0             3.675048\n",
      "Mississippi             23.0  16.0             3.094778\n",
      "Maryland                63.0  15.0             2.901354\n",
      "Oregon                  36.0  13.0             2.514507\n",
      "Virginia                49.0  11.0             2.127660\n",
      "Massachusetts           50.0  11.0             2.127660\n",
      "Alabama                 17.0   9.0             1.740812\n",
      "Indiana                 50.0   9.0             1.740812\n",
      "Utah                    16.0   6.0             1.160542\n",
      "Arizona                 14.0   6.0             1.160542\n",
      "New Hampshire            8.0   4.0             0.773694\n",
      "New Mexico              11.0   4.0             0.773694\n",
      "Minnesota               29.0   4.0             0.773694\n",
      "Delaware                 8.0   4.0             0.773694\n",
      "West Virginia            8.0   3.0             0.580271\n",
      "Connecticut              9.0   3.0             0.580271\n",
      "Kentucky                 4.0   3.0             0.580271\n",
      "South Carolina          15.0   3.0             0.580271\n",
      "Maine                    3.0   2.0             0.386847\n",
      "District Of Columbia    14.0   2.0             0.386847\n",
      "Kansas                   1.0   1.0             0.193424\n",
      "Vermont                  2.0   1.0             0.193424\n",
      "Missouri                 3.0   1.0             0.193424\n",
      "Louisiana               12.0   1.0             0.193424\n",
      "Montana                  1.0   0.0             0.000000\n",
      "Rhode Island             1.0   0.0             0.000000\n",
      "Ohio                     3.0   0.0             0.000000\n",
      "District of Columbia     1.0   0.0             0.000000\n",
      "North Carolina           3.0   0.0             0.000000\n",
      "New York                 6.0   0.0             0.000000\n",
      "Nevada                   1.0   0.0             0.000000\n",
      "Arkansas                 6.0   0.0             0.000000\n",
      "Iowa                     1.0   0.0             0.000000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='State'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unresolved_data = df.groupby([\"State\",'newStatus']).size().unstack().fillna(0).sort_values(by='Open',ascending=False)\n",
    "unresolved_data['Unresolved_cmp_prct'] = unresolved_data['Open']/unresolved_data['Open'].sum()*100\n",
    "print(unresolved_data)\n",
    "unresolved_data.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "644462d3",
   "metadata": {},
   "source": [
    "### 8. Provide the percentage of complaints resolved till date, which were received through the Internet and customer care call."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a2faa35d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Received Via\n",
       "Customer Care Call    50.615114\n",
       "Internet              49.384886\n",
       "Name: resolved, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resolved_data = df.groupby(['Received Via','newStatus']).size().unstack().fillna(0)\n",
    "resolved_data['resolved'] = resolved_data['Closed']/resolved_data['Closed'].sum()*100\n",
    "resolved_data['resolved']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7eef0b70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Received Via'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "resolved_data.plot(kind=\"bar\", figsize=(15,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80e526c7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "67bcf3c9",
   "metadata": {},
   "source": [
    "# References :\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ed3892a",
   "metadata": {},
   "source": [
    "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abe66fa9",
   "metadata": {},
   "source": [
    "https://www.dezyre.com/recipes/unstack-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f913e0e7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}