Deepak_Google-Play-Store-Rating_Project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3bc9f0e8",
   "metadata": {},
   "source": [
    "## <font color='blue'>PART I:</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcd451e7",
   "metadata": {},
   "source": [
    "##  <font color='blue'>Domain: Mobile device apps</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fa47c6e",
   "metadata": {},
   "source": [
    "### 1. Import required libraries and read the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0bf7481e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:18.878894Z",
     "start_time": "2024-02-04T02:57:16.977308Z"
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   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import metrics\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from statsmodels.api import OLS\n",
    "from statsmodels.formula.api import ols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fe94ef83",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:21.032697Z",
     "start_time": "2024-02-04T02:57:20.367836Z"
    }
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App        Category  Rating  \\\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
       "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
       "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
       "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
       "\n",
       "  Reviews  Size     Installs  Type Price Content Rating  \\\n",
       "0     159   19M      10,000+  Free     0       Everyone   \n",
       "1     967   14M     500,000+  Free     0       Everyone   \n",
       "2   87510  8.7M   5,000,000+  Free     0       Everyone   \n",
       "3  215644   25M  50,000,000+  Free     0           Teen   \n",
       "4     967  2.8M     100,000+  Free     0       Everyone   \n",
       "\n",
       "                      Genres      Last Updated         Current Ver  \\\n",
       "0               Art & Design   January 7, 2018               1.0.0   \n",
       "1  Art & Design;Pretend Play  January 15, 2018               2.0.0   \n",
       "2               Art & Design    August 1, 2018               1.2.4   \n",
       "3               Art & Design      June 8, 2018  Varies with device   \n",
       "4    Art & Design;Creativity     June 20, 2018                 1.1   \n",
       "\n",
       "    Android Ver  \n",
       "0  4.0.3 and up  \n",
       "1  4.0.3 and up  \n",
       "2  4.0.3 and up  \n",
       "3    4.2 and up  \n",
       "4    4.4 and up  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.read_csv(\"Apps_data+(1).csv\")\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b68c25b0",
   "metadata": {},
   "source": [
    "### 2. Check the first few samples, shape, info of the data and try to familiarize yourself with different features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1d088b33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-02T14:30:30.357467Z",
     "start_time": "2024-02-02T14:30:30.309333Z"
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8404</th>\n",
       "      <td>Call of Mini™ Dino Hunter</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.2</td>\n",
       "      <td>326042</td>\n",
       "      <td>10M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Action</td>\n",
       "      <td>June 6, 2014</td>\n",
       "      <td>3.1.7</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9564</th>\n",
       "      <td>Real Madrid App</td>\n",
       "      <td>SPORTS</td>\n",
       "      <td>4.6</td>\n",
       "      <td>161423</td>\n",
       "      <td>73M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Sports</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>6.5.3</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3114</th>\n",
       "      <td>Google Trips - Travel Planner</td>\n",
       "      <td>TRAVEL_AND_LOCAL</td>\n",
       "      <td>4.1</td>\n",
       "      <td>26871</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Travel &amp; Local</td>\n",
       "      <td>July 26, 2018</td>\n",
       "      <td>1.10.0.205086730</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                App          Category  Rating  ...    Last Updated       Current Ver Android Ver\n",
       "8404      Call of Mini™ Dino Hunter              GAME     4.2  ...    June 6, 2014             3.1.7  3.0 and up\n",
       "9564                Real Madrid App            SPORTS     4.6  ...  August 1, 2018             6.5.3  5.0 and up\n",
       "3114  Google Trips - Travel Planner  TRAVEL_AND_LOCAL     4.1  ...   July 26, 2018  1.10.0.205086730  4.1 and up\n",
       "\n",
       "[3 rows x 13 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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   ],
   "source": [
    "df1.sample(3)"
   ]
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10841, 13)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4c471a0e",
   "metadata": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10841 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10841 non-null  object \n",
      " 1   Category        10841 non-null  object \n",
      " 2   Rating          9367 non-null   float64\n",
      " 3   Reviews         10841 non-null  object \n",
      " 4   Size            10841 non-null  object \n",
      " 5   Installs        10841 non-null  object \n",
      " 6   Type            10840 non-null  object \n",
      " 7   Price           10841 non-null  object \n",
      " 8   Content Rating  10840 non-null  object \n",
      " 9   Genres          10841 non-null  object \n",
      " 10  Last Updated    10841 non-null  object \n",
      " 11  Current Ver     10833 non-null  object \n",
      " 12  Android Ver     10838 non-null  object \n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df1.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b34b472",
   "metadata": {},
   "source": [
    "__The dataset contains 10,841 entries with 13 columns, including one float column (Rating) and 12 object columns; it exhibits missing values in columns such as Rating, Type, Content Rating, Current Ver, and Android Ver, and further preprocessing is needed to handle data types, address missing values, and convert certain columns to numerical formats for analysis__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0e48f05",
   "metadata": {},
   "source": [
    "### 3. Check summary statistics of the dataset. List out the columns that need to be worked upon for model building"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "66d6929c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-02T14:33:15.013418Z",
     "start_time": "2024-02-02T14:33:14.920002Z"
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    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
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       "  </thead>\n",
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       "      <th>count</th>\n",
       "      <td>9367.000000</td>\n",
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       "      <th>mean</th>\n",
       "      <td>4.193338</td>\n",
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       "      <th>std</th>\n",
       "      <td>0.537431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
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       "      <th>25%</th>\n",
       "      <td>4.000000</td>\n",
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       "      <th>50%</th>\n",
       "      <td>4.300000</td>\n",
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       "      <th>75%</th>\n",
       "      <td>4.500000</td>\n",
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       "      <th>max</th>\n",
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      "text/plain": [
       "            Rating\n",
       "count  9367.000000\n",
       "mean      4.193338\n",
       "std       0.537431\n",
       "min       1.000000\n",
       "25%       4.000000\n",
       "50%       4.300000\n",
       "75%       4.500000\n",
       "max      19.000000"
      ]
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    "df1.describe()"
   ]
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <td>10841</td>\n",
       "      <td>9660</td>\n",
       "      <td>ROBLOX</td>\n",
       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>Category</th>\n",
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       "      <td>34</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>1972</td>\n",
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       "      <th>Reviews</th>\n",
       "      <td>10841</td>\n",
       "      <td>6002</td>\n",
       "      <td>0</td>\n",
       "      <td>596</td>\n",
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       "      <th>Size</th>\n",
       "      <td>10841</td>\n",
       "      <td>462</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1695</td>\n",
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       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>10841</td>\n",
       "      <td>22</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>1579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>10840</td>\n",
       "      <td>3</td>\n",
       "      <td>Free</td>\n",
       "      <td>10039</td>\n",
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       "      <th>Price</th>\n",
       "      <td>10841</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>10040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>10840</td>\n",
       "      <td>6</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>8714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>10841</td>\n",
       "      <td>120</td>\n",
       "      <td>Tools</td>\n",
       "      <td>842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Last Updated</th>\n",
       "      <td>10841</td>\n",
       "      <td>1378</td>\n",
       "      <td>August 3, 2018</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Current Ver</th>\n",
       "      <td>10833</td>\n",
       "      <td>2832</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Android Ver</th>\n",
       "      <td>10838</td>\n",
       "      <td>33</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>2451</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                count unique                 top   freq\n",
       "App             10841   9660              ROBLOX      9\n",
       "Category        10841     34              FAMILY   1972\n",
       "Reviews         10841   6002                   0    596\n",
       "Size            10841    462  Varies with device   1695\n",
       "Installs        10841     22          1,000,000+   1579\n",
       "Type            10840      3                Free  10039\n",
       "Price           10841     93                   0  10040\n",
       "Content Rating  10840      6            Everyone   8714\n",
       "Genres          10841    120               Tools    842\n",
       "Last Updated    10841   1378      August 3, 2018    326\n",
       "Current Ver     10833   2832  Varies with device   1459\n",
       "Android Ver     10838     33          4.1 and up   2451"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.describe(include=\"object\").T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "802efd2a",
   "metadata": {},
   "source": [
    "__Rating:__ There are missing values to Handle and outliers if any.\n",
    "\n",
    "__Reviews:__ Convert to a numeric data type.\n",
    "\n",
    "__Size:__ Standardize and convert to a uniform numeric format.\n",
    "\n",
    "__Installs:__ Clean and convert to a numeric data type.\n",
    "\n",
    "__Type:__ Address the missing value.\n",
    "\n",
    "__Price:__ Remove any currency symbols and convert to a numeric data type.\n",
    "\n",
    "__Content Rating, Genres, Category:__ Depending on the model, these categorical values might need encoding (lable encoding or one-hot encoding).\n",
    "\n",
    "__Last Updated, Current Ver, Android Ver:__ Convert these to a more usable format if they are going to be used as features in the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "350a9468",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:30.805051Z",
     "start_time": "2024-02-04T02:57:30.800990Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df1.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19c45a72",
   "metadata": {},
   "source": [
    "### 4. Check if there are any duplicate records in the dataset? if any drop them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bd593f21",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-02T14:46:45.824108Z",
     "start_time": "2024-02-02T14:46:45.810042Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "483"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c419b2d0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:35.971797Z",
     "start_time": "2024-02-04T02:57:35.708093Z"
    }
   },
   "outputs": [],
   "source": [
    "df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c445d216",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:37.505405Z",
     "start_time": "2024-02-04T02:57:37.495809Z"
    }
   },
   "outputs": [],
   "source": [
    "df.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7129caab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:38.930698Z",
     "start_time": "2024-02-04T02:57:38.918321Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d9caa69c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-02T14:50:07.530868Z",
     "start_time": "2024-02-02T14:50:07.509754Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10358 entries, 0 to 10357\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10358 non-null  object \n",
      " 1   Category        10358 non-null  object \n",
      " 2   Rating          8893 non-null   float64\n",
      " 3   Reviews         10358 non-null  object \n",
      " 4   Size            10358 non-null  object \n",
      " 5   Installs        10358 non-null  object \n",
      " 6   Type            10357 non-null  object \n",
      " 7   Price           10358 non-null  object \n",
      " 8   Content Rating  10357 non-null  object \n",
      " 9   Genres          10358 non-null  object \n",
      " 10  Last Updated    10358 non-null  object \n",
      " 11  Current Ver     10350 non-null  object \n",
      " 12  Android Ver     10355 non-null  object \n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b7595b3",
   "metadata": {},
   "source": [
    "### 5. Check the unique categories of the column 'Category', Is there any invalid category? If yes, drop them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f10aa87",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:42.407843Z",
     "start_time": "2024-02-04T02:57:42.403201Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e0ca3da4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:44.292161Z",
     "start_time": "2024-02-04T02:57:44.285610Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ART_AND_DESIGN', 'AUTO_AND_VEHICLES', 'BEAUTY',\n",
       "       'BOOKS_AND_REFERENCE', 'BUSINESS', 'COMICS', 'COMMUNICATION',\n",
       "       'DATING', 'EDUCATION', 'ENTERTAINMENT', 'EVENTS', 'FINANCE',\n",
       "       'FOOD_AND_DRINK', 'HEALTH_AND_FITNESS', 'HOUSE_AND_HOME',\n",
       "       'LIBRARIES_AND_DEMO', 'LIFESTYLE', 'GAME', 'FAMILY', 'MEDICAL',\n",
       "       'SOCIAL', 'SHOPPING', 'PHOTOGRAPHY', 'SPORTS', 'TRAVEL_AND_LOCAL',\n",
       "       'TOOLS', 'PERSONALIZATION', 'PRODUCTIVITY', 'PARENTING', 'WEATHER',\n",
       "       'VIDEO_PLAYERS', 'NEWS_AND_MAGAZINES', 'MAPS_AND_NAVIGATION',\n",
       "       '1.9'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Category'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5672303a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:46.446585Z",
     "start_time": "2024-02-04T02:57:46.428190Z"
    }
   },
   "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>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9990</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          App Category  Rating Reviews  \\\n",
       "9990  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M   \n",
       "\n",
       "        Size Installs Type     Price Content Rating             Genres  \\\n",
       "9990  1,000+     Free    0  Everyone            NaN  February 11, 2018   \n",
       "\n",
       "     Last Updated Current Ver Android Ver  \n",
       "9990       1.0.19  4.0 and up         NaN  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Category'].str.contains('1.9')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "093251ef",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:51.959280Z",
     "start_time": "2024-02-04T02:57:51.867198Z"
    }
   },
   "outputs": [],
   "source": [
    "df.drop(index=9990,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "66e3864d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:18.434788Z",
     "start_time": "2024-02-04T02:58:18.422509Z"
    }
   },
   "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",
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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></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [App, Category, Rating, Reviews, Size, Installs, Type, Price, Content Rating, Genres, Last Updated, Current Ver, Android Ver]\n",
       "Index: []"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Category'].str.contains('1.9')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "40f54af6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:57:55.277168Z",
     "start_time": "2024-02-04T02:57:55.271727Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ART_AND_DESIGN', 'AUTO_AND_VEHICLES', 'BEAUTY',\n",
       "       'BOOKS_AND_REFERENCE', 'BUSINESS', 'COMICS', 'COMMUNICATION',\n",
       "       'DATING', 'EDUCATION', 'ENTERTAINMENT', 'EVENTS', 'FINANCE',\n",
       "       'FOOD_AND_DRINK', 'HEALTH_AND_FITNESS', 'HOUSE_AND_HOME',\n",
       "       'LIBRARIES_AND_DEMO', 'LIFESTYLE', 'GAME', 'FAMILY', 'MEDICAL',\n",
       "       'SOCIAL', 'SHOPPING', 'PHOTOGRAPHY', 'SPORTS', 'TRAVEL_AND_LOCAL',\n",
       "       'TOOLS', 'PERSONALIZATION', 'PRODUCTIVITY', 'PARENTING', 'WEATHER',\n",
       "       'VIDEO_PLAYERS', 'NEWS_AND_MAGAZINES', 'MAPS_AND_NAVIGATION'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Category'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5866efdc",
   "metadata": {},
   "source": [
    "### 6. Check if there are missing values present in the column Rating, If any? drop them and and create a new column as 'Rating_category' by converting ratings to high and low categories(>3.5 is high rest low)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1a79d841",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:23.869017Z",
     "start_time": "2024-02-04T02:58:23.863722Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1465"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Rating'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a1d5c26d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:26.015138Z",
     "start_time": "2024-02-04T02:58:25.925781Z"
    }
   },
   "outputs": [],
   "source": [
    "df.dropna(subset=['Rating'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0bfe38a4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:27.978277Z",
     "start_time": "2024-02-04T02:58:27.937299Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "      <th>Rating_category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App        Category  Rating  \\\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
       "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
       "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
       "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
       "\n",
       "  Reviews  Size     Installs  Type Price Content Rating  \\\n",
       "0     159   19M      10,000+  Free     0       Everyone   \n",
       "1     967   14M     500,000+  Free     0       Everyone   \n",
       "2   87510  8.7M   5,000,000+  Free     0       Everyone   \n",
       "3  215644   25M  50,000,000+  Free     0           Teen   \n",
       "4     967  2.8M     100,000+  Free     0       Everyone   \n",
       "\n",
       "                      Genres      Last Updated         Current Ver  \\\n",
       "0               Art & Design   January 7, 2018               1.0.0   \n",
       "1  Art & Design;Pretend Play  January 15, 2018               2.0.0   \n",
       "2               Art & Design    August 1, 2018               1.2.4   \n",
       "3               Art & Design      June 8, 2018  Varies with device   \n",
       "4    Art & Design;Creativity     June 20, 2018                 1.1   \n",
       "\n",
       "    Android Ver Rating_category  \n",
       "0  4.0.3 and up            High  \n",
       "1  4.0.3 and up            High  \n",
       "2  4.0.3 and up            High  \n",
       "3    4.2 and up            High  \n",
       "4    4.4 and up            High  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Rating_category'] = df['Rating'].apply(lambda x: 'High' if x > 3.5 else 'Low')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7a6cfbaa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-02T14:53:53.094936Z",
     "start_time": "2024-02-02T14:53:53.081854Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 8892 entries, 0 to 10357\n",
      "Data columns (total 14 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   App              8892 non-null   object \n",
      " 1   Category         8892 non-null   object \n",
      " 2   Rating           8892 non-null   float64\n",
      " 3   Reviews          8892 non-null   object \n",
      " 4   Size             8892 non-null   object \n",
      " 5   Installs         8892 non-null   object \n",
      " 6   Type             8892 non-null   object \n",
      " 7   Price            8892 non-null   object \n",
      " 8   Content Rating   8892 non-null   object \n",
      " 9   Genres           8892 non-null   object \n",
      " 10  Last Updated     8892 non-null   object \n",
      " 11  Current Ver      8888 non-null   object \n",
      " 12  Android Ver      8890 non-null   object \n",
      " 13  Rating_category  8892 non-null   object \n",
      "dtypes: float64(1), object(13)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a1f95631",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:32.609798Z",
     "start_time": "2024-02-04T02:58:32.604480Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Rating'].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7944720a",
   "metadata": {},
   "source": [
    "### 7. Check the distribution of the newly created column 'Rating_category' and comment on the distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f75182e6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:34.751114Z",
     "start_time": "2024-02-04T02:58:34.674411Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rating_category\n",
       "High    8012\n",
       "Low      880\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Rating_category'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9b137d3",
   "metadata": {},
   "source": [
    "__The dataset displays an imbalance in the 'Rating_category,' with a substantial number categorized as 'High' and a notably smaller count for 'Low,' which can impact model training, particularly in machine learning, leading to potential biases towards the majority class in classification tasks.__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfc61b3f",
   "metadata": {},
   "source": [
    "### 8. Convert the column \"Reviews'' to numeric data type and check the presence of outliers in the column and handle the outliers using a transformation approach.(Hint: Use log transformation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0bd57c2d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:38.191304Z",
     "start_time": "2024-02-04T02:58:38.177804Z"
    }
   },
   "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>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "      <th>Rating_category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159.0</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967.0</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510.0</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644.0</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967.0</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App        Category  Rating  \\\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
       "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
       "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
       "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
       "\n",
       "    Reviews  Size     Installs  Type Price Content Rating  \\\n",
       "0     159.0   19M      10,000+  Free     0       Everyone   \n",
       "1     967.0   14M     500,000+  Free     0       Everyone   \n",
       "2   87510.0  8.7M   5,000,000+  Free     0       Everyone   \n",
       "3  215644.0   25M  50,000,000+  Free     0           Teen   \n",
       "4     967.0  2.8M     100,000+  Free     0       Everyone   \n",
       "\n",
       "                      Genres      Last Updated         Current Ver  \\\n",
       "0               Art & Design   January 7, 2018               1.0.0   \n",
       "1  Art & Design;Pretend Play  January 15, 2018               2.0.0   \n",
       "2               Art & Design    August 1, 2018               1.2.4   \n",
       "3               Art & Design      June 8, 2018  Varies with device   \n",
       "4    Art & Design;Creativity     June 20, 2018                 1.1   \n",
       "\n",
       "    Android Ver Rating_category  \n",
       "0  4.0.3 and up            High  \n",
       "1  4.0.3 and up            High  \n",
       "2  4.0.3 and up            High  \n",
       "3    4.2 and up            High  \n",
       "4    4.4 and up            High  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'] = df['Reviews'].astype(float)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "52a08668",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:42.397063Z",
     "start_time": "2024-02-04T02:58:42.390440Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.59000e+02, 9.67000e+02, 8.75100e+04, ..., 6.03000e+02,\n",
       "       1.19500e+03, 3.98307e+05])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4f527709",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:43.973788Z",
     "start_time": "2024-02-04T02:58:43.967875Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4ae85abf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:52.814734Z",
     "start_time": "2024-02-04T02:58:51.331141Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Reviews'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15, 6))\n",
    "sns.boxplot(x=df['Reviews'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "90af4c98",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:55.240053Z",
     "start_time": "2024-02-04T02:58:55.235198Z"
    }
   },
   "outputs": [],
   "source": [
    "def outliers(col):\n",
    "    \n",
    "    q1, q3 = np.percentile(col, [25, 75])\n",
    "    iqr = q3 - q1\n",
    "    \n",
    "    lw = q1 - 1.5 * iqr\n",
    "    uw = q3 + 1.5 * iqr\n",
    "    \n",
    "    return lw, uw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "07475493",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:58:58.861459Z",
     "start_time": "2024-02-04T02:58:58.855625Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-106490.125, 177920.875)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outliers(df['Reviews'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4d052f2f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:06.509567Z",
     "start_time": "2024-02-04T02:59:06.504575Z"
    }
   },
   "outputs": [],
   "source": [
    "for i in ['Reviews']:\n",
    "    lw, uw = outliers(df[i])\n",
    "    df[i] = np.where(df[i] < lw, lw, df[i])\n",
    "    df[i] = np.where(df[i] > uw, uw, df[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "915563e9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:08.334228Z",
     "start_time": "2024-02-04T02:59:08.216252Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Reviews'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15, 6))\n",
    "sns.boxplot(x=df['Reviews'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "02722ded",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:10.994282Z",
     "start_time": "2024-02-04T02:59:10.709713Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15, 6))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "sns.boxplot(df['Reviews'])\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "sns.boxplot(np.log(df['Reviews']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8b66512",
   "metadata": {},
   "source": [
    "### 9. The column 'Size' contains alphanumeric values, treat the non numeric data and convert the column into suitable data type. (hint: Replace M with 1 million and K with 1 thousand, and drop the entries where size='Varies with device')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e6206075",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:14.997080Z",
     "start_time": "2024-02-04T02:59:14.971444Z"
    }
   },
   "outputs": [],
   "source": [
    "df['Size'] = df['Size'].replace(['M', 'k'], ['e6', 'e3'], regex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "59b574e5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:16.470624Z",
     "start_time": "2024-02-04T02:59:16.464859Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['19e6', '14e6', '8.7e6', '25e6', '2.8e6', '5.6e6', '29e6', '33e6',\n",
       "       '3.1e6', '28e6', '12e6', '20e6', '21e6', '37e6', '2.7e6', '5.5e6',\n",
       "       '17e6', '39e6', '31e6', '4.2e6', '23e6', '6.0e6', '6.1e6', '4.6e6',\n",
       "       '9.2e6', '5.2e6', '11e6', '24e6', 'Varies with device', '9.4e6',\n",
       "       '15e6', '10e6', '1.2e6', '26e6', '8.0e6', '7.9e6', '56e6', '57e6',\n",
       "       '35e6', '54e6', '201e3', '3.6e6', '5.7e6', '8.6e6', '2.4e6',\n",
       "       '27e6', '2.5e6', '7.0e6', '16e6', '3.4e6', '8.9e6', '3.9e6',\n",
       "       '2.9e6', '38e6', '32e6', '5.4e6', '18e6', '1.1e6', '2.2e6',\n",
       "       '4.5e6', '9.8e6', '52e6', '9.0e6', '6.7e6', '30e6', '2.6e6',\n",
       "       '7.1e6', '22e6', '6.4e6', '3.2e6', '8.2e6', '4.9e6', '9.5e6',\n",
       "       '5.0e6', '5.9e6', '13e6', '73e6', '6.8e6', '3.5e6', '4.0e6',\n",
       "       '2.3e6', '2.1e6', '42e6', '9.1e6', '55e6', '23e3', '7.3e6',\n",
       "       '6.5e6', '1.5e6', '7.5e6', '51e6', '41e6', '48e6', '8.5e6', '46e6',\n",
       "       '8.3e6', '4.3e6', '4.7e6', '3.3e6', '40e6', '7.8e6', '8.8e6',\n",
       "       '6.6e6', '5.1e6', '61e6', '66e6', '79e3', '8.4e6', '3.7e6',\n",
       "       '118e3', '44e6', '695e3', '1.6e6', '6.2e6', '53e6', '1.4e6',\n",
       "       '3.0e6', '7.2e6', '5.8e6', '3.8e6', '9.6e6', '45e6', '63e6',\n",
       "       '49e6', '77e6', '4.4e6', '70e6', '9.3e6', '8.1e6', '36e6', '6.9e6',\n",
       "       '7.4e6', '84e6', '97e6', '2.0e6', '1.9e6', '1.8e6', '5.3e6',\n",
       "       '47e6', '556e3', '526e3', '76e6', '7.6e6', '59e6', '9.7e6', '78e6',\n",
       "       '72e6', '43e6', '7.7e6', '6.3e6', '334e3', '93e6', '65e6', '79e6',\n",
       "       '100e6', '58e6', '50e6', '68e6', '64e6', '34e6', '67e6', '60e6',\n",
       "       '94e6', '9.9e6', '232e3', '99e6', '624e3', '95e6', '8.5e3', '41e3',\n",
       "       '292e3', '11e3', '80e6', '1.7e6', '10.0e6', '74e6', '62e6', '69e6',\n",
       "       '75e6', '98e6', '85e6', '82e6', '96e6', '87e6', '71e6', '86e6',\n",
       "       '91e6', '81e6', '92e6', '83e6', '88e6', '704e3', '862e3', '899e3',\n",
       "       '378e3', '4.8e6', '266e3', '375e3', '1.3e6', '975e3', '980e3',\n",
       "       '4.1e6', '89e6', '696e3', '544e3', '525e3', '920e3', '779e3',\n",
       "       '853e3', '720e3', '713e3', '772e3', '318e3', '58e3', '241e3',\n",
       "       '196e3', '857e3', '51e3', '953e3', '865e3', '251e3', '930e3',\n",
       "       '540e3', '313e3', '746e3', '203e3', '26e3', '314e3', '239e3',\n",
       "       '371e3', '220e3', '730e3', '756e3', '91e3', '293e3', '17e3',\n",
       "       '74e3', '14e3', '317e3', '78e3', '924e3', '818e3', '81e3', '939e3',\n",
       "       '169e3', '45e3', '965e3', '90e6', '545e3', '61e3', '283e3',\n",
       "       '655e3', '714e3', '93e3', '872e3', '121e3', '322e3', '976e3',\n",
       "       '206e3', '954e3', '444e3', '717e3', '210e3', '609e3', '308e3',\n",
       "       '306e3', '175e3', '350e3', '383e3', '454e3', '1.0e6', '70e3',\n",
       "       '812e3', '442e3', '842e3', '417e3', '412e3', '459e3', '478e3',\n",
       "       '335e3', '782e3', '721e3', '430e3', '429e3', '192e3', '460e3',\n",
       "       '728e3', '496e3', '816e3', '414e3', '506e3', '887e3', '613e3',\n",
       "       '778e3', '683e3', '592e3', '186e3', '840e3', '647e3', '373e3',\n",
       "       '437e3', '598e3', '716e3', '585e3', '982e3', '219e3', '55e3',\n",
       "       '323e3', '691e3', '511e3', '951e3', '963e3', '25e3', '554e3',\n",
       "       '351e3', '27e3', '82e3', '208e3', '551e3', '29e3', '103e3',\n",
       "       '116e3', '153e3', '209e3', '499e3', '173e3', '597e3', '809e3',\n",
       "       '122e3', '411e3', '400e3', '801e3', '787e3', '50e3', '643e3',\n",
       "       '986e3', '516e3', '837e3', '780e3', '20e3', '498e3', '600e3',\n",
       "       '656e3', '221e3', '228e3', '176e3', '34e3', '259e3', '164e3',\n",
       "       '458e3', '629e3', '28e3', '288e3', '775e3', '785e3', '636e3',\n",
       "       '916e3', '994e3', '309e3', '485e3', '914e3', '903e3', '608e3',\n",
       "       '500e3', '54e3', '562e3', '847e3', '948e3', '811e3', '270e3',\n",
       "       '48e3', '523e3', '784e3', '280e3', '24e3', '892e3', '154e3',\n",
       "       '18e3', '33e3', '860e3', '364e3', '387e3', '626e3', '161e3',\n",
       "       '879e3', '39e3', '170e3', '141e3', '160e3', '144e3', '143e3',\n",
       "       '190e3', '376e3', '193e3', '473e3', '246e3', '73e3', '253e3',\n",
       "       '957e3', '420e3', '72e3', '404e3', '470e3', '226e3', '240e3',\n",
       "       '89e3', '234e3', '257e3', '861e3', '467e3', '676e3', '552e3',\n",
       "       '582e3', '619e3'], dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Size'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9bc419cd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:19.964753Z",
     "start_time": "2024-02-04T02:59:19.960328Z"
    }
   },
   "outputs": [],
   "source": [
    "df['Size'] = df['Size'].replace('Varies with device', np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "39ec4b28",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:22.094344Z",
     "start_time": "2024-02-04T02:59:22.022088Z"
    }
   },
   "outputs": [],
   "source": [
    "df.dropna(subset=['Size'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "236850ac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:23.853618Z",
     "start_time": "2024-02-04T02:59:23.843990Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Size'].str.contains('nan').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d7500365",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:25.930940Z",
     "start_time": "2024-02-04T02:59:25.857850Z"
    }
   },
   "outputs": [],
   "source": [
    "df['Size'] = pd.to_numeric(df['Size'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2bced66d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:27.526795Z",
     "start_time": "2024-02-04T02:59:27.319894Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 7424 entries, 0 to 10357\n",
      "Data columns (total 14 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   App              7424 non-null   object \n",
      " 1   Category         7424 non-null   object \n",
      " 2   Rating           7424 non-null   float64\n",
      " 3   Reviews          7424 non-null   float64\n",
      " 4   Size             7424 non-null   float64\n",
      " 5   Installs         7424 non-null   object \n",
      " 6   Type             7424 non-null   object \n",
      " 7   Price            7424 non-null   object \n",
      " 8   Content Rating   7424 non-null   object \n",
      " 9   Genres           7424 non-null   object \n",
      " 10  Last Updated     7424 non-null   object \n",
      " 11  Current Ver      7420 non-null   object \n",
      " 12  Android Ver      7422 non-null   object \n",
      " 13  Rating_category  7424 non-null   object \n",
      "dtypes: float64(3), object(11)\n",
      "memory usage: 870.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "c81c0bd6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:31.937130Z",
     "start_time": "2024-02-04T02:59:31.928528Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                0\n",
       "Category           0\n",
       "Rating             0\n",
       "Reviews            0\n",
       "Size               0\n",
       "Installs           0\n",
       "Type               0\n",
       "Price              0\n",
       "Content Rating     0\n",
       "Genres             0\n",
       "Last Updated       0\n",
       "Current Ver        4\n",
       "Android Ver        2\n",
       "Rating_category    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20183f39",
   "metadata": {},
   "source": [
    "### 10. Check the column 'Installs', treat the unwanted characters and convert the column into a suitable data type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5a2470ba",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:35.159763Z",
     "start_time": "2024-02-04T02:59:35.154541Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['10,000+', '500,000+', '5,000,000+', '50,000,000+', '100,000+',\n",
       "       '50,000+', '1,000,000+', '10,000,000+', '5,000+', '100,000,000+',\n",
       "       '1,000+', '500,000,000+', '100+', '500+', '10+', '1,000,000,000+',\n",
       "       '5+', '50+', '1+'], dtype=object)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Installs'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cd7cf0f0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:37.191632Z",
     "start_time": "2024-02-04T02:59:37.179846Z"
    }
   },
   "outputs": [],
   "source": [
    "df['Installs'] = df['Installs'].str.replace('[^\\d]', '', regex=True).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "bb893e49",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T02:59:41.328413Z",
     "start_time": "2024-02-04T02:59:41.323336Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.e+04, 5.e+05, 5.e+06, 5.e+07, 1.e+05, 5.e+04, 1.e+06, 1.e+07,\n",
       "       5.e+03, 1.e+08, 1.e+03, 5.e+08, 1.e+02, 5.e+02, 1.e+01, 1.e+09,\n",
       "       5.e+00, 5.e+01, 1.e+00])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Installs'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2c1a943c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:26:53.385964Z",
     "start_time": "2024-02-04T03:26:53.374868Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 7424 entries, 0 to 10357\n",
      "Data columns (total 14 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   App              7424 non-null   object \n",
      " 1   Category         7424 non-null   object \n",
      " 2   Rating           7424 non-null   float64\n",
      " 3   Reviews          7424 non-null   float64\n",
      " 4   Size             7424 non-null   float64\n",
      " 5   Installs         7424 non-null   float64\n",
      " 6   Type             7424 non-null   object \n",
      " 7   Price            7424 non-null   object \n",
      " 8   Content Rating   7424 non-null   object \n",
      " 9   Genres           7424 non-null   object \n",
      " 10  Last Updated     7424 non-null   object \n",
      " 11  Current Ver      7420 non-null   object \n",
      " 12  Android Ver      7422 non-null   object \n",
      " 13  Rating_category  7424 non-null   object \n",
      "dtypes: float64(4), object(10)\n",
      "memory usage: 870.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6a9918ed",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:26:55.747395Z",
     "start_time": "2024-02-04T03:26:55.733649Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Installs'].isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fff6f296",
   "metadata": {},
   "source": [
    "###  11. Check the column 'Price' , remove the unwanted characters and convert the column into a suitable data type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "712256d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:26:58.148532Z",
     "start_time": "2024-02-04T03:26:58.142972Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', '$4.99', '$6.99', '$7.99', '$3.99', '$5.99', '$2.99', '$1.99',\n",
       "       '$9.99', '$0.99', '$9.00', '$5.49', '$10.00', '$24.99', '$11.99',\n",
       "       '$79.99', '$16.99', '$14.99', '$29.99', '$12.99', '$3.49',\n",
       "       '$10.99', '$7.49', '$1.50', '$19.99', '$15.99', '$33.99', '$39.99',\n",
       "       '$2.49', '$4.49', '$1.70', '$1.49', '$3.88', '$399.99', '$17.99',\n",
       "       '$400.00', '$3.02', '$1.76', '$4.84', '$4.77', '$1.61', '$1.59',\n",
       "       '$6.49', '$1.29', '$299.99', '$379.99', '$37.99', '$18.99',\n",
       "       '$389.99', '$8.49', '$1.75', '$14.00', '$2.00', '$3.08', '$2.59',\n",
       "       '$19.40', '$15.46', '$8.99', '$3.04', '$13.99', '$4.29', '$3.28',\n",
       "       '$4.60', '$1.00', '$2.90', '$1.97', '$2.56', '$1.20'], dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Price'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "0e2ba369",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:27:00.969643Z",
     "start_time": "2024-02-04T03:27:00.960664Z"
    }
   },
   "outputs": [],
   "source": [
    "df['Price'] = df['Price'].str.replace('[^\\d.]', '', regex=True).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d3a4ff43",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:27:03.395795Z",
     "start_time": "2024-02-04T03:27:03.390497Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0.  ,   4.99,   6.99,   7.99,   3.99,   5.99,   2.99,   1.99,\n",
       "         9.99,   0.99,   9.  ,   5.49,  10.  ,  24.99,  11.99,  79.99,\n",
       "        16.99,  14.99,  29.99,  12.99,   3.49,  10.99,   7.49,   1.5 ,\n",
       "        19.99,  15.99,  33.99,  39.99,   2.49,   4.49,   1.7 ,   1.49,\n",
       "         3.88, 399.99,  17.99, 400.  ,   3.02,   1.76,   4.84,   4.77,\n",
       "         1.61,   1.59,   6.49,   1.29, 299.99, 379.99,  37.99,  18.99,\n",
       "       389.99,   8.49,   1.75,  14.  ,   2.  ,   3.08,   2.59,  19.4 ,\n",
       "        15.46,   8.99,   3.04,  13.99,   4.29,   3.28,   4.6 ,   1.  ,\n",
       "         2.9 ,   1.97,   2.56,   1.2 ])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Price'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "366c079c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:27:06.088837Z",
     "start_time": "2024-02-04T03:27:06.082571Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "Index: 7424 entries, 0 to 10357\n",
      "Series name: Price\n",
      "Non-Null Count  Dtype  \n",
      "--------------  -----  \n",
      "7424 non-null   float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 116.0 KB\n"
     ]
    }
   ],
   "source": [
    "df['Price'].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "632293cb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:27:08.664928Z",
     "start_time": "2024-02-04T03:27:08.658980Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Price'].isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5433374",
   "metadata": {},
   "source": [
    "### 12. Drop the columns which you think redundant for the analysis.(suggestion: drop column 'rating', since we created a new feature from it (i.e. rating_category) and the columns 'App', 'Rating' ,'Genres','Last Updated', 'Current Ver','Android Ver' columns since which are redundant for our analysis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "06346a22",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:50:30.495693Z",
     "start_time": "2024-02-04T03:50:30.488568Z"
    }
   },
   "outputs": [],
   "source": [
    "App = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "d2644188",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:44:57.701279Z",
     "start_time": "2024-02-04T03:44:57.693684Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Type\n",
      "Free    6877\n",
      "Paid     547\n",
      "Name: count, dtype: int64\n",
      "**************************************************\n",
      "Content Rating\n",
      "Everyone           5958\n",
      "Teen                832\n",
      "Mature 17+          332\n",
      "Everyone 10+        299\n",
      "Adults only 18+       2\n",
      "Unrated               1\n",
      "Name: count, dtype: int64\n",
      "**************************************************\n",
      "Rating_category\n",
      "High    6599\n",
      "Low      825\n",
      "Name: count, dtype: int64\n",
      "**************************************************\n"
     ]
    }
   ],
   "source": [
    "for i in ['Type','Content Rating','Rating_category']:\n",
    "    print(App[i].value_counts())\n",
    "    print('*'*50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "349ddae9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:50:33.527217Z",
     "start_time": "2024-02-04T03:50:33.522643Z"
    }
   },
   "outputs": [],
   "source": [
    "App.drop(columns=['App','Category', 'Rating', 'Genres', 'Last Updated', 'Current Ver', 'Android Ver'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "4ab0c935",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:48:36.307406Z",
     "start_time": "2024-02-04T03:48:36.299435Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 7424 entries, 0 to 10357\n",
      "Data columns (total 7 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Reviews          7424 non-null   float64\n",
      " 1   Size             7424 non-null   float64\n",
      " 2   Installs         7424 non-null   float64\n",
      " 3   Type             7424 non-null   object \n",
      " 4   Price            7424 non-null   float64\n",
      " 5   Content Rating   7424 non-null   object \n",
      " 6   Rating_category  7424 non-null   object \n",
      "dtypes: float64(4), object(3)\n",
      "memory usage: 464.0+ KB\n"
     ]
    }
   ],
   "source": [
    "App.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "a540d99f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:48:38.713491Z",
     "start_time": "2024-02-04T03:48:38.708178Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "App['Content Rating'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "66a764fb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T03:54:24.862712Z",
     "start_time": "2024-02-04T03:54:24.853757Z"
    }
   },
   "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>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Rating_category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>159.0</td>\n",
       "      <td>19000000.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>967.0</td>\n",
       "      <td>14000000.0</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>87510.0</td>\n",
       "      <td>8700000.0</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reviews        Size   Installs  Type  Price Content Rating Rating_category\n",
       "0    159.0  19000000.0    10000.0  Free    0.0       Everyone            High\n",
       "1    967.0  14000000.0   500000.0  Free    0.0       Everyone            High\n",
       "2  87510.0   8700000.0  5000000.0  Free    0.0       Everyone            High"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "App.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f11c98e9",
   "metadata": {},
   "source": [
    "### 13. Encode the categorical columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "696323d4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:05:58.926530Z",
     "start_time": "2024-02-04T04:05:58.891590Z"
    }
   },
   "outputs": [],
   "source": [
    "dummies = pd.get_dummies(App, columns=['Type'])\n",
    "dummies['Rating_category'] = dummies['Rating_category'].replace(['Low','High'], ['0', '1'], regex=True).astype('int64')\n",
    "dummies = pd.get_dummies(dummies,columns=['Content Rating'], drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "5c8a65e5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:06.205584Z",
     "start_time": "2024-02-04T04:06:06.183708Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 7424 entries, 0 to 10357\n",
      "Data columns (total 11 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   Reviews                      7424 non-null   float64\n",
      " 1   Size                         7424 non-null   float64\n",
      " 2   Installs                     7424 non-null   float64\n",
      " 3   Price                        7424 non-null   float64\n",
      " 4   Rating_category              7424 non-null   int64  \n",
      " 5   Type_Free                    7424 non-null   bool   \n",
      " 6   Type_Paid                    7424 non-null   bool   \n",
      " 7   Content Rating_Everyone      7424 non-null   bool   \n",
      " 8   Content Rating_Everyone 10+  7424 non-null   bool   \n",
      " 9   Content Rating_Mature 17+    7424 non-null   bool   \n",
      " 10  Content Rating_Teen          7424 non-null   bool   \n",
      "dtypes: bool(6), float64(4), int64(1)\n",
      "memory usage: 391.5 KB\n"
     ]
    }
   ],
   "source": [
    "# Unrated:1 if we use this column mean it well get nan in the summary so that why we removeing\n",
    "dummies.drop(columns=['Content Rating_Unrated'], inplace=True)\n",
    "dummies.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fb4e1f3",
   "metadata": {},
   "source": [
    "### 14. Segregate the target and independent features (Hint: Use Rating_category as the target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "e903aae5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:08.296869Z",
     "start_time": "2024-02-04T04:06:08.292687Z"
    }
   },
   "outputs": [],
   "source": [
    "X = dummies.drop('Rating_category', axis=1)\n",
    "y = dummies['Rating_category']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "3f8a7872",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:10.271281Z",
     "start_time": "2024-02-04T04:06:10.263813Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 7424 entries, 0 to 10357\n",
      "Data columns (total 10 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   Reviews                      7424 non-null   float64\n",
      " 1   Size                         7424 non-null   float64\n",
      " 2   Installs                     7424 non-null   float64\n",
      " 3   Price                        7424 non-null   float64\n",
      " 4   Type_Free                    7424 non-null   bool   \n",
      " 5   Type_Paid                    7424 non-null   bool   \n",
      " 6   Content Rating_Everyone      7424 non-null   bool   \n",
      " 7   Content Rating_Everyone 10+  7424 non-null   bool   \n",
      " 8   Content Rating_Mature 17+    7424 non-null   bool   \n",
      " 9   Content Rating_Teen          7424 non-null   bool   \n",
      "dtypes: bool(6), float64(4)\n",
      "memory usage: 333.5 KB\n"
     ]
    }
   ],
   "source": [
    "X.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10055bf6",
   "metadata": {},
   "source": [
    "### 15. Split the dataset into train and test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "b8f411aa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:13.334492Z",
     "start_time": "2024-02-04T04:06:13.328412Z"
    }
   },
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c79673c",
   "metadata": {},
   "source": [
    "### 16. Standardize the data, so that the values are within a particular range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "64eff695",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:15.335589Z",
     "start_time": "2024-02-04T04:06:15.331165Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Reviews', 'Size', 'Installs', 'Price', 'Type_Free', 'Type_Paid',\n",
       "       'Content Rating_Everyone', 'Content Rating_Everyone 10+',\n",
       "       'Content Rating_Mature 17+', 'Content Rating_Teen'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "aed5028e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:18.755881Z",
     "start_time": "2024-02-04T04:06:18.746292Z"
    },
    "scrolled": true
   },
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    {
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       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2888</th>\n",
       "      <td>12388.000</td>\n",
       "      <td>5300000.0</td>\n",
       "      <td>1000000.0</td>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "         Reviews        Size    Installs  Price  Type_Free  Type_Paid  \\\n",
       "6333     158.000  26000000.0     50000.0    0.0       True      False   \n",
       "391   177920.875  11000000.0  10000000.0    0.0       True      False   \n",
       "2888   12388.000   5300000.0   1000000.0    0.0       True      False   \n",
       "\n",
       "      Content Rating_Everyone  Content Rating_Everyone 10+  \\\n",
       "6333                    False                        False   \n",
       "391                      True                        False   \n",
       "2888                     True                        False   \n",
       "\n",
       "      Content Rating_Mature 17+  Content Rating_Teen  \n",
       "6333                       True                False  \n",
       "391                       False                False  \n",
       "2888                      False                False  "
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.head(3)"
   ]
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     "start_time": "2024-02-04T04:06:20.486107Z"
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   },
   "outputs": [
    {
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>74.000</td>\n",
       "      <td>2900000.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "         Reviews        Size   Installs  Price  Type_Free  Type_Paid  \\\n",
       "1650  177920.875  81000000.0  5000000.0    0.0       True      False   \n",
       "3960      80.000   7600000.0    10000.0    0.0       True      False   \n",
       "116       74.000   2900000.0    10000.0    0.0       True      False   \n",
       "\n",
       "      Content Rating_Everyone  Content Rating_Everyone 10+  \\\n",
       "1650                    False                        False   \n",
       "3960                     True                        False   \n",
       "116                      True                        False   \n",
       "\n",
       "      Content Rating_Mature 17+  Content Rating_Teen  \n",
       "1650                      False                 True  \n",
       "3960                      False                False  \n",
       "116                       False                False  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " x_test.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "7e6a6837",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:23.025283Z",
     "start_time": "2024-02-04T04:06:23.022019Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "e318e08b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:24.760600Z",
     "start_time": "2024-02-04T04:06:24.747043Z"
    }
   },
   "outputs": [],
   "source": [
    "## Scaling the data\n",
    "ss = StandardScaler()\n",
    "x_train.iloc[:,:4] = ss.fit_transform(x_train.iloc[:,:4])\n",
    "x_test.iloc[:,:4] = ss.transform(x_test.iloc[:,:4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "151cefaf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T04:06:33.364419Z",
     "start_time": "2024-02-04T04:06:33.355446Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>False</td>\n",
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       "      <th>2888</th>\n",
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      "text/plain": [
       "       Reviews      Size  Installs    Price  Type_Free  Type_Paid  \\\n",
       "6333 -0.589114  0.139069 -0.167366 -0.06402       True      False   \n",
       "391   2.276781 -0.500747  0.045809 -0.06402       True      False   \n",
       "2888 -0.391942 -0.743878 -0.147012 -0.06402       True      False   \n",
       "\n",
       "      Content Rating_Everyone  Content Rating_Everyone 10+  \\\n",
       "6333                    False                        False   \n",
       "391                      True                        False   \n",
       "2888                     True                        False   \n",
       "\n",
       "      Content Rating_Mature 17+  Content Rating_Teen  \n",
       "6333                       True                False  \n",
       "391                       False                False  \n",
       "2888                      False                False  "
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.head(3)"
   ]
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  {
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   "execution_count": 152,
   "id": "e31ee60c",
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     "end_time": "2024-02-04T04:06:44.344459Z",
     "start_time": "2024-02-04T04:06:44.335623Z"
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   "outputs": [
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3960</th>\n",
       "      <td>-0.590372</td>\n",
       "      <td>-0.645772</td>\n",
       "      <td>-0.168223</td>\n",
       "      <td>-0.06402</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>-0.590469</td>\n",
       "      <td>-0.846248</td>\n",
       "      <td>-0.168223</td>\n",
       "      <td>-0.06402</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Reviews      Size  Installs    Price  Type_Free  Type_Paid  \\\n",
       "1650  2.276781  2.485063 -0.061314 -0.06402       True      False   \n",
       "3960 -0.590372 -0.645772 -0.168223 -0.06402       True      False   \n",
       "116  -0.590469 -0.846248 -0.168223 -0.06402       True      False   \n",
       "\n",
       "      Content Rating_Everyone  Content Rating_Everyone 10+  \\\n",
       "1650                    False                        False   \n",
       "3960                     True                        False   \n",
       "116                      True                        False   \n",
       "\n",
       "      Content Rating_Mature 17+  Content Rating_Teen  \n",
       "1650                      False                 True  \n",
       "3960                      False                False  \n",
       "116                       False                False  "
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " x_test.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7139fc17",
   "metadata": {},
   "source": [
    "## ___________________________________________________________________________"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3754e2d8",
   "metadata": {},
   "source": [
    "## <font color='blue'>PART II:</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d058904",
   "metadata": {},
   "source": [
    "## <font color='blue'>Domain: Food and agriculture</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91c2abf9",
   "metadata": {},
   "source": [
    "### 1. Import required libraries and read the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b2ab2ef5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T06:44:28.079368Z",
     "start_time": "2024-02-04T06:44:00.337032Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3328066f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T06:44:28.721166Z",
     "start_time": "2024-02-04T06:44:28.091493Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('honeyproduction.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fcdc4dc",
   "metadata": {},
   "source": [
    "### 2. Check the first few samples, shape, info of the data and try to familiarize yourself with different features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8b3f8f0b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T06:45:16.618184Z",
     "start_time": "2024-02-04T06:45:16.421934Z"
    }
   },
   "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>state</th>\n",
       "      <th>numcol</th>\n",
       "      <th>yieldpercol</th>\n",
       "      <th>totalprod</th>\n",
       "      <th>stocks</th>\n",
       "      <th>priceperlb</th>\n",
       "      <th>prodvalue</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AL</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>71</td>\n",
       "      <td>1136000.0</td>\n",
       "      <td>159000.0</td>\n",
       "      <td>0.72</td>\n",
       "      <td>818000.0</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AZ</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>60</td>\n",
       "      <td>3300000.0</td>\n",
       "      <td>1485000.0</td>\n",
       "      <td>0.64</td>\n",
       "      <td>2112000.0</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AR</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>65</td>\n",
       "      <td>3445000.0</td>\n",
       "      <td>1688000.0</td>\n",
       "      <td>0.59</td>\n",
       "      <td>2033000.0</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CA</td>\n",
       "      <td>450000.0</td>\n",
       "      <td>83</td>\n",
       "      <td>37350000.0</td>\n",
       "      <td>12326000.0</td>\n",
       "      <td>0.62</td>\n",
       "      <td>23157000.0</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CO</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>72</td>\n",
       "      <td>1944000.0</td>\n",
       "      <td>1594000.0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1361000.0</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  state    numcol  yieldpercol   totalprod      stocks  priceperlb  \\\n",
       "0    AL   16000.0           71   1136000.0    159000.0        0.72   \n",
       "1    AZ   55000.0           60   3300000.0   1485000.0        0.64   \n",
       "2    AR   53000.0           65   3445000.0   1688000.0        0.59   \n",
       "3    CA  450000.0           83  37350000.0  12326000.0        0.62   \n",
       "4    CO   27000.0           72   1944000.0   1594000.0        0.70   \n",
       "\n",
       "    prodvalue  year  \n",
       "0    818000.0  1998  \n",
       "1   2112000.0  1998  \n",
       "2   2033000.0  1998  \n",
       "3  23157000.0  1998  \n",
       "4   1361000.0  1998  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ad4c7c28",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T06:45:27.002700Z",
     "start_time": "2024-02-04T06:45:26.998212Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(626, 8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a43cadcc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T06:45:37.592183Z",
     "start_time": "2024-02-04T06:45:37.305796Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 626 entries, 0 to 625\n",
      "Data columns (total 8 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   state        626 non-null    object \n",
      " 1   numcol       626 non-null    float64\n",
      " 2   yieldpercol  626 non-null    int64  \n",
      " 3   totalprod    626 non-null    float64\n",
      " 4   stocks       626 non-null    float64\n",
      " 5   priceperlb   626 non-null    float64\n",
      " 6   prodvalue    626 non-null    float64\n",
      " 7   year         626 non-null    int64  \n",
      "dtypes: float64(5), int64(2), object(1)\n",
      "memory usage: 39.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aad8cd5",
   "metadata": {},
   "source": [
    "__The dataset comprises 626 entries and 8 columns, including 5 columns with float64 data type, 2 columns with int64 data type, and 1 column with object data type. Importantly, there are no missing values present in this dataset.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2f0253a0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T06:46:10.262018Z",
     "start_time": "2024-02-04T06:46:10.228629Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "state\n",
      "AL    15\n",
      "SD    15\n",
      "NJ    15\n",
      "NM    15\n",
      "NY    15\n",
      "NC    15\n",
      "ND    15\n",
      "OH    15\n",
      "OR    15\n",
      "PA    15\n",
      "TN    15\n",
      "MT    15\n",
      "TX    15\n",
      "UT    15\n",
      "VT    15\n",
      "VA    15\n",
      "WA    15\n",
      "WV    15\n",
      "WI    15\n",
      "WY    15\n",
      "AZ    15\n",
      "NE    15\n",
      "MO    15\n",
      "IN    15\n",
      "AR    15\n",
      "CA    15\n",
      "CO    15\n",
      "FL    15\n",
      "GA    15\n",
      "HI    15\n",
      "ID    15\n",
      "IL    15\n",
      "IA    15\n",
      "KS    15\n",
      "KY    15\n",
      "LA    15\n",
      "ME    15\n",
      "MI    15\n",
      "MN    15\n",
      "MS    15\n",
      "NV    11\n",
      "OK     6\n",
      "MD     6\n",
      "SC     3\n",
      "Name: count, dtype: int64\n",
      "**************************************************\n",
      "year\n",
      "2001    44\n",
      "2002    44\n",
      "2003    44\n",
      "1998    43\n",
      "1999    43\n",
      "2000    43\n",
      "2004    41\n",
      "2005    41\n",
      "2006    41\n",
      "2007    41\n",
      "2008    41\n",
      "2009    40\n",
      "2010    40\n",
      "2011    40\n",
      "2012    40\n",
      "Name: count, dtype: int64\n",
      "**************************************************\n"
     ]
    }
   ],
   "source": [
    "for i in ['state','year']:\n",
    "    print(df[i].value_counts())\n",
    "    print('*'*50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4f20f4c2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T08:06:46.181077Z",
     "start_time": "2024-02-04T08:06:45.950764Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AL' 'AZ' 'AR' 'CA' 'CO' 'FL' 'GA' 'HI' 'ID' 'IL' 'IN' 'IA' 'KS' 'KY'\n",
      " 'LA' 'ME' 'MD' 'MI' 'MN' 'MS' 'MO' 'MT' 'NE' 'NV' 'NJ' 'NM' 'NY' 'NC'\n",
      " 'ND' 'OH' 'OK' 'OR' 'PA' 'SD' 'TN' 'TX' 'UT' 'VT' 'VA' 'WA' 'WV' 'WI'\n",
      " 'WY' 'SC']\n",
      "**************************************************\n",
      "[1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011\n",
      " 2012]\n",
      "**************************************************\n",
      "[ 16000.  55000.  53000. 450000.  27000. 230000.  75000.   8000. 120000.\n",
      "   9000.  50000.   3000.  41000.  10000.   7000.  80000. 140000.  18000.\n",
      "  23000. 115000.  64000.  11000.  14000.  65000.   4000.  26000. 225000.\n",
      "  91000.  30000.   6000.  58000.  89000.  46000.  17000.  52000. 465000.\n",
      " 228000.  40000.  13000.  48000.  73000. 145000.  24000. 122000.  15000.\n",
      "  69000. 255000.  20000.  45000.  28000. 224000. 108000.  37000. 440000.\n",
      "  29000. 232000. 100000.  43000.  72000. 150000. 124000. 300000.  25000.\n",
      " 235000. 105000.  84000.  39000. 460000. 220000.  33000.  76000. 135000.\n",
      "  22000. 136000. 280000.  44000.  97000.  67000.  38000.  12000. 470000.\n",
      "   5000.  35000. 117000. 134000.  60000. 320000. 114000.  70000. 480000.\n",
      " 210000.  32000.  34000.   2000.  21000. 340000.  42000. 215000.  74000.\n",
      " 390000. 205000.  63000.  51000. 116000.  56000.  68000.  36000. 400000.\n",
      " 160000.  59000.  95000. 130000. 370000. 380000. 170000. 125000. 132000.\n",
      "  47000. 350000.  82000.  49000.  31000.  92000. 420000. 360000.  90000.\n",
      "  71000.  77000. 355000. 103000.  66000. 146000. 270000.  62000. 410000.\n",
      " 200000. 128000. 157000. 510000. 265000. 180000.  87000. 250000.  78000.\n",
      "  57000. 330000. 193000. 260000.]\n",
      "**************************************************\n",
      "[ 71  60  65  83  72  98  56 118  50  92  78  46 111  26  44  85  79  86\n",
      "  66 122  70  49  55  80  59 128  51  45  95  64  77  58  37  91  68  62\n",
      "  89  76 102  48  81  67 114  22  82  73  52 105  74  57 104  35  39  75\n",
      "  93 112  47  61  94  21  90  88  87 115 121  41  42  54 100 106  20  34\n",
      "  96  40  38  63 136 124  53  33  69  19  31  27 131  97  32  84  23  36\n",
      "  28  43  29 103  30]\n",
      "**************************************************\n",
      "[ 1136000.  3300000.  3445000. 37350000.  1944000. 22540000.  4200000.\n",
      "   944000.  6000000.   639000.   828000.  3900000.   736000.   150000.\n",
      "  4551000.   260000.   308000.  6800000. 11060000.  1548000.  1518000.\n",
      " 14030000.  4480000.   460000.   539000.   770000.  5200000.   472000.\n",
      " 29440000.  1404000.   204000.  2250000.  1716000. 21375000.   448000.\n",
      "  7007000.  1740000.   384000.   296000.  2958000.   330000.  8099000.\n",
      "  2760000.  1156000.  3224000.  4628000. 27900000.  2052000. 23256000.\n",
      "  3315000.   640000.  5760000.   594000.   810000.  2600000.   871000.\n",
      "  5472000.   276000.  6205000. 11890000.  1314000.  1560000.  8540000.\n",
      "  4466000.   405000.   440000.   780000.  4830000.   414000. 26775000.\n",
      "  1480000.   270000.  2565000.  1680000. 23296000.   408000.  8748000.\n",
      "  1170000.   396000.   245000.   234000.  2664000.  1248000.  2360000.\n",
      "  4836000. 30800000. 24360000.  3135000.   784000.  4700000.   488000.\n",
      "   520000.  2010000.  1020000.   192000.  4042000.   231000.  5400000.\n",
      " 13500000.  1224000.  1725000. 10912000.  4350000.   350000.   385000.\n",
      "   960000.  4640000. 34500000.  2448000.  1125000. 28435000.   549000.\n",
      "  8295000.   984000.   413000.   294000.  2808000.   378000.  7560000.\n",
      "  3627000.  1022000.  2537000.  4900000. 28060000.  1430000. 22000000.\n",
      "   696000.  4600000.   456000.   532000.  1683000.   663000.   312000.\n",
      "  4770000.   220000.   184000.  4560000. 10935000.  1122000.  1342000.\n",
      " 13872000.  2064000.   450000.   374000.   700000.  3710000.   572000.\n",
      " 26880000.  1458000.   188000.  1936000.  1482000.   280000. 15275000.\n",
      "  7663000.   874000.   567000.   468000.  2496000.   455000.  5427000.\n",
      "  2926000.  1032000.  2394000.  3960000. 23500000.  1440000. 20460000.\n",
      "   952000.  5700000.   720000.   496000.  2310000.   884000.  4340000.\n",
      "   451000.   138000.  5544000.  8541000.   900000.  8442000.  3225000.\n",
      "   558000.   484000.  5880000.   672000. 24000000.  1260000.   159000.\n",
      "  2107000.  1653000.   470000. 11475000.  7638000.  1298000.   623000.\n",
      "   304000.  2550000.   459000.  6650000.  1066000.  2520000.  3000000.\n",
      " 32160000. 14910000.  3380000.   798000.   420000.  1888000.   912000.\n",
      "   240000.  3060000.   264000.    84000.  4810000.  9960000.  1449000.\n",
      "   901000.  9570000.  3330000.   190000.   246000.  4824000. 29580000.\n",
      "   750000.   141000.  2142000.  1350000. 15050000.  9380000.  1425000.\n",
      "   581000.   222000.  3248000.   376000.  5698000.  3159000.  1044000.\n",
      "  1760000.  2280000. 17550000.  1840000. 20090000.  3087000.   768000.\n",
      "  6300000.  2345000.  1120000.  3430000.   217000.  4355000. 10125000.\n",
      "   656000. 10780000.  4539000.   324000.   352000.  4288000.   360000.\n",
      " 30420000.   928000.  2268000.  1620000. 22575000.  8816000.   266000.\n",
      "  3528000.   495000.  5848000.  2925000.   858000.  1800000.  2484000.\n",
      " 30000000.  1960000. 13760000.  2891000.  1179000.  3515000.   680000.\n",
      "   512000.  2464000.   800000.   250000.  3395000.   208000.  4420000.\n",
      "  8880000.  1280000.  8710000.  2720000.   552000.   343000.  4307000.\n",
      "   540000. 33670000.  1035000.  1638000.  1568000. 17380000.  5964000.\n",
      "  1080000.   546000.  2805000.  5312000.  2240000.   792000.  1950000.\n",
      "  2432000. 19760000.  2700000. 13770000.  4662000.   930000.  4180000.\n",
      "   660000.  2184000.   253000. 10000000.  1372000.   690000. 10428000.\n",
      "  3431000.   333000.   336000.  3712000.   500000. 25900000.  2208000.\n",
      " 10575000.  5740000.  1300000.  2548000.   252000.  5952000.   616000.\n",
      "  1920000. 13600000.  1581000. 11360000.  3480000.   920000.  3772000.\n",
      "   424000.  2106000.   560000.   244000.  2581000.  4608000.  8840000.\n",
      "  1380000.   644000.  9180000.  2205000.   513000.   354000.  3021000.\n",
      " 31080000.   854000.  1978000.  1050000. 13260000.  8610000.  1176000.\n",
      "   320000.  2024000.   288000.  5040000.  3440000.  1600000.  2100000.\n",
      " 18360000.  1215000. 11850000.  4615000.  3600000.   469000.  1488000.\n",
      "   610000.   156000.  3080000.  5183000.  9516000.   583000.  2412000.\n",
      "   290000.  3500000.   624000. 36000000.   742000.  2150000.  1104000.\n",
      "   427000.  4928000.  1344000.  2156000.   258000.  2379000.  1040000.\n",
      "  1368000. 11715000.  1484000. 11560000.  2665000.   950000.  4738000.\n",
      "   272000.  1092000.   175000.  3811000.   300000.  7930000.  1456000.\n",
      "   517000. 10220000.  2688000. 34650000.   550000.  1870000.   840000.\n",
      " 17820000.   357000.  5607000.   988000.  2728000.   185000.  3780000.\n",
      "  1776000.   486000.  1848000.  1500000. 27470000.  1904000. 13800000.\n",
      "  2530000.  2619000.   369000.   430000.  1323000.   335000.  2880000.\n",
      "   205000.  4118000.  8448000. 11618000.  2255000.   462000.   598000.\n",
      " 46410000.  1116000.  2301000.  1110000. 15370000.   504000.  7200000.\n",
      "  2627000.   200000.  4096000.  1219000.  1408000. 17760000.  1705000.\n",
      " 10980000.  2795000.   666000.  3132000.  1550000.  2772000.   120000.\n",
      "  4736000.  6360000.  2070000.   344000. 13340000.  2419000.   392000.\n",
      "  2744000.   868000. 32660000.   990000.  2040000.  1056000. 16500000.\n",
      "  4524000.   897000.   172000.   160000.  2698000.   212000.  3591000.\n",
      "  1890000.   432000.  1012000.  1575000. 11550000.  1200000. 12352000.\n",
      "  3009000.  2944000.  2257000.   255000.  3526000.   136000.  4161000.\n",
      "  8375000.  2124000.   371000.  7540000.  2601000.   507000. 33120000.\n",
      " 16380000.   366000.  4784000.   164000.  2542000.  4140000.]\n",
      "**************************************************\n",
      "[1.5900e+05 1.4850e+06 1.6880e+06 1.2326e+07 1.5940e+06 4.5080e+06\n",
      " 3.0700e+05 6.6000e+04 2.2200e+06 2.0400e+05 4.8900e+05 2.3010e+06\n",
      " 3.9000e+05 5.1000e+04 8.6500e+05 1.1700e+05 9.2000e+04 3.6720e+06\n",
      " 2.7650e+06 8.9800e+05 4.5500e+05 5.4720e+06 2.2400e+06 1.7500e+05\n",
      " 1.6700e+05 4.7000e+05 2.4440e+06 1.5100e+05 8.8320e+06 7.0200e+05\n",
      " 6.3000e+04 1.6200e+06 7.8900e+05 1.0901e+07 1.2100e+05 1.6120e+06\n",
      " 5.5700e+05 2.0700e+05 8.6000e+04 1.3610e+06 1.5500e+05 5.2640e+06\n",
      " 5.2400e+05 1.8500e+05 1.5480e+06 2.5920e+06 9.4860e+06 1.4360e+06\n",
      " 4.1860e+06 4.9700e+05 3.2000e+04 3.1100e+06 3.2700e+05 4.3700e+05\n",
      " 2.0280e+06 8.5400e+05 1.2000e+04 8.2100e+05 8.9000e+04 5.0000e+04\n",
      " 3.4750e+06 3.2100e+06 5.9100e+05 2.1350e+06 1.9650e+06 2.7100e+05\n",
      " 1.5400e+05 4.7600e+05 2.0770e+06 1.0400e+05 8.8360e+06 7.8400e+05\n",
      " 4.9000e+04 2.0260e+06 7.9000e+05 1.3046e+07 1.0600e+05 2.7990e+06\n",
      " 4.3300e+05 2.2200e+05 1.1700e+06 1.5200e+05 4.5600e+06 7.4600e+05\n",
      " 1.8700e+05 1.3220e+06 3.3370e+06 1.1396e+07 9.5700e+05 2.9230e+06\n",
      " 3.7600e+05 1.2500e+05 2.6790e+06 1.4600e+05 2.8600e+05 1.2060e+06\n",
      " 5.2000e+05 5.4000e+04 1.3340e+06 1.4300e+05 5.2000e+04 2.9700e+06\n",
      " 3.1050e+06 6.4900e+05 3.6200e+05 4.6920e+06 2.6100e+06 9.5000e+04\n",
      " 2.0000e+05 7.3900e+05 2.2740e+06 2.4300e+05 1.3800e+07 5.8500e+05\n",
      " 6.4000e+04 1.6650e+06 6.3000e+05 1.2796e+07 2.9860e+06 4.6200e+05\n",
      " 2.1100e+05 1.0300e+05 1.1510e+06 2.3400e+05 4.3850e+06 7.9800e+05\n",
      " 2.3500e+05 1.1420e+06 1.6170e+06 7.8570e+06 5.2900e+05 3.4320e+06\n",
      " 1.8800e+05 8.4000e+04 1.6100e+06 2.5100e+05 1.8600e+05 8.7500e+05\n",
      " 5.3000e+05 5.7200e+05 5.5000e+04 2.8270e+06 1.8590e+06 2.2400e+05\n",
      " 3.3600e+05 4.5780e+06 1.1150e+06 3.6000e+04 7.1000e+04 3.5000e+05\n",
      " 1.7810e+06 1.7200e+05 9.4080e+06 5.6900e+05 1.0500e+05 1.2000e+06\n",
      " 7.8500e+05 6.7000e+04 1.2220e+07 1.3100e+05 1.5330e+06 3.1500e+05\n",
      " 2.4900e+05 9.4000e+04 1.0480e+06 4.1000e+05 3.4190e+06 4.6800e+05\n",
      " 1.1970e+06 8.7100e+05 3.5250e+06 5.7600e+05 2.9000e+04 1.6530e+06\n",
      " 1.3000e+05 2.3300e+05 9.0100e+05 4.0700e+05 7.8000e+04 3.4700e+05\n",
      " 2.6600e+05 2.1000e+04 1.8850e+06 1.1100e+06 2.8100e+05 1.8900e+05\n",
      " 1.0970e+06 1.1610e+06 6.1000e+04 2.5200e+05 2.4700e+06 7.4000e+04\n",
      " 8.1600e+06 5.0400e+05 8.8500e+05 8.2700e+05 1.4000e+04 2.4100e+06\n",
      " 1.3700e+05 9.8500e+05 2.0800e+05 2.7400e+05 7.9000e+04 5.6100e+05\n",
      " 2.4610e+06 3.8300e+05 4.3000e+04 9.8300e+05 8.1000e+05 6.4320e+06\n",
      " 7.2200e+05 1.4910e+06 2.7000e+05 1.3800e+06 8.6800e+05 4.4700e+05\n",
      " 2.7500e+05 1.4500e+05 1.7320e+06 1.8920e+06 2.4600e+05 1.9140e+06\n",
      " 1.2990e+06 4.6000e+04 1.0100e+05 1.0800e+05 1.6400e+06 6.8030e+06\n",
      " 2.7800e+05 6.9000e+04 9.6400e+05 4.1900e+05 8.0000e+03 2.7090e+06\n",
      " 1.1260e+06 1.5700e+05 1.6300e+05 9.4200e+05 1.9400e+05 2.6780e+06\n",
      " 4.7400e+05 2.8200e+05 7.7400e+05 3.8800e+05 5.7920e+06 7.9100e+05\n",
      " 2.0090e+06 6.4800e+05 7.7000e+04 2.5200e+06 1.9300e+05 1.3370e+06\n",
      " 6.8300e+05 3.4000e+04 2.4000e+05 3.7000e+04 2.4390e+06 1.9240e+06\n",
      " 4.2100e+05 3.7730e+06 2.0430e+06 3.1600e+05 4.5000e+04 1.2700e+05\n",
      " 1.8870e+06 7.2000e+04 9.1260e+06 3.5300e+05 1.1110e+06 1.3545e+07\n",
      " 9.1000e+04 1.4110e+06 5.5400e+05 1.9200e+05 1.3760e+06 1.8300e+05\n",
      " 2.6320e+06 3.8000e+05 7.2000e+05 5.7100e+05 9.3000e+06 9.0200e+05\n",
      " 2.4770e+06 4.3400e+05 2.8300e+05 1.7930e+06 4.0800e+05 1.2320e+06\n",
      " 3.2800e+05 4.0000e+04 6.1100e+05 2.5190e+06 1.5980e+06 3.4600e+05\n",
      " 1.8000e+05 3.1360e+06 2.5300e+06 4.4200e+05 1.1300e+05 2.2830e+06\n",
      " 8.4180e+06 5.8000e+05 8.0000e+05 1.1818e+07 9.5400e+05 1.6900e+05\n",
      " 5.9000e+04 1.9350e+06 1.0200e+05 2.9220e+06 2.9100e+05 2.3000e+05\n",
      " 8.3900e+05 7.3000e+05 7.7060e+06 1.4580e+06 1.7900e+06 3.5600e+05\n",
      " 1.4410e+06 7.0000e+04 6.7500e+05 2.0990e+06 3.3000e+06 4.5300e+05\n",
      " 1.9810e+06 3.8430e+06 2.3760e+06 2.1500e+05 7.7700e+06 7.2900e+05\n",
      " 6.0500e+05 1.0575e+07 5.8000e+04 9.7600e+05 2.9900e+05 1.4400e+05\n",
      " 1.1400e+05 1.6050e+06 6.8000e+04 2.5000e+06 2.0900e+05 6.7200e+05\n",
      " 8.3800e+05 1.3630e+06 5.2200e+05 2.8500e+05 1.8480e+06 3.7400e+05\n",
      " 1.1900e+05 1.2210e+06 1.9600e+05 4.1300e+05 2.3500e+06 2.5640e+06\n",
      " 1.6600e+05 1.4800e+05 2.4790e+06 1.4770e+06 1.3800e+05 1.8430e+06\n",
      " 7.6000e+04 9.0130e+06 1.0880e+06 3.2600e+05 1.0608e+07 1.5500e+06\n",
      " 9.6000e+04 3.0240e+06 8.9400e+05 2.1400e+05 5.2500e+05 4.0390e+06\n",
      " 6.5600e+05 1.3040e+06 3.6900e+05 2.2500e+05 1.4400e+06 1.1600e+05\n",
      " 1.5000e+05 1.2800e+05 2.7000e+04 4.9300e+05 2.0210e+06 2.5690e+06\n",
      " 1.1000e+05 4.5960e+06 1.2540e+06 1.2200e+05 1.2600e+06 8.6400e+06\n",
      " 3.7100e+05 2.7600e+05 1.1970e+07 1.4900e+05 2.4200e+05 8.6200e+05\n",
      " 2.3660e+06 3.8100e+05 5.6200e+05 3.0100e+05 2.1090e+06 1.6180e+06\n",
      " 3.2300e+05 1.7060e+06 5.7000e+04 3.3900e+05 1.6400e+05 2.5000e+04\n",
      " 6.1000e+05 1.5050e+06 1.4270e+06 8.7000e+04 3.5770e+06 1.1020e+06\n",
      " 9.3600e+05 7.6230e+06 1.3200e+05 7.6700e+05 3.1900e+05 6.2370e+06\n",
      " 1.0650e+06 1.9800e+05 5.6000e+04 1.0640e+06 3.3000e+04 1.5880e+06\n",
      " 3.9100e+05 7.3000e+04 6.6500e+05 3.6000e+05 6.3180e+06 5.3300e+05\n",
      " 1.7940e+06 2.3900e+05 1.1790e+06 4.6300e+05 2.8800e+05 1.5240e+06\n",
      " 1.7740e+06 2.9050e+06 1.1230e+06 1.2995e+07 8.7400e+05 3.7700e+05\n",
      " 4.7650e+06 7.9200e+05 1.9500e+05 1.0770e+06 1.5560e+06 4.2700e+05\n",
      " 3.7300e+06 4.4300e+05 9.8800e+05 1.8790e+06 9.8000e+04 1.4700e+05\n",
      " 9.6100e+05 4.7100e+05 1.7000e+04 2.0840e+06 3.2020e+06 6.5300e+05\n",
      " 1.3500e+05 1.5300e+05 1.2350e+06 7.5120e+06 2.2800e+05 7.5500e+05\n",
      " 3.0600e+05 4.2900e+06 6.3300e+05 1.7000e+05 8.3600e+05 1.5080e+06\n",
      " 2.6500e+05 6.5000e+04 2.5300e+05 3.1190e+06 1.8100e+05 2.6300e+05\n",
      " 2.0300e+05 1.1960e+06 4.1000e+04 1.4100e+05 2.4000e+04 1.3320e+06\n",
      " 1.5910e+06 2.4130e+06 1.1460e+06 9.9000e+04 5.9620e+06 8.4500e+05\n",
      " 2.6900e+05 3.6040e+06 7.1800e+05 5.3000e+04 2.3000e+04 1.0170e+06\n",
      " 1.8630e+06 4.5900e+05]\n",
      "**************************************************\n",
      "[0.72 0.64 0.59 0.62 0.7  0.69 0.77 0.65 1.19 0.85 0.87 1.4  1.1  0.66\n",
      " 0.58 0.76 0.86 1.65 1.38 0.63 0.83 1.24 0.9  0.8  1.32 1.33 1.14 0.68\n",
      " 0.56 0.53 0.55 1.15 1.11 0.49 1.64 0.61 0.54 0.6  1.54 0.57 1.62 1.34\n",
      " 1.3  1.17 1.09 0.73 0.82 0.52 1.03 0.91 1.35 0.75 1.45 1.43 0.79 1.26\n",
      " 1.5  1.22 0.71 0.67 1.58 0.92 0.96 1.41 1.6  0.81 0.89 2.14 1.48 1.01\n",
      " 0.74 1.39 1.42 1.18 1.08 1.29 1.13 1.37 1.47 1.63 1.16 1.21 1.96 1.23\n",
      " 1.49 2.67 1.   1.25 1.46 1.44 1.2  1.9  1.27 1.28 1.83 1.66 1.67 1.93\n",
      " 2.04 1.36 1.92 1.84 1.89 1.52 1.68 1.05 1.02 1.59 1.86 1.06 1.78 1.53\n",
      " 1.73 0.97 1.51 2.1  0.98 1.04 2.08 0.94 3.11 1.88 1.12 0.95 2.2  2.19\n",
      " 0.93 3.62 1.57 2.02 0.99 1.7  2.49 1.31 2.12 2.99 1.77 1.99 2.43 2.09\n",
      " 2.59 1.55 2.44 2.18 2.42 2.16 1.76 2.55 1.85 2.71 1.95 2.36 2.57 2.81\n",
      " 2.03 2.37 2.01 3.45 2.6  2.4  1.56 2.75 1.61 2.78 2.23 2.72 2.05 1.8\n",
      " 2.66 2.28 2.13 2.5  3.1  3.32 2.39 2.51 2.   3.65 3.9  2.15 3.17 1.98\n",
      " 1.81 1.75 3.7  1.69 2.83 2.34 2.93 2.31 4.07 1.72 2.47 1.79 1.94 2.07\n",
      " 4.15 3.55 2.54 2.17 3.15 2.8  1.97 3.39 3.76 2.46 1.87 3.77 2.38 2.91]\n",
      "**************************************************\n",
      "[  818000.  2112000.  2033000. 23157000.  1361000. 14426000.  2898000.\n",
      "   727000.  3900000.   760000.   704000.  2730000.   640000.   210000.\n",
      "  2685000.   179000.   339000.  4488000.  7189000.   898000.  1154000.\n",
      "  8979000.  3853000.   759000.   410000.   585000.  3640000.   651000.\n",
      " 18547000.  1165000.   253000.  2025000.  1373000. 13680000.   591000.\n",
      "  4344000.  1131000.   326000.   394000.  1893000.   376000.  5831000.\n",
      "  1877000.   647000.  1999000.  2453000. 15345000.  1395000. 12326000.\n",
      "  2122000.   512000.  3398000.   683000.   729000.  1690000.   967000.\n",
      "   186000.  2681000.   256000.   453000.  4095000.  7253000.   710000.\n",
      "  1061000.  5124000.  2724000.   624000.   251000.   601000.  3188000.\n",
      "   671000. 15797000.  1066000.   362000.  2052000.  1277000. 13978000.\n",
      "   530000.  5599000.   796000.   249000.   287000.  1560000.   255000.\n",
      "  4080000.  1625000.   736000.  1723000.  2757000. 18172000.  1079000.\n",
      " 13154000.  1975000.   643000.  2444000.   571000.   536000.  1367000.\n",
      "   928000.   259000.  2102000.   173000.   315000.  3240000.  7695000.\n",
      "   845000.  1035000.  6438000.  2567000.   508000.   235000.   691000.\n",
      "  2552000.   771000. 19665000.   924000.   309000.  1616000.   855000.\n",
      " 16492000.   785000.  4728000.   590000.   281000.   441000.  1629000.\n",
      "   461000.  5141000.  2140000.  1827000.  3185000. 19361000.  1015000.\n",
      " 14080000.  2195000.   606000.  3082000.   720000.   489000.  1262000.\n",
      "   636000.   440000.  2862000.   174000.   294000.  3694000.  7108000.\n",
      "   999000.   953000.  9294000.  1486000.   963000.   318000.   462000.\n",
      "  2931000.   847000.  1473000.   269000.  1433000.  1363000.   221000.\n",
      " 10845000.   656000.  4981000.   568000.   522000.  1797000.   646000.\n",
      "  4450000.  1902000.  1218000.  2586000.  4990000. 31020000.  1858000.\n",
      " 23324000.  2938000.  1057000.  7809000.  1058000.  3303000.  1326000.\n",
      "  5034000.   546000.   270000.  7762000. 12555000.  1727000.  1278000.\n",
      " 11650000.  4805000.  1490000.   532000.  7350000.   948000. 35040000.\n",
      "  1814000.  2844000.  2215000.   588000. 16295000.  8707000.  1687000.\n",
      "   748000.   578000.  3239000.  8911000.  3184000.  1322000.  3377000.\n",
      "  3780000. 44702000.  2890000. 19681000.  4326000.  1157000.  6118000.\n",
      "   769000.   465000.  1286000.   401000.  3794000.   372000.   162000.\n",
      "  6782000. 14342000.  1869000.  1270000. 13781000.  4595000.   783000.\n",
      "   304000.   295000.  6561000. 40229000.  1050000.  2720000.  1944000.\n",
      "   529000. 21522000.   365000. 13132000.  1824000.  1139000.   373000.\n",
      "  4742000.   711000.  8376000.  4454000.  1472000.  1954000.  1984000.\n",
      " 18428000.  2484000. 20492000.  3704000.  1221000.  6426000.   716000.\n",
      "   607000.  2486000.   549000.  2710000.   278000.  5052000. 10935000.\n",
      "   892000. 11642000.  4584000.  1371000.   454000.   419000.  5832000.\n",
      "   695000. 31941000.  1420000.  2744000.  2300000. 22801000.   561000.\n",
      "  8552000.  1848000.   616000.   559000.  3457000.   698000.  6959000.\n",
      "  3218000.   875000.  1872000.  2409000. 25800000.  1901000. 11971000.\n",
      "  2573000.  1686000.  2812000.  1251000.   604000.  2981000.   840000.\n",
      "   520000.   345000.  4155000.  7992000.   858000.   915000.  7491000.\n",
      "  2366000.  1717000.   353000.  5771000. 27946000.  1449000.  1769000.\n",
      "  1756000. 14425000.  5129000.  1026000.   612000.  2833000.   526000.\n",
      "  6056000.  1994000.   958000.  1775000.  2164000. 19167000.  2808000.\n",
      " 13770000.  5594000.  1125000.  4055000.  1412000.   597000.  2992000.\n",
      "   901000.   613000.  2430000.   405000.  4554000.  9400000.  1276000.\n",
      "   676000.  9907000.  3191000.  1205000.   369000.   400000.  4826000.\n",
      " 23569000.  1098000.  2318000.  1826000.  9941000.   708000.  5109000.\n",
      "  1274000.   403000.   739000.  3160000.   509000.  6666000.  3249000.\n",
      "   918000.  2419000.  2128000. 14144000.  1818000. 11246000.  4141000.\n",
      "  1564000.  4338000.  2759000.   661000.   517000.  2787000.  5484000.\n",
      "  9194000.  1256000.   721000.  9088000.  2271000.   837000.  1005000.\n",
      "   503000.  4169000.  1345000. 29837000.  1512000.  2591000.  1785000.\n",
      " 13525000.   905000.  8266000.  1329000.   544000.  2530000.   602000.\n",
      "  6149000.  3440000.  1129000.  2016000.  2835000. 25520000.  1835000.\n",
      " 15642000.  7015000.  1431000.  5256000.  1160000.   788000.  2351000.\n",
      "   946000.   381000.  4189000.  7464000. 13227000.  1784000.   979000.\n",
      " 12851000.  3497000.   412000.   583000.   426000.  5775000.  1360000.\n",
      " 48960000.  1247000.  3032000.  1822000. 28643000.  6604000.  2110000.\n",
      "   726000.   610000.  3256000.   557000.  6960000.  3259000.  1508000.\n",
      "  1943000. 16284000. 16415000.  3918000.  1672000.  7202000.   694000.\n",
      "   582000.  1747000.  1049000.   474000.  5183000.  6138000. 11419000.\n",
      "  1922000.  1029000. 14921000.  3924000.   831000.   668000.  5645000.\n",
      "  1272000. 47817000.  1546000.  2880000.  1705000. 25304000.   846000.\n",
      "  7794000.  1442000.   492000.   807000.  4310000.   481000.  5972000.\n",
      "  2540000.  1166000.  2809000.  2205000. 42579000.  2894000. 21528000.\n",
      "  4225000.  2118000.  4217000.   959000.   945000.   911000.  4320000.\n",
      "   420000.  6877000. 13094000.  2258000.  1030000. 18356000.  3405000.\n",
      "   865000.   730000.  1591000. 69615000.  2544000.  3751000.  2364000.\n",
      " 23209000.  1260000. 10872000.  1193000.   806000.   614000.  4124000.\n",
      "   478000.  6881000.  1946000.  1130000.  1889000.  2281000. 29304000.\n",
      "  3410000. 18446000.  4612000.  2431000.  5575000.  1365000.   873000.\n",
      "  3038000.   662000.   495000.  4629000.   238000.  8572000. 10367000.\n",
      "  3167000. 22678000.  4233000.  1669000.  5378000.  2456000. 54542000.\n",
      "  2317000.  3427000.  2693000. 28050000.   902000.  8053000.  1570000.\n",
      "   397000.  5207000.   545000.  6787000.  3251000.  1067000.  1811000.\n",
      "  3119000. 22407000. 22728000.  5777000.  3113000.  4799000.  1516000.\n",
      "  1199000.  4898000.   752000.   803000.  6453000.   325000.  8447000.\n",
      " 16080000.  3759000.  1039000. 14703000.  5394000.   910000.   881000.\n",
      "  5800000.  1906000. 63590000.  2657000.  4147000.  2467000.  1072000.\n",
      "  9568000.  1777000.   574000.   618000.  6050000.   838000.  8487000.\n",
      "  4769000.]\n",
      "**************************************************\n"
     ]
    }
   ],
   "source": [
    "for i in ['state','year','numcol','yieldpercol','totalprod','stocks','priceperlb','prodvalue']:\n",
    "    print(df[i].unique())\n",
    "    print('*'*50)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c09f277",
   "metadata": {},
   "source": [
    "### 3. Display the percentage distribution of the data in each year using the pie chart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "10b28164",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T08:12:12.927678Z",
     "start_time": "2024-02-04T08:12:10.378306Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly_distribution = df['year'].value_counts(normalize=True)\n",
    "\n",
    "# Plotting the pie chart\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(yearly_distribution, labels=yearly_distribution.index, autopct='%1.1f%%', startangle=90)\n",
    "plt.title('Percentage Distribution of Data in Each Year')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d41be36",
   "metadata": {},
   "source": [
    "__In the dataset, the percentage distribution of data reveals that the year 2001 constitutes approximately 7.03%, while other years, such as 2002 and 2003, also contribute around 7.03%, and the years 1998, 1999, and 2000 each represent approximately 6.87%. Subsequent years, including 2004 to 2012, exhibit a similar pattern, accounting for around 6.55% to 6.39% of the total dataset.__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c55ef84",
   "metadata": {},
   "source": [
    "### 4. Plot and Understand the distribution of the variable \"price per lb\" using displot, and write your findings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c534f8e8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T08:13:25.946961Z",
     "start_time": "2024-02-04T08:13:25.220932Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "sns.displot(df['priceperlb'], kde=True, color='skyblue')\n",
    "plt.title('Distribution of Price per lb')\n",
    "plt.xlabel('Price per lb (in dollars)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad737dcb",
   "metadata": {},
   "source": [
    "__The \"price per lb\" variable exhibits a right-skewed distribution, indicating that a majority of the observations have lower prices per pound. The majority of prices per pound seem to be concentrated in the lower range, with a peak around a certain price point. The distribution is positively skewed, suggesting that there are fewer instances of higher prices per pound, but some observations extend to higher values. The x-axis, representing \"Price per lb (in dollars),\" ranges from 0.5 to 4.0, with more concentration towards the lower end of the scale. The y-axis indicates the frequency of occurrences, and the histogram is designed to reflect a <font color='blue'>right-skewed pattern, with values decreasing as prices per pound increase</font>.__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "287ab0d1",
   "metadata": {},
   "source": [
    "### 5. Plot and understand the relationship between the variables 'numcol' and 'prodval' through scatterplot, and write your findings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c995651c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T09:06:25.783500Z",
     "start_time": "2024-02-04T09:06:25.488843Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 6))\n",
    "sns.scatterplot(x='numcol', y='prodvalue', data=df, color='coral', alpha=0.7)\n",
    "plt.title('Relationship between Number of Colonies and Production Value')\n",
    "plt.xlabel('Number of Colonies')\n",
    "plt.ylabel('Production Value (in dollars)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3d808aef",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T09:06:47.618045Z",
     "start_time": "2024-02-04T09:06:47.358161Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9127962488930386"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['numcol'].corr(df['prodvalue'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c70f351",
   "metadata": {},
   "source": [
    "__The scatterplot illustrates a strong positive correlation between the number of honey-producing colonies ('numcol') and the production value ('prodvalue'). The correlation coefficient of approximately 0.913 suggests a high degree of linear dependence, indicating that as the number of colonies increases, there is a corresponding increase in production value. Each point on the scatterplot represents an entry in the dataset, and the overall trend suggests that beekeepers with a greater number of colonies tend to generate higher production values.__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74b56a9b",
   "metadata": {},
   "source": [
    "### 6. Plot and understand the relationship between categorical variable 'year' and a numerical variable 'prodvalue' through boxplot, and write your findings.¶"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d33fc15e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T09:07:40.818642Z",
     "start_time": "2024-02-04T09:07:40.447078Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "sns.boxplot(x='year', y='prodvalue', data=df, palette='viridis')\n",
    "plt.title('Relationship between Year and Production Value (Boxplot)')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Production Value (in dollars)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e7f5e49",
   "metadata": {},
   "source": [
    "__The boxplot reveals the distribution of production values ('prodvalue') for each year in the dataset.__\n",
    "\n",
    "__In the years 1998 to 2012, there are outliers present in the upper whisker of the boxplot.__\n",
    "\n",
    "__But in the years 2010, 2011, and 2012, there are outliers present in the upper whisker of the boxplot, indicating instances of significantly higher production values during these years.__\n",
    "\n",
    "__Among these three years, 2012 appears to have the highest production values, as its upper whisker extends the furthest.__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c87eb649",
   "metadata": {},
   "source": [
    "### 7. Visualize and understand the relationship between the multiple pairs of variables throughout different years using pairplot and add your inferences. (use columns 'numcol', 'yield percol', 'total prod', 'prodvalue','year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d8836833",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T09:08:26.454802Z",
     "start_time": "2024-02-04T09:08:22.422582Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1085.5x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the pairplot\n",
    "sns.pairplot(data = df, vars = ['numcol', 'yieldpercol', 'totalprod', 'prodvalue'], hue='year', palette='viridis')\n",
    "plt.suptitle('Pairplot of Selected Variables Across Different Years', y=1.02)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "983858c9",
   "metadata": {},
   "source": [
    "### 8. Display the correlation values using a plot and add your inferences. (use columns 'numcol', 'yield percol', 'total prod', 'stocks', 'price per lb', 'prodvalue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6084e6fa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-04T09:10:04.650380Z",
     "start_time": "2024-02-04T09:10:04.246194Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(data = df[['numcol','yieldpercol','totalprod','stocks','priceperlb','prodvalue']].corr(),linewidths=.5, annot = True, cmap = 'viridis')\n",
    "plt.title('Correlation Heatmap of Selected Variables')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25d17a1d",
   "metadata": {},
   "source": [
    "__The correlation analysis reveals strong positive relationships, with the highest correlations observed between 'numcol' and 'totalprod' (0.95), as well as 'totalprod' and 'prodvalue' (0.91).__\n",
    "\n",
    "__Moderately positive relationships include 'totalprod' and 'stocks' (0.88), 'numcol' and 'stocks' (0.83)__\n",
    "\n",
    "\n",
    "__This are the  negative relationships are found between 'stocks' and 'priceperlb' (-0.31), 'yieldpercol' and 'priceperlb' (-0.36), and 'totalprod' and 'priceperlb' (-0.26),'priceperlb' and 'prodvalue' (-0.09).__\n",
    "\n",
    "__The weakest correlations are observed between , 'yieldpercol' and 'prodvalue' (0.28), and 'yieldpercol' and 'totalprod' (0.40).__"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
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   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}