Pandas -2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np \n",
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([10, 20, 30])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr = numpy.array([10,20,30])\n",
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\Noble'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "C:\\Noble\\Training\\Top Mentor\\Training\\Data Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  Birth rate  Internet users  \\\n",
       "0                   Aruba          ABW      10.244            78.9   \n",
       "1             Afghanistan          AFG      35.253             5.9   \n",
       "2                  Angola          AGO      45.985            19.1   \n",
       "3                 Albania          ALB      12.877            57.2   \n",
       "4    United Arab Emirates          ARE      11.044            88.0   \n",
       "..                    ...          ...         ...             ...   \n",
       "190           Yemen, Rep.          YEM      32.947            20.0   \n",
       "191          South Africa          ZAF      20.850            46.5   \n",
       "192      Congo, Dem. Rep.          COD      42.394             2.2   \n",
       "193                Zambia          ZMB      40.471            15.4   \n",
       "194              Zimbabwe          ZWE      35.715            18.5   \n",
       "\n",
       "            Income Group  \n",
       "0            High income  \n",
       "1             Low income  \n",
       "2    Upper middle income  \n",
       "3    Upper middle income  \n",
       "4            High income  \n",
       "..                   ...  \n",
       "190  Lower middle income  \n",
       "191  Upper middle income  \n",
       "192           Low income  \n",
       "193  Lower middle income  \n",
       "194           Low income  \n",
       "\n",
       "[195 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats = pd.read_csv('C:\\\\Noble\\\\Training\\\\Top Mentor\\\\Training\\\\Data Set\\\\DemographicData.csv')\n",
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "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",
       "\n",
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       "        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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  Birth rate  Internet users  \\\n",
       "0                   Aruba          ABW      10.244            78.9   \n",
       "1             Afghanistan          AFG      35.253             5.9   \n",
       "2                  Angola          AGO      45.985            19.1   \n",
       "3                 Albania          ALB      12.877            57.2   \n",
       "4    United Arab Emirates          ARE      11.044            88.0   \n",
       "..                    ...          ...         ...             ...   \n",
       "190           Yemen, Rep.          YEM      32.947            20.0   \n",
       "191          South Africa          ZAF      20.850            46.5   \n",
       "192      Congo, Dem. Rep.          COD      42.394             2.2   \n",
       "193                Zambia          ZMB      40.471            15.4   \n",
       "194              Zimbabwe          ZWE      35.715            18.5   \n",
       "\n",
       "            Income Group  \n",
       "0            High income  \n",
       "1             Low income  \n",
       "2    Upper middle income  \n",
       "3    Upper middle income  \n",
       "4            High income  \n",
       "..                   ...  \n",
       "190  Lower middle income  \n",
       "191  Upper middle income  \n",
       "192           Low income  \n",
       "193  Lower middle income  \n",
       "194           Low income  \n",
       "\n",
       "[195 rows x 5 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.chdir ('C:\\\\Noble\\\\Training\\\\Top Mentor\\\\Training\\\\Data Set\\\\')\n",
    "abc= pd.read_csv ('DemographicData.csv')\n",
    "stats\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "195\n"
     ]
    }
   ],
   "source": [
    "print (len (stats))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Country Name', 'Country Code', 'Birth rate', 'Internet users',\n",
      "       'Income Group'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print (stats.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Birth rate\n"
     ]
    }
   ],
   "source": [
    "print (stats.columns[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "print (len(stats.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(195, 5)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Country Name', 'Country Code', 'Birth rate', 'Internet users', 'Income Group']\n"
     ]
    }
   ],
   "source": [
    "col_names = list(stats.columns)\n",
    "print (col_names) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Country Name',\n",
       " 'Country Code',\n",
       " 'Birth rate',\n",
       " 'Internet users',\n",
       " 'Income Group')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple(stats.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country Name Country Code  Birth rate  Internet users  \\\n",
       "0                 Aruba          ABW      10.244            78.9   \n",
       "1           Afghanistan          AFG      35.253             5.9   \n",
       "2                Angola          AGO      45.985            19.1   \n",
       "3               Albania          ALB      12.877            57.2   \n",
       "4  United Arab Emirates          ARE      11.044            88.0   \n",
       "\n",
       "          Income Group  \n",
       "0          High income  \n",
       "1           Low income  \n",
       "2  Upper middle income  \n",
       "3  Upper middle income  \n",
       "4          High income  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country Name Country Code  Birth rate  Internet users  \\\n",
       "190       Yemen, Rep.          YEM      32.947            20.0   \n",
       "191      South Africa          ZAF      20.850            46.5   \n",
       "192  Congo, Dem. Rep.          COD      42.394             2.2   \n",
       "193            Zambia          ZMB      40.471            15.4   \n",
       "194          Zimbabwe          ZWE      35.715            18.5   \n",
       "\n",
       "            Income Group  \n",
       "190  Lower middle income  \n",
       "191  Upper middle income  \n",
       "192           Low income  \n",
       "193  Lower middle income  \n",
       "194           Low income  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>17.716</td>\n",
       "      <td>59.9000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARM</td>\n",
       "      <td>13.308</td>\n",
       "      <td>41.9000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>ATG</td>\n",
       "      <td>16.447</td>\n",
       "      <td>63.4000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>13.200</td>\n",
       "      <td>83.0000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Austria</td>\n",
       "      <td>AUT</td>\n",
       "      <td>9.400</td>\n",
       "      <td>80.6188</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country Name Country Code  Birth rate  Internet users  \\\n",
       "0                 Aruba          ABW      10.244         78.9000   \n",
       "1           Afghanistan          AFG      35.253          5.9000   \n",
       "2                Angola          AGO      45.985         19.1000   \n",
       "3               Albania          ALB      12.877         57.2000   \n",
       "4  United Arab Emirates          ARE      11.044         88.0000   \n",
       "5             Argentina          ARG      17.716         59.9000   \n",
       "6               Armenia          ARM      13.308         41.9000   \n",
       "7   Antigua and Barbuda          ATG      16.447         63.4000   \n",
       "8             Australia          AUS      13.200         83.0000   \n",
       "9               Austria          AUT       9.400         80.6188   \n",
       "\n",
       "          Income Group  \n",
       "0          High income  \n",
       "1           Low income  \n",
       "2  Upper middle income  \n",
       "3  Upper middle income  \n",
       "4          High income  \n",
       "5          High income  \n",
       "6  Lower middle income  \n",
       "7          High income  \n",
       "8          High income  \n",
       "9          High income  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code  Birth rate  Internet users Income Group\n",
       "0        Aruba          ABW      10.244            78.9  High income"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country Name                  Ecuador\n",
       "Country Code                      ECU\n",
       "Birth rate                      21.07\n",
       "Internet users                40.3537\n",
       "Income Group      Upper middle income\n",
       "Name: 50, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.loc[50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country Name                  Ecuador\n",
       "Country Code                      ECU\n",
       "Birth rate                      21.07\n",
       "Internet users                40.3537\n",
       "Income Group      Upper middle income\n",
       "Name: 50, dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.iloc[50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Ecuador</td>\n",
       "      <td>ECU</td>\n",
       "      <td>21.07</td>\n",
       "      <td>40.353684</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Country Name Country Code  Birth rate  Internet users         Income Group\n",
       "50      Ecuador          ECU       21.07       40.353684  Upper middle income"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.iloc[[50]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                       Country Name Country Code  Birth rate  Internet users  \\\n",
      "165                      Seychelles          SYC      18.600           50.40   \n",
      "166            Syrian Arab Republic          SYR      24.043           26.20   \n",
      "167                            Chad          TCD      45.745            2.30   \n",
      "168                            Togo          TGO      36.080            4.50   \n",
      "169                        Thailand          THA      11.041           28.94   \n",
      "170                      Tajikistan          TJK      30.792           16.00   \n",
      "171                    Turkmenistan          TKM      21.322            9.60   \n",
      "172                     Timor-Leste          TLS      35.755            1.10   \n",
      "173                           Tonga          TON      25.409           35.00   \n",
      "174             Trinidad and Tobago          TTO      14.590           63.80   \n",
      "175                         Tunisia          TUN      19.800           43.80   \n",
      "176                          Turkey          TUR      16.836           46.25   \n",
      "177                        Tanzania          TZA      39.518            4.40   \n",
      "178                          Uganda          UGA      43.474           16.20   \n",
      "179                         Ukraine          UKR      11.100           41.00   \n",
      "180                         Uruguay          URY      14.374           57.69   \n",
      "181                   United States          USA      12.500           84.20   \n",
      "182                      Uzbekistan          UZB      22.500           38.20   \n",
      "183  St. Vincent and the Grenadines          VCT      16.306           52.00   \n",
      "184                   Venezuela, RB          VEN      19.842           54.90   \n",
      "185           Virgin Islands (U.S.)          VIR      10.700           45.30   \n",
      "186                         Vietnam          VNM      15.537           43.90   \n",
      "187                         Vanuatu          VUT      26.739           11.30   \n",
      "188              West Bank and Gaza          PSE      30.394           46.60   \n",
      "189                           Samoa          WSM      26.172           15.30   \n",
      "190                     Yemen, Rep.          YEM      32.947           20.00   \n",
      "191                    South Africa          ZAF      20.850           46.50   \n",
      "192                Congo, Dem. Rep.          COD      42.394            2.20   \n",
      "193                          Zambia          ZMB      40.471           15.40   \n",
      "194                        Zimbabwe          ZWE      35.715           18.50   \n",
      "\n",
      "            Income Group  \n",
      "165          High income  \n",
      "166  Lower middle income  \n",
      "167           Low income  \n",
      "168           Low income  \n",
      "169  Upper middle income  \n",
      "170  Lower middle income  \n",
      "171  Upper middle income  \n",
      "172  Lower middle income  \n",
      "173  Upper middle income  \n",
      "174          High income  \n",
      "175  Upper middle income  \n",
      "176  Upper middle income  \n",
      "177           Low income  \n",
      "178           Low income  \n",
      "179  Lower middle income  \n",
      "180          High income  \n",
      "181          High income  \n",
      "182  Lower middle income  \n",
      "183  Upper middle income  \n",
      "184          High income  \n",
      "185          High income  \n",
      "186  Lower middle income  \n",
      "187  Lower middle income  \n",
      "188  Lower middle income  \n",
      "189  Lower middle income  \n",
      "190  Lower middle income  \n",
      "191  Upper middle income  \n",
      "192           Low income  \n",
      "193  Lower middle income  \n",
      "194           Low income  \n"
     ]
    }
   ],
   "source": [
    "print (stats.tail(30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  Birth rate  Internet users  \\\n",
       "0                   Aruba          ABW      10.244            78.9   \n",
       "1             Afghanistan          AFG      35.253             5.9   \n",
       "2                  Angola          AGO      45.985            19.1   \n",
       "3                 Albania          ALB      12.877            57.2   \n",
       "4    United Arab Emirates          ARE      11.044            88.0   \n",
       "..                    ...          ...         ...             ...   \n",
       "190           Yemen, Rep.          YEM      32.947            20.0   \n",
       "191          South Africa          ZAF      20.850            46.5   \n",
       "192      Congo, Dem. Rep.          COD      42.394             2.2   \n",
       "193                Zambia          ZMB      40.471            15.4   \n",
       "194              Zimbabwe          ZWE      35.715            18.5   \n",
       "\n",
       "            Income Group  \n",
       "0            High income  \n",
       "1             Low income  \n",
       "2    Upper middle income  \n",
       "3    Upper middle income  \n",
       "4            High income  \n",
       "..                   ...  \n",
       "190  Lower middle income  \n",
       "191  Upper middle income  \n",
       "192           Low income  \n",
       "193  Lower middle income  \n",
       "194           Low income  \n",
       "\n",
       "[195 rows x 5 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.90000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.90000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.10000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.20000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.00000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>17.716</td>\n",
       "      <td>59.90000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARM</td>\n",
       "      <td>13.308</td>\n",
       "      <td>41.90000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>ATG</td>\n",
       "      <td>16.447</td>\n",
       "      <td>63.40000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>13.200</td>\n",
       "      <td>83.00000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Austria</td>\n",
       "      <td>AUT</td>\n",
       "      <td>9.400</td>\n",
       "      <td>80.61880</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>AZE</td>\n",
       "      <td>18.300</td>\n",
       "      <td>58.70000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>44.151</td>\n",
       "      <td>1.30000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>BEL</td>\n",
       "      <td>11.200</td>\n",
       "      <td>82.17020</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>36.440</td>\n",
       "      <td>4.90000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>40.551</td>\n",
       "      <td>9.10000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>BGD</td>\n",
       "      <td>20.142</td>\n",
       "      <td>6.63000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>BGR</td>\n",
       "      <td>9.200</td>\n",
       "      <td>53.06150</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>BHR</td>\n",
       "      <td>15.040</td>\n",
       "      <td>90.00004</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bahamas, The</td>\n",
       "      <td>BHS</td>\n",
       "      <td>15.339</td>\n",
       "      <td>72.00000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>BIH</td>\n",
       "      <td>9.062</td>\n",
       "      <td>57.79000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>BLR</td>\n",
       "      <td>12.500</td>\n",
       "      <td>54.17000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Belize</td>\n",
       "      <td>BLZ</td>\n",
       "      <td>23.092</td>\n",
       "      <td>33.60000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bermuda</td>\n",
       "      <td>BMU</td>\n",
       "      <td>10.400</td>\n",
       "      <td>95.30000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BOL</td>\n",
       "      <td>24.236</td>\n",
       "      <td>36.94000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>BRA</td>\n",
       "      <td>14.931</td>\n",
       "      <td>51.04000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>BRB</td>\n",
       "      <td>12.188</td>\n",
       "      <td>73.00000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>BRN</td>\n",
       "      <td>16.405</td>\n",
       "      <td>64.50000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bhutan</td>\n",
       "      <td>BTN</td>\n",
       "      <td>18.134</td>\n",
       "      <td>29.90000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>25.267</td>\n",
       "      <td>15.00000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>CAF</td>\n",
       "      <td>34.076</td>\n",
       "      <td>3.50000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Canada</td>\n",
       "      <td>CAN</td>\n",
       "      <td>10.900</td>\n",
       "      <td>85.80000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>CHE</td>\n",
       "      <td>10.200</td>\n",
       "      <td>86.34000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Chile</td>\n",
       "      <td>CHL</td>\n",
       "      <td>13.385</td>\n",
       "      <td>66.50000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>China</td>\n",
       "      <td>CHN</td>\n",
       "      <td>12.100</td>\n",
       "      <td>45.80000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>CIV</td>\n",
       "      <td>37.320</td>\n",
       "      <td>8.40000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Cameroon</td>\n",
       "      <td>CMR</td>\n",
       "      <td>37.236</td>\n",
       "      <td>6.40000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "      <td>COG</td>\n",
       "      <td>37.011</td>\n",
       "      <td>6.60000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>COL</td>\n",
       "      <td>16.076</td>\n",
       "      <td>51.70000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>COM</td>\n",
       "      <td>34.326</td>\n",
       "      <td>6.50000</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Cabo Verde</td>\n",
       "      <td>CPV</td>\n",
       "      <td>21.625</td>\n",
       "      <td>37.50000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CRI</td>\n",
       "      <td>15.022</td>\n",
       "      <td>45.96000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Cuba</td>\n",
       "      <td>CUB</td>\n",
       "      <td>10.400</td>\n",
       "      <td>27.93000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Cayman Islands</td>\n",
       "      <td>CYM</td>\n",
       "      <td>12.500</td>\n",
       "      <td>74.10000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Cyprus</td>\n",
       "      <td>CYP</td>\n",
       "      <td>11.436</td>\n",
       "      <td>65.45480</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>CZE</td>\n",
       "      <td>10.200</td>\n",
       "      <td>74.11040</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Germany</td>\n",
       "      <td>DEU</td>\n",
       "      <td>8.500</td>\n",
       "      <td>84.17000</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Djibouti</td>\n",
       "      <td>DJI</td>\n",
       "      <td>25.486</td>\n",
       "      <td>9.50000</td>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>DNK</td>\n",
       "      <td>10.000</td>\n",
       "      <td>94.62970</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Dominican Republic</td>\n",
       "      <td>DOM</td>\n",
       "      <td>21.198</td>\n",
       "      <td>45.90000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>DZA</td>\n",
       "      <td>24.738</td>\n",
       "      <td>16.50000</td>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Country Name Country Code  Birth rate  Internet users  \\\n",
       "0                      Aruba          ABW      10.244        78.90000   \n",
       "1                Afghanistan          AFG      35.253         5.90000   \n",
       "2                     Angola          AGO      45.985        19.10000   \n",
       "3                    Albania          ALB      12.877        57.20000   \n",
       "4       United Arab Emirates          ARE      11.044        88.00000   \n",
       "5                  Argentina          ARG      17.716        59.90000   \n",
       "6                    Armenia          ARM      13.308        41.90000   \n",
       "7        Antigua and Barbuda          ATG      16.447        63.40000   \n",
       "8                  Australia          AUS      13.200        83.00000   \n",
       "9                    Austria          AUT       9.400        80.61880   \n",
       "10                Azerbaijan          AZE      18.300        58.70000   \n",
       "11                   Burundi          BDI      44.151         1.30000   \n",
       "12                   Belgium          BEL      11.200        82.17020   \n",
       "13                     Benin          BEN      36.440         4.90000   \n",
       "14              Burkina Faso          BFA      40.551         9.10000   \n",
       "15                Bangladesh          BGD      20.142         6.63000   \n",
       "16                  Bulgaria          BGR       9.200        53.06150   \n",
       "17                   Bahrain          BHR      15.040        90.00004   \n",
       "18              Bahamas, The          BHS      15.339        72.00000   \n",
       "19    Bosnia and Herzegovina          BIH       9.062        57.79000   \n",
       "20                   Belarus          BLR      12.500        54.17000   \n",
       "21                    Belize          BLZ      23.092        33.60000   \n",
       "22                   Bermuda          BMU      10.400        95.30000   \n",
       "23                   Bolivia          BOL      24.236        36.94000   \n",
       "24                    Brazil          BRA      14.931        51.04000   \n",
       "25                  Barbados          BRB      12.188        73.00000   \n",
       "26         Brunei Darussalam          BRN      16.405        64.50000   \n",
       "27                    Bhutan          BTN      18.134        29.90000   \n",
       "28                  Botswana          BWA      25.267        15.00000   \n",
       "29  Central African Republic          CAF      34.076         3.50000   \n",
       "30                    Canada          CAN      10.900        85.80000   \n",
       "31               Switzerland          CHE      10.200        86.34000   \n",
       "32                     Chile          CHL      13.385        66.50000   \n",
       "33                     China          CHN      12.100        45.80000   \n",
       "34             Cote d'Ivoire          CIV      37.320         8.40000   \n",
       "35                  Cameroon          CMR      37.236         6.40000   \n",
       "36               Congo, Rep.          COG      37.011         6.60000   \n",
       "37                  Colombia          COL      16.076        51.70000   \n",
       "38                   Comoros          COM      34.326         6.50000   \n",
       "39                Cabo Verde          CPV      21.625        37.50000   \n",
       "40                Costa Rica          CRI      15.022        45.96000   \n",
       "41                      Cuba          CUB      10.400        27.93000   \n",
       "42            Cayman Islands          CYM      12.500        74.10000   \n",
       "43                    Cyprus          CYP      11.436        65.45480   \n",
       "44            Czech Republic          CZE      10.200        74.11040   \n",
       "45                   Germany          DEU       8.500        84.17000   \n",
       "46                  Djibouti          DJI      25.486         9.50000   \n",
       "47                   Denmark          DNK      10.000        94.62970   \n",
       "48        Dominican Republic          DOM      21.198        45.90000   \n",
       "49                   Algeria          DZA      24.738        16.50000   \n",
       "\n",
       "           Income Group  \n",
       "0           High income  \n",
       "1            Low income  \n",
       "2   Upper middle income  \n",
       "3   Upper middle income  \n",
       "4           High income  \n",
       "5           High income  \n",
       "6   Lower middle income  \n",
       "7           High income  \n",
       "8           High income  \n",
       "9           High income  \n",
       "10  Upper middle income  \n",
       "11           Low income  \n",
       "12          High income  \n",
       "13           Low income  \n",
       "14           Low income  \n",
       "15  Lower middle income  \n",
       "16  Upper middle income  \n",
       "17          High income  \n",
       "18          High income  \n",
       "19  Upper middle income  \n",
       "20  Upper middle income  \n",
       "21  Upper middle income  \n",
       "22          High income  \n",
       "23  Lower middle income  \n",
       "24  Upper middle income  \n",
       "25          High income  \n",
       "26          High income  \n",
       "27  Lower middle income  \n",
       "28  Upper middle income  \n",
       "29           Low income  \n",
       "30          High income  \n",
       "31          High income  \n",
       "32          High income  \n",
       "33  Upper middle income  \n",
       "34  Lower middle income  \n",
       "35  Lower middle income  \n",
       "36  Lower middle income  \n",
       "37  Upper middle income  \n",
       "38           Low income  \n",
       "39  Lower middle income  \n",
       "40  Upper middle income  \n",
       "41  Upper middle income  \n",
       "42          High income  \n",
       "43          High income  \n",
       "44          High income  \n",
       "45          High income  \n",
       "46  Lower middle income  \n",
       "47          High income  \n",
       "48  Upper middle income  \n",
       "49  Upper middle income  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abc.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 195 entries, 0 to 194\n",
      "Data columns (total 5 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Country Name    195 non-null    object \n",
      " 1   Country Code    195 non-null    object \n",
      " 2   Birth rate      195 non-null    float64\n",
      " 3   Internet users  195 non-null    float64\n",
      " 4   Income Group    195 non-null    object \n",
      "dtypes: float64(2), object(3)\n",
      "memory usage: 7.7+ KB\n"
     ]
    }
   ],
   "source": [
    "stats.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21.469928</td>\n",
       "      <td>42.076471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.605467</td>\n",
       "      <td>29.030788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>0.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.120500</td>\n",
       "      <td>14.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>19.680000</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>29.759500</td>\n",
       "      <td>66.225000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>49.661000</td>\n",
       "      <td>96.546800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Birth rate  Internet users\n",
       "count  195.000000      195.000000\n",
       "mean    21.469928       42.076471\n",
       "std     10.605467       29.030788\n",
       "min      7.900000        0.900000\n",
       "25%     12.120500       14.520000\n",
       "50%     19.680000       41.000000\n",
       "75%     29.759500       66.225000\n",
       "max     49.661000       96.546800"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Birth rate</th>\n",
       "      <th>Internet users</th>\n",
       "      <th>Income Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code  Birth rate  Internet users Income Group\n",
       "0        Aruba          ABW      10.244            78.9  High income\n",
       "1  Afghanistan          AFG      35.253             5.9   Low income"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>C_Name</th>\n",
       "      <th>C_Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>89.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>41.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>65.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>99.044</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 C_Name C_Code  B_Rate  I_Users           Income_Grp  Year  \\\n",
       "0                 Aruba    ABW  10.244     78.9          High income  2021   \n",
       "1           Afghanistan    AFG  35.253      5.9           Low income  2021   \n",
       "2                Angola    AGO  45.985     19.1  Upper middle income  2021   \n",
       "3               Albania    ALB  12.877     57.2  Upper middle income  2021   \n",
       "4  United Arab Emirates    ARE  11.044     88.0          High income  2021   \n",
       "\n",
       "    Total  \n",
       "0  89.144  \n",
       "1  41.153  \n",
       "2  65.085  \n",
       "3  70.077  \n",
       "4  99.044  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.columns = ['C_Name','C_Code','B_Rate','I_Users','Income_Grp', 'Year', \"Total\"]\n",
    "stats.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "      <th>Total</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>89.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>41.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>65.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>99.044</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                 Aruba          ABW  10.244     78.9          High income   \n",
       "1           Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3               Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4  United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "\n",
       "   Year   Total  \n",
       "0  2021  89.144  \n",
       "1  2021  41.153  \n",
       "2  2021  65.085  \n",
       "3  2021  70.077  \n",
       "4  2021  99.044  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.rename (columns = {'C_Name':'Country Name','C_Code':'Country Code'},inplace= True)\n",
    "stats.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "stats['Year'] =2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year  \n",
       "0    2021  \n",
       "1    2021  \n",
       "2    2021  \n",
       "3    2021  \n",
       "4    2021  \n",
       "..    ...  \n",
       "190  2021  \n",
       "191  2021  \n",
       "192  2021  \n",
       "193  2021  \n",
       "194  2021  \n",
       "\n",
       "[195 rows x 6 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Aruba</td>\n",
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       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
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       "      <td>35.253</td>\n",
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       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>65.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>99.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>52.947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>67.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>44.594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>55.871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>54.215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year   Total  \n",
       "0    2021  89.144  \n",
       "1    2021  41.153  \n",
       "2    2021  65.085  \n",
       "3    2021  70.077  \n",
       "4    2021  99.044  \n",
       "..    ...     ...  \n",
       "190  2021  52.947  \n",
       "191  2021  67.350  \n",
       "192  2021  44.594  \n",
       "193  2021  55.871  \n",
       "194  2021  54.215  \n",
       "\n",
       "[195 rows x 7 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['Total'] =stats['B_Rate']+stats['I_Users']\n",
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
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       "      <th>Total1</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>89.144</td>\n",
       "      <td>89.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>41.153</td>\n",
       "      <td>41.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>65.085</td>\n",
       "      <td>65.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
       "      <td>70.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>99.044</td>\n",
       "      <td>99.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>52.947</td>\n",
       "      <td>52.947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>67.350</td>\n",
       "      <td>67.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>44.594</td>\n",
       "      <td>44.594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>55.871</td>\n",
       "      <td>55.871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>54.215</td>\n",
       "      <td>54.215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year   Total  Total1  \n",
       "0    2021  89.144  89.144  \n",
       "1    2021  41.153  41.153  \n",
       "2    2021  65.085  65.085  \n",
       "3    2021  70.077  70.077  \n",
       "4    2021  99.044  99.044  \n",
       "..    ...     ...     ...  \n",
       "190  2021  52.947  52.947  \n",
       "191  2021  67.350  67.350  \n",
       "192  2021  44.594  44.594  \n",
       "193  2021  55.871  55.871  \n",
       "194  2021  54.215  54.215  \n",
       "\n",
       "[195 rows x 8 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['Total1'] =stats.B_Rate+stats.I_Users\n",
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Country Code</th>\n",
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       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "      <th>Total</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>89.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>41.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>65.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>99.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>52.947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>67.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>44.594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>55.871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>54.215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year   Total  \n",
       "0    2021  89.144  \n",
       "1    2021  41.153  \n",
       "2    2021  65.085  \n",
       "3    2021  70.077  \n",
       "4    2021  99.044  \n",
       "..    ...     ...  \n",
       "190  2021  52.947  \n",
       "191  2021  67.350  \n",
       "192  2021  44.594  \n",
       "193  2021  55.871  \n",
       "194  2021  54.215  \n",
       "\n",
       "[195 rows x 7 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del(stats['Total1'])\n",
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Aruba</td>\n",
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       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
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       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
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       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
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       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
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       "      <td>88.0</td>\n",
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       "      <td>99.044</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>Samoa</td>\n",
       "      <td>WSM</td>\n",
       "      <td>26.172</td>\n",
       "      <td>15.3</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>41.472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>52.947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>67.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>44.594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>54.215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>194 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "189                 Samoa          WSM  26.172     15.3  Lower middle income   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year   Total  \n",
       "0    2021  89.144  \n",
       "1    2021  41.153  \n",
       "2    2021  65.085  \n",
       "3    2021  70.077  \n",
       "4    2021  99.044  \n",
       "..    ...     ...  \n",
       "189  2021  41.472  \n",
       "190  2021  52.947  \n",
       "191  2021  67.350  \n",
       "192  2021  44.594  \n",
       "194  2021  54.215  \n",
       "\n",
       "[194 rows x 7 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.drop(193)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"['Year'] not found in axis\"",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-61-a348d5d2505c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mstats\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstats\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Year'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[0;32m   4161\u001b[0m                 \u001b[0mweight\u001b[0m  \u001b[1;36m1.0\u001b[0m     \u001b[1;36m0.8\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4162\u001b[0m         \"\"\"\n\u001b[1;32m-> 4163\u001b[1;33m         return super().drop(\n\u001b[0m\u001b[0;32m   4164\u001b[0m             \u001b[0mlabels\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4165\u001b[0m             \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[0;32m   3885\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3886\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3887\u001b[1;33m                 \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3888\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3889\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m_drop_axis\u001b[1;34m(self, labels, axis, level, errors)\u001b[0m\n\u001b[0;32m   3919\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3920\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3921\u001b[1;33m                 \u001b[0mnew_axis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3922\u001b[0m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3923\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mdrop\u001b[1;34m(self, labels, errors)\u001b[0m\n\u001b[0;32m   5280\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mmask\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5281\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;34m\"ignore\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5282\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"{labels[mask]} not found in axis\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   5283\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m~\u001b[0m\u001b[0mmask\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5284\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdelete\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: \"['Year'] not found in axis\""
     ]
    }
   ],
   "source": [
    "stats = stats.drop('Year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>89.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>41.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>65.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>70.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "      <td>99.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>52.947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>67.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>44.594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "      <td>55.871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "      <td>54.215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year   Total  \n",
       "0    2021  89.144  \n",
       "1    2021  41.153  \n",
       "2    2021  65.085  \n",
       "3    2021  70.077  \n",
       "4    2021  99.044  \n",
       "..    ...     ...  \n",
       "190  2021  52.947  \n",
       "191  2021  67.350  \n",
       "192  2021  44.594  \n",
       "193  2021  55.871  \n",
       "194  2021  54.215  \n",
       "\n",
       "[195 rows x 7 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year  \n",
       "0    2021  \n",
       "1    2021  \n",
       "2    2021  \n",
       "3    2021  \n",
       "4    2021  \n",
       "..    ...  \n",
       "190  2021  \n",
       "191  2021  \n",
       "192  2021  \n",
       "193  2021  \n",
       "194  2021  \n",
       "\n",
       "[195 rows x 6 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "stats[stats.InternetUsers <20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year  \n",
       "0    2021  \n",
       "1    2021  \n",
       "2    2021  \n",
       "3    2021  \n",
       "4    2021  \n",
       "..    ...  \n",
       "190  2021  \n",
       "191  2021  \n",
       "192  2021  \n",
       "193  2021  \n",
       "194  2021  \n",
       "\n",
       "[195 rows x 6 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    " stats[stats.I_Users <20].to_csv('C:\\\\Noble\\\\Training\\\\DS Temporary Files\\\\export1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "x.to_csv('C:\\\\Noble\\\\Training\\\\DS Temporary Files\\\\export.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
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       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code  B_Rate  I_Users           Income_Grp  Year\n",
       "0        Aruba          ABW  10.244     78.9          High income  2021\n",
       "1  Afghanistan          AFG  35.253      5.9           Low income  2021\n",
       "2       Angola          AGO  45.985     19.1  Upper middle income  2021"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
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       "      <th>B_Rate</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>44.151</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>40.551</td>\n",
       "      <td>9.1</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Mali</td>\n",
       "      <td>MLI</td>\n",
       "      <td>44.138</td>\n",
       "      <td>3.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>49.661</td>\n",
       "      <td>1.7</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>43.891</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>45.745</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country Name Country Code  B_Rate  I_Users  Income_Grp  Year\n",
       "11            Burundi          BDI  44.151      1.3  Low income  2021\n",
       "14       Burkina Faso          BFA  40.551      9.1  Low income  2021\n",
       "115              Mali          MLI  44.138      3.5  Low income  2021\n",
       "127             Niger          NER  49.661      1.7  Low income  2021\n",
       "156           Somalia          SOM  43.891      1.5  Low income  2021\n",
       "167              Chad          TCD  45.745      2.3  Low income  2021\n",
       "192  Congo, Dem. Rep.          COD  42.394      2.2  Low income  2021"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[(stats.I_Users <10) & (stats.B_Rate  >40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Afghanistan</td>\n",
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       "      <td>35.253</td>\n",
       "      <td>5.90</td>\n",
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       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.10</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>44.151</td>\n",
       "      <td>1.30</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>36.440</td>\n",
       "      <td>4.90</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>40.551</td>\n",
       "      <td>9.10</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>BGD</td>\n",
       "      <td>20.142</td>\n",
       "      <td>6.63</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>CAF</td>\n",
       "      <td>34.076</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>CIV</td>\n",
       "      <td>37.320</td>\n",
       "      <td>8.40</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Cameroon</td>\n",
       "      <td>CMR</td>\n",
       "      <td>37.236</td>\n",
       "      <td>6.40</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "      <td>COG</td>\n",
       "      <td>37.011</td>\n",
       "      <td>6.60</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>COM</td>\n",
       "      <td>34.326</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Djibouti</td>\n",
       "      <td>DJI</td>\n",
       "      <td>25.486</td>\n",
       "      <td>9.50</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Eritrea</td>\n",
       "      <td>ERI</td>\n",
       "      <td>34.800</td>\n",
       "      <td>0.90</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>ETH</td>\n",
       "      <td>32.925</td>\n",
       "      <td>1.90</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Gabon</td>\n",
       "      <td>GAB</td>\n",
       "      <td>30.555</td>\n",
       "      <td>9.20</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Guinea</td>\n",
       "      <td>GIN</td>\n",
       "      <td>37.337</td>\n",
       "      <td>1.60</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Gambia, The</td>\n",
       "      <td>GMB</td>\n",
       "      <td>42.525</td>\n",
       "      <td>14.00</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Guinea-Bissau</td>\n",
       "      <td>GNB</td>\n",
       "      <td>37.503</td>\n",
       "      <td>3.10</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Iraq</td>\n",
       "      <td>IRQ</td>\n",
       "      <td>31.093</td>\n",
       "      <td>9.20</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Cambodia</td>\n",
       "      <td>KHM</td>\n",
       "      <td>24.462</td>\n",
       "      <td>6.80</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>LBR</td>\n",
       "      <td>35.521</td>\n",
       "      <td>3.20</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Lesotho</td>\n",
       "      <td>LSO</td>\n",
       "      <td>28.738</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Madagascar</td>\n",
       "      <td>MDG</td>\n",
       "      <td>34.686</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Mali</td>\n",
       "      <td>MLI</td>\n",
       "      <td>44.138</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Myanmar</td>\n",
       "      <td>MMR</td>\n",
       "      <td>18.119</td>\n",
       "      <td>1.60</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Mozambique</td>\n",
       "      <td>MOZ</td>\n",
       "      <td>39.705</td>\n",
       "      <td>5.40</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Mauritania</td>\n",
       "      <td>MRT</td>\n",
       "      <td>33.801</td>\n",
       "      <td>6.20</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>MWI</td>\n",
       "      <td>39.459</td>\n",
       "      <td>5.05</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>49.661</td>\n",
       "      <td>1.70</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Nigeria</td>\n",
       "      <td>NGA</td>\n",
       "      <td>40.045</td>\n",
       "      <td>38.00</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "      <td>PNG</td>\n",
       "      <td>28.899</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Rwanda</td>\n",
       "      <td>RWA</td>\n",
       "      <td>32.689</td>\n",
       "      <td>9.00</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Solomon Islands</td>\n",
       "      <td>SLB</td>\n",
       "      <td>30.578</td>\n",
       "      <td>8.00</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>SLE</td>\n",
       "      <td>36.729</td>\n",
       "      <td>1.70</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>43.891</td>\n",
       "      <td>1.50</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>45.745</td>\n",
       "      <td>2.30</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Togo</td>\n",
       "      <td>TGO</td>\n",
       "      <td>36.080</td>\n",
       "      <td>4.50</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Turkmenistan</td>\n",
       "      <td>TKM</td>\n",
       "      <td>21.322</td>\n",
       "      <td>9.60</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Timor-Leste</td>\n",
       "      <td>TLS</td>\n",
       "      <td>35.755</td>\n",
       "      <td>1.10</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>TZA</td>\n",
       "      <td>39.518</td>\n",
       "      <td>4.40</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>UGA</td>\n",
       "      <td>43.474</td>\n",
       "      <td>16.20</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.20</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.40</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Country Name Country Code  B_Rate  I_Users  \\\n",
       "1                 Afghanistan          AFG  35.253     5.90   \n",
       "2                      Angola          AGO  45.985    19.10   \n",
       "11                    Burundi          BDI  44.151     1.30   \n",
       "13                      Benin          BEN  36.440     4.90   \n",
       "14               Burkina Faso          BFA  40.551     9.10   \n",
       "15                 Bangladesh          BGD  20.142     6.63   \n",
       "29   Central African Republic          CAF  34.076     3.50   \n",
       "34              Cote d'Ivoire          CIV  37.320     8.40   \n",
       "35                   Cameroon          CMR  37.236     6.40   \n",
       "36                Congo, Rep.          COG  37.011     6.60   \n",
       "38                    Comoros          COM  34.326     6.50   \n",
       "46                   Djibouti          DJI  25.486     9.50   \n",
       "52                    Eritrea          ERI  34.800     0.90   \n",
       "55                   Ethiopia          ETH  32.925     1.90   \n",
       "60                      Gabon          GAB  30.555     9.20   \n",
       "64                     Guinea          GIN  37.337     1.60   \n",
       "65                Gambia, The          GMB  42.525    14.00   \n",
       "66              Guinea-Bissau          GNB  37.503     3.10   \n",
       "83                       Iraq          IRQ  31.093     9.20   \n",
       "93                   Cambodia          KHM  24.462     6.80   \n",
       "99                    Liberia          LBR  35.521     3.20   \n",
       "104                   Lesotho          LSO  28.738     5.00   \n",
       "111                Madagascar          MDG  34.686     3.00   \n",
       "115                      Mali          MLI  44.138     3.50   \n",
       "117                   Myanmar          MMR  18.119     1.60   \n",
       "120                Mozambique          MOZ  39.705     5.40   \n",
       "121                Mauritania          MRT  33.801     6.20   \n",
       "123                    Malawi          MWI  39.459     5.05   \n",
       "127                     Niger          NER  49.661     1.70   \n",
       "128                   Nigeria          NGA  40.045    38.00   \n",
       "139          Papua New Guinea          PNG  28.899     6.50   \n",
       "148                    Rwanda          RWA  32.689     9.00   \n",
       "153           Solomon Islands          SLB  30.578     8.00   \n",
       "154              Sierra Leone          SLE  36.729     1.70   \n",
       "156                   Somalia          SOM  43.891     1.50   \n",
       "167                      Chad          TCD  45.745     2.30   \n",
       "168                      Togo          TGO  36.080     4.50   \n",
       "171              Turkmenistan          TKM  21.322     9.60   \n",
       "172               Timor-Leste          TLS  35.755     1.10   \n",
       "177                  Tanzania          TZA  39.518     4.40   \n",
       "178                    Uganda          UGA  43.474    16.20   \n",
       "192          Congo, Dem. Rep.          COD  42.394     2.20   \n",
       "193                    Zambia          ZMB  40.471    15.40   \n",
       "\n",
       "              Income_Grp  Year  \n",
       "1             Low income  2021  \n",
       "2    Upper middle income  2021  \n",
       "11            Low income  2021  \n",
       "13            Low income  2021  \n",
       "14            Low income  2021  \n",
       "15   Lower middle income  2021  \n",
       "29            Low income  2021  \n",
       "34   Lower middle income  2021  \n",
       "35   Lower middle income  2021  \n",
       "36   Lower middle income  2021  \n",
       "38            Low income  2021  \n",
       "46   Lower middle income  2021  \n",
       "52            Low income  2021  \n",
       "55            Low income  2021  \n",
       "60   Upper middle income  2021  \n",
       "64            Low income  2021  \n",
       "65            Low income  2021  \n",
       "66            Low income  2021  \n",
       "83   Upper middle income  2021  \n",
       "93            Low income  2021  \n",
       "99            Low income  2021  \n",
       "104  Lower middle income  2021  \n",
       "111           Low income  2021  \n",
       "115           Low income  2021  \n",
       "117  Lower middle income  2021  \n",
       "120           Low income  2021  \n",
       "121  Lower middle income  2021  \n",
       "123           Low income  2021  \n",
       "127           Low income  2021  \n",
       "128  Lower middle income  2021  \n",
       "139  Lower middle income  2021  \n",
       "148           Low income  2021  \n",
       "153  Lower middle income  2021  \n",
       "154           Low income  2021  \n",
       "156           Low income  2021  \n",
       "167           Low income  2021  \n",
       "168           Low income  2021  \n",
       "171  Upper middle income  2021  \n",
       "172  Lower middle income  2021  \n",
       "177           Low income  2021  \n",
       "178           Low income  2021  \n",
       "192           Low income  2021  \n",
       "193  Lower middle income  2021  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[(stats.I_Users <10) | (stats.B_Rate  >40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>17.716</td>\n",
       "      <td>59.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARM</td>\n",
       "      <td>13.308</td>\n",
       "      <td>41.9</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>Samoa</td>\n",
       "      <td>WSM</td>\n",
       "      <td>26.172</td>\n",
       "      <td>15.3</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>147 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "5               Argentina          ARG  17.716     59.9          High income   \n",
       "6                 Armenia          ARM  13.308     41.9  Lower middle income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "189                 Samoa          WSM  26.172     15.3  Lower middle income   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year  \n",
       "0    2021  \n",
       "1    2021  \n",
       "4    2021  \n",
       "5    2021  \n",
       "6    2021  \n",
       "..    ...  \n",
       "189  2021  \n",
       "190  2021  \n",
       "192  2021  \n",
       "193  2021  \n",
       "194  2021  \n",
       "\n",
       "[147 rows x 6 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[(stats.Income_Grp !='Upper middle income')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>10.244</td>\n",
       "      <td>78.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>35.253</td>\n",
       "      <td>5.9</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>45.985</td>\n",
       "      <td>19.1</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>12.877</td>\n",
       "      <td>57.2</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>ARE</td>\n",
       "      <td>11.044</td>\n",
       "      <td>88.0</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>32.947</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>20.850</td>\n",
       "      <td>46.5</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>40.471</td>\n",
       "      <td>15.4</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>35.715</td>\n",
       "      <td>18.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "0                   Aruba          ABW  10.244     78.9          High income   \n",
       "1             Afghanistan          AFG  35.253      5.9           Low income   \n",
       "2                  Angola          AGO  45.985     19.1  Upper middle income   \n",
       "3                 Albania          ALB  12.877     57.2  Upper middle income   \n",
       "4    United Arab Emirates          ARE  11.044     88.0          High income   \n",
       "..                    ...          ...     ...      ...                  ...   \n",
       "190           Yemen, Rep.          YEM  32.947     20.0  Lower middle income   \n",
       "191          South Africa          ZAF  20.850     46.5  Upper middle income   \n",
       "192      Congo, Dem. Rep.          COD  42.394      2.2           Low income   \n",
       "193                Zambia          ZMB  40.471     15.4  Lower middle income   \n",
       "194              Zimbabwe          ZWE  35.715     18.5           Low income   \n",
       "\n",
       "     Year  \n",
       "0    2021  \n",
       "1    2021  \n",
       "2    2021  \n",
       "3    2021  \n",
       "4    2021  \n",
       "..    ...  \n",
       "190  2021  \n",
       "191  2021  \n",
       "192  2021  \n",
       "193  2021  \n",
       "194  2021  \n",
       "\n",
       "[195 rows x 6 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>44.151</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>40.551</td>\n",
       "      <td>9.1</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Mali</td>\n",
       "      <td>MLI</td>\n",
       "      <td>44.138</td>\n",
       "      <td>3.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>49.661</td>\n",
       "      <td>1.7</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>43.891</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>45.745</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country Name Country Code  B_Rate  I_Users  Income_Grp  Year\n",
       "11            Burundi          BDI  44.151      1.3  Low income  2021\n",
       "14       Burkina Faso          BFA  40.551      9.1  Low income  2021\n",
       "115              Mali          MLI  44.138      3.5  Low income  2021\n",
       "127             Niger          NER  49.661      1.7  Low income  2021\n",
       "156           Somalia          SOM  43.891      1.5  Low income  2021\n",
       "167              Chad          TCD  45.745      2.3  Low income  2021\n",
       "192  Congo, Dem. Rep.          COD  42.394      2.2  Low income  2021"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[(stats [\"I_Users\"] <10) & (stats [\"B_Rate\"]  >40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['High income', 'Low income', 'Upper middle income',\n",
       "       'Lower middle income'], dtype=object)"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.Income_Grp.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "High income            67\n",
       "Lower middle income    50\n",
       "Upper middle income    48\n",
       "Low income             30\n",
       "Name: Income_Grp, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.Income_Grp.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Noble\\\\Training\\\\Top Mentor\\\\Training\\\\Data Set'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = pd.read_csv('tips.csv')\n",
    "tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>smoker</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill smoker    time\n",
       "0         16.99     No  Dinner\n",
       "1         10.34     No  Dinner\n",
       "2         21.01     No  Dinner\n",
       "3         23.68     No  Dinner\n",
       "4         24.59     No  Dinner\n",
       "..          ...    ...     ...\n",
       "239       29.03     No  Dinner\n",
       "240       27.18    Yes  Dinner\n",
       "241       22.67    Yes  Dinner\n",
       "242       17.82     No  Dinner\n",
       "243       18.78     No  Dinner\n",
       "\n",
       "[244 rows x 3 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips[['total_bill', 'smoker', 'time']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>total_bill</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>No</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>25.29</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.77</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26.88</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15.04</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>14.78</td>\n",
       "      <td>No</td>\n",
       "      <td>Dinner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill smoker    time\n",
       "0       16.99     No  Dinner\n",
       "1       10.34     No  Dinner\n",
       "2       21.01     No  Dinner\n",
       "3       23.68     No  Dinner\n",
       "4       24.59     No  Dinner\n",
       "5       25.29     No  Dinner\n",
       "6        8.77     No  Dinner\n",
       "7       26.88     No  Dinner\n",
       "8       15.04     No  Dinner\n",
       "9       14.78     No  Dinner"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips[['total_bill', 'smoker', 'time']].head (10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>44.151</td>\n",
       "      <td>1.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>40.551</td>\n",
       "      <td>9.1</td>\n",
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       "      <th>115</th>\n",
       "      <td>Mali</td>\n",
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       "      <td>44.138</td>\n",
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       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>49.661</td>\n",
       "      <td>1.7</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>43.891</td>\n",
       "      <td>1.5</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>45.745</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country Name Country Code  B_Rate  I_Users  Income_Grp  Year\n",
       "11            Burundi          BDI  44.151      1.3  Low income  2021\n",
       "14       Burkina Faso          BFA  40.551      9.1  Low income  2021\n",
       "115              Mali          MLI  44.138      3.5  Low income  2021\n",
       "127             Niger          NER  49.661      1.7  Low income  2021\n",
       "156           Somalia          SOM  43.891      1.5  Low income  2021\n",
       "167              Chad          TCD  45.745      2.3  Low income  2021\n",
       "192  Congo, Dem. Rep.          COD  42.394      2.2  Low income  2021"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[(stats [\"I_Users\"] <10) & (stats [\"B_Rate\"]  >40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1       True\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "190    False\n",
       "191    False\n",
       "192     True\n",
       "193    False\n",
       "194    False\n",
       "Name: I_Users, Length: 195, dtype: bool"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats [\"I_Users\"] <10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>14</th>\n",
       "      <td>Burkina Faso</td>\n",
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       "      <td>40.551</td>\n",
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       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>115</th>\n",
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       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Niger</td>\n",
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       "      <td>1.7</td>\n",
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       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Somalia</td>\n",
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       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Chad</td>\n",
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       "      <td>45.745</td>\n",
       "      <td>2.3</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>42.394</td>\n",
       "      <td>2.2</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country Name Country Code  B_Rate  I_Users  Income_Grp  Year\n",
       "11            Burundi          BDI  44.151      1.3  Low income  2021\n",
       "14       Burkina Faso          BFA  40.551      9.1  Low income  2021\n",
       "115              Mali          MLI  44.138      3.5  Low income  2021\n",
       "127             Niger          NER  49.661      1.7  Low income  2021\n",
       "156           Somalia          SOM  43.891      1.5  Low income  2021\n",
       "167              Chad          TCD  45.745      2.3  Low income  2021\n",
       "192  Congo, Dem. Rep.          COD  42.394      2.2  Low income  2021"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[(stats [\"I_Users\"] <10) & (stats [\"B_Rate\"]  >40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
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       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code\n",
       "1  Afghanistan          AFG\n",
       "2       Angola          AGO"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[['Country Name','Country Code']].head(10).loc[1:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Country Name</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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      "text/plain": [
       "  Country Name Country Code\n",
       "1  Afghanistan          AFG\n",
       "2       Angola          AGO"
      ]
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     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "stats[['Country Name','Country Code']].head(10).loc[1:2]"
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   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    .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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code\n",
       "1  Afghanistan          AFG\n",
       "2       Angola          AGO"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[['Country Name','Country Code']].loc[1:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>240 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[240 rows x 7 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips[tips.time.notna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>18.43</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20.65</td>\n",
       "      <td>3.35</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>39.42</td>\n",
       "      <td>7.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>13.37</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    total_bill   tip   sex smoker  day time  size\n",
       "13       18.43  3.00  Male     No  Sun  NaN     4\n",
       "19       20.65  3.35  Male     No  Sat  NaN     3\n",
       "23       39.42  7.58   NaN     No  Sat  NaN     4\n",
       "26       13.37  2.00  Male     No  Sat  NaN     2"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips[tips.time.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>B_Rate</th>\n",
       "      <th>I_Users</th>\n",
       "      <th>Income_Grp</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>17.716</td>\n",
       "      <td>59.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARM</td>\n",
       "      <td>13.308</td>\n",
       "      <td>41.9</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>ATG</td>\n",
       "      <td>16.447</td>\n",
       "      <td>63.4</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country Name Country Code  B_Rate  I_Users           Income_Grp  \\\n",
       "5            Argentina          ARG  17.716     59.9          High income   \n",
       "6              Armenia          ARM  13.308     41.9  Lower middle income   \n",
       "7  Antigua and Barbuda          ATG  16.447     63.4          High income   \n",
       "\n",
       "   Year  \n",
       "5  2021  \n",
       "6  2021  \n",
       "7  2021  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.loc[5:7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "      <th></th>\n",
       "      <th>Country Name</th>\n",
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       "  <tbody>\n",
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       "      <th>5</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>17.716</td>\n",
       "      <td>59.9</td>\n",
       "      <td>High income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARM</td>\n",
       "      <td>13.308</td>\n",
       "      <td>41.9</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code  B_Rate  I_Users           Income_Grp  Year\n",
       "5    Argentina          ARG  17.716     59.9          High income  2021\n",
       "6      Armenia          ARM  13.308     41.9  Lower middle income  2021"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.iloc[5:7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time\n",
       "Dinner    172\n",
       "Lunch      68\n",
       "dtype: int64"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby('time').size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "day\n",
       "Fri     19\n",
       "Sat     84\n",
       "Sun     73\n",
       "Thur    62\n",
       "dtype: int64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby('day').size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
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       "    <tr>\n",
       "      <th>time</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dinner</th>\n",
       "      <td>172</td>\n",
       "      <td>172</td>\n",
       "      <td>170</td>\n",
       "      <td>171</td>\n",
       "      <td>166</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lunch</th>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
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      ],
      "text/plain": [
       "        total_bill  tip  sex  smoker  day  size\n",
       "time                                           \n",
       "Dinner         172  172  170     171  166   172\n",
       "Lunch           68   68   68      68   68    68"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby('time').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>81</td>\n",
       "      <td>83</td>\n",
       "      <td>81</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>72</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thur</th>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      total_bill  tip  sex  smoker  time  size\n",
       "day                                           \n",
       "Fri           19   19   19      19    19    19\n",
       "Sat           84   84   81      83    81    84\n",
       "Sun           73   73   73      73    72    73\n",
       "Thur          62   62   62      62    62    62"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby('day').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>tip</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>2.734737</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>3.009762</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>3.229726</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thur</th>\n",
       "      <td>2.771452</td>\n",
       "      <td>62</td>\n",
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      ],
      "text/plain": [
       "           tip  day\n",
       "day                \n",
       "Fri   2.734737   19\n",
       "Sat   3.009762   84\n",
       "Sun   3.229726   73\n",
       "Thur  2.771452   62"
      ]
     },
     "execution_count": 116,
     "metadata": {},
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    }
   ],
   "source": [
    "tips.groupby ('day').agg({'tip':np.mean,'day':np.size})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>tip</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>51.96</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>252.82</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>235.77</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thur</th>\n",
       "      <td>171.83</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "         tip  day\n",
       "day              \n",
       "Fri    51.96   19\n",
       "Sat   252.82   84\n",
       "Sun   235.77   73\n",
       "Thur  171.83   62"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby ('day').agg({'tip':np.sum,'day':np.size})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>day</th>\n",
       "      <th>smoker</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Fri</th>\n",
       "      <th>No</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.812500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>15.0</td>\n",
       "      <td>2.714000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Sat</th>\n",
       "      <th>No</th>\n",
       "      <td>41.0</td>\n",
       "      <td>3.121220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>42.0</td>\n",
       "      <td>2.875476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Sun</th>\n",
       "      <th>No</th>\n",
       "      <td>54.0</td>\n",
       "      <td>3.128704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>19.0</td>\n",
       "      <td>3.516842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Thur</th>\n",
       "      <th>No</th>\n",
       "      <td>45.0</td>\n",
       "      <td>2.673778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yes</th>\n",
       "      <td>17.0</td>\n",
       "      <td>3.030000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              tip          \n",
       "             size      mean\n",
       "day  smoker                \n",
       "Fri  No       4.0  2.812500\n",
       "     Yes     15.0  2.714000\n",
       "Sat  No      41.0  3.121220\n",
       "     Yes     42.0  2.875476\n",
       "Sun  No      54.0  3.128704\n",
       "     Yes     19.0  3.516842\n",
       "Thur No      45.0  2.673778\n",
       "     Yes     17.0  3.030000"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby (['day','smoker'] ).agg({'tip':[np.size,np.mean]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">tip</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>day</th>\n",
       "      <th>sex</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Fri</th>\n",
       "      <th>Female</th>\n",
       "      <td>9.0</td>\n",
       "      <td>25.03</td>\n",
       "      <td>2.781111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>10.0</td>\n",
       "      <td>26.93</td>\n",
       "      <td>2.693000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Sat</th>\n",
       "      <th>Female</th>\n",
       "      <td>27.0</td>\n",
       "      <td>75.45</td>\n",
       "      <td>2.794444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>54.0</td>\n",
       "      <td>163.21</td>\n",
       "      <td>3.022407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Sun</th>\n",
       "      <th>Female</th>\n",
       "      <td>16.0</td>\n",
       "      <td>52.11</td>\n",
       "      <td>3.256875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>57.0</td>\n",
       "      <td>183.66</td>\n",
       "      <td>3.222105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Thur</th>\n",
       "      <th>Female</th>\n",
       "      <td>32.0</td>\n",
       "      <td>82.42</td>\n",
       "      <td>2.575625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>30.0</td>\n",
       "      <td>89.41</td>\n",
       "      <td>2.980333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              tip                  \n",
       "             size     sum      mean\n",
       "day  sex                           \n",
       "Fri  Female   9.0   25.03  2.781111\n",
       "     Male    10.0   26.93  2.693000\n",
       "Sat  Female  27.0   75.45  2.794444\n",
       "     Male    54.0  163.21  3.022407\n",
       "Sun  Female  16.0   52.11  3.256875\n",
       "     Male    57.0  183.66  3.222105\n",
       "Thur Female  32.0   82.42  2.575625\n",
       "     Male    30.0   89.41  2.980333"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.groupby(['day','sex']).agg({'tip':[np.size,np.sum,np.mean]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <td>44.31</td>\n",
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       "      <th>Thur</th>\n",
       "      <td>17.72</td>\n",
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      "text/plain": [
       "        tip  day\n",
       "day             \n",
       "Sat   50.89    7\n",
       "Sun   44.31    8\n",
       "Thur  17.72    3"
      ]
     },
     "execution_count": 127,
     "metadata": {},
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   ],
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    "tips[tips.tip>5].groupby ('day').agg({'tip':np.sum,'day':np.size})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>85</th>\n",
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       "    <tr>\n",
       "      <th>88</th>\n",
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       "    <tr>\n",
       "      <th>116</th>\n",
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       "      <td>4</td>\n",
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       "      <th>141</th>\n",
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       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Lunch</td>\n",
       "      <td>6</td>\n",
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       "      <th>155</th>\n",
       "      <td>29.85</td>\n",
       "      <td>5.14</td>\n",
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       "      <td>No</td>\n",
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       "      <td>Dinner</td>\n",
       "      <td>5</td>\n",
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       "      <th>170</th>\n",
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       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>7.25</td>\n",
       "      <td>5.15</td>\n",
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       "      <td>2</td>\n",
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       "      <td>23.33</td>\n",
       "      <td>5.65</td>\n",
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       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
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       "      <th>183</th>\n",
       "      <td>23.17</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>25.89</td>\n",
       "      <td>5.16</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>48.33</td>\n",
       "      <td>9.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>28.17</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill    tip     sex smoker   day    time  size\n",
       "23        39.42   7.58     NaN     No   Sat     NaN     4\n",
       "44        30.40   5.60    Male     No   Sun  Dinner     4\n",
       "47        32.40   6.00    Male     No   Sun  Dinner     4\n",
       "52        34.81   5.20  Female     No   Sun  Dinner     4\n",
       "59        48.27   6.73    Male     No   Sat  Dinner     4\n",
       "85        34.83   5.17  Female     No  Thur   Lunch     4\n",
       "88        24.71   5.85    Male     No  Thur   Lunch     2\n",
       "116       29.93   5.07    Male     No   Sun  Dinner     4\n",
       "141       34.30   6.70    Male     No  Thur   Lunch     6\n",
       "155       29.85   5.14  Female     No   Sun  Dinner     5\n",
       "170       50.81  10.00    Male    Yes   Sat  Dinner     3\n",
       "172        7.25   5.15    Male    Yes   Sun  Dinner     2\n",
       "181       23.33   5.65    Male    Yes   Sun  Dinner     2\n",
       "183       23.17   6.50    Male    Yes   Sun  Dinner     4\n",
       "211       25.89   5.16    Male    Yes   Sat  Dinner     4\n",
       "212       48.33   9.00    Male     No   Sat  Dinner     4\n",
       "214       28.17   6.50  Female    Yes   Sat  Dinner     3\n",
       "239       29.03   5.92    Male     No   Sat  Dinner     3"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips[tips.tip>5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "tips.iloc [44:45,5]='BF'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
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       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
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     "execution_count": 144,
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   "source": [
    "tips"
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  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "len(tips[tips.tip>5])"
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  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
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       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[226 rows x 7 columns]"
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     },
     "execution_count": 153,
     "metadata": {},
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   "source": [
    "tips[tips.tip<=5]"
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  },
  {
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   "execution_count": 154,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[226 rows x 7 columns]"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips1 = tips[tips.tip<=5]\n",
    "tips1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
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       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
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       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "237       32.83  1.17    Male    Yes   Sat  Dinner     2\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[225 rows x 7 columns]"
      ]
     },
     "execution_count": 155,
     "metadata": {},
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    "tips.drop(242)"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tips.drop(242)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
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       "     total_bill   tip     sex smoker  day    time  size\n",
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       "3         23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No  Sun  Dinner     4\n",
       "..          ...   ...     ...    ...  ...     ...   ...\n",
       "186       20.90  3.50  Female    Yes  Sun  Dinner     3\n",
       "187       30.46  2.00    Male    Yes  Sun  Dinner     5\n",
       "188       18.15  3.50  Female    Yes  Sun  Dinner     3\n",
       "189       23.10  4.00    Male    Yes  Sun  Dinner     3\n",
       "190       15.69  1.50    Male    Yes  Sun  Dinner     2\n",
       "\n",
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     },
     "execution_count": 157,
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   "source": [
    "tips[tips.day== 'Sun']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[226 rows x 7 columns]"
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     },
     "execution_count": 158,
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   "source": [
    "tips"
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  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
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       "      <td>35.26</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>16.97</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20.65</td>\n",
       "      <td>3.35</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>17.92</td>\n",
       "      <td>4.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>35.83</td>\n",
       "      <td>4.67</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>161 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "7         26.88  3.12    Male     No   NaN  Dinner     4\n",
       "11        35.26  5.00  Female     No   NaN  Dinner     4\n",
       "18        16.97  3.50  Female     No   NaN  Dinner     3\n",
       "19        20.65  3.35    Male     No   Sat     NaN     3\n",
       "20        17.92  4.08     NaN    NaN   Sat  Dinner     2\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[161 rows x 7 columns]"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = tips.drop(tips[tips.day == 'Sun'].index)\n",
    "tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
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       "  <tbody>\n",
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      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [total_bill, tip, sex, smoker, day, time, size]\n",
       "Index: []"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips[tips.day == 'Sun'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <th>21</th>\n",
       "      <td>20.29</td>\n",
       "      <td>2.75</td>\n",
       "      <td>Female</td>\n",
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       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
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       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "7         26.88  3.12    Male     No   NaN  Dinner     4\n",
       "18        16.97  3.50  Female     No   NaN  Dinner     3\n",
       "19        20.65  3.35    Male     No   Sat     NaN     3\n",
       "20        17.92  4.08     NaN    NaN   Sat  Dinner     2\n",
       "21        20.29  2.75  Female     No   Sat  Dinner     2\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "238       35.83  4.67  Female     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[160 rows x 7 columns]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.drop(11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  7,  11,  18,  19,  20,  21,  22,  24,  25,  26,  27,  28,  29,\n",
       "        30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  56,  57,\n",
       "        58,  60,  61,  62,  63,  64,  65,  66,  67,  68,  69,  70,  71,\n",
       "        72,  73,  74,  75,  76,  77,  78,  79,  80,  81,  82,  83,  84,\n",
       "        86,  87,  89,  90,  91,  92,  93,  94,  95,  96,  97,  98,  99,\n",
       "       100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 117,\n",
       "       118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130,\n",
       "       131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 143, 144,\n",
       "       145, 146, 147, 148, 149, 168, 169, 171, 191, 192, 193, 194, 195,\n",
       "       196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
       "       209, 210, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224,\n",
       "       225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237,\n",
       "       238, 240, 241, 242, 243], dtype=int64)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.index.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'], dtype='object')"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.columns"
   ]
  }
 ],
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