{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing required packages\n",
    "import pandas as pd\n",
    "\n",
    "# setting default option\n",
    "pd.set_option(\"mode.copy_on_write\", True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>Notes</th>\n",
       "      <th>State</th>\n",
       "      <th>State Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Yearly July 1st Estimates</th>\n",
       "      <th>Yearly July 1st Estimates Code</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16408</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Gogebic County, MI</td>\n",
       "      <td>26053.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>16811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38823</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Washington</td>\n",
       "      <td>53.0</td>\n",
       "      <td>Pierce County, WA</td>\n",
       "      <td>53053.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>785400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40791</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Lincoln County, WY</td>\n",
       "      <td>56023.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>18342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>54.0</td>\n",
       "      <td>Grant County, WV</td>\n",
       "      <td>54023.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>11406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22278</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>31.0</td>\n",
       "      <td>Lancaster County, NE</td>\n",
       "      <td>31109.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>293515</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Notes          State  State Code                County  County Code  \\\n",
       "16408   NaN       Michigan        26.0    Gogebic County, MI      26053.0   \n",
       "38823   NaN     Washington        53.0     Pierce County, WA      53053.0   \n",
       "40791   NaN        Wyoming        56.0    Lincoln County, WY      56023.0   \n",
       "39130   NaN  West Virginia        54.0      Grant County, WV      54023.0   \n",
       "22278   NaN       Nebraska        31.0  Lancaster County, NE      31109.0   \n",
       "\n",
       "       Yearly July 1st Estimates  Yearly July 1st Estimates Code Population  \n",
       "16408                     2005.0                          2005.0      16811  \n",
       "38823                     2008.0                          2008.0     785400  \n",
       "40791                     2013.0                          2013.0      18342  \n",
       "39130                     2003.0                          2003.0      11406  \n",
       "22278                     2012.0                          2012.0     293515  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load Raw Data File\n",
    "df = pd.read_csv(\"../.01_Data/01_Raw/raw_population.txt\", sep=\"\\t\")\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 41037 entries, 0 to 41036\n",
      "Data columns (total 8 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   Notes                           100 non-null    object \n",
      " 1   State                           40937 non-null  object \n",
      " 2   State Code                      40937 non-null  float64\n",
      " 3   County                          40937 non-null  object \n",
      " 4   County Code                     40937 non-null  float64\n",
      " 5   Yearly July 1st Estimates       40937 non-null  float64\n",
      " 6   Yearly July 1st Estimates Code  40937 non-null  float64\n",
      " 7   Population                      40937 non-null  object \n",
      "dtypes: float64(4), object(4)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>Notes</th>\n",
       "      <th>State</th>\n",
       "      <th>State Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Yearly July 1st Estimates</th>\n",
       "      <th>Yearly July 1st Estimates Code</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40937</th>\n",
       "      <td>---</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40938</th>\n",
       "      <td>Dataset: Bridged-Race Population Estimates 199...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40939</th>\n",
       "      <td>Query Parameters:</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40940</th>\n",
       "      <td>Yearly July 1st Estimates: 2003; 2004; 2005; 2...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40941</th>\n",
       "      <td>Group By: State; County; Yearly July 1st Estim...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41032</th>\n",
       "      <td>City are available only for the years prior to...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41033</th>\n",
       "      <td>1999 and 2000 due to the addition of population.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41034</th>\n",
       "      <td>20. South Boston City, Virginia (FIPS code 517...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41035</th>\n",
       "      <td>June 30, 1995. This change was made retroactiv...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41036</th>\n",
       "      <td>have been reported with Halifax County since y...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   Notes State  State Code  \\\n",
       "40937                                                ---   NaN         NaN   \n",
       "40938  Dataset: Bridged-Race Population Estimates 199...   NaN         NaN   \n",
       "40939                                  Query Parameters:   NaN         NaN   \n",
       "40940  Yearly July 1st Estimates: 2003; 2004; 2005; 2...   NaN         NaN   \n",
       "40941  Group By: State; County; Yearly July 1st Estim...   NaN         NaN   \n",
       "...                                                  ...   ...         ...   \n",
       "41032  City are available only for the years prior to...   NaN         NaN   \n",
       "41033   1999 and 2000 due to the addition of population.   NaN         NaN   \n",
       "41034  20. South Boston City, Virginia (FIPS code 517...   NaN         NaN   \n",
       "41035  June 30, 1995. This change was made retroactiv...   NaN         NaN   \n",
       "41036  have been reported with Halifax County since y...   NaN         NaN   \n",
       "\n",
       "      County  County Code  Yearly July 1st Estimates  \\\n",
       "40937    NaN          NaN                        NaN   \n",
       "40938    NaN          NaN                        NaN   \n",
       "40939    NaN          NaN                        NaN   \n",
       "40940    NaN          NaN                        NaN   \n",
       "40941    NaN          NaN                        NaN   \n",
       "...      ...          ...                        ...   \n",
       "41032    NaN          NaN                        NaN   \n",
       "41033    NaN          NaN                        NaN   \n",
       "41034    NaN          NaN                        NaN   \n",
       "41035    NaN          NaN                        NaN   \n",
       "41036    NaN          NaN                        NaN   \n",
       "\n",
       "       Yearly July 1st Estimates Code Population  \n",
       "40937                             NaN        NaN  \n",
       "40938                             NaN        NaN  \n",
       "40939                             NaN        NaN  \n",
       "40940                             NaN        NaN  \n",
       "40941                             NaN        NaN  \n",
       "...                               ...        ...  \n",
       "41032                             NaN        NaN  \n",
       "41033                             NaN        NaN  \n",
       "41034                             NaN        NaN  \n",
       "41035                             NaN        NaN  \n",
       "41036                             NaN        NaN  \n",
       "\n",
       "[100 rows x 8 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the rows which have text values in notes column\n",
    "df[df[\"Notes\"].notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# droping notes column\n",
    "df1 = df.drop(columns=[\"Notes\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# removing the rows with na values generated due to Notes, using state column for reference\n",
    "df1 = df1.dropna(subset=[\"State\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropping alaska\n",
    "df1 = df1[df1[\"State\"] != \"Alaska\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>State Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Yearly July 1st Estimates</th>\n",
       "      <th>Yearly July 1st Estimates Code</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26545</th>\n",
       "      <td>North Dakota</td>\n",
       "      <td>38.0</td>\n",
       "      <td>Stutsman County, ND</td>\n",
       "      <td>38093.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>21090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23363</th>\n",
       "      <td>New Jersey</td>\n",
       "      <td>34.0</td>\n",
       "      <td>Sussex County, NJ</td>\n",
       "      <td>34037.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>150192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35046</th>\n",
       "      <td>Texas</td>\n",
       "      <td>48.0</td>\n",
       "      <td>Mitchell County, TX</td>\n",
       "      <td>48335.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>9075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13607</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Harrison County, KY</td>\n",
       "      <td>21097.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>18612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12325</th>\n",
       "      <td>Kansas</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Lyon County, KS</td>\n",
       "      <td>20111.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>36034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              State  State Code               County  County Code  \\\n",
       "26545  North Dakota        38.0  Stutsman County, ND      38093.0   \n",
       "23363    New Jersey        34.0    Sussex County, NJ      34037.0   \n",
       "35046         Texas        48.0  Mitchell County, TX      48335.0   \n",
       "13607      Kentucky        21.0  Harrison County, KY      21097.0   \n",
       "12325        Kansas        20.0      Lyon County, KS      20111.0   \n",
       "\n",
       "       Yearly July 1st Estimates  Yearly July 1st Estimates Code Population  \n",
       "26545                     2015.0                          2015.0      21090  \n",
       "23363                     2005.0                          2005.0     150192  \n",
       "35046                     2014.0                          2014.0       9075  \n",
       "13607                     2012.0                          2012.0      18612  \n",
       "12325                     2004.0                          2004.0      36034  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 40495 entries, 0 to 40936\n",
      "Data columns (total 7 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   State                           40495 non-null  object \n",
      " 1   State Code                      40495 non-null  float64\n",
      " 2   County                          40495 non-null  object \n",
      " 3   County Code                     40495 non-null  float64\n",
      " 4   Yearly July 1st Estimates       40495 non-null  float64\n",
      " 5   Yearly July 1st Estimates Code  40495 non-null  float64\n",
      " 6   Population                      40495 non-null  object \n",
      "dtypes: float64(4), object(3)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# validate if yealry estimate and estimate code are same\n",
    "df1[\"Yearly July 1st Estimates\"].equals(df1[\"Yearly July 1st Estimates Code\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Correcting Data Types\n",
    "df2 = df1.copy()\n",
    "\n",
    "# Saving state code as padded string\n",
    "df2[\"State Code\"] = df2[\"State Code\"].astype(int).astype(str).str.zfill(2)\n",
    "\n",
    "# Saving county code as padded string\n",
    "df2[\"County Code\"] = df2[\"County Code\"].astype(int).astype(str).str.zfill(5)\n",
    "\n",
    "# Converting Year to Integer\n",
    "df2[\"Yearly July 1st Estimates\"] = df2[\"Yearly July 1st Estimates\"].astype(int)\n",
    "\n",
    "# Converting Population to Integer\n",
    "# replacing the missing values with 0 for now\n",
    "df2[\"Population\"] = df2[\"Population\"].replace(\"Missing\", 0)\n",
    "df2[\"Population\"] = df2[\"Population\"].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>State Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County Code</th>\n",
       "      <th>Yearly July 1st Estimates</th>\n",
       "      <th>Yearly July 1st Estimates Code</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18532</th>\n",
       "      <td>Mississippi</td>\n",
       "      <td>28</td>\n",
       "      <td>George County, MS</td>\n",
       "      <td>28039</td>\n",
       "      <td>2010</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>22653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20169</th>\n",
       "      <td>Missouri</td>\n",
       "      <td>29</td>\n",
       "      <td>Marion County, MO</td>\n",
       "      <td>29127</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>28720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17948</th>\n",
       "      <td>Minnesota</td>\n",
       "      <td>27</td>\n",
       "      <td>Ramsey County, MN</td>\n",
       "      <td>27123</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>515856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37444</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>51</td>\n",
       "      <td>Madison County, VA</td>\n",
       "      <td>51113</td>\n",
       "      <td>2007</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>13429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24046</th>\n",
       "      <td>New York</td>\n",
       "      <td>36</td>\n",
       "      <td>Franklin County, NY</td>\n",
       "      <td>36033</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>51791</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             State State Code               County County Code  \\\n",
       "18532  Mississippi         28    George County, MS       28039   \n",
       "20169     Missouri         29    Marion County, MO       29127   \n",
       "17948    Minnesota         27    Ramsey County, MN       27123   \n",
       "37444     Virginia         51   Madison County, VA       51113   \n",
       "24046     New York         36  Franklin County, NY       36033   \n",
       "\n",
       "       Yearly July 1st Estimates  Yearly July 1st Estimates Code  Population  \n",
       "18532                       2010                          2010.0       22653  \n",
       "20169                       2009                          2009.0       28720  \n",
       "17948                       2011                          2011.0      515856  \n",
       "37444                       2007                          2007.0       13429  \n",
       "24046                       2012                          2012.0       51791  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 40495 entries, 0 to 40936\n",
      "Data columns (total 7 columns):\n",
      " #   Column                          Non-Null Count  Dtype  \n",
      "---  ------                          --------------  -----  \n",
      " 0   State                           40495 non-null  object \n",
      " 1   State Code                      40495 non-null  object \n",
      " 2   County                          40495 non-null  object \n",
      " 3   County Code                     40495 non-null  object \n",
      " 4   Yearly July 1st Estimates       40495 non-null  int64  \n",
      " 5   Yearly July 1st Estimates Code  40495 non-null  float64\n",
      " 6   Population                      40495 non-null  int64  \n",
      "dtypes: float64(1), int64(2), object(4)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = df2.copy()\n",
    "\n",
    "# rename columns\n",
    "df3 = df3.rename(\n",
    "    columns={\n",
    "        \"Yearly July 1st Estimates\": \"Year\",\n",
    "        \"State Code\": \"State_Code\",\n",
    "        \"County Code\": \"County_Code\",\n",
    "    }\n",
    ")\n",
    "\n",
    "# reorder columns\n",
    "df3 = df3[\n",
    "    [\n",
    "        \"State\",\n",
    "        \"State_Code\",\n",
    "        \"County\",\n",
    "        \"County_Code\",\n",
    "        \"Year\",\n",
    "        \"Population\",\n",
    "    ]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>State</th>\n",
       "      <th>State_Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County_Code</th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19741</th>\n",
       "      <td>Missouri</td>\n",
       "      <td>29</td>\n",
       "      <td>Daviess County, MO</td>\n",
       "      <td>29061</td>\n",
       "      <td>2010</td>\n",
       "      <td>8444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27063</th>\n",
       "      <td>Ohio</td>\n",
       "      <td>39</td>\n",
       "      <td>Harrison County, OH</td>\n",
       "      <td>39067</td>\n",
       "      <td>2013</td>\n",
       "      <td>15598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>01</td>\n",
       "      <td>Monroe County, AL</td>\n",
       "      <td>01099</td>\n",
       "      <td>2012</td>\n",
       "      <td>22582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15374</th>\n",
       "      <td>Maine</td>\n",
       "      <td>23</td>\n",
       "      <td>Androscoggin County, ME</td>\n",
       "      <td>23001</td>\n",
       "      <td>2011</td>\n",
       "      <td>107458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1705</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Craighead County, AR</td>\n",
       "      <td>05031</td>\n",
       "      <td>2005</td>\n",
       "      <td>87512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          State State_Code                   County County_Code  Year  \\\n",
       "19741  Missouri         29       Daviess County, MO       29061  2010   \n",
       "27063      Ohio         39      Harrison County, OH       39067  2013   \n",
       "646     Alabama         01        Monroe County, AL       01099  2012   \n",
       "15374     Maine         23  Androscoggin County, ME       23001  2011   \n",
       "1705   Arkansas         05     Craighead County, AR       05031  2005   \n",
       "\n",
       "       Population  \n",
       "19741        8444  \n",
       "27063       15598  \n",
       "646         22582  \n",
       "15374      107458  \n",
       "1705        87512  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>BUYER_COUNTY</th>\n",
       "      <th>BUYER_STATE</th>\n",
       "      <th>countyfips</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2151</th>\n",
       "      <td>GARVIN</td>\n",
       "      <td>OK</td>\n",
       "      <td>40049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>LAKE</td>\n",
       "      <td>CO</td>\n",
       "      <td>8065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>IN</td>\n",
       "      <td>18175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>MONROE</td>\n",
       "      <td>GA</td>\n",
       "      <td>13207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2114</th>\n",
       "      <td>STARK</td>\n",
       "      <td>OH</td>\n",
       "      <td>39151</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     BUYER_COUNTY BUYER_STATE  countyfips\n",
       "2151       GARVIN          OK       40049\n",
       "274          LAKE          CO        8065\n",
       "780    WASHINGTON          IN       18175\n",
       "485        MONROE          GA       13207\n",
       "2114        STARK          OH       39151"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# maps with fips for proper county names\n",
    "fips = pd.read_csv(\"../.01_Data/01_Raw/county_fips.csv\")\n",
    "fips.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# padding fips to have consistency\n",
    "fips[\"countyfips\"] = fips[\"countyfips\"].astype(str).str.zfill(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# performing left join to get the county names\n",
    "df4 = pd.merge(\n",
    "    df3,\n",
    "    fips,\n",
    "    how=\"left\",\n",
    "    left_on=\"County_Code\",\n",
    "    right_on=\"countyfips\",\n",
    "    validate=\"m:1\",\n",
    "    indicator=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "_merge\n",
       "both          40456\n",
       "left_only        39\n",
       "right_only        0\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# validate match for all rows\n",
    "df4[\"_merge\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>State</th>\n",
       "      <th>State_Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County_Code</th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "      <th>BUYER_COUNTY</th>\n",
       "      <th>BUYER_STATE</th>\n",
       "      <th>countyfips</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1690</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2003</td>\n",
       "      <td>9239</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1691</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2004</td>\n",
       "      <td>9334</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1692</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2005</td>\n",
       "      <td>9358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1693</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2006</td>\n",
       "      <td>9437</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1694</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2007</td>\n",
       "      <td>9478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1695</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2008</td>\n",
       "      <td>9573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1696</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2009</td>\n",
       "      <td>9490</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1697</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2010</td>\n",
       "      <td>9515</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1698</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2011</td>\n",
       "      <td>9404</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2012</td>\n",
       "      <td>9344</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2013</td>\n",
       "      <td>9254</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1701</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2014</td>\n",
       "      <td>9163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1702</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Montgomery County, AR</td>\n",
       "      <td>05097</td>\n",
       "      <td>2015</td>\n",
       "      <td>9029</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6747</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2003</td>\n",
       "      <td>127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6748</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2004</td>\n",
       "      <td>117</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6749</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2005</td>\n",
       "      <td>114</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6750</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2006</td>\n",
       "      <td>109</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6751</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2007</td>\n",
       "      <td>105</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6752</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2008</td>\n",
       "      <td>99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6753</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2009</td>\n",
       "      <td>93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6754</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2010</td>\n",
       "      <td>90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6755</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2011</td>\n",
       "      <td>90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6756</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2012</td>\n",
       "      <td>89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6757</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2013</td>\n",
       "      <td>89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6758</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2014</td>\n",
       "      <td>89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6759</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>15</td>\n",
       "      <td>Kalawao County, HI</td>\n",
       "      <td>15005</td>\n",
       "      <td>2015</td>\n",
       "      <td>88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30979</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2003</td>\n",
       "      <td>12993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30980</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2004</td>\n",
       "      <td>12983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30981</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2005</td>\n",
       "      <td>13150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30982</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2006</td>\n",
       "      <td>13404</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30983</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2007</td>\n",
       "      <td>13345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30984</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2008</td>\n",
       "      <td>13368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30985</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2009</td>\n",
       "      <td>13425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30986</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2010</td>\n",
       "      <td>13636</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30987</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2011</td>\n",
       "      <td>13897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30988</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2012</td>\n",
       "      <td>14041</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30989</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2013</td>\n",
       "      <td>14130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30990</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2014</td>\n",
       "      <td>14217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30991</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>46</td>\n",
       "      <td>Oglala Lakota County, SD</td>\n",
       "      <td>46102</td>\n",
       "      <td>2015</td>\n",
       "      <td>14364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              State State_Code                    County County_Code  Year  \\\n",
       "1690       Arkansas         05     Montgomery County, AR       05097  2003   \n",
       "1691       Arkansas         05     Montgomery County, AR       05097  2004   \n",
       "1692       Arkansas         05     Montgomery County, AR       05097  2005   \n",
       "1693       Arkansas         05     Montgomery County, AR       05097  2006   \n",
       "1694       Arkansas         05     Montgomery County, AR       05097  2007   \n",
       "1695       Arkansas         05     Montgomery County, AR       05097  2008   \n",
       "1696       Arkansas         05     Montgomery County, AR       05097  2009   \n",
       "1697       Arkansas         05     Montgomery County, AR       05097  2010   \n",
       "1698       Arkansas         05     Montgomery County, AR       05097  2011   \n",
       "1699       Arkansas         05     Montgomery County, AR       05097  2012   \n",
       "1700       Arkansas         05     Montgomery County, AR       05097  2013   \n",
       "1701       Arkansas         05     Montgomery County, AR       05097  2014   \n",
       "1702       Arkansas         05     Montgomery County, AR       05097  2015   \n",
       "6747         Hawaii         15        Kalawao County, HI       15005  2003   \n",
       "6748         Hawaii         15        Kalawao County, HI       15005  2004   \n",
       "6749         Hawaii         15        Kalawao County, HI       15005  2005   \n",
       "6750         Hawaii         15        Kalawao County, HI       15005  2006   \n",
       "6751         Hawaii         15        Kalawao County, HI       15005  2007   \n",
       "6752         Hawaii         15        Kalawao County, HI       15005  2008   \n",
       "6753         Hawaii         15        Kalawao County, HI       15005  2009   \n",
       "6754         Hawaii         15        Kalawao County, HI       15005  2010   \n",
       "6755         Hawaii         15        Kalawao County, HI       15005  2011   \n",
       "6756         Hawaii         15        Kalawao County, HI       15005  2012   \n",
       "6757         Hawaii         15        Kalawao County, HI       15005  2013   \n",
       "6758         Hawaii         15        Kalawao County, HI       15005  2014   \n",
       "6759         Hawaii         15        Kalawao County, HI       15005  2015   \n",
       "30979  South Dakota         46  Oglala Lakota County, SD       46102  2003   \n",
       "30980  South Dakota         46  Oglala Lakota County, SD       46102  2004   \n",
       "30981  South Dakota         46  Oglala Lakota County, SD       46102  2005   \n",
       "30982  South Dakota         46  Oglala Lakota County, SD       46102  2006   \n",
       "30983  South Dakota         46  Oglala Lakota County, SD       46102  2007   \n",
       "30984  South Dakota         46  Oglala Lakota County, SD       46102  2008   \n",
       "30985  South Dakota         46  Oglala Lakota County, SD       46102  2009   \n",
       "30986  South Dakota         46  Oglala Lakota County, SD       46102  2010   \n",
       "30987  South Dakota         46  Oglala Lakota County, SD       46102  2011   \n",
       "30988  South Dakota         46  Oglala Lakota County, SD       46102  2012   \n",
       "30989  South Dakota         46  Oglala Lakota County, SD       46102  2013   \n",
       "30990  South Dakota         46  Oglala Lakota County, SD       46102  2014   \n",
       "30991  South Dakota         46  Oglala Lakota County, SD       46102  2015   \n",
       "\n",
       "       Population BUYER_COUNTY BUYER_STATE countyfips     _merge  \n",
       "1690         9239          NaN         NaN        NaN  left_only  \n",
       "1691         9334          NaN         NaN        NaN  left_only  \n",
       "1692         9358          NaN         NaN        NaN  left_only  \n",
       "1693         9437          NaN         NaN        NaN  left_only  \n",
       "1694         9478          NaN         NaN        NaN  left_only  \n",
       "1695         9573          NaN         NaN        NaN  left_only  \n",
       "1696         9490          NaN         NaN        NaN  left_only  \n",
       "1697         9515          NaN         NaN        NaN  left_only  \n",
       "1698         9404          NaN         NaN        NaN  left_only  \n",
       "1699         9344          NaN         NaN        NaN  left_only  \n",
       "1700         9254          NaN         NaN        NaN  left_only  \n",
       "1701         9163          NaN         NaN        NaN  left_only  \n",
       "1702         9029          NaN         NaN        NaN  left_only  \n",
       "6747          127          NaN         NaN        NaN  left_only  \n",
       "6748          117          NaN         NaN        NaN  left_only  \n",
       "6749          114          NaN         NaN        NaN  left_only  \n",
       "6750          109          NaN         NaN        NaN  left_only  \n",
       "6751          105          NaN         NaN        NaN  left_only  \n",
       "6752           99          NaN         NaN        NaN  left_only  \n",
       "6753           93          NaN         NaN        NaN  left_only  \n",
       "6754           90          NaN         NaN        NaN  left_only  \n",
       "6755           90          NaN         NaN        NaN  left_only  \n",
       "6756           89          NaN         NaN        NaN  left_only  \n",
       "6757           89          NaN         NaN        NaN  left_only  \n",
       "6758           89          NaN         NaN        NaN  left_only  \n",
       "6759           88          NaN         NaN        NaN  left_only  \n",
       "30979       12993          NaN         NaN        NaN  left_only  \n",
       "30980       12983          NaN         NaN        NaN  left_only  \n",
       "30981       13150          NaN         NaN        NaN  left_only  \n",
       "30982       13404          NaN         NaN        NaN  left_only  \n",
       "30983       13345          NaN         NaN        NaN  left_only  \n",
       "30984       13368          NaN         NaN        NaN  left_only  \n",
       "30985       13425          NaN         NaN        NaN  left_only  \n",
       "30986       13636          NaN         NaN        NaN  left_only  \n",
       "30987       13897          NaN         NaN        NaN  left_only  \n",
       "30988       14041          NaN         NaN        NaN  left_only  \n",
       "30989       14130          NaN         NaN        NaN  left_only  \n",
       "30990       14217          NaN         NaN        NaN  left_only  \n",
       "30991       14364          NaN         NaN        NaN  left_only  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for unmatched rows\n",
    "df4[(df4[\"_merge\"] == \"left_only\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Montgomery County, AR', 'Kalawao County, HI',\n",
       "       'Oglala Lakota County, SD'], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4[(df4[\"_merge\"] == \"left_only\")][\"County\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Manual Correction\n",
    "df4.loc[df4[\"County\"] == \"Montgomery County, AR\", \"BUYER_COUNTY\"] = \"MONTGOMERY\"\n",
    "df4.loc[df4[\"County\"] == \"Kalawao County, HI\", \"BUYER_COUNTY\"] = \"KALAWAO\"\n",
    "df4.loc[df4[\"County\"] == \"Oglala Lakota County, SD\", \"BUYER_COUNTY\"] = \"OGLALA LAKOTA\""
   ]
  },
  {
   "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>State</th>\n",
       "      <th>State_Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County_Code</th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "      <th>BUYER_COUNTY</th>\n",
       "      <th>BUYER_STATE</th>\n",
       "      <th>countyfips</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27865</th>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>40</td>\n",
       "      <td>Logan County, OK</td>\n",
       "      <td>40083</td>\n",
       "      <td>2009</td>\n",
       "      <td>41116</td>\n",
       "      <td>LOGAN</td>\n",
       "      <td>OK</td>\n",
       "      <td>40083</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38717</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>54</td>\n",
       "      <td>Hampshire County, WV</td>\n",
       "      <td>54027</td>\n",
       "      <td>2006</td>\n",
       "      <td>23016</td>\n",
       "      <td>HAMPSHIRE</td>\n",
       "      <td>WV</td>\n",
       "      <td>54027</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1637</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Madison County, AR</td>\n",
       "      <td>05087</td>\n",
       "      <td>2015</td>\n",
       "      <td>15719</td>\n",
       "      <td>MADISON</td>\n",
       "      <td>AR</td>\n",
       "      <td>05087</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28355</th>\n",
       "      <td>Oregon</td>\n",
       "      <td>41</td>\n",
       "      <td>Clackamas County, OR</td>\n",
       "      <td>41005</td>\n",
       "      <td>2005</td>\n",
       "      <td>359308</td>\n",
       "      <td>CLACKAMAS</td>\n",
       "      <td>OR</td>\n",
       "      <td>41005</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34988</th>\n",
       "      <td>Texas</td>\n",
       "      <td>48</td>\n",
       "      <td>Robertson County, TX</td>\n",
       "      <td>48395</td>\n",
       "      <td>2008</td>\n",
       "      <td>16535</td>\n",
       "      <td>ROBERTSON</td>\n",
       "      <td>TX</td>\n",
       "      <td>48395</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               State State_Code                County County_Code  Year  \\\n",
       "27865       Oklahoma         40      Logan County, OK       40083  2009   \n",
       "38717  West Virginia         54  Hampshire County, WV       54027  2006   \n",
       "1637        Arkansas         05    Madison County, AR       05087  2015   \n",
       "28355         Oregon         41  Clackamas County, OR       41005  2005   \n",
       "34988          Texas         48  Robertson County, TX       48395  2008   \n",
       "\n",
       "       Population BUYER_COUNTY BUYER_STATE countyfips _merge  \n",
       "27865       41116        LOGAN          OK      40083   both  \n",
       "38717       23016    HAMPSHIRE          WV      54027   both  \n",
       "1637        15719      MADISON          AR      05087   both  \n",
       "28355      359308    CLACKAMAS          OR      41005   both  \n",
       "34988       16535    ROBERTSON          TX      48395   both  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 40495 entries, 0 to 40494\n",
      "Data columns (total 10 columns):\n",
      " #   Column        Non-Null Count  Dtype   \n",
      "---  ------        --------------  -----   \n",
      " 0   State         40495 non-null  object  \n",
      " 1   State_Code    40495 non-null  object  \n",
      " 2   County        40495 non-null  object  \n",
      " 3   County_Code   40495 non-null  object  \n",
      " 4   Year          40495 non-null  int64   \n",
      " 5   Population    40495 non-null  int64   \n",
      " 6   BUYER_COUNTY  40495 non-null  object  \n",
      " 7   BUYER_STATE   40456 non-null  object  \n",
      " 8   countyfips    40456 non-null  object  \n",
      " 9   _merge        40495 non-null  category\n",
      "dtypes: category(1), int64(2), object(7)\n",
      "memory usage: 2.8+ MB\n"
     ]
    }
   ],
   "source": [
    "# Final Verification\n",
    "df4.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>state</th>\n",
       "      <th>abbrev</th>\n",
       "      <th>code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Ark.</td>\n",
       "      <td>AR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Georgia</td>\n",
       "      <td>Ga.</td>\n",
       "      <td>GA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>R.I.</td>\n",
       "      <td>RI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Ohio</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Texas</td>\n",
       "      <td>Tex.</td>\n",
       "      <td>TX</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           state abbrev code\n",
       "3       Arkansas   Ark.   AR\n",
       "10       Georgia    Ga.   GA\n",
       "39  Rhode Island   R.I.   RI\n",
       "35          Ohio   Ohio   OH\n",
       "43         Texas   Tex.   TX"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abbreviations = pd.read_csv(\"../.01_Data/01_Raw/state_abbreviations.csv\")\n",
    "abbreviations.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rename colums to match with the main dataframe\n",
    "abbreviations = abbreviations.rename(\n",
    "    columns={\n",
    "        \"state\": \"State\",\n",
    "        \"code\": \"State_Code\",\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>State</th>\n",
       "      <th>BUYER_COUNTY</th>\n",
       "      <th>County_Code</th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "      <th>State_Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32238</th>\n",
       "      <td>Tennessee</td>\n",
       "      <td>STEWART</td>\n",
       "      <td>47161</td>\n",
       "      <td>2014</td>\n",
       "      <td>13211</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2461</th>\n",
       "      <td>California</td>\n",
       "      <td>RIVERSIDE</td>\n",
       "      <td>06065</td>\n",
       "      <td>2007</td>\n",
       "      <td>2075183</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36672</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>FAUQUIER</td>\n",
       "      <td>51061</td>\n",
       "      <td>2015</td>\n",
       "      <td>68449</td>\n",
       "      <td>VA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>FRANKLIN</td>\n",
       "      <td>05047</td>\n",
       "      <td>2008</td>\n",
       "      <td>18229</td>\n",
       "      <td>AR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2130</th>\n",
       "      <td>California</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>06013</td>\n",
       "      <td>2014</td>\n",
       "      <td>1108665</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            State  BUYER_COUNTY County_Code  Year  Population State_Code\n",
       "32238   Tennessee       STEWART       47161  2014       13211         TN\n",
       "2461   California     RIVERSIDE       06065  2007     2075183         CA\n",
       "36672    Virginia      FAUQUIER       51061  2015       68449         VA\n",
       "1370     Arkansas      FRANKLIN       05047  2008       18229         AR\n",
       "2130   California  CONTRA COSTA       06013  2014     1108665         CA"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select required columns\n",
    "df5 = pd.merge(\n",
    "    df4[[\"State\", \"BUYER_COUNTY\", \"County_Code\", \"Year\", \"Population\"]],\n",
    "    abbreviations[[\"State\", \"State_Code\"]],\n",
    "    how=\"left\",\n",
    "    left_on=\"State\",\n",
    "    right_on=\"State\",\n",
    "    validate=\"m:1\",\n",
    ")\n",
    "df5.sample(5)"
   ]
  },
  {
   "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>State</th>\n",
       "      <th>State_Code</th>\n",
       "      <th>County</th>\n",
       "      <th>County_Code</th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>34793</th>\n",
       "      <td>Texas</td>\n",
       "      <td>TX</td>\n",
       "      <td>PANOLA</td>\n",
       "      <td>48365</td>\n",
       "      <td>2008</td>\n",
       "      <td>23537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37853</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>VA</td>\n",
       "      <td>NORFOLK CITY</td>\n",
       "      <td>51710</td>\n",
       "      <td>2013</td>\n",
       "      <td>245598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2350</th>\n",
       "      <td>California</td>\n",
       "      <td>CA</td>\n",
       "      <td>MERCED</td>\n",
       "      <td>06047</td>\n",
       "      <td>2013</td>\n",
       "      <td>261888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13345</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>KY</td>\n",
       "      <td>LAUREL</td>\n",
       "      <td>21125</td>\n",
       "      <td>2010</td>\n",
       "      <td>58993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28032</th>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>OK</td>\n",
       "      <td>OKLAHOMA</td>\n",
       "      <td>40109</td>\n",
       "      <td>2007</td>\n",
       "      <td>695706</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            State State_Code        County County_Code  Year  Population\n",
       "34793       Texas         TX        PANOLA       48365  2008       23537\n",
       "37853    Virginia         VA  NORFOLK CITY       51710  2013      245598\n",
       "2350   California         CA        MERCED       06047  2013      261888\n",
       "13345    Kentucky         KY        LAUREL       21125  2010       58993\n",
       "28032    Oklahoma         OK      OKLAHOMA       40109  2007      695706"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rename columns\n",
    "df5 = df5.rename(\n",
    "    columns={\n",
    "        \"BUYER_COUNTY\": \"County\",\n",
    "    }\n",
    ")\n",
    "\n",
    "# reorder columns\n",
    "df5 = df5[\n",
    "    [\n",
    "        \"State\",\n",
    "        \"State_Code\",\n",
    "        \"County\",\n",
    "        \"County_Code\",\n",
    "        \"Year\",\n",
    "        \"Population\",\n",
    "    ]\n",
    "]\n",
    "\n",
    "df5.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 40495 entries, 0 to 40494\n",
      "Data columns (total 6 columns):\n",
      " #   Column       Non-Null Count  Dtype \n",
      "---  ------       --------------  ----- \n",
      " 0   State        40495 non-null  object\n",
      " 1   State_Code   40495 non-null  object\n",
      " 2   County       40495 non-null  object\n",
      " 3   County_Code  40495 non-null  object\n",
      " 4   Year         40495 non-null  int64 \n",
      " 5   Population   40495 non-null  int64 \n",
      "dtypes: int64(2), object(4)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df5.info()"
   ]
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
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