{
 "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",
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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>20844</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Montana</td>\n",
       "      <td>30.0</td>\n",
       "      <td>Beaverhead County, MT</td>\n",
       "      <td>30001.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>9166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Hale County, AL</td>\n",
       "      <td>1065.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>16427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14805</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Franklin Parish, LA</td>\n",
       "      <td>22041.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>20441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Maricopa County, AZ</td>\n",
       "      <td>4013.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>4174423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8090</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>17.0</td>\n",
       "      <td>Edgar County, IL</td>\n",
       "      <td>17045.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>18929</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Notes      State  State Code                 County  County Code  \\\n",
       "20844   NaN    Montana        30.0  Beaverhead County, MT      30001.0   \n",
       "419     NaN    Alabama         1.0        Hale County, AL       1065.0   \n",
       "14805   NaN  Louisiana        22.0    Franklin Parish, LA      22041.0   \n",
       "1416    NaN    Arizona         4.0    Maricopa County, AZ       4013.0   \n",
       "8090    NaN   Illinois        17.0       Edgar County, IL      17045.0   \n",
       "\n",
       "       Yearly July 1st Estimates  Yearly July 1st Estimates Code Population  \n",
       "20844                     2008.0                          2008.0       9166  \n",
       "419                       2006.0                          2006.0      16427  \n",
       "14805                     2014.0                          2014.0      20441  \n",
       "1416                      2015.0                          2015.0    4174423  \n",
       "8090                      2007.0                          2007.0      18929  "
      ]
     },
     "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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       "    .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>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",
       "    .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>28339</th>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>40.0</td>\n",
       "      <td>McClain County, OK</td>\n",
       "      <td>40087.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>37981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23032</th>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>33.0</td>\n",
       "      <td>Cheshire County, NH</td>\n",
       "      <td>33005.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>76957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13840</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Letcher County, KY</td>\n",
       "      <td>21133.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>24375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8898</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>17.0</td>\n",
       "      <td>Schuyler County, IL</td>\n",
       "      <td>17169.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>7489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18087</th>\n",
       "      <td>Minnesota</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Stearns County, MN</td>\n",
       "      <td>27145.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>146591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               State  State Code               County  County Code  \\\n",
       "28339       Oklahoma        40.0   McClain County, OK      40087.0   \n",
       "23032  New Hampshire        33.0  Cheshire County, NH      33005.0   \n",
       "13840       Kentucky        21.0   Letcher County, KY      21133.0   \n",
       "8898        Illinois        17.0  Schuyler County, IL      17169.0   \n",
       "18087      Minnesota        27.0   Stearns County, MN      27145.0   \n",
       "\n",
       "       Yearly July 1st Estimates  Yearly July 1st Estimates Code Population  \n",
       "28339                     2015.0                          2015.0      37981  \n",
       "23032                     2012.0                          2012.0      76957  \n",
       "13840                     2011.0                          2011.0      24375  \n",
       "8898                      2009.0                          2009.0       7489  \n",
       "18087                     2007.0                          2007.0     146591  "
      ]
     },
     "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": {
      "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>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>3169</th>\n",
       "      <td>California</td>\n",
       "      <td>06</td>\n",
       "      <td>Trinity County, CA</td>\n",
       "      <td>06105</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>13427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13252</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>21</td>\n",
       "      <td>Carter County, KY</td>\n",
       "      <td>21043</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>27752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39311</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>54</td>\n",
       "      <td>Marion County, WV</td>\n",
       "      <td>54049</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>56815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25647</th>\n",
       "      <td>North Carolina</td>\n",
       "      <td>37</td>\n",
       "      <td>Robeson County, NC</td>\n",
       "      <td>37155</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>134920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16468</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>26</td>\n",
       "      <td>Houghton County, MI</td>\n",
       "      <td>26061</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>36691</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                State State Code               County County Code  \\\n",
       "3169       California         06   Trinity County, CA       06105   \n",
       "13252        Kentucky         21    Carter County, KY       21043   \n",
       "39311   West Virginia         54    Marion County, WV       54049   \n",
       "25647  North Carolina         37   Robeson County, NC       37155   \n",
       "16468        Michigan         26  Houghton County, MI       26061   \n",
       "\n",
       "       Yearly July 1st Estimates  Yearly July 1st Estimates Code  Population  \n",
       "3169                        2013                          2013.0       13427  \n",
       "13252                       2008                          2008.0       27752  \n",
       "39311                       2015                          2015.0       56815  \n",
       "25647                       2014                          2014.0      134920  \n",
       "16468                       2013                          2013.0       36691  "
      ]
     },
     "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>20737</th>\n",
       "      <td>Missouri</td>\n",
       "      <td>29</td>\n",
       "      <td>Vernon County, MO</td>\n",
       "      <td>29217</td>\n",
       "      <td>2005</td>\n",
       "      <td>20722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34648</th>\n",
       "      <td>Texas</td>\n",
       "      <td>48</td>\n",
       "      <td>Knox County, TX</td>\n",
       "      <td>48275</td>\n",
       "      <td>2006</td>\n",
       "      <td>3788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8311</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>17</td>\n",
       "      <td>Jasper County, IL</td>\n",
       "      <td>17079</td>\n",
       "      <td>2007</td>\n",
       "      <td>9776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31809</th>\n",
       "      <td>Tennessee</td>\n",
       "      <td>47</td>\n",
       "      <td>Clay County, TN</td>\n",
       "      <td>47027</td>\n",
       "      <td>2014</td>\n",
       "      <td>7626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14247</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>21</td>\n",
       "      <td>Pike County, KY</td>\n",
       "      <td>21195</td>\n",
       "      <td>2015</td>\n",
       "      <td>61831</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           State State_Code             County County_Code  Year  Population\n",
       "20737   Missouri         29  Vernon County, MO       29217  2005       20722\n",
       "34648      Texas         48    Knox County, TX       48275  2006        3788\n",
       "8311    Illinois         17  Jasper County, IL       17079  2007        9776\n",
       "31809  Tennessee         47    Clay County, TN       47027  2014        7626\n",
       "14247   Kentucky         21    Pike County, KY       21195  2015       61831"
      ]
     },
     "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>237</th>\n",
       "      <td>TUOLUMNE</td>\n",
       "      <td>CA</td>\n",
       "      <td>6109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2652</th>\n",
       "      <td>KIMBLE</td>\n",
       "      <td>TX</td>\n",
       "      <td>48267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053</th>\n",
       "      <td>COLUMBIANA</td>\n",
       "      <td>OH</td>\n",
       "      <td>39029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2963</th>\n",
       "      <td>GRANT</td>\n",
       "      <td>WA</td>\n",
       "      <td>53025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>OGLETHORPE</td>\n",
       "      <td>GA</td>\n",
       "      <td>13221</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     BUYER_COUNTY BUYER_STATE  countyfips\n",
       "237      TUOLUMNE          CA        6109\n",
       "2652       KIMBLE          TX       48267\n",
       "2053   COLUMBIANA          OH       39029\n",
       "2963        GRANT          WA       53025\n",
       "492    OGLETHORPE          GA       13221"
      ]
     },
     "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>33059</th>\n",
       "      <td>Texas</td>\n",
       "      <td>48</td>\n",
       "      <td>Coryell County, TX</td>\n",
       "      <td>48099</td>\n",
       "      <td>2003</td>\n",
       "      <td>71364</td>\n",
       "      <td>CORYELL</td>\n",
       "      <td>TX</td>\n",
       "      <td>48099</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32136</th>\n",
       "      <td>Tennessee</td>\n",
       "      <td>47</td>\n",
       "      <td>Robertson County, TN</td>\n",
       "      <td>47147</td>\n",
       "      <td>2003</td>\n",
       "      <td>57682</td>\n",
       "      <td>ROBERTSON</td>\n",
       "      <td>TN</td>\n",
       "      <td>47147</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24181</th>\n",
       "      <td>New York</td>\n",
       "      <td>36</td>\n",
       "      <td>Yates County, NY</td>\n",
       "      <td>36123</td>\n",
       "      <td>2004</td>\n",
       "      <td>25008</td>\n",
       "      <td>YATES</td>\n",
       "      <td>NY</td>\n",
       "      <td>36123</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25432</th>\n",
       "      <td>North Carolina</td>\n",
       "      <td>37</td>\n",
       "      <td>Wayne County, NC</td>\n",
       "      <td>37191</td>\n",
       "      <td>2007</td>\n",
       "      <td>118942</td>\n",
       "      <td>WAYNE</td>\n",
       "      <td>NC</td>\n",
       "      <td>37191</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1498</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>05</td>\n",
       "      <td>Jackson County, AR</td>\n",
       "      <td>05067</td>\n",
       "      <td>2006</td>\n",
       "      <td>18092</td>\n",
       "      <td>JACKSON</td>\n",
       "      <td>AR</td>\n",
       "      <td>05067</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                State State_Code                County County_Code  Year  \\\n",
       "33059           Texas         48    Coryell County, TX       48099  2003   \n",
       "32136       Tennessee         47  Robertson County, TN       47147  2003   \n",
       "24181        New York         36      Yates County, NY       36123  2004   \n",
       "25432  North Carolina         37      Wayne County, NC       37191  2007   \n",
       "1498         Arkansas         05    Jackson County, AR       05067  2006   \n",
       "\n",
       "       Population BUYER_COUNTY BUYER_STATE countyfips _merge  \n",
       "33059       71364      CORYELL          TX      48099   both  \n",
       "32136       57682    ROBERTSON          TN      47147   both  \n",
       "24181       25008        YATES          NY      36123   both  \n",
       "25432      118942        WAYNE          NC      37191   both  \n",
       "1498        18092      JACKSON          AR      05067   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>16</th>\n",
       "      <td>Kansas</td>\n",
       "      <td>Kans.</td>\n",
       "      <td>KS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Colorado</td>\n",
       "      <td>Colo.</td>\n",
       "      <td>CO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>North Dakota</td>\n",
       "      <td>N.D.</td>\n",
       "      <td>ND</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>14</th>\n",
       "      <td>Indiana</td>\n",
       "      <td>Ind.</td>\n",
       "      <td>IN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           state abbrev code\n",
       "16        Kansas  Kans.   KS\n",
       "5       Colorado  Colo.   CO\n",
       "34  North Dakota   N.D.   ND\n",
       "10       Georgia    Ga.   GA\n",
       "14       Indiana   Ind.   IN"
      ]
     },
     "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>16193</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>LAPEER</td>\n",
       "      <td>26087</td>\n",
       "      <td>2011</td>\n",
       "      <td>88095</td>\n",
       "      <td>MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24405</th>\n",
       "      <td>North Carolina</td>\n",
       "      <td>CASWELL</td>\n",
       "      <td>37033</td>\n",
       "      <td>2007</td>\n",
       "      <td>23914</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17883</th>\n",
       "      <td>Mississippi</td>\n",
       "      <td>ATTALA</td>\n",
       "      <td>28007</td>\n",
       "      <td>2011</td>\n",
       "      <td>19386</td>\n",
       "      <td>MS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30476</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>CLARK</td>\n",
       "      <td>46025</td>\n",
       "      <td>2007</td>\n",
       "      <td>3711</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37845</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>NORFOLK CITY</td>\n",
       "      <td>51710</td>\n",
       "      <td>2005</td>\n",
       "      <td>239650</td>\n",
       "      <td>VA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                State  BUYER_COUNTY County_Code  Year  Population State_Code\n",
       "16193        Michigan        LAPEER       26087  2011       88095         MI\n",
       "24405  North Carolina       CASWELL       37033  2007       23914         NC\n",
       "17883     Mississippi        ATTALA       28007  2011       19386         MS\n",
       "30476    South Dakota         CLARK       46025  2007        3711         SD\n",
       "37845        Virginia  NORFOLK CITY       51710  2005      239650         VA"
      ]
     },
     "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>16301</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>MI</td>\n",
       "      <td>MARQUETTE</td>\n",
       "      <td>26103</td>\n",
       "      <td>2015</td>\n",
       "      <td>67357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31393</th>\n",
       "      <td>Tennessee</td>\n",
       "      <td>TN</td>\n",
       "      <td>COFFEE</td>\n",
       "      <td>47031</td>\n",
       "      <td>2014</td>\n",
       "      <td>53555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21251</th>\n",
       "      <td>Nebraska</td>\n",
       "      <td>NE</td>\n",
       "      <td>BUFFALO</td>\n",
       "      <td>31019</td>\n",
       "      <td>2012</td>\n",
       "      <td>47642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16206</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>MI</td>\n",
       "      <td>LEELANAU</td>\n",
       "      <td>26089</td>\n",
       "      <td>2011</td>\n",
       "      <td>21428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6815</th>\n",
       "      <td>Idaho</td>\n",
       "      <td>ID</td>\n",
       "      <td>BANNOCK</td>\n",
       "      <td>16005</td>\n",
       "      <td>2006</td>\n",
       "      <td>78491</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           State State_Code     County County_Code  Year  Population\n",
       "16301   Michigan         MI  MARQUETTE       26103  2015       67357\n",
       "31393  Tennessee         TN     COFFEE       47031  2014       53555\n",
       "21251   Nebraska         NE    BUFFALO       31019  2012       47642\n",
       "16206   Michigan         MI   LEELANAU       26089  2011       21428\n",
       "6815       Idaho         ID    BANNOCK       16005  2006       78491"
      ]
     },
     "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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