Nashville Housing Cleaning and Correlation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "47db404d",
   "metadata": {},
   "source": [
    "# Nashville Housing Cleaning and Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "75f46a0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "from matplotlib.pyplot import figure\n",
    "\n",
    "%matplotlib inline\n",
    "matplotlib.rcParams['figure.figsize'] = (12,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "29e0754e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\fredd\\OneDrive\\Documents\\Data Analyst\\Portfolio\\Cleaning data python\\Nashville Housing Data for Data Cleaning (updated).csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71eaae33",
   "metadata": {},
   "source": [
    "## Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4d49100f",
   "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>UniqueID</th>\n",
       "      <th>ParcelID</th>\n",
       "      <th>LandUse</th>\n",
       "      <th>PropertyAddress</th>\n",
       "      <th>SaleDate</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>LegalReference</th>\n",
       "      <th>SoldAsVacant</th>\n",
       "      <th>OwnerName</th>\n",
       "      <th>OwnerAddress</th>\n",
       "      <th>Acreage</th>\n",
       "      <th>TaxDistrict</th>\n",
       "      <th>LandValue</th>\n",
       "      <th>BuildingValue</th>\n",
       "      <th>TotalValue</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Bedrooms</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2045</td>\n",
       "      <td>007 00 0 125.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>April 9, 2013</td>\n",
       "      <td>240000</td>\n",
       "      <td>20130412-0036474</td>\n",
       "      <td>No</td>\n",
       "      <td>FRAZIER, CYRENTHA LYNETTE</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.3</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>168200.0</td>\n",
       "      <td>235700.0</td>\n",
       "      <td>1986.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16918</td>\n",
       "      <td>007 00 0 130.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>June 10, 2014</td>\n",
       "      <td>366000</td>\n",
       "      <td>20140619-0053768</td>\n",
       "      <td>No</td>\n",
       "      <td>BONER, CHARLES &amp; LESLIE</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>3.5</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>264100.0</td>\n",
       "      <td>319000.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>54582</td>\n",
       "      <td>007 00 0 138.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1864 FOX CHASE  DR, GOODLETTSVILLE</td>\n",
       "      <td>September 26, 2016</td>\n",
       "      <td>435000</td>\n",
       "      <td>20160927-0101718</td>\n",
       "      <td>No</td>\n",
       "      <td>WILSON, JAMES E. &amp; JOANNE</td>\n",
       "      <td>1864  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.9</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>216200.0</td>\n",
       "      <td>298000.0</td>\n",
       "      <td>1987.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>43070</td>\n",
       "      <td>007 00 0 143.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>January 29, 2016</td>\n",
       "      <td>255000</td>\n",
       "      <td>20160129-0008913</td>\n",
       "      <td>No</td>\n",
       "      <td>BAKER, JAY K. &amp; SUSAN E.</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.6</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>147300.0</td>\n",
       "      <td>197300.0</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22714</td>\n",
       "      <td>007 00 0 149.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>October 10, 2014</td>\n",
       "      <td>278000</td>\n",
       "      <td>20141015-0095255</td>\n",
       "      <td>No</td>\n",
       "      <td>POST, CHRISTOPHER M. &amp; SAMANTHA C.</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>152300.0</td>\n",
       "      <td>202300.0</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>56472</th>\n",
       "      <td>30469</td>\n",
       "      <td>188 10 0A 101.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1435  WINDING CREEK DR, NOLENSVILLE</td>\n",
       "      <td>May 27, 2015</td>\n",
       "      <td>157500</td>\n",
       "      <td>20150608-0053286</td>\n",
       "      <td>No</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56473</th>\n",
       "      <td>27707</td>\n",
       "      <td>188 10 0A 107.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1423  WINDING CREEK DR, NOLENSVILLE</td>\n",
       "      <td>March 2, 2015</td>\n",
       "      <td>145000</td>\n",
       "      <td>20150304-0019013</td>\n",
       "      <td>No</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56474</th>\n",
       "      <td>52709</td>\n",
       "      <td>188 10 0A 118.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1804 GRACE POINT  LN, NOLENSVILLE</td>\n",
       "      <td>August 16, 2016</td>\n",
       "      <td>234611</td>\n",
       "      <td>20160819-0087214</td>\n",
       "      <td>Yes</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56475</th>\n",
       "      <td>54042</td>\n",
       "      <td>188 10 0A 121.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1709 PARK TERRACE  LN, NOLENSVILLE</td>\n",
       "      <td>September 7, 2016</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56476</th>\n",
       "      <td>54043</td>\n",
       "      <td>188 10 0A 122.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1713 PARK TERRACE  LN, NOLENSVILLE</td>\n",
       "      <td>September 7, 2016</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>56477 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       UniqueID           ParcelID                  LandUse  \\\n",
       "0           2045   007 00 0 125.00            SINGLE FAMILY   \n",
       "1          16918   007 00 0 130.00            SINGLE FAMILY   \n",
       "2          54582   007 00 0 138.00            SINGLE FAMILY   \n",
       "3          43070   007 00 0 143.00            SINGLE FAMILY   \n",
       "4          22714   007 00 0 149.00            SINGLE FAMILY   \n",
       "...          ...               ...                      ...   \n",
       "56472      30469  188 10 0A 101.00            SINGLE FAMILY   \n",
       "56473      27707  188 10 0A 107.00            SINGLE FAMILY   \n",
       "56474      52709  188 10 0A 118.00  VACANT RESIDENTIAL LAND   \n",
       "56475      54042  188 10 0A 121.00  VACANT RESIDENTIAL LAND   \n",
       "56476      54043  188 10 0A 122.00  VACANT RESIDENTIAL LAND   \n",
       "\n",
       "                           PropertyAddress            SaleDate SalePrice  \\\n",
       "0       1808  FOX CHASE DR, GOODLETTSVILLE       April 9, 2013    240000   \n",
       "1       1832  FOX CHASE DR, GOODLETTSVILLE       June 10, 2014    366000   \n",
       "2       1864 FOX CHASE  DR, GOODLETTSVILLE  September 26, 2016    435000   \n",
       "3       1853  FOX CHASE DR, GOODLETTSVILLE    January 29, 2016    255000   \n",
       "4       1829  FOX CHASE DR, GOODLETTSVILLE    October 10, 2014    278000   \n",
       "...                                    ...                 ...       ...   \n",
       "56472  1435  WINDING CREEK DR, NOLENSVILLE        May 27, 2015    157500   \n",
       "56473  1423  WINDING CREEK DR, NOLENSVILLE       March 2, 2015    145000   \n",
       "56474    1804 GRACE POINT  LN, NOLENSVILLE     August 16, 2016    234611   \n",
       "56475   1709 PARK TERRACE  LN, NOLENSVILLE   September 7, 2016     93844   \n",
       "56476   1713 PARK TERRACE  LN, NOLENSVILLE   September 7, 2016     93844   \n",
       "\n",
       "         LegalReference SoldAsVacant                           OwnerName  \\\n",
       "0      20130412-0036474           No           FRAZIER, CYRENTHA LYNETTE   \n",
       "1      20140619-0053768           No             BONER, CHARLES & LESLIE   \n",
       "2      20160927-0101718           No           WILSON, JAMES E. & JOANNE   \n",
       "3      20160129-0008913           No            BAKER, JAY K. & SUSAN E.   \n",
       "4      20141015-0095255           No  POST, CHRISTOPHER M. & SAMANTHA C.   \n",
       "...                 ...          ...                                 ...   \n",
       "56472  20150608-0053286           No                                 NaN   \n",
       "56473  20150304-0019013           No                                 NaN   \n",
       "56474  20160819-0087214          Yes                                 NaN   \n",
       "56475  20160919-0098411          Yes                                 NaN   \n",
       "56476  20160919-0098411          Yes                                 NaN   \n",
       "\n",
       "                                 OwnerAddress  Acreage  \\\n",
       "0      1808  FOX CHASE DR, GOODLETTSVILLE, TN      2.3   \n",
       "1      1832  FOX CHASE DR, GOODLETTSVILLE, TN      3.5   \n",
       "2      1864  FOX CHASE DR, GOODLETTSVILLE, TN      2.9   \n",
       "3      1853  FOX CHASE DR, GOODLETTSVILLE, TN      2.6   \n",
       "4      1829  FOX CHASE DR, GOODLETTSVILLE, TN      2.0   \n",
       "...                                       ...      ...   \n",
       "56472                                     NaN      NaN   \n",
       "56473                                     NaN      NaN   \n",
       "56474                                     NaN      NaN   \n",
       "56475                                     NaN      NaN   \n",
       "56476                                     NaN      NaN   \n",
       "\n",
       "                     TaxDistrict  LandValue  BuildingValue  TotalValue  \\\n",
       "0      GENERAL SERVICES DISTRICT    50000.0       168200.0    235700.0   \n",
       "1      GENERAL SERVICES DISTRICT    50000.0       264100.0    319000.0   \n",
       "2      GENERAL SERVICES DISTRICT    50000.0       216200.0    298000.0   \n",
       "3      GENERAL SERVICES DISTRICT    50000.0       147300.0    197300.0   \n",
       "4      GENERAL SERVICES DISTRICT    50000.0       152300.0    202300.0   \n",
       "...                          ...        ...            ...         ...   \n",
       "56472                        NaN        NaN            NaN         NaN   \n",
       "56473                        NaN        NaN            NaN         NaN   \n",
       "56474                        NaN        NaN            NaN         NaN   \n",
       "56475                        NaN        NaN            NaN         NaN   \n",
       "56476                        NaN        NaN            NaN         NaN   \n",
       "\n",
       "       YearBuilt  Bedrooms  FullBath  HalfBath  \n",
       "0         1986.0       3.0       3.0       0.0  \n",
       "1         1998.0       3.0       3.0       2.0  \n",
       "2         1987.0       4.0       3.0       0.0  \n",
       "3         1985.0       3.0       3.0       0.0  \n",
       "4         1984.0       4.0       3.0       0.0  \n",
       "...          ...       ...       ...       ...  \n",
       "56472        NaN       NaN       NaN       NaN  \n",
       "56473        NaN       NaN       NaN       NaN  \n",
       "56474        NaN       NaN       NaN       NaN  \n",
       "56475        NaN       NaN       NaN       NaN  \n",
       "56476        NaN       NaN       NaN       NaN  \n",
       "\n",
       "[56477 rows x 19 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df #Check dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "520c884f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 56477 entries, 0 to 56476\n",
      "Data columns (total 19 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   UniqueID         56477 non-null  int64  \n",
      " 1   ParcelID         56477 non-null  object \n",
      " 2   LandUse          56477 non-null  object \n",
      " 3   PropertyAddress  56448 non-null  object \n",
      " 4   SaleDate         56477 non-null  object \n",
      " 5   SalePrice        56477 non-null  object \n",
      " 6   LegalReference   56477 non-null  object \n",
      " 7   SoldAsVacant     56477 non-null  object \n",
      " 8   OwnerName        25261 non-null  object \n",
      " 9   OwnerAddress     26015 non-null  object \n",
      " 10  Acreage          26015 non-null  float64\n",
      " 11  TaxDistrict      26015 non-null  object \n",
      " 12  LandValue        26015 non-null  float64\n",
      " 13  BuildingValue    26015 non-null  float64\n",
      " 14  TotalValue       26015 non-null  float64\n",
      " 15  YearBuilt        24163 non-null  float64\n",
      " 16  Bedrooms         24157 non-null  float64\n",
      " 17  FullBath         24275 non-null  float64\n",
      " 18  HalfBath         24144 non-null  float64\n",
      "dtypes: float64(8), int64(1), object(10)\n",
      "memory usage: 8.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "626d7a90",
   "metadata": {},
   "source": [
    "Change YearBuilt to a string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "532711c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"YearBuilt\"] = df[\"YearBuilt\"].astype(str).apply(lambda x: x.replace('.0',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dbc7ef73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['UniqueID ', 'ParcelID', 'LandUse', 'PropertyAddress', 'SaleDate',\n",
       "       'SalePrice', 'LegalReference', 'SoldAsVacant', 'OwnerName',\n",
       "       'OwnerAddress', 'Acreage', 'TaxDistrict', 'LandValue', 'BuildingValue',\n",
       "       'TotalValue', 'YearBuilt', 'Bedrooms', 'FullBath', 'HalfBath'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns #Column names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5032de92",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"UniqueID \"] = df[\"UniqueID \"].astype(str) # Converting UniqueID to string type"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e027c8a",
   "metadata": {},
   "source": [
    "Rename Unique ID column to remove the unwanted space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c31d3509",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns={'UniqueID ': 'UniqueID'})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e29ca97c",
   "metadata": {},
   "source": [
    "Make UniqueID the index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fa2ed129",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_index(\"UniqueID\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b1782a5",
   "metadata": {},
   "source": [
    "Dropping Duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "77cd9373",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ParcelID</th>\n",
       "      <th>LandUse</th>\n",
       "      <th>PropertyAddress</th>\n",
       "      <th>SaleDate</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>LegalReference</th>\n",
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       "      <th>OwnerName</th>\n",
       "      <th>OwnerAddress</th>\n",
       "      <th>Acreage</th>\n",
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       "      <th>LandValue</th>\n",
       "      <th>BuildingValue</th>\n",
       "      <th>TotalValue</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Bedrooms</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UniqueID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2045</th>\n",
       "      <td>007 00 0 125.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>April 9, 2013</td>\n",
       "      <td>240000</td>\n",
       "      <td>20130412-0036474</td>\n",
       "      <td>No</td>\n",
       "      <td>FRAZIER, CYRENTHA LYNETTE</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.3</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>168200.0</td>\n",
       "      <td>235700.0</td>\n",
       "      <td>1986</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16918</th>\n",
       "      <td>007 00 0 130.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>June 10, 2014</td>\n",
       "      <td>366000</td>\n",
       "      <td>20140619-0053768</td>\n",
       "      <td>No</td>\n",
       "      <td>BONER, CHARLES &amp; LESLIE</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>3.5</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>264100.0</td>\n",
       "      <td>319000.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54582</th>\n",
       "      <td>007 00 0 138.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1864 FOX CHASE  DR, GOODLETTSVILLE</td>\n",
       "      <td>September 26, 2016</td>\n",
       "      <td>435000</td>\n",
       "      <td>20160927-0101718</td>\n",
       "      <td>No</td>\n",
       "      <td>WILSON, JAMES E. &amp; JOANNE</td>\n",
       "      <td>1864  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.9</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>216200.0</td>\n",
       "      <td>298000.0</td>\n",
       "      <td>1987</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43070</th>\n",
       "      <td>007 00 0 143.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>January 29, 2016</td>\n",
       "      <td>255000</td>\n",
       "      <td>20160129-0008913</td>\n",
       "      <td>No</td>\n",
       "      <td>BAKER, JAY K. &amp; SUSAN E.</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.6</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>147300.0</td>\n",
       "      <td>197300.0</td>\n",
       "      <td>1985</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22714</th>\n",
       "      <td>007 00 0 149.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>October 10, 2014</td>\n",
       "      <td>278000</td>\n",
       "      <td>20141015-0095255</td>\n",
       "      <td>No</td>\n",
       "      <td>POST, CHRISTOPHER M. &amp; SAMANTHA C.</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>152300.0</td>\n",
       "      <td>202300.0</td>\n",
       "      <td>1984</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>30469</th>\n",
       "      <td>188 10 0A 101.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1435  WINDING CREEK DR, NOLENSVILLE</td>\n",
       "      <td>May 27, 2015</td>\n",
       "      <td>157500</td>\n",
       "      <td>20150608-0053286</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
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       "      <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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27707</th>\n",
       "      <td>188 10 0A 107.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1423  WINDING CREEK DR, NOLENSVILLE</td>\n",
       "      <td>March 2, 2015</td>\n",
       "      <td>145000</td>\n",
       "      <td>20150304-0019013</td>\n",
       "      <td>No</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52709</th>\n",
       "      <td>188 10 0A 118.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1804 GRACE POINT  LN, NOLENSVILLE</td>\n",
       "      <td>August 16, 2016</td>\n",
       "      <td>234611</td>\n",
       "      <td>20160819-0087214</td>\n",
       "      <td>Yes</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54042</th>\n",
       "      <td>188 10 0A 121.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1709 PARK TERRACE  LN, NOLENSVILLE</td>\n",
       "      <td>September 7, 2016</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54043</th>\n",
       "      <td>188 10 0A 122.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1713 PARK TERRACE  LN, NOLENSVILLE</td>\n",
       "      <td>September 7, 2016</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>56375 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ParcelID                  LandUse  \\\n",
       "UniqueID                                              \n",
       "2045       007 00 0 125.00            SINGLE FAMILY   \n",
       "16918      007 00 0 130.00            SINGLE FAMILY   \n",
       "54582      007 00 0 138.00            SINGLE FAMILY   \n",
       "43070      007 00 0 143.00            SINGLE FAMILY   \n",
       "22714      007 00 0 149.00            SINGLE FAMILY   \n",
       "...                    ...                      ...   \n",
       "30469     188 10 0A 101.00            SINGLE FAMILY   \n",
       "27707     188 10 0A 107.00            SINGLE FAMILY   \n",
       "52709     188 10 0A 118.00  VACANT RESIDENTIAL LAND   \n",
       "54042     188 10 0A 121.00  VACANT RESIDENTIAL LAND   \n",
       "54043     188 10 0A 122.00  VACANT RESIDENTIAL LAND   \n",
       "\n",
       "                              PropertyAddress            SaleDate SalePrice  \\\n",
       "UniqueID                                                                      \n",
       "2045       1808  FOX CHASE DR, GOODLETTSVILLE       April 9, 2013    240000   \n",
       "16918      1832  FOX CHASE DR, GOODLETTSVILLE       June 10, 2014    366000   \n",
       "54582      1864 FOX CHASE  DR, GOODLETTSVILLE  September 26, 2016    435000   \n",
       "43070      1853  FOX CHASE DR, GOODLETTSVILLE    January 29, 2016    255000   \n",
       "22714      1829  FOX CHASE DR, GOODLETTSVILLE    October 10, 2014    278000   \n",
       "...                                       ...                 ...       ...   \n",
       "30469     1435  WINDING CREEK DR, NOLENSVILLE        May 27, 2015    157500   \n",
       "27707     1423  WINDING CREEK DR, NOLENSVILLE       March 2, 2015    145000   \n",
       "52709       1804 GRACE POINT  LN, NOLENSVILLE     August 16, 2016    234611   \n",
       "54042      1709 PARK TERRACE  LN, NOLENSVILLE   September 7, 2016     93844   \n",
       "54043      1713 PARK TERRACE  LN, NOLENSVILLE   September 7, 2016     93844   \n",
       "\n",
       "            LegalReference SoldAsVacant                           OwnerName  \\\n",
       "UniqueID                                                                      \n",
       "2045      20130412-0036474           No           FRAZIER, CYRENTHA LYNETTE   \n",
       "16918     20140619-0053768           No             BONER, CHARLES & LESLIE   \n",
       "54582     20160927-0101718           No           WILSON, JAMES E. & JOANNE   \n",
       "43070     20160129-0008913           No            BAKER, JAY K. & SUSAN E.   \n",
       "22714     20141015-0095255           No  POST, CHRISTOPHER M. & SAMANTHA C.   \n",
       "...                    ...          ...                                 ...   \n",
       "30469     20150608-0053286           No                                 NaN   \n",
       "27707     20150304-0019013           No                                 NaN   \n",
       "52709     20160819-0087214          Yes                                 NaN   \n",
       "54042     20160919-0098411          Yes                                 NaN   \n",
       "54043     20160919-0098411          Yes                                 NaN   \n",
       "\n",
       "                                    OwnerAddress  Acreage  \\\n",
       "UniqueID                                                    \n",
       "2045      1808  FOX CHASE DR, GOODLETTSVILLE, TN      2.3   \n",
       "16918     1832  FOX CHASE DR, GOODLETTSVILLE, TN      3.5   \n",
       "54582     1864  FOX CHASE DR, GOODLETTSVILLE, TN      2.9   \n",
       "43070     1853  FOX CHASE DR, GOODLETTSVILLE, TN      2.6   \n",
       "22714     1829  FOX CHASE DR, GOODLETTSVILLE, TN      2.0   \n",
       "...                                          ...      ...   \n",
       "30469                                        NaN      NaN   \n",
       "27707                                        NaN      NaN   \n",
       "52709                                        NaN      NaN   \n",
       "54042                                        NaN      NaN   \n",
       "54043                                        NaN      NaN   \n",
       "\n",
       "                        TaxDistrict  LandValue  BuildingValue  TotalValue  \\\n",
       "UniqueID                                                                    \n",
       "2045      GENERAL SERVICES DISTRICT    50000.0       168200.0    235700.0   \n",
       "16918     GENERAL SERVICES DISTRICT    50000.0       264100.0    319000.0   \n",
       "54582     GENERAL SERVICES DISTRICT    50000.0       216200.0    298000.0   \n",
       "43070     GENERAL SERVICES DISTRICT    50000.0       147300.0    197300.0   \n",
       "22714     GENERAL SERVICES DISTRICT    50000.0       152300.0    202300.0   \n",
       "...                             ...        ...            ...         ...   \n",
       "30469                           NaN        NaN            NaN         NaN   \n",
       "27707                           NaN        NaN            NaN         NaN   \n",
       "52709                           NaN        NaN            NaN         NaN   \n",
       "54042                           NaN        NaN            NaN         NaN   \n",
       "54043                           NaN        NaN            NaN         NaN   \n",
       "\n",
       "         YearBuilt  Bedrooms  FullBath  HalfBath  \n",
       "UniqueID                                          \n",
       "2045          1986       3.0       3.0       0.0  \n",
       "16918         1998       3.0       3.0       2.0  \n",
       "54582         1987       4.0       3.0       0.0  \n",
       "43070         1985       3.0       3.0       0.0  \n",
       "22714         1984       4.0       3.0       0.0  \n",
       "...            ...       ...       ...       ...  \n",
       "30469          nan       NaN       NaN       NaN  \n",
       "27707          nan       NaN       NaN       NaN  \n",
       "52709          nan       NaN       NaN       NaN  \n",
       "54042          nan       NaN       NaN       NaN  \n",
       "54043          nan       NaN       NaN       NaN  \n",
       "\n",
       "[56375 rows x 18 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f0da07e",
   "metadata": {},
   "source": [
    "102 rows were removed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec4a4f75",
   "metadata": {},
   "source": [
    "Change SaleDate column to date type and split it into different columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfa1d516",
   "metadata": {},
   "source": [
    "Change to Datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f87a1e0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"SaleDate\"] = pd.to_datetime(df[\"SaleDate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1c81e04d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 56477 entries, 2045 to 54043\n",
      "Data columns (total 18 columns):\n",
      " #   Column           Non-Null Count  Dtype         \n",
      "---  ------           --------------  -----         \n",
      " 0   ParcelID         56477 non-null  object        \n",
      " 1   LandUse          56477 non-null  object        \n",
      " 2   PropertyAddress  56448 non-null  object        \n",
      " 3   SaleDate         56477 non-null  datetime64[ns]\n",
      " 4   SalePrice        56477 non-null  object        \n",
      " 5   LegalReference   56477 non-null  object        \n",
      " 6   SoldAsVacant     56477 non-null  object        \n",
      " 7   OwnerName        25261 non-null  object        \n",
      " 8   OwnerAddress     26015 non-null  object        \n",
      " 9   Acreage          26015 non-null  float64       \n",
      " 10  TaxDistrict      26015 non-null  object        \n",
      " 11  LandValue        26015 non-null  float64       \n",
      " 12  BuildingValue    26015 non-null  float64       \n",
      " 13  TotalValue       26015 non-null  float64       \n",
      " 14  YearBuilt        56477 non-null  object        \n",
      " 15  Bedrooms         24157 non-null  float64       \n",
      " 16  FullBath         24275 non-null  float64       \n",
      " 17  HalfBath         24144 non-null  float64       \n",
      "dtypes: datetime64[ns](1), float64(7), object(10)\n",
      "memory usage: 8.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "07e46a95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ParcelID</th>\n",
       "      <th>LandUse</th>\n",
       "      <th>PropertyAddress</th>\n",
       "      <th>SaleDate</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>LegalReference</th>\n",
       "      <th>SoldAsVacant</th>\n",
       "      <th>OwnerName</th>\n",
       "      <th>OwnerAddress</th>\n",
       "      <th>Acreage</th>\n",
       "      <th>TaxDistrict</th>\n",
       "      <th>LandValue</th>\n",
       "      <th>BuildingValue</th>\n",
       "      <th>TotalValue</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Bedrooms</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UniqueID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2045</th>\n",
       "      <td>007 00 0 125.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>2013-04-09</td>\n",
       "      <td>240000</td>\n",
       "      <td>20130412-0036474</td>\n",
       "      <td>No</td>\n",
       "      <td>FRAZIER, CYRENTHA LYNETTE</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.3</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>168200.0</td>\n",
       "      <td>235700.0</td>\n",
       "      <td>1986</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16918</th>\n",
       "      <td>007 00 0 130.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>2014-06-10</td>\n",
       "      <td>366000</td>\n",
       "      <td>20140619-0053768</td>\n",
       "      <td>No</td>\n",
       "      <td>BONER, CHARLES &amp; LESLIE</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>3.5</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>264100.0</td>\n",
       "      <td>319000.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54582</th>\n",
       "      <td>007 00 0 138.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1864 FOX CHASE  DR, GOODLETTSVILLE</td>\n",
       "      <td>2016-09-26</td>\n",
       "      <td>435000</td>\n",
       "      <td>20160927-0101718</td>\n",
       "      <td>No</td>\n",
       "      <td>WILSON, JAMES E. &amp; JOANNE</td>\n",
       "      <td>1864  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.9</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>216200.0</td>\n",
       "      <td>298000.0</td>\n",
       "      <td>1987</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43070</th>\n",
       "      <td>007 00 0 143.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>2016-01-29</td>\n",
       "      <td>255000</td>\n",
       "      <td>20160129-0008913</td>\n",
       "      <td>No</td>\n",
       "      <td>BAKER, JAY K. &amp; SUSAN E.</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.6</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>147300.0</td>\n",
       "      <td>197300.0</td>\n",
       "      <td>1985</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22714</th>\n",
       "      <td>007 00 0 149.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE</td>\n",
       "      <td>2014-10-10</td>\n",
       "      <td>278000</td>\n",
       "      <td>20141015-0095255</td>\n",
       "      <td>No</td>\n",
       "      <td>POST, CHRISTOPHER M. &amp; SAMANTHA C.</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>GENERAL SERVICES DISTRICT</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>152300.0</td>\n",
       "      <td>202300.0</td>\n",
       "      <td>1984</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30469</th>\n",
       "      <td>188 10 0A 101.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1435  WINDING CREEK DR, NOLENSVILLE</td>\n",
       "      <td>2015-05-27</td>\n",
       "      <td>157500</td>\n",
       "      <td>20150608-0053286</td>\n",
       "      <td>No</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27707</th>\n",
       "      <td>188 10 0A 107.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1423  WINDING CREEK DR, NOLENSVILLE</td>\n",
       "      <td>2015-03-02</td>\n",
       "      <td>145000</td>\n",
       "      <td>20150304-0019013</td>\n",
       "      <td>No</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52709</th>\n",
       "      <td>188 10 0A 118.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1804 GRACE POINT  LN, NOLENSVILLE</td>\n",
       "      <td>2016-08-16</td>\n",
       "      <td>234611</td>\n",
       "      <td>20160819-0087214</td>\n",
       "      <td>Yes</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54042</th>\n",
       "      <td>188 10 0A 121.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1709 PARK TERRACE  LN, NOLENSVILLE</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54043</th>\n",
       "      <td>188 10 0A 122.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>1713 PARK TERRACE  LN, NOLENSVILLE</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</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",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>56477 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ParcelID                  LandUse  \\\n",
       "UniqueID                                              \n",
       "2045       007 00 0 125.00            SINGLE FAMILY   \n",
       "16918      007 00 0 130.00            SINGLE FAMILY   \n",
       "54582      007 00 0 138.00            SINGLE FAMILY   \n",
       "43070      007 00 0 143.00            SINGLE FAMILY   \n",
       "22714      007 00 0 149.00            SINGLE FAMILY   \n",
       "...                    ...                      ...   \n",
       "30469     188 10 0A 101.00            SINGLE FAMILY   \n",
       "27707     188 10 0A 107.00            SINGLE FAMILY   \n",
       "52709     188 10 0A 118.00  VACANT RESIDENTIAL LAND   \n",
       "54042     188 10 0A 121.00  VACANT RESIDENTIAL LAND   \n",
       "54043     188 10 0A 122.00  VACANT RESIDENTIAL LAND   \n",
       "\n",
       "                              PropertyAddress   SaleDate SalePrice  \\\n",
       "UniqueID                                                             \n",
       "2045       1808  FOX CHASE DR, GOODLETTSVILLE 2013-04-09    240000   \n",
       "16918      1832  FOX CHASE DR, GOODLETTSVILLE 2014-06-10    366000   \n",
       "54582      1864 FOX CHASE  DR, GOODLETTSVILLE 2016-09-26    435000   \n",
       "43070      1853  FOX CHASE DR, GOODLETTSVILLE 2016-01-29    255000   \n",
       "22714      1829  FOX CHASE DR, GOODLETTSVILLE 2014-10-10    278000   \n",
       "...                                       ...        ...       ...   \n",
       "30469     1435  WINDING CREEK DR, NOLENSVILLE 2015-05-27    157500   \n",
       "27707     1423  WINDING CREEK DR, NOLENSVILLE 2015-03-02    145000   \n",
       "52709       1804 GRACE POINT  LN, NOLENSVILLE 2016-08-16    234611   \n",
       "54042      1709 PARK TERRACE  LN, NOLENSVILLE 2016-09-07     93844   \n",
       "54043      1713 PARK TERRACE  LN, NOLENSVILLE 2016-09-07     93844   \n",
       "\n",
       "            LegalReference SoldAsVacant                           OwnerName  \\\n",
       "UniqueID                                                                      \n",
       "2045      20130412-0036474           No           FRAZIER, CYRENTHA LYNETTE   \n",
       "16918     20140619-0053768           No             BONER, CHARLES & LESLIE   \n",
       "54582     20160927-0101718           No           WILSON, JAMES E. & JOANNE   \n",
       "43070     20160129-0008913           No            BAKER, JAY K. & SUSAN E.   \n",
       "22714     20141015-0095255           No  POST, CHRISTOPHER M. & SAMANTHA C.   \n",
       "...                    ...          ...                                 ...   \n",
       "30469     20150608-0053286           No                                 NaN   \n",
       "27707     20150304-0019013           No                                 NaN   \n",
       "52709     20160819-0087214          Yes                                 NaN   \n",
       "54042     20160919-0098411          Yes                                 NaN   \n",
       "54043     20160919-0098411          Yes                                 NaN   \n",
       "\n",
       "                                    OwnerAddress  Acreage  \\\n",
       "UniqueID                                                    \n",
       "2045      1808  FOX CHASE DR, GOODLETTSVILLE, TN      2.3   \n",
       "16918     1832  FOX CHASE DR, GOODLETTSVILLE, TN      3.5   \n",
       "54582     1864  FOX CHASE DR, GOODLETTSVILLE, TN      2.9   \n",
       "43070     1853  FOX CHASE DR, GOODLETTSVILLE, TN      2.6   \n",
       "22714     1829  FOX CHASE DR, GOODLETTSVILLE, TN      2.0   \n",
       "...                                          ...      ...   \n",
       "30469                                        NaN      NaN   \n",
       "27707                                        NaN      NaN   \n",
       "52709                                        NaN      NaN   \n",
       "54042                                        NaN      NaN   \n",
       "54043                                        NaN      NaN   \n",
       "\n",
       "                        TaxDistrict  LandValue  BuildingValue  TotalValue  \\\n",
       "UniqueID                                                                    \n",
       "2045      GENERAL SERVICES DISTRICT    50000.0       168200.0    235700.0   \n",
       "16918     GENERAL SERVICES DISTRICT    50000.0       264100.0    319000.0   \n",
       "54582     GENERAL SERVICES DISTRICT    50000.0       216200.0    298000.0   \n",
       "43070     GENERAL SERVICES DISTRICT    50000.0       147300.0    197300.0   \n",
       "22714     GENERAL SERVICES DISTRICT    50000.0       152300.0    202300.0   \n",
       "...                             ...        ...            ...         ...   \n",
       "30469                           NaN        NaN            NaN         NaN   \n",
       "27707                           NaN        NaN            NaN         NaN   \n",
       "52709                           NaN        NaN            NaN         NaN   \n",
       "54042                           NaN        NaN            NaN         NaN   \n",
       "54043                           NaN        NaN            NaN         NaN   \n",
       "\n",
       "         YearBuilt  Bedrooms  FullBath  HalfBath  \n",
       "UniqueID                                          \n",
       "2045          1986       3.0       3.0       0.0  \n",
       "16918         1998       3.0       3.0       2.0  \n",
       "54582         1987       4.0       3.0       0.0  \n",
       "43070         1985       3.0       3.0       0.0  \n",
       "22714         1984       4.0       3.0       0.0  \n",
       "...            ...       ...       ...       ...  \n",
       "30469          nan       NaN       NaN       NaN  \n",
       "27707          nan       NaN       NaN       NaN  \n",
       "52709          nan       NaN       NaN       NaN  \n",
       "54042          nan       NaN       NaN       NaN  \n",
       "54043          nan       NaN       NaN       NaN  \n",
       "\n",
       "[56477 rows x 18 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1ca7b0c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['SaleDate'] = df['SaleDate'].astype(str) #Change 'SaleDate' to string type"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cac405bf",
   "metadata": {},
   "source": [
    "Split SaleDate column into day, month and year columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5645e4e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['SaleYear', 'SaleMonth', 'SaleDay']] = df['SaleDate'].str.split('-', expand=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "32d01ea1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"SaleDate\"] = pd.to_datetime(df[\"SaleDate\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7df9a14b",
   "metadata": {},
   "source": [
    "Split \"Owner Address\" and \"Property Address\" into different columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8ed26998",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[[\"OwnerStreet\", \"OwnerCity\", \"OwnerState\"]] = df[\"OwnerAddress\"].str.split(',', 2, expand=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9eda4cd7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ParcelID</th>\n",
       "      <th>LandUse</th>\n",
       "      <th>PropertyAddress</th>\n",
       "      <th>SaleDate</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>LegalReference</th>\n",
       "      <th>SoldAsVacant</th>\n",
       "      <th>OwnerName</th>\n",
       "      <th>OwnerAddress</th>\n",
       "      <th>Acreage</th>\n",
       "      <th>...</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Bedrooms</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>SaleYear</th>\n",
       "      <th>SaleMonth</th>\n",
       "      <th>SaleDay</th>\n",
       "      <th>OwnerStreet</th>\n",
       "      <th>OwnerCity</th>\n",
       "      <th>OwnerState</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UniqueID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43076</th>\n",
       "      <td>025 07 0 031.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>179900</td>\n",
       "      <td>20160120-0005776</td>\n",
       "      <td>No</td>\n",
       "      <td>COSTNER, FRED &amp; CAROLYN</td>\n",
       "      <td>410  ROSEHILL CT, GOODLETTSVILLE, TN</td>\n",
       "      <td>0.96</td>\n",
       "      <td>...</td>\n",
       "      <td>1964</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>01</td>\n",
       "      <td>15</td>\n",
       "      <td>410  ROSEHILL CT</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39432</th>\n",
       "      <td>026 01 0 069.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-10-23</td>\n",
       "      <td>153000</td>\n",
       "      <td>20151028-0109602</td>\n",
       "      <td>No</td>\n",
       "      <td>SHACKLEFORD, MICHAEL C., JR.</td>\n",
       "      <td>141  TWO MILE PIKE, GOODLETTSVILLE, TN</td>\n",
       "      <td>0.17</td>\n",
       "      <td>...</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>141  TWO MILE PIKE</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45290</th>\n",
       "      <td>026 05 0 017.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-29</td>\n",
       "      <td>155000</td>\n",
       "      <td>20160330-0029941</td>\n",
       "      <td>No</td>\n",
       "      <td>TRIPP, MARVIN S. &amp; DEBORAH YOUNG</td>\n",
       "      <td>208  EAST AVE, GOODLETTSVILLE, TN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>...</td>\n",
       "      <td>2008</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>03</td>\n",
       "      <td>29</td>\n",
       "      <td>208  EAST AVE</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53147</th>\n",
       "      <td>026 06 0A 038.00</td>\n",
       "      <td>RESIDENTIAL CONDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-25</td>\n",
       "      <td>144900</td>\n",
       "      <td>20160831-0091567</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>08</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43080</th>\n",
       "      <td>033 06 0 041.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>170000</td>\n",
       "      <td>20160107-0001526</td>\n",
       "      <td>No</td>\n",
       "      <td>FRANK, ZACHARY &amp; NIKI</td>\n",
       "      <td>1129  CAMPBELL RD, GOODLETTSVILLE, TN</td>\n",
       "      <td>0.24</td>\n",
       "      <td>...</td>\n",
       "      <td>2000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>01</td>\n",
       "      <td>04</td>\n",
       "      <td>1129  CAMPBELL RD</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45295</th>\n",
       "      <td>033 06 0A 002.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-29</td>\n",
       "      <td>210000</td>\n",
       "      <td>20160331-0030709</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>03</td>\n",
       "      <td>29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48731</th>\n",
       "      <td>033 15 0 123.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-05</td>\n",
       "      <td>199900</td>\n",
       "      <td>20160506-0045368</td>\n",
       "      <td>No</td>\n",
       "      <td>COLEMAN, AARON A. &amp; CECIL, CORRIE J.</td>\n",
       "      <td>438  W CAMPBELL RD, GOODLETTSVILLE, TN</td>\n",
       "      <td>1.39</td>\n",
       "      <td>...</td>\n",
       "      <td>1954</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>05</td>\n",
       "      <td>05</td>\n",
       "      <td>438  W CAMPBELL RD</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36531</th>\n",
       "      <td>034 03 0 059.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-08-13</td>\n",
       "      <td>245000</td>\n",
       "      <td>20150819-0083759</td>\n",
       "      <td>No</td>\n",
       "      <td>DILICK, JOHN MARK &amp; ANNETTE A.</td>\n",
       "      <td>2117  PAULA DR, MADISON, TN</td>\n",
       "      <td>1.01</td>\n",
       "      <td>...</td>\n",
       "      <td>1964</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>08</td>\n",
       "      <td>13</td>\n",
       "      <td>2117  PAULA DR</td>\n",
       "      <td>MADISON</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46919</th>\n",
       "      <td>034 07 0B 015.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-27</td>\n",
       "      <td>40000</td>\n",
       "      <td>20160304-0020905</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>04</td>\n",
       "      <td>27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44264</th>\n",
       "      <td>034 16 0A 004.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-02-04</td>\n",
       "      <td>130000</td>\n",
       "      <td>20160205-0011327</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>02</td>\n",
       "      <td>04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45298</th>\n",
       "      <td>041 03 0A 100.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>170000</td>\n",
       "      <td>20160322-0027048</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>03</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40678</th>\n",
       "      <td>042 13 0 075.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-11-30</td>\n",
       "      <td>208000</td>\n",
       "      <td>20151209-0123831</td>\n",
       "      <td>No</td>\n",
       "      <td>SADOWSKY, ERIC C. &amp; LISA D.</td>\n",
       "      <td>222  FOXBORO DR, MADISON, TN</td>\n",
       "      <td>1.01</td>\n",
       "      <td>...</td>\n",
       "      <td>1967</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>30</td>\n",
       "      <td>222  FOXBORO DR</td>\n",
       "      <td>MADISON</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47293</th>\n",
       "      <td>043 04 0 014.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-29</td>\n",
       "      <td>190000</td>\n",
       "      <td>20160503-0043576</td>\n",
       "      <td>No</td>\n",
       "      <td>CRIPPS, WILLIE S. JR. &amp; GINEA M.</td>\n",
       "      <td>112  HILLER DR, OLD HICKORY, TN</td>\n",
       "      <td>0.29</td>\n",
       "      <td>...</td>\n",
       "      <td>1956</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>04</td>\n",
       "      <td>29</td>\n",
       "      <td>112  HILLER DR</td>\n",
       "      <td>OLD HICKORY</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22775</th>\n",
       "      <td>043 09 0 074.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-10-27</td>\n",
       "      <td>151000</td>\n",
       "      <td>20141028-0099094</td>\n",
       "      <td>Yes</td>\n",
       "      <td>BREWER HOLDINGS, LLC</td>\n",
       "      <td>213 B LOVELL ST, MADISON, TN</td>\n",
       "      <td>0.15</td>\n",
       "      <td>...</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>213 B LOVELL ST</td>\n",
       "      <td>MADISON</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45349</th>\n",
       "      <td>043 13 0 308.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>155000</td>\n",
       "      <td>20160405-0032445</td>\n",
       "      <td>No</td>\n",
       "      <td>JACKSON, ADAM L. &amp; MOORE, MARY A.</td>\n",
       "      <td>224  HICKORY ST, MADISON, TN</td>\n",
       "      <td>0.16</td>\n",
       "      <td>...</td>\n",
       "      <td>1940</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>03</td>\n",
       "      <td>31</td>\n",
       "      <td>224  HICKORY ST</td>\n",
       "      <td>MADISON</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50927</th>\n",
       "      <td>044 05 0 135.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>160000</td>\n",
       "      <td>20160617-0061987</td>\n",
       "      <td>No</td>\n",
       "      <td>SMITH, WARREN &amp; MARTHA</td>\n",
       "      <td>202  KEETON AVE, OLD HICKORY, TN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>...</td>\n",
       "      <td>2015</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>06</td>\n",
       "      <td>15</td>\n",
       "      <td>202  KEETON AVE</td>\n",
       "      <td>OLD HICKORY</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3299</th>\n",
       "      <td>052 01 0 296.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013-05-31</td>\n",
       "      <td>79370</td>\n",
       "      <td>20130620-0063114</td>\n",
       "      <td>No</td>\n",
       "      <td>KIRBY, WILLIAM E. JR</td>\n",
       "      <td>726  IDLEWILD DR, MADISON, TN</td>\n",
       "      <td>0.22</td>\n",
       "      <td>...</td>\n",
       "      <td>1957</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>05</td>\n",
       "      <td>31</td>\n",
       "      <td>726  IDLEWILD DR</td>\n",
       "      <td>MADISON</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43151</th>\n",
       "      <td>052 08 0A 320.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>150000</td>\n",
       "      <td>20160119-0004918</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>01</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49886</th>\n",
       "      <td>092 06 0 273.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>186000</td>\n",
       "      <td>20160705-0068281</td>\n",
       "      <td>No</td>\n",
       "      <td>SOLAVA, RACHEL LYNN</td>\n",
       "      <td>2721  HERMAN ST, NASHVILLE, TN</td>\n",
       "      <td>0.17</td>\n",
       "      <td>...</td>\n",
       "      <td>1987</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>06</td>\n",
       "      <td>21</td>\n",
       "      <td>2721  HERMAN ST</td>\n",
       "      <td>NASHVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27140</th>\n",
       "      <td>092 06 0 282.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-02-20</td>\n",
       "      <td>41500</td>\n",
       "      <td>20150224-0015900</td>\n",
       "      <td>No</td>\n",
       "      <td>PROSPERITAS PARTNERS LLC</td>\n",
       "      <td>815  31ST AVE N, NASHVILLE, TN</td>\n",
       "      <td>0.17</td>\n",
       "      <td>...</td>\n",
       "      <td>1960</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>02</td>\n",
       "      <td>20</td>\n",
       "      <td>815  31ST AVE N</td>\n",
       "      <td>NASHVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11478</th>\n",
       "      <td>092 13 0 322.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-01-17</td>\n",
       "      <td>269500</td>\n",
       "      <td>20140122-0006168</td>\n",
       "      <td>No</td>\n",
       "      <td>WIGGINS, MATHEW L. &amp; GOOD, KENDRA A.</td>\n",
       "      <td>237  37TH AVE N, NASHVILLE, TN</td>\n",
       "      <td>0.34</td>\n",
       "      <td>...</td>\n",
       "      <td>1945</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>01</td>\n",
       "      <td>17</td>\n",
       "      <td>237  37TH AVE N</td>\n",
       "      <td>NASHVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32385</th>\n",
       "      <td>092 13 0 339.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-06-05</td>\n",
       "      <td>450000</td>\n",
       "      <td>20150618-0058311</td>\n",
       "      <td>No</td>\n",
       "      <td>JUMPER, NICOLE</td>\n",
       "      <td>311  35TH AVE N, NASHVILLE, TN</td>\n",
       "      <td>0.16</td>\n",
       "      <td>...</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>06</td>\n",
       "      <td>05</td>\n",
       "      <td>311  35TH AVE N</td>\n",
       "      <td>NASHVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8126</th>\n",
       "      <td>093 08 0 054.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013-09-20</td>\n",
       "      <td>25000</td>\n",
       "      <td>20130923-0099666</td>\n",
       "      <td>N</td>\n",
       "      <td>CRAWFORD, CHRISTOPHER C. &amp; BOBBIE LEANN</td>\n",
       "      <td>700  GLENVIEW DR, NASHVILLE, TN</td>\n",
       "      <td>0.21</td>\n",
       "      <td>...</td>\n",
       "      <td>2015</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>09</td>\n",
       "      <td>20</td>\n",
       "      <td>700  GLENVIEW DR</td>\n",
       "      <td>NASHVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45774</th>\n",
       "      <td>107 13 0 107.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-28</td>\n",
       "      <td>169900</td>\n",
       "      <td>20160330-0030078</td>\n",
       "      <td>No</td>\n",
       "      <td>GROOMS, MICAH &amp; CASEY</td>\n",
       "      <td>1205  THOMPSON PL, NASHVILLE, TN</td>\n",
       "      <td>0.39</td>\n",
       "      <td>...</td>\n",
       "      <td>1949</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>03</td>\n",
       "      <td>28</td>\n",
       "      <td>1205  THOMPSON PL</td>\n",
       "      <td>NASHVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14753</th>\n",
       "      <td>108 07 0A 026.00</td>\n",
       "      <td>RESIDENTIAL CONDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-15</td>\n",
       "      <td>79900</td>\n",
       "      <td>20140416-0031777</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014</td>\n",
       "      <td>04</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15886</th>\n",
       "      <td>109 04 0A 080.00</td>\n",
       "      <td>VACANT RES LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-05-13</td>\n",
       "      <td>255590</td>\n",
       "      <td>20140514-0041276</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014</td>\n",
       "      <td>05</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24197</th>\n",
       "      <td>110 03 0A 061.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-11-19</td>\n",
       "      <td>269750</td>\n",
       "      <td>20141120-0106962</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51930</th>\n",
       "      <td>113 14 0A 002.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-05</td>\n",
       "      <td>133000</td>\n",
       "      <td>20160707-0069375</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>07</td>\n",
       "      <td>05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51703</th>\n",
       "      <td>114 15 0A 030.00</td>\n",
       "      <td>RESIDENTIAL CONDO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-08</td>\n",
       "      <td>343235</td>\n",
       "      <td>20160713-0071757</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>nan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>07</td>\n",
       "      <td>08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ParcelID                  LandUse PropertyAddress  \\\n",
       "UniqueID                                                              \n",
       "43076      025 07 0 031.00            SINGLE FAMILY             NaN   \n",
       "39432      026 01 0 069.00  VACANT RESIDENTIAL LAND             NaN   \n",
       "45290      026 05 0 017.00            SINGLE FAMILY             NaN   \n",
       "53147     026 06 0A 038.00        RESIDENTIAL CONDO             NaN   \n",
       "43080      033 06 0 041.00            SINGLE FAMILY             NaN   \n",
       "45295     033 06 0A 002.00            SINGLE FAMILY             NaN   \n",
       "48731      033 15 0 123.00            SINGLE FAMILY             NaN   \n",
       "36531      034 03 0 059.00            SINGLE FAMILY             NaN   \n",
       "46919     034 07 0B 015.00  VACANT RESIDENTIAL LAND             NaN   \n",
       "44264     034 16 0A 004.00  VACANT RESIDENTIAL LAND             NaN   \n",
       "45298     041 03 0A 100.00            SINGLE FAMILY             NaN   \n",
       "40678      042 13 0 075.00            SINGLE FAMILY             NaN   \n",
       "47293      043 04 0 014.00            SINGLE FAMILY             NaN   \n",
       "22775      043 09 0 074.00  VACANT RESIDENTIAL LAND             NaN   \n",
       "45349      043 13 0 308.00            SINGLE FAMILY             NaN   \n",
       "50927      044 05 0 135.00            SINGLE FAMILY             NaN   \n",
       "3299       052 01 0 296.00            SINGLE FAMILY             NaN   \n",
       "43151     052 08 0A 320.00            SINGLE FAMILY             NaN   \n",
       "49886      092 06 0 273.00            SINGLE FAMILY             NaN   \n",
       "27140      092 06 0 282.00            SINGLE FAMILY             NaN   \n",
       "11478      092 13 0 322.00            SINGLE FAMILY             NaN   \n",
       "32385      092 13 0 339.00            SINGLE FAMILY             NaN   \n",
       "8126       093 08 0 054.00            SINGLE FAMILY             NaN   \n",
       "45774      107 13 0 107.00            SINGLE FAMILY             NaN   \n",
       "14753     108 07 0A 026.00        RESIDENTIAL CONDO             NaN   \n",
       "15886     109 04 0A 080.00          VACANT RES LAND             NaN   \n",
       "24197     110 03 0A 061.00            SINGLE FAMILY             NaN   \n",
       "51930     113 14 0A 002.00  VACANT RESIDENTIAL LAND             NaN   \n",
       "51703     114 15 0A 030.00        RESIDENTIAL CONDO             NaN   \n",
       "\n",
       "           SaleDate SalePrice    LegalReference SoldAsVacant  \\\n",
       "UniqueID                                                       \n",
       "43076    2016-01-15    179900  20160120-0005776           No   \n",
       "39432    2015-10-23    153000  20151028-0109602           No   \n",
       "45290    2016-03-29    155000  20160330-0029941           No   \n",
       "53147    2016-08-25    144900  20160831-0091567           No   \n",
       "43080    2016-01-04    170000  20160107-0001526           No   \n",
       "45295    2016-03-29    210000  20160331-0030709           No   \n",
       "48731    2016-05-05    199900  20160506-0045368           No   \n",
       "36531    2015-08-13    245000  20150819-0083759           No   \n",
       "46919    2016-04-27     40000  20160304-0020905          Yes   \n",
       "44264    2016-02-04    130000  20160205-0011327          Yes   \n",
       "45298    2016-03-18    170000  20160322-0027048           No   \n",
       "40678    2015-11-30    208000  20151209-0123831           No   \n",
       "47293    2016-04-29    190000  20160503-0043576           No   \n",
       "22775    2014-10-27    151000  20141028-0099094          Yes   \n",
       "45349    2016-03-31    155000  20160405-0032445           No   \n",
       "50927    2016-06-15    160000  20160617-0061987           No   \n",
       "3299     2013-05-31     79370  20130620-0063114           No   \n",
       "43151    2016-01-15    150000  20160119-0004918           No   \n",
       "49886    2016-06-21    186000  20160705-0068281           No   \n",
       "27140    2015-02-20     41500  20150224-0015900           No   \n",
       "11478    2014-01-17    269500  20140122-0006168           No   \n",
       "32385    2015-06-05    450000  20150618-0058311           No   \n",
       "8126     2013-09-20     25000  20130923-0099666            N   \n",
       "45774    2016-03-28    169900  20160330-0030078           No   \n",
       "14753    2014-04-15     79900  20140416-0031777           No   \n",
       "15886    2014-05-13    255590  20140514-0041276           No   \n",
       "24197    2014-11-19    269750  20141120-0106962           No   \n",
       "51930    2016-07-05    133000  20160707-0069375          Yes   \n",
       "51703    2016-07-08    343235  20160713-0071757           No   \n",
       "\n",
       "                                        OwnerName  \\\n",
       "UniqueID                                            \n",
       "43076                     COSTNER, FRED & CAROLYN   \n",
       "39432                SHACKLEFORD, MICHAEL C., JR.   \n",
       "45290            TRIPP, MARVIN S. & DEBORAH YOUNG   \n",
       "53147                                         NaN   \n",
       "43080                       FRANK, ZACHARY & NIKI   \n",
       "45295                                         NaN   \n",
       "48731        COLEMAN, AARON A. & CECIL, CORRIE J.   \n",
       "36531              DILICK, JOHN MARK & ANNETTE A.   \n",
       "46919                                         NaN   \n",
       "44264                                         NaN   \n",
       "45298                                         NaN   \n",
       "40678                 SADOWSKY, ERIC C. & LISA D.   \n",
       "47293            CRIPPS, WILLIE S. JR. & GINEA M.   \n",
       "22775                        BREWER HOLDINGS, LLC   \n",
       "45349           JACKSON, ADAM L. & MOORE, MARY A.   \n",
       "50927                      SMITH, WARREN & MARTHA   \n",
       "3299                         KIRBY, WILLIAM E. JR   \n",
       "43151                                         NaN   \n",
       "49886                         SOLAVA, RACHEL LYNN   \n",
       "27140                    PROSPERITAS PARTNERS LLC   \n",
       "11478        WIGGINS, MATHEW L. & GOOD, KENDRA A.   \n",
       "32385                              JUMPER, NICOLE   \n",
       "8126      CRAWFORD, CHRISTOPHER C. & BOBBIE LEANN   \n",
       "45774                       GROOMS, MICAH & CASEY   \n",
       "14753                                         NaN   \n",
       "15886                                         NaN   \n",
       "24197                                         NaN   \n",
       "51930                                         NaN   \n",
       "51703                                         NaN   \n",
       "\n",
       "                                    OwnerAddress  Acreage  ... YearBuilt  \\\n",
       "UniqueID                                                   ...             \n",
       "43076       410  ROSEHILL CT, GOODLETTSVILLE, TN     0.96  ...      1964   \n",
       "39432     141  TWO MILE PIKE, GOODLETTSVILLE, TN     0.17  ...      2015   \n",
       "45290          208  EAST AVE, GOODLETTSVILLE, TN     0.20  ...      2008   \n",
       "53147                                        NaN      NaN  ...       nan   \n",
       "43080      1129  CAMPBELL RD, GOODLETTSVILLE, TN     0.24  ...      2000   \n",
       "45295                                        NaN      NaN  ...       nan   \n",
       "48731     438  W CAMPBELL RD, GOODLETTSVILLE, TN     1.39  ...      1954   \n",
       "36531                2117  PAULA DR, MADISON, TN     1.01  ...      1964   \n",
       "46919                                        NaN      NaN  ...       nan   \n",
       "44264                                        NaN      NaN  ...       nan   \n",
       "45298                                        NaN      NaN  ...       nan   \n",
       "40678               222  FOXBORO DR, MADISON, TN     1.01  ...      1967   \n",
       "47293            112  HILLER DR, OLD HICKORY, TN     0.29  ...      1956   \n",
       "22775               213 B LOVELL ST, MADISON, TN     0.15  ...      2015   \n",
       "45349               224  HICKORY ST, MADISON, TN     0.16  ...      1940   \n",
       "50927           202  KEETON AVE, OLD HICKORY, TN     0.12  ...      2015   \n",
       "3299               726  IDLEWILD DR, MADISON, TN     0.22  ...      1957   \n",
       "43151                                        NaN      NaN  ...       nan   \n",
       "49886             2721  HERMAN ST, NASHVILLE, TN     0.17  ...      1987   \n",
       "27140             815  31ST AVE N, NASHVILLE, TN     0.17  ...      1960   \n",
       "11478             237  37TH AVE N, NASHVILLE, TN     0.34  ...      1945   \n",
       "32385             311  35TH AVE N, NASHVILLE, TN     0.16  ...      2015   \n",
       "8126             700  GLENVIEW DR, NASHVILLE, TN     0.21  ...      2015   \n",
       "45774           1205  THOMPSON PL, NASHVILLE, TN     0.39  ...      1949   \n",
       "14753                                        NaN      NaN  ...       nan   \n",
       "15886                                        NaN      NaN  ...       nan   \n",
       "24197                                        NaN      NaN  ...       nan   \n",
       "51930                                        NaN      NaN  ...       nan   \n",
       "51703                                        NaN      NaN  ...       nan   \n",
       "\n",
       "          Bedrooms  FullBath  HalfBath SaleYear  SaleMonth  SaleDay  \\\n",
       "UniqueID                                                              \n",
       "43076          3.0       1.0       0.0     2016         01       15   \n",
       "39432          3.0       2.0       0.0     2015         10       23   \n",
       "45290          3.0       2.0       0.0     2016         03       29   \n",
       "53147          NaN       NaN       NaN     2016         08       25   \n",
       "43080          3.0       2.0       0.0     2016         01       04   \n",
       "45295          NaN       NaN       NaN     2016         03       29   \n",
       "48731          2.0       1.0       0.0     2016         05       05   \n",
       "36531          4.0       3.0       0.0     2015         08       13   \n",
       "46919          NaN       NaN       NaN     2016         04       27   \n",
       "44264          NaN       NaN       NaN     2016         02       04   \n",
       "45298          NaN       NaN       NaN     2016         03       18   \n",
       "40678          3.0       1.0       1.0     2015         11       30   \n",
       "47293          4.0       2.0       1.0     2016         04       29   \n",
       "22775          3.0       2.0       0.0     2014         10       27   \n",
       "45349          2.0       1.0       0.0     2016         03       31   \n",
       "50927          4.0       2.0       0.0     2016         06       15   \n",
       "3299           2.0       1.0       0.0     2013         05       31   \n",
       "43151          NaN       NaN       NaN     2016         01       15   \n",
       "49886          2.0       1.0       1.0     2016         06       21   \n",
       "27140          2.0       1.0       0.0     2015         02       20   \n",
       "11478          2.0       1.0       0.0     2014         01       17   \n",
       "32385          3.0       3.0       1.0     2015         06       05   \n",
       "8126           3.0       2.0       1.0     2013         09       20   \n",
       "45774          3.0       1.0       0.0     2016         03       28   \n",
       "14753          NaN       NaN       NaN     2014         04       15   \n",
       "15886          NaN       NaN       NaN     2014         05       13   \n",
       "24197          NaN       NaN       NaN     2014         11       19   \n",
       "51930          NaN       NaN       NaN     2016         07       05   \n",
       "51703          NaN       NaN       NaN     2016         07       08   \n",
       "\n",
       "                 OwnerStreet        OwnerCity OwnerState  \n",
       "UniqueID                                                  \n",
       "43076       410  ROSEHILL CT   GOODLETTSVILLE         TN  \n",
       "39432     141  TWO MILE PIKE   GOODLETTSVILLE         TN  \n",
       "45290          208  EAST AVE   GOODLETTSVILLE         TN  \n",
       "53147                    NaN              NaN        NaN  \n",
       "43080      1129  CAMPBELL RD   GOODLETTSVILLE         TN  \n",
       "45295                    NaN              NaN        NaN  \n",
       "48731     438  W CAMPBELL RD   GOODLETTSVILLE         TN  \n",
       "36531         2117  PAULA DR          MADISON         TN  \n",
       "46919                    NaN              NaN        NaN  \n",
       "44264                    NaN              NaN        NaN  \n",
       "45298                    NaN              NaN        NaN  \n",
       "40678        222  FOXBORO DR          MADISON         TN  \n",
       "47293         112  HILLER DR      OLD HICKORY         TN  \n",
       "22775        213 B LOVELL ST          MADISON         TN  \n",
       "45349        224  HICKORY ST          MADISON         TN  \n",
       "50927        202  KEETON AVE      OLD HICKORY         TN  \n",
       "3299        726  IDLEWILD DR          MADISON         TN  \n",
       "43151                    NaN              NaN        NaN  \n",
       "49886        2721  HERMAN ST        NASHVILLE         TN  \n",
       "27140        815  31ST AVE N        NASHVILLE         TN  \n",
       "11478        237  37TH AVE N        NASHVILLE         TN  \n",
       "32385        311  35TH AVE N        NASHVILLE         TN  \n",
       "8126        700  GLENVIEW DR        NASHVILLE         TN  \n",
       "45774      1205  THOMPSON PL        NASHVILLE         TN  \n",
       "14753                    NaN              NaN        NaN  \n",
       "15886                    NaN              NaN        NaN  \n",
       "24197                    NaN              NaN        NaN  \n",
       "51930                    NaN              NaN        NaN  \n",
       "51703                    NaN              NaN        NaN  \n",
       "\n",
       "[29 rows x 24 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['PropertyAddress'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56853962",
   "metadata": {},
   "source": [
    "29 Rows have no property address"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bd43eb5",
   "metadata": {},
   "source": [
    "Populate property address with owner address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2de5f3ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['PropertyAddress'] = df['OwnerAddress']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16c9e8cb",
   "metadata": {},
   "source": [
    "Split Property address into multiple columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "02e333aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[[\"PropertyStreet\", \"PropertyCity\", \"PropertyState\"]] = df[\"PropertyAddress\"].str.split(',', 2, expand=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9e7fa43d",
   "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 tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ParcelID</th>\n",
       "      <th>LandUse</th>\n",
       "      <th>PropertyAddress</th>\n",
       "      <th>SaleDate</th>\n",
       "      <th>SalePrice</th>\n",
       "      <th>LegalReference</th>\n",
       "      <th>SoldAsVacant</th>\n",
       "      <th>OwnerName</th>\n",
       "      <th>OwnerAddress</th>\n",
       "      <th>Acreage</th>\n",
       "      <th>...</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>SaleYear</th>\n",
       "      <th>SaleMonth</th>\n",
       "      <th>SaleDay</th>\n",
       "      <th>OwnerStreet</th>\n",
       "      <th>OwnerCity</th>\n",
       "      <th>OwnerState</th>\n",
       "      <th>PropertyStreet</th>\n",
       "      <th>PropertyCity</th>\n",
       "      <th>PropertyState</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UniqueID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2045</th>\n",
       "      <td>007 00 0 125.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2013-04-09</td>\n",
       "      <td>240000</td>\n",
       "      <td>20130412-0036474</td>\n",
       "      <td>No</td>\n",
       "      <td>FRAZIER, CYRENTHA LYNETTE</td>\n",
       "      <td>1808  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>04</td>\n",
       "      <td>09</td>\n",
       "      <td>1808  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>1808  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16918</th>\n",
       "      <td>007 00 0 130.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2014-06-10</td>\n",
       "      <td>366000</td>\n",
       "      <td>20140619-0053768</td>\n",
       "      <td>No</td>\n",
       "      <td>BONER, CHARLES &amp; LESLIE</td>\n",
       "      <td>1832  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>3.5</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>06</td>\n",
       "      <td>10</td>\n",
       "      <td>1832  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>1832  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54582</th>\n",
       "      <td>007 00 0 138.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1864  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2016-09-26</td>\n",
       "      <td>435000</td>\n",
       "      <td>20160927-0101718</td>\n",
       "      <td>No</td>\n",
       "      <td>WILSON, JAMES E. &amp; JOANNE</td>\n",
       "      <td>1864  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.9</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>09</td>\n",
       "      <td>26</td>\n",
       "      <td>1864  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>1864  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43070</th>\n",
       "      <td>007 00 0 143.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2016-01-29</td>\n",
       "      <td>255000</td>\n",
       "      <td>20160129-0008913</td>\n",
       "      <td>No</td>\n",
       "      <td>BAKER, JAY K. &amp; SUSAN E.</td>\n",
       "      <td>1853  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>01</td>\n",
       "      <td>29</td>\n",
       "      <td>1853  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>1853  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22714</th>\n",
       "      <td>007 00 0 149.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2014-10-10</td>\n",
       "      <td>278000</td>\n",
       "      <td>20141015-0095255</td>\n",
       "      <td>No</td>\n",
       "      <td>POST, CHRISTOPHER M. &amp; SAMANTHA C.</td>\n",
       "      <td>1829  FOX CHASE DR, GOODLETTSVILLE, TN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1829  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "      <td>1829  FOX CHASE DR</td>\n",
       "      <td>GOODLETTSVILLE</td>\n",
       "      <td>TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>30469</th>\n",
       "      <td>188 10 0A 101.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-05-27</td>\n",
       "      <td>157500</td>\n",
       "      <td>20150608-0053286</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015</td>\n",
       "      <td>05</td>\n",
       "      <td>27</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>27707</th>\n",
       "      <td>188 10 0A 107.00</td>\n",
       "      <td>SINGLE FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-03-02</td>\n",
       "      <td>145000</td>\n",
       "      <td>20150304-0019013</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015</td>\n",
       "      <td>03</td>\n",
       "      <td>02</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>52709</th>\n",
       "      <td>188 10 0A 118.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-16</td>\n",
       "      <td>234611</td>\n",
       "      <td>20160819-0087214</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>08</td>\n",
       "      <td>16</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>54042</th>\n",
       "      <td>188 10 0A 121.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>09</td>\n",
       "      <td>07</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>54043</th>\n",
       "      <td>188 10 0A 122.00</td>\n",
       "      <td>VACANT RESIDENTIAL LAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-07</td>\n",
       "      <td>93844</td>\n",
       "      <td>20160919-0098411</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016</td>\n",
       "      <td>09</td>\n",
       "      <td>07</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>56477 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ParcelID                  LandUse  \\\n",
       "UniqueID                                              \n",
       "2045       007 00 0 125.00            SINGLE FAMILY   \n",
       "16918      007 00 0 130.00            SINGLE FAMILY   \n",
       "54582      007 00 0 138.00            SINGLE FAMILY   \n",
       "43070      007 00 0 143.00            SINGLE FAMILY   \n",
       "22714      007 00 0 149.00            SINGLE FAMILY   \n",
       "...                    ...                      ...   \n",
       "30469     188 10 0A 101.00            SINGLE FAMILY   \n",
       "27707     188 10 0A 107.00            SINGLE FAMILY   \n",
       "52709     188 10 0A 118.00  VACANT RESIDENTIAL LAND   \n",
       "54042     188 10 0A 121.00  VACANT RESIDENTIAL LAND   \n",
       "54043     188 10 0A 122.00  VACANT RESIDENTIAL LAND   \n",
       "\n",
       "                                 PropertyAddress   SaleDate SalePrice  \\\n",
       "UniqueID                                                                \n",
       "2045      1808  FOX CHASE DR, GOODLETTSVILLE, TN 2013-04-09    240000   \n",
       "16918     1832  FOX CHASE DR, GOODLETTSVILLE, TN 2014-06-10    366000   \n",
       "54582     1864  FOX CHASE DR, GOODLETTSVILLE, TN 2016-09-26    435000   \n",
       "43070     1853  FOX CHASE DR, GOODLETTSVILLE, TN 2016-01-29    255000   \n",
       "22714     1829  FOX CHASE DR, GOODLETTSVILLE, TN 2014-10-10    278000   \n",
       "...                                          ...        ...       ...   \n",
       "30469                                        NaN 2015-05-27    157500   \n",
       "27707                                        NaN 2015-03-02    145000   \n",
       "52709                                        NaN 2016-08-16    234611   \n",
       "54042                                        NaN 2016-09-07     93844   \n",
       "54043                                        NaN 2016-09-07     93844   \n",
       "\n",
       "            LegalReference SoldAsVacant                           OwnerName  \\\n",
       "UniqueID                                                                      \n",
       "2045      20130412-0036474           No           FRAZIER, CYRENTHA LYNETTE   \n",
       "16918     20140619-0053768           No             BONER, CHARLES & LESLIE   \n",
       "54582     20160927-0101718           No           WILSON, JAMES E. & JOANNE   \n",
       "43070     20160129-0008913           No            BAKER, JAY K. & SUSAN E.   \n",
       "22714     20141015-0095255           No  POST, CHRISTOPHER M. & SAMANTHA C.   \n",
       "...                    ...          ...                                 ...   \n",
       "30469     20150608-0053286           No                                 NaN   \n",
       "27707     20150304-0019013           No                                 NaN   \n",
       "52709     20160819-0087214          Yes                                 NaN   \n",
       "54042     20160919-0098411          Yes                                 NaN   \n",
       "54043     20160919-0098411          Yes                                 NaN   \n",
       "\n",
       "                                    OwnerAddress  Acreage  ... HalfBath  \\\n",
       "UniqueID                                                   ...            \n",
       "2045      1808  FOX CHASE DR, GOODLETTSVILLE, TN      2.3  ...      0.0   \n",
       "16918     1832  FOX CHASE DR, GOODLETTSVILLE, TN      3.5  ...      2.0   \n",
       "54582     1864  FOX CHASE DR, GOODLETTSVILLE, TN      2.9  ...      0.0   \n",
       "43070     1853  FOX CHASE DR, GOODLETTSVILLE, TN      2.6  ...      0.0   \n",
       "22714     1829  FOX CHASE DR, GOODLETTSVILLE, TN      2.0  ...      0.0   \n",
       "...                                          ...      ...  ...      ...   \n",
       "30469                                        NaN      NaN  ...      NaN   \n",
       "27707                                        NaN      NaN  ...      NaN   \n",
       "52709                                        NaN      NaN  ...      NaN   \n",
       "54042                                        NaN      NaN  ...      NaN   \n",
       "54043                                        NaN      NaN  ...      NaN   \n",
       "\n",
       "          SaleYear  SaleMonth  SaleDay         OwnerStreet        OwnerCity  \\\n",
       "UniqueID                                                                      \n",
       "2045          2013         04       09  1808  FOX CHASE DR   GOODLETTSVILLE   \n",
       "16918         2014         06       10  1832  FOX CHASE DR   GOODLETTSVILLE   \n",
       "54582         2016         09       26  1864  FOX CHASE DR   GOODLETTSVILLE   \n",
       "43070         2016         01       29  1853  FOX CHASE DR   GOODLETTSVILLE   \n",
       "22714         2014         10       10  1829  FOX CHASE DR   GOODLETTSVILLE   \n",
       "...            ...        ...      ...                 ...              ...   \n",
       "30469         2015         05       27                 NaN              NaN   \n",
       "27707         2015         03       02                 NaN              NaN   \n",
       "52709         2016         08       16                 NaN              NaN   \n",
       "54042         2016         09       07                 NaN              NaN   \n",
       "54043         2016         09       07                 NaN              NaN   \n",
       "\n",
       "          OwnerState      PropertyStreet     PropertyCity PropertyState  \n",
       "UniqueID                                                                 \n",
       "2045              TN  1808  FOX CHASE DR   GOODLETTSVILLE            TN  \n",
       "16918             TN  1832  FOX CHASE DR   GOODLETTSVILLE            TN  \n",
       "54582             TN  1864  FOX CHASE DR   GOODLETTSVILLE            TN  \n",
       "43070             TN  1853  FOX CHASE DR   GOODLETTSVILLE            TN  \n",
       "22714             TN  1829  FOX CHASE DR   GOODLETTSVILLE            TN  \n",
       "...              ...                 ...              ...           ...  \n",
       "30469            NaN                 NaN              NaN           NaN  \n",
       "27707            NaN                 NaN              NaN           NaN  \n",
       "52709            NaN                 NaN              NaN           NaN  \n",
       "54042            NaN                 NaN              NaN           NaN  \n",
       "54043            NaN                 NaN              NaN           NaN  \n",
       "\n",
       "[56477 rows x 27 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "313e05a2",
   "metadata": {},
   "source": [
    "Standardise columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "313891ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['No', 'N', 'Yes', 'Y'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['SoldAsVacant'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4988cf",
   "metadata": {},
   "source": [
    "Standardarise 'SoldAsVacant' column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "db0a918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['SoldAsVacant'] = df['SoldAsVacant'].replace(['N', 'Y'], ['No', 'Yes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cde9bfcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['No', 'Yes'], dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['SoldAsVacant'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e1280ab",
   "metadata": {},
   "source": [
    "'SoldAsVacant' column standardised"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efcbdda4",
   "metadata": {},
   "source": [
    "Remove Duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "07926ff4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 103 duplicates\n"
     ]
    }
   ],
   "source": [
    "print(f\"there are {df.duplicated().sum()} duplicates\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8cc41039",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d48154e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 0 duplicates\n"
     ]
    }
   ],
   "source": [
    "print(f\"there are {df.duplicated().sum()} duplicates\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0843c0d5",
   "metadata": {},
   "source": [
    "Drop unused columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0ff4aca6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ParcelID', 'LandUse', 'PropertyAddress', 'SaleDate', 'SalePrice',\n",
       "       'LegalReference', 'SoldAsVacant', 'OwnerName', 'OwnerAddress',\n",
       "       'Acreage', 'TaxDistrict', 'LandValue', 'BuildingValue', 'TotalValue',\n",
       "       'YearBuilt', 'Bedrooms', 'FullBath', 'HalfBath', 'SaleYear',\n",
       "       'SaleMonth', 'SaleDay', 'OwnerStreet', 'OwnerCity', 'OwnerState',\n",
       "       'PropertyStreet', 'PropertyCity', 'PropertyState'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4657fc76",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['PropertyAddress', 'OwnerAddress', 'TaxDistrict'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc9671f8",
   "metadata": {},
   "source": [
    "## Correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "227866b7",
   "metadata": {},
   "source": [
    "Create correlation matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "58379a76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matrix = df.corr(method='pearson')\n",
    "\n",
    "sns.heatmap(correlation_matrix, annot=True)\n",
    "\n",
    "plt.title('Correlation Matrix')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a541d8ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter plot for building value vs total value\n",
    "\n",
    "plt.scatter(x=df['BuildingValue'], y=df['TotalValue'])\n",
    "\n",
    "plt.title('Building Value vs Total Value')\n",
    "\n",
    "plt.xlabel('Building Value')\n",
    "\n",
    "plt.ylabel('Total Value')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89c5aa2a",
   "metadata": {},
   "source": [
    "Get a better view of the data by eliminating outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "bbda3e8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12971800.0"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['BuildingValue'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "118b9945",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_filtered = df[(df['BuildingValue'] < 12971800.0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "bf1fe0dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5824300.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_filtered['BuildingValue'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6f2dc26",
   "metadata": {},
   "source": [
    "New scatterplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "185982bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.regplot(x='BuildingValue', y='TotalValue', data=df_filtered, scatter_kws={'color': 'black'}, line_kws={'color': 'red'})\n",
    "ax.set_title('Figure 1: Building Value vs Total Value')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "e67499c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.regplot(x='LandValue', y='TotalValue', data=df_filtered, scatter_kws={'color': 'black'}, line_kws={'color': 'red'})\n",
    "ax.set_title('Figure 2: Land Value vs Total Value')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "348cfe0b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.regplot(x='LandValue', y='BuildingValue', data=df_filtered, scatter_kws={'color': 'black'}, line_kws={'color': 'red'})\n",
    "ax.set_title('Figure 3: Land Value vs Building Value')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6174d272",
   "metadata": {},
   "source": [
    "Figure 3 shows that there are plenty of buildings that don't have a value yet have a land value of over 0.  This could mean that there are buildings that have been planned to be built on land in the future."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7db6e5e7",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}