project_cleaning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f80ad0eb-1847-4df5-bf2c-a33ef183075f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotnine.data import txhousing\n",
    "data_1 = txhousing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f8b0ba85-421a-469f-921c-2e3bfd968c93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city            0\n",
       "year            0\n",
       "month           0\n",
       "sales         568\n",
       "volume        568\n",
       "median        616\n",
       "listings     1424\n",
       "inventory    1467\n",
       "date            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "null_values = data_1.isnull().sum()\n",
    "null_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "89bb183c-b140-4359-a87a-5585950fa752",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8602 entries, 0 to 8601\n",
      "Data columns (total 9 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   city       8602 non-null   object \n",
      " 1   year       8602 non-null   int64  \n",
      " 2   month      8602 non-null   int64  \n",
      " 3   sales      8034 non-null   float64\n",
      " 4   volume     8034 non-null   float64\n",
      " 5   median     7986 non-null   float64\n",
      " 6   listings   7178 non-null   float64\n",
      " 7   inventory  7135 non-null   float64\n",
      " 8   date       8602 non-null   float64\n",
      "dtypes: float64(6), int64(2), object(1)\n",
      "memory usage: 605.0+ KB\n"
     ]
    }
   ],
   "source": [
    "data_1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "03dae19e-a8ea-4d48-b418-184c128dfc55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>sales</th>\n",
       "      <th>volume</th>\n",
       "      <th>median</th>\n",
       "      <th>listings</th>\n",
       "      <th>inventory</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>72.0</td>\n",
       "      <td>5380000.0</td>\n",
       "      <td>71400.0</td>\n",
       "      <td>701.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>2</td>\n",
       "      <td>98.0</td>\n",
       "      <td>6505000.0</td>\n",
       "      <td>58700.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2000.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>130.0</td>\n",
       "      <td>9285000.0</td>\n",
       "      <td>58100.0</td>\n",
       "      <td>784.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2000.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>4</td>\n",
       "      <td>98.0</td>\n",
       "      <td>9730000.0</td>\n",
       "      <td>68600.0</td>\n",
       "      <td>785.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2000.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>5</td>\n",
       "      <td>141.0</td>\n",
       "      <td>10590000.0</td>\n",
       "      <td>67300.0</td>\n",
       "      <td>794.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2000.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      city  year  month  sales      volume   median  listings  inventory  \\\n",
       "0  Abilene  2000      1   72.0   5380000.0  71400.0     701.0        6.3   \n",
       "1  Abilene  2000      2   98.0   6505000.0  58700.0     746.0        6.6   \n",
       "2  Abilene  2000      3  130.0   9285000.0  58100.0     784.0        6.8   \n",
       "3  Abilene  2000      4   98.0   9730000.0  68600.0     785.0        6.9   \n",
       "4  Abilene  2000      5  141.0  10590000.0  67300.0     794.0        6.8   \n",
       "\n",
       "          date  \n",
       "0  2000.000000  \n",
       "1  2000.083333  \n",
       "2  2000.166667  \n",
       "3  2000.250000  \n",
       "4  2000.333333  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "318be23a-5452-44fc-835a-6d6fc6274297",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['city',\n",
       " 'year',\n",
       " 'month',\n",
       " 'sales',\n",
       " 'volume',\n",
       " 'median',\n",
       " 'listings',\n",
       " 'inventory',\n",
       " 'date']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_1.columns.to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3797a5b4-8008-427c-8f19-f2b308088ae4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 0, 0, 568, 568, 616, 1424, 1467, 0]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_1.isna().sum().to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5ffc1504-7f20-4899-bc38-ed15567c2e81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city            0\n",
       "year            0\n",
       "month           0\n",
       "sales         568\n",
       "volume        568\n",
       "median        616\n",
       "listings     1424\n",
       "inventory    1467\n",
       "date            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nv = data_1.isnull().sum(axis = 0)\n",
    "nv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b63dc4ec-49b6-4552-b913-543d9e1eec86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Abilene', 'Amarillo', 'Arlington', 'Austin', 'Bay Area',\n",
       "       'Beaumont', 'Brazoria County', 'Brownsville',\n",
       "       'Bryan-College Station', 'Collin County', 'Corpus Christi',\n",
       "       'Dallas', 'Denton County', 'El Paso', 'Fort Bend', 'Fort Worth',\n",
       "       'Galveston', 'Garland', 'Harlingen', 'Houston', 'Irving',\n",
       "       'Kerrville', 'Killeen-Fort Hood', 'Laredo', 'Longview-Marshall',\n",
       "       'Lubbock', 'Lufkin', 'McAllen', 'Midland', 'Montgomery County',\n",
       "       'Nacogdoches', 'NE Tarrant County', 'Odessa', 'Paris',\n",
       "       'Port Arthur', 'San Angelo', 'San Antonio', 'San Marcos',\n",
       "       'Sherman-Denison', 'South Padre Island', 'Temple-Belton',\n",
       "       'Texarkana', 'Tyler', 'Victoria', 'Waco', 'Wichita Falls'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_1['city'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "191ad569-38d4-43f5-9919-c6ed07b09065",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>sales</th>\n",
       "      <th>volume</th>\n",
       "      <th>median</th>\n",
       "      <th>listings</th>\n",
       "      <th>inventory</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>city</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>Abilene</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Amarillo</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arlington</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bay Area</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beaumont</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazoria County</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>173</td>\n",
       "      <td>173</td>\n",
       "      <td>173</td>\n",
       "      <td>131</td>\n",
       "      <td>129</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brownsville</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bryan-College Station</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collin County</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corpus Christi</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>184</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denton County</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El Paso</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fort Bend</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fort Worth</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Galveston</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>164</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garland</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harlingen</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>162</td>\n",
       "      <td>162</td>\n",
       "      <td>162</td>\n",
       "      <td>128</td>\n",
       "      <td>120</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Houston</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Irving</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kerrville</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>82</td>\n",
       "      <td>76</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Killeen-Fort Hood</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laredo</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>151</td>\n",
       "      <td>151</td>\n",
       "      <td>149</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longview-Marshall</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>175</td>\n",
       "      <td>175</td>\n",
       "      <td>175</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lubbock</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lufkin</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McAllen</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Midland</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>112</td>\n",
       "      <td>112</td>\n",
       "      <td>112</td>\n",
       "      <td>111</td>\n",
       "      <td>105</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montgomery County</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE Tarrant County</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nacogdoches</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>176</td>\n",
       "      <td>176</td>\n",
       "      <td>176</td>\n",
       "      <td>119</td>\n",
       "      <td>118</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Odessa</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>115</td>\n",
       "      <td>115</td>\n",
       "      <td>115</td>\n",
       "      <td>81</td>\n",
       "      <td>80</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paris</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Port Arthur</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Angelo</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>185</td>\n",
       "      <td>171</td>\n",
       "      <td>171</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Antonio</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Marcos</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>141</td>\n",
       "      <td>141</td>\n",
       "      <td>141</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sherman-Denison</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Padre Island</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>62</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Temple-Belton</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>176</td>\n",
       "      <td>176</td>\n",
       "      <td>176</td>\n",
       "      <td>157</td>\n",
       "      <td>153</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texarkana</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>107</td>\n",
       "      <td>106</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyler</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Victoria</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>185</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waco</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>150</td>\n",
       "      <td>129</td>\n",
       "      <td>122</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wichita Falls</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       year  month  sales  volume  median  listings  \\\n",
       "city                                                                  \n",
       "Abilene                 187    187    187     187     187       186   \n",
       "Amarillo                187    187    187     187     187       182   \n",
       "Arlington               187    187    187     187     187       186   \n",
       "Austin                  187    187    187     187     187       187   \n",
       "Bay Area                187    187    187     187     187       186   \n",
       "Beaumont                187    187    187     187     187       187   \n",
       "Brazoria County         187    187    173     173     173       131   \n",
       "Brownsville             187    187    185     185     185        83   \n",
       "Bryan-College Station   187    187    187     187     187       187   \n",
       "Collin County           187    187    187     187     187       186   \n",
       "Corpus Christi          187    187    186     186     184       182   \n",
       "Dallas                  187    187    187     187     187       186   \n",
       "Denton County           187    187    187     187     187       186   \n",
       "El Paso                 187    187    187     187     187       161   \n",
       "Fort Bend               187    187    187     187     187       186   \n",
       "Fort Worth              187    187    187     187     187       186   \n",
       "Galveston               187    187    186     186     164       150   \n",
       "Garland                 187    187    187     187     187       186   \n",
       "Harlingen               187    187    162     162     162       128   \n",
       "Houston                 187    187    187     187     187       186   \n",
       "Irving                  187    187    187     187     187       186   \n",
       "Kerrville               187    187     83      83      83        82   \n",
       "Killeen-Fort Hood       187    187    186     186     186       163   \n",
       "Laredo                  187    187    151     151     149        88   \n",
       "Longview-Marshall       187    187    175     175     175       145   \n",
       "Lubbock                 187    187    186     186     186       186   \n",
       "Lufkin                  187    187    187     187     187        88   \n",
       "McAllen                 187    187    185     185     185       109   \n",
       "Midland                 187    187    112     112     112       111   \n",
       "Montgomery County       187    187    187     187     187       186   \n",
       "NE Tarrant County       187    187    187     187     187       186   \n",
       "Nacogdoches             187    187    176     176     176       119   \n",
       "Odessa                  187    187    115     115     115        81   \n",
       "Paris                   187    187    187     187     187       168   \n",
       "Port Arthur             187    187    185     185     185       181   \n",
       "San Angelo              187    187    187     187     185       171   \n",
       "San Antonio             187    187    187     187     187       184   \n",
       "San Marcos              187    187    141     141     141        97   \n",
       "Sherman-Denison         187    187    187     187     187       186   \n",
       "South Padre Island      187    187     71      71      71        69   \n",
       "Temple-Belton           187    187    176     176     176       157   \n",
       "Texarkana               187    187    170     170     170       107   \n",
       "Tyler                   187    187    187     187     187       187   \n",
       "Victoria                187    187    187     187     185       187   \n",
       "Waco                    187    187    168     168     150       129   \n",
       "Wichita Falls           187    187    187     187     187       187   \n",
       "\n",
       "                       inventory  date  \n",
       "city                                    \n",
       "Abilene                      186   187  \n",
       "Amarillo                     182   187  \n",
       "Arlington                    186   187  \n",
       "Austin                       187   187  \n",
       "Bay Area                     186   187  \n",
       "Beaumont                     187   187  \n",
       "Brazoria County              129   187  \n",
       "Brownsville                   83   187  \n",
       "Bryan-College Station        187   187  \n",
       "Collin County                186   187  \n",
       "Corpus Christi               182   187  \n",
       "Dallas                       186   187  \n",
       "Denton County                186   187  \n",
       "El Paso                      161   187  \n",
       "Fort Bend                    186   187  \n",
       "Fort Worth                   186   187  \n",
       "Galveston                    150   187  \n",
       "Garland                      186   187  \n",
       "Harlingen                    120   187  \n",
       "Houston                      186   187  \n",
       "Irving                       186   187  \n",
       "Kerrville                     76   187  \n",
       "Killeen-Fort Hood            163   187  \n",
       "Laredo                        88   187  \n",
       "Longview-Marshall            145   187  \n",
       "Lubbock                      186   187  \n",
       "Lufkin                        88   187  \n",
       "McAllen                      109   187  \n",
       "Midland                      105   187  \n",
       "Montgomery County            186   187  \n",
       "NE Tarrant County            186   187  \n",
       "Nacogdoches                  118   187  \n",
       "Odessa                        80   187  \n",
       "Paris                        168   187  \n",
       "Port Arthur                  181   187  \n",
       "San Angelo                   171   187  \n",
       "San Antonio                  184   187  \n",
       "San Marcos                    97   187  \n",
       "Sherman-Denison              186   187  \n",
       "South Padre Island            62   187  \n",
       "Temple-Belton                153   187  \n",
       "Texarkana                    106   187  \n",
       "Tyler                        187   187  \n",
       "Victoria                     187   187  \n",
       "Waco                         122   187  \n",
       "Wichita Falls                187   187  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_1.groupby('city').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9119789c-1630-4eca-a8ea-4133b4840e87",
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop rows with NAN values \n",
    "#data_2 = data_1.dropna(inplace=True)\n",
    "data_2 = data_1.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "216f4d52-7984-443e-9b20-cde72ca34692",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city         0\n",
       "year         0\n",
       "month        0\n",
       "sales        0\n",
       "volume       0\n",
       "median       0\n",
       "listings     0\n",
       "inventory    0\n",
       "date         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_values2 = data_2.isnull().sum()\n",
    "null_values2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9dcd446e-e226-4137-8a4c-757c85683963",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 7126 entries, 0 to 8601\n",
      "Data columns (total 12 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   city        7126 non-null   object \n",
      " 1   year        7126 non-null   int64  \n",
      " 2   month       7126 non-null   int64  \n",
      " 3   sales       7126 non-null   float64\n",
      " 4   volume      7126 non-null   float64\n",
      " 5   median      7126 non-null   float64\n",
      " 6   listings    7126 non-null   float64\n",
      " 7   inventory   7126 non-null   float64\n",
      " 8   date        7126 non-null   float64\n",
      " 9   mean_price  7126 non-null   float64\n",
      " 10  price_dif   7126 non-null   float64\n",
      " 11  sales_prop  7126 non-null   float64\n",
      "dtypes: float64(9), int64(2), object(1)\n",
      "memory usage: 723.7+ KB\n"
     ]
    }
   ],
   "source": [
    "data_2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f5495fa3-7c67-48fa-804f-0584a77eb3bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>sales</th>\n",
       "      <th>volume</th>\n",
       "      <th>median</th>\n",
       "      <th>listings</th>\n",
       "      <th>inventory</th>\n",
       "      <th>date</th>\n",
       "      <th>mean_price</th>\n",
       "      <th>price_dif</th>\n",
       "      <th>sales_prop</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>city</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>Abilene</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Amarillo</th>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arlington</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bay Area</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beaumont</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazoria County</th>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brownsville</th>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bryan-College Station</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collin County</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corpus Christi</th>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denton County</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El Paso</th>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fort Bend</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fort Worth</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Galveston</th>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garland</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harlingen</th>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Houston</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Irving</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kerrville</th>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Killeen-Fort Hood</th>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Laredo</th>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longview-Marshall</th>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lubbock</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lufkin</th>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McAllen</th>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Midland</th>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montgomery County</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE Tarrant County</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nacogdoches</th>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Odessa</th>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paris</th>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Port Arthur</th>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Angelo</th>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Antonio</th>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Marcos</th>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sherman-Denison</th>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Padre Island</th>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Temple-Belton</th>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texarkana</th>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyler</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Victoria</th>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Waco</th>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wichita Falls</th>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       year  month  sales  volume  median  listings  \\\n",
       "city                                                                  \n",
       "Abilene                 186    186    186     186     186       186   \n",
       "Amarillo                182    182    182     182     182       182   \n",
       "Arlington               186    186    186     186     186       186   \n",
       "Austin                  187    187    187     187     187       187   \n",
       "Bay Area                186    186    186     186     186       186   \n",
       "Beaumont                187    187    187     187     187       187   \n",
       "Brazoria County         129    129    129     129     129       129   \n",
       "Brownsville              82     82     82      82      82        82   \n",
       "Bryan-College Station   187    187    187     187     187       187   \n",
       "Collin County           186    186    186     186     186       186   \n",
       "Corpus Christi          180    180    180     180     180       180   \n",
       "Dallas                  186    186    186     186     186       186   \n",
       "Denton County           186    186    186     186     186       186   \n",
       "El Paso                 161    161    161     161     161       161   \n",
       "Fort Bend               186    186    186     186     186       186   \n",
       "Fort Worth              186    186    186     186     186       186   \n",
       "Galveston               150    150    150     150     150       150   \n",
       "Garland                 186    186    186     186     186       186   \n",
       "Harlingen               120    120    120     120     120       120   \n",
       "Houston                 186    186    186     186     186       186   \n",
       "Irving                  186    186    186     186     186       186   \n",
       "Kerrville                76     76     76      76      76        76   \n",
       "Killeen-Fort Hood       163    163    163     163     163       163   \n",
       "Laredo                   86     86     86      86      86        86   \n",
       "Longview-Marshall       145    145    145     145     145       145   \n",
       "Lubbock                 186    186    186     186     186       186   \n",
       "Lufkin                   88     88     88      88      88        88   \n",
       "McAllen                 109    109    109     109     109       109   \n",
       "Midland                 105    105    105     105     105       105   \n",
       "Montgomery County       186    186    186     186     186       186   \n",
       "NE Tarrant County       186    186    186     186     186       186   \n",
       "Nacogdoches             118    118    118     118     118       118   \n",
       "Odessa                   80     80     80      80      80        80   \n",
       "Paris                   168    168    168     168     168       168   \n",
       "Port Arthur             181    181    181     181     181       181   \n",
       "San Angelo              169    169    169     169     169       169   \n",
       "San Antonio             184    184    184     184     184       184   \n",
       "San Marcos               97     97     97      97      97        97   \n",
       "Sherman-Denison         186    186    186     186     186       186   \n",
       "South Padre Island       62     62     62      62      62        62   \n",
       "Temple-Belton           153    153    153     153     153       153   \n",
       "Texarkana               106    106    106     106     106       106   \n",
       "Tyler                   187    187    187     187     187       187   \n",
       "Victoria                185    185    185     185     185       185   \n",
       "Waco                    122    122    122     122     122       122   \n",
       "Wichita Falls           187    187    187     187     187       187   \n",
       "\n",
       "                       inventory  date  mean_price  price_dif  sales_prop  \n",
       "city                                                                       \n",
       "Abilene                      186   186         186        186         186  \n",
       "Amarillo                     182   182         182        182         182  \n",
       "Arlington                    186   186         186        186         186  \n",
       "Austin                       187   187         187        187         187  \n",
       "Bay Area                     186   186         186        186         186  \n",
       "Beaumont                     187   187         187        187         187  \n",
       "Brazoria County              129   129         129        129         129  \n",
       "Brownsville                   82    82          82         82          82  \n",
       "Bryan-College Station        187   187         187        187         187  \n",
       "Collin County                186   186         186        186         186  \n",
       "Corpus Christi               180   180         180        180         180  \n",
       "Dallas                       186   186         186        186         186  \n",
       "Denton County                186   186         186        186         186  \n",
       "El Paso                      161   161         161        161         161  \n",
       "Fort Bend                    186   186         186        186         186  \n",
       "Fort Worth                   186   186         186        186         186  \n",
       "Galveston                    150   150         150        150         150  \n",
       "Garland                      186   186         186        186         186  \n",
       "Harlingen                    120   120         120        120         120  \n",
       "Houston                      186   186         186        186         186  \n",
       "Irving                       186   186         186        186         186  \n",
       "Kerrville                     76    76          76         76          76  \n",
       "Killeen-Fort Hood            163   163         163        163         163  \n",
       "Laredo                        86    86          86         86          86  \n",
       "Longview-Marshall            145   145         145        145         145  \n",
       "Lubbock                      186   186         186        186         186  \n",
       "Lufkin                        88    88          88         88          88  \n",
       "McAllen                      109   109         109        109         109  \n",
       "Midland                      105   105         105        105         105  \n",
       "Montgomery County            186   186         186        186         186  \n",
       "NE Tarrant County            186   186         186        186         186  \n",
       "Nacogdoches                  118   118         118        118         118  \n",
       "Odessa                        80    80          80         80          80  \n",
       "Paris                        168   168         168        168         168  \n",
       "Port Arthur                  181   181         181        181         181  \n",
       "San Angelo                   169   169         169        169         169  \n",
       "San Antonio                  184   184         184        184         184  \n",
       "San Marcos                    97    97          97         97          97  \n",
       "Sherman-Denison              186   186         186        186         186  \n",
       "South Padre Island            62    62          62         62          62  \n",
       "Temple-Belton                153   153         153        153         153  \n",
       "Texarkana                    106   106         106        106         106  \n",
       "Tyler                        187   187         187        187         187  \n",
       "Victoria                     185   185         185        185         185  \n",
       "Waco                         122   122         122        122         122  \n",
       "Wichita Falls                187   187         187        187         187  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_2.groupby('city').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a5a44f22-8208-4635-970c-68fb6b9098af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "data_2['volume'].plot(kind='line', figsize=(8, 4), title='volume')\n",
    "plt.gca().spines[['top', 'right']].set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "da5f23fa-fc4f-4118-9503-a9f6d7339f90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Scatter Plot of Volume vs. Median')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "data_2.plot(kind='scatter', x='volume', y='median', s=32, alpha=.8)\n",
    "plt.gca().spines[['top', 'right',]].set_visible(False)\n",
    "plt.title('Scatter Plot of Volume vs. Median')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e7cf6f5d-8d67-420c-bfcb-7a137ee65831",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of sales: 4296803.0\n",
      "Total volume of sales: 842666025727.0\n",
      "Number of unique cities: 46\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "#total number of sales\n",
    "total_sales = data_2['sales'].sum()\n",
    "\n",
    "#total volume of sales\n",
    "total_volume = data_2['volume'].sum()\n",
    "\n",
    "#number of unique cities\n",
    "num_cities = data_2['city'].nunique()\n",
    "\n",
    "print(\"Total number of sales:\", total_sales)\n",
    "print(\"Total volume of sales:\", total_volume)\n",
    "print(\"Number of unique cities:\", num_cities)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "fc2d47b6-b108-4ed5-822e-b5eb15f606f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>sales</th>\n",
       "      <th>volume</th>\n",
       "      <th>median</th>\n",
       "      <th>listings</th>\n",
       "      <th>inventory</th>\n",
       "      <th>date</th>\n",
       "      <th>mean_price</th>\n",
       "      <th>price_dif</th>\n",
       "      <th>sales_prop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>72.0</td>\n",
       "      <td>5380000.0</td>\n",
       "      <td>71400.0</td>\n",
       "      <td>701.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>74722.222222</td>\n",
       "      <td>3322.222222</td>\n",
       "      <td>0.102710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>2</td>\n",
       "      <td>98.0</td>\n",
       "      <td>6505000.0</td>\n",
       "      <td>58700.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2000.083333</td>\n",
       "      <td>66377.551020</td>\n",
       "      <td>7677.551020</td>\n",
       "      <td>0.131367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>130.0</td>\n",
       "      <td>9285000.0</td>\n",
       "      <td>58100.0</td>\n",
       "      <td>784.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2000.166667</td>\n",
       "      <td>71423.076923</td>\n",
       "      <td>13323.076923</td>\n",
       "      <td>0.165816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>4</td>\n",
       "      <td>98.0</td>\n",
       "      <td>9730000.0</td>\n",
       "      <td>68600.0</td>\n",
       "      <td>785.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2000.250000</td>\n",
       "      <td>99285.714286</td>\n",
       "      <td>30685.714286</td>\n",
       "      <td>0.124841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>5</td>\n",
       "      <td>141.0</td>\n",
       "      <td>10590000.0</td>\n",
       "      <td>67300.0</td>\n",
       "      <td>794.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2000.333333</td>\n",
       "      <td>75106.382979</td>\n",
       "      <td>7806.382979</td>\n",
       "      <td>0.177582</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      city  year  month  sales      volume   median  listings  inventory  \\\n",
       "0  Abilene  2000      1   72.0   5380000.0  71400.0     701.0        6.3   \n",
       "1  Abilene  2000      2   98.0   6505000.0  58700.0     746.0        6.6   \n",
       "2  Abilene  2000      3  130.0   9285000.0  58100.0     784.0        6.8   \n",
       "3  Abilene  2000      4   98.0   9730000.0  68600.0     785.0        6.9   \n",
       "4  Abilene  2000      5  141.0  10590000.0  67300.0     794.0        6.8   \n",
       "\n",
       "          date    mean_price     price_dif  sales_prop  \n",
       "0  2000.000000  74722.222222   3322.222222    0.102710  \n",
       "1  2000.083333  66377.551020   7677.551020    0.131367  \n",
       "2  2000.166667  71423.076923  13323.076923    0.165816  \n",
       "3  2000.250000  99285.714286  30685.714286    0.124841  \n",
       "4  2000.333333  75106.382979   7806.382979    0.177582  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "txh = data_2\n",
    "# mean_price-mean sale price of all sales in a city in a given month\n",
    "txh['mean_price'] = txh['volume'] / txh['sales']\n",
    "\n",
    "# median sale price in a given month will generally be different from the mean_price- diff is given by price_diff\n",
    "txh['price_dif'] = txh['mean_price'] - txh['median']\n",
    "\n",
    "# calculates the proportion of listings that resulted in sales in a given month.\n",
    "txh['sales_prop'] = txh['sales'] / txh['listings']\n",
    "txh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "478dccc4-7469-430c-9062-16bee5ce37ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>sales</th>\n",
       "      <th>volume</th>\n",
       "      <th>median</th>\n",
       "      <th>listings</th>\n",
       "      <th>inventory</th>\n",
       "      <th>date</th>\n",
       "      <th>mean_price</th>\n",
       "      <th>price_dif</th>\n",
       "      <th>sales_prop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3361</th>\n",
       "      <td>Garland</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>172.0</td>\n",
       "      <td>25582593.0</td>\n",
       "      <td>135900.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2015.166667</td>\n",
       "      <td>148736.005814</td>\n",
       "      <td>12836.005814</td>\n",
       "      <td>1.178082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3363</th>\n",
       "      <td>Garland</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>195.0</td>\n",
       "      <td>32018011.0</td>\n",
       "      <td>151000.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2015.333333</td>\n",
       "      <td>164194.928205</td>\n",
       "      <td>13194.928205</td>\n",
       "      <td>1.101695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3364</th>\n",
       "      <td>Garland</td>\n",
       "      <td>2015</td>\n",
       "      <td>6</td>\n",
       "      <td>212.0</td>\n",
       "      <td>35772714.0</td>\n",
       "      <td>154800.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2015.416667</td>\n",
       "      <td>168739.216981</td>\n",
       "      <td>13939.216981</td>\n",
       "      <td>1.019231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5357</th>\n",
       "      <td>Midland</td>\n",
       "      <td>2010</td>\n",
       "      <td>2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>19880017.0</td>\n",
       "      <td>175400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2010.083333</td>\n",
       "      <td>198800.170000</td>\n",
       "      <td>23400.170000</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6087</th>\n",
       "      <td>Odessa</td>\n",
       "      <td>2008</td>\n",
       "      <td>8</td>\n",
       "      <td>150.0</td>\n",
       "      <td>23100000.0</td>\n",
       "      <td>136700.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2008.583333</td>\n",
       "      <td>154000.000000</td>\n",
       "      <td>17300.000000</td>\n",
       "      <td>1.648352</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         city  year  month  sales      volume    median  listings  inventory  \\\n",
       "3361  Garland  2015      3  172.0  25582593.0  135900.0     146.0        0.8   \n",
       "3363  Garland  2015      5  195.0  32018011.0  151000.0     177.0        1.0   \n",
       "3364  Garland  2015      6  212.0  35772714.0  154800.0     208.0        1.2   \n",
       "5357  Midland  2010      2  100.0  19880017.0  175400.0       0.0        0.0   \n",
       "6087   Odessa  2008      8  150.0  23100000.0  136700.0      91.0        0.8   \n",
       "\n",
       "             date     mean_price     price_dif  sales_prop  \n",
       "3361  2015.166667  148736.005814  12836.005814    1.178082  \n",
       "3363  2015.333333  164194.928205  13194.928205    1.101695  \n",
       "3364  2015.416667  168739.216981  13939.216981    1.019231  \n",
       "5357  2010.083333  198800.170000  23400.170000         inf  \n",
       "6087  2008.583333  154000.000000  17300.000000    1.648352  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_prop_greater_one = txh[txh['sales_prop'] > 1]\n",
    "sales_prop_greater_one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "55cef1db-2102-4f1d-b88e-84b5c40580a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>price_dif</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>NE Tarrant County</td>\n",
       "      <td>54831.197671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Austin</td>\n",
       "      <td>53948.254266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>50954.746546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Houston</td>\n",
       "      <td>48441.492162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Dallas</td>\n",
       "      <td>48382.154229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>South Padre Island</td>\n",
       "      <td>45558.680556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Galveston</td>\n",
       "      <td>42601.643940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Collin County</td>\n",
       "      <td>40605.636546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Irving</td>\n",
       "      <td>38579.178261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Denton County</td>\n",
       "      <td>32436.248973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Kerrville</td>\n",
       "      <td>32383.915441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fort Bend</td>\n",
       "      <td>31878.889385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>San Antonio</td>\n",
       "      <td>30105.893776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bay Area</td>\n",
       "      <td>28343.798484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Midland</td>\n",
       "      <td>24830.008264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Lubbock</td>\n",
       "      <td>24654.635389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Tyler</td>\n",
       "      <td>23778.615063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fort Worth</td>\n",
       "      <td>23774.402203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Corpus Christi</td>\n",
       "      <td>20900.816594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Sherman-Denison</td>\n",
       "      <td>20734.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Harlingen</td>\n",
       "      <td>19873.892229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>McAllen</td>\n",
       "      <td>19819.050847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>El Paso</td>\n",
       "      <td>19623.658052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Brownsville</td>\n",
       "      <td>19501.621795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bryan-College Station</td>\n",
       "      <td>18700.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Temple-Belton</td>\n",
       "      <td>18698.969072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Amarillo</td>\n",
       "      <td>18365.751098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Beaumont</td>\n",
       "      <td>17935.897436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arlington</td>\n",
       "      <td>17769.322043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>16125.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Texarkana</td>\n",
       "      <td>16109.761296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Longview-Marshall</td>\n",
       "      <td>16074.615023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Waco</td>\n",
       "      <td>15943.305310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Lufkin</td>\n",
       "      <td>15217.435897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Laredo</td>\n",
       "      <td>15041.234428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Brazoria County</td>\n",
       "      <td>14833.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Victoria</td>\n",
       "      <td>14812.244898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Odessa</td>\n",
       "      <td>14800.755272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>San Angelo</td>\n",
       "      <td>14586.196970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Wichita Falls</td>\n",
       "      <td>14318.897638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Paris</td>\n",
       "      <td>14145.939236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Port Arthur</td>\n",
       "      <td>13641.095890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Nacogdoches</td>\n",
       "      <td>13175.563725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>12080.496020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Garland</td>\n",
       "      <td>11877.349360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Killeen-Fort Hood</td>\n",
       "      <td>8302.205882</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     city     price_dif\n",
       "30      NE Tarrant County  54831.197671\n",
       "3                  Austin  53948.254266\n",
       "29      Montgomery County  50954.746546\n",
       "19                Houston  48441.492162\n",
       "11                 Dallas  48382.154229\n",
       "39     South Padre Island  45558.680556\n",
       "16              Galveston  42601.643940\n",
       "9           Collin County  40605.636546\n",
       "20                 Irving  38579.178261\n",
       "12          Denton County  32436.248973\n",
       "21              Kerrville  32383.915441\n",
       "14              Fort Bend  31878.889385\n",
       "36            San Antonio  30105.893776\n",
       "4                Bay Area  28343.798484\n",
       "28                Midland  24830.008264\n",
       "25                Lubbock  24654.635389\n",
       "42                  Tyler  23778.615063\n",
       "15             Fort Worth  23774.402203\n",
       "10         Corpus Christi  20900.816594\n",
       "38        Sherman-Denison  20734.500000\n",
       "18              Harlingen  19873.892229\n",
       "27                McAllen  19819.050847\n",
       "13                El Paso  19623.658052\n",
       "7             Brownsville  19501.621795\n",
       "8   Bryan-College Station  18700.000000\n",
       "40          Temple-Belton  18698.969072\n",
       "1                Amarillo  18365.751098\n",
       "5                Beaumont  17935.897436\n",
       "2               Arlington  17769.322043\n",
       "37             San Marcos  16125.000000\n",
       "41              Texarkana  16109.761296\n",
       "24      Longview-Marshall  16074.615023\n",
       "44                   Waco  15943.305310\n",
       "26                 Lufkin  15217.435897\n",
       "23                 Laredo  15041.234428\n",
       "6         Brazoria County  14833.333333\n",
       "43               Victoria  14812.244898\n",
       "32                 Odessa  14800.755272\n",
       "35             San Angelo  14586.196970\n",
       "45          Wichita Falls  14318.897638\n",
       "33                  Paris  14145.939236\n",
       "34            Port Arthur  13641.095890\n",
       "31            Nacogdoches  13175.563725\n",
       "0                 Abilene  12080.496020\n",
       "17                Garland  11877.349360\n",
       "22      Killeen-Fort Hood   8302.205882"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# median of 'price_dif' for each city\n",
    "median_pricediff = data_2.groupby('city')['price_dif'].median().reset_index()\n",
    "\n",
    "# Sorting in descending order 'med_price_dif'\n",
    "median_pricediff = median_pricediff.sort_values(by='price_dif', ascending=False)\n",
    "\n",
    "median_pricediff\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b6d5b364-81ae-4a8d-8abc-38a367f92f64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>year</th>\n",
       "      <th>mean_monthly_sales</th>\n",
       "      <th>median_median_price</th>\n",
       "      <th>median_mean_price</th>\n",
       "      <th>median_price_dif</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2000</td>\n",
       "      <td>114.583333</td>\n",
       "      <td>67100.0</td>\n",
       "      <td>77003.191489</td>\n",
       "      <td>9173.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2001</td>\n",
       "      <td>119.250000</td>\n",
       "      <td>70050.0</td>\n",
       "      <td>77910.655156</td>\n",
       "      <td>8571.458838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2002</td>\n",
       "      <td>126.333333</td>\n",
       "      <td>67100.0</td>\n",
       "      <td>77546.572692</td>\n",
       "      <td>9336.420526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2003</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>71850.0</td>\n",
       "      <td>82116.443068</td>\n",
       "      <td>11069.436620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>2004</td>\n",
       "      <td>152.500000</td>\n",
       "      <td>73200.0</td>\n",
       "      <td>85722.448727</td>\n",
       "      <td>12066.374719</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      city  year  mean_monthly_sales  median_median_price  median_mean_price  \\\n",
       "0  Abilene  2000          114.583333              67100.0       77003.191489   \n",
       "1  Abilene  2001          119.250000              70050.0       77910.655156   \n",
       "2  Abilene  2002          126.333333              67100.0       77546.572692   \n",
       "3  Abilene  2003          136.000000              71850.0       82116.443068   \n",
       "4  Abilene  2004          152.500000              73200.0       85722.448727   \n",
       "\n",
       "   median_price_dif  \n",
       "0       9173.076923  \n",
       "1       8571.458838  \n",
       "2       9336.420526  \n",
       "3      11069.436620  \n",
       "4      12066.374719  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_data = txh.groupby(['city', 'year'])\n",
    "mean_monthly_sales = grouped_data['sales'].mean()\n",
    "median_median_price = grouped_data['median'].median()\n",
    "median_mean_price = grouped_data['mean_price'].median()\n",
    "median_price_dif = grouped_data['price_dif'].median()\n",
    "\n",
    "result_df = pd.DataFrame({\n",
    "    'mean_monthly_sales': mean_monthly_sales,\n",
    "    'median_median_price': median_median_price,\n",
    "    'median_mean_price': median_mean_price,\n",
    "    'median_price_dif': median_price_dif\n",
    "}).reset_index()\n",
    "result_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e03ad4e7-cc40-4cdb-b0f4-055f42c19ce0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x1200 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "grouped_data = result_df.groupby(['year', 'city'])['mean_monthly_sales'].mean().unstack()\n",
    "plt.figure(figsize=(12, 12))\n",
    "#line plot with a different color line for each city\n",
    "grouped_data.plot(marker='o')\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Average Monthly Sales')\n",
    "plt.title('Average Monthly Sales per Year for Each City')\n",
    "\n",
    "plt.legend(title='City', labels=grouped_data.columns, loc='upper right')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "334b8c97-8d40-4c73-9ec2-e68a9da86d05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "plt.figure(figsize=(14, 6))  # Set the figure size\n",
    "sns.boxplot(x='city', y='price_dif', data=median_pricediff)\n",
    "\n",
    "plt.xlabel('City')\n",
    "plt.ylabel('Median Price Difference (price_dif)')\n",
    "plt.title('Boxplots of Median Price Difference per City')\n",
    "\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "371674b8-d7c1-42af-8473-7b96dadb5a19",
   "metadata": {},
   "outputs": [],
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}