houses_sale.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import pandas as pd\n",
    "import pandas as pd\n",
    "\n",
    "# Import matplotlib as plt\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "import seaborn as sns\n",
    "from colorama import Fore, Back, Style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Solarize_Light2',\n",
       " '_classic_test_patch',\n",
       " '_mpl-gallery',\n",
       " '_mpl-gallery-nogrid',\n",
       " 'bmh',\n",
       " 'classic',\n",
       " 'dark_background',\n",
       " 'fast',\n",
       " 'fivethirtyeight',\n",
       " 'ggplot',\n",
       " 'grayscale',\n",
       " 'seaborn-v0_8',\n",
       " 'seaborn-v0_8-bright',\n",
       " 'seaborn-v0_8-colorblind',\n",
       " 'seaborn-v0_8-dark',\n",
       " 'seaborn-v0_8-dark-palette',\n",
       " 'seaborn-v0_8-darkgrid',\n",
       " 'seaborn-v0_8-deep',\n",
       " 'seaborn-v0_8-muted',\n",
       " 'seaborn-v0_8-notebook',\n",
       " 'seaborn-v0_8-paper',\n",
       " 'seaborn-v0_8-pastel',\n",
       " 'seaborn-v0_8-poster',\n",
       " 'seaborn-v0_8-talk',\n",
       " 'seaborn-v0_8-ticks',\n",
       " 'seaborn-v0_8-white',\n",
       " 'seaborn-v0_8-whitegrid',\n",
       " 'tableau-colorblind10']"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load sales data from a CSV file into a pandas DataFrame and contains a \"date\" column with dates that should be parsed.\n",
    "sales = pd.read_csv(r'C:\\Users\\YaqoobDavid\\OneDrive - WOW Tech Europe GmbH\\Desktop\\house_analysis\\house_sale_analysis\\kc_house_data.csv', parse_dates=(['date']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mChecking Dataframe Head:\u001b[0m\n",
      "\u001b[1m---------------------\u001b[0m\n"
     ]
    },
    {
     "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7129300520</td>\n",
       "      <td>2014-10-13</td>\n",
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       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
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       "      <td>1180</td>\n",
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       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
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       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6414100192</td>\n",
       "      <td>2014-12-09</td>\n",
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       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
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       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>2015-02-25</td>\n",
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       "      <td>2</td>\n",
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       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>2014-12-09</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
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       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954400510</td>\n",
       "      <td>2015-02-18</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id       date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "0  7129300520 2014-10-13  221900.0         3       1.00         1180   \n",
       "1  6414100192 2014-12-09  538000.0         3       2.25         2570   \n",
       "2  5631500400 2015-02-25  180000.0         2       1.00          770   \n",
       "3  2487200875 2014-12-09  604000.0         4       3.00         1960   \n",
       "4  1954400510 2015-02-18  510000.0         3       2.00         1680   \n",
       "\n",
       "   sqft_lot  floors  waterfront  view  ...  grade  sqft_above  sqft_basement  \\\n",
       "0      5650     1.0           0     0  ...      7        1180              0   \n",
       "1      7242     2.0           0     0  ...      7        2170            400   \n",
       "2     10000     1.0           0     0  ...      6         770              0   \n",
       "3      5000     1.0           0     0  ...      7        1050            910   \n",
       "4      8080     1.0           0     0  ...      8        1680              0   \n",
       "\n",
       "   yr_built  yr_renovated  zipcode      lat     long  sqft_living15  \\\n",
       "0      1955             0    98178  47.5112 -122.257           1340   \n",
       "1      1951          1991    98125  47.7210 -122.319           1690   \n",
       "2      1933             0    98028  47.7379 -122.233           2720   \n",
       "3      1965             0    98136  47.5208 -122.393           1360   \n",
       "4      1987             0    98074  47.6168 -122.045           1800   \n",
       "\n",
       "   sqft_lot15  \n",
       "0        5650  \n",
       "1        7639  \n",
       "2        8062  \n",
       "3        5000  \n",
       "4        7503  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display the first two rows of the sales DataFrame\n",
    "print(Style.BRIGHT+ 'Checking Dataframe Head:' + Style.RESET_ALL)\n",
    "print(Style.BRIGHT+ '---------------------' + Style.RESET_ALL)\n",
    "sales.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDataframe Columns:\u001b[0m\n",
      "\u001b[1m---------------------\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Index(['id', 'date', 'price', 'bedrooms', 'bathrooms', 'sqft_living',\n",
       "       'sqft_lot', 'floors', 'waterfront', 'view', 'condition', 'grade',\n",
       "       'sqft_above', 'sqft_basement', 'yr_built', 'yr_renovated', 'zipcode',\n",
       "       'lat', 'long', 'sqft_living15', 'sqft_lot15'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(Style.BRIGHT+ 'Dataframe Columns:' + Style.RESET_ALL)\n",
    "print(Style.BRIGHT+ '---------------------' + Style.RESET_ALL)\n",
    "sales.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mChecking Dataframe Tail:\u001b[0m\n",
      "\u001b[1m---------------------\u001b[0m\n"
     ]
    },
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       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21608</th>\n",
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       "      <td>2009</td>\n",
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       "    <tr>\n",
       "      <th>21609</th>\n",
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       "      <td>2015-02-23</td>\n",
       "      <td>400000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2310</td>\n",
       "      <td>5813</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>2310</td>\n",
       "      <td>0</td>\n",
       "      <td>2014</td>\n",
       "      <td>0</td>\n",
       "      <td>98146</td>\n",
       "      <td>47.5107</td>\n",
       "      <td>-122.362</td>\n",
       "      <td>1830</td>\n",
       "      <td>7200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21610</th>\n",
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       "      <td>2014-06-23</td>\n",
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       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1020</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>0</td>\n",
       "      <td>98144</td>\n",
       "      <td>47.5944</td>\n",
       "      <td>-122.299</td>\n",
       "      <td>1020</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21611</th>\n",
       "      <td>291310100</td>\n",
       "      <td>2015-01-16</td>\n",
       "      <td>400000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.50</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>2004</td>\n",
       "      <td>0</td>\n",
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       "      <td>-122.069</td>\n",
       "      <td>1410</td>\n",
       "      <td>1287</td>\n",
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       "    <tr>\n",
       "      <th>21612</th>\n",
       "      <td>1523300157</td>\n",
       "      <td>2014-10-15</td>\n",
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       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1020</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1020</td>\n",
       "      <td>0</td>\n",
       "      <td>2008</td>\n",
       "      <td>0</td>\n",
       "      <td>98144</td>\n",
       "      <td>47.5941</td>\n",
       "      <td>-122.299</td>\n",
       "      <td>1020</td>\n",
       "      <td>1357</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id       date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "21608   263000018 2014-05-21  360000.0         3       2.50         1530   \n",
       "21609  6600060120 2015-02-23  400000.0         4       2.50         2310   \n",
       "21610  1523300141 2014-06-23  402101.0         2       0.75         1020   \n",
       "21611   291310100 2015-01-16  400000.0         3       2.50         1600   \n",
       "21612  1523300157 2014-10-15  325000.0         2       0.75         1020   \n",
       "\n",
       "       sqft_lot  floors  waterfront  view  ...  grade  sqft_above  \\\n",
       "21608      1131     3.0           0     0  ...      8        1530   \n",
       "21609      5813     2.0           0     0  ...      8        2310   \n",
       "21610      1350     2.0           0     0  ...      7        1020   \n",
       "21611      2388     2.0           0     0  ...      8        1600   \n",
       "21612      1076     2.0           0     0  ...      7        1020   \n",
       "\n",
       "       sqft_basement  yr_built  yr_renovated  zipcode      lat     long  \\\n",
       "21608              0      2009             0    98103  47.6993 -122.346   \n",
       "21609              0      2014             0    98146  47.5107 -122.362   \n",
       "21610              0      2009             0    98144  47.5944 -122.299   \n",
       "21611              0      2004             0    98027  47.5345 -122.069   \n",
       "21612              0      2008             0    98144  47.5941 -122.299   \n",
       "\n",
       "       sqft_living15  sqft_lot15  \n",
       "21608           1530        1509  \n",
       "21609           1830        7200  \n",
       "21610           1020        2007  \n",
       "21611           1410        1287  \n",
       "21612           1020        1357  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and uses the \"tail()\" function to display the last 5 rows of the DataFrame\n",
    "print(Style.BRIGHT+ 'Checking Dataframe Tail:' + Style.RESET_ALL)\n",
    "print(Style.BRIGHT+ '---------------------' + Style.RESET_ALL)\n",
    "sales.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mChecking Data Statistics:\u001b[0m\n",
      "\u001b[1m---------------------\u001b[0m\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.580302e+09</td>\n",
       "      <td>5.400881e+05</td>\n",
       "      <td>3.370842</td>\n",
       "      <td>2.114757</td>\n",
       "      <td>2079.899736</td>\n",
       "      <td>1.510697e+04</td>\n",
       "      <td>1.494309</td>\n",
       "      <td>0.007542</td>\n",
       "      <td>0.234303</td>\n",
       "      <td>3.409430</td>\n",
       "      <td>7.656873</td>\n",
       "      <td>1788.390691</td>\n",
       "      <td>291.509045</td>\n",
       "      <td>1971.005136</td>\n",
       "      <td>84.402258</td>\n",
       "      <td>98077.939805</td>\n",
       "      <td>47.560053</td>\n",
       "      <td>-122.213896</td>\n",
       "      <td>1986.552492</td>\n",
       "      <td>12768.455652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.876566e+09</td>\n",
       "      <td>3.671272e+05</td>\n",
       "      <td>0.930062</td>\n",
       "      <td>0.770163</td>\n",
       "      <td>918.440897</td>\n",
       "      <td>4.142051e+04</td>\n",
       "      <td>0.539989</td>\n",
       "      <td>0.086517</td>\n",
       "      <td>0.766318</td>\n",
       "      <td>0.650743</td>\n",
       "      <td>1.175459</td>\n",
       "      <td>828.090978</td>\n",
       "      <td>442.575043</td>\n",
       "      <td>29.373411</td>\n",
       "      <td>401.679240</td>\n",
       "      <td>53.505026</td>\n",
       "      <td>0.138564</td>\n",
       "      <td>0.140828</td>\n",
       "      <td>685.391304</td>\n",
       "      <td>27304.179631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000102e+06</td>\n",
       "      <td>7.500000e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>5.200000e+02</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98001.000000</td>\n",
       "      <td>47.155900</td>\n",
       "      <td>-122.519000</td>\n",
       "      <td>399.000000</td>\n",
       "      <td>651.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.123049e+09</td>\n",
       "      <td>3.219500e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1427.000000</td>\n",
       "      <td>5.040000e+03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1190.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1951.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98033.000000</td>\n",
       "      <td>47.471000</td>\n",
       "      <td>-122.328000</td>\n",
       "      <td>1490.000000</td>\n",
       "      <td>5100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.904930e+09</td>\n",
       "      <td>4.500000e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>1910.000000</td>\n",
       "      <td>7.618000e+03</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1560.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1975.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98065.000000</td>\n",
       "      <td>47.571800</td>\n",
       "      <td>-122.230000</td>\n",
       "      <td>1840.000000</td>\n",
       "      <td>7620.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.308900e+09</td>\n",
       "      <td>6.450000e+05</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2550.000000</td>\n",
       "      <td>1.068800e+04</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2210.000000</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98118.000000</td>\n",
       "      <td>47.678000</td>\n",
       "      <td>-122.125000</td>\n",
       "      <td>2360.000000</td>\n",
       "      <td>10083.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.900000e+09</td>\n",
       "      <td>7.700000e+06</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13540.000000</td>\n",
       "      <td>1.651359e+06</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>9410.000000</td>\n",
       "      <td>4820.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>98199.000000</td>\n",
       "      <td>47.777600</td>\n",
       "      <td>-121.315000</td>\n",
       "      <td>6210.000000</td>\n",
       "      <td>871200.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id         price      bedrooms     bathrooms   sqft_living  \\\n",
       "count  2.161300e+04  2.161300e+04  21613.000000  21613.000000  21613.000000   \n",
       "mean   4.580302e+09  5.400881e+05      3.370842      2.114757   2079.899736   \n",
       "std    2.876566e+09  3.671272e+05      0.930062      0.770163    918.440897   \n",
       "min    1.000102e+06  7.500000e+04      0.000000      0.000000    290.000000   \n",
       "25%    2.123049e+09  3.219500e+05      3.000000      1.750000   1427.000000   \n",
       "50%    3.904930e+09  4.500000e+05      3.000000      2.250000   1910.000000   \n",
       "75%    7.308900e+09  6.450000e+05      4.000000      2.500000   2550.000000   \n",
       "max    9.900000e+09  7.700000e+06     33.000000      8.000000  13540.000000   \n",
       "\n",
       "           sqft_lot        floors    waterfront          view     condition  \\\n",
       "count  2.161300e+04  21613.000000  21613.000000  21613.000000  21613.000000   \n",
       "mean   1.510697e+04      1.494309      0.007542      0.234303      3.409430   \n",
       "std    4.142051e+04      0.539989      0.086517      0.766318      0.650743   \n",
       "min    5.200000e+02      1.000000      0.000000      0.000000      1.000000   \n",
       "25%    5.040000e+03      1.000000      0.000000      0.000000      3.000000   \n",
       "50%    7.618000e+03      1.500000      0.000000      0.000000      3.000000   \n",
       "75%    1.068800e+04      2.000000      0.000000      0.000000      4.000000   \n",
       "max    1.651359e+06      3.500000      1.000000      4.000000      5.000000   \n",
       "\n",
       "              grade    sqft_above  sqft_basement      yr_built  yr_renovated  \\\n",
       "count  21613.000000  21613.000000   21613.000000  21613.000000  21613.000000   \n",
       "mean       7.656873   1788.390691     291.509045   1971.005136     84.402258   \n",
       "std        1.175459    828.090978     442.575043     29.373411    401.679240   \n",
       "min        1.000000    290.000000       0.000000   1900.000000      0.000000   \n",
       "25%        7.000000   1190.000000       0.000000   1951.000000      0.000000   \n",
       "50%        7.000000   1560.000000       0.000000   1975.000000      0.000000   \n",
       "75%        8.000000   2210.000000     560.000000   1997.000000      0.000000   \n",
       "max       13.000000   9410.000000    4820.000000   2015.000000   2015.000000   \n",
       "\n",
       "            zipcode           lat          long  sqft_living15     sqft_lot15  \n",
       "count  21613.000000  21613.000000  21613.000000   21613.000000   21613.000000  \n",
       "mean   98077.939805     47.560053   -122.213896    1986.552492   12768.455652  \n",
       "std       53.505026      0.138564      0.140828     685.391304   27304.179631  \n",
       "min    98001.000000     47.155900   -122.519000     399.000000     651.000000  \n",
       "25%    98033.000000     47.471000   -122.328000    1490.000000    5100.000000  \n",
       "50%    98065.000000     47.571800   -122.230000    1840.000000    7620.000000  \n",
       "75%    98118.000000     47.678000   -122.125000    2360.000000   10083.000000  \n",
       "max    98199.000000     47.777600   -121.315000    6210.000000  871200.000000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate descriptive statistics of the \"sales\" DataFrame\n",
    "print(Style.BRIGHT+ 'Checking Data Statistics:' + Style.RESET_ALL)\n",
    "print(Style.BRIGHT+ '---------------------' + Style.RESET_ALL)\n",
    "sales.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>4.580302e+09</td>\n",
       "      <td>2.876566e+09</td>\n",
       "      <td>1.000102e+06</td>\n",
       "      <td>2.123049e+09</td>\n",
       "      <td>3.904930e+09</td>\n",
       "      <td>7.308900e+09</td>\n",
       "      <td>9.900000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>5.400881e+05</td>\n",
       "      <td>3.671272e+05</td>\n",
       "      <td>7.500000e+04</td>\n",
       "      <td>3.219500e+05</td>\n",
       "      <td>4.500000e+05</td>\n",
       "      <td>6.450000e+05</td>\n",
       "      <td>7.700000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>3.370842e+00</td>\n",
       "      <td>9.300618e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>3.300000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>2.114757e+00</td>\n",
       "      <td>7.701632e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.750000e+00</td>\n",
       "      <td>2.250000e+00</td>\n",
       "      <td>2.500000e+00</td>\n",
       "      <td>8.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>2.079900e+03</td>\n",
       "      <td>9.184409e+02</td>\n",
       "      <td>2.900000e+02</td>\n",
       "      <td>1.427000e+03</td>\n",
       "      <td>1.910000e+03</td>\n",
       "      <td>2.550000e+03</td>\n",
       "      <td>1.354000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_lot</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>1.510697e+04</td>\n",
       "      <td>4.142051e+04</td>\n",
       "      <td>5.200000e+02</td>\n",
       "      <td>5.040000e+03</td>\n",
       "      <td>7.618000e+03</td>\n",
       "      <td>1.068800e+04</td>\n",
       "      <td>1.651359e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>floors</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>1.494309e+00</td>\n",
       "      <td>5.399889e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.500000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>3.500000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waterfront</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>7.541757e-03</td>\n",
       "      <td>8.651720e-02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>view</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>2.343034e-01</td>\n",
       "      <td>7.663176e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>condition</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>3.409430e+00</td>\n",
       "      <td>6.507430e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>5.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grade</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>7.656873e+00</td>\n",
       "      <td>1.175459e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>7.000000e+00</td>\n",
       "      <td>7.000000e+00</td>\n",
       "      <td>8.000000e+00</td>\n",
       "      <td>1.300000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_above</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>1.788391e+03</td>\n",
       "      <td>8.280910e+02</td>\n",
       "      <td>2.900000e+02</td>\n",
       "      <td>1.190000e+03</td>\n",
       "      <td>1.560000e+03</td>\n",
       "      <td>2.210000e+03</td>\n",
       "      <td>9.410000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_basement</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>2.915090e+02</td>\n",
       "      <td>4.425750e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.600000e+02</td>\n",
       "      <td>4.820000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr_built</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>1.971005e+03</td>\n",
       "      <td>2.937341e+01</td>\n",
       "      <td>1.900000e+03</td>\n",
       "      <td>1.951000e+03</td>\n",
       "      <td>1.975000e+03</td>\n",
       "      <td>1.997000e+03</td>\n",
       "      <td>2.015000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr_renovated</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>8.440226e+01</td>\n",
       "      <td>4.016792e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.015000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipcode</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>9.807794e+04</td>\n",
       "      <td>5.350503e+01</td>\n",
       "      <td>9.800100e+04</td>\n",
       "      <td>9.803300e+04</td>\n",
       "      <td>9.806500e+04</td>\n",
       "      <td>9.811800e+04</td>\n",
       "      <td>9.819900e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>4.756005e+01</td>\n",
       "      <td>1.385637e-01</td>\n",
       "      <td>4.715590e+01</td>\n",
       "      <td>4.747100e+01</td>\n",
       "      <td>4.757180e+01</td>\n",
       "      <td>4.767800e+01</td>\n",
       "      <td>4.777760e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>long</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>-1.222139e+02</td>\n",
       "      <td>1.408283e-01</td>\n",
       "      <td>-1.225190e+02</td>\n",
       "      <td>-1.223280e+02</td>\n",
       "      <td>-1.222300e+02</td>\n",
       "      <td>-1.221250e+02</td>\n",
       "      <td>-1.213150e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living15</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>1.986552e+03</td>\n",
       "      <td>6.853913e+02</td>\n",
       "      <td>3.990000e+02</td>\n",
       "      <td>1.490000e+03</td>\n",
       "      <td>1.840000e+03</td>\n",
       "      <td>2.360000e+03</td>\n",
       "      <td>6.210000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_lot15</th>\n",
       "      <td>21613.0</td>\n",
       "      <td>1.276846e+04</td>\n",
       "      <td>2.730418e+04</td>\n",
       "      <td>6.510000e+02</td>\n",
       "      <td>5.100000e+03</td>\n",
       "      <td>7.620000e+03</td>\n",
       "      <td>1.008300e+04</td>\n",
       "      <td>8.712000e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 count          mean           std           min  \\\n",
       "id             21613.0  4.580302e+09  2.876566e+09  1.000102e+06   \n",
       "price          21613.0  5.400881e+05  3.671272e+05  7.500000e+04   \n",
       "bedrooms       21613.0  3.370842e+00  9.300618e-01  0.000000e+00   \n",
       "bathrooms      21613.0  2.114757e+00  7.701632e-01  0.000000e+00   \n",
       "sqft_living    21613.0  2.079900e+03  9.184409e+02  2.900000e+02   \n",
       "sqft_lot       21613.0  1.510697e+04  4.142051e+04  5.200000e+02   \n",
       "floors         21613.0  1.494309e+00  5.399889e-01  1.000000e+00   \n",
       "waterfront     21613.0  7.541757e-03  8.651720e-02  0.000000e+00   \n",
       "view           21613.0  2.343034e-01  7.663176e-01  0.000000e+00   \n",
       "condition      21613.0  3.409430e+00  6.507430e-01  1.000000e+00   \n",
       "grade          21613.0  7.656873e+00  1.175459e+00  1.000000e+00   \n",
       "sqft_above     21613.0  1.788391e+03  8.280910e+02  2.900000e+02   \n",
       "sqft_basement  21613.0  2.915090e+02  4.425750e+02  0.000000e+00   \n",
       "yr_built       21613.0  1.971005e+03  2.937341e+01  1.900000e+03   \n",
       "yr_renovated   21613.0  8.440226e+01  4.016792e+02  0.000000e+00   \n",
       "zipcode        21613.0  9.807794e+04  5.350503e+01  9.800100e+04   \n",
       "lat            21613.0  4.756005e+01  1.385637e-01  4.715590e+01   \n",
       "long           21613.0 -1.222139e+02  1.408283e-01 -1.225190e+02   \n",
       "sqft_living15  21613.0  1.986552e+03  6.853913e+02  3.990000e+02   \n",
       "sqft_lot15     21613.0  1.276846e+04  2.730418e+04  6.510000e+02   \n",
       "\n",
       "                        25%           50%           75%           max  \n",
       "id             2.123049e+09  3.904930e+09  7.308900e+09  9.900000e+09  \n",
       "price          3.219500e+05  4.500000e+05  6.450000e+05  7.700000e+06  \n",
       "bedrooms       3.000000e+00  3.000000e+00  4.000000e+00  3.300000e+01  \n",
       "bathrooms      1.750000e+00  2.250000e+00  2.500000e+00  8.000000e+00  \n",
       "sqft_living    1.427000e+03  1.910000e+03  2.550000e+03  1.354000e+04  \n",
       "sqft_lot       5.040000e+03  7.618000e+03  1.068800e+04  1.651359e+06  \n",
       "floors         1.000000e+00  1.500000e+00  2.000000e+00  3.500000e+00  \n",
       "waterfront     0.000000e+00  0.000000e+00  0.000000e+00  1.000000e+00  \n",
       "view           0.000000e+00  0.000000e+00  0.000000e+00  4.000000e+00  \n",
       "condition      3.000000e+00  3.000000e+00  4.000000e+00  5.000000e+00  \n",
       "grade          7.000000e+00  7.000000e+00  8.000000e+00  1.300000e+01  \n",
       "sqft_above     1.190000e+03  1.560000e+03  2.210000e+03  9.410000e+03  \n",
       "sqft_basement  0.000000e+00  0.000000e+00  5.600000e+02  4.820000e+03  \n",
       "yr_built       1.951000e+03  1.975000e+03  1.997000e+03  2.015000e+03  \n",
       "yr_renovated   0.000000e+00  0.000000e+00  0.000000e+00  2.015000e+03  \n",
       "zipcode        9.803300e+04  9.806500e+04  9.811800e+04  9.819900e+04  \n",
       "lat            4.747100e+01  4.757180e+01  4.767800e+01  4.777760e+01  \n",
       "long          -1.223280e+02 -1.222300e+02 -1.221250e+02 -1.213150e+02  \n",
       "sqft_living15  1.490000e+03  1.840000e+03  2.360000e+03  6.210000e+03  \n",
       "sqft_lot15     5.100000e+03  7.620000e+03  1.008300e+04  8.712000e+05  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate transposed descriptive statistics of the \"sales\" DataFrame It then transposes the resulting DataFrame using the \"T\" attribute\n",
    "sales.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDataframe Information:\u001b[0m\n",
      "\u001b[1m---------------------\u001b[0m\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 21613 entries, 0 to 21612\n",
      "Data columns (total 21 columns):\n",
      " #   Column         Non-Null Count  Dtype         \n",
      "---  ------         --------------  -----         \n",
      " 0   id             21613 non-null  int64         \n",
      " 1   date           21613 non-null  datetime64[ns]\n",
      " 2   price          21613 non-null  float64       \n",
      " 3   bedrooms       21613 non-null  int64         \n",
      " 4   bathrooms      21613 non-null  float64       \n",
      " 5   sqft_living    21613 non-null  int64         \n",
      " 6   sqft_lot       21613 non-null  int64         \n",
      " 7   floors         21613 non-null  float64       \n",
      " 8   waterfront     21613 non-null  int64         \n",
      " 9   view           21613 non-null  int64         \n",
      " 10  condition      21613 non-null  int64         \n",
      " 11  grade          21613 non-null  int64         \n",
      " 12  sqft_above     21613 non-null  int64         \n",
      " 13  sqft_basement  21613 non-null  int64         \n",
      " 14  yr_built       21613 non-null  int64         \n",
      " 15  yr_renovated   21613 non-null  int64         \n",
      " 16  zipcode        21613 non-null  int64         \n",
      " 17  lat            21613 non-null  float64       \n",
      " 18  long           21613 non-null  float64       \n",
      " 19  sqft_living15  21613 non-null  int64         \n",
      " 20  sqft_lot15     21613 non-null  int64         \n",
      "dtypes: datetime64[ns](1), float64(5), int64(15)\n",
      "memory usage: 3.5 MB\n"
     ]
    }
   ],
   "source": [
    "print(Style.BRIGHT+ 'Dataframe Information:' + Style.RESET_ALL)\n",
    "print(Style.BRIGHT+ '---------------------' + Style.RESET_ALL)\n",
    "sales.info()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the overall distribution of house prices?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create histogram of house prices\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.hist(sales['price'], bins=50)\n",
    "plt.xlabel('House Price')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\YaqoobDavid\\AppData\\Local\\Temp\\ipykernel_21944\\2572351944.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(sales['price']);\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the distribution of sale prices using seaborn's distplot function\n",
    "plt.style.use('seaborn-v0_8')\n",
    "sns.distplot(sales['price']);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How many days does the dataset span for?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "390"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the time span between the first and last sale dates\n",
    "# and uses the \"max()\" and \"min()\" functions to retrieve the latest and earliest dates,\n",
    "# and subtracts them to get the time span between them\n",
    "\n",
    "time_span = sales.date.max()-sales.date.min()\n",
    "time_span.days"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What are the dates that had the most sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2014-06-23    142\n",
       "2014-06-26    131\n",
       "2014-06-25    131\n",
       "2014-07-08    127\n",
       "2015-04-27    126\n",
       "             ... \n",
       "2014-11-02      1\n",
       "2015-01-31      1\n",
       "2015-05-24      1\n",
       "2014-05-17      1\n",
       "2014-07-27      1\n",
       "Name: date, Length: 372, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count the number of sales for each date\n",
    "sales.date.value_counts()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which homes were sold on '2014-06-23'?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>4060000240</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>205425.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>880</td>\n",
       "      <td>6780</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>880</td>\n",
       "      <td>0</td>\n",
       "      <td>1945</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5009</td>\n",
       "      <td>-122.248</td>\n",
       "      <td>1190</td>\n",
       "      <td>6780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>5175800060</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>365000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1940</td>\n",
       "      <td>25600</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1940</td>\n",
       "      <td>0</td>\n",
       "      <td>1962</td>\n",
       "      <td>0</td>\n",
       "      <td>98006</td>\n",
       "      <td>47.5722</td>\n",
       "      <td>-122.129</td>\n",
       "      <td>2000</td>\n",
       "      <td>10071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>2172000075</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>290900.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1610</td>\n",
       "      <td>17600</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>1610</td>\n",
       "      <td>0</td>\n",
       "      <td>1930</td>\n",
       "      <td>1983</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.4855</td>\n",
       "      <td>-122.266</td>\n",
       "      <td>1310</td>\n",
       "      <td>12950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>3010300240</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>577000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2060</td>\n",
       "      <td>5750</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1330</td>\n",
       "      <td>730</td>\n",
       "      <td>1976</td>\n",
       "      <td>0</td>\n",
       "      <td>98116</td>\n",
       "      <td>47.5671</td>\n",
       "      <td>-122.391</td>\n",
       "      <td>1920</td>\n",
       "      <td>5750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>7846700310</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>280000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1010</td>\n",
       "      <td>3000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1010</td>\n",
       "      <td>0</td>\n",
       "      <td>1925</td>\n",
       "      <td>0</td>\n",
       "      <td>98045</td>\n",
       "      <td>47.4965</td>\n",
       "      <td>-121.785</td>\n",
       "      <td>1150</td>\n",
       "      <td>7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21230</th>\n",
       "      <td>3629990280</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>497000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>1630</td>\n",
       "      <td>3817</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1630</td>\n",
       "      <td>0</td>\n",
       "      <td>2005</td>\n",
       "      <td>0</td>\n",
       "      <td>98029</td>\n",
       "      <td>47.5485</td>\n",
       "      <td>-121.999</td>\n",
       "      <td>1630</td>\n",
       "      <td>3348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21479</th>\n",
       "      <td>6181500120</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>312891.0</td>\n",
       "      <td>5</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2300</td>\n",
       "      <td>8214</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>2300</td>\n",
       "      <td>0</td>\n",
       "      <td>2013</td>\n",
       "      <td>0</td>\n",
       "      <td>98001</td>\n",
       "      <td>47.3052</td>\n",
       "      <td>-122.276</td>\n",
       "      <td>2594</td>\n",
       "      <td>4950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21529</th>\n",
       "      <td>2487200490</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>670000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3310</td>\n",
       "      <td>5300</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>2440</td>\n",
       "      <td>870</td>\n",
       "      <td>2008</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5178</td>\n",
       "      <td>-122.389</td>\n",
       "      <td>2140</td>\n",
       "      <td>7500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21578</th>\n",
       "      <td>567000385</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>362500.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.50</td>\n",
       "      <td>940</td>\n",
       "      <td>1768</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>940</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>0</td>\n",
       "      <td>98144</td>\n",
       "      <td>47.5925</td>\n",
       "      <td>-122.295</td>\n",
       "      <td>1130</td>\n",
       "      <td>1159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21610</th>\n",
       "      <td>1523300141</td>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>402101.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1020</td>\n",
       "      <td>1350</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1020</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>0</td>\n",
       "      <td>98144</td>\n",
       "      <td>47.5944</td>\n",
       "      <td>-122.299</td>\n",
       "      <td>1020</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>142 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id       date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "117    4060000240 2014-06-23  205425.0         2       1.00          880   \n",
       "397    5175800060 2014-06-23  365000.0         4       2.00         1940   \n",
       "470    2172000075 2014-06-23  290900.0         2       2.00         1610   \n",
       "621    3010300240 2014-06-23  577000.0         3       2.50         2060   \n",
       "676    7846700310 2014-06-23  280000.0         2       1.00         1010   \n",
       "...           ...        ...       ...       ...        ...          ...   \n",
       "21230  3629990280 2014-06-23  497000.0         3       2.25         1630   \n",
       "21479  6181500120 2014-06-23  312891.0         5       3.00         2300   \n",
       "21529  2487200490 2014-06-23  670000.0         3       2.50         3310   \n",
       "21578   567000385 2014-06-23  362500.0         2       1.50          940   \n",
       "21610  1523300141 2014-06-23  402101.0         2       0.75         1020   \n",
       "\n",
       "       sqft_lot  floors  waterfront  view  ...  grade  sqft_above  \\\n",
       "117        6780     1.0           0     0  ...      6         880   \n",
       "397       25600     1.0           0     0  ...      8        1940   \n",
       "470       17600     2.0           0     0  ...      6        1610   \n",
       "621        5750     1.0           0     0  ...      7        1330   \n",
       "676        3000     1.0           0     0  ...      7        1010   \n",
       "...         ...     ...         ...   ...  ...    ...         ...   \n",
       "21230      3817     2.0           0     0  ...      7        1630   \n",
       "21479      8214     2.0           0     0  ...      8        2300   \n",
       "21529      5300     2.0           0     2  ...      8        2440   \n",
       "21578      1768     2.0           0     0  ...      7         940   \n",
       "21610      1350     2.0           0     0  ...      7        1020   \n",
       "\n",
       "       sqft_basement  yr_built  yr_renovated  zipcode      lat     long  \\\n",
       "117                0      1945             0    98178  47.5009 -122.248   \n",
       "397                0      1962             0    98006  47.5722 -122.129   \n",
       "470                0      1930          1983    98178  47.4855 -122.266   \n",
       "621              730      1976             0    98116  47.5671 -122.391   \n",
       "676                0      1925             0    98045  47.4965 -121.785   \n",
       "...              ...       ...           ...      ...      ...      ...   \n",
       "21230              0      2005             0    98029  47.5485 -121.999   \n",
       "21479              0      2013             0    98001  47.3052 -122.276   \n",
       "21529            870      2008             0    98136  47.5178 -122.389   \n",
       "21578              0      2009             0    98144  47.5925 -122.295   \n",
       "21610              0      2009             0    98144  47.5944 -122.299   \n",
       "\n",
       "       sqft_living15  sqft_lot15  \n",
       "117             1190        6780  \n",
       "397             2000       10071  \n",
       "470             1310       12950  \n",
       "621             1920        5750  \n",
       "676             1150        7000  \n",
       "...              ...         ...  \n",
       "21230           1630        3348  \n",
       "21479           2594        4950  \n",
       "21529           2140        7500  \n",
       "21578           1130        1159  \n",
       "21610           1020        2007  \n",
       "\n",
       "[142 rows x 21 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the date with the most sales\n",
    "top_date = sales.date.mode()[0]\n",
    "\n",
    "# Retrieve all sales data for the top date\n",
    "# and selects all rows where the \"date\" column matches the top_date value\n",
    "sales[sales.date == top_date]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Solarize_Light2',\n",
       " '_classic_test_patch',\n",
       " '_mpl-gallery',\n",
       " '_mpl-gallery-nogrid',\n",
       " 'bmh',\n",
       " 'classic',\n",
       " 'dark_background',\n",
       " 'fast',\n",
       " 'fivethirtyeight',\n",
       " 'ggplot',\n",
       " 'grayscale',\n",
       " 'seaborn-v0_8',\n",
       " 'seaborn-v0_8-bright',\n",
       " 'seaborn-v0_8-colorblind',\n",
       " 'seaborn-v0_8-dark',\n",
       " 'seaborn-v0_8-dark-palette',\n",
       " 'seaborn-v0_8-darkgrid',\n",
       " 'seaborn-v0_8-deep',\n",
       " 'seaborn-v0_8-muted',\n",
       " 'seaborn-v0_8-notebook',\n",
       " 'seaborn-v0_8-paper',\n",
       " 'seaborn-v0_8-pastel',\n",
       " 'seaborn-v0_8-poster',\n",
       " 'seaborn-v0_8-talk',\n",
       " 'seaborn-v0_8-ticks',\n",
       " 'seaborn-v0_8-white',\n",
       " 'seaborn-v0_8-whitegrid',\n",
       " 'tableau-colorblind10']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.style.available"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What are the years in which home sales took place in 2014 and 2015?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Sales')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count the number of sales for each year and create a bar chart\n",
    "plt.style.use('seaborn-v0_8')\n",
    "sales['date'].dt.year.value_counts().plot(kind='bar')\n",
    "\n",
    "# Set the chart title\n",
    "plt.title('Number of Sales by Year')\n",
    "\n",
    "# Set the x-axis label\n",
    "plt.xlabel('Year')\n",
    "\n",
    "# Set the y-axis label\n",
    "plt.ylabel('Number of Sales')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What are all the homes sold in 2014 sorted from earliest to latest?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11907</th>\n",
       "      <td>3221059036</td>\n",
       "      <td>2014-05-02</td>\n",
       "      <td>400000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3630</td>\n",
       "      <td>42884</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>2300</td>\n",
       "      <td>1330</td>\n",
       "      <td>1979</td>\n",
       "      <td>0</td>\n",
       "      <td>98092</td>\n",
       "      <td>47.2617</td>\n",
       "      <td>-122.190</td>\n",
       "      <td>2830</td>\n",
       "      <td>80148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20559</th>\n",
       "      <td>3438501320</td>\n",
       "      <td>2014-05-02</td>\n",
       "      <td>295000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2.50</td>\n",
       "      <td>1630</td>\n",
       "      <td>1368</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1280</td>\n",
       "      <td>350</td>\n",
       "      <td>2009</td>\n",
       "      <td>0</td>\n",
       "      <td>98106</td>\n",
       "      <td>47.5489</td>\n",
       "      <td>-122.363</td>\n",
       "      <td>1590</td>\n",
       "      <td>2306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17038</th>\n",
       "      <td>2326059099</td>\n",
       "      <td>2014-05-02</td>\n",
       "      <td>838000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3310</td>\n",
       "      <td>42998</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>3310</td>\n",
       "      <td>0</td>\n",
       "      <td>2001</td>\n",
       "      <td>0</td>\n",
       "      <td>98052</td>\n",
       "      <td>47.7232</td>\n",
       "      <td>-122.131</td>\n",
       "      <td>3350</td>\n",
       "      <td>42847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15921</th>\n",
       "      <td>7831800460</td>\n",
       "      <td>2014-05-02</td>\n",
       "      <td>235000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1210</td>\n",
       "      <td>9400</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>1210</td>\n",
       "      <td>0</td>\n",
       "      <td>1949</td>\n",
       "      <td>0</td>\n",
       "      <td>98106</td>\n",
       "      <td>47.5342</td>\n",
       "      <td>-122.360</td>\n",
       "      <td>1580</td>\n",
       "      <td>6026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11891</th>\n",
       "      <td>7305300695</td>\n",
       "      <td>2014-05-02</td>\n",
       "      <td>625000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2820</td>\n",
       "      <td>8408</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>2820</td>\n",
       "      <td>0</td>\n",
       "      <td>2014</td>\n",
       "      <td>0</td>\n",
       "      <td>98155</td>\n",
       "      <td>47.7538</td>\n",
       "      <td>-122.325</td>\n",
       "      <td>1300</td>\n",
       "      <td>8408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1692</th>\n",
       "      <td>7701990700</td>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>825000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3210</td>\n",
       "      <td>18901</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>3210</td>\n",
       "      <td>0</td>\n",
       "      <td>1993</td>\n",
       "      <td>0</td>\n",
       "      <td>98077</td>\n",
       "      <td>47.7090</td>\n",
       "      <td>-122.073</td>\n",
       "      <td>3330</td>\n",
       "      <td>18901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8393</th>\n",
       "      <td>2493200215</td>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>582000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1820</td>\n",
       "      <td>3140</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1820</td>\n",
       "      <td>0</td>\n",
       "      <td>1949</td>\n",
       "      <td>1990</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5271</td>\n",
       "      <td>-122.384</td>\n",
       "      <td>2030</td>\n",
       "      <td>5499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18462</th>\n",
       "      <td>7345200650</td>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>219200.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>7000</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1968</td>\n",
       "      <td>0</td>\n",
       "      <td>98002</td>\n",
       "      <td>47.2775</td>\n",
       "      <td>-122.203</td>\n",
       "      <td>1540</td>\n",
       "      <td>7480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9850</th>\n",
       "      <td>8861000060</td>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>875000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1160</td>\n",
       "      <td>10732</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1160</td>\n",
       "      <td>0</td>\n",
       "      <td>1953</td>\n",
       "      <td>0</td>\n",
       "      <td>98004</td>\n",
       "      <td>47.6391</td>\n",
       "      <td>-122.205</td>\n",
       "      <td>2390</td>\n",
       "      <td>13656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18433</th>\n",
       "      <td>1545801340</td>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>261000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1350</td>\n",
       "      <td>7686</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1350</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98038</td>\n",
       "      <td>47.3617</td>\n",
       "      <td>-122.052</td>\n",
       "      <td>1370</td>\n",
       "      <td>7686</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14633 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id       date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "11907  3221059036 2014-05-02  400000.0         4       2.50         3630   \n",
       "20559  3438501320 2014-05-02  295000.0         2       2.50         1630   \n",
       "17038  2326059099 2014-05-02  838000.0         4       2.50         3310   \n",
       "15921  7831800460 2014-05-02  235000.0         2       1.00         1210   \n",
       "11891  7305300695 2014-05-02  625000.0         4       2.50         2820   \n",
       "...           ...        ...       ...       ...        ...          ...   \n",
       "1692   7701990700 2014-12-31  825000.0         4       2.50         3210   \n",
       "8393   2493200215 2014-12-31  582000.0         3       1.75         1820   \n",
       "18462  7345200650 2014-12-31  219200.0         3       2.00         1680   \n",
       "9850   8861000060 2014-12-31  875000.0         3       1.00         1160   \n",
       "18433  1545801340 2014-12-31  261000.0         3       1.75         1350   \n",
       "\n",
       "       sqft_lot  floors  waterfront  view  ...  grade  sqft_above  \\\n",
       "11907     42884     1.5           0     0  ...      9        2300   \n",
       "20559      1368     2.0           0     0  ...      7        1280   \n",
       "17038     42998     2.0           0     0  ...      9        3310   \n",
       "15921      9400     1.0           0     0  ...      6        1210   \n",
       "11891      8408     2.0           0     0  ...      9        2820   \n",
       "...         ...     ...         ...   ...  ...    ...         ...   \n",
       "1692      18901     2.0           0     0  ...     10        3210   \n",
       "8393       3140     2.0           0     0  ...      8        1820   \n",
       "18462      7000     1.5           0     0  ...      7        1680   \n",
       "9850      10732     1.0           0     0  ...      7        1160   \n",
       "18433      7686     1.0           0     0  ...      7        1350   \n",
       "\n",
       "       sqft_basement  yr_built  yr_renovated  zipcode      lat     long  \\\n",
       "11907           1330      1979             0    98092  47.2617 -122.190   \n",
       "20559            350      2009             0    98106  47.5489 -122.363   \n",
       "17038              0      2001             0    98052  47.7232 -122.131   \n",
       "15921              0      1949             0    98106  47.5342 -122.360   \n",
       "11891              0      2014             0    98155  47.7538 -122.325   \n",
       "...              ...       ...           ...      ...      ...      ...   \n",
       "1692               0      1993             0    98077  47.7090 -122.073   \n",
       "8393               0      1949          1990    98136  47.5271 -122.384   \n",
       "18462              0      1968             0    98002  47.2775 -122.203   \n",
       "9850               0      1953             0    98004  47.6391 -122.205   \n",
       "18433              0      1987             0    98038  47.3617 -122.052   \n",
       "\n",
       "       sqft_living15  sqft_lot15  \n",
       "11907           2830       80148  \n",
       "20559           1590        2306  \n",
       "17038           3350       42847  \n",
       "15921           1580        6026  \n",
       "11891           1300        8408  \n",
       "...              ...         ...  \n",
       "1692            3330       18901  \n",
       "8393            2030        5499  \n",
       "18462           1540        7480  \n",
       "9850            2390       13656  \n",
       "18433           1370        7686  \n",
       "\n",
       "[14633 rows x 21 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the count of sales for each month and return the top result\n",
    "sales[sales.date.dt.year == 2014].sort_values('date', ascending= True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the number of sales that took place in each month of the year?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    2414\n",
       "Name: date, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.date.dt.month.value_counts().head(1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which homes were sold between May 1st, 2014 and May 1st, 2015?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Sales')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select one year of sales data between May 1, 2014 and May 1, 2015\n",
    "one_year = sales[sales.date.between('2014-05-01', '2015-05-01')].sort_values('date')\n",
    "\n",
    "# Count sales for each month and plot as a bar chart\n",
    "one_year.date.dt.month.value_counts().sort_index().plot(kind='bar')\n",
    "\n",
    "# Add labels\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.title('Monthly Sales from May 1, 2014 to May 1, 2015')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Sales')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the number of homesales for each day of the week?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    4715\n",
       "2    4603\n",
       "0    4099\n",
       "3    3994\n",
       "4    3685\n",
       "5     287\n",
       "6     230\n",
       "Name: date, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.date.dt.dayofweek.value_counts()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a line plot that shows the total number of sales by week of the year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count number of sales by week and generate line plot\n",
    "weekly_sales = sales.date.dt.isocalendar().week.value_counts().sort_index()\n",
    "weekly_sales.plot(kind='line')\n",
    "\n",
    "# Add labels and title to plot\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.xlabel('Week')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.title('Weekly Sales')\n",
    "\n",
    "# Display plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar plot showing the total number of sales that took place in December."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract sales data for December, January, and February\n",
    "df = sales[sales.date.dt.month.isin([12, 1, 2])]\n",
    "\n",
    "# Count number of sales by month and generate bar plot\n",
    "monthly_sales = df.date.dt.month.value_counts().sort_index()\n",
    "monthly_sales.plot(kind='bar')\n",
    "\n",
    "# Add labels and title to plot\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.title('Sales in Winter Months')\n",
    "\n",
    "# Display plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which homes were sold between May 1st, 2014 and May 1st, 2015, and among those homes, how many were waterfront properties?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2GjZsWGif8uXLa9SoURo/frz69Omjnj17qkaNGsrIyNDatWv1xRdfaPLkybJYLHrwwQfl7u6umJgYDRgwQFarVStWrND69eslXfvc2YCAAHXu3Fljx47VyZMnVb9+ff3888+aNm2aqlevrpo1ayo7O1uenp567bXXNGLECFWqVEmbN2/W/v371bdv3xt+j6mpqRoxYoTCw8P1yy+/aOrUqWrRokWBVcvSpUvriSeeUHx8vJ5++ml5eHjc8Ji+vr6aPn26XnzxRXXv3l3h4eGqXbu2xowZo6ioKO3atUu1atVSr169bF/Tpk0bJSYmKioqSmFhYUpKSir0G9UCAwO1evVqffrpp6pdu7YOHDig2NhYWSwW22vuelzxWgRgP4IVwDWVKVNGDRo00M6dO20fuLpaq1attG7dOoWGhtq2lS1bVrNnz1Z0dLRGjhwpLy8v1a1bVx9//LGef/55JSUlKSwsTMHBwQoNDdWUKVO0ZcsWzZs3Ty+99JJ8fX31ySefaMGCBSpfvrxCQkIUERFhC8TblR9tH3/8seLj41WhQgW1b99eL7300k3Pbfzrc9O/f3/Fx8drw4YN+v7771WyZMlC+/Xu3Vv+/v768MMPNXXqVJ09e1ZeXl4KDAxUXFycbbXS399fU6ZM0cyZMzVkyBCVL19ejRo10kcffaTw8HDb9U3/KioqSnPnztXSpUv1xx9/qGLFiurQoYNeeukllShRQiVKlNCiRYs0ZcoUTZo0SX/++adq1qypCRMmqHv37jf8Hvv06aOMjAwNGzZMHh4e6tSpk1599VXbX07ytW7dWvHx8Tc9Xr6HHnpICQkJWrx4sRYtWqQ//vhDZcqUUbNmzdSiRQt9+OGH6tSpk8aPH6/Q0FA9+eSTOn78uL744gstXbpUzZo10wcffKCnn37adszXX39dly9f1vvvvy+r1arq1atryJAhOnLkiBITE2/4AS5XvRYB2MeSd6ufIgAA3PHGjx+v3bt3F1r1vFVZWVmKj49XkyZNrrlyDeDORLACAOz24Ycf6tixY4qPj1dMTEyhy4UBgCNxSgAAwG5JSUnauHGj+vXrR6wCcDpWWAEAAGA0LmsFAAAAoxGsAAAAMBrBCgAAAKP9n/7QVWpqxs13Am6Tm5tFPj5eSkvLUm4up4QD+N/H+xqKk6/vza9vzAorcJvc3CyyWCxyc7PcfGcA+B/A+xpMQ7ACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjGZEsFqtVnXs2FHbtm0rdF9GRoZatWqlFStWuGAyAAAAuJrLg/XSpUuKiIjQ4cOHr3l/TEyMTp8+XcxTAQAAwBQuDdYjR46oZ8+eOn78+DXvT0pK0tatW+Xr61vMkwEAAMAULg3W7du3Kzg4WPHx8YXus1qtGjt2rMaNGycPDw8XTAcAAAATuLvywfv06XPd++bMmaN69eqpZcuWt3x8NzeL3Nwst/z1QFGUKOFW4H8B4H8d72swjUuD9XqOHDmipUuX6ssvv7yt4/j4eMliIVjt0emVf7l6BNwhVk7p4uoRANxEuXKlXT0CIMnAYM3Ly9OYMWP04osvqlKlSrd1rLS0LFZYAUOlp2e5egQA11GihJvKlSutP/+8oJycXFePg//jvL29brqPccGakpKinTt36uDBg3rvvfckSRcuXND48eP173//WwsWLCjysXJz85Sbm+esUQHchuxs/k8QMF1OTi7/rcIIxgVrlSpV9PXXXxfYFh4ervDwcHXu3NlFUwEAAMBVjAtWd3d3+fv7F9pWsWJFValSxUVTAQAAwFX4+B8AAACMZswK68GDB697X2JiYjFOAgAAAJOwwgoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMJoRwWq1WtWxY0dt27bNtm3Xrl3q3bu3GjdurMcee0yff/65CycEAACAq7g8WC9duqSIiAgdPnzYti01NVXPP/+8mjdvri+++EIvvviiJk6cqPXr17tuUAAAALiEuysf/MiRI3rllVeUl5dXYPs333yjSpUqKSIiQpJUs2ZNbdu2TStXrlTr1q1dMCkAAABcxaXBun37dgUHB+vll19Wo0aNbNtbtWqlunXrFto/MzPTruO7uVnk5ma53TEBOIG7u8t/wAPgOkqUcCvwv4CruTRY+/Tpc83t1atXV/Xq1W23//vf/+qrr77SiBEj7Dq+j4+XLBaCFTCRt7eXq0fAHaLTK/9y9Qi4Q6yc0sXVI/yf5dJgLYqLFy9qxIgRqlSpknr16mXX16alZbHCChgqPT3L1SMAgEPxvnZrirKAYXSwZmVlaejQofrll1/0ySefqHTp0nZ9fW5unnJz826+I4Bil52d6+oRAMCheF9zHmODNTMzU88995yOHz+uuLg41axZ09UjAQAAwAWMDNbc3FwNHz5cv/32mz766CPVrl3b1SMBAADARYwM1mXLlmnbtm2KjY1VuXLllJqaKkkqWbKkKlSo4NrhAAAAUKyMDNY1a9YoNzdXgwcPLrC9efPm+uijj1w0FQAAAFzBmGA9ePCg7c8LFy504SQAAAAwCVcEBgAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAAIDRjAhWq9Wqjh07atu2bbZtJ06c0LPPPqtGjRqpQ4cO2rRpkwsnBAAAgKu4PFgvXbqkiIgIHT582LYtLy9Pw4YNU6VKlbR8+XJ16dJFw4cPV0pKigsnBQAAgCu4u/LBjxw5oldeeUV5eXkFtm/dulUnTpzQ0qVLddddd6l27drasmWLli9frhEjRrhoWgAAALiCS1dYt2/fruDgYMXHxxfYvnv3btWrV0933XWXbVuTJk20a9euYp4QAAAArubSFdY+ffpcc3tqaqoqV65cYFvFihX1xx9/2HV8NzeL3NwstzwfAOdxd3f5GUkA4FC8rzmPS4P1ei5cuCAPD48C2zw8PGS1Wu06jo+PlywWghUwkbe3l6tHAACH4n3NeYwM1lKlSuns2bMFtlmtVnl6etp1nLS0LFZYAUOlp2e5egQAcCje125NUULfyGCtUqWKjhw5UmDbmTNnCp0mcDO5uXnKzc27+Y4Ail12dq6rRwAAh+J9zXmMPNmiYcOG2rdvny5evGjblpycrIYNG7pwKgAAALiCkcHavHlzVatWTaNHj9bhw4c1b9487dmzR0899ZSrRwMAAEAxMzJYS5QoodmzZys1NVXdu3fXl19+qVmzZunuu+929WgAAAAoZsacw3rw4MECt/39/fXxxx+7aBoAAACYwsgVVgAAACAfwQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACj3XawXr58WT/++KOysrIcMQ8AAABQgN3B+vvvv2vAgAHas2ePLl68qG7duqlHjx4KCwvT/v37nTEjAAAA7mB2B2tUVJQyMjLk4+Oj1atXKyUlRZ988onatWunmJgYZ8wIAACAO5i7vV+wdetWxcXFqXr16po8ebJatWqloKAgeXt7q3v37s6YEQAAAHcwu1dYL1++rPLlyysvL09btmxRaGioJCk3N1fu7nb3LwAAAHBDdhdmvXr1tGzZMvn6+urPP//Uww8/LKvVqvnz5+uBBx5wxowAAAC4g9kdrKNGjdILL7yg9PR0Pf/886pataoiIyP17bffasGCBc6YEQAAAHcwu4M1MDBQmzZtUmZmpsqVKydJ6tevn1566SVVqFDB0fMBAADgDndL12F1c3PTwYMHtXTpUmVmZionJ0dlypRx9GwAAACA/SusmZmZGjhwoHbv3i2LxaIWLVpo8uTJOn78uBYvXqwqVao4Y04AAADcoexeYZ06daosFovWrl0rT09PSdKrr76qUqVKKTo62uEDAgAA4M5md7CuW7dOr732mmrUqGHbVrt2bY0bN05btmxx6HAAAACA3cGalpYmX1/fQtvLlSun8+fPO2QoAAAAIJ/dwdqgQQOtXr260PYlS5aoXr16DhkKAAAAyGf3h64iIiI0YMAA7dmzR9nZ2YqNjdXRo0e1b98+LVy40BkzAgAA4A5m9wprUFCQli5dqrvuukv+/v7atWuXqlatqiVLlig4ONgZMwIAAOAOZvcKqyQ98MADXBEAAAAAxaJIwTpz5swiH3D48OG3PAwAAADwV0UK1hUrVhTpYBaLhWAFAACAQxUpWBMTE509BwAAAHBNdn/o6nqsVquSk5MddTgAAABA0i186Grv3r0aO3asDh06pNzc3EL379+/3yGDAQAAANItrLBGRUWpRIkSGjNmjEqWLKmxY8eqX79+cnd319SpU50xIwAAAO5gdq+w/vTTT4qLi1NgYKBWrFihOnXqqE+fPqpatao+++wzPf74486YEwAAAHcou1dYc3Nz5evrK0ny9/fXoUOHJEmPPPKIDhw44NjpAAAAcMezO1j9/f1tH66qVauWfvzxR0lSRkaGrFarY6cDAADAHc/uUwLCw8P15ptvSpIee+wxdenSRZ6envrhhx/UqFEjR88HAACAO5zdwdqjRw95e3urQoUKql27tqKiojR//nxVq1ZNY8eOdcaMAAAAuIPZHayS1LZtW9ufO3XqpE6dOjlsIAAAAOBqRT6HNT09XR9//LEyMjIkSTk5OZoyZYo6deqk/v37a9u2bU4bEgAAAHeuIgXriRMn1KlTJ8XExCgtLU2S9M4772jBggWqVauWqlevrsGDB/ObrgAAAOBwRTolYObMmbr33ns1e/ZslS1bVmfPnlV8fLzCwsI0ffp0SZKfn59iY2O1YMECpw4MAACAO0uRVlg3b96skSNHqmzZsrbb2dnZ6tq1q22fli1bas+ePQ4d7vfff9fgwYMVFBSksLAw/fOf/3To8QEAAGC+Iq2wpqeny8/Pz3Y7KSlJbm5uat68uW2bt7e3Ll265NDhXnrpJd19991asWKFjhw5on/84x/y8/NTu3btHPo4AAAAMFeRVlh9fHx0+vRp2+3Nmzerbt26Kl++vG3b/v37ValSJYcNdu7cOe3atUtDhgxRzZo11bZtW7Vq1Upbtmxx2GMAAADAfEVaYW3VqpViY2M1efJkJSYm6pdfftE//vEP2/3nz5/X7Nmz1aJFC4cN5unpqdKlS2vFihV65ZVXdOLECf3www966aWXinwMNzeL3NwsDpsJgOO4u9v9i/YAwGi8rzlPkYJ15MiRCg8PV7NmzZSXl6f69eurb9++kqRPP/1Us2bNksVi0bBhwxw2WKlSpTRu3DhNnDhRH374oXJyctS9e3f16NGjyMfw8fGSxUKwAiby9vZy9QgA4FC8rzlPkYK1cuXKWrlypTZv3iyLxaLQ0FCVLFnyygHc3dWxY0f1799fVapUcehwR48eVZs2bdS/f38dPnxYEydOVEhIiDp37lykr09Ly2KFFTBUenqWq0cAAIfife3WFCX0i/ybrjw8PNS6detC2+1Z8bTHli1btGzZMm3YsEGenp5q0KCBTp06pdjY2CIHa25unnJz85wyH4Dbk52d6+oRAMCheF9zHmNPtti7d6/8/f3l6elp21avXj2lpKS4cCoAAAAUN2ODtXLlyvr1119ltVpt244dO6bq1au7cCoAAAAUN2ODNSwsTCVLltSYMWP0888/KzExUXPmzFF4eLirRwMAAEAxKlKwRkdH69y5c5KklJQU5eU5/7zQsmXL6p///KdSU1P11FNPKSoqSkOGDFGvXr2c/tgAAAAwR5E+dPXxxx+rT58+Kl++vB555BF9//338vHxcfZsuu+++7R48WKnPw4AAADMVaRg9fPz0/Dhw1W3bl3l5eXp7bffVqlSpa65b1RUlEMHBAAAwJ2tSMEaExOjuXPn6uTJk7JYLEpJSbFdhxUAAABwpiIFa/369TVjxgxJVz4MFRsbK29vb6cOBgAAAEh2/OKAfImJiZKu/BaqQ4cOqWTJkqpdu7buvfdehw8HAAAA2B2sVqtVERER+uabb2zbLBaL2rRpo/fff18eHh4OHRAAAAB3Nruvwzp16lTt2bNHs2bN0o4dO7Rt2zbNmDFDP/30k+20AQAAAMBR7A7WVatW6a233tIjjzyismXLqnz58mrbtq3Gjx+vlStXOmNGAAAA3MHsDtasrCzVqlWr0PZ7771XaWlpDhkKAAAAyGd3sNapU0f/+c9/Cm1fvXo1H7wCAACAw9n9oashQ4Zo6NCh2r9/v4KCgiRJycnJWrt2raZMmeLwAQEAAHBnsztYW7durenTp2v+/Plav3698vLyFBAQoPfff1+PPvqoM2YEAADAHczuYJWkdu3aqV27do6eBQAAACjE7nNYAQAAgOJEsAIAAMBoBCsAAACMZnewJiUl6fLly86YBQAAACjE7mAdMWKEDh065IxZAAAAgELsDlYfHx9lZGQ4YxYAAACgELsva/W3v/1NgwcP1sMPPyx/f3+VKlWqwP3Dhw932HAAAACA3cG6Zs0aVaxYUXv37tXevXsL3GexWAhWAAAAOJTdwZqYmOiMOQAAAIBruuXLWu3YsUNLly5VZmamjhw5ouzsbEfOBQAAAEi6hRXWzMxMDRw4ULt375bFYlGLFi00efJkHT9+XIsXL1aVKlWcMScAAADuUHavsE6dOlUWi0Vr166Vp6enJOnVV19VqVKlFB0d7fABAQAAcGezO1jXrVun1157TTVq1LBtq127tsaNG6ctW7Y4dDgAAADA7mBNS0uTr69voe3lypXT+fPnHTIUAAAAkM/uYG3QoIFWr15daPuSJUtUr149hwwFAAAA5LP7Q1cREREaMGCA9uzZo+zsbMXGxuro0aPat2+fFi5c6IwZAQAAcAeze4U1KChIS5cuVenSpeXv769du3apatWqWrJkiYKDg50xIwAAAO5gdq+wStIDDzygmJgYR88CAAAAFHJLwfrNN99o8eLFOnz4sDw8PFSnTh0NHTpUTZs2dfR8AAAAuMPZfUrAkiVLNHLkSFWrVk0jRozQc889Jy8vL/Xt2/eaH8YCAAAAbofdK6yLFi3S6NGj9fe//9227dlnn9W8efP0wQcf6PHHH3fogAAAALiz2b3CmpqaqlatWhXa3q5dO508edIhQwEAAAD57A7W4OBgrVmzptD29evXq3Hjxg4ZCgAAAMhXpFMCZs6caftztWrV9P7772vv3r0KCgpSiRIltG/fPq1atUoDBw502qAAAAC4MxUpWFesWFHgdtWqVbV3717t3bvXtq1y5cpatWqVXn75ZcdOCAAAgDtakYI1MTHR2XMAAAAA13RL12GVpDNnzshqtRbafvfdd9/WQAAAAMDV7A7WDRs2aPTo0UpPTy+wPS8vTxaLRfv373fYcAAAAIDdwTpp0iQFBgaqT58+8vT0dMZMAAAAgI3dwXr69GnNmTNHtWrVcsY8AAAAQAF2X4f1oYce0r59+5wxCwAAAFCI3SuskZGReuqpp7Rx40bVqFFDFoulwP3Dhw932HAAAACA3cE6e/ZsnTlzRhs3blTp0qUL3GexWAhWAAAAOJTdwbpq1SpFRUWpW7duzpgHAAAAKMDuc1hLly6toKAgZ8xSiNVq1VtvvaVmzZopNDRUU6dOVV5eXrE8NgAAAMxgd7D26dNHM2bM0IULF5wxTwFvv/22Nm/erIULF2rKlCn67LPPFB8f7/THBQAAgDnsPiUgKSlJO3bs0H/+8x9VrFhR7u4FD/Htt986ZLCzZ89q+fLlWrx4sQIDAyVJAwYM0O7du9W7d2+HPAYAAADMZ3ewNmnSRE2aNHHGLAUkJyerTJkyat68uW3boEGD7DqGm5tFbm6Wm+8IoNi5u9v9Ax4AMBrva85jd7AW11UATpw4IT8/PyUkJGjOnDm6fPmyunfvriFDhsjNrWgvCB8fr0KX3QJgBm9vL1ePAAAOxfua89gdrAkJCTe8v2vXrrc4SkHnz5/Xr7/+qqVLlyoqKkqpqakaN26cSpcurQEDBhTpGGlpWaywAoZKT89y9QgA4FC8r92aooS+3cH6+uuvX3N7qVKlVLVqVYcFq7u7uzIzMzVlyhT5+flJklJSUvTpp58WOVhzc/OUm8tVBQATZWfnunoEAHAo3tecx+5gPXDgQIHbOTk5+uWXXxQZGalevXo5bDBfX1+VKlXKFquSdO+99+r333932GMAAADAfLd9dnCJEiVUu3ZtjR49WtOnT3fETJKkhg0b6tKlS/r5559t244dO1YgYAEAAPB/n8M+zubm5qbTp0876nCqVauWWrdurdGjR+vAgQPauHGj5s2bp6efftphjwEAAADzOeRDV5mZmfrss89s10t1lMmTJ2vixIl6+umnVbp0aT3zzDMKDw936GMAAADAbA750JW7u7saN26syMhIR8xkU7ZsWUVHRzv0mAAAAPjfctsfugIAAACciV/JAAAAAKMVaYW1b9++RTqYxWJRXFzcbQ0EAAAAXK1IwXqzS0klJSXpxIkTKleunEOGAgAAAPIVKVijoqKuuT0zM1PvvvuuTpw4oRYtWmjSpEkOHQ4AAACw+0NX+TZv3qwxY8YoIyNDEydOVI8ePRw5FwAAACDpFoL1/Pnzevfdd/XZZ5+pRYsWevvtt1WtWjVnzAYAAADYF6xbtmzRm2++qXPnzmnChAnq2bOns+YCAAAAJBUxWM+fP6/o6GjFx8crJCREkyZNYlUVAAAAxaJIwdqpUyelpKSoRo0aCgoK0vLly6+77/Dhwx02HAAAAFCkYM3Ly1O1atWUnZ2tFStWXHc/i8VCsAIAAMChihSsiYmJzp4DAAAAuCZ+NSsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjPY/E6yDBg3S66+/7uoxAAAAUMz+J4L1q6++0oYNG1w9BgAAAFzA+GA9e/asoqOj1aBBA1ePAgAAABdwd/UAN/Pee++pS5cuOn36tKtHAQAAgAsYHaxbtmxRUlKSVq5cqcjISLu/3s3NIjc3i+MHA3Db3N2N/wEPANiF9zXnMTZYL126pPHjx2vcuHHy9PS8pWP4+HjJYiFYARN5e3u5egQAcCje15zH2GCdOXOm6tevr1atWt3yMdLSslhhBQyVnp7l6hEAwKF4X7s1RQl9Y4P1q6++0pkzZ9S4cWNJktVqlSStWbNGO3fuLNIxcnPzlJub57QZAdy67OxcV48AAA7F+5rzGBusH330kbKzs223J0+eLEn6xz/+4aqRAAAA4ALGBqufn1+B215eV5aL/f39XTEOAAAAXISPswEAAMBoxq6w/tW7777r6hEAAADgAqywAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMZnSwnjp1Si+++KKaN2+uVq1aKSoqSpcuXXL1WAAAAChG7q4e4Hry8vL04osvqly5clqyZInOnTunN954Q25ubho1apSrxwMAAEAxMXaF9dixY9q1a5eioqJ0//33q2nTpnrxxRe1atUqV48GAACAYmTsCquvr68WLFigSpUqFdiemZlZ5GO4uVnk5mZx9GgAHMDd3di/LwPALeF9zXmMDdZy5cqpVatWttu5ubn6+OOP9dBDDxX5GD4+XrJYCFbARN7eXq4eAQAcivc15zE2WP8qJiZGP/30k5YtW1bkr0lLy2KFFTBUenqWq0cAAIfife3WFCX0/yeCNSYmRnFxcZo2bZrq1KlT5K/Lzc1Tbm6eEycDcKuys3NdPQIAOBTva85jfLBOnDhRn376qWJiYvTYY4+5ehwAAAAUM6ODdebMmVq6dKmmTp2q9u3bu3ocAAAAuICxwXr06FHNnj1bgwYNUpMmTZSammq7z9fX14WTAQAAoDgZG6zffvutcnJyFBsbq9jY2AL3HTx40EVTAQAAoLgZG6yDBg3SoEGDXD0GAAAAXIwr3AIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaAQrAAAAjEawAgAAwGgEKwAAAIxGsAIAAMBoBCsAAACMRrACAADAaEYH66VLl/TGG2+oadOmatmypRYtWuTqkQAAAFDM3F09wI1ER0dr7969iouLU0pKikaNGqW7775b7du3d/VoAAAAKCbGBuv58+f1+eefa/78+XrwwQf14IMP6vDhw1qyZAnBCgAAcAcx9pSAAwcOKDs7W40bN7Zta9KkiXbv3q3c3FwXTgYAAIDiZOwKa2pqqry9veXh4WHbVqlSJV26dElnz56Vj4/PTY/h5maRm5vFmWMCuEXu7sb+fRkAbgnva85jbLBeuHChQKxKst22Wq1FOkbFimUcPtf/dSundHH1CADgULyvAf/7jP2rQKlSpQqFaf5tT09PV4wEAAAAFzA2WKtUqaL09HRlZ2fbtqWmpsrT01PlypVz4WQAAAAoTsYGa926deXu7q5du3bZtiUnJ6tBgwZyczN2bAAAADiYseVXunRpde3aVZGRkdqzZ4+++eYbLVq0SH379nX1aAAAAChGlry8vDxXD3E9Fy5cUGRkpL7++muVKVNGAwcO1LPPPuvqsQAAAFCMjA5WAAAAwNhTAgAAAACJYAUAAIDhCFYAAAAYjWAFAACA0QhWAAAAGI1gBQAABQQFBenEiROuHgOwcXf1AAAAoPiNHj36uvdZrVbFxMTIy8tLkhQVFVVcYwHXRLACRbRjx44i79usWTMnTgIAt++///2vvvvuOwUGBqp27dquHge4IX5xAFBEnTp10pEjRyRJN/rPxmKxaP/+/cU1FgDcsq+++koxMTHq0qWLhg0bJg8PD0lS48aN9eWXX6pGjRounhC4gmAFishqtSoiIkK//fab4uPjVapUKVePBAC37dy5c3rvvfeUnJys8ePHKzQ0lGCFcQhWwA5Wq1U9e/ZUSEiIRo0a5epxAMBhtmzZosjISNWvX1/ffvutVq5cSbDCGFwlALCDh4eHpkyZonvuucfVowCAQ4WEhGjlypW6++67VbFiRbm78zEXmIMVVgAAABiNFVYAAAAYjWAFAACA0QhWAAAAGI1gBQAAgNEIVgAAABiNYAUAB7NarVqwYIG6du2qxo0bKzg4WP369dPXX39dLI+fkpKir776qlgeCwCKAxdZAwAHyszMVL9+/XT27FmNGDFCTZo00fnz5/X1118rIiJCPXv21Lhx45w6w6hRo+Tn56cnnnjCqY8DAMWFYAUAB4qOjlZqaqoSEhLk4+Nj2x4QEKAGDRpo8ODBatKkCTEJAHbglAAAcJCMjAx98cUXGjBgQIFYzde6dWuFhIQoLi5Ov/32mwICArRt2zbb/X/dZrVa9d577yksLEz169dX8+bNNXLkSKWlpRXYf+7cuWrRooUeeeQRdevWTdu3b9cXX3yhsLAw23FiYmLUqlUrNW7cWD179tSmTZtsj7tixQq1a9dOb7/9tpo0aaKhQ4c682kCALuxwgoADrJnzx5ZrVY1adLkuvuEhIRo2rRpys7OvunxoqOjtW7dOr377rvy8/PTwYMHNXr0aMXGxurNN9+07ffFF18oLi5OFy5cUI0aNfTCCy+oatWqtlMPRo8eraNHj2ry5MmqUqWK1q1bpxdeeEEzZ85U69atJUnHjx/X6dOnlZCQoIsXL97eEwEADkawAoCDpKenS5LKlSt33X28vb2Vl5dn2/dGGjRooPbt26tp06aSJD8/P4WGhurQoUMF9uvTp4/uu+8+2+2SJUvK09NTPj4++vXXX7Vq1SolJCSobt26kqT+/fvrwIEDWrhwoS1YJWno0KGqUaNGkb9fACguBCsAOEj+aQDnzp277j5nz56VJJUtW/amx+vSpYs2b96syZMn65dfftGxY8f0888/2wI2n7+//3WP8dNPP0m6ErVXu3z5cqGwrlmz5k1nAgBXIFgBwEEaNGigUqVKafv27QoMDLzmPtu3b1edOnXk6elZ6L6cnJwCt8eNG6c1a9aoa9euCgsL07Bhw7Rw4UKdOnWqwH7XOla+vLw8SdKSJUvk5eVV4D43t4IfY7jRcQDAlQhWAHCQsmXLqnv37lq8eLE6d+6sypUrKzc3Vx07dlSbNm3UuHFjbdq0SRMmTFDJkiUlXbkMVr5ffvnF9uf09HTFx8dr2rRp6tChg237sWPHdNdddxV5pvvvv1+SlJqaqnr16tm2T5s2TW5ubho5cuStfrsAUGy4SgAAONBrr72me+65R71791ZCQoJOnjypIUOGaOnSpRo2bJiCgoLUo0cPVa5cWX5+foqLi9PRo0eVnJys6dOny2KxSJLKlCmjsmXL6ttvv9Wvv/6qgwcPauzYsdq3b5+sVusNZ/Dy8tLJkyf1xx9/6P7771ebNm00fvx4JSYm6sSJE5o/f77mzp2re+65pzieEgC4bQQrADjQXXfdpQ8//FB9+/ZVXFycOnfurAkTJiggIECDBw/W0aNHNWzYMJ0+fVrR0dHKzMxUly5dNG7cOEVERNh+TF+yZElNnz5dhw4dUqdOnfTcc8/pwoULioiI0JEjR3ThwoXrztC7d28dOnRInTt3Vk5OjqZNm6ZHH31U48aNU4cOHZSQkKBJkyapW7duxfW0AMBtseTln+AEAHC69PR0ff755/r73/9u14/2AeBORrACAADAaJwSAAAAAKMRrAAAADAawQoAAACjEawAAAAwGsEKAAAAoxGsAAAAMBrBCgAAAKMRrAAAADAawQoAAACj/T9ID66LA1NnmQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract sales data between May 1, 2014 and May 1, 2015\n",
    "df_2 = sales[sales.date.between('2014-05-01', '2015-05-01')]\n",
    "\n",
    "# Extract sales data for waterfront properties and plot by quarter\n",
    "waterfront = df[df.waterfront == 1]\n",
    "waterfront_quarters = waterfront.date.dt.quarter.value_counts()\n",
    "\n",
    "# Generate bar plot\n",
    "waterfront_quarters.plot(kind='bar')\n",
    "\n",
    "# Add labels and title to plot\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.xlabel('Quarter')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.title('Waterfront Sales by Quarter')\n",
    "\n",
    "# Display plot\n",
    "plt.show()\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the number of homes sold in each quarter?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot sales by quarter\n",
    "sales.date.dt.quarter.value_counts().plot(kind='bar')\n",
    "\n",
    "# Add labels and title to plot\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.xlabel('Quarter')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.title('Sales by Quarter')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the correlation between house price and various features?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\YaqoobDavid\\AppData\\Local\\Temp\\ipykernel_21944\\145588404.py:5: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  corr = sales.corr()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create scatter plot of house price vs. square footage of living area\n",
    "sns.scatterplot(x='sqft_living', y='price', data=sales)\n",
    "\n",
    "# Create heatmap of correlation matrix\n",
    "corr = sales.corr()\n",
    "sns.heatmap(corr, cmap='coolwarm')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What are the most common zip codes in the dataset?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count frequency of each zip code and plot as a bar chart\n",
    "zip_counts = sales.zipcode.value_counts().sort_index()\n",
    "zip_counts.plot(kind='bar', figsize=(12,6))\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.xlabel('Zip Code')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the average price of houses in different zip codes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\YaqoobDavid\\AppData\\Local\\Temp\\ipykernel_21944\\772375121.py:2: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  zip_price = sales.groupby('zipcode').mean()['price'].sort_values()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "zipcode\n",
      "98002    2.342840e+05\n",
      "98168    2.403284e+05\n",
      "98032    2.512962e+05\n",
      "98001    2.808047e+05\n",
      "98148    2.849086e+05\n",
      "             ...     \n",
      "98102    9.012583e+05\n",
      "98112    1.095499e+06\n",
      "98040    1.194230e+06\n",
      "98004    1.355927e+06\n",
      "98039    2.160607e+06\n",
      "Name: price, Length: 70, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group data by zip code and calculate mean house price for each group\n",
    "zip_price = sales.groupby('zipcode').mean()['price'].sort_values()\n",
    "print(zip_price)\n",
    "\n",
    "# Plot mean house price for each zip code\n",
    "plt.style.use('seaborn-v0_8')\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.bar(zip_price.index, zip_price.values)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('Zip Code')\n",
    "plt.ylabel('Mean House Price')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between house price and the presence of a waterfront view?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='waterfront', ylabel='price'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lFLDBY0YBhCIuS0Iwo5QCNnjMKIBQw2VJCHaUUqAOPGYUQCjhsiQEO0opUA8eMwogVHBZEoIdpRSoB48ZBRAquCwJwc5hncUXkZSVHTUdAQCAs8qKFa9pzZqVsixLDodDV111ja699lemYyGEJSTEevU6VkoBAGhGRo68WtHRMZKkmJgYLktC0KCUAgDQ7PxzSyggWFBKAQBoRtasWamqqipJUlVVFZvnI2hQSgEAaCbYPB/BjFIKAEAzwOb5CHaUUgAAmgE2z0ewM1pK33vvPfXo0aPWn6lTp5qMBABASGLzfAS7cJNffOfOnbr00ks1e/ZszxibkwMA0PhObZ7/wAPTTxtn83wEA6Mrpbt27dL555+vhIQEz5/WrVubjAQAQMhKTOyorKxRngLqcDiUlTVaHTokGk4GBEEp7dKli8kIAAA0KyNHXq02bdpKktq2jWPzfAQNY48ZtSxL6enpyszM1NatW3Xy5EmNGDFCU6dOVUREhFfHOHiwQk4npxsAAPDF559v0eLFLys7e7LS0weYjoMQFxcX49XrjF1TWlxcrGPHjikiIkJ/+tOftG/fPj3yyCM6fvy4HnzwQa+OER8fwzUwAAD4KDPzX5WZ+a+mYwC1GFsplaTy8nK1adPGUyzfeecdTZ8+XZ9//rnCwsLO+H5WSgEAAIJb0K+USlLbtm1rfd61a1e5XC4dOXJE8fHxZ3y/223J7WazXwAAgLOdsRudPvroI2VkZOjYsWOesa+//lpt27b1qpACAAAgdBgrpenp6YqMjNSDDz6o3bt3a/369Zo7d65+/etfm4oEAAAAQ4xeU1pYWKjHHntMeXl5iomJ0U033aTf/va3Xt+8VFZ2tIkTAgAAwB8JCbFevc5oKfUXpRQAACC4eVtKjW6eDwAAAEiUUgAAAAQBSikAAACMo5QCAADAOEopAAAAjKOUAgDQzOTlbdH06VOVl7fFdBTAg1IKAEAz4nK5tHhxrg4ePKAlS3LlcrlMRwIkUUoBAGhW1qxZqSNHyiVJ5eXlWrt2ldlAwE8opQAANBOlpfu1du1qnXpujmVZWrt2lUpL9xtOBlBKAQBoFizL0rJlCyVZtuNn8QMeESIopQAANAMlJcUqKMiX2+2uNe52u1VQkK+SkmJDyYAfUUoBAGgGkpKS1bdvmpzO2r/6nU6n+vZNU1JSsqFkwI8opQAANAMOh0Pjxk2S5DhtfPz4yXI4HLbvAwKFUgoAQDORmNhRWVmjao1lZY1Whw6JhhIB/0QpBc6ATaYBhJIrrhjhWRV1OBy6/PIrDScCfkQpBerBJtMAQs17771da0uodeveMZwI+BGlFKgHm0wDCCWn9in9OfYpRbCglAJ1YJNpAKGEfUoR7CilgA1+eAMINexTimBHKQVs8MMbQKhhn1IEO0opYIMf3gBCDfuUIthRSgEb/PAGEIpO7VP68y2h2KcUwYJSCtSBH94AQtHIkVerTZu2kqS2beOUlTXabCDgJ5RSoB788AYQaiIjI5WdnaN27dprwoTJioyMNB0JkCQ5rLP4NuKysqOmI6AZyMvbomXLFmncuInq33+A6TgAAJxVEhJivXodpRQAAABNxttSyul7AAAAGEcpBQAAgHGUUuAM8vK2aPr0qcrL22I6CgAAIYtSCtTD5XJp8eJcHTx4QEuW5MrlcpmOBABASKKUAvVYs2aljhwplySVl5dr7dpVZgMBABCiKKVAHUpL92vt2tU6tUGFZVlau3aVSkv3G04GAEDooZQCNizL0rJlCyVZtuNn8U5qAAAEJUopYKOkpFgFBflyu921xt1utwoK8lVSUmwoGQAAoYlSCthISkpW375pcjprf4s4nU717ZumpKRkQ8kAAAhNfpXSTz/9VK+++qoqKiq0c+dO1dTUNFYuwCiHw6Fx4yZJcpw2Pn78ZDkcDtv3AQCAhmlQKa2oqNBNN92kCRMm6KGHHtLhw4c1f/58XX311SotLW3sjIARiYkdlZU1ylNAHQ6HsrJGq0OHRMPJAAAIPQ0qpQsWLJAkvffee4qKipIkTZ8+XREREZo7d27jpQMMGznyarVp01aS1LZtnLKyRpsNBABAiGpQKf3www81Y8YMderUyTPWtWtXzZw5Uxs2bGi0cIBpkZGRuuSSYXI6nbr44n9VZGSk6UgAAISkBpXSQ4cOKSEh4bTx1q1bq6qqqkFBpkyZonvvvbdB7wWaisvl0scfr5fb7dYnn6zniU4AADSRBpXS1NRUvfXWW6eNL1u2TL179/b5eGvWrNH69esbEgVoUjzRCQCAwAhvyJvuuusu5eTkKD8/XzU1NXruuee0a9cubd26VS+99JJPxyovL9fcuXOVmprakChAk6nriU5DhgxVYmJHw+kAAAgtDquBj6bZtm2bcnNz9dVXX8ntdqt79+7KyclRv379fDrOfffdp4SEBH3//feSpMcff9zr9x48WCGnk6150Pgsy9K8eXP01VcFtTbQdzqd6t27r6ZPv49toQAA8EJcXIxXr2vQSqkkpaSk6Pbbb9e//Mu/SJLeffddde7c2adjbNiwQZs3b9bq1as1a9YsnzPEx8dQDNAk9u7dq4KC/NPGTz3RqbLycK0b/QAAgH8aVEq3bt2qnJwcjRkzRvfcc4+kH1c4q6urlZubq/PPP/+Mx3C5XPrDH/6gmTNneraV8tWhQ5WslKJJxMTEqW/fNNuV0j59UhUTE6fDhysNJgQA4OzQpCuljz/+uDIzM3XnnXd6xt599139/ve/1+OPP67c3NwzHuOZZ55R3759NXTo0IZEkCS53Zbc7gZdfQCc0bhxk/TAA9NrjZ160tPJk5Yk/u4BANBYGnRNaXp6ulatWnXa6ctvvvlG119/vbZs2XLGY2RmZurAgQMKCwuTJFVXV0uSIiIi9Pnnn3uVo6zsqI/JAd+sWPGa1qxZKcuy5HA4dNVV1+jaa39lOhYAAGeNhIRYr17XoJXSmJgY7d2797RS+v333ysiIsKrYyxZskQ1NTWez+fPny9JuvvuuxsSCWgSI0derY8/Xq/y8sM80QkAgCbUoH1Kr7zySj300EPasGGDKisrVVlZqf/93//VQw89pCuuuMKrY6SkpKhz586ePzExMYqJifH5ZimgKUVGRqp79x+vke7WrTtPdAIAoIk0aKV02rRp+u677zR58uRad79fccUVmjFjRqOFA0w7evQHbd68SZK0efMmHT36g2JjWxtOBaCxVFVVqaSk2HSMgHO5jkuSIiMbdqPx2SwpKVnR0dGmY8BGg/cplaTdu3drx44datGihbp27aouXbo0YrQz45pSNLU5c2apsHCH5/Pu3Xvovvv+YDARgMZSVVWlGTOmNvjx2Dg7RUdHa+7cP1NMA6hJryk95bzzztN5553nzyGAoLV165e1CqkkFRZu19atX6pPH55ABgBAY/J6pbRXr176+OOP1a5dO/Xs2bPeTeu//vrrRgtYH1ZK0VTcbrfuuONWVVRUnDbXqlUr/elPz8vpbNAl2QCCSHM8fV9UtFcLF74gSZo06TdKSWleDwLh9H3gNfpK6WOPPabY2B8POmfOnIalAs4S+fl5toVUkioqKpSfn6f+/S8IcCoAjS06Olpdu3YzHcOYlJROzfqfH8HF61J67bXXej7eunWrsrOzPY8YBUJNWlp/tWrVqs6V0rS0/oEPBQBACGvQ+cc33niDU5cIaU6nU7fc8jvbudtu+3/8/QcAoJE16DfrsGHDtHTp0jpPbwKhoH37BNvx+Ph2AU4CAEDoa9Dd92VlZVq7dq0WLVqkdu3anbah+Pvvv98o4QBTLMvSsmULbeeWLVuoO++8p96b/QAAgG8aVEozMjKUkZHR2FmAoFFSUqyCgnzbuYKCfJWUFCs5OSXAqQAACF0NKqW33357Y+cAgkpSUrK6d++hwsLtp811795DSUnJBlIBABC6Grx5fl5enpYsWaIdO3YoLCxMffr00aRJk9S9e/fGzAcYU11d7dM4AABouAbd6PTBBx9o7Nix2rdvny6++GINGjRI27dv15gxY7R58+bGzggEXHFxkfbs+cZ2bs+eb1RcXBTgRAAAhLYGrZQ++eSTuvnmmzVt2rRa40888YTmzZun5cuXN0o4AAAANA8NWinds2ePrrvuutPGb7zxRm3bts3vUIBpyckp6t69h+3c+ef35CYnAAAaWYNKaa9evbRhw4bTxgsKCrimFCHB4XAoJ+eW07Z9qmscAAD4p0Gn70ePHq358+dr9+7dysjIUHh4uL788kstWrRIN910k/72t795XnvNNdc0UlQgsBITO2rEiKv01lurPWO//OUodeiQaDAVAAChyWFZluXrm3r27OndwR0Off311z6H8lZZ2dEmOzYgSS6XS3ff/TtVVlaoVatWmjfv6dMeFgEAZ5Ndu3bq0UdnSpIeeOBhde3azXAihLqEhFivXteglVKuG0VzERkZqZtvvkXLli3SuHETKaQAADSRBl1TCgAAADQmSilQD5fLpZdeel4HDx7QSy89L5fLZToSAAAhiVIK1GPVqr+qsrJSklRZWalVq1YYTgQAQGiilAJ1KC3dr7feWlNr7O2331Rp6X5DiQAACF2UUsCGZVnKzf1PSZbteAM2rQAAAPWglAI2iouLVFi43XausHC7iouLApwIAIDQRikFAACAcZRSwEZSUrKio6Nt56Kjo5WUlBzgRAAAhDZKKWBj//4SVVVV2c5VVVVp//6SACcCACC0UUoBG0lJyerc+VzbuS5dzmOlFACARkYpBWxYlqWyslLbue+/38/d9wAANDJKKWAjPz+v3tP3+fl5gQ0EAECIo5QCNtLS+qtVq1a2c61atVJaWv/ABgIAIMRRSgEbTqdTN9wwznbuppsmyOnkWwcAgMbEb1bAhmVZeuedNbZzb721mmtKAQBoZJRSwEZR0V4VFe2rY26fior2BjgRAAChjVIK2Ni27Wu/5gEAgG8opYCNnj17+TUPAAB8QykFbKSkdFJKyjm2c+ec00kpKZ0CnAgAgNBGKQVsOBwOXXnlSNu5K68cKYfDEeBEAACENkopYMPtduu115bZzi1fvlRutzvAiQAACG1GS+mePXt08803Kz09XcOHD9eLL75oMg7gkZ+fp4qKCtu5iooKnugEAEAjCzf1hd1ut6ZMmaLU1FS98cYb2rNnj+666y4lJiZq1KhRpmIBkqTU1H4KCwvTyZMnT5sLCwtTamo/A6kAAAhdxlZKDxw4oF69emnWrFnq0qWLhg0bpsGDB2vLli2mIgEepaX7bQupJJ08eVKlpfsDnAgAgNBmrJR26NBBf/rTn9SqVStZlqUtW7bo008/1YUXXmgqEuCRlJSsDh062s4lJnZUUlJygBMBABDajJ2+/7nMzEwVFxfr0ksv1ZVXXun1+5xOh5xO7oJG46upqdH339uvhpaW7pfDYSk8PCzAqQDAf+Hhjlofh4dzzzOCQ1CU0j//+c86cOCAZs2apTlz5ujBBx/06n3x8TFszYMmsXTp0nrn33lntcaPHx+gNADQeGJjW9b6OC4uxmAa4J+CopSmpqZKklwul+6++27NmDFDERERZ3zfoUOVrJSiSfTu3U/S8nrnDx+uDFwgAGgkR48eq/UxP8vQ1Lz9Hx9jpfTAgQPKy8vT5Zdf7hnr1q2bTpw4oYqKCsXHx5/xGG63JbfbasqYaKa2b99+xvlOnboEJgwANKKaGqvWxzU17LuM4GDsQpJ9+/bp9ttvV2lpqWesoKBA8fHxXhVSoCn16NHTr3kAAOAbY6U0NTVVffr00f3336+dO3dq/fr1mjdvnm699VZTkQCPMz2xiSc6AQDQuIyV0rCwMD377LNq2bKlbrzxRj3wwAOaMGGCsrOzTUUCPD78cJ1f8wAAwDdGb3RKTEzUM888YzICYKtPnzT9z/98WO88AABoPGxOBtg40+b4bJ4PAEDjopQCNlJSzlFy8jl1zHVSSor9HAAAaBhKKVCHmBj7fdWio6MDnAQAgNBHKQVslJQUq7DQfq/SwsLtKikpDnAiAABCG6UUsJGY2FFhYfbPtg8LC1NiYscAJwIAILRRSgEbX375hU6ePGk7d/LkSX355RcBTgQAQGijlAI2+vatf8unM80DAADfUEoBG/n5eX7NAwAA31BKARsOh3/zAADAN5RSwEb79h38mgcAAL6hlAIAAMA4Silg48CBMr/mAQCAbyilgI1+/dIVERFhOxcREal+/dIDnAgAgNBGKQVsWJalEydO2M6dOFEty7ICnAgAgNBGKQVsrF//QZ3F07IsrV//QYATAQAQ2iilgI3Bgy/xax4AAPiGUgrYePnlF/yaBwAAvqGUAjauuGKEX/MAAMA3lFLAxscf/92veQAA4BtKKWAjKSnFr3kAAOAbSilgw3GGh9ufaR4AAPiGUgrY+OGHI37NAwAA31BKARvp6QP8mgcAAL6hlAI2Xn11qV/zAADAN5RSwMaAARl+zQMAAN9QSgEbmZmX+zUPAAB8QykFbKxe/YZf8wAAwDeUUsBGTEwrv+YBAIBvKKWAjZ07d/g1DwAAfEMpBWxkZAz2ax4AAPgm3HQAIBjV1NT4NQ+cTY4fP66ion2mYyBAior22n6M0JeSco6ioqJMx6gTpRSwsXJl/TcyrVz5hoYMGRqgNEDTKirap0cfnWk6BgxYuPAF0xEQQA888LC6du1mOkadOH0P2Lj44kv8mgcAAL5hpRSwkZf32RnnR48eE6A0QODEXNBeYa0jTMdAE7Nq3JIkRzhrU6Hu5A/VqvzsgOkYXqGUAjZ69Oipb7/dXe88EIrCWkeoRXzwXnMGIHTxv0iAjYED63+M6JnmAQCAbyilgI033virX/MAAMA3lFLAxjXXXOfXPAAA8A2lFLCxZ0/d15N6Mw8AAHxjtJSWlpZq6tSpuvDCCzV06FDNmTNHLpfLZCRAktS9e/03Mp1pHgAA+MbY3feWZWnq1Klq3bq1li1bpiNHjuj++++X0+nUPffcYyoWIElyOPybBwAAvjG2Urp7927l5eVpzpw56t69uwYOHKipU6fqzTffNBUJ8Ni+fZtf8wAAwDfGVkoTEhL04osvqn379rXGKyoqvD6G0+mQ08mSFRpft271P4atW7duCmfTaYSI8HB+jgLNQXi4I6h/dxkrpa1bt9bQof98drjb7dbSpUt10UUXeX2M+PgYOTiPiibwyiuLzzi/YMGCAKUBmlZsbEvTEQAEQGxsS8XFxZiOUaegeaLTvHnz9NVXX+kvf/mL1+85dKiSlVI0iQ4dOqqwsLDe+cOHKwOYCGg6R48eMx0BQAAcPXrMyO8ub4twUJTSefPmadGiRXryySd1/vnne/0+t9uS2201YTI0V4cOHT7jfM1Pz44GznY1NfwcBZqDmhorqH93GS+ls2fP1iuvvKJ58+bpyiuvNB0HkCSVlZX6NQ8AAHxj9GrXZ555Rq+++qoWLFigkSNHmowC1NKuXYJf8wAAwDfGVkp37dqlZ599VlOmTNGAAQNUVlbmmUtI4Bc+zNq7d49f8wAAwDfGSun777+vkydP6rnnntNzzz1Xa2779u2GUgE/6tgxSbt376x3HgAANB5jpXTKlCmaMmWKqS8P1Ku6utqveQAA4Jvg3UEVMCg+vp1f8wAAwDeUUsCGy3Xcr3kAAOAbSilg49tvv/VrHgAA+IZSCtg40w4Q7BABAEDjopQCNs70pDCeJAYAQOOilAI2Dh8+5Nc8AADwDaUUsOFwOPyaBwAAvqGUAjaqqir8mgcAAL6hlAIAAMA4Silgo1OnLn7NAwAA31BKARt7937r1zwAAPANpRSw0aJFpF/zAADAN5RSwMaJEy6/5gEAgG8opYANh6P+b40zzQMAAN/wmxWwYVluv+YBAIBvKKWADaczzK95AADgG0opYCMqqv4bmc40DwAAfEMpBWycOFHj1zwAAPANpRSwceJEtV/zAADAN5RSAAAAGEcpBQAAgHHhpgMAAIJHzQ9cmgKEkrPpe5pSCthwOMJkWSfrnQdCxfHjxz0fV312wGASAE3p59/rwYjT94CN+gqpN/MAAMA3rJQCQDMXFRXl+Tj6gvYKbx1hMA2AxlTzQ7XnDMjPv9eDEaUUAOAR3jpCLeKD+xcXgNDE6XsAAAAYRykFAACAcZRSAAAAGEcpBQAAgHGUUgAAABhHKQUAAIBxlFIAAAAYRykFAACAcZRSAAAAGMcTneC1qqoqlZQUm44RNHbt2mk6QpNLSkpWdHS06RgAgGaAUgqvVFVVacaMqaqqqjIdJWg8+uhM0xGaXHR0tObO/TPFFADQ5Dh9DwAAAOOCYqW0urpaY8aM0e9//3tlZGSYjgMbp1bMmsvp++rqas2b90id89OnP6iIiIgAJjKD0/cAgEAxXkpdLpemTZumwsJC01FwBtHR0eratZvpGAEzdOhwffTR308bHzbsMvXq1TvQcQAACGlGT9/v3LlTN9xwg7777juTMQBbkydPsR2fOPHmACcBACD0GS2lmzZtUkZGhpYvX24yBlCn7OzaBfT++2eZCQIAQIgzevp+7Nixfr3f6XTI6XQ0UhrgdOee28XzcWxsrHr27GkuDNBEwsP5OQo0B+HhDoWHB+897savKfVHfHyMHA5+mKLpxMa29Hz8hz/8QXFxMQbTAE3j53/PAYSu2NiWQf177KwupYcOVbJSiiZ19OixWh8fPlxpMA3QNH7+9xxA6DL1e8zbInxWl1K325LbbZmOgRBWU2PV+rimxm0wDdA0fv73HEDoCvbfY8F7YQEAAACaDUopAAAAjKOUAgAAwLiguaZ0+/btpiMAAADAEFZKAQAAYBylFAAAAMZRSgEAAGBc0FxTCgAw7+QP1aYjIACsn/aqdATxIyfROM6m72lKKQDAo/KzA6YjAGim+F8kAAAAGMdKKQA0cykp5+iBBx42HQMBUlS0VwsXviBJmjTpN0pJ6WQ4EQIlJeUc0xHqRSkFgGYuKipKXbt2Mx0DBqSkdOK/PYIGp+8BAABgHCulPjp+/LiKivaZjoEAKSraa/sxQl9KyjmKiooyHQMAmg1KqY+Kivbp0Udnmo4BA05dg4Xm4YEHHua0JgAEEKfvAQAAYBwrpX6ITBqksMi2pmOgiVnuE5Ikh7OF4SRoaidd5XKVfGo6BgA0S5RSP4RFtlVYy3amYwAAAJz1OH0PAAAA4yilAAAAMI5SCgAAAOMopQAAADCOUgoAAADjuPveDyddR0xHANCI+J4GAHMopT46fvy452NXySaDSQA0pZ9/rwMAmh6n7wEAAGAcK6U+ioqK8nwcmXShwiLbGEwDoDGddB3xnAH5+fc6AKDpUUr9EBbZhic6AQAANAJO3wMAAMA4Vkr9cNJVbjoCAsByn5AkOZwtDCdBU+N7GgDMoZT6wVXyqekIAAAAIYFSCgBotqqqqlRSUmw6RkAVFe21/bi5SEpKVnR0tOkYsOGwLMsyHaKhysqOBvxrHj9+XEVF+wL+dWFGUdFeLVz4giRp0qTfKCWlk+FECJSUlHO4Az/EVVVVacaMqaqqqjIdBQEUHR2tuXP/TDENoISEWK9ex0qpj6KiotS1azfTMWBASkon/tsDANBEKKUAgGbp1IpZczt9L0ku149PLIuMbH5nAzh9H7wopQCAZis6OpozIECQYJ9SAAAAGEcpBQAAgHGUUgAAABhHKQUAAIBxlFIAAAAYx9338BpPPuHJJwAANBWe6ASv8OST5oknnwAA/OXtE52Mnr53uVy6//77NXDgQF1yySXKzc01GQcAAACGGD19P3fuXBUUFGjRokUqLi7WPffco+TkZI0YMcJkLNjgySc8+QQAgKZk7PR9VVWVLrroIr3wwgvKyMiQJD377LPasGGDlixZ4tUxOH0PAAAQ3Lw9fW9spXTbtm2qqalRenq6Z2zAgAF6/vnn5Xa75XSe+coCp9Mhp9PRlDEBAAAQAMZKaVlZmeLi4hQREeEZa9++vVwul8rLyxUfH3/GY8THx8jhoJQCAACc7YyV0mPHjtUqpJI8n1dXV3t1jEOHKlkpBQAACGJxcTFevc5YKY2MjDytfJ76PCrKuxtK3G5LbvdZu6MVAAAAfmJsS6jExEQdPnxYNTU1nrGysjJFRUWpdevWpmIBAADAAGOltFevXgoPD1deXp5nbMuWLUpNTfXqJicAAACEDmPtr2XLlrrmmms0a9Ys5efna926dcrNzVV2drapSAAAADDE6GNGjx07plmzZundd99Vq1atdPPNN2vSpElev599SgEAAIKbt/uUGi2l/qKUAgAABDdvSykXbwIAAMA4SikAAACMo5QCAADAOEopAAAAjKOUAgAAwDhKKQAAAIyjlAIAAMA4SikAAACMO6s3zwcAAEBoYKUUAAAAxlFKAQAAYBylFAAAAMZRSgEAAGAcpRQAAADGUUoBAABgHKUUAAAAxlFKAQAAYBylFAAAAMZRSoF6uFwu3X///Ro4cKAuueQS5ebmmo4EAI2iurpaV111lTZu3Gg6CiBJCjcdAAhmc+fOVUFBgRYtWqTi4mLdc889Sk5O1ogRI0xHA4AGc7lcmjZtmgoLC01HATwopUAdqqqq9Prrr+uFF15Qnz591KdPHxUWFmrZsmWUUgBnrZ07d2ratGmyLMt0FKAWTt8Dddi2bZtqamqUnp7uGRswYIC++OILud1ug8kAoOE2bdqkjIwMLV++3HQUoBZWSoE6lJWVKS4uThEREZ6x9u3by+Vyqby8XPHx8QbTAUDDjB071nQEwBYrpUAdjh07VquQSvJ8Xl1dbSISAAAhi1IK1CEyMvK08nnq86ioKBORAAAIWZRSoA6JiYk6fPiwampqPGNlZWWKiopS69atDSYDACD0UEqBOvTq1Uvh4eHKy8vzjG3ZskWpqalyOvnWAQCgMfGbFahDy5Ytdc0112jWrFnKz8/XunXrlJubq+zsbNPRAAAIOdx9D9Tjvvvu06xZszRx4kS1atVKv/vd7/SLX/zCdCwAAEKOw2L3XAAAABjG6XsAAAAYRykFAACAcZRSAAAAGEcpBQAAgHGUUgAAABhHKQUAAIBxlFIAAAAYRykFAACAcZRSAGhklmXpjTfe0MGDB/06Tnl5uSZNmqTU1FRdf/31jZTO3ocffqidO3c26dcAgPpQSgGgkX366ae69957dezYMb+Os2rVKm3evFnLli3Tf/zHfzRSutMVFRXp1ltv9btEA4A/wk0HAIBQ01hPb/7hhx+UkJCgtLS0RjleXXjaNIBgwEopAEgaM2aMHnnkEc/n69atU48ePfT22297xh5//HFNmjRJO3bs0C233KJBgwapb9++uuyyy5SbmytJ2rhxo7KzsyVJl112mVasWCFJ+uyzzzRu3DilpaVp+PDheuihh1RRUeE5dmZmpp544gllZWUpIyNDEyZM0NNPP63i4mL16NFDK1as0NNPP63x48frzjvv1AUXXKDZs2dLkj7//HNlZ2drwIABysjI0H333afDhw/XOvZLL72k3/3ud0pPT1dGRoYeeeQR1dTUaN++fbrsssskSdnZ2Xr66aeb6N8wANSPUgoAki699FJ98sknns//8Y9/yOFwaOPGjZ6xv//977r00kuVk5Ojtm3b6tVXX9Wbb76pESNG6IknntDXX3+t9PR0T7F7/fXXlZWVpW3btmny5MkaOnSoVq1apfnz52vr1q3KycmptUq5dOlSPfjgg3rxxRf17LPPKicnRx07dtTHH3+srKwsST9eGtC+fXutXLlSEyZMUH5+viZMmKDu3bvrtdde01NPPaUvvvhCN998s06ePOk59lNPPaVBgwZp1apVmjFjhpYuXao333xTSUlJev311yVJTz/9tHJycpr03zMA1IVSCgD6cTVx9+7dKikpkSR98sknuuyyyzyl9LvvvtM333yjyy+/XNnZ2Zo5c6a6du2qLl26aOrUqZKk7du3KyIiQm3atJEkxcfHKyoqSi+99JIuvvhi3XrrrerSpYsGDhyoP/7xj/riiy+0adMmT4Zhw4ZpyJAhSk1NVWxsrKKjoxUWFqaEhARFRUV5Xjd16lR16tRJXbp0UW5urnr06KHf//736tq1qy666CItWLBAW7du1ccff+x5zyWXXKLs7Gx16tRJ1113nXr27KnPPvtMYWFhio+PlyS1adNGMTExTfsvGgDqwDWlACCpT58+SkxM1CeffKIhQ4Zo3759mjdvnn71q1+prKxMf//739WrVy+lpKRo7NixevPNN/XVV1/pu+++07Zt2yRJbrfb9thfffWV9uzZo/T09NPmdu3apYyMDElS586dz5izXbt2io2N9Xy+Y8cOXXzxxbVe07NnT8XGxmr79u0aNmyYJKlr1661XhMbG6sTJ06c8esBQKBQSgHgJz8/hZ+amqq0tDQlJiZq48aNWr9+vS677DKVlZXpxhtvVHx8vDIzM3XJJZcoNTXVU/7suN1ujRo1Srfeeutpc6dWKSXVWg2ty/99TV03KVmWpRYtWng+j4iIsH0NAAQLSikA/CQzM1P33HOPnE6nBg8eLEkaPHiwPvjgA23cuFHTpk3Tm2++qfLycr3zzjue0rd9+3ZJ/yx5Doej1nG7d++unTt31loJ3bVrl+bNm6e77rqr1sqnr3r06KEtW7bUGtu2bZsqKipOWx2ty//NCwAmcE0pAPxk8ODBcrlcevfdd2uV0rfeeksJCQnq3bu3OnbsqGPHjuntt99WcXGxPv74Y911112SpOrqaklSdHS0pB/LYWVlpXJycvTVV1/poYce0q5du/T5559r2rRp+vbbb9WlSxe/Mk+ePFnbt2/X7NmztWvXLm3cuFF33323evfu7flnOJNTeXfs2KGjR4/6lQcAGopSCgA/iYiI0JAhQ+R0OtW/f39JP5ZSt9utzMxMSdKIESN088036/HHH9cvf/lLPfbYY7r++us1aNAgffnll5Kk888/X8OGDdMdd9yh5cuXq3///nrxxRf19ddf69prr9Vtt92mc889VwsXLrQ9re6Lfv366cUXX1RBQYGuueYa3XHHHUpPT9fLL79c6/R9feLi4nTddddp7ty5euqpp/zKAwAN5bC4qAgAAACGsVIKAAAA4yilAAAAMI5SCgAAAOMopQAAADCOUgoAAADjKKUAAAAwjlIKAAAA4yilAAAAMI5SCgAAAOMopQAAADCOUgoAAADj/j/RUJeDkohK5wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create box plot comparing house price for homes with and without waterfront view\n",
    "plt.style.use('seaborn-v0_8')\n",
    "sns.boxplot(x='waterfront', y='price', data=sales)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between house price and the quality of the view?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='view', ylabel='price'>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create box plot comparing house price for homes with different view quality ratings\n",
    "plt.style.use('seaborn-v0_8')\n",
    "sns.boxplot(x='view', y='price', data=sales)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between house price and the year the home was built?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='yr_built', ylabel='price'>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-v0_8')\n",
    "sns.scatterplot(x='yr_built', y='price', data=sales)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between house price and the average square footage of interior housing living space for the nearest 15 neighbors?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sqft_living15', ylabel='price'>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-v0_8')\n",
    "sns.scatterplot(x='sqft_living15', y='price', data=sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "colt-analysis",
   "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"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}