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October 15, 2025 18:14
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Data exploration on the Ames housing dataset (Data Science & Machine Learning Lab course @ polito -- 8 & 13/10/2025)
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 156, | |
| "id": "38f1ebfc-dea4-4279-aa7f-2f4f557e0bfe", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "AmesHousing.csv Untitled.ipynb Untitled1.ipynb\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "ls" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 108, | |
| "id": "c7b4839e-f8d9-4473-98e8-f89dc3c6471f", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import pandas as pd\n", | |
| "\n", | |
| "df = pd.read_csv(\"AmesHousing.csv\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 109, | |
| "id": "e53099c5-ed10-4809-a261-36f89aa9bb30", | |
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| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>Order</th>\n", | |
| " <th>PID</th>\n", | |
| " <th>MS SubClass</th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Street</th>\n", | |
| " <th>Alley</th>\n", | |
| " <th>Lot Shape</th>\n", | |
| " <th>Land Contour</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Pool QC</th>\n", | |
| " <th>Fence</th>\n", | |
| " <th>Misc Feature</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>Sale Type</th>\n", | |
| " <th>Sale Condition</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
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| " <td>1</td>\n", | |
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| " <td>141.0</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
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| " <td>2</td>\n", | |
| " <td>526350040</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RH</td>\n", | |
| " <td>80.0</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
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| " <td>Normal</td>\n", | |
| " <td>105000</td>\n", | |
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| " <th>2</th>\n", | |
| " <td>3</td>\n", | |
| " <td>526351010</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>81.0</td>\n", | |
| " <td>14267</td>\n", | |
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| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Gar2</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>4</td>\n", | |
| " <td>526353030</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>93.0</td>\n", | |
| " <td>11160</td>\n", | |
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| " <th>4</th>\n", | |
| " <td>5</td>\n", | |
| " <td>527105010</td>\n", | |
| " <td>60</td>\n", | |
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| " <td>74.0</td>\n", | |
| " <td>13830</td>\n", | |
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| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
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| " <th>2925</th>\n", | |
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| " <tr>\n", | |
| " <th>2926</th>\n", | |
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| " <td>Low</td>\n", | |
| " <td>...</td>\n", | |
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| " <td>MnPrv</td>\n", | |
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| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2927</th>\n", | |
| " <td>2928</td>\n", | |
| " <td>923400125</td>\n", | |
| " <td>85</td>\n", | |
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| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2928</th>\n", | |
| " <td>2929</td>\n", | |
| " <td>924100070</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>77.0</td>\n", | |
| " <td>10010</td>\n", | |
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| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2929</th>\n", | |
| " <td>2930</td>\n", | |
| " <td>924151050</td>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 82 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " Order PID MS SubClass MS Zoning Lot Frontage Lot Area Street \\\n", | |
| "0 1 526301100 20 RL 141.0 31770 Pave \n", | |
| "1 2 526350040 20 RH 80.0 11622 Pave \n", | |
| "2 3 526351010 20 RL 81.0 14267 Pave \n", | |
| "3 4 526353030 20 RL 93.0 11160 Pave \n", | |
| "4 5 527105010 60 RL 74.0 13830 Pave \n", | |
| "... ... ... ... ... ... ... ... \n", | |
| "2925 2926 923275080 80 RL 37.0 7937 Pave \n", | |
| "2926 2927 923276100 20 RL NaN 8885 Pave \n", | |
| "2927 2928 923400125 85 RL 62.0 10441 Pave \n", | |
| "2928 2929 924100070 20 RL 77.0 10010 Pave \n", | |
| "2929 2930 924151050 60 RL 74.0 9627 Pave \n", | |
| "\n", | |
| " Alley Lot Shape Land Contour ... Pool Area Pool QC Fence Misc Feature \\\n", | |
| "0 NaN IR1 Lvl ... 0 NaN NaN NaN \n", | |
| "1 NaN Reg Lvl ... 0 NaN MnPrv NaN \n", | |
| "2 NaN IR1 Lvl ... 0 NaN NaN Gar2 \n", | |
| "3 NaN Reg Lvl ... 0 NaN NaN NaN \n", | |
| "4 NaN IR1 Lvl ... 0 NaN MnPrv NaN \n", | |
| "... ... ... ... ... ... ... ... ... \n", | |
| "2925 NaN IR1 Lvl ... 0 NaN GdPrv NaN \n", | |
| "2926 NaN IR1 Low ... 0 NaN MnPrv NaN \n", | |
| "2927 NaN Reg Lvl ... 0 NaN MnPrv Shed \n", | |
| "2928 NaN Reg Lvl ... 0 NaN NaN NaN \n", | |
| "2929 NaN Reg Lvl ... 0 NaN NaN NaN \n", | |
| "\n", | |
| " Misc Val Mo Sold Yr Sold Sale Type Sale Condition SalePrice \n", | |
| "0 0 5 2010 WD Normal 215000 \n", | |
| "1 0 6 2010 WD Normal 105000 \n", | |
| "2 12500 6 2010 WD Normal 172000 \n", | |
| "3 0 4 2010 WD Normal 244000 \n", | |
| "4 0 3 2010 WD Normal 189900 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "2925 0 3 2006 WD Normal 142500 \n", | |
| "2926 0 6 2006 WD Normal 131000 \n", | |
| "2927 700 7 2006 WD Normal 132000 \n", | |
| "2928 0 4 2006 WD Normal 170000 \n", | |
| "2929 0 11 2006 WD Normal 188000 \n", | |
| "\n", | |
| "[2930 rows x 82 columns]" | |
| ] | |
| }, | |
| "execution_count": 109, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 112, | |
| "id": "1a8f8ad2-14b9-4dc1-a427-ff14206f1a47", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "(2930, 2930)" | |
| ] | |
| }, | |
| "execution_count": 112, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df[\"Order\"].nunique(), df[\"PID\"].nunique()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 113, | |
| "id": "2e96b327-fb4f-4c39-bf04-26dd5eaf79bc", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df.drop(columns=[\"Order\"], inplace=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 115, | |
| "id": "ac229b1a-2dc6-4441-8ad3-5657663d033a", | |
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| " <th></th>\n", | |
| " <th>PID</th>\n", | |
| " <th>MS SubClass</th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
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| " <th>Alley</th>\n", | |
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| " <th>...</th>\n", | |
| " <th>Pool Area</th>\n", | |
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| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
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| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>105000</td>\n", | |
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| " <th>2</th>\n", | |
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| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Gar2</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>526353030</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>93.0</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>527105010</td>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>189900</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>2925</th>\n", | |
| " <td>923275080</td>\n", | |
| " <td>80</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>37.0</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>GdPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2926</th>\n", | |
| " <td>923276100</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Low</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2927</th>\n", | |
| " <td>923400125</td>\n", | |
| " <td>85</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>62.0</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>Shed</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2928</th>\n", | |
| " <td>924100070</td>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>77.0</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2929</th>\n", | |
| " <td>924151050</td>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 81 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " PID MS SubClass MS Zoning Lot Frontage Lot Area Street Alley \\\n", | |
| "0 526301100 20 RL 141.0 31770 Pave NaN \n", | |
| "1 526350040 20 RH 80.0 11622 Pave NaN \n", | |
| "2 526351010 20 RL 81.0 14267 Pave NaN \n", | |
| "3 526353030 20 RL 93.0 11160 Pave NaN \n", | |
| "4 527105010 60 RL 74.0 13830 Pave NaN \n", | |
| "... ... ... ... ... ... ... ... \n", | |
| "2925 923275080 80 RL 37.0 7937 Pave NaN \n", | |
| "2926 923276100 20 RL NaN 8885 Pave NaN \n", | |
| "2927 923400125 85 RL 62.0 10441 Pave NaN \n", | |
| "2928 924100070 20 RL 77.0 10010 Pave NaN \n", | |
| "2929 924151050 60 RL 74.0 9627 Pave NaN \n", | |
| "\n", | |
| " Lot Shape Land Contour Utilities ... Pool Area Pool QC Fence \\\n", | |
| "0 IR1 Lvl AllPub ... 0 NaN NaN \n", | |
| "1 Reg Lvl AllPub ... 0 NaN MnPrv \n", | |
| "2 IR1 Lvl AllPub ... 0 NaN NaN \n", | |
| "3 Reg Lvl AllPub ... 0 NaN NaN \n", | |
| "4 IR1 Lvl AllPub ... 0 NaN MnPrv \n", | |
| "... ... ... ... ... ... ... ... \n", | |
| "2925 IR1 Lvl AllPub ... 0 NaN GdPrv \n", | |
| "2926 IR1 Low AllPub ... 0 NaN MnPrv \n", | |
| "2927 Reg Lvl AllPub ... 0 NaN MnPrv \n", | |
| "2928 Reg Lvl AllPub ... 0 NaN NaN \n", | |
| "2929 Reg Lvl AllPub ... 0 NaN NaN \n", | |
| "\n", | |
| " Misc Feature Misc Val Mo Sold Yr Sold Sale Type Sale Condition \\\n", | |
| "0 NaN 0 5 2010 WD Normal \n", | |
| "1 NaN 0 6 2010 WD Normal \n", | |
| "2 Gar2 12500 6 2010 WD Normal \n", | |
| "3 NaN 0 4 2010 WD Normal \n", | |
| "4 NaN 0 3 2010 WD Normal \n", | |
| "... ... ... ... ... ... ... \n", | |
| "2925 NaN 0 3 2006 WD Normal \n", | |
| "2926 NaN 0 6 2006 WD Normal \n", | |
| "2927 Shed 700 7 2006 WD Normal \n", | |
| "2928 NaN 0 4 2006 WD Normal \n", | |
| "2929 NaN 0 11 2006 WD Normal \n", | |
| "\n", | |
| " SalePrice \n", | |
| "0 215000 \n", | |
| "1 105000 \n", | |
| "2 172000 \n", | |
| "3 244000 \n", | |
| "4 189900 \n", | |
| "... ... \n", | |
| "2925 142500 \n", | |
| "2926 131000 \n", | |
| "2927 132000 \n", | |
| "2928 170000 \n", | |
| "2929 188000 \n", | |
| "\n", | |
| "[2930 rows x 81 columns]" | |
| ] | |
| }, | |
| "execution_count": 115, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 116, | |
| "id": "828e4db1-e684-400c-b854-4a4b2c87d4f1", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df.set_index(\"PID\", inplace=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 117, | |
| "id": "835c46d4-8188-4452-9c6c-be70527e4b24", | |
| "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>MS SubClass</th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Street</th>\n", | |
| " <th>Alley</th>\n", | |
| " <th>Lot Shape</th>\n", | |
| " <th>Land Contour</th>\n", | |
| " <th>Utilities</th>\n", | |
| " <th>Lot Config</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Pool QC</th>\n", | |
| " <th>Fence</th>\n", | |
| " <th>Misc Feature</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>Sale Type</th>\n", | |
| " <th>Sale Condition</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>141.0</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>215000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RH</td>\n", | |
| " <td>80.0</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>105000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>81.0</td>\n", | |
| " <td>14267</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Gar2</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>93.0</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>189900</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>923275080</th>\n", | |
| " <td>80</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>37.0</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>CulDSac</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>GdPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Low</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>85</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>62.0</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>MnPrv</td>\n", | |
| " <td>Shed</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>77.0</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 80 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass MS Zoning Lot Frontage Lot Area Street Alley \\\n", | |
| "PID \n", | |
| "526301100 20 RL 141.0 31770 Pave NaN \n", | |
| "526350040 20 RH 80.0 11622 Pave NaN \n", | |
| "526351010 20 RL 81.0 14267 Pave NaN \n", | |
| "526353030 20 RL 93.0 11160 Pave NaN \n", | |
| "527105010 60 RL 74.0 13830 Pave NaN \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 80 RL 37.0 7937 Pave NaN \n", | |
| "923276100 20 RL NaN 8885 Pave NaN \n", | |
| "923400125 85 RL 62.0 10441 Pave NaN \n", | |
| "924100070 20 RL 77.0 10010 Pave NaN \n", | |
| "924151050 60 RL 74.0 9627 Pave NaN \n", | |
| "\n", | |
| " Lot Shape Land Contour Utilities Lot Config ... Pool Area Pool QC \\\n", | |
| "PID ... \n", | |
| "526301100 IR1 Lvl AllPub Corner ... 0 NaN \n", | |
| "526350040 Reg Lvl AllPub Inside ... 0 NaN \n", | |
| "526351010 IR1 Lvl AllPub Corner ... 0 NaN \n", | |
| "526353030 Reg Lvl AllPub Corner ... 0 NaN \n", | |
| "527105010 IR1 Lvl AllPub Inside ... 0 NaN \n", | |
| "... ... ... ... ... ... ... ... \n", | |
| "923275080 IR1 Lvl AllPub CulDSac ... 0 NaN \n", | |
| "923276100 IR1 Low AllPub Inside ... 0 NaN \n", | |
| "923400125 Reg Lvl AllPub Inside ... 0 NaN \n", | |
| "924100070 Reg Lvl AllPub Inside ... 0 NaN \n", | |
| "924151050 Reg Lvl AllPub Inside ... 0 NaN \n", | |
| "\n", | |
| " Fence Misc Feature Misc Val Mo Sold Yr Sold Sale Type \\\n", | |
| "PID \n", | |
| "526301100 NaN NaN 0 5 2010 WD \n", | |
| "526350040 MnPrv NaN 0 6 2010 WD \n", | |
| "526351010 NaN Gar2 12500 6 2010 WD \n", | |
| "526353030 NaN NaN 0 4 2010 WD \n", | |
| "527105010 MnPrv NaN 0 3 2010 WD \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 GdPrv NaN 0 3 2006 WD \n", | |
| "923276100 MnPrv NaN 0 6 2006 WD \n", | |
| "923400125 MnPrv Shed 700 7 2006 WD \n", | |
| "924100070 NaN NaN 0 4 2006 WD \n", | |
| "924151050 NaN NaN 0 11 2006 WD \n", | |
| "\n", | |
| " Sale Condition SalePrice \n", | |
| "PID \n", | |
| "526301100 Normal 215000 \n", | |
| "526350040 Normal 105000 \n", | |
| "526351010 Normal 172000 \n", | |
| "526353030 Normal 244000 \n", | |
| "527105010 Normal 189900 \n", | |
| "... ... ... \n", | |
| "923275080 Normal 142500 \n", | |
| "923276100 Normal 131000 \n", | |
| "923400125 Normal 132000 \n", | |
| "924100070 Normal 170000 \n", | |
| "924151050 Normal 188000 \n", | |
| "\n", | |
| "[2930 rows x 80 columns]" | |
| ] | |
| }, | |
| "execution_count": 117, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 119, | |
| "id": "d6a00974-4ee5-4c97-b92e-c68a8177eaeb", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "MS SubClass int64\n", | |
| "MS Zoning object\n", | |
| "Lot Frontage float64\n", | |
| "Lot Area int64\n", | |
| "Street object\n", | |
| "Alley object\n", | |
| "Lot Shape object\n", | |
| "Land Contour object\n", | |
| "Utilities object\n", | |
| "Lot Config object\n", | |
| "Land Slope object\n", | |
| "Neighborhood object\n", | |
| "Condition 1 object\n", | |
| "Condition 2 object\n", | |
| "Bldg Type object\n", | |
| "House Style object\n", | |
| "Overall Qual int64\n", | |
| "Overall Cond int64\n", | |
| "Year Built int64\n", | |
| "Year Remod/Add int64\n", | |
| "Roof Style object\n", | |
| "Roof Matl object\n", | |
| "Exterior 1st object\n", | |
| "Exterior 2nd object\n", | |
| "Mas Vnr Type object\n", | |
| "Mas Vnr Area float64\n", | |
| "Exter Qual object\n", | |
| "Exter Cond object\n", | |
| "Foundation object\n", | |
| "Bsmt Qual object\n", | |
| "Bsmt Cond object\n", | |
| "Bsmt Exposure object\n", | |
| "BsmtFin Type 1 object\n", | |
| "BsmtFin SF 1 float64\n", | |
| "BsmtFin Type 2 object\n", | |
| "BsmtFin SF 2 float64\n", | |
| "Bsmt Unf SF float64\n", | |
| "Total Bsmt SF float64\n", | |
| "Heating object\n", | |
| "Heating QC object\n", | |
| "Central Air object\n", | |
| "Electrical object\n", | |
| "1st Flr SF int64\n", | |
| "2nd Flr SF int64\n", | |
| "Low Qual Fin SF int64\n", | |
| "Gr Liv Area int64\n", | |
| "Bsmt Full Bath float64\n", | |
| "Bsmt Half Bath float64\n", | |
| "Full Bath int64\n", | |
| "Half Bath int64\n", | |
| "Bedroom AbvGr int64\n", | |
| "Kitchen AbvGr int64\n", | |
| "Kitchen Qual object\n", | |
| "TotRms AbvGrd int64\n", | |
| "Functional object\n", | |
| "Fireplaces int64\n", | |
| "Fireplace Qu object\n", | |
| "Garage Type object\n", | |
| "Garage Yr Blt float64\n", | |
| "Garage Finish object\n", | |
| "Garage Cars float64\n", | |
| "Garage Area float64\n", | |
| "Garage Qual object\n", | |
| "Garage Cond object\n", | |
| "Paved Drive object\n", | |
| "Wood Deck SF int64\n", | |
| "Open Porch SF int64\n", | |
| "Enclosed Porch int64\n", | |
| "3Ssn Porch int64\n", | |
| "Screen Porch int64\n", | |
| "Pool Area int64\n", | |
| "Pool QC object\n", | |
| "Fence object\n", | |
| "Misc Feature object\n", | |
| "Misc Val int64\n", | |
| "Mo Sold int64\n", | |
| "Yr Sold int64\n", | |
| "Sale Type object\n", | |
| "Sale Condition object\n", | |
| "SalePrice int64\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "for key, value in df.dtypes.items():\n", | |
| " print(key, value)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 122, | |
| "id": "d9cebc57-b0ac-46e6-b0fd-081eee7ae6a3", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df_num = df.select_dtypes(include=np.number)\n", | |
| "df_cat = df.select_dtypes(include=\"object\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 125, | |
| "id": "4d3cfd37-611a-49d3-bb5e-de19e6adcd22", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df_cat = df.select_dtypes(include=\"object\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 127, | |
| "id": "e2bb9491-30f1-45e4-a275-bfc1deb17087", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Index(['MS SubClass', 'Lot Frontage', 'Lot Area', 'Overall Qual',\n", | |
| " 'Overall Cond', 'Year Built', 'Year Remod/Add', 'Mas Vnr Area',\n", | |
| " 'BsmtFin SF 1', 'BsmtFin SF 2', 'Bsmt Unf SF', 'Total Bsmt SF',\n", | |
| " '1st Flr SF', '2nd Flr SF', 'Low Qual Fin SF', 'Gr Liv Area',\n", | |
| " 'Bsmt Full Bath', 'Bsmt Half Bath', 'Full Bath', 'Half Bath',\n", | |
| " 'Bedroom AbvGr', 'Kitchen AbvGr', 'TotRms AbvGrd', 'Fireplaces',\n", | |
| " 'Garage Yr Blt', 'Garage Cars', 'Garage Area', 'Wood Deck SF',\n", | |
| " 'Open Porch SF', 'Enclosed Porch', '3Ssn Porch', 'Screen Porch',\n", | |
| " 'Pool Area', 'Misc Val', 'Mo Sold', 'Yr Sold', 'SalePrice'],\n", | |
| " dtype='object')" | |
| ] | |
| }, | |
| "execution_count": 127, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_num.columns" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 135, | |
| "id": "3244b117-1e23-4723-9995-c0dd0a1075ab", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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", | |
| "text/plain": [ | |
| "<Figure size 1000x300 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "fig, ax = plt.subplots(figsize=(10, 3))\n", | |
| "\n", | |
| "ax.hist(df[\"SalePrice\"], bins=50, edgecolor='k')\n", | |
| "ax.set_xlabel(\"Sale price [$]\")\n", | |
| "ax.set_ylabel(\"Count\")\n", | |
| "\n", | |
| "ax.grid()\n", | |
| "ax.set_axisbelow(True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 140, | |
| "id": "a2c9b9e1-4ebf-49ab-9ab5-a379f6e5e6ca", | |
| "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>MS SubClass</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Overall Qual</th>\n", | |
| " <th>Overall Cond</th>\n", | |
| " <th>Year Built</th>\n", | |
| " <th>Year Remod/Add</th>\n", | |
| " <th>Mas Vnr Area</th>\n", | |
| " <th>BsmtFin SF 1</th>\n", | |
| " <th>BsmtFin SF 2</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Wood Deck SF</th>\n", | |
| " <th>Open Porch SF</th>\n", | |
| " <th>Enclosed Porch</th>\n", | |
| " <th>3Ssn Porch</th>\n", | |
| " <th>Screen Porch</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>141.0</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>6</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1960</td>\n", | |
| " <td>1960</td>\n", | |
| " <td>112.0</td>\n", | |
| " <td>639.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>210</td>\n", | |
| " <td>62</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>215000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>20</td>\n", | |
| " <td>80.0</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>5</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1961</td>\n", | |
| " <td>1961</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>468.0</td>\n", | |
| " <td>144.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>140</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>105000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>20</td>\n", | |
| " <td>81.0</td>\n", | |
| " <td>14267</td>\n", | |
| " <td>6</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1958</td>\n", | |
| " <td>1958</td>\n", | |
| " <td>108.0</td>\n", | |
| " <td>923.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>393</td>\n", | |
| " <td>36</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>20</td>\n", | |
| " <td>93.0</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1968</td>\n", | |
| " <td>1968</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>1065.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>60</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1997</td>\n", | |
| " <td>1998</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>791.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>212</td>\n", | |
| " <td>34</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>189900</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>923275080</th>\n", | |
| " <td>80</td>\n", | |
| " <td>37.0</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>6</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1984</td>\n", | |
| " <td>1984</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>819.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1983</td>\n", | |
| " <td>1983</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>301.0</td>\n", | |
| " <td>324.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>164</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>85</td>\n", | |
| " <td>62.0</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1992</td>\n", | |
| " <td>1992</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>337.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>80</td>\n", | |
| " <td>32</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>20</td>\n", | |
| " <td>77.0</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1974</td>\n", | |
| " <td>1975</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>1071.0</td>\n", | |
| " <td>123.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>240</td>\n", | |
| " <td>38</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>60</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1993</td>\n", | |
| " <td>1994</td>\n", | |
| " <td>94.0</td>\n", | |
| " <td>758.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>190</td>\n", | |
| " <td>48</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 37 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass Lot Frontage Lot Area Overall Qual Overall Cond \\\n", | |
| "PID \n", | |
| "526301100 20 141.0 31770 6 5 \n", | |
| "526350040 20 80.0 11622 5 6 \n", | |
| "526351010 20 81.0 14267 6 6 \n", | |
| "526353030 20 93.0 11160 7 5 \n", | |
| "527105010 60 74.0 13830 5 5 \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 80 37.0 7937 6 6 \n", | |
| "923276100 20 NaN 8885 5 5 \n", | |
| "923400125 85 62.0 10441 5 5 \n", | |
| "924100070 20 77.0 10010 5 5 \n", | |
| "924151050 60 74.0 9627 7 5 \n", | |
| "\n", | |
| " Year Built Year Remod/Add Mas Vnr Area BsmtFin SF 1 \\\n", | |
| "PID \n", | |
| "526301100 1960 1960 112.0 639.0 \n", | |
| "526350040 1961 1961 0.0 468.0 \n", | |
| "526351010 1958 1958 108.0 923.0 \n", | |
| "526353030 1968 1968 0.0 1065.0 \n", | |
| "527105010 1997 1998 0.0 791.0 \n", | |
| "... ... ... ... ... \n", | |
| "923275080 1984 1984 0.0 819.0 \n", | |
| "923276100 1983 1983 0.0 301.0 \n", | |
| "923400125 1992 1992 0.0 337.0 \n", | |
| "924100070 1974 1975 0.0 1071.0 \n", | |
| "924151050 1993 1994 94.0 758.0 \n", | |
| "\n", | |
| " BsmtFin SF 2 ... Wood Deck SF Open Porch SF Enclosed Porch \\\n", | |
| "PID ... \n", | |
| "526301100 0.0 ... 210 62 0 \n", | |
| "526350040 144.0 ... 140 0 0 \n", | |
| "526351010 0.0 ... 393 36 0 \n", | |
| "526353030 0.0 ... 0 0 0 \n", | |
| "527105010 0.0 ... 212 34 0 \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 0.0 ... 120 0 0 \n", | |
| "923276100 324.0 ... 164 0 0 \n", | |
| "923400125 0.0 ... 80 32 0 \n", | |
| "924100070 123.0 ... 240 38 0 \n", | |
| "924151050 0.0 ... 190 48 0 \n", | |
| "\n", | |
| " 3Ssn Porch Screen Porch Pool Area Misc Val Mo Sold Yr Sold \\\n", | |
| "PID \n", | |
| "526301100 0 0 0 0 5 2010 \n", | |
| "526350040 0 120 0 0 6 2010 \n", | |
| "526351010 0 0 0 12500 6 2010 \n", | |
| "526353030 0 0 0 0 4 2010 \n", | |
| "527105010 0 0 0 0 3 2010 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 0 0 0 0 3 2006 \n", | |
| "923276100 0 0 0 0 6 2006 \n", | |
| "923400125 0 0 0 700 7 2006 \n", | |
| "924100070 0 0 0 0 4 2006 \n", | |
| "924151050 0 0 0 0 11 2006 \n", | |
| "\n", | |
| " SalePrice \n", | |
| "PID \n", | |
| "526301100 215000 \n", | |
| "526350040 105000 \n", | |
| "526351010 172000 \n", | |
| "526353030 244000 \n", | |
| "527105010 189900 \n", | |
| "... ... \n", | |
| "923275080 142500 \n", | |
| "923276100 131000 \n", | |
| "923400125 132000 \n", | |
| "924100070 170000 \n", | |
| "924151050 188000 \n", | |
| "\n", | |
| "[2930 rows x 37 columns]" | |
| ] | |
| }, | |
| "execution_count": 140, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_num" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 144, | |
| "id": "9af42c04-87ce-41b3-b968-5ca7d6d71266", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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atLAXX3zRSpcufcH7Mgk6kPYIugNABKlCFA6TrwAALpWGmkvDhg2DXp8yZYp16dLF/XvMmDH+Yee62VZPuddee82/bdasWV0PuR49erhgvHrTde7c2YYPH57BRwMAAH766SfXAN6kSRP/a2pEr1Onjq1cudIF3fWotHFewF20va736hl/1113XfC+TIIOpD2C7gAQAeeO/maWkGAdOnQIu57JVwAAl0q94ZKTK1cuN3w9sSHsUr58eZs7d24a7x0AAEgtb9SaerYH0nNvnR6LFy8etD5btmxuVJu3TSgmQQcyQdBdrWPvv/++ffvtt27Y6s0332zPP/+8VahQwb+N8kz179/f3nnnnaAeNYEnDeWSVI+azz77zE30oB41em+dKAAgOTqHaPKSlPYsz2jnTx1VNITJVwAAAAAAEcUk6EDaS/MI9tKlS12OxxtuuMHOnj1rf/vb31wuyC1btrjhqNK3b1/7+OOPbebMmW4YjCZ4atu2rS1fvtytP3funLVs2dJKlixpK1ascLM1d+rUyU309Oyzz6b1LgOIwYB7hYqV3IzimWXyFQAAAAAAkqI4mezdu9dKlSrlf13Pa9as6d8mcAJ0UXzu4MGD/r8HkAmD7pqsIdDUqVPdsJZ169ZZgwYN7PDhwzZ58mQ3qVOjRo38eSUrVapkq1atcpM2zZ8/3wXpFy5c6Hq/68QxYsQIe/zxx23YsGGWI0eOtN5tADFEPcQVcA/Xi/zEj2vt8OdvR2zfAAAAAAC4GFdccYULnC9atMgfZFcqGOVqV7YI0Rwshw4dcnG42rVru9cWL15s58+fd7nfAWSMdM/VoiC7KHeUqNCfOXMmaNKHihUruhQKmuxBQXc9VqtWLSjdjFLQ6ASyefNmq1Wr1gWfw0zLAFLSi1ypWwAAAAAAiEZHjx61H374IWjy1PXr17u4mmJnffr0saefftquueYaF4QfMmSIlS5d2u688063vTq13nHHHdatWzebOHGii8Epw4QmWdV2iM6UtYl9nijeGS79T7Skz0UEgu5qRdPJoF69ela1alX3miZtUE91zaSc1KQP4SaF8NaFw0zLmVNSJ5VixYqRzxoAAAAAAMSNtWvX2m233eZ/7k1wqrkOlU1i4MCBduzYMevevbvr0V6/fn2XdUKTo3umT5/uAu2NGze2LFmyWLt27WzcuHEROZ7MKKNT1ib7eQlZzHznM2RfkEmC7srtvmnTJvviiy8svTHTcuaT3EklV+48tu3brQTeo8iyZcvshRdecCNWNNfCrFmz/K3p4vP57Mknn7Q33njDXfzV4DZhwgTXAu9RHrnevXvbRx995L/4v/zyy27CZAAAAAAA4lnDhg3dvXViEhISbPjw4W5JjHrFK60zMkfK2pR8HulzM590C7qrRW3OnDkuSFemTBn/68o9dfr0aReQC+ztrkkfvAkd9Lh69eqg99N6b104zLSc+SR1UlEKkANzXnLbEHSPHmpNr1Gjhj388MNu8uNQo0aNcq3nb731ln+Ym1JDaY4Gr9W9ffv2LmC/YMECN8ztoYceci30VAgAAAAAAEC8pqxN6vNIn5v5ZEnrN1RrnALu6gGriRoUeAukSRyyZ8/uJn3wbNu2zfV61mQPoseNGzcGzbasAF2BAgWscuXKab3LiDDvxBG4hAbhER2aN2/ucsfdddddYcv+2LFjbfDgwdamTRurXr26TZs2zXbt2mWzZ8/25xvTsLd//OMfbgIXDYN75ZVX7J133nHbAYgMpWi74YYbLH/+/G7yc41g0bU5tMeNetUELo8++mjQNrqWt2zZ0vLkyePeZ8CAAXb27NkMPhoAAGIf124AAOIs6K6UMm+//bbrtaoKgHKwazlx4oRbX7BgQevatatLBfPZZ5+5NBXq6apAuyZRlaZNm7rgeseOHe2bb76xTz/91AXy9N70ZgeikyZ3UVkPnCRZ5V3BdU2OLHrUCJfrr7/ev422V5oZzbae2IQhShcVuABIW0uXLnXX2FWrVvlHoeharNEtgTQZk0aqeItGt3jOnTvnbto1mm3FihVuxItyTg4dOjQCRwQAQGzj2g0AQJyll1H+Zq9VPdCUKVOsS5cu7t9jxozx53JWQE3pJ1577TX/tlmzZnWpaXr06OGC8Xnz5nUTRiSVrwpAZHmTHIebBDlwkmT1oAmULVs2l2+OSZKByNEIlEC64VZZVcN4gwYN/K+rF1xiad7mz5/vUkktXLjQlfuaNWvaiBEj7PHHH7dhw4a5SdQBAEDa4NoNAEAcppcJt3gBd1Fu5/Hjx7sJFdUS//77719QEShfvrzNnTvXjh8/br/++qu9+OKLLjgHIL5okuTDhw/7l507yVkGpDeVNVGDWKDp06dbsWLFrGrVqq5s6hrt0UiWatWqBTW8qVFdo1M2b94c9nMYyQIAQNrg2g0AQHQhig0gTXgNZ5r0uFSpUv7X9Vy9ZrxtAudqEOWMVAMckyQD0eH8+fPWp08fq1evnrtB9zz44IOuQbx06dK2YcMG1wtOuWPVcC4arRJupIu3LhxGsgAAcOm4dgMAEH0IugNIE5o0WYFzTZLsBdnV80W52pUqSpQu6tChQ27YqyZVFk24rBsF5X4HEHnKD7tp0yb74osvgl7v3r27/9/qFafGtcaNG9v27dvtqquuuqjPUo87zfHi0TmjbFkm0gYAIDW4dgMAEH0IuscwzUS/f//+sOs0xLBcuXIZvk/I3I4ePWo//PBD0OSp69evd8NY9XtSD5unn37arrnmGheEHzJkiOtZc+edd7rtK1WqZHfccYeb0GnixIluwqdevXrZ/fff77YDEFkqj5pTZdmyZVamTJkkt/UaynRO0I27Gt1Wr14dtI1GuggjWQAASB9cuwEAiE4E3ZOwdevWTBuwVsC9QsVKdvLE/8vZFyhX7jy27dutUX8ciC5r16612267zf/c6+WiiY41edPAgQPdPA3qVaMe7fXr13eTPGkeh8C8kro5UC8bb0LlcePGReR4APwfzb3Su3dvmzVrli1ZssQ1miVHDW7ipZPSSJZnnnnGpZDyJkxesGCBFShQwCpXrpzORwAAQHx1SOLaDQBAdCPoHsa5o7+ZJSRYhw4dMm3AWhVKBdyLtupv2YsGD/c7c2CnHZjzktsmmo8B0adhw4augp+YhIQEGz58uFsSo17xM2bMSKc9jC2ZueEPmW9YusrlBx98YPnz5/fncS1YsKDlzp3bDUPX+hYtWljRokVdXti+fftagwYNrHr16m7bpk2buhv0jh072qhRo9x7DB482L03PeIAAJEUix2SuHYDABDdCLqHcf7UUXUdyBQB68R6bHjBOu1/zpJXR2DPYkes9YpB9IuFhj9kLhMmTPA3rAWaMmWKdenSxXLkyGELFy60sWPHutEsyt2qUSq6MfdkzZrVDW/XHA7qOZc3b143CiapRjgAADJCLHZI4toNANGLDnQQgu5JiPaAdXI9NnDpYrFXDKJfZmr4Q2xIagSL6EZ96dKlyb5P+fLlbe7cuWm4ZwAAxM/9XWpw7QaA6EMHutQ1RGxNpHEiVhB0j9EeGyd+XGuHP387YvsWK2KxVwwyj1i6MQQAAAAAIJoklz0iPTrQff7551apUqU0+bxYaIiIZQTdYzQwp8J8MUilEh7BTwAAAAAAgMwlsTjX7t27rd3d99ipkycyJIYUr8Hn80k0RMR6h2GC7vAjlQoAAAAAAABiQUrSMmdUMDieg89p3WE4syDoDj9SqQAAAAAAACBe0jJndDA4HoPP8YqgOy5AKhUAAAAAABANSIOLS0WgG5FA0B0AAAAAAABRhzS4ADIrgu4AAAAAAACIOqTBxaWMhti6dWtE9gcQgu4AAAAAAACIWqTBxaVMlgpEAkF3AAAAAAAAADE5WSoQCQTdASATSmyYHBMJAQAAANGd8oI6O5D2mCwV0YagOxBlmJkdSTl39DezhATr0KFD2PVMJAQAAABEd8oL6uwAEPsIugNRhJnZkZzzp46a+XxMJAQAQDqhAwSA9Ex5QZ0dAOIDQfc4FpqeglmdI4+Z2ZFSTCQEpB5pmQAkhw4QANIa9XYAiE8E3eNQcukpEHlUzAAg7ZCWCUBK0QECAAAAaYGgexxKLD0FszoDAGIRaZkApBYdIOBhIkwAAHAxCLrHsdCbCWZ1BmIDKTSA8AiiAQBSg4kw4wvzOQAA0hJBdwCIEaTQAAAASDtMhBk/mM8h/tDIAiC9EXQHgBhBCg0AAIC0x0ip2Md8DvGFRpboRoMIYkVUB93Hjx9vL7zwgu3Zs8dq1Khhr7zyit14442WGU8OiaV7QHzid5I5y3cs3xhSsUFaoWwDsStayzfXMCA2y3Yk0MASH+KpkSWS5ftirs80iCCWRG3Q/d1337V+/frZxIkTrU6dOjZ27Fhr1qyZbdu2zYoXL27RKLmTAyD8TjJn+Y4V4Rp2du/ebe3uvsdOnTwR9m+o2CAeyjZzIQCZs3xzcw7EZtkGMkKsN7JEsnxf7PU5JQ0in3/+uVWqVCkuOy8ic4naoPvo0aOtW7du9tBDD7nnOkl8/PHH9uabb9oTTzwR6d0LW6j1WmInhxM/rrXDn7+dgXuIaJXURSRefifRXr7jMd+7pKZi4zl16pTlzJkz7Pslti6pv4n1AGdivT1i5bgzY9lOrmzkzJnL/vOff1upUqXS5PcfS/+/EV8yonxfTI+4eOqtCMRT2Y7EewKxJpLlO6n4WFL3mF6sLVyDSEruaYFoEpVB99OnT9u6dets0KBB/teyZMliTZo0sZUrVyZ6c6vFc/jwYfd45MiRsNsfPXr0//5uzw92/vTJC04Aia07tev/TgBJFfLzZ05d8He+s6cv6vPOHPzFPer78PbZo9bJi3rPRNZd7H54/3/Onz8f9vtIbF2S+58On3cx69JjH733TPXv5P//PH1WYr9r73Wfz2fRKrXlO7Vl+1LKd1qvy8jPStG5y+ezAje0tawFLwtad3rXd3Zsy2dhf5Nnf9+fzDkvQb+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| |
| "text/plain": [ | |
| "<Figure size 1500x1500 with 36 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig, ax = plt.subplots(6, 6, figsize=(15, 15))\n", | |
| "\n", | |
| "plt.tight_layout()\n", | |
| "\n", | |
| "for i in range(6):\n", | |
| " for j in range(6):\n", | |
| " col_index = i * 6 + j\n", | |
| " col_name = df_num.columns[col_index]\n", | |
| " ax[i, j].set_title(col_name)\n", | |
| " ax[i, j].hist(df_num[col_name], bins=25, edgecolor='k')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 151, | |
| "id": "e69fa527-62a8-48cc-ac65-a20a9ddc97ef", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "PID\n", | |
| "533238045 2010.0\n", | |
| "528120060 2010.0\n", | |
| "916386020 2010.0\n", | |
| "528175010 2010.0\n", | |
| "916384070 2207.0\n", | |
| "Name: Garage Yr Blt, dtype: float64" | |
| ] | |
| }, | |
| "execution_count": 151, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df[\"Garage Yr Blt\"].sort_values().dropna()[-5:]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 154, | |
| "id": "499142a9-2dc1-4009-b469-3de55be805ab", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "np.int64(2006)" | |
| ] | |
| }, | |
| "execution_count": 154, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.loc[916384070][\"Year Built\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 155, | |
| "id": "411f8851-b304-4d5c-b99e-98519ee5ec84", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "np.int64(2007)" | |
| ] | |
| }, | |
| "execution_count": 155, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.loc[916384070][\"Year Remod/Add\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 157, | |
| "id": "f3133e19-2af9-4427-832a-f5981c9da3e3", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df.loc[916384070, \"Garage Yr Blt\"] = 2007" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 161, | |
| "id": "84fb9f83-4e41-41ea-b64a-7b1636f6f68a", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>MS SubClass</th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Street</th>\n", | |
| " <th>Alley</th>\n", | |
| " <th>Lot Shape</th>\n", | |
| " <th>Land Contour</th>\n", | |
| " <th>Utilities</th>\n", | |
| " <th>Lot Config</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Pool QC</th>\n", | |
| " <th>Fence</th>\n", | |
| " <th>Misc Feature</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>Sale Type</th>\n", | |
| " <th>Sale Condition</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
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| " </tr>\n", | |
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| " <td>False</td>\n", | |
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| " <td>False</td>\n", | |
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| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>False</td>\n", | |
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| " <th>924151050</th>\n", | |
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| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 80 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass MS Zoning Lot Frontage Lot Area Street Alley \\\n", | |
| "PID \n", | |
| "526301100 False False False False False True \n", | |
| "526350040 False False False False False True \n", | |
| "526351010 False False False False False True \n", | |
| "526353030 False False False False False True \n", | |
| "527105010 False False False False False True \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 False False False False False True \n", | |
| "923276100 False False True False False True \n", | |
| "923400125 False False False False False True \n", | |
| "924100070 False False False False False True \n", | |
| "924151050 False False False False False True \n", | |
| "\n", | |
| " Lot Shape Land Contour Utilities Lot Config ... Pool Area \\\n", | |
| "PID ... \n", | |
| "526301100 False False False False ... False \n", | |
| "526350040 False False False False ... False \n", | |
| "526351010 False False False False ... False \n", | |
| "526353030 False False False False ... False \n", | |
| "527105010 False False False False ... False \n", | |
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| "924100070 False False False False ... False \n", | |
| "924151050 False False False False ... False \n", | |
| "\n", | |
| " Pool QC Fence Misc Feature Misc Val Mo Sold Yr Sold \\\n", | |
| "PID \n", | |
| "526301100 True True True False False False \n", | |
| "526350040 True False True False False False \n", | |
| "526351010 True True False False False False \n", | |
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| "... ... ... ... ... ... ... \n", | |
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| "923400125 True False False False False False \n", | |
| "924100070 True True True False False False \n", | |
| "924151050 True True True False False False \n", | |
| "\n", | |
| " Sale Type Sale Condition SalePrice \n", | |
| "PID \n", | |
| "526301100 False False False \n", | |
| "526350040 False False False \n", | |
| "526351010 False False False \n", | |
| "526353030 False False False \n", | |
| "527105010 False False False \n", | |
| "... ... ... ... \n", | |
| "923275080 False False False \n", | |
| "923276100 False False False \n", | |
| "923400125 False False False \n", | |
| "924100070 False False False \n", | |
| "924151050 False False False \n", | |
| "\n", | |
| "[2930 rows x 80 columns]" | |
| ] | |
| }, | |
| "execution_count": 161, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df.isna()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 162, | |
| "id": "f4dd85b7-fcf7-4257-8c7e-d85ef1412cbe", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "s_missing = df.isna().mean()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 164, | |
| "id": "025b570d-fa21-4362-be99-05cf1dbd6c91", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Lot Frontage 16.723549\n", | |
| "Alley 93.242321\n", | |
| "Mas Vnr Type 60.580205\n", | |
| "Mas Vnr Area 0.784983\n", | |
| "Bsmt Qual 2.730375\n", | |
| "Bsmt Cond 2.730375\n", | |
| "Bsmt Exposure 2.832765\n", | |
| "BsmtFin Type 1 2.730375\n", | |
| "BsmtFin SF 1 0.034130\n", | |
| "BsmtFin Type 2 2.764505\n", | |
| "BsmtFin SF 2 0.034130\n", | |
| "Bsmt Unf SF 0.034130\n", | |
| "Total Bsmt SF 0.034130\n", | |
| "Electrical 0.034130\n", | |
| "Bsmt Full Bath 0.068259\n", | |
| "Bsmt Half Bath 0.068259\n", | |
| "Fireplace Qu 48.532423\n", | |
| "Garage Type 5.358362\n", | |
| "Garage Yr Blt 5.426621\n", | |
| "Garage Finish 5.426621\n", | |
| "Garage Cars 0.034130\n", | |
| "Garage Area 0.034130\n", | |
| "Garage Qual 5.426621\n", | |
| "Garage Cond 5.426621\n", | |
| "Pool QC 99.556314\n", | |
| "Fence 80.477816\n", | |
| "Misc Feature 96.382253\n", | |
| "dtype: float64" | |
| ] | |
| }, | |
| "execution_count": 164, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "s_missing[s_missing > 0] * 100" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 168, | |
| "id": "563ed9e2-da0b-40ec-a61d-0310758bf4a7", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df.drop(columns=s_missing[s_missing > 0.4].index, inplace=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 169, | |
| "id": "674e7e22-43a6-4c0c-806c-6cb39ec87c0d", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
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| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
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| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>MS SubClass</th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Street</th>\n", | |
| " <th>Lot Shape</th>\n", | |
| " <th>Land Contour</th>\n", | |
| " <th>Utilities</th>\n", | |
| " <th>Lot Config</th>\n", | |
| " <th>Land Slope</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Enclosed Porch</th>\n", | |
| " <th>3Ssn Porch</th>\n", | |
| " <th>Screen Porch</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>Sale Type</th>\n", | |
| " <th>Sale Condition</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>141.0</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>215000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RH</td>\n", | |
| " <td>80.0</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>105000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>81.0</td>\n", | |
| " <td>14267</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>93.0</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>189900</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>923275080</th>\n", | |
| " <td>80</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>37.0</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>CulDSac</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Low</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>85</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>62.0</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>77.0</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 74 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass MS Zoning Lot Frontage Lot Area Street Lot Shape \\\n", | |
| "PID \n", | |
| "526301100 20 RL 141.0 31770 Pave IR1 \n", | |
| "526350040 20 RH 80.0 11622 Pave Reg \n", | |
| "526351010 20 RL 81.0 14267 Pave IR1 \n", | |
| "526353030 20 RL 93.0 11160 Pave Reg \n", | |
| "527105010 60 RL 74.0 13830 Pave IR1 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 80 RL 37.0 7937 Pave IR1 \n", | |
| "923276100 20 RL NaN 8885 Pave IR1 \n", | |
| "923400125 85 RL 62.0 10441 Pave Reg \n", | |
| "924100070 20 RL 77.0 10010 Pave Reg \n", | |
| "924151050 60 RL 74.0 9627 Pave Reg \n", | |
| "\n", | |
| " Land Contour Utilities Lot Config Land Slope ... Enclosed Porch \\\n", | |
| "PID ... \n", | |
| "526301100 Lvl AllPub Corner Gtl ... 0 \n", | |
| "526350040 Lvl AllPub Inside Gtl ... 0 \n", | |
| "526351010 Lvl AllPub Corner Gtl ... 0 \n", | |
| "526353030 Lvl AllPub Corner Gtl ... 0 \n", | |
| "527105010 Lvl AllPub Inside Gtl ... 0 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 Lvl AllPub CulDSac Gtl ... 0 \n", | |
| "923276100 Low AllPub Inside Mod ... 0 \n", | |
| "923400125 Lvl AllPub Inside Gtl ... 0 \n", | |
| "924100070 Lvl AllPub Inside Mod ... 0 \n", | |
| "924151050 Lvl AllPub Inside Mod ... 0 \n", | |
| "\n", | |
| " 3Ssn Porch Screen Porch Pool Area Misc Val Mo Sold Yr Sold \\\n", | |
| "PID \n", | |
| "526301100 0 0 0 0 5 2010 \n", | |
| "526350040 0 120 0 0 6 2010 \n", | |
| "526351010 0 0 0 12500 6 2010 \n", | |
| "526353030 0 0 0 0 4 2010 \n", | |
| "527105010 0 0 0 0 3 2010 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 0 0 0 0 3 2006 \n", | |
| "923276100 0 0 0 0 6 2006 \n", | |
| "923400125 0 0 0 700 7 2006 \n", | |
| "924100070 0 0 0 0 4 2006 \n", | |
| "924151050 0 0 0 0 11 2006 \n", | |
| "\n", | |
| " Sale Type Sale Condition SalePrice \n", | |
| "PID \n", | |
| "526301100 WD Normal 215000 \n", | |
| "526350040 WD Normal 105000 \n", | |
| "526351010 WD Normal 172000 \n", | |
| "526353030 WD Normal 244000 \n", | |
| "527105010 WD Normal 189900 \n", | |
| "... ... ... ... \n", | |
| "923275080 WD Normal 142500 \n", | |
| "923276100 WD Normal 131000 \n", | |
| "923400125 WD Normal 132000 \n", | |
| "924100070 WD Normal 170000 \n", | |
| "924151050 WD Normal 188000 \n", | |
| "\n", | |
| "[2930 rows x 74 columns]" | |
| ] | |
| }, | |
| "execution_count": 169, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 170, | |
| "id": "93b5afec-fa6b-4b36-8ade-9bbb3619db17", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Lot Frontage 0.167235\n", | |
| "Mas Vnr Area 0.007850\n", | |
| "Bsmt Qual 0.027304\n", | |
| "Bsmt Cond 0.027304\n", | |
| "Bsmt Exposure 0.028328\n", | |
| "BsmtFin Type 1 0.027304\n", | |
| "BsmtFin SF 1 0.000341\n", | |
| "BsmtFin Type 2 0.027645\n", | |
| "BsmtFin SF 2 0.000341\n", | |
| "Bsmt Unf SF 0.000341\n", | |
| "Total Bsmt SF 0.000341\n", | |
| "Electrical 0.000341\n", | |
| "Bsmt Full Bath 0.000683\n", | |
| "Bsmt Half Bath 0.000683\n", | |
| "Garage Type 0.053584\n", | |
| "Garage Yr Blt 0.054266\n", | |
| "Garage Finish 0.054266\n", | |
| "Garage Cars 0.000341\n", | |
| "Garage Area 0.000341\n", | |
| "Garage Qual 0.054266\n", | |
| "Garage Cond 0.054266\n", | |
| "dtype: float64" | |
| ] | |
| }, | |
| "execution_count": 170, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "s_missing = df.isna().mean()\n", | |
| "s_missing[s_missing > 0]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 171, | |
| "id": "e7b7b1b6-6f3f-41b7-91ac-31e27bcbf544", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df_num = df.select_dtypes(include=np.number)\n", | |
| "df_cat = df.select_dtypes(include=\"object\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 172, | |
| "id": "6e590b4a-2067-4512-ab57-a09a28169dd4", | |
| "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", | |
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| "\n", | |
| " .dataframe thead th {\n", | |
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| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>MS SubClass</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Overall Qual</th>\n", | |
| " <th>Overall Cond</th>\n", | |
| " <th>Year Built</th>\n", | |
| " <th>Year Remod/Add</th>\n", | |
| " <th>Mas Vnr Area</th>\n", | |
| " <th>BsmtFin SF 1</th>\n", | |
| " <th>BsmtFin SF 2</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Wood Deck SF</th>\n", | |
| " <th>Open Porch SF</th>\n", | |
| " <th>Enclosed Porch</th>\n", | |
| " <th>3Ssn Porch</th>\n", | |
| " <th>Screen Porch</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
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| " <th></th>\n", | |
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| " <th></th>\n", | |
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| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>141.0</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>6</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1960</td>\n", | |
| " <td>1960</td>\n", | |
| " <td>112.0</td>\n", | |
| " <td>639.0</td>\n", | |
| " <td>0.0</td>\n", | |
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| " <td>62</td>\n", | |
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| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>215000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>20</td>\n", | |
| " <td>80.0</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>5</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1961</td>\n", | |
| " <td>1961</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>468.0</td>\n", | |
| " <td>144.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>140</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>105000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>20</td>\n", | |
| " <td>81.0</td>\n", | |
| " <td>14267</td>\n", | |
| " <td>6</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1958</td>\n", | |
| " <td>1958</td>\n", | |
| " <td>108.0</td>\n", | |
| " <td>923.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>393</td>\n", | |
| " <td>36</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>20</td>\n", | |
| " <td>93.0</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1968</td>\n", | |
| " <td>1968</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>1065.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>60</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1997</td>\n", | |
| " <td>1998</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>791.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>212</td>\n", | |
| " <td>34</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>189900</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>923275080</th>\n", | |
| " <td>80</td>\n", | |
| " <td>37.0</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>6</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1984</td>\n", | |
| " <td>1984</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>819.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1983</td>\n", | |
| " <td>1983</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>301.0</td>\n", | |
| " <td>324.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>164</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>85</td>\n", | |
| " <td>62.0</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1992</td>\n", | |
| " <td>1992</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>337.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>80</td>\n", | |
| " <td>32</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>20</td>\n", | |
| " <td>77.0</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1974</td>\n", | |
| " <td>1975</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>1071.0</td>\n", | |
| " <td>123.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>240</td>\n", | |
| " <td>38</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>60</td>\n", | |
| " <td>74.0</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1993</td>\n", | |
| " <td>1994</td>\n", | |
| " <td>94.0</td>\n", | |
| " <td>758.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>190</td>\n", | |
| " <td>48</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 37 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass Lot Frontage Lot Area Overall Qual Overall Cond \\\n", | |
| "PID \n", | |
| "526301100 20 141.0 31770 6 5 \n", | |
| "526350040 20 80.0 11622 5 6 \n", | |
| "526351010 20 81.0 14267 6 6 \n", | |
| "526353030 20 93.0 11160 7 5 \n", | |
| "527105010 60 74.0 13830 5 5 \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 80 37.0 7937 6 6 \n", | |
| "923276100 20 NaN 8885 5 5 \n", | |
| "923400125 85 62.0 10441 5 5 \n", | |
| "924100070 20 77.0 10010 5 5 \n", | |
| "924151050 60 74.0 9627 7 5 \n", | |
| "\n", | |
| " Year Built Year Remod/Add Mas Vnr Area BsmtFin SF 1 \\\n", | |
| "PID \n", | |
| "526301100 1960 1960 112.0 639.0 \n", | |
| "526350040 1961 1961 0.0 468.0 \n", | |
| "526351010 1958 1958 108.0 923.0 \n", | |
| "526353030 1968 1968 0.0 1065.0 \n", | |
| "527105010 1997 1998 0.0 791.0 \n", | |
| "... ... ... ... ... \n", | |
| "923275080 1984 1984 0.0 819.0 \n", | |
| "923276100 1983 1983 0.0 301.0 \n", | |
| "923400125 1992 1992 0.0 337.0 \n", | |
| "924100070 1974 1975 0.0 1071.0 \n", | |
| "924151050 1993 1994 94.0 758.0 \n", | |
| "\n", | |
| " BsmtFin SF 2 ... Wood Deck SF Open Porch SF Enclosed Porch \\\n", | |
| "PID ... \n", | |
| "526301100 0.0 ... 210 62 0 \n", | |
| "526350040 144.0 ... 140 0 0 \n", | |
| "526351010 0.0 ... 393 36 0 \n", | |
| "526353030 0.0 ... 0 0 0 \n", | |
| "527105010 0.0 ... 212 34 0 \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 0.0 ... 120 0 0 \n", | |
| "923276100 324.0 ... 164 0 0 \n", | |
| "923400125 0.0 ... 80 32 0 \n", | |
| "924100070 123.0 ... 240 38 0 \n", | |
| "924151050 0.0 ... 190 48 0 \n", | |
| "\n", | |
| " 3Ssn Porch Screen Porch Pool Area Misc Val Mo Sold Yr Sold \\\n", | |
| "PID \n", | |
| "526301100 0 0 0 0 5 2010 \n", | |
| "526350040 0 120 0 0 6 2010 \n", | |
| "526351010 0 0 0 12500 6 2010 \n", | |
| "526353030 0 0 0 0 4 2010 \n", | |
| "527105010 0 0 0 0 3 2010 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 0 0 0 0 3 2006 \n", | |
| "923276100 0 0 0 0 6 2006 \n", | |
| "923400125 0 0 0 700 7 2006 \n", | |
| "924100070 0 0 0 0 4 2006 \n", | |
| "924151050 0 0 0 0 11 2006 \n", | |
| "\n", | |
| " SalePrice \n", | |
| "PID \n", | |
| "526301100 215000 \n", | |
| "526350040 105000 \n", | |
| "526351010 172000 \n", | |
| "526353030 244000 \n", | |
| "527105010 189900 \n", | |
| "... ... \n", | |
| "923275080 142500 \n", | |
| "923276100 131000 \n", | |
| "923400125 132000 \n", | |
| "924100070 170000 \n", | |
| "924151050 188000 \n", | |
| "\n", | |
| "[2930 rows x 37 columns]" | |
| ] | |
| }, | |
| "execution_count": 172, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_num" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 173, | |
| "id": "aa2b173f-15e9-497d-8457-6ed8611fb863", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
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| " }\n", | |
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| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Street</th>\n", | |
| " <th>Lot Shape</th>\n", | |
| " <th>Land Contour</th>\n", | |
| " <th>Utilities</th>\n", | |
| " <th>Lot Config</th>\n", | |
| " <th>Land Slope</th>\n", | |
| " <th>Neighborhood</th>\n", | |
| " <th>Condition 1</th>\n", | |
| " <th>Condition 2</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Electrical</th>\n", | |
| " <th>Kitchen Qual</th>\n", | |
| " <th>Functional</th>\n", | |
| " <th>Garage Type</th>\n", | |
| " <th>Garage Finish</th>\n", | |
| " <th>Garage Qual</th>\n", | |
| " <th>Garage Cond</th>\n", | |
| " <th>Paved Drive</th>\n", | |
| " <th>Sale Type</th>\n", | |
| " <th>Sale Condition</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>NAmes</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Fin</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>P</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>RH</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>NAmes</td>\n", | |
| " <td>Feedr</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Unf</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>NAmes</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>Gd</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Unf</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>NAmes</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>Ex</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Fin</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>Gilbert</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Fin</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</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>923275080</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>CulDSac</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>Mitchel</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Detchd</td>\n", | |
| " <td>Unf</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Low</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>Mitchel</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Unf</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>Mitchel</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>NaN</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>Mitchel</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>RFn</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>RL</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>Mitchel</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>Norm</td>\n", | |
| " <td>...</td>\n", | |
| " <td>SBrkr</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Typ</td>\n", | |
| " <td>Attchd</td>\n", | |
| " <td>Fin</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>TA</td>\n", | |
| " <td>Y</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 37 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS Zoning Street Lot Shape Land Contour Utilities Lot Config \\\n", | |
| "PID \n", | |
| "526301100 RL Pave IR1 Lvl AllPub Corner \n", | |
| "526350040 RH Pave Reg Lvl AllPub Inside \n", | |
| "526351010 RL Pave IR1 Lvl AllPub Corner \n", | |
| "526353030 RL Pave Reg Lvl AllPub Corner \n", | |
| "527105010 RL Pave IR1 Lvl AllPub Inside \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 RL Pave IR1 Lvl AllPub CulDSac \n", | |
| "923276100 RL Pave IR1 Low AllPub Inside \n", | |
| "923400125 RL Pave Reg Lvl AllPub Inside \n", | |
| "924100070 RL Pave Reg Lvl AllPub Inside \n", | |
| "924151050 RL Pave Reg Lvl AllPub Inside \n", | |
| "\n", | |
| " Land Slope Neighborhood Condition 1 Condition 2 ... Electrical \\\n", | |
| "PID ... \n", | |
| "526301100 Gtl NAmes Norm Norm ... SBrkr \n", | |
| "526350040 Gtl NAmes Feedr Norm ... SBrkr \n", | |
| "526351010 Gtl NAmes Norm Norm ... SBrkr \n", | |
| "526353030 Gtl NAmes Norm Norm ... SBrkr \n", | |
| "527105010 Gtl Gilbert Norm Norm ... SBrkr \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 Gtl Mitchel Norm Norm ... SBrkr \n", | |
| "923276100 Mod Mitchel Norm Norm ... SBrkr \n", | |
| "923400125 Gtl Mitchel Norm Norm ... SBrkr \n", | |
| "924100070 Mod Mitchel Norm Norm ... SBrkr \n", | |
| "924151050 Mod Mitchel Norm Norm ... SBrkr \n", | |
| "\n", | |
| " Kitchen Qual Functional Garage Type Garage Finish Garage Qual \\\n", | |
| "PID \n", | |
| "526301100 TA Typ Attchd Fin TA \n", | |
| "526350040 TA Typ Attchd Unf TA \n", | |
| "526351010 Gd Typ Attchd Unf TA \n", | |
| "526353030 Ex Typ Attchd Fin TA \n", | |
| "527105010 TA Typ Attchd Fin TA \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 TA Typ Detchd Unf TA \n", | |
| "923276100 TA Typ Attchd Unf TA \n", | |
| "923400125 TA Typ NaN NaN NaN \n", | |
| "924100070 TA Typ Attchd RFn TA \n", | |
| "924151050 TA Typ Attchd Fin TA \n", | |
| "\n", | |
| " Garage Cond Paved Drive Sale Type Sale Condition \n", | |
| "PID \n", | |
| "526301100 TA P WD Normal \n", | |
| "526350040 TA Y WD Normal \n", | |
| "526351010 TA Y WD Normal \n", | |
| "526353030 TA Y WD Normal \n", | |
| "527105010 TA Y WD Normal \n", | |
| "... ... ... ... ... \n", | |
| "923275080 TA Y WD Normal \n", | |
| "923276100 TA Y WD Normal \n", | |
| "923400125 NaN Y WD Normal \n", | |
| "924100070 TA Y WD Normal \n", | |
| "924151050 TA Y WD Normal \n", | |
| "\n", | |
| "[2930 rows x 37 columns]" | |
| ] | |
| }, | |
| "execution_count": 173, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_cat" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 187, | |
| "id": "dd7562dd-3dba-4c48-a26d-4c97ebb5d880", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df.fillna(pd.concat([df_num.mean(), df_cat.mode().iloc[0]]), inplace=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 188, | |
| "id": "8bfea02f-5a97-4d18-8722-daedcf73f7ab", | |
| "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", | |
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| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>MS SubClass</th>\n", | |
| " <th>MS Zoning</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Street</th>\n", | |
| " <th>Lot Shape</th>\n", | |
| " <th>Land Contour</th>\n", | |
| " <th>Utilities</th>\n", | |
| " <th>Lot Config</th>\n", | |
| " <th>Land Slope</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Enclosed Porch</th>\n", | |
| " <th>3Ssn Porch</th>\n", | |
| " <th>Screen Porch</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>Sale Type</th>\n", | |
| " <th>Sale Condition</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>141.00000</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>215000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RH</td>\n", | |
| " <td>80.00000</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>105000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>81.00000</td>\n", | |
| " <td>14267</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>93.00000</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Corner</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.00000</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>189900</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>923275080</th>\n", | |
| " <td>80</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>37.00000</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>CulDSac</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>69.22459</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>IR1</td>\n", | |
| " <td>Low</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>85</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>62.00000</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Gtl</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>20</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>77.00000</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>60</td>\n", | |
| " <td>RL</td>\n", | |
| " <td>74.00000</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>Pave</td>\n", | |
| " <td>Reg</td>\n", | |
| " <td>Lvl</td>\n", | |
| " <td>AllPub</td>\n", | |
| " <td>Inside</td>\n", | |
| " <td>Mod</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>WD</td>\n", | |
| " <td>Normal</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 74 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass MS Zoning Lot Frontage Lot Area Street Lot Shape \\\n", | |
| "PID \n", | |
| "526301100 20 RL 141.00000 31770 Pave IR1 \n", | |
| "526350040 20 RH 80.00000 11622 Pave Reg \n", | |
| "526351010 20 RL 81.00000 14267 Pave IR1 \n", | |
| "526353030 20 RL 93.00000 11160 Pave Reg \n", | |
| "527105010 60 RL 74.00000 13830 Pave IR1 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 80 RL 37.00000 7937 Pave IR1 \n", | |
| "923276100 20 RL 69.22459 8885 Pave IR1 \n", | |
| "923400125 85 RL 62.00000 10441 Pave Reg \n", | |
| "924100070 20 RL 77.00000 10010 Pave Reg \n", | |
| "924151050 60 RL 74.00000 9627 Pave Reg \n", | |
| "\n", | |
| " Land Contour Utilities Lot Config Land Slope ... Enclosed Porch \\\n", | |
| "PID ... \n", | |
| "526301100 Lvl AllPub Corner Gtl ... 0 \n", | |
| "526350040 Lvl AllPub Inside Gtl ... 0 \n", | |
| "526351010 Lvl AllPub Corner Gtl ... 0 \n", | |
| "526353030 Lvl AllPub Corner Gtl ... 0 \n", | |
| "527105010 Lvl AllPub Inside Gtl ... 0 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 Lvl AllPub CulDSac Gtl ... 0 \n", | |
| "923276100 Low AllPub Inside Mod ... 0 \n", | |
| "923400125 Lvl AllPub Inside Gtl ... 0 \n", | |
| "924100070 Lvl AllPub Inside Mod ... 0 \n", | |
| "924151050 Lvl AllPub Inside Mod ... 0 \n", | |
| "\n", | |
| " 3Ssn Porch Screen Porch Pool Area Misc Val Mo Sold Yr Sold \\\n", | |
| "PID \n", | |
| "526301100 0 0 0 0 5 2010 \n", | |
| "526350040 0 120 0 0 6 2010 \n", | |
| "526351010 0 0 0 12500 6 2010 \n", | |
| "526353030 0 0 0 0 4 2010 \n", | |
| "527105010 0 0 0 0 3 2010 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 0 0 0 0 3 2006 \n", | |
| "923276100 0 0 0 0 6 2006 \n", | |
| "923400125 0 0 0 700 7 2006 \n", | |
| "924100070 0 0 0 0 4 2006 \n", | |
| "924151050 0 0 0 0 11 2006 \n", | |
| "\n", | |
| " Sale Type Sale Condition SalePrice \n", | |
| "PID \n", | |
| "526301100 WD Normal 215000 \n", | |
| "526350040 WD Normal 105000 \n", | |
| "526351010 WD Normal 172000 \n", | |
| "526353030 WD Normal 244000 \n", | |
| "527105010 WD Normal 189900 \n", | |
| "... ... ... ... \n", | |
| "923275080 WD Normal 142500 \n", | |
| "923276100 WD Normal 131000 \n", | |
| "923400125 WD Normal 132000 \n", | |
| "924100070 WD Normal 170000 \n", | |
| "924151050 WD Normal 188000 \n", | |
| "\n", | |
| "[2930 rows x 74 columns]" | |
| ] | |
| }, | |
| "execution_count": 188, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 190, | |
| "id": "a12293f4-ca6c-4b76-82c2-75c32fff8a28", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df_num = df.select_dtypes(include=np.number)\n", | |
| "df_cat = df.select_dtypes(include=\"object\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 191, | |
| "id": "29047a00-d35d-43e8-848a-a3bb3a8872bf", | |
| "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>MS SubClass</th>\n", | |
| " <th>Lot Frontage</th>\n", | |
| " <th>Lot Area</th>\n", | |
| " <th>Overall Qual</th>\n", | |
| " <th>Overall Cond</th>\n", | |
| " <th>Year Built</th>\n", | |
| " <th>Year Remod/Add</th>\n", | |
| " <th>Mas Vnr Area</th>\n", | |
| " <th>BsmtFin SF 1</th>\n", | |
| " <th>BsmtFin SF 2</th>\n", | |
| " <th>...</th>\n", | |
| " <th>Wood Deck SF</th>\n", | |
| " <th>Open Porch SF</th>\n", | |
| " <th>Enclosed Porch</th>\n", | |
| " <th>3Ssn Porch</th>\n", | |
| " <th>Screen Porch</th>\n", | |
| " <th>Pool Area</th>\n", | |
| " <th>Misc Val</th>\n", | |
| " <th>Mo Sold</th>\n", | |
| " <th>Yr Sold</th>\n", | |
| " <th>SalePrice</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>PID</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>526301100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>141.00000</td>\n", | |
| " <td>31770</td>\n", | |
| " <td>6</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1960</td>\n", | |
| " <td>1960</td>\n", | |
| " <td>112.0</td>\n", | |
| " <td>639.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>210</td>\n", | |
| " <td>62</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>215000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526350040</th>\n", | |
| " <td>20</td>\n", | |
| " <td>80.00000</td>\n", | |
| " <td>11622</td>\n", | |
| " <td>5</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1961</td>\n", | |
| " <td>1961</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>468.0</td>\n", | |
| " <td>144.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>140</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>105000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526351010</th>\n", | |
| " <td>20</td>\n", | |
| " <td>81.00000</td>\n", | |
| " <td>14267</td>\n", | |
| " <td>6</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1958</td>\n", | |
| " <td>1958</td>\n", | |
| " <td>108.0</td>\n", | |
| " <td>923.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>393</td>\n", | |
| " <td>36</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>12500</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>172000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>526353030</th>\n", | |
| " <td>20</td>\n", | |
| " <td>93.00000</td>\n", | |
| " <td>11160</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1968</td>\n", | |
| " <td>1968</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>1065.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>244000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>527105010</th>\n", | |
| " <td>60</td>\n", | |
| " <td>74.00000</td>\n", | |
| " <td>13830</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1997</td>\n", | |
| " <td>1998</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>791.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>212</td>\n", | |
| " <td>34</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2010</td>\n", | |
| " <td>189900</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>923275080</th>\n", | |
| " <td>80</td>\n", | |
| " <td>37.00000</td>\n", | |
| " <td>7937</td>\n", | |
| " <td>6</td>\n", | |
| " <td>6</td>\n", | |
| " <td>1984</td>\n", | |
| " <td>1984</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>819.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>120</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>142500</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923276100</th>\n", | |
| " <td>20</td>\n", | |
| " <td>69.22459</td>\n", | |
| " <td>8885</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1983</td>\n", | |
| " <td>1983</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>301.0</td>\n", | |
| " <td>324.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>164</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>131000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>923400125</th>\n", | |
| " <td>85</td>\n", | |
| " <td>62.00000</td>\n", | |
| " <td>10441</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1992</td>\n", | |
| " <td>1992</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>337.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>80</td>\n", | |
| " <td>32</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>700</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>132000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924100070</th>\n", | |
| " <td>20</td>\n", | |
| " <td>77.00000</td>\n", | |
| " <td>10010</td>\n", | |
| " <td>5</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1974</td>\n", | |
| " <td>1975</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>1071.0</td>\n", | |
| " <td>123.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>240</td>\n", | |
| " <td>38</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>170000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>924151050</th>\n", | |
| " <td>60</td>\n", | |
| " <td>74.00000</td>\n", | |
| " <td>9627</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1993</td>\n", | |
| " <td>1994</td>\n", | |
| " <td>94.0</td>\n", | |
| " <td>758.0</td>\n", | |
| " <td>0.0</td>\n", | |
| " <td>...</td>\n", | |
| " <td>190</td>\n", | |
| " <td>48</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>0</td>\n", | |
| " <td>11</td>\n", | |
| " <td>2006</td>\n", | |
| " <td>188000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2930 rows × 37 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " MS SubClass Lot Frontage Lot Area Overall Qual Overall Cond \\\n", | |
| "PID \n", | |
| "526301100 20 141.00000 31770 6 5 \n", | |
| "526350040 20 80.00000 11622 5 6 \n", | |
| "526351010 20 81.00000 14267 6 6 \n", | |
| "526353030 20 93.00000 11160 7 5 \n", | |
| "527105010 60 74.00000 13830 5 5 \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 80 37.00000 7937 6 6 \n", | |
| "923276100 20 69.22459 8885 5 5 \n", | |
| "923400125 85 62.00000 10441 5 5 \n", | |
| "924100070 20 77.00000 10010 5 5 \n", | |
| "924151050 60 74.00000 9627 7 5 \n", | |
| "\n", | |
| " Year Built Year Remod/Add Mas Vnr Area BsmtFin SF 1 \\\n", | |
| "PID \n", | |
| "526301100 1960 1960 112.0 639.0 \n", | |
| "526350040 1961 1961 0.0 468.0 \n", | |
| "526351010 1958 1958 108.0 923.0 \n", | |
| "526353030 1968 1968 0.0 1065.0 \n", | |
| "527105010 1997 1998 0.0 791.0 \n", | |
| "... ... ... ... ... \n", | |
| "923275080 1984 1984 0.0 819.0 \n", | |
| "923276100 1983 1983 0.0 301.0 \n", | |
| "923400125 1992 1992 0.0 337.0 \n", | |
| "924100070 1974 1975 0.0 1071.0 \n", | |
| "924151050 1993 1994 94.0 758.0 \n", | |
| "\n", | |
| " BsmtFin SF 2 ... Wood Deck SF Open Porch SF Enclosed Porch \\\n", | |
| "PID ... \n", | |
| "526301100 0.0 ... 210 62 0 \n", | |
| "526350040 144.0 ... 140 0 0 \n", | |
| "526351010 0.0 ... 393 36 0 \n", | |
| "526353030 0.0 ... 0 0 0 \n", | |
| "527105010 0.0 ... 212 34 0 \n", | |
| "... ... ... ... ... ... \n", | |
| "923275080 0.0 ... 120 0 0 \n", | |
| "923276100 324.0 ... 164 0 0 \n", | |
| "923400125 0.0 ... 80 32 0 \n", | |
| "924100070 123.0 ... 240 38 0 \n", | |
| "924151050 0.0 ... 190 48 0 \n", | |
| "\n", | |
| " 3Ssn Porch Screen Porch Pool Area Misc Val Mo Sold Yr Sold \\\n", | |
| "PID \n", | |
| "526301100 0 0 0 0 5 2010 \n", | |
| "526350040 0 120 0 0 6 2010 \n", | |
| "526351010 0 0 0 12500 6 2010 \n", | |
| "526353030 0 0 0 0 4 2010 \n", | |
| "527105010 0 0 0 0 3 2010 \n", | |
| "... ... ... ... ... ... ... \n", | |
| "923275080 0 0 0 0 3 2006 \n", | |
| "923276100 0 0 0 0 6 2006 \n", | |
| "923400125 0 0 0 700 7 2006 \n", | |
| "924100070 0 0 0 0 4 2006 \n", | |
| "924151050 0 0 0 0 11 2006 \n", | |
| "\n", | |
| " SalePrice \n", | |
| "PID \n", | |
| "526301100 215000 \n", | |
| "526350040 105000 \n", | |
| "526351010 172000 \n", | |
| "526353030 244000 \n", | |
| "527105010 189900 \n", | |
| "... ... \n", | |
| "923275080 142500 \n", | |
| "923276100 131000 \n", | |
| "923400125 132000 \n", | |
| "924100070 170000 \n", | |
| "924151050 188000 \n", | |
| "\n", | |
| "[2930 rows x 37 columns]" | |
| ] | |
| }, | |
| "execution_count": 191, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_num" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 195, | |
| "id": "a2ac6437-3c81-41d7-9acf-56e12058bc6e", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "(2930, 37)" | |
| ] | |
| }, | |
| "execution_count": 195, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "df_num.values.shape" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 203, | |
| "id": "ec06ff94-6b43-4192-9968-d5f00f9794d0", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import matplotlib.pyplot as plt" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 223, | |
| "id": "7616624a-a807-4b5d-8034-593e11b96da9", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 1000x1000 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig, ax = plt.subplots(figsize=(10,10))\n", | |
| "\n", | |
| "corr_mat = np.corrcoef(df_num.values.T)\n", | |
| "cm = ax.imshow(corr_mat, cmap=\"RdBu_r\", vmin=-1, vmax=+1)\n", | |
| "fig.colorbar(cm)\n", | |
| "\n", | |
| "ax.set_yticks(range(len(df_num.columns)))\n", | |
| "ax.set_yticklabels(df_num.columns);\n", | |
| "\n", | |
| "ax.set_xticks(range(len(df_num.columns)))\n", | |
| "ax.set_xticklabels(df_num.columns, rotation=90);" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 227, | |
| "id": "c332c8e4-466d-4f50-9a49-14369941b13c", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Index(['MS SubClass', 'Lot Frontage', 'Lot Area', 'Overall Qual',\n", | |
| " 'Overall Cond', 'Year Built', 'Year Remod/Add', 'Mas Vnr Area',\n", | |
| " 'BsmtFin SF 1', 'BsmtFin SF 2', 'Bsmt Unf SF', 'Total Bsmt SF',\n", | |
| " '1st Flr SF', '2nd Flr SF', 'Low Qual Fin SF', 'Gr Liv Area',\n", | |
| " 'Bsmt Full Bath', 'Bsmt Half Bath', 'Full Bath', 'Half Bath',\n", | |
| " 'Bedroom AbvGr', 'Kitchen AbvGr', 'TotRms AbvGrd', 'Fireplaces',\n", | |
| " 'Garage Yr Blt', 'Garage Cars', 'Garage Area', 'Wood Deck SF',\n", | |
| " 'Open Porch SF', 'Enclosed Porch', '3Ssn Porch', 'Screen Porch',\n", | |
| " 'Pool Area', 'Misc Val', 'Mo Sold', 'Yr Sold', 'SalePrice'],\n", | |
| " dtype='object')" | |
| ] | |
| }, | |
| "execution_count": 227, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 238, | |
| "id": "204ec876-a0c7-4e44-bf31-d0161097a1ac", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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