探索性分析.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('D:\\\\dataset\\\\house-prices-advanced-regression-techniques\\\\train.csv')\n",
    "test = pd.read_csv('D:\\\\dataset\\\\house-prices-advanced-regression-techniques\\\\test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1460, 81)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>...</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</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>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</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",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities  ... PoolArea PoolQC Fence MiscFeature MiscVal MoSold  \\\n",
       "0         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "1         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      5   \n",
       "2         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      9   \n",
       "3         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "4         Lvl    AllPub  ...        0    NaN   NaN         NaN       0     12   \n",
       "\n",
       "  YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0   2008        WD         Normal     208500  \n",
       "1   2007        WD         Normal     181500  \n",
       "2   2008        WD         Normal     223500  \n",
       "3   2006        WD        Abnorml     140000  \n",
       "4   2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1460 entries, 0 to 1459\n",
      "Data columns (total 81 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Id             1460 non-null   int64  \n",
      " 1   MSSubClass     1460 non-null   int64  \n",
      " 2   MSZoning       1460 non-null   object \n",
      " 3   LotFrontage    1201 non-null   float64\n",
      " 4   LotArea        1460 non-null   int64  \n",
      " 5   Street         1460 non-null   object \n",
      " 6   Alley          91 non-null     object \n",
      " 7   LotShape       1460 non-null   object \n",
      " 8   LandContour    1460 non-null   object \n",
      " 9   Utilities      1460 non-null   object \n",
      " 10  LotConfig      1460 non-null   object \n",
      " 11  LandSlope      1460 non-null   object \n",
      " 12  Neighborhood   1460 non-null   object \n",
      " 13  Condition1     1460 non-null   object \n",
      " 14  Condition2     1460 non-null   object \n",
      " 15  BldgType       1460 non-null   object \n",
      " 16  HouseStyle     1460 non-null   object \n",
      " 17  OverallQual    1460 non-null   int64  \n",
      " 18  OverallCond    1460 non-null   int64  \n",
      " 19  YearBuilt      1460 non-null   int64  \n",
      " 20  YearRemodAdd   1460 non-null   int64  \n",
      " 21  RoofStyle      1460 non-null   object \n",
      " 22  RoofMatl       1460 non-null   object \n",
      " 23  Exterior1st    1460 non-null   object \n",
      " 24  Exterior2nd    1460 non-null   object \n",
      " 25  MasVnrType     588 non-null    object \n",
      " 26  MasVnrArea     1452 non-null   float64\n",
      " 27  ExterQual      1460 non-null   object \n",
      " 28  ExterCond      1460 non-null   object \n",
      " 29  Foundation     1460 non-null   object \n",
      " 30  BsmtQual       1423 non-null   object \n",
      " 31  BsmtCond       1423 non-null   object \n",
      " 32  BsmtExposure   1422 non-null   object \n",
      " 33  BsmtFinType1   1423 non-null   object \n",
      " 34  BsmtFinSF1     1460 non-null   int64  \n",
      " 35  BsmtFinType2   1422 non-null   object \n",
      " 36  BsmtFinSF2     1460 non-null   int64  \n",
      " 37  BsmtUnfSF      1460 non-null   int64  \n",
      " 38  TotalBsmtSF    1460 non-null   int64  \n",
      " 39  Heating        1460 non-null   object \n",
      " 40  HeatingQC      1460 non-null   object \n",
      " 41  CentralAir     1460 non-null   object \n",
      " 42  Electrical     1459 non-null   object \n",
      " 43  1stFlrSF       1460 non-null   int64  \n",
      " 44  2ndFlrSF       1460 non-null   int64  \n",
      " 45  LowQualFinSF   1460 non-null   int64  \n",
      " 46  GrLivArea      1460 non-null   int64  \n",
      " 47  BsmtFullBath   1460 non-null   int64  \n",
      " 48  BsmtHalfBath   1460 non-null   int64  \n",
      " 49  FullBath       1460 non-null   int64  \n",
      " 50  HalfBath       1460 non-null   int64  \n",
      " 51  BedroomAbvGr   1460 non-null   int64  \n",
      " 52  KitchenAbvGr   1460 non-null   int64  \n",
      " 53  KitchenQual    1460 non-null   object \n",
      " 54  TotRmsAbvGrd   1460 non-null   int64  \n",
      " 55  Functional     1460 non-null   object \n",
      " 56  Fireplaces     1460 non-null   int64  \n",
      " 57  FireplaceQu    770 non-null    object \n",
      " 58  GarageType     1379 non-null   object \n",
      " 59  GarageYrBlt    1379 non-null   float64\n",
      " 60  GarageFinish   1379 non-null   object \n",
      " 61  GarageCars     1460 non-null   int64  \n",
      " 62  GarageArea     1460 non-null   int64  \n",
      " 63  GarageQual     1379 non-null   object \n",
      " 64  GarageCond     1379 non-null   object \n",
      " 65  PavedDrive     1460 non-null   object \n",
      " 66  WoodDeckSF     1460 non-null   int64  \n",
      " 67  OpenPorchSF    1460 non-null   int64  \n",
      " 68  EnclosedPorch  1460 non-null   int64  \n",
      " 69  3SsnPorch      1460 non-null   int64  \n",
      " 70  ScreenPorch    1460 non-null   int64  \n",
      " 71  PoolArea       1460 non-null   int64  \n",
      " 72  PoolQC         7 non-null      object \n",
      " 73  Fence          281 non-null    object \n",
      " 74  MiscFeature    54 non-null     object \n",
      " 75  MiscVal        1460 non-null   int64  \n",
      " 76  MoSold         1460 non-null   int64  \n",
      " 77  YrSold         1460 non-null   int64  \n",
      " 78  SaleType       1460 non-null   object \n",
      " 79  SaleCondition  1460 non-null   object \n",
      " 80  SalePrice      1460 non-null   int64  \n",
      "dtypes: float64(3), int64(35), object(43)\n",
      "memory usage: 924.0+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
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       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1201.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1452.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>730.500000</td>\n",
       "      <td>56.897260</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>10516.828082</td>\n",
       "      <td>6.099315</td>\n",
       "      <td>5.575342</td>\n",
       "      <td>1971.267808</td>\n",
       "      <td>1984.865753</td>\n",
       "      <td>103.685262</td>\n",
       "      <td>443.639726</td>\n",
       "      <td>...</td>\n",
       "      <td>94.244521</td>\n",
       "      <td>46.660274</td>\n",
       "      <td>21.954110</td>\n",
       "      <td>3.409589</td>\n",
       "      <td>15.060959</td>\n",
       "      <td>2.758904</td>\n",
       "      <td>43.489041</td>\n",
       "      <td>6.321918</td>\n",
       "      <td>2007.815753</td>\n",
       "      <td>180921.195890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>421.610009</td>\n",
       "      <td>42.300571</td>\n",
       "      <td>24.284752</td>\n",
       "      <td>9981.264932</td>\n",
       "      <td>1.382997</td>\n",
       "      <td>1.112799</td>\n",
       "      <td>30.202904</td>\n",
       "      <td>20.645407</td>\n",
       "      <td>181.066207</td>\n",
       "      <td>456.098091</td>\n",
       "      <td>...</td>\n",
       "      <td>125.338794</td>\n",
       "      <td>66.256028</td>\n",
       "      <td>61.119149</td>\n",
       "      <td>29.317331</td>\n",
       "      <td>55.757415</td>\n",
       "      <td>40.177307</td>\n",
       "      <td>496.123024</td>\n",
       "      <td>2.703626</td>\n",
       "      <td>1.328095</td>\n",
       "      <td>79442.502883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1872.000000</td>\n",
       "      <td>1950.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>34900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>365.750000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>7553.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1954.000000</td>\n",
       "      <td>1967.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2007.000000</td>\n",
       "      <td>129975.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>730.500000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>9478.500000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1973.000000</td>\n",
       "      <td>1994.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>383.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "      <td>163000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1095.250000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>11601.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>712.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>214000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>215245.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>5644.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>857.000000</td>\n",
       "      <td>547.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>508.000000</td>\n",
       "      <td>480.000000</td>\n",
       "      <td>738.000000</td>\n",
       "      <td>15500.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>755000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Id   MSSubClass  LotFrontage        LotArea  OverallQual  \\\n",
       "count  1460.000000  1460.000000  1201.000000    1460.000000  1460.000000   \n",
       "mean    730.500000    56.897260    70.049958   10516.828082     6.099315   \n",
       "std     421.610009    42.300571    24.284752    9981.264932     1.382997   \n",
       "min       1.000000    20.000000    21.000000    1300.000000     1.000000   \n",
       "25%     365.750000    20.000000    59.000000    7553.500000     5.000000   \n",
       "50%     730.500000    50.000000    69.000000    9478.500000     6.000000   \n",
       "75%    1095.250000    70.000000    80.000000   11601.500000     7.000000   \n",
       "max    1460.000000   190.000000   313.000000  215245.000000    10.000000   \n",
       "\n",
       "       OverallCond    YearBuilt  YearRemodAdd   MasVnrArea   BsmtFinSF1  ...  \\\n",
       "count  1460.000000  1460.000000   1460.000000  1452.000000  1460.000000  ...   \n",
       "mean      5.575342  1971.267808   1984.865753   103.685262   443.639726  ...   \n",
       "std       1.112799    30.202904     20.645407   181.066207   456.098091  ...   \n",
       "min       1.000000  1872.000000   1950.000000     0.000000     0.000000  ...   \n",
       "25%       5.000000  1954.000000   1967.000000     0.000000     0.000000  ...   \n",
       "50%       5.000000  1973.000000   1994.000000     0.000000   383.500000  ...   \n",
       "75%       6.000000  2000.000000   2004.000000   166.000000   712.250000  ...   \n",
       "max       9.000000  2010.000000   2010.000000  1600.000000  5644.000000  ...   \n",
       "\n",
       "        WoodDeckSF  OpenPorchSF  EnclosedPorch    3SsnPorch  ScreenPorch  \\\n",
       "count  1460.000000  1460.000000    1460.000000  1460.000000  1460.000000   \n",
       "mean     94.244521    46.660274      21.954110     3.409589    15.060959   \n",
       "std     125.338794    66.256028      61.119149    29.317331    55.757415   \n",
       "min       0.000000     0.000000       0.000000     0.000000     0.000000   \n",
       "25%       0.000000     0.000000       0.000000     0.000000     0.000000   \n",
       "50%       0.000000    25.000000       0.000000     0.000000     0.000000   \n",
       "75%     168.000000    68.000000       0.000000     0.000000     0.000000   \n",
       "max     857.000000   547.000000     552.000000   508.000000   480.000000   \n",
       "\n",
       "          PoolArea       MiscVal       MoSold       YrSold      SalePrice  \n",
       "count  1460.000000   1460.000000  1460.000000  1460.000000    1460.000000  \n",
       "mean      2.758904     43.489041     6.321918  2007.815753  180921.195890  \n",
       "std      40.177307    496.123024     2.703626     1.328095   79442.502883  \n",
       "min       0.000000      0.000000     1.000000  2006.000000   34900.000000  \n",
       "25%       0.000000      0.000000     5.000000  2007.000000  129975.000000  \n",
       "50%       0.000000      0.000000     6.000000  2008.000000  163000.000000  \n",
       "75%       0.000000      0.000000     8.000000  2009.000000  214000.000000  \n",
       "max     738.000000  15500.000000    12.000000  2010.000000  755000.000000  \n",
       "\n",
       "[8 rows x 38 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Feature</th>\n",
       "      <th>Unique_values</th>\n",
       "      <th>Percentage of missing values</th>\n",
       "      <th>Percentage of values in the biggest categoty</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>PoolQC</td>\n",
       "      <td>3</td>\n",
       "      <td>99.520548</td>\n",
       "      <td>99.520548</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>MiscFeature</td>\n",
       "      <td>4</td>\n",
       "      <td>96.301370</td>\n",
       "      <td>96.301370</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alley</td>\n",
       "      <td>2</td>\n",
       "      <td>93.767123</td>\n",
       "      <td>93.767123</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Fence</td>\n",
       "      <td>4</td>\n",
       "      <td>80.753425</td>\n",
       "      <td>80.753425</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>MasVnrType</td>\n",
       "      <td>3</td>\n",
       "      <td>59.726027</td>\n",
       "      <td>59.726027</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>FireplaceQu</td>\n",
       "      <td>5</td>\n",
       "      <td>47.260274</td>\n",
       "      <td>47.260274</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LotFrontage</td>\n",
       "      <td>110</td>\n",
       "      <td>17.739726</td>\n",
       "      <td>17.739726</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>GarageYrBlt</td>\n",
       "      <td>97</td>\n",
       "      <td>5.547945</td>\n",
       "      <td>5.547945</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>GarageCond</td>\n",
       "      <td>5</td>\n",
       "      <td>5.547945</td>\n",
       "      <td>90.821918</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>GarageType</td>\n",
       "      <td>6</td>\n",
       "      <td>5.547945</td>\n",
       "      <td>59.589041</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Feature  Unique_values  Percentage of missing values  \\\n",
       "72       PoolQC              3                     99.520548   \n",
       "74  MiscFeature              4                     96.301370   \n",
       "6         Alley              2                     93.767123   \n",
       "73        Fence              4                     80.753425   \n",
       "25   MasVnrType              3                     59.726027   \n",
       "57  FireplaceQu              5                     47.260274   \n",
       "3   LotFrontage            110                     17.739726   \n",
       "59  GarageYrBlt             97                      5.547945   \n",
       "64   GarageCond              5                      5.547945   \n",
       "58   GarageType              6                      5.547945   \n",
       "\n",
       "    Percentage of values in the biggest categoty     type  \n",
       "72                                     99.520548   object  \n",
       "74                                     96.301370   object  \n",
       "6                                      93.767123   object  \n",
       "73                                     80.753425   object  \n",
       "25                                     59.726027   object  \n",
       "57                                     47.260274   object  \n",
       "3                                      17.739726  float64  \n",
       "59                                      5.547945  float64  \n",
       "64                                     90.821918   object  \n",
       "58                                     59.589041   object  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 针对训练集的每个特征, 进行了一些统计分析, 如下：\n",
    "# 1. 特征值的唯一值数量. nunique()函数可以查看每列的唯一值的数量\n",
    "# 2. 缺失值所占比例. isnull().sum()可以查看每列缺失值的数量\n",
    "# 3. 出现次数最多的值的频率. value_counts()函数可以查看每个特征值出现的次数, 并可以通过normalize=True参数计算频率\n",
    "#    它返回一个包含唯一值及其出现次数的 Series 对象，其中索引是唯一值，值是出现频率。dropna=False：表示在计算时包含缺失值\n",
    "# 4. 特征类型\n",
    "stats=[]\n",
    "for col in train.columns:\n",
    "    stats.append((col, train[col].nunique(), train[col].isnull().sum()*100 / train.shape[0], \n",
    "                  train[col].value_counts(normalize=True,dropna=False).values[0]*100, train[col].dtype))\n",
    "    stats_df=pd.DataFrame(stats,columns=['Feature','Unique_values','Percentage of missing values',\n",
    "                                         'Percentage of values in the biggest categoty','type'])\n",
    "stats_df.sort_values('Percentage of missing values',ascending=False)[:10]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对缺失值进行可视化\n",
    "missing = train.isnull().sum()\n",
    "missing = missing[missing>0]\n",
    "missing.sort_values(inplace=True)\n",
    "missing.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\office_software\\anaconda\\install\\envs\\daily\\Lib\\site-packages\\seaborn\\axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b52c1e7d10>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对房屋价格这一特征进行核密度可视化\n",
    "# displot()的参数如下：\n",
    "# 1. x：表示数据\n",
    "# 2. color: 表示颜色\n",
    "# 3. bins：表示直方图的个数\n",
    "# 4. kde：是否显示核密度曲线\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.displot(x=train['SalePrice'],color='g',bins=100,kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\office_software\\anaconda\\install\\envs\\daily\\Lib\\site-packages\\seaborn\\axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b52e459110>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x1000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 对房屋价格取了对数之后再进行可视化, 数据更加符合正态分布\n",
    "plt.figure(figsize=(10,10))\n",
    "sns.displot(np.log(train['SalePrice']),color='r',bins=100,kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'MSSubClass'}>,\n",
       "        <Axes: title={'center': 'LotFrontage'}>],\n",
       "       [<Axes: title={'center': 'LotArea'}>,\n",
       "        <Axes: title={'center': 'OverallQual'}>]], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 连续型变量的分布情况\n",
    "# 1. 使用select_dtypes(),参数incleude=['int64','float64']表示选择的数据类型\n",
    "# 2. tolist()函数将 series 转化为列表\n",
    "df_num=train.select_dtypes(include=['int64','float64'])\n",
    "df_num=df_num[df_num.columns.tolist()[1:5:]]\n",
    "df_num.hist(figsize=(16,8),bins=50,xlabelsize=8,ylabelsize=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 针对 object 变量, 进行可视化\n",
    "df_obj=train.select_dtypes(include=['object'])\n",
    "df_obj=df_obj[df_obj.columns.tolist()[-1:-5:-1]]\n",
    "fig, axes = plt.subplots(nrows=1, ncols=len(df_obj.columns), figsize=(16, 8))\n",
    "for i,col in enumerate(df_obj.columns):\n",
    "    counts = df_obj[col].value_counts()\n",
    "    counts.plot.bar(ax=axes[i])\n",
    "    axes[i].set_xlabel(col)\n",
    "    axes[i].set_ylabel('Frequency')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制数值型特征的相似性矩阵, heatmap()包含以下参数：\n",
    "# 1. 相关性矩阵\n",
    "# 2. vmax：颜色的亮度，取值0-1\n",
    "# 3. square：是否显示为正方形\n",
    "corrmat=train.select_dtypes(include=['float64','int64']).corr()\n",
    "fig.ax=plt.subplots(figsize=(15,10))\n",
    "sns.heatmap(corrmat,vmax=1,square=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "进行多变量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# groupby表示对数据进行分组，size表示对分组后的数据进行计数，对 Neighborhood, OverllQual 进行二级分组并计数。\n",
    "# unstack表示对数据进行展开，将一级分组作为行, 将二级分组作为列。\n",
    "# plot()中的参数包括：\n",
    "# 1. kind: 绘制图的类型\n",
    "# 2. stacked: 是否堆叠\n",
    "# 3. figsize: 图的大小\n",
    "# 4. colormap: 颜色映射\n",
    "# 5. grid: 是否显示网格\n",
    "type_cluster = train.groupby(['Neighborhood','OverallQual']).size()\n",
    "type_cluster.unstack().plot(kind='bar',stacked=True,figsize=(13,10),grid=False)\n",
    "plt.xlabel('OverallQual',fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot参数包括：\n",
    "# x：表示横轴\n",
    "# y：表示纵轴\n",
    "# data：表示数据\n",
    "plt.figure(figsize=(20, 8))\n",
    "sns.boxplot(x='Neighborhood', y='SalePrice', data=train)\n",
    "plt.title('SalePrice by Neighborhood', fontsize=16)\n",
    "plt.xlabel('Neighborhood', fontsize=14)\n",
    "plt.ylabel('SalePrice', fontsize=14)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "daily",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}