Preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3d1dcee4",
   "metadata": {},
   "source": [
    "# 데이터 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "49b519e7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 12156 entries, 1 to 17784\n",
      "Data columns (total 39 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Name                12156 non-null  object \n",
      " 1   Type                12156 non-null  object \n",
      " 2   Build               12156 non-null  int64  \n",
      " 3   Dir                 12156 non-null  object \n",
      " 4   minArea             12156 non-null  float64\n",
      " 5   maxArea             12156 non-null  float64\n",
      " 6   representativeArea  12156 non-null  float64\n",
      " 7   floorAreaRatio      12156 non-null  int64  \n",
      " 8   minDeal             11687 non-null  float64\n",
      " 9   maxDeal             11687 non-null  float64\n",
      " 10  medianDeal          11687 non-null  float64\n",
      " 11  minLease            8442 non-null   float64\n",
      " 12  maxLease            8442 non-null   float64\n",
      " 13  medianLease         6677 non-null   float64\n",
      " 14  minDealUnit         11687 non-null  float64\n",
      " 15  maxDealUnit         11687 non-null  float64\n",
      " 16  medianDealUnit      11687 non-null  float64\n",
      " 17  minLeaseUnit        8442 non-null   float64\n",
      " 18  maxLeaseUnit        8442 non-null   float64\n",
      " 19  medianLeaseUnit     6677 non-null   float64\n",
      " 20  Lat                 12156 non-null  float64\n",
      " 21  Lon                 12156 non-null  float64\n",
      " 22  BUS                 12156 non-null  int64  \n",
      " 23  METRO               12156 non-null  int64  \n",
      " 24  INFANT              12156 non-null  int64  \n",
      " 25  PRESCHOOL           12156 non-null  int64  \n",
      " 26  HOSPITAL            12156 non-null  int64  \n",
      " 27  PARKING             12156 non-null  int64  \n",
      " 28  MART                12156 non-null  int64  \n",
      " 29  CONVENIENCE         12156 non-null  int64  \n",
      " 30  WASHING             12156 non-null  int64  \n",
      " 31  BANK                12156 non-null  int64  \n",
      " 32  OFFICE              12156 non-null  int64  \n",
      " 33  PRI_SCHOOL          12156 non-null  int64  \n",
      " 34  PUB_SCHOOL          12156 non-null  int64  \n",
      " 35  Old                 12156 non-null  int64  \n",
      " 36  sector              12156 non-null  object \n",
      " 37  divisition          12156 non-null  object \n",
      " 38  city                12156 non-null  object \n",
      "dtypes: float64(17), int64(16), object(6)\n",
      "memory usage: 3.7+ MB\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import metrics\n",
    "\n",
    "# path = './seoul_house_price.csv'\n",
    "path = './s_h_p.csv'\n",
    "\n",
    "df = pd.read_csv(path)\n",
    "\n",
    "df = df[ df['Type'] == 'APT' ]\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "984f4e43",
   "metadata": {},
   "source": [
    "## Feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e836ed80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 12156 entries, 1 to 17784\n",
      "Data columns (total 20 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Type                12156 non-null  object \n",
      " 1   Dir                 12156 non-null  object \n",
      " 2   Old                 12156 non-null  int64  \n",
      " 3   sector              12156 non-null  object \n",
      " 4   divisition          12156 non-null  object \n",
      " 5   representativeArea  12156 non-null  float64\n",
      " 6   floorAreaRatio      12156 non-null  int64  \n",
      " 7   BUS                 12156 non-null  int64  \n",
      " 8   METRO               12156 non-null  int64  \n",
      " 9   INFANT              12156 non-null  int64  \n",
      " 10  PRESCHOOL           12156 non-null  int64  \n",
      " 11  HOSPITAL            12156 non-null  int64  \n",
      " 12  PARKING             12156 non-null  int64  \n",
      " 13  MART                12156 non-null  int64  \n",
      " 14  CONVENIENCE         12156 non-null  int64  \n",
      " 15  BANK                12156 non-null  int64  \n",
      " 16  OFFICE              12156 non-null  int64  \n",
      " 17  PRI_SCHOOL          12156 non-null  int64  \n",
      " 18  PUB_SCHOOL          12156 non-null  int64  \n",
      " 19  price               11687 non-null  float64\n",
      "dtypes: float64(2), int64(14), object(4)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "features = ['Type', 'Dir' ,'Old', 'sector', 'divisition', 'representativeArea', 'floorAreaRatio', 'BUS', 'METRO', 'INFANT', 'PRESCHOOL', 'HOSPITAL', 'PARKING', 'MART', 'CONVENIENCE', 'BANK', 'OFFICE', 'PRI_SCHOOL', 'PUB_SCHOOL']\n",
    "label = 'price'\n",
    "\n",
    "pre_df = df[features].copy()\n",
    "\n",
    "pre_df[label] = (df['minDeal'] + df['maxDeal']) / 2\n",
    "\n",
    "pre_df.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "016ed3e0",
   "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>Type</th>\n",
       "      <th>Dir</th>\n",
       "      <th>Old</th>\n",
       "      <th>sector</th>\n",
       "      <th>divisition</th>\n",
       "      <th>representativeArea</th>\n",
       "      <th>floorAreaRatio</th>\n",
       "      <th>BUS</th>\n",
       "      <th>METRO</th>\n",
       "      <th>INFANT</th>\n",
       "      <th>PRESCHOOL</th>\n",
       "      <th>HOSPITAL</th>\n",
       "      <th>PARKING</th>\n",
       "      <th>MART</th>\n",
       "      <th>CONVENIENCE</th>\n",
       "      <th>BANK</th>\n",
       "      <th>OFFICE</th>\n",
       "      <th>PRI_SCHOOL</th>\n",
       "      <th>PUB_SCHOOL</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>APT</td>\n",
       "      <td>EE</td>\n",
       "      <td>2006</td>\n",
       "      <td>가락동</td>\n",
       "      <td>송파구</td>\n",
       "      <td>182.0</td>\n",
       "      <td>545.0</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>33</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>159000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>APT</td>\n",
       "      <td>EE</td>\n",
       "      <td>2018</td>\n",
       "      <td>가락동</td>\n",
       "      <td>송파구</td>\n",
       "      <td>110.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>306750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>APT</td>\n",
       "      <td>EE</td>\n",
       "      <td>2001</td>\n",
       "      <td>가락동</td>\n",
       "      <td>송파구</td>\n",
       "      <td>141.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>227500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>APT</td>\n",
       "      <td>EE</td>\n",
       "      <td>1997</td>\n",
       "      <td>가락동</td>\n",
       "      <td>송파구</td>\n",
       "      <td>81.0</td>\n",
       "      <td>343.0</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>167500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>APT</td>\n",
       "      <td>EE</td>\n",
       "      <td>2004</td>\n",
       "      <td>가락동</td>\n",
       "      <td>송파구</td>\n",
       "      <td>35.0</td>\n",
       "      <td>673.0</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>21750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10894</th>\n",
       "      <td>APT</td>\n",
       "      <td>SS</td>\n",
       "      <td>1994</td>\n",
       "      <td>흥인동</td>\n",
       "      <td>중구</td>\n",
       "      <td>118.0</td>\n",
       "      <td>837.0</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>82500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10895</th>\n",
       "      <td>APT</td>\n",
       "      <td>SS</td>\n",
       "      <td>2014</td>\n",
       "      <td>흥인동</td>\n",
       "      <td>중구</td>\n",
       "      <td>163.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>202500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10896</th>\n",
       "      <td>APT</td>\n",
       "      <td>EN</td>\n",
       "      <td>2014</td>\n",
       "      <td>흥인동</td>\n",
       "      <td>중구</td>\n",
       "      <td>163.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>202500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10897</th>\n",
       "      <td>APT</td>\n",
       "      <td>NN</td>\n",
       "      <td>2016</td>\n",
       "      <td>흥인동</td>\n",
       "      <td>중구</td>\n",
       "      <td>29.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>25500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10898</th>\n",
       "      <td>APT</td>\n",
       "      <td>WN</td>\n",
       "      <td>2016</td>\n",
       "      <td>흥인동</td>\n",
       "      <td>중구</td>\n",
       "      <td>29.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>25500.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10899 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Type Dir   Old sector divisition  representativeArea  floorAreaRatio  \\\n",
       "0      APT  EE  2006    가락동        송파구               182.0           545.0   \n",
       "1      APT  EE  2018    가락동        송파구               110.0           285.0   \n",
       "2      APT  EE  2001    가락동        송파구               141.0           299.0   \n",
       "3      APT  EE  1997    가락동        송파구                81.0           343.0   \n",
       "4      APT  EE  2004    가락동        송파구                35.0           673.0   \n",
       "...    ...  ..   ...    ...        ...                 ...             ...   \n",
       "10894  APT  SS  1994    흥인동         중구               118.0           837.0   \n",
       "10895  APT  SS  2014    흥인동         중구               163.0           696.0   \n",
       "10896  APT  EN  2014    흥인동         중구               163.0           696.0   \n",
       "10897  APT  NN  2016    흥인동         중구                29.0           799.0   \n",
       "10898  APT  WN  2016    흥인동         중구                29.0           799.0   \n",
       "\n",
       "       BUS  METRO  INFANT  PRESCHOOL  HOSPITAL  PARKING  MART  CONVENIENCE  \\\n",
       "0       18      3       8          1         1       14     2           33   \n",
       "1        9      1       9          0         0        8     1            9   \n",
       "2       15      1       9          1         0        7     3           24   \n",
       "3       20      1      16          3         1        1     2           19   \n",
       "4       18      3       9          1         1       16     2           30   \n",
       "...    ...    ...     ...        ...       ...      ...   ...          ...   \n",
       "10894   15      2       5          1         2       48     0           40   \n",
       "10895   16      2       6          2         2       43     2           41   \n",
       "10896   16      2       6          2         2       43     2           41   \n",
       "10897   15      2       4          1         2       48     0           38   \n",
       "10898   15      2       4          1         2       48     0           38   \n",
       "\n",
       "       BANK  OFFICE  PRI_SCHOOL  PUB_SCHOOL     price  \n",
       "0        20       1           0           1  159000.0  \n",
       "1         9       1           0           1  306750.0  \n",
       "2        18       1           0           2  227500.0  \n",
       "3        10       2           0           2  167500.0  \n",
       "4        23       1           0           1   21750.0  \n",
       "...     ...     ...         ...         ...       ...  \n",
       "10894    27      12           0           1   82500.0  \n",
       "10895    25      13           0           1  202500.0  \n",
       "10896    25      13           0           1  202500.0  \n",
       "10897    26      12           0           1   25500.0  \n",
       "10898    26      12           0           1   25500.0  \n",
       "\n",
       "[10899 rows x 20 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#floorAreaRatio - 0 : missing value\n",
    "\n",
    "drops = ['representativeArea', 'floorAreaRatio', label]\n",
    "\n",
    "for dr in drops:\n",
    "    pre_df.loc[:,dr] = pre_df[dr].copy().apply(lambda x : None if x == 0 else x)\n",
    "pre_df.dropna(inplace=True)\n",
    "pre_df.reset_index(drop=True, inplace=True)\n",
    "pre_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e1670a81",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#True false\n",
    "def to_binominal(x):\n",
    "    return 1 if x > 0 else 0\n",
    "\n",
    "binomial_header = ['BUS', 'METRO', 'INFANT', 'PRESCHOOL', 'HOSPITAL', 'PARKING', 'MART', 'CONVENIENCE', 'BANK', 'OFFICE', 'PRI_SCHOOL', 'PUB_SCHOOL']\n",
    "\n",
    "for head in binomial_header:\n",
    "    pre_df.loc[:,head] = pre_df[head].copy().apply(to_binominal)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7491b0c4",
   "metadata": {},
   "source": [
    "## Outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "79f955f1",
   "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>Old</th>\n",
       "      <th>representativeArea</th>\n",
       "      <th>floorAreaRatio</th>\n",
       "      <th>BUS</th>\n",
       "      <th>METRO</th>\n",
       "      <th>INFANT</th>\n",
       "      <th>PRESCHOOL</th>\n",
       "      <th>HOSPITAL</th>\n",
       "      <th>PARKING</th>\n",
       "      <th>MART</th>\n",
       "      <th>CONVENIENCE</th>\n",
       "      <th>BANK</th>\n",
       "      <th>OFFICE</th>\n",
       "      <th>PRI_SCHOOL</th>\n",
       "      <th>PUB_SCHOOL</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.0</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "      <td>10656.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2004.567943</td>\n",
       "      <td>96.113739</td>\n",
       "      <td>327.601445</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.496152</td>\n",
       "      <td>0.989396</td>\n",
       "      <td>0.798048</td>\n",
       "      <td>0.242117</td>\n",
       "      <td>0.947823</td>\n",
       "      <td>0.843750</td>\n",
       "      <td>0.999437</td>\n",
       "      <td>0.960304</td>\n",
       "      <td>0.892361</td>\n",
       "      <td>0.220252</td>\n",
       "      <td>0.643581</td>\n",
       "      <td>121468.350601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.172219</td>\n",
       "      <td>37.050214</td>\n",
       "      <td>168.381237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.500009</td>\n",
       "      <td>0.102435</td>\n",
       "      <td>0.401475</td>\n",
       "      <td>0.428385</td>\n",
       "      <td>0.222395</td>\n",
       "      <td>0.363109</td>\n",
       "      <td>0.023723</td>\n",
       "      <td>0.195253</td>\n",
       "      <td>0.309938</td>\n",
       "      <td>0.414436</td>\n",
       "      <td>0.478963</td>\n",
       "      <td>74668.805021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1970.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.0</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6500.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1999.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>235.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71250.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2004.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>273.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>105000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2011.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>356.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>155000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2022.000000</td>\n",
       "      <td>336.000000</td>\n",
       "      <td>1249.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>420000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Old  representativeArea  floorAreaRatio      BUS  \\\n",
       "count  10656.000000        10656.000000    10656.000000  10656.0   \n",
       "mean    2004.567943           96.113739      327.601445      1.0   \n",
       "std        9.172219           37.050214      168.381237      0.0   \n",
       "min     1970.000000           15.000000       12.000000      1.0   \n",
       "25%     1999.000000           79.000000      235.000000      1.0   \n",
       "50%     2004.000000          102.000000      273.000000      1.0   \n",
       "75%     2011.000000          110.000000      356.000000      1.0   \n",
       "max     2022.000000          336.000000     1249.000000      1.0   \n",
       "\n",
       "              METRO        INFANT     PRESCHOOL      HOSPITAL       PARKING  \\\n",
       "count  10656.000000  10656.000000  10656.000000  10656.000000  10656.000000   \n",
       "mean       0.496152      0.989396      0.798048      0.242117      0.947823   \n",
       "std        0.500009      0.102435      0.401475      0.428385      0.222395   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      1.000000      1.000000      0.000000      1.000000   \n",
       "50%        0.000000      1.000000      1.000000      0.000000      1.000000   \n",
       "75%        1.000000      1.000000      1.000000      0.000000      1.000000   \n",
       "max        1.000000      1.000000      1.000000      1.000000      1.000000   \n",
       "\n",
       "               MART   CONVENIENCE          BANK        OFFICE    PRI_SCHOOL  \\\n",
       "count  10656.000000  10656.000000  10656.000000  10656.000000  10656.000000   \n",
       "mean       0.843750      0.999437      0.960304      0.892361      0.220252   \n",
       "std        0.363109      0.023723      0.195253      0.309938      0.414436   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        1.000000      1.000000      1.000000      1.000000      0.000000   \n",
       "50%        1.000000      1.000000      1.000000      1.000000      0.000000   \n",
       "75%        1.000000      1.000000      1.000000      1.000000      0.000000   \n",
       "max        1.000000      1.000000      1.000000      1.000000      1.000000   \n",
       "\n",
       "         PUB_SCHOOL          price  \n",
       "count  10656.000000   10656.000000  \n",
       "mean       0.643581  121468.350601  \n",
       "std        0.478963   74668.805021  \n",
       "min        0.000000    6500.000000  \n",
       "25%        0.000000   71250.000000  \n",
       "50%        1.000000  105000.000000  \n",
       "75%        1.000000  155000.000000  \n",
       "max        1.000000  420000.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def remove_out(dataframe, remove_col):\n",
    "    dff = dataframe\n",
    "    for k in remove_col:\n",
    "        level_1q = dff[k].quantile(0.25)\n",
    "        level_3q = dff[k].quantile(0.75)\n",
    "        IQR = level_3q - level_1q\n",
    "        rev_range = 3  # 제거 범위 조절 변수\n",
    "        dff = dff[(dff[k] <= level_3q + (rev_range * IQR)) & (dff[k] >= level_1q - (rev_range * IQR))]\n",
    "        dff = dff.reset_index(drop=True)\n",
    "    return dff\n",
    "\n",
    "\n",
    "pre_df = remove_out(pre_df, [label])\n",
    "\n",
    "pre_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2117bf55",
   "metadata": {},
   "source": [
    "## Scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e4a1f887",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Old</th>\n",
       "      <th colspan=\"2\" halign=\"left\">representativeArea</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">PUB_SCHOOL</th>\n",
       "      <th colspan=\"8\" halign=\"left\">price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>...</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dir</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>EE</th>\n",
       "      <td>1758.0</td>\n",
       "      <td>2003.997156</td>\n",
       "      <td>8.965722</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>1758.0</td>\n",
       "      <td>94.746871</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1758.0</td>\n",
       "      <td>116954.274744</td>\n",
       "      <td>70573.866651</td>\n",
       "      <td>8700.0</td>\n",
       "      <td>71312.5</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>149000.0</td>\n",
       "      <td>420000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EN</th>\n",
       "      <td>420.0</td>\n",
       "      <td>2008.514286</td>\n",
       "      <td>8.685559</td>\n",
       "      <td>1982.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>83.930952</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>109231.404762</td>\n",
       "      <td>82797.401217</td>\n",
       "      <td>6500.0</td>\n",
       "      <td>43687.5</td>\n",
       "      <td>92375.0</td>\n",
       "      <td>151750.0</td>\n",
       "      <td>415000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>2156.0</td>\n",
       "      <td>2004.334879</td>\n",
       "      <td>9.198210</td>\n",
       "      <td>1971.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>2156.0</td>\n",
       "      <td>97.721707</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2156.0</td>\n",
       "      <td>125101.083024</td>\n",
       "      <td>71714.901016</td>\n",
       "      <td>8700.0</td>\n",
       "      <td>77500.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>420000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NN</th>\n",
       "      <td>295.0</td>\n",
       "      <td>2007.522034</td>\n",
       "      <td>8.936588</td>\n",
       "      <td>1983.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>76.650847</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>100788.016949</td>\n",
       "      <td>89016.400802</td>\n",
       "      <td>9350.0</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>70800.0</td>\n",
       "      <td>141250.0</td>\n",
       "      <td>415000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SS</th>\n",
       "      <td>3068.0</td>\n",
       "      <td>2003.646675</td>\n",
       "      <td>8.969153</td>\n",
       "      <td>1971.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>3068.0</td>\n",
       "      <td>100.165254</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3068.0</td>\n",
       "      <td>124450.563559</td>\n",
       "      <td>75362.781629</td>\n",
       "      <td>8700.0</td>\n",
       "      <td>74375.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>157500.0</td>\n",
       "      <td>420000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WN</th>\n",
       "      <td>349.0</td>\n",
       "      <td>2007.409742</td>\n",
       "      <td>9.681183</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>91.303725</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>121464.169054</td>\n",
       "      <td>85850.837468</td>\n",
       "      <td>10250.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>166500.0</td>\n",
       "      <td>415000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WS</th>\n",
       "      <td>1787.0</td>\n",
       "      <td>2004.742026</td>\n",
       "      <td>9.324740</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>1787.0</td>\n",
       "      <td>98.019026</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1787.0</td>\n",
       "      <td>126131.306659</td>\n",
       "      <td>71275.846574</td>\n",
       "      <td>8700.0</td>\n",
       "      <td>78500.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>157500.0</td>\n",
       "      <td>420000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WW</th>\n",
       "      <td>823.0</td>\n",
       "      <td>2005.176185</td>\n",
       "      <td>9.063540</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>823.0</td>\n",
       "      <td>90.814095</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>823.0</td>\n",
       "      <td>114011.628190</td>\n",
       "      <td>77579.597704</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>63250.0</td>\n",
       "      <td>95000.0</td>\n",
       "      <td>146250.0</td>\n",
       "      <td>415000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 128 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Old                                                                 \\\n",
       "      count         mean       std     min     25%     50%     75%     max   \n",
       "Dir                                                                          \n",
       "EE   1758.0  2003.997156  8.965722  1970.0  1998.0  2003.0  2010.0  2022.0   \n",
       "EN    420.0  2008.514286  8.685559  1982.0  2002.0  2008.0  2016.0  2022.0   \n",
       "ES   2156.0  2004.334879  9.198210  1971.0  1999.0  2004.0  2011.0  2022.0   \n",
       "NN    295.0  2007.522034  8.936588  1983.0  2001.0  2006.0  2015.0  2022.0   \n",
       "SS   3068.0  2003.646675  8.969153  1971.0  1998.0  2003.0  2009.0  2022.0   \n",
       "WN    349.0  2007.409742  9.681183  1972.0  2001.0  2007.0  2016.0  2022.0   \n",
       "WS   1787.0  2004.742026  9.324740  1972.0  1999.0  2004.0  2012.0  2022.0   \n",
       "WW    823.0  2005.176185  9.063540  1970.0  1999.0  2004.0  2013.0  2022.0   \n",
       "\n",
       "    representativeArea              ... PUB_SCHOOL        price  \\\n",
       "                 count        mean  ...        75%  max   count   \n",
       "Dir                                 ...                           \n",
       "EE              1758.0   94.746871  ...        1.0  1.0  1758.0   \n",
       "EN               420.0   83.930952  ...        1.0  1.0   420.0   \n",
       "ES              2156.0   97.721707  ...        1.0  1.0  2156.0   \n",
       "NN               295.0   76.650847  ...        1.0  1.0   295.0   \n",
       "SS              3068.0  100.165254  ...        1.0  1.0  3068.0   \n",
       "WN               349.0   91.303725  ...        1.0  1.0   349.0   \n",
       "WS              1787.0   98.019026  ...        1.0  1.0  1787.0   \n",
       "WW               823.0   90.814095  ...        1.0  1.0   823.0   \n",
       "\n",
       "                                                                        \\\n",
       "              mean           std      min      25%       50%       75%   \n",
       "Dir                                                                      \n",
       "EE   116954.274744  70573.866651   8700.0  71312.5  101500.0  149000.0   \n",
       "EN   109231.404762  82797.401217   6500.0  43687.5   92375.0  151750.0   \n",
       "ES   125101.083024  71714.901016   8700.0  77500.0  111500.0  156500.0   \n",
       "NN   100788.016949  89016.400802   9350.0  33000.0   70800.0  141250.0   \n",
       "SS   124450.563559  75362.781629   8700.0  74375.0  105500.0  157500.0   \n",
       "WN   121464.169054  85850.837468  10250.0  52500.0  107000.0  166500.0   \n",
       "WS   126131.306659  71275.846574   8700.0  78500.0  113500.0  157500.0   \n",
       "WW   114011.628190  77579.597704   8000.0  63250.0   95000.0  146250.0   \n",
       "\n",
       "               \n",
       "          max  \n",
       "Dir            \n",
       "EE   420000.0  \n",
       "EN   415000.0  \n",
       "ES   420000.0  \n",
       "NN   415000.0  \n",
       "SS   420000.0  \n",
       "WN   415000.0  \n",
       "WS   420000.0  \n",
       "WW   415000.0  \n",
       "\n",
       "[8 rows x 128 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(30,30)})\n",
    "# res = sns.heatmap(pre_df.corr().round(2), square=True, cmap='RdYlGn', annot=True, annot_kws={\"size\": 20})\n",
    "\n",
    "# res.set_yticklabels(res.get_ymajorticklabels(), fontsize = 15)\n",
    "# res.set_xticklabels(res.get_xmajorticklabels(), fontsize = 15)\n",
    "\n",
    "dir_df = pre_df.groupby(by='Dir')\n",
    "\n",
    "dir_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1a40e0d",
   "metadata": {},
   "source": [
    "## 방향에 따른 가격"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "aeeaeea7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/y8/ldvzwhm13037mvvt3p2d9n0m0000gn/T/ipykernel_20744/2072173632.py:8: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_yticklabels(ylabels)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0, 85000.0, '8.50억'),\n",
       " Text(0, 90000.0, '9.00억'),\n",
       " Text(0, 95000.0, '9.50억'),\n",
       " Text(0, 100000.0, '10.00억'),\n",
       " Text(0, 105000.0, '10.50억'),\n",
       " Text(0, 110000.0, '11.00억'),\n",
       " Text(0, 115000.0, '11.50억'),\n",
       " Text(0, 120000.0, '12.00억'),\n",
       " Text(0, 125000.0, '12.50억'),\n",
       " Text(0, 130000.0, '13.00억'),\n",
       " Text(0, 135000.0, '13.50억')]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale = 2) \n",
    "plt.rcParams['font.family'] = 'AppleGothic'\n",
    "ax = sns.lineplot(x='Dir', y = label, data=pre_df)\n",
    "ylabels = ['{:.2f}'.format(x) + '억' for x in ax.get_yticks() / 10000]\n",
    "#remove '구'\n",
    "# xlabels = [x for x in ax.get_xticks()]\n",
    "# ax.set_xticklabels(xlabels)\n",
    "ax.set_yticklabels(ylabels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7702f538",
   "metadata": {},
   "source": [
    "## 구에 따른 가격"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7b3921dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/y8/ldvzwhm13037mvvt3p2d9n0m0000gn/T/ipykernel_20744/881668789.py:5: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_yticklabels(ylabels)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0, 40000.0, '4억'),\n",
       " Text(0, 60000.0, '6억'),\n",
       " Text(0, 80000.0, '8억'),\n",
       " Text(0, 100000.0, '10억'),\n",
       " Text(0, 120000.0, '12억'),\n",
       " Text(0, 140000.0, '14억'),\n",
       " Text(0, 160000.0, '16억'),\n",
       " Text(0, 180000.0, '18억'),\n",
       " Text(0, 200000.0, '20억'),\n",
       " Text(0, 220000.0, '22억'),\n",
       " Text(0, 240000.0, '24억')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale = 2) \n",
    "plt.rcParams['font.family'] = 'AppleGothic'\n",
    "ax = sns.lineplot(x='divisition', y = label, data=pre_df)\n",
    "ylabels = ['{:.0f}'.format(x) + '억' for x in ax.get_yticks() / 10000]\n",
    "ax.set_yticklabels(ylabels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d73d58cf",
   "metadata": {},
   "source": [
    "## 역세권"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c18469e2",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/y8/ldvzwhm13037mvvt3p2d9n0m0000gn/T/ipykernel_20744/3169877294.py:5: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_yticklabels(ylabels)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0, -50000.0, '-5억'),\n",
       " Text(0, 0.0, '0억'),\n",
       " Text(0, 50000.0, '5억'),\n",
       " Text(0, 100000.0, '10억'),\n",
       " Text(0, 150000.0, '15억'),\n",
       " Text(0, 200000.0, '20억'),\n",
       " Text(0, 250000.0, '25억'),\n",
       " Text(0, 300000.0, '30억'),\n",
       " Text(0, 350000.0, '35억'),\n",
       " Text(0, 400000.0, '40억'),\n",
       " Text(0, 450000.0, '45억')]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale = 2) \n",
    "plt.rcParams['font.family'] = 'AppleGothic'\n",
    "ax = sns.boxplot(x='METRO', y = label, data=pre_df.sample(1000))\n",
    "ylabels = ['{:.0f}'.format(x) + '억' for x in ax.get_yticks() / 10000]\n",
    "ax.set_yticklabels(ylabels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "403fcc0b",
   "metadata": {},
   "source": [
    "## 연식에 따른 차이"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "67e22345",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/y8/ldvzwhm13037mvvt3p2d9n0m0000gn/T/ipykernel_20744/1776368074.py:6: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_yticklabels(ylabels)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, '71'),\n",
       " Text(1, 0, '78'),\n",
       " Text(2, 0, '82'),\n",
       " Text(3, 0, '83'),\n",
       " Text(4, 0, '84'),\n",
       " Text(5, 0, '85'),\n",
       " Text(6, 0, '86'),\n",
       " Text(7, 0, '87'),\n",
       " Text(8, 0, '88'),\n",
       " Text(9, 0, '89'),\n",
       " Text(10, 0, '90'),\n",
       " Text(11, 0, '91'),\n",
       " Text(12, 0, '92'),\n",
       " Text(13, 0, '93'),\n",
       " Text(14, 0, '94'),\n",
       " Text(15, 0, '95'),\n",
       " Text(16, 0, '96'),\n",
       " Text(17, 0, '97'),\n",
       " Text(18, 0, '98'),\n",
       " Text(19, 0, '99'),\n",
       " Text(20, 0, '00'),\n",
       " Text(21, 0, '01'),\n",
       " Text(22, 0, '02'),\n",
       " Text(23, 0, '03'),\n",
       " Text(24, 0, '04'),\n",
       " Text(25, 0, '05'),\n",
       " Text(26, 0, '06'),\n",
       " Text(27, 0, '07'),\n",
       " Text(28, 0, '08'),\n",
       " Text(29, 0, '09'),\n",
       " Text(30, 0, '10'),\n",
       " Text(31, 0, '11'),\n",
       " Text(32, 0, '12'),\n",
       " Text(33, 0, '13'),\n",
       " Text(34, 0, '14'),\n",
       " Text(35, 0, '15'),\n",
       " Text(36, 0, '16'),\n",
       " Text(37, 0, '17'),\n",
       " Text(38, 0, '18'),\n",
       " Text(39, 0, '19'),\n",
       " Text(40, 0, '20'),\n",
       " Text(41, 0, '21'),\n",
       " Text(42, 0, '22')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale = 2) \n",
    "plt.rcParams['font.family'] = 'AppleGothic'\n",
    "ax = sns.boxplot(x='Old', y = label, data=pre_df.sample(1000))\n",
    "ylabels = ['{:.0f}'.format(x) + '억' for x in ax.get_yticks() / 10000]\n",
    "xlabels = [x._text[2:] for x in ax.get_xticklabels()]\n",
    "ax.set_yticklabels(ylabels)\n",
    "ax.set_xticklabels(xlabels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0977a9f7",
   "metadata": {},
   "source": [
    "## Label Encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a93a6aea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Type                  0\n",
       "Dir                   0\n",
       "Old                   0\n",
       "sector                0\n",
       "divisition            0\n",
       "representativeArea    0\n",
       "floorAreaRatio        0\n",
       "BUS                   0\n",
       "METRO                 0\n",
       "INFANT                0\n",
       "PRESCHOOL             0\n",
       "HOSPITAL              0\n",
       "PARKING               0\n",
       "MART                  0\n",
       "CONVENIENCE           0\n",
       "BANK                  0\n",
       "OFFICE                0\n",
       "PRI_SCHOOL            0\n",
       "PUB_SCHOOL            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "def labelencoder(df):                                     #It convert the catorigcal and string data into numerical values to \n",
    "    encoders = {}\n",
    "    i = 0\n",
    "    for c in df.columns:      #interperate easily.\n",
    "        encoders[i] = None\n",
    "        if df[c].dtype=='object': \n",
    "            df[c] = df[c].fillna('N')\n",
    "            lbl = LabelEncoder()\n",
    "            lbl.fit(list(df[c].values))\n",
    "            df[c] = lbl.transform(df[c].values)\n",
    "            encoders[i] = lbl\n",
    "        i += 1\n",
    "    return df, encoders\n",
    "\n",
    "label_df = pre_df[label]\n",
    "\n",
    "feature_df, encoders = labelencoder(pre_df[features].copy())\n",
    "\n",
    "feature_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cebdbf39",
   "metadata": {},
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1381821f",
   "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>Type</th>\n",
       "      <th>Dir</th>\n",
       "      <th>Old</th>\n",
       "      <th>sector</th>\n",
       "      <th>divisition</th>\n",
       "      <th>representativeArea</th>\n",
       "      <th>floorAreaRatio</th>\n",
       "      <th>BUS</th>\n",
       "      <th>METRO</th>\n",
       "      <th>INFANT</th>\n",
       "      <th>PRESCHOOL</th>\n",
       "      <th>HOSPITAL</th>\n",
       "      <th>PARKING</th>\n",
       "      <th>MART</th>\n",
       "      <th>CONVENIENCE</th>\n",
       "      <th>BANK</th>\n",
       "      <th>OFFICE</th>\n",
       "      <th>PRI_SCHOOL</th>\n",
       "      <th>PUB_SCHOOL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2006</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>182.0</td>\n",
       "      <td>545.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>110.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2001</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>141.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1997</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>81.0</td>\n",
       "      <td>343.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2004</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>35.0</td>\n",
       "      <td>673.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10651</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1994</td>\n",
       "      <td>282</td>\n",
       "      <td>23</td>\n",
       "      <td>118.0</td>\n",
       "      <td>837.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10652</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "      <td>282</td>\n",
       "      <td>23</td>\n",
       "      <td>163.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10653</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2014</td>\n",
       "      <td>282</td>\n",
       "      <td>23</td>\n",
       "      <td>163.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10654</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2016</td>\n",
       "      <td>282</td>\n",
       "      <td>23</td>\n",
       "      <td>29.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10655</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2016</td>\n",
       "      <td>282</td>\n",
       "      <td>23</td>\n",
       "      <td>29.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10656 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Type  Dir   Old  sector  divisition  representativeArea  \\\n",
       "0         0    0  2006       0          17               182.0   \n",
       "1         0    0  2018       0          17               110.0   \n",
       "2         0    0  2001       0          17               141.0   \n",
       "3         0    0  1997       0          17                81.0   \n",
       "4         0    0  2004       0          17                35.0   \n",
       "...     ...  ...   ...     ...         ...                 ...   \n",
       "10651     0    4  1994     282          23               118.0   \n",
       "10652     0    4  2014     282          23               163.0   \n",
       "10653     0    1  2014     282          23               163.0   \n",
       "10654     0    3  2016     282          23                29.0   \n",
       "10655     0    5  2016     282          23                29.0   \n",
       "\n",
       "       floorAreaRatio  BUS  METRO  INFANT  PRESCHOOL  HOSPITAL  PARKING  MART  \\\n",
       "0               545.0    1      1       1          1         1        1     1   \n",
       "1               285.0    1      1       1          0         0        1     1   \n",
       "2               299.0    1      1       1          1         0        1     1   \n",
       "3               343.0    1      1       1          1         1        1     1   \n",
       "4               673.0    1      1       1          1         1        1     1   \n",
       "...               ...  ...    ...     ...        ...       ...      ...   ...   \n",
       "10651           837.0    1      1       1          1         1        1     0   \n",
       "10652           696.0    1      1       1          1         1        1     1   \n",
       "10653           696.0    1      1       1          1         1        1     1   \n",
       "10654           799.0    1      1       1          1         1        1     0   \n",
       "10655           799.0    1      1       1          1         1        1     0   \n",
       "\n",
       "       CONVENIENCE  BANK  OFFICE  PRI_SCHOOL  PUB_SCHOOL  \n",
       "0                1     1       1           0           1  \n",
       "1                1     1       1           0           1  \n",
       "2                1     1       1           0           1  \n",
       "3                1     1       1           0           1  \n",
       "4                1     1       1           0           1  \n",
       "...            ...   ...     ...         ...         ...  \n",
       "10651            1     1       1           0           1  \n",
       "10652            1     1       1           0           1  \n",
       "10653            1     1       1           0           1  \n",
       "10654            1     1       1           0           1  \n",
       "10655            1     1       1           0           1  \n",
       "\n",
       "[10656 rows x 19 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from  sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(feature_df, label_df, test_size=0.2)\n",
    "\n",
    "feature_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d1002f73",
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating a object\n",
    "LR_Model = LinearRegression()\n",
    "LR_Model.fit(x_train, y_train)\n",
    "pred = LR_Model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "57c5b671",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 40301.573263839986\n",
      "MSE: 3128894739.548697\n",
      "RMSE: 55936.52419974535\n"
     ]
    }
   ],
   "source": [
    "print('MAE:', metrics.mean_absolute_error(y_test, pred))\n",
    "print('MSE:', metrics.mean_squared_error(y_test, pred))\n",
    "print('RMSE:', np.sqrt(metrics.mean_squared_error(y_test, pred)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a8ed8e8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def encode(value, encoder, delta = 0):\n",
    "    for i in range(len(value)):\n",
    "        if i + delta < 0 : continue\n",
    "        \n",
    "        if encoder[i + delta] != None:\n",
    "            value[i] = encoder[i + delta].transform([value[i]])[0]\n",
    "    return value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d4eb42c7",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "y contains previously unseen labels: 'OPST'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/_encode.py\u001b[0m in \u001b[0;36m_encode\u001b[0;34m(values, uniques, check_unknown)\u001b[0m\n\u001b[1;32m    177\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 178\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0m_map_to_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muniques\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    179\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/_encode.py\u001b[0m in \u001b[0;36m_map_to_integer\u001b[0;34m(values, uniques)\u001b[0m\n\u001b[1;32m    122\u001b[0m     \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_nandict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muniques\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 123\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/_encode.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    122\u001b[0m     \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_nandict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muniques\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 123\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/_encode.py\u001b[0m in \u001b[0;36m__missing__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    116\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnan_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 117\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    118\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: 'OPST'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/y8/ldvzwhm13037mvvt3p2d9n0m0000gn/T/ipykernel_20744/153099683.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'OPST'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'WS'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2022\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'대치동'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'강남구'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m103\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m237\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoders\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mLR_Model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/y8/ldvzwhm13037mvvt3p2d9n0m0000gn/T/ipykernel_20744/868949808.py\u001b[0m in \u001b[0;36mencode\u001b[0;34m(value, encoder, delta)\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mencoder\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mdelta\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m             \u001b[0mvalue\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mencoder\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mdelta\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/preprocessing/_label.py\u001b[0m in \u001b[0;36mtransform\u001b[0;34m(self, y)\u001b[0m\n\u001b[1;32m    136\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    137\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 138\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_encode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muniques\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclasses_\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    139\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0minverse_transform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.9/site-packages/sklearn/utils/_encode.py\u001b[0m in \u001b[0;36m_encode\u001b[0;34m(values, uniques, check_unknown)\u001b[0m\n\u001b[1;32m    178\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0m_map_to_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muniques\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"y contains previously unseen labels: {str(e)}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    181\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcheck_unknown\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: y contains previously unseen labels: 'OPST'"
     ]
    }
   ],
   "source": [
    "value = encode(['OPST', 'WS', 2022, '대치동', '강남구', 103, 237, True, False, True, True, False, True, True, True, True, True, True, True], encoders)\n",
    "\n",
    "LR_Model.predict([value])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fdea30f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
    "sns.heatmap(pre_df.corr().round(2), square=True, cmap='RdYlGn', annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "775290e8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Type 0.0000\n",
      "Dir 0.0021\n",
      "Old 0.0925\n",
      "sector 0.0530\n",
      "divisition 0.2581\n",
      "representativeArea 0.4830\n",
      "floorAreaRatio 0.0654\n",
      "BUS 0.0000\n",
      "METRO 0.0084\n",
      "INFANT 0.0008\n",
      "PRESCHOOL 0.0052\n",
      "HOSPITAL 0.0064\n",
      "PARKING 0.0017\n",
      "MART 0.0041\n",
      "CONVENIENCE 0.0000\n",
      "BANK 0.0015\n",
      "OFFICE 0.0036\n",
      "PRI_SCHOOL 0.0044\n",
      "PUB_SCHOOL 0.0099\n",
      "RMSE: 14592.16114748061\n",
      "value  [206216.66666667]\n"
     ]
    }
   ],
   "source": [
    "value = encode(['APT', 'WS', 2000, '대치동', '강남구', 120, 100, False, False, False, False, False, False, False, False, False, False, False, False], encoders)\n",
    "from sklearn import metrics\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "#트리가 10개일때, 20일때, 30일때, 40일때\n",
    "\n",
    "model = RandomForestRegressor(n_estimators = 30, random_state = 15)\n",
    "model.fit(x_train, y_train)\n",
    "for item in enumerate(feature_df.columns):\n",
    "    print(item[1], \"%.4f\" % (model.feature_importances_[item[0]]))\n",
    "pred = model.predict(x_test)\n",
    "print('RMSE:', np.sqrt(metrics.mean_squared_error(y_test, pred)))\n",
    "print('value ', model.predict([value]))\n",
    "# for i in (10, 20, 30, 40):\n",
    "#     model = RandomForestRegressor(n_estimators = i, random_state = 15)\n",
    "#     model.fit(x_train, y_train)\n",
    "    \n",
    "#     print(model.feature_importances_)\n",
    "#     pred = model.predict(x_test)\n",
    "#     print('RMSE:', np.sqrt(metrics.mean_squared_error(y_test, pred)))\n",
    "# #     print('value ', model.predict([value]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f4d6c3a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}