used_car_final_Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 인도 중고차 데이터 EDA 및 시각화 파트 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0. 패키지 및 데이터 불러오기 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd  # pandas 패키지 불러오기 \n",
    "pd.set_option('display.max_columns', None)  # 데이터 프레임 모든 열 표시\n",
    "\n",
    "import matplotlib.pyplot as plt  # matplotlib 패키지 불러오기\n",
    "import seaborn as sns      # seaborn 패키지 불러오기 \n",
    "import math                # 원할한 함수 사용을 위해 math 패키지 불러오기 \n",
    "import warnings       # 경고표시 나오지 않게 하는 warnings 패키지 불러오기 \n",
    "warnings.filterwarnings(action='ignore')     # 경고표시 설정 : \"무시\"\n",
    "\n",
    "# 한글 설정\n",
    "from matplotlib import rc   \n",
    "plt.rcParams['axes.unicode_minus'] = False   # 그래프 한글 설정을 위해 matplotlib에서 rc 불러오기 (한글 깨짐 현상을 막아줌)\n",
    "\n",
    "# 폰트설정(시스템에 따라 다르게 설정 window = malgun, mac = AppleGothic)\n",
    "import platform\n",
    "if platform.system() == 'Windows':\n",
    "    path = \"c:/Windows/Fonts/malgun.ttf\"\n",
    "    font_name = font_manager.FontProperties(fname=path).get_name()\n",
    "    rc('font', family=font_name)\n",
    "elif platform.system() == 'Darwin':\n",
    "    rc('font', family='AppleGothic')\n",
    "elif platform.system() == 'Linux':\n",
    "    rc('font', family='NanumBarunGothic')\n",
    "else:\n",
    "    print('Unknown system... sorry~~')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 주의 : 파이차트 시각화를 위해 패키지 설치 (원할한 시각화를 나타내기 위해 0.5.8 버전으로 설치해야함)\n",
    "# pip install pyecharts==0.5.8 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터 불러오기 \n",
    "car_t = pd.read_csv('./train_data_r.csv') # 엔진, 파워 ,시트의 결측값을 직접 채운 파일 \n",
    "car_tr = pd.read_csv('./train_data_n.csv') # cr단위 변환 # 직접 채우지 않은 파일"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 데이터 전처리 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1-1 데이터와 결측치 확인 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6019 entries, 0 to 6018\n",
      "Data columns (total 14 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Unnamed: 0         6019 non-null   int64  \n",
      " 1   Name               6019 non-null   object \n",
      " 2   Location           6019 non-null   object \n",
      " 3   Year               6019 non-null   int64  \n",
      " 4   Kilometers_Driven  6019 non-null   int64  \n",
      " 5   Fuel_Type          6019 non-null   object \n",
      " 6   Transmission       6019 non-null   object \n",
      " 7   Owner_Type         6019 non-null   object \n",
      " 8   Mileage            6017 non-null   object \n",
      " 9   Engine             5983 non-null   object \n",
      " 10  Power              5983 non-null   object \n",
      " 11  Seats              5977 non-null   float64\n",
      " 12  New_Price          824 non-null    object \n",
      " 13  Price              6019 non-null   float64\n",
      "dtypes: float64(2), int64(3), object(9)\n",
      "memory usage: 658.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# 데이터 확인\n",
    "car_tr.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 681,
       "width": 1492
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# car_tr(cr단위로 변환한, 결측치 데이터를 채우지 않은 데이터) 데이터 결측치 확인 \n",
    "import missingno\n",
    "missingno.matrix(car_tr)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- car_tr(원본데이터)의 데이터를 살펴보면 Engine, Power, Seats에 결측치가 존재 함."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6019 entries, 0 to 6018\n",
      "Data columns (total 14 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Unnamed: 0         6019 non-null   int64  \n",
      " 1   Name               6019 non-null   object \n",
      " 2   Location           6019 non-null   object \n",
      " 3   Year               6019 non-null   int64  \n",
      " 4   Kilometers_Driven  6019 non-null   int64  \n",
      " 5   Fuel_Type          6019 non-null   object \n",
      " 6   Transmission       6019 non-null   object \n",
      " 7   Owner_Type         6019 non-null   object \n",
      " 8   Mileage            6017 non-null   object \n",
      " 9   Engine             6019 non-null   object \n",
      " 10  Power              6019 non-null   object \n",
      " 11  Seats              6019 non-null   int64  \n",
      " 12  New_Price          824 non-null    object \n",
      " 13  Price              6019 non-null   float64\n",
      "dtypes: float64(1), int64(4), object(9)\n",
      "memory usage: 658.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# 데이터(결측치를 수잡하여 채운 데이터) 확인 \n",
    "car_t.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0              0\n",
       "Name                    0\n",
       "Location                0\n",
       "Year                    0\n",
       "Kilometers_Driven       0\n",
       "Fuel_Type               0\n",
       "Transmission            0\n",
       "Owner_Type              0\n",
       "Mileage                 2\n",
       "Engine                  0\n",
       "Power                   0\n",
       "Seats                   0\n",
       "New_Price            5195\n",
       "Price                   0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 결측치 확인 (car_t)\n",
    "car_t.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- car_t(결측치를 채운 데이터)데이터를 보면 수기로 채워 Engine, Power, Seats의 결측치를 채움"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# New_price에서 결측치를 0 Lakh로 채워 넣기\n",
    "car_t['New_Price'] = car_t['New_Price'].fillna('0 Lakh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Unnamed: 0</th>\n",
       "      <th>Name</th>\n",
       "      <th>Location</th>\n",
       "      <th>Year</th>\n",
       "      <th>Kilometers_Driven</th>\n",
       "      <th>Fuel_Type</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Owner_Type</th>\n",
       "      <th>Mileage</th>\n",
       "      <th>Engine</th>\n",
       "      <th>Power</th>\n",
       "      <th>Seats</th>\n",
       "      <th>New_Price</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4446</th>\n",
       "      <td>4446</td>\n",
       "      <td>Mahindra E Verito D4</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>2016</td>\n",
       "      <td>50000</td>\n",
       "      <td>Electric</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>First</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72 CC</td>\n",
       "      <td>41 bhp</td>\n",
       "      <td>5</td>\n",
       "      <td>13.58 Lakh</td>\n",
       "      <td>13.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4904</th>\n",
       "      <td>4904</td>\n",
       "      <td>Toyota Prius 2009-2016 Z4</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2011</td>\n",
       "      <td>44000</td>\n",
       "      <td>Electric</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>First</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1798 CC</td>\n",
       "      <td>73 bhp</td>\n",
       "      <td>5</td>\n",
       "      <td>0 Lakh</td>\n",
       "      <td>12.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0                       Name Location  Year  Kilometers_Driven  \\\n",
       "4446        4446       Mahindra E Verito D4  Chennai  2016              50000   \n",
       "4904        4904  Toyota Prius 2009-2016 Z4   Mumbai  2011              44000   \n",
       "\n",
       "     Fuel_Type Transmission Owner_Type Mileage   Engine   Power  Seats  \\\n",
       "4446  Electric    Automatic      First     NaN    72 CC  41 bhp      5   \n",
       "4904  Electric    Automatic      First     NaN  1798 CC  73 bhp      5   \n",
       "\n",
       "       New_Price  Price  \n",
       "4446  13.58 Lakh  13.00  \n",
       "4904      0 Lakh  12.75  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mileage null값 확인 (총 2개의 null 값이 확인 되었음. 확인결과 전기차)\n",
    "car_t[car_t['Mileage'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fuel Type 별 시각화\n",
    "fuel = pd.DataFrame(car_t['Fuel_Type'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"81e6259e4d8948a59795730e1e2eae8b\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_81e6259e4d8948a59795730e1e2eae8b = echarts.init(document.getElementById('81e6259e4d8948a59795730e1e2eae8b'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_81e6259e4d8948a59795730e1e2eae8b = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Fuel_Type\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 4608654,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"Diesel\",\n",
       "                    \"value\": 3205.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Petrol\",\n",
       "                    \"value\": 2746.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"CNG\",\n",
       "                    \"value\": 56.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"LPG\",\n",
       "                    \"value\": 10.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Electric\",\n",
       "                    \"value\": 2.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"50%\",\n",
       "                \"80%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"roseType\": \"radius\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"outside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                }\n",
       "            },\n",
       "            \"seriesId\": 4608654\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Diesel\",\n",
       "                \"Petrol\",\n",
       "                \"CNG\",\n",
       "                \"LPG\",\n",
       "                \"Electric\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": false,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_81e6259e4d8948a59795730e1e2eae8b.setOption(option_81e6259e4d8948a59795730e1e2eae8b);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.pie.Pie at 0x7fa58ac30e80>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Pie\n",
    "\n",
    "keys = list(fuel[\"Fuel_Type\"].keys())\n",
    "values = list(fuel[\"Fuel_Type\"].values)\n",
    "\n",
    "pie = Pie(\"Fuel_Type\")\n",
    "pie.add(\"\", keys, values, is_randome=True, radius=[50, 80], rosetype='radius', is_legend_show=False,\n",
    "       is_label_show=True)\n",
    "\n",
    "pie"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Fuel Type 별로 데이터 확인 \n",
    "- Diesel : 53.25%, Petrol : 45.62%, CNG: 0.93%, CNG : 0.93%, LPG : 0.17%, Electric : 0.03%\n",
    "- 전기차는 거래량도 적고, 연비정보도 없기에 해당 데이터 삭제(drop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mileage null값 제거\n",
    "car_t = car_t.drop([4446, 4904])\n",
    "car_t.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 필요없는 컬럼 'Unnamed: 0' 제거 \n",
    "car_t.drop(['Unnamed: 0'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 단위제거 함수\n",
    "def get_split(data, column, new):\n",
    "\n",
    "    ls1 = data[column]\n",
    "    ls2 = []\n",
    "    for i in range(0,len(data)):\n",
    "        ls2.append(ls1[i].split(' ')[0])\n",
    "        \n",
    "    data[new] = ls2\n",
    "    print(new)\n",
    "    \n",
    "def get_split2(data, column, new):\n",
    "\n",
    "    ls1 = data[column]\n",
    "    ls2 = []\n",
    "    for i in range(0,len(data)):\n",
    "        ls2.append(ls1.str.split(' ', n=1)[i][1])\n",
    "        \n",
    "    data[new] = ls2\n",
    "    print(new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Brand\n",
      "Car_name\n",
      "Mile\n",
      "Eng\n",
      "Pow\n",
      "New_p\n"
     ]
    }
   ],
   "source": [
    "# 단위제거 완료\n",
    "get_split(car_t, 'Name', 'Brand')\n",
    "get_split2(car_t, 'Name', 'Car_name')\n",
    "get_split(car_t, 'Mileage', 'Mile')\n",
    "get_split(car_t, 'Engine', 'Eng')\n",
    "get_split(car_t, 'Power', 'Pow')\n",
    "get_split(car_t, 'New_Price', 'New_p')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 연비, 베기량, 마력, 신차가격 형변환 (범주형 -> 수치형)\n",
    "car_t[['Mile', 'Eng', 'Pow', 'New_p']] = car_t[['Mile', 'Eng', 'Pow', 'New_p']].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 중복된 브랜드 (ISUZU와 Isuzu)를 Isuzu로 하나로 합치기 \n",
    "car_t['Brand'][car_t['Brand'] == 'ISUZU'] = 'Isuzu'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6017 entries, 0 to 6016\n",
      "Data columns (total 19 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Name               6017 non-null   object \n",
      " 1   Location           6017 non-null   object \n",
      " 2   Year               6017 non-null   int64  \n",
      " 3   Kilometers_Driven  6017 non-null   int64  \n",
      " 4   Fuel_Type          6017 non-null   object \n",
      " 5   Transmission       6017 non-null   object \n",
      " 6   Owner_Type         6017 non-null   object \n",
      " 7   Mileage            6017 non-null   object \n",
      " 8   Engine             6017 non-null   object \n",
      " 9   Power              6017 non-null   object \n",
      " 10  Seats              6017 non-null   int64  \n",
      " 11  New_Price          6017 non-null   object \n",
      " 12  Price              6017 non-null   float64\n",
      " 13  Brand              6017 non-null   object \n",
      " 14  Car_name           6017 non-null   object \n",
      " 15  Mile               6017 non-null   float64\n",
      " 16  Eng                6017 non-null   float64\n",
      " 17  Pow                6017 non-null   float64\n",
      " 18  New_p              6017 non-null   float64\n",
      "dtypes: float64(5), int64(3), object(11)\n",
      "memory usage: 893.3+ KB\n"
     ]
    }
   ],
   "source": [
    "# 전처리 한 car_t 데이터 최종 확인 \n",
    "car_t.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 681,
       "width": 1492
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# car_t의 결측치 확인 \n",
    "missingno.matrix(car_t)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 결측지 모두 제거 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. EDA "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2-1 Brand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "brand = car_t.groupby(by=['Brand'], as_index=True).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"07f298194b544c528ce0ac541f2c38e4\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_07f298194b544c528ce0ac541f2c38e4 = echarts.init(document.getElementById('07f298194b544c528ce0ac541f2c38e4'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_07f298194b544c528ce0ac541f2c38e4 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Brand Count \",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 3014920,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"Ambassador\",\n",
       "                    \"value\": 1.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Audi\",\n",
       "                    \"value\": 236.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"BMW\",\n",
       "                    \"value\": 267.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Bentley\",\n",
       "                    \"value\": 1.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Chevrolet\",\n",
       "                    \"value\": 121.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Datsun\",\n",
       "                    \"value\": 13.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Fiat\",\n",
       "                    \"value\": 28.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Force\",\n",
       "                    \"value\": 3.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Ford\",\n",
       "                    \"value\": 300.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Honda\",\n",
       "                    \"value\": 608.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Hyundai\",\n",
       "                    \"value\": 1107.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Isuzu\",\n",
       "                    \"value\": 3.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Jaguar\",\n",
       "                    \"value\": 40.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Jeep\",\n",
       "                    \"value\": 15.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Lamborghini\",\n",
       "                    \"value\": 1.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Land\",\n",
       "                    \"value\": 60.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Mahindra\",\n",
       "                    \"value\": 271.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Maruti\",\n",
       "                    \"value\": 1211.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Mercedes-Benz\",\n",
       "                    \"value\": 318.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Mini\",\n",
       "                    \"value\": 26.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Mitsubishi\",\n",
       "                    \"value\": 27.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Nissan\",\n",
       "                    \"value\": 91.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Porsche\",\n",
       "                    \"value\": 18.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Renault\",\n",
       "                    \"value\": 145.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Skoda\",\n",
       "                    \"value\": 173.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Smart\",\n",
       "                    \"value\": 1.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Tata\",\n",
       "                    \"value\": 186.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Toyota\",\n",
       "                    \"value\": 410.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Volkswagen\",\n",
       "                    \"value\": 315.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Volvo\",\n",
       "                    \"value\": 21.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"40%\",\n",
       "                \"80%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"outside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                }\n",
       "            },\n",
       "            \"seriesId\": 3014920\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Ambassador\",\n",
       "                \"Audi\",\n",
       "                \"BMW\",\n",
       "                \"Bentley\",\n",
       "                \"Chevrolet\",\n",
       "                \"Datsun\",\n",
       "                \"Fiat\",\n",
       "                \"Force\",\n",
       "                \"Ford\",\n",
       "                \"Honda\",\n",
       "                \"Hyundai\",\n",
       "                \"Isuzu\",\n",
       "                \"Jaguar\",\n",
       "                \"Jeep\",\n",
       "                \"Lamborghini\",\n",
       "                \"Land\",\n",
       "                \"Mahindra\",\n",
       "                \"Maruti\",\n",
       "                \"Mercedes-Benz\",\n",
       "                \"Mini\",\n",
       "                \"Mitsubishi\",\n",
       "                \"Nissan\",\n",
       "                \"Porsche\",\n",
       "                \"Renault\",\n",
       "                \"Skoda\",\n",
       "                \"Smart\",\n",
       "                \"Tata\",\n",
       "                \"Toyota\",\n",
       "                \"Volkswagen\",\n",
       "                \"Volvo\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": false,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"vertical\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_07f298194b544c528ce0ac541f2c38e4.setOption(option_07f298194b544c528ce0ac541f2c38e4);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.pie.Pie at 0x7fa58aff60d0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Pie\n",
    "\n",
    "key = list(brand['Name'].index)\n",
    "value = list(brand['Name'].values.round())\n",
    "\n",
    "pie = Pie(\"Brand Count \")\n",
    "pie.add(\"\", key, value, radius=[40, 80], label_text_color=None, is_label_show=True,\n",
    "        is_legend_show=False, legend_orient='vertical')\n",
    "\n",
    "pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Brand Top 10 \n",
    "brand_10 = pd.DataFrame(car_t['Brand'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"b9d188be2684491abb50d8336c644426\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_b9d188be2684491abb50d8336c644426 = echarts.init(document.getElementById('b9d188be2684491abb50d8336c644426'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_b9d188be2684491abb50d8336c644426 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Brand Top 10 \",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 3024274,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"Maruti\",\n",
       "                    \"value\": 1211.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Hyundai\",\n",
       "                    \"value\": 1107.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Honda\",\n",
       "                    \"value\": 608.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Toyota\",\n",
       "                    \"value\": 410.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Mercedes-Benz\",\n",
       "                    \"value\": 318.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Volkswagen\",\n",
       "                    \"value\": 315.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Ford\",\n",
       "                    \"value\": 300.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Mahindra\",\n",
       "                    \"value\": 271.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"BMW\",\n",
       "                    \"value\": 267.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Audi\",\n",
       "                    \"value\": 236.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"50%\",\n",
       "                \"90%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"roseType\": \"radius\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"outside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                }\n",
       "            },\n",
       "            \"seriesId\": 3024274\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Maruti\",\n",
       "                \"Hyundai\",\n",
       "                \"Honda\",\n",
       "                \"Toyota\",\n",
       "                \"Mercedes-Benz\",\n",
       "                \"Volkswagen\",\n",
       "                \"Ford\",\n",
       "                \"Mahindra\",\n",
       "                \"BMW\",\n",
       "                \"Audi\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": false,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_b9d188be2684491abb50d8336c644426.setOption(option_b9d188be2684491abb50d8336c644426);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.pie.Pie at 0x7fa5a46a8e20>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key = list(brand_10[\"Brand\"][:10].keys())\n",
    "value = list(brand_10[\"Brand\"][:10].values)\n",
    "\n",
    "pie = Pie(\"Brand Top 10 \")\n",
    "pie.add(\"\", key, value, is_randome=True, radius=[50, 90], rosetype='radius', is_legend_show=False,\n",
    "       is_label_show=True)\n",
    "\n",
    "pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 브랜드별 가격\n",
    "brand = car_t.groupby(by=['Brand'], as_index=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"790b0cfee62d4fadbca7737fa84f76ed\" style=\"width:1300px;height:600px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_790b0cfee62d4fadbca7737fa84f76ed = echarts.init(document.getElementById('790b0cfee62d4fadbca7737fa84f76ed'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_790b0cfee62d4fadbca7737fa84f76ed = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Price by Brand\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 4209953,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Mean Pricer\",\n",
       "            \"data\": [\n",
       "                1.0,\n",
       "                26.0,\n",
       "                25.0,\n",
       "                59.0,\n",
       "                3.0,\n",
       "                3.0,\n",
       "                3.0,\n",
       "                9.0,\n",
       "                7.0,\n",
       "                5.0,\n",
       "                5.0,\n",
       "                15.0,\n",
       "                38.0,\n",
       "                19.0,\n",
       "                120.0,\n",
       "                39.0,\n",
       "                8.0,\n",
       "                5.0,\n",
       "                27.0,\n",
       "                27.0,\n",
       "                11.0,\n",
       "                5.0,\n",
       "                48.0,\n",
       "                6.0,\n",
       "                8.0,\n",
       "                3.0,\n",
       "                4.0,\n",
       "                12.0,\n",
       "                5.0,\n",
       "                19.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"seriesId\": 4209953\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Mean Pricer\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Ambassador\",\n",
       "                \"Audi\",\n",
       "                \"BMW\",\n",
       "                \"Bentley\",\n",
       "                \"Chevrolet\",\n",
       "                \"Datsun\",\n",
       "                \"Fiat\",\n",
       "                \"Force\",\n",
       "                \"Ford\",\n",
       "                \"Honda\",\n",
       "                \"Hyundai\",\n",
       "                \"Isuzu\",\n",
       "                \"Jaguar\",\n",
       "                \"Jeep\",\n",
       "                \"Lamborghini\",\n",
       "                \"Land\",\n",
       "                \"Mahindra\",\n",
       "                \"Maruti\",\n",
       "                \"Mercedes-Benz\",\n",
       "                \"Mini\",\n",
       "                \"Mitsubishi\",\n",
       "                \"Nissan\",\n",
       "                \"Porsche\",\n",
       "                \"Renault\",\n",
       "                \"Skoda\",\n",
       "                \"Smart\",\n",
       "                \"Tata\",\n",
       "                \"Toyota\",\n",
       "                \"Volkswagen\",\n",
       "                \"Volvo\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_790b0cfee62d4fadbca7737fa84f76ed.setOption(option_790b0cfee62d4fadbca7737fa84f76ed);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa5a41446a0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Bar, Line, Overlap\n",
    "\n",
    "key = list(brand['Price'].index)\n",
    "value = list(brand['Price'].values.round())\n",
    "\n",
    "bar = Bar(\"Price by Brand\")\n",
    "bar.add(\"Mean Pricer\", key, value)\n",
    "\n",
    "bar.height = 600\n",
    "bar.width = 1300\n",
    "\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 브랜드별 가격 평균을 보니 람보르기니가 가장 높게 나온다. (참고로 람보르기니의 판매건은 1건이다)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2-2 연도별 분포 \n",
    "- 두 가지버전 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 연도별 분포 그래프 1\n",
    "year = pd.DataFrame(car_t['Year'].value_counts()).sort_index() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"6742153a64d84b8888cd8e3cf6284ad7\" style=\"width:1200px;height:600px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_6742153a64d84b8888cd8e3cf6284ad7 = echarts.init(document.getElementById('6742153a64d84b8888cd8e3cf6284ad7'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_6742153a64d84b8888cd8e3cf6284ad7 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Car count in Year\",\n",
       "            \"subtext\": \"1999\\ub144 ~ 2019\\ub144\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 1471727,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"count\",\n",
       "            \"data\": [\n",
       "                4.0,\n",
       "                2.0,\n",
       "                4.0,\n",
       "                8.0,\n",
       "                15.0,\n",
       "                17.0,\n",
       "                31.0,\n",
       "                57.0,\n",
       "                78.0,\n",
       "                125.0,\n",
       "                174.0,\n",
       "                198.0,\n",
       "                342.0,\n",
       "                465.0,\n",
       "                580.0,\n",
       "                649.0,\n",
       "                797.0,\n",
       "                744.0,\n",
       "                740.0,\n",
       "                587.0,\n",
       "                298.0,\n",
       "                102.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"type\": \"max\",\n",
       "                        \"name\": \"Maximum\",\n",
       "                        \"symbol\": \"pin\",\n",
       "                        \"symbolSize\": 50,\n",
       "                        \"label\": {\n",
       "                            \"normal\": {\n",
       "                                \"textStyle\": {\n",
       "                                    \"color\": \"#fff\"\n",
       "                                }\n",
       "                            }\n",
       "                        }\n",
       "                    },\n",
       "                    {\n",
       "                        \"type\": \"min\",\n",
       "                        \"name\": \"Minimum\",\n",
       "                        \"symbol\": \"pin\",\n",
       "                        \"symbolSize\": 50,\n",
       "                        \"label\": {\n",
       "                            \"normal\": {\n",
       "                                \"textStyle\": {\n",
       "                                    \"color\": \"#fff\"\n",
       "                                }\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "                ]\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"type\": \"average\",\n",
       "                        \"name\": \"mean-Value\"\n",
       "                    }\n",
       "                ],\n",
       "                \"symbolSize\": 10\n",
       "            },\n",
       "            \"seriesId\": 1471727\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"count\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                1998,\n",
       "                1999,\n",
       "                2000,\n",
       "                2001,\n",
       "                2002,\n",
       "                2003,\n",
       "                2004,\n",
       "                2005,\n",
       "                2006,\n",
       "                2007,\n",
       "                2008,\n",
       "                2009,\n",
       "                2010,\n",
       "                2011,\n",
       "                2012,\n",
       "                2013,\n",
       "                2014,\n",
       "                2015,\n",
       "                2016,\n",
       "                2017,\n",
       "                2018,\n",
       "                2019\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_6742153a64d84b8888cd8e3cf6284ad7.setOption(option_6742153a64d84b8888cd8e3cf6284ad7);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa58aff47f0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Bar, Line, Overlap\n",
    "\n",
    "key = list(year[\"Year\"].keys())\n",
    "value = list(year[\"Year\"].values)\n",
    "\n",
    "bar =Bar(\"Car count in Year\", \"1999년 ~ 2019년\")\n",
    "bar.add(\"count\", key, value, mark_line=[\"average\"], mark_point=[\"max\", \"min\"])\n",
    "\n",
    "bar.height = 600\n",
    "bar.width = 1200\n",
    "\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 중고차 거래가 가장 활발한 년도는 797건으로 2014녀도이고, 가장 적은 년도는 2건으로 1999년도 이다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"a7387d362cfd4f3289d066ec671ae2fa\" style=\"width:1200px;height:600px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_a7387d362cfd4f3289d066ec671ae2fa = echarts.init(document.getElementById('a7387d362cfd4f3289d066ec671ae2fa'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_a7387d362cfd4f3289d066ec671ae2fa = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Car count in Year\",\n",
       "            \"subtext\": \"1999 ~ 2019\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 8120329,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Year\",\n",
       "            \"data\": [\n",
       "                4.0,\n",
       "                2.0,\n",
       "                4.0,\n",
       "                8.0,\n",
       "                15.0,\n",
       "                17.0,\n",
       "                31.0,\n",
       "                57.0,\n",
       "                78.0,\n",
       "                125.0,\n",
       "                174.0,\n",
       "                198.0,\n",
       "                342.0,\n",
       "                465.0,\n",
       "                580.0,\n",
       "                649.0,\n",
       "                797.0,\n",
       "                744.0,\n",
       "                740.0,\n",
       "                587.0,\n",
       "                298.0,\n",
       "                102.0\n",
       "            ],\n",
       "            \"stack\": \"stack_8120329\",\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"seriesId\": 8120329\n",
       "        },\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Count\",\n",
       "            \"data\": [\n",
       "                4.0,\n",
       "                2.0,\n",
       "                4.0,\n",
       "                8.0,\n",
       "                15.0,\n",
       "                17.0,\n",
       "                31.0,\n",
       "                57.0,\n",
       "                78.0,\n",
       "                125.0,\n",
       "                174.0,\n",
       "                198.0,\n",
       "                342.0,\n",
       "                465.0,\n",
       "                580.0,\n",
       "                649.0,\n",
       "                797.0,\n",
       "                744.0,\n",
       "                740.0,\n",
       "                587.0,\n",
       "                298.0,\n",
       "                102.0\n",
       "            ],\n",
       "            \"stack\": \"stack_8120329\",\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"inside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"seriesId\": 8120329\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Year\",\n",
       "                \"Count\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                1998,\n",
       "                1999,\n",
       "                2000,\n",
       "                2001,\n",
       "                2002,\n",
       "                2003,\n",
       "                2004,\n",
       "                2005,\n",
       "                2006,\n",
       "                2007,\n",
       "                2008,\n",
       "                2009,\n",
       "                2010,\n",
       "                2011,\n",
       "                2012,\n",
       "                2013,\n",
       "                2014,\n",
       "                2015,\n",
       "                2016,\n",
       "                2017,\n",
       "                2018,\n",
       "                2019\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"rgba(0,0,0,0)\",\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_a7387d362cfd4f3289d066ec671ae2fa.setOption(option_a7387d362cfd4f3289d066ec671ae2fa);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa58affee20>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 연도별 분포 그래프 2\n",
    "from pyecharts import Bar\n",
    "\n",
    "key = list(year[\"Year\"].keys())\n",
    "value = list(year[\"Year\"].values)\n",
    "value2 = list(year[\"Year\"].values)\n",
    "bar = Bar(\"Car count in Year\", \"1999 ~ 2019\")\n",
    "# the first add() legend to be transparent, ie 'rgba(0,0,0,0)', and set the is_stack flag is True\n",
    "bar.add(\"Year\", key, value, label_color=['rgba(0,0,0,0)'], is_stack=True)\n",
    "bar.add(\"Count\", key, value2, is_label_show=True, is_stack=True, label_pos='inside')\n",
    "\n",
    "bar.height = 600\n",
    "bar.width = 1200\n",
    "bar.render()\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2-3 지역별 분포 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 지역별 분포 \n",
    "location = pd.DataFrame(car_t['Location'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"b46842ce4ca540bfad5e2382ac8e612f\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_b46842ce4ca540bfad5e2382ac8e612f = echarts.init(document.getElementById('b46842ce4ca540bfad5e2382ac8e612f'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_b46842ce4ca540bfad5e2382ac8e612f = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Location\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 7048027,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"Mumbai\",\n",
       "                    \"value\": 789.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Hyderabad\",\n",
       "                    \"value\": 742.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Kochi\",\n",
       "                    \"value\": 651.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Coimbatore\",\n",
       "                    \"value\": 636.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Pune\",\n",
       "                    \"value\": 622.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Delhi\",\n",
       "                    \"value\": 554.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Kolkata\",\n",
       "                    \"value\": 535.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Chennai\",\n",
       "                    \"value\": 493.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Jaipur\",\n",
       "                    \"value\": 413.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Bangalore\",\n",
       "                    \"value\": 358.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Ahmedabad\",\n",
       "                    \"value\": 224.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"50%\",\n",
       "                \"90%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"roseType\": \"radius\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"outside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                }\n",
       "            },\n",
       "            \"seriesId\": 7048027\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Mumbai\",\n",
       "                \"Hyderabad\",\n",
       "                \"Kochi\",\n",
       "                \"Coimbatore\",\n",
       "                \"Pune\",\n",
       "                \"Delhi\",\n",
       "                \"Kolkata\",\n",
       "                \"Chennai\",\n",
       "                \"Jaipur\",\n",
       "                \"Bangalore\",\n",
       "                \"Ahmedabad\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": false,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_b46842ce4ca540bfad5e2382ac8e612f.setOption(option_b46842ce4ca540bfad5e2382ac8e612f);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.pie.Pie at 0x7fa58ac30910>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = list(location[\"Location\"].keys())\n",
    "values = list(location[\"Location\"].values)\n",
    "\n",
    "pie = Pie(\"Location\")\n",
    "pie.add(\"\", keys, values, is_randome=True, radius=[50, 90], rosetype='radius', is_legend_show=False,\n",
    "       is_label_show=True)\n",
    "\n",
    "pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 지역별 가격표\n",
    "location = car_t.groupby(by=['Location'], as_index=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"7a98a646b33044faa9f142276a66b976\" style=\"width:1200px;height:600px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_7a98a646b33044faa9f142276a66b976 = echarts.init(document.getElementById('7a98a646b33044faa9f142276a66b976'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_7a98a646b33044faa9f142276a66b976 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Used car price by region\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 1967227,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Price\",\n",
       "            \"data\": [\n",
       "                8.0,\n",
       "                13.0,\n",
       "                8.0,\n",
       "                15.0,\n",
       "                10.0,\n",
       "                10.0,\n",
       "                6.0,\n",
       "                11.0,\n",
       "                6.0,\n",
       "                9.0,\n",
       "                7.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"type\": \"max\",\n",
       "                        \"name\": \"Maximum\",\n",
       "                        \"symbol\": \"pin\",\n",
       "                        \"symbolSize\": 50,\n",
       "                        \"label\": {\n",
       "                            \"normal\": {\n",
       "                                \"textStyle\": {\n",
       "                                    \"color\": \"#fff\"\n",
       "                                }\n",
       "                            }\n",
       "                        }\n",
       "                    },\n",
       "                    {\n",
       "                        \"type\": \"min\",\n",
       "                        \"name\": \"Minimum\",\n",
       "                        \"symbol\": \"pin\",\n",
       "                        \"symbolSize\": 50,\n",
       "                        \"label\": {\n",
       "                            \"normal\": {\n",
       "                                \"textStyle\": {\n",
       "                                    \"color\": \"#fff\"\n",
       "                                }\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "                ]\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": [\n",
       "                    {\n",
       "                        \"type\": \"average\",\n",
       "                        \"name\": \"mean-Value\"\n",
       "                    }\n",
       "                ],\n",
       "                \"symbolSize\": 10\n",
       "            },\n",
       "            \"seriesId\": 1967227\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Price\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Ahmedabad\",\n",
       "                \"Bangalore\",\n",
       "                \"Chennai\",\n",
       "                \"Coimbatore\",\n",
       "                \"Delhi\",\n",
       "                \"Hyderabad\",\n",
       "                \"Jaipur\",\n",
       "                \"Kochi\",\n",
       "                \"Kolkata\",\n",
       "                \"Mumbai\",\n",
       "                \"Pune\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_7a98a646b33044faa9f142276a66b976.setOption(option_7a98a646b33044faa9f142276a66b976);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa58ac30700>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key = list(location['Price'].index)\n",
    "value = list(location['Price'].values.round())\n",
    "\n",
    "bar =Bar(\"Used car price by region\")\n",
    "bar.add(\"Price\", key, value, mark_line=[\"average\"], mark_point=[\"max\", \"min\"])\n",
    "\n",
    "bar.height = 600\n",
    "bar.width = 1200\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2-4 변속기 타입 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 변속기 타입 그래프 1\n",
    "tr = pd.DataFrame(car_t['Transmission'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"e46c3bffe7904cf59c0d5de16e743d05\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_e46c3bffe7904cf59c0d5de16e743d05 = echarts.init(document.getElementById('e46c3bffe7904cf59c0d5de16e743d05'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_e46c3bffe7904cf59c0d5de16e743d05 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Transmission\",\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 6490778,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"Manual\",\n",
       "                    \"value\": 4299.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Automatic\",\n",
       "                    \"value\": 1718.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"50%\",\n",
       "                \"90%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"outside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                }\n",
       "            },\n",
       "            \"seriesId\": 6490778\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Manual\",\n",
       "                \"Automatic\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"left\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"vertical\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_e46c3bffe7904cf59c0d5de16e743d05.setOption(option_e46c3bffe7904cf59c0d5de16e743d05);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.pie.Pie at 0x7fa5974aad60>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = list(tr['Transmission'].keys())\n",
    "values = list(tr['Transmission'].values)\n",
    "\n",
    "pie = Pie(\"Transmission\", title_pos='center')\n",
    "pie.add(\"\", keys, values, is_randome=True, radius=[50, 90], label_text_color=None, is_label_show=True,\n",
    "        legend_orient='vertical', legend_pos='left')\n",
    "\n",
    "\n",
    "pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"eb4b0cb2fd3f40afa52cfd9e89157214\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_eb4b0cb2fd3f40afa52cfd9e89157214 = echarts.init(document.getElementById('eb4b0cb2fd3f40afa52cfd9e89157214'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_eb4b0cb2fd3f40afa52cfd9e89157214 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Transmission\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 3536458,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"formatter\": \"{a} <br/>{b} : {c}%\",\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"gauge\",\n",
       "            \"detail\": {\n",
       "                \"formatter\": \"{value}%\"\n",
       "            },\n",
       "            \"min\": 0,\n",
       "            \"max\": 100,\n",
       "            \"startAngle\": 180,\n",
       "            \"endAngle\": 0,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"value\": 71.45,\n",
       "                    \"name\": \"Manual Ratio\"\n",
       "                }\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": false,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_eb4b0cb2fd3f40afa52cfd9e89157214.setOption(option_eb4b0cb2fd3f40afa52cfd9e89157214);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.gauge.Gauge at 0x7fa58aff48e0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 변속기 타입 그래프 2  - 수동 71.45% \n",
    "\n",
    "from pyecharts import Gauge\n",
    "\n",
    "gauge = Gauge(\"Transmission\")\n",
    "gauge.add(\"\", \"Manual Ratio\", 71.45, angle_range=[180, 0], scale_range=[0, 100], is_legend_show=False)\n",
    "gauge.render()\n",
    "gauge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"a2abcd22075c42b481210193f64d655e\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_a2abcd22075c42b481210193f64d655e = echarts.init(document.getElementById('a2abcd22075c42b481210193f64d655e'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_a2abcd22075c42b481210193f64d655e = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Transmission\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 2569659,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"formatter\": \"{a} <br/>{b} : {c}%\",\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"gauge\",\n",
       "            \"detail\": {\n",
       "                \"formatter\": \"{value}%\"\n",
       "            },\n",
       "            \"min\": 0,\n",
       "            \"max\": 100,\n",
       "            \"startAngle\": 180,\n",
       "            \"endAngle\": 0,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"value\": 28.55,\n",
       "                    \"name\": \"Auto Ratio\"\n",
       "                }\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": false,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_a2abcd22075c42b481210193f64d655e.setOption(option_a2abcd22075c42b481210193f64d655e);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.gauge.Gauge at 0x7fa5a46b2eb0>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 변속기 타입 그래프 2  - 자동 28.55% \n",
    "\n",
    "gauge = Gauge(\"Transmission\")\n",
    "gauge.add(\"\", \"Auto Ratio\", 28.55, angle_range=[180, 0], scale_range=[0, 100], is_legend_show=False)\n",
    "gauge.render()\n",
    "gauge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 지역별 가격표\n",
    "trp = car_t.groupby(by=['Transmission'], as_index=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"b62e487047ff4b1d9db09490e66cf833\" style=\"width:800px;height:500px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_b62e487047ff4b1d9db09490e66cf833 = echarts.init(document.getElementById('b62e487047ff4b1d9db09490e66cf833'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_b62e487047ff4b1d9db09490e66cf833 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 2323052,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Transsmmision Price\",\n",
       "            \"data\": [\n",
       "                20.0,\n",
       "                5.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"seriesId\": 2323052\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Transsmmision Price\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"Automatic\",\n",
       "                \"Manual\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_b62e487047ff4b1d9db09490e66cf833.setOption(option_b62e487047ff4b1d9db09490e66cf833);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa58ba02130>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key = list(trp['Price'].index)\n",
    "value = list(trp['Price'].values.round())\n",
    "\n",
    "bar = Bar()\n",
    "bar.add(\"Transsmmision Price\", key, value)\n",
    "\n",
    "bar.height = 500\n",
    "bar.width = 800\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 당연한 이야기지만 자동이 수동에 비해 가격이 높다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2-5. 오너 타입"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "owner = pd.DataFrame(car_t['Owner_Type'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"b46ecbdadfc842ada4b0ad2752219827\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_b46ecbdadfc842ada4b0ad2752219827 = echarts.init(document.getElementById('b46ecbdadfc842ada4b0ad2752219827'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_b46ecbdadfc842ada4b0ad2752219827 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Owner_Type\",\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 738141,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"First\",\n",
       "                    \"value\": 4927.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Second\",\n",
       "                    \"value\": 968.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Third\",\n",
       "                    \"value\": 113.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"Fourth & Above\",\n",
       "                    \"value\": 9.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"40%\",\n",
       "                \"80%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"outside\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"formatter\": \"{b}: {d}%\"\n",
       "                }\n",
       "            },\n",
       "            \"seriesId\": 738141\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"First\",\n",
       "                \"Second\",\n",
       "                \"Third\",\n",
       "                \"Fourth & Above\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"left\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"vertical\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_b46ecbdadfc842ada4b0ad2752219827.setOption(option_b46ecbdadfc842ada4b0ad2752219827);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.pie.Pie at 0x7fa58b9e5cd0>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = list(owner['Owner_Type'].keys())\n",
    "values = list(owner['Owner_Type'].values)\n",
    "\n",
    "pie = Pie(\"Owner_Type\", title_pos='center')\n",
    "pie.add(\"\", keys, values, radius=[40, 80], label_text_color=None, is_label_show=True,\n",
    "        legend_orient='vertical', legend_pos='left')\n",
    "\n",
    "pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 오너 타입별 가격\n",
    "owner = car_t.groupby(by=['Owner_Type'], as_index=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"77a6b9c0bb014eb5a8b3f37ca4228989\" style=\"width:800px;height:500px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_77a6b9c0bb014eb5a8b3f37ca4228989 = echarts.init(document.getElementById('77a6b9c0bb014eb5a8b3f37ca4228989'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_77a6b9c0bb014eb5a8b3f37ca4228989 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 3991791,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Price by Owner Type\",\n",
       "            \"data\": [\n",
       "                10.0,\n",
       "                3.0,\n",
       "                8.0,\n",
       "                5.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"seriesId\": 3991791\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Price by Owner Type\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"First\",\n",
       "                \"Fourth & Above\",\n",
       "                \"Second\",\n",
       "                \"Third\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_77a6b9c0bb014eb5a8b3f37ca4228989.setOption(option_77a6b9c0bb014eb5a8b3f37ca4228989);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa58b9e5730>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key = list(owner['Price'].index)\n",
    "value = list(owner['Price'].values.round())\n",
    "\n",
    "bar = Bar()\n",
    "bar.add(\"Price by Owner Type\", key, value)\n",
    "\n",
    "bar.height = 500\n",
    "bar.width = 800\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 대체적으로 첫번째 오너가 많다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2-6. 연료 타입 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "fuel = pd.DataFrame(car_t['Fuel_Type'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min', 'liquidfill': '/nbextensions/echarts/echarts-liquidfill.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"2b903f7041aa47f1a485b3e45f1c8233\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts', 'liquidfill'], function(echarts) {\n",
       "        \n",
       "var myChart_2b903f7041aa47f1a485b3e45f1c8233 = echarts.init(document.getElementById('2b903f7041aa47f1a485b3e45f1c8233'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_2b903f7041aa47f1a485b3e45f1c8233 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Diesel\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 2406890,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"liquidFill\",\n",
       "            \"name\": \"Liquid\",\n",
       "            \"data\": [\n",
       "                0.53,\n",
       "                0.43,\n",
       "                0.33,\n",
       "                0.23\n",
       "            ],\n",
       "            \"waveAnimation\": true,\n",
       "            \"animationDuration\": 2000,\n",
       "            \"animationDurationUpdate\": 1000,\n",
       "            \"color\": [\n",
       "                \"#294D99\",\n",
       "                \"#156ACF\",\n",
       "                \"#1598ED\",\n",
       "                \"#45BDFF\"\n",
       "            ],\n",
       "            \"shape\": \"circle\",\n",
       "            \"outline\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_2b903f7041aa47f1a485b3e45f1c8233.setOption(option_2b903f7041aa47f1a485b3e45f1c8233);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.liquid.Liquid at 0x7fa58ba02370>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Liquid\n",
    "\n",
    "# 디젤 - 53%\n",
    "liquid = Liquid(\"Diesel\")\n",
    "liquid.add(\"Liquid\", [0.53, 0.43, 0.33, 0.23])\n",
    "\n",
    "liquid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min', 'liquidfill': '/nbextensions/echarts/echarts-liquidfill.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"2bd95ccb262c46daa890ac0c7b4c3b9c\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts', 'liquidfill'], function(echarts) {\n",
       "        \n",
       "var myChart_2bd95ccb262c46daa890ac0c7b4c3b9c = echarts.init(document.getElementById('2bd95ccb262c46daa890ac0c7b4c3b9c'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_2bd95ccb262c46daa890ac0c7b4c3b9c = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Diesel\",\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 6838621,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"liquidFill\",\n",
       "            \"name\": \"Liquid\",\n",
       "            \"data\": [\n",
       "                0.46,\n",
       "                0.36,\n",
       "                0.26,\n",
       "                0.16\n",
       "            ],\n",
       "            \"waveAnimation\": true,\n",
       "            \"animationDuration\": 2000,\n",
       "            \"animationDurationUpdate\": 1000,\n",
       "            \"color\": [\n",
       "                \"#294D99\",\n",
       "                \"#156ACF\",\n",
       "                \"#1598ED\",\n",
       "                \"#45BDFF\"\n",
       "            ],\n",
       "            \"shape\": \"diamond\",\n",
       "            \"outline\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_2bd95ccb262c46daa890ac0c7b4c3b9c.setOption(option_2bd95ccb262c46daa890ac0c7b4c3b9c);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.liquid.Liquid at 0x7fa58b9e59a0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Petrol - 46%\n",
    "liquid = Liquid(\"Diesel\")\n",
    "liquid.add(\"Liquid\", [0.46, 0.36, 0.26, 0.16], shape='diamond')\n",
    "\n",
    "liquid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fuel 타입별 가격\n",
    "fuel = car_t.groupby(by=['Fuel_Type'], as_index=True).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"483e17b097394c9caeb5bfe6dc646073\" style=\"width:800px;height:500px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_483e17b097394c9caeb5bfe6dc646073 = echarts.init(document.getElementById('483e17b097394c9caeb5bfe6dc646073'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_483e17b097394c9caeb5bfe6dc646073 = {\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"left\": \"auto\",\n",
       "            \"top\": \"auto\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"show\": true,\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"top\": \"center\",\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        }\n",
       "    },\n",
       "    \"series_id\": 3431841,\n",
       "    \"tooltip\": {\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"Price by Fuel Type\",\n",
       "            \"data\": [\n",
       "                4.0,\n",
       "                13.0,\n",
       "                2.0,\n",
       "                6.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"normal\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                },\n",
       "                \"emphasis\": {\n",
       "                    \"show\": true,\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    }\n",
       "                }\n",
       "            },\n",
       "            \"markPoint\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"markLine\": {\n",
       "                \"data\": []\n",
       "            },\n",
       "            \"seriesId\": 3431841\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"Price by Fuel Type\"\n",
       "            ],\n",
       "            \"selectedMode\": \"multiple\",\n",
       "            \"show\": true,\n",
       "            \"left\": \"center\",\n",
       "            \"top\": \"top\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"category\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"CNG\",\n",
       "                \"Diesel\",\n",
       "                \"LPG\",\n",
       "                \"Petrol\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 25,\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"boundaryGap\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"axisLine\": {\n",
       "                \"lineStyle\": {\n",
       "                    \"width\": 1\n",
       "                }\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ]\n",
       "};\n",
       "myChart_483e17b097394c9caeb5bfe6dc646073.setOption(option_483e17b097394c9caeb5bfe6dc646073);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x7fa58aff4eb0>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key = list(fuel['Price'].index)\n",
    "value = list(fuel['Price'].values.round())\n",
    "\n",
    "bar = Bar()\n",
    "bar.add(\"Price by Fuel Type\", key, value)\n",
    "\n",
    "bar.height = 500\n",
    "bar.width = 800\n",
    "bar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 디젤이 가장 높다 \n",
    "- 참고로 인도는 가격이 저렴한 디젤 모델의 사용이 가장 높다. 이유는 가격이 저렴해서이고, 인도 정부에서 환경에 대한 제재를 잘 하지 않는다."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
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   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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