Korean_Movie_Boxoffice_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
       "      <th>대표영화심의일</th>\n",
       "      <th>대표영화심의번호</th>\n",
       "      <th>대표영화관람등급</th>\n",
       "      <th>대표개봉일</th>\n",
       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
       "      <th>KMDBURL</th>\n",
       "      <th>최초등록일</th>\n",
       "      <th>최종수정일</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39502</th>\n",
       "      <td>K</td>\n",
       "      <td>2057</td>\n",
       "      <td>성불사의 밤</td>\n",
       "      <td>Night of Seongbul Temple (Seongbulsaui Bam)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>멜로드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>1970</td>\n",
       "      <td>...</td>\n",
       "      <td>Y</td>\n",
       "      <td>19700121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>상현이 학도병으로 출정하기 전날 밤에 윤희는 성불사에서 그와의 밤을 보낸다. 그후 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO     영화명                                         영문제명  \\\n",
       "39502        K      2057  성불사의 밤  Night of Seongbul Temple (Seongbulsaui Bam)   \n",
       "\n",
       "       원제명   유형   용도     장르  제작국가  제작년도  ... 대표영화심의일  대표영화심의번호 대표영화관람등급 대표개봉일  \\\n",
       "39502  NaN  극영화  극장용  멜로드라마  대한민국  1970  ...       Y  19700121      NaN   NaN   \n",
       "\n",
       "      대표상영시간 키워드  줄거리                                            KMDBURL  \\\n",
       "39502    NaN NaN  NaN  상현이 학도병으로 출정하기 전날 밤에 윤희는 성불사에서 그와의 밤을 보낸다. 그후 ...   \n",
       "\n",
       "       최초등록일 최종수정일  \n",
       "39502    NaN   NaN  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb = pd.read_csv('kmdb_basicinfo.csv', engine='python', index_col=False)\n",
    "kmdb.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(74444, 25)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['영화등록번호ID', '영화등록번호NO', '영화명', '영문제명', '원제명', '유형', '용도', '장르', '제작국가',\n",
       "       '제작년도', '제작사', '감독', '각본', '출연', '영화심의여부', '대표영화심의일', '대표영화심의번호',\n",
       "       '대표영화관람등급', '대표개봉일', '대표상영시간', '키워드', '줄거리', 'KMDBURL', '최초등록일',\n",
       "       '최종수정일'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "영화등록번호ID      0.000000\n",
       "영화등록번호NO      0.000000\n",
       "영화명           0.000000\n",
       "영문제명         35.188867\n",
       "원제명          51.673741\n",
       "유형            0.000000\n",
       "용도            8.523185\n",
       "장르           21.245500\n",
       "제작국가          4.518833\n",
       "제작년도          8.049003\n",
       "제작사          37.875450\n",
       "감독           13.899038\n",
       "각본           31.821235\n",
       "출연           48.214765\n",
       "영화심의여부       31.821235\n",
       "대표영화심의일      51.010155\n",
       "대표영화심의번호     64.245607\n",
       "대표영화관람등급     66.819354\n",
       "대표개봉일       100.000000\n",
       "대표상영시간       75.267315\n",
       "키워드          17.996078\n",
       "줄거리          52.481060\n",
       "KMDBURL      29.928537\n",
       "최초등록일       100.000000\n",
       "최종수정일         8.687067\n",
       "dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb.isnull().sum() / len(kmdb) *100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['NanumGothic']"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.font_manager as fm\n",
    "\n",
    "for font in fm.fontManager.ttflist:\n",
    "    if font.name in ['NanumGothic', 'AppleGothic']:\n",
    "        plt.rcParams['font.family'] = font.name\n",
    "        break\n",
    "        \n",
    "plt.rcParams['font.family']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>제작년도</th>\n",
       "      <th>제작년도_fill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46098</th>\n",
       "      <td>2011</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31929</th>\n",
       "      <td>2016</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42913</th>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21629</th>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7908</th>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13085</th>\n",
       "      <td>1983</td>\n",
       "      <td>1983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31238</th>\n",
       "      <td>2015</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20448</th>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36998</th>\n",
       "      <td>2008</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51295</th>\n",
       "      <td>2007</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       제작년도 제작년도_fill\n",
       "46098  2011      2011\n",
       "31929  2016      2016\n",
       "42913  2002      2002\n",
       "21629  1976      1976\n",
       "7908   2018      2018\n",
       "13085  1983      1983\n",
       "31238  2015      2015\n",
       "20448  2005      2005\n",
       "36998  2008      2008\n",
       "51295  2007      2007"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_list = pd.DataFrame(kmdb['제작년도'])\n",
    "year_list = year_list.fillna(0)\n",
    "kmdb['제작년도_fill'] = year_list\n",
    "\n",
    "kmdb[['제작년도', '제작년도_fill']].sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 제작년도로 분리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
       "      <th>대표영화심의번호</th>\n",
       "      <th>대표영화관람등급</th>\n",
       "      <th>대표개봉일</th>\n",
       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
       "      <th>KMDBURL</th>\n",
       "      <th>최초등록일</th>\n",
       "      <th>최종수정일</th>\n",
       "      <th>제작년도_fill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36283</th>\n",
       "      <td>F</td>\n",
       "      <td>47483</td>\n",
       "      <td>불륜 주부들:실제 상황 재현</td>\n",
       "      <td>Huteikoui</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>일본</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20190220</td>\n",
       "      <td>2019-MF00319</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>유부녀들의 성행각를 옴니버스 형태로 엮은 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-02-22 09:30:18.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO              영화명       영문제명  원제명   유형   용도  장르 제작국가  \\\n",
       "36283        F     47483  불륜 주부들:실제 상황 재현  Huteikoui  NaN  극영화  극장용  에로   일본   \n",
       "\n",
       "       제작년도  ...  대표영화심의번호      대표영화관람등급 대표개봉일 대표상영시간   키워드  줄거리  \\\n",
       "36283  2016  ...  20190220  2019-MF00319   NaN    NaN  60.0  NaN   \n",
       "\n",
       "                            KMDBURL 최초등록일                  최종수정일 제작년도_fill  \n",
       "36283  유부녀들의 성행각를 옴니버스 형태로 엮은 성애 영화   NaN  2019-02-22 09:30:18.0      2016  \n",
       "\n",
       "[1 rows x 26 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb2016 = kmdb[kmdb['제작년도'] == '2016']\n",
    "\n",
    "kmdb2016.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
       "      <th>대표영화심의번호</th>\n",
       "      <th>대표영화관람등급</th>\n",
       "      <th>대표개봉일</th>\n",
       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
       "      <th>KMDBURL</th>\n",
       "      <th>최초등록일</th>\n",
       "      <th>최종수정일</th>\n",
       "      <th>제작년도_fill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49941</th>\n",
       "      <td>K</td>\n",
       "      <td>18761</td>\n",
       "      <td>내 마음이 보이니</td>\n",
       "      <td>(Nae maeumi boini)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2017</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>말,운동,호감,일진,학교생활,책임감,텃밭,도움</td>\n",
       "      <td>말수가 적고 운동신경도 둔한데다 키도 작고 별로 예쁘지 않은 지수는 친구들의 호감을...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-13 14:07:45.0</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO        영화명                영문제명  원제명   유형   용도   장르  \\\n",
       "49941        K     18761  내 마음이 보이니  (Nae maeumi boini)  NaN  극영화  극장용  드라마   \n",
       "\n",
       "       제작국가  제작년도  ... 대표영화심의번호 대표영화관람등급 대표개봉일 대표상영시간   키워드  \\\n",
       "49941  대한민국  2017  ...      NaN      NaN   NaN    NaN  16.0   \n",
       "\n",
       "                             줄거리  \\\n",
       "49941  말,운동,호감,일진,학교생활,책임감,텃밭,도움   \n",
       "\n",
       "                                                 KMDBURL 최초등록일  \\\n",
       "49941  말수가 적고 운동신경도 둔한데다 키도 작고 별로 예쁘지 않은 지수는 친구들의 호감을...   NaN   \n",
       "\n",
       "                       최종수정일 제작년도_fill  \n",
       "49941  2018-12-13 14:07:45.0      2017  \n",
       "\n",
       "[1 rows x 26 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb2017 = kmdb[kmdb['제작년도'] == '2017']\n",
    "\n",
    "kmdb2017.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
       "      <th>대표영화심의번호</th>\n",
       "      <th>대표영화관람등급</th>\n",
       "      <th>대표개봉일</th>\n",
       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
       "      <th>KMDBURL</th>\n",
       "      <th>최초등록일</th>\n",
       "      <th>최종수정일</th>\n",
       "      <th>제작년도_fill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>48616</th>\n",
       "      <td>K</td>\n",
       "      <td>17020</td>\n",
       "      <td>아내의 엄마</td>\n",
       "      <td>(Anaeui eomma)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>20180214</td>\n",
       "      <td>2018-MF00303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>장모,사위,불륜,성행위,콩가루</td>\n",
       "      <td>장모와 사위의 불륜 성행각을 그린 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-29 16:34:17.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO     영화명            영문제명  원제명   유형   용도  장르  제작국가  \\\n",
       "48616        K     17020  아내의 엄마  (Anaeui eomma)  NaN  극영화  극장용  에로  대한민국   \n",
       "\n",
       "       제작년도  ...  대표영화심의번호      대표영화관람등급 대표개봉일 대표상영시간   키워드               줄거리  \\\n",
       "48616  2018  ...  20180214  2018-MF00303   NaN    NaN  80.0  장모,사위,불륜,성행위,콩가루   \n",
       "\n",
       "                        KMDBURL 최초등록일                  최종수정일 제작년도_fill  \n",
       "48616  장모와 사위의 불륜 성행각을 그린 성애 영화   NaN  2018-03-29 16:34:17.0      2018  \n",
       "\n",
       "[1 rows x 26 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb2018 = kmdb[kmdb['제작년도'] == '2018']\n",
    "\n",
    "kmdb2018.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
       "      <th>대표영화심의번호</th>\n",
       "      <th>대표영화관람등급</th>\n",
       "      <th>대표개봉일</th>\n",
       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
       "      <th>KMDBURL</th>\n",
       "      <th>최초등록일</th>\n",
       "      <th>최종수정일</th>\n",
       "      <th>제작년도_fill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36756</th>\n",
       "      <td>F</td>\n",
       "      <td>48042</td>\n",
       "      <td>도검난무</td>\n",
       "      <td>Touken Ranbu: The Movie</td>\n",
       "      <td>映?刀??舞</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>액션,시대극/사극,SF,판타지</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190502</td>\n",
       "      <td>2019-MF00820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>가까운 미래, 일본 전국시대 역사를 바꾸려는 시간 역행자들과 맞서 싸우는 역사 수호...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-07 11:44:41.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO   영화명                     영문제명     원제명   유형   용도  \\\n",
       "36756        F     48042  도검난무  Touken Ranbu: The Movie  映?刀??舞  극영화  극장용   \n",
       "\n",
       "                     장르 제작국가  제작년도  ...  대표영화심의번호      대표영화관람등급 대표개봉일 대표상영시간  \\\n",
       "36756  액션,시대극/사극,SF,판타지   일본  2019  ...  20190502  2019-MF00820   NaN    NaN   \n",
       "\n",
       "         키워드  줄거리                                            KMDBURL 최초등록일  \\\n",
       "36756  100.0  NaN  가까운 미래, 일본 전국시대 역사를 바꾸려는 시간 역행자들과 맞서 싸우는 역사 수호...   NaN   \n",
       "\n",
       "                       최종수정일 제작년도_fill  \n",
       "36756  2019-05-07 11:44:41.0      2019  \n",
       "\n",
       "[1 rows x 26 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb2019 = kmdb[kmdb['제작년도'] == '2019']\n",
    "\n",
    "kmdb2019.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2016년 이후 영화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
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       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>K</td>\n",
       "      <td>20322</td>\n",
       "      <td>쑥대머리</td>\n",
       "      <td>(Ssukdaemeori)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>뮤직비디오</td>\n",
       "      <td>극장용</td>\n",
       "      <td>뮤직</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>판소리,할아버지,할머니</td>\n",
       "      <td>한 판소리꾼이 부채를 펴고 눈을 감는다. 그러자 이야기가 시작된다. 할아버지 무덤을...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-03-22 09:39:07.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1070</th>\n",
       "      <td>A</td>\n",
       "      <td>6411</td>\n",
       "      <td>위켄즈</td>\n",
       "      <td>Weekends</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>뮤직,동성애</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20161207</td>\n",
       "      <td>2016-MF02003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161222</td>\n",
       "      <td>98.0</td>\n",
       "      <td>음악다큐멘터리,게이,동성애,합창단,퀴어무비,LGBT,성소수자</td>\n",
       "      <td>창단 10주년을 맞는 국내 유일의 게이코러스인 ‘G_Voice’.\\t\\r\\n스무 살...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-02-11 10:50:13.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1075</th>\n",
       "      <td>A</td>\n",
       "      <td>6417</td>\n",
       "      <td>일사각오</td>\n",
       "      <td>( il-sa-ga-go )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160308</td>\n",
       "      <td>2016-MF00317</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20160317</td>\n",
       "      <td>115.0</td>\n",
       "      <td>일제강점기,신사참배항거,저항,고문,순교자,신앙</td>\n",
       "      <td>일제 강점기에 신사참배에 반대해 갖은 고문을 당하면서도, 자신의 신앙을 지키며 나라...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-03-21 10:52:52.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>A</td>\n",
       "      <td>6424</td>\n",
       "      <td>노후 대책 없다</td>\n",
       "      <td>No Preparation for Old Age (no-hu dae-chaek ge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물,뮤직</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20170531</td>\n",
       "      <td>2017-MF00961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20170629</td>\n",
       "      <td>100.0</td>\n",
       "      <td>펑크밴드,일상,인디밴드</td>\n",
       "      <td>서울의 펑크밴드들이 도쿄에서 역대 가장 크게 개최되는 하드코어 펑크 음악 페스티벌에...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-12 11:15:17.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>A</td>\n",
       "      <td>6425</td>\n",
       "      <td>마담 B</td>\n",
       "      <td>Mrs.B. A North Korean Woman (Ma-dam B)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국,프랑스</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20181024</td>\n",
       "      <td>2018-MF02037</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20181115</td>\n",
       "      <td>71.0</td>\n",
       "      <td>탈북자,불법노동자,무국적,생계유지,남한생활,진실한사랑</td>\n",
       "      <td>“이름을 밝힐 수 없는 그녀, 마담 B.\\r\\n불법을 넘나드는 그녀의 무국적 멜로드...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-12 11:20:18.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1084</th>\n",
       "      <td>A</td>\n",
       "      <td>6426</td>\n",
       "      <td>물숨</td>\n",
       "      <td>Breathing Underwater</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국,프랑스</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160818</td>\n",
       "      <td>2016-MF01256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20160929</td>\n",
       "      <td>77.0</td>\n",
       "      <td>우도,해녀,제주도</td>\n",
       "      <td>제주에는 숨을 멈추고 살아가는 여인들이 있다. 물 한 모금 마시지 않고 하루 7,8...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-12 11:21:57.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>A</td>\n",
       "      <td>6430</td>\n",
       "      <td>자백</td>\n",
       "      <td>Spy Nation</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>사회</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160816</td>\n",
       "      <td>2016-MF01220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161013</td>\n",
       "      <td>90.0</td>\n",
       "      <td>국정원,국가정보원,국가보안법,서울시공무원간첩조작사건</td>\n",
       "      <td>2016년, 간첩은 만들어진다!\\r\\n그들이 정해놓은 완벽한 시나리오! \\r\\n\\r...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-28 15:04:07.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>A</td>\n",
       "      <td>6435</td>\n",
       "      <td>핵마피아</td>\n",
       "      <td>The Nuclear Mafia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>사회,자연ㆍ환경</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115.0</td>\n",
       "      <td>핵발전소,원자력발전소,환경오염,환경보호</td>\n",
       "      <td>“핵마피아”를 만나기 위한 시민탐정들의 용감한 여정이 시작된다.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-13 14:48:18.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>A</td>\n",
       "      <td>6435</td>\n",
       "      <td>핵마피아</td>\n",
       "      <td>The Nuclear Mafia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>사회,자연ㆍ환경</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115.0</td>\n",
       "      <td>핵발전소,원자력발전소,환경오염,환경보호</td>\n",
       "      <td>Program Note\\r\\n고리의 핵발전소 폐쇄 싸움과 밀양의 송전탑 반대 투쟁 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-13 14:48:18.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>A</td>\n",
       "      <td>6453</td>\n",
       "      <td>내 사랑 한옥마을</td>\n",
       "      <td>Dearest, Hanok Village (Nae-sa-rang Han-og-ma-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>지역</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>아빠는 2년 전 전주한옥마을에서 한지를 이용한 사진인화 사업을 시작했다. 사업은 성...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-13 15:33:23.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>A</td>\n",
       "      <td>6489</td>\n",
       "      <td>침묵</td>\n",
       "      <td>The Silence (Chim-muk)</td>\n",
       "      <td>沈? - 立ち上がる慰安婦</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>역사,인물</td>\n",
       "      <td>대한민국,일본</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.0</td>\n",
       "      <td>종군위안부,위안부,일본군위안부피해자,정신대할머니,정신대</td>\n",
       "      <td>1994년 5월, 쌀과 김치를 메고 15명의 할머니들이 직접 협상을 요구하러 일본을...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-17 14:40:21.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1092</th>\n",
       "      <td>A</td>\n",
       "      <td>6489</td>\n",
       "      <td>침묵</td>\n",
       "      <td>The Silence (Chim-muk)</td>\n",
       "      <td>沈? - 立ち上がる慰安婦</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>역사,인물</td>\n",
       "      <td>대한민국,일본</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.0</td>\n",
       "      <td>종군위안부,위안부,일본군위안부피해자,정신대할머니,정신대</td>\n",
       "      <td>재일교포 2세 박수남 감독은 20년이 넘는 세월동안 위안부 피해자들을 카메라에 담아...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-17 14:40:21.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>A</td>\n",
       "      <td>6492</td>\n",
       "      <td>빅뱅 메이드</td>\n",
       "      <td>Bigbang made</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물,뮤직</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160525</td>\n",
       "      <td>2016-MF00771</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20160630</td>\n",
       "      <td>114.0</td>\n",
       "      <td>빅뱅,10주년,월드투어,콘서트,인터뷰</td>\n",
       "      <td>3년 만에 완전체로 컴백한 빅뱅의 메이드 월드투어의 시작부터 마지막까지, 총 317...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 14:17:28.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1096</th>\n",
       "      <td>A</td>\n",
       "      <td>6495</td>\n",
       "      <td>깨어난 침묵</td>\n",
       "      <td>After Breaking the Silence</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>사회,인권</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>흑백,흑백영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-09 16:13:21.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097</th>\n",
       "      <td>A</td>\n",
       "      <td>6496</td>\n",
       "      <td>못, 함께하는</td>\n",
       "      <td>Nailing it</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>가족,인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>나는 불안을 재워보려 집 안의 전등을 갈았다. 그러나 못 하나가 빠지지 않아 옛 전...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-10 10:57:19.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>A</td>\n",
       "      <td>6499</td>\n",
       "      <td>김광석</td>\n",
       "      <td>Who Killed Kim Kwang-seok? (Kim Kwang-seok)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20170717</td>\n",
       "      <td>2017-MF01243</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20170830</td>\n",
       "      <td>82.0</td>\n",
       "      <td>가수,사망,미스테리,포크가수</td>\n",
       "      <td>대한민국을 대표하는 가수 김광석. 그의 죽음은 자살일까 타살일까? 사망 20년이 지...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-28 10:59:00.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>A</td>\n",
       "      <td>6509</td>\n",
       "      <td>깨끗하고 불빛 환한 곳</td>\n",
       "      <td>A Clean, Well-Lighted Place</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>사회</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>대학교에 다닐 때 한 영문학과 교수가 내게 말했었다. ‘문학이 삶의 지도가 되어 줄...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-25 11:30:06.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>A</td>\n",
       "      <td>6510</td>\n",
       "      <td>도큐멘트 70: 속물에 대한 6가지 테제</td>\n",
       "      <td>Document 70: 6 theses against Snobs</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>NaN</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>이미지의 역사기억과 아카이브로 기술된 특정한 시간과 공간 혹은 장소와 사건을 다시 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-07-28 17:34:27.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>A</td>\n",
       "      <td>6517</td>\n",
       "      <td>케이팝스토리...마이프렌즈</td>\n",
       "      <td>K-POP Story... My friends</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>뮤직,인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160425</td>\n",
       "      <td>2016-MF00623</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.0</td>\n",
       "      <td>학교폭력,예술고등학교,여고생,고등학생</td>\n",
       "      <td>교내 왕따와 폭력을 일삼던 케이팝 동아리 큐피드에 맞서 스쿨엔젤이 케이팝 대결을 통...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-30 11:58:29.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>A</td>\n",
       "      <td>6517</td>\n",
       "      <td>케이팝스토리...마이프렌즈</td>\n",
       "      <td>K-POP Story... My friends</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>뮤직,인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160425</td>\n",
       "      <td>2016-MF00623</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.0</td>\n",
       "      <td>학교폭력,예술고등학교,여고생,고등학생</td>\n",
       "      <td>명실상부 대한민국 최고의 예술고등학교, 남예술고등학교! 이곳에 전혀 어울리지 않는 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-08-30 11:58:29.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>A</td>\n",
       "      <td>6527</td>\n",
       "      <td>가현이들</td>\n",
       "      <td>The Part-Time Workers’ Union ( ga-hyeo-ni-deul )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인권</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>노동조합,아르바이트,비정규직,저임금,20대</td>\n",
       "      <td>8년 동안 알바를 해온 나에게 찾아온 아르바이트 노동조합. 그곳에서 나와 이름이 똑...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-05 13:33:30.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>A</td>\n",
       "      <td>6529</td>\n",
       "      <td>무현, 두 도시 이야기</td>\n",
       "      <td>Moo-hyun, Tale of two cities (Mu-hyeon, du do-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20161017</td>\n",
       "      <td>2016-MF01601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161026</td>\n",
       "      <td>90.0</td>\n",
       "      <td>노무현,대통령</td>\n",
       "      <td>이제 우리가 당신을 만나러 갑니다.\\r\\n\\r\\n최선의 시간이었고, 최악의 시간이었...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-13 14:34:54.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>A</td>\n",
       "      <td>6530</td>\n",
       "      <td>오 마이 파파</td>\n",
       "      <td>OH! My PaPa  (O ma-i pa-pa )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20160919</td>\n",
       "      <td>2016-MF01416</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161110</td>\n",
       "      <td>97.0</td>\n",
       "      <td>카톨릭사제,신부</td>\n",
       "      <td>“저는 거리의 아이들을 모두 제 아이들처럼 느낍니다.”\\r\\n한국 이름 소재건, 소...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-22 11:15:01.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>A</td>\n",
       "      <td>6533</td>\n",
       "      <td>공동정범</td>\n",
       "      <td>The Remnants (Gong-dong-jeong-beom)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물,사회</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20171220</td>\n",
       "      <td>2017-MF02210</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>용산참사,철거민,용산재개발,국가폭력,트라우마</td>\n",
       "      <td>2015년 10월, 경찰관을 죽였다는 이유로 억울하게 수감되었던 철거민들이 6년 전...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-05 16:43:32.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>A</td>\n",
       "      <td>6534</td>\n",
       "      <td>다시 태어나도 우리</td>\n",
       "      <td>Becoming Who I Was  ( Angttu )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물,지역</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20170809</td>\n",
       "      <td>2017-MF01405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20170927</td>\n",
       "      <td>105.0</td>\n",
       "      <td>종교탄압,종교분쟁,추방,티베트</td>\n",
       "      <td>어느 날 갑자기 사람들이 나에게 머리를 조아리고 무릎을 꿇었다. 그러나 환생 전 사...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-05 16:53:45.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1116</th>\n",
       "      <td>A</td>\n",
       "      <td>6539</td>\n",
       "      <td>제자 옥한흠 2 - 제자도</td>\n",
       "      <td>( Jeja Oak Hanheum 2 - jejado )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20161102</td>\n",
       "      <td>2016-MF01750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161110</td>\n",
       "      <td>90.0</td>\n",
       "      <td>종교,기독교,목사,개신교</td>\n",
       "      <td>‘그리스도인과 제자’라는 단어는 모두 예수님과의 관계를 내포한다. 그러나 제자가 더...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-10 13:26:58.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>A</td>\n",
       "      <td>6545</td>\n",
       "      <td>옆집</td>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>영화는 정신장애인들의 재활공간인 ‘한마음의 집’ 사람들을 담고 있다. 홍은동 한마음...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-18 17:33:39.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1118</th>\n",
       "      <td>A</td>\n",
       "      <td>6547</td>\n",
       "      <td>7년-그들이 없는 언론</td>\n",
       "      <td>Seven Years-Journalism without Journalist ( 7n...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>사회</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20161010</td>\n",
       "      <td>2016-MF01544</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20170112</td>\n",
       "      <td>110.0</td>\n",
       "      <td>이명박,언론인,해직,해직통보,해고,공정방송</td>\n",
       "      <td>이명박 정부 초기인 2008년부터 현재까지 총 20여명의 언론인이 해직되었다.\\r\\...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-19 14:25:49.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1119</th>\n",
       "      <td>A</td>\n",
       "      <td>6548</td>\n",
       "      <td>순종</td>\n",
       "      <td>Obedience ( sunjong )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>지역,사회</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20161017</td>\n",
       "      <td>2016-MF01597</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161117</td>\n",
       "      <td>88.0</td>\n",
       "      <td>우간다,레바논,내전,전쟁트라우마,상처,위로</td>\n",
       "      <td>우간다 내전으로 상처받은 사람들이 모여 사는 딩기디 마을. 반군에게 부모가 잔인하게...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-19 16:36:36.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1120</th>\n",
       "      <td>A</td>\n",
       "      <td>6549</td>\n",
       "      <td>시간의 종말</td>\n",
       "      <td>For the End of Time ( siganui jongmal )</td>\n",
       "      <td>NaN</td>\n",
       "      <td>다큐멘터리</td>\n",
       "      <td>극장용</td>\n",
       "      <td>인물</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>20161019</td>\n",
       "      <td>2016-MF01624</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20161103</td>\n",
       "      <td>67.0</td>\n",
       "      <td>푸른 눈의 신부,프랑스,선교,선교사,기록</td>\n",
       "      <td>시간의 신비 속에 피어난 사랑 \\r\\n푸른 눈의 신부들은 왜 조선으로 떠나오게 되었...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-10-19 17:19:09.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51947</th>\n",
       "      <td>K</td>\n",
       "      <td>21288</td>\n",
       "      <td>신마적:독불장군 엄동옥</td>\n",
       "      <td>(Sinmajeok:dokbuljanggun eomdongok)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>액션</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190902</td>\n",
       "      <td>2019-MF01866</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>일제 강점기, 일본인들의 행패에 맞서 싸우다 건달이 될 수밖에 없었던 조선 지식인 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-04 14:18:32.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51948</th>\n",
       "      <td>K</td>\n",
       "      <td>21288</td>\n",
       "      <td>신마적:독불장군 엄동옥</td>\n",
       "      <td>(Sinmajeok:dokbuljanggun eomdongok)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>액션</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190902</td>\n",
       "      <td>2019-MF01866</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>김두한, 시라소니, 구마적, 쌍칼, 그리고 신마적까지! 종로를 접수한 낭만 협객들의...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-04 14:18:32.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51949</th>\n",
       "      <td>K</td>\n",
       "      <td>21289</td>\n",
       "      <td>최음 섹스</td>\n",
       "      <td>(Choeeum sekseu)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190902</td>\n",
       "      <td>2019-MF01852</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>섹스에 집착하는 남녀를 앞세운 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-04 14:29:51.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51950</th>\n",
       "      <td>K</td>\n",
       "      <td>21290</td>\n",
       "      <td>인터뷰</td>\n",
       "      <td>(Inteobyu)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>NaN</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190902</td>\n",
       "      <td>2019-MF01851</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>기자와 외국인 신인감독과의 식사 중 인터뷰를 보여주는 단편영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-04 14:33:00.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51952</th>\n",
       "      <td>K</td>\n",
       "      <td>21293</td>\n",
       "      <td>엄마친구 2020</td>\n",
       "      <td>(Eommachingu 2020)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190904</td>\n",
       "      <td>2019-MF01907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>남편과 사별 후 혼자 사는 여성과 이웃 부부 아들과의 성행각을 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-06 10:19:44.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51953</th>\n",
       "      <td>K</td>\n",
       "      <td>21294</td>\n",
       "      <td>영등포 테이프</td>\n",
       "      <td>(Yeongdeungpo teipeu)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>멜로/로맨스</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190904</td>\n",
       "      <td>2019-MF01903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>비디오로 인연을 맺은 남녀 이야기를 그린 단편영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-06 10:43:58.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51956</th>\n",
       "      <td>K</td>\n",
       "      <td>21297</td>\n",
       "      <td>강남 며느리</td>\n",
       "      <td>(Gangnam myeoneuri)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190904</td>\n",
       "      <td>2019-MF01897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>결혼을 앞둔 여성과 그에 얽힌 두 남자와의 육체적 쾌락을 그린 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-06 11:04:04.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51957</th>\n",
       "      <td>K</td>\n",
       "      <td>21298</td>\n",
       "      <td>관전녀</td>\n",
       "      <td>(Gwanjeonnyeo)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190904</td>\n",
       "      <td>2019-MF01895</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>욕정에 눈 먼 남녀 두 커플 이야기를 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-06 11:07:00.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51958</th>\n",
       "      <td>K</td>\n",
       "      <td>21304</td>\n",
       "      <td>너도 그렇다</td>\n",
       "      <td>Memoir (Neodo geureota)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>고등학생인 은규는 집을 나왔다. 고깃집 아르바이트로 생활비를 버는 그녀의 유일한 위...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-06 16:59:09.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51959</th>\n",
       "      <td>K</td>\n",
       "      <td>21305</td>\n",
       "      <td>순간</td>\n",
       "      <td>Moment (Sungan)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마,공포,스릴러</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>아파트 엘리베이터에서 층층 마다, 전 층의 버튼을 눌러 놓는 소녀가 있다. 그 소녀...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-06 17:06:08.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51963</th>\n",
       "      <td>K</td>\n",
       "      <td>21310</td>\n",
       "      <td>친구 오는 날</td>\n",
       "      <td>Friend Coming Day (Chingu oneun nal)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>어느 더운 여름날, 오늘은 초등학교 1학년 정민이 처음으로 친구를 집에 초대하는 날...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-10 10:55:23.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51967</th>\n",
       "      <td>K</td>\n",
       "      <td>21315</td>\n",
       "      <td>이상한 나라의 서준</td>\n",
       "      <td>Jian's Adventures in Wonderland (Isanghan nara...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>독서토론논술 수업을 듣는 8살 지안은 공룡을 보았다는 서준의 말에 관심을 갖는다. ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-10 11:47:11.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51972</th>\n",
       "      <td>K</td>\n",
       "      <td>21320</td>\n",
       "      <td>기러기 아빠 : 20대 섹스 파트너들</td>\n",
       "      <td>(Gireogi appa : 20dae sekseu pateuneodeul)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190909</td>\n",
       "      <td>2019-MF01928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>의붓딸과의 성행각을 그린 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-16 14:05:08.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51977</th>\n",
       "      <td>K</td>\n",
       "      <td>21325</td>\n",
       "      <td>채팅앱-누나의맛</td>\n",
       "      <td>(Chaetingaep-nunauimat)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01986</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>휴대폰 앱을 통해 섹스 상대 찾기를 그린 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 10:26:06.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51981</th>\n",
       "      <td>K</td>\n",
       "      <td>21329</td>\n",
       "      <td>막내 처제</td>\n",
       "      <td>(Mangnae cheoje)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01974</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>예비 처형과 예비 제부 등의 성행각을 그린 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 10:55:20.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51986</th>\n",
       "      <td>K</td>\n",
       "      <td>21334</td>\n",
       "      <td>탐스런 옆집아내</td>\n",
       "      <td>(Tamseureon yeopjibanae)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>집세를 몸으로 처리하는 유부녀의 이야기를 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 11:09:24.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51987</th>\n",
       "      <td>K</td>\n",
       "      <td>21335</td>\n",
       "      <td>아내의여동생</td>\n",
       "      <td>(Anaeuiyeodongsaeng)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01967</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>선배의 남편과의 성행각을 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 11:12:41.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51988</th>\n",
       "      <td>K</td>\n",
       "      <td>21336</td>\n",
       "      <td>젊은친구엄마</td>\n",
       "      <td>(Jeolmeunchingueomma)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01966</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>아들 친구를 유혹하는 유부녀의 이야기를 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 11:16:20.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51989</th>\n",
       "      <td>K</td>\n",
       "      <td>21337</td>\n",
       "      <td>동생의여자친구</td>\n",
       "      <td>(Dongsaenguiyeojachingu)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>집에 놀러온 동생의 여자친구와의 성행각을 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 11:19:02.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51990</th>\n",
       "      <td>K</td>\n",
       "      <td>21338</td>\n",
       "      <td>815 군산 : 돼지의 최후</td>\n",
       "      <td>(815 gunsan : dwaejiui choehu)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>코메디</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01964</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>해방 전야에 모인 남녀 9명의 비밀과 갈등을 코믹하게 그린 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 11:22:35.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51991</th>\n",
       "      <td>K</td>\n",
       "      <td>21339</td>\n",
       "      <td>오르가즘 특강</td>\n",
       "      <td>(Oreugajeum teukgang)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190911</td>\n",
       "      <td>2019-MF01963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>개인교습을 받고 성에 눈뜨게 된다는 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-17 11:26:05.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54168</th>\n",
       "      <td>F</td>\n",
       "      <td>48408</td>\n",
       "      <td>세인트 세이야: 12궁의 기사단 : 파트 1</td>\n",
       "      <td>Saint Seiya: Knights of the Zodiac: Season 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>애니메이션</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>액션,SF,판타지</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190703</td>\n",
       "      <td>2019-MF01305</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>140.0</td>\n",
       "      <td>TV애니메이션원작,일본만화원작</td>\n",
       "      <td>아테나 여신이 수백 년 만에 부활한다. 그녀를 지키기 위해 모인 12궁의 기사단. ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-05 10:45:31.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54180</th>\n",
       "      <td>F</td>\n",
       "      <td>48628</td>\n",
       "      <td>살색의 감독 무라니시 : 파트 1</td>\n",
       "      <td>The Naked Director: Season 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-시리즈</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>NaN</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190722</td>\n",
       "      <td>2019-MF01433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>380.0</td>\n",
       "      <td>TV시리즈원작</td>\n",
       "      <td>1980년대 일본, 한 남자가 뜻을 세운다. 이 살색의 산업에 혁명을 일으키리라. ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-24 14:31:30.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54181</th>\n",
       "      <td>F</td>\n",
       "      <td>48928</td>\n",
       "      <td>남편의 그것이 들어가지 않아 : 파트 1</td>\n",
       "      <td>My Husband Won’t Fit: Season 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-시리즈</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>멜로/로맨스</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190821</td>\n",
       "      <td>2019-MF01766</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>345.0</td>\n",
       "      <td>소설원작,TV드라마</td>\n",
       "      <td>행복을 꿈꿨던 부부. 하지만 결혼 전 가볍게 넘긴 문제가 그들을 위기로 몰아넣는다....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-23 11:06:29.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54182</th>\n",
       "      <td>F</td>\n",
       "      <td>49257</td>\n",
       "      <td>심야식당: 도쿄 스토리: 파트 2</td>\n",
       "      <td>Midnight Diner: Tokyo Stories: Season 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-시리즈</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190902</td>\n",
       "      <td>2019-MF01887</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>심야식당을 찾는 손님들의 갖가지 사연을 음식을 통해 그리고 있는 시리즈 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-04 14:54:35.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54185</th>\n",
       "      <td>F</td>\n",
       "      <td>47920</td>\n",
       "      <td>리락쿠마와 가오루 씨</td>\n",
       "      <td>Rilakkuma and Kaoru: Season 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-애니메이션</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>NaN</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190415</td>\n",
       "      <td>2019-MF00684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190419</td>\n",
       "      <td>153.0</td>\n",
       "      <td>회사원,곰인형,교감,행복한일상</td>\n",
       "      <td>평범한 회사원 가오루 씨와 그녀 앞에 갑자기 나타난 천하 태평 곰인형 리락쿠마가 함...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-04-17 14:38:13.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54187</th>\n",
       "      <td>F</td>\n",
       "      <td>48355</td>\n",
       "      <td>세븐시즈 : 파트 1</td>\n",
       "      <td>7Seeds: Part 1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-애니메이션</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>드라마,SF,판타지</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190624</td>\n",
       "      <td>2019-MF01207</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190628</td>\n",
       "      <td>302.0</td>\n",
       "      <td>만화원작,TV시리즈</td>\n",
       "      <td>인류가 사라진 지구, 내성적인 소녀 나츠가 잠에서 깨어난다. 소수의 생존자로 선택받...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-06-27 14:27:15.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54188</th>\n",
       "      <td>F</td>\n",
       "      <td>48741</td>\n",
       "      <td>겐간 아슈라 : 파트 1</td>\n",
       "      <td>Kengan Ashura: Part I</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TV-애니메이션</td>\n",
       "      <td>인터넷용</td>\n",
       "      <td>액션</td>\n",
       "      <td>일본</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190731</td>\n",
       "      <td>2019-MF01540</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>299.0</td>\n",
       "      <td>만화원작,TV애니메이션원작</td>\n",
       "      <td>기업 간의 분쟁을 맨몸의 승부로 해결한다. 그 비밀스러운 세계로 들어간 도키타 오마...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-02 13:35:01.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74435</th>\n",
       "      <td>K</td>\n",
       "      <td>20473</td>\n",
       "      <td>산책하는 별</td>\n",
       "      <td>Walking to the Star (Sanchaekaneun byeol)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>드라마,판타지</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>별이 떨어진 곳에 소원을 빌러 온 원영은 비슷한 이유로 이곳을 찾아온 하람,태성,도...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-04-12 08:27:48.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74443</th>\n",
       "      <td>K</td>\n",
       "      <td>21308</td>\n",
       "      <td>소설가 구보의 하루</td>\n",
       "      <td>A Day of Kubo the Novelist</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>두 달 전 보냈던 자신의 작품의 출간 여부를 결정짓기 위해 출판사 편집장인 선배 기...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-09 09:26:03.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8917 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO                       영화명  \\\n",
       "14           K     20322                      쑥대머리   \n",
       "1070         A      6411                       위켄즈   \n",
       "1075         A      6417                      일사각오   \n",
       "1082         A      6424                  노후 대책 없다   \n",
       "1083         A      6425                      마담 B   \n",
       "1084         A      6426                        물숨   \n",
       "1086         A      6430                        자백   \n",
       "1088         A      6435                      핵마피아   \n",
       "1089         A      6435                      핵마피아   \n",
       "1090         A      6453                 내 사랑 한옥마을   \n",
       "1091         A      6489                        침묵   \n",
       "1092         A      6489                        침묵   \n",
       "1095         A      6492                    빅뱅 메이드   \n",
       "1096         A      6495                    깨어난 침묵   \n",
       "1097         A      6496                   못, 함께하는   \n",
       "1099         A      6499                       김광석   \n",
       "1101         A      6509              깨끗하고 불빛 환한 곳   \n",
       "1102         A      6510    도큐멘트 70: 속물에 대한 6가지 테제   \n",
       "1105         A      6517            케이팝스토리...마이프렌즈   \n",
       "1106         A      6517            케이팝스토리...마이프렌즈   \n",
       "1108         A      6527                      가현이들   \n",
       "1109         A      6529              무현, 두 도시 이야기   \n",
       "1110         A      6530                   오 마이 파파   \n",
       "1111         A      6533                      공동정범   \n",
       "1112         A      6534                다시 태어나도 우리   \n",
       "1116         A      6539            제자 옥한흠 2 - 제자도   \n",
       "1117         A      6545                        옆집   \n",
       "1118         A      6547              7년-그들이 없는 언론   \n",
       "1119         A      6548                        순종   \n",
       "1120         A      6549                    시간의 종말   \n",
       "...        ...       ...                       ...   \n",
       "51947        K     21288              신마적:독불장군 엄동옥   \n",
       "51948        K     21288              신마적:독불장군 엄동옥   \n",
       "51949        K     21289                     최음 섹스   \n",
       "51950        K     21290                       인터뷰   \n",
       "51952        K     21293                 엄마친구 2020   \n",
       "51953        K     21294                   영등포 테이프   \n",
       "51956        K     21297                    강남 며느리   \n",
       "51957        K     21298                       관전녀   \n",
       "51958        K     21304                    너도 그렇다   \n",
       "51959        K     21305                        순간   \n",
       "51963        K     21310                   친구 오는 날   \n",
       "51967        K     21315                이상한 나라의 서준   \n",
       "51972        K     21320      기러기 아빠 : 20대 섹스 파트너들   \n",
       "51977        K     21325                  채팅앱-누나의맛   \n",
       "51981        K     21329                     막내 처제   \n",
       "51986        K     21334                  탐스런 옆집아내   \n",
       "51987        K     21335                    아내의여동생   \n",
       "51988        K     21336                    젊은친구엄마   \n",
       "51989        K     21337                   동생의여자친구   \n",
       "51990        K     21338           815 군산 : 돼지의 최후   \n",
       "51991        K     21339                   오르가즘 특강   \n",
       "54168        F     48408  세인트 세이야: 12궁의 기사단 : 파트 1   \n",
       "54180        F     48628        살색의 감독 무라니시 : 파트 1   \n",
       "54181        F     48928    남편의 그것이 들어가지 않아 : 파트 1   \n",
       "54182        F     49257        심야식당: 도쿄 스토리: 파트 2   \n",
       "54185        F     47920               리락쿠마와 가오루 씨   \n",
       "54187        F     48355               세븐시즈 : 파트 1   \n",
       "54188        F     48741             겐간 아슈라 : 파트 1   \n",
       "74435        K     20473                    산책하는 별   \n",
       "74443        K     21308                소설가 구보의 하루   \n",
       "\n",
       "                                                    영문제명            원제명  \\\n",
       "14                                        (Ssukdaemeori)            NaN   \n",
       "1070                                            Weekends            NaN   \n",
       "1075                                     ( il-sa-ga-go )            NaN   \n",
       "1082   No Preparation for Old Age (no-hu dae-chaek ge...            NaN   \n",
       "1083              Mrs.B. A North Korean Woman (Ma-dam B)            NaN   \n",
       "1084                                Breathing Underwater            NaN   \n",
       "1086                                          Spy Nation            NaN   \n",
       "1088                                   The Nuclear Mafia            NaN   \n",
       "1089                                   The Nuclear Mafia            NaN   \n",
       "1090   Dearest, Hanok Village (Nae-sa-rang Han-og-ma-...            NaN   \n",
       "1091                              The Silence (Chim-muk)  沈? - 立ち上がる慰安婦   \n",
       "1092                              The Silence (Chim-muk)  沈? - 立ち上がる慰安婦   \n",
       "1095                                        Bigbang made            NaN   \n",
       "1096                          After Breaking the Silence            NaN   \n",
       "1097                                          Nailing it            NaN   \n",
       "1099         Who Killed Kim Kwang-seok? (Kim Kwang-seok)            NaN   \n",
       "1101                         A Clean, Well-Lighted Place            NaN   \n",
       "1102                 Document 70: 6 theses against Snobs            NaN   \n",
       "1105                           K-POP Story... My friends            NaN   \n",
       "1106                           K-POP Story... My friends            NaN   \n",
       "1108    The Part-Time Workers’ Union ( ga-hyeo-ni-deul )            NaN   \n",
       "1109   Moo-hyun, Tale of two cities (Mu-hyeon, du do-...            NaN   \n",
       "1110                        OH! My PaPa  (O ma-i pa-pa )            NaN   \n",
       "1111                 The Remnants (Gong-dong-jeong-beom)            NaN   \n",
       "1112                      Becoming Who I Was  ( Angttu )            NaN   \n",
       "1116                     ( Jeja Oak Hanheum 2 - jejado )            NaN   \n",
       "1117                                        Neighborhood            NaN   \n",
       "1118   Seven Years-Journalism without Journalist ( 7n...            NaN   \n",
       "1119                               Obedience ( sunjong )            NaN   \n",
       "1120             For the End of Time ( siganui jongmal )            NaN   \n",
       "...                                                  ...            ...   \n",
       "51947                (Sinmajeok:dokbuljanggun eomdongok)            NaN   \n",
       "51948                (Sinmajeok:dokbuljanggun eomdongok)            NaN   \n",
       "51949                                   (Choeeum sekseu)            NaN   \n",
       "51950                                         (Inteobyu)            NaN   \n",
       "51952                                 (Eommachingu 2020)            NaN   \n",
       "51953                              (Yeongdeungpo teipeu)            NaN   \n",
       "51956                                (Gangnam myeoneuri)            NaN   \n",
       "51957                                     (Gwanjeonnyeo)            NaN   \n",
       "51958                            Memoir (Neodo geureota)            NaN   \n",
       "51959                                    Moment (Sungan)            NaN   \n",
       "51963               Friend Coming Day (Chingu oneun nal)            NaN   \n",
       "51967  Jian's Adventures in Wonderland (Isanghan nara...            NaN   \n",
       "51972         (Gireogi appa : 20dae sekseu pateuneodeul)            NaN   \n",
       "51977                            (Chaetingaep-nunauimat)            NaN   \n",
       "51981                                   (Mangnae cheoje)            NaN   \n",
       "51986                           (Tamseureon yeopjibanae)            NaN   \n",
       "51987                               (Anaeuiyeodongsaeng)            NaN   \n",
       "51988                              (Jeolmeunchingueomma)            NaN   \n",
       "51989                           (Dongsaenguiyeojachingu)            NaN   \n",
       "51990                     (815 gunsan : dwaejiui choehu)            NaN   \n",
       "51991                              (Oreugajeum teukgang)            NaN   \n",
       "54168       Saint Seiya: Knights of the Zodiac: Season 1            NaN   \n",
       "54180                       The Naked Director: Season 1            NaN   \n",
       "54181                     My Husband Won’t Fit: Season 1            NaN   \n",
       "54182            Midnight Diner: Tokyo Stories: Season 2            NaN   \n",
       "54185                      Rilakkuma and Kaoru: Season 1            NaN   \n",
       "54187                                     7Seeds: Part 1            NaN   \n",
       "54188                              Kengan Ashura: Part I            NaN   \n",
       "74435          Walking to the Star (Sanchaekaneun byeol)            NaN   \n",
       "74443                         A Day of Kubo the Novelist            NaN   \n",
       "\n",
       "             유형    용도          장르      제작국가  제작년도  ...  대표영화심의번호  \\\n",
       "14        뮤직비디오   극장용          뮤직      대한민국  2016  ...       NaN   \n",
       "1070      다큐멘터리   극장용      뮤직,동성애      대한민국  2016  ...  20161207   \n",
       "1075      다큐멘터리   극장용          인물      대한민국  2016  ...  20160308   \n",
       "1082      다큐멘터리   극장용       인물,뮤직      대한민국  2016  ...  20170531   \n",
       "1083      다큐멘터리   극장용          인물  대한민국,프랑스  2016  ...  20181024   \n",
       "1084      다큐멘터리   극장용          인물  대한민국,프랑스  2016  ...  20160818   \n",
       "1086      다큐멘터리   극장용          사회      대한민국  2016  ...  20160816   \n",
       "1088      다큐멘터리   극장용    사회,자연ㆍ환경      대한민국  2016  ...       NaN   \n",
       "1089      다큐멘터리   극장용    사회,자연ㆍ환경      대한민국  2016  ...       NaN   \n",
       "1090      다큐멘터리   극장용          지역      대한민국  2016  ...       NaN   \n",
       "1091      다큐멘터리   극장용       역사,인물   대한민국,일본  2016  ...       NaN   \n",
       "1092      다큐멘터리   극장용       역사,인물   대한민국,일본  2016  ...       NaN   \n",
       "1095      다큐멘터리   극장용       인물,뮤직      대한민국  2016  ...  20160525   \n",
       "1096      다큐멘터리   극장용       사회,인권      대한민국  2016  ...       NaN   \n",
       "1097      다큐멘터리   극장용       가족,인물      대한민국  2016  ...       NaN   \n",
       "1099      다큐멘터리   극장용          인물      대한민국  2016  ...  20170717   \n",
       "1101      다큐멘터리   극장용          사회      대한민국  2016  ...       NaN   \n",
       "1102      다큐멘터리   극장용         NaN      대한민국  2016  ...       NaN   \n",
       "1105      다큐멘터리   극장용       뮤직,인물      대한민국  2016  ...  20160425   \n",
       "1106      다큐멘터리   극장용       뮤직,인물      대한민국  2016  ...  20160425   \n",
       "1108      다큐멘터리   극장용          인권      대한민국  2016  ...       NaN   \n",
       "1109      다큐멘터리   극장용          인물      대한민국  2016  ...  20161017   \n",
       "1110      다큐멘터리   극장용          인물      대한민국  2016  ...  20160919   \n",
       "1111      다큐멘터리   극장용       인물,사회      대한민국  2016  ...  20171220   \n",
       "1112      다큐멘터리   극장용       인물,지역      대한민국  2016  ...  20170809   \n",
       "1116      다큐멘터리   극장용          인물      대한민국  2016  ...  20161102   \n",
       "1117      다큐멘터리   극장용          인물      대한민국  2016  ...       NaN   \n",
       "1118      다큐멘터리   극장용          사회      대한민국  2016  ...  20161010   \n",
       "1119      다큐멘터리   극장용       지역,사회      대한민국  2016  ...  20161017   \n",
       "1120      다큐멘터리   극장용          인물      대한민국  2016  ...  20161019   \n",
       "...         ...   ...         ...       ...   ...  ...       ...   \n",
       "51947       극영화   극장용          액션      대한민국  2019  ...  20190902   \n",
       "51948       극영화   극장용          액션      대한민국  2019  ...  20190902   \n",
       "51949       극영화   극장용          에로      대한민국  2019  ...  20190902   \n",
       "51950       극영화   극장용         NaN      대한민국  2019  ...  20190902   \n",
       "51952       극영화   극장용          에로      대한민국  2019  ...  20190904   \n",
       "51953       극영화   극장용      멜로/로맨스      대한민국  2019  ...  20190904   \n",
       "51956       극영화   극장용          에로      대한민국  2019  ...  20190904   \n",
       "51957       극영화   극장용          에로      대한민국  2019  ...  20190904   \n",
       "51958       극영화   극장용         드라마      대한민국  2019  ...       NaN   \n",
       "51959       극영화   극장용  드라마,공포,스릴러      대한민국  2019  ...       NaN   \n",
       "51963       극영화   극장용         드라마      대한민국  2019  ...       NaN   \n",
       "51967       극영화   극장용         드라마      대한민국  2019  ...       NaN   \n",
       "51972       극영화   극장용          에로      대한민국  2019  ...  20190909   \n",
       "51977       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "51981       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "51986       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "51987       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "51988       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "51989       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "51990       극영화   극장용         코메디      대한민국  2019  ...  20190911   \n",
       "51991       극영화   극장용          에로      대한민국  2019  ...  20190911   \n",
       "54168     애니메이션  인터넷용   액션,SF,판타지        일본  2019  ...  20190703   \n",
       "54180    TV-시리즈  인터넷용         NaN        일본  2019  ...  20190722   \n",
       "54181    TV-시리즈  인터넷용      멜로/로맨스        일본  2019  ...  20190821   \n",
       "54182    TV-시리즈  인터넷용         드라마        일본  2019  ...  20190902   \n",
       "54185  TV-애니메이션  인터넷용         NaN        일본  2019  ...  20190415   \n",
       "54187  TV-애니메이션  인터넷용  드라마,SF,판타지        일본  2019  ...  20190624   \n",
       "54188  TV-애니메이션  인터넷용          액션        일본  2019  ...  20190731   \n",
       "74435       극영화   NaN     드라마,판타지      대한민국  2019  ...       NaN   \n",
       "74443       극영화   NaN         드라마      대한민국  2019  ...       NaN   \n",
       "\n",
       "           대표영화관람등급 대표개봉일    대표상영시간    키워드                                줄거리  \\\n",
       "14              NaN   NaN       NaN    6.0                       판소리,할아버지,할머니   \n",
       "1070   2016-MF02003   NaN  20161222   98.0  음악다큐멘터리,게이,동성애,합창단,퀴어무비,LGBT,성소수자   \n",
       "1075   2016-MF00317   NaN  20160317  115.0          일제강점기,신사참배항거,저항,고문,순교자,신앙   \n",
       "1082   2017-MF00961   NaN  20170629  100.0                       펑크밴드,일상,인디밴드   \n",
       "1083   2018-MF02037   NaN  20181115   71.0      탈북자,불법노동자,무국적,생계유지,남한생활,진실한사랑   \n",
       "1084   2016-MF01256   NaN  20160929   77.0                          우도,해녀,제주도   \n",
       "1086   2016-MF01220   NaN  20161013   90.0       국정원,국가정보원,국가보안법,서울시공무원간첩조작사건   \n",
       "1088            NaN   NaN       NaN  115.0              핵발전소,원자력발전소,환경오염,환경보호   \n",
       "1089            NaN   NaN       NaN  115.0              핵발전소,원자력발전소,환경오염,환경보호   \n",
       "1090            NaN   NaN       NaN   92.0                                NaN   \n",
       "1091            NaN   NaN       NaN  117.0     종군위안부,위안부,일본군위안부피해자,정신대할머니,정신대   \n",
       "1092            NaN   NaN       NaN  117.0     종군위안부,위안부,일본군위안부피해자,정신대할머니,정신대   \n",
       "1095   2016-MF00771   NaN  20160630  114.0               빅뱅,10주년,월드투어,콘서트,인터뷰   \n",
       "1096            NaN   NaN       NaN   80.0                            흑백,흑백영화   \n",
       "1097            NaN   NaN       NaN   33.0                                NaN   \n",
       "1099   2017-MF01243   NaN  20170830   82.0                    가수,사망,미스테리,포크가수   \n",
       "1101            NaN   NaN       NaN   21.0                                NaN   \n",
       "1102            NaN   NaN       NaN   54.0                                NaN   \n",
       "1105   2016-MF00623   NaN       NaN   95.0               학교폭력,예술고등학교,여고생,고등학생   \n",
       "1106   2016-MF00623   NaN       NaN   95.0               학교폭력,예술고등학교,여고생,고등학생   \n",
       "1108            NaN   NaN       NaN   78.0            노동조합,아르바이트,비정규직,저임금,20대   \n",
       "1109   2016-MF01601   NaN  20161026   90.0                            노무현,대통령   \n",
       "1110   2016-MF01416   NaN  20161110   97.0                           카톨릭사제,신부   \n",
       "1111   2017-MF02210   NaN       NaN  106.0           용산참사,철거민,용산재개발,국가폭력,트라우마   \n",
       "1112   2017-MF01405   NaN  20170927  105.0                   종교탄압,종교분쟁,추방,티베트   \n",
       "1116   2016-MF01750   NaN  20161110   90.0                      종교,기독교,목사,개신교   \n",
       "1117            NaN   NaN       NaN   82.0                                NaN   \n",
       "1118   2016-MF01544   NaN  20170112  110.0            이명박,언론인,해직,해직통보,해고,공정방송   \n",
       "1119   2016-MF01597   NaN  20161117   88.0            우간다,레바논,내전,전쟁트라우마,상처,위로   \n",
       "1120   2016-MF01624   NaN  20161103   67.0             푸른 눈의 신부,프랑스,선교,선교사,기록   \n",
       "...             ...   ...       ...    ...                                ...   \n",
       "51947  2019-MF01866   NaN       NaN   87.0                                NaN   \n",
       "51948  2019-MF01866   NaN       NaN   87.0                                NaN   \n",
       "51949  2019-MF01852   NaN       NaN   72.0                                NaN   \n",
       "51950  2019-MF01851   NaN       NaN    9.0                                NaN   \n",
       "51952  2019-MF01907   NaN       NaN   61.0                                NaN   \n",
       "51953  2019-MF01903   NaN       NaN   16.0                                NaN   \n",
       "51956  2019-MF01897   NaN       NaN   81.0                                NaN   \n",
       "51957  2019-MF01895   NaN       NaN   77.0                                NaN   \n",
       "51958           NaN   NaN       NaN   20.0                                NaN   \n",
       "51959           NaN   NaN       NaN    8.0                                NaN   \n",
       "51963           NaN   NaN       NaN   15.0                                NaN   \n",
       "51967           NaN   NaN       NaN   10.0                                NaN   \n",
       "51972  2019-MF01928   NaN       NaN   62.0                                NaN   \n",
       "51977  2019-MF01986   NaN       NaN   83.0                                NaN   \n",
       "51981  2019-MF01974   NaN       NaN   71.0                                NaN   \n",
       "51986  2019-MF01969   NaN       NaN   70.0                                NaN   \n",
       "51987  2019-MF01967   NaN       NaN   62.0                                NaN   \n",
       "51988  2019-MF01966   NaN       NaN   64.0                                NaN   \n",
       "51989  2019-MF01965   NaN       NaN   63.0                                NaN   \n",
       "51990  2019-MF01964   NaN       NaN  102.0                                NaN   \n",
       "51991  2019-MF01963   NaN       NaN   79.0                                NaN   \n",
       "54168  2019-MF01305   NaN      2019  140.0                   TV애니메이션원작,일본만화원작   \n",
       "54180  2019-MF01433   NaN       NaN  380.0                            TV시리즈원작   \n",
       "54181  2019-MF01766   NaN       NaN  345.0                         소설원작,TV드라마   \n",
       "54182  2019-MF01887   NaN       NaN  251.0                                NaN   \n",
       "54185  2019-MF00684   NaN  20190419  153.0                   회사원,곰인형,교감,행복한일상   \n",
       "54187  2019-MF01207   NaN  20190628  302.0                         만화원작,TV시리즈   \n",
       "54188  2019-MF01540   NaN       NaN  299.0                     만화원작,TV애니메이션원작   \n",
       "74435           NaN   NaN       NaN   15.0                                NaN   \n",
       "74443           NaN   NaN       NaN   76.0                                NaN   \n",
       "\n",
       "                                                 KMDBURL 최초등록일  \\\n",
       "14     한 판소리꾼이 부채를 펴고 눈을 감는다. 그러자 이야기가 시작된다. 할아버지 무덤을...   NaN   \n",
       "1070   창단 10주년을 맞는 국내 유일의 게이코러스인 ‘G_Voice’.\\t\\r\\n스무 살...   NaN   \n",
       "1075   일제 강점기에 신사참배에 반대해 갖은 고문을 당하면서도, 자신의 신앙을 지키며 나라...   NaN   \n",
       "1082   서울의 펑크밴드들이 도쿄에서 역대 가장 크게 개최되는 하드코어 펑크 음악 페스티벌에...   NaN   \n",
       "1083   “이름을 밝힐 수 없는 그녀, 마담 B.\\r\\n불법을 넘나드는 그녀의 무국적 멜로드...   NaN   \n",
       "1084   제주에는 숨을 멈추고 살아가는 여인들이 있다. 물 한 모금 마시지 않고 하루 7,8...   NaN   \n",
       "1086   2016년, 간첩은 만들어진다!\\r\\n그들이 정해놓은 완벽한 시나리오! \\r\\n\\r...   NaN   \n",
       "1088                 “핵마피아”를 만나기 위한 시민탐정들의 용감한 여정이 시작된다.   NaN   \n",
       "1089   Program Note\\r\\n고리의 핵발전소 폐쇄 싸움과 밀양의 송전탑 반대 투쟁 ...   NaN   \n",
       "1090   아빠는 2년 전 전주한옥마을에서 한지를 이용한 사진인화 사업을 시작했다. 사업은 성...   NaN   \n",
       "1091   1994년 5월, 쌀과 김치를 메고 15명의 할머니들이 직접 협상을 요구하러 일본을...   NaN   \n",
       "1092   재일교포 2세 박수남 감독은 20년이 넘는 세월동안 위안부 피해자들을 카메라에 담아...   NaN   \n",
       "1095   3년 만에 완전체로 컴백한 빅뱅의 메이드 월드투어의 시작부터 마지막까지, 총 317...   NaN   \n",
       "1096                                                 NaN   NaN   \n",
       "1097   나는 불안을 재워보려 집 안의 전등을 갈았다. 그러나 못 하나가 빠지지 않아 옛 전...   NaN   \n",
       "1099   대한민국을 대표하는 가수 김광석. 그의 죽음은 자살일까 타살일까? 사망 20년이 지...   NaN   \n",
       "1101   대학교에 다닐 때 한 영문학과 교수가 내게 말했었다. ‘문학이 삶의 지도가 되어 줄...   NaN   \n",
       "1102   이미지의 역사기억과 아카이브로 기술된 특정한 시간과 공간 혹은 장소와 사건을 다시 ...   NaN   \n",
       "1105   교내 왕따와 폭력을 일삼던 케이팝 동아리 큐피드에 맞서 스쿨엔젤이 케이팝 대결을 통...   NaN   \n",
       "1106   명실상부 대한민국 최고의 예술고등학교, 남예술고등학교! 이곳에 전혀 어울리지 않는 ...   NaN   \n",
       "1108   8년 동안 알바를 해온 나에게 찾아온 아르바이트 노동조합. 그곳에서 나와 이름이 똑...   NaN   \n",
       "1109   이제 우리가 당신을 만나러 갑니다.\\r\\n\\r\\n최선의 시간이었고, 최악의 시간이었...   NaN   \n",
       "1110   “저는 거리의 아이들을 모두 제 아이들처럼 느낍니다.”\\r\\n한국 이름 소재건, 소...   NaN   \n",
       "1111   2015년 10월, 경찰관을 죽였다는 이유로 억울하게 수감되었던 철거민들이 6년 전...   NaN   \n",
       "1112   어느 날 갑자기 사람들이 나에게 머리를 조아리고 무릎을 꿇었다. 그러나 환생 전 사...   NaN   \n",
       "1116   ‘그리스도인과 제자’라는 단어는 모두 예수님과의 관계를 내포한다. 그러나 제자가 더...   NaN   \n",
       "1117   영화는 정신장애인들의 재활공간인 ‘한마음의 집’ 사람들을 담고 있다. 홍은동 한마음...   NaN   \n",
       "1118   이명박 정부 초기인 2008년부터 현재까지 총 20여명의 언론인이 해직되었다.\\r\\...   NaN   \n",
       "1119   우간다 내전으로 상처받은 사람들이 모여 사는 딩기디 마을. 반군에게 부모가 잔인하게...   NaN   \n",
       "1120   시간의 신비 속에 피어난 사랑 \\r\\n푸른 눈의 신부들은 왜 조선으로 떠나오게 되었...   NaN   \n",
       "...                                                  ...   ...   \n",
       "51947  일제 강점기, 일본인들의 행패에 맞서 싸우다 건달이 될 수밖에 없었던 조선 지식인 ...   NaN   \n",
       "51948  김두한, 시라소니, 구마적, 쌍칼, 그리고 신마적까지! 종로를 접수한 낭만 협객들의...   NaN   \n",
       "51949                             섹스에 집착하는 남녀를 앞세운 성애 영화   NaN   \n",
       "51950                 기자와 외국인 신인감독과의 식사 중 인터뷰를 보여주는 단편영화   NaN   \n",
       "51952        남편과 사별 후 혼자 사는 여성과 이웃 부부 아들과의 성행각을 다룬 성애 영화   NaN   \n",
       "51953                        비디오로 인연을 맺은 남녀 이야기를 그린 단편영화   NaN   \n",
       "51956           결혼을 앞둔 여성과 그에 얽힌 두 남자와의 육체적 쾌락을 그린 성애 영화   NaN   \n",
       "51957                      욕정에 눈 먼 남녀 두 커플 이야기를 다룬 성애 영화   NaN   \n",
       "51958  고등학생인 은규는 집을 나왔다. 고깃집 아르바이트로 생활비를 버는 그녀의 유일한 위...   NaN   \n",
       "51959  아파트 엘리베이터에서 층층 마다, 전 층의 버튼을 눌러 놓는 소녀가 있다. 그 소녀...   NaN   \n",
       "51963  어느 더운 여름날, 오늘은 초등학교 1학년 정민이 처음으로 친구를 집에 초대하는 날...   NaN   \n",
       "51967  독서토론논술 수업을 듣는 8살 지안은 공룡을 보았다는 서준의 말에 관심을 갖는다. ...   NaN   \n",
       "51972                                의붓딸과의 성행각을 그린 성애 영화   NaN   \n",
       "51977                       휴대폰 앱을 통해 섹스 상대 찾기를 그린 성애 영화   NaN   \n",
       "51981                      예비 처형과 예비 제부 등의 성행각을 그린 성애 영화   NaN   \n",
       "51986                    집세를 몸으로 처리하는 유부녀의 이야기를 다룬 성애 영화   NaN   \n",
       "51987                             선배의 남편과의 성행각을 다룬 성애 영화   NaN   \n",
       "51988                     아들 친구를 유혹하는 유부녀의 이야기를 다룬 성애 영화   NaN   \n",
       "51989                    집에 놀러온 동생의 여자친구와의 성행각을 다룬 성애 영화   NaN   \n",
       "51990                해방 전야에 모인 남녀 9명의 비밀과 갈등을 코믹하게 그린 영화   NaN   \n",
       "51991                          개인교습을 받고 성에 눈뜨게 된다는 성애 영화   NaN   \n",
       "54168  아테나 여신이 수백 년 만에 부활한다. 그녀를 지키기 위해 모인 12궁의 기사단. ...   NaN   \n",
       "54180  1980년대 일본, 한 남자가 뜻을 세운다. 이 살색의 산업에 혁명을 일으키리라. ...   NaN   \n",
       "54181  행복을 꿈꿨던 부부. 하지만 결혼 전 가볍게 넘긴 문제가 그들을 위기로 몰아넣는다....   NaN   \n",
       "54182         심야식당을 찾는 손님들의 갖가지 사연을 음식을 통해 그리고 있는 시리즈 영화   NaN   \n",
       "54185  평범한 회사원 가오루 씨와 그녀 앞에 갑자기 나타난 천하 태평 곰인형 리락쿠마가 함...   NaN   \n",
       "54187  인류가 사라진 지구, 내성적인 소녀 나츠가 잠에서 깨어난다. 소수의 생존자로 선택받...   NaN   \n",
       "54188  기업 간의 분쟁을 맨몸의 승부로 해결한다. 그 비밀스러운 세계로 들어간 도키타 오마...   NaN   \n",
       "74435  별이 떨어진 곳에 소원을 빌러 온 원영은 비슷한 이유로 이곳을 찾아온 하람,태성,도...   NaN   \n",
       "74443  두 달 전 보냈던 자신의 작품의 출간 여부를 결정짓기 위해 출판사 편집장인 선배 기...   NaN   \n",
       "\n",
       "                       최종수정일 제작년도_fill  \n",
       "14     2019-03-22 09:39:07.0      2016  \n",
       "1070   2016-02-11 10:50:13.0      2016  \n",
       "1075   2016-03-21 10:52:52.0      2016  \n",
       "1082   2016-04-12 11:15:17.0      2016  \n",
       "1083   2016-04-12 11:20:18.0      2016  \n",
       "1084   2016-04-12 11:21:57.0      2016  \n",
       "1086   2016-04-28 15:04:07.0      2016  \n",
       "1088   2016-05-13 14:48:18.0      2016  \n",
       "1089   2016-05-13 14:48:18.0      2016  \n",
       "1090   2016-05-13 15:33:23.0      2016  \n",
       "1091   2016-05-17 14:40:21.0      2016  \n",
       "1092   2016-05-17 14:40:21.0      2016  \n",
       "1095   2016-05-31 14:17:28.0      2016  \n",
       "1096   2016-06-09 16:13:21.0      2016  \n",
       "1097   2016-06-10 10:57:19.0      2016  \n",
       "1099   2016-06-28 10:59:00.0      2016  \n",
       "1101   2016-07-25 11:30:06.0      2016  \n",
       "1102   2016-07-28 17:34:27.0      2016  \n",
       "1105   2016-08-30 11:58:29.0      2016  \n",
       "1106   2016-08-30 11:58:29.0      2016  \n",
       "1108   2016-09-05 13:33:30.0      2016  \n",
       "1109   2016-09-13 14:34:54.0      2016  \n",
       "1110   2016-09-22 11:15:01.0      2016  \n",
       "1111   2016-10-05 16:43:32.0      2016  \n",
       "1112   2016-10-05 16:53:45.0      2016  \n",
       "1116   2016-10-10 13:26:58.0      2016  \n",
       "1117   2016-10-18 17:33:39.0      2016  \n",
       "1118   2016-10-19 14:25:49.0      2016  \n",
       "1119   2016-10-19 16:36:36.0      2016  \n",
       "1120   2016-10-19 17:19:09.0      2016  \n",
       "...                      ...       ...  \n",
       "51947  2019-09-04 14:18:32.0      2019  \n",
       "51948  2019-09-04 14:18:32.0      2019  \n",
       "51949  2019-09-04 14:29:51.0      2019  \n",
       "51950  2019-09-04 14:33:00.0      2019  \n",
       "51952  2019-09-06 10:19:44.0      2019  \n",
       "51953  2019-09-06 10:43:58.0      2019  \n",
       "51956  2019-09-06 11:04:04.0      2019  \n",
       "51957  2019-09-06 11:07:00.0      2019  \n",
       "51958  2019-09-06 16:59:09.0      2019  \n",
       "51959  2019-09-06 17:06:08.0      2019  \n",
       "51963  2019-09-10 10:55:23.0      2019  \n",
       "51967  2019-09-10 11:47:11.0      2019  \n",
       "51972  2019-09-16 14:05:08.0      2019  \n",
       "51977  2019-09-17 10:26:06.0      2019  \n",
       "51981  2019-09-17 10:55:20.0      2019  \n",
       "51986  2019-09-17 11:09:24.0      2019  \n",
       "51987  2019-09-17 11:12:41.0      2019  \n",
       "51988  2019-09-17 11:16:20.0      2019  \n",
       "51989  2019-09-17 11:19:02.0      2019  \n",
       "51990  2019-09-17 11:22:35.0      2019  \n",
       "51991  2019-09-17 11:26:05.0      2019  \n",
       "54168  2019-07-05 10:45:31.0      2019  \n",
       "54180  2019-07-24 14:31:30.0      2019  \n",
       "54181  2019-08-23 11:06:29.0      2019  \n",
       "54182  2019-09-04 14:54:35.0      2019  \n",
       "54185  2019-04-17 14:38:13.0      2019  \n",
       "54187  2019-06-27 14:27:15.0      2019  \n",
       "54188  2019-08-02 13:35:01.0      2019  \n",
       "74435  2019-04-12 08:27:48.0      2019  \n",
       "74443  2019-09-09 09:26:03.0      2019  \n",
       "\n",
       "[8917 rows x 26 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb_after2016 = pd.concat([kmdb2016, kmdb2017, kmdb2018, kmdb2019])\n",
    "\n",
    "kmdb_after2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "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>장르</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>드라마</th>\n",
       "      <td>2205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에로</th>\n",
       "      <td>1646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공포</th>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인물</th>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>코메디</th>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션</th>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>멜로드라마</th>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스릴러</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>멜로드라마,에로</th>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,가족</th>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,멜로드라마</th>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,코메디</th>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공포,스릴러</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>어드벤처</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>코메디,드라마</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션,스릴러</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,스릴러</th>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>실험</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,에로</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,판타지</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             장르\n",
       "드라마        2205\n",
       "에로         1646\n",
       "공포          167\n",
       "인물          158\n",
       "코메디         153\n",
       "액션          133\n",
       "멜로드라마       129\n",
       "스릴러         100\n",
       "멜로드라마,에로     98\n",
       "드라마,가족       97\n",
       "드라마,멜로드라마    94\n",
       "드라마,코메디      90\n",
       "공포,스릴러       87\n",
       "어드벤처         74\n",
       "코메디,드라마      73\n",
       "액션,스릴러       53\n",
       "드라마,스릴러      51\n",
       "실험           45\n",
       "드라마,에로       43\n",
       "드라마,판타지      42"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = kmdb['장르'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(data)\n",
    "\n",
    "data_after2016 = kmdb_after2016['장르'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(data_after2016)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(1, 2, 1)\n",
    "data.plot.pie()\n",
    "plt.show()\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "data_after2016.plot.pie()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1de5862f438>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1de5868c860>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IhM9+QNIZcR6QUkg+S9Iduee7AJgF4Etl0huKgB/9EsBFGH1Jsw2Al1dI8wmEETlTjpatweXWmJcyR9wnEQJdqjMxuurnjxh9tdETyVUB3Ilw9nFtarDPpfO/AB5qWbxE0r8XXP90xNH/srMWkm9FOBMqa1UAG6LY/v0EgKMAHAdgRwBvBfC91A8k+X8I1UErFyHcC3htwSSOwejv9E4Az0rMwzsBTAdwqaQnSU5BqLbcPSGNQwDshVC9922Es9QDUvKBUA10MkafyR6HglWFMR+VykLyUoSDxCqSliKcTLwOBapSco4H8HuEfeKbCFXCn8i9XvQGaPa+Z5P8PEK5ippP8pcIVc/Zfb5DE9YfZZgC/l2SDs4vqFg1AwCLJF1FMuVG41bxSE8Az5N0dczLxxLSyHaAxwH8Gmn3END6fklLSK6ZmMbpCGcvJ0o6DwDidpgKYJOEdJYpTGgzkrm07+XZkuaQ/HFu2eoJ67dzr6Svx6DRiyTdQPIRhLPBsi3XFlbcDq3f6bJ4VpriYIR6+BMBnBpvYKe2ktkJYejdHQF8DsBNkhYmpnGPpFFnoCR3TUyjalnWjA0i8t/Baol5yDwV4Qbt0jj24/J4XzHldwKEg+jXEOYGKeoOSbvHk6BDEO65lTZMzTLbHU1Tmxhl79+A5LkYe2ZaxM2S5kp6K8LNwhTTSH4fwH8g3KAEgCXx7wF0byGR167cq6ZkRNJeAF4MYDWS+8TFFyNcRW2XklTBZb3Wz69T9gC4AcnPItS5p7oUwPMB/LnXGzuoazvkrZKYh7/G+zH5q7VSv3FJy2Od/lNIvip19YLLuqmtLDmp+9Ul8f/3AXws3kz+GYD9EM78U6tqnojVM0sT1hEASPoOgH0AfDO2SitlmM7wNyT5rtxzYmydfi/bx/9bAZhW8sbHnrnHX27JT1eSXp1/ThKSrotPf5KQh5ktLR8IIPUMHwptcs8geSDJ2SXqRwFgrdjcNZ+XlINPtt3+TvI/EXbwTRPzkP3wXo9wPyOl6WC2/X8EYH8AWWuaog0BMuuRzH+/RLF7CJmNSV6Qe06kBYZsHQBYQfK1CNvy6Ylp7Abg1NzzQxFuYP9vQhozSX6yJV+pVxpVy5IdYB4l+c34fGbnt7dJQDqR5JEAbkc4SVtT0t3x5T8WSCKbpGQqyQsRWunl81bEysYCkm6JB50vAPhA51U6G5p2+PHHtG7L4nuKBql4ed/pDOHpCDeVktrU5tsYk3xxrxYV8ZI0n4fNAdwG4O+S/kHyNUVazMQbaa0/oPslLSmY73bb4lqEZojZZeoNkn6HHmJV1voti2+T9JWCedlI0r2xTNlnL8rfuCuL5E6SLk14/8sRfoybSEqqx4/bdL2WxX+SdEm7948HkjtI+kE8I39RXHxvPDusku5Gku7t/c6V798MYxtC/CWlDX/VspCcKmk5yakY+a08Eevza0NyM0lJ9+FIzpdUumomtp76Tal1hyXg55E8UNLJietsi9Htg1sLvlzSVT3SOBuhHnAxwg2tj8Z6wg0QbqTeB2BfSSs6rH8GRpqbZQTguljnnNxRqAyS28V8fA7hDA4AfgvgBwCOjPm7WdLtiem+Mmvy2S8MbZ17dRa6rsvrrem9EsBvJD1eIU9vkfTdsutPFJKbov22XCzpAZJvlPQ/iWlOSGe8OnBsO/jbEdrhvwrA6pJeX+Y3S3KTEvdFatmWQ1Gl03JmTABzSZ6F3GVfgR/oazGyM+c792SWAega8AE8I95gXAujq1A+h9C07xUIfQTajlet3r0ve1YLxYNOtzq8JZL27pFM9sNeA6GJlxDanD9W8Yz0KPToOJbHsT0ZhdBC5s0ITdq+S/KwHs0j/xk9OulgpNqmiKNqOOgegNBSpZD4nWa/xdaTkayDzd490sh3gkNM4xYAzwXwaGwu2Stgvxvtt+UfEVqpHAqga8Dn2M542zOhM14dZeHYjltC+E3ui1ArcCLJkyR9qFs+1L5/xAkA5iLU62dlbJeHj6PLfklyuaTPdPv8NtsyqWNjO0MR8DG2M8cdCJ0zgJG6znmtK7X4ai6NcwG8HaO/rCJ1ttkNlMUAFnPlbI3YWKEr/0KE+s+OExTEGy7vi599aks1TM/LLcU+ABXdirAt5sXPFMIBL+lyj6N7NALAjFw9NBGGkHhblyRaO9QJoRXCqgidob6LcN+lV3v47PPbHci7rzj6LI5IL0O77bA8MY0j0P1kpMi+2doJbgXCTejtAcwGsCV6B+zb0f4MP1unyLZtzcdlcVlWrq6d8TqkkVqW1nghAK9E6NPwfoSWPy/oXZQRJN+Cgn0iovPQo0ahQBqdOjambMtRhiLgtzszZhj3Y/fW5l9d0lgY1zkSoa74WIS2/V+RlNSqI7Zq+TeEHQ8Y+fIeQ++bU6cA+CHCtj8Do28CF/nssxDO8IkQHFt7ly6NLXA6UujIthnCj+ZRAMfEZm8pWel0BrQ+gNlFLv3z1T8kn4LQFO82ADcA2Dl7qUcy2cELCD/kDyHhQN6uDKk6bIcNALy+4H2h/TFS1ffvAL6VTwrhh/2JNuvl87CyE1y8At0JYbucCeAZubS6uT+usw1Cy7Eb4vKscUORE5IxnfEYhq2YJ6lrGdqlUaYs+eqSuF8di9Ao4l6UaMHF0BFtbrziLLraJzDyO213EF8CYO9uCXTYlgSwg7oM1dHNUAR8ACB5BMLNwRUIvczuRRgPJ6XH2dkATsgOICR3BnAWgK5ncK0knQngTI505c+O5M8CcHf7tVZ6hqQL4+fvG/9vgrBD92xpI2mv2D57NYQj/v4IO9PjklJalpyBUPWwCsK4IO9HerM1xJtq6yJ8L1cjdA6Zhx6X/rn1v4BwkDqM5IsQAn5h8eC1NkKg3wihx/H8bBsXzMN0hBt6ZZpzZmm8A+Gm7QqEs7tHEIJ3z4CvMNzHMxFaGG0b1yfCTcrCTYcZemEuRziheBsSqpViPq6Mv4lVEILU3yT9NCWNmI/TMPJb/QRC58akDpJVyxKvupZKekc84CSJgfXLCB3zngOg9co6f1U5Rv6kq8q9OZLHS/owyX8BsJqk60nuh5HWZEmGqR3+zgjVOL8D8ApJy5DW7A0IN1pWbihJ3wewccL6nQLihbFu73iEs5BuVgNW7lBZ88WDEALWxQXzcQvC2eztCJevX0TBAJszVdIfYkuc7J7AjYlpAKGqbF2EuvudYnVXSk/Cl2KkI0rZ9sXnItxMex7iFRzJryWsfz2A00lexNDBpYxDEG58rwVg21hVl9IU8XIAb0I4iO+KcOmeeuP3aMSrNZTvvLZu/Ow7ETrnlbG5Qie0ryMMh7AC6Z2eqpZlBkJva6DEia1Ca5ajEO5tEcC/xJduRqhC/jHJ7wHo2GqI5NYkrwCwDslzSZ5EckZiVrIWSk9BOPAA5TuQDc8ZPoAnJd1F8j6MNH9L6myE8CWdgnDDZRrCDyulN2Rrb1oCgKRT45nRt3s1zQTwNZI/Qjgz+Epc/5CEPACh1/E++QVM73X8B4Y2xtMQqkUg6YOJaQDAg5LOIvkGjHwvKTtk/t7BqHpXkh9CsSErpkvKtx3/MsOQD0XdozD42jQA7yF5DoD3FG3mGj0q6Zp49VVm//yzpKPyC0i+JmF9ILTZzrZl/rc9heQLEc64u5J0Nsm943e6d8zHd2J6jxTMx4rc/+wkKfW3WrksOfn9ainJkxB6uXcl6UEAPyB5OYCzSN4r6evx5SMLfO5XAewXT6pA8gUIN793TMh7ZhlGflelT9SHKeC3uzFXtGdqWFH6WNxZZsdFX5b024T1Wy9vr8q99n0UIOnbJC+Oj8tWIVTuyShpP5LbIFQF3dRzhXHMC8JNzhciVANcgRDk9wawGcJw1r38nuRHMPpAfmvC52c345cB+CrJGxDOTosMzTAqjZolV7FhJB+rIFyx/Q3A5xEGP/tczw8M/V2elv0HAIVe5Snyv9WnM3TMK3OWXqksCIOm7YpwFX8hwkFiV4Sz/we7rTgqE2GYiwMxtr9JL1SuL4uk3zLMfZFizbj9NgAwPT5OGexxTIbKrttXJI+QdEws8AkIR7l7AXxSxYdunRRIXovQiy8fEB4DcFC/twXJ8yXNjQH7ZIThKjaW9NKC678ZoV/DNghnuWfG5YWH5I3VY2/CyIH8lwAuUcGdm+TlkrZvWfYOAGtJ6tjiquX9X5L0gXiD70sIdb+UVGgMGZLfxkiVVnaj7zZJhxVZP6ZxJMJ+8CqEkWTfXXTdXBrZ6K9AaKabPIgdyX0knUny6QgNA6YiXEUdn5BGpbLEk5knEVrj3CPpypT160DyfQj3ZH6E8N1uD+AySV9NSOPjGNuh725JJ5bK07AE/E44xDPq1G3YtwVDx58lku4fhLKQnKmRrvQTlYfnSUods2k88rGHpG/1fmfXNCa8LP3OQzzoPT8+vTFWE5VJ59lK7AjZztDctCV5cu5x/qxjaMpQF5KXkDyP5NUkv0Uya6c+MNuCoTNRqo/mHtdSFpI3kCzUHLCVpLvjQajK519eZX2Eq6Yyn7s6w7ACSd9FbDGWPd4y91IdUzb2tSy59bdmaIZcOg9lSXpQ0pXxb2WwL7FfjZmPgOTWqfkZmABRQH7nyw9LOtyXKOWsrTC12RqS9kBosQNMwLYg+Z7c4/zN56SmcAzTBD4o6f64qK6yvBRj+yqkOIVhhNOumBtim+RxuZcKtTwi+Yt4EL8ltuj4RvZSWnZXOhSh1RKQ9l3kA2rS4IAr30h+N/f4R2XSaFG2LJkPI7TiqpKHuvXcr0ieT/IChoHXdouPL8jta1/stn47w3TTNq+JQb4jSQ9M4MfvgdCmHwitD74QHxetP5+GMNzsFpJKjQDYkt6o8UbijdiUoRVGkbRTzGMvr0NoSgiEYadXJlHwox6X9HaS12v05DHJ+zpDm/7NcjfjU9Jgh8cpaeTrnPOtc/pdFpCcB+B6jUzwMxCxo8h+pdFTNU5BaO6bv2JMPngNa8AflKP0RBPJOQg9VIGRdsf91ClAFHUxwmilKWPwj3xgzeONkLxU0k75ZfGg0XPVDo9TVQpIDB10/hNh1qqqn182L3WkUaks8UCxL8K4+kVa9IyrsvsVye9IeqtCT/j9EPprrEwiNR/DFPBr2YkmGUmaj9iXgNVnACuVhw6Pi60s7cgwB+pZJN+T0rM0qjSROkcP4EYAW5DMX2ksl3RKgXzUtX+WPogzTOv3TwBeI+mJkp9fx4Grcho1lOUjCPNe1DH2VLIa96vXcGSGveQ6+1bDFPDXJ7k9QsFT28NONtmPqPUezFAeCCXdyNDJ6jj0GF+kzbpVJ1JvHcCt9eZk6kQoVVU5iO+OMFHHyST3VdpQGys/v8PjfqdRqSyS3ktyo7j+R5SbCLxP6tqvbs6qdkheT3KKOgy/XsQwBfxPIXTEyR5nmli9kwW5g1qWT8S2WIVhBNApKD80AiT9ieQdJJ8Vf5wpNwlLT6SuMBbPehg7e9ojkv5WNA8I3eefg7Ad1klYL1P5IB57Bp/KMN/BkQDKjJ2+MclvxfykDDuSt1GsOyfC+EbJ6iiLwsQ68xAGLEwaL6uqGverZ5I8BmFbbghgjdgoYEOUmI5zaAK+Og+G1WsM+0lHcaIWSde3vDQR22IBwgB0RNrwsWNI+nTuaUpZqk6k/kuEuXzzIxtug7QBv/4bYc7R7PHKrBRc/8D4/+0ty5MP4pKuILk7y0208c8YOXDnZ4dKycc7MHIVnp/3td9lgaS/kLyqzIlEDerYr+5HGI5hCsIUnlMkHVA2Q0MT8Dup4ZJ+0piIbSGp9SojU6nHb2JZqg7vcJekg/MLUu+HSDqpw0uFbhhnN5Yl3dXyUtK0mzlHIAxFACR8F7G6oN0YQh9OSKPTgb+vZcnlJ99bumweyqi8XwE4QtJtcd3PI/RKL23oA74NrAt6v6U2VSdSr2M8oE6KTHbdkaQzSG7a5kDQa71FucdvKbIOR0/k8gqEMeRXnp2S7DkZTI889a0sdeeh7McVXNY5gdy0q2qZNrNMORzwrZIYaJ8GYKGkRSS3k3QFwk2qSl3xE1yCsfczUs7kNiSZb81BjK177Yphbt31ANwq6TaSe8ZxaHZCGPupilNIStLOvd/aMX9XADi729g4LR7m0G8AAApTSURBVO2+57dWk9WkL2UZ7zwUVHm/6iG5HEM/lo5NLJK3IYxo+SJJOzBO9hADxpwJyE/yROoMI0O2jmJ4j6QFCWncjNDjea6k7eveDiSnFewP0Gn9wjNwMcwJcBxCT9vLJKWMPFokL30ry3jloeBnVN6vCnxGUjmGaWgFG0z3xJ6tqZPRjJejer9lNEnXSrpY0sUIM5JdXOJH+YCkM1ChpVImtkFvzWOVALmHpPsLBvsTEXoNvw2hh/KHGEZ9rE3VQFu0LJm6t2dRNe1XK9VRDlfpWFVq+b8JwxC7pcfsTsGKE6kzTI+Y7yAzl2He4Cy9FZJ6TpaRk22HZ8ebbD1n/6qrkw7JLbObvyR3k5Rth5TqtRdJyk+8cj3J6xCaNvbE0ZPCj3kZoblsa0uk1jTy2yPvFoVpGD8r6fCC61fp9FRaHfvVeJTDAd/q9gTCHKZFZqqqTBUnUkeYIjLfQeYOjAxKRYSmifNKZO1eAF/DyPSN3dTVSedUkm9ECBIfxMiN85SmiGuQXF1xch6SayAhTnT4PjYBsGbW2qSAbHvsAmAORu7P3Bv/v6zg+pmJ6ExXx35Vezkc8K1uiyRdxdzokeONFSZSV5zQviW9jQHsLulLFbL1hKQ7SC7t9cYaO+lsgXCQIYDN8x+RkMZhAH5IckFMZzZGD1vdE8lZku7MLVoHYXL5T7dfY7TsHgzJ5yJccVyT8vk1bs/S6tivxqMcDvhWVRZMNiB5Lsb2eO2HryJMffcChDPJ80kWnkid5BEIHYVWIMxWdS+AHeLjov4S/09lGM42m9quaLCto5PO7yW9CwitbDgye9VTiyYg6WqS1wB4Vlz0UaUP0XAmwn2AzB8x+gBU1DUAFpI8FcDhGhnxsog6tmclNe1XtZbDAd+qyqYG3ArANEl9qcppUXUi9Z0RerjOAfAKSefGqozCsqqMlvpvoHh1Sh2ddFoPLrfGz0/6TmKAL1r90s6oMktaQnLNpATIVQHcidAD+drEYA/Usz2rqrxfoeZyOOBbaSTfCWAKufL3vTy2kX4DgB/E97xX0lfGOStVO7g8Kekukvdh5ICR0nGrmz0Lvq+Ozl9bcWRkxedJuhoASH4sMZ2q2uU7dXuejjA65ImSzgOQTTIzFaMnQErJQ7/boNexX9VaDgd8q+J+jG5NsQIhwD0JYC5CW+63AhjvgJ9VpzwA4BOxHXnKvp0dsZR7PLXDe8euHAJRvjXFMgDnIUwOcyeAc0geKelT7VMAUE8nnfzIihMxVHZmJsl8ZzMCSDrDl7QXw5nEfzBOio4wd8IUhLFlehnvTk9FVNqvolrL4YBvVcxFaHee7dALEHboHyHcpAP6MFhVrjrlNwBeWSKJK+L/WwHMI7k7gF+QnJ7v1t/FeRh74HszgBsRboKeA+DVPdLYD2M76aS2f89fTZSanrAmLwOwdsuy+9u9sRuFXqFnkDyQ5OzENux1bM+qqu5XQM3lcE9bK40jwyL/CKEufzmAQwB8D8DpE9njNubv7OwmZsn1r5L0+gLvOwvhUn1dhMG9fhGfl9oOJA+UVGmy7XzeSb5YnQc0GzhZVWHL4msBPBMj1Tk3SPodCqhje9ap6H7VZr3K5fAZvpUmaSnJkxCaA34VwE8nIh8MM2WdER8fIimbV7fQhNckT5Z0YHx8jqTsTLlQT3RJe8V1r1aYVB4kD03Ifx2ddM5GuFG9GMC3s3XjMASfjvXI+6rC5BlFxHx06228RNLePZJ5AGF7fA5hAnMgVBMehzA2PgH8vUse6u5MV0rV/Wo8yuGAb1W9BMBzEXbMCwD8MC6fQvJp6M+NskoTqQPYMvc4f0OwcN5Jfg/AZrFJ5g1oP8RwJ3V00nmGpDkk18Lo+vLPIbSjfwVCx53T2q1clypXVDmbImyPNQDMQvgefgzgMUmXFFh/vDrTpaq6X9VeDgd8q2pJ1mQutta5CcBjCAOqnQDgG33IQ10TiAPlD1DrSdoMWHnDNDvwrULyhd3Sranzl2JaiwEszrWc2ljSTSQXAjgV4xzw4xnoKgjfwxyEjnB5S7Mroi5uRQh08xDKJYQb4YW+m3HsTFdFmfmeay+HA75VNZPkJxHO8JdLygLdqX3MQ50T3Jc9YLRWlfwEwMMIVxu7ADi264fW00kHJPcB8G8YObvMOk09hrE3UmsXW9esjlC9dCmA/RG26eNFO3DFHqabIVTnPArgGEkrcgexnuranjUqO5l7reVwwLeqtsfIHK7j3fxyvNRxwJhF8kyEA9/fJWX3My6Kf73U0UkHsfnimSSzM+usDvhZAO5OTa+kWxCqYG5HqJaYgjA/7nYJaZwB4ACEq4XPAHg/0oJmLduzojr2q1rL4YBvlUiqNKNTTapOpL4+ye0RAsr6vd7cwfMw0ru3zDR0VTvpdAqGF8Y28c9GuOHZD3dJ2ie/oES/gKmS/hDXzb7TGxPWH8/OdEXVsV/VWg4HfJsMqk6k/ikAm+UeZwqfUcbRJdu2HGGxqeiqdtJp7U3LmK9TSe4M4Nt9bJpZR+/QP5A8EiFG3QoAkj6YsH4dnZ6qqrxfoeZyOODb0FPFidQlXdjhpas6LE9VZCq6Sp10clVImfxcqN9PznE10xjmJMgHtj+ndDiStB/JbRDq/m8qkYc6Oj1VUtN+VWs53PHKJi2GmZ76Na9uVyw5pV7ZTjqDaBDKMgh5qEPZcniKQxt6JGeSfD7jkMgks5uDY5q19Sk/yVPRkTw59zg/OffQ/UZJXkLyPJJXk/wWyayFUt/KMlm2Z93lcJWOTQZXIk6kjtBk7XCES+G+jCHDeqaiq9z5a4CsLWkXkj+TtAfJf4rL+1mWybI9ay2HA75NBvdI+vgEjhBZ91R0wxaUupL0wERnYYI/vy6Vy+GAb5PBhE6kPg5T0fV7dMvxIpJzAGQTeGw4QfmYLNuzcjkc8G0y6utE6lHVqejq7C08KCRpPoD5QN/H6J8s27PWcjjg22TU94nUUX0qujo66QyK7Ey09cZiPwPvZNmetZbDAd8mg0GYSL1qZ6M6OukMiqPj/9b+Ef0sy2TZnrWWwwHfJoNBmEi90lR0fej81TeSror/r295qW9lmSzbs+5yuOOVDbU2syMtR2iS+QYAG0g6jn2YSJ3kqzF2Krp7EqflMxtXDvg21Ehui7Hzyb4AYYakd0t6SZyJ6nV9zNNATalnlnGVjg27CZ9IfVCm1DPrxQHfht370H4i9X4alCn1zLpywLehNggTqQ/olHpmYzjg22Qw4ROpD+CUemZjDNXIcWYdLJH0qKRH4vOJmEh9Z4RqnN8hTEW3DEC/p9Qz68pn+DYZDMJE6oMwpZ5ZVw74NhkMwkTqgzClnllXDvg29AZkIvUJn1LPrBd3vDIbR5NlSj2bHHzT1qwGk2VKPZvcvDOa1WOyTKlnk5gDvln9HORtIDngm9Vv2MZct4ZwwDerx2SZUs8mMTfLNKvHZJlSzyYxB3yzekyWKfVsEnPAN6vBZJlSzyY3d7wyM2sI37Q1M2sIB3wzs4ZwwDczawgHfDOzhvh/z/NQbwKYyM8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_after2016.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 한국영화 장르"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = kmdb[kmdb_after2016['제작국가'] == '대한민국']['장르'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": true
   },
   "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>장르</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>드라마</th>\n",
       "      <td>1591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에로</th>\n",
       "      <td>637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>멜로드라마,에로</th>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인물</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>멜로드라마</th>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,가족</th>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>코메디</th>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,코메디</th>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,에로</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스릴러</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,판타지</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>실험</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에로,멜로드라마</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>어드벤처</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공포</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,멜로드라마</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>코메디,드라마</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사회</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>멜로/로맨스</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             장르\n",
       "드라마        1591\n",
       "에로          637\n",
       "멜로드라마,에로     96\n",
       "인물           84\n",
       "멜로드라마        76\n",
       "드라마,가족       61\n",
       "코메디          61\n",
       "드라마,코메디      50\n",
       "드라마,에로       42\n",
       "스릴러          39\n",
       "액션           33\n",
       "드라마,판타지      32\n",
       "실험           28\n",
       "에로,멜로드라마     27\n",
       "어드벤처         26\n",
       "공포           26\n",
       "드라마,멜로드라마    23\n",
       "코메디,드라마      23\n",
       "사회           19\n",
       "멜로/로맨스       16"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = kmdb_after2016[kmdb_after2016['제작국가'] == '대한민국']['장르'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1de57f02080>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmdb_after2016_kor = kmdb_after2016[kmdb_after2016['제작국가'] == '대한민국']\n",
    "ero_kor2016 = kmdb_after2016_kor[kmdb_after2016_kor['장르'] == '에로']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": true
   },
   "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>장르</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>드라마</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공포</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공포,스릴러</th>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>코메디</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스릴러</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션,스릴러</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션,범죄,스릴러</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>코메디,드라마</th>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,스릴러</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,멜로드라마</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>드라마,코메디</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션,어드벤처</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인물</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션,어드벤처,SF</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SF</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공포,미스터리,스릴러</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>어드벤처</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>액션,SF,어드벤처</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>멜로드라마</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              장르\n",
       "드라마          112\n",
       "공포            87\n",
       "공포,스릴러        48\n",
       "코메디           30\n",
       "액션            27\n",
       "스릴러           27\n",
       "액션,스릴러        25\n",
       "액션,범죄,스릴러     20\n",
       "코메디,드라마       17\n",
       "드라마,스릴러       15\n",
       "드라마,멜로드라마     15\n",
       "드라마,코메디       15\n",
       "액션,어드벤처       12\n",
       "인물            10\n",
       "액션,어드벤처,SF    10\n",
       "SF            10\n",
       "공포,미스터리,스릴러    9\n",
       "어드벤처           9\n",
       "액션,SF,어드벤처     8\n",
       "멜로드라마          8"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = kmdb_after2016[kmdb_after2016['제작국가'] == '미국']['장르'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1de587302b0>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PaWdg/scnQB/yTPmr9ampe203lfxSedlMi0gePdvrwkT0PBHJRPRSM2MuJqLvENHDRJQdbVxnIZZg1THzVmYuZOYXQ44TM28yHmdrmd1xlu7TpbCSOuQ25cPZu2y3qC9a/rBiEFWWJdumbkazs5hIENGHRGQNO/Y1IlpNRCuJ6H+NwxaIWY7FGLOIiLYSUaHxGA+xpzH00amJJVjhOQ8TiOgDmJs6Ox1ESJ8t75izwvrjzBXW+z6fI23dkWybugkJCRYRTYCI194Z9tT3Acxn5tkAehBRpM9gbwD3MfNcAA8D+DuARxK2uAOTaLWG7cx8Jc7eNNCkjSGCPFg6esG/rY+M32m75cu75PfXmmkR7UrcXg0RDYEQmosBnENEVxrHn4NILxpGRKsB3ADgOWPcUgDziCg99FrM/ClE1dMH2+JFdBRiqX9HCtZ2JFu6BKnkHZNneR2ZTXteKc041+fVofT21VFATiGFXVIgxQHVJkm6RYVulSTdopCqSORXNPLJOvwSSwGZSZeIdJmgSyCWSNIkiXSSJJ1I0iWJVFhIhYIALFChkAaFVMgQ/yqkQSYNsqRBljSSJR2ypEGSdMgSg2QdksSQZB0kMySZiRQGyQwoACkQ7+OO+f7QWI9nGBH9GsBwAL8E8HsA9wD4DRHlAkg3jv8UwDAANzLzf4noZQA3A3iZmT1EVArgT0R0AkLgtgFY0cavKKnEEqzXoxxf1daGxEFc//EmibM8tWrInL0pVZZJqvrxiF6S45iKng27aHh1EaXXMtf4h7DqTyOnTyGFbSQ5euqyI12yK3bJLkkgSSdN1iVdlsGKAk2SSJUgazIUH6mkyk26Jnt0tjSRLnvBio8g+wiKTybJr8iKClnxa4oc0GXFr8myCkUOQJIDkiyrkiRpsiRpiiRpViIdkqTLACtEbAPgBGDXSdJVKKoOOaBCUVXIqgqLKn5WVBWKpsKiBWDRVCjGvxY2ftZVWPSAeHAACquwcMB4GONIFccRgBIUXqgnRVcJii5pkGUdEmmQpXS5phGYEs9/w2vMvI+IpgCoZmYdQrBeA+AC8C0AF0IE8Z8iokaIKeBuGE2FmfktAG8REbGxhYWILgu5xw+I6CkIkXuKmUujGUNEbzBzs3uHiehXAN5l5rMWXohVXub/wg4dN47/ut0sio5ZubEd2GW17tvWTzr3Wxu8a8u2nlBuqjqnqfycD/VtowdaHqv6jmo95FO+2bBcma6s16pTjkrFuqRypSWQekS29D2eKklqFsvSQKXROUBvsNlUr6LDL6uKhgaJteOwkMYOySqlSDarQ7FLKUo/zamk6U7FRXY5xWKR7HYmyRaQNMUPTfJJqq8Jfq+X/L4m8mv18KteCgS8FJD8CPj9pFlUaHYNOnToMgMMAkmSqkqS2igrAa8sqz5FDvhkOeBXFH9AVgKqIgc0m+LXUuQAy0ojRxFFqyGKFknSrQDbiNgBseDjIGqRF/dynH1//0VEGoABAJxE5IPoX3ARgHoA1wL4N4B3ILzJ4QDsEGGdS4loUEhu5BtE9ACAFyA+44MAHAKwDmEB+GaEyRL8wRCmKwA0GYc2M/NPkIRAflwBQSL6PjM/wcxXt7dBzeBN4r27LG+6Ug6rCo3IPPxx79KBv7V+efAl+zz1u2UNpbvUC8f8WT40rW/aS9rNjf9Xdp2iHKy3TPLvdd3gXHZ0wYhNacesVc7lKUeqVtl3aVwjWweWk23sIQRGHWF7apMj3W/vz3WuQZ461wBvfcoA1Erp9oAasOmBep21inrWqv2sn/CzXmtjvclFUDNsssPlkF21KUp6fYolvSlDSWen4oJDdkk22aFYJLtTISWNIPUkohQA0KGrPqiNPgrUeRFoaiJ/U5MQPLUJfs1LfvZSQGqAKgdIVQLQ7Bo0hwZ2MtgFwAWKHc+VJNUbSxQNT5Flxc+yrEJVrcdiXdcQhGkQguCEEKE7AezDqanuAAjvyglgEYCRAH4G4ASEpyURURqM4DyA/wB4kJkLiei3ADIBREptsUQ4Fk4vANcyc0kcY9uVWImjqRAKek1IlnudcV4wzaCRmc9Gid+m2ENMEmW505kKAEd6qjX9qr/SDve42LW07F/nXZp166birYNYc21JeXj8L3zHc9Iyn8m559AXvhmZm4onHpXLG22pvsYBVzSu8zwgF/rGU/FgX289/fNse9FHKc7aTXZIterBfsMqDqoTSlYGRpWyPqYalhQvsnXJKtenDCivc2Ufr3MN9tanDlS9zp5qQHHKzHqPBq5X6/UTTew/Dm6q0HX9Swl6ncJ6Uyqg9gG4NwCSSWl0yKknnEqax6mkNaQo6b4UJV1zKi70lFMtVinDaZFsqTLJ6QD1IqKI73cGcwBarZcC9V74G7wUaGwiv78Jfr+X/GoT+eFFAD49IPuhyoGAZgtAs3uhO3VhSxooaunuZ2P9HzDz74joXAgPagSES5bCzHOJqAjAFojmrFcAyICovKsax3pBiNhFABohYlyFEKVtPiaiKgA9AByF8LA6Nc1WayCiZ3G6y8cAngDwCk69+HeY+YN2szCIO30hxLeGSRvhJWqaOjiLQGS/boW26sr1jvGrZjxi8de/s0FXS2YvyLxxtcXRc8h71g01qb2KtVGjVzkaZGefl3DL9nWYORZ1aq1SVFcqHfOOIMbAUXSo+Hp5aell8oaUvqgZSwT7AYtyaLnTWbbCaVf3WK19m4iG9avB0TGHuHx8CTcNq2Bb71r0UzQMJkDSJGtjQ0r/8rrUQcdrXYO89akDJa+9l0u1OPsypEwQEbPmZ91TyVrNcdar63WtOsBajcRcZ4fuTQMCfSA+yKGwVXLUOBXXCafsqkuxpDelKOl+p5LGDtkl2WWnxSLZnYpkcUmQe4avusVChdbkQ6DOS4F6LwUam+D3NZHfT8D/Xvbwjf+NdT4RlUN4O7sN28l4DIaIGacav18A8eUtQ4RJUgD4IZK8+0Ks5H9qXPMPAPZACN0aCLG7HGLXyGxmLiGid5n5GxHsOQbh4f0MIn72WLiHRUTLIFIw3mPmnzfz2uKJh8UcAyTQNcfwtqYy83IiWs7MZ7dRpDt9AYDPzuo9uzgFKc6NeX17nwcAI8v4q4de0s7ZPPFHK05kDJvuq/nnXsA/dnrfr68YmHLOjOWWnauLpcoZg3O2fZ49aMcolZS09/DtDUvwjcwALEOlKu82ZX9dHdUGJhCQboev6VJp467rlWWNU2hftpXUIYAQyfV2297PUpw16+12e4Ui5+hE/awBbhx+GCXjS/Tjo0tZzzqGdFcTBpP4kAEANEnxNjr7l9e5BlXXugY11acMlJocvVNUJaUfk5QJopPTOmbVK0TtxHHWqht0/bjGWg2xXucAe9MBtS9Crh2OBMlvl1OOOxSXJ0VJr09R0r0pSrrqVNLgkFMVq+ywWSRbikxKOqHZqryzsvJnxew0RUS1EHEmC8Q0LwuiOokdotDAcgC3QnhQTRBxpFwi+hhiqnglxFRxKzMvNez5CmJLXT6Af0A4HFfiVNC9hIj+a9wnFUAlgOchPLpPACwwxnwMsdOlCkI0t0B4g48C+CczLzZewxLjOoCYgl7HzFtCRZGIciBia1bDvjuZ2R9NOMOJGcMioluNF/EzCFcTODOh9GxwMAn37NK87Uo9GdPYn4mhDHhHf/XKsHXnu8madmOav/b52rVH35szqee8lfPTps4ukwfs/KREGlJWNsY2avSqdd/usXj6t2mxZTVmb3qlz81yXd++s6CxVy5rWMcl9fK73hlT3vPPUAAghypKr5eXFV8hf26f1Vg9ZnaTN/jGRqmilBc6HQeX93WoBdnWXotJGgEj07u3h4+MOcSl40u4cfhh1dLHU9Yvtb5syoCKtae9d3WS/Y3OfuV1rkFVta7BTfWpA6nJ3jslYMnpw5ZhE0B0RnCY2d/AuucoaydOsFbdqGvHNdZrJNbrHTp7Mxq1ur6NWl3/al/szRwWstbZFdcJp+KqTVHSG8X0NE1ncGUWZsXz31GHUyvhGoA/AZgF0cdAA/AhgIcgtsmNBDCTiAoBjAVQDCEkKwDcAZGb9TBE3Os2AAGImVEkge4N8XmuhBDLWwDcFDbmKIDzIaaWKoAanNrb+2simsjMP2fmK4InENF9EOkY4TwK4FZm3k9Edxv2PtH8n+YU8RTw2w7xBwAz/9g4dlpRv7OC6EnoRUfNt+mEnDs4e79fopPNLl74i7rL6cfYz6f+am1jSv/pqnfTWrVpxXQAGJl23tpJPedP9ZPa+IF1484aqXGGw+E5OG780iN2e8P5ALAX5+x5FncdL0f2NBAp8GnHlAN1u+Tyxj6k8ZjgfSxQ/fOlLV/eIC+tmSbtHuigwIhQu/yAb5Pdvm9piqP6c4fdWqYogzWiAcHnFZV9Q4+gZNxBrhp7kLVBVZzmakS2FKX2lE5SoNHRr7zOlX2szjW4oS41i5ocvZ0BS2ofJnkgosS2AIDZV8ea5yjrx0/oWrWXteMq6x6Z9Xon2NcD0PrilFcRiZ73L15yItb/BRGth/A6rBBfzjsBDIFIDp0O4GkI78oH8RlIg0hnuBBi9f4RZv4LEf0cwtPqAyE8dwFYbPyeAZGq9C6AywzvaSlOD/uMB7ADYhFgjDHmPgjPrdCw1Wqc8xFO97Bexqm+C9E8rI+Z+TLjZweAl5j56ng9rLgqjkLMYfOYOc84dvanhADgTi+H+NYwaSXlinz4suyBp/0tf/uSunJUGWbXpA3Zs3nKA6MAwFf78mrWjs4EgOyUUZsu7HPVKCJK2SaXrN2g7B8HQlrv3gc3jzxnjUuWtREAUIU+Ff/CnV9tx6TJMGJBVBcoVopqD0pV3uHEpzcTGYBjFdcqy/d/XVorD6bKMURnfjMfkeUjK5yOkmVOh2+nzdqjVpJGQLzhT9KjjqtGl3LpuBKuG1nOSr8a9LGqyKFmelnqJKlNjj6H61Kzqwwx4yZnH6ff4urNJGeBKOYqGuteD+s1R1k77tH1400sPDWF9UbL/a//54JY5wMAEZVBCIoE4cUch4hP9YCIW/0QwGrjuAtCzCoA/BHAC8z8QyIaAzGVexHAbyC8rGkQXpoFYkpXCRHrms3MpURUwMy5hg0EoICZLyeiOgDjDcH6OoA/QKRXqBDe4B8giiA8yczvGOe/z8xXRXhtoYL1ITNfbvwcKlifQcz4nmTmqLHqeNIaiJlriOi/RHSnkZu1JY7z2oMSmILVJrydmrofYX/LbUMkeVSZjoza4lEWf93mgNU1xeq6doqv5sn9gDastGHPuT6tcdfc/tdlTtRypufofUvfs244eOzY4CnHjmVrQ4ZsWTkw68uxfagq82d4KLMJjrrXedGKZbh4mO6yDAlM7jUEzCwd821Timprg/Guw+id+ai6MPNRLIQMTZ0p7dhxg7z0+ExpV18nvKOIQP01rf+1dfX9r62rBwAEgMA2m2330hTH0bUOh+WQRck64aJBa8dQn7VjTr0mWePA4KPYZ3hj/pxKdqU3IktiUV9NYl1JaawclNJYOaj/0Y2n/Y0YpDU5epfWpWZX1boG19e7srjR0dfht7p6MykDYfQ2IMmeTlL/dCj9w5OSvkrgv2RjWJznPma+j4j2QojMXRAB+ABEDOsoMweI6H8gpmyAEKe/MPOjRHQxxAr+XCKaBSFsjzHzfwwBCSaNeohovJH8uRDAeuN4+cm/A/N7RFRhXD/IOIhFsIKQY6cldxsLF+Ea4yWiIcxcDOB7AJYZx+vbysNaxMwvGz//E8A9HOuk9sKd/grEPiqTVnJ5Vua6UovlwtBjQyu4KP8FbTgAVPY9d+OuMbecBwC6WrHXX/faIIgAMDKsffdfPOAmh0TSAB2sLbfsXFUsHZ0FgqwoPs/oMSu2pqdXTicSOT4aJPW/yF3/Fq7N8JLjlJxo7JPLGzYrxfUyvNpkipAT1Bs1VQvlFXu/Ja+mYXT4HIk4fPXvJMdkqWqlw1G8LMXRtN1mSzshvLCI07W0Bq4eVcal40rYM6qM5X4n0NseQA4ZrzEWDNK99l4VdalZlbVpgxvqU7P1Rmdfh9/i6qlLliyIoPd/731q/mUxL4YzvJAcnBKsF4yfa4jICRHbOgdiWhgAYI0UniHRe+EaZum4DxQAACAASURBVH7A+P1xiJiYB4DKzBcZxwcCeAnCmyuBEBEfxHQzN7gySET9IKZ5odwD4Alm3m6M2QuxYCBBrFxWAnjcsD886G7BqaB7oE2mhER0M07fIE04PeCuMfO/Y92kzXCnPwwg6vKpSXxogDYpJ7seYUv3ks7aa3/UvCTevCic9eheXbaOBIBAY+FKzbd5dnCsU0k/fHnWbV6ZlKEAUCpVb//Esq0nE2cBgNN5onjc+KXHbLamqaH32Izztr2A23zV6D0VFFJY0KdVK8X1u+Tyhl6k8thIdhN0fRrt2XOjsrRqrrStlwuNo4miZ1prgLbLZt2/1Ok4strhkIutlgEBIOe0+4a9/uwqHBx7kCvHHmLf0COcklGPgTIn5tUzwF57zyONjn7PzVz39q9ijTcSR38EEbcChGhmASgCMApAGYSIZELkWmkQ/0flEJ7OHgD/hMjfChX0/hDTTIaYDm5n5kVBcSCi2wHcaNzjIIQQFkEkmAZzvXYZtg2E+OwNgAj8A2J18nJmPq1kUXiKQiQximdMxL9VDMGai+YrOmjMfPY2V7rT7wAQvl3IJEHW2u077szsG7HJ578eVbenejEBAEoGXbLmwNCvzwg+5/M8+wXrtecHf7dJzurc7DsqLZJtDAD4EPAEA/LBMX36FG8cec7aHpKkn9bJuhSDip/GPWUHMHwqwlICQuJdw4gRtehcOuprviWv2n21vFIbRYdGyMQxy2jXSNKJ1Q77/qUpzvotNltatSwNCxfucFKa2HNOOR8cV8I1o8qYBlSjp8OPISQSNpvjR6P37H48lk0AQESbIaZ2BJGUnQHhEf0NpzysWwHkQghVMcRi2N8gRKPR8KKmIKxxDIBXmflpIzXpAwBTjXt92wiKvw7ADRHY/yGEWF0DscLoAfAWRPxsI4CLmfk+w+Z40xjWQwhh1DSGNsnDIqKnccpNZ5xaoQv+7Gfm8Lo97Yc7/RKIKqcmreAnfXsXfprinBvpuV+/qq0Yd5DnAGJ1rXD2Y8dAciYAsN50wud5qgngUyt2ZKnPzb5zr11OObnDd5t8cM0GpWg8CGniiK4OHbZxzYABX00kOn1p3YP0Y//GbbvW44KxTNLpq3wi3rVD2V/rIY+IdzX3uiZR0d4b5KUVF8mb03ugbmxwStocDPAeq+XAMqezYpXTzkUWS38f0bDQnK5IELM+sBqlYw5yxbiD7Bt6hO096zBA1pFFpz4nl4zes/vTWDYYQe0/41TcyAIR2xkBsTJ+H4QIfQCxv9AG4UgcgbFX0BCB1wHczMzekGtPA/A+hKckQUzZ0o1rbYWYVr4DMR0cASEs/QAsZebvGdd4E2Ia93OIfYmhPQMeYeYPQ1cSwwTrHQAPhKQxyMz8RLwe1Rl/qxiCZTFeJEEIxcUQy5mjjT8AM7M/0Zu2GHd6DsQ3i0kruHBw1s56SYrY0/Cqz/W1i5br04O/7xl5/YrDA2bOCf6uBYq3B+rfGYuQpXAJkv+yrFs3uSw9T8bEPNRY+p51Q42f1JOenKJ4j48ZW7gzLa1qRvhUzg+L9x0s3PAhrspSyTLkDMNEvGuLXFxPJOJdUVf+ACAFTXVXyWt3XyOv8I2nA0MU0rOaGx9KHVHtOuGFeTbabSlVsjyMieIqdezwcd2Icj44/iCfGFnGC7/12e7KWOcYG5UDzPw3IvoQwDcgPJePIFYCcyBExgEhUL8GcD/EVO5LAHOZuZyIvsSpOFM1xFRyIoAiZp5qxMCWQKQuHIcQyVyIKeh9EB6Sm4guhyj+NxIiz+thZr4yNLZm2N3uaQxn/K3iCLrfCpHWfzlEtuzfASzms9N44kzc6YdxZvDPJE48klQzc9BAV6RESgDIPsrFf3lOOykYqmyrWznzL3rotMlfv6RQD+ydG3aqviBz0ere9oEn41zhAfng8ZTU6qJx45Z5rFbvueH3Z4BXYP6G1/BdWz25JkZ8EX7tuFJcv1Mua+hBKkec2oYzmg4euEFeWnqpvCG1DzxjieILrgfZb1FKljmd5SucDm2v1dK3iWhEtL+hQeWOm3bE1TiFiDIhplxVAIZCZLwPgkgbOB8iL+pOiJW+yUYwfinEXsLzIVbvzoH4fB5m5vnG9PAFiKleTwALjGs/BuAAM99Nwot0QhQD/A0MwTJs2gLhwR0G8EtmriCi/gAWMfOfjTHtnsZwxrXjEKxdEC7lQAhX8UFm3hbvDdocd/obAJJZNaJT80pa6rr8Xj0vjDqAmRfna7Wh06+t4+8pPN5r7NyQIbrP88/tYO+k8NOn9/1GYXbKOXNDj5VJ1Tv+a9nWIxiQD9KvX9H64SO+6CtJek4kU3ZjzJfP4a6aCgyYFi25k+oDB5Wi2mLpqHcoMQZFfV0h2OFrukzasOt6ZVnjZCoaZCU14v2bo5GoYb3Dvu8zp8OzwW53VCjyECbqEzLkwx037ciN93okSh6/AuE51kN8sP9hPJcLMRX8N4Qn1Bdis/NAiPjQbBgpDRDTxUqI6V0FRLB+hDHOajx/CTP7DI+rCcBrEMIWKlj3GueFwgDeYubVxpjwOFQwjeG5EMF6G8D9zFxMRPcAADM/2Z4e1nJmnkdELgC/BbCDmf+V6I3aDHf6jyC+JUxawDUD+q/abbM2u1fk2cfUrWlNOClGXlvGkbUXPNQTIY0RWK+t8HmetSFCV5jJPResGJF27mwKWY3zQ61937pxR43UMCN0LJHmHzZ8w7r+/fdNipQwCgCV6Ff2HO7avwvjp0C8DyMiHfPuUIpqTxjxrqj7BMMZQocPXS8vK7lC/sKRieoxRGKVNFEOKkpZodNxqNDpCByT5SUf3L7nz/GcR6eqjf4UQnTuBvAAhIPwR4iVv8sAvIxT6Q6vM/N1wX+N6+RDCJcM4BNmftg4HlwV7AHgC5yKlR2D8NyeRJhgGeeFp4QMAXALn9rx0u5pDGf8reIVrJDf74NISHs60Zu1Ce70cyFWK0xawMSc7ApdTEGi8j+LtRWTD/Cc0GPrz/uf1fWpWTNDj6m+HevVxk+nIQLnpE1dO7HnvKkUlil+ZkBeYLE0HRs7dvnuVFf1DIpSm6oBTs+ruGnrSswbqRsLARHR2S+XN26Wi+tATdqUWPGu0+yA6l8gbd51vbys9nxp9wB72LahBLgMbk88VRrCi+PlQHhFTTi1IbkfhAhVQkwVD0Jkr2+EmAr+BGemNIQyDsDHzLwoig3BVcJQDysNIms+tA6dBcC/Y3324xGj9hSsgcxcHnbsO8wctRdau+JOlyE2Xza3f8skArutlv3XDMwcFmvc1zbo6773mX7atLEuNbtow7k/Gxaew+SrW7yS1fLZiMCglDEbL+hzxRhj6nGSSAH5IC5X1Vdjxy1vslh8Z0w3g6iQAx/iyg3vYmEvH9nPafbF+LUTSnH9jkTiXaEMRFVw25AyiI6OjuYFhqEB6Am3p7a5QSTSOXYBCGadvwCxWjcKYiUuB2JbzrUQ0zGGCJa7jcdkiKoL14Vc800OK7RJRD9k5qjpFSRq3f0OQrB+ZxwbDDGV+2Ecrzf8ev9h5mtijIkrjeGM85KVtN4q3OmfQszhTRLgoV49VixOc82JNS6zmkv/9rR2Rv7Tmgsf3uCzZZyWCMqs+nw1T5YAakTh6GcfvHNO/2sHGtORkxgB+dXF0tGZiJD8mZn51edDh20YKEncbPPPDTh/y79xq3YCPc+NlhAahBoCh5SiugNSZdMQYgxubmwkZGjqbGn7lzfIy05Ml3b2c8J3TpSyyRvg9kT0PE+zhygDIn0hVNgyIALhTRCrd04AVzHzFuOc4PSuGJEFq0WeSwTbHADewJmOwfaWiFhb0VkF6zcQ3zAmCTAve+DGY4p8XjxjX/+DelwKi09V9Zqwdcf4O8/wfHTtWLG/9sW+QOTYj7GVxymRdMY0LlpAHgCINN+IEZ+v69vvwHlEzXvUJRiy/xncfbgEQ6cF9/g1h1Tt3akU1R2nGv84amF35r44UbVQXrH3m/JqGkoVoduG/gi3Jy/W+YZgPcbMN4ccm4vTPaxxCCmeFyJY+yHKPs1m5ktCzv8AYnN0KAzgW8wcs2pER6ezCpZZzC9BfATveYOzObzCQTT+73F1U48GnJF2sGLmX77UFPuY8ONq07rVqnfdzPDjQVKU9PKvZd3ml0k5I8cqWkA+iNXaeHTsuGV7U1JOzIjVCOIEMqpewB27NmHqBCYpthDpHJAPN26WD9QxNWmTSayiJQxB18+Xdu+5UV56dDiV/2b0b3eujHlOdMF6GsLD+jtEntPXjN8lAF8x8+2hewxbYm9npbMKVgrECkdCuTTdmY9SnJse7Nv7DAGKxk/f1FZM3cdnTB9LB85dt2/EwohpET7PC2tYPx5RdIDgVp47Ky2S9QzBA6IH5IOkpVXuHjO2MGCx+CfEst8HW+ObuHbjf3H5YI0s8U3//HqNUlK3Qy5tSIfK40My1hOhDkDvkvzcmAnV4YJFRL0g0heGwPCwmPlZolNtu0LOfQHdULAS7fzcMXB7GiAydk3i5G1Xan0i47cMi1zyN6t8xTTStYj97Kxp108ApKiVYX16Y6/3Dz0xyKs1bI70/ERt8IyF/gtrraxE7HNXW9tv9Ofrrp2wf/95a5mpPNKYIDb4nDfixdkv4PrsW/ipL5xcv7258eIFSBnqyPRZvgUDJvhn9ivT+jsKmVAS87zT+TQesTKoBZBDRIVGIuWfIXKrwvkVEYUvGKxAN+wk1TkFS/Basg3oTGyxWSN9EKKydShFTMIksJxVvuJAxOfI5rKmXt0AsT8tIioHUj849OS4usCJiB1c0tmZtcg3e8wQrW8hGFqkMYfLR09fu+a6nkeP5hQyR2xddRIJLC3Ap+c/g5sm/A+7d/bjinVgjnjdUDhFyQ5M7DnXd8nAHP95vXbpGdaVLLa7xOKdOMbAEKDQelkKhGe1wPjdCeB2IvoEoqLCYOO8WUT0A2Z+PnTPYHehc04JAcCdHszoTai7SXfksCJXXJo9MOHtTK/nq0clRt/w45pkbVwx669eRNlfF2j4dIXm3xFrNVK/KPM7q3vZB0RMiQBOBuQzmKKvFNpsDRVjxy094HR6psfb6LQCmaXP4u7iPRhzLozehnEh4l1b5OI6jRq1KRHiXX4AfUvycz2xLmXEqs4LbnMJOT4LIug+G0AFMz9IRD+F2Hi8DWIVMRVin+DzfDbLO3UAOq9gAYA7/V8QBcdMmuEfGemrnuqRHlcnhFD++YS6oVcdpkZ6bsfY2wur+kyaG+k5Zmaf5+lN4IaYK5Iz+n6zMCtlZMTrACcD8jtrpIbp0cYAQEZGxa7RY1ZAUQIRa2lFoh6pNS/j5q2rMXsUkxzXvr+TBHSPUlK/XS6tT0OAJxjxriUl+blXxnM6Ec0BcAEz/zHK869DZJU3Gr8vYeYrDKGbxMzdcrdHZ54SAua0MC4+SnXG1eE7nL0DqTHacyP3vj4WUaYkRES2tEWDAToa6flQ1hx9Z+5ez8YV4UHlIFYoaVf7L5g+NTB8LRhREzFrajLHrlt77Zji4slrmKki1n0BIBX1GXfhibkv4IaeV/Nrq63s2xfPeQAAi5Sujkib5Zs/YKJ/Zr9yLdNRqDvkF+I+X1QduciIX1US0Wrj5yeN51cCuJMEC3CqDHK3prN7WDLEvqiYhdu6KzqgT8rJ9nBY4mY8zNmub7i3QI/oYQHAxikPrKxNGxJ1Sqf5924ONCyZjDhW20aln79mQo8508K38oTiocay96wbTkTKkA9FkgIN54xas6FXr9LziRBXGkeQdZix6SV8Dx7qEfeKqkEtgP5H5k2K2aGciHrj9ITMRyGqJQQFmSGy3x8EMA+iouivmLmWiKYAGMXMryZoX5egcwsWALjTHwfwg2Sb0VH5wm7bdVtmv7inSaFk1HPV03/X+kR7vsHZv+SLqb8c1FyxO3/9Oyv0QHHM7HoAGJwyZuP5EbbyhBIrQz4Uu72ufOy4ZQedztpmp5OR2I/he5/F3UcPYfC00E3fzfD0kXmT4ipmSUTzIFp2RYMh2nFlAvh+2HM6RDWEXfHcq6vRFQTrAgARV5xMgJ/26VX4cWrK3Jae/1q+WiFz9Ppja8//38+9jt5RW1kx66rP8+RusD+ufXz9HDk75vS7JtvIUYpKPAH5ID16lG8fPWalRZbV0fHYEEo1eh15Hnd8tQXnTkTzNk09Mm9S3JvyiWgRRAniUBjAu8z8N2NMsF5VKHMADA+O6W50fsECAHf6TojKiCZhTB+UtaNOlhLe9BvkiSfVL/p6cH6054/3GLVj68QfNHt9XTtR5q993oU4V3R7WPvtu2jAd10SSc0Gwv1Qaz+wbtxxIkqG/OkwDxq0fc2gwdtHEp258hkLL2wN/8GNmz7DpUM0UsJFcuOReZOiTp2DENFwAM+GHR4BUdb4U2NMBU6lOzggqvsqADZDlEm2A/gdMxegG9JVBOsWiKqJJiF4JPLMHJSVGqMyZrN8/31txexdZ2a8h7Jyxp+2qxZns9nnqnfLOrVpefTCgWGkKBllX8u6NRBpK0842+WDa9Y3kyEfiiwH6s4ZtWpTz57lFxIlvg1Hh6R9hkvX/wc3pDWRM/glefOReZMSSi8w4lj3QcT3fsXMunE8tFrnHIiGEDkAfs/MRxK1t6vR2VcJg7wMUc7VJISPUlJ2t0asAGDz8Mh9/UIZfuCdmIFmxT75QpL7rYr3vg1qTdYHh/7pCuj+3bHGTjiVIR8zm13TLK4vd82fu2njVZVNTamfx2tPEAm6fAk+uvBZfGfsg/y77f348CeIc7WaiAYR0fVE9BxEYb4REC3nF5Ho+wec/sVbBFG47xoAi41VxEIS7ei7JV3DwwIAd/rPIVpzmxhcN6Dfql02W8L5V6GkNvKJf/1Na3aFkQEunP1YCUsRmkeEjuNAk6/mycOAFrMmVxCFrHW52XcW2WXn5FhjdbBWaNm56kBYDfnm6NmrdOuoUascsqw1X1crOr9YMH//7+MZSER3AdgLYB0zNxnH7BBttw4y86Eo573IzN9toX1diqQKlvFN82NjufZdnFnWdiCAqXFt8HSn94CoxBi1hG53Y1JOdrkmOvu2ilf/qJYqevT+gACwf8iVqw4OviymOOpq5T5/3SvZSGDjugTZ97WsW7ekWnpEDe6HkkhAXsB6Ts7WNVnZO0cToXfs8SepAzBowfz9Md+fRmXRBc0MYQB9IDb1A0APiHI9oU1Kn2WjC3t35awIFhGtAk7uC3MCWMLMv42149zo/BH/3N3sDH2SryyWA1dnZQ5ti2v97Sl1XeYJNBt/0knxFc5+tBYkRU2DCBJoXLlS822Mmr8V7RYXDfjuml62zLg8xsQC8gJZ9ntGj1m5NSOjYno8PQ0B/GHB/P0ter+RaJH1/Wbe+xcBGNddM9qjcbZiWNXMPJeZ50LMx+MtmJYGURI2Xv4K8a3X7XnLlVoWe1R8fDmIfLHGSKza+h3dGFdukMU5ezZJ6YnGj6TPDr84q7xhX2E8g61Q0r7tv2DGtMDwNWDE3NsHAJpmTd+546I5mzddWe71OtfHGF4H0TAiIYhoshGD6gPgQSK6kYyOQESUSkTLiagQwJ8A3GPErD6i+HLBujwdPegucSKNWt2eagBPtJ85nYelKY6EMrybY/Pw5nOigozc9+ZEMDdbPSGI1XXDKKD5EjGRWH307bn7ajdH3coTjhGQr4snIB+ksTEjZ8P6b0/b/eWsTZomF0UZ9tiC+fvjqd5wEmNj8y0A/sLMl0IE3Q9AFOwDM9cz8zzjy30ygFUArjLGRPVcieiNOO4dc0xnoCMI1oiQ1Y9CItpGREXGt8wg41jEbh9R+AsQ3zdqV8UP+I7Kcpvlpe0cRENZxFiaxaI29MjwFMWVPEmSI8OS+o1qIHIJmebYXP3pnB0nVq5lZjWe8UbJmrFDmylZE4ljx3LOXbvmuiFlZaNXMp/m6VdD1K6KCyIaS0SfA3gGotNyDonVWydEe69pRPR5yGcgmFAqQ3xGGcBJ78t47KdTfRAtIfeaYlxrHRE9Qqfq3Mczxe3wdATB2hecLhpTxvsBPBF6LKFAo/CyftlOtnYKVjgdu9DM9pZEabJTmirHV8hu9J6XhyFOIZEtQyZI1lGrW2LTbs/nM9Yf+3BLcLUtFhJInh8YP/eywKQviSliAcIoZ8rFB86b/fm6a6Samn4rmKECcC+Yv7/Zjjhh/AXAN5l5FIDlEMmjBRBNJPoDKASwH8A+4xFawHAJxALF4RDvay6ADxC5hv6fAeQy84UQQhd3M9fOwNkSrEDwmwGiu+2e0CfbYe7+JIBNrTW6s/KWKzWRD1NcVGYgrgoIDu+xLGdjZaz4z0kszq/NAjm2tMSmkvqdU1dWvrEvkTLBWXqv8d/xzU7voaesSeReqmrL2LH9kjlbt3ytEMBT8Z5HoiFGAzMH/373Ayhj5ssArGfmP0FksP+CmW9n5tsBbA9531/BzLcB0InovZDP0ZXA6cULjRLLFcwcnKr+C82vTHY6zopgMfPCEG9pBjM/Ffb8aXN3Zh5pfIs0O3ePitujA7gLYqNot2OT3Tagra+5czBFrSIazqivXo67Cw0RSba0RZmIr5rnGRxpKp7w6eEXq3TW404cDgnIr403IB+kvr73Iwvm74/Lg4wC4czp9X4A7xPRF0S0BsCbEA1S/Tj1Hu4DkasV/BwNY+aqCNcPf88H7zXcELtEV2c7FMmeEqpoXlQYLWsEALg9GwH8s0XndmIqZbnSK0kj2/q6m4dHri4aiYza4lEWf13Euu2RIMnV3+K89ADiiJNF4oT/yIiPyp5RNdai1pOPxARt8PQEA/Jvud3uTxO5BzP7IOJPwS+R2yE6KoeO+TuAHwN4CSJr/iOITc6rmTnUWz7ts0JEvUl0aA5epxrAADpVCfZWnOouVWQIXcxuPh2ZpAoWM98W9h8SzjK0LoD+C3SzLTvvulLiL0KXALuzaSgnECAfWfRGQt6tbBs7VVKyW/xhqldrspaU/tOp6v49sUefIoGAfC2AljYQ/QmAt4hoPURt9khd0/cCWB32uCZEkGoBfIOI1hue2GqINmDhuwt+CqCAiIIVTD5qoc0dkq6zNSca7vQbIOJm3YKrBmauLbZaEq7/FA8v/0ktsqoYHu/4wlmP7tVla9zeHrPm99U8uR8IJFwGJoiFrLW52XcesMnOqK3uo1EmVe/4xLItXSeO1IDjLrfb/X+JXjOkRnsJgP7M/FLIc6EbnYMxtdCpdw+InR7+kGtNMjwyRLpOM3a0SUfoZJPsKWH74/a8im7SdFUH9BKL0tI9cTE53DMxbzXn4EeRYixRIZKt1rQbHAASakkWSoD9ae8fenJ0faAm4Y3NWXqv8Yt8s3tECMgXwsiVigURvWvEitYS0T8gUhNOPogotGVXqDj1BXCjEbv9jfH7CQCfENFnRnpC8DrhxJOrGHcMsiPT9QVLcA/QfDuorsBmu20Pi5WidmFHDiU0zRtU+tk0sBbX6mIQSe6Vo9hnbEvMstPRodk+LHt66nFfRdzVIYJYobjCAvK1AG52u91xTUWY+RuG6HwbkfsGnhQdZl4YcvwIgJeMFcB/4NRn8yfMfFFzibLMfE0cdi2MNaYz0D0Ey+3ZB+COZJvR3rzpSm3XRgWbhyUmhhLrlgEV6/Ymeh/Fcf4MknollHYQDoPlTw+/OOtwY1FhS86foA2efo3/wroeesrtbrc7rmA+ETmI6E9E9GeI1IdlCdxyP4ArDbH7JYB8I0ge9+JFd6B7CBYQnBo+GXNcJ2aVw55wo4lE2JtFwzjBqcXw/W9PAXPCCyfWtOsnAlJJoueFs6ryrblFtVvi3soTSho7C3/025/+J97xzNzEzD8F8AeIzPIPjad+AuCROC6xhIhiBfa/T0QfxhjTZek+giX4MYAvkm1Ee1BHVFsrSe1aJjqgkN1nQcSuz9FQNJ+r5/EvE04MJbKmWl0LmxBffKZZNlV/MmfHiVVr4t3KY1AEEUpICCJyAfg/iKlcUCT/CtEBBxCpG3YiSiOibCJaQETBRZIrmPnx4KWM60lG4b9g1dcnmPnyRO3qKnQvwXJ7/AAW4lTNoS7Dx6nO3TB2/bcnZb0T7483au+ro5DIJnYDSRk4WrZNbJMGI7s962auP/bh5ji38jQA+FZW/qyEKn8YKQivQ5REipZesRqi2uibAB4CcB6A8Ez93QDuNuJZH0ME4cckYktXpd3f4B0Ot6fUSHX4GF1IsN9NTY1ZAqYt2JFDGF6R2OzK7qvpn9pQvro+NWtmovezOBfM0fz7N4DrYzZ5iEVJ/c5pXq1x++x+Vw8mouYaYtyalT9rRzPPR8QoRHkdM0cVOmZeCmBp+PFTe5QBZv4KwLQIY+YmalNXo8t8YBPC7fkUgDvZZrQlX9qsMZs1tAWbh8Uu0BeJ0Xte7o8WJv3Z0hYNBahNEoCPNB2Y8NnhlyqZ9cooQ36flT9rcUuvH0GstLBHNGLt+gi9VrelewqW4CGIHfOdnv0WpUQlirMccOsoGoBhDCTszbnqS4fb/J64+/aFQpKzlyXlygq00d7Q4/6KkR+WPevXz9zK8x7auNIHM69i5meY+dPQpNEI42Lt+ghe6+/NjenqdF/BcnsYwHUAEk4w7Gi86UpNaA9da9BksjRZEa2oXbOM3Lu4xTWZZOvwyZJlWJvtg6tXT2R/ILbyBHsAfgHghqz8WTG9QCKaRkQ/iXB8ccjPz4TUrhpiHHsudO+fSeJ0X8ECALenHsDXALSovElH4dMUZ5tVF42HQ31aVlmhT/X2SbLq/bKl97WkXDkTZEs4thQNr9bQ5/3SJ/s3BDwFAK7Iyp/VGOepEoB7wwpPFkJksmcQ0UMAKnFqT+CtRHQ1ThXkM2kh5h/P7akBcAmAuOqRdzT8gL+yDauLxsP2oVKL3zdDiz9o8WZ2Ikmxum7sgTNX1VpMQPd5lpQ9dXdW/qxERgFqLQAADJdJREFUVo4ZwPMArgh5XAUxZfVAFNH7N0SW/Fbj9yVtZXN3xhQsAHB7jgG4CKLaY6dilaguGqnyZLuxedjJpp8Jk1W+YhrpWgIVP09HkjOyFOeChCoyNMMRAAvuX7wkUXt2Qex3vCvkcTuAR43cKxXA7yFWonsCWMTMwW068SSHmkSh+6U1RMPtOQJ3+gKIwv+Dk21OvLzlSj3r9etL+mEoA40kapInBIHlrPIVB0qz57d4kUCxTbxA8325krWK1hSjOw7g4vsXL0koHhejv+CVRMQQewGXMvN2iOqhb+NUc5QrEqmQanI6pocVittTCvFmPJxsU+Jlg92WebbvqUskN9ixv6XnDy3+YCqYE2nfdgZW18JpgNJSj/gIgLn3L16yM9ETmfl3YT0IygB8I+TYPADrAFxFRD2J6AoACXcHMomMKVjhuD37IUQroSoDyaBKlqq8RG1eXTQeSvrSiZaeK+t+Z59j2+JuuxUJIsVudV0nAYirCUUIBwDMuH/xkhYH74no2yGB9oshpnnLieg+AGDmcoieAm9ChBqCzVYZLayqaiIwBSsSbs8eABeggwfi301N3XtaivRZZNvQ1m0DGrn39bE4FddpEZLSd5hsn5ZIbtcOADPvX7wkof2Q4TDzWyEeVT9mnml4VvNChjkA3MHM94Ukk/6IW7AR3OQUpmBFw+05BGAGImyj6CgUpJ7VWPtpbBlGrZqK2gJ1fdLqSuLurhMNi2PmLJIy4tlv+BmAWfcvXtKennOo91QO4NWwtIf3ieimdrx/l6frl0huLe50C0S1yZuTbMlpMMATc7Krmah3cgxgXpyv1RHQ4kTIBmf/ki+m/nIQiFr1xcm61+PzPFUH6FlRhvwLwF33L17SrlU3ieg7zWWzm7Qe08OKhdsTgNvzPYiaRh1mH9cWm3VP0sQKAIiozpFYqZlwUhqP5Ni91a32skiyp1tSv1kDkU4Qig7gl/cvXnJre4sVAJhi1f6YghUvbs+jAC4D0KrVrbbiTVdqtM27Z40D/anV8ZhRe19rk3mtbBk8TrKOCe0iXQXga/cvXvJwa69NRG+E/PxueIY7Ee0joozW3sckNmYeViK4PZ/BnT4VYvVncjJNWel0JP0DsnUoWScVty6k0PPEnvFKoHG7anFOaK09Fuels32B4s3gpkYA192/eElC6QREdANELz8FQA5EpxsGMC44JlLnGSJ6HKKdvEk7Y3pYieL2HABwPoDf4swpyFmhnqjO087VReNhyzAa2BbXGX7gnURTEyJCRLC6rn8XwLwWiJUTwE0ALmLmOQBuA7DdyLVa3dy5EHG8DuF5d3VMwWoJIq71G4gia222GTdePklx7gZRiysftBUVvWgQi1ZUrSKzYu000gPFrbzMQQBzf/DMt353/+IlLfkiUSFilMFZRxqAK4zVvViFByVuQUVVk8QxBas1uD1bIErc/h5nMSD/jiu1VflLbYknBa0VGhBAg0qXlrXiEi8DmHjvU/MTbusVxBCchwA8S0TPAMgGMDToYRHR1LC41TYiKjIEbZBxbFErXoNJHJhpDW2FO/08iB367V57e3JO9kGVqEPsd3zwDW3FeUU8J/bI5tFJ8RXOfrQWlFBF030Avn/vU/M/ae39m4OI7mDmp8OOXQRgHDM/1p73Njkd08NqK9yejQCmQDQYaLcl9GKL0mHECgA2DyNbW1xHYtXW7+jGeHcWeCEaM4xva7Eioj5E9DoRLTMenwL4yngu1diCUwjgTwDuMTyrj4jI2pZ2mETGXCVsS9weH4A8uNOfAfC/AK5HG38pvCWqi3YYwdo2tO3Ec+S+NydW9p3aEKNczpsAHrz3qfmtnopG4SEAf2bmjYAQKYi9ghcxcz1O334DY8w/APSBucm53TE9rPbA7dkPt2cRgEkAPmjLS3+S4uxQy+dVGZSpE6ra4loWtaFHhqco2t7A9QBm3vvU/IXtKFaAqORwgdE30Arxf6jH6GnIMPoImrQvpmC1J27PDrg9VwGYDqCwtZcLAIEKWR7darvamBOpKGmra4366uVhYA5dwNgO4FoAF9z71PxWta+Pk99BfC6eB/AuRDXRWMH0ZRCVRk3aGXNKeDZwe9YBmAd3+iUAHoZYWUyYNaK66KQ2ta0N2DeAGnt91TaLN86mY1nOpsq1jc7+EoCH731q/lktLWx4Uv/f3t2H1lmecRz//lJdLa1Wq9aXRgXncMEGRZkrw73pJrhOJrgxsdDSUUWQihahKIiBDebUDHQ6Js1GC3N2Wh1WZaxb8Z+t+I91XUoTu4FaRbRtqqna6rT9+cd1Hzg7zdIm7Xl5wvWBh4ac5zm9DyRXnvt+7uu6Hi7HkV7zTPNGlOplwGqlvtENwIYSuG4m6oAf8X6qdSfO7MhKlZsv0IwFxyZgHQSenb91Vf9XNr846bspSb8gNvcauLasPdVeew44seGSs4AFto96T1lqrtzW0E59s88AlhK7qr94uNMvP697aH9XV8dNCU/5wDsfe+TA3KN4i1FgAHikZ3jo9cm+iaSVxP6psTxge8x2aJIeAu4vhfdSB8uA1Qn6Zgu4krjrug445BH57mldu759zrzT2lWw73CeuO+zd6aZMydwyWfAX4EngD/1DA99eJjzj4iky4GVwGzgv8AG4KHSHAJJa4k8QYg7sC7gfOBc28ckRSg1T04JO0E0dd0IbKRv9unAYuCHROpPF8D6WTO3I02qTXwrjJzEjrmjhw1YB4i8vLXAup7hoYm01jpS/USN9RFFcH+cSFTfDGD7BgBJy4Anbe+VNJDBqhoyYHWavtFdxC9dfwle3wO+/9ysmae0d2Dje7Vb++aOjnm3/iHwF2A98ELP8NCkmrBOQD/wlKQZxB3Wv4DBUv5lft151wA7Je0BVku6Anjd9tGkCKUmyylhRfSu6Z0GXEZsXLySSMidcJutZvnatoMv3/7swcuIZOiXiM4xm4C/9wwPfdLs/1/SQqB+fe8aYjpY2yIxnUiQHs8/bU+4k05qnQxYFdW7pvd44GLgy+W4sBxfonW1mXYDW4Atc/b65d88euAVYLhneKhtP1SSvgv8CJhHpPD8A/h1rZGposvQSiJbwESA/ZXtSSdOp9bJgDXF9K7p7SJ+GeuD2PnAyUTJlNoxk7F3Z5uo7bSTqNq5q+7r+n+3Dy4Z7Kj+jZJqdazutP2upOnA1cAi2zeUNa2XgMW2a/mBZxHVHhbnU8LOl2tYU8zgksGDwGvl+PN45/au6T2O+BmoHV3A6OCSwY6pXT9Btb++tQwOla8NYNuSPga6Je0gnlSeTeyFa/q0NR29vMNKlSRpAFhhe2/D968iUnnmEU1WN/G/U8KzgeXARcA0YDvwmO3hFg4/TVIGrNRWkm4iAsh0otu2iJpiG2wvkrSUKF0MsTb3vO2fSVoN3G77/Yb3OwF42vbCVn2G1Do5JUxtZXuVpDeBbtsDko4D1tpeVE5ZS9wlCegmtnmM5yfAmZIutb25aQNPbZEBK3W6e4hd6+8Ra1G/r3vteUlP2n4YQNLVxGbbbxJdl1fY/k+rB5yaJ6eEFSTp60TFTQNbibUcS/otcEfZvf1H2z9uuO53wHLbH7V+1GOT9CDxJK9xSrgVuBa4m2i3tYdIWj6HeFL5VcqUUNKpRF39EeBe259KmgP8slx7v+19LfxYqUkyYFWQpI3AQtsfS7oNGLH9eP26jqRNwLaGS78BXFpfvaDTlfZb5xFlp/cDO0tAWg4M2N5fti+cYXvHGNdfDGyz3fTOz6n5ckpYMSXlZKT21At4kSjF3Oht28sarl3d5OEdc7b3SXqDqKF+ISBJnxJP/vaXcz4BDglW5bUtLRtsaroMWBVT7ihmlR3brwG3EnXOG51cmiXUO5fIr+sIku4BrhrnFBO71pcBG23fWq47HlgvaZPt3ZKeBk4d533esp0tuKaADFjVdAtRyncu8Afbfyvff4PSscf2dwAkLQC+Zfu+dgx0PLZ/SnyOcUnaBVxSAvAHxBrXDGBfeZ/rmzjM1EFyDauiJN1IPBGrt5doevFA3fdOItJy6qdMA7brn7Z1PEmLgYXE53kVeNT2v9s7qtRqGbAqqnR0aSz0twq4xfaopLts/7wNQ0upaXJKWF3Lieqk9Xl/X6BMk4jH/ilNKRmwqms+8APbe/7P63PGWHQH6Ld9THslptQqOSWsqLKms5RDS8SsyJSUNFVlwEopVUZ2fk4pVUYGrJRSZWTASilVRgaslFJlZMBKKVVGBqyUUmVkwEopVUYGrJRSZWTASilVRgaslFJlZMBKKVVGBqyUUmVkwEopVcbnEc4V/JroutEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = kmdb['제작국가'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(data)\n",
    "\n",
    "data.plot.pie()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_after2016 = kmdb['제작국가'].value_counts(20)\n",
    "\n",
    "pd.DataFrame(data_after2016)\n",
    "\n",
    "data_after2016.plot.pie()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>제작년도</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>3271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>2367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>2336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>1854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>1795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>1742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>1684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>1657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>1567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>1557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>1515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>1507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>1505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>1498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>1398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>1312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>1285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>1259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>1220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>1154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>1129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>1117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988</th>\n",
       "      <td>1102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>1089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>1081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>1078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>1062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1906</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1923</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1909</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1913</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1919</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1914</th>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1907</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1915</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1894</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1899</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1922</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1918</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1910</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1898</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1902</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1895</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1897</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1917</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1893</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0000</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2107</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1885</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>135 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      제작년도\n",
       "2017  3271\n",
       "2018  2367\n",
       "2016  2336\n",
       "2012  1854\n",
       "2013  1795\n",
       "2014  1742\n",
       "2015  1684\n",
       "2009  1657\n",
       "2011  1567\n",
       "2008  1557\n",
       "2005  1515\n",
       "2010  1507\n",
       "2006  1505\n",
       "2007  1498\n",
       "2004  1398\n",
       "2003  1312\n",
       "2001  1285\n",
       "2002  1259\n",
       "2000  1220\n",
       "1996  1166\n",
       "1995  1155\n",
       "1993  1154\n",
       "1989  1150\n",
       "1992  1129\n",
       "1990  1117\n",
       "1988  1102\n",
       "1994  1089\n",
       "1991  1081\n",
       "1999  1078\n",
       "1997  1062\n",
       "...    ...\n",
       "1906    36\n",
       "1923    35\n",
       "1909    35\n",
       "1913    34\n",
       "1919    34\n",
       "1914    31\n",
       "1907    30\n",
       "1915    29\n",
       "1901    27\n",
       "1894    26\n",
       "1899    24\n",
       "1922    24\n",
       "1904    24\n",
       "1918    21\n",
       "1910    20\n",
       "1898    20\n",
       "1911    19\n",
       "1902    18\n",
       "1895    16\n",
       "1897    13\n",
       "1917    13\n",
       "2020     2\n",
       "         2\n",
       "1893     2\n",
       "200      1\n",
       "0000     1\n",
       "2107     1\n",
       "201      1\n",
       "1889     1\n",
       "1885     1\n",
       "\n",
       "[135 rows x 1 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = kmdb['제작년도'].value_counts()\n",
    "\n",
    "pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 감독"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "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>감독</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>조르쥬 멜리에스</th>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>김수용</th>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>고영남</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>임권택</th>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>이형표</th>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>김기덕</th>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신상옥</th>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>심우섭</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>장일호</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>최인현</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>앨리스 가이</th>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>김응천</th>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유현목</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>김성인</th>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>박주영</th>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>이두용</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>남기남</th>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>존 포드</th>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>찰리 채플린</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>김시현</th>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           감독\n",
       "조르쥬 멜리에스  172\n",
       "김수용       127\n",
       "고영남       112\n",
       "임권택       106\n",
       "이형표        92\n",
       "김기덕        91\n",
       "신상옥        77\n",
       "심우섭        69\n",
       "장일호        64\n",
       "최인현        64\n",
       "앨리스 가이     63\n",
       "김응천        63\n",
       "유현목        62\n",
       "김성인        61\n",
       "박주영        61\n",
       "이두용        60\n",
       "남기남        59\n",
       "존 포드       57\n",
       "찰리 채플린     56\n",
       "김시현        54"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb_director = kmdb['감독'].value_counts().head(20)\n",
    "\n",
    "pd.DataFrame(kmdb_director)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1de55c472e8>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "kmdb_director.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 한국영화 감독"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmdb_director_kor = kmdb[kmdb['제작국가'] == '대한민국']['감독'].value_counts().head(50)\n",
    "\n",
    "kmdb_director_kor = pd.DataFrame(kmdb_director_kor).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._axes.Axes at 0x1de57a02908>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "axes1 = fig.add_axes([0, 0, 1, 2])\n",
    "sns.barplot(x='감독', y='index', data=kmdb_director_kor)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 16년 이후 한국영화 감독"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmdb_after2016_director_kor = kmdb_after2016[kmdb_after2016['제작국가'] == '대한민국']['감독'].value_counts().head(50)\n",
    "\n",
    "kmdb_after2016_director_kor = pd.DataFrame(kmdb_after2016_director_kor).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._axes.Axes at 0x1de57b524e0>"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "axes1 = fig.add_axes([0, 0, 1, 2])\n",
    "sns.barplot(x='감독', y='index', data=kmdb_after2016_director_kor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "collapsed": true
   },
   "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>영화등록번호ID</th>\n",
       "      <th>영화등록번호NO</th>\n",
       "      <th>영화명</th>\n",
       "      <th>영문제명</th>\n",
       "      <th>원제명</th>\n",
       "      <th>유형</th>\n",
       "      <th>용도</th>\n",
       "      <th>장르</th>\n",
       "      <th>제작국가</th>\n",
       "      <th>제작년도</th>\n",
       "      <th>...</th>\n",
       "      <th>대표영화심의번호</th>\n",
       "      <th>대표영화관람등급</th>\n",
       "      <th>대표개봉일</th>\n",
       "      <th>대표상영시간</th>\n",
       "      <th>키워드</th>\n",
       "      <th>줄거리</th>\n",
       "      <th>KMDBURL</th>\n",
       "      <th>최초등록일</th>\n",
       "      <th>최종수정일</th>\n",
       "      <th>제작년도_fill</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45373</th>\n",
       "      <td>K</td>\n",
       "      <td>11806</td>\n",
       "      <td>미래경</td>\n",
       "      <td>futuroscope (Miraegyeong)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2006</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>고3,미래경,희망</td>\n",
       "      <td>특별히 되고 싶은 것도 없고 의욕도 없고.. 그래서인지 미래가 더욱 두려운 평범한 ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010-05-10 11:18:08.0</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49280</th>\n",
       "      <td>K</td>\n",
       "      <td>17990</td>\n",
       "      <td>림보</td>\n",
       "      <td>Limbo (Rim-bo)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마,판타지</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>보연의 죽음을 부정하는 수향은 생각을 떨쳐 내기 위해, 약을 먹고 잠들게 된다. 그...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-11-09 16:19:26.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49568</th>\n",
       "      <td>K</td>\n",
       "      <td>18332</td>\n",
       "      <td>I am</td>\n",
       "      <td>I am</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>그녀가 힘들어한다.\\r\\n나는 더 이상 바라볼 수만은 없다.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-07 11:53:19.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51707</th>\n",
       "      <td>K</td>\n",
       "      <td>20939</td>\n",
       "      <td>약혼녀의 언니</td>\n",
       "      <td>(Yakonnyeoui eonni)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190708</td>\n",
       "      <td>2019-MF01313</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>남편과 사별하고 혼자사는 여자의 성행각을 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-10 10:55:07.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51824</th>\n",
       "      <td>K</td>\n",
       "      <td>21073</td>\n",
       "      <td>음란한 여자들의 수다</td>\n",
       "      <td>(Eumnanhan yeojadeurui suda)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190724</td>\n",
       "      <td>2019-MF01481</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>과도한 욕망을 드러낸 30대 부부의 이야기</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-26 14:33:17.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51834</th>\n",
       "      <td>K</td>\n",
       "      <td>21090</td>\n",
       "      <td>아내의 음란한 유혹</td>\n",
       "      <td>(Anaeui eumnanhan yuhok)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190729</td>\n",
       "      <td>2019-MF01504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>여성들의 빗나간 욕정을 그린 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-31 11:22:05.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51835</th>\n",
       "      <td>K</td>\n",
       "      <td>21091</td>\n",
       "      <td>완벽한 타인 : 비밀의 스와핑</td>\n",
       "      <td>(Wanbyeokan tain : bimirui seuwaping)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>에로</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>20190729</td>\n",
       "      <td>2019-MF01503</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>여러 남녀들의 불륜을 다룬 성애 영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-07-31 11:25:02.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51966</th>\n",
       "      <td>K</td>\n",
       "      <td>21314</td>\n",
       "      <td>정리</td>\n",
       "      <td>Arrangement (Jeongni)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2018</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>독거노인과 고물 로봇이 함께 삶을 정리한다.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-10 11:26:38.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51973</th>\n",
       "      <td>K</td>\n",
       "      <td>21321</td>\n",
       "      <td>젊은 부부의 집</td>\n",
       "      <td>(Jeolmeun bubuui jip)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>극영화</td>\n",
       "      <td>극장용</td>\n",
       "      <td>드라마</td>\n",
       "      <td>대한민국</td>\n",
       "      <td>2017</td>\n",
       "      <td>...</td>\n",
       "      <td>20190909</td>\n",
       "      <td>2019-MF01921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>보모와 아이의 우정을 그린 단편영화</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-09-16 14:10:01.0</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      영화등록번호ID  영화등록번호NO               영화명  \\\n",
       "45373        K     11806               미래경   \n",
       "49280        K     17990                림보   \n",
       "49568        K     18332              I am   \n",
       "51707        K     20939           약혼녀의 언니   \n",
       "51824        K     21073       음란한 여자들의 수다   \n",
       "51834        K     21090        아내의 음란한 유혹   \n",
       "51835        K     21091  완벽한 타인 : 비밀의 스와핑   \n",
       "51966        K     21314                정리   \n",
       "51973        K     21321          젊은 부부의 집   \n",
       "\n",
       "                                        영문제명  원제명   유형   용도       장르  제작국가  \\\n",
       "45373              futuroscope (Miraegyeong)  NaN  극영화  극장용      드라마  대한민국   \n",
       "49280                         Limbo (Rim-bo)  NaN  극영화  극장용  드라마,판타지  대한민국   \n",
       "49568                                   I am  NaN  극영화  극장용      드라마  대한민국   \n",
       "51707                    (Yakonnyeoui eonni)  NaN  극영화  극장용       에로  대한민국   \n",
       "51824           (Eumnanhan yeojadeurui suda)  NaN  극영화  극장용       에로  대한민국   \n",
       "51834               (Anaeui eumnanhan yuhok)  NaN  극영화  극장용       에로  대한민국   \n",
       "51835  (Wanbyeokan tain : bimirui seuwaping)  NaN  극영화  극장용       에로  대한민국   \n",
       "51966                  Arrangement (Jeongni)  NaN  극영화  극장용      드라마  대한민국   \n",
       "51973                  (Jeolmeun bubuui jip)  NaN  극영화  극장용      드라마  대한민국   \n",
       "\n",
       "       제작년도  ...  대표영화심의번호      대표영화관람등급 대표개봉일 대표상영시간    키워드        줄거리  \\\n",
       "45373  2006  ...       NaN           NaN   NaN    NaN   17.0  고3,미래경,희망   \n",
       "49280  2018  ...       NaN           NaN   NaN    NaN   25.0        NaN   \n",
       "49568  2016  ...       NaN           NaN   NaN    NaN   23.0        NaN   \n",
       "51707  2019  ...  20190708  2019-MF01313   NaN    NaN   96.0        NaN   \n",
       "51824  2019  ...  20190724  2019-MF01481   NaN    NaN   98.0        NaN   \n",
       "51834  2019  ...  20190729  2019-MF01504   NaN    NaN  100.0        NaN   \n",
       "51835  2019  ...  20190729  2019-MF01503   NaN    NaN   97.0        NaN   \n",
       "51966  2018  ...       NaN           NaN   NaN    NaN   15.0        NaN   \n",
       "51973  2017  ...  20190909  2019-MF01921   NaN    NaN   15.0        NaN   \n",
       "\n",
       "                                                 KMDBURL 최초등록일  \\\n",
       "45373  특별히 되고 싶은 것도 없고 의욕도 없고.. 그래서인지 미래가 더욱 두려운 평범한 ...   NaN   \n",
       "49280  보연의 죽음을 부정하는 수향은 생각을 떨쳐 내기 위해, 약을 먹고 잠들게 된다. 그...   NaN   \n",
       "49568                  그녀가 힘들어한다.\\r\\n나는 더 이상 바라볼 수만은 없다.   NaN   \n",
       "51707                    남편과 사별하고 혼자사는 여자의 성행각을 다룬 성애 영화   NaN   \n",
       "51824                            과도한 욕망을 드러낸 30대 부부의 이야기   NaN   \n",
       "51834                              여성들의 빗나간 욕정을 그린 성애 영화   NaN   \n",
       "51835                               여러 남녀들의 불륜을 다룬 성애 영화   NaN   \n",
       "51966                           독거노인과 고물 로봇이 함께 삶을 정리한다.   NaN   \n",
       "51973                                보모와 아이의 우정을 그린 단편영화   NaN   \n",
       "\n",
       "                       최종수정일 제작년도_fill  \n",
       "45373  2010-05-10 11:18:08.0      2006  \n",
       "49280  2018-11-09 16:19:26.0      2018  \n",
       "49568  2018-12-07 11:53:19.0      2016  \n",
       "51707  2019-07-10 10:55:07.0      2019  \n",
       "51824  2019-07-26 14:33:17.0      2019  \n",
       "51834  2019-07-31 11:22:05.0      2019  \n",
       "51835  2019-07-31 11:25:02.0      2019  \n",
       "51966  2019-09-10 11:26:38.0      2018  \n",
       "51973  2019-09-16 14:10:01.0      2017  \n",
       "\n",
       "[9 rows x 26 columns]"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb[kmdb['감독'] == '이지은']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 에로영화 제외 2016년 감독"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmdb_after2016_director_kor_notero = kmdb_after2016[(kmdb_after2016['제작국가'] == '대한민국') & (kmdb_after2016['장르'] != '에로')]['감독'].value_counts().head(50)\n",
    "\n",
    "kmdb_after2016_director_kor_notero = pd.DataFrame(kmdb_after2016_director_kor_notero).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._axes.Axes at 0x1de57c78630>"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "axes1 = fig.add_axes([0, 0, 1, 2])\n",
    "sns.barplot(x='감독', y='index', data=kmdb_after2016_director_kor_notero)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['영화등록번호ID', '영화등록번호NO', '영화명', '영문제명', '원제명', '유형', '용도', '장르', '제작국가',\n",
       "       '제작년도', '제작사', '감독', '각본', '출연', '영화심의여부', '대표영화심의일', '대표영화심의번호',\n",
       "       '대표영화관람등급', '대표개봉일', '대표상영시간', '키워드', '줄거리', 'KMDBURL', '최초등록일',\n",
       "       '최종수정일', '제작년도_fill'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2017    3271\n",
       "2018    2367\n",
       "2016    2336\n",
       "2019     943\n",
       "Name: 제작년도, dtype: int64"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmdb_after2016['제작년도'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}