delivery_project.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('음식점-족발/보쌈전문', '강남구')\n",
      "                 업종  시군구  통화건수\n",
      "0       음식점-족발/보쌈전문  강남구     5\n",
      "1       음식점-족발/보쌈전문  강남구     5\n",
      "108     음식점-족발/보쌈전문  강남구     5\n",
      "113     음식점-족발/보쌈전문  강남구     5\n",
      "265     음식점-족발/보쌈전문  강남구     5\n",
      "...             ...  ...   ...\n",
      "118671  음식점-족발/보쌈전문  강남구     5\n",
      "118677  음식점-족발/보쌈전문  강남구     5\n",
      "118970  음식점-족발/보쌈전문  강남구     5\n",
      "118985  음식점-족발/보쌈전문  강남구     5\n",
      "118996  음식점-족발/보쌈전문  강남구     5\n",
      "\n",
      "[1399 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '강동구')\n",
      "                 업종  시군구  통화건수\n",
      "567     음식점-족발/보쌈전문  강동구     5\n",
      "803     음식점-족발/보쌈전문  강동구     5\n",
      "1074    음식점-족발/보쌈전문  강동구     5\n",
      "1338    음식점-족발/보쌈전문  강동구     5\n",
      "1586    음식점-족발/보쌈전문  강동구     5\n",
      "...             ...  ...   ...\n",
      "118373  음식점-족발/보쌈전문  강동구    15\n",
      "118686  음식점-족발/보쌈전문  강동구    16\n",
      "118962  음식점-족발/보쌈전문  강동구     5\n",
      "118963  음식점-족발/보쌈전문  강동구     5\n",
      "118992  음식점-족발/보쌈전문  강동구     5\n",
      "\n",
      "[677 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '강북구')\n",
      "                 업종  시군구  통화건수\n",
      "444     음식점-족발/보쌈전문  강북구     5\n",
      "564     음식점-족발/보쌈전문  강북구     5\n",
      "565     음식점-족발/보쌈전문  강북구     5\n",
      "800     음식점-족발/보쌈전문  강북구     5\n",
      "1075    음식점-족발/보쌈전문  강북구     5\n",
      "...             ...  ...   ...\n",
      "118348  음식점-족발/보쌈전문  강북구    17\n",
      "118703  음식점-족발/보쌈전문  강북구     5\n",
      "118717  음식점-족발/보쌈전문  강북구    16\n",
      "118964  음식점-족발/보쌈전문  강북구     5\n",
      "118969  음식점-족발/보쌈전문  강북구     5\n",
      "\n",
      "[655 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '강서구')\n",
      "                 업종  시군구  통화건수\n",
      "2       음식점-족발/보쌈전문  강서구     5\n",
      "3       음식점-족발/보쌈전문  강서구     5\n",
      "380     음식점-족발/보쌈전문  강서구     5\n",
      "445     음식점-족발/보쌈전문  강서구     5\n",
      "566     음식점-족발/보쌈전문  강서구     5\n",
      "...             ...  ...   ...\n",
      "118673  음식점-족발/보쌈전문  강서구     5\n",
      "118674  음식점-족발/보쌈전문  강서구     6\n",
      "118689  음식점-족발/보쌈전문  강서구     5\n",
      "118965  음식점-족발/보쌈전문  강서구     5\n",
      "118990  음식점-족발/보쌈전문  강서구     5\n",
      "\n",
      "[1226 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '관악구')\n",
      "                 업종  시군구  통화건수\n",
      "2437    음식점-족발/보쌈전문  관악구     5\n",
      "2868    음식점-족발/보쌈전문  관악구     5\n",
      "4758    음식점-족발/보쌈전문  관악구     5\n",
      "6481    음식점-족발/보쌈전문  관악구     5\n",
      "8036    음식점-족발/보쌈전문  관악구     5\n",
      "...             ...  ...   ...\n",
      "117051  음식점-족발/보쌈전문  관악구     5\n",
      "117492  음식점-족발/보쌈전문  관악구     5\n",
      "117945  음식점-족발/보쌈전문  관악구     5\n",
      "118342  음식점-족발/보쌈전문  관악구     5\n",
      "118675  음식점-족발/보쌈전문  관악구     5\n",
      "\n",
      "[231 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '광진구')\n",
      "                 업종  시군구  통화건수\n",
      "804     음식점-족발/보쌈전문  광진구     5\n",
      "1341    음식점-족발/보쌈전문  광진구     5\n",
      "1342    음식점-족발/보쌈전문  광진구     5\n",
      "2110    음식점-족발/보쌈전문  광진구     5\n",
      "2112    음식점-족발/보쌈전문  광진구     5\n",
      "...             ...  ...   ...\n",
      "117494  음식점-족발/보쌈전문  광진구     5\n",
      "117978  음식점-족발/보쌈전문  광진구     5\n",
      "118352  음식점-족발/보쌈전문  광진구     5\n",
      "118676  음식점-족발/보쌈전문  광진구     5\n",
      "118977  음식점-족발/보쌈전문  광진구     5\n",
      "\n",
      "[266 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '구로구')\n",
      "                 업종  시군구  통화건수\n",
      "10      음식점-족발/보쌈전문  구로구     5\n",
      "828     음식점-족발/보쌈전문  구로구     5\n",
      "1086    음식점-족발/보쌈전문  구로구     5\n",
      "1343    음식점-족발/보쌈전문  구로구     5\n",
      "1352    음식점-족발/보쌈전문  구로구     5\n",
      "...             ...  ...   ...\n",
      "118344  음식점-족발/보쌈전문  구로구     8\n",
      "118375  음식점-족발/보쌈전문  구로구     5\n",
      "118682  음식점-족발/보쌈전문  구로구     5\n",
      "118966  음식점-족발/보쌈전문  구로구     5\n",
      "118967  음식점-족발/보쌈전문  구로구     5\n",
      "\n",
      "[435 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '금천구')\n",
      "                 업종  시군구  통화건수\n",
      "446     음식점-족발/보쌈전문  금천구     5\n",
      "2113    음식점-족발/보쌈전문  금천구     5\n",
      "2432    음식점-족발/보쌈전문  금천구     5\n",
      "2464    음식점-족발/보쌈전문  금천구     5\n",
      "2870    음식점-족발/보쌈전문  금천구     8\n",
      "...             ...  ...   ...\n",
      "117950  음식점-족발/보쌈전문  금천구     5\n",
      "117998  음식점-족발/보쌈전문  금천구     5\n",
      "118345  음식점-족발/보쌈전문  금천구     5\n",
      "118678  음식점-족발/보쌈전문  금천구     5\n",
      "118968  음식점-족발/보쌈전문  금천구     5\n",
      "\n",
      "[325 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '노원구')\n",
      "                 업종  시군구  통화건수\n",
      "5       음식점-족발/보쌈전문  노원구     5\n",
      "447     음식점-족발/보쌈전문  노원구     5\n",
      "569     음식점-족발/보쌈전문  노원구     5\n",
      "805     음식점-족발/보쌈전문  노원구     5\n",
      "806     음식점-족발/보쌈전문  노원구     5\n",
      "...             ...  ...   ...\n",
      "118365  음식점-족발/보쌈전문  노원구     5\n",
      "118679  음식점-족발/보쌈전문  노원구     8\n",
      "118680  음식점-족발/보쌈전문  노원구     5\n",
      "118971  음식점-족발/보쌈전문  노원구     5\n",
      "118972  음식점-족발/보쌈전문  노원구     5\n",
      "\n",
      "[586 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '도봉구')\n",
      "                 업종  시군구  통화건수\n",
      "2440    음식점-족발/보쌈전문  도봉구     5\n",
      "2872    음식점-족발/보쌈전문  도봉구     5\n",
      "3301    음식점-족발/보쌈전문  도봉구     5\n",
      "3319    음식점-족발/보쌈전문  도봉구     5\n",
      "3641    음식점-족발/보쌈전문  도봉구     5\n",
      "...             ...  ...   ...\n",
      "117543  음식점-족발/보쌈전문  도봉구     5\n",
      "117953  음식점-족발/보쌈전문  도봉구     5\n",
      "118347  음식점-족발/보쌈전문  도봉구     5\n",
      "118353  음식점-족발/보쌈전문  도봉구     5\n",
      "118715  음식점-족발/보쌈전문  도봉구     5\n",
      "\n",
      "[178 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '동대문구')\n",
      "                 업종   시군구  통화건수\n",
      "381     음식점-족발/보쌈전문  동대문구     5\n",
      "382     음식점-족발/보쌈전문  동대문구     5\n",
      "448     음식점-족발/보쌈전문  동대문구     5\n",
      "570     음식점-족발/보쌈전문  동대문구     5\n",
      "1093    음식점-족발/보쌈전문  동대문구     5\n",
      "...             ...   ...   ...\n",
      "118384  음식점-족발/보쌈전문  동대문구     5\n",
      "118681  음식점-족발/보쌈전문  동대문구     5\n",
      "118691  음식점-족발/보쌈전문  동대문구     5\n",
      "118975  음식점-족발/보쌈전문  동대문구     5\n",
      "118995  음식점-족발/보쌈전문  동대문구     5\n",
      "\n",
      "[736 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '동작구')\n",
      "                 업종  시군구  통화건수\n",
      "4       음식점-족발/보쌈전문  동작구     5\n",
      "449     음식점-족발/보쌈전문  동작구     5\n",
      "586     음식점-족발/보쌈전문  동작구     5\n",
      "807     음식점-족발/보쌈전문  동작구     5\n",
      "1078    음식점-족발/보쌈전문  동작구     5\n",
      "...             ...  ...   ...\n",
      "118349  음식점-족발/보쌈전문  동작구    19\n",
      "118683  음식점-족발/보쌈전문  동작구     5\n",
      "118684  음식점-족발/보쌈전문  동작구    12\n",
      "118698  음식점-족발/보쌈전문  동작구     5\n",
      "118973  음식점-족발/보쌈전문  동작구     7\n",
      "\n",
      "[662 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '마포구')\n",
      "                 업종  시군구  통화건수\n",
      "1347    음식점-족발/보쌈전문  마포구     5\n",
      "1351    음식점-족발/보쌈전문  마포구     5\n",
      "1595    음식점-족발/보쌈전문  마포구     5\n",
      "2119    음식점-족발/보쌈전문  마포구     5\n",
      "2128    음식점-족발/보쌈전문  마포구     5\n",
      "...             ...  ...   ...\n",
      "118351  음식점-족발/보쌈전문  마포구     5\n",
      "118354  음식점-족발/보쌈전문  마포구     5\n",
      "118357  음식점-족발/보쌈전문  마포구     5\n",
      "118685  음식점-족발/보쌈전문  마포구     5\n",
      "118719  음식점-족발/보쌈전문  마포구     5\n",
      "\n",
      "[506 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '서대문구')\n",
      "                 업종   시군구  통화건수\n",
      "6       음식점-족발/보쌈전문  서대문구     5\n",
      "109     음식점-족발/보쌈전문  서대문구     5\n",
      "181     음식점-족발/보쌈전문  서대문구     5\n",
      "383     음식점-족발/보쌈전문  서대문구     5\n",
      "450     음식점-족발/보쌈전문  서대문구     5\n",
      "...             ...   ...   ...\n",
      "118687  음식점-족발/보쌈전문  서대문구     5\n",
      "118688  음식점-족발/보쌈전문  서대문구     5\n",
      "118708  음식점-족발/보쌈전문  서대문구     5\n",
      "118716  음식점-족발/보쌈전문  서대문구     5\n",
      "118984  음식점-족발/보쌈전문  서대문구     9\n",
      "\n",
      "[979 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '서초구')\n",
      "                 업종  시군구  통화건수\n",
      "7       음식점-족발/보쌈전문  서초구     5\n",
      "14      음식점-족발/보쌈전문  서초구     5\n",
      "110     음식점-족발/보쌈전문  서초구     5\n",
      "182     음식점-족발/보쌈전문  서초구     5\n",
      "183     음식점-족발/보쌈전문  서초구     5\n",
      "...             ...  ...   ...\n",
      "118694  음식점-족발/보쌈전문  서초구     5\n",
      "118974  음식점-족발/보쌈전문  서초구     5\n",
      "118976  음식점-족발/보쌈전문  서초구     5\n",
      "118978  음식점-족발/보쌈전문  서초구     5\n",
      "118979  음식점-족발/보쌈전문  서초구     5\n",
      "\n",
      "[1028 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '성동구')\n",
      "                 업종  시군구  통화건수\n",
      "8       음식점-족발/보쌈전문  성동구     5\n",
      "184     음식점-족발/보쌈전문  성동구     5\n",
      "453     음식점-족발/보쌈전문  성동구     5\n",
      "584     음식점-족발/보쌈전문  성동구     6\n",
      "814     음식점-족발/보쌈전문  성동구     5\n",
      "...             ...  ...   ...\n",
      "117964  음식점-족발/보쌈전문  성동구     5\n",
      "117973  음식점-족발/보쌈전문  성동구    25\n",
      "118361  음식점-족발/보쌈전문  성동구    28\n",
      "118695  음식점-족발/보쌈전문  성동구    14\n",
      "118980  음식점-족발/보쌈전문  성동구     7\n",
      "\n",
      "[562 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '성북구')\n",
      "                 업종  시군구  통화건수\n",
      "576     음식점-족발/보쌈전문  성북구     5\n",
      "816     음식점-족발/보쌈전문  성북구     5\n",
      "1081    음식점-족발/보쌈전문  성북구     5\n",
      "1601    음식점-족발/보쌈전문  성북구     5\n",
      "1843    음식점-족발/보쌈전문  성북구     5\n",
      "...             ...  ...   ...\n",
      "118362  음식점-족발/보쌈전문  성북구    16\n",
      "118363  음식점-족발/보쌈전문  성북구     5\n",
      "118696  음식점-족발/보쌈전문  성북구    11\n",
      "118697  음식점-족발/보쌈전문  성북구     5\n",
      "118988  음식점-족발/보쌈전문  성북구     5\n",
      "\n",
      "[708 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '송파구')\n",
      "                 업종  시군구  통화건수\n",
      "9       음식점-족발/보쌈전문  송파구     5\n",
      "111     음식점-족발/보쌈전문  송파구     5\n",
      "112     음식점-족발/보쌈전문  송파구     5\n",
      "185     음식점-족발/보쌈전문  송파구     5\n",
      "292     음식점-족발/보쌈전문  송파구     5\n",
      "...             ...  ...   ...\n",
      "118386  음식점-족발/보쌈전문  송파구     5\n",
      "118699  음식점-족발/보쌈전문  송파구     5\n",
      "118712  음식점-족발/보쌈전문  송파구     5\n",
      "118981  음식점-족발/보쌈전문  송파구     5\n",
      "118982  음식점-족발/보쌈전문  송파구     5\n",
      "\n",
      "[818 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '양천구')\n",
      "                 업종  시군구  통화건수\n",
      "2493    음식점-족발/보쌈전문  양천구     5\n",
      "2897    음식점-족발/보쌈전문  양천구     5\n",
      "3330    음식점-족발/보쌈전문  양천구     5\n",
      "3658    음식점-족발/보쌈전문  양천구     5\n",
      "3939    음식점-족발/보쌈전문  양천구     5\n",
      "...             ...  ...   ...\n",
      "116726  음식점-족발/보쌈전문  양천구     5\n",
      "117075  음식점-족발/보쌈전문  양천구     5\n",
      "117528  음식점-족발/보쌈전문  양천구     5\n",
      "117975  음식점-족발/보쌈전문  양천구     5\n",
      "117982  음식점-족발/보쌈전문  양천구     5\n",
      "\n",
      "[202 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '영등포구')\n",
      "                 업종   시군구  통화건수\n",
      "11      음식점-족발/보쌈전문  영등포구     5\n",
      "114     음식점-족발/보쌈전문  영등포구     5\n",
      "115     음식점-족발/보쌈전문  영등포구     5\n",
      "385     음식점-족발/보쌈전문  영등포구     5\n",
      "580     음식점-족발/보쌈전문  영등포구     5\n",
      "...             ...   ...   ...\n",
      "118374  음식점-족발/보쌈전문  영등포구     5\n",
      "118700  음식점-족발/보쌈전문  영등포구     5\n",
      "118701  음식점-족발/보쌈전문  영등포구     5\n",
      "118702  음식점-족발/보쌈전문  영등포구     5\n",
      "118999  음식점-족발/보쌈전문  영등포구     5\n",
      "\n",
      "[1045 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '용산구')\n",
      "                 업종  시군구  통화건수\n",
      "582     음식점-족발/보쌈전문  용산구     5\n",
      "583     음식점-족발/보쌈전문  용산구     5\n",
      "821     음식점-족발/보쌈전문  용산구     5\n",
      "824     음식점-족발/보쌈전문  용산구     5\n",
      "1085    음식점-족발/보쌈전문  용산구     5\n",
      "...             ...  ...   ...\n",
      "118705  음식점-족발/보쌈전문  용산구     5\n",
      "118706  음식점-족발/보쌈전문  용산구     5\n",
      "118983  음식점-족발/보쌈전문  용산구     5\n",
      "118986  음식점-족발/보쌈전문  용산구     5\n",
      "118987  음식점-족발/보쌈전문  용산구     5\n",
      "\n",
      "[596 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '은평구')\n",
      "                 업종  시군구  통화건수\n",
      "825     음식점-족발/보쌈전문  은평구     5\n",
      "1088    음식점-족발/보쌈전문  은평구     5\n",
      "1360    음식점-족발/보쌈전문  은평구     5\n",
      "1607    음식점-족발/보쌈전문  은평구     5\n",
      "1854    음식점-족발/보쌈전문  은평구     5\n",
      "...             ...  ...   ...\n",
      "117987  음식점-족발/보쌈전문  은평구     5\n",
      "118003  음식점-족발/보쌈전문  은평구    10\n",
      "118381  음식점-족발/보쌈전문  은평구     6\n",
      "118707  음식점-족발/보쌈전문  은평구    10\n",
      "118989  음식점-족발/보쌈전문  은평구     5\n",
      "\n",
      "[417 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '종로구')\n",
      "                 업종  시군구  통화건수\n",
      "234     음식점-족발/보쌈전문  종로구     5\n",
      "316     음식점-족발/보쌈전문  종로구     5\n",
      "386     음식점-족발/보쌈전문  종로구     5\n",
      "455     음식점-족발/보쌈전문  종로구     5\n",
      "1089    음식점-족발/보쌈전문  종로구     5\n",
      "...             ...  ...   ...\n",
      "117992  음식점-족발/보쌈전문  종로구     5\n",
      "117993  음식점-족발/보쌈전문  종로구     5\n",
      "118709  음식점-족발/보쌈전문  종로구     5\n",
      "118710  음식점-족발/보쌈전문  종로구     5\n",
      "118991  음식점-족발/보쌈전문  종로구     5\n",
      "\n",
      "[334 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '중구')\n",
      "                 업종 시군구  통화건수\n",
      "12      음식점-족발/보쌈전문  중구     5\n",
      "13      음식점-족발/보쌈전문  중구     5\n",
      "116     음식점-족발/보쌈전문  중구     5\n",
      "117     음식점-족발/보쌈전문  중구     5\n",
      "186     음식점-족발/보쌈전문  중구     5\n",
      "...             ...  ..   ...\n",
      "118389  음식점-족발/보쌈전문  중구     5\n",
      "118711  음식점-족발/보쌈전문  중구     5\n",
      "118713  음식점-족발/보쌈전문  중구     7\n",
      "118993  음식점-족발/보쌈전문  중구     5\n",
      "118994  음식점-족발/보쌈전문  중구     5\n",
      "\n",
      "[928 rows x 3 columns]\n",
      "('음식점-족발/보쌈전문', '중랑구')\n",
      "                 업종  시군구  통화건수\n",
      "588     음식점-족발/보쌈전문  중랑구     5\n",
      "829     음식점-족발/보쌈전문  중랑구     5\n",
      "1095    음식점-족발/보쌈전문  중랑구     5\n",
      "1364    음식점-족발/보쌈전문  중랑구     5\n",
      "1610    음식점-족발/보쌈전문  중랑구     5\n",
      "...             ...  ...   ...\n",
      "118388  음식점-족발/보쌈전문  중랑구     5\n",
      "118714  음식점-족발/보쌈전문  중랑구    10\n",
      "118718  음식점-족발/보쌈전문  중랑구     5\n",
      "118997  음식점-족발/보쌈전문  중랑구     5\n",
      "118998  음식점-족발/보쌈전문  중랑구     8\n",
      "\n",
      "[578 rows x 3 columns]\n",
      "('음식점-중국음식', '강남구')\n",
      "              업종  시군구  통화건수\n",
      "15      음식점-중국음식  강남구     5\n",
      "16      음식점-중국음식  강남구     5\n",
      "118     음식점-중국음식  강남구     5\n",
      "142     음식점-중국음식  강남구     5\n",
      "187     음식점-중국음식  강남구     5\n",
      "...          ...  ...   ...\n",
      "118745  음식점-중국음식  강남구     5\n",
      "118753  음식점-중국음식  강남구    10\n",
      "119000  음식점-중국음식  강남구     5\n",
      "119001  음식점-중국음식  강남구     6\n",
      "119017  음식점-중국음식  강남구     5\n",
      "\n",
      "[3224 rows x 3 columns]\n",
      "('음식점-중국음식', '강동구')\n",
      "              업종  시군구  통화건수\n",
      "188     음식점-중국음식  강동구     5\n",
      "238     음식점-중국음식  강동구     5\n",
      "296     음식점-중국음식  강동구     5\n",
      "356     음식점-중국음식  강동구     5\n",
      "388     음식점-중국음식  강동구     5\n",
      "...          ...  ...   ...\n",
      "118074  음식점-중국음식  강동구     5\n",
      "118391  음식점-중국음식  강동구     5\n",
      "118392  음식점-중국음식  강동구     5\n",
      "118726  음식점-중국음식  강동구     5\n",
      "119007  음식점-중국음식  강동구     5\n",
      "\n",
      "[1509 rows x 3 columns]\n",
      "('음식점-중국음식', '강북구')\n",
      "              업종  시군구  통화건수\n",
      "29      음식점-중국음식  강북구     5\n",
      "119     음식점-중국음식  강북구     5\n",
      "189     음식점-중국음식  강북구     5\n",
      "239     음식점-중국음식  강북구     5\n",
      "301     음식점-중국음식  강북구     5\n",
      "...          ...  ...   ...\n",
      "118393  음식점-중국음식  강북구     5\n",
      "118436  음식점-중국음식  강북구     7\n",
      "118741  음식점-중국음식  강북구     5\n",
      "119002  음식점-중국음식  강북구     5\n",
      "119022  음식점-중국음식  강북구     5\n",
      "\n",
      "[1177 rows x 3 columns]\n",
      "('음식점-중국음식', '강서구')\n",
      "              업종  시군구  통화건수\n",
      "17      음식점-중국음식  강서구     5\n",
      "18      음식점-중국음식  강서구     5\n",
      "19      음식점-중국음식  강서구     5\n",
      "35      음식점-중국음식  강서구     5\n",
      "120     음식점-중국음식  강서구     5\n",
      "...          ...  ...   ...\n",
      "119004  음식점-중국음식  강서구     6\n",
      "119005  음식점-중국음식  강서구     5\n",
      "119006  음식점-중국음식  강서구     5\n",
      "119008  음식점-중국음식  강서구     5\n",
      "119028  음식점-중국음식  강서구     9\n",
      "\n",
      "[2729 rows x 3 columns]\n",
      "('음식점-중국음식', '관악구')\n",
      "              업종  시군구  통화건수\n",
      "20      음식점-중국음식  관악구     5\n",
      "123     음식점-중국음식  관악구     5\n",
      "323     음식점-중국음식  관악구     5\n",
      "391     음식점-중국음식  관악구     5\n",
      "466     음식점-중국음식  관악구     5\n",
      "...          ...  ...   ...\n",
      "118086  음식점-중국음식  관악구     8\n",
      "118394  음식점-중국음식  관악구     5\n",
      "118429  음식점-중국음식  관악구     5\n",
      "118737  음식점-중국음식  관악구     5\n",
      "119009  음식점-중국음식  관악구     5\n",
      "\n",
      "[759 rows x 3 columns]\n",
      "('음식점-중국음식', '광진구')\n",
      "              업종  시군구  통화건수\n",
      "194     음식점-중국음식  광진구     5\n",
      "390     음식점-중국음식  광진구     5\n",
      "467     음식점-중국음식  광진구     5\n",
      "594     음식점-중국음식  광진구     5\n",
      "623     음식점-중국음식  광진구     5\n",
      "...          ...  ...   ...\n",
      "118053  음식점-중국음식  광진구     9\n",
      "118088  음식점-중국음식  광진구     5\n",
      "118405  음식점-중국음식  광진구     5\n",
      "119010  음식점-중국음식  광진구     5\n",
      "119011  음식점-중국음식  광진구     5\n",
      "\n",
      "[931 rows x 3 columns]\n",
      "('음식점-중국음식', '구로구')\n",
      "              업종  시군구  통화건수\n",
      "193     음식점-중국음식  구로구     5\n",
      "342     음식점-중국음식  구로구     5\n",
      "371     음식점-중국음식  구로구     5\n",
      "392     음식점-중국음식  구로구     5\n",
      "416     음식점-중국음식  구로구     5\n",
      "...          ...  ...   ...\n",
      "118062  음식점-중국음식  구로구     5\n",
      "118095  음식점-중국음식  구로구     5\n",
      "118397  음식점-중국음식  구로구     5\n",
      "118422  음식점-중국음식  구로구     5\n",
      "118725  음식점-중국음식  구로구     5\n",
      "\n",
      "[872 rows x 3 columns]\n",
      "('음식점-중국음식', '금천구')\n",
      "              업종  시군구  통화건수\n",
      "134     음식점-중국음식  금천구     5\n",
      "195     음식점-중국음식  금천구     5\n",
      "393     음식점-중국음식  금천구     5\n",
      "476     음식점-중국음식  금천구     8\n",
      "501     음식점-중국음식  금천구     5\n",
      "...          ...  ...   ...\n",
      "117595  음식점-중국음식  금천구     5\n",
      "118017  음식점-중국음식  금천구     9\n",
      "118395  음식점-중국음식  금천구     5\n",
      "118727  음식점-중국음식  금천구     5\n",
      "119012  음식점-중국음식  금천구     5\n",
      "\n",
      "[891 rows x 3 columns]\n",
      "('음식점-중국음식', '노원구')\n",
      "              업종  시군구  통화건수\n",
      "124     음식점-중국음식  노원구     5\n",
      "250     음식점-중국음식  노원구     5\n",
      "410     음식점-중국음식  노원구     5\n",
      "469     음식점-중국음식  노원구    13\n",
      "599     음식점-중국음식  노원구     5\n",
      "...          ...  ...   ...\n",
      "118018  음식점-중국음식  노원구     5\n",
      "118021  음식점-중국음식  노원구    37\n",
      "118032  음식점-중국음식  노원구     5\n",
      "118451  음식점-중국음식  노원구     5\n",
      "118743  음식점-중국음식  노원구     5\n",
      "\n",
      "[1135 rows x 3 columns]\n",
      "('음식점-중국음식', '도봉구')\n",
      "              업종  시군구  통화건수\n",
      "519     음식점-중국음식  도봉구     5\n",
      "608     음식점-중국음식  도봉구     5\n",
      "626     음식점-중국음식  도봉구     5\n",
      "842     음식점-중국음식  도봉구     8\n",
      "876     음식점-중국음식  도봉구     5\n",
      "...          ...  ...   ...\n",
      "117686  음식점-중국음식  도봉구     5\n",
      "118024  음식점-중국음식  도봉구     5\n",
      "118038  음식점-중국음식  도봉구     5\n",
      "118396  음식점-중국음식  도봉구     5\n",
      "119032  음식점-중국음식  도봉구     5\n",
      "\n",
      "[559 rows x 3 columns]\n",
      "('음식점-중국음식', '동대문구')\n",
      "              업종   시군구  통화건수\n",
      "22      음식점-중국음식  동대문구     5\n",
      "24      음식점-중국음식  동대문구     5\n",
      "25      음식점-중국음식  동대문구     5\n",
      "125     음식점-중국음식  동대문구     5\n",
      "138     음식점-중국음식  동대문구     5\n",
      "...          ...   ...   ...\n",
      "118434  음식점-중국음식  동대문구     5\n",
      "118728  음식점-중국음식  동대문구     5\n",
      "118754  음식점-중국음식  동대문구     9\n",
      "119013  음식점-중국음식  동대문구     5\n",
      "119014  음식점-중국음식  동대문구     7\n",
      "\n",
      "[1650 rows x 3 columns]\n",
      "('음식점-중국음식', '동작구')\n",
      "              업종  시군구  통화건수\n",
      "21      음식점-중국음식  동작구     5\n",
      "126     음식점-중국음식  동작구     5\n",
      "198     음식점-중국음식  동작구     5\n",
      "247     음식점-중국음식  동작구     5\n",
      "272     음식점-중국음식  동작구     5\n",
      "...          ...  ...   ...\n",
      "118082  음식점-중국음식  동작구     5\n",
      "118404  음식점-중국음식  동작구    17\n",
      "118423  음식점-중국음식  동작구     5\n",
      "118729  음식점-중국음식  동작구     7\n",
      "119015  음식점-중국음식  동작구    13\n",
      "\n",
      "[1637 rows x 3 columns]\n",
      "('음식점-중국음식', '마포구')\n",
      "              업종  시군구  통화건수\n",
      "127     음식점-중국음식  마포구     5\n",
      "200     음식점-중국음식  마포구     5\n",
      "201     음식점-중국음식  마포구     5\n",
      "248     음식점-중국음식  마포구     5\n",
      "273     음식점-중국음식  마포구     5\n",
      "...          ...  ...   ...\n",
      "118730  음식점-중국음식  마포구     5\n",
      "118747  음식점-중국음식  마포구     5\n",
      "118760  음식점-중국음식  마포구     5\n",
      "119016  음식점-중국음식  마포구     5\n",
      "119021  음식점-중국음식  마포구     5\n",
      "\n",
      "[2200 rows x 3 columns]\n",
      "('음식점-중국음식', '서대문구')\n",
      "              업종   시군구  통화건수\n",
      "23      음식점-중국음식  서대문구     5\n",
      "30      음식점-중국음식  서대문구     5\n",
      "128     음식점-중국음식  서대문구     5\n",
      "202     음식점-중국음식  서대문구     5\n",
      "249     음식점-중국음식  서대문구     5\n",
      "...          ...   ...   ...\n",
      "118411  음식점-중국음식  서대문구     5\n",
      "118731  음식점-중국음식  서대문구     5\n",
      "118732  음식점-중국음식  서대문구     5\n",
      "118734  음식점-중국음식  서대문구     5\n",
      "119018  음식점-중국음식  서대문구     5\n",
      "\n",
      "[2030 rows x 3 columns]\n",
      "('음식점-중국음식', '서초구')\n",
      "              업종  시군구  통화건수\n",
      "129     음식점-중국음식  서초구     5\n",
      "257     음식점-중국음식  서초구     5\n",
      "400     음식점-중국음식  서초구     5\n",
      "402     음식점-중국음식  서초구     5\n",
      "403     음식점-중국음식  서초구     5\n",
      "...          ...  ...   ...\n",
      "118450  음식점-중국음식  서초구     6\n",
      "118735  음식점-중국음식  서초구     5\n",
      "118736  음식점-중국음식  서초구     5\n",
      "118738  음식점-중국음식  서초구     5\n",
      "119019  음식점-중국음식  서초구     5\n",
      "\n",
      "[1679 rows x 3 columns]\n",
      "('음식점-중국음식', '성동구')\n",
      "              업종  시군구  통화건수\n",
      "26      음식점-중국음식  성동구     8\n",
      "130     음식점-중국음식  성동구     5\n",
      "203     음식점-중국음식  성동구     5\n",
      "251     음식점-중국음식  성동구     5\n",
      "275     음식점-중국음식  성동구     5\n",
      "...          ...  ...   ...\n",
      "118054  음식점-중국음식  성동구     9\n",
      "118413  음식점-중국음식  성동구     5\n",
      "118445  음식점-중국음식  성동구    18\n",
      "118739  음식점-중국음식  성동구    18\n",
      "119020  음식점-중국음식  성동구     7\n",
      "\n",
      "[991 rows x 3 columns]\n",
      "('음식점-중국음식', '성북구')\n",
      "              업종  시군구  통화건수\n",
      "131     음식점-중국음식  성북구     5\n",
      "252     음식점-중국음식  성북구     5\n",
      "276     음식점-중국음식  성북구     5\n",
      "303     음식점-중국음식  성북구     5\n",
      "329     음식점-중국음식  성북구     5\n",
      "...          ...  ...   ...\n",
      "118049  음식점-중국음식  성북구    22\n",
      "118414  음식점-중국음식  성북구     5\n",
      "118415  음식점-중국음식  성북구     5\n",
      "118742  음식점-중국음식  성북구     5\n",
      "119023  음식점-중국음식  성북구     5\n",
      "\n",
      "[1595 rows x 3 columns]\n",
      "('음식점-중국음식', '송파구')\n",
      "              업종  시군구  통화건수\n",
      "27      음식점-중국음식  송파구     5\n",
      "28      음식점-중국음식  송파구     5\n",
      "132     음식점-중국음식  송파구     8\n",
      "204     음식점-중국음식  송파구     5\n",
      "205     음식점-중국음식  송파구     5\n",
      "...          ...  ...   ...\n",
      "118435  음식점-중국음식  송파구     5\n",
      "118744  음식점-중국음식  송파구     5\n",
      "118758  음식점-중국음식  송파구    15\n",
      "119024  음식점-중국음식  송파구     5\n",
      "119025  음식점-중국음식  송파구     8\n",
      "\n",
      "[1479 rows x 3 columns]\n",
      "('음식점-중국음식', '양천구')\n",
      "              업종  시군구  통화건수\n",
      "133     음식점-중국음식  양천구     5\n",
      "135     음식점-중국음식  양천구     5\n",
      "412     음식점-중국음식  양천구     5\n",
      "490     음식점-중국음식  양천구     5\n",
      "630     음식점-중국음식  양천구     5\n",
      "...          ...  ...   ...\n",
      "118089  음식점-중국음식  양천구     6\n",
      "118419  음식점-중국음식  양천구     5\n",
      "118746  음식점-중국음식  양천구     5\n",
      "118748  음식점-중국음식  양천구     5\n",
      "119026  음식점-중국음식  양천구     5\n",
      "\n",
      "[809 rows x 3 columns]\n",
      "('음식점-중국음식', '영등포구')\n",
      "              업종   시군구  통화건수\n",
      "31      음식점-중국음식  영등포구     5\n",
      "367     음식점-중국음식  영등포구     5\n",
      "413     음식점-중국음식  영등포구     5\n",
      "414     음식점-중국음식  영등포구     5\n",
      "491     음식점-중국음식  영등포구     7\n",
      "...          ...   ...   ...\n",
      "118092  음식점-중국음식  영등포구     9\n",
      "118420  음식점-중국음식  영등포구     5\n",
      "118421  음식점-중국음식  영등포구     6\n",
      "118431  음식점-중국음식  영등포구     5\n",
      "118749  음식점-중국음식  영등포구     5\n",
      "\n",
      "[1889 rows x 3 columns]\n",
      "('음식점-중국음식', '용산구')\n",
      "              업종  시군구  통화건수\n",
      "346     음식점-중국음식  용산구     5\n",
      "374     음식점-중국음식  용산구     5\n",
      "415     음식점-중국음식  용산구     5\n",
      "419     음식점-중국음식  용산구     5\n",
      "494     음식점-중국음식  용산구     5\n",
      "...          ...  ...   ...\n",
      "118425  음식점-중국음식  용산구     5\n",
      "118432  음식점-중국음식  용산구     5\n",
      "118452  음식점-중국음식  용산구     5\n",
      "118750  음식점-중국음식  용산구     5\n",
      "118751  음식점-중국음식  용산구     5\n",
      "\n",
      "[2364 rows x 3 columns]\n",
      "('음식점-중국음식', '은평구')\n",
      "              업종  시군구  통화건수\n",
      "32      음식점-중국음식  은평구     5\n",
      "136     음식점-중국음식  은평구     5\n",
      "206     음식점-중국음식  은평구     5\n",
      "254     음식점-중국음식  은평구     5\n",
      "347     음식점-중국음식  은평구     5\n",
      "...          ...  ...   ...\n",
      "118070  음식점-중국음식  은평구    12\n",
      "118426  음식점-중국음식  은평구     9\n",
      "118427  음식점-중국음식  은평구     5\n",
      "118752  음식점-중국음식  은평구     5\n",
      "119027  음식점-중국음식  은평구     7\n",
      "\n",
      "[1141 rows x 3 columns]\n",
      "('음식점-중국음식', '종로구')\n",
      "              업종  시군구  통화건수\n",
      "33      음식점-중국음식  종로구     5\n",
      "207     음식점-중국음식  종로구     5\n",
      "421     음식점-중국음식  종로구     5\n",
      "500     음식점-중국음식  종로구     5\n",
      "502     음식점-중국음식  종로구     5\n",
      "...          ...  ...   ...\n",
      "118096  음식점-중국음식  종로구     5\n",
      "118102  음식점-중국음식  종로구     5\n",
      "118428  음식점-중국음식  종로구     5\n",
      "118430  음식점-중국음식  종로구     5\n",
      "118755  음식점-중국음식  종로구     5\n",
      "\n",
      "[2185 rows x 3 columns]\n",
      "('음식점-중국음식', '중구')\n",
      "              업종 시군구  통화건수\n",
      "34      음식점-중국음식  중구     5\n",
      "39      음식점-중국음식  중구     5\n",
      "137     음식점-중국음식  중구     5\n",
      "139     음식점-중국음식  중구     5\n",
      "208     음식점-중국음식  중구     5\n",
      "...          ...  ..   ...\n",
      "118443  음식점-중국음식  중구     5\n",
      "118756  음식점-중국음식  중구     6\n",
      "118757  음식점-중국음식  중구     8\n",
      "119029  음식점-중국음식  중구     5\n",
      "119030  음식점-중국음식  중구     7\n",
      "\n",
      "[2232 rows x 3 columns]\n",
      "('음식점-중국음식', '중랑구')\n",
      "              업종  시군구  통화건수\n",
      "36      음식점-중국음식  중랑구     5\n",
      "37      음식점-중국음식  중랑구     5\n",
      "38      음식점-중국음식  중랑구     5\n",
      "140     음식점-중국음식  중랑구     5\n",
      "141     음식점-중국음식  중랑구     5\n",
      "...          ...  ...   ...\n",
      "118446  음식점-중국음식  중랑구    12\n",
      "118448  음식점-중국음식  중랑구     5\n",
      "118449  음식점-중국음식  중랑구     5\n",
      "118759  음식점-중국음식  중랑구     9\n",
      "119031  음식점-중국음식  중랑구     9\n",
      "\n",
      "[1360 rows x 3 columns]\n",
      "('치킨', '강남구')\n",
      "        업종  시군구  통화건수\n",
      "40      치킨  강남구     5\n",
      "41      치킨  강남구     7\n",
      "42      치킨  강남구     5\n",
      "71      치킨  강남구     5\n",
      "143     치킨  강남구     5\n",
      "...     ..  ...   ...\n",
      "119055  치킨  강남구    14\n",
      "119067  치킨  강남구     5\n",
      "119116  치킨  강남구     5\n",
      "119123  치킨  강남구     5\n",
      "119143  치킨  강남구     5\n",
      "\n",
      "[3030 rows x 3 columns]\n",
      "('치킨', '강동구')\n",
      "        업종  시군구  통화건수\n",
      "46      치킨  강동구     5\n",
      "146     치킨  강동구     5\n",
      "525     치킨  강동구     5\n",
      "710     치킨  강동구     5\n",
      "732     치킨  강동구     5\n",
      "...     ..  ...   ...\n",
      "119062  치킨  강동구    50\n",
      "119069  치킨  강동구     8\n",
      "119074  치킨  강동구     5\n",
      "119129  치킨  강동구     5\n",
      "119134  치킨  강동구     5\n",
      "\n",
      "[1535 rows x 3 columns]\n",
      "('치킨', '강북구')\n",
      "        업종  시군구  통화건수\n",
      "43      치킨  강북구     5\n",
      "97      치킨  강북구    15\n",
      "147     치킨  강북구     7\n",
      "156     치킨  강북구     5\n",
      "212     치킨  강북구     5\n",
      "...     ..  ...   ...\n",
      "118504  치킨  강북구     5\n",
      "118768  치킨  강북구   110\n",
      "118790  치킨  강북구    46\n",
      "119098  치킨  강북구    18\n",
      "119122  치킨  강북구    36\n",
      "\n",
      "[1076 rows x 3 columns]\n",
      "('치킨', '강서구')\n",
      "        업종  시군구  통화건수\n",
      "44      치킨  강서구     5\n",
      "45      치킨  강서구     5\n",
      "50      치킨  강서구     9\n",
      "59      치킨  강서구     5\n",
      "162     치킨  강서구     5\n",
      "...     ..  ...   ...\n",
      "119088  치킨  강서구    58\n",
      "119095  치킨  강서구     5\n",
      "119097  치킨  강서구    53\n",
      "119104  치킨  강서구     5\n",
      "119147  치킨  강서구    47\n",
      "\n",
      "[2310 rows x 3 columns]\n",
      "('치킨', '관악구')\n",
      "        업종  시군구  통화건수\n",
      "47      치킨  관악구     5\n",
      "48      치킨  관악구     5\n",
      "352     치킨  관악구     5\n",
      "528     치킨  관악구     5\n",
      "724     치킨  관악구     5\n",
      "...     ..  ...   ...\n",
      "118464  치킨  관악구    11\n",
      "118806  치킨  관악구    22\n",
      "118817  치킨  관악구    23\n",
      "119108  치킨  관악구    11\n",
      "119128  치킨  관악구    10\n",
      "\n",
      "[767 rows x 3 columns]\n",
      "('치킨', '광진구')\n",
      "        업종  시군구  통화건수\n",
      "68      치킨  광진구     5\n",
      "75      치킨  광진구     5\n",
      "714     치킨  광진구     5\n",
      "966     치킨  광진구     5\n",
      "974     치킨  광진구     5\n",
      "...     ..  ...   ...\n",
      "118841  치킨  광진구     5\n",
      "119084  치킨  광진구     5\n",
      "119087  치킨  광진구     5\n",
      "119101  치킨  광진구    11\n",
      "119140  치킨  광진구     5\n",
      "\n",
      "[990 rows x 3 columns]\n",
      "('치킨', '구로구')\n",
      "        업종  시군구  통화건수\n",
      "49      치킨  구로구     5\n",
      "148     치킨  구로구     5\n",
      "215     치킨  구로구     5\n",
      "228     치킨  구로구     5\n",
      "538     치킨  구로구     5\n",
      "...     ..  ...   ...\n",
      "118826  치킨  구로구     5\n",
      "119043  치킨  구로구     5\n",
      "119075  치킨  구로구    35\n",
      "119076  치킨  구로구     5\n",
      "119078  치킨  구로구     5\n",
      "\n",
      "[1176 rows x 3 columns]\n",
      "('치킨', '금천구')\n",
      "        업종  시군구  통화건수\n",
      "51      치킨  금천구     5\n",
      "65      치킨  금천구     6\n",
      "149     치킨  금천구     5\n",
      "717     치킨  금천구     5\n",
      "971     치킨  금천구     5\n",
      "...     ..  ...   ...\n",
      "118865  치킨  금천구    18\n",
      "118891  치킨  금천구     5\n",
      "119037  치킨  금천구     5\n",
      "119110  치킨  금천구     5\n",
      "119136  치킨  금천구    12\n",
      "\n",
      "[973 rows x 3 columns]\n",
      "('치킨', '노원구')\n",
      "        업종  시군구  통화건수\n",
      "52      치킨  노원구     5\n",
      "53      치킨  노원구     5\n",
      "168     치킨  노원구     5\n",
      "216     치킨  노원구     5\n",
      "718     치킨  노원구     5\n",
      "...     ..  ...   ...\n",
      "119038  치킨  노원구     5\n",
      "119039  치킨  노원구     5\n",
      "119045  치킨  노원구    56\n",
      "119056  치킨  노원구     5\n",
      "119103  치킨  노원구     5\n",
      "\n",
      "[1360 rows x 3 columns]\n",
      "('치킨', '도봉구')\n",
      "        업종  시군구  통화건수\n",
      "1237    치킨  도봉구     5\n",
      "1261    치킨  도봉구     5\n",
      "1522    치킨  도봉구     5\n",
      "1717    치킨  도봉구     5\n",
      "1733    치킨  도봉구     5\n",
      "...     ..  ...   ...\n",
      "118559  치킨  도봉구     5\n",
      "118769  치킨  도봉구     5\n",
      "118866  치킨  도봉구     8\n",
      "119040  치킨  도봉구     5\n",
      "119070  치킨  도봉구    11\n",
      "\n",
      "[607 rows x 3 columns]\n",
      "('치킨', '동대문구')\n",
      "        업종   시군구  통화건수\n",
      "54      치킨  동대문구     5\n",
      "67      치킨  동대문구     5\n",
      "82      치킨  동대문구     5\n",
      "150     치킨  동대문구     5\n",
      "177     치킨  동대문구     5\n",
      "...     ..   ...   ...\n",
      "118794  치킨  동대문구     5\n",
      "118857  치킨  동대문구    35\n",
      "119048  치킨  동대문구     5\n",
      "119054  치킨  동대문구    17\n",
      "119131  치킨  동대문구    20\n",
      "\n",
      "[1203 rows x 3 columns]\n",
      "('치킨', '동작구')\n",
      "        업종  시군구  통화건수\n",
      "55      치킨  동작구    13\n",
      "69      치킨  동작구     5\n",
      "151     치킨  동작구     6\n",
      "219     치킨  동작구     5\n",
      "263     치킨  동작구     5\n",
      "...     ..  ...   ...\n",
      "119042  치킨  동작구     5\n",
      "119044  치킨  동작구   106\n",
      "119099  치킨  동작구     5\n",
      "119137  치킨  동작구     9\n",
      "119142  치킨  동작구     5\n",
      "\n",
      "[1768 rows x 3 columns]\n",
      "('치킨', '마포구')\n",
      "        업종  시군구  통화건수\n",
      "56      치킨  마포구     5\n",
      "57      치킨  마포구     5\n",
      "58      치킨  마포구     5\n",
      "60      치킨  마포구     5\n",
      "61      치킨  마포구     5\n",
      "...     ..  ...   ...\n",
      "119072  치킨  마포구     5\n",
      "119118  치킨  마포구     5\n",
      "119127  치킨  마포구     5\n",
      "119132  치킨  마포구     5\n",
      "119145  치킨  마포구     5\n",
      "\n",
      "[2306 rows x 3 columns]\n",
      "('치킨', '서대문구')\n",
      "        업종   시군구  통화건수\n",
      "62      치킨  서대문구     5\n",
      "63      치킨  서대문구     5\n",
      "64      치킨  서대문구     5\n",
      "153     치킨  서대문구     5\n",
      "169     치킨  서대문구     5\n",
      "...     ..   ...   ...\n",
      "118872  치킨  서대문구     5\n",
      "119057  치킨  서대문구    28\n",
      "119058  치킨  서대문구     5\n",
      "119073  치킨  서대문구    21\n",
      "119113  치킨  서대문구    27\n",
      "\n",
      "[1990 rows x 3 columns]\n",
      "('치킨', '서초구')\n",
      "        업종  시군구  통화건수\n",
      "66      치킨  서초구     5\n",
      "70      치킨  서초구     5\n",
      "72      치킨  서초구     5\n",
      "154     치킨  서초구     5\n",
      "155     치킨  서초구     5\n",
      "...     ..  ...   ...\n",
      "119060  치킨  서초구     6\n",
      "119061  치킨  서초구    24\n",
      "119063  치킨  서초구     5\n",
      "119077  치킨  서초구    18\n",
      "119109  치킨  서초구    51\n",
      "\n",
      "[1795 rows x 3 columns]\n",
      "('치킨', '성동구')\n",
      "        업종  시군구  통화건수\n",
      "73      치킨  성동구     5\n",
      "74      치킨  성동구     5\n",
      "158     치킨  성동구     5\n",
      "159     치킨  성동구     5\n",
      "224     치킨  성동구     5\n",
      "...     ..  ...   ...\n",
      "118814  치킨  성동구    14\n",
      "118833  치킨  성동구   109\n",
      "119064  치킨  성동구    64\n",
      "119065  치킨  성동구     7\n",
      "119066  치킨  성동구     5\n",
      "\n",
      "[940 rows x 3 columns]\n",
      "('치킨', '성북구')\n",
      "        업종  시군구  통화건수\n",
      "76      치킨  성북구     5\n",
      "160     치킨  성북구     5\n",
      "161     치킨  성북구     5\n",
      "164     치킨  성북구     5\n",
      "354     치킨  성북구     5\n",
      "...     ..  ...   ...\n",
      "119071  치킨  성북구     5\n",
      "119079  치킨  성북구     5\n",
      "119082  치킨  성북구     5\n",
      "119091  치킨  성북구     5\n",
      "119093  치킨  성북구     5\n",
      "\n",
      "[2072 rows x 3 columns]\n",
      "('치킨', '송파구')\n",
      "        업종  시군구  통화건수\n",
      "77      치킨  송파구     5\n",
      "89      치킨  송파구     9\n",
      "163     치킨  송파구     5\n",
      "225     치킨  송파구     5\n",
      "226     치킨  송파구     5\n",
      "...     ..  ...   ...\n",
      "119080  치킨  송파구    13\n",
      "119081  치킨  송파구    74\n",
      "119083  치킨  송파구     5\n",
      "119085  치킨  송파구     5\n",
      "119151  치킨  송파구     5\n",
      "\n",
      "[1442 rows x 3 columns]\n",
      "('치킨', '양천구')\n",
      "        업종  시군구  통화건수\n",
      "165     치킨  양천구     5\n",
      "166     치킨  양천구     5\n",
      "994     치킨  양천구     5\n",
      "1263    치킨  양천구     5\n",
      "1497    치킨  양천구     5\n",
      "...     ..  ...   ...\n",
      "118837  치킨  양천구    11\n",
      "118877  치킨  양천구    10\n",
      "119086  치킨  양천구     5\n",
      "119135  치킨  양천구    11\n",
      "119149  치킨  양천구     5\n",
      "\n",
      "[946 rows x 3 columns]\n",
      "('치킨', '영등포구')\n",
      "        업종   시군구  통화건수\n",
      "78      치킨  영등포구     9\n",
      "79      치킨  영등포구     7\n",
      "87      치킨  영등포구     5\n",
      "167     치킨  영등포구     5\n",
      "170     치킨  영등포구     5\n",
      "...     ..   ...   ...\n",
      "119094  치킨  영등포구     5\n",
      "119096  치킨  영등포구    20\n",
      "119100  치킨  영등포구     5\n",
      "119144  치킨  영등포구     5\n",
      "119146  치킨  영등포구     5\n",
      "\n",
      "[2416 rows x 3 columns]\n",
      "('치킨', '용산구')\n",
      "        업종  시군구  통화건수\n",
      "80      치킨  용산구     5\n",
      "81      치킨  용산구     5\n",
      "83      치킨  용산구     7\n",
      "171     치킨  용산구     5\n",
      "172     치킨  용산구     5\n",
      "...     ..  ...   ...\n",
      "119111  치킨  용산구     5\n",
      "119112  치킨  용산구     5\n",
      "119114  치킨  용산구    28\n",
      "119115  치킨  용산구     5\n",
      "119121  치킨  용산구    10\n",
      "\n",
      "[2201 rows x 3 columns]\n",
      "('치킨', '은평구')\n",
      "        업종  시군구  통화건수\n",
      "84      치킨  은평구     5\n",
      "86      치킨  은평구     9\n",
      "88      치킨  은평구     5\n",
      "173     치킨  은평구     5\n",
      "438     치킨  은평구     5\n",
      "...     ..  ...   ...\n",
      "118850  치킨  은평구     5\n",
      "119117  치킨  은평구     5\n",
      "119119  치킨  은평구     5\n",
      "119120  치킨  은평구    49\n",
      "119124  치킨  은평구     5\n",
      "\n",
      "[1200 rows x 3 columns]\n",
      "('치킨', '종로구')\n",
      "        업종  시군구  통화건수\n",
      "90      치킨  종로구     5\n",
      "91      치킨  종로구     5\n",
      "92      치킨  종로구     5\n",
      "174     치킨  종로구     5\n",
      "229     치킨  종로구     5\n",
      "...     ..  ...   ...\n",
      "118861  치킨  종로구     5\n",
      "118863  치킨  종로구     5\n",
      "118870  치킨  종로구     5\n",
      "119125  치킨  종로구     5\n",
      "119126  치킨  종로구     5\n",
      "\n",
      "[1547 rows x 3 columns]\n",
      "('치킨', '중구')\n",
      "        업종 시군구  통화건수\n",
      "94      치킨  중구     5\n",
      "95      치킨  중구    18\n",
      "96      치킨  중구     5\n",
      "98      치킨  중구     5\n",
      "175     치킨  중구     5\n",
      "...     ..  ..   ...\n",
      "119130  치킨  중구     5\n",
      "119133  치킨  중구     6\n",
      "119138  치킨  중구    33\n",
      "119139  치킨  중구     5\n",
      "119141  치킨  중구     5\n",
      "\n",
      "[1808 rows x 3 columns]\n",
      "('치킨', '중랑구')\n",
      "        업종  시군구  통화건수\n",
      "99      치킨  중랑구     8\n",
      "178     치킨  중랑구     5\n",
      "1015    치킨  중랑구     5\n",
      "1017    치킨  중랑구     5\n",
      "1276    치킨  중랑구     5\n",
      "...     ..  ...   ...\n",
      "118894  치킨  중랑구     5\n",
      "118896  치킨  중랑구     5\n",
      "119148  치킨  중랑구     5\n",
      "119150  치킨  중랑구    43\n",
      "119152  치킨  중랑구     5\n",
      "\n",
      "[1296 rows x 3 columns]\n",
      "('피자', '강남구')\n",
      "        업종  시군구  통화건수\n",
      "100     피자  강남구     5\n",
      "101     피자  강남구     5\n",
      "179     피자  강남구     5\n",
      "180     피자  강남구     5\n",
      "232     피자  강남구     5\n",
      "...     ..  ...   ...\n",
      "118931  피자  강남구     5\n",
      "119153  피자  강남구     5\n",
      "119154  피자  강남구     5\n",
      "119155  피자  강남구     5\n",
      "119156  피자  강남구     5\n",
      "\n",
      "[1977 rows x 3 columns]\n",
      "('피자', '강동구')\n",
      "        업종  시군구  통화건수\n",
      "233     피자  강동구     5\n",
      "542     피자  강동구     5\n",
      "747     피자  강동구     5\n",
      "748     피자  강동구     5\n",
      "783     피자  강동구     5\n",
      "...     ..  ...   ...\n",
      "118900  피자  강동구     5\n",
      "118902  피자  강동구    15\n",
      "118926  피자  강동구     5\n",
      "119157  피자  강동구     5\n",
      "119158  피자  강동구     5\n",
      "\n",
      "[1151 rows x 3 columns]\n",
      "('피자', '강북구')\n",
      "        업종  시군구  통화건수\n",
      "543     피자  강북구     5\n",
      "544     피자  강북구     5\n",
      "758     피자  강북구     5\n",
      "769     피자  강북구     5\n",
      "1025    피자  강북구     5\n",
      "...     ..  ...   ...\n",
      "118624  피자  강북구     7\n",
      "118901  피자  강북구    28\n",
      "118951  피자  강북구     7\n",
      "119159  피자  강북구     5\n",
      "119160  피자  강북구     5\n",
      "\n",
      "[885 rows x 3 columns]\n",
      "('피자', '강서구')\n",
      "        업종  시군구  통화건수\n",
      "749     피자  강서구     5\n",
      "750     피자  강서구     5\n",
      "781     피자  강서구     5\n",
      "1026    피자  강서구     9\n",
      "1027    피자  강서구     5\n",
      "...     ..  ...   ...\n",
      "118958  피자  강서구    11\n",
      "119161  피자  강서구     5\n",
      "119162  피자  강서구     5\n",
      "119163  피자  강서구     5\n",
      "119188  피자  강서구     6\n",
      "\n",
      "[1742 rows x 3 columns]\n",
      "('피자', '관악구')\n",
      "        업종  시군구  통화건수\n",
      "784     피자  관악구     5\n",
      "1289    피자  관악구     5\n",
      "1290    피자  관악구     5\n",
      "1536    피자  관악구     5\n",
      "1539    피자  관악구     5\n",
      "...     ..  ...   ...\n",
      "118652  피자  관악구     6\n",
      "118908  피자  관악구     6\n",
      "118910  피자  관악구     5\n",
      "119164  피자  관악구     5\n",
      "119179  피자  관악구     5\n",
      "\n",
      "[627 rows x 3 columns]\n",
      "('피자', '광진구')\n",
      "        업종  시군구  통화건수\n",
      "774     피자  광진구     5\n",
      "1071    피자  광진구     5\n",
      "1307    피자  광진구     5\n",
      "1314    피자  광진구     5\n",
      "1537    피자  광진구     5\n",
      "...     ..  ...   ...\n",
      "118287  피자  광진구     5\n",
      "118308  피자  광진구     5\n",
      "118594  피자  광진구     5\n",
      "118608  피자  광진구     5\n",
      "118617  피자  광진구     5\n",
      "\n",
      "[569 rows x 3 columns]\n",
      "('피자', '구로구')\n",
      "        업종  시군구  통화건수\n",
      "554     피자  구로구     5\n",
      "764     피자  구로구     5\n",
      "1032    피자  구로구     5\n",
      "1048    피자  구로구     5\n",
      "1328    피자  구로구     5\n",
      "...     ..  ...   ...\n",
      "118595  피자  구로구    18\n",
      "118596  피자  구로구     5\n",
      "118912  피자  구로구     5\n",
      "118917  피자  구로구    11\n",
      "119165  피자  구로구     5\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[719 rows x 3 columns]\n",
      "('피자', '금천구')\n",
      "        업종  시군구  통화건수\n",
      "778     피자  금천구     5\n",
      "1030    피자  금천구     5\n",
      "1291    피자  금천구     5\n",
      "1292    피자  금천구     5\n",
      "1540    피자  금천구     5\n",
      "...     ..  ...   ...\n",
      "118599  피자  금천구     5\n",
      "118616  피자  금천구     5\n",
      "118911  피자  금천구     5\n",
      "118920  피자  금천구     5\n",
      "118939  피자  금천구     5\n",
      "\n",
      "[698 rows x 3 columns]\n",
      "('피자', '노원구')\n",
      "        업종  시군구  통화건수\n",
      "378     피자  노원구     5\n",
      "545     피자  노원구     5\n",
      "751     피자  노원구     5\n",
      "768     피자  노원구     7\n",
      "1038    피자  노원구    10\n",
      "...     ..  ...   ...\n",
      "118913  피자  노원구    19\n",
      "118914  피자  노원구     5\n",
      "118919  피자  노원구     5\n",
      "119166  피자  노원구     5\n",
      "119167  피자  노원구     5\n",
      "\n",
      "[1003 rows x 3 columns]\n",
      "('피자', '도봉구')\n",
      "        업종  시군구  통화건수\n",
      "1816    피자  도봉구     5\n",
      "2403    피자  도봉구     5\n",
      "2407    피자  도봉구     5\n",
      "2816    피자  도봉구     5\n",
      "2834    피자  도봉구     5\n",
      "...     ..  ...   ...\n",
      "117423  피자  도봉구     5\n",
      "117861  피자  도봉구     5\n",
      "117863  피자  도봉구     5\n",
      "118267  피자  도봉구     6\n",
      "118918  피자  도봉구     5\n",
      "\n",
      "[407 rows x 3 columns]\n",
      "('피자', '동대문구')\n",
      "        업종   시군구  통화건수\n",
      "546     피자  동대문구     5\n",
      "755     피자  동대문구     5\n",
      "795     피자  동대문구     5\n",
      "1031    피자  동대문구     5\n",
      "1063    피자  동대문구     5\n",
      "...     ..   ...   ...\n",
      "118647  피자  동대문구    13\n",
      "118915  피자  동대문구     5\n",
      "118916  피자  동대문구    11\n",
      "119168  피자  동대문구     5\n",
      "119173  피자  동대문구     5\n",
      "\n",
      "[941 rows x 3 columns]\n",
      "('피자', '동작구')\n",
      "        업종  시군구  통화건수\n",
      "102     피자  동작구     5\n",
      "547     피자  동작구     5\n",
      "782     피자  동작구    17\n",
      "1033    피자  동작구    15\n",
      "1295    피자  동작구     5\n",
      "...     ..  ...   ...\n",
      "118669  피자  동작구    41\n",
      "118921  피자  동작구     5\n",
      "118922  피자  동작구     5\n",
      "118923  피자  동작구    34\n",
      "119169  피자  동작구     9\n",
      "\n",
      "[1054 rows x 3 columns]\n",
      "('피자', '마포구')\n",
      "        업종  시군구  통화건수\n",
      "107     피자  마포구     5\n",
      "548     피자  마포구     5\n",
      "551     피자  마포구     5\n",
      "752     피자  마포구     5\n",
      "753     피자  마포구     8\n",
      "...     ..  ...   ...\n",
      "118668  피자  마포구     5\n",
      "118924  피자  마포구     5\n",
      "118925  피자  마포구     5\n",
      "118954  피자  마포구     5\n",
      "119170  피자  마포구     5\n",
      "\n",
      "[1255 rows x 3 columns]\n",
      "('피자', '서대문구')\n",
      "        업종   시군구  통화건수\n",
      "549     피자  서대문구     5\n",
      "754     피자  서대문구     5\n",
      "756     피자  서대문구    11\n",
      "757     피자  서대문구     5\n",
      "759     피자  서대문구     5\n",
      "...     ..   ...   ...\n",
      "118927  피자  서대문구     5\n",
      "118937  피자  서대문구     5\n",
      "118942  피자  서대문구     9\n",
      "119175  피자  서대문구     5\n",
      "119184  피자  서대문구     5\n",
      "\n",
      "[1344 rows x 3 columns]\n",
      "('피자', '서초구')\n",
      "        업종  시군구  통화건수\n",
      "103     피자  서초구     5\n",
      "441     피자  서초구     5\n",
      "550     피자  서초구     5\n",
      "552     피자  서초구     5\n",
      "760     피자  서초구     5\n",
      "...     ..  ...   ...\n",
      "118929  피자  서초구     5\n",
      "118930  피자  서초구     5\n",
      "118955  피자  서초구     6\n",
      "119171  피자  서초구     5\n",
      "119172  피자  서초구     5\n",
      "\n",
      "[1327 rows x 3 columns]\n",
      "('피자', '성동구')\n",
      "        업종  시군구  통화건수\n",
      "104     피자  성동구     5\n",
      "556     피자  성동구     5\n",
      "762     피자  성동구     5\n",
      "794     피자  성동구     5\n",
      "1044    피자  성동구     8\n",
      "...     ..  ...   ...\n",
      "118620  피자  성동구     5\n",
      "118935  피자  성동구     5\n",
      "118945  피자  성동구    13\n",
      "119174  피자  성동구     5\n",
      "119176  피자  성동구     5\n",
      "\n",
      "[796 rows x 3 columns]\n",
      "('피자', '성북구')\n",
      "        업종  시군구  통화건수\n",
      "763     피자  성북구     5\n",
      "765     피자  성북구     5\n",
      "766     피자  성북구     5\n",
      "1045    피자  성북구     5\n",
      "1305    피자  성북구     5\n",
      "...     ..  ...   ...\n",
      "118631  피자  성북구     5\n",
      "118932  피자  성북구     8\n",
      "118934  피자  성북구     5\n",
      "118936  피자  성북구     5\n",
      "119177  피자  성북구     5\n",
      "\n",
      "[1146 rows x 3 columns]\n",
      "('피자', '송파구')\n",
      "        업종  시군구  통화건수\n",
      "553     피자  송파구     5\n",
      "767     피자  송파구     5\n",
      "771     피자  송파구    10\n",
      "1046    피자  송파구     5\n",
      "1047    피자  송파구     5\n",
      "...     ..  ...   ...\n",
      "118632  피자  송파구     5\n",
      "118634  피자  송파구    13\n",
      "118938  피자  송파구     5\n",
      "118946  피자  송파구    10\n",
      "119178  피자  송파구     5\n",
      "\n",
      "[927 rows x 3 columns]\n",
      "('피자', '양천구')\n",
      "        업종  시군구  통화건수\n",
      "770     피자  양천구     5\n",
      "1049    피자  양천구     5\n",
      "1562    피자  양천구     5\n",
      "1567    피자  양천구     5\n",
      "1823    피자  양천구     5\n",
      "...     ..  ...   ...\n",
      "118635  피자  양천구     5\n",
      "118656  피자  양천구     7\n",
      "118940  피자  양천구     5\n",
      "118949  피자  양천구     5\n",
      "119187  피자  양천구     5\n",
      "\n",
      "[555 rows x 3 columns]\n",
      "('피자', '영등포구')\n",
      "        업종   시군구  통화건수\n",
      "379     피자  영등포구     5\n",
      "555     피자  영등포구     5\n",
      "772     피자  영등포구     5\n",
      "773     피자  영등포구     5\n",
      "775     피자  영등포구     5\n",
      "...     ..   ...   ...\n",
      "118645  피자  영등포구     5\n",
      "118941  피자  영등포구     5\n",
      "118950  피자  영등포구     5\n",
      "118957  피자  영등포구     8\n",
      "119180  피자  영등포구     5\n",
      "\n",
      "[1598 rows x 3 columns]\n",
      "('피자', '용산구')\n",
      "        업종  시군구  통화건수\n",
      "105     피자  용산구     5\n",
      "557     피자  용산구     5\n",
      "558     피자  용산구     5\n",
      "777     피자  용산구     5\n",
      "779     피자  용산구     5\n",
      "...     ..  ...   ...\n",
      "118943  피자  용산구     5\n",
      "118944  피자  용산구     5\n",
      "118953  피자  용산구     5\n",
      "119181  피자  용산구     5\n",
      "119182  피자  용산구     5\n",
      "\n",
      "[1284 rows x 3 columns]\n",
      "('피자', '은평구')\n",
      "        업종  시군구  통화건수\n",
      "106     피자  은평구     5\n",
      "442     피자  은평구     5\n",
      "785     피자  은평구     5\n",
      "786     피자  은평구     5\n",
      "1058    피자  은평구     5\n",
      "...     ..  ...   ...\n",
      "118654  피자  은평구    11\n",
      "118655  피자  은평구     5\n",
      "118947  피자  은평구     5\n",
      "118948  피자  은평구     5\n",
      "119183  피자  은평구     5\n",
      "\n",
      "[855 rows x 3 columns]\n",
      "('피자', '종로구')\n",
      "        업종  시군구  통화건수\n",
      "559     피자  종로구     5\n",
      "788     피자  종로구     5\n",
      "789     피자  종로구     5\n",
      "1065    피자  종로구     5\n",
      "1573    피자  종로구     5\n",
      "...     ..  ...   ...\n",
      "118319  피자  종로구     5\n",
      "118320  피자  종로구     5\n",
      "118330  피자  종로구     5\n",
      "118657  피자  종로구     5\n",
      "118952  피자  종로구     5\n",
      "\n",
      "[524 rows x 3 columns]\n",
      "('피자', '중구')\n",
      "        업종 시군구  통화건수\n",
      "560     피자  중구     5\n",
      "561     피자  중구     5\n",
      "790     피자  중구     5\n",
      "791     피자  중구     5\n",
      "1067    피자  중구     5\n",
      "...     ..  ..   ...\n",
      "118328  피자  중구    13\n",
      "118658  피자  중구     7\n",
      "118659  피자  중구    15\n",
      "118660  피자  중구     5\n",
      "118956  피자  중구     7\n",
      "\n",
      "[992 rows x 3 columns]\n",
      "('피자', '중랑구')\n",
      "        업종  시군구  통화건수\n",
      "562     피자  중랑구     5\n",
      "793     피자  중랑구     5\n",
      "1070    피자  중랑구     5\n",
      "1332    피자  중랑구     5\n",
      "1335    피자  중랑구     5\n",
      "...     ..  ...   ...\n",
      "118959  피자  중랑구     5\n",
      "118960  피자  중랑구    12\n",
      "118961  피자  중랑구     5\n",
      "119185  피자  중랑구     5\n",
      "119186  피자  중랑구     5\n",
      "\n",
      "[955 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "missing_values = [\"배달전문업체\",\"심부름\"]\n",
    "df = pd.read_csv(\"seoul_delivery.csv\",na_values = missing_values)\n",
    "df = df.filter(['업종','시군구','통화건수'])\n",
    "df_grouped=df.groupby(['업종','시군구'])\n",
    "df_grouped['통화건수'].sum()\n",
    "for a,b in df_grouped:\n",
    "    print(a)\n",
    "    print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "업종           시군구 \n",
       "음식점-족발/보쌈전문  강남구      7318\n",
       "             강동구      4173\n",
       "             강북구      4970\n",
       "             강서구      6978\n",
       "             관악구      1156\n",
       "             광진구      1331\n",
       "             구로구      2428\n",
       "             금천구      1697\n",
       "             노원구      3788\n",
       "             도봉구       890\n",
       "             동대문구     4185\n",
       "             동작구      4606\n",
       "             마포구      2531\n",
       "             서대문구     5234\n",
       "             서초구      5477\n",
       "             성동구      4031\n",
       "             성북구      4654\n",
       "             송파구      4565\n",
       "             양천구      1010\n",
       "             영등포구     5591\n",
       "             용산구      3012\n",
       "             은평구      2303\n",
       "             종로구      1670\n",
       "             중구       4994\n",
       "             중랑구      3599\n",
       "음식점-중국음식     강남구     42935\n",
       "             강동구     19266\n",
       "             강북구     19239\n",
       "             강서구     35340\n",
       "             관악구      4409\n",
       "             광진구      5005\n",
       "             구로구      9442\n",
       "             금천구      6053\n",
       "             노원구     15121\n",
       "             도봉구      2831\n",
       "             동대문구    21560\n",
       "             동작구     25413\n",
       "             마포구     14548\n",
       "             서대문구    25241\n",
       "             서초구     26391\n",
       "             성동구     20509\n",
       "             성북구     15359\n",
       "             송파구     21209\n",
       "             양천구      5397\n",
       "             영등포구    17222\n",
       "             용산구     20577\n",
       "             은평구     11742\n",
       "             종로구     10974\n",
       "             중구      29069\n",
       "             중랑구     13601\n",
       "치킨           강남구     32281\n",
       "             강동구     18553\n",
       "             강북구     24674\n",
       "             강서구     46134\n",
       "             관악구      5810\n",
       "             광진구      5591\n",
       "             구로구     14895\n",
       "             금천구      8250\n",
       "             노원구     24257\n",
       "             도봉구      3732\n",
       "             동대문구    12571\n",
       "             동작구     34192\n",
       "             마포구     16325\n",
       "             서대문구    23952\n",
       "             서초구     25546\n",
       "             성동구     21038\n",
       "             성북구     18867\n",
       "             송파구     26928\n",
       "             양천구      6652\n",
       "             영등포구    28983\n",
       "             용산구     15719\n",
       "             은평구     17926\n",
       "             종로구      7746\n",
       "             중구      19309\n",
       "             중랑구     14994\n",
       "피자           강남구     12064\n",
       "             강동구      8959\n",
       "             강북구     10407\n",
       "             강서구     14474\n",
       "             관악구      3338\n",
       "             광진구      2857\n",
       "             구로구      4965\n",
       "             금천구      3702\n",
       "             노원구      8449\n",
       "             도봉구      2044\n",
       "             동대문구     6615\n",
       "             동작구     12280\n",
       "             마포구      6802\n",
       "             서대문구     8813\n",
       "             서초구      8514\n",
       "             성동구      7099\n",
       "             성북구      6566\n",
       "             송파구      7295\n",
       "             양천구      2787\n",
       "             영등포구     9408\n",
       "             용산구      6732\n",
       "             은평구      6454\n",
       "             종로구      2620\n",
       "             중구       6580\n",
       "             중랑구      6543\n",
       "Name: 통화건수, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', 10000000)\n",
    "df_grouped['통화건수'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>자치구</th>\n",
       "      <th>인구수</th>\n",
       "      <th>월소득</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>종로구</td>\n",
       "      <td>161984</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>중구</td>\n",
       "      <td>136469</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>용산구</td>\n",
       "      <td>246165</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>성동구</td>\n",
       "      <td>307193</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>광진구</td>\n",
       "      <td>365990</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>동대문구</td>\n",
       "      <td>362793</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>400678</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>성북구</td>\n",
       "      <td>454532</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>강북구</td>\n",
       "      <td>316750</td>\n",
       "      <td>380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>도봉구</td>\n",
       "      <td>333495</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>노원구</td>\n",
       "      <td>535495</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>은평구</td>\n",
       "      <td>482509</td>\n",
       "      <td>430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>서대문구</td>\n",
       "      <td>325875</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>마포구</td>\n",
       "      <td>386086</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>양천구</td>\n",
       "      <td>460532</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>강서구</td>\n",
       "      <td>595703</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>구로구</td>\n",
       "      <td>438308</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>금천구</td>\n",
       "      <td>251370</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>영등포구</td>\n",
       "      <td>404766</td>\n",
       "      <td>430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>동작구</td>\n",
       "      <td>407802</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>관악구</td>\n",
       "      <td>516662</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>서초구</td>\n",
       "      <td>434801</td>\n",
       "      <td>510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>강남구</td>\n",
       "      <td>549898</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>송파구</td>\n",
       "      <td>680883</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>강동구</td>\n",
       "      <td>457042</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     자치구     인구수  월소득\n",
       "0    종로구  161984  435\n",
       "1     중구  136469  345\n",
       "2    용산구  246165  385\n",
       "3    성동구  307193  395\n",
       "4    광진구  365990  350\n",
       "5   동대문구  362793  370\n",
       "6    중랑구  400678  400\n",
       "7    성북구  454532  390\n",
       "8    강북구  316750  380\n",
       "9    도봉구  333495  450\n",
       "10   노원구  535495  405\n",
       "11   은평구  482509  430\n",
       "12  서대문구  325875  450\n",
       "13   마포구  386086  425\n",
       "14   양천구  460532  370\n",
       "15   강서구  595703  460\n",
       "16   구로구  438308  425\n",
       "17   금천구  251370  390\n",
       "18  영등포구  404766  430\n",
       "19   동작구  407802  435\n",
       "20   관악구  516662  385\n",
       "21   서초구  434801  510\n",
       "22   강남구  549898  500\n",
       "23   송파구  680883  475\n",
       "24   강동구  457042  490"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GDP_seoul = pd.read_csv('report.txt',sep='\\t')\n",
    "GDP_seoul=GDP_seoul.filter(['자치구','인구수','월소득'])\n",
    "\n",
    "GDP_seoul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['종로구', '중구', '용산구', '성동구', '광진구', '동대문구', '중랑구', '성북구', '강북구',\n",
       "       '도봉구', '노원구', '은평구', '서대문구', '마포구', '양천구', '강서구', '구로구', '금천구',\n",
       "       '영등포구', '동작구', '관악구', '서초구', '강남구', '송파구', '강동구'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GDP_seoul['자치구'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['강남구', '강서구', '동작구', '노원구', '서대문구', '서초구', '성동구', '송파구', '구로구',\n",
       "       '영등포구', '중구', '관악구', '동대문구', '강북구', '은평구', '종로구', '중랑구', '강동구',\n",
       "       '금천구', '마포구', '광진구', '성북구', '용산구', '양천구', '도봉구'], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['시군구'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "China=df.query('업종.str.contains(\"중국\")')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "시군구\n",
       "강남구     42935\n",
       "강동구     19266\n",
       "강북구     19239\n",
       "강서구     35340\n",
       "관악구      4409\n",
       "광진구      5005\n",
       "구로구      9442\n",
       "금천구      6053\n",
       "노원구     15121\n",
       "도봉구      2831\n",
       "동대문구    21560\n",
       "동작구     25413\n",
       "마포구     14548\n",
       "서대문구    25241\n",
       "서초구     26391\n",
       "성동구     20509\n",
       "성북구     15359\n",
       "송파구     21209\n",
       "양천구      5397\n",
       "영등포구    17222\n",
       "용산구     20577\n",
       "은평구     11742\n",
       "종로구     10974\n",
       "중구      29069\n",
       "중랑구     13601\n",
       "Name: 통화건수, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bb = China.groupby('시군구')\n",
    "bb =bb['통화건수'].sum()\n",
    "bb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['강남구', '강동구', '강북구', '강서구', '관악구', '광진구', '구로구', '금천구', '노원구', '도봉구',\n",
       "       '동대문구', '동작구', '마포구', '서대문구', '서초구', '성동구', '성북구', '송파구', '양천구', '영등포구',\n",
       "       '용산구', '은평구', '종로구', '중구', '중랑구'],\n",
       "      dtype='object', name='시군구')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bb.index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "자치구\n",
       "강남구     549898\n",
       "강동구     457042\n",
       "강북구     316750\n",
       "강서구     595703\n",
       "관악구     516662\n",
       "광진구     365990\n",
       "구로구     438308\n",
       "금천구     251370\n",
       "노원구     535495\n",
       "도봉구     333495\n",
       "동대문구    362793\n",
       "동작구     407802\n",
       "마포구     386086\n",
       "서대문구    325875\n",
       "서초구     434801\n",
       "성동구     307193\n",
       "성북구     454532\n",
       "송파구     680883\n",
       "양천구     460532\n",
       "영등포구    404766\n",
       "용산구     246165\n",
       "은평구     482509\n",
       "종로구     161984\n",
       "중구      136469\n",
       "중랑구     400678\n",
       "Name: 인구수, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp2 = GDP_seoul.groupby('자치구')\n",
    "temp2 = temp2['인구수'].sum()\n",
    "temp2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "temptable = pd.concat([bb, temp2], axis=1)\n",
    "\n",
    "temptable['1인당 배달비율']=temptable['통화건수'].astype('float')/temptable['인구수'].astype('float')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>통화건수</th>\n",
       "      <th>인구수</th>\n",
       "      <th>1인당 배달비율</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>549898</td>\n",
       "      <td>0.078078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>457042</td>\n",
       "      <td>0.042154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>316750</td>\n",
       "      <td>0.060739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>595703</td>\n",
       "      <td>0.059325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>516662</td>\n",
       "      <td>0.008534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>365990</td>\n",
       "      <td>0.013675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>438308</td>\n",
       "      <td>0.021542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>251370</td>\n",
       "      <td>0.024080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>535495</td>\n",
       "      <td>0.028237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>333495</td>\n",
       "      <td>0.008489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>362793</td>\n",
       "      <td>0.059428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>407802</td>\n",
       "      <td>0.062317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>386086</td>\n",
       "      <td>0.037681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>325875</td>\n",
       "      <td>0.077456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>434801</td>\n",
       "      <td>0.060697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>307193</td>\n",
       "      <td>0.066763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>454532</td>\n",
       "      <td>0.033791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>680883</td>\n",
       "      <td>0.031149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>460532</td>\n",
       "      <td>0.011719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>404766</td>\n",
       "      <td>0.042548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>246165</td>\n",
       "      <td>0.083590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>482509</td>\n",
       "      <td>0.024335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>161984</td>\n",
       "      <td>0.067747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>136469</td>\n",
       "      <td>0.213008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>400678</td>\n",
       "      <td>0.033945</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       통화건수     인구수  1인당 배달비율\n",
       "강남구   42935  549898  0.078078\n",
       "강동구   19266  457042  0.042154\n",
       "강북구   19239  316750  0.060739\n",
       "강서구   35340  595703  0.059325\n",
       "관악구    4409  516662  0.008534\n",
       "광진구    5005  365990  0.013675\n",
       "구로구    9442  438308  0.021542\n",
       "금천구    6053  251370  0.024080\n",
       "노원구   15121  535495  0.028237\n",
       "도봉구    2831  333495  0.008489\n",
       "동대문구  21560  362793  0.059428\n",
       "동작구   25413  407802  0.062317\n",
       "마포구   14548  386086  0.037681\n",
       "서대문구  25241  325875  0.077456\n",
       "서초구   26391  434801  0.060697\n",
       "성동구   20509  307193  0.066763\n",
       "성북구   15359  454532  0.033791\n",
       "송파구   21209  680883  0.031149\n",
       "양천구    5397  460532  0.011719\n",
       "영등포구  17222  404766  0.042548\n",
       "용산구   20577  246165  0.083590\n",
       "은평구   11742  482509  0.024335\n",
       "종로구   10974  161984  0.067747\n",
       "중구    29069  136469  0.213008\n",
       "중랑구   13601  400678  0.033945"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temptable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "자치구\n",
       "강남구     500\n",
       "강동구     490\n",
       "강북구     380\n",
       "강서구     460\n",
       "관악구     385\n",
       "광진구     350\n",
       "구로구     425\n",
       "금천구     390\n",
       "노원구     405\n",
       "도봉구     450\n",
       "동대문구    370\n",
       "동작구     435\n",
       "마포구     425\n",
       "서대문구    450\n",
       "서초구     510\n",
       "성동구     395\n",
       "성북구     390\n",
       "송파구     475\n",
       "양천구     370\n",
       "영등포구    430\n",
       "용산구     385\n",
       "은평구     430\n",
       "종로구     435\n",
       "중구      345\n",
       "중랑구     400\n",
       "Name: 월소득, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp3 = GDP_seoul.groupby('자치구')\n",
    "temp3 = temp3['월소득'].sum()\n",
    "temp3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "temptable = pd.concat([temptable, temp3], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>통화건수</th>\n",
       "      <th>인구수</th>\n",
       "      <th>1인당 배달비율</th>\n",
       "      <th>월소득</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자치구</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>549898</td>\n",
       "      <td>0.078078</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>457042</td>\n",
       "      <td>0.042154</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>316750</td>\n",
       "      <td>0.060739</td>\n",
       "      <td>380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>595703</td>\n",
       "      <td>0.059325</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>516662</td>\n",
       "      <td>0.008534</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>365990</td>\n",
       "      <td>0.013675</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>438308</td>\n",
       "      <td>0.021542</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>251370</td>\n",
       "      <td>0.024080</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>535495</td>\n",
       "      <td>0.028237</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>333495</td>\n",
       "      <td>0.008489</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>362793</td>\n",
       "      <td>0.059428</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>407802</td>\n",
       "      <td>0.062317</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>386086</td>\n",
       "      <td>0.037681</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>325875</td>\n",
       "      <td>0.077456</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>434801</td>\n",
       "      <td>0.060697</td>\n",
       "      <td>510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>307193</td>\n",
       "      <td>0.066763</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>454532</td>\n",
       "      <td>0.033791</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>680883</td>\n",
       "      <td>0.031149</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>460532</td>\n",
       "      <td>0.011719</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>404766</td>\n",
       "      <td>0.042548</td>\n",
       "      <td>430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>246165</td>\n",
       "      <td>0.083590</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>482509</td>\n",
       "      <td>0.024335</td>\n",
       "      <td>430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>161984</td>\n",
       "      <td>0.067747</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>136469</td>\n",
       "      <td>0.213008</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>400678</td>\n",
       "      <td>0.033945</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       통화건수     인구수  1인당 배달비율  월소득\n",
       "자치구                               \n",
       "강남구   42935  549898  0.078078  500\n",
       "강동구   19266  457042  0.042154  490\n",
       "강북구   19239  316750  0.060739  380\n",
       "강서구   35340  595703  0.059325  460\n",
       "관악구    4409  516662  0.008534  385\n",
       "광진구    5005  365990  0.013675  350\n",
       "구로구    9442  438308  0.021542  425\n",
       "금천구    6053  251370  0.024080  390\n",
       "노원구   15121  535495  0.028237  405\n",
       "도봉구    2831  333495  0.008489  450\n",
       "동대문구  21560  362793  0.059428  370\n",
       "동작구   25413  407802  0.062317  435\n",
       "마포구   14548  386086  0.037681  425\n",
       "서대문구  25241  325875  0.077456  450\n",
       "서초구   26391  434801  0.060697  510\n",
       "성동구   20509  307193  0.066763  395\n",
       "성북구   15359  454532  0.033791  390\n",
       "송파구   21209  680883  0.031149  475\n",
       "양천구    5397  460532  0.011719  370\n",
       "영등포구  17222  404766  0.042548  430\n",
       "용산구   20577  246165  0.083590  385\n",
       "은평구   11742  482509  0.024335  430\n",
       "종로구   10974  161984  0.067747  435\n",
       "중구    29069  136469  0.213008  345\n",
       "중랑구   13601  400678  0.033945  400"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temptable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>통화건수</th>\n",
       "      <th>인구수</th>\n",
       "      <th>1인당 배달비율</th>\n",
       "      <th>월소득</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자치구</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>136469</td>\n",
       "      <td>0.213008</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>365990</td>\n",
       "      <td>0.013675</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>460532</td>\n",
       "      <td>0.011719</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>362793</td>\n",
       "      <td>0.059428</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>316750</td>\n",
       "      <td>0.060739</td>\n",
       "      <td>380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>246165</td>\n",
       "      <td>0.083590</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>516662</td>\n",
       "      <td>0.008534</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>454532</td>\n",
       "      <td>0.033791</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>251370</td>\n",
       "      <td>0.024080</td>\n",
       "      <td>390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>307193</td>\n",
       "      <td>0.066763</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>400678</td>\n",
       "      <td>0.033945</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>535495</td>\n",
       "      <td>0.028237</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>386086</td>\n",
       "      <td>0.037681</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>438308</td>\n",
       "      <td>0.021542</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>404766</td>\n",
       "      <td>0.042548</td>\n",
       "      <td>430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>482509</td>\n",
       "      <td>0.024335</td>\n",
       "      <td>430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>161984</td>\n",
       "      <td>0.067747</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>407802</td>\n",
       "      <td>0.062317</td>\n",
       "      <td>435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>325875</td>\n",
       "      <td>0.077456</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>333495</td>\n",
       "      <td>0.008489</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>595703</td>\n",
       "      <td>0.059325</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>680883</td>\n",
       "      <td>0.031149</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>457042</td>\n",
       "      <td>0.042154</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>549898</td>\n",
       "      <td>0.078078</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>434801</td>\n",
       "      <td>0.060697</td>\n",
       "      <td>510</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       통화건수     인구수  1인당 배달비율  월소득\n",
       "자치구                               \n",
       "중구    29069  136469  0.213008  345\n",
       "광진구    5005  365990  0.013675  350\n",
       "양천구    5397  460532  0.011719  370\n",
       "동대문구  21560  362793  0.059428  370\n",
       "강북구   19239  316750  0.060739  380\n",
       "용산구   20577  246165  0.083590  385\n",
       "관악구    4409  516662  0.008534  385\n",
       "성북구   15359  454532  0.033791  390\n",
       "금천구    6053  251370  0.024080  390\n",
       "성동구   20509  307193  0.066763  395\n",
       "중랑구   13601  400678  0.033945  400\n",
       "노원구   15121  535495  0.028237  405\n",
       "마포구   14548  386086  0.037681  425\n",
       "구로구    9442  438308  0.021542  425\n",
       "영등포구  17222  404766  0.042548  430\n",
       "은평구   11742  482509  0.024335  430\n",
       "종로구   10974  161984  0.067747  435\n",
       "동작구   25413  407802  0.062317  435\n",
       "서대문구  25241  325875  0.077456  450\n",
       "도봉구    2831  333495  0.008489  450\n",
       "강서구   35340  595703  0.059325  460\n",
       "송파구   21209  680883  0.031149  475\n",
       "강동구   19266  457042  0.042154  490\n",
       "강남구   42935  549898  0.078078  500\n",
       "서초구   26391  434801  0.060697  510"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temptable=temptable.sort_values(by=['월소득'], axis=0)\n",
    "temptable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import font_manager, rc\n",
    "font_name = font_manager.FontProperties(fname=\"c:/Windows/Fonts/malgun.ttf\").get_name()\n",
    "rc('font', family=font_name)\n",
    "plt.figure(figsize=(20,10))\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ja=df.query('업종.str.contains(\"중국\")')\n",
    "cc = ja.groupby('시군구')\n",
    "cc =cc['통화건수'].sum()\n",
    "t2 = GDP_seoul.groupby('자치구')\n",
    "t2 = t2['인구수'].sum()\n",
    "t2table = pd.concat([cc, t2], axis=1)\n",
    "t2table['1인당 배달비율']=t2table['통화건수'].astype('float')/t2table['인구수'].astype('float')\n",
    "t3 = GDP_seoul.groupby('자치구')\n",
    "t3 = t3['월소득'].sum()\n",
    "t2table = pd.concat([t2table, t3], axis=1)\n",
    "t2table=t2table.sort_values(by=['월소득'], axis=0)\n",
    "plt.figure(figsize=(20,10))\n",
    "jja=t2table['통화건수']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bo=df.query('업종.str.contains(\"보쌈\")')\n",
    "cc = bo.groupby('시군구')\n",
    "cc =cc['통화건수'].sum()\n",
    "t2 = GDP_seoul.groupby('자치구')\n",
    "t2 = t2['인구수'].sum()\n",
    "t2table = pd.concat([cc, t2], axis=1)\n",
    "t2table['1인당 배달비율']=t2table['통화건수'].astype('float')/t2table['인구수'].astype('float')\n",
    "t3 = GDP_seoul.groupby('자치구')\n",
    "t3 = t3['월소득'].sum()\n",
    "t2table = pd.concat([t2table, t3], axis=1)\n",
    "t2table=t2table.sort_values(by=['월소득'], axis=0)\n",
    "plt.figure(figsize=(20,10))\n",
    "ssam=t2table['통화건수']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ck=df.query('업종.str.contains(\"치킨\")')\n",
    "cc = ck.groupby('시군구')\n",
    "cc =cc['통화건수'].sum()\n",
    "t2 = GDP_seoul.groupby('자치구')\n",
    "t2 = t2['인구수'].sum()\n",
    "t2table = pd.concat([cc, t2], axis=1)\n",
    "t2table['1인당 배달비율']=t2table['통화건수'].astype('float')/t2table['인구수'].astype('float')\n",
    "t3 = GDP_seoul.groupby('자치구')\n",
    "t3 = t3['월소득'].sum()\n",
    "t2table = pd.concat([t2table, t3], axis=1)\n",
    "t2table=t2table.sort_values(by=['월소득'], axis=0)\n",
    "plt.figure(figsize=(20,10))\n",
    "ckck=t2table['통화건수']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ck=df.query('업종.str.contains(\"피자\")')\n",
    "cc = ck.groupby('시군구')\n",
    "cc =cc['통화건수'].sum()\n",
    "t2 = GDP_seoul.groupby('자치구')\n",
    "t2 = t2['인구수'].sum()\n",
    "t2table = pd.concat([cc, t2], axis=1)\n",
    "t2table['1인당 배달비율']=t2table['통화건수'].astype('float')/t2table['인구수'].astype('float')\n",
    "t3 = GDP_seoul.groupby('자치구')\n",
    "t3 = t3['월소득'].sum()\n",
    "t2table = pd.concat([t2table, t3], axis=1)\n",
    "t2table=t2table.sort_values(by=['월소득'], axis=0)\n",
    "plt.figure(figsize=(20,10))\n",
    "pipi=t2table['통화건수']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.plot(temptable.index,jja,temptable.index,ssam,temptable.index,ckck,temptable.index,pipi)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "A=jja\n",
    "\n",
    "A=A.to_frame()\n",
    "#ssam=ssam.to_frame()\n",
    "#pipi=pipi.to_frame()\n",
    "#ckck=ckck.to_frame()\n",
    "\n",
    "#pipi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>통화건수</th>\n",
       "      <th>통화건수</th>\n",
       "      <th>통화건수</th>\n",
       "      <th>통화건수</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자치구</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>4994</td>\n",
       "      <td>6580</td>\n",
       "      <td>19309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>1331</td>\n",
       "      <td>2857</td>\n",
       "      <td>5591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>1010</td>\n",
       "      <td>2787</td>\n",
       "      <td>6652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>4185</td>\n",
       "      <td>6615</td>\n",
       "      <td>12571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>4970</td>\n",
       "      <td>10407</td>\n",
       "      <td>24674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>3012</td>\n",
       "      <td>6732</td>\n",
       "      <td>15719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>1156</td>\n",
       "      <td>3338</td>\n",
       "      <td>5810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>4654</td>\n",
       "      <td>6566</td>\n",
       "      <td>18867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>1697</td>\n",
       "      <td>3702</td>\n",
       "      <td>8250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>4031</td>\n",
       "      <td>7099</td>\n",
       "      <td>21038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>3599</td>\n",
       "      <td>6543</td>\n",
       "      <td>14994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>3788</td>\n",
       "      <td>8449</td>\n",
       "      <td>24257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>2531</td>\n",
       "      <td>6802</td>\n",
       "      <td>16325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>2428</td>\n",
       "      <td>4965</td>\n",
       "      <td>14895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>5591</td>\n",
       "      <td>9408</td>\n",
       "      <td>28983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>2303</td>\n",
       "      <td>6454</td>\n",
       "      <td>17926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>1670</td>\n",
       "      <td>2620</td>\n",
       "      <td>7746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>4606</td>\n",
       "      <td>12280</td>\n",
       "      <td>34192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>5234</td>\n",
       "      <td>8813</td>\n",
       "      <td>23952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>890</td>\n",
       "      <td>2044</td>\n",
       "      <td>3732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>6978</td>\n",
       "      <td>14474</td>\n",
       "      <td>46134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>4565</td>\n",
       "      <td>7295</td>\n",
       "      <td>26928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>4173</td>\n",
       "      <td>8959</td>\n",
       "      <td>18553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>7318</td>\n",
       "      <td>12064</td>\n",
       "      <td>32281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>5477</td>\n",
       "      <td>8514</td>\n",
       "      <td>25546</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       통화건수  통화건수   통화건수   통화건수\n",
       "자치구                            \n",
       "중구    29069  4994   6580  19309\n",
       "광진구    5005  1331   2857   5591\n",
       "양천구    5397  1010   2787   6652\n",
       "동대문구  21560  4185   6615  12571\n",
       "강북구   19239  4970  10407  24674\n",
       "용산구   20577  3012   6732  15719\n",
       "관악구    4409  1156   3338   5810\n",
       "성북구   15359  4654   6566  18867\n",
       "금천구    6053  1697   3702   8250\n",
       "성동구   20509  4031   7099  21038\n",
       "중랑구   13601  3599   6543  14994\n",
       "노원구   15121  3788   8449  24257\n",
       "마포구   14548  2531   6802  16325\n",
       "구로구    9442  2428   4965  14895\n",
       "영등포구  17222  5591   9408  28983\n",
       "은평구   11742  2303   6454  17926\n",
       "종로구   10974  1670   2620   7746\n",
       "동작구   25413  4606  12280  34192\n",
       "서대문구  25241  5234   8813  23952\n",
       "도봉구    2831   890   2044   3732\n",
       "강서구   35340  6978  14474  46134\n",
       "송파구   21209  4565   7295  26928\n",
       "강동구   19266  4173   8959  18553\n",
       "강남구   42935  7318  12064  32281\n",
       "서초구   26391  5477   8514  25546"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totaltable=pd.concat([A,ssam,pipi,ckck],axis=1)\n",
    "totaltable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>짜장</th>\n",
       "      <th>보쌈</th>\n",
       "      <th>피자</th>\n",
       "      <th>치킨</th>\n",
       "      <th>자치구</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자치구</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>4994</td>\n",
       "      <td>6580</td>\n",
       "      <td>19309</td>\n",
       "      <td>중구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>1331</td>\n",
       "      <td>2857</td>\n",
       "      <td>5591</td>\n",
       "      <td>광진구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>1010</td>\n",
       "      <td>2787</td>\n",
       "      <td>6652</td>\n",
       "      <td>양천구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>4185</td>\n",
       "      <td>6615</td>\n",
       "      <td>12571</td>\n",
       "      <td>동대문구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>4970</td>\n",
       "      <td>10407</td>\n",
       "      <td>24674</td>\n",
       "      <td>강북구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>3012</td>\n",
       "      <td>6732</td>\n",
       "      <td>15719</td>\n",
       "      <td>용산구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>1156</td>\n",
       "      <td>3338</td>\n",
       "      <td>5810</td>\n",
       "      <td>관악구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>4654</td>\n",
       "      <td>6566</td>\n",
       "      <td>18867</td>\n",
       "      <td>성북구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>1697</td>\n",
       "      <td>3702</td>\n",
       "      <td>8250</td>\n",
       "      <td>금천구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>4031</td>\n",
       "      <td>7099</td>\n",
       "      <td>21038</td>\n",
       "      <td>성동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>3599</td>\n",
       "      <td>6543</td>\n",
       "      <td>14994</td>\n",
       "      <td>중랑구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>3788</td>\n",
       "      <td>8449</td>\n",
       "      <td>24257</td>\n",
       "      <td>노원구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>2531</td>\n",
       "      <td>6802</td>\n",
       "      <td>16325</td>\n",
       "      <td>마포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>2428</td>\n",
       "      <td>4965</td>\n",
       "      <td>14895</td>\n",
       "      <td>구로구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>5591</td>\n",
       "      <td>9408</td>\n",
       "      <td>28983</td>\n",
       "      <td>영등포구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>2303</td>\n",
       "      <td>6454</td>\n",
       "      <td>17926</td>\n",
       "      <td>은평구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>1670</td>\n",
       "      <td>2620</td>\n",
       "      <td>7746</td>\n",
       "      <td>종로구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>4606</td>\n",
       "      <td>12280</td>\n",
       "      <td>34192</td>\n",
       "      <td>동작구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>5234</td>\n",
       "      <td>8813</td>\n",
       "      <td>23952</td>\n",
       "      <td>서대문구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>890</td>\n",
       "      <td>2044</td>\n",
       "      <td>3732</td>\n",
       "      <td>도봉구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>6978</td>\n",
       "      <td>14474</td>\n",
       "      <td>46134</td>\n",
       "      <td>강서구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>4565</td>\n",
       "      <td>7295</td>\n",
       "      <td>26928</td>\n",
       "      <td>송파구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>4173</td>\n",
       "      <td>8959</td>\n",
       "      <td>18553</td>\n",
       "      <td>강동구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>7318</td>\n",
       "      <td>12064</td>\n",
       "      <td>32281</td>\n",
       "      <td>강남구</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>5477</td>\n",
       "      <td>8514</td>\n",
       "      <td>25546</td>\n",
       "      <td>서초구</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         짜장    보쌈     피자     치킨   자치구\n",
       "자치구                                  \n",
       "중구    29069  4994   6580  19309    중구\n",
       "광진구    5005  1331   2857   5591   광진구\n",
       "양천구    5397  1010   2787   6652   양천구\n",
       "동대문구  21560  4185   6615  12571  동대문구\n",
       "강북구   19239  4970  10407  24674   강북구\n",
       "용산구   20577  3012   6732  15719   용산구\n",
       "관악구    4409  1156   3338   5810   관악구\n",
       "성북구   15359  4654   6566  18867   성북구\n",
       "금천구    6053  1697   3702   8250   금천구\n",
       "성동구   20509  4031   7099  21038   성동구\n",
       "중랑구   13601  3599   6543  14994   중랑구\n",
       "노원구   15121  3788   8449  24257   노원구\n",
       "마포구   14548  2531   6802  16325   마포구\n",
       "구로구    9442  2428   4965  14895   구로구\n",
       "영등포구  17222  5591   9408  28983  영등포구\n",
       "은평구   11742  2303   6454  17926   은평구\n",
       "종로구   10974  1670   2620   7746   종로구\n",
       "동작구   25413  4606  12280  34192   동작구\n",
       "서대문구  25241  5234   8813  23952  서대문구\n",
       "도봉구    2831   890   2044   3732   도봉구\n",
       "강서구   35340  6978  14474  46134   강서구\n",
       "송파구   21209  4565   7295  26928   송파구\n",
       "강동구   19266  4173   8959  18553   강동구\n",
       "강남구   42935  7318  12064  32281   강남구\n",
       "서초구   26391  5477   8514  25546   서초구"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totaltable.columns=[\"짜장\",\"보쌈\",\"피자\",\"치킨\"]\n",
    "totaltable\n",
    "totaltable['자치구']=totaltable.index\n",
    "totaltable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.plot(totaltable.index,totaltable['짜장'],label='짜장')\n",
    "plt.plot(totaltable.index,totaltable['보쌈'],label='보쌈')\n",
    "plt.plot(totaltable.index,totaltable['치킨'],label='치킨')\n",
    "plt.plot(totaltable.index,totaltable['피자'],label='피자')\n",
    "plt.xlabel('서울 자치구(월평균 소득)',fontsize='x-large')\n",
    "plt.ylabel('배달량',fontsize='x-large')\n",
    "plt.legend(fontsize='x-large')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temptable\n",
    "totaltable['총배달량']=temptable['통화건수']\n",
    "totaltable['월소득']=temptable['월소득']\n",
    "totaltable['인구수']=temptable['인구수']\n",
    "\n",
    "totaltable_filter=totaltable.filter(['총배달량','월소득','인구수'])\n",
    "sns.pairplot(totaltable_filter)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2a61c303d30>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"월소득\", y=\"총배달량\", data=totaltable_filter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>짜장</th>\n",
       "      <th>보쌈</th>\n",
       "      <th>피자</th>\n",
       "      <th>치킨</th>\n",
       "      <th>자치구</th>\n",
       "      <th>총배달량</th>\n",
       "      <th>월소득</th>\n",
       "      <th>인구수</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자치구</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>4994</td>\n",
       "      <td>6580</td>\n",
       "      <td>19309</td>\n",
       "      <td>중구</td>\n",
       "      <td>29069</td>\n",
       "      <td>345</td>\n",
       "      <td>136469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>1331</td>\n",
       "      <td>2857</td>\n",
       "      <td>5591</td>\n",
       "      <td>광진구</td>\n",
       "      <td>5005</td>\n",
       "      <td>350</td>\n",
       "      <td>365990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>1010</td>\n",
       "      <td>2787</td>\n",
       "      <td>6652</td>\n",
       "      <td>양천구</td>\n",
       "      <td>5397</td>\n",
       "      <td>370</td>\n",
       "      <td>460532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>4185</td>\n",
       "      <td>6615</td>\n",
       "      <td>12571</td>\n",
       "      <td>동대문구</td>\n",
       "      <td>21560</td>\n",
       "      <td>370</td>\n",
       "      <td>362793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>4970</td>\n",
       "      <td>10407</td>\n",
       "      <td>24674</td>\n",
       "      <td>강북구</td>\n",
       "      <td>19239</td>\n",
       "      <td>380</td>\n",
       "      <td>316750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>3012</td>\n",
       "      <td>6732</td>\n",
       "      <td>15719</td>\n",
       "      <td>용산구</td>\n",
       "      <td>20577</td>\n",
       "      <td>385</td>\n",
       "      <td>246165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>1156</td>\n",
       "      <td>3338</td>\n",
       "      <td>5810</td>\n",
       "      <td>관악구</td>\n",
       "      <td>4409</td>\n",
       "      <td>385</td>\n",
       "      <td>516662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>4654</td>\n",
       "      <td>6566</td>\n",
       "      <td>18867</td>\n",
       "      <td>성북구</td>\n",
       "      <td>15359</td>\n",
       "      <td>390</td>\n",
       "      <td>454532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>1697</td>\n",
       "      <td>3702</td>\n",
       "      <td>8250</td>\n",
       "      <td>금천구</td>\n",
       "      <td>6053</td>\n",
       "      <td>390</td>\n",
       "      <td>251370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>4031</td>\n",
       "      <td>7099</td>\n",
       "      <td>21038</td>\n",
       "      <td>성동구</td>\n",
       "      <td>20509</td>\n",
       "      <td>395</td>\n",
       "      <td>307193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>3599</td>\n",
       "      <td>6543</td>\n",
       "      <td>14994</td>\n",
       "      <td>중랑구</td>\n",
       "      <td>13601</td>\n",
       "      <td>400</td>\n",
       "      <td>400678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>3788</td>\n",
       "      <td>8449</td>\n",
       "      <td>24257</td>\n",
       "      <td>노원구</td>\n",
       "      <td>15121</td>\n",
       "      <td>405</td>\n",
       "      <td>535495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>2531</td>\n",
       "      <td>6802</td>\n",
       "      <td>16325</td>\n",
       "      <td>마포구</td>\n",
       "      <td>14548</td>\n",
       "      <td>425</td>\n",
       "      <td>386086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>2428</td>\n",
       "      <td>4965</td>\n",
       "      <td>14895</td>\n",
       "      <td>구로구</td>\n",
       "      <td>9442</td>\n",
       "      <td>425</td>\n",
       "      <td>438308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>5591</td>\n",
       "      <td>9408</td>\n",
       "      <td>28983</td>\n",
       "      <td>영등포구</td>\n",
       "      <td>17222</td>\n",
       "      <td>430</td>\n",
       "      <td>404766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>2303</td>\n",
       "      <td>6454</td>\n",
       "      <td>17926</td>\n",
       "      <td>은평구</td>\n",
       "      <td>11742</td>\n",
       "      <td>430</td>\n",
       "      <td>482509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>1670</td>\n",
       "      <td>2620</td>\n",
       "      <td>7746</td>\n",
       "      <td>종로구</td>\n",
       "      <td>10974</td>\n",
       "      <td>435</td>\n",
       "      <td>161984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>4606</td>\n",
       "      <td>12280</td>\n",
       "      <td>34192</td>\n",
       "      <td>동작구</td>\n",
       "      <td>25413</td>\n",
       "      <td>435</td>\n",
       "      <td>407802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>5234</td>\n",
       "      <td>8813</td>\n",
       "      <td>23952</td>\n",
       "      <td>서대문구</td>\n",
       "      <td>25241</td>\n",
       "      <td>450</td>\n",
       "      <td>325875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>890</td>\n",
       "      <td>2044</td>\n",
       "      <td>3732</td>\n",
       "      <td>도봉구</td>\n",
       "      <td>2831</td>\n",
       "      <td>450</td>\n",
       "      <td>333495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>6978</td>\n",
       "      <td>14474</td>\n",
       "      <td>46134</td>\n",
       "      <td>강서구</td>\n",
       "      <td>35340</td>\n",
       "      <td>460</td>\n",
       "      <td>595703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>4565</td>\n",
       "      <td>7295</td>\n",
       "      <td>26928</td>\n",
       "      <td>송파구</td>\n",
       "      <td>21209</td>\n",
       "      <td>475</td>\n",
       "      <td>680883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>4173</td>\n",
       "      <td>8959</td>\n",
       "      <td>18553</td>\n",
       "      <td>강동구</td>\n",
       "      <td>19266</td>\n",
       "      <td>490</td>\n",
       "      <td>457042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>7318</td>\n",
       "      <td>12064</td>\n",
       "      <td>32281</td>\n",
       "      <td>강남구</td>\n",
       "      <td>42935</td>\n",
       "      <td>500</td>\n",
       "      <td>549898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>5477</td>\n",
       "      <td>8514</td>\n",
       "      <td>25546</td>\n",
       "      <td>서초구</td>\n",
       "      <td>26391</td>\n",
       "      <td>510</td>\n",
       "      <td>434801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         짜장    보쌈     피자     치킨   자치구   총배달량  월소득     인구수\n",
       "자치구                                                      \n",
       "중구    29069  4994   6580  19309    중구  29069  345  136469\n",
       "광진구    5005  1331   2857   5591   광진구   5005  350  365990\n",
       "양천구    5397  1010   2787   6652   양천구   5397  370  460532\n",
       "동대문구  21560  4185   6615  12571  동대문구  21560  370  362793\n",
       "강북구   19239  4970  10407  24674   강북구  19239  380  316750\n",
       "용산구   20577  3012   6732  15719   용산구  20577  385  246165\n",
       "관악구    4409  1156   3338   5810   관악구   4409  385  516662\n",
       "성북구   15359  4654   6566  18867   성북구  15359  390  454532\n",
       "금천구    6053  1697   3702   8250   금천구   6053  390  251370\n",
       "성동구   20509  4031   7099  21038   성동구  20509  395  307193\n",
       "중랑구   13601  3599   6543  14994   중랑구  13601  400  400678\n",
       "노원구   15121  3788   8449  24257   노원구  15121  405  535495\n",
       "마포구   14548  2531   6802  16325   마포구  14548  425  386086\n",
       "구로구    9442  2428   4965  14895   구로구   9442  425  438308\n",
       "영등포구  17222  5591   9408  28983  영등포구  17222  430  404766\n",
       "은평구   11742  2303   6454  17926   은평구  11742  430  482509\n",
       "종로구   10974  1670   2620   7746   종로구  10974  435  161984\n",
       "동작구   25413  4606  12280  34192   동작구  25413  435  407802\n",
       "서대문구  25241  5234   8813  23952  서대문구  25241  450  325875\n",
       "도봉구    2831   890   2044   3732   도봉구   2831  450  333495\n",
       "강서구   35340  6978  14474  46134   강서구  35340  460  595703\n",
       "송파구   21209  4565   7295  26928   송파구  21209  475  680883\n",
       "강동구   19266  4173   8959  18553   강동구  19266  490  457042\n",
       "강남구   42935  7318  12064  32281   강남구  42935  500  549898\n",
       "서초구   26391  5477   8514  25546   서초구  26391  510  434801"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totaltable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data = totaltable.corr(),annot=True,fmt='.2f',cmap='Greens')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "popultable=totaltable.sort_values(by=['인구수'],axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2a62ab431d0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"인구수\", y=\"치킨\", data=popultable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2a62a9d5f28>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"인구수\", y=\"짜장\", data=popultable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\anaconda3\\envs\\myR\\lib\\site-packages\\ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  after removing the cwd from sys.path.\n",
      "C:\\Users\\user\\anaconda3\\envs\\myR\\lib\\site-packages\\ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "C:\\Users\\user\\anaconda3\\envs\\myR\\lib\\site-packages\\ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n",
      "C:\\Users\\user\\anaconda3\\envs\\myR\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
     ]
    },
    {
     "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>통화건수</th>\n",
       "      <th>월소득</th>\n",
       "      <th>음식종류</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자치구</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>29069</td>\n",
       "      <td>345</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5005</td>\n",
       "      <td>350</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>5397</td>\n",
       "      <td>370</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>21560</td>\n",
       "      <td>370</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>19239</td>\n",
       "      <td>380</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>20577</td>\n",
       "      <td>385</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>4409</td>\n",
       "      <td>385</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>15359</td>\n",
       "      <td>390</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>6053</td>\n",
       "      <td>390</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>20509</td>\n",
       "      <td>395</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>13601</td>\n",
       "      <td>400</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>15121</td>\n",
       "      <td>405</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>14548</td>\n",
       "      <td>425</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>9442</td>\n",
       "      <td>425</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>17222</td>\n",
       "      <td>430</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>11742</td>\n",
       "      <td>430</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>10974</td>\n",
       "      <td>435</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>25413</td>\n",
       "      <td>435</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>25241</td>\n",
       "      <td>450</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2831</td>\n",
       "      <td>450</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>35340</td>\n",
       "      <td>460</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>21209</td>\n",
       "      <td>475</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>19266</td>\n",
       "      <td>490</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>42935</td>\n",
       "      <td>500</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>26391</td>\n",
       "      <td>510</td>\n",
       "      <td>짜장</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>4994</td>\n",
       "      <td>345</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>1331</td>\n",
       "      <td>350</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>1010</td>\n",
       "      <td>370</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>4185</td>\n",
       "      <td>370</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>4970</td>\n",
       "      <td>380</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>3012</td>\n",
       "      <td>385</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>1156</td>\n",
       "      <td>385</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>4654</td>\n",
       "      <td>390</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>1697</td>\n",
       "      <td>390</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>4031</td>\n",
       "      <td>395</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>3599</td>\n",
       "      <td>400</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>3788</td>\n",
       "      <td>405</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>2531</td>\n",
       "      <td>425</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>2428</td>\n",
       "      <td>425</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>5591</td>\n",
       "      <td>430</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>2303</td>\n",
       "      <td>430</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>1670</td>\n",
       "      <td>435</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>4606</td>\n",
       "      <td>435</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>5234</td>\n",
       "      <td>450</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>890</td>\n",
       "      <td>450</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>6978</td>\n",
       "      <td>460</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>4565</td>\n",
       "      <td>475</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>4173</td>\n",
       "      <td>490</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>7318</td>\n",
       "      <td>500</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>5477</td>\n",
       "      <td>510</td>\n",
       "      <td>보쌈</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>6580</td>\n",
       "      <td>345</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>2857</td>\n",
       "      <td>350</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>2787</td>\n",
       "      <td>370</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>6615</td>\n",
       "      <td>370</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>10407</td>\n",
       "      <td>380</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>6732</td>\n",
       "      <td>385</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>3338</td>\n",
       "      <td>385</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>6566</td>\n",
       "      <td>390</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>3702</td>\n",
       "      <td>390</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>7099</td>\n",
       "      <td>395</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>6543</td>\n",
       "      <td>400</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>8449</td>\n",
       "      <td>405</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>6802</td>\n",
       "      <td>425</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>4965</td>\n",
       "      <td>425</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>9408</td>\n",
       "      <td>430</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>6454</td>\n",
       "      <td>430</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>2620</td>\n",
       "      <td>435</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>12280</td>\n",
       "      <td>435</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>8813</td>\n",
       "      <td>450</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>2044</td>\n",
       "      <td>450</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>14474</td>\n",
       "      <td>460</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>7295</td>\n",
       "      <td>475</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>8959</td>\n",
       "      <td>490</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>12064</td>\n",
       "      <td>500</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>8514</td>\n",
       "      <td>510</td>\n",
       "      <td>피자</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중구</th>\n",
       "      <td>19309</td>\n",
       "      <td>345</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광진구</th>\n",
       "      <td>5591</td>\n",
       "      <td>350</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>양천구</th>\n",
       "      <td>6652</td>\n",
       "      <td>370</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동대문구</th>\n",
       "      <td>12571</td>\n",
       "      <td>370</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강북구</th>\n",
       "      <td>24674</td>\n",
       "      <td>380</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용산구</th>\n",
       "      <td>15719</td>\n",
       "      <td>385</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>관악구</th>\n",
       "      <td>5810</td>\n",
       "      <td>385</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성북구</th>\n",
       "      <td>18867</td>\n",
       "      <td>390</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>금천구</th>\n",
       "      <td>8250</td>\n",
       "      <td>390</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>성동구</th>\n",
       "      <td>21038</td>\n",
       "      <td>395</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중랑구</th>\n",
       "      <td>14994</td>\n",
       "      <td>400</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원구</th>\n",
       "      <td>24257</td>\n",
       "      <td>405</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마포구</th>\n",
       "      <td>16325</td>\n",
       "      <td>425</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>구로구</th>\n",
       "      <td>14895</td>\n",
       "      <td>425</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>영등포구</th>\n",
       "      <td>28983</td>\n",
       "      <td>430</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은평구</th>\n",
       "      <td>17926</td>\n",
       "      <td>430</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>종로구</th>\n",
       "      <td>7746</td>\n",
       "      <td>435</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>동작구</th>\n",
       "      <td>34192</td>\n",
       "      <td>435</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서대문구</th>\n",
       "      <td>23952</td>\n",
       "      <td>450</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉구</th>\n",
       "      <td>3732</td>\n",
       "      <td>450</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강서구</th>\n",
       "      <td>46134</td>\n",
       "      <td>460</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>송파구</th>\n",
       "      <td>26928</td>\n",
       "      <td>475</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강동구</th>\n",
       "      <td>18553</td>\n",
       "      <td>490</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구</th>\n",
       "      <td>32281</td>\n",
       "      <td>500</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서초구</th>\n",
       "      <td>25546</td>\n",
       "      <td>510</td>\n",
       "      <td>치킨</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       통화건수  월소득 음식종류\n",
       "자치구                  \n",
       "중구    29069  345   짜장\n",
       "광진구    5005  350   짜장\n",
       "양천구    5397  370   짜장\n",
       "동대문구  21560  370   짜장\n",
       "강북구   19239  380   짜장\n",
       "용산구   20577  385   짜장\n",
       "관악구    4409  385   짜장\n",
       "성북구   15359  390   짜장\n",
       "금천구    6053  390   짜장\n",
       "성동구   20509  395   짜장\n",
       "중랑구   13601  400   짜장\n",
       "노원구   15121  405   짜장\n",
       "마포구   14548  425   짜장\n",
       "구로구    9442  425   짜장\n",
       "영등포구  17222  430   짜장\n",
       "은평구   11742  430   짜장\n",
       "종로구   10974  435   짜장\n",
       "동작구   25413  435   짜장\n",
       "서대문구  25241  450   짜장\n",
       "도봉구    2831  450   짜장\n",
       "강서구   35340  460   짜장\n",
       "송파구   21209  475   짜장\n",
       "강동구   19266  490   짜장\n",
       "강남구   42935  500   짜장\n",
       "서초구   26391  510   짜장\n",
       "중구     4994  345   보쌈\n",
       "광진구    1331  350   보쌈\n",
       "양천구    1010  370   보쌈\n",
       "동대문구   4185  370   보쌈\n",
       "강북구    4970  380   보쌈\n",
       "용산구    3012  385   보쌈\n",
       "관악구    1156  385   보쌈\n",
       "성북구    4654  390   보쌈\n",
       "금천구    1697  390   보쌈\n",
       "성동구    4031  395   보쌈\n",
       "중랑구    3599  400   보쌈\n",
       "노원구    3788  405   보쌈\n",
       "마포구    2531  425   보쌈\n",
       "구로구    2428  425   보쌈\n",
       "영등포구   5591  430   보쌈\n",
       "은평구    2303  430   보쌈\n",
       "종로구    1670  435   보쌈\n",
       "동작구    4606  435   보쌈\n",
       "서대문구   5234  450   보쌈\n",
       "도봉구     890  450   보쌈\n",
       "강서구    6978  460   보쌈\n",
       "송파구    4565  475   보쌈\n",
       "강동구    4173  490   보쌈\n",
       "강남구    7318  500   보쌈\n",
       "서초구    5477  510   보쌈\n",
       "중구     6580  345   피자\n",
       "광진구    2857  350   피자\n",
       "양천구    2787  370   피자\n",
       "동대문구   6615  370   피자\n",
       "강북구   10407  380   피자\n",
       "용산구    6732  385   피자\n",
       "관악구    3338  385   피자\n",
       "성북구    6566  390   피자\n",
       "금천구    3702  390   피자\n",
       "성동구    7099  395   피자\n",
       "중랑구    6543  400   피자\n",
       "노원구    8449  405   피자\n",
       "마포구    6802  425   피자\n",
       "구로구    4965  425   피자\n",
       "영등포구   9408  430   피자\n",
       "은평구    6454  430   피자\n",
       "종로구    2620  435   피자\n",
       "동작구   12280  435   피자\n",
       "서대문구   8813  450   피자\n",
       "도봉구    2044  450   피자\n",
       "강서구   14474  460   피자\n",
       "송파구    7295  475   피자\n",
       "강동구    8959  490   피자\n",
       "강남구   12064  500   피자\n",
       "서초구    8514  510   피자\n",
       "중구    19309  345   치킨\n",
       "광진구    5591  350   치킨\n",
       "양천구    6652  370   치킨\n",
       "동대문구  12571  370   치킨\n",
       "강북구   24674  380   치킨\n",
       "용산구   15719  385   치킨\n",
       "관악구    5810  385   치킨\n",
       "성북구   18867  390   치킨\n",
       "금천구    8250  390   치킨\n",
       "성동구   21038  395   치킨\n",
       "중랑구   14994  400   치킨\n",
       "노원구   24257  405   치킨\n",
       "마포구   16325  425   치킨\n",
       "구로구   14895  425   치킨\n",
       "영등포구  28983  430   치킨\n",
       "은평구   17926  430   치킨\n",
       "종로구    7746  435   치킨\n",
       "동작구   34192  435   치킨\n",
       "서대문구  23952  450   치킨\n",
       "도봉구    3732  450   치킨\n",
       "강서구   46134  460   치킨\n",
       "송파구   26928  475   치킨\n",
       "강동구   18553  490   치킨\n",
       "강남구   32281  500   치킨\n",
       "서초구   25546  510   치킨"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totaltable\n",
    "ntotaltable1=totaltable[['짜장','월소득']]\n",
    "ntotaltable1.columns=['통화건수','월소득']\n",
    "ntotaltable1['음식종류']='짜장'\n",
    "\n",
    "\n",
    "\n",
    "ntotaltable2=totaltable[['보쌈','월소득']]\n",
    "ntotaltable2.columns=['통화건수','월소득']\n",
    "ntotaltable2['음식종류']='보쌈'\n",
    "\n",
    "ntotaltable3=totaltable[['피자','월소득']]\n",
    "ntotaltable3.columns=['통화건수','월소득']\n",
    "ntotaltable3['음식종류']='피자'\n",
    "\n",
    "\n",
    "ntotaltable4=totaltable[['치킨','월소득']]\n",
    "ntotaltable4.columns=['통화건수','월소득']\n",
    "ntotaltable4['음식종류']='치킨'\n",
    "\n",
    "linetable=pd.concat([ntotaltable1,ntotaltable2,ntotaltable3,ntotaltable4],axis=0)\n",
    "linetable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "qualitative_colors = sns.color_palette(\"Set3\", 10)\n",
    "plt.figure(figsize=(20,10))\n",
    "ax = sns.lineplot(x = '자치구', y = '통화건수',hue=\"음식종류\",data = linetable,err_style='bars')\n",
    "plt.legend(fontsize=12, loc='best')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsAAAAIQCAYAAACPEdjAAAAgAElEQVR4XuzdC5Q0V10t8BLkKg+BJBACai5CAiQhCQlJEGIEIeaiREBFQaLgRSIiqAheUfTyVHHJQ0EQBJSnCCJgAEVRICTk/U4gb1AIIEQIIEgULnDXr+CM56uvu6d7pqu7enqftWZ9yUx11al9TnXt2rXP/n/L17/+9a83aUEgCASBIBAEgkAQCAJBYE0Q+JYQ4DUZ6ZxmEAgCQSAIBIEgEASCQItACHAmQhAIAkEgCASBIBAEgsBaIRACvFbDnZMNAkEgCASBIBAEgkAQCAHOHAgCQSAIBIEgEASCQBBYKwRCgNdquHOyQSAIBIEgEASCQBAIAiHAmQNBIAgEgSAQBIJAEAgCa4VACPBaDXdONggEgSAQBIJAEAgCQSAEOHMgCASBIBAEgkAQCAJBYK0QCAFeq+HOyQaBIBAEgkAQCAJBIAiEAGcOBIEgEASCQBAIAkEgCKwVAiHAazXcOdkgEASCQBAIAkEgCASBEODMgSAQBIJAEAgCQSAIBIG1QiAEeK2GOycbBIJAEAgCQSAIBIEgEAKcORAEgkAQCAJBIAgEgSCwVgiEAK/VcOdkg0AQCAJBIAgEgSAQBEKAMweCQBAIAkEgCASBIBAE1gqBEOC1Gu6cbBAIAkEgCASBIBAEgkAIcOZAEAgCQSAIBIEgEASCwFohEAK8VsOdkw0CQSAIBIEgEASCQBAIAc4cCAJBIAgEgSAQBIJAEFgrBEKA12q4c7JBIAgEgSAQBIJAEAgCIcCZA0EgCASBIBAEgkAQCAJrhUAI8FoNd042CASBIBAEgkAQCAJBIAQ4cyAIBIEgEASCQBAIAkFgrRAIAV6r4c7JBoEgEASCQBAIAkEgCIQAZw4EgSAQBIJAEAgCQSAIrBUCIcBrNdw52SAQBIJAEAgCQSAIBIEQ4MyBIBAEgkAQCAJBIAgEgbVCIAR4rYY7JxsEgkAQCAJBIAgEgSAQApw5EASCQBAIAkEgCASBILBWCIQAr9Vw52SDQBAIAkEgCASBIBAEQoAzB4JAEAgCQSAIBIEgEATWCoEQ4LUa7pxsEAgCQSAIBIEgEASCQAhw5kAQCAJBIAgEgSAQBILAWiEQArxWw52TDQJBIAgEgSAQBIJAEAgBzhwIAkEgCASBIBAEgkAQWCsEQoDXarhzskEgCASBIBAEgkAQCAIhwJkDQSAIBIEgEASCQBAIAmuFQAjwWg13TjYIBIEgEASCQBAIAkEgBDhzIAgEgSAQBIJAEAgCQWCtEAgBXqvhzskGgSAQBIJAEAgCQSAIhABnDgSBIBAEgkAQCAJBIAisFQIhwGs13DnZIBAEgkAQCAJBIAgEgRDgzIEgEASCQBAIAkEgCASBtUIgBHithjsnGwSCQBAIAkEgCASBIBACnDkQBIJAEAgCQSAIBIEgsFYIhACv1XDnZINAEAgCQSAIBIEgEARCgDMHgkAQCAJBIAgEgSAQBNYKgRDgtRrunGwQCAJBIAgEgSAQBIJACHDmQBAIAkEgCASBIBAEgsBaIRACvFbDnZMNAkEgCASBIBAEgkAQCAHOHAgCQSAIBIEgEASCQBBYKwRCgNdquHOyQSAIBIEgEASCQBAIAiHAmQNBIAgEgSAQBIJAEAgCa4VACPBaDXdONggEgSAQBIJAEAgCQSAEOHMgCASBIBAEgkAQCAJBYK0QCAFeq+HOyQaBIBAEgkAQCAJBIAiEAGcOBIEgEASCQBAIAkEgCKwVAiHAazXcOdkgEASCQBAIAkEgCASBEODMgSAQBIJAEAgCQSAIBIG1QiAEeK2GOycbBIJAEAgCQSAIBIEgEAKcORAEgkAQCAJBIAgEgSCwVgiEAK/VcOdkg0AQCAJBIAgEgSAQBEKAMweCQBAIAkEgCASBIBAE1gqBEOC1Gu6cbBAIAkEgCASBIBAEgkAIcOZAEAgCQSAIBIEgEASCwFohEAK8VsOdkw0CQSAIBIEgEASCQBAIAc4cCAJBIAgEgSAQBIJAEFgrBEKA12q4c7JBIAgEgSAQBIJAEAgCIcCZA0EgCASBIBAEgkAQCAJrhUAI8FoNd042CASBILBaCHz9619vvvKVr7Q/3/7t397c8IY3XK0TSG+DQBAYJAIhwIMclnQqCASBILDeCCC+/+///b/mv/7rv1ry+9WvfrW58Y1v3NzkJjdpvuVbvmW9wcnZB4EgsG0EQoC3DWF2EASCQBAIAvNCoEt8/X/5QYCjAs8L6ewnCKw3AiHA6z3+OfsgEASCwCAQGEV8b3CDGzR+KMHat33btzXf+q3f2vyP//E/ogIPYtTSiSCwugiEAK/u2KXnQSAIBIGVR2AS8S1WBzYI3l/qr4YAxwu88kOfEwgCS0UgBHip8OfgQSAIBIH1RKAsbkNuKbz+H6lFemuPr99/+tOfbm55y1u2/t+vfe1r7XZRgddz3uSsg8C8EAgBnheS2U8QCAJBIAhsisCsxPef//mfmy9+8YvNd3/3dzcHHXRQS4CjAm8KczYIAkFgEwRCgDNFgkAQCAJBoHcEZiG+//Zv/9b8y7/8S/OlL32pue1tb9t6f/3/ve9971b5jQrc+3DlAEFgxyMQArzjhzgnGASCQBBYHgKzEN9rr722JbrXX399853f+Z3Nvvvu2y6CE4F2ySWXNHvuuWdzwAEHRAVe3nDmyEFgxyAQArxjhjInEgSCQBAYDgLTEl9qbiG+/MCF+FJ6tS9/+cvtv2wQF198cfP93//9rSIcFXg4Y52eBIFVRCAEeBVHLX0OAkEgCAwUAcQXafVTL26j5NYNgf3Upz7VKr62/a7v+q7W51uIb9n2P//zP9tFbxbAnXHGGc0ee+wRFXigY59uBYFVQiAEeJVGK30NAkEgCAwUgVmI7yc/+cmW+CLIhfje6EY32uXM/O2aa65pf25/+9s3++23X6sUX3jhhVGBBzoH0q0gsEoIhACv0milr0EgCASBgSFQiG+JM9M9iu0oxfdf//Vfm4985CMt8aX2Ir9d4qvs8cc+9rGW+Cp68R3f8R3N5z73uXYBnP1GBR7YBEh3gsCKIhACvKIDl24HgSAQBJaJAAsDsjoN8f3EJz7REl+fKcQXua2bfRXFlw3if/7P/9nc6la3ahfAXXDBBe2CuDvc4Q5RgZc56Dl2ENhBCIQA76DBzKkEgSAQBPpGYFrii7givh/96Edb4ovAWuDWJb78v4gv1dfiNsT3Nre5TasgI8U++9nPfra56qqrdlGBFcY48MADkwjR94Bn/0FghyIQArxDBzanFQSCQBCYJwKIqAVp1113XXPjG9+4Jajlpz4O4vvxj3+8Jb5aIb7d0sWIr21si/jy+SK+dRU46rJjON4pp5zSqsd3vOMdowLPc2CzryCwpgiEAK/pwOe0g0AQCALTIID4llSHf//3f2/OO++85uijj25Ja934egvxRWIpube73e1a327dkNpCfBHb7/me72lufetbjyx/bKHc3nvv3ey///6tSnzllVdGBZ5m0LJNEAgCmyIQArwpRNkgCASBILB+CNTEF7lFahFgWbwWpBWl1t/KojVqLeKretso4ssHzBYh0oziO4r41lXgbn7zm7f5v2UB3KmnntounCsqMG+wvyUXeP3mZ844CGwXgRDg7SKYzweBIBAEdhAChfhSatkZEF1k1r/iyz784Q8397rXvVp/bp3WUIhvN/2BbaIQ35vd7GYt8bW4rbY6SJLoVoFDdDWxZ7zDYtAc74orrtggxGeeeWZzi1vcovUC24cfC+i65HsHDU9OJQgEgTkhEAI8JyCzmyAQBILAKiMwifiW82JdULxir732asmoBW0I7T777LNb7Jlyxoiv6DNRZrbzuS7xLcUwulXgKMsIuAi0mvTWKjC1+Pzzz29zgb/927891eFWeQKm70FgwQiEAC8Y8BwuCASBIDAkBBBf5JPPt6v41v2k+F500UXNF77whZZslkVrXcX3S1/6Ukt8qcUsDLbbc889dyG+pQqc7Rx7VBU4x6PoOtbpp5/e+olrFRjpRcCpwI5z0EEHRQUe0sRKX4LAwBEIAR74AKV7QSAIBIE+EEB2y+K2ScS3TmvQD2Tzbne72y6E1u8RX4vWKLpsCYivssW14ov4IsaIL4I7qgoc0iv2jNWCcnzwwQe3i+suu+yyXbzAxRYRFbiP2ZF9BoGdj0AI8M4f45xhEAgCQWADgWmJbzetAaFFRJFayQ2l/cd//McG8fW3QnxryBHfzarAIb4i1v75n/+5VZnty/8Xe8P73//+dnGdRAj2i8svv7wlxFGBM7mDQBDYCgIhwFtBLZ8JAkEgCKwYAohvsTogpPXitvpUbDMureGss85qVVvqq3QGiq/FaywOiK/iFKOIr+0cXyawz9fFMBDfz3zmMy3xtU9WB3m/rBWXXnppc9Ob3nSkCowQF1tEVOAVm4zpbhAYAAIhwAMYhHQhCASBINAXAtMS35LWQKlFOkelNViAJu3h85//fIN0WtRmO5aHujlmUXzHVYFDfD/96U+3xJd9Apm1b5FmPm8RnIV0os6+7/u+ry2GUavAtS0CoUbOpUzc9a53jRe4r8mU/QaBHYRACPAOGsycShAIAkGgIDAt8UUypTvI5x2X1mCfSK8iGJoYM8SXH7hLfO2HgqyNqgKH+NZZv9Rk29WFNcqCPP0599xz24VwhxxyyIYXuCyAq1VgZFr/jjnmmJYsI97i0MSi1T7kzJAgEASCAARCgDMPgkAQCAI7CIFZiC9rgkVpiCZfbzetASyKX1Bp2RQ0RBQB7hJfiiziO64KXDfrlxUC8UVQSyvpEI7HAqHiHOJ99tlnbxDbqMA7aLLmVILAEhEIAV4i+Dl0EAgCQWAeCCCX9eI2RBKB9NNVP+u0Bgou4ttNa9AnxBMRtRBNOWKklyf3Pve5z0bmb13+eFwVOH0pRS7GRZ6VdAiE3D7lCrNQiDZjjUCAiwpMYf7gBz+4sQCuJsRRgecxm7KPILAeCIQAr8c45yyDQBDYgQgU4otYihWbRHylNZR8XovVCvHtwqLwBOIriuw2t7lN68vlrUUuEWD2g1L+mHWCzYAdQkJDnQlc1FyklqXBwjY/N7rRjXZRfLvpECwRzkvSg2Py/+pLUYGVUUZ69e1Od7rTLhFpvMC242GOF3gHTvicUhCYIwIhwHMEM7sKAkEgCCwCgVmIr2QFxFc+b4kw66Y12F8hvv6lwCK+iGRpxdvrb9dcc83YKnBdNRfpZXeoiW93kVzZBoFFrv0g02ecccaGCnzOOee0PmEWjEkqMKsG33C8wIuYiTlGEFhdBEKAV3fs0vMgEATWDIFZiW+JKRuX1lCKTlB8eX2pqtRcKmvdqMuXXHJJS5ItMBtVBa6b9Tsq8gzxLUTascsiOcTX5/3d7zXe4OJRRmYdW9IDRRgxr1Vg+yzqNKJNBXYOimjYnx/7o1anBYEgEAQgEAKceRAEgkAQGDgCNfH90Ic+1JLQW9/61iM9vopIII6SFsalNXSLTlB1kVr7rRvrArWXHYGXGKk8/PDDd7E6TFJzy75sY5Ecy4RWp0PUxNcxio3Cf/s55ZRTNlWBkV6E2HkolBEVeOATOt0LAgNAIAR4AIOQLgSBIBAERiGAqLIDIKLF40uJ7VZj81kKLuLLN4scI7TSHepWik7YDlG2wAwZHUV8kVWk1eIz+2KhsB2CqXXVXJYJ+6uLXNSL5LrpEKOIr88iwCUHGLHVVz5hyq+FeZNU4LI4LipwrqcgEAQ2QyAEeDOE8vcgEASCwIIRGEV8S6rDhRde2FZcK+WIkUIkkeo5ifgixrazGK4QX+S2bt3yx45hn8irjF2KMj9vreYW4lvbC8oiOepxNx1iEvHtqs9FBVaA44ADDmgr0PECszMceuihLTH+wAc+0CZCFBW4LI4rKjDiTLlOLvCCJ3EOFwQGjkAI8MAHKN0LAkFgfRAoxLekOvj/bpyZymgIMBW4pDWIKaPSSmvoKr510Ym62lqX+NbljxFfZLeOUDv99NPbwhcSGcZl/VKp2SUQ3246BFUXCXVOxepQFN9RIzytCnzaaae1JP3Od77zLovjkGReYKp1vMDrcw3lTIPAtAiEAE+LVLYLAkEgCPSEwDTEtxwaqaOwKl1cFq3VaQ226xadGFVtzXal/LFFZMgz4mvBXE18i5r74Q9/uFVZbSPyrFZ8Ed/iFUZqkXF+3GJnQGa1aYjvPFVgGcYU46jAPU3c7DYIrDACIcArPHjpehAIAquNwLTEt6Q1sDBIQ0BW5dx20xq6RScK8a2rrUFM+WOKLwvBuPLHXTWXKn3EEUfsUv7YNrzCVF/HqNMhkN6tEt8yqs7HMTbzAtcqcG2LKCpwKaKRRIjVvl7S+yAwTwRCgOeJZvYVBIJAEJgCgUJ8KbAU1lFWh6LkUjERX4vcqKo8vFTa4gG2XbfoBJ+ubN0u8VUFrhTDYGdAWLvlj0epubalPFNS7bNOh5DNaz9sGNtVfEdB51ijvMCyfqnNd7vb3dpyzhYHFi9wTYjhVxfRiBd4igmaTYLAGiAQArwGg5xTDAJBYBgIILoIJjW1EF9WgkLwSi+7aQ0sBxab8bMWDzAC3C06UYhvXXTCPuvyx7e4xS1awtotfzxJzaU6O+697nWvDatDyQNGfPV/HorvqFEapwJ7IDjzzDM3coGjAg9jjqcXQWBVEAgBXpWRSj+DQBBYWQRmIb4lrUEFt7JorU5rQESRWMorNReRHlVtDVjUYupxqQJXiG8NJIW1RJ4VNZe3uPYBS3246qqr2o8hvnU6RF/Et9vHWgW+y13u0qZRjFKBlWqmUteE2MK9Oj4tKvDKXkrpeBCYGwIhwHODMjsKAkEgCOyKwCzEd5q0BsTN63wKMrtBXUK4PjLyXKrAsTggvt3yx4X48u921dyyLxaNQo4R0IMOOqhNh9BKnJn/nnVx26zzpFaBS1oFO0ZRgY8++ujWF4306h+CXNsiEOK6lHK8wLOOQLYPAjsPgRDgnTemOaMgEASWjMAsxPfaa69tyaqFaePSGkrRCWQUcUVmRXvVRSecMuIrGg2ZHlf+uM76tYgOOS5ZvzXxLUQTsaRA68MhhxzS+pXrxW0sHH5KBbe+oO96gcepwBdffHHrBY4K3NdIZL9BYGcgEAK8M8YxZxEEgsAAEJiF+LIlIL4I6bi0hlElhBV4YIG4wx3usHHGqrohvuwT48ofFzVX5JnYNMS3m/XbTYdgdaAgX3bZZe2x9ttvv/Zfiu+iiG85ya4KzJZxzDHH7KYCyytG/msVmC2CvaMuohEVeAAXTLoQBJaIQAjwEsHPoYNAENgZCCBTFEo/9eK2ripa0hqoq4jvuLSGSSWEVYKTyoAAswAgvpOqwE2T9TsuHaKQRKoqtdgxF0186xkyTgVWpU6/SiJEVOCdcV3lLIJAnwiEAPeJbvYdBILAjkagJr5SFLRRdoCS1oD42m5cWsOkEsIFSAS4RJGJ+BpXBW6cmlsvbhuXDlGIb7E6sF6wVdzznvfcpQDGogd3nApMAT/jjDOa4gWOCrzokcnxgsDqIRACvHpjlh4HgSCwZAQK8S1xZpOIr8IMm6U1IL4qqfnh6xV5JvqsqyCLI6Nu2l5Sg+265Y+7ai4bQzfybFw6RClV3PX4+j1SyVagX8tsRQWGzamnntqWQPZAQQX2u8MOO6xNvbjooos2vMA1IU4ixDJHL8cOAsNBIAR4OGORngSBIDBwBBBBBIy6igRPIr68toivz4xLa5hUQriGAmljdUCAqb8l6aDeBql1POSPRxjxtViuVnzHpUPoY/mxz1Ee36uvvrrdtyzgep+LHrJaBS5V6HiBR6nA/MsHHHBAmwhRbBG8wHV8WlG7ZSd3FxUu+txyvCAQBBaHQAjw4rDOkYJAEFhRBArpovgithavsQN0Fdo6rcFn9t1333aBW5dYTSo6USCqyx9//vOfbxVfC9euvPLKDQ+wbafJ+kUO9bmbDjEN8S390ef3v//9g1SB73SnO7UPGaNU4LIArlaBPUgoosEyoRS0cWNd8XCxTHK/opdHuh0EVhKBEOCVHLZ0OggEgUUgUBRfqm+xBSCj1MT73Oc+G2RpVFoD4otU1W1SCeGa+HbLHyO+snq1sgiO97fO+qX4Un7rNi4dYhbiW++vqMCjyP8ixqMco6sCs44gukUFplIjtnzB7B9U4NoW0VWBfU6hj7vf/e67lY9e5HnlWEEgCCwOgRDgxWGdIwWBILAiCIwivqVkMY9tKcFLAS5WB8ohT67qbaOIb3ldP67oxKTyxzVsXt/zAOuHuC/EVypE3calQ2yV+JZ9r4IKfP7557cPJrzAMpY9MNQqcLFF1Cqw+DixaoprRAVekYs03QwC20QgBHibAObjQSAI7BwEauKLZBYvbP1anNr7vve9r114RVVEgsuitS7xnaboBOK7WfljCCO1FF/bItGqsnWJL3WaV7ibDrFd4luP8Ic+9KHWUztUFZjPmd1hkgqMECvuUeLTEHuK8f77798S4HiBd841nTMJAuMQCAHO3AgCQWDtESjEF2FFcEcRXyCVtAYk06Ipubij0hrqohPyc6m03aITiO805Y+7ai4bhdf6dSEMaqY+WSxXx6J1iS+yXmLatlq5bVVUYON1+OGH76YC17YIDwz+XzvyyCPbRYPxAq/910EAWBMEQoDXZKBzmkEgCOyOwLTEt5vW4HNUXwuv6iYdgtWBLUI8GeLLplAryIjvNOWPx6m54r3sGwEuxNe/ZZGcKm99EN+hq8B8wLCn7o5SgZHbAw88cBdCTAWmFnvIOO6449pxgl1U4HxbBIGdj0AI8M4f45xhEAgCHQSovKVy2yTFtxBf5AopshgN0bQIzivzO97xju2eEV/2BNYAvy8lhLvEd5ryx7WaW5Pacgo8rV7RU6sRt7INpblv4lv6UFRgGbw8z8ts3VxgNgbpG7zA06jAF1xwQWtlSSLEMkcxxw4Ci0cgBHjxmOeIQSAILAmBaYnvZmkNl112WZsDjBDL3kV8+XFHFZ2YpvyxfdVq7j777NMqzNTc0mzD2/vBD36wtWKwXthmkcR3FVVgXmVjw+rQVYHlB5911lmtnQWOFs7BOSrwki7QHDYILBCBEOAFgp1DBYEgsBwEEF+KKeVykuKL+G6W1uAMrrjiita/a3ukalTRiWnKH5esX/5dam4hvshYTXw/85nPtAqzuK5SCIP6OkrxpQ5Tnrfq8Z12hFZBBabuwrh4gf3/ve9970YMGkLsAUOlPn+nGFs4hywnF3jaWZDtgsDqIhACvLpjl54HgSCwCQKF+CKqyOK4xW3TpDU4VF10AsE89NBD2wVpdXOczcofFzUX8UVqi5pbsn7tb1w6BPKNuFGfHUvTl0UR364K7FwRx74J96ShrnOBay+w8TrttNPaxArEVnydrOTiBUaIYc43XMenRQXOV0sQ2PkIhADv/DHOGQaBtUNgWuJbpzUUUtlNawBet4Qw0kuRpSaWhoSVTGDH50MVlVZHapWsX8TXPvlnbdclvuPSIRyD/5hCjAAX4tuNX1vUgK+KCgw3RS7giuiWGLR/+qd/ah8mEHgKfIlPiwq8qBmU4wSB5SEQArw87HPkIBAE5ozAtMR3mrQGXeuWEC5FJ/z+nHPOaYkUVbkovuPKHxc1F/FVwKIQXykEpU1Kh7Bf52YbObyUTYRuCHm1+jM0FfhjH/vYxgPKKBUYwWUhQYCNnwcZY1EvnIsKPOeLM7sLAgNDIAR4YAOS7gSBIDA7AhaFlVSHSVaHadIaHL0uOkERprbWRScon6eeemqr3loAp/nvbvnjbtavv9uOB7UmviUdgiJNNbYNr29NfG1P8XVsr/It2BKxtuw2VBX4/e9/f5vSYaEgq0NXBVZI5NJLL20j5criuFEqMMyNV53osWzMc/wgEAS2j0AI8PYxzB6CQBBYAgLIZb24DcFBVvx0yQrVdbO0Bqcge5e1waKzW9/61i3xFWtWN8ekMFI+KbBU4W75466ai9TKDK6Jb50O8R/X/1dz5Vf2aL50g5s0t9/rps3xd711c4Pm663iW4ivYxWrA+JG2TziiCMGQcyGrAJT6Y1/1wvsoYn9wbgUWwQrSr1wLirwEi7sHDIILAiBEOAFAZ3DBIEgMB8EZiG+SGIhvuPSGgrxHVVCuO4xwoT4WmSFZCPCFEaq7ig118K6QnypuaXV6RBU631u913Ns8/4QnPeNf++sc0R333z5kU/cZfm2270rS3J7np8KdkIXVTg3edUnQtcq8Dyk41Z8QIrgywzWEERijqFnypcVGAL5yyY85mowPO5drOXIDAkBEKAhzQa6UsQCAJjESjEt/h3vf7n2xyl+NZpDRaslZiy7s6VDqb4+ndU0QnbF+IrHg0RpQpLbUCo9txzz400BjYGZLsQXzYG+bJd4ut49kl5RJBP+sCnm2f83VW7nffTf3j/5ieP+K6xeEQFHg1NnQhRvMC1Cvy93/u97Th6gDCOkjzqxXFFBS6WiajA+VIKAjsTgRDgnTmuOasgsGMQ6Cq+FDmKnUVMSGvdumkNiC8Vr24lexcRZXmoK6nV2/G2FsWXCov4yuktcV8KUiBSlMNCaovi2yW+FonZppsOgWT90Xs+3LzyrE/sNl6PPnrf5on3+0aluVEtKvD4KV5UYOPDq128wB5aPHx4eCoPKyURolaBLXIslomowDvmqyQnEgR2QSAEOBMiCASBQSIwyepQosC8wtbGpTWMIr6Tik7Yflz54zrntsSRqd7m99RcP3UqA7I7Lh2iXtz21ouvbX7nHz682xg88/g7Nw85fHKZ4ajAo6fuZiqwhxZvBjwAWQR317veNSrwIL8F0qkg0B8CIcD9YZs9B4EgsAUEEN+S6oCMjlrcRk399Kc/3dzpTndqlVX/La2B4ttdtDZN0Qnd3Kz8sW3qrF99Q3i9Uu8S35IH7NhSCCySs01NfEu1tq9/yw2an3/9Jc05HxtuGMwAACAASURBVPncBlpH3f6WzctPOLS50Q1vMBHBogKrZMaOsew2xESIogLz+lLxLXJjVznyyCPbRYa8wEoisz4oi2z+8AJHBV72bMrxg0C/CIQA94tv9h4EgsCUCExDfMuuWBOuvPLK9n/HpTWMKjqBjNbZu4X48vd+/OMfb/+GJO299967pCtQc5Fa25WsXwvbpB983/d9X9sP29iHbbRCfBGwUcQXIS6q8le++rXmpIs+2Xz0s9c3++5x4+ZBh+6zKfktWEQFHj3BahXYuFD+2R3Mncsuu6w56qijWhUY6S0qsAcphNh2CHG9cC5e4Ckv5GwWBFYEgRDgFRmodDMI7FQECvG1eIyC6P/HxZmxHFB8r7vuuhYOJW35cus2qugEMlpHkNm+Ln+M7FCPkek6Qq1LauusX6/PkSUEmNUB8dVvx7K4ahriO48xjQo8HsXaCywRwhhbIHnttde2Sq8YuUJ6axW4EOKiAlP5pYgkEWIeMzb7CALDQCAEeBjjkF4EgbVDYBbiOyqtwSI05Bcp1UrRCUofUjiq6EQhvhZAUXSVFEaKuuWPWTCKjQEhrtXcMlAW3J199tkbMWVlGyR4M8V33oM9NBX4wx/+cIufEsO1d3re573Z/roqsH7pj7lBvb/HPe7RElvjKBOYF7gmxOZHVODNUM7fg8BqIhACvJrjll4HgZVFYFriu1lawxVXXNH6dpEWih5lGPGtK6nVIKmyVogvhQ/xlQZQK77drN9azS37qtMhbI+A85eWbGCkS9+Lx7e2OvQ1aENVgXm065zkvs5/0n5rFfiUU05p3zIofcxC42+8wAqfnHvuuRte4JoQRwVexqjlmEGgfwRCgPvHOEcIAkHgmwot8sF6gDiOszqURWsIraIEVF5ElBpXN7YDJIa1YVzRCdsjh4iv7b325vEdRXwVuPCDsBbiW6uX3XQI21ARxbHZn9fj2iKJb41HVODRl1mtAl9yySVt2sOxxx7bzgu2iFoFNscOPvjgXQhxUYHNWZaJeIHzdRYEdgYCIcA7YxxzFkFgsAggDF3iyx+LKNbqa1m0hvhS3fhokUz+3LqVEsKsDlRdCiMFts7etX23/DHiKymhPuZmWb/2U6dDWPhmP7KDkeNzzjmntU/ow7KIb8EmKvD4S6CowOLzeLfF5xnHiy66aCoVmN0FWY4XeLBfM+lYEJgZgRDgmSHLB4JAEJgGgVmIL98l4otoiAwbldZQSgjXRSes7veavS6IgfjaRtSVIgaIjtX+XeJbFN8uqS3nhjSVdAgqcyG+9kPt9XP55Ze3+7UYbxFWh81w54t2/pTK+nw3+1xffx+SF9jD0umnn97mNX/yk59sbRBRgfsa+ew3CAwfgRDg4Y9RehgEVgqBWYiv19HIKtJWiG83rQHxLQUliueWzxfhpOiJLkOCu+WPC/GtwZsm67ebDlHHohXia58IJqXaIimLvSyiWnaDI5I3tFzgZXuB4XLVVVe11gYRZzAyrnzg5pAxr73Akj1YH3iBiy2iqMAsEx6okgix7Nme4weB7SEQArw9/PLpIBAEvonArMR3s7SGSZXUCujF22tRm4VwLA6IjZX9XeK7WdYvElSnQ9hPiUXrEl/2h6L4ikJD2i3GG0KLCvzfo4D4mmceoFR/M6YsKxIq+LeRYeOuXHIhtnKBx3mBa8tEvMBDmO3pQxDYOgIhwFvHLp8MAkFgzOK2cR5ftgQks3h3JSiwINStFJ2wXamkxmNrn3WjvlL1ZAMjvtQ8loe6TZP1W9IhkCQqbiFJjl3KMRfFtya+5Tgi2iQIRAUefTlQ7RHMRarA3gYU4kut5RH3r75o5hJP7ygVWMY0bzcV2HyoCXFU4HzlBYGdg0AI8M4Zy5xJEFgoAsghS4GfkuqAWHRzX8uiNYR2UlrDpEpqXeKL3PANS1/wWvuwww5rCU5pXTV3VNZvnQ5Rx6KNIr7Oa9S5leNFBZ489RblBUZQzQ0eXw9FhfiW3pmL5ir1fpQKrDqcz7E+sNYccsghbdGVmhBHBV7o10wOFgR6QyAEuDdos+MgsDMRqImvFIWiqI0ivogI4ms7vl0LkLppDQhJKSHcraRWIygSDblBeOvyx9RXr7WpedNk/SK+fMf6JhYNOUZ6tkJ8axUYCaYCd+PaljELhuYF7lsFRnyRbG8YPBQhvl0bTBmHes52VWDzBwlGepFg1eGowDUhjgq8jBmdYwaB+SMQAjx/TLPHILAjESjEl7rKekARRR7HEd+S1oD0Ir+jiO/HPvaxNnvXPhBY0Wfd/YmtQnyRkr333rvdjmJbmixgr7zFpZWs30Jq6ySEOh2CH9Q2VOPtEN96oKMCL14FZoNBfPm/PQQZ03HEd5QKbL5cffXVG15ghNhiuM1U4HrhXLzAO/LrLie1BgiEAK/BIOcUg8B2ECiFBEoBC/vy+phqe8973nMjbqukNSC+7Az8vSWtoT7+NNm7tuftRXx5bMWciUaria9tkFpRZLbl/y2ktia+yDEVmuKLHBWSNC/iGxV4utlFBUYwZfButzpceRtQiC/Ft+v/ntSrogKzQuiTuVUSIaZRgc0pvuZimTD3zTmLIYcQPzfdiGSrILDeCIQAr/f45+yDwFgERhHf4oNFhk877bTm7ne/e0tKS0yZzyC+CA5y0SW+1F6qLzUY6VDlrVZ8kdJCfP1bqsB1I8ZqNZeNASGyir/eblwsWilVXFdu28zjO+00YcegRB900EHTfqTX7YaWCOGBxvgfffTRuyn90wDhbQDFl/+bDQbxpebP2movsLnrjYZcYPMaIZajzErB+4vUFi9wbYugAheyXB6mzOvuvJ+1b9k+CASBxSAQArwYnHOUILAyCCAHZXFbIYlIateacP7557f2AZ5arRDfblpDN3sX8S2V1Aoo9kPpRZCQWX9ndej6aceRWmQcGWKh4NGkQpdYtJIO4bzKj+NS6uZFfMt5sGnAJV7g0dN9qypwTXzZYIy1B5/ttK4KbP7ar3LJHrA8UJmTUiAkQnjQqwmxuVhbJqICb2c08tkgsHgEQoAXj3mOGAQGiUBNfBGVQhC7r3RLWgOy6r/322+/VvEdRXzHVVKriS/SiLAivhRfxLdb/rhLartZvx/4wAdaMq4prkG9s43X4osgvvWARgWePL1nUYG9BaD4WvjooQhB7dpgtnoxjVOBPbCxN9QqsKi+Qw89dDdCHBV4q+jnc0Fg+QiEAC9/DNKDILBUBKYlvkhxvWjN4jbFBLweRjhLmyZ7F1lFahBfC5kot5ThLvH1N9t0SW0NGOJ82WWXtQvhShqE1+KLJr5RgaebxkUF9uDEIz6qUV4RXw9HHoqo+PMivvXxNlOBeXyR8M1U4EKWowJPNweyVRAYAgIhwEMYhfQhCCwBgUJ8EVZK7jjFtxBfai6Vt05roLz6HM/rpEpqteLLv4nUUnVL+WOZq3VDfEvWb01q6228FrcfRNriNkRFZS9Wjb6tDpsNV1TgranACC/iiwB7KEJ8+ywxPQ8VuLZMxAu82ZWRvweB4SAQAjycsUhPgsBCEJiW+E6T1kCZtdCKSidloa6kVlsnEAPbIqz8lYX4WmDUVXNHZf12iW83Fo1X+H3ve19bjrikARTf8qQCFn0BHi/wZGRrFZh9phBfDzWF+C4qT7mrAnuzccc73nHDCzxOBS62CPO5tkxEBe7rqsp+g8B8EQgBni+e2VsQGCwCVN56cds4xRchkNbgx02e4ttdtOYkS0EJq+hZF8RbsUJ0ia/FaIiv7ZEdi426xHezrF/HowraT4lF0y+Eu6i9F1544UYUWiG93YV7ixycqMCT0ab0equA6LKxLJr4lt7VKrCHOLnSEiG6XmDjKeVhlBe4qMDIsuaBL4kQi7zacqwgMDsCIcCzY5ZPBIGVQmBa4ttNa0Awrbjvksi6khqvbVn8dre73W0DFwRAVS6ElTWiEF+Eum6bZf1OikXrenwdjzIsYqt7nGUMWFTg0agX/zf/OOLLvkK57/q/Fzlm41RgFh/ecsTWQ9qZZ565kQhRE+KowIscrRwrCMwHgRDg+eCYvQSBwSGA+CKfbu6TPL6Ib0lr4MUtxLeb/lBn77IZ2E4lNcTgggsuaImnDFREVOEJxy7lj7uEtESejcv67cailTxgamGX+CLohYSfccYZ7TF5R5fdnAOSpM/JBf6GKsr/Tfnl8S7JIebLVnOB5zXGm6nA8q550Y2nOe5hz9ytCXFNlqMCz2tksp8g0B8CIcD9YZs9B4GlIFCIL2Jb/IgIYpfQ1mkNSBpCq7hAd7tx2bvl5BAbObzIMEUP4S7Ety5/XEgtVRhpHpX1axvKKSUXSapj0cYR3zqjWEqF0rZyW4dQkKCowAjeMhXOMlYeYk4//fTm8MMPb8v9LqIV/zfiay4hvuaah61pEiEW0UfHqFVg89kc5gVGbC3YlAtcVGDjKYe4JsRRgRc1UjlOEJgPAiHA88ExewkCS0dgWuKrehXFVzljxJdaSt3qEt/NsnedcCl/jHQ6vn0hDl3iu1nWb3ktjviWdAheYaRxFPFFbvW3a8+wbSEvQ1KBeZUPPPDApc8RHVhUdThjyv+N+CKH5oWou27ixyy5wH0CuB0VuBDimixHBe5ztLLvILB9BEKAt49h9hAElorALMSXNQHxlamKIHYXrTkRBBQpmZS9iyzYj/05PqWW+nrPe95zQ+nsZv1KfiiktlaPvRZ3vJIOYRskaRbiWw+AxXv8pVGBR0/LvlXg4v8uYypVAfHtLnwsvRuaClwWsG1HBS6WiSRCLPWrMQcPAhMRCAHOBAkCK4oA4lBSHSZZHSxaQ1SlNXhti/h6/d1VfKfJ3kV27cf+HLOUP6bInn322a2FwuvtzbJ+u7FodTrEOOLbrTQ3bth8XolafdOXZbfiBR6aCmxeKOAwr+Y8pSggvt4yFOI7zYLEIarAvMlXXHFFmy3tWjvllFOaQmzPO++81ndee4GjAs9rJmU/QWAxCIQALwbnHCUIzAUBJAMJRV4swkGqigd21KI1RBUpkdaA+PLpdrfj2+XLRVoLgUWU6+aYRfH1+0J8a1JqH1RghGdc1m95LT4qFg1xdZxS0th5IdbTEt9RKvAxxxyzpc/PZbCqnSjWURYK7jQvsHFDFlkd+MrNDT/TEN9VUIE9nKlaxzriWvne7/3e9l8LLgvprQmxa7Mmy1GB5301ZX9BYD4IhADPB8fsJQj0ikAhviXVAan1mt/NuEs0umkNiK+oqS7xrSupiTujlnbLzSKkH//4x1vF1+e9ymZlqElpIbXllbfFbQhD/cobCSh5wN1YtHkS3zIIUYE3n44I3XZUYBibh4ivBWRF8a3935v34r+3GKoKfPnll7e5wEUFtoDQgyLS6yHtsMMOaxfH1YQYtt6oWDinJRd4lpmQbYPAYhAIAV4MzjlKENgSAl3ii3SUhV9nnXXWRvEAO98sraF0YLPsXduV8sf8tI6H+CpU0CW+3axf+xaRpiiGVtRBii+7Rh2L1gfx7arAyBkv8FZU5C0N2IQP7RQVuCx8RFgR36L4bpX47iQVuBDiogIXshwVeN5XU/YXBLaPQAjw9jHMHoLA3BEYR3zdYIuSy4t71VVXNYccckhrPaCw8vZSfEs54Lpjm2Xv1sRXSgTSSBVGfOu0hUJqR2X9UosRI4vhCjlGputYtL6Jbzln6rWFTPECj5+es6jAZeGj8TWmHoqovtslvnXvdpoKXCwTUYHn/hWZHQaBbSMQArxtCLODIDA/BBDfsriNulYU35r4lqOVAhS2keaA+PL61m2a7F3bOxYSTfHlu0V8JTt0ia9X3ojvuKxf9gakky1DvxCkEotWE18k3s9WPb7TIo7II1VRgUcjNk0ihHHzYEPF91BRiG8fOctDS4SAmvOUncz6M84LfK973au99mpbRFcF9rDK/32HO9xhNzvStPM52wWBIDA/BEKA54dl9hQEtozALMS3XrTGs4vEWIwza/ZuIb5Irx+kFfHl4R1FfBEgBKUmteWE61g0Vgf94o1EHpZBfLsqMNLmZ9nNOJ9zzjktPkPKBR7lBS7+b+NuDM0NDzN9EN96XBzPfBxSdThvM8Z5gc8///yW0NZe4EKIy8I56RHve9/72oqArp++MVz2PM/xg8AqIBACvAqjlD7uWAQK8aWcIpebKb7IAS9pSWuQAsELjLRSlqbJ3gUmkopkUH0tVivlj7vEl82iKH+sBF0CVNIhKK0lFg2RvvLKKxskQNOnovgi6d3iFX0PblTgyQh3VeBCfCnnWiG+i/JRD1kFZgfib7/00kvbhW91IkQhvTUhFgeH+FKPXbflTYRrrrsote/rIPsPAkFgVwRCgDMjgsASEKiJLzuB/x8XZ+ZGi4yopjYqrQFJlVd6l7vcpSW1FsOVohPdqluIL0Lolba/FeJb34wnZf3Wyqp92JdWx6I5H6+MEQVEvcSZLZr41n2VC+xcowKPnuylOpzxYnHRWGpEgC2K+A5ZBYaBwjCXXXZZmwjhGkFsqb6uSaRXs+jNGxrzv1aBPWi6HmCaRIglfOHmkEFgBAIhwJkWQWCBCMxCfC1ao776l8KLwFF861YiyChSGsIyquoWhbkQXz5EN2Jkp0t8N8v6pc4V4tuNRautDiLaVJQ78sgjl0KgukMaFXj8JDem0jIQXwq9NwnLIr6ll0UFvuMd79haBpbZPNBpxQtcq8BSTyz4FHlWk96aEJt7rs9DDz20XVCaRIhljmaOHQT+G4EQ4MyGILAABKYlvrYrMWWU30J8b3KTm4wkvqWghJxfn+t6gRHfUv7YPhDfW93qVrsR31rNHZX1OykWrevxpfTaHiGgkFmgt+xGsaMCO39q9bJb8QIrOHLAAQcspTvGyBsD84PCWV7Le2gZQhuaF3iUCqzghWpwk1Rg5BfWrgtkWYsKPIQZlj6sOwIhwOs+A3L+vSLgRkdBKh5f/+9GWjyx5eAlrYHVwStUCQyI6Cji283eRegod7zAVF2qGe9hIb4WXCF+iGit+NZq7ris30KSEKVuLNoo4kslK1YHN/6iAg/B7wgPpGooiRAq71144YXtQ8siq8OZj4X4Gi9zg2XGnPHQ4jW+OL1lNw8tp556ajufV1EFVvmP5cgbnKOOOqo599xzN8hyVOBlz64cPwg0TQhwZkEQ6AGBWYgvby/i6zWqV6SIb5cQTcreLd0XUWalOjUKSaYusk2MIr48iZOyfgtJsl03Fg0x0Z+yuG2cx1eygEi0qMCjJ9iiVWBjasz9eGBCfLsZz7PkAvdw2ey2Sw8s+uuhZVoP+Ze/+rXmpIs+2Vzz2eubffe4cfOgQ/dpbnTDG2yru+a7h0EPgR5c4MQL7Pe1Coz0GtfaC6z8uIpwHgiLZaKowK6teeYob+sk8+EgsGYIhACv2YDndPtFYBbia1U44kslpcAhvt1Fa6Xc7KTsXWdkJb9tLIjzKtuCOCperbxOk/VbiO+oWDTE149mv9MsbnPTtyjviCOOGMSqdxj5obouY3FXd/YVFRjB6479vGaqMXXOxrR4fLsZz+VY0+QCz6tf0+xnVhUY+T3xdRc153zkcxu7P+r2t2xefsKh2ybB47zAFsZReWsvsP92HZ588sltGXJpERT2mixHBZ5mBmSbINAfAiHA/WGbPa8RArMQX6QH8UU2CvF1s6xbKTeLuIzL3i3El0pG8VX9zQ+iYwW6ODJtEqktx5wUi7YV4lv2W1TgIb1WXxcvsDEtxNf8sritm/E86hJdZRX4Ted/onnaO67Y7bSeefydm4ccfrttfSPNogLblvXIdek6R4hdmzVZ1hnfG1GBtzUs+XAQ2DICIcBbhi4fDALfuIFN6/EVo4T4IoVW2fPujiK+JYmhrqTWDc6nqhbi6xUrq4N/9efss89ubQ/2v1nWbx2LVvKAkSQK73aIbz03SsTWkBZXzfpavc+5Pm8VuCa+VGVWB4rvtD7sVVaBn//uDzWvOO0b0Xx1e/TR+zZPvN8dtz2MRQWmpPNLu1budKc77UJsvdFh/fGGQbETJcpdy4phFBVYIoTPRgXe9pBkB0FgywiEAG8ZunxwnRFANBENPxTaSYvb3ACRVTe/QnyLOlswHFVQwrZd4uvmal/2yeKA+HrFWjeJDgpRIDwl67eQ2rLdpFi0eRHfcqwhEioqMEV02YurigrooUUp3e0kQpTEDw89JfGjO+7TXrOrqgL3qQDDbjMVuBBbBNi1+oM/+IOtBcj/1yow339dKCYq8LQzM9sFgfkhEAI8PyyzpzVAoBBfNzVZtwgoMttdoONGWYgvYqKCGrI1jviW4gN1QYkaTgvkEF8qMnXXcb1SrVtNavXTdgcffPAuyh8STv2kMndj0eZNfOu+rSqhWtSU3o4KXBI/LFg0poi9hZDTKr6jznGIDy3TJEL06QEuOE1SgRFbRFdfvekppNfiuKICu04V0YgKvKirK8cJAqMRCAHOzAgCUyBQK75ugMiisHuZul6BllbSGpBV6jDS66e70ptqXKwO3YISXeLLNoEgORbiSynsEt9u1q9+8BsWL3A3Fs1+7M95+Zl1cdsUkO2ySSFUXgOzaiy7zbq4qu/+FuuKhxoLGKdpxtQ8o/grkIL4doubTLOfcdus6kPLV76ZAvHROaZA1BiNU4GNIWLLcuKaLfnX5rwH2EkqsH36jkgixHZmbD4bBGZDIAR4Nryy9ZohUIhvyfF1+rx9FF+RRkiwmC/ERQwZQjJp0dqkghI1tLKA3UQlRSA1CKtYs7oVUiv5AQEqpBahrgmVz9imjkUbRXydVzm3Pob5Ax/4QJuHjBAMoQ2l0ELBgrp/0UUXtZFfkxIhKIuF+BpTxLdb3GQe+A5RBR6KdWWSCkyJ57l2PSK9EiDYlGQ+e/Ay/6MCz2OGZh9BYHsIhABvD798eociQJGpF7fVxLc+5SuuuKJd6Y04urmxMLA7dL27dUEJfxN51s1gtV/V3xBfr1K9xnYTtZq8bghQiTwbl/WLvMgERtILSeIZXgbxLX1nG7FwSCRaVODdL5zNVGDjbm54c+AtAOLbzXie9+W4qirwvHHo7q9WgT2keriTC0zpPeecc1oV37WL9Lr2zfmiAhdC7Pr02eIFjgrc96hl/0FgVwRCgDMjgkCFwLTEF9mlqiKi1ByEREnULvGdVFCiBr6UP5YnauESgjyK+FL+KM2O5wbbzfpFfEs6hG30jTq433777WZ16FvxHTWxhqYCI5QUO7nA0xZa6POCGaUCG1P9NN+Mqcpo3XHvq09RgccjW6vAZ5xxRvumxu/YlVgZENuSCFGrwIUQFxX4kEMOaRXjkggxak1BX+Ob/QaBdUYgBHidRz/nvoGAm09JdSh+WISoS4pKWkO9aI39wKtrBLiUkJ0me5fiV4ivf0v5Y/urW01qWS1K5Fm9yGlcLBp1mheYAuXG6jPLIL5dFVgkWje9YhnTERnxWt0DAuV+2a1WgXnHPcwgvsad4rso4lvjMFQVeNnFTEapwH5n4akHvUJsaxUYITbfahUYYXYuWlTgZV+BOf46IRACvE6jnXPdDYGa+CJDhSB2V9AjvhYbSVDQKLSKWJRqYldddVWb0IAEIyxUxZKry8pQE2kkh9JL1eP1pfgitVbw120cqa23qWPR2AoswEEsS6li5+QG7Hf7779/rx7faafXJZdc0iplimMMoQ1NBRZj5vW4ZkwL8V0WVlGBxyNfq8AWwLm273vf+zasUYXYuo6RXuWQjWdNiKnAqsMhzVGBlzXDc9x1RSAEeF1HfpPz9qX9f//v/23e8IY3tD41hE9WKSLl31/5lV9pv8h9af/Wb/1W8+hHP3pjj7xuT3ziE5s3v/nNrf/tR3/0R5sXvehFuyzievWrX9387u/+bksoDzrooPbvIoNKQygf97jHtTcOx/TfjlOaG89v//ZvN6961atab528zZe+9KWtr3aaNi3x1f9CfJHY4t3tltHlz+T9Q5QRWYS2G0Xl5sjbS9VDfMtCmRvf+Ma7dBmppTBTb2tS2yW+iFs3Fs15lR/bI/KOSQW2uKpbeGMarOa9jfPzyjgq8K7IwsWYsriYX/y9orKG0IamAg+lpHVRgV1nvqtc/z/wAz/QEuGa2I5SgQshRpZdx1GBhzDT04d1QiAEeJ1Ge8pz9SV+7LHHtt7R3//932+LN1x66aVtSD9Vw6u95z73uc3DH/7wNvbnx37sx5qTTjqpJaHaj//4j7fE92Uve1mr9P3kT/5kq0z+xV/8Rfv3t73tbS1hfutb39omKPzRH/1R85znPKct3sBHh3w7lm2e9KQnNW6+xx9/fEuYTzzxxHYffm9B1V/+5V+2Xtmf//mfb3N33YQmtUJ8KS/Oc5ziW9IaEHRkBKEdtWitzt5FLhFhpKVEIOmLm6GHCMQXWbcfRHoU8S1FLsZl/fr8qFi0UcS3WB2c45lnntn2qY5sm3I69LLZxRdf3M6RqMBN6xP98Ic/3D7wGCOKr+sGRkjRpESIXgZnxE6HqgL7XrHwdJnNWHlo8dBurDz43vnOd25V4EJsuyowyxTLlYdA//oejQq8zFHMsdcRgRDgdRz1Tc75la98ZfO85z2v9bV2lc4nP/nJbQGIv/7rv97YyxOe8IT2Bo7YUhqRWhYABFqjfoj+cZNAcCkfP/MzP9M8/vGP39gH68AjHvGIVjl+yUte0vzZn/1Zc+655278HUn+8z//85YU8MuyDZx33nnNXe9613YbNxqWhLPOOmskqZqW+LqZ6bvX0Ba0Ib6U2q4XeFxBCdggMs4Rdh4YkFokR/8Q3y6hqYtcjMv6rWPRbOPGL91hEvGt+6xPfInHHHPMbsU4lnEJFBX4qKOO2q2gxzL6swwvsHF33XhwM6aIbylu4qHJXPb2Y9pc4L5xiwq8O8Ieon1XuMZd397YsPh8//d/f7txrQLXpLd4gaMC9z1rs/8gMB6BEODMjt0QQJIQVKoqi8H//t//QrvB2QAAIABJREFUe5dtLMShaGrsEIgrtQNZtLgDgVQJSSt2CIQW8XvQgx7UvPGNb2zVEqvZNXYIJBrJQ4StdPe6/lnPelb7d9s+8pGPbF+bI76U5pNPPrm98WjFDvH85z+/VXR/6Id+aMMO4QZVL24bp/hOs2jNsboFJRDROorK8WDiXO2TclaIb9d+4HzdOJHkcVm/YtFs080Dnpb4loFDqMpKdV7gITQPM/DywDSEhoyyu/SdCGHcHctDm3E3h7pV/cpDXVTg8TPD3PHGZxkqcCG+rBi+UyxYdJ27xl1nHmg8uMyqAnug94YoiRBD+EZIH3Y6AiHAO32EZzw/ShhLAeL74he/uCVzhaQ+7GEPaxWpv/mbv2nuc5/7tASUHQJ5ffrTn97+nv3BIpB3vetd7eeKHQKJe+hDH9qS37IIikJa7BAnnHBCezPjF+Y9pvj+0i/90oYdAiH/vd/7vdaT/HM/93OtLcPNRSt2iLLQCwG3EI1Nww1lktUBOXYekxatOUY3e9dNt7siH8mk5lGBEWXkhuWgS3zHkdp6qOpYtDoPuEt8S1LFNAUsKPCsLB4uuiWZZ5wmc9l8iCqwBzdjZn7Nuxl3xNcDjzE1h7pV/epjFhWYquiV+hDauqvAJc8b8XXtGUPEFwn2N9chz70HF7nAfs/eUIhtVOAhzOL0IQh8A4EQ4MyEXRDwqtwrf6/m+HK9Nn/BC17Q3rjf/e53tws8eG+9ui52iD/4gz9o1VzJBshVSSao7RB8wn4oXY961KNaoljbISwce+ELX9jaJRBGZPk1r3nNhh0CEXdzueCCC5qnPOUprcJMXa7tEPqBlFos5xzEibn56Fs31QHx5e+l+FFrRy1aAwwF182uZO+64SEk9f4QFbgh+TzByBPSjejAsWQD66ttJhW5KOkQ5bz0y3mMIr6F9E6bXztEFRghcG5DUoEVmpDhOi2um32FdIkvq0O3qt+4fbhOPDAOZQHjunqBa+LruivEt54j3VzgaVRgRNl3Ru0Fjgq82RWVvweB+SAQAjwfHHfMXryWpU5RWpFQSjCVFgmjGlp0Rt11Q+br/cVf/MU2vUGSgy/yBz/4wc173vOeVgH94z/+4+av/uqvWrKKMFvAZoEYUvj2t7+99clRbVkc/uEf/qFdJKd0KEsB0or0UpAPPPDA5jd/8zfbPlgoxyP8h3/4h61lghVCH6i4Ftt5vW+xnNxbfUD6/umf/mmjqES9aM0iNDcyRLxLkLvZuyVerN4OcUN8SzEMObJehcIJAeZhpvAh44hvKXJRSG2ZNCUWzTbIUh2LNg/iW09OyrgHEzYXYf3Lbh5iLNAzJyapoYvqJxLjTcQ8VGAPMR4c2VeMKeLbLW6y2XlFBd4Moaa9/lw7vpO6axY2//TkLYo1yjE8yI4ivmUPdS7wJBW4Jr0Wx/l+LF5g32++U5yLllzg7Y5gPh8ExiMQApzZsQsCbriIIWLJz4sAS2Pwe8osckdplRKBpP7CL/xC6+tFbsWe+W9qqZXZyChSaB9I4Mtf/vKWQPuxn+OOO675u7/7u9ajS7WlxtqvfZWcWASJ4qsvlBGKIaLrVT6FBbF2Eyn9pS6zIFCtkVDqLoJOzZZo4TNIuhuZ/+4S32myd92UnKObon4W4lsTSng5Hzc0rUSe1Vm/o2LRLJKzzbyJb022KfgImeIPQ2jGFBb830No5o8Hha2qwB50EF8kyLiba7MS3xqHqMCTZ0UfXmDXtTdEflzXxnBUCky3Z7UKXJJXihfYOCK2Hq6LKOCN1SgVmKDAWhEv8BC+EdKHnYpACPBOHdltnBfvGpL4q7/6q633FUFFShHgf/zHf2z3zAPMz8un6wZBgfU35FT8GfuCxXMWpPHuIqH3u9/92s9Se+9///s3V199dRv47/UiNZkq+frXv75dPHL++ee3xJcf+E//9E/bfrzpTW9qlR6qMI+wRW+ygClrCDDrwU//9E+3sWluVpRdRBnh86rSdoi2c+sS37qghJvSqIVJbkal/LE+U3uR3y7xrbN+qdZUZwS+bDcpFq0v4ltPB+cAdzfjqMC7XyhFBea7RUKmaUXFR3wRYPPPHOpW9ZtmX91thqgCs0Z5w+JNyxDavFRgY29fvs9cG74zRqXAjDvnWVRg+JUH+JoQj1KBqc9D8O0PYazThyAwLwRCgOeF5A7aj0xfSioyiriKPLPQjVIhg9YiNwqvm8QP//APtwTT4jWv75/xjGe0Su1P/dRPtX5ev/PKn/VBjJnFZm6a7AsizxBcRJdVgh1C2gPV1+9Fsf36r/96S7aphCwZLBKihRALffOv4/+v//W/2huEbGHxaPzJvJzIsJsaMow0/8iP/MguI1VHkLFejFqY5KZmX26M1CbnjvgWb68dFjUXPnXWr4cGBTJ4PkuO8qhYtFHE1/4R9Xl5UcuJO5aV6m7sJYlj2dPXXNFWTQUu4474muuF+Har+m0X36jAkxHcrgpc1gRQfF2ziK+3JFu59jwcmxcINBXYA7Vrvya2o1TgQohLLnCtAjt7/dpKf7Y79/L5ILBTEQgB3qkju83z+pM/+ZPW6kAtlPSAjPLsUrcQRYTSTdkXsi96pAoxlu0rPk2Bg3e+853t70tVK5YDhBTxogC/4x3vaP2RSB6CiBTzp7JMWOzGj+xfzTEsoHvIQx7SVqFzc6A2s10guPqhX24+FGe+YOSO9YGFw75th7CzYiBcCDPLw7jsXTdVxNdN0XkgvlTmLvF1DojvuKxfxAgpZ8dwc6tj0RZJfOsp4bykaAxFBTY+cm8p5dMuENvmFJ/48c1U4KLiI776bkxHlbOeVx+jAm+O5FZUYNdjUXxdnx6AfT913xBtfvT/3qJWgX1fenj33ek7yqLcQmwJCrUKzHtuMRzCbF2E715vxTT7jAo8yyhk2yCwOQIhwJtjlC2+iYCbMBvDe9/73pbIUmDd+JE7aolFTGwB1A5EGLkqublIqBQJhJVNgYdWogSrw0/8xE+06q6UiN/4jd9oF9n98i//ckss/L+bkZuBm5P/phhbmMdm4WZCcUWm/e4Vr3jFhnKM4P3ar/1aq3baN/XZvqlzbAqIsgzjLuEqxNeNUSvEt15gAwspD4jvuKxf2yDxZRt9d4Mbl+rgBjfvRTzjJq8bKuWcYjkkFRhGQyn/O8oLXI97Ib7mZbeqXx9fGlGB56cCI77exPhOQHyL4rsd4lv3bloVuCa90j5Yvdgi9M+bLguAixc4KnAfV1X2uc4IhACv8+hPce6iyRBZvlx5u2wRLAlsEqwMVIzXve51reWBvQAR9TtWCAt/2B4QXK/v+HSRS2QYeWazQAYpqDJ7H/vYx7YEkL3APtyUHvCABzQq0/H7WthmhTTllh+Y55iP+C1veUt70+BdtsDOzUexDMkR4rUszCuvqpFwzefZJuqmbxaulXB7C9LcfLrEF6l180R8KcIIcp31W2LR7McNzfn4oQTBRMKAbTSq0CKJb32+ZZFeVODRF0KtAntQ8MBD8fXAZdwR30WWKY4KvPkX1mYqMD9+Ib4ehH3HSL2ZF/EtPdyKClxsEb5Xvc0qKrDrU/+iAm8+/tkiCMyCQAjwLGit4ba8uCwDFFPNwjjk1o0fEfbal8+N2urVHcXCgg5f4OwHilZYCIes+hL3e6oLby9Fy+eQC0pIOQbrBILBRoEYU3VZIEpGMKvF3/7t37YL5+z/cY97XPPABz6w+fu///uWYCOU9qX6nL4jzUgrkm5hnvQJVghkWaO2sATwNCOkiK8+dYmv/rp5UrUL8a0XpkyKRfM3VgjnACM4LIv41jdpKjCSjwgMobG8GIOhqMBIiLnhAYddxrib84skvvW4RAWePEvHeYEXRXzr3tUqMHuP/PCuF9gDsu/LQnqpwIiwWDQPYCwTPmPe+Q7R4gUewjdV+rATEAgB3gmjuIBzQJAQgfrGz/OKmPpyRmrdZNggEGN2BF5eKQ1ygRFOr5SR4Gc+85ntwjALnl760pe2pZApyvJ9NV/+fMS2U32OUom8skkgIVRUmcGqw1GoS/QZT7D9UspYMByL6sw+YREfsiqbWF9tQyGm5qlgZz9uNN2oIzedQnydX531WxPJUggDmWYD8VO80W7KRfGFgXOgWM9bddrKNIAFFZ3KVHubt7KveXxmKF7guqqf8fLAwm7Treo3j3OeZR/6VeK1vEkYQhtaIgTPPtuROY1Eemj1HeJtk++xUbnffeBYq8AyoT38jvIC16Q3KnAfI5F9BoHRCIQAZ2ZMhQCiRNGoG3KqWIWbMtWOYsvji7yKOpMRjCRTMVgSKK628+oRobAQjkKLwCKuCDYCJH6KgouQ8VZSd1kgjj/++FYp9lnxZvqD2PIgOw5CoICHG0+ptsUC4bi8xEizlAiqMWXPAhWvP/mNH/OYx+xCboqa6+bZJbU18eVltk03Fs3na+JbrA72JclCv5zHspt+6g9i75X+EBoVmPpu8eWiW7GvsDpQ5zzIwIhNRy7wEB5aogJPnhWuO6oqwuutC4+/74NRud99z69xKnBtb/BGaZQK7CHZ56MC9z1K2f+6IhACvK4jP4fzpvQipQ9/+MPbxWWIpUVeL3rRi9p/qcESGxS7QHD5iNkMZPFagOaGRNXl7UViLfqQK+xv1Fk3LgTV63CvnXmQ/StmzWt7VgnJEH5P2aX88CEj35Rl+7KdldSqwUmykDLx7Gc/u7VrUGWoyV5PWvmtlSIXo0htTXy7ecCIEsJeE19kyU/X6oC8I+wwGgKhGpoKjLR4sOIT304BiVmmOOLrYYZyiJAYT1YYbw2oiAhKeUMwy3772DYq8HhUPbQUj69r6+CDD+7F4zvtuI5TgT3g1cS2qMBIb9cW4Q0NcSBe4GlRz3ZBYDoEQoCnwylbjUCgEGBJC5oCGJRUr/6RBv5haRE8r8961rPaSmyi1XzBIxkUPn5iRBUx9vqPaoMYU9w02ZksEXKCJVD4QSAtSKL08P8iKVSx1772ta0CLdmB4opkSqdgx6DeUYhLMQuL4JBkRIuFQ9axBXsU6JJz3M36dbxCfO2nFMKYlvgWCJ3/EFVg5+MBYwhNOghc+1aBywMP4sviYkGjn27RASSEzWUoKrC+sB54uBtCgQTXLj85Xz6v66Kba8oYIooevM1j3xOUX+O5zNZVgeWd+06cpAIb22KVKiowAcF3UrzAyxzNHHsnIRACvJNGc8nnQklEopBaKqtiFPy1bAo/+7M/21ZwQ2gUwCiRaRbV8f/y6r797W9vFWOvn1VroxyzLFCZ3dwQVftXgQ5R5fllw2Bl4Cd++tOf3qrB7BOSIxzDzcNiOIoyFRgppqQgzAi6RXhu3NQi2zq+PtV+2DoWjfpW0iFGEd9iddgssN6DAdJg8csQVGAPIPzJCNWiotgmTde+VeBCfM01D2tF8R1XGY91hf0mKvD4UUPaPEQgwYtqriHfDR5MvQ1CeL3dcU3VXuA+5vSXv/q15qSLPtlc89nrm333uHHzoEP3aW50wxvsdurTqsA16Y0KvKgZlOOsMwIhwOs8+ts4d0Tyd37nd1r/LvJAzUAe/Z7NQMoDywFFl+qLXPod4sf76obEdrDffvu1Pl82CKQXabZPKi4Fxw3O/ihwfMBeFbJKWFgn3gw5lWNrkRxf7QknnNASFQqLftm3RS8UYwQYYaYiI8Sq13kNyZNsO8UzqNGllVg0N1KtzgPuWh2mJb5l30Ux45t2w152cz5wc45DUoERUq+x59XKGwCkCfEtiu80JaHNcWkirBlDeGhZZxWYOmoM2VYoqogv5bkel5IIYT57aJ1nQ35PfN1FzTkf+dzGbo+6/S2bl59w6EgS7PvP3KPWs1xNqwL7PvUGLCrwPEcv+woC30AgBDgzYUsIUMSouogotc4Nhl8XQbXozAK3P/3TP91IYyjeYCS1WB0ovCwMsju92qO8Uos16q6bGuJKwUWkKcH8xSwSPnviiSc2L37xi9vCGiwVvMFi04499th2H/qDWPudhVX+n09ZuWWZwRIgLLjj76RCI90Uayq1Sniqkrlh1XnA2yW+NdgeBig9VOAhtL4Vs1nPkUebd5ztwPhvpxk3r8eRplLOuiR1TLvfogJ7uCqe8Wk/28d2Q/UC96kCF+JL8UV4i+I7Dt++5vSbzv9E87R3XLHbYZ95/J2bhxx+u91+X1RgD8q+L30f+Q7qeoGpwIX0FhWYou47jwggzcJbmuQC93FFZZ/rhkAI8LqNeA/ni9BSYxFKKQy1gihzV8U3imtpl19+eUtW3cx4dlkmWBHqhnwiuHJ7kR9Em/JWGv+uVAfkVeqEGwLCXZo+WUBFtaOUIcX654bjZsQvzHLhlTZ/soZ8I8AsFOLeeILZJcpnSqqDY82q+I6C3fmzXyDAy/BNdvvk/HiTEf55K2ZbnXYWR3oI2aoKbKyRBgujnJ/zKgsWt9KnqMCTUetrTiOFRfH1xqQovpuNYV8q8PPf/aHmFad9481Q3R599L7NE+93x5HdqlVgaw9YNjxM1YvcSiJEIb01IXYu3lh5aI8XeLORz9+DwOYIhABvjlG22AQBqioPKULZzUlFLpFX5ZNLk9igepvfUWjEb/GfFuJsARy/L6LsdywL8jOf9rSnbeyj+In9Dpnl/3UjKa9Aaz+xmwoFRfEMqotWfJ/8xFIm9OkP//APWw8jPzFyzaoxT8V3FIzL8E1OGs6+FLOtXkRbVYGLfQXxNYbmUXdR41b6NFQV2Pzef//9t3JKc//MPOc04sun7SHW9Yj4sg/M0vqY07MqwPpbq8DWMFjo6XvNWgLEtixyq0mv7y6Wr0KIfU9aaxEVeJYZkG2DwGgEQoAzM7aFgC9oi82Q2aOPPnq3fXlV6YtdUQtKrXLAvL7KJxerArsD1fU1r3lNq/bZjnrr/zXEVdSaBXFeh1OZi5+Yv9erQscQqfbUpz61JeO1n9g+bC8ejeLMCkGRZtfgN6b8urmKZxOjRvXlTVaBTn/mpfiOArooZiwis97YtzVwYz48rpJWH8eadp9UYA9W3hps1vQfQUB8tUJ857kIap4q8LQLqSad99C8wPNQgb2tQXwtVkXuPSRv9froQwWe1QNcxq+owDzn7D2+OxVYqe0NHsJr0ssqBQ9e4KICS7QpGdX2nepwm30z5O9BYHcEQoAzK7aFALI5LmZIEoQCFBZXKTbhixwhodZatFYaTxwvMB+uGwMiawGdxWmlsTfIB3azp4bwAvMTl2bBnMIbXi2KPqv9xLah3IlrQ7ypvw94wAPafVhg50aLYJeFUPaFbPmdbSg0m6U6bAdERFyfLIgbQuPJRiCL/WPZfZLyce655070AiMG5qK+awiTtwjzJL4FB3OJ9cYcMde22rZKorrHK17gnaACd4kvxZdVYLutDxX4K99MgfjoJikQdd+nVYFr0ltUYN8PHvijAm93NuTzQeAbCIQAZyYEgREISLTgB7744os3iHFfQHnNe8YZZ7Tlkedxs99uP4eoAiPAfNldFZiiVhRfDymIr+InfRDfGlf51Kw6vOpbTYTYymv0cWPrwRBp8tAyhFzgWVVglgAPov/6qX9rLvvPmzdfvtHNm/32ucXYaLFZ5/iQ/O2zqMCF9BpbGJlvUYFnHf1sHwRGIxACnJkRBEYg4GZDraY6S4fouyHabmy1qt33MSftnwJMNUOo+lS/pz1HFhmeSRYYbwaQiKL4IrvGiuK7qL7OQwXeykKqcXhRgT1EUQhXyQvs7Q/iK+1lz1vduvnDC77SnP+xL26c5qRosWnnTtmuDxV41j7YfpIKzPpQFrnVpHeUCmz+8xAnEWIro5DPBIEowJkDQWAsAhbwvepVr2oji+rCGH1ANkQV2Gt+Gcu8hkNoVGBeR6kgrA7GpCi+iyK+81SB56kA65dMXPadVVCBa+LLRmIc//6qL8wULTbrnFwFFbi2NxQvcFTgWUc62weB6RCIAjwdTtlqDRGQQEBZfM5zntMW2Oi7WSBIHRqSCkxlsrhxGQSzxptHWlSeRZWsELyht73tbZfaLwSFv32rXuB5eYALTqugArumKL7sI4ivcbTgVZunIj7uWh26CmwdQh11VqvA5pu/FUIMR+cTFbjvb+bsf6ciEAK8U0c25zUXBKRKKOzh9XvfvlILgM4888x2tbfV4ctubAYInkQMEWLLaKwGbvKIOHLgdS+f9DSJEIvoL1LOnrFVL/BWFlJNOq+hqsBe66uiBytFRCi+hfiW85m3Ij4Kp6GqwN5uwMO8nqQCU/ip57UXmOXFQmQPz1oSIRZx5ecYOwGBEOCdMIo5h94QkECgeIKKctIp+m4XXnhhewhZxENoig9YZLZoFRjxZXNAfN3QKYUUQ+PBkqI/ylcvuxUVWKEO8XrLbkNTgRFeKSfGk2KP+I6r6jdvRXzcWJhT1NNlp5zUXmAPv+L+qLlFBS5RZzXpLSqwt0TmW60CG3sPZGxLQ3iAXva1kOMHgc0QCAHeDKH8fe0RkA+scIeItb5VYIvvzjrrrFbh+Y7v+I6lY79oFbgmvsXqgPiWpAU3eWoZEqWK1hAa0oGYU+63mggxz/NYtgpsjOCBnLE8iGej/k5T8XDeivgkFZhqWletnOcYTLuvOhGiqwKXRW6uCdaHQnoRYriqjFkSIajA5W2JhaK+O5ZtW5oWg2wXBJaFQAjwspDPcVcGAX5FKvBLXvKSRgW6vhuF081LhbohNERGOeE+VWDKluQJarOUB4ovhWsUoTQeUYHHz4xlqcCOS/E1X7ymL4qv8Zxndbh5XBNDVoFVeRNlh/TWKnAhvWVxnLdErhFvafwgwH4nCcQC0SHE4c1jrLKPINAXAiHAfSGb/e4oBJ785Ce3Fel4dPtWVpAHajOFp+uTXAaoVCqJEG7Gosbm2cQ7sTpMQ3zLcREtVbRgExV49GgsUgU2Hh5KEF9vMOQwszrUFpVZc4HnOcdWVQWu7Q3IrYi0QnprFdgCUZU4qb7U33iB+5492f9OQSAEeKeMZM6jVwS8wvW69OUvf3lbZrnvRuFktzjkkEP6PtRU+7cwRwKDG+w8HgAQX4ovZZmdgeJLuZrWQiA3ll86XuDRw1dUYAqhRYx9NMcwDtRHxNfDkWtknDc7KvDoURjlBa5V4LLIrSa9tQrsgdm1RPXlIXZ92mdU4D5mffa5kxAIAd5Jo5lz6RUBpZTf9a53NaeffvpcSOCkzg5NBaYySYSwmp/Ct9V2/fXXbxBfihXiyyM6LfHtqsD2ccABB2y1O3P93OWXX956M4fiBfbAotT3vHOBC/GlUFq8hfhSfHm2J7WhqcBIojk9NC+wxXAeCiVCTFKBja0HELiyS/l/C+DYtaICz/XSzs52KAIhwDt0YHNa80dAuVkK16tf/erm+OOPn/8BOnsUvWZFuISBIbTtqMCIL6XwE5/4RLtCHfHda6+9Zia+NQ5FBUbwNiNfi8CPqn3aaae1qj01e9lt3iqw/XkTgpQhXUXxnQX7IarA5jXFte8FrpPmQ60CK4pjQdwoFRjJtcCQPcp84xPeY4892ocu1xclOCrwsq+8HH9VEAgBXpWRSj8HgcATnvCE9qZDOZpVtZz1BKiJvK5sB+Oio2bd53a234oK/KUvfam9MVMj5fcivnvuuedcsEPIeKXt9y53uct2Tm1unx2qCoxMeZjaSoPztdde2xJf4ykTmso4C/Etx40KPH4E6kQIKrDFgx5+x6nAvh/451lOWIGQaN9NUYG3MsvzmXVEIAR4HUc957xlBCiYSNzrX//65v73v/+W9zPtB90I5eAOpfDD1Vdf3VDCkfJJDwCIDjWqEF83ZUrVvB8aKJIq6A1JBfZw5JX0UFRglh1RcrN6gUcRX29AzMfttKjAo9GbRQUu1gdvG+Bpvhlj15wHzqjA25mh+ey6IBACvC4jnfOcGwKPf/zj2zQIasu8CV23k153eh06JBVYIgTfrZirbkN8i+KL8BbFd27gd3Y0VBWYh/uoo47qfX5Mg2vxAk+rAsPUQw7lkXXlu7/7u1vrz7xitaICz64Cu6aovYgt64NECBaiI488svX+ip8rCRD+xpNtzOIFnuYKyTbrikAI8LqOfM57ywiI7KJovvGNb2yOO+64Le9n2g8iwF5zHnTQQdN+pNftqMBeifMhlgcAvkU3afFbLA6ILwK8iEYFvvjii9vXwFt5LT/vPiIoq6gCI77Gzzg6B8SX1WFexLfGOSrw9CqwtxtUd8SWiu+hRHnwYn0ohTKiAs/7Ss7+djoCIcA7fYRzfr0g8NjHPraxSO0973lP7yofdcexKDx8gctubrgIngxe3mSEiWJIkUJ8b3nLWy60i4ib6nkIt5SKITSqnGiwIanA/MnIVNcLTCUsiq94LakIfvogvmVsogJvrgLD38Nv8QLXBS+QXSWmC+k1trKYowIP4epPH1YFgRDgVRmp9HNQCFBgqDFKJN/3vvfttW+l/K8b4VBU4A9+8IMtaVKKVYwZ4msx2rIaRRohKGrZsvpRjltUYIUL4LPsZg51vcCIb1F8PdQUxXeri+VmPceowLOpwMbFA7cHTKXSa+tDUYF5gvfZZ5+xXmD76Nu2Nes8yPZBYFkIhAAvC/kcd+UROPHEExvh9LKB+76pDKX8L1WTN5TtQPMQwG+47DZUFVhOLp9m3/NjGvx5gSmFVMJSwEKyR1F8F0V8h6wCi7ErnudpMO1rm5IIQQW2EJa1x3+zX4lr4wW2jXUIhfQaW+NaEiHiBe5rdLLfnYJACPBOGcmcx8IR8EpSeeC3ve1tzb3vfe9ej7/s8r8WdSG+brCqiyG91EPEnBo1BII3NBWYVxOhGooKjDDpT1kYxd+L7C2a+NYXylBVYG8SVFJbVqsTIdhFxP1phx9+eJv6UKLOautDKZcsOo0KbNGcjGPfTXV1uKjAyxrVHHdoCIQAD21E0p+VQuBRj3pUe5N55zvf2Xu/l6ECyxpFfB1bzBLiq/qaxi/KCyzxuHUNAAAgAElEQVSizd+W3TwkSOfgRfZgMoTmNfWyVWBkSnyfBzaKL5yowONKFi8StyF6gYemAlN8Tz755Ha8JHnUBS+6KvAVV1zRvp2pVWBpEK7bJEIscmbnWKuAQAjwKoxS+jhYBJBfC6/+7u/+rvWf9tmKCryI8r9d4svje7Ob3Wy303PDtUhvKCowXzKFrFTR6nM8ptl3UYEPO+ywlpgvsvFnI76yYf03xVf1NsVVKIRUxCG0qMCjR6GowL5jvN2g8JrX7BCsD65J5La2PoxTgVkmEGn7pGxHBR7CzE8flo1ACPCyRyDHX3kEHvnIR7bevLe//e29n0vfhR/kDlN8kVokiXI0iviWEy0qsNeurBHLbkNUgfnExcQtyguM7H784x9viS88itWhlPpFij24jEqEWMb4RQUejbqqe65F3u273/3urfKL/PL81gUvqMD8vsX6EBV4GbM4x1xFBEKAV3HU0udBIeCGIxLsH//xH1sltM/WR+EH+yzEl/JbiO+05Zedv8/f4x73GIQXeF1V4EJ8ESWNOqhscSG+ZV5SASVCKGQSFXj01eqBVt71MrzA3fLhHmBkaxcvsD6xQ9SL3GrSy+ZCIWZNMsYSa5xLVOA+v5mz71VEIAR4FUctfR4cAieccEL7mvKkk07qvW/zKvyA+FJ6qUwWublZUnxnzRoW+cU3SZkaSvnfM844o+3L/vvv3/t4THMAKjACc8QRR8z9IQHxRdiogpoxZHXoEt+6n1GBJ4+ahwRz2gPEolJOShVFi0tFnZUqinUihDxwRTFmUYFd58gyIh0v8DRXa7ZZFwRCgNdlpHOevSJgsZOM3ve+973tq+4+23Yjv3zeojbEV6zZ7W53u1YtnJX41ufIh0g9HooKjEQgndSyPgs6TDvOfXiBESPE12p/KRzGcDPiGxV42hFrWmwXoQLX5cNHVVGsEyGow4q+bEUFvuqqq9pEiHiBp58D2XJnIxACvLPHN2e3QAQe9rCHtUrqm9/85t6PupXIL8S35L8ivsgS0jSPNIAhlv9dZRX4y1/9WnPSRZ9srvns9c2+e9y4edCh+zQ3uuEN2nmF+F5zzTUt8RVvRdXzEDNJ8R01IaMCL1cFnqV8eFcF9lCnClztBfYmoLY+sEX4nkCWiwos85mynESI3r+ic4AVQCAEeAUGKV1cDQSsZvdq8tRTT22s+u+zzbLYy7ZsExRfN12vdRFfC2rm2YZW/neoKrAsV0rfuIb8nvi6i5pzPvK5jU2Ouv0tm5c89KDmk5/4eEt8kd1CfJHgrbR4gTdHrQ8V2DXoWpylfPh2VGBvpjwg8QJHBd58zLPF+iAQArw+Y50zXQACD3nIQ9p83De+8Y29H22zxV418fWatSi+8ya+5USHWP6XCiydQsW6ITQlpL3GnuQFftP5n2ie9o4rduvuw/dvmnt/17dum/jWO44KvDgVWB60BYqzEN+6d+NU4LrgRVcFvvLKK9vjRQUewtWfPgwNgRDgoY1I+rPSCFx44YVttSYLaLyi7LMVFfhWt7rVLou9/N6rTyoTslUUX4tn+m5DKPxQn6MIKX2Sn7rMimelT8ZDAsMkFfj57/5Q84rTPrrbUD3skD2a337gIa3tYV6tqMAUQq/Gh9CGlgu8XRUY8XUtuiZdq3C+xS1uMTPUm6nApeBFbX0oiRBFBWadQYrjBZ4Z/nxgByIQArwDBzWntFwEHvzgB7cdeP3rX997R+rX/AgetcfN1qIrZW6t/F4E8S0n2sdir+2A6GEA4VSpbkgqMJyowKPaG865pnnmO6/e7U/PPP7OzUMOv9124Bj52ajAkyHdaiJETXwlkiC+N7/5zbc1frUKfMEFF7RFLZTaLiqwqDP95QUupDcq8LYgz4d3MAIhwDt4cHNqy0FAVBFyoyyvLM4+WyF4EhyQKjaEQnyXlX7QZ+TXVrCkAkupGErhh3EqsCpefJof/pePNn9y6Q2aKz/39Y3T5QF++QmHbiyE2woO4z4TFXhzNGdRgS0w9RDKdz8v4lt6WKvArnffMXUiRFGBa9IbFXjz8c0W64lACPB6jnvOumcEfuRHfqRVXl/zmtf0diQ3QwqwhS3IkxXeFkYti/gOVQWGEy/w0Mr/eljxoGTsKHheT/NnG8O9br1387aLP9V8dEQKRB8TSuU4pGkoDwmlOpxIQZm4y27TqMASYBBfSSt85xRfZcvn3baiAvuO8CBYyrXLBfagrBBKEiHmPULZ36ogEAK8KiOVfq4UAmeffXZbFe6cc85pDjjggLn23Q3LzcyCGuqOGxkijOAN6TX/Zou95grKJjsb2mt+2PCJs2ZQCkXRIUz+X6bvoltU4M0RH6cCL4r4dlVg88RDFBX46KOPblRuZH0YpwIjvSpW8nvHC7z5eGeLnY9ACPDOH+Oc4ZIQ+KEf+qHW8/fKV75yLj1AUhA52Z+IL8XXD+/vEAneZou95gLKlDsZUuSXlBBjyO4gzoxXk2K4DOJbw1dUYAsGeUuX3YauAiv8QvFVVMaDiweYm93sZguBbZwKXJc97nqBuyqwuEYLZKMCL2TIcpABIhACPMBBSZd2BgJeu3vleN555zV3utOdtnxShfhSfMUcFeJbk5QhEbxyoiK/Ji322jIgW/zgsh8SqHWsDpREah0lzop9Nog99thji2c1v48NUQW+5JJLWovI3e9+9/md6Db2ZOxYRTzYfvazn23furCsLIr4TqMC12WPa9JbItK8kRKJ6FzMPwvnfJcYf/96oF72w9g2higfDQJTIxACPDVU2TAIzI7Acccd10YfveIVr5j5w25YRfH13xId2B3GqXPLJnjdEyyLvZCXdSZ4iC/Fl8KK+FIKLY5CMoYW+RUVePxlivB+6EMfaokvwqvojfFcVqtVYPGL3iZIhKgLXiC1tfVhGhXYGoJZqwouC4McNwhsB4EQ4O2gl88GgU0QeP/7399mbrpBedU4TUN2ERGkScoD4utV5WavpYeo4K0zwUN8qfbG0mIoxNfDUK2uDfU1P4VwKLnAy1SBVeV7/ekfai79yLXNzZrrmwcecpvmO256k9ZD6+3OZtfkNNf7VrcpiRDmkzctZ5111oYXGOktZY83U4ElpPiOigq81ZHI51YVgRDgVR259HtlELjvfe/bEtiXvvSlE/uM+HotifhqFrP43CxqTBS8ydNiEQ8JyAjiS5H3qhyR3Guvvca+Vl4mwRuFljmENC2b4JW+LeMhoS0m8+nPNI9946XN5dd9dQMmcXR/+lMHN2efeUZ7bbI/LLN1VWBFUpRhr1Vg52JxXLE+XH311e3cLIkQvMAeeCygLYkQUYGXOao59qIQCAFeFNI5ztoicPLJJzfHHntsc/HFF7ekttsQX4oSfyg1xzZuSLMQ37LPaeKaFj0QQyN4s2S6zoJVl/hS/Pfcc89N/ZTLIHiTzmvUHKKEnnTRJ5trFhTL1u3fouYQsnjddde1i9veeeW/N2/40O5V9xQk+d69v9Ygkst+SNiOCnyXu9ylJfGuh6jAs1zp2XanIBACvFNGMucxWATcVL1iRIhe/OIXb/STelOIL+WGmmRh1FaIb33yfRG8rQK8CgRvq+fmc7zOFF/RdErcUnynIb71MRE8yR5KJA+h1XPoa99yg+bE113UnPORz+2ihPZVmGPU+fc9hwrx5fFVyMJ1+I5rbti86qxP7NadRx+9b/OEH/ieNsZuyCpwHXU2SgWm9Ev80Fi1nHNU4CFcfenDohAIAV4U0jnOWiPw7ne/u7n//e/fIDoW0EiGsNoa2S2KLxI8j1YUPAvmRinO8zjGrPugfiP8QyR4W/VxImWIrwxmxRoQX4v9trKC/otf/GJbrGOIhR/O/ey3NU97xxW7DXlfpZnHza0+VGDEUIwZxbcQXw+icpnfdP4nJp73UOxGtQpccoHvda97td8zdcGLUV7gogI7l8suuyxe4Fm/2LL9SiMQArzSw5fOrwoCbrQKY/CECq4XSP/a1762VV3mRXxrLKg/1CwKz3YV5XlgXAjeUUcd1aqky27bsYoU4kvxpfQiTP7dbhuqCnzeV76z+bMzPjZSCX3i/aZb2LldbHx+niqw61HFNsT3C1/4Qms58rCI+JbG9jFJ+S5zaAgLBsd5gUepwIX0snB0VeDb3va2zf777x8v8DwmbPYxeARCgAc/ROngqiMgNukFL3hB89znPrc9lSc84QnNk570pLZUcl/NzdlrTSvBh6QC8ztbpDOEVh4SpvVxIvFF8UV4i+I7r3MZ6kPCB66/RfPHZ35m6QqwDmxXBe4SXxYG14cS1KPaV77pfR5XknoVVOC64EVNel2LFOI73/nOrZUjKvC8ruTsZ1UQCAFelZFKP1cOAZ7OZzzjGc0LX/jCNjD/t37rt1oPsFzc5z3veb2fj5XgCBuCFxV4d7infUhATCmFn/rUp9o0B8SX5aGPNkSryOVXXtW85qO3aM796Oc3TlkawiI9wOXAW1WBEV8lp42jfRTFdxzxnXZsF5EqMm1fahX4oosuaq04HjYnqcDeEvF7117gqMDTIp7tVh2BEOBVH8H0f7AIuOk+6lGPahMgHvrQh7Y5m3/7t3/b/PiP/3ijSpobTZ+NwkMFpnDJEh5Cc2NGGoamAo+ying1jjBde+21bX4v4tu3fWOoKvA+t/vO5qLPf3szTgld5NyaRQXuEl9Kp2thu8S3Pt+iAnvQ5OtfVpvkBR6nApdyySpVWjMgHu3SSy9tq8M5l1SHW9Zo5riLQCAEeBEo5xhB4JsIuCFb6HSPe9yjec5zntM7LqLV5AoPRQVGKnmgnT8/9LLbKBV4GcS3xoEKPCSryCqmirQ5vtde2z7ASOkoVoc+bEdDVoHNKwtP67LHficXuHiBaxWYaowsRwVe9jdTjr8IBEKAF4FyjhEEKgTe9ra3tYowFZg1os9WVGALtfiBh9CowAiKsq1DaMUqorStBwavypUqpvgug6QPVQUeQuRXmS/jFgyaV6wqrD+IL1WT4tsH8V1lFbgmvaNUYN9NohuLCsxCpTjGVhJOhnCNpw9BYBQCIcCZF0FgwQi4SbMAuME8+9nP7v3oFGAkjwrcR+LErCcgbkrZVqkYSgQvu1mkeP7557eve/fee++W+C67X1GBJ8+Krhe4EF+KryiwQnyRtkW0VVGBS8ELRJYKXKwPCDGvMOuDv7FO3eY2t2n/nupwi5hBOcYyEAgBXgbqOebaI/CWt7yl+Zmf+ZlWBUa6+mxUYK81FeJADIbQLrzwwvZGe+ihhy6tO5///OfbqDg5sAivSm4IwBAWDBaryNBi44aULV28wKIEKb7LIL6rogLf8573bOd4XfY4KvDSvnpy4IEgEAI8kIFIN9YLAaoK8veDP/iDze/8zu/0fvJUYArP0UcfvfYq8Oc+97nWG4r4UrkovvJfqV5Ds4oMccHgtLFxfU5quHirobiDtxpsDiw+i1J8R53bUFVgbxMo5MULPE4Fdk3ANCpwnzM3+x4SAiHAQxqN9GWtEPirv/qrNiXCqmspA302EUkInlKnvJxDaBdccEGrtvLeLqKxOrjJX3fdda33GtlVLau0LBicPApDqDCoDyrvUXy//OUvt95epPeII45YxBTa9BhDTIT4r//6r7bKYFGB67LHtfWheIEVwvAwodDLBz7wgXiBNx31bLCqCIQAr+rIpd8rj4AbzsEHH9w84AEPaJ7+9Kf3fj5Ig9XgQ1GBWRDOPvvs9sZcE9F5A4HwIr4IsNXtiO9Nb3rT3Q6TBYObI7+sCoOuFYTMHJavjaD5QYJPP/30QZWQ1h+2DG8WltnqXGAqMAxlkNcFL7pe4K4KfNppp7ULQhXLiBd4maOZY/eBQAhwH6hmn0FgSgT+8i//snnMYx7TqsDzKKc76bBuiDyAFrYoBDCEZvGZfOR5q8Be+SK8FC5EuxDfm9zkJhNPmwrsx0PCkLzAQ46N63MejSO+dd7u0EpIr4oKXKLOatIbFbjP2Zx9Dw2BEOChjUj6s1YIUB0PPPDAtjjGb//2b/d+7m52wu7vda97DcILPG8VGPEtiu8sxLcAX1Rg6t1QFgwOLTZuESowImaeUnw9uPH4Go9RhSa2Wh2ur4uteIERTAtPl9lmUYGL9QHmHgKLF7hWgSnu5boawgPiMrHNsVcfgRDg1R/DnMEUCCB+gt9/7/d+r/m1X/u19hNev//Kr/xKI5GglCp+9KMfvbE3K/Gf+MQnNm9+85vbm/CP/uiPNi960Yt2ich69atf3fzu7/5uu3jkoIMOav/ulX5pFuk87nGPa/23yuf6byWR6/ba1762+aVf+qVWBe6rxG45ntfH+uKVpte0Q2hUYMSGHWSrDfG1qM04i1lzbqwOFrfN2oYWG1cSIYYSGzdtCelZcbe9fVNQjYGHkUJ8vSWY1IamAiPvV1xxRRs9OJTqcKO8wONU4FNOOaVdL8BmwnMNXw/NJZ7Pf6uml1zgrczyfGYoCIQAD2Uk0o9eEfipn/qp5k1velPz+7//+y0BpmJ57f7c5z63efjDH95mYv7Yj/1Yc9JJJ7XJDBpVFvF92cte1voOf/Inf7IlVX/xF3/R/l1BC4T5rW99a5vr+0d/9Edtdbcrr7yy9c1Rpg444IB2myc96Ult5Nnxxx/fEuYTTzxx43wdw3YPe9jDmt/8zd/sFQc7ZwvgpxyKCiyV4Zxzzmn7M8qbOwkQxPfTn/50qxQivqwdSj9vhfiW4yQ2bvMp6PrxsDGvCoNbJb6lp1GBx49ZrQIjsub3OC9wrQJ7CKECS9nw0Ow7EOmVJmHhoZ+owJtfK9liuAiEAA93bNKzOSHwzne+s3nmM5/ZKjEPfOADWwL85Cc/uSWCf/3Xf71xlCc84QntTR2xveyyy1pSa9FYSWigFLtxUEQQXL5MWb6Pf/zjN/ahutkjHvGIVjl+yUte0vzZn/1Zc+655278HUn+8z//81ZJqdurXvWq5ld/9Vfb4/ZdfWyIKvB5553Xrui/613vOtWoF+JrvCikpdStG/Q8WmLjJqM4LxUYGSuKr316eDGWmym+o3oXFXj0mMEVCabWFhXY2wTfM4jtJBWYhUNUoBQJnz3mmGMaPnr7THW4eXzTZB/LRCAEeJno59i9I2AhlIikv/mbv2ltBhRYBBiR/cVf/MXm537u5zb68I53vKP52Z/92VZR/OM//uNGTJlFY3VDhpFVygi7AotD7fOzb+QJsaYg8/c+61nP2tiFWCGv+qmVdbUxpJQt4ZGPfGTzf/7P/+kdl6uvvrotGUt1HcJrTOPkQWEzFRjxVaoY8aX6FcV3XsS3AD/E2LghFA+pJ+Z2VOCa+BrTYnXYjqIYFXh6Fdj89r3IqsF6VZReb8JqFdibFQow0sv/6/uPlSyJEL1/RecAC0AgBHgBIOcQy0HAjZXi6zUtxfc+97nPBgFGXpFivyuNgsQW8aUvfam1Ing1j+zWDXFmaeDz9d9uCvVNG3F+3ete15b6pQZTlZHq0qiVlBc3HbaHur3iFa9o++lvfZfiRbiRe32gAA2hIcCI7CgV2Fhee+21LfE1PkXxpRr31YYWGze0EtJIrAVSyKufaZrPeKviIVEriu92iG993KjAo0ehVoFLdBwV+Ba3uEX7PVBU4HoBnO8qyq+IQt93Hjy9uVLCnf0hKvA0Mz7bDBmBEOAhj076ti0EVFjzBU7ZpXLWBNgrVnmdSs2WhlxRc6mRlFxf8n/yJ3+ySx8oJbzC1JPjjjuuJWN1Y2944Qtf2C6ss4jEojve4dLKTUMRCAS5bm5M1Bf+YBaKvhv12k3NzW0IKrD0BgviqMAlrqxLfCUBIFt9Et+C+ywq8Je/+rXmpIs+2Vzz2eubffe4cfOgQ/dpbnTDG8x9CM0bitwyS0jXJ2XxJ9K0mRcY8aUYSxfQeOmp9/MivqVPUYHHT7muF7hWga1PQGzNLQvgjI0HFQ+kvpeKQuw7c6+99ooKPPcrOztcBgIhwMtAPcfsHYE3vOENbayYpIeSr1sTYATrXe96V3vjLo3yKsmB141y64ufKls3hBlBRUBkxVJS64YwWyRHGWN/eMpTntL89E//9MYmCLOFXhbKIbvd9tKXvrR56lOf2i6Ym3VB2KygOj8eQP2UgjGERgW2gE2fWDQ8lFx//fVtBBa1cNGlbqdRgZHfE193UXPORz63AeFRt79l8/ITDp07CS6xcUNJhNhMBUayiuKLXBnDPohvPXejAo++kiepwL4HeH1lhPse9GBjnLwhQojFAho76x+iAg/hmzJ9mAcCIcDzQDH7GBwCvrD522pv6Be/+MV2IRzi+Z//+Z/NM57xjEY6RGl///d/35JbShXllh/uH/7hH3Y5N0QRwXVjcINwjNpC8Bu/8Rvtoh7RZhTiH/iBH9gl2eHyyy9vX/FTqkapmMg35Zg/WURb321oKrAoMyowEoygF8V30cS34D5N8ZA3nf+J5mnvuGK3oXrm8XduHnL4/KPmFl1CerM5OEoFhltRfBHfovj6776b69ybnyOPPLL3WMFpzmWoucAeFLoqsPUJcqe9EUKGkV52FQ+CUYGnGe1ss0oIhACv0milr1MjQHXy5V43MWP3u9/9msc+9rHN0572tNbD9spXvnJjE1FlXsP7HV+cEsUIbinT64bBLsCLSkFml6DWWrhWGl/wL//yL7e/s/jtPe95T/Pe97534+88wm95y1t2+V33pF784he3n7VgbrPKZVMDMmZDJNO5IuUUoGU1Y0FdcqOlkvNAl7ilZfWpHHez4iHPf/eHmlec9tHduvnoo/dtnni/+RdCmHfxkO3iW6vAHgoL8WVvQHxlMi+C+NbnERV49KiOUoGl2VgTcfLJJ7dvvzyAG7sSg2ZPVGBjiRB7M4Mkxwu83Ssnn182AiHAyx6BHH9hCNQWCF/gyKxFbg960INaonrCCSdsWAJ4T71mphbz9FJsC4EWqaaxOzz72c9us4OtjBZxhjwjrtRdWbt+b/uf//mfb28aD37wg9tFcscee+zY86ZOU7DFoimc0Xdjx6C8Ot9Fe4EL8UUy2UkE73vgQGBYTLaT5zsv3Eps3LgS0otWgJ3X0FRgDy5+zB/++mUR3zLmUYHHz/7aC+y7ykOwBxfWBuPnrRUC7A2Yh3ye+1EqMGuZN2FJhJjXN032s2gEQoAXjXiOtzQEagKsE1IgWBbcuH2RK4pRE1NWhsc85jEtOZbcIDINma0X7vh/RNgKfYqI/3bzL423jiLM00s9efrTn76L7WIcGC94wQvaoh0+N++Ir+4xqT766fXn3nvvvZDxcdP0gAD7QnyRXxYVDx8KYyDCvMBDaJOKhyzSA1ywGIoKbOxYIPwgVt4ieJuwaMV31ByJCjz6yqlVYONnvYLmWrNIsXiBa9Lr76NUYLYID/tJhBjCt1T6MCsCIcCzIpbtg8ACEGADoAL/+q//evMLv/ALvR9R2VbpF16H9qkCu1GylSC+CFPJf+2Wi5XFLEljaCrwuBLSX/lmCsRHe06BqCcCrzS1VXTfoltNfI2dhz7jiTRtlgixqL4OUQXmTbaOoM4OXxQe9XGKCuxatA7Aw6Zx81BKFfYwX1TgsgDO2HpTU9IinMsee+zRigceWv2kOtwyRjPH3CoCIcBbRS6fCwI9I/C85z2vef7zn79hqejzcGwXlCBkSpW7ebdZS90WFZgXuJuXPO++Tbu/oZaQZuUpPvVpz2Wr2yG+VEI+X2QH8UXoKL68wN4k+B01fwgtKvDoUWDpMp+tZ/BQZ3Fu8QL7HvAd4PeTVGCf9ZAaFXgIMz192AoCIcBbQS2fCQILQMBNCpkQ56b4Rt/NTdCrdVFv81KBkaKi+M5a6raowJSpvm0g02A7xBLSVGAKLPtKn41PtFgdvPKmCnpV3rU6TJsL3Gdf631HBd4VaW+WvH2h9LJ1GUfV3YoXWHJGVwWurQ8efhDnqMCLmsE5Tp8IhAD3iW72HQS2icAf/MEfNC960YvaBSp9R4FRgSl4Mo63qwLPo9QtFViOs2pVFhMOobn5S6ugug7B56paIb/0ZiWkt4od4lsUXw8hRfEd94AUFXhzpD0Qshx5sOtafzb/9Na28DCN+Jq7Eh8QX/+yQhjL4gWeVgW2nsFciAq8tfHIp4aBQAjwMMYhvQgCIxGgYLnZWGxXl1TuC67LLrusUQKVErQVFXjepW5L+VVe4CGpwAj5UEpI96ECd4lvUXynmRNRgSdfnd6ELMoLXIgvVVdqg3Hk2y2tToSw4NaCWNc+osw+UrzAo1Rg1gc+YeeCTFtEFy9wX9/M2W8fCIQA94Fq9hkE5oiAohwve9nL2hi1vhUjVdd4AJVp9mp02tZXqVs31LPOOqu9wQ5FBb766qvbLFSq6zSEcFoMt7rdPFVgBKgovjKoqXysDrOcZ1TgzUeybxUY8bVgDZEdRXxLD0clQrBAIcldL3BZAOezCHFU4M3HOVsMG4EQ4GGPT3oXBNqINTcbRPgRj3hE74gohUp5nkYF7pa6LfmvdVTcdjvsNSs1yivjUdXztrv/WT/vdbHiIRbnDUUFPu+881psRJBtpSG+FjwpIIP4UgpF4s1CfOvjItFJhBg/EkUF9nCh8MS8muu2WB322muvDavDpP13VWBWKCS4qMCUXmkjNeml8nsQLCrwmWee2VqVogLPaySzn0UgEAK8CJRzjCCwTQRUhlO0QwEEN6M+W1GBDzvssMZNdFSrS90iuwi6MP0+fLFFBaZKWZk+hObmj5jzAm+VJM7zPETYnXvuuTN7gZEdZBXxvelNb9oSJv7v7Z5TVODNR5ctwcLTeXiBEV8KrTcT0xLf0sPNVGBvgrx9qRfAmR8IsRhDD72sSqw4LBPJBd587LPFMBAIAR7GOKQXQWAiAl5zI5mKdTz84Q/vHS1+QCvGjzjiiF3IEOJb0gAWWep2aCowj6wFgxQvMWBDaLOowIgvhVaxl3kS364KjDTxb8/zjcBWsR5qIkO1ZpgAACAASURBVMR2VOAu8ZUvTImdtU1SgS3ARWxHqcAyhItPOCrwrKhn+2UjEAK87BHI8YPAlAg89alPbd7whjc0iE7fhAL5Pf3005vDDz+89RCOKnzg9X8fiu8oOKjAbrDULSWJh9Dc/Clfq6QCI75ekSO+MpZLDNZ2Fd9R4zFEFRiZQ/bM6yG0rarAFqpSfD0YUmiN41aI7ygVGD78vyxQ3rr4HnDd1Sow64Nrnwos89nxiwrsbxaspjrcEGZY+jAJgRDgzI8gsCIIXHfdda0KrEzyQx/60N57TQW2mMbNj+pbKn4tkvjWJ+n1rrzSY445pvdIuGnAXSUVmK2lKL418f3K177enHTRJ5treqpgRwGOCjx+NnmwQzCnVYHnTXzrnhUV2HVuHUDtBZ5FBZYvfNBBByURYpovkWyzVARCgJcKfw4eBGZD4ClPeUrz1re+tc3H7VMFpvjyufKG8vT9//bOBOyqaf/j68qUKVFKlFmmBlOh/99FZSplihRJKhXRIEVUSsaUcGkiKaHJVBIJ995wRWROpnIpiQZXUXL/z2fd/zp3v6dz3rPPsM/Z5+zvep6e677vOXuv9VnrvOe7vvu3fj8O6riKX+n1OHevdi4wjtdBBx2UuwtncaUwusA8ISBDBYfZEL44vmQdcIUP2NDg+G7c/IfpNGmRWbB0TYxAg313NWPb1jPbVNgqCyr/fatc4NQYcYFJP8jGLlmWFw7C4vjishKjjePKfOayeWOBnQtMCBRPgLwusPcAnFzgXM6ArpVvAhLA+Sau+4lAFgR+/PFHe/DkwQcfNOedd14WV0r8Vm/+V4QvxTcQS3wRhqFxMh13ioNDiQqDIOqCdDTjGcCLjBBkX8DFC0PjMBxCin9O+BIbipDxhjpMXfidGThz8RZdHty8tjn/qBo5G4pc4PJRlucC50P4envndYER5YRCURyDpy+kYSTel3XlPQBHWezPPvssFgtM2kKeMsgFztlHSBcKiIAEcEBgdVkRCIpA3759zaxZs2xMbK5icJNV/HKxwMQDkou30A2xQOJ9XLB4Fzgfjmai8fPlz8bkuOOOyzp7QrZ8mS8yC9AfHEKc+3jh6+4x/OUvzLj5y7a4ZcdGtUyvxgdk25XY+50LjGtZs2bNnF03mwuFMRbY6wIjfKk6SDlw0tHBDlEZdEvlArOWSP+HC+wOwDkXmLllo0WfeQqhWOCgZ0vXz5aABHC2BPV+EcgzAQ6+kHpo3LhxpmXLllnd3Vv4oGLFivaLNr7wATl4CYkI08EhxEK8C5wvRzMeOAzJCFFIFzi+1C3zhWAqLy9wPnkRf4xoYs5ytWnLZuGHLSOEc4HZZLIZzbfwTeUCkxeYvzu4wAhbnr54D8AlcoF32mknu/5UHS6blar3BklAAjhIurq2CAREoHfv3uall16ysXmZCIp0Ch84scCXYDYnzXOFwrnAOGPeIgL5cjQTjWPx4sWGQ4r5doG9pW45sc8GBpeOvpCX1cUCJ+pzPh1zucDlr/61a9fa0B4+azzdYF0jIAvRynOBefrCOvPrAhPXzMZaGSEKMZO6ZyoCEsCpCOn3IhBCAsTC4gJPmDDBNG/e3HcPMy18wCNjRAzFMcLQEh0cyqejmcwFrlOnjn1kHXRLVeqWTQKxwByEIxYzWdv0/zHTywLKAuG9r1zgLWeB/N4cbiNkhScvCGGyrOSyOlwma9EbC0xIDeuNDTCH8N577z25wJlA1XtCR0ACOHRTog6JgD8CPXr0MK+99pp9/J4qj2u2hQ/C6ALjfpOZgrhDWj4dzWQuMBXZODSUaj78zfCWr/IWPsDpZezJYrOdC0whCly4Qjc2UBwYpM9RjwVG+BLjyxyxhtnM4vi6jV2yQ575msNMXWDmd++997ZzjKhnEyYXOF+zpvukS0ACOF1ier0IhIQAJ/x55D158mRz+umnJ+xVsvyvmQg04v/4YgyLC8z4CT3wlpLNp6OZTxc4k1K3zgWm0hsV68LQou4Cs0HC8XXCl88v8+NasvCeQsxdvAvMGmRzl8gFdgfgSJvIZ5I4YSrHka6R8SkWuBAzqHumIiABnIqQfi8CISZw1VVXGdIOvfrqq2Vcx/Lyv2Y6HJLwk3mCL8Fc5yDNpE+IcVxgHhk7FziT6+TyPTwuxt3LlQucbeEDXLh3333XliOWC5x4pvOREcIrfFmvOL5e4evtWRhdYBfDffTRR9vCOMQC8+SBjZX3ABznEXCB99prLxvGIRc4l39ddK1cE5AAzjVRXU8E8kgAxwXxN2XKFNO0aVN7UpsT5OXlf82me8T/0erXr5/NZXL23kQucM4uXs6FkuUbJtSEMrJ169a1h5kybdkKX6+jyGPosLnAiCZEeSYHODNlmux9QYb34PTi+LIpcqEOyYSvd84QmPGHPHM9bj/Xy9QFZiNIzmDnAhOLTny8MkL4oa7X5IuABHC+SOs+IhAQgS5duhjKFpOhgZjgJ554wgqwZPlfs+kG+UlxnMl2kI+8pKn66lzgGjVq2HCQfLRUscZ8+XOYiUND6YaaBFH4QC5w6lWRSxcYkeccX4Svc3wRgX6bXGC/pPQ6EcicgARw5uz0ThEoOAGKMFx//fW2PDKPIwcMGGCaNWuWtvBKZyA8Use5q1evXjpvC+y13377ra1ExWEbHKegW6psE7jAHEyEj18XOL7wAY/IcxVmgiBbsGCBPWQVpljgUnOB4ewcX5fNgXlMR/gWmwvM3wKcXvICew/A8WTKucBUjmPTLBc46L9Mun66BCSA0yWm14tACAjw5XLLLbeYxx9/3Jx88slm++23t67Tiy++GKj4Zeh8uXO45fjjjy9YrlLvFOACE3bA6XMER9DNT75hCnUgalO5wLDkEXnQhQ+8LnCFbbfLa7noRPPBo3U2CcSJMm9haJm6wPHCl6cRrMNsY65Tlf3OFzNvRoj4WGDOBPDkiY2V9wBchQoV7PzCwhsLzIFVhLDyAudr9nSf8ghIAGt9iEAREujatasVTji+xFJ+9dVXtjTwzJkz7QnsoBvOD19yhFqEofHl+/nnn9uMEEG7wKkcYHg4F5hY6SpVqmyBKD7/K4IpyJAS5wJvv+NO5u63fzMLlq6J9anBvruasW3rmW0qbJXXqWTNMm/FGgsMUzYWfA7Z7ORK+Ma7wInKfud1oowx3lhgsjwwXsKg2LhRcIW/Odttt10ZF5gnM2wEcYhxgdk0sylQLHC+Z0/3S0ZAAlhrQwSKkAClbvlS8bbLLrvMCuHnn38+8BFF2QVOFQPs4PPlz2G2Y489NubKxwtf4pbzVfELsfLAnEXmiS+2FLqDm9c25x9VI/B1471BsbrA8cKXjAf77rtv1o5vIvhhdoEpjc7mLt4FdqEPzgUmBprNOeEhhOLIBc7rx0w3K4eABLCWhwiUCAEc0Nq1a5sXXnjBumpBN5wfRDiOThgaMaUUF8iHC+wn3zCp6AjNIG8yMdPe/K+u8EE+uSHcrps038z6atMWt+3YqJbp1fg/BUXy2YrJBYYfmwjmkY1NkMLXzYHLC1xsLrBLg5bIBSZciydHLiMEf0OCfmqTzzWtexUPAQng4pkr9VQEUhJo166d4UvnueeeS/nabF+Am4mjc8IJJyTNaZrtPdJ5P3GFxB3WqlXLOnJhaISKEJtN7GSq/K/56O/4v35m7nr12y1uVQgHmE4UgwscL3yJWWZ9IeTy0cLoAvNZ49Cb1wXm0CZlt70H4BK5wIRCcGBVscD5WD26R3kEJIC1PkSghAgQn8eBlJdeesnG6AXd3nnnHRv7R6WnMDTnAvMFy5dvoZrLBoD4pTEnuGKFbr/9vtm0fvDvZvHqP2JdKVQMsOtAWF1gQlc2btxoHd9ffvkl5vjmS/g6PsXoAnsPwDkXmDhhskWwaeZvhlzgQv810P0lgLUGRKDECLRt29aWK3366acDHxkCj0ILYXGBcVoJO9hnn33sv3y2ZGmwKP+LgDrmmGMCz9DhZ7zLV6w0Y1/+wFSssrfZr+rO5swj9jCzPlxpvlm9wdSqXNG0rFc9rwfiwuYCuwODFMjgv3F8WUv5Fr7euSwlF5i/GaRFI1SJ+Hc+s2xWEcfp5s32s971GhFIRkACWGtDBEqMwMcff2wdWcojI7qCbghgTnfz+DMMbdmyZfYwIF+w+XCBU+V/dbHAPC6mOEmhG/3lMTTpq/Y/6GDTadKigmeFCIMLDBc2jsSRs2Hh/5PFw28u5yDnNawuMPm3ORDL0yYyYvBEyGWEwAV2B+Co2EixHpczON4FJqQCAaxY4CBXka4dT0ACWGtCBEqQwIUXXmhTFU2fPj3w0fG4nwNxuMCZJP3PdQddrlIOmhEPnOsWK4P80waz27abzcHbrjbr//VzuWmw+PJfv369zQgRhobQI+/t9zsdaG6Z8+UWXcp3THAhXWDEJSXECXVgjlyML+FE9IuNSxhamF1gDnqyUcDZxdVlA+49AIewRRBXq1bNHHzwwTYuXi5wGFZVtPsgARzt+dfoS5TABx98YCuRcVCFL6cgGwICFxjxGxYXeOnSpYbQg1y7wP9JgfaeWbB0bQzp4VW3MQ9dcqTZZacdk2JGWL3++utWTIXFBUaAzFy2lZnx6S9b9LsQWSHy7QLHC9+aNWvaUAfiU2mEQLzxxhu2mAlueaFbmF1gDsRSGCddFxjXl79TjE0ucKFXWPTuLwEcvTnXiCNC4Pzzzze//fabefLJJwMfsbfSWLYVsHLR2SBcYL6kyaIw7LXvMnJMcYEJh8hHWIofhrjAD774fujyApMzNsgDg8zj999/bx1fCpY44YsYi2+ZVofzwz+T18gFzoSa3iMCiQlIAGtliEAGBGbMmGFLEfOYdNdddzVt2rQxt956a6w4BcUorr/+evt7ih3ccccd5qyzzordiS+y7t2725y9fPGSvuzOO+8sU9zirrvuMvfdd5+NS2zYsKEZNWqUOeSQQ2LXII7zmmuuMe+9956pXr266d+/v+nYsWPs9/wcx5FDYbgsQTZ3cIjHn2Q8CEPDBeYfOZGziQV2saEIpsc/Wm9e+vZPGTmmzgU++uijTeXKlQuOiHHNf+NNM3LRH+ajHzbG+lPIrBAw5tF5ENXhGC+fO5zmVMLXwZALnHyZeqvDEQsc7wKTiYWDg+XFAvPkiDzAcoEL/ucgkh2QAI7ktGvQ2RIYM2aMTePDP0TuBRdcYFq3bm2GDBliD4KccsopZtKkSaZJkyZmypQp5oorrrBxsohDHvUhaBFCt99+u/1SbtGihWnVqpUZOnSo7RrC99577zVPPfWUfSzbr18/M3v2bEOVJQQz6b6497Bhw6z4fu2118y5555rnnnmGdO0adPY8M4++2x7svqxxx7Ldsgp30+RAEQ34iVMLjAbEFy+dJtX+Lo0WAvXVswqZvbDDz+0rjxzH4ZG7Ot7iz4wP1Y6yCz/eVNBskB4OSCqCNshTjRXLnAmwtfbJ1xgnigEHUrkdz2E1QVG6LpDg95YYO8BOMQur9tjjz1s0R5EM5XklBHC7+zrdbkkIAGcS5q6VmQJjBgxwgpdYgY5gIbgQpy6hhDlQBaiFiHboUMHQ7YCV86YlGWUMkZEIlj58h87dqxp3ry5vQSlj/kZLjBCt2/fvva0+rRp02L36NGjh32s++yzz8Z+hhjn4BVfMkHn6nUu8M4772wOPfTQUKwF4oDhzBcs1dj8tGSHoogN9VsGOdl9ENLEAhMGERYXGLFCXxAkYWisYUQThyr9zlmifrPRdKEObDr4/PEvUahDeeOWC5ycTjIXmIOxuLu4wGyG2dTwlIqNzfLlyw0bQZcRgtdxSA7xrFjgMHwCo9MHCeDozLVGGiCBwYMH21P1CNLdd9/diuHGjRvH7nj//febRx55xH4p9O7d2546nzhxYuz3lFalkhKH1/gSIHSBn3lzjxLTSwUqhDUOYrdu3czll18eu8bMmTNN+/btrYj2NkQ013n00UcDJPCfSxOusWjRIis4C5k31Q0U544v3wMOOCClC1ye8PWC81MGuTzQYXSBWXfMmTsAFvhCKecG2brACF8X6kAhCxfj6zabmYwtbC4wwp51hMBMV9BnMv5k74E188Wm3VVidC4wIVo77rij3XjHu8CEZZE1wusC8+SIzTPXUXnkXM6SrpWMgASw1oYIZEGAR3jz5s0zffr0sSnHEKi4acQZesvxUpqY+Fy+uHCD+ZIYNGhQmTsjnAmbwK3CzcW99DaEM2VGOdRG3DGu8UknnRR7CSKGsAhiTb0hCHwRkaeT3JtBO7PeHLPeeOUsEGf91lTZBbyHojikFp8NIOsOxF3AucA488xjoRvjLwUX2AlfHGSemDjHNxvh6+ZGLnDyVep1gZcsWWJTnJERIt4F9qZBi3eBeVKFC8zGn3h9FcQo9F+FaNxfAjga86xRBkCAP9g4jBz8Ipa3a9eu1ulAQCF0iXNzDZFM6AKCmbjgU0891Vx33XVleuVCJPiy5UAdBS28bcCAAdZlRvhybx6lk6LJNb74cTr5AooXVmeccYZ1mMePHx8AibKXdDlmcXTC4AInyzGbbWxoNiDZrCDSwpJjlicSYXKBYYNg8hMLjPBFULHRybXw9c6xXODEK97rAvOZ4okLh9r4+8fmm/SIderUKdcFZtPPRiUMZwey+VzrvcVFQAK4uOZLvQ0ZAYpNIBw4pEaS9wceeMD+L4fUSKjvGlkhOnXqZE+4n3nmmTa+8cYbbywzGr4wOKyGgL3hhhvM559/Xub3CGbez2v4UnnxxRftY2vXEMzk4eXLJP6xKLHJvBanBVERZAujo+h1gRk7G5R0sgHkmpdzFMPkAhMnzlOIoNeHX5apYoHjhS+HRdl85sLxTdTHMLrAYZmzeBcY95e/ceW5wISp8I94+GyytPhdT3qdCMQTkADWmhCBHBAg3RYhD4Qt8Ogfx5fHgK5xeA3hijvSuXNn+4hv9OjRsd8TtoCTzCNExBkuMTHA3i8GskyQI5VME4iUm2++2Vx00UWxa5BSDZGN+E7UyA5B3N24ceNyMOLyLxE2R5Ev6L/+9a92c4ILn82hqFzBC5sL7OJKwxIL7Fxg4kRr1KgRw47w5UkLGxiewLhQh3yU0ZULnHj1J3OB+bwRXuNcYBf6QOgWP8vmkGOuPoe6TnQJSABHd+418hwSIDYX9wkhTDaHE0880QwcODB2h/POO8/G5/IzDr8R/4vD62LdiBEmp69Lzl+lShUza9Yse1Kahhjg+sT/8jMOv/Gl4w1pIEYYxyVZmAPimy8eUpURKhFkwwUOizvlYkPJVQpHNir8C8op9MtVjmJqUmQ6QTThJtK8wtc5vvkQvq6nmrPkc5bKBWZjxaE4NsdsaOT6pl7/ekWwBCSAg+Wrq5cgAb4EKYJBKjNEKa4t4hVHA9HKP3LzksOXL+4nnnjCxvtSCQwHloNWuMSkSyOuF8eWg3GkNuOaNF4/Z84ce7CO0AiKauAY4mLSyLSAw0xmiZYtW1rHuW3btjZusrxCFCeffLLtM4500K3QJ9XjH5GTRo6NCuy9jmLQHMq7ftgqjRV6zuJZsWFh48ZngNAgHN9CCF9vv+QCJ17R5bnAhF7xd4ewMB1wK+RfHN3bS0ACWOtBBNIkQGol0o0hOteuXWu/kBG81157rRXBNMIbOMiGoCBlGWnQvIn0idft0qWLPSTCY8KePXvazA+ucQ+uR1YIRECzZs3sNXCGXeMwHLHHPAomuwPp0QidKK+9+uqr9jV8iXuzVKSJwNfLnQtMnwndyFfzPiLHlfLGhnodxTA8fnWO4pFHH2Ne+XqD+Wb1hoIWowiTc4/YxfFlg8l/H3jggVZE5dPxTbRm5QIn/yQ7F5g54rNGiXRSteH2huHzlq+/QbpPcRCQAC6OeVIvRSAnBBA4hFAgJhDUQbd8Vq3yExuaLK40aA7lXX/he4vM0PlrzSc/bo69rJDliAvtAiN2OexJPD3rFdeQ0KKwOfdhqg5X6DlzC5fPIOcZ5s6da4v48P/DkOqvkJ9v3Tu8BCSAwzs36pkIBEKALyfSohFSwQGiIBsChgwUhH4E5QLzJesEk59H5MReIxgITwnD49iJr39pbpu7dItpGNy8tjn/qP8e/gpynrzXzsecJRpLvPDlCQXiF/cwrM49aQgrVaqUr6lJep8wOPe//vqrLbZz9913WxFMmJY3E07BIakDIhBHQAJYS0IEIkaAL0ty9JIybeTIkYGPnkNMn3zyiX0UmsuDZ+4ROSEgiGC/saEurpSwkT333DPw8ae6wfCXvzDj5i/b4mUdG9UyvRoHe1gxWd/y6dwzj8Rmu8IvXuHr+hdG516xwP+ZHYTvhAkTrPDlv3v16mWuuuoqm3dcTQTCTEACOMyzo76JQEAESJnWokULW041aJcGwU3RDmKdCb3ItsU7hU74pnOqPEwu8NSF35mBMxeHxgGmI/lwgeOF73777Wc4qJhsHuUCl//JybcLzGFeDuGOGDHCphVE+F555ZUSvtn+gdP780ZAAjhvqHUjEQgPAb4sKY9MJTKcm6Abh5kWL15si3Fk6gL7cQr9joNDhi5jRvXq1f2+LZDXbdz8h+k0aZFZsHRN7PqFjAF2nQjKBWYeyXxCXC8hKDi+5QlfucD+l10+cjkjfEm1iPDFmXfCd+edd/bfUb1SBEJAQAI4BJOgLohAIQiQro38xKRnCzoUgBAFXGDuk24O4lwKXy9nsgtQtpl0coWOBd60+Q/z5D++Nm99/JVpcNh+5sKG+5ptKmxViGURu2euXWAnfAl1ICMAjm+6+WBxgRHmzFkYsgpEKSMEwvfhhx+2wpdsD2Sp6datmy3goyYCxUhAArgYZ019FoEcEEDgUIYUMXHnnXfm4IrlXyJdFzhTp9DvQMLkArs+U6QEMV6vXj2/wwj0dS5+G+c+vry23xsjlpzjS3iDc3wzEbCKBU5NPdcuMAfaHnroIXPPPffYWHuEb9euXSV8U0+FXhFyAhLAIZ8gdU8EgiTwzDPPGEos4wIHHQrgXGBcv/333z/psLyCKVOn0C8zXOBVq1bZcJB0XWBCF55ZtCKnuXvXrVtnS8fSnzA8UnYuMIUo0o3fjhe+zvHNRPh651MucPmrO1exwAhfyqYjfGkIX3KXy/H1+9dFrws7AQngsM+Q+icCARLgy5ICHeQGvu222wK8038uTboyShKTESK+oEEunUK/A8EFptLYEUccYQ/p+W1Bxu2+++679vF+2Fxgv1k8mMdly5bZfzi+uRK+bm6cC0xe4KBDd/yuh7BmhMC532677fwOw77ul19+scKXDDFsCvv06WOuuOIKW8ZYTQRKiYAEcCnNpsYiAhkQmDFjhrnkkkusC4zTF2TDBZ4/f77NPIEwogUtmFKNB0FOxap0XOAgMzeE0QX2k8UDYepCHdjc5Fr4eucxTFk86FdYY4F32203U7t27VQfAft7xuCELxsXhG/nzp0lfH3R04uKkYAEcDHOmvosAjkkgCjFbTz11FPNkCFDcnjlxJci5ysCBsGJI4xTGLRgKm9QpHAiI0SdOnV8bwCCzt2LC4wIqVu3buDz4ecGxAJ/+umnCbN4IHyd40uGD4Qvzmy2oQ7l9UsucOpZW7lypS12k8oFRviOHTvWOr7MnxO+rqx76jvpFSJQnAQkgItz3tRrEcgpgSlTppgOHTqYjz/+2FSpUiWn146/GIITF5jwCx7P5kMwpRoQKdpWr15tGjZs6CsWOEgHmL6uXbvWvPXWW/aAYhhiLtkkUdHPm8s5XvgS100ceZDCVy5wqpX839+7WOBkLjDCd8yYMVb4csCxb9++pmPHjkbC1z9jvbK4CUgAF/f8qfcikBMCZFzAAW3evLkZNGhQTq4ZfxEEE7lfeUxObCGiym9caSAd8lw0XRc4yBhg162FCxdaZzwsLrDL4sEmgf9mHnEM8y18HZ+wVfSjX2GLBcYFnjp1qi16U7NmTYvu559/NqNHjzb33nuv2X777WPCt2LFikF/zHR9EQgVAQngUE2HOiMChSMwefJke8obFxjXKFeNg2buEblzfIk1Jq60Vq1aNi1WGBqP+NesWePbBSZ3L1kglq3eYGpVrmha1que09y9YXOB2SQwZ2yWEEs49/l0fBOtEcUCl//JYZNZv359G240bNiwmPDF5cXxvfzyy+1cqolAFAlIAEdx1jVmEUhAAGFz2GGH2eIYN954Y9aMEL7O8UX44hTyCN09IkcUf/XVVzZGMZ0yxll3LMkFfv31VxuageNatWrVoG6T1nVxgXFZcecL1bwbGOaJQ4s495nmBc7lOFwu50MPPVQZIZKA5WAbcb277767faLQr18/G+6E+6smAlEmIAEc5dnX2EUgjsDEiRNN9+7drQu86667ZsTHK3y33nY789mm3cy6zduaWruVdUkR3Bw+wwHeZ599MrpXrt+EC4zz2qBBA1+xwLm+f/z1cKQXLFhgTjjhhLyfxvfOI2IJxxfnnljgTCr6MbYgcifjAvOoPwwV/RhjWDJCsI4ffPBBc9999xnmEhf4+eefTzstWtBrXNcXgUIRkAAuFHndVwRCSAB3j/yqbdq0sU5ROo0vWcrcEhvKY9Wa++xnbpy73CxYujZ2mQb77mrGtq0XCxXAIeY9YXKBEeU8Ng76MKBftu+88451W/PlAscLX+fcu0Ih6Vb0c+MMKm46jC7wokWLbIw7Obbz3RC+DzzwgLn//vtNpUqV7OcY97ddu3b2iUvQBW/yPV7dTwQyJSABnCk5vU8ESpTA+PHjTe/eva0LvMsuu6QcJbGhiFjSmxFbiGDCKZz27nIzcObiLd4/uHltc/5RNezPnQuMu0g8cBjaJ598Yg8KHXvssZFygeM3MPHC182N34p+8XMZZOaMsLnArJ8333zTPklAhOaj8bQA4fuXv/zFPr1B+F522WV280RGiKOOOsqcfPLJZvjw4fnoju4hAqEnIAEc+ilSB0UgmiFjqwAAIABJREFUvwQ4XX/wwQeb9u3b29jBZC2Z8HVOod9cuYhn4oEbNWoUiljgDRs22Fhg3DucszA0XGDiqKlYl+vGPLpYbe8GprzS0K6iH849Mcp+mt/14Oda8a9xLjAx7GFxOPPlApO+D9GL+OXw6vXXX28uvfTSLWK0n376aXPRRReZL7/8MjTx0pnMtd4jArkiIAGcK5K6jgiUEAES4+Mg4QLvvPPOZUbGYTFEKyKI8qg4hRwaixdMfh0/XGDKER9wwAGxVE2FRsm4ieUMiwuMyHn77bdzGgucagNT3hxk4gL7XQ+Zzv2SJUvMDz/8EJpY4KBdYNYEYQ7E+bJRQ/gS5pDscCIuMPm+zznnnFAcYMx0nvU+EcgVAQngXJHUdUSghAjgqB100EGmU6dOplevXnZkfoWvw5BOzKeLHcYFzlchhfKmK4wuMAKYw2jZusBe4VveBibVcnYuMBkhyC6QqqWzHlJdK9Hvo+IC//TTT1b4jho1ysapO+Hr14nPhK3eIwKlSEACuBRnVWMSgRwQ4At2wIAB5rnnnrM5RDlFThwhji9fvOU9Ine395srl8N3HD478MADzd57752D3md/CVzgX375xRxzzDG+xpr9Hcu/AsKHtGhkhMikWle6G5hU48EFJlRkr732smvCT/O7HvxcK9FrStkF/vHHH21GB4pYEGN/ww03mIsvvth3CEqmTPU+EShVAhLApTqzGpcIZEngs88+s4+T161bZ93g2267zTRp0iQwMcgJdQ7Shc0FRvTnsjBINtOCC0yGjcMPP9z3ZeKFL6EmfjcwqW7CfHEAjVhgPy5wqutl+/tSdIERvlRtQ/gS34zwbdu2rYRvtotF7488AQngyC8BARCBsgQQorfeeqt55JFHbEwuh69ee+01s9NOOwWKCheYWGAO4OEqhqF99NFHhnAIXOAwtHRcYIQvc0moAnHc6Tj3fsfqXGBcezJ5hKHFu8BB5B5OZ5yZxgKvWrXKCt8xY8ZY4du/f38rfMOw0Uhn/HqtCISVgARwWGdG/RKBAhCYN2+eOe2002y4w8CBA60bi2PYs2dPc+WVVwbeI06ok2eWx/xhiAVev369Lf8bFheYg0y4wIRAJHOBEezukCJp7BC+HJLyE7KSyQSH2QXereoeptOkRWbB0jWxocXnos5kzOm+J52MEBzkGzlypOEgao0aNWxVRrI3SPimS12vF4HyCUgAa4WIgAjECOAaUunrpJNOigkmvoxvv/12gxsadPlUUrARC1y7dm375R+G9uGHHxoOjh199NFh6I7hkfi7775rNyeEQ7iG8MXxZQORD+Hr7htmF/if2+1jBs36bIt58+aizsek+nGBqWbnhC+OOsK3devWEr75mCDdI5IEJIAjOe0atAj4J4ALiovYt29fc8UVV/h/Y4av/OKLL8zy5ctD4wJzEA4XmDCIypUrZziq3L3NucBkcCDvbbzwxbEnZjkoxzfRSMLqAr/+rypm8ns/btHljo1qmV6ND8jdpPi4Ei4wKf94muBtCN977rnHjBs3zoYcIXwvvPBCCV8fTPUSEciGgARwNvT0XhGICIG7777bjBgxwnzwwQc2JjjIJhc4NV1cYDJCVKtWzSCgqDbGJiXfwjfsLvD091aYRz/5veAOMB0gtKFp06Y2rvfEE08033//vf1MPfTQQ2afffYxN910k7ngggtCUQwm9QrUK0Sg+AlIABf/HGoEIhA4AVzQfffd135Jd+zYMfD7kVkAgUAscD6dzGQDcy4whTEoM1vIhiNPrDQuOUUP6tSpY53pQnP65ptvDO59mDJCvPLa38wjX+9kFi1fH5uyQsQAu5s3b948dqjy4YcftgcHcXxbtWol4VvID5XuHUkCEsCRnHYNWgTSJ3DHHXfYkqvvv/9+4JWkcIHJCHHooYfmtWxreRkDcL/pV/wj7PRJZvYORDgxvitWrLAinINtCM74WODMrp79u4gFJn67Vq1adrMUhkYqv+9/WGVWVNzHfLP6V1OrckXTsl51s02FrfLePTYsZFdB+JLv+pZbbjHnn3++hG/eZ0I3FIH/EJAA1koQARHwRYDSwAibwYMHm/bt2/t6TzYvyndRg1SVyhg/BwQbNGhgQw7y1ZzwRUDh9LpQB2KBFyxYYFOcsVEIQ3MuMNXhKlSoUPAukReYjRTV8wgXKUTjUCKhDghf8mkTu83mZebMmYXoju4pAiLw/wQkgLUUREAEfBPAwSI903vvvRd4Iv58FzWYuvA7M3Dm4i1YeDMG4H6TrzgfLjDCl1AHHF9iexG+8YfwyBXLXBB2EHSGDj+LJKwuMDHTpPbLZ5gIwnf48OFm/PjxNrc14UPnnHOOocJgvXr1zFtvvRWa/NJ+5lavEYFSIyABXGozqvGIQIAEqArHgR3Sol1yySUB3uk/l86nCzz85S/MuPnLthiTN2NAPlxg7uFCHRC+ZHVIFneMC4yQwpE+5JBDAp8PPzfABUa4I8qj6AJTeAThSyEZ0vk54evNa03MLykHKTOuJgIiUBgCEsCF4a67ikDREiAEYsKECTYXbdDJ+fP5CNuPA8ykpVPUIJ1JRvgiHDn8xyNyHF8/B+7ILkCfwuICk+pr/vz5oYsFDtoFJhUc2VL4bBCSMmDAANOyZcuEBV2IJ2/Xrp0Nzwi6wmI6a1CvFYEoEZAAjtJsa6yhJ8DjUfLtUnp4m222MaeccorNEepKA+OIUpGNw0aII/6bEqmucUiLU+W4TyTfJ+3SqFGjyhwke/755831119vFi9ebEUWh9vOOuus2DV45N69e3fzwgsv2MNufFHfeeedsZCHNWvW2FjgYcOGmTZt2gTOlINMQYsXBpEqBtgN1BU1aNiwoS04kW3LVPi6+4bRBV62bJl1saPgAuN4O+FLrDGOb4sWLVJWMmTe8hmSke061ftFoNQISACX2oxqPEVNALH55z//2aZFItwAIUos4T/+8Q9DTCjOEmnIevfubSuzkVZp6NChplOnTnbc/JyiDY8//rh1ljp37mzzxCKYae+8844V1ZMmTTJNmjQxU6ZMscUtyClLUQViOBF2VD0jzAExzJc5/eE+ruFuPfHEE/Z6QT/mpgob/Sfd1x577BHo/G7a/Id5ZtEKs2z1hnIzBuC4ImDq16+fcX8Q0ji+zE+VKlXsZiTTw3W4wMQnkxEiDLHAzgUmXIZ/YWi53Egx9074Pvroo3ZtInzZSIahhLfjzUb4sssuK4Of+aBUNo3wmWuuucbGkVevXt1upr1pDlmjvXr1MtOnT7ex78Qw33///fbgpZoIFDsBCeBin0H1v6QI4AZ6H4kifnF/cdQ4NU7S/Lfffjs2ZtxhTpcjfnBmOemOKMWJoiGMKCmMgObgFhWmqDaFe+va2WefbR9Xk6B/9uzZpkOHDvZ+ONC0p59+2n6JcuDKid2ffvrJusC8h+T9QTfc6tWrV1txHgbXLBsXOJfC13FHkDHHHJIj7jQMLWwucC42UnBmXDi+EydONHXr1rWhDs2aNQuV8PUKYJ7e8GQpviHg6b97ksNTp3PPPdc888wz9skR7bzzzrPCd8yYMTYFIJ91chc/9thjYVhi6oMIZEVAAjgrfHqzCARLAFGLqCHfa58+faxLO2TIkNhNP/zwQ+s+4Ra/+uqrplu3btaZ8jZK+JK27KqrrrKxpbi+jRs3jr0ERwenCGGNg4wjyZe7awg2HvUTt+iENb+74YYbzFNPPWVTcQXtenFgiLhSvrCrVq0aLHSfV8c1Q4xzot9P8wpfxoDjm4sQCndv5o05Iuwg6Gp9fsaLC4xzz0YpLC4wGyk2b+lmhED4Ll261IpFnp7g/CN8zzzzzMDXvh/WyV7D55oN8l//+tctXkKoFX9Xpk2bFvtdjx497FOJZ5991nzyySfmyCOPNMQ284SCxprn6RBPhsLyOcyGj94bbQISwNGef40+5AQQp5wopzIaDi5fUN4cvE6c4vDMmTPHurUIYW/DxSHxPnG/iGliM72FCjiJzmNPDl/hBvPlPmjQoDLXQDjzxX/GGWfEfo4jzHUefPBB6xQF3T799FOzdu1am4c3DC4wmw5cV8RUeY+EeR2iAjfer/AtryBHMs5ygVOvwHRdYCd877rrLut68hkk1IHPQdCbvtSjSf0KBDBidsaMGVu8GCHLhvnyyy+P/Y6nTPx94bN933332c0yB/W8DTHMdQm/UhOBYiYgAVzMs6e+lzQBhOlFF11k4+9OO+00K2LJw+sNOSBml7AEMjLw5UX8L4fcvI24YtJpXXvttTb8AaHrjaWdN2+effSJ20xc8Kmnnmquu+66MtdwIRIIZG/jddzvzTffDFwQ4ALjKOK4hsV9gjtCKJELjPDFYUNMwBvH10/spN/DeIkWf1hdYB6bs4bC0PyE0yB8iZN1wpenKDi+fA6LQfg6zghVNrdsGAmlQrhTgY4NLYdo2TCfdNJJsWnhCQJPWSi3zYaZvwlcw9sQzlyza9euYZhO9UEEMiYgAZwxOr1RBIIhQMzdwIEDrbM6efJkc/rpp9sbEf5A2MHFF18cuzFfVFSW4oAP4QgvvviimTt3bpmOIZipQMVhF2KECZHYe++9Y69BwHKIjvylPNI94YQTbCYJb0PA4YC52ED3OwQX4mbcuHE25VPQjceyuN7HHntsKFxgHGkOEh1//PGx2G1+huObrvB17PymY0vEGuHGZoQNT1higQkdQEyGJSNEeS4w/HhCQtwsB0lZZwhfNoXFJHzd2tiwYYMhlSAHI/ns8DcAMfzKK6/YGH82zDxRcY11S95p4u3ZMJMF5oEHHiiz1E488US7YeZplJoIFDMBCeBinj31veQIIGgRkog8six4QxX4Ej755JOtM+MaYQHE5ZIhAqf45ptvtunNvI1H9AhcDrIhlnF8EWyukSYNccujTrJG8AU5evToMiKbg3mkYOPLMb4RN/zSSy/ZMsFBhybwhU4sMGEaLi6x0IsAFxgXnjhXHF9StrHRYGPgx/GN77+fghzljRmHn9jwsMUCh8kFJoPKrFmzrMhD2CJ8EX8IXz53HLYk1IENXzEK32Trgw0r2R7IYsIY2TCzTlwjlOrwww83bBIQuIhnNrfehmDm74nLPFPoz5/uLwKZEpAAzpSc3icCARAgHg+HlvCH+INMHH5DvOLeuEacHvF9/IzT6YgMRJgTzogxHn0ilPkZh99wcHCYXSN+l8ee/IzDb8T/EnPsxCx9wTlCICRqHIjhvqSD4jR80I0vabJlhMUFxjl3p+wRvoQ6ZFPcIBsHGPbOBeYxNyV4w9BwgflHmrag0+b5GS+fFcJW+PywQSTUAceXjSGOL5+TUhK+XiaED1GemfRmbJgJs3KN3N8IW/4GEW5FZgjOFngbApoNs/cgrR/meo0IhI2ABHDYZkT9iSwBYlzJCoCYRSjEt+XLl9tyt1Riw6nFxSEm1+X05fWEO3DKHTHK40tehxjj/9NwvSheQbgEoQ64XcTx4ojxxYjDyj1Il4YQ4IuQe3BinPRoyRoCmZPmxOjmywXmhDoir1CN+Eg2BWwyYM3c0adsWzYxwO7ezgX+3//9X9u3QjeXESIsLjCbhEsvvdSGr7CB4fPmhG/Q67eQc+FCHPi8k8qNMwSIYdd4msPfD37GEyE2tKRidBs6YoTZJOAk77DDDoUciu4tAlkTkADOGqEuIAK5IYDYTHZQ6LbbbjP9+vWzAvPqq6+2ghVHF7fW6+AQf0p1OHJ5EuOHkOWLzvtlRXgD7g4iiQMtZJrwCjfczC5dulhxgKPZs2fPlPF+fEnifHpjlnNDJfFVGD/hIhxOyrdgIT4SIYFQwA1D1BG3TTo4NhWEmWTb/BbkSHYf5wITJkL8dxgaccA4r4V0geFCKA+hDmwGeZLAZ4iY93yvo3zMCXm6CXFgU8vnmg0xB2H5+8AGGjHLITfCrni61LZtW/s3hvMGsMIdZ/1wHcKsWrdubZ1fNuFqIlDsBCSAi30G1X8RCAkBhDeimTRsQYsJxC8HeEhLxYGvfDSv8N1zzz2t8PWKXQqQ4LaSlzkMjdAURA8CKCwuMK4iceSIsHw2xBwHRRG+pPYiDAjHlywI9Im5C3rN5nO87l7EMY8dO9ZmcyBGnc0yG2lXLZDx8/85+EeVSfIckwnGNdxxKkUijnnCQYgW4jcMYSyF4Kl7lhYBCeDSmk+NRgQKRoCE+YgbBEZ8toggOoULTMgGLnCQDacXxxcBnEj4unsjMnLpAmc7JkQfBxMJbQmbC4woz0eMLQw4FHrHHXfYgg+UGUf48r8IXsKKeHLx5JNP2pLfaiIgAtEhIAEcnbnWSEUgcAKETlAt6uWXXw7cUeORLC4wApgCH7lsCCfn+CJsnfBNFfeIk8jhRW/FvFz2K91rRdUFZv44+InwJTsK2VNwQ3F+451esh0Qv16qLnC6a0avF4GoEJAAjspMa5wikAcCnPSnYAeH7E455ZTA70i6L1I2Ecuci4Zwco4v8dR+ha+7N6IZIUUscCqxnIv+prqGc4HJ48y8hKERC0y8O7HAuXaBGS/5bp3wJV4V4cthwGQhDrjAuMTeghBh4KQ+iIAIBEtAAjhYvrq6CESOAFWiECHkGA06rtK5wKREo7JVpi1b4eu979tvv20qVqxo86mGoSHwmA9EIAcjC904MMhBq1zGAjvhe/vtt9u0gAhfQh0ItQh6DRaap+4vAiKQGQEJ4My46V0iIAJJCBAvS/5ZSjPzyDnoRmqmTZs22QNx6TYnfMmdTOniGjVq2MNtCNhMGw7ywoULQ+UCEypCRo+wuMAcuiJmPFsXmPkjFhzhy4EuYs9xfLlumIUvnxEyM5CNhWIcZHTh6UmiRoYVnkSQrYK8vd5GLDOHTtVEQATSJyABnD4zvUMERCAFAarOIXIosxx0I5UVh72oUFWpUiVft0M4kb8XIZIr4etuzLVxgQmByMQFJg/wM4tWmG9WbzC1Klc0LetVN9tU2MrXuJK9CBeYmFgc0TC5wAhyb1luv4N0wpf0gKT0okoiji9pvcIsfN34yMYwdepUK9wRwIka2RmYM4Q9DQFMlpV8fKb8zoNeJwLFTEACuJhnT30XgZASoJJc7dq1DZWlEhX1yHW333//fUOxhVSFKBBOq1atssKXctNUycN9y8bxTTQWxDUlkhl7OtfORRGMRP2h4AGbBPIWJypnnev58HO9TFxg5o+4b4Tvs88+a0477TQrfMlXWwzCFy6zZ8+2qcTYiJB5IpEAZsPCUxTmzB2oRACzbl1RGz+M9RoREIHkBCSAtTpEQAQCIdCuXTtbZYtSykG3VC5wIuFLqIPLh5rr/jkXmDzBFBXw27Itg1zefXiUzmGvYnSB4ckmB+FLaM0ZZ5xhQx0aNmxYNMKXueGQJFlLcHW7d+9umjdvnlAAk5mCjRpVHl1DAPO0Yvjw4X6Xk14nAiJQDgEJYC0PERCBQAggthB/L730knXogm5UtsLp9LrATvgS48uBOef4BiV8vWPMxAUe/vIXZtz8ZVug6tiolunV+ICsEMKGWGDiSYvFBWb+mFeEL5XbzjzzTCt8CXcpFsfXTRpjwfFlA0JpcbJOJBLACF+KVsyfP9/Ur1+/jAAeOnSoHTcVIyl7TgW7MGQbyWph6s0iUCACEsAFAq/bikAUCLRp08Y6WS6OMcgxE9Lw5ptvWldw5513Nj/88IN9ZJxv4esVPBTGoC9U2fLTgnSAuX8YXWAqsREL7K0Oh1gknzQxsgjfZs2aWeFLto9iE75u3m+55RYb0oCDzRiSCWBE7pw5c2xuYm/jKQdcqMLGIcuuXbtagTxx4kQ/S0uvEQERiCMgAawlIQIiEBgBSvESw8hJ9aArtjEI4m43btxohQLClwNWxPhSnCKoVt6hNcQ/Qg7Xz4/rHFQMsBu7c4HJdkEFtDA0ckYjDnGnKdnMHOL4Eit71llnWeFLnudiFb4wfuKJJ6xbyyE2V7o7kQBmfgjNIY9x69aty50eDlqyISAsgk2WmgiIQHoEJIDT46VXi4AIpEngwgsvtAfOKEUbVEPwrly50nD4bv369fawF4eIghS+jCWVYKVfiB6yU5D2yk/b9P9ZIJblMAuE977EZX/22Wc2L/DWW2/tp0uBvoa0cTjknTt3tvmKOThJqADCl9R2xSx8HTg2G7jv3k0Qji4H4ShTTXwz7ZVXXrFhHjy92GmnncrlzgaP15AGMCyVBwNdKLq4COSYgARwjoHqciIgAmUJ8AVdr149w6PuVFka0mXnhC+hDghfHqMjthF23DPo5idkATFDHKtfFzjoPofJBWb+qJzXv39/+7/k8R04cKBdJ6UgfN1ckvOYAiDehsNLwQ5CGVwquKuuusrmR/YTMoRYJv0bsea77LJL0MtG1xeBkiMgAVxyU6oBiUD4CJx33nk2NOHJJ5/MSecQTt9//72N8d2wYYMVvoQ68AidEsa4ruSETeWiZdsZP4fWMnGBs+1XqvcjsnDLEeWFcIFhQnw0oQ4ckuQwGGEy99xzj+nQoUOq7pfE7xOFQJA6sEuXLqZnz55bjJGiGeecc449IPePf/zDXH755TZEZOTIkSXBQ4MQgXwTkADON3HdTwQiSIA4WB5nc7I9G2fWK3x//fVXK3wRBAhfbyOOlMNCdevWDZS2HweYDuAC85gbwRl0WIafAeMCMxc4j8Sc5qu5zQDCd+7cuebcc8+1sbGsiSFDhtgctxR/KIQozxcDd594AbxmzRpTuXJle/iN8JT4huCl6AehDxwa7NSpk7nyyivtOlcTARFIn4AEcPrM9A4REIEMCLRs2dJstdVW5rHHHkv73QinFStW2Opy5Qlfd+F8ucCpYoBdf+g/rh0CB5cvDC2fLrAbP8L35ZdfNjwRQPiyQXGhDghAxPiIESNM+/btw4BIfRABEShhAhLAJTy5GpoIhIkAMZ6cWkcI+i0RjFPpQh1+++03m/+Uf/GOb6JxkiqKQ0Z16tQJFIPfQ2sc0iMeOkouMMKX1F8IX2JWW7VqZeN9mZNEMb64wBSLULGHQJesLi4CImCMkQDWMhABEcgbAWI9KQ08YcKEcu+J8HWOL7HDLtQBQeu34SgSZ3rCCScYKrIVuiEGyVNMGqywuMDffPONoUhIrmOBGStpzRC+r732Wkz4kq2gvMNtvK+UDr8Ves3p/iIgAskJSABrdYiACOSNAO4vh9MQpomKQzjhy+G2TZs2xRzfdISvdzC4zsTchiVNFG72hx9+aGM8/bjYQU8MvP/+979bzhwizLYhYIktRvgSy+qqlVERMKzClrVGijoOmV177bUWQaK+4mATt0sj00ivXr3M9OnTbXYHDqfdf//9yseb7QLS+0UgjwQkgPMIW7cSAREw5vTTT7d5ccePHx/DgRBbvny5jfHNhfB1F+ZxOgUDwuYC77777jZPcRiac4ER5ZkeqEL4kuYO4YugJsUXoQ5scsIqfB37iy66yEydOtVWnfMKYDZrlFxO1IhhRviOGTPGrleEPvHLmcS3h2ENqA8iEEUCEsBRnHWNWQQKSIBH44gt3FkyOCBQEVC5FL7e4XF9wi78xh0HjaaUXGAnfHFPcX4RkwhfHNWwC1/mmWpzgwcPtrHiFN/wCmBCQxJVy6NYB3mKOURYpUoVu1zIckK1OsJ2qlatGvQS0vVFQARyQEACOAcQdQkREIH0CFAAgNAEDqqRxH/GjBk2zjfTUIfy7k6lMe6DC7zDDjuk19EAXu0OhiGUqAIWhrZs2TLrvhML7McFZgyEOOD4sqFxwpfY5mIQvjDn6QDluSk60b17d5uL2CuAySSSqMDEfffdZ6ZMmWIdb29DDD/yyCP2OmoiIALhJyABHP45Ug9FoGQIcKANkUC1L4Rpu3bt7H9zMCyohljDBUb8hsUFxin8+OOPreAMQyzw5s2brYOLI8+/ZI1QFYQvji8H+tq0aWMdX8I5ikX4MjbWBI4v/Pv27Wtje+MFMPPCmqlfv74ZOnSo3UDRevToYThgyTr2Nhzgjh072spuaiIgAuEnIAEc/jlSD0Wg6AkgOIiXRDiRyL93797m+eeft3GTo0aNCnx8lIulOEajRo1sOEShm3OB99hjD1vUIAytPBcY4Us2B+aP2Ni2bdta4YuDXUzC13G+5ZZbbHq2mTNn2v7HC+BVq1bZOHX+d+zYsdbpJmSHw3yIXMTxAw88UGbaTjzxRFvYA4GsJgIiEH4CEsDhnyP1UARKggA5YHnk3K1bN3tanlP1TZs2tRXScpGBoDxIrvQupZERMWFoHPojnpR46CBCP9IdIy7wrFmzDGL37LPPtm/nv5knBCCZO5zwRbQXo/BlTE888YQtwkG5bPfkIVFZYi8/3GHCO+6++267fnmSMW7cuDKIOTBHdTb+qYmACISfgARw+OdIPRSBkiSAKMU1w0UkhVTQDTePw0phcoGJn61WrVpoXGCc0dGjR9vwDEIcnPNJqMr1119vDjjggKIVvm59cbDtu+++M9tvv31syf3rX/+ymxDWIhuy+NanTx8bIz1t2jTrguOGz5kzp8zLqlevbrNAEN+uJgIiEH4CEsDhnyP1UARKlsDcuXPNmWeeaUUHuWiDbM4Fxn1OlIM4yHsnuzZCbPHixTYWNQwu8Lp16ywbYqUJdbj00kut8EU0FqvjG8+e7A2kMPM20rYhXInf3XvvvbeYrj//+c+mYcOG5s4777SH35o1a2ZFNE8UaFT4I7811f7CcNCyEGtZ9xSBYiMgAVxsM6b+ikAJEUCU4shSqOKee+4JfGQ//PCDWbRokRWcXgcw8BsnuQEhBrjAe+65p3VXC9Xox4svvmhz4VIYYsOGDfbgYLGkM8uWmzcE4tVXXzWskyZNmphff/3VDBs2zDz00EP26QGhOqzZ4447zrrF9957r41pdwKalGpqIiACxUFAArg45km9FIGSJfDCCy+Yli1b2gppe+21V6Dj/O33zWbk02+adX+QtIb9AAAcc0lEQVRsY+ofuLdpWa+62abCVoHeM9XFC+kCI3x5lI/wZWNw2WWXmWuuucacfPLJZsCAAebKK69M1f2S+L1XAJMNgzheQh44CEf2B/h4C5d8++235oorrjDz5s2zqdIuv/xym0/YTwq5kgCmQYhACRCQAC6BSdQQRKCYCeCo8XiZNFIcMgqqbdz8h+k0aZFZsHRN7BYN9t3VjG1br6Ai2LnANWrUSFh4IQge3JONBzG+bDwQvv369bMp0Ah1wPUcOXKk+fzzz22+ZjUREAERKDUCEsClNqMajwgUIQHSUZ1//vnmo48+suEAQbSpC78zA2cu3uLSg5vXNucfVSOIW/q+Jo7iZ599ZjNCbL311r7fl+4LEb6kn8PRhDXClxjf+Ny/PNYnRd3NN9+svLbpQtbrRUAEioKABHBRTJM6KQKlTQAXmBRpHCTioFEQbfjLX5hx85dtcemOjWqZXo0LF39Lh4J2gZ3wxfEl9ZrX8U3GmphgHvsHnaIuiLnWNUVABEQgFQEJ4FSE9HsREIG8EHjmmWfsYSKcSVJK5bqF2QFmrGQnIOSAA3q5coERvuT2Rfh++umnNlaVUAfKToexcQCPg3ekGqMs8W+//WYGDRpk04txMI3fkaqNLAyu8Xucam8jawOH2dREQAREIBkBCWCtDRGIEAEERufOnU2XLl1syIFrFAXg8BMn3RGfVPmi4pVrP//8s+nVq5eZPn26TSF1zjnn2Ny9pBRzbcKECbZkLBXFSKPF73F0XVuyZIk9VPX3v//d7Lrrrva/uY9ruMBHHnmkQbwg2HLdEsUAH7TLv83kK04wO1b8b07YXN/X7/UQqxzAIg0X4QfZNK713HPP2VAHQisQvpT8DavwdWO96KKLzNSpU22/EcCsN2KVEe3kS37yySftuiFFW7169ezbEMCsX0I71ERABETALwEJYL+k9DoRKGICX3zxhRUVVMHatGmTmTRpUkwAf/PNN6Zu3br24FObNm1skn9KuuLIUqmNdt5551nhSzlj3n/BBRdYkYYzR3v22WetYH7qqaesiCWl2V133WXFV9WqVW2qKPLL8hrKIOPyUl0LweytnIXgoegCv6dMcK7bps1/mGcWrTDLVm8wNStvb6qt/9rsWW0Pm9IqDC1bF5hqbk74suGAN8I3UW7bMIzX24fZs2fbTArkQ27RooUVwBSocLl23WtPPfVUGyt90003xQQwG7tHH300bENSf0RABEJMQAI4xJOjrolArgggDig6gRji8TFi1znA/AyBTJUr13r06GHzwSJsiRlF1CLOqlSpYl+CU0zWhhUrVliBSxaHSy65xFx11VWxa9SvX9+KWZzjBx980OZSJbesa4jkhx9+uEzlLZxLxPhpp51mhgwZkqvhJ70O/afqGWEH2267beD3S3UD5wLj1KYTe4vwZa7Y5DCXbCquu+66wNPKpRqP39+vXr3axoA//fTTpnv37nZzhABO1CjTzBpxOXdxgCngMXz4cL+30+tEQAREwEgAaxGIQMQIIKy8Ahgh261bN/uY3DWyMrRv395QPvi+++4zU6ZMsRWwvA0x/Mgjj9hyxoQ04Dh6izkgYL7++msrrHGQDzvssDKilvRbderUseLFG0rBY276gjB1gjuoKSLs4o033rAiPiwuMI48IhaXM1VeWYQvovGOO+6wGxbCWxC+pFQrlsYc4PiyCWEz5s3JGz8GNizME2KfXMU0BDBPEkjfRjVBnk7ceOONqshWLAtA/RSBAhGQAC4QeN1WBApFIF4AI14RUQgP1yjtisu2fv16myZrzZo1Vux6G8KZR+zE+fLfGzduLCPYEM6EWhCviRuMq4yodo24YooIIHS9pYkRdQjjs846ywwcODBwTMuXL7cuN4IzDOWIcYGJk0bMJXOBYUS4CcKXTQbCt0+fPkUlfN3EcqiNTQibLkRsMgGM+OXpBRupiRMnxtYFYRKIaDYLCxcutGnbWG/e1wS+iHQDERCBoiMgAVx0U6YOi0B2BOIFMBkHKMfboEGD2IVxE3FzeTSNk0t4wAMPPFDmxji/xArz6Jq4TMSytxHeQKlYwiUOPPBAe7Ifd841hB6i5d1337WCxdsmT55sD+ohTCtXrpzdgFO8G/HE+DlkRT/D0DhISCUyXFGvC4zwnTFjhhW+S5cutYyYn6ByJwfNgph03FoOse222272dokE8CuvvGLatm1r1xuhM+VlySDM5thjj93iyULQY9H1RUAEiouABHBxzZd6KwJZE4gXwDvssIMh5ytiyzVcWTI5kIYK5xZ3d9y4cWXujWAm1pTT+I0aNbKH47wNwcwhOTIb4NrdcMMN5uKLL469BMG844472oNy8eEHCD3eQ+gEAinoVshyxInGxvhhiyCHGwcQOSBIjmRCJJzwDSJdXNCsvdfff//9Dey33/6/WThwdHHiWRPvv/++GTVqlH0KwQHMVq1apeweBy45OMdTjCOOOCLl6/UCERCBaBKQAI7mvGvUESYQL4ApdkAeVVJQuUbqKQQYYgvnlswQc+bMKUMN8YXAJXxhr732skLG60SSuooKZzyKxiEmZhMh4xp5aREoCJZE5XY5uHf11VfbEAnCNIJsrhAF/ffGMQd5z1TXJjQA8Qd/XE9YInwJdQgiQ0aq/gTxew5WIu69jVzQjRs3tqEMxEK3bNnSrj+X9ixVP3CLWW8//vijDbFREwEREIFEBCSAtS5EIGIE4gUwB84QgOPHj4+RIFXZTz/9ZH/G4TdiLxG4LiUV7hqxvytXrrSHjRCNAwYMMJdeemnsGsQFI2D5GRkd5s2bZxAnrhEjzON878+8U4EwovABqdkQ00G3MLnAjJ3NBYfC2Bx06NDBhjpwWK/UmzcEgswiuMNjx45NOmw2COSlppwz8easZ+LHR44cWeqoND4REIEsCEgAZwFPbxWBYiQQL4AXLVpkxSyH3HDbEKrEW3IQizAEYmSPO+44+0iamF4cW+fSuVRUhDtQvILcwYhWHEvEM5keEHAcNOPnvJ4DW9yTdFYckmvSpElSjFwDMY4LHLSbF3Q5Yj9rhTASMm6QQ5lDX8SyMnbigb1hAn6uVayv8QpgnGDWY3yrXbu2rWxHQ/Cy7liXhIzw5IJiGakyaBQrH/VbBEQgNwQkgHPDUVcRgaIhEC+A6ThZIHBZEVqENJAmzStMefx+xRVXWDGCEEV0IGa9IoP/jxAmrRnV3Phvb0UzBDWOMEUu6APpq7xhF4kAIggJ0SB7BI/+g26Mk5hkMkLkqhyxnz4zTtK/EeNLyV/S0iH8cddhSNEHb45lP9fUa0RABERABJITkADW6hABEQg1AR5/EzuMExpfFSzXHc9lOWI/fUP4kgkB4UvOZUQuhUN233332NvZjOCoEw+bKFbaz330GhEQAREQgbIEJIC1IkRABEJNgAwUPNomdAJxGHTLthyxn/4hfB9//HEb6sBhLYRvz549ywhfdx0e7ZOTmZhgQlHUREAEREAEsicgAZw9Q11BBEQgYAKUUqYoBuETpE4LsmVajthPnxDzTviSY9kJX5cDN9k1OBSXz5AMP2PRa0RABESgmAlIABfz7KnvIhARAuQjJtMEgpE44qBbOuWI/fQF4UtxDxxfquoxBvIrB13kw0/fkr2GYigcXCTLAhkoaBSsuOaaa2xxE9Lg9e/f31YDdI3qfrj05CxGtJOd4f777y9T6jqbPum9IiACIpArAhLAuSKp64iACARKACFFblxc4IoVKwZ6Lz/liP10AOFLpgvieDkciPBFQIZZ+LpxcUBx6tSp5vbbb7cCmE0BoRiMhdR05OalMhsZGJo2bWrfRuEShC9FKwjzoPIfh/gI31ATAREQgTARkAAO02yoLyIgAkkJ/Prrr4bKYcTKkuYq6JasHLGf++JYO+FLZTMnfIMu6OGnb35eM3v2bJvlg4psLVq0sAKYnMQcxJs2bVrsErjYOMXPPvusLVt95JFHGmKoq1SpYl+DU0w+aFK6RSGHsR+2eo0IiEA4CEgAh2Me1AsREAEfBMiGcMcdd1gXOOi8uJQjJnUbKdsosuCnIXypfHf33XcbhC8CEfFbqVIlP28PxWuITT7mmGNsarzu3bub5s2bWwGMkCU9GynwXJs5c6ZNUUcGCwqbkMOYwinehhgmxzTXURMBERCBsBCQAA7LTKgfIiACKQmsX7/eusC4keQlDrotXbrUfP311+Z//ud/yi2sgDtN6ebhw4fbggy41IjHYhK+sKToCY4v44WxtygF7jWimJ+5RkVAwiKYF1LVEd+M2PU2hDNxwpQ2VhMBERCBsBCQAA7LTKgfIiACvgjgro4YMcIgvoLOi+tcYOJYa9WqtUX/EL4TJkywwnfDhg0x4Rt01TpfoDJ4ETHWb7zxhsHZ/dOf/lRGAJOF4vXXXzcNGjSIXZnwBw4n4hrjEm+77ba2AIq3nXjiiTZWGDdcTQREQATCQkACOCwzoX6IgAj4IoDDSljCgAEDyjyO9/XmDF6EA/zqq6+aVq1axVKwIXxxOhG+/DdV24hLLlbhCxYKctx4440204NLy+Z1gKlK9+KLL1p32DWKkxx++OGG0A8ELof+xo0bV4YygpnyxPxTEwEREIGwEJAADstMqB8iIAK+CRAH/Je//MW8//771nUMsuHsUoiD7A2ENYwfP9460GQ5IOUXwnfnnXcOsgt5uTahJd99912Z2GrimDkId9BBB1mhf/PNN5cpX/3CCy9YYUuGCNKlkRlizpw5ZfpLujSyQDRu3Dgv49BNREAERMAPAQlgP5T0GhEQgVARIN8sLvCQIUPsIayg2w033GCzOnDwDpcTx5cDYaUgfB07sjeQwszbWrdubYUr8bsUIiE9HBsA1+Dw008/2Z9x+K1Zs2ZWRLuS1YSpHH/88WblypUGB1lNBERABMJCQAI4LDOhfoiACKRFYOjQofZxO6m2cCmDaBzuevjhh63bjLDjgBgxv07gBXHPMF3TGwKxaNEiK2YJ/WjZsqWZN2+eadu2rc2Ucdhhh9kDdJRqxi2+99577WFAJ6BJqaYmAiIgAmEiIAEcptlQX0RABHwTWLt2rXWBKdRwySWX+H6fnxcifBHXpF2jccCLcADE35IlSwIT3H76ls/XeAUw9yULRL9+/cxXX31lDj30UFsUo0mTJrEuffvttzY7B+KYeGhSpiF+K1SokM9u614iIAIikJKABHBKRHqBCIhAWAkgrkg/tnDhQkOWgmwbriXCd+TIkTYLAsK3S5cu9vCbC7ugnHGHDh2yvZXeLwIiIAIiUEACEsAFhK9bi4AIZEeAvLMUqSA1GuV5M21O+OL4brXVVqZPnz7WyUT4ehtpwoh3/fTTTyPjAmfKVO8TAREQgTATkAAO8+yobyIgAikJ3HTTTebJJ58077zzTtqP2glrGDt2rHV8iSNG+Hbu3DnpgS3CLh566CGb+SHoHMQpB64XiIAIiIAIZExAAjhjdHqjCIhAGAiQhQAXmFK8F1xwga8uIXzHjBljhS9p1K677jqbzitMmQpmzJhhcJwXL15sqMKGw02qMYQ64RmJGqKcdGU0smNwYM/bLr300i0qtfkCpheJgAiIQIkRkAAusQnVcEQgigQow8sBrQULFtgQhmSNOF6EL1kKEItO+FasWDF02OgnZYb5hwhG3JNVgdRviRq/I+euO7iHAEbQx1dmC91A1SEREAERKAABCeACQNctRUAEcktg1apVNiPEqFGjbNnd+LZu3TozevRo6xIjdvv27WszFIRR+CYjQ/GNKVOm2FLF8Y1UcJQc/vzzz80ee+xhf40ApnyzUpDldq3paiIgAqVBQAK4NOZRoxCByBPAzZ09e7YViM4FRvgiihG+HGhD+JLBoZiEr5tYhCyV76ZNm7bFXJ999tnmiCOOsCETriGAjzrqKHP11VdHfm0IgAiIgAjEE5AA1poQAREoCQJUG8MF5pAa+Wud8KVam3N8i/HgGpkuyKvLAb3p06eb+vXrl5mvjz76yBxzzDHm66+/NtWqVSsjgCdPnmw3A/vtt5/p2LGjLeeci3RxJbFgNAgREIFIE5AAjvT0a/AiUFoEunfvbqZOnWoPgnFwjKINl112WdFmbECsbt682Vaeo+AHJYnjY5w5vPfbb7/ZfMjehvtNAQoqtFGmmLRuHIJLFkNcWitBoxEBERCB8glIAGuFiIAIlAwByvU2aNDADBo0yPTu3dtmeCj2hpD94IMPrJjH4fWGQPC7Pffc07z88su2DHF5jfdR1IN4aTUREAERiDoBCeCorwCNXwRKjMAff/xRbiaIYh3u0qVLbYgHoQ6kfaNRlGPgwIGG3yVLjebGS6gEccJkwsBRVhMBERCBKBOQAI7y7GvsIiACRUPgn//8p6lZs6YVu2R3oDVv3twceOCBsdRn5Q0GsYyL/P333xfNmNVRERABEQiKgARwUGR1XREQARHIkACFOsjoQMYKRO+SJUvsATby+s6aNcteddOmTaZy5cpm4sSJ5pxzztniTlTII/6ZtGhz5861h+D69+9vevbsmWGv9DYREAERKB0CEsClM5caiQiIQIkQ2Lhxo83jS/YHyi8T8kAluGuvvTZWrY54ZzJCLFu2zIrk+Hbqqaeat956y/z++++mdu3aNiaaa6iJgAiIgAgYIwGsVSACIiACIiACIiACIhApAhLAkZpuDVYEREAEREAEREAEREACWGtABERABERABERABEQgUgQkgCM13RqsCIiACIiACIiACIiABLDWgAiIgAikIDBjxgyblWHx4sW2whyHyW699VazzTbb2Ly8lBqOb1999ZXN20tbsWKFoUrdCy+8YItztGvXztx55532/WoiIAIiIAL5JyABnH/muqMIiECRERgzZoypW7eu/YcIvuCCC0zr1q1tWWEngMmvS8qx+EZhjoYNG5qjjz7aljNGDLdo0cK0atXKDB06tMhIqLsiIAIiUBoEJIBLYx41ChEQgTwSGDFihJkyZYp54403rADef//9bV7eChUqbNGL2bNn23y+pCtzju/TTz9tc/RSljjRe/I4FN1KBERABCJJQAI4ktOuQYuACGRDYPDgweb9998306ZNswL4qKOOMj/99FPCS5J/d+XKlbZghWuUI95ll13MBx98YMsTq4mACIiACOSXgARwfnnrbiIgAkVMYM2aNbY4RZ8+fcz06dNtIQrnAG+99dY2PphwB0IdDj/8cDvSs88+275u0KBBZUa+++67m0mTJpkzzjijiImo6yIgAiJQnAQkgItz3tRrERCBPBNA4G7evNnstNNOVuB27drVbLXVVvZnCGMc3W+//dYebps6dar58MMPTbVq1UyTJk0MVdmuu+66Mj2uVauWuffee61AVhMBERABEcgvAQng/PLW3URABIqYwLp162zYQr9+/ay4JQQivv373/+2h+U6d+5sMz+ceeaZ5oQTTjA33nhjmZdyYO6xxx4zTZs2LWIi6roIiIAIFCcBCeDinDf1WgREoIAEli5dalOcEf6wzz77bNETMjzw82HDhlkh/Kc//cmMHj069rr169dbJ3nJkiXmgAMOKOBIdGsREAERiCYBCeBozrtGLQIikAWBf/7zn6ZmzZoGIUwog7f9/vvv5pBDDjG9evUy3bp1s4ffiP/9/PPPrRCmPffcc+aaa64xX375ZRa90FtFQAREQAQyJSABnCk5vU8ERCASBP71r3/ZIhikMkP04toiXnfYYQcza9Ys89RTT5mKFSuaRo0amR9//NH079/f/O1vf7OhEpUqVTIbNmywgvjCCy80AwYMMN98842N++3bt6+9ppoIiIAIiED+CUgA55+57igCIlBEBDZu3Gjat29vsz+sXbvWhjZQCe7aa6+1IhgBzH9zAK5q1aqmcePGtkpcjRo1YqP8+OOPTZcuXcxbb71lY4d79uxpevToUUQU1FUREAERKC0CEsClNZ8ajQiIgAiIgAiIgAiIQAoCEsBaIiIgAiIgAiIgAiIgApEiIAEcqenWYEVABERABERABERABCSAtQZEQAREQAREQAREQAQiRUACOFLTrcGKgAiIgAiIgAiIgAhIAGsNiIAIiIAIiIAIiIAIRIqABHCkpluDFQEREAEREAEREAERkADWGhABERABERABERABEYgUAQngSE23BisCIiACIiACIiACIiABrDUgAiIgAiIgAiIgAiIQKQISwJGabg1WBERABERABERABERAAlhrQAREQAREQAREQAREIFIEJIAjNd0arAiIgAiIgAiIgAiIgASw1oAIiIAIiIAIiIAIiECkCEgAR2q6NVgREAEREAEREAEREAEJYK0BERABERABERABERCBSBGQAI7UdGuwIiACIiACIiACIiACEsBaAyIgAiIgAiIgAiIgApEiIAEcqenWYEVABERABERABERABCSAtQZEQAREQAREQAREQAQiRUACOFLTrcGKgAiIgAiIgAiIgAhIAGsNiIAIiIAIiIAIiIAIRIqABHCkpluDFQEREAEREAEREAERkADWGhABERABERABERABEYgUAQngSE23BisCIiACIiACIiACIiABrDUgAiIgAiIgAiIgAiIQKQISwJGabg1WBERABERABERABERAAlhrQAREQAREQAREQAREIFIEJIAjNd0arAiIgAiIgAiIgAiIgASw1oAIiIAIiIAIiIAIiECkCEgAR2q6NVgREAEREAEREAEREAEJYK0BERABERABERABERCBSBGQAI7UdGuwIiACIiACIiACIiACEsBaAyIgAiIgAiIgAiIgApEiIAEcqenWYEVABERABERABERABCSAtQZEQAREQAREQAREQAQiRUACOFLTrcGKgAiIgAiIgAiIgAhIAGsNiIAIiIAIiIAIiIAIRIqABHCkpluDFQEREAEREAEREAERkADWGhABERABERABERABEYgUAQngSE23BisCIiACIiACIiACIiABrDUgAiIgAiIgAiIgAiIQKQISwJGabg1WBERABERABERABERAAlhrQAREQAREQAREQAREIFIEJIAjNd0arAiIgAiIgAiIgAiIgASw1oAIiIAIiIAIiIAIiECkCEgAR2q6NVgREAEREAEREAEREAEJYK0BERABERABERABERCBSBGQAI7UdGuwIiACIiACIiACIiACEsBaAyIgAiIgAiIgAiIgApEiIAEcqenWYEVABERABERABERABCSAtQZEQAREQAREQAREQAQiRUACOFLTrcGKgAiIgAiIgAiIgAhIAGsNiIAIiIAIiIAIiIAIRIqABHCkpluDFQEREAEREAEREAERkADWGhABERABERABERABEYgUAQngSE23BisCIiACIiACIiACIiABrDUgAiIgAiIgAiIgAiIQKQISwJGabg1WBERABERABERABERAAlhrQAREQAREQAREQAREIFIEJIAjNd0arAiIgAiIgAiIgAiIgASw1oAIiIAIiIAIiIAIiECkCEgAR2q6NVgREAEREAEREAEREAEJYK0BERABERABERABERCBSBGQAI7UdGuwIiACIiACIiACIiACEsBaAyIgAiIgAiIgAiIgApEiIAEcqenWYEVABERABERABERABCSAtQZEQAREQAREQAREQAQiRUACOFLTrcGKgAiIgAiIgAiIgAhIAGsNiIAIiIAIiIAIiIAIRIqABHCkpluDFQEREAEREAEREAERkADWGhABERABERABERABEYgUgf8DxBfEMYxG9PIAAAAASUVORK5CYII=\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<mpl_toolkits.mplot3d.art3d.Line3D at 0x2a62ab54c50>]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "ax.plot3D(totaltable['월소득'], totaltable['치킨'], totaltable['인구수'],'.',)"
   ]
  },
  {
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}