eda막하기.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyP8nA+eKLkR8UjKIqfB3dzw"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","source":[],"metadata":{"id":"fBCxAH9Oywhy"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"b9Q_VcU-ynbv"},"outputs":[],"source":["import numpy as np\n","import pandas as pd"]},{"cell_type":"code","source":["import os\n","\n","#현재 폴더 경로; 작업 폴더 기준\n","print(os.getcwd())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HMvfjpFQ9_JM","executionInfo":{"status":"ok","timestamp":1710244418827,"user_tz":-540,"elapsed":371,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"a9312142-a106-4e56-9d61-8ef7808ca636"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["/content\n"]}]},{"cell_type":"code","source":["# 아래는 Pandas를 사용하여 A 열로 그룹화하고 B, C, D 열에 따라 count하는 코드입니다.\n","\n","# 예제 데이터프레임 생성\n","\n","# A 컬럼으로 그룹화하고 B, C, D 컬럼에 대해 count\n","# extrc_word_nm : 둘레길 단어\n","# auser_sxdst_cd : 성별\n","# age_group_cd : 나이 그룹\n","# auser_ara_ctprv_nm : 거주지\n","# grouped = df.groupby('extrc_word_nm').agg({'auser_sxdst_cd': 'count', 'age_group_cd': 'count', 'auser_ara_ctprv_nm': 'count'}).reset_index()\n","# grouped.columns = ['extrc_word_nm', 'Count_sex', 'Count_age_group', 'Count_user_live']\n","\n","# 필터링\n","# filtered_df = df[(df['age_group_cd'] == 2) | (df['age_group_cd'] == 3)]\n","\n","# df: 둘레길\n","df = pd.read_csv('/content/sample_data/FPL010101txt.txt', encoding ='cp949')\n","\n","# 나이 그룹 별로 그룹화한 후에 count\n","grouped = df.groupby(['age_group_cd']).size().reset_index(name='count')\n","\n","print(grouped)\n","\n","# df1: 등산로\n","df1 = pd.read_csv('/content/sample_data/FPL020101txt.txt', encoding ='utf-8')\n","\n","\n","# df2: 산림체험\n","df2 = pd.read_csv('/content/sample_data/FPL060101txt.txt', encoding ='utf-8')\n","\n","# 나이 그룹 별로 그룹화한 후에 count\n","grouped2 = df2.groupby(['age_group_cd']).size().reset_index(name='count')\n","\n","print(grouped2)\n","\n","\n","\n","import matplotlib.pyplot as plt\n","\n","# 파이차트를 위한 데이터 준비\n","labels = grouped['age_group_cd']\n","sizes = grouped['count']\n","colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue', 'lightgrey']\n","explode = (0.1, 0, 0, 0, 0)  # 파이차트에서 특정 조각을 튀어나오게 만듭니다. 여기서는 첫 번째 값을 튀어나오게 합니다.\n","\n","# 파이차트 그리기\n","plt.figure(figsize=(8, 6))\n","plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n","plt.axis('equal')  # 파이차트가 원형이 되도록 설정합니다.\n","\n","# 제목 추가\n","plt.title('Dul-re-gil Age Group Distribution')\n","\n","# 그래프 보이기\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":724},"id":"_WNqt6mQAmOc","executionInfo":{"status":"ok","timestamp":1710137477681,"user_tz":-540,"elapsed":1150,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"8c4a691e-545b-45a0-c777-bc690367ad7e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["   age_group_cd  count\n","0             2   5417\n","1             3  12499\n","2             4  16451\n","3             5   9998\n","4             6      8\n","   age_group_cd  count\n","0             2   1278\n","1             3   4678\n","2             4   3051\n","3             5    959\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"Jfllem2VHthy"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 파이차트를 위한 데이터 준비\n","labels = grouped2['age_group_cd']\n","sizes = grouped2['count']\n","colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue', 'lightgrey']\n","explode = (0.1, 0, 0, 0 )  # 파이차트에서 특정 조각을 튀어나오게 만듭니다. 여기서는 첫 번째 값을 튀어나오게 합니다.\n","\n","# 파이차트 그리기\n","plt.figure(figsize=(8, 6))\n","plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n","plt.axis('equal')  # 파이차트가 원형이 되도록 설정합니다.\n","\n","# 제목 추가\n","plt.title('Che-hum Age Group Distribution')\n","\n","# 그래프 보이기\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":528},"id":"1dgALl0m8_yY","executionInfo":{"status":"ok","timestamp":1710117675587,"user_tz":-540,"elapsed":766,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"436c3b1a-9645-4363-cfde-08f9fe7c297a"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# chdrn_yn_nm : 자녀 유무\n","\n","filtered_df = df[(df['age_group_cd'] == 3)]\n","grouped = filtered_df.groupby(['chdrn_yn_nm']).size().reset_index(name='count')\n","\n","print(grouped)\n","\n","\n","filtered_df2 = df2[(df2['age_group_cd'] == 3)]\n","grouped2 = filtered_df2.groupby(['chdrn_yn_nm']).size().reset_index(name='count')\n","\n","print(grouped2)\n","\n","\n","# 파이차트를 위한 데이터 준비\n","labels = grouped['chdrn_yn_nm']\n","sizes = grouped['count']\n","colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue', 'lightgrey']\n","explode = (0.1, 0, 0 )  # 파이차트에서 특정 조각을 튀어나오게 만듭니다. 여기서는 첫 번째 값을 튀어나오게 합니다.\n","\n","# 파이차트 그리기\n","plt.figure(figsize=(8, 6))\n","plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n","plt.axis('equal')  # 파이차트가 원형이 되도록 설정합니다.\n","\n","# 제목 추가\n","plt.title('Dul-re-gil Age Group Distribution')\n","\n","# 그래프 보이기\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":856},"id":"pLVujYZh1klP","executionInfo":{"status":"ok","timestamp":1710121815487,"user_tz":-540,"elapsed":628,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"e3cb33f0-8802-4659-da7e-1870db210127"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["  chdrn_yn_nm  count\n","0               8313\n","1      자녀 없음    1326\n","2      자녀 있음    2860\n","  chdrn_yn_nm  count\n","0               2698\n","1      자녀 없음     580\n","2      자녀 있음    1400\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 51088 (\\N{HANGUL SYLLABLE JA}) missing from current font.\n","  fig.canvas.print_figure(bytes_io, **kw)\n","/usr/local/lib/python3.10/dist-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 45376 (\\N{HANGUL SYLLABLE NYEO}) missing from current font.\n","  fig.canvas.print_figure(bytes_io, **kw)\n","/usr/local/lib/python3.10/dist-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 50630 (\\N{HANGUL SYLLABLE EOBS}) missing from current font.\n","  fig.canvas.print_figure(bytes_io, **kw)\n","/usr/local/lib/python3.10/dist-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 51020 (\\N{HANGUL SYLLABLE EUM}) missing from current font.\n","  fig.canvas.print_figure(bytes_io, **kw)\n","/usr/local/lib/python3.10/dist-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 51080 (\\N{HANGUL SYLLABLE ISS}) missing from current font.\n","  fig.canvas.print_figure(bytes_io, **kw)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 파이차트를 위한 데이터 준비\n","labels = grouped2['chdrn_yn_nm']\n","sizes = grouped2['count']\n","colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue', 'lightgrey']\n","explode = (0.1, 0, 0 )  # 파이차트에서 특정 조각을 튀어나오게 만듭니다. 여기서는 첫 번째 값을 튀어나오게 합니다.\n","\n","# 파이차트 그리기\n","plt.figure(figsize=(8, 6))\n","plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n","plt.axis('equal')  # 파이차트가 원형이 되도록 설정합니다.\n","\n","# 제목 추가\n","plt.title('Che-hum Age Group Distribution')\n","\n","# 그래프 보이기\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":521},"id":"kMsTMQfZ13Ri","executionInfo":{"status":"ok","timestamp":1710121817295,"user_tz":-540,"elapsed":658,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"2ffa7eb3-8caa-4e77-dd47-3478c4725c65"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 차 종류 그룹 별로 그룹화한 후에 count\n","grouped = df.groupby(['car_group_nm']).size().reset_index(name='count')\n","\n","# 비율 계산\n","grouped['percentage'] = (grouped['count'] / grouped['count'].sum()) * 100\n","print(grouped)\n","\n","\n","\n","# 나이 그룹 별로 그룹화한 후에 count\n","grouped2 = df2.groupby(['car_group_nm']).size().reset_index(name='count')\n","\n","grouped2['percentage'] = (grouped2['count'] / grouped2['count'].sum()) * 100\n","\n","print(grouped2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MuYHqz7QHu0e","executionInfo":{"status":"ok","timestamp":1710120620372,"user_tz":-540,"elapsed":492,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"241babcf-bb6f-4e80-b770-9f85a65f0748"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["                        car_group_nm  count  percentage\n","0       MPV (카니발, 올란도, 피카소급, 오딧세이 등)    486    2.997779\n","1                     경차 (모닝, 스파크 등)   1769   10.911670\n","2            기타 (승합차/트럭/화물차/기타 차량 등)    454    2.800395\n","3         대형SUV (베라크루즈, 모하비, 투아렉급 등)    216    1.332346\n","4                대형차 (제너시스, BMW5급 등)    441    2.720207\n","5             소형SUV/CUV (티볼리, QM3 등)    436    2.689366\n","6       소형차 (액센트, 프라이드, 아베오, 피아트급 등)    756    4.663212\n","7     스포츠 (제네시스 쿠페, BMW M, 벤츠 AMG 등)     73    0.450284\n","8   준대형차 (그랜저, K7, 알페온, 캠리급, 파사트급 등)   1391    8.580064\n","9     준중형SUV (투싼, 스포티지, QM5, 티구안급 등)   1450    8.943992\n","10        준중형차 (아반떼, K3, 크루즈, 제타급 등)   3235   19.954355\n","11               준중형파생 (벨로스터, I30 등)     70    0.431779\n","12  중형SUV (싼타페, 쏘렌토, 캡티바, BMW X3급 등)   1649   10.171478\n","13         중형차 (쏘나타, K5, 말리부, 골프급 등)   3637   22.434000\n","14                      중형파생 (I40 등)     55    0.339255\n","15               프리미엄 (에쿠스, BMW7급 등)     94    0.579817\n","                        car_group_nm  count  percentage\n","0       MPV (카니발, 올란도, 피카소급, 오딧세이 등)     64    2.063850\n","1                     경차 (모닝, 스파크 등)    493   15.898097\n","2            기타 (승합차/트럭/화물차/기타 차량 등)     53    1.709126\n","3         대형SUV (베라크루즈, 모하비, 투아렉급 등)     46    1.483392\n","4                대형차 (제너시스, BMW5급 등)     72    2.321832\n","5             소형SUV/CUV (티볼리, QM3 등)     74    2.386327\n","6       소형차 (액센트, 프라이드, 아베오, 피아트급 등)    167    5.385360\n","7     스포츠 (제네시스 쿠페, BMW M, 벤츠 AMG 등)     10    0.322477\n","8   준대형차 (그랜저, K7, 알페온, 캠리급, 파사트급 등)    241    7.771687\n","9     준중형SUV (투싼, 스포티지, QM5, 티구안급 등)    230    7.416962\n","10        준중형차 (아반떼, K3, 크루즈, 제타급 등)    730   23.540793\n","11               준중형파생 (벨로스터, I30 등)     23    0.741696\n","12  중형SUV (싼타페, 쏘렌토, 캡티바, BMW X3급 등)    313   10.093518\n","13         중형차 (쏘나타, K5, 말리부, 골프급 등)    576   18.574653\n","14                      중형파생 (I40 등)      4    0.128991\n","15               프리미엄 (에쿠스, BMW7급 등)      5    0.161238\n"]}]},{"cell_type":"code","source":["# 직업 그룹 별로 그룹화한 후에 count\n","grouped = df.groupby(['auser_occpn_nm']).size().reset_index(name='count')\n","\n","# 비율 계산\n","grouped['percentage'] = (grouped['count'] / grouped['count'].sum()) * 100\n","print(grouped['count'].sum())\n","print(grouped)\n","\n","\n","\n","# 직업 그룹 별로 그룹화한 후에 count\n","grouped2 = df2.groupby(['occpn_nm']).size().reset_index(name='count')\n","\n","grouped2['percentage'] = (grouped2['count'] / grouped2['count'].sum()) * 100\n","print(grouped2['count'].sum())\n","print(grouped2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4xjmL1_WI2BD","executionInfo":{"status":"ok","timestamp":1710121524397,"user_tz":-540,"elapsed":345,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"d7c0cbed-fea9-44d2-aa81-f3f85b4b7178"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["26595\n","                     auser_occpn_nm  count  percentage\n","0               관리직 (사장, 간부, 고위공무원)    790    2.970483\n","1              교직 (교사, 유치원교사, 학원강사)   1564    5.880805\n","2      기능직 (자동차정비, 운전기사, 안경사, 택시기사)    645    2.425268\n","3                               기타    1093    4.109795\n","4   농/축/광/수산업 (축산, 낙농업, 수산, 임업, 광업)    108    0.406091\n","5                                무직   1235    4.643730\n","6            사무직 (일반사무직, 공무원, 직업군인)   8702   32.720436\n","7         생산/노무직 (생산감독, 경비원, 공장근로자)   1237    4.651250\n","8           서비스직 (요식업, 숙박업, 미용실종업원)    979    3.681143\n","9              자영업 (도소매업, 숙박업, 미용업)   1310    4.925738\n","10          전문직 (의사, 판검사, 예술가, 종교인)   2035    7.651814\n","11            주부 (전업주부, 파트타임 근무 주부)   4846   18.221470\n","12                         퇴직/연금생활자    101    0.379771\n","13           판매직 (상점점원, 보험설계사, 노점상)    609    2.289904\n","14            학생 (초중고학생, 대학생, 대학원생)   1341    5.042301\n","6430\n","                           occpn_nm  count  percentage\n","0               관리직 (사장, 간부, 고위공무원)     59    0.917574\n","1              교직 (교사, 유치원교사, 학원강사)    476    7.402799\n","2      기능직 (자동차정비, 운전기사, 안경사, 택시기사)     51    0.793157\n","3                               기타     247    3.841369\n","4   농/축/광/수산업 (축산, 낙농업, 수산, 임업, 광업)     15    0.233281\n","5                                무직    272    4.230171\n","6            사무직 (일반사무직, 공무원, 직업군인)   1981   30.808709\n","7         생산/노무직 (생산감독, 경비원, 공장근로자)    126    1.959565\n","8           서비스직 (요식업, 숙박업, 미용실종업원)    238    3.701400\n","9              자영업 (도소매업, 숙박업, 미용업)    188    2.923795\n","10          전문직 (의사, 판검사, 예술가, 종교인)    533    8.289269\n","11            주부 (전업주부, 파트타임 근무 주부)   1764   27.433904\n","12                         퇴직/연금생활자     13    0.202177\n","13           판매직 (상점점원, 보험설계사, 노점상)    141    2.192846\n","14            학생 (초중고학생, 대학생, 대학원생)    326    5.069984\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"Fao6NXGKNRQE"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 둘레길 - 소득 그룹 + 성별 별로 그룹화한 후에 count\n","grouped = df.groupby(['auser_sxdst_cd']).size().reset_index(name='count')\n","\n","# 비율 계산\n","grouped['percentage'] = (grouped['count'] / grouped['count'].sum()) * 100\n","print(grouped['count'].sum())\n","print(grouped)\n","\n","\n","\n","#  체험 - 소득 그룹 + 성별 별로 그룹화한 후에 count\n","grouped2 = df2.groupby(['auser_sxdst_cd']).size().reset_index(name='count')\n","\n","grouped2['percentage'] = (grouped2['count'] / grouped2['count'].sum()) * 100\n","print(grouped2['count'].sum())\n","print(grouped2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"YRANzGqwMKpM","executionInfo":{"status":"ok","timestamp":1710121872921,"user_tz":-540,"elapsed":3,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"d6295fb2-8c3f-4620-b969-81c1b68f8c8b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["44373\n","  auser_sxdst_cd  count  percentage\n","0              F  22133   49.879431\n","1              M  22240   50.120569\n","9966\n","  auser_sxdst_cd  count  percentage\n","0              F   8512   85.410395\n","1              M   1454   14.589605\n"]}]},{"cell_type":"markdown","source":["둘레길 코스에 관심이 있는 연령대 별로 묶은 자차를 가지고 있는 사람 수"],"metadata":{"id":"RMm5rvWqIa_F"}},{"cell_type":"code","source":["# NaN이 아닌 행만 필터링\n","car_exist_df = df.dropna(subset=['car_group_nm'])\n","\n","# 성별 및 나이별로 그룹화하고 카운트\n","car_exist_df = car_exist_df.groupby(['auser_sxdst_cd', 'age_group_cd']).size().reset_index(name='count')\n","\n","print(car_exist_df)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"t353Oy0xFDh6","executionInfo":{"status":"ok","timestamp":1710137263854,"user_tz":-540,"elapsed":311,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"0dedfe1b-d6ba-4507-cdaf-cf97317c26d4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["  auser_sxdst_cd  age_group_cd  count\n","0              F             2    241\n","1              F             3   2010\n","2              F             4   3082\n","3              F             5   1538\n","4              M             2    313\n","5              M             3   2579\n","6              M             4   4131\n","7              M             5   2310\n","8              M             6      8\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# 주어진 데이터\n","data = {\n","    'F': [826, 4981, 2961, 846, 10],\n","    'M': [453, 2056, 4024, 2505, 26]\n","}\n","age_groups = ['2', '3', '4', '5', '6']\n","colors = ['blue', 'orange']\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","for i, (gender, counts) in enumerate(data.items()):\n","    plt.bar([x + i * 0.2 for x in range(len(age_groups))], counts, color=colors[i], width=0.2, label=gender)\n","\n","plt.xlabel('Age Group')\n","plt.ylabel('Count')\n","plt.title('Interested in Dul-re-gil who have their own car')\n","plt.xticks([x + 0.2 for x in range(len(age_groups))], age_groups)\n","plt.legend()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"6I2CJX7SJ871","executionInfo":{"status":"ok","timestamp":1710137854628,"user_tz":-540,"elapsed":747,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"1378f6b6-6bf9-4151-c999-e6f0ff23efd8"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["등산로 코스에 관심이 있는 연령대 별로 묶은 사람 수"],"metadata":{"id":"iyXz11xUNpYf"}},{"cell_type":"code","source":["# 성별 및 나이별로 그룹화하고 카운트\n","tmp_df1 = df1.groupby(['auser_sxdst_cd', 'age_group_cd']).size().reset_index(name='count')\n","\n","print(tmp_df1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"avdSitItNqtx","executionInfo":{"status":"ok","timestamp":1710138798700,"user_tz":-540,"elapsed":3,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"15fd3d13-51a3-4af3-c16c-66237ca0ddb7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["   auser_sxdst_cd  age_group_cd  count\n","0               F             1     23\n","1               F             2   2663\n","2               F             3  10860\n","3               F             4   4802\n","4               F             5   1652\n","5               F             6     16\n","6               M             1      5\n","7               M             2    893\n","8               M             3   2448\n","9               M             4   4640\n","10              M             5   2664\n","11              M             6     26\n"]}]},{"cell_type":"code","source":["import numpy as np\n","import matplotlib.pyplot as plt\n","\n","# 바차트를 그리기 위한 데이터\n","labels = ['1', '2', '3', '4', '5', '6']  # 나이 그룹\n","count_f = [23, 2663, 10860, 4802, 1652, 16]  # Female 그룹의 카운트\n","count_m = [5, 893, 2448, 4640, 2664, 26]  # Male 그룹의 카운트\n","\n","x = np.arange(len(labels))  # 막대그래프의 x 좌표\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","width = 0.35  # 막대그래프의 너비\n","\n","plt.bar(x - width/2, count_f, width, color='lightcoral', label='Female')\n","plt.bar(x + width/2, count_m, width, color='lightblue', label='Male')\n","\n","plt.xlabel('Age Group')\n","plt.ylabel('Count')\n","plt.title('Count by Age Group and Gender')\n","plt.xticks(x, labels)  # x 축 눈금 설정\n","plt.legend()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"lD_DKGICN6lL","executionInfo":{"status":"ok","timestamp":1710138831849,"user_tz":-540,"elapsed":913,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"e5d1440c-1213-4470-bcdf-23fef77357de"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["등산로 코스에 관심이 있는 연령대 별로 묶은 자차를 가지고 있는 사람 수"],"metadata":{"id":"lUwDZgd2IdfT"}},{"cell_type":"code","source":["# NaN이 아닌 행만 필터링\n","car_exist_df1 = df1.dropna(subset=['car_group_nm'])\n","\n","# 성별 및 나이별로 그룹화하고 카운트\n","car_exist_df1 = car_exist_df1.groupby(['auser_sxdst_cd', 'age_group_cd']).size().reset_index(name='count')\n","\n","print(car_exist_df1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f9mkPkLKIEqX","executionInfo":{"status":"ok","timestamp":1710137484296,"user_tz":-540,"elapsed":358,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"0b1f93c3-1904-49c8-b2d6-285889784715"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["  auser_sxdst_cd  age_group_cd  count\n","0              F             2    826\n","1              F             3   4981\n","2              F             4   2961\n","3              F             5    846\n","4              F             6     10\n","5              M             2    453\n","6              M             3   2056\n","7              M             4   4024\n","8              M             5   2505\n","9              M             6     26\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# 데이터프레임 생성\n","data = {\n","    'F': [826, 4981, 2961, 846, 10],\n","    'M': [453, 2056, 4024, 2505, 26]\n","}\n","age_groups = ['2', '3', '4', '5', '6']\n","colors = ['blue', 'orange']\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","for i, (gender, counts) in enumerate(data.items()):\n","    plt.bar([x + i * 0.2 for x in range(len(age_groups))], counts, color=colors[i], width=0.2, label=gender)\n","\n","plt.xlabel('Age Group')\n","plt.ylabel('Count')\n","plt.title('Interested in hiking trail who have their own car')\n","plt.xticks([x + 0.2 for x in range(len(age_groups))], age_groups)\n","plt.legend()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"EVg4tJkSJlTr","executionInfo":{"status":"ok","timestamp":1710137745912,"user_tz":-540,"elapsed":735,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"c97f2c04-92c1-444a-e1ee-534767caca24"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["등산로에 관심이 있는 연령대 별로 묶은 자차를 가지고 있지 않은 사람 수"],"metadata":{"id":"7tleFA1tM1B2"}},{"cell_type":"code","source":["# NaN인 행만 필터링\n","car_not_exist_df1 = df1[df1['car_group_nm'].isna()]\n","\n","# 성별 및 나이별로 그룹화하고 카운트\n","car_not_exist_df1 = car_not_exist_df1.groupby(['auser_sxdst_cd', 'age_group_cd']).size().reset_index(name='count')\n","\n","print(car_not_exist_df1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aVefe6DWM0DN","executionInfo":{"status":"ok","timestamp":1710138652293,"user_tz":-540,"elapsed":306,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"0c789a13-1822-4124-ae67-3462c455d703"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["   auser_sxdst_cd  age_group_cd  count\n","0               F             1     23\n","1               F             2   1837\n","2               F             3   5879\n","3               F             4   1841\n","4               F             5    806\n","5               F             6      6\n","6               M             1      5\n","7               M             2    440\n","8               M             3    392\n","9               M             4    616\n","10              M             5    159\n"]}]},{"cell_type":"code","source":["import numpy as np\n","import matplotlib.pyplot as plt\n","\n","# 바차트를 그리기 위한 데이터\n","labels = ['1', '2', '3', '4', '5', '6']  # 나이 그룹\n","count_f = [23, 1837, 5879, 1841, 806, 6]  # Female 그룹의 카운트\n","count_m = [5, 440, 392, 616, 159, 0]  # Male 그룹의 카운트\n","\n","x = np.arange(len(labels))  # 막대그래프의 x 좌표\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","width = 0.35  # 막대그래프의 너비\n","\n","plt.bar(x - width/2, count_f, width, color='lightcoral', label='Female')\n","plt.bar(x + width/2, count_m, width, color='lightblue', label='Male')\n","\n","plt.xlabel('Age Group')\n","plt.ylabel('Count')\n","plt.title('Interested in hiking trail who doesn\\'t have their own car')\n","plt.xticks(x, labels)  # x 축 눈금 설정\n","plt.legend()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"yM2uJrPENYSN","executionInfo":{"status":"ok","timestamp":1710138723222,"user_tz":-540,"elapsed":780,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"18c26e0f-9a13-4df4-e506-74bf4560ce2c"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA1sAAAIjCAYAAAD1OgEdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABZKElEQVR4nO3deXgN9////8fJikQSSxapLUXtayhB7ISG1lalqqG0tEHRlnq3tXVRVNEFpa3oopZ+0Jai9n1NG2sFbZQiKJKIJSGZ3x/9Zb5OEyRkHMv9dl3nupyZ13nNc87MOfI4M/Mam2EYhgAAAAAAucrJ0QUAAAAAwP2IsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBeC+c/jwYdlsNkVFRd2w3Zo1a2Sz2bRmzZpcW7bNZlPfvn1v2i4qKko2m02HDx82p5UsWVKtW7fO1jJGjBhxG1Xenbp3766SJUvaTbNyXbt37y5PT09L+s6ORo0aqVGjRg5b/p2W8Xn7/vvvHV1KrmnUqJEqVaqUq32WLFlS3bt3z9U+ATgOYQu4C2X8Ib5jx44cv/bixYsaMWJErgYIq0yePPmmgQh3j+PHj2vEiBGKiYlxdClwgBEjRmQKw++9954WLlzokHruFPZ7ALfDxdEFAMhdFy9e1MiRIyXprv/VfPLkySpcuLDDfsVt0KCBLl26JDc3tzu+7G7duqlz585yd3fP8WsvXbokF5c7//V9/PhxjRw5UiVLllS1atVyvf/p06crPT091/uFdd577z117NhRbdu2dXQplrF6v/+v2NhYOTnxWzhwv+DTDCBbLly44OgScp2Tk5Py5MnjkD9snJ2dlSdPHtlsthy/Nk+ePA4JWzl18eLFHLV3dXW9pfAJ3E/c3d3l6up6wzb34/dxbuG9wd2GsAXcIzKuLzl27Jjatm0rT09P+fr66tVXX1VaWpqkf69V8vX1lSSNHDlSNpst0zUv+/fvV8eOHVWwYEHlyZNHNWvW1I8//mi3rIzTGNeuXauXXnpJfn5+Klq0qDl/yZIlCg0NlYeHh/Lnz6/w8HDt3bvXro/4+Hj16NFDRYsWlbu7u4oUKaInnnjCvEapZMmS2rt3r9auXWvWee2RuISEBA0YMEDFihWTu7u7SpcurTFjxmQ68pGQkKDu3bvL29tbPj4+ioiIUEJCQrbe06yu2cq4BmPfvn1q3Lix8uXLp4ceekhjx47NVp8ZFi5cqEqVKsnd3V0VK1bU0qVL7eZndc1WVmbOnCkXFxe99tpr5rT/btMRI0bIZrPp0KFD6t69u3x8fOTt7a0ePXpkCjyXLl1S//79VbhwYeXPn1+PP/64jh07dtNro9asWaNatWpJknr06GFus4zTQDPet+joaDVo0ED58uXT//73P0nSDz/8oPDwcAUGBsrd3V2lSpXS22+/be63GbK6ZutmDMNQ4cKFNWjQIHNaenq6fHx85OzsbLcvjBkzRi4uLkpOTrbr40afqQwXLlzQK6+8Yu6PZcuW1QcffCDDMLJV57Rp01SqVCnlzZtXjz76qNavX59lu1OnTqlnz57y9/dXnjx5VLVqVc2cOTNTu/T0dE2cOFEVK1ZUnjx55O/vr969e+vcuXN27Xbs2KGwsDAVLlxYefPmVVBQkJ577jlzfsb1jR988IFZo7u7u2rVqqXt27ffcJ1sNpsuXLigmTNnmvtDdo5Sp6en691331XRokWVJ08eNW3aVIcOHbJrs379ej355JMqXry43N3dVaxYMQ0cOFCXLl0y23zwwQey2Wz666+/Mi1j6NChcnNzs3s/tm7dqpYtW8rb21v58uVTw4YNtXHjxhvWerP9PkN2vi9SUlI0fPhwlS5d2lynwYMHKyUlxa7df6/Zutn3cVaysx/VqFFD7du3t5tWuXJl2Ww27dq1y5w2Z84c2Ww2/f7775Jy9n1zPVu3btVjjz2mAgUKyMPDQ1WqVNGkSZPM+bt27VL37t318MMPK0+ePAoICNBzzz2nM2fO2PWTUcu+ffv09NNPq0CBAqpfv362agDulLv/p1EAprS0NIWFhal27dr64IMPtGLFCo0fP16lSpXSiy++KF9fX02ZMkUvvvii2rVrZ/5HWqVKFUnS3r17Va9ePT300EN6/fXX5eHhoblz56pt27b6v//7P7Vr185ueS+99JJ8fX01bNgw89fCr7/+WhEREQoLC9OYMWN08eJFTZkyRfXr19dvv/1m/rHcoUMH7d27V/369VPJkiV16tQpLV++XEeOHFHJkiU1ceJE9evXT56ennrjjTckSf7+/pL+PSLSsGFDHTt2TL1791bx4sW1adMmDR06VCdOnNDEiRMl/fuH9hNPPKENGzaoT58+Kl++vBYsWKCIiIjbep/PnTunli1bqn379urUqZO+//57DRkyRJUrV1arVq1u+voNGzZo/vz5eumll5Q/f3599NFH6tChg44cOaJChQplu45p06apT58++t///qd33nnnpu07deqkoKAgjR49Wr/++qs+//xz+fn5acyYMWab7t27a+7cuerWrZvq1KmjtWvXKjw8/KZ9ly9fXqNGjdKwYcP0wgsvKDQ0VJJUt25ds82ZM2fUqlUrde7cWc8884y5PaOiouTp6alBgwbJ09NTq1at0rBhw5SUlKRx48Zl+/3Iis1mU7169bRu3Tpz2q5du5SYmCgnJydt3LjRXL/169erevXqdoNi3OwzJf27nz3++ONavXq1evbsqWrVqmnZsmV67bXXdOzYMU2YMOGGNX7xxRfq3bu36tatqwEDBujPP//U448/roIFC6pYsWJmu0uXLqlRo0Y6dOiQ+vbtq6CgIM2bN0/du3dXQkKCXn75ZbNt7969FRUVpR49eqh///6Ki4vTJ598ot9++00bN26Uq6urTp06pRYtWsjX11evv/66fHx8dPjwYc2fPz9TjbNmzdL58+fVu3dv2Ww2jR07Vu3bt9eff/553aMsX3/9tXr16qVHH31UL7zwgiSpVKlSN9tkev/99+Xk5KRXX31ViYmJGjt2rLp27aqtW7eabebNm6eLFy/qxRdfVKFChbRt2zZ9/PHH+vvvvzVv3jxJ/+7vgwcP1ty5c+1+jJCkuXPnqkWLFipQoIAkadWqVWrVqpWCg4M1fPhwOTk5acaMGWrSpInWr1+vRx99NMtas7PfZ+f7Ij09XY8//rg2bNigF154QeXLl9fu3bs1YcIEHThwIFvXvWX1fZyV7O5HoaGh+u6778zXnT17Vnv37pWTk5PWr19v/r+xfv16+fr6qnz58nbLyc73TVaWL1+u1q1bq0iRInr55ZcVEBCg33//XYsWLTJrW758uf7880/16NFDAQEB2rt3r6ZNm6a9e/dqy5Ytmc4IePLJJ1WmTBm999572f4BBLhjDAB3nRkzZhiSjO3bt5vTIiIiDEnGqFGj7NpWr17dCA4ONp+fPn3akGQMHz48U79NmzY1KleubFy+fNmclp6ebtStW9coU6ZMpuXXr1/fuHr1qjn9/Pnzho+Pj/H888/b9RsfH294e3ub08+dO2dIMsaNG3fD9axYsaLRsGHDTNPffvttw8PDwzhw4IDd9Ndff91wdnY2jhw5YhiGYSxcuNCQZIwdO9Zsc/XqVSM0NNSQZMyYMeOGy1+9erUhyVi9erU5rWHDhoYk46uvvjKnpaSkGAEBAUaHDh1u2J9hGIYkw83NzTh06JA5befOnYYk4+OPPzanZbzHcXFx5rQSJUoY4eHhhmEYxqRJkwybzWa8/fbbWS7j2u07fPhwQ5Lx3HPP2bVr166dUahQIfN5dHS0IckYMGCAXbvu3btfd5+51vbt26/7vma8b1OnTs007+LFi5mm9e7d28iXL5/dvhgREWGUKFHCrl126ho3bpzh7OxsJCUlGYZhGB999JFRokQJ49FHHzWGDBliGIZhpKWlGT4+PsbAgQPtlpedz1TGfvbOO+/YtevYsaNhs9nstvV/paamGn5+fka1atWMlJQUc/q0adMMSXb7/8SJEw1JxjfffGP3+pCQEMPT09Ncv/Xr1xuSjG+//dZuWUuXLrWbvmDBgkzfI/8VFxdnSDIKFSpknD171pz+ww8/GJKMn3766bqvNQzD8PDwMCIiIm7YJkPG5618+fJ278WkSZMMScbu3bvNaVntM6NHjzZsNpvx119/mdNCQkLstpVhGMa2bdvsPsPp6elGmTJljLCwMCM9Pd1uGUFBQUbz5s1vWHd29vubfV98/fXXhpOTk7F+/Xq710+dOtWQZGzcuNGcVqJECbv39Hrfx9eT3f1o3rx5hiRj3759hmEYxo8//mi4u7sbjz/+uPHUU0+Zr61SpYrRrl0783l2v2+ycvXqVSMoKMgoUaKEce7cObt5/902//Xdd98Zkox169ZlqqVLly43XC7gSJxGCNxj+vTpY/c8NDRUf/75501fd/bsWa1atUqdOnXS+fPn9c8//+iff/7RmTNnFBYWpoMHD+rYsWN2r3n++efl7OxsPl++fLkSEhLUpUsX8/X//POPnJ2dVbt2ba1evVqSlDdvXrm5uWnNmjWZTmvKjnnz5ik0NFQFChSwW06zZs2UlpZmHsX4+eef5eLiYh6BkP69Fqpfv345Xua1PD099cwzz5jP3dzc9Oijj2brfZakZs2a2f3CX6VKFXl5eWX79WPHjtXLL7+sMWPG6M0338x23VntG2fOnFFSUpIkmacyvvTSS3btbvf9yuDu7q4ePXpkmp43b17z3xn7XmhoqC5evKj9+/ff9nJDQ0OVlpamTZs2Sfr3l/jQ0FCFhoaap+vt2bNHCQkJ5pGJa93sM/Xzzz/L2dlZ/fv3t2v3yiuvyDAMLVmy5Lq17dixQ6dOnVKfPn3sBmLJOPX1Wj///LMCAgLUpUsXc5qrq6v69++v5ORkrV27VtK/nw9vb281b97c7vMRHBwsT09P83Po4+MjSVq0aJGuXLly3Rol6amnnjKPAmW8B5Kyvc/mRI8ePezei6yWde0+c+HCBf3zzz+qW7euDMPQb7/9Zld3dHS0/vjjD3PanDlz5O7urieeeEKSFBMTo4MHD+rpp5/WmTNnzPfrwoULatq0qdatW3dbA7Nk5/ti3rx5Kl++vMqVK2e3zZo0aSJJ5ja7kf9+H19PdvejjPc94/t0/fr1qlWrlpo3b25+bhISErRnz55sf26u/b7Jym+//aa4uDgNGDDA3D8zXHu06trtf/nyZf3zzz+qU6eOJOnXX3+9aS3A3YSwBdxD8uTJY16TlaFAgQLZCjSHDh2SYRh666235Ovra/cYPny4pH/P879WUFCQ3fODBw9Kkpo0aZKpj19++cV8vbu7u8aMGaMlS5bI399fDRo00NixYxUfH5+t9Tx48KCWLl2aaRnNmjWzq/Ovv/5SkSJFMt0rqWzZstlazvUULVo002kq2X2fJal48eKZpmX39WvXrtWQIUM0ZMiQTKdG5XS5GX88Zyz3r7/+kpOTU6btWrp06Rwt53oeeuihLEd23Lt3r9q1aydvb295eXnJ19fX/OM0MTHxtpdbo0YN5cuXz/wDMSNsNWjQQDt27NDly5fNef+9niM7n6m//vpLgYGByp8/v127jNOqsrpm6NrXSlKZMmXspru6uurhhx/O1LZMmTKZBmz573IOHjyoxMRE+fn5ZfqMJCcnm5+Phg0bqkOHDho5cqQKFy6sJ554QjNmzMh0jZB0830nN2VnWUeOHFH37t1VsGBB81q6hg0bSrLfZ5588kk5OTlpzpw5kv495XPevHlq1aqVvLy8JP2/762IiIhM79fnn3+ulJSU29oPs/N9cfDgQe3duzfT8h955BFJmb97s/Lfz+31ZHc/8vf3V5kyZbL83Bw/flx//vmnNm7cqPT09CzD1q3sMxmh+Gb3Jjt79qxefvll+fv7K2/evPL19TXXP6ttld33BnAErtkC7iHZ+VXzejJ+uX311VcVFhaWZZv//tF97a+L1/bx9ddfKyAgINPrrx0hb8CAAWrTpo0WLlyoZcuW6a233tLo0aO1atUqVa9e/aa1Nm/eXIMHD85yfsYfKFa53vtsZPNagNt5fcWKFZWQkKCvv/5avXv3ztEfEbdb9+367/4i/fvLeMOGDeXl5aVRo0apVKlSypMnj3799VcNGTIkV4Z6d3V1Ve3atbVu3TodOnRI8fHxCg0Nlb+/v65cuaKtW7dq/fr1KleuXKZgdTufKUdJT0+Xn5+fvv322yznZ6xjxg2Et2zZop9++knLli3Tc889p/Hjx2vLli12P1LcyX3nZstKS0tT8+bNdfbsWQ0ZMkTlypWTh4eHjh07pu7du9vtM4GBgQoNDdXcuXP1v//9T1u2bNGRI0fsrhvKaD9u3LjrDt1+Oze3zs57l56ersqVK+vDDz/Msu211+5dT1afr9tVv359rVy5UpcuXVJ0dLSGDRumSpUqycfHR+vXr9fvv/8uT0/PLL+zrdxnOnXqpE2bNum1115TtWrV5OnpqfT0dLVs2TLL7wwr3hsgtxC2gPvM9YYSz/gV3dXV1TxClFMZp8b5+fllq49SpUrplVde0SuvvKKDBw+qWrVqGj9+vL755psb1lqqVCklJyffdBklSpTQypUrlZycbPfHUmxsbHZX6a5TuHBhff/996pfv76aNm2qDRs2KDAwMFf6LlGihNLT0xUXF2d3pOW/I8Fdz60MU79mzRqdOXNG8+fPV4MGDczpcXFxOe7rRkJDQzVmzBitWLFChQsXVrly5WSz2VSxYkWtX79e69evV+vWrW+p7xIlSmjFihU6f/683dGtjFMgS5QoccPXSv8e2cg4ZUySrly5ori4OFWtWtWu7a5du5Senm53VOK/yylVqpRWrFihevXqZeuPzDp16qhOnTp69913NWvWLHXt2lWzZ89Wr169srP6N3Qr+8TN7N69WwcOHNDMmTP17LPPmtOXL1+eZfunnnpKL730kmJjYzVnzhzly5dPbdq0MednfG95eXnd0ndfbqxjqVKltHPnTjVt2tSS9+xa2d2PpH8/NzNmzNDs2bOVlpamunXrysnJSfXr1zfDVt26dXPtR4mMbbFnz57rbotz585p5cqVGjlypIYNG2ZOzzhCCdxrOI0QuM/ky5dPkjINf+7n56dGjRrps88+04kTJzK97vTp0zftOywsTF5eXnrvvfeyvAYko4+LFy/q8uXLdvNKlSql/Pnz253C5OHhkeUw7Z06ddLmzZu1bNmyTPMSEhJ09epVSdJjjz2mq1evasqUKeb8tLQ0ffzxxzddl7tZ0aJFtWLFCl26dEnNmzfPNNzxrco4ojl58mS76dl9vzw8PCRl3rduJOOPtGt/7U5NTc1Uw+0KDQ1VSkqKJk6cqPr165t/0IaGhurrr7/W8ePHszwVKjsee+wxpaWl6ZNPPrGbPmHCBNlsthuOUFmzZk35+vpq6tSpSk1NNadHRUVleh8fe+wxxcfHm6fESdLVq1f18ccfy9PT0zyNrlOnTkpLS9Pbb7+daXlXr141+z137lymowwZR3ayOpXwVlzvM3w7stpnDMOwGxr8Wh06dJCzs7O+++47zZs3T61btzb3VUkKDg5WqVKl9MEHH2Qa9l+6+Xffrez3/9WpUycdO3ZM06dPzzTv0qVLuXpvqOzuR9L/u25rzJgxqlKlinkdYWhoqFauXKkdO3bc8ucmKzVq1FBQUJAmTpyY6f3M2N5ZbX9J5ii0wL2GI1vAfSZv3ryqUKGC5syZo0ceeUQFCxZUpUqVVKlSJX366aeqX7++KleurOeff14PP/ywTp48qc2bN+vvv//Wzp07b9i3l5eXpkyZom7duqlGjRrq3LmzfH19deTIES1evFj16tXTJ598ogMHDqhp06bq1KmTKlSoIBcXFy1YsEAnT55U586dzf6Cg4M1ZcoUvfPOOypdurT8/PzUpEkTvfbaa/rxxx/VunVrde/eXcHBwbpw4YJ2796t77//XocPH1bhwoXVpk0b1atXT6+//roOHz6sChUqaP78+blyHZCjlS5dWr/88osaNWqksLAwrVq1yrwG5VYFBwerQ4cOmjhxos6cOWMO/X7gwAFJN/8Fv1SpUvLx8dHUqVOVP39+eXh4qHbt2jc81bFu3boqUKCAIiIi1L9/f9lsNn399de5fnpaSEiIXFxcFBsbaw5DLkkNGjQww/it/tHYpk0bNW7cWG+88YYOHz6sqlWr6pdfftEPP/ygAQMG3HC4c1dXV73zzjvq3bu3mjRpoqeeekpxcXGaMWNGpmu2XnjhBX322Wfq3r27oqOjVbJkSX3//ffauHGjJk6caB5Va9iwoXr37q3Ro0crJiZGLVq0kKurqw4ePKh58+Zp0qRJ6tixo2bOnKnJkyerXbt2KlWqlM6fP6/p06fLy8tLjz322C29F/8VHBysFStW6MMPP1RgYKCCgoJUu3bt2+qzXLlyKlWqlF599VUdO3ZMXl5e+r//+7/rXgvk5+enxo0b68MPP9T58+f11FNP2c13cnLS559/rlatWqlixYrq0aOHHnroIR07dkyrV6+Wl5eXfvrpp+vWcyv7/X9169ZNc+fOVZ8+fbR69WrVq1dPaWlp2r9/v+bOnatly5apZs2a2e7vRrK7H0n/fs8EBAQoNjbWbqCcBg0aaMiQIZJu/XOTFScnJ02ZMkVt2rRRtWrV1KNHDxUpUkT79+/X3r17tWzZMnl5eZnX+V65ckUPPfSQfvnll1w/Gg7cMXd6+EMAN3e9od89PDwytc0Y+vZamzZtMoKDgw03N7dMQ2f/8ccfxrPPPmsEBAQYrq6uxkMPPWS0bt3a+P7772+4/GutXr3aCAsLM7y9vY08efIYpUqVMrp3727s2LHDMAzD+Oeff4zIyEijXLlyhoeHh+Ht7W3Url3bmDt3rl0/8fHxRnh4uJE/f/5Mw2CfP3/eGDp0qFG6dGnDzc3NKFy4sFG3bl3jgw8+MFJTU812Z86cMbp162Z4eXkZ3t7eRrdu3YzffvvttoZ+r1ixYqa2WQ1LnhVJRmRkZKbp1xvO+XpDv2fYunWrkT9/fqNBgwbmcMj/3aYZ+8Dp06ftXpvVMi5cuGBERkYaBQsWNDw9PY22bdsasbGxhiTj/fffv+n6/fDDD0aFChUMFxcXu/f4eu+bYRjGxo0bjTp16hh58+Y1AgMDjcGDBxvLli3L9N7f6tDvGWrVqmVIMrZu3WpO+/vvvw1JRrFixTK1z8ln6vz588bAgQONwMBAw9XV1ShTpowxbtw4u+Gqb2Ty5MlGUFCQ4e7ubtSsWdNYt26d0bBhw0y3Pjh58qTRo0cPo3Dhwoabm5tRuXLl6+7H06ZNM4KDg428efMa+fPnNypXrmwMHjzYOH78uGEYhvHrr78aXbp0MYoXL264u7sbfn5+RuvWrc3PqWH8v6Hfs7pNQ3be+/379xsNGjQw8ubNa0i64TDwGZ+3efPm2U3PqOHa9dy3b5/RrFkzw9PT0yhcuLDx/PPPm7dQyOr9mD59uiHJyJ8/v3Hp0qUsl//bb78Z7du3NwoVKmS4u7sbJUqUMDp16mSsXLnyhutoGDnf77Pal1NTU40xY8YYFStWNNzd3Y0CBQoYwcHBxsiRI43ExESz3fW+K240hP9/5WQ/evLJJw1Jxpw5c+xqzZcvn+Hm5pbp/czJ9831bNiwwWjevLmRP39+w8PDw6hSpYrdrTH+/vtvo127doaPj4/h7e1tPPnkk8bx48ez/d0H3E1shsHd3wDgQRYTE6Pq1avrm2++UdeuXR1dDgAA9w2u2QKAB8ilS5cyTZs4caKcnJzsBrAAAAC3j2u2AOABMnbsWEVHR6tx48ZycXHRkiVLtGTJEr3wwgvZGn4aAABkH6cRAsADZPny5Ro5cqT27dun5ORkFS9eXN26ddMbb7xhd580AABw+whbAAAAAGABrtkCAAAAAAsQtgAAAADAApygnw3p6ek6fvy48ufPf9ObfgIAAAC4fxmGofPnzyswMFBOTjc+dkXYyobjx48zShcAAAAA09GjR1W0aNEbtiFsZUP+/Pkl/fuGenl5ObgaAAAAAI6SlJSkYsWKmRnhRghb2ZBx6qCXlxdhCwAAAEC2Li9igAwAAAAAsABhCwAAAAAsQNgCAAAAAAtwzRYAAABwlzAMQ1evXlVaWpqjS3mgubq6ytnZ+bb7IWwBAAAAd4HU1FSdOHFCFy9edHQpDzybzaaiRYvK09PztvohbAEAAAAOlp6erri4ODk7OyswMFBubm7ZGu0Ouc8wDJ0+fVp///23ypQpc1tHuBweto4dO6YhQ4ZoyZIlunjxokqXLq0ZM2aoZs2akv5d2eHDh2v69OlKSEhQvXr1NGXKFJUpU8bs4+zZs+rXr59++uknOTk5qUOHDpo0aZJdEt21a5ciIyO1fft2+fr6ql+/fho8ePAdX18AAADgv1JTU5Wenq5ixYopX758ji7ngefr66vDhw/rypUrtxW2HDpAxrlz51SvXj25urpqyZIl2rdvn8aPH68CBQqYbcaOHauPPvpIU6dO1datW+Xh4aGwsDBdvnzZbNO1a1ft3btXy5cv16JFi7Ru3Tq98MIL5vykpCS1aNFCJUqUUHR0tMaNG6cRI0Zo2rRpd3R9AQAAgBtxcmL8urtBbh1VtBmGYeRKT7fg9ddf18aNG7V+/fos5xuGocDAQL3yyit69dVXJUmJiYny9/dXVFSUOnfurN9//10VKlTQ9u3bzaNhS5cu1WOPPaa///5bgYGBmjJlit544w3Fx8fLzc3NXPbChQu1f//+m9aZlJQkb29vJSYmclNjAAAA5LrLly8rLi5OQUFBypMnj6PLeeDdaHvkJBs4NDr/+OOPqlmzpp588kn5+fmpevXqmj59ujk/Li5O8fHxatasmTnN29tbtWvX1ubNmyVJmzdvlo+Pjxm0JKlZs2ZycnLS1q1bzTYNGjQwg5YkhYWFKTY2VufOnctUV0pKipKSkuweAAAAAJATDr1m688//9SUKVM0aNAg/e9//9P27dvVv39/ubm5KSIiQvHx8ZIkf39/u9f5+/ub8+Lj4+Xn52c338XFRQULFrRrExQUlKmPjHnXnrYoSaNHj9bIkSNzb0UBAACAW5R4h/8u9R4+/I4uzwolS5bUgAEDNGDAAIfW4dAjW+np6apRo4bee+89Va9eXS+88IKef/55TZ061ZFlaejQoUpMTDQfR48edWg9AAAAwN2qe/fustlsmR6HDh1ydGkO59CwVaRIEVWoUMFuWvny5XXkyBFJUkBAgCTp5MmTdm1OnjxpzgsICNCpU6fs5l+9elVnz561a5NVH9cu41ru7u7y8vKyewAAAADIWsuWLXXixAm7x3/PLHsQOTRs1atXT7GxsXbTDhw4oBIlSkiSgoKCFBAQoJUrV5rzk5KStHXrVoWEhEiSQkJClJCQoOjoaLPNqlWrlJ6ertq1a5tt1q1bpytXrphtli9frrJly2Y6hRAAAABAzri7uysgIMDu4ezsrB9++EE1atRQnjx59PDDD2vkyJG6evWq+TqbzabPPvtMrVu3Vr58+VS+fHlt3rxZhw4dUqNGjeTh4aG6devqjz/+MF/zxx9/6IknnpC/v788PT1Vq1YtrVix4ob1JSQkqFevXvL19ZWXl5eaNGminTt3WvZ+ZHBo2Bo4cKC2bNmi9957T4cOHdKsWbM0bdo0RUZGSvr3zR8wYIDeeecd/fjjj9q9e7eeffZZBQYGqm3btpL+PRLWsmVLPf/889q2bZs2btyovn37qnPnzgoMDJQkPf3003Jzc1PPnj21d+9ezZkzR5MmTdKgQYMcteoAAADAfW39+vV69tln9fLLL2vfvn367LPPFBUVpXfffdeu3dtvv61nn31WMTExKleunJ5++mn17t1bQ4cO1Y4dO2QYhvr27Wu2T05O1mOPPaaVK1fqt99+U8uWLdWmTRvz7LisPPnkkzp16pSWLFmi6Oho1ahRQ02bNtXZs2ctW3/JwQNk1KpVSwsWLNDQoUM1atQoBQUFaeLEieratavZZvDgwbpw4YJeeOEFJSQkqH79+lq6dKndEIzffvut+vbtq6ZNm5o3Nf7oo4/M+d7e3vrll18UGRmp4OBgFS5cWMOGDbO7FxcAAACAW7No0SJ5enqaz1u1aqVz587p9ddfV0REhCTp4Ycf1ttvv63Bgwdr+DWDcPTo0UOdOnWSJA0ZMkQhISF66623FBYWJkl6+eWX1aNHD7N91apVVbVqVfP522+/rQULFujHH3+0C2UZNmzYoG3btunUqVNyd3eXJH3wwQdauHChvv/+e0szgUPDliS1bt1arVu3vu58m82mUaNGadSoUddtU7BgQc2aNeuGy6lSpcp17+cFAAAA4NY1btxYU6ZMMZ97eHioSpUq2rhxo92RrLS0NF2+fFkXL15Uvnz5JP37d3qGjBHDK1eubDft8uXLSkpKkpeXl5KTkzVixAgtXrxYJ06c0NWrV3Xp0qXrHtnauXOnkpOTVahQIbvply5dsjs90QoOD1sAAAAA7m0eHh4qXbq03bTk5GSNHDlS7du3z9T+2rPUXF1dzX/bbLbrTktPT5ckvfrqq1q+fLk++OADlS5dWnnz5lXHjh2VmpqaZW3JyckqUqSI1qxZk2mej49P9lbwFhG2AAAAAOS6GjVqKDY2NlMIu10bN25U9+7d1a5dO0n/hqnDhw/fsI74+Hi5uLioZMmSuVrLzRC2AOAucqdvXHk77oebXgIArDNs2DC1bt1axYsXV8eOHeXk5KSdO3dqz549euedd2653zJlymj+/Plq06aNbDab3nrrLfOoV1aaNWumkJAQtW3bVmPHjtUjjzyi48ePa/HixWrXrp1q1qx5y7XcDGELAAAAuIvdqz9uhYWFadGiRRo1apTGjBkjV1dXlStXTr169bqtfj/88EM999xzqlu3rgoXLqwhQ4YoKSnpuu1tNpt+/vlnvfHGG+rRo4dOnz6tgIAANWjQwLxGzCo2wzAMS5dwH0hKSpK3t7cSExO5wTEAS3FkCwAeTJcvX1ZcXJyCgoLsrmeCY9xoe+QkGzj0PlsAAAAAcL8ibAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFnBxdAEAAAAArm9+7Ik7urz2ZYvc0eVd6/DhwwoKCtJvv/2matWqOayO3MKRLQAAAAC3rHv37rLZbOrTp0+meZGRkbLZbOrevfudL+wuQNgCAAAAcFuKFSum2bNn69KlS+a0y5cva9asWSpevLgDK3MswhYAAACA21KjRg0VK1ZM8+fPN6fNnz9fxYsXV/Xq1c1pS5cuVf369eXj46NChQqpdevW+uOPP27Y9549e9SqVSt5enrK399f3bp10z///GPZuuQmwhYAAACA2/bcc89pxowZ5vMvv/xSPXr0sGtz4cIFDRo0SDt27NDKlSvl5OSkdu3aKT09Pcs+ExIS1KRJE1WvXl07duzQ0qVLdfLkSXXq1MnSdcktDJABAAAA4LY988wzGjp0qP766y9J0saNGzV79mytWbPGbNOhQwe713z55Zfy9fXVvn37VKlSpUx9fvLJJ6pevbree+89u9cUK1ZMBw4c0COPPGLNyuQSwhYAAACA2+br66vw8HBFRUXJMAyFh4ercOHCdm0OHjyoYcOGaevWrfrnn3/MI1pHjhzJMmzt3LlTq1evlqenZ6Z5f/zxB2ELAAAAwIPhueeeU9++fSVJn376aab5bdq0UYkSJTR9+nQFBgYqPT1dlSpVUmpqapb9JScnq02bNhozZkymeUWKOG6I+uwibAEAAADIFS1btlRqaqpsNpvCwsLs5p05c0axsbGaPn26QkNDJUkbNmy4YX81atTQ//3f/6lkyZJycbn3ogsDZAAAAADIFc7Ozvr999+1b98+OTs7280rUKCAChUqpGnTpunQoUNatWqVBg0adMP+IiMjdfbsWXXp0kXbt2/XH3/8oWXLlqlHjx5KS0uzclVyxb0XDwEAAIAHSPuyd//pctfy8vLKcrqTk5Nmz56t/v37q1KlSipbtqw++ugjNWrU6Lp9BQYGauPGjRoyZIhatGihlJQUlShRQi1btpST091/3IiwBQAAAOCWRUVF3XD+woULzX83a9ZM+/bts5tvGIb575IlS9o9l6QyZcrY3b/rXnL3x0EAAAAAuAcRtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAO4S/x0cAo6RW9uBsAUAAAA4mKurqyTp4sWLDq4EkpSamipJme4VllMM/Q4AAAA4mLOzs3x8fHTq1ClJUr58+WSz2Rxc1YMpPT1dp0+fVr58+eTicntxibAFAAAA3AUCAgIkyQxccBwnJycVL178tgMvYQsAAAC4C9hsNhUpUkR+fn66cuWKo8t5oLm5ucnJ6favuCJsAQAAAHcRZ2fn275WCHcHBsgAAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALODQsDVixAjZbDa7R7ly5cz5ly9fVmRkpAoVKiRPT0916NBBJ0+etOvjyJEjCg8PV758+eTn56fXXntNV69etWuzZs0a1ahRQ+7u7ipdurSioqLuxOoBAAAAeIA5/MhWxYoVdeLECfOxYcMGc97AgQP1008/ad68eVq7dq2OHz+u9u3bm/PT0tIUHh6u1NRUbdq0STNnzlRUVJSGDRtmtomLi1N4eLgaN26smJgYDRgwQL169dKyZcvu6HoCAAAAeLC4OLwAFxcFBARkmp6YmKgvvvhCs2bNUpMmTSRJM2bMUPny5bVlyxbVqVNHv/zyi/bt26cVK1bI399f1apV09tvv60hQ4ZoxIgRcnNz09SpUxUUFKTx48dLksqXL68NGzZowoQJCgsLu6PrCgAAAODB4fAjWwcPHlRgYKAefvhhde3aVUeOHJEkRUdH68qVK2rWrJnZtly5cipevLg2b94sSdq8ebMqV64sf39/s01YWJiSkpK0d+9es821fWS0yegjKykpKUpKSrJ7AAAAAEBOODRs1a5dW1FRUVq6dKmmTJmiuLg4hYaG6vz584qPj5ebm5t8fHzsXuPv76/4+HhJUnx8vF3QypifMe9GbZKSknTp0qUs6xo9erS8vb3NR7FixXJjdQEAAAA8QBx6GmGrVq3Mf1epUkW1a9dWiRIlNHfuXOXNm9dhdQ0dOlSDBg0ynyclJRG4AAAAAOSIw08jvJaPj48eeeQRHTp0SAEBAUpNTVVCQoJdm5MnT5rXeAUEBGQanTDj+c3aeHl5XTfQubu7y8vLy+4BAAAAADlxV4Wt5ORk/fHHHypSpIiCg4Pl6uqqlStXmvNjY2N15MgRhYSESJJCQkK0e/dunTp1ymyzfPlyeXl5qUKFCmaba/vIaJPRBwAAAABYwaFh69VXX9XatWt1+PBhbdq0Se3atZOzs7O6dOkib29v9ezZU4MGDdLq1asVHR2tHj16KCQkRHXq1JEktWjRQhUqVFC3bt20c+dOLVu2TG+++aYiIyPl7u4uSerTp4/+/PNPDR48WPv379fkyZM1d+5cDRw40JGrDgAAAOA+59Brtv7++2916dJFZ86cka+vr+rXr68tW7bI19dXkjRhwgQ5OTmpQ4cOSklJUVhYmCZPnmy+3tnZWYsWLdKLL76okJAQeXh4KCIiQqNGjTLbBAUFafHixRo4cKAmTZqkokWL6vPPP2fYdwAAAACWshmGYTi6iLtdUlKSvL29lZiYyPVbACyVOHKko0vINu/hwx1dAgAAd1xOssFddc0WAAAAANwvCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABY4K4JW++//75sNpsGDBhgTrt8+bIiIyNVqFAheXp6qkOHDjp58qTd644cOaLw8HDly5dPfn5+eu2113T16lW7NmvWrFGNGjXk7u6u0qVLKyoq6g6sEQAAAIAH2V0RtrZv367PPvtMVapUsZs+cOBA/fTTT5o3b57Wrl2r48ePq3379ub8tLQ0hYeHKzU1VZs2bdLMmTMVFRWlYcOGmW3i4uIUHh6uxo0bKyYmRgMGDFCvXr20bNmyO7Z+AAAAAB48Dg9bycnJ6tq1q6ZPn64CBQqY0xMTE/XFF1/oww8/VJMmTRQcHKwZM2Zo06ZN2rJliyTpl19+0b59+/TNN9+oWrVqatWqld5++219+umnSk1NlSRNnTpVQUFBGj9+vMqXL6++ffuqY8eOmjBhgkPWFwAAAMCDweFhKzIyUuHh4WrWrJnd9OjoaF25csVuerly5VS8eHFt3rxZkrR582ZVrlxZ/v7+ZpuwsDAlJSVp7969Zpv/9h0WFmb2kZWUlBQlJSXZPQAAAAAgJ1wcufDZs2fr119/1fbt2zPNi4+Pl5ubm3x8fOym+/v7Kz4+3mxzbdDKmJ8x70ZtkpKSdOnSJeXNmzfTskePHq2RI0fe8noBAAAAgMOObB09elQvv/yyvv32W+XJk8dRZWRp6NChSkxMNB9Hjx51dEkAAAAA7jEOC1vR0dE6deqUatSoIRcXF7m4uGjt2rX66KOP5OLiIn9/f6WmpiohIcHudSdPnlRAQIAkKSAgINPohBnPb9bGy8sry6NakuTu7i4vLy+7BwAAAADkhMPCVtOmTbV7927FxMSYj5o1a6pr167mv11dXbVy5UrzNbGxsTpy5IhCQkIkSSEhIdq9e7dOnTpltlm+fLm8vLxUoUIFs821fWS0yegDAAAAAKzgsGu28ufPr0qVKtlN8/DwUKFChczpPXv21KBBg1SwYEF5eXmpX79+CgkJUZ06dSRJLVq0UIUKFdStWzeNHTtW8fHxevPNNxUZGSl3d3dJUp8+ffTJJ59o8ODBeu6557Rq1SrNnTtXixcvvrMrDAAAAOCB4tABMm5mwoQJcnJyUocOHZSSkqKwsDBNnjzZnO/s7KxFixbpxRdfVEhIiDw8PBQREaFRo0aZbYKCgrR48WINHDhQkyZNUtGiRfX5558rLCzMEasEAAAA4AFhMwzDcHQRd7ukpCR5e3srMTGR67cAWCrxHhoJ1Xv4cEeXAADAHZeTbODw+2wBAAAAwP2IsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGCBWwpbDz/8sM6cOZNpekJCgh5++OHbLgoAAAAA7nW3FLYOHz6stLS0TNNTUlJ07Nix2y4KAAAAAO51Ljlp/OOPP5r/XrZsmby9vc3naWlpWrlypUqWLJlrxQEAAADAvSpHYatt27aSJJvNpoiICLt5rq6uKlmypMaPH59rxQEAAADAvSpHYSs9PV2SFBQUpO3bt6tw4cKWFAUAAAAA97ocha0McXFxuV0HAAAAANxXbilsSdLKlSu1cuVKnTp1yjzileHLL7+87cIAAAAA4F52S2Fr5MiRGjVqlGrWrKkiRYrIZrPldl0AAAAAcE+7pbA1depURUVFqVu3brldDwAAAADcF27pPlupqamqW7dubtcCAAAAAPeNWwpbvXr10qxZs3K7FgAAAAC4b9zSaYSXL1/WtGnTtGLFClWpUkWurq528z/88MNcKQ4AAAAA7lW3FLZ27dqlatWqSZL27NljN4/BMgAAAADgFsPW6tWrc7sOAAAAALiv3NI1WwAAAACAG7ulI1uNGze+4emCq1atuuWCAAAAAOB+cEthK+N6rQxXrlxRTEyM9uzZo4iIiNyoCwAAAADuabcUtiZMmJDl9BEjRig5Ofm2CgIAAACA+0GuXrP1zDPP6Msvv8zNLgEAAADgnpSrYWvz5s3KkydPbnYJAAAAAPekWwpb7du3t3u0a9dOderUUY8ePdS7d+9s9zNlyhRVqVJFXl5e8vLyUkhIiJYsWWLOv3z5siIjI1WoUCF5enqqQ4cOOnnypF0fR44cUXh4uPLlyyc/Pz+99tprunr1ql2bNWvWqEaNGnJ3d1fp0qUVFRV1K6sNAAAAANl2S2HL29vb7lGwYEE1atRIP//8s4YPH57tfooWLar3339f0dHR2rFjh5o0aaInnnhCe/fulSQNHDhQP/30k+bNm6e1a9fq+PHjat++vfn6tLQ0hYeHKzU1VZs2bdLMmTMVFRWlYcOGmW3i4uIUHh6uxo0bKyYmRgMGDFCvXr20bNmyW1l1AAAAAMgWm2EYhqOLuFbBggU1btw4dezYUb6+vpo1a5Y6duwoSdq/f7/Kly+vzZs3q06dOlqyZIlat26t48ePy9/fX5I0depUDRkyRKdPn5abm5uGDBmixYsXa8+ePeYyOnfurISEBC1dujRbNSUlJcnb21uJiYny8vLK/ZUGgP9f4siRji4h27xz8OMaAAD3i5xkg9u6Zis6OlrffPONvvnmG/3222+305XS0tI0e/ZsXbhwQSEhIYqOjtaVK1fUrFkzs025cuVUvHhxbd68WdK/14hVrlzZDFqSFBYWpqSkJPPo2ObNm+36yGiT0UdWUlJSlJSUZPcAAAAAgJy4paHfT506pc6dO2vNmjXy8fGRJCUkJKhx48aaPXu2fH19s93X7t27FRISosuXL8vT01MLFixQhQoVFBMTIzc3N7P/DP7+/oqPj5ckxcfH2wWtjPkZ827UJikpSZcuXVLevHkz1TR69GiNvId+XQYAAABw97mlI1v9+vXT+fPntXfvXp09e1Znz57Vnj17lJSUpP79++eor7JlyyomJkZbt27Viy++qIiICO3bt+9Wyso1Q4cOVWJiovk4evSoQ+sBAAAAcO+5pSNbS5cu1YoVK1S+fHlzWoUKFfTpp5+qRYsWOerLzc1NpUuXliQFBwdr+/btmjRpkp566imlpqYqISHB7ujWyZMnFRAQIEkKCAjQtm3b7PrLGK3w2jb/HcHw5MmT8vLyyvKoliS5u7vL3d09R+sBAAAAANe6pSNb6enpcnV1zTTd1dVV6enpt1VQenq6UlJSFBwcLFdXV61cudKcFxsbqyNHjigkJESSFBISot27d+vUqVNmm+XLl8vLy0sVKlQw21zbR0abjD4AAAAAwAq3FLaaNGmil19+WcePHzenHTt2TAMHDlTTpk2z3c/QoUO1bt06HT58WLt379bQoUO1Zs0ade3aVd7e3urZs6cGDRqk1atXKzo6Wj169FBISIjq1KkjSWrRooUqVKigbt26aefOnVq2bJnefPNNRUZGmkem+vTpoz///FODBw/W/v37NXnyZM2dO1cDBw68lVUHAAAAgGy5pdMIP/nkEz3++OMqWbKkihUrJkk6evSoKlWqpG+++Sbb/Zw6dUrPPvusTpw4IW9vb1WpUkXLli1T8+bNJUkTJkyQk5OTOnTooJSUFIWFhWny5Mnm652dnbVo0SK9+OKLCgkJkYeHhyIiIjRq1CizTVBQkBYvXqyBAwdq0qRJKlq0qD7//HOFhYXdyqoDAAAAQLbc8n22DMPQihUrtH//fklS+fLlMw2xfr/gPlsA7hTuswUAwN3NsvtsrVq1ShUqVFBSUpJsNpuaN2+ufv36qV+/fqpVq5YqVqyo9evX31bxAAAAAHA/yFHYmjhxop5//vksE5y3t7d69+6tDz/8MNeKAwAAAIB7VY7C1s6dO9WyZcvrzm/RooWio6NvuygAAAAAuNflKGydPHkyyyHfM7i4uOj06dO3XRQAAAAA3OtyFLYeeugh7dmz57rzd+3apSJFitx2UQAAAABwr8tR2Hrsscf01ltv6fLly5nmXbp0ScOHD1fr1q1zrTgAAAAAuFfl6D5bb775pubPn69HHnlEffv2VdmyZSVJ+/fv16effqq0tDS98cYblhQKAAAAAPeSHIUtf39/bdq0SS+++KKGDh2qjFt02Ww2hYWF6dNPP5W/v78lhQIAAADAvSRHYUuSSpQooZ9//lnnzp3ToUOHZBiGypQpowIFClhRHwAAAADck3IctjIUKFBAtWrVys1aAAAAAOC+kaMBMgAAAAAA2UPYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACzg0bI0ePVq1atVS/vz55efnp7Zt2yo2NtauzeXLlxUZGalChQrJ09NTHTp00MmTJ+3aHDlyROHh4cqXL5/8/Pz02muv6erVq3Zt1qxZoxo1asjd3V2lS5dWVFSU1asHAAAA4AHm0LC1du1aRUZGasuWLVq+fLmuXLmiFi1a6MKFC2abgQMH6qefftK8efO0du1aHT9+XO3btzfnp6WlKTw8XKmpqdq0aZNmzpypqKgoDRs2zGwTFxen8PBwNW7cWDExMRowYIB69eqlZcuW3dH1BQAAAPDgsBmGYTi6iAynT5+Wn5+f1q5dqwYNGigxMVG+vr6aNWuWOnbsKEnav3+/ypcvr82bN6tOnTpasmSJWrdurePHj8vf31+SNHXqVA0ZMkSnT5+Wm5ubhgwZosWLF2vPnj3msjp37qyEhAQtXbr0pnUlJSXJ29tbiYmJ8vLysmblAUBS4siRji4h27yHD3d0CQAA3HE5yQZ31TVbiYmJkqSCBQtKkqKjo3XlyhU1a9bMbFOuXDkVL15cmzdvliRt3rxZlStXNoOWJIWFhSkpKUl79+4121zbR0abjD7+KyUlRUlJSXYPAAAAAMiJuyZspaena8CAAapXr54qVaokSYqPj5ebm5t8fHzs2vr7+ys+Pt5sc23QypifMe9GbZKSknTp0qVMtYwePVre3t7mo1ixYrmyjgAAAAAeHHdN2IqMjNSePXs0e/ZsR5eioUOHKjEx0XwcPXrU0SUBAAAAuMe4OLoASerbt68WLVqkdevWqWjRoub0gIAApaamKiEhwe7o1smTJxUQEGC22bZtm11/GaMVXtvmvyMYnjx5Ul5eXsqbN2+metzd3eXu7p4r6wYAAADgweTQI1uGYahv375asGCBVq1apaCgILv5wcHBcnV11cqVK81psbGxOnLkiEJCQiRJISEh2r17t06dOmW2Wb58uby8vFShQgWzzbV9ZLTJ6AMAAAAAcptDj2xFRkZq1qxZ+uGHH5Q/f37zGitvb2/lzZtX3t7e6tmzpwYNGqSCBQvKy8tL/fr1U0hIiOrUqSNJatGihSpUqKBu3bpp7Nixio+P15tvvqnIyEjz6FSfPn30ySefaPDgwXruuee0atUqzZ07V4sXL3bYugMAAAC4vzn0yNaUKVOUmJioRo0aqUiRIuZjzpw5ZpsJEyaodevW6tChgxo0aKCAgADNnz/fnO/s7KxFixbJ2dlZISEheuaZZ/Tss89q1KhRZpugoCAtXrxYy5cvV9WqVTV+/Hh9/vnnCgsLu6PrCwAAAODBcVfdZ+tuxX22ANwp3GcLAIC72z17ny0AAAAAuF8QtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALOPQ+WwBujtHpgPvTvfTZlvh8A8Ct4MgWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABQhbAAAAAGABwhYAAAAAWICwBQAAAAAWcGjYWrdundq0aaPAwEDZbDYtXLjQbr5hGBo2bJiKFCmivHnzqlmzZjp48KBdm7Nnz6pr167y8vKSj4+PevbsqeTkZLs2u3btUmhoqPLkyaNixYpp7NixVq8aAAAAgAecQ8PWhQsXVLVqVX366adZzh87dqw++ugjTZ06VVu3bpWHh4fCwsJ0+fJls03Xrl21d+9eLV++XIsWLdK6dev0wgsvmPOTkpLUokULlShRQtHR0Ro3bpxGjBihadOmWb5+AAAAAB5cLo5ceKtWrdSqVass5xmGoYkTJ+rNN9/UE088IUn66quv5O/vr4ULF6pz5876/ffftXTpUm3fvl01a9aUJH388cd67LHH9MEHHygwMFDffvutUlNT9eWXX8rNzU0VK1ZUTEyMPvzwQ7tQBgAAAAC56a69ZisuLk7x8fFq1qyZOc3b21u1a9fW5s2bJUmbN2+Wj4+PGbQkqVmzZnJyctLWrVvNNg0aNJCbm5vZJiwsTLGxsTp37lyWy05JSVFSUpLdAwAAAABy4q4NW/Hx8ZIkf39/u+n+/v7mvPj4ePn5+dnNd3FxUcGCBe3aZNXHtcv4r9GjR8vb29t8FCtW7PZXCAAAAMAD5a4NW440dOhQJSYmmo+jR486uiQAAAAA95i7NmwFBARIkk6ePGk3/eTJk+a8gIAAnTp1ym7+1atXdfbsWbs2WfVx7TL+y93dXV5eXnYPAAAAAMiJuzZsBQUFKSAgQCtXrjSnJSUlaevWrQoJCZEkhYSEKCEhQdHR0WabVatWKT09XbVr1zbbrFu3TleuXDHbLF++XGXLllWBAgXu0NoAAAAAeNA4NGwlJycrJiZGMTExkv4dFCMmJkZHjhyRzWbTgAED9M477+jHH3/U7t279eyzzyowMFBt27aVJJUvX14tW7bU888/r23btmnjxo3q27evOnfurMDAQEnS008/LTc3N/Xs2VN79+7VnDlzNGnSJA0aNMhBaw0AAADgQeDQod937Nihxo0bm88zAlBERISioqI0ePBgXbhwQS+88IISEhJUv359LV26VHny5DFf8+2336pv375q2rSpnJyc1KFDB3300UfmfG9vb/3yyy+KjIxUcHCwChcurGHDhjHsOwAAAABLOTRsNWrUSIZhXHe+zWbTqFGjNGrUqOu2KViwoGbNmnXD5VSpUkXr16+/5ToBAAAAIKfu2mu2AAAAAOBeRtgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAIOvc8WAADAgyBx5EhHl5Bt3sOHO7oE4L7BkS0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAs4OLoAgAAwN1vfuwJR5eQbe3LFnF0CQAgiSNbAAAAAGAJwhYAAAAAWICwBQAAAAAWIGwBAAAAgAUIWwAAAABgAcIWAAAAAFiAsAUAAAAAFiBsAQAAAIAFCFsAAAAAYAHCFgAAAABYgLAFAAAAABYgbAEAAACABVwcXQCA+8f82BOOLiFH2pct4ugSAADAfYwjWwAAAABgAcIWAAAAAFiA0wgBALfkXjptlFNGAQCOwJEtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwgIujCwAAAMDdY37sCUeXkCPtyxZxdAnAdXFkCwAAAAAsQNgCAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAIPVNj69NNPVbJkSeXJk0e1a9fWtm3bHF0SAAAAgPvUAxO25syZo0GDBmn48OH69ddfVbVqVYWFhenUqVOOLg0AAADAfcjF0QXcKR9++KGef/559ejRQ5I0depULV68WF9++aVef/11B1eXc4kjRzq6hGzzHj7c0SUAAAAAd9wDEbZSU1MVHR2toUOHmtOcnJzUrFkzbd68OVP7lJQUpaSkmM8TExMlSUlJSdYXm01Jly87uoRs+yn6gKNLyLbHywQ4uoRM7qVtfTH5vKNLyJGkJA9Hl5AJ29sabOvbx/a+PffS9r6XtrV0d27vxNGjHV1Ctnlf8/cxsicjExiGcdO2NiM7re5xx48f10MPPaRNmzYpJCTEnD548GCtXbtWW7dutWs/YsQIjbyHjhwBAAAAuLOOHj2qokWL3rDNA3FkK6eGDh2qQYMGmc/T09N19uxZFSpUSDabzYGV3XuSkpJUrFgxHT16VF5eXo4uBxZiWz9Y2N4PFrb3g4Nt/WBhe98awzB0/vx5BQYG3rTtAxG2ChcuLGdnZ508edJu+smTJxUQkPm0MXd3d7m7u9tN8/HxsbLE+56Xlxcf4gcE2/rBwvZ+sLC9Hxxs6wcL2zvnvL29s9XugRiN0M3NTcHBwVq5cqU5LT09XStXrrQ7rRAAAAAAcssDcWRLkgYNGqSIiAjVrFlTjz76qCZOnKgLFy6YoxMCAAAAQG56YMLWU089pdOnT2vYsGGKj49XtWrVtHTpUvn7+zu6tPuau7u7hg8fnum0TNx/2NYPFrb3g4Xt/eBgWz9Y2N7WeyBGIwQAAACAO+2BuGYLAAAAAO40whYAAAAAWICwBQAAAAAWIGwBAAAAgAUIW7DEunXr1KZNGwUGBspms2nhwoWOLgkWGT16tGrVqqX8+fPLz89Pbdu2VWxsrKPLgkWmTJmiKlWqmDfADAkJ0ZIlSxxdFu6A999/XzabTQMGDHB0KbDAiBEjZLPZ7B7lypVzdFmwyLFjx/TMM8+oUKFCyps3rypXrqwdO3Y4uqz7EmELlrhw4YKqVq2qTz/91NGlwGJr165VZGSktmzZouXLl+vKlStq0aKFLly44OjSYIGiRYvq/fffV3R0tHbs2KEmTZroiSee0N69ex1dGiy0fft2ffbZZ6pSpYqjS4GFKlasqBMnTpiPDRs2OLokWODcuXOqV6+eXF1dtWTJEu3bt0/jx49XgQIFHF3afemBuc8W7qxWrVqpVatWji4Dd8DSpUvtnkdFRcnPz0/R0dFq0KCBg6qCVdq0aWP3/N1339WUKVO0ZcsWVaxY0UFVwUrJycnq2rWrpk+frnfeecfR5cBCLi4uCggIcHQZsNiYMWNUrFgxzZgxw5wWFBTkwIrubxzZApCrEhMTJUkFCxZ0cCWwWlpammbPnq0LFy4oJCTE0eXAIpGRkQoPD1ezZs0cXQosdvDgQQUGBurhhx9W165ddeTIEUeXBAv8+OOPqlmzpp588kn5+fmpevXqmj59uqPLum9xZAtArklPT9eAAQNUr149VapUydHlwCK7d+9WSEiILl++LE9PTy1YsEAVKlRwdFmwwOzZs/Xrr79q+/btji4FFqtdu7aioqJUtmxZnThxQiNHjlRoaKj27Nmj/PnzO7o85KI///xTU6ZM0aBBg/S///1P27dvV//+/eXm5qaIiAhHl3ffIWwByDWRkZHas2cP5/nf58qWLauYmBglJibq+++/V0REhNauXUvgus8cPXpUL7/8spYvX648efI4uhxY7NpT/6tUqaLatWurRIkSmjt3rnr27OnAypDb0tPTVbNmTb333nuSpOrVq2vPnj2aOnUqYcsCnEYIIFf07dtXixYt0urVq1W0aFFHlwMLubm5qXTp0goODtbo0aNVtWpVTZo0ydFlIZdFR0fr1KlTqlGjhlxcXOTi4qK1a9fqo48+kouLi9LS0hxdIizk4+OjRx55RIcOHXJ0KchlRYoUyfTjWPny5Tlt1CIc2QJwWwzDUL9+/bRgwQKtWbOGi2wfQOnp6UpJSXF0GchlTZs21e7du+2m9ejRQ+XKldOQIUPk7OzsoMpwJyQnJ+uPP/5Qt27dHF0Kclm9evUy3aLlwIEDKlGihIMqur8RtmCJ5ORku1/D4uLiFBMTo4IFC6p48eIOrAy5LTIyUrNmzdIPP/yg/PnzKz4+XpLk7e2tvHnzOrg65LahQ4eqVatWKl68uM6fP69Zs2ZpzZo1WrZsmaNLQy7Lnz9/pmsvPTw8VKhQIa7JvA+9+uqratOmjUqUKKHjx49r+PDhcnZ2VpcuXRxdGnLZwIEDVbduXb333nvq1KmTtm3bpmnTpmnatGmOLu2+RNiCJXbs2KHGjRubzwcNGiRJioiIUFRUlIOqghWmTJkiSWrUqJHd9BkzZqh79+53viBY6tSpU3r22Wd14sQJeXt7q0qVKlq2bJmaN2/u6NIA3Ia///5bXbp00ZkzZ+Tr66v69etry5Yt8vX1dXRpyGW1atXSggULNHToUI0aNUpBQUGaOHGiunbt6ujS7ks2wzAMRxcBAAAAAPcbBsgAAAAAAAsQtgAAAADAAoQtAAAAALAAYQsAAAAALEDYAgAAAAALELYAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAD3hM2bN8vZ2Vnh4eF3dLmpqakaN26catSoIQ8PD3l7e6tq1ap68803dfz48TtaCwDg3mIzDMNwdBEAANxMr1695OnpqS+++EKxsbEKDAy0fJkpKSlq0aKFdu3apZEjR6pevXry9fVVXFycvvvuOxUoUECjR4/O8rWpqalyc3OzvEYAwN2LI1sAgLtecnKy5syZoxdffFHh4eGKiorK1ObHH39UmTJllCdPHjVu3FgzZ86UzWZTQkKC2WbDhg0KDQ1V3rx5VaxYMfXv318XLly47nInTJigDRs2aNWqVerfv7+Cg4NVvHhxNWzYUFOnTtV7771ntm3UqJH69u2rAQMGqHDhwgoLC5MkrV27Vo8++qjc3d1VpEgRvf7667p69ar5upIlS2rixIl2y61WrZpGjBhhPrfZbJoyZYpatWqlvHnz6uGHH9b333+fszcRAHDHEbYAAHe9uXPnqly5cipbtqyeeeYZffnll7r2xIy4uDh17NhRbdu21c6dO9W7d2+98cYbdn388ccfatmypTp06KBdu3Zpzpw52rBhg/r27Xvd5X733Xdq3ry5qlevnuV8m81m93zmzJlyc3PTxo0bNXXqVB07dkyPPfaYatWqpZ07d2rKlCn64osv9M477+T4PXjrrbfUoUMH7dy5U127dlXnzp31+++/57gfAMCdQ9gCANz1vvjiCz3zzDOSpJYtWyoxMVFr164153/22WcqW7asxo0bp7Jly6pz587q3r27XR+jR49W165dNWDAAJUpU0Z169bVRx99pK+++kqXL1/OcrkHDhxQ2bJl7aa1a9dOnp6e8vT0VN26de3mlSlTRmPHjlXZsmVVtmxZTZ48WcWKFdMnn3yicuXKqW3btho5cqTGjx+v9PT0HL0HTz75pHr16qVHHnlEb7/9tmrWrKmPP/44R30AAO4swhYA4K4WGxurbdu2qUuXLpIkFxcXPfXUU/riiy/s2tSqVcvudY8++qjd8507dyoqKsoMSp6engoLC1N6erri4uKyXc/kyZMVExOj5557ThcvXrSbFxwcbPf8999/V0hIiN0RsHr16ik5OVl///13tpcpSSEhIZmec2QLAO5uLo4uAACAG/niiy909epVuwExDMOQu7u7PvnkE3l7e2ern+TkZPXu3Vv9+/fPNK948eJZvqZMmTKKjY21m1akSBFJUsGCBTO19/DwyFYt13JyctJ/x6q6cuVKjvsBANx9OLIFALhrXb16VV999ZXGjx+vmJgY87Fz504FBgbqu+++kySVLVtWO3bssHvt9u3b7Z7XqFFD+/btU+nSpTM9rjdqYJcuXbR8+XL99ttvt1R/+fLltXnzZrswtXHjRuXPn19FixaVJPn6+urEiRPm/KSkpCyPtG3ZsiXT8/Lly99SXQCAO4OwBQC4ay1atEjnzp1Tz549ValSJbtHhw4dzFMJe/furf3792vIkCE6cOCA5s6da45YmHEK35AhQ7Rp0yb17dtXMTExOnjwoH744YcbDpAxcOBAhYSEqGnTppo0aZJ+/fVXxcXFadmyZVqyZImcnZ1vWP9LL72ko0ePql+/ftq/f79++OEHDR8+XIMGDZKT07//BTdp0kRff/211q9fr927dysiIiLLfufNm6cvv/xSBw4c0PDhw7Vt27Yb1g4AcDzCFgDgrvXFF1+oWbNmWZ4q2KFDB+3YsUO7du1SUFCQvv/+e82fP19VqlTRlClTzNEI3d3dJUlVqlTR2rVrdeDAAYWGhqp69eoaNmzYDe/XlSdPHq1cuVJDhgzRjBkzVL9+fZUvX14DBgxQvXr1tHDhwhvW/9BDD+nnn3/Wtm3bVLVqVfXp00c9e/bUm2++abYZOnSoGjZsqNatWys8PFxt27ZVqVKlMvU1cuRIzZ49W1WqVNFXX32l7777ThUqVMjO2wgAcBBuagwAuC+9++67mjp1qo4ePeroUm6bzWbTggUL1LZtW0eXAgDIAQbIAADcFyZPnqxatWqpUKFC2rhxo8aNG8dpdgAAhyJsAQDuCwcPHtQ777yjs2fPqnjx4nrllVc0dOhQR5cFAHiAcRohAAAAAFiAATIAAAAAwAKELQAAAACwAGELAAAAACxA2AIAAAAACxC2AAAAAMAChC0AAAAAsABhCwAAAAAsQNgCAAAAAAv8fzOz3XowAJI3AAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"markdown","source":["산림 체험에 관심이 있는 연령대 별로 묶은 자차를 가지고 있는 사람 수"],"metadata":{"id":"IXhRcC3eImi5"}},{"cell_type":"code","source":["# NaN이 아닌 행만 필터링\n","car_exist_df2 = df2.dropna(subset=['car_group_nm'])\n","\n","# 성별 및 나이별로 그룹화하고 카운트\n","car_exist_df2 = car_exist_df2.groupby(['auser_sxdst_cd', 'age_group_cd']).size().reset_index(name='count')\n","\n","print(car_exist_df2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lRvErA4yIY21","executionInfo":{"status":"ok","timestamp":1710137499747,"user_tz":-540,"elapsed":534,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"2e80b2f1-dbf2-4d20-ad32-add5b706420e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["  auser_sxdst_cd  age_group_cd  count\n","0              F             2    109\n","1              F             3   1273\n","2              F             4    908\n","3              F             5    250\n","4              M             2     19\n","5              M             3    233\n","6              M             4    239\n","7              M             5     70\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# 데이터프레임 생성\n","data = {\n","    'F': [109, 1273, 908, 250],\n","    'M': [19, 233, 239, 70]\n","}\n","age_groups = ['2', '3', '4', '5']\n","colors = ['blue', 'orange']\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","for i, (gender, counts) in enumerate(data.items()):\n","    plt.bar([x + i * 0.2 for x in range(len(age_groups))], counts, color=colors[i], width=0.2, label=gender)\n","\n","plt.xlabel('Age Group')\n","plt.ylabel('Count')\n","plt.title('Interested in mountain experience who have their own car')\n","plt.xticks([x + 0.2 for x in range(len(age_groups))], age_groups)\n","plt.legend()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"WB6UdZfpI_qF","executionInfo":{"status":"ok","timestamp":1710167137672,"user_tz":-540,"elapsed":409,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"2dd6f0a8-232c-445b-a827-e8264908ee67"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["산림 체험에 관심이 있는 자차를 가지고 있지 않은 사람 수"],"metadata":{"id":"0uftJDftKUVZ"}},{"cell_type":"code","source":["# NaN인 행만 필터링\n","car_nan_df2 = df2[df2['car_group_nm'].isna()]\n","\n","# 성별 및 나이별로 그룹화하고 카운트\n","car_nan_df2 = car_nan_df2.groupby(['auser_sxdst_cd', 'age_group_cd']).size().reset_index(name='count')\n","\n","print(car_nan_df2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"5wUKjhPrKjdM","executionInfo":{"status":"ok","timestamp":1710138007771,"user_tz":-540,"elapsed":338,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"5706871e-5598-44b1-ff72-db6daf00ceb3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["  auser_sxdst_cd  age_group_cd  count\n","0              F             2    973\n","1              F             3   2786\n","2              F             4   1660\n","3              F             5    553\n","4              M             2    177\n","5              M             3    386\n","6              M             4    244\n","7              M             5     86\n"]}]},{"cell_type":"code","source":["import numpy as np\n","import matplotlib.pyplot as plt\n","\n","# 바차트를 그리기 위한 데이터\n","labels = ['2', '3', '4', '5']  # 나이 그룹\n","count_f = [973, 2786, 1660, 553]  # Female 그룹의 카운트\n","count_m = [177, 386, 244, 86]  # Male 그룹의 카운트\n","\n","x = np.arange(len(labels))  # 막대그래프의 x 좌표\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","width = 0.35  # 막대그래프의 너비\n","\n","plt.bar(x - width/2, count_f, width, color='lightcoral', label='Female')\n","plt.bar(x + width/2, count_m, width, color='lightblue', label='Male')\n","\n","plt.xlabel('Age Group')\n","plt.ylabel('Count')\n","plt.title('Interested in mountain experience who doesn\\'t have their own car')\n","plt.xticks(x, labels)  # x 축 눈금 설정\n","plt.legend()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"Qyugg3cSK4HR","executionInfo":{"status":"ok","timestamp":1710138375401,"user_tz":-540,"elapsed":754,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"c94ba7f4-1f17-4785-8f14-f1fa2cba661f"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["import numpy as np\n","import pandas as pd\n","\n","# 아래는 산림 휴양 복지통계 설문정보 테이블들을 가지고 EDA한 결과입니다.\n","# 답 테이블의 Q1-4 가 뭐하러 갔는지 정보\n","# 답 테이블의 Q1-5 가 누구랑 갔는지 정보\n","\n","df_ans_1 = pd.read_csv('/content/sample_data/TB_KFS_FFNSR_RSPT_ANS_L1.csv', encoding ='utf-8', low_memory=False, header=1)"],"metadata":{"id":"bRQUvRXwVSh0"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df_ans_2 = pd.read_csv('/content/sample_data/TB_KFS_FFNSR_RSPT_ANS_L2.csv', encoding ='utf-8', low_memory=False, header=1)\n"],"metadata":{"id":"eUJwmZUqXGkk"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df_rspt_info = pd.read_csv('/content/sample_data/TB_KFS_FFNSR_RSPT_M.csv', encoding ='euc-kr', low_memory=False, header=1)"],"metadata":{"id":"utQi4SU7XJbw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df_age_info = pd.read_csv('/content/sample_data/TB_KFS_FFNSR_AGGRP_C.csv', encoding ='euc-kr', low_memory=False, header=1)"],"metadata":{"id":"sR8rxmUaXaZe"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["df_age_info.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"7XY8zoxoXtlG","executionInfo":{"status":"ok","timestamp":1710161043710,"user_tz":-540,"elapsed":5,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"6082304d-dee2-47c0-d1b0-fcd8aa26e027"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   AGGRP_CD AGGRP_NM\n","0         1   19~29세\n","1         2   30~39세\n","2         3   40~49세\n","3         4   50~59세\n","4         5   60~69세"],"text/html":["\n","  <div id=\"df-181e37f2-6316-4758-a739-723c37986aa5\" class=\"colab-df-container\">\n","    <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 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== 'F']['count'].sum()\n","\n","# 'RSPT_SXDST_CD'가 'M'인 행의 개수 세기\n","count_m = grouped_df[grouped_df['RSPT_SXDST_CD'] == 'M']['count'].sum()\n","\n","print(\"Female count:\", count_f)\n","print(\"Male count:\", count_m)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OTWZclLZ-_Fo","executionInfo":{"status":"ok","timestamp":1710168835182,"user_tz":-540,"elapsed":528,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"f483186c-06ef-4511-feea-e9428b5761bd"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["     FFNSR_RSPT_CONNO RSPT_SXDST_CD  count\n","0                 129             M    195\n","1                 144             M    197\n","2                 146             F    199\n","3                 158             F    104\n","4                 164             M    191\n","..                ...           ...    ...\n","805              5946             F    144\n","806              5951             F    111\n","807              5970             M    108\n","808              5978             F    142\n","809              5995             M    117\n","\n","[810 rows x 3 columns]\n","Female count: 57084\n","Male count: 61812\n"]}]},{"cell_type":"code","source":["# 1: 등산/산책\n","# 2: 경관 감상\n","# 3: 문화재 관람\n","# 4: 휴식/명상\n","# 5: 축제/행사\n","# 6: 사진(비디오) 촬영\n","# 7: 약수터 이용\n","# 8: 체육시설 이용\n","# 9: 숲(환경)해설 참여\n","\n","# 필터링할 문항 번호 Q1-4\n","filtered_index = 'Q1-4'\n","\n","# 필터링\n","\n","filtered_df = merged_df[merged_df['QSITM_NO_CD'] == filtered_index]\n","filtered_df = filtered_df[filtered_df['ANSRITM_CD'] != 9997.0]\n","# ANSRITM_CD 값이 9997이 아닌 행만 필터링 - 9997은 기타 값, 9998은 전혀 산을 방문하지 않음\n","# filtered_df = merged_df[merged_df['ANSRITM_CD'] <= 10 ]\n","\n","\n","\n","\n","# # 성별 및 연령대 코드로 그룹화하고 count 계산\n","# grouped_df = filtered_df.groupby(['ANSRITM_CD','RSPT_SXDST_CD', 'RSPT_AGGRP_CD']).size().reset_index(name='count')\n","\n","# 결과 출력\n","# print(grouped_df)\n","\n","print(filtered_df)\n","filtered_df = filtered_df[filtered_df['ANSRITM_CD'] != 9997.0]\n","result = (min(filtered_df['ANSRITM_CD']), max(filtered_df['ANSRITM_CD']))\n","print(result)  # (1, 10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"OIaaTvT-jKha","executionInfo":{"status":"ok","timestamp":1710163276740,"user_tz":-540,"elapsed":3,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"7e98e79f-9dad-4084-8635-3be4491ea9ce"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["        FFNSR_RSPT_CONNO QSITM_NO_CD  ANSRITM_CD  ANSRITM_ADDTN_DSCRT  \\\n","3                    126        Q1-4         1.0                  1.0   \n","181                  128        Q1-4         1.0                  1.0   \n","377                  129        Q1-4         1.0                  1.0   \n","572                  130        Q1-4         1.0                  1.0   \n","573                  130        Q1-4         4.0                  4.0   \n","...                  ...         ...         ...                  ...   \n","742756              5991        Q1-4         4.0                  4.0   \n","743057              5994        Q1-4         1.0                  1.0   \n","743227              5995        Q1-4         1.0                  1.0   \n","743344              5997        Q1-4         1.0                  1.0   \n","743481              5998        Q1-4         1.0                  1.0   \n","\n","       RSPT_SXDST_CD  RSPT_AGGRP_CD  RSPT_RSDNC_ARCD  \n","3                  F              2                6  \n","181                M              2                6  \n","377                M              1                6  \n","572                F              5                3  \n","573                F              5                3  \n","...              ...            ...              ...  \n","742756             M              3               14  \n","743057             M              4                3  \n","743227             M              1                4  \n","743344             M              2                1  \n","743481             M              6                1  \n","\n","[6864 rows x 7 columns]\n","(1.0, 9.0)\n"]}]},{"cell_type":"code","source":["# ANSRITM_CD, RSPT_SXDST_CD, RSPT_AGGRP_CD 별로 그룹화하고 count 및 비율 계산\n","grouped_df = filtered_df.groupby(['ANSRITM_CD', 'RSPT_SXDST_CD', 'RSPT_AGGRP_CD']).size().reset_index(name='count')\n","\n","# 전체에서의 비율 계산\n","total_counts = grouped_df['count'].sum()\n","grouped_df['percentage'] = (grouped_df['count'] / total_counts) * 100\n","\n","print(grouped_df)\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cjifrBs_kl9a","executionInfo":{"status":"ok","timestamp":1710162722617,"user_tz":-540,"elapsed":384,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"d7edf003-5233-41b5-933c-8372261b71ff"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["    ANSRITM_CD RSPT_SXDST_CD  RSPT_AGGRP_CD  count  percentage\n","0          1.0             F              1    240    3.496503\n","1          1.0             F              2    275    4.006410\n","2          1.0             F              3    352    5.128205\n","3          1.0             F              4    406    5.914918\n","4          1.0             F              5    321    4.676573\n","..         ...           ...            ...    ...         ...\n","95         8.0             M              6     36    0.524476\n","96         9.0             F              1      2    0.029138\n","97         9.0             F              2      6    0.087413\n","98         9.0             F              3      3    0.043706\n","99         9.0             F              4      2    0.029138\n","\n","[100 rows x 5 columns]\n"]}]},{"cell_type":"code","source":["grouped_df"],"metadata":{"id":"GtebyzCEoUAb"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["전체 응답자 중 1번 등산/산책 및 4번 휴식/명상 하러 숲을 가는 사람이 1,2순위이다"],"metadata":{"id":"i0DQPL00ppCl"}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# 성별로 데이터 분할\n","male_data = grouped_df[grouped_df['RSPT_SXDST_CD'] == 'M']\n","female_data = grouped_df[grouped_df['RSPT_SXDST_CD'] == 'F']\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","\n","# 남자 바차트\n","plt.bar(male_data['ANSRITM_CD'], male_data['percentage'], color='blue', label='Male')\n","\n","plt.xlabel('ANSRITM_CD')\n","plt.ylabel('percentage')\n","plt.title('percentage by ANSRITM_CD and Male')\n","plt.legend()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"8ovh0R5Hk7vW","executionInfo":{"status":"ok","timestamp":1710162757243,"user_tz":-540,"elapsed":533,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"e9dd0bae-00c3-4a24-b751-f77ca6fd2374"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 여자 바차트\n","plt.bar(female_data['ANSRITM_CD'], female_data['percentage'], color='pink', label='Female')\n","\n","plt.xlabel('ANSRITM_CD')\n","plt.ylabel('percentage')\n","plt.title('percentage by ANSRITM_CD and Female')\n","plt.legend()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"dpVsOqMgorZ1","executionInfo":{"status":"ok","timestamp":1710162752115,"user_tz":-540,"elapsed":425,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"ed9c6d94-0e06-4172-820b-8d7dd92a753e"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["20대 여성 대상"],"metadata":{"id":"KAENnRpcqMQC"}},{"cell_type":"code","source":["# ANSRITM_CD, RSPT_SXDST_CD, RSPT_AGGRP_CD 별로 그룹화하고 count 및 비율 계산\n","grouped_df = filtered_df.groupby(['ANSRITM_CD', 'RSPT_SXDST_CD', 'RSPT_AGGRP_CD']).size().reset_index(name='count')\n","\n","# ANSRITM_CD 별 RSPT_SXDST_CD가 'F'이고 RSPT_AGGRP_CD가 1 또는 인 행 필터링\n","grouped_df = grouped_df[(grouped_df['RSPT_SXDST_CD'] == 'F') & grouped_df['RSPT_AGGRP_CD'].isin([1])]\n","\n","# 전체에서의 비율 계산\n","total_counts = grouped_df['count'].sum()\n","grouped_df['percentage'] = (grouped_df['count'] / total_counts) * 100\n","\n","\n","\n","\n","# ANSRITM_CD 별 count 및 percentage 합산\n","ansritm_sum = grouped_df.groupby('ANSRITM_CD').agg({'count': 'sum', 'percentage': 'sum'}).reset_index()\n","\n","print(ansritm_sum)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"i2mdDY5PqLvJ","executionInfo":{"status":"ok","timestamp":1710163328693,"user_tz":-540,"elapsed":5,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"83c86fe9-2950-403d-cebc-62eff1745b1a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["   ANSRITM_CD  count  percentage\n","0         1.0    240   50.000000\n","1         2.0     68   14.166667\n","2         3.0      7    1.458333\n","3         4.0    104   21.666667\n","4         5.0     18    3.750000\n","5         6.0     17    3.541667\n","6         7.0      4    0.833333\n","7         8.0     20    4.166667\n","8         9.0      2    0.416667\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","plt.bar(ansritm_sum['ANSRITM_CD'], ansritm_sum['percentage'], color='lightblue')\n","plt.xlabel('ANSRITM_CD')\n","plt.ylabel('Percentage (%)')\n","plt.title('Percentage Distribution by ANSRITM_CD for Female Respondents with RSPT_AGGRP_CD 1 or 2')\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"c2puVpQEqqv5","executionInfo":{"status":"ok","timestamp":1710163334309,"user_tz":-540,"elapsed":402,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"ed0c7aa8-e8ca-4d9e-d3a7-2398b435f158"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["지금 당장 할 수 있는 추천 방식 : 비율로 확률 계산해서 랜덤하게 추천해주기?"],"metadata":{"id":"g4cP5lcsrgKE"}},{"cell_type":"markdown","source":["20대 여성 대상 + 거주지역 별 구분\n","보고자 하는건 위의 feature 조합이 Q1-4 의 답변이 1,4 vs 나머지 로 명확히 구분되는 지"],"metadata":{"id":"5CL8UJ_Trv3n"}},{"cell_type":"code","source":["# RSPT_RSDNC_ARCD 이 지역 코드\n","# 1이 서울, 8이 경기도. 1~8은 서울,수도권,광역시\n","\n","# ANSRITM_CD, RSPT_SXDST_CD, RSPT_AGGRP_CD, RSPT_RSDNC_ARCD 별로 그룹화하고 count 및 비율 계산\n","grouped_df = filtered_df.groupby(['ANSRITM_CD', 'RSPT_SXDST_CD', 'RSPT_AGGRP_CD', 'RSPT_RSDNC_ARCD']).size().reset_index(name='count')\n","\n","# 전체에서의 비율 계산\n","total_counts = grouped_df['count'].sum()\n","grouped_df['percentage'] = (grouped_df['count'] / total_counts) * 100\n","\n","print(grouped_df)\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pNKIDQglryya","executionInfo":{"status":"ok","timestamp":1710163572916,"user_tz":-540,"elapsed":369,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"10fb5f3d-d0fb-407e-f00e-9bd9237a585a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["     ANSRITM_CD RSPT_SXDST_CD  RSPT_AGGRP_CD  RSPT_RSDNC_ARCD  count  \\\n","0           1.0             F              1                1     79   \n","1           1.0             F              1                2      1   \n","2           1.0             F              1                3     21   \n","3           1.0             F              1                4      4   \n","4           1.0             F              1                5      7   \n","..          ...           ...            ...              ...    ...   \n","932         9.0             F              3                8      1   \n","933         9.0             F              3               11      1   \n","934         9.0             F              3               15      1   \n","935         9.0             F              4                1      1   \n","936         9.0             F              4                8      1   \n","\n","     percentage  \n","0      1.150932  \n","1      0.014569  \n","2      0.305944  \n","3      0.058275  \n","4      0.101981  \n","..          ...  \n","932    0.014569  \n","933    0.014569  \n","934    0.014569  \n","935    0.014569  \n","936    0.014569  \n","\n","[937 rows x 6 columns]\n"]}]},{"cell_type":"code","source":["# 20대 여성으로 필터링\n","# ANSRITM_CD 별 RSPT_SXDST_CD가 'F'이고 RSPT_AGGRP_CD가 1 또는 인 행 필터링\n","grouped_df = grouped_df[(grouped_df['RSPT_SXDST_CD'] == 'F') & grouped_df['RSPT_AGGRP_CD'].isin([1])]\n","\n","print(grouped_df)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Hv_kHCvrsKA5","executionInfo":{"status":"ok","timestamp":1710163622312,"user_tz":-540,"elapsed":6,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"6d65b9de-79e3-4e62-ea77-bc0b306e6f5b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["     ANSRITM_CD RSPT_SXDST_CD  RSPT_AGGRP_CD  RSPT_RSDNC_ARCD  count  \\\n","0           1.0             F              1                1     79   \n","1           1.0             F              1                2      1   \n","2           1.0             F              1                3     21   \n","3           1.0             F              1                4      4   \n","4           1.0             F              1                5      7   \n","..          ...           ...            ...              ...    ...   \n","792         8.0             F              1                8      3   \n","793         8.0             F              1               14      6   \n","794         8.0             F              1               15      1   \n","924         9.0             F              1               14      1   \n","925         9.0             F              1               15      1   \n","\n","     percentage  \n","0      1.150932  \n","1      0.014569  \n","2      0.305944  \n","3      0.058275  \n","4      0.101981  \n","..          ...  \n","792    0.043706  \n","793    0.087413  \n","794    0.014569  \n","924    0.014569  \n","925    0.014569  \n","\n","[71 rows x 6 columns]\n"]}]},{"cell_type":"code","source":["# 답항 값 별로 그룹화 및 다시 비율 계산\n","# 전체에서의 비율 계산\n","\n","\n","# ANSRITM_CD 값과 RSPT_RSDNC_ARCD 값으로 그룹화하고 count 계산\n","grouped_df = grouped_df.groupby(['ANSRITM_CD', 'RSPT_RSDNC_ARCD'])['count'].sum().reset_index()\n","\n","# 결과 출력\n","print(grouped_df)\n","\n","\n","# total_counts = grouped_df['count'].sum()\n","# grouped_df['percentage'] = (grouped_df['count'] / total_counts) * 100\n","\n","\n","\n","\n","# # ANSRITM_CD 별 count 및 percentage 합산\n","# ansritm_sum = grouped_df.groupby('ANSRITM_CD').agg({'count': 'sum', 'percentage': 'sum'}).reset_index()\n","\n","# print(ansritm_sum)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9aEfalQFsj8g","executionInfo":{"status":"ok","timestamp":1710163778567,"user_tz":-540,"elapsed":3,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"b5122d7d-c4c7-43d7-afb0-4b0cef055f35"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["    ANSRITM_CD  RSPT_RSDNC_ARCD  count\n","0          1.0                1     79\n","1          1.0                2      1\n","2          1.0                3     21\n","3          1.0                4      4\n","4          1.0                5      7\n","..         ...              ...    ...\n","66         8.0                8      3\n","67         8.0               14      6\n","68         8.0               15      1\n","69         9.0               14      1\n","70         9.0               15      1\n","\n","[71 rows x 3 columns]\n"]}]},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n","\n","# 바차트 그리기\n","plt.figure(figsize=(10, 6))\n","plt.bar(ansritm_sum['ANSRITM_CD'], ansritm_sum['percentage'], color='lightblue')\n","plt.xlabel('ANSRITM_CD')\n","plt.ylabel('Percentage (%)')\n","plt.title('Percentage Distribution by ANSRITM_CD for Female Respondents with RSPT_AGGRP_CD 1 or 2')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"rSbJhYKKsqor","executionInfo":{"status":"ok","timestamp":1710163671036,"user_tz":-540,"elapsed":748,"user":{"displayName":"김효대","userId":"14871952557497568874"}},"outputId":"5d83608e-9110-41b6-d37f-9fc1f59ec462"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]}]}