├── .DS_Store ├── .vscode └── settings.json ├── DataScience.yml ├── README.md ├── data ├── 01. CCTV_in_Seoul.csv ├── 01. CCTV_result.csv ├── 01. population_in_Seoul.xls ├── 02. crime_in_Seoul.csv ├── 02. crime_in_Seoul_final.csv ├── 02. crime_in_Seoul_include_gu_name.csv ├── 02. folium_US_Unemployment_Oct2012.csv ├── 02. folium_us-states.json ├── 02. sales-funnel.xlsx ├── 02. skorea_municipalities_geo_simple.json ├── 03. best_sandwiches_list_chicago.csv ├── 03. best_sandwiches_list_chicago2.csv ├── 03. test_first.html ├── 05. draw_korea.csv ├── 05. draw_korea_raw.xlsx ├── 05. election_result.csv ├── 05. population_raw_data.xlsx ├── 05. skorea_municipalities_geo_simple.json ├── 06. result.xlsx ├── 06. result2.xlsx ├── 07. a_new_hope.txt ├── 07. alice.txt ├── 07. alice_mask.png ├── 07. example_wp_R.csv ├── 07. example_wp_peyton_manning.csv ├── 07. portland-oregon-average-monthly-.csv ├── 07. stormtrooper_mask.png ├── 07. web_traffic.tsv ├── 08. PinkWink Web Traffic.csv ├── 08. example_wp_R.csv ├── 08. example_wp_peyton_manning.csv ├── 09. a_new_hope.txt ├── 09. alice.txt ├── 09. alice_mask.png ├── 09. heart.jpg ├── 09. stormtrooper_mask.png ├── 지역_위치별(주유소) (1).xls ├── 지역_위치별(주유소) (10).xls ├── 지역_위치별(주유소) (11).xls ├── 지역_위치별(주유소) (12).xls ├── 지역_위치별(주유소) (13).xls ├── 지역_위치별(주유소) (14).xls ├── 지역_위치별(주유소) (15).xls ├── 지역_위치별(주유소) (16).xls ├── 지역_위치별(주유소) (17).xls ├── 지역_위치별(주유소) (18).xls ├── 지역_위치별(주유소) (19).xls ├── 지역_위치별(주유소) (2).xls ├── 지역_위치별(주유소) (20).xls ├── 지역_위치별(주유소) (21).xls ├── 지역_위치별(주유소) (22).xls ├── 지역_위치별(주유소) (23).xls ├── 지역_위치별(주유소) (24).xls ├── 지역_위치별(주유소) (3).xls ├── 지역_위치별(주유소) (4).xls ├── 지역_위치별(주유소) (5).xls ├── 지역_위치별(주유소) (6).xls ├── 지역_위치별(주유소) (7).xls ├── 지역_위치별(주유소) (8).xls ├── 지역_위치별(주유소) (9).xls └── 지역_위치별(주유소).xls ├── driver ├── chromedriver └── chromedriver.exe ├── images ├── 001.jpg └── 001.png ├── img ├── 001.JPG ├── 002.jpg ├── 003.jpg └── title.jpg └── source_code ├── .ipynb_checkpoints ├── 01. Basic of Python, Pandas and Matplotlib via analysis of CCTV in Seoul-checkpoint.ipynb ├── 02. Analysis for crime in Seoul-checkpoint.ipynb ├── 03-1. Web Parsing example-checkpoint.ipynb ├── 03-2. Naver Movie Rank-checkpoint.ipynb ├── 04. Self Oil Station price-checkpoint.ipynb ├── 05. population using Korea Map-checkpoint.ipynb ├── 06. Election Result-checkpoint.ipynb ├── 07. Time Series Data Handle-checkpoint.ipynb └── 08. Natural Language Processing-checkpoint.ipynb ├── 01. Basic of Python, Pandas and Matplotlib via analysis of CCTV in Seoul.ipynb ├── 02. Analysis for crime in Seoul.ipynb ├── 03-1. Web Parsing example.ipynb ├── 03-2. Naver Movie Rank.ipynb ├── 04. Self Oil Station price.ipynb ├── 05. population using Korea Map.ipynb ├── 06. Election Result.ipynb ├── 07. Time Series Data Handle.ipynb ├── 08. Natural Language Processing.ipynb ├── pres_girl.data ├── pres_girl.model └── test_click.py /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PinkWink/DataScience/b0a76c96ea266d5e69285fea35fc95accc4fd25d/.DS_Store -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.pythonPath": "/Users/pinkwink/anaconda3/envs/mystudy/bin/python" 3 | } -------------------------------------------------------------------------------- /DataScience.yml: -------------------------------------------------------------------------------- 1 | name: base 2 | channels: 3 | - anaconda 4 | - conda-forge 5 | - defaults 6 | dependencies: 7 | - ca-certificates=2017.08.26=ha1e5d58_0 8 | - certifi=2018.1.18=py36_0 9 | - openssl=1.0.2n=hdbc3d79_0 10 | - pandas-datareader=0.6.0=py36_0 11 | - requests-file=1.4.1=py36_0 12 | - 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wheel=0.30.0=py36h5eb2c71_1 244 | - widgetsnbextension=3.1.0=py36_0 245 | - wrapt=1.10.11=py36hc29e774_0 246 | - xlrd=1.1.0=py36h336f4a2_1 247 | - xlsxwriter=1.0.2=py36h3736301_0 248 | - xlwings=0.11.5=py36_0 249 | - xlwt=1.2.0=py36h5ad1178_0 250 | - xz=5.2.3=h0278029_2 251 | - yaml=0.1.7=hc338f04_2 252 | - zeromq=4.2.2=ha360ad0_2 253 | - zict=0.1.3=py36h71da714_0 254 | - zlib=1.2.11=hf3cbc9b_2 255 | - pip: 256 | - fix-yahoo-finance==0.0.21 257 | - jupyterthemes==0.19.1 258 | - lesscpy==0.13.0 259 | - multitasking==0.0.7 260 | - tables==3.4.2 261 | prefix: /Users/rnm_mac/anaconda3 262 | 263 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 파이썬으로 데이터 주무르기 2 | 3 | 4 | 5 | * **파이썬으로 데이터 주무르기** 집필하고서 책 내용의 데이터와 소스코드를 최신으로 관리할 목적으로 유지하는 공간입니다. 6 | * IT의 빠른 흐름 때문에 책 집필 후에 아래의 상황을 자주 만나게 됩니다. 7 | * 분석하려는 인터넷 사이트가 변경 8 | * 최신 버젼의 모듈이 문법이 변경 9 | * 그래서 이 공간은 책이 다룬 데이터와 소스코드를 단순히 공개하는 것이 아니라 보다 적극적으로 독자를 위해 항상 소스코드가 공개되도록 유지하겠습니다. 10 | * 단, 분석하려는 해당 사이트가 아예 없어지거나 11 | * 해당 모듈이 더이상 버전업등의 지원이 없는 경우는 예외로 합니다. 12 | 13 | ## 관련 사이트 14 | * 본 책에서 일부 중복되거나 혹은 시점의 차이는 있지만, 단편적 이야기들과 못다한 이야기들은 저자인 PinkWink의 블로그에서 볼 수 있습니다. 15 | * PinkWink의 블로그 : **[PinkWink의 블로그](http://pinkwink.kr/)** 16 | * 본 책의 내용에서 더 자세하고 발전된 내용과 다양한 추가 예제는 **패스트캠퍼스**에서 강의로 진행되고 있습니다. 17 | * 패스트캠퍼스 강의 : **[파이썬을 활용한 데이터 분석 입문 CAMP](http://www.fastcampus.co.kr/data_camp_pda/)** 18 | 19 | ## 목차별 소스코드 학습시 주의 사항 20 | * 집필 후 모듈의 업데이터 및 데이터의 취득 방법이나 그 내용이 변경된 경우에 대해서만 정리합니다. 21 | 22 | ### 1장 서울시 구별 CCTV 현황 분석 23 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/01.%20Basic%20of%20Python%2C%20Pandas%20and%20Matplotlib%20%20via%20analysis%20of%20CCTV%20in%20Seoul.ipynb)** 24 | 25 | 26 | * 오타 수정 27 | * P34, In [26] 바로 위의 줄 df.loc[:, ['A', 'B']라고 --> **df.loc[:, ['A', 'B']]** (helpotcreator님 감사합니다.) 28 | * P36, In [32] : df.iloc[[1,2,4],[0,2]] --> **In [32] : df.iloc[[1,2,4],[0:2]]** (조힘찬빛님 감사합니다.) 29 | * P38, In[40] df2['E'].isIn(['two','four']) --> **In[40] df2['E'].isin(['two','four'])** (focussjh님 감사합니다.) 30 | * P40, In[44] x.mIn() --> **x.min()** (buillee님 감사합니다.) 31 | * P54, 밑에서 세 번째 줄, 0.7 이하면 뚜렷한 상관관계 --> **0.7 이상이면 뚜렸한 상관관계** (김혁님 감사합니다.) 32 | * P57, In [95] np.arrange --> **np.arange** (김혁님 감사합니다.) 33 | 34 | ### 2장 서울시 범죄 현황 분석 35 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/02.%20Analysis%20for%20crime%20in%20Seoul.ipynb)** 36 | 37 | * 구글 지도 API의 유료화 진행에 대해 38 | * **구글 지도 API가 최근 유료화 되었습니다. 그러나 학습용으로는 구글이 매월 200달러 규모의 크래딧을 지원하기 때문에 신용카드는 등록하더라도, 실제로 결재가 되지는 않을 것 같습니다.** [바로가기](http://pinkwink.kr/1143) 39 | 40 | * 오타 수정 41 | * P79, 그림 2-7과 같이 --> **그림 2-9와 같이** (김혁님 감사합니다.) 42 | * P83, In[7]의 마지막 print문이 앞으로 들여쓰기가 되어야 합니다. 단, for문안에는 있어야 하구요. github 소스를 확인해 주세요. (pitbulls님 감사합니다.) 43 | * P86, In [13] crime_anal_police.loc[crime_anal_police['관서명']=='금천서', ['구별']] = '금천서' --> **crime_anal_police.loc[crime_anal_police['관서명']=='금천서', ['구별']] = '금천구'** (grabchance님 감사합니다.) 44 | * P87, In [15] ccrime_anal_police.head() --> **crime_anal_police.head()** (조힘찬빛님 감사합니다.) 45 | * P93, In [32]의 마지막 명령인 crime_anal.head() 명령은 앞으로 당겨야합니다. 즉, indent 적용이 안되어야 합니다. (김혁님 감사합니다.) 46 | 47 | * 교재 대비 데이터나 환경이 변경된 사항 48 | * 교재에서 접근하는 방식으로 데이터를 얻으로 가면 교재 집필하던 때와 데이터의 형식이 변경되어 있습니다. 49 | * 지금은 데이터를 얻는 것이 실제 데이터라는 것에 대한 증명일 뿐이므로, 해당 데이터를 Github에서 배포하는 데이터를 다운받는 것으로 합니다. 50 | 51 | 52 | * 교재 대비 코드가 변경된 사항 53 | * Matplotlib의 heatmap 등을 그릴때 cmap의 디폴트 설정이 변경되어 heatmap 등에서 cmap을 적용할 때 옵션을 잡아주어야 교재와 동일한 효과가 나타납니다. (소스코드에 모두 반영됨) 54 | * Folium이 0.4.0으로 판올림 되면서 choropleth 명령에서 geo_str 옵션명이 geo_data 옵션명으로 변경되었습니다.. (소스코드에 모두 반영) 55 | * Folium이 0.4.0으로 판올림 되면서 circle marker 적용할때, fill=True 옵션을 반듯이 사용해야 합니다. (소스코드에 모두 반영) 56 | 57 | ### 3장 시카고 샌드위치 맛집 분석 58 | * 소스코드 : **[바로가기1](https://github.com/PinkWink/DataScience/blob/master/source_code/03-1.%20Web%20Parsing%20example.ipynb)**, **[바로가기2](https://github.com/PinkWink/DataScience/blob/master/source_code/03-2.%20Naver%20Movie%20Rank.ipynb)** 59 | 60 | 61 | * 오타 수정 62 | * P125, 밑에서 두 번째 줄, 02. test_first.html --> **03. test_first.html** 63 | * P151, 첫 줄, 코드 [105]를 --> **코드 [51]을** (조힘찬빛님 감사합니다.) 64 | * P159의 In[2]에 page = url_base+url_sub --> **page = urlopen(url_base+url_syb)** 로 변경되어야 합니다. (buillee님 감사합니다.) 65 | 66 | * 교재 오류 수정 67 | * P144 In [41] 제일 위에 아래 코드가 추가되어야 합니다. (조힘찬빛님 감사합니다.) 68 | ``` python 69 | from urllib.parse import urljoin 70 | ``` 71 | 72 | * P156 In[72]와 In[74] 사이에 df['lng'], df['lat']를 계산하는 코드가 교재에서 빠져있습니다. 소스코드를 참조해 주세요. 누락된 코드는 아래와 같습니다. (**이경재**님 감사합니다.) 73 | 74 | ``` python 75 | lat = [] 76 | lng = [] 77 | 78 | for n in tqdm_notebook(df.index): 79 | if df['Address'][n] != 'Multiple': 80 | target_name = df['Address'][n]+', '+'Cicago' 81 | gmaps_output = gmaps.geocode(target_name) 82 | location_output = gmaps_output[0].get('geometry') 83 | lat.append(location_output['location']['lat']) 84 | lng.append(location_output['location']['lng']) 85 | 86 | else: 87 | lat.append(np.nan) 88 | lng.append(np.nan) 89 | 90 | 91 | df['lat'] = lat 92 | df['lng'] = lng 93 | df.head() 94 | ``` 95 | * P161, In[15] 코드를 실행한 후 movie.info()로 관찰해보면 데이터들이 숫자형이 아님을 알 수 있습니다. 그래서 아래 코드를 추가해서 숫자형으로 변경시켜 주어야 합니다. (**이경재**님 감사합니다.) 96 | 97 | ``` python 98 | movie['point'] = movie['point'].astype(float) 99 | ``` 100 | 101 | * 교재 대비 코드가 변경된 사항 102 | * Folium이 0.4.0으로 판올림 되면서 choropleth 명령에서 geo_str 옵션명이 geo_data 옵션명으로 변경되었습니다.. (소스코드에 모두 반영) 103 | * Folium이 0.4.0으로 판올림 되면서 circle marker 적용할때, fill=True 옵션을 반듯이 사용해야 합니다. (소스코드에 모두 반영) 104 | 105 | ### 4장 셀프 주유소는 정말 저렴할까 106 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/04.%20Self%20Oil%20Station%20price.ipynb)** 107 | 108 | 109 | * 오타 수정 110 | * P175, 가장 마지막 줄, 메일(mail.naver.com] --> **메일(mail.naver.com)** (광영님 감사합니다.) 111 | * P178, webdriver.Chrome('../drvier/chromedriver')에서 윈도우 유저들께서는 chromedriver.exe로 맥 유저들은 그대로 chromedriver로 하시면 됩니다. (pitbulls님 감사합니다.) 112 | * P178, In [11]의 두 번째 줄 driver.get("http://naver.com")의 주소는 github의 소스코드에 있는데로 수정되어야 합니다. **driver.get("http://www.opinet.co.kr/searRgSelect.do")** (광영님 감사합니다.) 113 | * P185, 우리는 학습의 목직이므로 --> **우리는 학습이 목적이므로** (김혁님 감사합니다.) 114 | * P188, 가격 정보가 기입하지 않은 --> **가격 정보가 기입되지 않은** (김혁님 감사합니다.) 115 | * P198, 대체로 '중구','중랑구'에 비싼 주유소가 몰려 있고, --> **대체로 '중구','종로구'에 비싼 주유소가 몰려 있고** 116 | 117 | 118 | * 내용 수정 119 | * (소스코드에 언급했지만) 본 책에서 다루는 유가 정보 홈페이지는 접속한 사용자의 지역을 판단해서 첫 화면을 보여줍니다. 120 | * 그러므로 페이지 178의 그림 4-14 단계에서 지역에서 서울을 손으로 선택해 주어야 합니다. 121 | * 프로그램으로 접근해야하지만, 책 내용과 유사성을 맞추기 위해 손으로 선택해 주는 것으로 하겠습니다. 122 | 123 | 124 | * 교재 대비 코드가 변경된 사항 125 | * Folium이 0.4.0으로 판올림 되면서 choropleth 명령에서 geo_str 옵션명이 geo_data 옵션명으로 변경되었습니다.. (소스코드에 모두 반영) 126 | * Folium이 0.4.0으로 판올림 되면서 circle marker 적용할때, fill=True 옵션을 반듯이 사용해야 합니다. (소스코드에 모두 반영) 127 | 128 | ### 5장 우리나라 인구 소멸 위기 지역 분석 129 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/05.%20population%20using%20Korea%20Map.ipynb)** 130 | 131 | 132 | * 교재 대비 코드가 변경된 사항 133 | * Folium이 0.4.0으로 판올림 되면서 choropleth 명령에서 geo_str 옵션명이 geo_data 옵션명으로 변경되었습니다.. (소스코드에 모두 반영) 134 | 135 | ### 6장 19대 대선 결과 분석 136 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/06.%20Election%20Result.ipynb)** 137 | 138 | 139 | * 내용수정 140 | * 6장은 아주 큰 변화가 있습니다. 바로 분석 대상이 되는 선거관리위원회 홈페이지가 변경된 것입니다. 141 | * 그래서 6장의 1절과 2절은 그 내용이 아주 많이 바뀌어야 합니다. 142 | * 그러나 6-3절 이후의 내용은 Github에서 배포하는 데이터를 이용해서 학습이 가능합니다. 143 | * 정상적으로 동작하는 코드는 다시 올려두었습니다. 세세한 내용은 해당 소스코드를 참조해 주세요. 144 | * **다시 이야기하지만 6-1절과 6-2절은 코드가 바뀌어서 Github에서 배포되는 소스코드를 확인해 주세요** 145 | * **데이터를 다운받아 사용하시면 6-3절 이후부터 학습가능합니다.** 146 | 147 | 148 | * 교재 대비 코드가 변경된 사항 149 | * Folium이 0.4.0으로 판올림 되면서 choropleth 명령에서 geo_str 옵션명이 geo_data 옵션명으로 변경되었습니다.. (소스코드에 모두 반영) 150 | 151 | ### 7장 시계열 데이터를 다뤄보자 152 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/07.%20Time%20Series%20Data%20Handle.ipynb)** 153 | 154 | * 교재 오류 수정 155 | * p276의 마지막 코드인 In[19]를 실행한 후 교재에는 없지만, 아래 코드를 실행해야 합니다. 156 | 157 | 
 forecast = m.predict(future)
158 | 		forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()
159 | 160 | * 위 코드는 Github의 7장 소스코드에는 배포되어 있지만, 저자가 출판사에 전달하는 과정에서 누락된 듯 합니다. 161 | * 본의 아니게 누를 끼쳐 독자 여러분과 관계자분들꼐 죄송합니다. 162 | * 그리고, 이를 알려주신 **s199414**님께도 감사드립니다. 없는 것을 없다고 알려주는 것이 엄청 귀찮은 일인데 정말 감사드립니다. 163 | 164 | * 7장의 마지막 부분의 holiday 예측 부분 165 | * 교재의 소제목에는 7장의 마지막에 holiday 옵션을 잡은 forecast가 있습니다. 그런데 책에서는 빠졌는데요. 166 | * 이유는 편집단계에서 이 부분 코드가 에러가 나는 경우가 많았고 이를 일반화하기가 좀 어렵다고 여겼기 때문에 교재에서는 누락하고, 대신 fb-forecast의 튜토리얼에 포함되어 있으니 소스코드에서만 소개를 하려 했습니다. 167 | * 그 과정에서 실수로 교재에는 내용만 빠지고 소제목에는 들어가는 창피한 일이 생겼습니다. 168 | * 충분한 검토를 거치지 못해 이 역시 죄송합니다. 이것도 역시 알려주신 **s199414**님께 감사드립니다. 169 | * 책에서는 소제목의 holiday가 있지만, 내용에는 없습니다. 그러나 holiday 설정이 궁금하신 분은 소스코드를 확인해 주시면 됩니다. 170 | 171 | * 중요 변경 부분 : Pandas 주식 데이터 오류 172 | * 현재 구글이든 야후든 pandas의 주식 데이터를 읽어오는데 문제가 있습니다. 이미 github에서 꽤 issue가 되고 있는듯 하지만, 아직 해결방법이 있지는 않은듯 합니다. 173 | * 최근 이 문제를 해결하기 위한 방법을 고민해주는 고마운 분들이 만들어준 모듈이 있습니다. 174 | * 터미널에서 **pip install fix_yahoo_finance**로 fix_yahoo_finance를 설치하시고 아래와 같이 코드에서 사용하시면 됩니다. 175 | 176 | ```python 177 | from pandas_datareader import data 178 | import fix_yahoo_finance as yf 179 | yf.pdr_override() 180 | 181 | start_date = '2010-03-01' 182 | end_date = '2018-02-28' 183 | KIA = data.get_data_yahoo('000270.KS', start_date, end_date) 184 | ``` 185 | 186 | * 내용수정 187 | * 7-3절에서 pandas에서 구글(google)에서 주식데이터를 가져오는데 최근 버전업 이후 이 명령이 동작하지 않습니다. 188 | * 그래서 yahoo에서 주식데이터를 가져오도록 수정되었습니다. 189 | * 일부 **daily_seasonality=True**와 같이 **Prophet** 명령을 사용할때 옵션이 교재와 달리 추가된 곳이 있습니다. 소스코드를 확인해 주세요. 190 | 191 | * 제보(by Hwaseop Song) 192 | * 아래 내용은 제 메일로 송화섭님께서 직접 보내주신 내용입니다. 다른 분들도 많은 제보를 주셨는데 대표적으로 송화섭님의 내용으로 대표합니다. 193 | * 현재(19.10.30) 기준 fix_yahoo_finance가 설치되지 않는다고 하네요. 194 | * pip install yfinance as yf 로 설치 후 195 | ```python 196 | import finance as yf 197 | ``` 198 | * 사용하시면 된다고 합니다. 199 | * 요즘 본 책의 내용이 쉽게 적용되지 않는 부분이 많아 어려움이 많으실 겁니다. 200 | * 내용을 전반적으로 수정하는 작업을 해야하는데 쉽지가 않네요.ㅠㅠ. 201 | * 다시 한 번 송화섭(Hwaseop Song)님께 감사합니다. 202 | 203 | ### 8장 자연어 처리 시작하기 204 | * 소스코드 : **[바로가기](https://github.com/PinkWink/DataScience/blob/master/source_code/08.%20Natural%20Language%20Processing.ipynb)** 205 | 206 | 207 | * 모듈 설치 208 | * KoNLPy : **pip install konlpy** 209 | * JPype1 : **conda install -c conda-forge jpype1** 210 | * 이후 Jupyter Notebook 재실행 필요 211 | * JDK 설치 : Java JDK로 검색해서 OS에 맞춰 설치 212 | * JAVA_HOME 설정 : 교재내용 참조 213 | * WordCloud 설치 : **pip install wordcloud** 214 | * gensim install : **pip install gensim** 215 | 216 | 217 | * 내용수정 218 | * P335에 있는 In125, In128 두 명령은 현 시점의 네이버 검색결과가 달라서 실행되지 않습니다. 219 | * 적절한 단어를 따로 찾아보셔도 좋습니다. 220 | -------------------------------------------------------------------------------- /data/01. CCTV_in_Seoul.csv: -------------------------------------------------------------------------------- 1 | "기관명","소계","2013년도 이전","2014년","2015년","2016년" 2 | "강남구","2780","1292","430","584","932" 3 | "강동구","773","379","99","155","377" 4 | "강북구","748","369","120","138","204" 5 | "강서구","884","388","258","184","81" 6 | "관악구","1496","846","260","390","613" 7 | "광진구","707","573","78","53","174" 8 | "구로구","1561","1142","173","246","323" 9 | "금천구","1015","674","51","269","354" 10 | "노원구","1265","542","57","451","516" 11 | "도봉구","485","238","159","42","386" 12 | "동대문구","1294","1070","23","198","579" 13 | "동작구","1091","544","341","103","314" 14 | "마포구","574","314","118","169","379" 15 | "서대문구","962","844","50","68","292" 16 | "서초구","1930","1406","157","336","398" 17 | "성동구","1062","730","91","241","265" 18 | "성북구","1464","1009","78","360","204" 19 | "송파구","618","529","21","68","463" 20 | "양천구","2034","1843","142","30","467" 21 | "영등포구","904","495","214","195","373" 22 | "용산구","1624","1368","218","112","398" 23 | "은평구","1873","1138","224","278","468" 24 | "종로구","1002","464","314","211","630" 25 | "중구","671","413","190","72","348" 26 | "중랑구","660","509","121","177","109" -------------------------------------------------------------------------------- /data/01. CCTV_result.csv: -------------------------------------------------------------------------------- 1 | 구별,소계,최근증가율,인구수,한국인,외국인,고령자,외국인비율,고령자비율,CCTV비율,오차 2 | 강남구,2780,150.61919504643964,570500.0,565550.0,4950.0,63167.0,0.8676599474145487,11.07221735319895,0.48729184925503943,1388.0553551306023 3 | 강동구,773,166.49076517150397,453233.0,449019.0,4214.0,54622.0,0.9297646023127177,12.051637899270354,0.17055245315323464,465.422892345473 4 | 강북구,748,125.20325203252031,330192.0,326686.0,3506.0,54813.0,1.0618064641178466,16.600341619421428,0.22653486456364783,329.34202601226593 5 | 강서구,884,134.7938144329897,603772.0,597248.0,6524.0,72548.0,1.080540336418383,12.015794041459358,0.14641288433382138,551.5031545095867 6 | 관악구,1496,149.29078014184398,525515.0,507203.0,18312.0,68082.0,3.4845817911953034,12.955291475980705,0.2846731301675499,162.94810447431155 7 | 광진구,707,53.22862129144852,372164.0,357211.0,14953.0,42214.0,4.017852344665255,11.34284885158156,0.18997001321997828,425.2902637682771 8 | 구로구,1561,64.97373029772329,447874.0,416487.0,31387.0,56833.0,7.007997785091343,12.68950642368166,0.3485355256165797,329.5929183410433 9 | 금천구,1015,100.0,255082.0,236353.0,18729.0,32970.0,7.342344814608635,12.925255408064857,0.39791125990857845,35.98929338766743 10 | 노원구,1265,188.929889298893,569384.0,565565.0,3819.0,71941.0,0.6707248535259157,12.634882609978504,0.22216992398802915,125.48361767660936 11 | 도봉구,485,246.6386554621849,348646.0,346629.0,2017.0,51312.0,0.5785237748317777,14.717507156255916,0.13910958393327327,616.5013412593216 12 | 동대문구,1294,74.76635514018692,369496.0,354079.0,15417.0,54173.0,4.172440297053283,14.661322450040053,0.3502067681382207,165.20258618724188 13 | 동작구,1091,139.33823529411765,412520.0,400456.0,12064.0,56013.0,2.9244642683991082,13.578250751478716,0.2644720255987588,94.12289225587801 14 | 마포구,574,212.1019108280255,389649.0,378566.0,11083.0,48765.0,2.844354791106868,12.515109752623516,0.14731206804072383,581.1809989527776 15 | 서대문구,962,48.5781990521327,327163.0,314982.0,12181.0,48161.0,3.7232205353294843,14.720796667104777,0.2940430305382944,111.37656779814779 16 | 서초구,1930,63.37126600284495,450310.0,445994.0,4316.0,51733.0,0.9584508449734627,11.488308054451378,0.4285936354955475,695.4037944686129 17 | 성동구,1062,81.78082191780823,311244.0,303380.0,7864.0,39997.0,2.5266350515993885,12.850689491203044,0.3412113968462043,9.464016325504645 18 | 성북구,1464,63.62735381565907,461260.0,449773.0,11487.0,64692.0,2.4903525126826516,14.025061787278325,0.3173914928673633,215.06844701249156 19 | 송파구,618,104.34782608695652,667483.0,660584.0,6899.0,72506.0,1.0335843759316716,10.862598747833278,0.09258662767441268,900.9113117494901 20 | 양천구,2034,34.67173087357569,479978.0,475949.0,4029.0,52975.0,0.8394134731175179,11.036964194192233,0.42376942276521007,760.5635124295072 21 | 영등포구,904,157.97979797979798,402985.0,368072.0,34913.0,52413.0,8.663597900666279,13.006191297442832,0.22432596746777173,268.6400120737669 22 | 용산구,1624,53.216374269005854,244203.0,229456.0,14747.0,36231.0,6.038828351822049,14.836427070920505,0.6650204952437112,659.2316901890504 23 | 은평구,1873,85.23725834797891,494388.0,489943.0,4445.0,72334.0,0.899091401894868,14.631018552230232,0.3788522375138555,580.6984570100822 24 | 종로구,1002,248.92241379310346,162820.0,153589.0,9231.0,25425.0,5.669450927404496,15.61540351308193,0.615403513081931,143.77539630973706 25 | 중구,671,147.6997578692494,133240.0,124312.0,8928.0,20764.0,6.700690483338337,15.583908736115282,0.5036025217652357,148.49952809646675 26 | 중랑구,660,79.96070726915521,414503.0,409882.0,4621.0,56774.0,1.114829084469835,13.696885185390698,0.15922683309891605,527.7189647677947 27 | -------------------------------------------------------------------------------- /data/01. population_in_Seoul.xls: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PinkWink/DataScience/b0a76c96ea266d5e69285fea35fc95accc4fd25d/data/01. population_in_Seoul.xls -------------------------------------------------------------------------------- /data/02. crime_in_Seoul.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PinkWink/DataScience/b0a76c96ea266d5e69285fea35fc95accc4fd25d/data/02. crime_in_Seoul.csv -------------------------------------------------------------------------------- /data/02. crime_in_Seoul_final.csv: -------------------------------------------------------------------------------- 1 | 구별,강간,강도,살인,절도,폭력,강간검거율,강도검거율,살인검거율,절도검거율,폭력검거율,인구수,CCTV,범죄,검거 2 | 강남구,0.9999999999999998,0.9411764705882353,0.9166666666666666,0.9534724598015737,0.6613856703712462,77.728285077951,85.71428571428571,76.92307692307693,42.857142857142854,86.48459383753502,570500.0,2780,0.8945402534855443,85.46306611114227 3 | 강동구,0.1556195965417867,0.05882352941176466,0.16666666666666666,0.4457748888128634,0.28966658784582644,78.84615384615384,100.0,75.0,33.34742180896027,82.89085545722715,453233.0,773,0.22331025385578157,85.55022576390748 4 | 강북구,0.14697406340057634,0.5294117647058822,0.41666666666666663,0.12692439274717754,0.2747694490423268,82.35294117647058,92.85714285714286,100.0,43.09623430962343,88.63722159305398,330192.0,748,0.2989492673125259,94.07072761768072 5 | 관악구,0.6282420749279538,0.41176470588235287,0.5833333333333334,0.5620937393089291,0.42823362497044226,69.0625,100.0,88.88888888888889,30.56171470805617,80.10915706488781,525515.0,1496,0.5227334956846023,85.21222448195587 6 | 광진구,0.39769452449567716,0.5294117647058822,0.16666666666666666,0.6715703044816969,0.26909434854575554,91.66666666666666,100.0,100.0,42.2009253139458,83.04761904761905,372164.0,707,0.4068875217791357,96.37581975731734 7 | 구로구,0.515850144092219,0.588235294117647,0.5,0.43516934656175155,0.35942303144951526,58.362989323843415,73.33333333333333,75.0,38.07280513918629,80.87795144662454,447874.0,1561,0.4797355632442265,75.27790635466599 8 | 금천구,0.14121037463976943,0.05882352941176466,0.08333333333333334,0.17242559014710912,0.13407424923149686,80.79470198675497,100.0,100.0,56.66879387364391,86.46543330087634,255082.0,1015,0.1179734153526947,97.9971394327299 9 | 노원구,0.2737752161383285,0.11764705882352938,0.6666666666666666,0.3865891207663359,0.2922676755734216,61.42131979695431,100.0,100.0,36.52530779753762,85.53066470804261,569384.0,1265,0.3473891475936564,88.64617415331136 10 | 도봉구,0.0,0.23529411764705882,0.08333333333333334,0.0,0.0,100.0,100.0,100.0,44.96707431796801,87.62609280430397,348646.0,485,0.06372549019607843,100.0 11 | 동대문구,0.20461095100864551,0.4705882352941176,0.24999999999999997,0.3140608963393773,0.25088673445258924,84.39306358381504,100.0,100.0,41.090358404846036,87.40188383045526,369496.0,1294,0.298029363418946,95.44425044106504 12 | 동작구,0.5273775216138328,0.23529411764705882,0.24999999999999997,0.2743756414642491,0.10002364625206905,48.771929824561404,55.55555555555556,100.0,35.442359249329755,83.0890052356021,412520.0,1091,0.27741418539544194,74.63336788530299 13 | 마포구,0.5533141210374639,0.5294117647058822,0.5,0.5104344851180294,0.353747930952944,84.01360544217688,71.42857142857143,100.0,31.81996086105675,84.44518940663761,389649.0,574,0.4893816603628639,85.92538102511915 14 | 서대문구,0.1498559077809798,0.0,0.0,0.25624358535750935,0.13454717427287777,80.51948051948052,80.0,100.0,40.728476821192054,83.21984435797665,327163.0,962,0.10812933348227338,88.87514434317907 15 | 서초구,0.8386167146974062,0.23529411764705882,0.5,0.5378036264112214,0.21565381886970914,63.358778625954194,66.66666666666666,75.0,41.40417457305503,87.45310546060858,450310.0,1930,0.4654736555250791,77.1816918763104 16 | 성동구,0.06916426512968299,0.23529411764705882,0.16666666666666666,0.18611016079370513,0.029557815086308836,94.44444444444444,88.88888888888889,100.0,37.14996888612321,86.53846153846155,311244.0,1062,0.1373586050646845,94.08881015517144 17 | 성북구,0.13832853025936598,0.0,0.24999999999999997,0.24700650017105708,0.1707259399385198,82.66666666666667,80.0,100.0,41.51260504201681,83.97464916251698,461260.0,1464,0.16121219407378856,89.72724267775804 18 | 송파구,0.340057636887608,0.4705882352941176,0.75,0.7444406431748204,0.42752423740837076,80.9090909090909,76.92307692307693,90.9090909090909,34.85643717196666,84.55235204855842,667483.0,618,0.5465221505529834,85.10306586921345 19 | 양천구,0.8069164265129682,0.8235294117647058,0.6666666666666666,0.9999999999999999,1.0,77.4869109947644,84.21052631578947,100.0,48.469643753135976,83.06508047585724,479978.0,2034,0.8594225009888682,90.90114949235905 20 | 영등포구,0.5561959654178674,1.0,0.9999999999999999,0.6503592199794731,0.4930243556396311,62.03389830508475,90.9090909090909,85.71428571428571,32.99595141700405,82.89473684210526,402985.0,904,0.7399159082073943,81.95875250321699 21 | 용산구,0.2651296829971181,0.5294117647058822,0.24999999999999997,0.16900444748546017,0.13312839914873498,89.17525773195877,100.0,100.0,37.70070648683366,83.1219512195122,244203.0,1624,0.26933485886743913,94.77678951004307 22 | 은평구,0.18443804034582129,0.23529411764705882,0.08333333333333334,0.2911392405063291,0.27571529912508874,84.93975903614458,66.66666666666666,100.0,37.14733542319749,86.92046739540143,494388.0,1873,0.21398400619152627,86.84238612008086 23 | 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검거,폭력 발생,폭력 검거,구별 2 | 0,중부서,2,2,3,2,105,65,1395,477,1355,1170,중구 3 | 1,종로서,3,3,6,5,115,98,1070,413,1278,1070,종로구 4 | 2,남대문서,1,0,6,4,65,46,1153,382,869,794,중구 5 | 3,서대문서,2,2,5,4,154,124,1812,738,2056,1711,서대문구 6 | 4,혜화서,3,2,5,4,96,63,1114,424,1015,861,종로구 7 | 5,용산서,5,5,14,14,194,173,1557,587,2050,1704,용산구 8 | 6,성북서,2,2,2,1,86,71,953,409,1194,1015,성북구 9 | 7,동대문서,5,5,13,13,173,146,1981,814,2548,2227,동대문구 10 | 8,마포서,8,8,14,10,294,247,2555,813,2983,2519,마포구 11 | 9,영등포서,14,12,22,20,295,183,2964,978,3572,2961,영등포구 12 | 10,성동서,4,4,9,8,126,119,1607,597,1612,1395,성동구 13 | 11,동작서,5,5,9,5,285,139,1865,661,1910,1587,동작구 14 | 12,광진서,4,4,14,26,240,220,3026,1277,2625,2180,광진구 15 | 13,서부서,2,2,2,1,70,59,819,293,1192,1038,은평구 16 | 14,강북서,7,8,14,13,153,126,1434,618,2649,2348,강북구 17 | 15,금천서,3,4,6,6,151,122,1567,888,2054,1776,금천구 18 | 16,중랑서,13,12,11,9,187,148,2135,829,2847,2407,중랑구 19 | 17,강남서,3,3,15,12,300,225,2411,984,2465,2146,강남구 20 | 18,관악서,9,8,12,14,320,221,2706,827,3298,2642,관악구 21 | 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IN,8.4 16 | IA,5.1 17 | KS,5.6 18 | KY,8.1 19 | LA,5.9 20 | ME,7.2 21 | MD,6.8 22 | MA,6.7 23 | MI,9.1 24 | MN,5.6 25 | MS,9.1 26 | MO,6.7 27 | MT,5.8 28 | NE,3.9 29 | NV,10.3 30 | NH,5.7 31 | NJ,9.6 32 | NM,6.8 33 | NY,8.4 34 | NC,9.4 35 | ND,3.2 36 | OH,6.9 37 | OK,5.2 38 | OR,8.5 39 | PA,8 40 | RI,10.1 41 | SC,8.8 42 | SD,4.4 43 | TN,7.8 44 | TX,6.4 45 | UT,5.5 46 | VT,5 47 | VA,5.8 48 | WA,7.8 49 | WV,7.5 50 | WI,6.8 51 | WY,5.1 -------------------------------------------------------------------------------- /data/02. sales-funnel.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PinkWink/DataScience/b0a76c96ea266d5e69285fea35fc95accc4fd25d/data/02. sales-funnel.xlsx -------------------------------------------------------------------------------- /data/02. skorea_municipalities_geo_simple.json: -------------------------------------------------------------------------------- 1 | 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Bologna,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Au-Cheval-Fried-Bologna/ 4 | 2,3,Xoco,Woodland Mushroom,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Xoco-Woodland-Mushroom/ 5 | 3,4,Al’s Deli,Roast Beef,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Als-Deli-Roast-Beef/ 6 | 4,5,Publican Quality Meats,PB&L,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Publican-Quality-Meats-PB-L/ 7 | 5,6,Hendrickx Belgian Bread Crafter,Belgian Chicken Curry Salad,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Hendrickx-Belgian-Bread-Crafter-Belgian-Chicken-Curry-Salad/ 8 | 6,7,Acadia,Lobster Roll,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Acadia-Lobster-Roll/ 9 | 7,8,Birchwood Kitchen,Smoked Salmon Salad,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Birchwood-Kitchen-Smoked-Salmon-Salad/ 10 | 8,9,Cemitas Puebla,Atomica Cemitas,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Cemitas-Puebla-Atomica-Cemitas/ 11 | 9,10,Nana,Grilled Laughing Bird Shrimp and Fried Po’ Boy,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Nana-Grilled-Laughing-Bird-Shrimp-and-Fried-Oyster-Po-Boy/ 12 | 10,11,Lula Cafe,Ham and Raclette Panino,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Lula-Cafe-Ham-and-Raclette-Panino/ 13 | 11,12,Ricobene’s,Breaded Steak,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Ricobenes-Breaded-Steak/ 14 | 12,13,Frog n Snail,The Hawkeye,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Frog-n-Snail-The-Hawkeye/ 15 | 13,14,Crosby’s Kitchen,Chicken Dip,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Crosbys-Kitchen-Chicken-Dip/ 16 | 14,15,Longman & Eagle,Wild Boar Sloppy Joe,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Longman-and-Eagle-Wild-Boar-Sloppy-Joe/ 17 | 15,16,Bari,Meatball Sub,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Bari-Meatball-Sub/ 18 | 16,17,Manny’s,Corned Beef,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Mannys-Corned-Beef/ 19 | 17,18,Eggy’s,Turkey Club,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Eggys-Turkey-Club/ 20 | 18,19,Old Jerusalem,Falafel,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Old-Jerusalem-Falafel/ 21 | 19,20,Mindy’s HotChocolate,Crab Cake,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Mindys-HotChocolate-Crab-Cake/ 22 | 20,21,Olga’s Delicatessen,Chicken Schnitzel,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Olgas-Delicatessen-Chicken-Schnitzel/ 23 | 21,22,Dawali Mediterranean Kitchen,Shawarma,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Dawali-Mediterranean-Kitchen-Shawarma/ 24 | 22,23,Big Jones,Toasted Pimiento Cheese,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Big-Jones-Toasted-Pimiento-Cheese/ 25 | 23,24,La Pane,Vegetarian Panino,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-La-Pane-Vegetarian-Panino/ 26 | 24,25,Pastoral,Cali Chèvre,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Pastoral-Cali-Chevre/ 27 | 25,26,Max’s Deli,Pastrami,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Maxs-Deli-Pastrami/ 28 | 26,27,Lucky’s Sandwich Co.,The Fredo,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Luckys-Sandwich-Co-The-Fredo/ 29 | 27,28,City Provisions,Smoked Ham,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-City-Provisions-Smoked-Ham/ 30 | 28,29,Papa’s Cache Sabroso,Jibarito,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Papas-Cache-Sabroso-Jibarito/ 31 | 29,30,Bavette’s Bar & Boeuf,Shaved Prime Rib,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Bavettes-Bar-and-Boeuf-Shaved-Prime-Rib/ 32 | 30,31,Hannah’s Bretzel,Serrano Ham and Manchego Cheese,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Hannahs-Bretzel-Serrano-Ham-and-Manchego-Cheese/ 33 | 31,32,La Fournette,Tuna Salad,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-La-Fournette-Tuna-Salad/ 34 | 32,33,Paramount Room,Paramount Reuben,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Paramount-Room-Paramount-Reuben/ 35 | 33,34,Melt Sandwich Shoppe,The Istanbul,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Melt-Sandwich-Shoppe-The-Istanbul/ 36 | 34,35,Floriole Cafe & Bakery,B.A.D.,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Floriole-Cafe-and-Bakery-BAD/ 37 | 35,36,First Slice Pie Café,Duck Confit and Mozzarella,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-First-Slice-Pie-Cafe-Duck-Confit-and-Mozzarella/ 38 | 36,37,Troquet,Croque Monsieur,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Troquet-Croque-Monsieur/ 39 | 37,38,Grahamwich,Green Garbanzo,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Grahamwich-Green-Garbanzo/ 40 | 38,39,Saigon Sisters,The Hen House,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Saigon-Sisters-The-Hen-House/ 41 | 39,40,Rosalia’s Deli,Tuscan Chicken,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Rosalias-Deli-Tuscan-Chicken/ 42 | 40,41,Z&H MarketCafe,The Marty ,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Z-and-H-MarketCafe-The-Marty/ 43 | 41,42,Market House on the Square,Whitefish,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Market-House-on-the-Square-Whitefish/ 44 | 42,43,Elaine’s Coffee Call,"Oat Bread, Pecan Butter, and Fruit Jam",http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Elaines-Coffee-Call-Oat-Bread-Pecan-Butter-and-Fruit-Jam/ 45 | 43,44,Marion Street Cheese Market,Cauliflower Melt,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Marion-Street-Cheese-Market-Cauliflower-Melt/ 46 | 44,45,Cafecito,Cubana,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Cafecito-Cubano/ 47 | 45,46,Chickpea,Kufta,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Chickpea-Kufta/ 48 | 46,47,The Goddess and Grocer,Debbie’s Egg Salad,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-The-Goddess-and-Grocer-Debbies-Egg-Salad/ 49 | 47,48,Zenwich,Beef Curry,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Zenwich-Beef-Curry/ 50 | 48,49,Toni Patisserie,Le Végétarien,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Toni-Patisserie-Le-Vegetarien/ 51 | 49,50,Phoebe’s Bakery,The Gatsby,http://www.chicagomag.com/Chicago-Magazine/November-2012/Best-Sandwiches-in-Chicago-Phoebes-Bakery-The-Gatsby/ 52 | -------------------------------------------------------------------------------- /data/03. best_sandwiches_list_chicago2.csv: -------------------------------------------------------------------------------- 1 | Rank,Cafe,Menu,Price,Address 2 | 1,Old Oak Tap,BLT,$10,"2109 W. Chicago Ave.," 3 | 2,Au Cheval,Fried Bologna,$9,"800 W. Randolph St.," 4 | 3,Xoco,Woodland Mushroom,$9.50,"445 N. Clark St.," 5 | 4,Al’s Deli,Roast Beef,$9.40,"914 Noyes St., Evanston," 6 | 5,Publican Quality Meats,PB&L,$10,"825 W. Fulton Mkt.," 7 | 6,Hendrickx Belgian Bread Crafter,Belgian Chicken Curry Salad,$7.25,100 E. Walton 8 | 7,Acadia,Lobster Roll,$16,"1639 S. Wabash Ave.," 9 | 8,Birchwood Kitchen,Smoked Salmon Salad,$10,"2211 W. North Ave.," 10 | 9,Cemitas Puebla,Atomica Cemitas,$9,"3619 W. North Ave.," 11 | 10,Nana,Grilled Laughing Bird Shrimp and Fried Po’ Boy,$17,"3267 S. Halsted St.," 12 | 11,Lula Cafe,Ham and Raclette Panino,$11,"2537 N. Kedzie Blvd.," 13 | 12,Ricobene’s,Breaded Steak,$5.49,Multiple 14 | 13,Frog n Snail,The Hawkeye,$14,"3124 N. Broadway," 15 | 14,Crosby’s Kitchen,Chicken Dip,$10,"3455 N. Southport Ave.," 16 | 15,Longman & Eagle,Wild Boar Sloppy Joe,$13,"2657 N. Kedzie Ave.," 17 | 16,Bari,Meatball Sub,$4.50,"1120 W. Grand Ave.," 18 | 17,Manny’s,Corned Beef,$11.95,"1141 S. Jefferson St.," 19 | 18,Eggy’s,Turkey Club,$11.50,"333 E. Benton Pl.," 20 | 19,Old Jerusalem,Falafel,$6.25,"1411 N. Wells St.," 21 | 20,Mindy’s HotChocolate,Crab Cake,$15,"1747 N. Damen Ave.," 22 | 21,Olga’s Delicatessen,Chicken Schnitzel,$5,3209 W. Irving Park 23 | 22,Dawali Mediterranean Kitchen,Shawarma,$6,Multiple 24 | 23,Big Jones,Toasted Pimiento Cheese,$8,"5347 N. Clark St.," 25 | 24,La Pane,Vegetarian Panino,$5.99,"2954 W. Irving Park Rd.," 26 | 25,Pastoral,Cali Chèvre,$7.52,Multiple 27 | 26,Max’s Deli,Pastrami,$11.95,"191 Skokie Valley Rd., Highland Park," 28 | 27,Lucky’s Sandwich Co.,The Fredo,$7.50,Multiple 29 | 28,City Provisions,Smoked Ham,$12.95,"1818 W. Wilson Ave.," 30 | 29,Papa’s Cache Sabroso,Jibarito,$7,"2517 W. Division St.," 31 | 30,Bavette’s Bar & Boeuf,Shaved Prime Rib,$21,218 W. Kinzie 32 | 31,Hannah’s Bretzel,Serrano Ham and Manchego Cheese,$9.79,Multiple 33 | 32,La Fournette,Tuna Salad,$9.75,"1547 N. Wells St.," 34 | 33,Paramount Room,Paramount Reuben,$13,"415 N. Milwaukee Ave.," 35 | 34,Melt Sandwich Shoppe,The Istanbul,$7.95,"1840 N. Damen Ave.," 36 | 35,Floriole Cafe & Bakery,B.A.D.,$9,"1220 W. Webster Ave.," 37 | 36,First Slice Pie Café,Duck Confit and Mozzarella,$9,"5357 N. Ashland Ave.," 38 | 37,Troquet,Croque Monsieur,$8,"1834 W. Montrose Ave.," 39 | 38,Grahamwich,Green Garbanzo,$8,"615 N. State St.," 40 | 39,Saigon Sisters,The Hen House,$7,Multiple 41 | 40,Rosalia’s Deli,Tuscan Chicken,$6,"241 N. York Rd., Elmhurst," 42 | 41,Z&H MarketCafe,The Marty ,$7.25,"1323 E. 57th St.," 43 | 42,Market House on the Square,Whitefish,$11,"655 Forest Ave., Lake Forest," 44 | 43,Elaine’s Coffee Call,"Oat Bread, Pecan Butter, and Fruit Jam",$6,"Hotel Lincoln, 1816 N. Clark St.," 45 | 44,Marion Street Cheese Market,Cauliflower Melt,$9,"100 S. Marion St., Oak Park," 46 | 45,Cafecito,Cubana,$5.49,"26 E. Congress Pkwy.," 47 | 46,Chickpea,Kufta,$8,"2018 W. Chicago Ave.," 48 | 47,The Goddess and Grocer,Debbie’s Egg Salad,$6.50,"25 E. Delaware Pl.," 49 | 48,Zenwich,Beef Curry,$7.50,"416 N. York St., Elmhurst," 50 | 49,Toni Patisserie,Le Végétarien,$8.75,"65 E. Washington St.," 51 | 50,Phoebe’s Bakery,The Gatsby,$6.85,"3351 N. Broadway," 52 | -------------------------------------------------------------------------------- /data/03. test_first.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | Very Simple HTML Code by PinkWink 5 | 6 | 7 |
8 |

9 | Happy PinkWink. 10 | PinkWink 11 |

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13 | Happy Data Science. 14 | Python 15 |

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23 | 24 | All I need is Love. 25 | 26 |

27 | 28 | -------------------------------------------------------------------------------- /data/05. draw_korea.csv: -------------------------------------------------------------------------------- 1 | ,y,x,ID 2 | 0,0,7,철원 3 | 1,0,8,화천 4 | 2,0,9,양구 5 | 3,0,10,고성(강원) 6 | 4,1,3,양주 7 | 5,1,4,동두천 8 | 6,1,5,연천 9 | 7,1,6,포천 10 | 8,1,7,의정부 11 | 9,1,8,인제 12 | 10,1,9,춘천 13 | 11,1,10,속초 14 | 12,2,3,고양 덕양 15 | 13,2,4,고양 일산동 16 | 14,2,5,서울 도봉 17 | 15,2,6,서울 노원 18 | 16,2,7,남양주 19 | 17,2,8,홍천 20 | 18,2,9,횡성 21 | 19,2,10,양양 22 | 20,3,2,파주 23 | 21,3,3,고양 일산서 24 | 22,3,4,김포 25 | 23,3,5,서울 강북 26 | 24,3,6,서울 성북 27 | 25,3,7,가평 28 | 26,3,8,구리 29 | 27,3,9,하남 30 | 28,3,10,정선 31 | 29,3,11,강릉 32 | 30,4,2,부천 소사 33 | 31,4,3,안양 만안 34 | 32,4,4,광명 35 | 33,4,5,서울 서대문 36 | 34,4,6,서울 종로 37 | 35,4,7,서울 동대문 38 | 36,4,8,서울 중랑 39 | 37,4,9,양평 40 | 38,4,10,태백 41 | 39,4,11,동해 42 | 40,5,1,인천 강화 43 | 41,5,2,부천 원미 44 | 42,5,3,안양 동안 45 | 43,5,4,서울 은평 46 | 44,5,5,서울 마포 47 | 45,5,6,서울 중구 48 | 46,5,7,서울 성동 49 | 47,5,8,서울 강동 50 | 48,5,9,여주 51 | 49,5,10,원주 52 | 50,5,11,삼척 53 | 51,6,1,인천 서구 54 | 52,6,2,부천 오정 55 | 53,6,3,시흥 56 | 54,6,4,서울 강서 57 | 55,6,5,서울 동작 58 | 56,6,6,서울 용산 59 | 57,6,7,서울 광진 60 | 58,6,8,서울 송파 61 | 59,6,9,이천 62 | 60,6,10,평창 63 | 61,6,11,울진 64 | 62,7,1,인천 동구 65 | 63,7,2,인천 계양 66 | 64,7,3,안산 상록 67 | 65,7,4,서울 양천 68 | 66,7,5,서울 관악 69 | 67,7,6,서울 서초 70 | 68,7,7,성남 중원 71 | 69,7,8,과천 72 | 70,7,9,광주 73 | 71,7,10,영월 74 | 72,7,11,영덕 75 | 73,8,2,인천 부평 76 | 74,8,3,안산 단원 77 | 75,8,4,서울 영등포 78 | 76,8,5,서울 금천 79 | 77,8,6,서울 강남 80 | 78,8,7,성남 분당 81 | 79,8,8,성남 수정 82 | 80,8,9,용인 수지 83 | 81,8,10,문경 84 | 82,8,11,봉화 85 | 83,8,13,울릉 86 | 84,9,1,인천 중구 87 | 85,9,2,인천 남구 88 | 86,9,3,화성 89 | 87,9,4,서울 구로 90 | 88,9,5,군포 91 | 89,9,6,의왕 92 | 90,9,7,수원 영통 93 | 91,9,8,용인 기흥 94 | 92,9,9,용인 처인 95 | 93,9,10,안동 96 | 94,9,11,영양 97 | 95,10,0,인천 옹진 98 | 96,10,1,인천 연수 99 | 97,10,2,인천 남동 100 | 98,10,3,오산 101 | 99,10,4,안성 102 | 100,10,5,수원 권선 103 | 101,10,6,수원 장안 104 | 102,10,7,제천 105 | 103,10,8,예천 106 | 104,10,9,영주 107 | 105,10,10,구미 108 | 106,10,11,청송 109 | 107,10,12,포항 북구 110 | 108,11,0,태안 111 | 109,11,1,아산 112 | 110,11,2,천안 동남 113 | 111,11,3,천안 서북 114 | 112,11,4,평택 115 | 113,11,5,음성 116 | 114,11,6,수원 팔달 117 | 115,11,7,단양 118 | 116,11,8,상주 119 | 117,11,9,김천 120 | 118,11,10,군위 121 | 119,11,11,의성 122 | 120,11,12,포항 남구 123 | 121,12,1,당진 124 | 122,12,2,홍성 125 | 123,12,3,예산 126 | 124,12,4,공주 127 | 125,12,5,진천 128 | 126,12,6,충주 129 | 127,12,7,청주 흥덕 130 | 128,12,8,괴산 131 | 129,12,9,칠곡 132 | 130,12,10,영천 133 | 131,12,11,경산 134 | 132,12,12,경주 135 | 133,13,1,서산 136 | 134,13,2,보령 137 | 135,13,3,청양 138 | 136,13,4,세종 139 | 137,13,5,대전 대덕 140 | 138,13,6,증평 141 | 139,13,7,청주 청원 142 | 140,13,8,보은 143 | 141,13,9,고령 144 | 142,13,10,청도 145 | 143,13,11,성주 146 | 144,13,12,울산 북구 147 | 145,14,2,부여 148 | 146,14,3,논산 149 | 147,14,4,계룡 150 | 148,14,5,대전 동구 151 | 149,14,6,청주 상당 152 | 150,14,7,청주 서원 153 | 151,14,8,대구 북구 154 | 152,14,9,대구 중구 155 | 153,14,10,대구 수성 156 | 154,14,11,울산 울주 157 | 155,14,12,울산 동구 158 | 156,15,2,서천 159 | 157,15,3,금산 160 | 158,15,4,대전 유성 161 | 159,15,5,대전 중구 162 | 160,15,6,옥천 163 | 161,15,7,영동 164 | 162,15,8,대구 서구 165 | 163,15,9,대구 남구 166 | 164,15,10,대구 동구 167 | 165,15,11,울산 중구 168 | 166,15,12,울산 남구 169 | 167,16,2,군산 170 | 168,16,3,익산 171 | 169,16,4,대전 서구 172 | 170,16,5,무주 173 | 171,16,6,거창 174 | 172,16,7,합천 175 | 173,16,8,대구 달서 176 | 174,16,9,대구 달성 177 | 175,16,10,부산 금정 178 | 176,16,11,부산 동래 179 | 177,16,12,부산 기장 180 | 178,17,2,부안 181 | 179,17,3,김제 182 | 180,17,4,완주 183 | 181,17,5,장수 184 | 182,17,6,함양 185 | 183,17,7,창녕 186 | 184,17,8,밀양 187 | 185,17,9,부산 북구 188 | 186,17,10,부산 부산진 189 | 187,17,11,부산 연제 190 | 188,17,12,부산 해운대 191 | 189,18,1,고창 192 | 190,18,2,정읍 193 | 191,18,3,전주 덕진 194 | 192,18,4,진안 195 | 193,18,5,남원 196 | 194,18,6,진주 197 | 195,18,7,의령 198 | 196,18,8,부산 강서 199 | 197,18,9,부산 사상 200 | 198,18,10,부산 동구 201 | 199,18,11,부산 중구 202 | 200,19,1,영광 203 | 201,19,2,장성 204 | 202,19,3,전주 완산 205 | 203,19,4,임실 206 | 204,19,5,산청 207 | 205,19,6,함안 208 | 206,19,7,양산 209 | 207,19,8,창원 합포 210 | 208,19,9,부산 서구 211 | 209,19,10,부산 사하 212 | 210,19,11,부산 남구 213 | 211,20,1,함평 214 | 212,20,2,담양 215 | 213,20,3,순창 216 | 214,20,4,구례 217 | 215,20,5,하동 218 | 216,20,6,창원 의창 219 | 217,20,7,창원 성산 220 | 218,20,8,창원 진해 221 | 219,20,9,김해 222 | 220,20,10,부산 영도 223 | 221,20,11,부산 수영 224 | 222,21,0,신안 225 | 223,21,1,무안 226 | 224,21,2,광주 광산 227 | 225,21,3,곡성 228 | 226,21,4,화순 229 | 227,21,5,광양 230 | 228,21,6,사천 231 | 229,21,7,창원 회원 232 | 230,21,8,통영 233 | 231,22,0,목포 234 | 232,22,1,나주 235 | 233,22,2,광주 서구 236 | 234,22,3,광주 북구 237 | 235,22,4,순천 238 | 236,22,5,고흥 239 | 237,22,6,남해 240 | 238,22,7,고성(경남) 241 | 239,22,8,거제 242 | 240,23,0,해남 243 | 241,23,1,영암 244 | 242,23,2,광주 남구 245 | 243,23,3,광주 동구 246 | 244,23,4,여수 247 | 245,24,0,진도 248 | 246,24,1,강진 249 | 247,24,2,장흥 250 | 248,24,3,보성 251 | 249,25,2,완도 252 | 250,25,5,제주 253 | 251,26,5,서귀포 254 | -------------------------------------------------------------------------------- /data/05. draw_korea_raw.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PinkWink/DataScience/b0a76c96ea266d5e69285fea35fc95accc4fd25d/data/05. draw_korea_raw.xlsx -------------------------------------------------------------------------------- /data/05. election_result.csv: -------------------------------------------------------------------------------- 1 | ,광역시도,시군,pop,moon,hong,ahn 2 | 0,서울특별시,종로구,102566.0,42512.0,22325.0,22313.0 3 | 1,서울특별시,중구,82852.0,34062.0,17901.0,19372.0 4 | 2,서울특별시,용산구,148157.0,58081.0,35230.0,32109.0 5 | 3,서울특별시,성동구,203175.0,86686.0,40566.0,45674.0 6 | 4,서울특별시,광진구,240030.0,105512.0,46368.0,52824.0 7 | 5,서울특별시,동대문구,236092.0,98958.0,51631.0,53359.0 8 | 6,서울특별시,중랑구,265706.0,111450.0,56545.0,62778.0 9 | 7,서울특별시,성북구,295866.0,129263.0,57584.0,66518.0 10 | 8,서울특별시,강북구,210614.0,89645.0,42268.0,51669.0 11 | 9,서울특별시,도봉구,229233.0,94898.0,47461.0,55600.0 12 | 10,서울특별시,노원구,374213.0,158167.0,67590.0,96325.0 13 | 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49,인천광역시,중구,69220.0,28030.0,16139.0,15405.0 52 | 50,인천광역시,동구,44672.0,16501.0,11446.0,10479.0 53 | 51,인천광역시,남구,254020.0,96338.0,60603.0,61034.0 54 | 52,인천광역시,연수구,208175.0,85853.0,41920.0,48166.0 55 | 53,인천광역시,남동구,327425.0,136132.0,66178.0,77693.0 56 | 54,인천광역시,부평구,345398.0,146859.0,66560.0,82590.0 57 | 55,인천광역시,계양구,205824.0,88890.0,37234.0,48622.0 58 | 56,인천광역시,서구,306672.0,132399.0,56236.0,72248.0 59 | 57,인천광역시,강화군,43938.0,12153.0,17041.0,9559.0 60 | 58,인천광역시,옹진군,14747.0,3935.0,5834.0,3092.0 61 | 59,광주광역시,동구,66287.0,37053.0,1308.0,23438.0 62 | 60,광주광역시,서구,204787.0,124183.0,3182.0,62218.0 63 | 61,광주광역시,남구,146037.0,85642.0,2521.0,47663.0 64 | 62,광주광역시,북구,292001.0,177850.0,4241.0,88501.0 65 | 63,광주광역시,광산구,248209.0,159119.0,3630.0,65402.0 66 | 64,대전광역시,동구,143823.0,57580.0,33015.0,34729.0 67 | 65,대전광역시,중구,157397.0,62115.0,37657.0,37504.0 68 | 66,대전광역시,서구,307774.0,133604.0,59593.0,70732.0 69 | 67,대전광역시,유성구,218087.0,103313.0,35445.0,47081.0 70 | 68,대전광역시,대덕구,118816.0,47933.0,25666.0,28723.0 71 | 69,울산광역시,중구,157051.0,56657.0,47625.0,26458.0 72 | 70,울산광역시,남구,219569.0,80662.0,63331.0,39040.0 73 | 71,울산광역시,동구,109054.0,44931.0,23701.0,19290.0 74 | 72,울산광역시,북구,122933.0,52058.0,26596.0,20115.0 75 | 73,울산광역시,울주군,136353.0,48486.0,42349.0,23617.0 76 | 74,세종특별자치시,세종특별자치시,152801.0,77767.0,23211.0,32010.0 77 | 75,경기도,수원시장안구,190917.0,81392.0,37143.0,43344.0 78 | 76,경기도,수원시권선구,222078.0,95263.0,42801.0,51061.0 79 | 77,경기도,수원시팔달구,123458.0,49814.0,27782.0,28228.0 80 | 78,경기도,수원시영통구,220307.0,105181.0,33354.0,46872.0 81 | 79,경기도,성남시수정구,149414.0,63867.0,28395.0,36752.0 82 | 80,경기도,성남시중원구,146801.0,62729.0,27896.0,36512.0 83 | 81,경기도,성남시분당구,338076.0,139853.0,71332.0,74040.0 84 | 82,경기도,의정부시,270404.0,110580.0,57027.0,65003.0 85 | 83,경기도,안양시만안구,167995.0,70454.0,35189.0,38671.0 86 | 84,경기도,안양시동안구,230674.0,101278.0,43072.0,51966.0 87 | 85,경기도,부천시,543777.0,239697.0,100544.0,128297.0 88 | 86,경기도,광명시,218795.0,97959.0,39081.0,51958.0 89 | 87,경기도,평택시,273677.0,104574.0,62827.0,64057.0 90 | 88,경기도,양주시,121344.0,46286.0,29739.0,28469.0 91 | 89,경기도,동두천시,55487.0,19444.0,15733.0,12808.0 92 | 90,경기도,안산시상록구,226266.0,98564.0,39723.0,55067.0 93 | 91,경기도,안산시단원구,187253.0,80771.0,33862.0,45779.0 94 | 92,경기도,고양시덕양구,287087.0,120063.0,55157.0,61581.0 95 | 93,경기도,고양시일산동구,188297.0,81622.0,34980.0,41166.0 96 | 94,경기도,고양시일산서구,192610.0,85919.0,35147.0,41563.0 97 | 95,경기도,과천시,40789.0,16528.0,9055.0,8736.0 98 | 96,경기도,의왕시,103913.0,43869.0,21218.0,23602.0 99 | 97,경기도,구리시,123469.0,51181.0,26113.0,28698.0 100 | 98,경기도,남양주시,397972.0,165079.0,86026.0,92048.0 101 | 99,경기도,오산시,118683.0,52358.0,21829.0,27201.0 102 | 100,경기도,화성시,386002.0,176940.0,69014.0,84967.0 103 | 101,경기도,시흥시,239227.0,103732.0,43248.0,58119.0 104 | 102,경기도,군포시,186084.0,82551.0,34784.0,41883.0 105 | 103,경기도,하남시,138937.0,57298.0,31793.0,30999.0 106 | 104,경기도,파주시,256847.0,107148.0,55347.0,54921.0 107 | 105,경기도,여주시,65695.0,20474.0,21581.0,14545.0 108 | 106,경기도,이천시,121841.0,44109.0,33301.0,26695.0 109 | 107,경기도,용인시처인구,134872.0,50423.0,33153.0,32027.0 110 | 108,경기도,용인시수지구,225513.0,95325.0,50229.0,47125.0 111 | 109,경기도,용인시기흥구,261414.0,116017.0,53405.0,55393.0 112 | 110,경기도,안성시,106490.0,39380.0,26693.0,25193.0 113 | 111,경기도,김포시,225075.0,93697.0,48490.0,51081.0 114 | 112,경기도,광주시,199221.0,80175.0,45030.0,46829.0 115 | 113,경기도,포천시,90620.0,27632.0,28030.0,22505.0 116 | 114,경기도,연천군,28675.0,8384.0,9557.0,6805.0 117 | 115,경기도,양평군,71056.0,21329.0,24800.0,15653.0 118 | 116,경기도,가평군,38897.0,10873.0,13865.0,9089.0 119 | 117,강원도,춘천시,175879.0,66874.0,43494.0,38684.0 120 | 118,강원도,원주시,204233.0,77495.0,50750.0,45776.0 121 | 119,강원도,강릉시,132395.0,41565.0,44421.0,26895.0 122 | 120,강원도,동해시,55542.0,17184.0,19009.0,11345.0 123 | 121,강원도,삼척시,44097.0,13496.0,15971.0,8185.0 124 | 122,강원도,태백시,28101.0,9557.0,10046.0,4971.0 125 | 123,강원도,정선군,23859.0,8270.0,8323.0,4489.0 126 | 124,강원도,속초시,46985.0,15045.0,13883.0,11031.0 127 | 125,강원도,고성군,18692.0,5664.0,6511.0,3964.0 128 | 126,강원도,양양군,17853.0,5017.0,6687.0,3868.0 129 | 127,강원도,인제군,20751.0,6574.0,6009.0,4759.0 130 | 128,강원도,홍천군,43648.0,13851.0,13549.0,10023.0 131 | 129,강원도,횡성군,29447.0,8833.0,10423.0,6479.0 132 | 130,강원도,영월군,25925.0,8067.0,8779.0,5753.0 133 | 131,강원도,평창군,27444.0,8591.0,9348.0,5998.0 134 | 132,강원도,화천군,17083.0,5161.0,5019.0,4000.0 135 | 133,강원도,양구군,14848.0,4526.0,4250.0,3519.0 136 | 134,강원도,철원군,29103.0,8998.0,8437.0,7101.0 137 | 135,충청북도,청주시상당구,106316.0,42308.0,27108.0,21983.0 138 | 136,충청북도,청주시서원구,134980.0,56521.0,30471.0,28912.0 139 | 137,충청북도,청주시흥덕구,153064.0,66281.0,31023.0,32756.0 140 | 138,충청북도,청주시청원구,115327.0,50487.0,24026.0,24203.0 141 | 139,충청북도,충주시,127426.0,43551.0,38532.0,28588.0 142 | 140,충청북도,제천시,84700.0,28517.0,26977.0,17768.0 143 | 141,충청북도,단양군,19905.0,5708.0,7901.0,4026.0 144 | 142,충청북도,영동군,32554.0,10432.0,10958.0,7017.0 145 | 143,충청북도,보은군,22341.0,7268.0,7587.0,4910.0 146 | 144,충청북도,옥천군,33175.0,11181.0,10431.0,7465.0 147 | 145,충청북도,음성군,56788.0,20723.0,15180.0,13381.0 148 | 146,충청북도,진천군,41255.0,15844.0,10265.0,9489.0 149 | 147,충청북도,괴산군,25824.0,7876.0,9435.0,5830.0 150 | 148,충청북도,증평군,21786.0,8109.0,5608.0,5126.0 151 | 149,충청남도,천안시서북구,212329.0,94202.0,37293.0,47891.0 152 | 150,충청남도,천안시동남구,151132.0,59695.0,34869.0,34933.0 153 | 151,충청남도,공주시,67018.0,25036.0,18449.0,15814.0 154 | 152,충청남도,보령시,62825.0,20674.0,19453.0,15428.0 155 | 153,충청남도,아산시,173795.0,73461.0,36741.0,38368.0 156 | 154,충청남도,서산시,98859.0,37376.0,24572.0,23237.0 157 | 155,충청남도,태안군,38740.0,12881.0,12666.0,8940.0 158 | 156,충청남도,금산군,32968.0,11182.0,9416.0,8787.0 159 | 157,충청남도,논산시,72434.0,28265.0,16948.0,18844.0 160 | 158,충청남도,계룡시,26530.0,9566.0,6261.0,6722.0 161 | 159,충청남도,당진시,95417.0,37191.0,23597.0,20852.0 162 | 160,충청남도,부여군,43288.0,13492.0,13761.0,11022.0 163 | 161,충청남도,서천군,34889.0,12554.0,9891.0,8744.0 164 | 162,충청남도,홍성군,59645.0,21021.0,16682.0,14251.0 165 | 163,충청남도,청양군,20667.0,6185.0,7104.0,5140.0 166 | 164,충청남도,예산군,49668.0,13880.0,18911.0,11243.0 167 | 165,전라북도,전주시완산구,236383.0,157637.0,7003.0,50506.0 168 | 166,전라북도,전주시덕진구,187921.0,125375.0,5183.0,40188.0 169 | 167,전라북도,군산시,172330.0,109379.0,6360.0,42387.0 170 | 168,전라북도,익산시,192208.0,123422.0,6470.0,45737.0 171 | 169,전라북도,정읍시,73678.0,45894.0,2175.0,20111.0 172 | 170,전라북도,남원시,55371.0,35539.0,1939.0,13854.0 173 | 171,전라북도,김제시,57886.0,35870.0,2052.0,15880.0 174 | 172,전라북도,완주군,62470.0,41057.0,2107.0,13897.0 175 | 173,전라북도,진안군,18107.0,11918.0,819.0,3904.0 176 | 174,전라북도,무주군,17019.0,10381.0,1225.0,3998.0 177 | 175,전라북도,장수군,16079.0,10714.0,717.0,3353.0 178 | 176,전라북도,임실군,20381.0,12893.0,771.0,5009.0 179 | 177,전라북도,순창군,20126.0,12309.0,688.0,5624.0 180 | 178,전라북도,고창군,39188.0,23877.0,1215.0,11182.0 181 | 179,전라북도,부안군,36647.0,22482.0,1507.0,9837.0 182 | 180,전라남도,목포시,145476.0,77896.0,2584.0,53303.0 183 | 181,전라남도,여수시,185487.0,117586.0,4281.0,50228.0 184 | 182,전라남도,순천시,181451.0,122595.0,4525.0,40429.0 185 | 183,전라남도,나주시,71599.0,43967.0,1448.0,21011.0 186 | 184,전라남도,광양시,96384.0,63544.0,4100.0,20080.0 187 | 185,전라남도,담양군,33020.0,19961.0,698.0,10017.0 188 | 186,전라남도,장성군,30670.0,17378.0,851.0,10167.0 189 | 187,전라남도,곡성군,21247.0,12152.0,624.0,6850.0 190 | 188,전라남도,구례군,18924.0,11873.0,628.0,5188.0 191 | 189,전라남도,고흥군,47036.0,26882.0,1349.0,15614.0 192 | 190,전라남도,보성군,29967.0,16666.0,732.0,10514.0 193 | 191,전라남도,화순군,43572.0,25867.0,770.0,13832.0 194 | 192,전라남도,장흥군,27149.0,14821.0,636.0,9593.0 195 | 193,전라남도,강진군,25175.0,12476.0,753.0,10152.0 196 | 194,전라남도,완도군,34886.0,20945.0,762.0,11021.0 197 | 195,전라남도,해남군,48351.0,25901.0,1158.0,18157.0 198 | 196,전라남도,진도군,21189.0,10392.0,511.0,8855.0 199 | 197,전라남도,영암군,36402.0,18999.0,825.0,13610.0 200 | 198,전라남도,무안군,52516.0,29516.0,983.0,18052.0 201 | 199,전라남도,영광군,35919.0,20595.0,819.0,11675.0 202 | 200,전라남도,함평군,23368.0,13539.0,471.0,7831.0 203 | 201,전라남도,신안군,28950.0,14370.0,713.0,12000.0 204 | 202,경상북도,포항시북구,171444.0,38629.0,77138.0,26901.0 205 | 203,경상북도,포항시남구,150740.0,34808.0,66319.0,24728.0 206 | 204,경상북도,울릉군,6810.0,1443.0,3520.0,973.0 207 | 205,경상북도,경주시,167296.0,38092.0,80090.0,23898.0 208 | 206,경상북도,김천시,92184.0,22255.0,43998.0,12803.0 209 | 207,경상북도,안동시,107357.0,23121.0,52978.0,15461.0 210 | 208,경상북도,구미시,246638.0,62573.0,98732.0,41141.0 211 | 209,경상북도,영주시,70861.0,15280.0,34504.0,10444.0 212 | 210,경상북도,영천시,66091.0,12250.0,35328.0,9175.0 213 | 211,경상북도,상주시,67717.0,12356.0,38171.0,9392.0 214 | 212,경상북도,문경시,49113.0,8616.0,27832.0,6905.0 215 | 213,경상북도,예천군,32124.0,5261.0,18863.0,4427.0 216 | 214,경상북도,경산시,160794.0,35602.0,72129.0,24606.0 217 | 215,경상북도,청도군,30398.0,5323.0,17678.0,3654.0 218 | 216,경상북도,고령군,22396.0,3754.0,13248.0,2600.0 219 | 217,경상북도,성주군,30070.0,5409.0,16788.0,3586.0 220 | 218,경상북도,칠곡군,72006.0,16872.0,31540.0,11340.0 221 | 219,경상북도,군위군,17627.0,2251.0,11651.0,1939.0 222 | 220,경상북도,의성군,37855.0,5365.0,23790.0,4767.0 223 | 221,경상북도,청송군,18418.0,3218.0,10669.0,2387.0 224 | 222,경상북도,영양군,12048.0,2281.0,6554.0,1701.0 225 | 223,경상북도,영덕군,26125.0,3786.0,16314.0,3231.0 226 | 224,경상북도,봉화군,22947.0,4209.0,12536.0,3370.0 227 | 225,경상북도,울진군,32568.0,6972.0,16867.0,4476.0 228 | 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2009-04-01,443 445 | 2009-04-07,684 446 | 2009-04-06,635 447 | 2009-04-05,408 448 | 2009-04-04,448 449 | 2009-04-21,637 450 | 2009-04-20,677 451 | 2009-04-09,715 452 | 2009-04-22,686 453 | 2009-04-25,523 454 | 2009-04-24,635 455 | 2009-04-27,583 456 | 2009-04-26,481 457 | 2009-04-29,677 458 | 2009-04-28,692 459 | 2009-05-08,679 460 | 2009-05-09,431 461 | 2009-05-01,599 462 | 2009-05-02,405 463 | 2009-05-03,414 464 | 2009-05-04,629 465 | 2009-05-05,680 466 | 2009-05-06,698 467 | 2009-05-07,666 468 | 2009-05-26,845 469 | 2009-05-27,774 470 | 2009-05-24,407 471 | 2009-05-25,544 472 | 2009-05-22,650 473 | 2009-05-23,436 474 | 2009-05-20,729 475 | 2009-05-21,717 476 | 2009-05-28,798 477 | 2009-05-29,650 478 | 2009-05-19,771 479 | 2009-05-18,716 480 | 2009-05-17,502 481 | 2009-05-16,468 482 | 2009-05-15,707 483 | 2009-05-14,749 484 | 2009-05-13,761 485 | 2009-05-12,806 486 | 2009-05-11,714 487 | 2009-05-10,406 488 | 2009-05-31,480 489 | 2009-05-30,460 490 | 2009-06-29,641 491 | 2009-06-28,406 492 | 2009-06-30,676 493 | 2009-06-18,633 494 | 2009-06-19,556 495 | 2009-06-16,686 496 | 2009-06-17,675 497 | 2009-06-14,421 498 | 2009-06-15,680 499 | 2009-06-12,624 500 | 2009-06-13,426 501 | 2009-06-10,709 502 | 2009-06-11,708 503 | 2009-06-23,637 504 | 2009-06-22,569 505 | 2009-06-27,395 506 | 2009-06-26,582 507 | 2009-06-25,648 508 | 2009-06-24,741 509 | 2009-06-09,757 510 | 2009-06-08,639 511 | 2009-06-21,396 512 | 2009-06-20,361 513 | 2009-06-05,658 514 | 2009-06-04,813 515 | 2009-06-07,396 516 | 2009-06-06,428 517 | 2009-06-01,690 518 | 2009-06-03,757 519 | 2009-06-02,775 520 | 2009-07-02,589 521 | 2009-07-03,505 522 | 2009-07-24,744 523 | 2009-07-01,673 524 | 2009-07-06,671 525 | 2009-07-07,727 526 | 2009-07-04,376 527 | 2009-07-05,341 528 | 2009-07-08,704 529 | 2009-07-09,650 530 | 2009-07-28,868 531 | 2009-07-26,451 532 | 2009-07-27,748 533 | 2009-07-20,736 534 | 2009-07-21,758 535 | 2009-07-25,412 536 | 2009-07-22,1356 537 | 2009-07-23,1038 538 | 2009-07-31,658 539 | 2009-07-30,838 540 | 2009-07-11,387 541 | 2009-07-10,656 542 | 2009-07-13,636 543 | 2009-07-12,369 544 | 2009-07-15,719 545 | 2009-07-14,647 546 | 2009-07-17,670 547 | 2009-07-16,689 548 | 2009-07-19,421 549 | 2009-07-18,444 550 | 2009-07-29,835 551 | 2009-08-07,674 552 | 2009-08-06,774 553 | 2009-08-05,752 554 | 2009-08-04,781 555 | 2009-08-03,724 556 | 2009-08-02,479 557 | 2009-08-01,464 558 | 2009-08-25,827 559 | 2009-08-24,732 560 | 2009-08-27,814 561 | 2009-08-26,797 562 | 2009-08-21,701 563 | 2009-08-20,730 564 | 2009-08-09,561 565 | 2009-08-08,524 566 | 2009-08-29,560 567 | 2009-08-28,770 568 | 2009-08-10,770 569 | 2009-08-11,782 570 | 2009-08-12,739 571 | 2009-08-13,713 572 | 2009-08-14,663 573 | 2009-08-15,427 574 | 2009-08-16,468 575 | 2009-08-17,769 576 | 2009-08-18,838 577 | 2009-08-19,767 578 | 2009-08-30,525 579 | 2009-08-31,800 580 | 2009-08-23,443 581 | 2009-08-22,501 582 | 2009-09-04,773 583 | 2009-09-28,669 584 | 2009-09-29,822 585 | 2009-09-08,858 586 | 2009-09-09,898 587 | 2009-09-22,829 588 | 2009-09-05,510 589 | 2009-09-20,525 590 | 2009-09-21,687 591 | 2009-09-06,501 592 | 2009-09-02,1055 593 | 2009-09-03,935 594 | 2009-09-07,711 595 | 2009-09-01,805 596 | 2009-09-24,854 597 | 2009-09-13,548 598 | 2009-09-12,525 599 | 2009-09-11,828 600 | 2009-09-10,903 601 | 2009-09-17,822 602 | 2009-09-16,831 603 | 2009-09-15,813 604 | 2009-09-14,853 605 | 2009-09-30,814 606 | 2009-09-19,579 607 | 2009-09-18,866 608 | 2009-10-20,822 609 | 2009-10-21,885 610 | 2009-10-22,845 611 | 2009-10-23,791 612 | 2009-10-24,497 613 | 2009-10-25,524 614 | 2009-10-08,870 615 | 2009-10-09,769 616 | 2009-10-06,764 617 | 2009-10-07,808 618 | 2009-10-04,570 619 | 2009-10-05,735 620 | 2009-10-02,926 621 | 2009-10-03,518 622 | 2009-10-01,808 623 | 2009-10-26,761 624 | 2009-10-27,817 625 | 2009-10-28,886 626 | 2009-10-29,842 627 | 2009-10-19,747 628 | 2009-10-18,493 629 | 2009-10-31,483 630 | 2009-10-30,739 631 | 2009-10-17,501 632 | 2009-10-11,589 633 | 2009-10-10,576 634 | 2009-10-13,792 635 | 2009-10-12,788 636 | 2009-11-23,828 637 | 2009-11-08,631 638 | 2009-11-18,717 639 | 2009-11-19,768 640 | 2009-11-12,847 641 | 2009-11-13,790 642 | 2009-11-10,811 643 | 2009-11-11,854 644 | 2009-11-16,845 645 | 2009-11-17,659 646 | 2009-11-14,548 647 | 2009-11-29,521 648 | 2009-11-28,507 649 | 2009-11-30,729 650 | 2009-11-09,784 651 | 2009-11-21,508 652 | 2009-11-20,764 653 | 2009-11-27,601 654 | 2009-11-26,590 655 | 2009-11-25,645 656 | 2009-11-24,732 657 | 2009-11-01,528 658 | 2009-11-03,887 659 | 2009-11-02,669 660 | 2009-11-05,960 661 | 2009-11-04,943 662 | 2009-11-07,532 663 | 2009-11-06,770 664 | 2009-12-04,747 665 | 2009-12-05,458 666 | 2009-12-06,507 667 | 2009-12-07,688 668 | 2009-12-26,343 669 | 2009-12-01,734 670 | 2009-12-02,755 671 | 2009-12-03,755 672 | 2009-12-28,505 673 | 2009-12-29,526 674 | 2009-12-08,648 675 | 2009-12-09,705 676 | 2009-12-22,703 677 | 2009-12-23,663 678 | 2009-12-20,425 679 | 2009-12-19,424 680 | 2009-12-21,659 681 | 2009-12-13,501 682 | 2009-12-12,518 683 | 2009-12-11,674 684 | 2009-12-10,677 685 | 2009-12-17,730 686 | 2009-12-16,665 687 | 2009-12-15,588 688 | 2009-12-14,618 689 | 2009-12-31,493 690 | 2009-12-30,487 691 | 2009-12-24,414 692 | 2009-12-25,327 693 | 2009-12-18,667 694 | 2009-12-27,373 695 | 2010-01-31,657 696 | 2010-01-30,631 697 | 2010-01-11,806 698 | 2010-01-10,651 699 | 2010-01-13,810 700 | 2010-01-12,887 701 | 2010-01-15,913 702 | 2010-01-14,770 703 | 2010-01-17,594 704 | 2010-01-16,547 705 | 2010-01-19,983 706 | 2010-01-18,792 707 | 2010-01-22,951 708 | 2010-01-25,1047 709 | 2010-01-20,953 710 | 2010-01-27,979 711 | 2010-01-21,1018 712 | 2010-01-02,385 713 | 2010-01-03,391 714 | 2010-01-26,959 715 | 2010-01-01,360 716 | 2010-01-06,692 717 | 2010-01-07,857 718 | 2010-01-04,484 719 | 2010-01-05,610 720 | 2010-01-08,720 721 | 2010-01-09,563 722 | 2010-01-28,919 723 | 2010-01-29,869 724 | 2010-02-28,664 725 | 2010-02-03,1016 726 | 2010-02-02,945 727 | 2010-02-01,993 728 | 2010-02-07,668 729 | 2010-02-06,667 730 | 2010-02-05,981 731 | 2010-02-04,1084 732 | 2010-02-21,622 733 | 2010-02-20,707 734 | 2010-02-09,902 735 | 2010-02-22,886 736 | 2010-02-25,888 737 | 2010-02-24,915 738 | 2010-02-27,727 739 | 2010-02-26,849 740 | 2010-02-18,941 741 | 2010-02-19,805 742 | 2010-02-14,568 743 | 2010-02-15,785 744 | 2010-02-16,948 745 | 2010-02-17,890 746 | 2010-02-10,996 747 | 2010-02-11,1052 748 | 2010-02-12,971 749 | 2010-02-13,642 750 | 2010-03-19,877 751 | 2010-03-18,985 752 | 2010-03-17,1016 753 | 2010-03-16,884 754 | 2010-03-15,857 755 | 2010-03-14,648 756 | 2010-03-13,751 757 | 2010-03-12,962 758 | 2010-03-11,992 759 | 2010-03-10,971 760 | 2010-03-31,916 761 | 2010-03-30,948 762 | 2010-03-08,936 763 | 2010-03-09,971 764 | 2010-03-01,835 765 | 2010-03-02,1059 766 | 2010-03-03,916 767 | 2010-03-04,995 768 | 2010-03-05,1134 769 | 2010-03-06,684 770 | 2010-03-07,660 771 | 2010-03-26,927 772 | 2010-03-27,708 773 | 2010-03-24,866 774 | 2010-03-25,928 775 | 2010-03-22,851 776 | 2010-03-23,808 777 | 2010-03-20,664 778 | 2010-03-21,656 779 | 2010-03-28,592 780 | 2010-03-29,858 781 | 2010-04-09,875 782 | 2010-04-22,946 783 | 2010-04-21,896 784 | 2010-04-20,945 785 | 2010-04-27,1608 786 | 2010-04-26,1461 787 | 2010-04-25,717 788 | 2010-04-24,665 789 | 2010-04-01,876 790 | 2010-04-03,591 791 | 2010-04-02,773 792 | 2010-04-05,718 793 | 2010-04-04,572 794 | 2010-04-07,940 795 | 2010-04-06,839 796 | 2010-04-28,975 797 | 2010-04-30,1036 798 | 2010-04-18,708 799 | 2010-04-19,957 800 | 2010-04-12,986 801 | 2010-04-13,972 802 | 2010-04-10,589 803 | 2010-04-11,652 804 | 2010-04-16,917 805 | 2010-04-17,724 806 | 2010-04-14,892 807 | 2010-04-15,897 808 | 2010-04-23,984 809 | 2010-04-29,1051 810 | 2010-04-08,881 811 | 2010-05-26,989 812 | 2010-05-27,858 813 | 2010-05-28,680 814 | 2010-05-19,735 815 | 2010-05-18,692 816 | 2010-05-31,682 817 | 2010-05-29,574 818 | 2010-05-15,701 819 | 2010-05-14,820 820 | 2010-05-17,871 821 | 2010-05-16,590 822 | 2010-05-11,1021 823 | 2010-05-10,971 824 | 2010-05-13,726 825 | 2010-05-12,978 826 | 2010-05-20,842 827 | 2010-05-21,833 828 | 2010-05-22,678 829 | 2010-05-23,659 830 | 2010-05-24,780 831 | 2010-05-25,865 832 | 2010-05-08,734 833 | 2010-05-09,633 834 | 2010-05-06,1165 835 | 2010-05-07,1143 836 | 2010-05-04,1014 837 | 2010-05-05,1030 838 | 2010-05-02,675 839 | 2010-05-03,999 840 | 2010-05-01,725 841 | 2010-05-30,559 842 | 2010-06-09,858 843 | 2010-06-08,911 844 | 2010-06-07,882 845 | 2010-06-06,580 846 | 2010-06-05,698 847 | 2010-06-04,854 848 | 2010-06-03,943 849 | 2010-06-02,941 850 | 2010-06-01,865 851 | 2010-06-25,630 852 | 2010-06-24,696 853 | 2010-06-27,166 854 | 2010-06-21,807 855 | 2010-06-20,563 856 | 2010-06-23,736 857 | 2010-06-22,758 858 | 2010-06-29,782 859 | 2010-06-18,758 860 | 2010-06-19,584 861 | 2010-06-10,817 862 | 2010-06-11,524 863 | 2010-06-12,139 864 | 2010-06-13,91 865 | 2010-06-14,150 866 | 2010-06-15,431 867 | 2010-06-16,541 868 | 2010-06-17,773 869 | 2010-06-30,768 870 | 2010-07-31,748 871 | 2010-07-22,1044 872 | 2010-07-23,1111 873 | 2010-07-20,1052 874 | 2010-07-21,833 875 | 2010-07-30,1041 876 | 2010-07-27,1183 877 | 2010-07-24,688 878 | 2010-07-25,694 879 | 2010-07-04,443 880 | 2010-07-06,743 881 | 2010-07-26,1151 882 | 2010-07-01,750 883 | 2010-07-02,843 884 | 2010-07-03,479 885 | 2010-07-28,1141 886 | 2010-07-29,1169 887 | 2010-07-19,1232 888 | 2010-07-18,430 889 | 2010-07-13,811 890 | 2010-07-12,700 891 | 2010-07-11,493 892 | 2010-07-17,495 893 | 2010-07-16,731 894 | 2010-07-15,821 895 | 2010-07-14,763 896 | 2010-08-16,1225 897 | 2010-08-17,1230 898 | 2010-08-14,669 899 | 2010-08-15,729 900 | 2010-08-12,1152 901 | 2010-08-13,1081 902 | 2010-08-10,1264 903 | 2010-08-11,1311 904 | 2010-08-18,1185 905 | 2010-08-19,1214 906 | 2010-08-29,788 907 | 2010-08-28,750 908 | 2010-08-27,1122 909 | 2010-08-26,1274 910 | 2010-08-25,1204 911 | 2010-08-24,1280 912 | 2010-08-23,1163 913 | 2010-08-22,810 914 | 2010-08-21,752 915 | 2010-08-20,1027 916 | 2010-08-05,1213 917 | 2010-08-04,1425 918 | 2010-08-07,855 919 | 2010-08-06,1143 920 | 2010-08-01,666 921 | 2010-08-03,1773 922 | 2010-08-02,1138 923 | 2010-08-09,1249 924 | 2010-08-08,728 925 | 2010-08-30,1231 926 | 2010-08-31,1408 927 | 2010-09-24,1294 928 | 2010-09-19,928 929 | 2010-09-18,811 930 | 2010-09-30,1342 931 | 2010-09-25,869 932 | 2010-09-11,795 933 | 2010-09-10,1132 934 | 2010-09-13,1326 935 | 2010-09-12,853 936 | 2010-09-15,1493 937 | 2010-09-14,1431 938 | 2010-09-17,1320 939 | 2010-09-16,1470 940 | 2010-09-27,1328 941 | 2010-09-06,1128 942 | 2010-09-07,1255 943 | 2010-09-04,868 944 | 2010-09-23,1277 945 | 2010-09-08,1499 946 | 2010-09-09,1393 947 | 2010-09-28,1517 948 | 2010-09-29,1426 949 | 2010-09-02,1390 950 | 2010-09-03,1205 951 | 2010-09-26,913 952 | 2010-09-01,1402 953 | 2010-09-20,1369 954 | 2010-09-21,1401 955 | 2010-09-22,1313 956 | 2010-09-05,765 957 | 2010-10-24,885 958 | 2010-10-25,1339 959 | 2010-10-28,1648 960 | 2010-10-29,1391 961 | 2010-10-08,1203 962 | 2010-10-09,764 963 | 2010-10-22,1284 964 | 2010-10-05,1380 965 | 2010-10-20,1379 966 | 2010-10-21,1357 967 | 2010-10-26,1596 968 | 2010-10-01,1288 969 | 2010-10-02,972 970 | 2010-10-03,889 971 | 2010-10-04,1427 972 | 2010-10-23,931 973 | 2010-10-06,1454 974 | 2010-10-07,1344 975 | 2010-10-27,1589 976 | 2010-10-13,1348 977 | 2010-10-12,1367 978 | 2010-10-11,1370 979 | 2010-10-10,797 980 | 2010-10-17,989 981 | 2010-10-16,993 982 | 2010-10-15,1202 983 | 2010-10-14,1392 984 | 2010-10-31,977 985 | 2010-10-30,848 986 | 2010-10-19,1393 987 | 2010-10-18,1222 988 | 2010-11-23,1281 989 | 2010-11-22,1266 990 | 2010-11-07,1014 991 | 2010-11-06,878 992 | 2010-11-05,1323 993 | 2010-11-04,1501 994 | 2010-11-03,1269 995 | 2010-11-02,1334 996 | 2010-11-01,1388 997 | 2010-11-25,1008 998 | 2010-11-24,1245 999 | 2010-11-27,780 1000 | 2010-11-26,1094 1001 | 2010-11-21,880 1002 | 2010-11-20,907 1003 | 2010-11-09,1364 1004 | 2010-11-08,1295 1005 | 2010-11-29,1160 1006 | 2010-11-28,827 1007 | 2010-11-10,1459 1008 | 2010-11-11,1368 1009 | 2010-11-12,1325 1010 | 2010-11-13,858 1011 | 2010-11-14,835 1012 | 2010-11-15,1151 1013 | 2010-11-16,1351 1014 | 2010-11-17,1369 1015 | 2010-11-18,1396 1016 | 2010-11-19,1209 1017 | 2010-11-30,1345 1018 | 2010-12-31,660 1019 | 2010-12-30,918 1020 | 2010-12-15,1416 1021 | 2010-12-14,1560 1022 | 2010-12-17,1012 1023 | 2010-12-16,1336 1024 | 2010-12-11,819 1025 | 2010-12-10,1220 1026 | 2010-12-13,1260 1027 | 2010-12-12,848 1028 | 2010-12-19,896 1029 | 2010-12-18,891 1030 | 2010-12-28,1001 1031 | 2010-12-29,1035 1032 | 2010-12-20,1084 1033 | 2010-12-21,1066 1034 | 2010-12-22,1346 1035 | 2010-12-23,956 1036 | 2010-12-24,626 1037 | 2010-12-25,554 1038 | 2010-12-26,601 1039 | 2010-12-27,791 1040 | 2010-12-06,1258 1041 | 2010-12-07,1284 1042 | 2010-12-04,883 1043 | 2010-12-05,917 1044 | 2010-12-02,1267 1045 | 2010-12-03,1158 1046 | 2010-12-01,1417 1047 | 2010-12-08,1203 1048 | 2010-12-09,1293 1049 | 2011-01-14,1325 1050 | 2011-01-15,869 1051 | 2011-01-16,871 1052 | 2011-01-17,1262 1053 | 2011-01-10,1264 1054 | 2011-01-11,1356 1055 | 2011-01-12,1389 1056 | 2011-01-13,1314 1057 | 2011-01-18,1547 1058 | 2011-01-19,1520 1059 | 2011-01-31,1535 1060 | 2011-01-09,842 1061 | 2011-01-08,845 1062 | 2011-01-03,1070 1063 | 2011-01-02,750 1064 | 2011-01-01,643 1065 | 2011-01-07,1182 1066 | 2011-01-06,1136 1067 | 2011-01-05,1178 1068 | 2011-01-04,1142 1069 | 2011-01-21,1298 1070 | 2011-01-20,1501 1071 | 2011-01-23,981 1072 | 2011-01-22,1028 1073 | 2011-01-25,1426 1074 | 2011-01-24,1378 1075 | 2011-01-27,1374 1076 | 2011-01-26,1478 1077 | 2011-01-29,957 1078 | 2011-01-28,1423 1079 | 2011-01-30,1081 1080 | 2011-02-27,999 1081 | 2011-02-20,1009 1082 | 2011-02-21,1445 1083 | 2011-02-22,1427 1084 | 2011-02-23,1298 1085 | 2011-02-19,913 1086 | 2011-02-18,1323 1087 | 2011-02-11,1339 1088 | 2011-02-10,1352 1089 | 2011-02-13,893 1090 | 2011-02-12,977 1091 | 2011-02-15,1376 1092 | 2011-02-14,1321 1093 | 2011-02-17,1440 1094 | 2011-02-16,1474 1095 | 2011-02-08,1340 1096 | 2011-02-09,1437 1097 | 2011-02-28,1639 1098 | 2011-02-02,1441 1099 | 2011-02-03,1612 1100 | 2011-02-26,877 1101 | 2011-02-01,1439 1102 | 2011-02-06,986 1103 | 2011-02-07,1418 1104 | 2011-02-04,1470 1105 | 2011-02-05,896 1106 | 2011-02-24,1522 1107 | 2011-02-25,1269 1108 | 2011-03-30,1454 1109 | 2011-03-31,1571 1110 | 2011-03-16,1403 1111 | 2011-03-17,1307 1112 | 2011-03-14,1351 1113 | 2011-03-15,1387 1114 | 2011-03-12,936 1115 | 2011-03-13,1005 1116 | 2011-03-10,1520 1117 | 2011-03-11,1329 1118 | 2011-03-18,1213 1119 | 2011-03-19,915 1120 | 2011-03-29,1383 1121 | 2011-03-28,1394 1122 | 2011-03-27,840 1123 | 2011-03-26,850 1124 | 2011-03-25,1226 1125 | 2011-03-24,1467 1126 | 2011-03-23,1540 1127 | 2011-03-22,1465 1128 | 2011-03-21,1357 1129 | 2011-03-20,873 1130 | 2011-03-05,962 1131 | 2011-03-04,1377 1132 | 2011-03-07,1440 1133 | 2011-03-06,1060 1134 | 2011-03-01,1628 1135 | 2011-03-03,1430 1136 | 2011-03-02,1556 1137 | 2011-03-09,1639 1138 | 2011-03-08,1321 1139 | 2011-04-13,1401 1140 | 2011-04-12,1518 1141 | 2011-04-11,1518 1142 | 2011-04-10,978 1143 | 2011-04-17,2419 1144 | 2011-04-16,933 1145 | 2011-04-15,1281 1146 | 2011-04-14,1537 1147 | 2011-04-30,881 1148 | 2011-04-19,1616 1149 | 2011-04-18,1711 1150 | 2011-04-29,1174 1151 | 2011-04-22,1117 1152 | 2011-04-23,915 1153 | 2011-04-27,1452 1154 | 2011-04-20,1571 1155 | 2011-04-28,1409 1156 | 2011-04-21,1377 1157 | 2011-04-08,1374 1158 | 2011-04-09,836 1159 | 2011-04-04,1351 1160 | 2011-04-05,1396 1161 | 2011-04-06,1551 1162 | 2011-04-07,1498 1163 | 2011-04-26,1371 1164 | 2011-04-01,1260 1165 | 2011-04-02,823 1166 | 2011-04-03,905 1167 | 2011-04-24,880 1168 | 2011-04-25,1188 1169 | 2011-05-29,774 1170 | 2011-05-28,786 1171 | 2011-05-23,1287 1172 | 2011-05-07,950 1173 | 2011-05-06,1217 1174 | 2011-05-05,1329 1175 | 2011-05-04,1322 1176 | 2011-05-03,1347 1177 | 2011-05-02,1283 1178 | 2011-05-01,876 1179 | 2011-05-25,1327 1180 | 2011-05-24,1330 1181 | 2011-05-27,1176 1182 | 2011-05-26,1343 1183 | 2011-05-21,795 1184 | 2011-05-20,1291 1185 | 2011-05-09,1231 1186 | 2011-05-22,856 1187 | 2011-05-10,1376 1188 | 2011-05-11,1412 1189 | 2011-05-12,1368 1190 | 2011-05-13,1205 1191 | 2011-05-14,776 1192 | 2011-05-15,914 1193 | 2011-05-16,1303 1194 | 2011-05-17,1467 1195 | 2011-05-18,1472 1196 | 2011-05-19,1422 1197 | 2011-05-08,923 1198 | 2011-05-30,1036 1199 | 2011-05-31,1299 1200 | 2011-06-15,1475 1201 | 2011-06-14,1177 1202 | 2011-06-17,1300 1203 | 2011-06-16,1396 1204 | 2011-06-11,790 1205 | 2011-06-10,1201 1206 | 2011-06-13,1177 1207 | 2011-06-12,720 1208 | 2011-06-19,967 1209 | 2011-06-18,858 1210 | 2011-06-28,1460 1211 | 2011-06-29,1359 1212 | 2011-06-20,1369 1213 | 2011-06-21,1515 1214 | 2011-06-22,1391 1215 | 2011-06-23,1362 1216 | 2011-06-24,1248 1217 | 2011-06-25,877 1218 | 2011-06-26,811 1219 | 2011-06-27,1253 1220 | 2011-06-06,1274 1221 | 2011-06-07,1267 1222 | 2011-06-04,869 1223 | 2011-06-05,818 1224 | 2011-06-02,1180 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2009-12-30,6535 716 | 2009-12-31,4388 717 | 2010-01-01,4165 718 | 2010-01-02,5095 719 | 2010-01-03,6055 720 | 2010-01-04,6186 721 | 2010-01-05,4340 722 | 2010-01-06,4101 723 | 2010-01-07,4743 724 | 2010-01-08,5417 725 | 2010-01-09,7501 726 | 2010-01-10,13249 727 | 2010-01-11,9998 728 | 2010-01-12,5872 729 | 2010-01-13,5444 730 | 2010-01-14,5511 731 | 2010-01-15,5761 732 | 2010-01-16,6499 733 | 2010-01-17,60351 734 | 2010-01-18,17210 735 | 2010-01-19,10149 736 | 2010-01-20,8248 737 | 2010-01-21,7608 738 | 2010-01-22,8179 739 | 2010-01-25,97155 740 | 2010-01-26,28688 741 | 2010-01-27,16227 742 | 2010-01-28,12587 743 | 2010-01-29,11542 744 | 2010-01-30,10183 745 | 2010-01-31,10981 746 | 2010-02-01,28006 747 | 2010-02-02,20251 748 | 2010-02-03,24625 749 | 2010-02-04,19122 750 | 2010-02-05,24810 751 | 2010-02-06,22039 752 | 2010-02-07,72508 753 | 2010-02-09,35008 754 | 2010-02-10,15585 755 | 2010-02-11,9134 756 | 2010-02-12,6606 757 | 2010-02-13,4668 758 | 2010-02-14,3892 759 | 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895 | 2010-07-04,911 896 | 2010-07-06,1564 897 | 2010-07-11,1251 898 | 2010-07-12,1185 899 | 2010-07-13,1397 900 | 2010-07-14,1404 901 | 2010-07-15,2093 902 | 2010-07-16,1731 903 | 2010-07-17,1495 904 | 2010-07-18,1391 905 | 2010-07-19,1444 906 | 2010-07-20,1753 907 | 2010-07-21,1721 908 | 2010-07-22,3386 909 | 2010-07-23,2380 910 | 2010-07-24,1847 911 | 2010-07-25,1900 912 | 2010-07-26,2835 913 | 2010-07-27,2435 914 | 2010-07-28,2440 915 | 2010-07-29,2698 916 | 2010-07-30,2587 917 | 2010-07-31,2812 918 | 2010-08-01,2146 919 | 2010-08-02,3413 920 | 2010-08-03,5930 921 | 2010-08-04,4690 922 | 2010-08-05,3180 923 | 2010-08-06,3009 924 | 2010-08-07,2637 925 | 2010-08-08,2579 926 | 2010-08-09,3432 927 | 2010-08-10,2755 928 | 2010-08-11,2895 929 | 2010-08-12,2879 930 | 2010-08-13,3411 931 | 2010-08-14,2437 932 | 2010-08-15,4055 933 | 2010-08-16,3947 934 | 2010-08-17,6276 935 | 2010-08-18,5385 936 | 2010-08-19,4631 937 | 2010-08-20,4963 938 | 2010-08-21,4252 939 | 2010-08-22,3948 940 | 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2014-01-27,25315 2187 | 2014-01-28,22023 2188 | 2014-01-29,22759 2189 | 2014-01-30,32221 2190 | 2014-01-31,34650 2191 | 2014-02-01,28005 2192 | 2014-02-02,128094 2193 | 2014-02-03,379552 2194 | 2014-02-04,47424 2195 | 2014-02-05,18868 2196 | 2014-02-06,10833 2197 | 2014-02-07,8985 2198 | 2014-02-08,6606 2199 | 2014-02-09,5560 2200 | 2014-02-10,4529 2201 | 2014-02-11,4068 2202 | 2014-02-12,3775 2203 | 2014-02-13,3399 2204 | 2014-02-14,2773 2205 | 2014-02-15,2343 2206 | 2014-02-16,2268 2207 | 2014-02-17,2528 2208 | 2014-02-18,2655 2209 | 2014-02-19,2737 2210 | 2014-02-20,2767 2211 | 2014-02-21,2329 2212 | 2014-02-22,1824 2213 | 2014-02-23,1915 2214 | 2014-02-24,2447 2215 | 2014-02-25,2173 2216 | 2014-02-26,2935 2217 | 2014-02-27,2570 2218 | 2014-02-28,2175 2219 | 2014-03-01,1537 2220 | 2014-03-02,1642 2221 | 2014-03-03,2612 2222 | 2014-03-04,2693 2223 | 2014-03-05,1967 2224 | 2014-03-06,2240 2225 | 2014-03-07,2669 2226 | 2014-03-08,1519 2227 | 2014-03-09,1788 2228 | 2014-03-10,1908 2229 | 2014-03-11,2143 2230 | 2014-03-12,2946 2231 | 2014-03-13,2994 2232 | 2014-03-14,2103 2233 | 2014-03-15,1784 2234 | 2014-03-16,1719 2235 | 2014-03-17,1989 2236 | 2014-03-18,2018 2237 | 2014-03-19,1897 2238 | 2014-03-20,2034 2239 | 2014-03-21,1989 2240 | 2014-03-22,1551 2241 | 2014-03-23,1638 2242 | 2014-03-24,3272 2243 | 2014-03-25,2762 2244 | 2014-03-26,2188 2245 | 2014-03-27,4624 2246 | 2014-03-28,2398 2247 | 2014-03-29,1493 2248 | 2014-03-30,1425 2249 | 2014-03-31,1698 2250 | 2014-04-01,1882 2251 | 2014-04-02,1969 2252 | 2014-04-03,2016 2253 | 2014-04-04,1745 2254 | 2014-04-05,1283 2255 | 2014-04-06,1786 2256 | 2014-04-07,1718 2257 | 2014-04-08,1755 2258 | 2014-04-09,1696 2259 | 2014-04-10,1848 2260 | 2014-04-11,1653 2261 | 2014-04-12,1282 2262 | 2014-04-13,1259 2263 | 2014-04-14,1576 2264 | 2014-04-15,1839 2265 | 2014-04-16,2033 2266 | 2014-04-17,1800 2267 | 2014-04-18,1623 2268 | 2014-04-19,1306 2269 | 2014-04-20,3266 2270 | 2014-04-21,1836 2271 | 2014-04-22,2555 2272 | 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2015-11-09,9543 2835 | 2015-11-10,3599 2836 | 2015-11-11,2506 2837 | 2015-11-12,2866 2838 | 2015-11-13,2148 2839 | 2015-11-14,1291 2840 | 2015-11-15,2703 2841 | 2015-11-16,15280 2842 | 2015-11-17,6962 2843 | 2015-11-18,4373 2844 | 2015-11-19,3514 2845 | 2015-11-20,3143 2846 | 2015-11-21,1922 2847 | 2015-11-22,3852 2848 | 2015-11-23,5842 2849 | 2015-11-24,4050 2850 | 2015-11-25,3162 2851 | 2015-11-26,2624 2852 | 2015-11-27,3624 2853 | 2015-11-28,1981 2854 | 2015-11-29,3046 2855 | 2015-11-30,189032 2856 | 2015-12-01,101017 2857 | 2015-12-02,6074 2858 | 2015-12-03,3153 2859 | 2015-12-04,3234 2860 | 2015-12-05,1735 2861 | 2015-12-06,3023 2862 | 2015-12-07,4899 2863 | 2015-12-08,2925 2864 | 2015-12-09,2387 2865 | 2015-12-10,3867 2866 | 2015-12-11,2608 2867 | 2015-12-12,1496 2868 | 2015-12-13,2249 2869 | 2015-12-14,4103 2870 | 2015-12-15,3777 2871 | 2015-12-16,2459 2872 | 2015-12-17,1982 2873 | 2015-12-18,1861 2874 | 2015-12-19,1302 2875 | 2015-12-20,2674 2876 | 2015-12-21,4273 2877 | 2015-12-22,3329 2878 | 2015-12-23,2381 2879 | 2015-12-24,1552 2880 | 2015-12-25,1483 2881 | 2015-12-26,1237 2882 | 2015-12-27,7178 2883 | 2015-12-28,10411 2884 | 2015-12-29,10383 2885 | 2015-12-30,4409 2886 | 2015-12-31,2995 2887 | 2016-01-01,1977 2888 | 2016-01-02,2503 2889 | 2016-01-03,3825 2890 | 2016-01-04,10885 2891 | 2016-01-05,5262 2892 | 2016-01-06,4241 2893 | 2016-01-07,4007 2894 | 2016-01-08,3985 2895 | 2016-01-09,2406 2896 | 2016-01-10,3951 2897 | 2016-01-11,4773 2898 | 2016-01-12,3412 2899 | 2016-01-13,3188 2900 | 2016-01-14,3052 2901 | 2016-01-15,3047 2902 | 2016-01-16,2483 2903 | 2016-01-17,10656 2904 | 2016-01-18,30754 2905 | 2016-01-19,9190 2906 | 2016-01-20,7269 2907 | -------------------------------------------------------------------------------- /data/07. portland-oregon-average-monthly-.csv: -------------------------------------------------------------------------------- 1 | "Month","Portland Oregon average monthly bus ridership (/100) January 1973 through June 1982, n=114" 2 | "1960-01",648 3 | "1960-02",646 4 | "1960-03",639 5 | "1960-04",654 6 | "1960-05",630 7 | "1960-06",622 8 | "1960-07",617 9 | "1960-08",613 10 | "1960-09",661 11 | "1960-10",695 12 | "1960-11",690 13 | "1960-12",707 14 | "1961-01",817 15 | "1961-02",839 16 | "1961-03",810 17 | "1961-04",789 18 | "1961-05",760 19 | "1961-06",724 20 | "1961-07",704 21 | "1961-08",691 22 | "1961-09",745 23 | "1961-10",803 24 | "1961-11",780 25 | "1961-12",761 26 | "1962-01",857 27 | "1962-02",907 28 | "1962-03",873 29 | "1962-04",910 30 | "1962-05",900 31 | "1962-06",880 32 | "1962-07",867 33 | "1962-08",854 34 | "1962-09",928 35 | "1962-10",1064 36 | "1962-11",1103 37 | "1962-12",1026 38 | "1963-01",1102 39 | "1963-02",1080 40 | "1963-03",1034 41 | "1963-04",1083 42 | "1963-05",1078 43 | "1963-06",1020 44 | "1963-07",984 45 | "1963-08",952 46 | "1963-09",1033 47 | "1963-10",1114 48 | "1963-11",1160 49 | "1963-12",1058 50 | "1964-01",1209 51 | "1964-02",1200 52 | "1964-03",1130 53 | "1964-04",1182 54 | "1964-05",1152 55 | "1964-06",1116 56 | "1964-07",1098 57 | "1964-08",1044 58 | "1964-09",1142 59 | "1964-10",1222 60 | "1964-11",1234 61 | "1964-12",1155 62 | "1965-01",1286 63 | "1965-02",1281 64 | "1965-03",1224 65 | "1965-04",1280 66 | "1965-05",1228 67 | "1965-06",1181 68 | "1965-07",1156 69 | "1965-08",1124 70 | "1965-09",1152 71 | "1965-10",1205 72 | "1965-11",1260 73 | "1965-12",1188 74 | "1966-01",1212 75 | "1966-02",1269 76 | "1966-03",1246 77 | "1966-04",1299 78 | "1966-05",1284 79 | "1966-06",1345 80 | "1966-07",1341 81 | "1966-08",1308 82 | "1966-09",1448 83 | "1966-10",1454 84 | "1966-11",1467 85 | "1966-12",1431 86 | "1967-01",1510 87 | "1967-02",1558 88 | "1967-03",1536 89 | "1967-04",1523 90 | "1967-05",1492 91 | "1967-06",1437 92 | "1967-07",1365 93 | "1967-08",1310 94 | "1967-09",1441 95 | "1967-10",1450 96 | "1967-11",1424 97 | "1967-12",1360 98 | "1968-01",1429 99 | "1968-02",1440 100 | "1968-03",1414 101 | "1968-04",1424 102 | "1968-05",1408 103 | "1968-06",1337 104 | "1968-07",1258 105 | "1968-08",1214 106 | "1968-09",1326 107 | "1968-10",1417 108 | "1968-11",1417 109 | "1968-12",1329 110 | "1969-01",1461 111 | "1969-02",1425 112 | "1969-03",1419 113 | "1969-04",1432 114 | "1969-05",1394 115 | "1969-06",1327 -------------------------------------------------------------------------------- /data/07. stormtrooper_mask.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PinkWink/DataScience/b0a76c96ea266d5e69285fea35fc95accc4fd25d/data/07. stormtrooper_mask.png -------------------------------------------------------------------------------- /data/07. web_traffic.tsv: -------------------------------------------------------------------------------- 1 | 1 2272 2 | 2 nan 3 | 3 1386 4 | 4 1365 5 | 5 1488 6 | 6 1337 7 | 7 1883 8 | 8 2283 9 | 9 1335 10 | 10 1025 11 | 11 1139 12 | 12 1477 13 | 13 1203 14 | 14 1311 15 | 15 1299 16 | 16 1494 17 | 17 1159 18 | 18 1365 19 | 19 1272 20 | 20 1246 21 | 21 1071 22 | 22 1876 23 | 23 nan 24 | 24 1410 25 | 25 925 26 | 26 1533 27 | 27 2104 28 | 28 2113 29 | 29 1993 30 | 30 1045 31 | 31 2090 32 | 32 2227 33 | 33 1413 34 | 34 1718 35 | 35 1721 36 | 36 1291 37 | 37 1838 38 | 38 2540 39 | 39 1608 40 | 40 2455 41 | 41 1929 42 | 42 1767 43 | 43 1203 44 | 44 1761 45 | 45 1723 46 | 46 2160 47 | 47 808 48 | 48 nan 49 | 49 1324 50 | 50 1809 51 | 51 1933 52 | 52 1351 53 | 53 2013 54 | 54 1207 55 | 55 2170 56 | 56 1700 57 | 57 1899 58 | 58 1757 59 | 59 1475 60 | 60 1921 61 | 61 1971 62 | 62 1809 63 | 63 1365 64 | 64 1775 65 | 65 1687 66 | 66 1706 67 | 67 1353 68 | 68 1316 69 | 69 1512 70 | 70 2430 71 | 71 1788 72 | 72 1380 73 | 73 1357 74 | 74 990 75 | 75 1586 76 | 76 2057 77 | 77 1690 78 | 78 1458 79 | 79 1201 80 | 80 1949 81 | 81 1493 82 | 82 1653 83 | 83 1217 84 | 84 1457 85 | 85 1179 86 | 86 1484 87 | 87 2730 88 | 88 1414 89 | 89 1060 90 | 90 1573 91 | 91 1260 92 | 92 1216 93 | 93 981 94 | 94 1345 95 | 95 nan 96 | 96 1667 97 | 97 730 98 | 98 1034 99 | 99 1628 100 | 100 1155 101 | 101 1305 102 | 102 1444 103 | 103 2242 104 | 104 1842 105 | 105 1210 106 | 106 1384 107 | 107 1313 108 | 108 1508 109 | 109 1796 110 | 110 1265 111 | 111 1090 112 | 112 2159 113 | 113 1167 114 | 114 1391 115 | 115 1445 116 | 116 1196 117 | 117 1049 118 | 118 1999 119 | 119 472 120 | 120 1285 121 | 121 1737 122 | 122 1534 123 | 123 2636 124 | 124 1372 125 | 125 1325 126 | 126 833 127 | 127 1200 128 | 128 2431 129 | 129 1740 130 | 130 2121 131 | 131 1726 132 | 132 1344 133 | 133 1072 134 | 134 1386 135 | 135 1054 136 | 136 1051 137 | 137 1270 138 | 138 1857 139 | 139 1437 140 | 140 2016 141 | 141 1352 142 | 142 909 143 | 143 1761 144 | 144 1009 145 | 145 2035 146 | 146 1534 147 | 147 1708 148 | 148 733 149 | 149 1455 150 | 150 1332 151 | 151 1606 152 | 152 1065 153 | 153 1291 154 | 154 nan 155 | 155 1495 156 | 156 1928 157 | 157 2249 158 | 158 987 159 | 159 1023 160 | 160 875 161 | 161 1569 162 | 162 1032 163 | 163 1079 164 | 164 1087 165 | 165 1152 166 | 166 961 167 | 167 1232 168 | 168 2188 169 | 169 1179 170 | 170 1475 171 | 171 1612 172 | 172 921 173 | 173 2432 174 | 174 1650 175 | 175 1077 176 | 176 823 177 | 177 1578 178 | 178 1872 179 | 179 1669 180 | 180 nan 181 | 181 nan 182 | 182 1407 183 | 183 1619 184 | 184 894 185 | 185 1948 186 | 186 2298 187 | 187 2163 188 | 188 1108 189 | 189 1731 190 | 190 1601 191 | 191 1684 192 | 192 2025 193 | 193 1688 194 | 194 1736 195 | 195 1474 196 | 196 1770 197 | 197 1348 198 | 198 1570 199 | 199 1861 200 | 200 1458 201 | 201 2282 202 | 202 1553 203 | 203 2323 204 | 204 1202 205 | 205 1768 206 | 206 2184 207 | 207 1329 208 | 208 1781 209 | 209 1242 210 | 210 nan 211 | 211 1454 212 | 212 1501 213 | 213 875 214 | 214 1521 215 | 215 2611 216 | 216 1948 217 | 217 1707 218 | 218 1335 219 | 219 2211 220 | 220 1358 221 | 221 2501 222 | 222 1764 223 | 223 1527 224 | 224 1421 225 | 225 1949 226 | 226 2156 227 | 227 1503 228 | 228 1658 229 | 229 1032 230 | 230 1536 231 | 231 1345 232 | 232 2022 233 | 233 2035 234 | 234 2109 235 | 235 1587 236 | 236 1666 237 | 237 1064 238 | 238 1457 239 | 239 2399 240 | 240 1449 241 | 241 2406 242 | 242 1831 243 | 243 1423 244 | 244 1754 245 | 245 1641 246 | 246 1428 247 | 247 1928 248 | 248 1618 249 | 249 1361 250 | 250 1273 251 | 251 1300 252 | 252 997 253 | 253 1163 254 | 254 1480 255 | 255 2131 256 | 256 1833 257 | 257 1161 258 | 258 1168 259 | 259 1570 260 | 260 1675 261 | 261 966 262 | 262 1395 263 | 263 1638 264 | 264 1713 265 | 265 1799 266 | 266 1917 267 | 267 1894 268 | 268 1009 269 | 269 1003 270 | 270 1962 271 | 271 1730 272 | 272 731 273 | 273 2166 274 | 274 1059 275 | 275 1520 276 | 276 1708 277 | 277 1227 278 | 278 1085 279 | 279 1045 280 | 280 1720 281 | 281 1495 282 | 282 960 283 | 283 1420 284 | 284 1318 285 | 285 740 286 | 286 878 287 | 287 1357 288 | 288 2318 289 | 289 1544 290 | 290 1583 291 | 291 1693 292 | 292 1153 293 | 293 1469 294 | 294 2004 295 | 295 1114 296 | 296 1281 297 | 297 1500 298 | 298 1409 299 | 299 942 300 | 300 792 301 | 301 704 302 | 302 1584 303 | 303 1004 304 | 304 795 305 | 305 1000 306 | 306 2156 307 | 307 639 308 | 308 1391 309 | 309 1644 310 | 310 1398 311 | 311 967 312 | 312 1578 313 | 313 1068 314 | 314 1419 315 | 315 1784 316 | 316 1952 317 | 317 996 318 | 318 1485 319 | 319 1419 320 | 320 1534 321 | 321 1633 322 | 322 1013 323 | 323 2085 324 | 324 3102 325 | 325 1859 326 | 326 983 327 | 327 2169 328 | 328 2086 329 | 329 2204 330 | 330 1578 331 | 331 1526 332 | 332 1725 333 | 333 936 334 | 334 1678 335 | 335 1573 336 | 336 1187 337 | 337 1535 338 | 338 1333 339 | 339 1701 340 | 340 1925 341 | 341 1651 342 | 342 1491 343 | 343 1800 344 | 344 1976 345 | 345 1246 346 | 346 2141 347 | 347 1351 348 | 348 1505 349 | 349 1377 350 | 350 2386 351 | 351 1304 352 | 352 1424 353 | 353 1881 354 | 354 2393 355 | 355 1599 356 | 356 1444 357 | 357 1985 358 | 358 1158 359 | 359 2098 360 | 360 1540 361 | 361 1410 362 | 362 2115 363 | 363 1278 364 | 364 2039 365 | 365 2021 366 | 366 1901 367 | 367 1139 368 | 368 1903 369 | 369 2074 370 | 370 3661 371 | 371 1799 372 | 372 2431 373 | 373 1499 374 | 374 1040 375 | 375 1825 376 | 376 1733 377 | 377 1727 378 | 378 1076 379 | 379 1598 380 | 380 1146 381 | 381 1534 382 | 382 1514 383 | 383 1540 384 | 384 1445 385 | 385 1248 386 | 386 1710 387 | 387 2114 388 | 388 1816 389 | 389 1759 390 | 390 2173 391 | 391 1791 392 | 392 1710 393 | 393 1930 394 | 394 1803 395 | 395 1879 396 | 396 2289 397 | 397 1839 398 | 398 1641 399 | 399 1374 400 | 400 1524 401 | 401 1360 402 | 402 1303 403 | 403 1654 404 | 404 1928 405 | 405 1558 406 | 406 1736 407 | 407 1752 408 | 408 1042 409 | 409 1201 410 | 410 1498 411 | 411 2101 412 | 412 2389 413 | 413 1326 414 | 414 1285 415 | 415 1413 416 | 416 1970 417 | 417 1242 418 | 418 1920 419 | 419 1163 420 | 420 1651 421 | 421 1300 422 | 422 1850 423 | 423 1799 424 | 424 1703 425 | 425 1627 426 | 426 1522 427 | 427 1409 428 | 428 2631 429 | 429 1647 430 | 430 1536 431 | 431 1433 432 | 432 1749 433 | 433 1274 434 | 434 1658 435 | 435 1579 436 | 436 1607 437 | 437 1382 438 | 438 1322 439 | 439 1168 440 | 440 1067 441 | 441 1890 442 | 442 1659 443 | 443 1064 444 | 444 868 445 | 445 1288 446 | 446 2166 447 | 447 1382 448 | 448 1417 449 | 449 2018 450 | 450 1777 451 | 451 1596 452 | 452 1420 453 | 453 1324 454 | 454 1899 455 | 455 1513 456 | 456 1683 457 | 457 1369 458 | 458 1266 459 | 459 1034 460 | 460 2045 461 | 461 1498 462 | 462 1607 463 | 463 1331 464 | 464 1132 465 | 465 1238 466 | 466 2298 467 | 467 1241 468 | 468 2039 469 | 469 1177 470 | 470 1220 471 | 471 1746 472 | 472 1917 473 | 473 1165 474 | 474 860 475 | 475 1830 476 | 476 1170 477 | 477 1229 478 | 478 1274 479 | 479 1900 480 | 480 1867 481 | 481 1610 482 | 482 1963 483 | 483 1669 484 | 484 1291 485 | 485 1751 486 | 486 1335 487 | 487 1323 488 | 488 1652 489 | 489 2086 490 | 490 1437 491 | 491 1731 492 | 492 1950 493 | 493 2203 494 | 494 2260 495 | 495 1580 496 | 496 1562 497 | 497 1860 498 | 498 1793 499 | 499 1000 500 | 500 1912 501 | 501 2475 502 | 502 2105 503 | 503 1732 504 | 504 2309 505 | 505 1874 506 | 506 1816 507 | 507 1097 508 | 508 2015 509 | 509 2241 510 | 510 2772 511 | 511 1320 512 | 512 2738 513 | 513 1389 514 | 514 2251 515 | 515 2167 516 | 516 2028 517 | 517 1590 518 | 518 2341 519 | 519 2011 520 | 520 1613 521 | 521 1671 522 | 522 1999 523 | 523 2894 524 | 524 2637 525 | 525 1884 526 | 526 2404 527 | 527 2255 528 | 528 1960 529 | 529 1847 530 | 530 1558 531 | 531 1559 532 | 532 2040 533 | 533 1996 534 | 534 2051 535 | 535 1803 536 | 536 1969 537 | 537 1937 538 | 538 2082 539 | 539 1408 540 | 540 2731 541 | 541 2220 542 | 542 2330 543 | 543 2437 544 | 544 1915 545 | 545 1986 546 | 546 2145 547 | 547 2276 548 | 548 2157 549 | 549 2626 550 | 550 1536 551 | 551 1558 552 | 552 3044 553 | 553 2246 554 | 554 2383 555 | 555 2009 556 | 556 1972 557 | 557 2145 558 | 558 2102 559 | 559 2327 560 | 560 1732 561 | 561 2640 562 | 562 1992 563 | 563 2199 564 | 564 2393 565 | 565 2190 566 | 566 2495 567 | 567 2390 568 | 568 2435 569 | 569 1737 570 | 570 2052 571 | 571 2034 572 | 572 1834 573 | 573 3005 574 | 574 1429 575 | 575 2215 576 | 576 1902 577 | 577 2284 578 | 578 1993 579 | 579 2059 580 | 580 2169 581 | 581 1981 582 | 582 2098 583 | 583 2506 584 | 584 1911 585 | 585 2560 586 | 586 1301 587 | 587 1859 588 | 588 2286 589 | 589 1734 590 | 590 2156 591 | 591 2402 592 | 592 2404 593 | 593 3244 594 | 594 1977 595 | 595 2412 596 | 596 2007 597 | 597 2014 598 | 598 1564 599 | 599 2022 600 | 600 1772 601 | 601 2582 602 | 602 1845 603 | 603 1621 604 | 604 1770 605 | 605 2021 606 | 606 2355 607 | 607 1996 608 | 608 2127 609 | 609 2113 610 | 610 1935 611 | 611 2125 612 | 612 1786 613 | 613 2276 614 | 614 2978 615 | 615 2542 616 | 616 2112 617 | 617 1968 618 | 618 2368 619 | 619 2241 620 | 620 2073 621 | 621 2122 622 | 622 2166 623 | 623 2575 624 | 624 2500 625 | 625 2181 626 | 626 1967 627 | 627 2072 628 | 628 2027 629 | 629 2345 630 | 630 2024 631 | 631 2249 632 | 632 2455 633 | 633 2265 634 | 634 2425 635 | 635 2851 636 | 636 1997 637 | 637 3298 638 | 638 2366 639 | 639 1853 640 | 640 2896 641 | 641 2537 642 | 642 2300 643 | 643 2849 644 | 644 2974 645 | 645 1931 646 | 646 3009 647 | 647 2538 648 | 648 2782 649 | 649 2491 650 | 650 2408 651 | 651 2003 652 | 652 2752 653 | 653 2576 654 | 654 2818 655 | 655 2683 656 | 656 2628 657 | 657 2994 658 | 658 2303 659 | 659 2771 660 | 660 2607 661 | 661 2704 662 | 662 2839 663 | 663 3256 664 | 664 3025 665 | 665 2684 666 | 666 3006 667 | 667 3310 668 | 668 3183 669 | 669 2523 670 | 670 3401 671 | 671 2840 672 | 672 3193 673 | 673 2969 674 | 674 3337 675 | 675 3464 676 | 676 3264 677 | 677 3535 678 | 678 3089 679 | 679 2935 680 | 680 3007 681 | 681 4000 682 | 682 3488 683 | 683 2814 684 | 684 3382 685 | 685 2901 686 | 686 4260 687 | 687 3785 688 | 688 4139 689 | 689 3588 690 | 690 3343 691 | 691 3118 692 | 692 3456 693 | 693 4150 694 | 694 3827 695 | 695 3992 696 | 696 4667 697 | 697 3301 698 | 698 3931 699 | 699 4496 700 | 700 3402 701 | 701 3672 702 | 702 3550 703 | 703 4230 704 | 704 3805 705 | 705 3352 706 | 706 3602 707 | 707 4015 708 | 708 3548 709 | 709 3316 710 | 710 3932 711 | 711 3596 712 | 712 5289 713 | 713 3561 714 | 714 3990 715 | 715 3889 716 | 716 3636 717 | 717 3799 718 | 718 4188 719 | 719 5248 720 | 720 4176 721 | 721 4829 722 | 722 4346 723 | 723 4224 724 | 724 4813 725 | 725 3997 726 | 726 4357 727 | 727 4322 728 | 728 4156 729 | 729 4630 730 | 730 4415 731 | 731 4410 732 | 732 4724 733 | 733 4363 734 | 734 4798 735 | 735 4749 736 | 736 5143 737 | 737 4906 738 | 738 4309 739 | 739 4970 740 | 740 4813 741 | 741 5392 742 | 742 5906 743 | 743 4881 744 | -------------------------------------------------------------------------------- /data/08. PinkWink Web Traffic.csv: -------------------------------------------------------------------------------- 1 | 16. 7. 1.,766 2 | 16. 7. 2.,377 3 | 16. 7. 3.,427 4 | 16. 7. 4.,902 5 | 16. 7. 5.,850 6 | 16. 7. 6.,876 7 | 16. 7. 7.,868 8 | 16. 7. 8.,785 9 | 16. 7. 9.,417 10 | 16. 7. 10.,550 11 | 16. 7. 11.,818 12 | 16. 7. 12.,981 13 | 16. 7. 13.,877 14 | 16. 7. 14.,833 15 | 16. 7. 15.,737 16 | 16. 7. 16.,393 17 | 16. 7. 17.,489 18 | 16. 7. 18.,817 19 | 16. 7. 19.,989 20 | 16. 7. 20.,908 21 | 16. 7. 21.,835 22 | 16. 7. 22.,782 23 | 16. 7. 23.,408 24 | 16. 7. 24.,429 25 | 16. 7. 25.,808 26 | 16. 7. 26.,808 27 | 16. 7. 27.,765 28 | 16. 7. 28.,742 29 | 16. 7. 29.,742 30 | 16. 7. 30.,344 31 | 16. 7. 31.,408 32 | 16. 8. 1.,823 33 | 16. 8. 2.,781 34 | 16. 8. 3.,745 35 | 16. 8. 4.,719 36 | 16. 8. 5.,629 37 | 16. 8. 6.,386 38 | 16. 8. 7.,382 39 | 16. 8. 8.,795 40 | 16. 8. 9.,799 41 | 16. 8. 10.,850 42 | 16. 8. 11.,717 43 | 16. 8. 12.,595 44 | 16. 8. 13.,335 45 | 16. 8. 14.,346 46 | 16. 8. 15.,433 47 | 16. 8. 16.,759 48 | 16. 8. 17.,829 49 | 16. 8. 18.,716 50 | 16. 8. 19.,659 51 | 16. 8. 20.,375 52 | 16. 8. 21.,386 53 | 16. 8. 22.,727 54 | 16. 8. 23.,812 55 | 16. 8. 24.,723 56 | 16. 8. 25.,736 57 | 16. 8. 26.,613 58 | 16. 8. 27.,337 59 | 16. 8. 28.,391 60 | 16. 8. 29.,704 61 | 16. 8. 30.,757 62 | 16. 8. 31.,788 63 | 16. 9. 1.,823 64 | 16. 9. 2.,721 65 | 16. 9. 3.,401 66 | 16. 9. 4.,463 67 | 16. 9. 5.,948 68 | 16. 9. 6.,993 69 | 16. 9. 7.,"1,034" 70 | 16. 9. 8.,877 71 | 16. 9. 9.,808 72 | 16. 9. 10.,508 73 | 16. 9. 11.,669 74 | 16. 9. 12.,899 75 | 16. 9. 13.,732 76 | 16. 9. 14.,352 77 | 16. 9. 15.,312 78 | 16. 9. 16.,369 79 | 16. 9. 17.,522 80 | 16. 9. 18.,655 81 | 16. 9. 19.,"1,170" 82 | 16. 9. 20.,"1,207" 83 | 16. 9. 21.,"1,178" 84 | 16. 9. 22.,"1,126" 85 | 16. 9. 23.,929 86 | 16. 9. 24.,623 87 | 16. 9. 25.,799 88 | 16. 9. 26.,"1,307" 89 | 16. 9. 27.,"1,331" 90 | 16. 9. 28.,"1,455" 91 | 16. 9. 29.,"1,342" 92 | 16. 9. 30.,"1,090" 93 | 16. 10. 1.,749 94 | 16. 10. 2.,797 95 | 16. 10. 3.,"1,117" 96 | 16. 10. 4.,"1,665" 97 | 16. 10. 5.,"1,579" 98 | 16. 10. 6.,"1,461" 99 | 16. 10. 7.,"1,188" 100 | 16. 10. 8.,849 101 | 16. 10. 9.,"1,364" 102 | 16. 10. 10.,"1,648" 103 | 16. 10. 11.,"1,637" 104 | 16. 10. 12.,"1,601" 105 | 16. 10. 13.,"1,499" 106 | 16. 10. 14.,"1,159" 107 | 16. 10. 15.,902 108 | 16. 10. 16.,"1,066" 109 | 16. 10. 17.,"1,594" 110 | 16. 10. 18.,"1,568" 111 | 16. 10. 19.,"1,453" 112 | 16. 10. 20.,"1,433" 113 | 16. 10. 21.,"1,265" 114 | 16. 10. 22.,772 115 | 16. 10. 23.,932 116 | 16. 10. 24.,"1,439" 117 | 16. 10. 25.,"1,448" 118 | 16. 10. 26.,"1,367" 119 | 16. 10. 27.,"1,313" 120 | 16. 10. 28.,895 121 | 16. 10. 29.,680 122 | 16. 10. 30.,872 123 | 16. 10. 31.,"1,464" 124 | 16. 11. 1.,"1,476" 125 | 16. 11. 2.,"1,520" 126 | 16. 11. 3.,"1,464" 127 | 16. 11. 4.,"1,239" 128 | 16. 11. 5.,734 129 | 16. 11. 6.,993 130 | 16. 11. 7.,"1,673" 131 | 16. 11. 8.,"1,736" 132 | 16. 11. 9.,"1,562" 133 | 16. 11. 10.,"1,440" 134 | 16. 11. 11.,"1,228" 135 | 16. 11. 12.,710 136 | 16. 11. 13.,950 137 | 16. 11. 14.,"1,618" 138 | 16. 11. 15.,"1,673" 139 | 16. 11. 16.,"1,615" 140 | 16. 11. 17.,"1,563" 141 | 16. 11. 18.,"1,318" 142 | 16. 11. 19.,789 143 | 16. 11. 20.,"1,069" 144 | 16. 11. 21.,"1,741" 145 | 16. 11. 22.,"1,745" 146 | 16. 11. 23.,"1,774" 147 | 16. 11. 24.,"1,596" 148 | 16. 11. 25.,"1,343" 149 | 16. 11. 26.,861 150 | 16. 11. 27.,"1,102" 151 | 16. 11. 28.,"1,728" 152 | 16. 11. 29.,"1,861" 153 | 16. 11. 30.,"2,107" 154 | 16. 12. 1.,"2,022" 155 | 16. 12. 2.,"1,748" 156 | 16. 12. 3.,"1,233" 157 | 16. 12. 4.,"1,264" 158 | 16. 12. 5.,"1,750" 159 | 16. 12. 6.,"1,941" 160 | 16. 12. 7.,"1,580" 161 | 16. 12. 8.,"1,653" 162 | 16. 12. 9.,"1,476" 163 | 16. 12. 10.,"1,054" 164 | 16. 12. 11.,"1,088" 165 | 16. 12. 12.,"1,618" 166 | 16. 12. 13.,"1,753" 167 | 16. 12. 14.,"1,697" 168 | 16. 12. 15.,"1,634" 169 | 16. 12. 16.,"1,389" 170 | 16. 12. 17.,956 171 | 16. 12. 18.,876 172 | 16. 12. 19.,"1,410" 173 | 16. 12. 20.,"1,316" 174 | 16. 12. 21.,"1,202" 175 | 16. 12. 22.,"1,026" 176 | 16. 12. 23.,855 177 | 16. 12. 24.,386 178 | 16. 12. 25.,379 179 | 16. 12. 26.,953 180 | 16. 12. 27.,979 181 | 16. 12. 28.,"1,027" 182 | 16. 12. 29.,933 183 | 16. 12. 30.,688 184 | 16. 12. 31.,380 185 | 17. 1. 1.,378 186 | 17. 1. 2.,"1,013" 187 | 17. 1. 3.,"1,066" 188 | 17. 1. 4.,"1,149" 189 | 17. 1. 5.,"1,200" 190 | 17. 1. 6.,"1,071" 191 | 17. 1. 7.,491 192 | 17. 1. 8.,655 193 | 17. 1. 9.,"1,238" 194 | 17. 1. 10.,"1,208" 195 | 17. 1. 11.,"1,135" 196 | 17. 1. 12.,"1,152" 197 | 17. 1. 13.,"1,011" 198 | 17. 1. 14.,547 199 | 17. 1. 15.,513 200 | 17. 1. 16.,"1,171" 201 | 17. 1. 17.,"1,180" 202 | 17. 1. 18.,"1,114" 203 | 17. 1. 19.,"1,068" 204 | 17. 1. 20.,"1,050" 205 | 17. 1. 21.,498 206 | 17. 1. 22.,506 207 | 17. 1. 23.,"1,148" 208 | 17. 1. 24.,"1,088" 209 | 17. 1. 25.,"1,025" 210 | 17. 1. 26.,789 211 | 17. 1. 27.,405 212 | 17. 1. 28.,316 213 | 17. 1. 29.,354 214 | 17. 1. 30.,530 215 | 17. 1. 31.,"1,083" 216 | 17. 2. 1.,"1,060" 217 | 17. 2. 2.,"1,076" 218 | 17. 2. 3.,"1,003" 219 | 17. 2. 4.,555 220 | 17. 2. 5.,588 221 | 17. 2. 6.,"1,170" 222 | 17. 2. 7.,"1,173" 223 | 17. 2. 8.,"1,177" 224 | 17. 2. 9.,"1,159" 225 | 17. 2. 10.,994 226 | 17. 2. 11.,617 227 | 17. 2. 12.,587 228 | 17. 2. 13.,"1,139" 229 | 17. 2. 14.,"1,250" 230 | 17. 2. 15.,"1,192" 231 | 17. 2. 16.,"1,101" 232 | 17. 2. 17.,987 233 | 17. 2. 18.,614 234 | 17. 2. 19.,645 235 | 17. 2. 20.,"1,254" 236 | 17. 2. 21.,"1,227" 237 | 17. 2. 22.,"1,217" 238 | 17. 2. 23.,"1,139" 239 | 17. 2. 24.,"1,002" 240 | 17. 2. 25.,613 241 | 17. 2. 26.,619 242 | 17. 2. 27.,"1,213" 243 | 17. 2. 28.,"1,146" 244 | 17. 3. 1.,677 245 | 17. 3. 2.,"1,190" 246 | 17. 3. 3.,"1,082" 247 | 17. 3. 4.,628 248 | 17. 3. 5.,723 249 | 17. 3. 6.,"1,343" 250 | 17. 3. 7.,"1,563" 251 | 17. 3. 8.,"2,243" 252 | 17. 3. 9.,"1,972" 253 | 17. 3. 10.,"1,398" 254 | 17. 3. 11.,883 255 | 17. 3. 12.,"1,036" 256 | 17. 3. 13.,"1,883" 257 | 17. 3. 14.,"1,804" 258 | 17. 3. 15.,"1,966" 259 | 17. 3. 16.,"1,958" 260 | 17. 3. 17.,"1,660" 261 | 17. 3. 18.,984 262 | 17. 3. 19.,"1,635" 263 | 17. 3. 20.,"2,372" 264 | 17. 3. 21.,"2,182" 265 | 17. 3. 22.,"2,147" 266 | 17. 3. 23.,"2,045" 267 | 17. 3. 24.,"1,626" 268 | 17. 3. 25.,"1,136" 269 | 17. 3. 26.,"1,375" 270 | 17. 3. 27.,"2,338" 271 | 17. 3. 28.,"2,352" 272 | 17. 3. 29.,"2,218" 273 | 17. 3. 30.,"1,958" 274 | 17. 3. 31.,"1,669" 275 | 17. 4. 1.,"1,088" 276 | 17. 4. 2.,"1,420" 277 | 17. 4. 3.,"2,281" 278 | 17. 4. 4.,"2,317" 279 | 17. 4. 5.,"2,290" 280 | 17. 4. 6.,"2,156" 281 | 17. 4. 7.,"2,172" 282 | 17. 4. 8.,"1,191" 283 | 17. 4. 9.,"1,565" 284 | 17. 4. 10.,"2,336" 285 | 17. 4. 11.,"2,374" 286 | 17. 4. 12.,"2,210" 287 | 17. 4. 13.,"2,019" 288 | 17. 4. 14.,"1,892" 289 | 17. 4. 15.,"1,286" 290 | 17. 4. 16.,"1,332" 291 | 17. 4. 17.,"2,187" 292 | 17. 4. 18.,"2,266" 293 | 17. 4. 19.,"2,060" 294 | 17. 4. 20.,"2,065" 295 | 17. 4. 21.,"1,600" 296 | 17. 4. 22.,"1,060" 297 | 17. 4. 23.,"1,241" 298 | 17. 4. 24.,"1,941" 299 | 17. 4. 25.,"1,898" 300 | 17. 4. 26.,"1,873" 301 | 17. 4. 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ydata=%f' % 9 | ('double' if event.dblclick else 'single', event.button, 10 | event.x, event.y, event.xdata, event.ydata)) 11 | 12 | cid = fig.canvas.mpl_connect('button_press_event', onclick) 13 | 14 | plt.show() --------------------------------------------------------------------------------