[class: PM Camp@Fast Campus#15] 사용자 행동 데이터 분석하기 #3 (my note is WIP)

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6. 27 토

사용자 행동 데이터 분석하기 #3

구글 애널리틱스의 고급 기능 활용하기 각종 사용자 정의 기능들 정규표현식으로 검색하기 세그먼트 만들기 구글 스프레드시트와 연동하기 분석 실습 #3

강규영

1. App Log Architecturing, Regular Expression, Google Sheet Linking [Gyuyoung Kang@Box and Whisker, Founder]
1. lesson:
1. Regular Expression
1. purpose: language finding string patterns
2. two things to note: 1:1 대응, 3 patterns
3. 3 patterns:
1. character class: \d (i.e. [0-9]), \w (alphanumeric: [A-Za-z0-9]), \s (space, tab)
1. e.g. 1\d, \w, \d\d\d\d/d\d/\d\d, \w\w\w\w\d\d
2. ? (0~1), + (1~), * (0~)
1. e.g. +, .+, 하기(\d )?.+::
3. ( | ), [ ]
1. e.g. (Elizabeth|Lizz), (아빠|형)[가이], (엄마|아빠)랑, [가나다abc123], [가나다a-e], [가-힣], /2015/0[1-5]/,  /2015/0[12345]/
4. e.g. email pattern: e.g. \w+@[^\s]+\.\w\w\w?
5. c.f. \\
2. bounce
1. bounce
2. skim
3. reader
3. customized report: link to my example
4. EDA (investigator role) -> CDA (judge role)
1. watch out: usefulness

2. personal takeaway:
1. c.f. Project Gutenberg: free texts (good for example text)
2. question: filter applies to all view?
3. prepare reproducible analysis via automation
4. read Exploratory Data Analysis (EDA) by John Tukey-> Confirmatory Data Analysis (CDA)