Library Carpentry: Introduction to Data: Data Intro Cheat Sheet

Key Points

Introduction to Library Carpentry	Don’t be scared to ask for help
전문용어해설(Jargon Busting)	이미 잘 아는 것을 공유하도록 하고, 소프트웨어 개발과 데이터 과학 전문용어에 관해서 모르는 것을 확실히 한다.
밑바탕 토대	자료구조는 일관성과 함께 예측가능해야 된다. 데이터 디렉토리에 데이터 식별자 혹은 의미론적 요소(semantic element)를 적극 사용하는 것을 고려한다. 본인 작업에 적합하도록 자료 구조를 맞추고 조정한다. 파일과 디렉토리를 식별하도록 작명 규칙(naming conventions)을 적용시켜 데이터 요소간에 연관관계를 생성함으로써 장기적으로 자료 구조에 대한 이해와 가독성을 높인다.
정규 표현식	정규 표현식은 패턴을 매칭하는 언어다. 정규 표현식을 인터랙티브하게 regex101.com 혹은 RegExr.com 웹사이트에서 테스트하고, regexper.com 사이트에서 시각화도 해본다. RegexCrossword.com/ 혹은 다중선택 퀴를 풀어본다.
Introduction to Data - Multiple Choice Quiz	Regular expressions reference guide
Introduction to Data - Multiple Choice Quiz (answers)"	Regular expressions answer sheet

Data Intro Cheat Sheet

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Regular Expression

• [] defines a range of characters.
• . matches any character.
• \ is used to escape the following character when that character is a special character. So, for example, a regular expression that found ‘.com’ would be \\.com because . is a special character that matches any character.
• \d matches any single digit.
• \w matches any part of word character (equivalent to [A-Za-z0-9]).
• \s matches any space, tab, or newline.
• ^ asserts the position at the start of the line. So what you put after it will only match if they are the first characters of a line.
• $ asserts the position at the end of the line. So what you put before it will only match if they are the last characters of a line.
• \b adds a word boundary. Putting this either side of a stops the regular expression matching longer variants of words.
• * matches the preceding element zero or more times. For example, ab*c matches ‘ac’, ‘abc’, ‘abbbc’, etc.
• + matches the preceding element one or more times. For example, ab+c matches ‘abc’, ‘abbbc’ but not ‘ac’.
• ? matches when the preceding character appears zero or one time.
• {VALUE} matches the preceding character the number of times define by VALUE; ranges can be specified with the syntax {VALUE,VALUE}.
• | means or.

References

James Baker , “Preserving Your Research Data,” Programming Historian (30 April 2014), http://programminghistorian.org/lessons/preserving-your-research-data.html. The sub-sections ‘Plain text formats are your friend’ and ‘Naming files sensible things is good for you and for your computers’ are reworked from this lesson.

Owen Stephens, “Working with Data using OpenRefine”, *Overdue Ideas” (19 November 2014), http://www.meanboyfriend.com/overdue_ideas/2014/11/working-with-data-using-openrefine/. The section on ‘Regular Expressions’ is reworked from this lesson developed by Owen Stephens on behalf of the British Library

Andromeda Yelton, “Coding for Librarians: Learning by Example”, Library Technology Reports 51:3 (April 2015), doi: 10.5860/ltr.51n3

Fiona Tweedie, “Why Code?”, The Research Bazaar (October 2014), http://melbourne.resbaz.edu.au/post/95320810834/why-code