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Data Cleaning Duen Horng (Polo) Chau Assistant Professor Associate - PowerPoint PPT Presentation

Nov 12, 2022 •162 likes •316 views

http://poloclub.gatech.edu/cse6242 CSE6242 / CX4242: Data & Visual Analytics Data Cleaning Duen Horng (Polo) Chau Assistant Professor Associate Director, MS Analytics Georgia Tech Partly based on materials by

  1. http://poloclub.gatech.edu/cse6242 
 CSE6242 / CX4242: Data & Visual Analytics 
 Data Cleaning Duen Horng (Polo) Chau 
 Assistant Professor 
 Associate Director, MS Analytics 
 Georgia Tech Partly based on materials by 
 Professors Guy Lebanon, Jeffrey Heer, John Stasko, Christos Faloutsos

  2. Data Cleaning 
 How dirty is real data?

  3. 
 How dirty is real data? Examples • Jan 19, 2016 • January 19, 16 • 1/19/16 • 2006-01-19 • 19/1/16 3 http://blogs.verdantis.com/wp-content/uploads/2015/02/Data-cleansing.jpg

  4. How dirty is real data? Discuss with you neighbors (group of 2-3) 60 seconds Comes up with 5+ kinds of “data dirtiness” 4

  5. How dirty is real data? • spelling errors • missing data • different units/measurements • leading zeros… • wrong data types • cases lower/upper • inconsistent (last name/first name order exchange) • duplication • language writing order • different “null” • white spaces • big/little endian (maybe) 5

  6. Importance of Data Cleaning

  7. “80%” Time Spent on Data Preparation Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says [Forbes] 
 http://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-time- consuming-least-enjoyable-data-science-task-survey-says/#73bf5b137f75 7

  8. Data Janitor

  9. Writing “Clean Code” • Be careful with trailing whitespaces • Indent code ( spaces vs tabs ) following coding practices in your team/company 
 https://google.github.io/styleguide/javaguide.html#s4.2-block-indentation …there’s no way I'm going to be with someone who uses spaces over tabs… http://www.businessinsider.com/tabs-vs-spaces-from-silicon-valley-2016-5 Trailing whitespace is evil. Don't commit evil into your repo. http://codeimpossible.com/2012/04/02/trailing-whitespace-is-evil-don-t-commit-evil-into-your-repo/ 9

  10. 10

  11. Data Cleaners Watch videos • Data Wrangler (research at Stanford) • Open Refine (previously Google Refine ) Write down • Examples of data dirtiness • Tool’s features demo-ed (or that you like) Will collectively summarize similarities and differences afterwards Open Refine : http://openrefine.org Data Wrangler : http://vis.stanford.edu/wrangler/ 11

  14. What can Open Refine and Wrangler do? O = Open Refine W = Data wrangler 14

  15. ! The videos only show some of the tools’ features. Try them out. Open Refine : http://openrefine.org Data Wrangler : http://vis.stanford.edu/wrangler/ 15

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