Thomas Betts: Tidy Data by Hadley Wickham

Papers We Love - Denver
Papers We Love - Denver
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Join us on March 22nd when Thomas discusses the principles of Data Tidying, a small, but important, component of data cleaning that can streamline the process of working with messy data.

All those hip and trendy machine learning algorithms may be cool, but suffer from GIGO - Garbage In, Garbage Out. Data Scientists spend a lot of time cleaning their data so it is ready for analysis.

Just like preparing your guest bathroom before company comes to visit, you're going to have to get your hands dirty. You also don't want to spend any more time cleaning than necessary.