Diagnose and Clean Dirty Data

Dirty data is a big problem. But what is it? In a wide-ranging discussion, Umbel’s data scientists cover why some things are possible to fix after the fact, but also how you can save yourself headaches down the line with a solid data collection strategy from the very beginning.

Beyond the don’ts of data collection, they also touch on:

  • Basic principles of ‘Tidy Data’
  • Common data ‘gotchas’
  • Best practices for getting the most out of data sets

You can watch their on-demand webinar or check out a recap infographic of the six signs of dirty data.

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