Checklist: Data Cleaning
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This article is part of the topic Check Lists
- DIME Analytics’ guidelines on data cleaning 1 and 2
- The Stata Cheat Sheets on Data processing and Data Transformation are helpful reminder of relevant Stata code.
- The Quartz guide to bad data on Github has lots of helpful tips for dealing with the kind of data problems that often come up in real world settings.
- See this data cleaning checklist to ensure that common cleaning actions have been completed. Note that this is not an exhaustive list. Such a list is impossible to create as the individual datasets and the analysis require different cleaning depending on context.