AIHR Learning Bite: Data Cleaning in HR [5 Steps]
In this Bite we explore the relevance of data cleaning and provide 5 guiding steps as well as caveats that’ll help you dive into the process right away:
- Check if the data are up-to-date.
- Check for recurring unique identifiers.
- Count missing values.
- Check for numerical outliers.
- Define valid data output and remove all invalid data values.
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Click here to read our in-depth article on data cleaning in HR and access our infographic, here to learn how to calculate the interquartile range, and here to access the Global Data Integrity course.
