Understanding Data: Cleaning, Preparing and Verifying Data

This guide recommends strategies for understanding data, including data cleaning, verification, and ethical considerations.


Unfortunately, real-life data collection is often messy and disorganized. There might be surveys collected in different formats, or have various nuances from several collectors. The situation becomes even worse when the project involves collation and aggregation of already existing data sources, where there is no complete knowledge of the methodology, or when the data is provided in badly formatted files.

This resource provides guidance on data cleanup and verification strategies that include ethical considerations for organizations.

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