Before you start using a dataset, for any analytical project, you need to make sure that your dataset is trustworthy. This is a crucial step that you should never neglect. This Data Quality Checklist enables you, by answering specific questions, to check the validity, reliability, timeliness, precision, integrity, completeness and compliance of your data.

Click here to download the checklist in pdf (only page 1 is shown below).

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