Quality Assurance for Data Tables | Diana Lavery | Skillshare
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6 Lessons (35m)
    • 1. 1 Intro

    • 2. 2 Parts To Whole

    • 3. 3 Out Of Range

    • 4. 4 Formatting And Labeling

    • 5. 5 Final Reality Checks

    • 6. 6 Beyond Data Tables


About This Class

Social Science Quantoid Diana Lavery will help you think through and develop a Quality Assurance Checklist for your next data project in this fun 40 minute class.

Learn how to catch errors in your data tables early on. Some principles that will be covered are "parts to whole" and "out of range" but there are many other tips and tricks that Diana uses in her Quality Assurance (QA) Checklist processes that she will share with you. Diana mostly uses these QA Checklists for producing data tables, but this concept can be used for anything you produce or update on a regular basis: reports, graphs, maps, etc. QA Checklists are not limited to tables only!