This checklist provides a condensed look at the information in this book. It can be used as a guide during the process of a data analysis, as a rubric for grading data analysis projects, or as a way to evaluate the quality of a reported data analysis.
- Did you specify the type of data analytic question (e.g. exploration, assocation causality) before touching the data?
- Did you define the metric for success before beginning?
- Did you understand the context for the question and the scientific or business application?
- Did you record the experimental design?