Data
Analysis Documentation
Curated Learning Resources
Data Science Practice 101: Always Leave An Analysis Paper TrailRandy advocates that data documentation makes the work of data scientists easily traceable and reproducible. This is particularly important when working on ad-hoc analysis requests, as it is easy for output to end up in a temporary directory with little context. There are several ways to package analysis deliverables, including Excel files, CSV files, slide decks, dashboards, and shared documents, in order to make them free-standing and easily traceable.
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