1. Name, email, date created, date updated at beginning of script. 2. Concise comments along with code. 3. Detailed README document.
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For me, *writing* the README and comments lends clarity to creation. Definitely a good process!
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Keeping a running "lab notebook" (just a long Markdown file) to write down hypotheses and preliminary results, and track thoughts and ideas.
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Right! This is distinct from the README, because the README has to provide a summary of current state. Labnotebook.md can be a narrative.
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Make a checklist of breakpoints/unit tests for the data with regards to the outcomes you are testing. Manually test the most important.
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Read up on the data, visualize some observations or print some rows, compute descriptive statistics, do some basic aggregation
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Basically get feel for structure before piping into algorithms that make assumptions (usually gaussian) about the data
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