Checklist for #DataScience projects:
1. Identify your problem.
2. Make sure its a problem.
3. Find and collect data.
4. Think about your problem.
5. Clean your data.
6. Think about your problem.
7. Visualize your data.
8. Clean your data.
9. Think about your problem.
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20. Clean your data. 21. Think about your problem. 22. Visualize your data. ⋮ ⋮ ⋮ XX. Run an OLS while thinking about your problem. ⋮ ⋮ ⋮ YY. Consider more elaborate methods while thinking about your problem. ⋮ ⋮ ⋮ ⋮ ⋮ ZZ. Ask "What problem did I solve?"
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