Map common Python data-analysis tasks to CRISP-DM phases so notebook work stays decision-oriented.
sort-buckets stage-strip score-chips Sort each task into the CRISP-DM phase it primarily supports. Business Understanding Data Understanding Data Preparation Evaluation Deployment Write the decision this notebook must support and the metric that will answer it. Check row count, date range, missing channel rate, and duplicate trial IDs. Create a cleaned trial cohort dataframe with documented exclusion rules. Test whether the conversion drop remains after segmenting by acquisition source. Export a small table and chart with the source dates in the filename. Ask whether the stakeholder needs logo conversion, paid activation, or revenue conversion. Inspect whether the signup event schema changed…
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