Search Trends Line Graph for [Topic], Last 12 Months
Create a line graph showing search trends for [insert topic] over the last year.
12 prompts in this category. First 5 shown free.
Create a line graph showing search trends for [insert topic] over the last year.
Write SQL for a cohort retention table on [TABLE]: group users by their [SIGNUP_PERIOD] cohort, then show the % still active in each following period. State the cohort definition, the return-event that counts as retained, and how you handle partial/incomplete cohorts. Return the query plus how to read the triangle.
I see [RESULT] in [METRIC]. Before I act, run sanity checks: is the sample large enough, is the difference statistically significant (state test + p-value), could a confounder like [VARIABLE] or seasonality explain it, is it survivor/selection bias, and is the metric definition stable. Output: verdict (real / noise / unclear) + what to check next.
Write a pandas cleaning pipeline for messy [DATASET]. Handle in order: coerce dtypes (pd.to_datetime, numeric), strip/lowercase text, standardize categories, decide drop vs fillna per column with a stated reason, remove exact + near-duplicates, and rename columns to snake_case. Output runnable code plus a before/after row-count log.
Design a decision dashboard for [GOAL] / [TEAM]. Pick one North Star metric, then 4-6 supporting metrics pairing each leading indicator next to the lagging one it drives, plus 1-2 guardrail metrics. For each: definition, why it's actionable not vanity, and the threshold that should trigger a decision. Return as a table.
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