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preloaded fixtures
import pandas as pd
clicks = pd.DataFrame({
"user_id": [1, 1, 2, 2, 3, 4],
"campaign": ["spring", "summer", "spring", "spring", "summer", "spring"],
"clicked_at": pd.to_datetime([
"2024-03-01", "2024-03-09", "2024-03-02", "2024-03-06", "2024-02-20", "2024-03-05",
]),
})
conversions = pd.DataFrame({
"conversion_id": [1, 2, 3, 4],
"user_id": [1, 2, 3, 5],
"converted_at": pd.to_datetime(["2024-03-10", "2024-03-08", "2024-03-04", "2024-03-07"]),
"value": [80.0, 25.0, 40.0, 60.0],
})
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“Last-click attribution window”
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Pro problem
“Last-click attribution window”
This is one of the real interview questions in Pro. Try Pro free for 7 days to unlock it and everything below:
- 293 interview-grade problems across SQL, Python & pandas
- 104+ real-world SQL problems: SaaS retention, fintech ledgers, supply chain, recursive CTEs
- 18 company interview packs (Amazon, Meta, Google, Uber and more)
- AI "explain my mistake" tutor and mock interviews
- Use QueryLab inside Claude, Cursor & other AI assistants
// built for real interview rounds
Practice the patterns 18 top companies test
329 problems · 36 free forever · 293 unlocked with Pro
Card required. Then $12/month. Cancel before your trial ends and you pay nothing.
or keep practicing free problems →Secure checkout by Paddle · instant access · cancel anytime from your account