Data AnalyticsJudging
Clean the unclean sales master
48,219 rows, three dtype conflicts, four spellings of every product. Make it trustworthy, and show your working.
- Time needed
- 4 days
- Data
- 48k rows
The brief
This is the audit half of analytics, the part courses skip. Nulls are concentrated in one region rather than scattered, store IDs collide across a migration, and product names have four spellings. Your job is not to make the file pretty — it is to state what can be trusted and what cannot, and to leave a trail a reviewer can follow.
What you submit
- A cleaned analytical table with a documented schema
- A data-quality memo listing every decision and its rationale
- The script that reproduces your output from the raw file
How to participate
- Register free: create your account and tell us a little about yourself.
- Download the raw file and the brief.
- Clean it, document it, and make it reproducible.
- Submit from your dashboard and get written feedback within a week.
How it’s judged
- Reproducibility
- Honesty of the memo
- Correct handling of nulls and duplicates
What you walk away with
Feedback for every entry · Top 3 win up to 50% off a flagship seat
Resources
Everything you need, in one zipThe dataset, the full brief and the guides for this challenge.Register free to unlock