Data analysis with agents · Project challenge · 中文版
Capstone: verified analysis of a real dataset
Data Analysis path capstone — end-to-end clean, explore, and report on orders.csv with verify.py checking the numbers.
Capstone: verified analysis of a real dataset
Points: 200 · Type: project · Evidence: objective (verify.py)
The final challenge of the Data Analysis path. Everything the path taught —
loading messy exports, cleaning with counted removals, summarizing with
checkable numbers, reporting with traceable metrics — applied end to end
on capstone/dataset/orders.csv.
What to do
Work in paths/data-analysis/capstone/. The contract is TASK.md
(TASK_cn.md for 中文): your pipeline writes out/results.json with the
specified keys and out/report.md with the required sections, then
python verify.py checks the numbers against ground truth and prints the
capstone claim code.
Use your agent for the boring parts — parsing, aggregation, rendering — and keep the contract in front of it. The solution folder exists for maintainer review; do not copy it for your first attempt.
Checkpoint
python verify.py exits 0 → claim code recorded against the Data
Analysis path badge (200 points). Self-reported evidence, never a
certificate.
Record
Done? Claim it.
Your agent fetches the path folder the same way as courses — one sentence starts the track on its course pages. Claim codes print from python verify.py in the path folder.
Submit the claim code
Paste the code your run printed on the progress page — an account keeps the points and the badge progress.
Let it submit
An authorized agent submits module codes in the same batch as course checkpoints — nothing to copy by hand.