2 · Graded exercise

Time to find out what stuck. Six questions, rising difficulty, about the EU Media Habits dataset. The notebook checks each answer instantly and keeps score — and every question has a hint function if you’re stuck.

Rules of engagement:

1. Write real code — don’t guess numbers by eye from earlier outputs.
2. Use hint_qN() before giving up. Struggling productively is the exercise.
3. Run datalab_score() at the end to see your total.

Question 6 is the one most analysts skip: checking whether a group’s number is solid enough to publish. A short written reflection at the end goes into your DataLab portfolio.

The notebook above runs entirely in your browser — nothing is installed and nothing leaves your device. Your changes are kept in this browser. First load takes a few seconds while Python starts.

Open it full-screen ↗↺ Reset this notebook

Scored 6/6?

Congratulations — that was a genuine exploratory analysis, done unaided. Continue to Track 3 — train your first classifier.

Note: this self-check is for learning. Assessment that counts toward a EURIDICE microcredential runs through partner institutions — see Earning a microcredential.