Dataset Cleaning Competition

Race against time, repair messy records, preserve useful data, and prove your cleaning strategy produces the most accurate, reliable dataset under pressure every round.

Competition Setup

Choose a mode, difficulty, theme, and resource limit.

seconds
¢
Time left
05:00
Actions left
35
Budget left
¢180
Quality
0%
Retention
100%
Score
0

Canvas Competition Arena

Watch contamination, quality, rival progress, and record health update live.

Issues 0 Rival 0% Streak 0

Cleaning Toolbox

Select rows or columns, then apply a tool.


Dataset Workbench

Click headers to select columns. Click row numbers to select records. Double-click cells to edit.

Selected rows: 0 Selected columns: 0
Keyboard: Ctrl + Z undo · Ctrl + Y redo

Live Quality Dashboard

Plotly charts compare errors, quality dimensions, score progression, and competitor performance.

Cleaning Log

Start a competition to record cleaning decisions.

Progress, Rewards, and Leaderboard

XP
0
Level
1
Best
0
Overall dataset health0%
Rookie Cleaner
RankPlayerScoreQuality

How to Play

1. Inspect

Review issue markers, distributions, ranges, categories, and duplicates. Rare values are not always errors.

2. Clean

Apply focused tools. Preserve useful rows. Every action consumes time, actions, or budget.

3. Validate

Submit when quality is high. Your score balances correctness, retention, consistency, efficiency, speed, and reproducibility.


Dataset Cleaner