🔍 Data Quality Detective
Hunt for errors in realistic M&E datasets and master data quality assurance techniques
🎯 Your Mission: You're the data quality officer reviewing freshly collected M&E data. Click on any cell you suspect contains an error to flag it. You'll get immediate feedback on whether you correctly identified the issue and learn proper detection and correction procedures. Your goal is to find all errors with high accuracy!
Choose Your Dataset Challenge
Maternal Health Survey
Baseline data from 30 health facilities
Dataset: ANC visits, delivery outcomes, facility capacity
Error Types:
Missing Values Outliers Logic Errors Format Issues
School Performance Data
Student assessment results from 25 schools
Dataset: Test scores, attendance, teacher ratios
Error Types:
Incomplete Data Impossible Values Inconsistencies Data Entry Errors
Farm Household Survey
Agricultural data from 40 farming households
Dataset: Crop yields, income, land size, input use
Error Types:
Missing Responses Extreme Values Cross-Field Errors Unit Mismatches
Total Errors
0
Errors Found
0
False Flags
0
Accuracy
0%
🎮 How to Play
1
Review the data table carefully
2
Click any cell you think contains an error
3
Get instant feedback and learn correction procedures
4
Find all errors to complete the challenge!