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CodeChef User Performance and Rankings Dataset
Education & Learning Analytics
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About
Competitive programming metrics and performance data for the top 10,000 users on CodeChef, a non-profit educational platform established by Unacademy. This resource details the achievements of software professionals and students who participate in weekly contests to refine their skills in data structures and algorithms. The data enables the analysis of high-ranking performers, offering insights into activity patterns, rating trajectories, and problem-solving capabilities across a global user base.
Columns
- Global Rank: The user's ranking amongst all programmers on the platform.
- Stars: A rating classification from one to seven, assigned based on the user's performance and changing with each contest attempted.
- Username: The unique identifier for the user on CodeChef.
- Country: The nation associated with the user profile.
- Country Rank: The user's ranking relative to other participants from the same country.
- Rating: The numerical score representing performance based on contest results.
- Highest Rating: The maximum numerical rating the user has achieved to date.
- Fully Solved: The count of problems the user has successfully completed in full.
- Partially Solved: The count of problems the user has managed to solve partially.
- Last Contest: The date on which the user last participated in a contest.
- Institute: The educational institution or organisation affiliated with the user.
Distribution
The dataset is structured as a CSV file containing approximately 9,846 valid records across 11 columns. It captures a snapshot of the top tier of programmers, with data fields including integers for rankings and counts, floating-point numbers for ratings, and text strings for identifiers and locations.
Usage
- Performance Analysis: Identifying patterns that distinguish top-tier programmers from the general user base.
- Recruitment and Sourcing: Screening potential candidates for software engineering roles based on algorithmic proficiency and global standing.
- Educational Research: Studying the learning curves and participation habits of competitive programmers over time.
- Community Insights: Evaluating the geographic distribution and institutional representation of top coding talent.
Coverage
- Geographic: The data is global in scope, covering users from 100 unique countries, with a significant concentration (72%) of users located in India.
- Time Range: The 'Last Contest' field records participation dates ranging from October 2009 to August 2020.
- Demographic: The dataset focuses specifically on the top 10,000 rated programmers on the platform.
License
CC0: Public Domain
Who Can Use It
- Tech Recruiters: To identify and shortlist high-potential candidates with proven problem-solving skills.
- Data Analysts: To visualise trends in competitive programming and user engagement.
- Academic Researchers: To analyse the correlation between practice frequency (contests) and skill acquisition (ratings).
- EdTech Companies: To benchmark user progress and gamification strategies against established platforms.
Dataset Name Suggestions
- CodeChef Top 10k Programmer Ratings and Metrics
- Global Competitive Programming Leaderboard Data
- CodeChef User Performance and Rankings Dataset
- Top Tier Algorithmic Programmer Statistics
Attributes
Original Data Source: CodeChef User Performance and Rankings Dataset
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