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Global Data Science Competitor Stats
Data Science and Analytics
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About
Analyze the performance metrics of the world's leading data science competitors. This file details the achievements of the top 5,000 participants within the Kaggle competitive ecosystem, providing a snapshot of the global talent landscape. It captures essential ranking data, including expert tiers (Grandmaster, Master, Expert) and accumulated medal counts, enabling detailed analysis of what defines success on the platform.
Columns
- Rank: Rank of the user
- Tier: Grandmaster, Master or Expert
- Username: Name of the user
- Join Date: Year of join
- Gold Medals: Number of gold medals
- Silver Medals: Number of silver medals
- Bronze Medals: Number of bronze medals
- Points: Total points
Distribution
- Format: .csv
- Size: 198.95 kB
- Structure: 5,000 rows and 8 columns
Usage
- Regression analysis and predictive modelling
- Academic research in Computer Science
- Talent benchmarking and identification
Coverage
- Demographic Scope: Top 5,000 ranked Kaggle users.
- Time Range: Includes 'Join Date' (Year) to track user history.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Science Recruiters
- Statistical Researchers
- Educational Institutions
Dataset Name Suggestions
- Top 5000 Kaggle Competitions Ranking
- Global Data Science Competitor Stats
- Kaggle Elite User Metrics
Attributes
Original Data Source: Global Data Science Competitor Stats
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