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Competitive Data Science User Ranks
Data Science and Analytics
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About
Provides current Kaggle ranking metrics for individual users, offering insight into their competitive performance and standing within the community. The data enables detailed analysis of user tiers, medal counts, and accumulated total points. It serves as a foundational resource for studying competitive data science participation and tracking user progression.
Columns
- Rank: Indicates the numerical ranking position of the user.
- Tier: Defines the status level achieved by the user (e.g., Grandmaster, Master, or Expert).
- Username: The identifying name associated with the user account.
- Join Date: The specific year in which the user joined the platform.
- Gold Medals: The tally of gold medals earned by the user.
- Silver Medals: The tally of silver medals earned by the user.
- Bronze Medals: The tally of bronze medals earned by the user.
- Points: The overall total points accumulated by the user.
Distribution
The data set contains over 800 rows and is structured across 8 distinct columns. The resource is available as a CSV file, specifically named
Kaggle Datasets Ranking.csv (33.33 kB).Usage
Ideal applications include developing models for predicting user advancement or future success on the platform. It is suitable for statistical analysis focusing on competitive tiers and medal distributions. The data can also be used by researchers to track user engagement trends over time.
Coverage
The scope is focused entirely on user performance metrics tracked by the competitive data science platform. It captures information related to user status, total points, and medals. Updates to the information are expected to occur annually.
License
Attribution 4.0 International (CC BY 4.0).
Who Can Use It
- Data Scientists: For conducting regression or classification challenges related to skill prediction.
- Researchers: To investigate the structure and growth of competitive communities.
- Platform Analysts: To monitor user activity, measure success, and observe ranking dynamics.
Dataset Name Suggestions
- Kaggle User Leaderboard Metrics
- Competitive Data Science User Ranks
- Kaggle Datasets Ranking (User Performance)
Attributes
Original Data Source: Competitive Data Science User Ranks
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