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Kaggle Medal and Points Analysis
Data Science and Analytics
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About
This resource provides detailed user rankings from the Kaggle ML and Data Science Community competitions. It includes metrics designed specifically to allow analysis of how competition authors are ranked and how their performance relates to long-term community participation. The material is key for studying user achievements, points accumulation, and medal acquisition within the platform.
Columns
The material features eight columns detailing participant metrics:
- Rank: The calculated rank of the participant in the competition, ranging from 1 to 1060.
- Points: The total points collected by the user, with values spanning from 8.61 thousand up to 218 thousand.
- User link for details: A unique URL link leading to the kaggler's specific profile information.
- Leaderboard name: The name displayed on the leaderboard, with 1058 unique entries.
- Joining year: An indicator of the time spent on the platform, categorised (e.g., 5 years ago, which is the most frequent category at 19%).
- Gold medal count: The number of gold medals achieved by the participant, with a maximum recorded value of 60.
- Silver medal count: The number of silver medals achieved, with a maximum recorded value of 59.
- Bronze medal count: The number of bronze medals achieved, with a maximum recorded value of 48.
Distribution
The data is structured as a CSV file, named
kaggle_competiton-rank.csv, and is small in size at 80.19 kB. It contains 1060 records in total. The structural integrity is high, with all eight columns showing 100% validity and no missing or mismatched values. It should be noted that the records are not arranged in serial order.Usage
This resource is ideally suited for projects focused on data science community analysis, skill benchmarking, and developing methodologies for computing competition author rankings. It supports statistical modelling of user performance and the distribution of awards.
Coverage
The material covers the rankings of users within the Kaggle ML and Data Science community. The scope includes 1060 ranked participants, providing detailed metrics on their accumulated points, tenure, and medal totals across gold, silver, and bronze categories.
License
CC0: Public Domain
Who Can Use It
The material is intended for data scientists, academic researchers studying online communities, and analysts interested in quantifying talent distribution in machine learning and data science. The usability of the dataset is rated as 10.00. The data is expected to be updated annually.
Dataset Name Suggestions
- Kaggle Competition User Rankings
- ML Community Author Performance Metrics
- Kaggle Medal and Points Analysis
Attributes
Original Data Source: Kaggle Medal and Points Analysis
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