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Global Notebook Ranking Achievement Data

Data Science and Analytics

Tags and Keywords

Kaggle

Ranking

Medals

Points

Users

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Global Notebook Ranking Achievement Data Dataset on Opendatabay data marketplace

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Free

About

This resource details the performance metrics and achievement tiers for users featured in the top 3,000 Kaggle Notebooks Ranking. The data provides crucial insights into the success factors on the platform, including accrued points, medal counts across gold, silver, and bronze tiers, and the official classification level (e.g., Grandmaster, Master, or Expert) achieved by each profiled user.

Columns

  • Rank: The numerical position achieved by the user in the ranking.
  • Tier: The specified achievement level attained by the user (e.g., Grandmaster, Master or Expert).
  • Username: The unique name identifier for the user.
  • Join Date: The year in which the user joined the platform.
  • Gold Medals: The recorded number of gold medals earned.
  • Silver Medals: The recorded number of silver medals earned.
  • Bronze Medals: The recorded number of bronze medals earned.
  • Points: The total tally of points accumulated.

Distribution

The structure includes over 3,000 records, organised into 8 distinct columns. The data is available in a structured file format, typically CSV, and the file size is approximately 1121.48 kB. It is intended for potential updates on an annual basis.

Usage

This data is ideally suited for academic research into competitive data science environments and the mechanics of online ranking systems. It can be utilised for benchmarking analysis to compare the performance attributes of top-ranked participants. Furthermore, it allows for the development of predictive models related to user progression and achievement tier transitions.

Coverage

The scope is focused strictly on the ranking results for the top 3,000 notebooks on the Kaggle platform. The coverage includes current user achievement tiers and their historical medal counts.

License

Attribution 4.0 International (CC BY 4.0)

Who Can Use It

  • Machine Learning Engineers: For constructing feature sets related to user prestige and historical performance.
  • Recruiters and Hiring Professionals: To identify and evaluate high-performing individuals in the data science field based on quantifiable achievements.
  • Platform Strategists: To analyse the impact of medal and point systems on user engagement.

Dataset Name Suggestions

  1. Kaggle Notebook Leaderboard Metrics
  2. Top Data Scientist Performance Ranks
  3. Global Notebook Ranking Achievement Data

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

29/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format