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Elite Data Scientists Performance Data
Data Science and Analytics
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About
Rankings and performance metrics of the top 100 users in Kaggle competitions are captured in this dataset, offering a snapshot of the platform's leading data scientists. The records provide detailed statistics regarding user achievements, including medal counts across gold, silver, and bronze categories, as well as their total competition participation. Updated on a monthly basis, this file facilitates the analysis of elite performance trends within the data science community.
Columns
- User: Name of the Kaggle user.
- Tier: Classification of the user, such as Grandmaster, Master, or Expert.
- Company/School: Professional or educational affiliation of the user, where available.
- Country: Nation of residence or origin of the user, where available.
- Competitions_Num: Total number of competitions the user has joined.
- Competitions_Gold: Count of gold medals won in competitions.
- Competitions_Silver: Count of silver medals won in competitions.
- Competitions_Bronze: Count of bronze medals won in competitions.
- Datasets_Num: Quantity of public datasets published by the user.
- Notebooks_Num: Quantity of public notebooks published.
- Discussions_Num: Total number of topics or comments posted in discussions.
- Points: Total Kaggle points accumulated.
- Profile: URL link to the user's Kaggle profile.
Distribution
The data is structured as a CSV file containing 100 rows and 13 columns. It represents a single monthly snapshot (e.g., April 2022) of the top 100 leaderboard.
Usage
- Talent Recruitment: Identifying top-tier data science talent based on specific medal counts or tiers.
- Performance Benchmarking: Analysing the distribution of medals and points among the top 100 users to set performance goals.
- Geospatial Analysis: Mapping the location of top Kaggle users to understand the global distribution of data science expertise.
- Correlation Studies: Investigating relationships between employment (Company/School) and competition ranking.
Coverage
The dataset covers a global demographic of the top 100 ranked users on Kaggle. It includes geographic information (Country) and institutional affiliations (Company/School) when provided by the user. The data represents a monthly update cycle.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Recruiters: To source high-level candidates for data science roles.
- Data Science Enthusiasts: To study the profiles and portfolios of Grandmasters and Masters.
- Educational Institutions: To analyse industry leaders and competitive standards.
- Tech Journalists: To report on trends within the competitive data science landscape.
Dataset Name Suggestions
- Top 100 Kaggle Users Ranking Statistics
- Kaggle Competition Leaderboard Metrics
- Elite Data Scientists Performance Data
- Monthly Kaggle Top 100 User Stats
Attributes
Original Data Source: Elite Data Scientists Performance Data
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