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Historical Kaggle Grandmaster Data
Data Science and Analytics
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About
This dataset provides a snapshot from 2021, listing Kaggle Grandmasters along with their individual tiers across various categories and their respective countries. It offers an insight into the elite data science community on Kaggle at that specific point in time. Please note that this dataset does not include Grandmasters who have transitioned to become Kaggle staff. For an up-to-date list, users should refer to the daily updated Kaggle Grandmasters dataset.
Columns
- UserName: Identifies the user names of Kaggle Grandmasters. This column has 312 unique values and is 100% valid with no missing entries.
- Comp_Tier: Details the competition tier achieved by the Grandmaster. The most common tier is 'grandmaster' (77%), with 4 unique tier values, 100% valid, and no missing data.
- Dset_Tier: Indicates the datasets tier of the Grandmaster. 'contributor' is the most common tier (75%), with 4 unique values, 100% valid, and no missing data.
- Note_Tier: Reflects the notebooks tier of the Grandmaster. 'contributor' is the most common (54%), featuring 4 unique values, 100% valid, and no missing data.
- Disc_Tier: Shows the discussions tier of the Grandmaster. 'expert' is the most frequent (40%), with 4 unique values, 100% valid, and no missing data.
- Country: Specifies the country of residence for each Grandmaster. The United States is the most common (22%), with 46 unique countries represented, 100% valid, and no missing data.
- GM_tier_count: Provides a count related to tiers. The mean value is 1.15, with a standard deviation of 0.5. Quantiles range from a minimum of 0 to a maximum of 4, with 25%, 50%, and 75% all at 1. This column is 100% valid with no missing entries.
Distribution
The dataset is provided as a CSV file named
GM_individual_Tiers.csv, with a file size of 20.4 kB. It comprises 7 distinct columns and contains 312 records, as indicated by the valid count across all columns.Usage
This dataset is ideal for:
- Academic Research: Studying trends and demographics within the competitive data science landscape.
- Talent Analysis: Identifying geographical distribution and tier-based profiles of elite data science professionals.
- Community Insights: Understanding the breakdown of contributions (competitions, datasets, notebooks, discussions) among Kaggle Grandmasters.
- Historical Analysis: Benchmarking the state of Kaggle Grandmaster ranks in 2021.
Coverage
The dataset's scope is global, encompassing Grandmasters from 46 different countries, with the United States being the most represented. It provides a fixed snapshot of Kaggle Grandmasters as of 2021. Demographically, it focuses exclusively on Grandmasters and explicitly excludes those who have become Kaggle staff.
License
CC0: Public Domain
Who Can Use It
- Data scientists and analysts: For understanding the Kaggle ecosystem and top performers.
- Researchers: Studying the demographics and performance of elite data science practitioners.
- Organisations and recruiters: For talent scouting and market analysis in the data science field.
- Aspiring Kaggle users: To gain insights into the profiles of Grandmasters.
Dataset Name Suggestions
- Kaggle Grandmasters 2021 Profiles
- 2021 Kaggle Elite Ranks
- Global Kaggle Grandmaster Snapshot
- Kaggle GM Tiers and Countries (2021)
- Historical Kaggle Grandmaster Data
Attributes
Original Data Source: Historical Kaggle Grandmaster Data
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