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Kaggle Reward and Participation Data
Data Science and Analytics
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About
Information detailing the structure, participation levels, and rewards associated with Kaggle competitions. The data offers valuable insights for understanding the mechanics of competitions available on the platform, covering key attributes like categories, deadlines, and the size of associated datasets. This resource is excellent for analysing trends in how online data science challenges are structured and utilised.
Columns
- ref: The unique identifier or slug for the competition, typically used in the competition's URL.
- deadline: The closing date and time specified for submitting solutions.
- category: The classification assigned to the competition, such as Featured or Research.
- reward: Details of the prize, which may be monetary (in dollar amounts) or knowledge-based.
- teamCount: The total quantity of participating teams registered for the competition.
- num_files: The number of separate files included within the competition's dataset.
- dataset_size: The measurement of the competition's dataset size, usually expressed in MB.
Distribution
The information is delivered in a tabular format, primarily contained within files such as
kaggle_competitions.csv, which has a size of approximately 41.85 kB. The data provides details on 531 individual entries/records. The statistical properties include metrics like a mean team count of 1.03k and dataset sizes ranging up to 159k MB. The data is static; no further updates are expected.Usage
- Performing exploratory data analysis (EDA) on machine learning competition structures.
- Analysing the relationship between competition rewards and team participation numbers.
- Identifying trending competition categories (e.g., Featured versus Research).
- Studying data distribution characteristics, such as dataset size and file count patterns, across different types of challenges.
Coverage
The data focuses solely on competitions hosted on the Kaggle platform. The scope reflects the state of the competition page at the time the data was collected. There are no geographical or specific demographic limitations, as the subject is digital competition metadata.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: To benchmark their participation interest against historical metrics.
- Beginner Analysts: For practical experience performing exploratory data analysis on real-world platform data.
- Platform Researchers: To study engagement, reward incentives, and competition structure evolution.
Dataset Name Suggestions
- Kaggle Competition Performance Metrics
- Platform Challenge Structure Analysis
- Data Science Competition Snapshot
- Kaggle Reward and Participation Data
Attributes
Original Data Source: Kaggle Reward and Participation Data
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