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Kaggle Platform Daily Trend Metrics
Data Science and Analytics
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About
Provides detailed metrics and metadata for datasets that have been trending daily on the Kaggle platform. This resource offers insight into popularity and engagement within the data science community, allowing for analysis of dataset quality, public interest, and author impact. Data is expected to be updated daily, reflecting immediate changes in platform trends.
Columns
- title: The specific title assigned to the dataset. There are 3001 unique titles recorded.
- author: Identifies the creator or maintainer of the dataset. There are 1392 unique author entities.
- dataset_created: The recorded date the dataset was initially published. There are 58 unique creation dates noted.
- file_details: Provides specific information about the file structure, often including size and file type (e.g., CSV). Approximately 32% of records are missing this detail.
- usability_score: A rating given to assess the dataset’s ease of use and documentation quality. Scores range from 6.2 to 10.0, with an average score of 8.69.
- votes: The total number of votes the dataset has received from users. Counts range from 2 to 20 votes, with an average of 7.05.
- medal: Indicates if the dataset has achieved medal status (e.g., Bronze). Approximately 73% of the records lack a medal designation.
Distribution
The dataset is typically structured in CSV format, ready for tabular analysis. The file, named
KaggleTrending.csv, measures 2.16 MB in size. It contains 7 distinct columns of information. While specific row counts fluctuate, records consistently validate across key fields, with approximately 25,900 entries for most attributes. This data product is anticipated to be updated on a daily basis.Usage
This data is ideal for performing temporal analysis on dataset popularity and platform dynamics. It can be used to track changes in trending topics within data science over time and to correlate metadata (like usability score and file details) with user engagement (votes). It is also suitable for researchers studying the dynamics of artificial intelligence and computer science education resources.
Coverage
The data covers trends spanning from 28 August 2022 through to 4 March 2023. The scope is Global, focused on activity and metrics generated on the Kaggle online platform.
License
CC0: Public Domain
Who Can Use It
- Data Market Analysts: To understand supply and demand trends for different types of datasets.
- Platform Administrators: To monitor activity, quality metrics, and high-performing authors.
- Academic Researchers: To study trends in computer science or artificial intelligence education and resource popularity.
- Content Creators/Authors: To identify successful characteristics and engagement strategies for new data uploads.
Dataset Name Suggestions
- Kaggle Platform Daily Trend Metrics
- Trending Datasets Analysis (2022-2023)
- Global Data Science Resource Tracker
Attributes
Original Data Source: Kaggle Platform Daily Trend Metrics
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