Analysis of Top Trending Kaggle Datasets
Data Science and Analytics
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
Gain insights into the factors that drive dataset popularity and engagement on Kaggle. This data provides a window into the data-driven world, showing what topics and domains captivate the community. By exploring this information, you can analyse the trends and preferences that lead to higher upvote counts and uncover why some datasets receive more attention than others.
Columns
- title: The title of the dataset as listed on Kaggle.
- Usability_index: The usability score assigned to a given dataset.
- up_vote: The total number of upvotes a dataset has received.
- author: The name of the person or entity who published the dataset.
- Updation_timeline: The recency of the last update to the dataset.
Distribution
The data is provided in a single CSV file named 'CleanedKaggleDataSets.csv', with a size of 800.24 kB. It is structured with 5 columns.
Usage
This data is ideal for exploring what makes a dataset popular on Kaggle. It can be used for data analytics and visualisation to uncover trends in community engagement. Data scientists can use it for exploratory data analysis and text pre-processing to understand the characteristics of highly-rated datasets.
Coverage
The data covers a wide range of datasets present on Kaggle. It is not limited to a specific geographic region or time period, but rather reflects the content available on the Kaggle platform up to the point of data collection. The update frequency is noted as monthly.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: To identify trends and patterns in dataset popularity and community preferences.
- Data Scientists: For building predictive models on dataset success or performing exploratory analysis on engagement metrics.
- Kaggle Users: To understand how to create and present datasets that will garner more community interest and upvotes.
- Computer Science Researchers: For studying community dynamics and content engagement on data-sharing platforms.
Dataset Name Suggestions
- Kaggle Dataset Engagement Analysis
- Kaggle Upvote and Popularity Metrics
- Analysis of Top Trending Kaggle Datasets
- Kaggle Community Dataset Preferences
- Dataset Success Factors on Kaggle
Attributes
Original Data Source: Analysis of Top Trending Kaggle Datasets