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YouTube Video Performance Analytics
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About
Provides analytics data scraped directly from YouTube videos. This collection captures crucial engagement metrics, including total views, likes, dislikes, and accompanying comments for specific videos. The data set is highly valuable for understanding current video popularity trends, analysing viewer interaction patterns, and benchmarking content performance across the platform.
Columns
The data file includes eight features detailing video information and performance metrics:
- url: The specific URL linking to the YouTube video.
- Timestamp: The exact date and time (in IST) when the video analytics data was retrieved.
- Title: The title assigned to the video on YouTube.
- views: The total count of views recorded on the video up to the timestamp of collection.
- Likes: The overall number of 'likes' recorded for the video.
- Dislikes: The overall number of 'dislikes' recorded for the video.
- Comments: A string containing usernames and the text of comments made on the video, separated by ' || '.
- Uploaded Date: The date on which the video was originally uploaded to YouTube.
Distribution
The data is structured for ease of use, usually provided in a CSV file format, and the sample provided is 10.71 MB. It typically contains around 515 records/rows, corresponding to individual videos. While generally robust, a small percentage of records show minor missing values; for instance, approximately 1% of titles and 5% of comments might be absent or null.
Usage
Ideal applications include detailed analysis of viewer engagement and content success drivers. Researchers can use it for studying platform dynamics and identifying trending content themes. It is also suitable for performing sentiment analysis based on the collected comments data, or for developers testing data extraction and cleaning methodologies.
Coverage
The scope covers video analytics data scrapped directly from YouTube. The temporal coverage is specified by the
Timestamp feature, indicating the moment of data fetching. There are no explicit geographic or demographic limits detailed, as the data focuses on the video-level metrics collected using the external scraping script.License
CC0: Public Domain.
Who Can Use It
This data is suitable for researchers focused on digital media studies, data scientists modeling social video popularity, marketing analysts benchmarking video campaigns, and developers seeking real-world, structured analytics data for application development.
Dataset Name Suggestions
- YouTube Video Performance Analytics
- Scraped Video Engagement Metrics
- YouTube Content Dynamics Data
- Video Analytics and Comments
Attributes
Original Data Source: YouTube Video Performance Analytics
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