This dataset is a daily record of the top trending YouTube videos and it will be updated daily.
YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”.
Note that this dataset is a structurally improved version of this dataset.
This dataset includes several months (and counting) of data on daily trending YouTube videos. Data is included for the IN, US, GB, DE, CA, FR, RU, BR, MX, KR, and JP regions (India, USA, Great Britain, Germany, Canada, France, Russia, Brazil, Mexico, South Korea, and, Japan respectively), with up to 200 listed trending videos per day.
Each region’s data is in a separate file. Data includes the video title, channel title, publish time, tags, views, likes and dislikes, description, and comment count.
The data also includes a category_id field, which varies between regions. To retrieve the categories for a specific video, find it in the associated JSON. One such file is included for each of the 11 regions in the dataset.
For more information on specific columns in the dataset refer to the column metadata.
This dataset was collected using the YouTube API.
This dataset is the updated version of Trending YouTube Video Statistics.
Data Type
Multivariate
Default Task
Classification, Regression, Clustering
Attribute Type
Real
Published Year
2021
Area of Dataset
Youtubes
Missing Values
No
No. of Instances
1000
No. of Attributes
176
| Data Type | Multivariate | Default Task | Classification, Regression, Clustering |
|---|---|---|---|
| Attribute Type | Real | Published Year | 2021 |
| Area of Dataset | Youtubes | Missing Values | No |
| No. of Instances | 1000 | No. of Attributes | 176 |
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