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YouTube Trending Videos Analytics
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About
This dataset captures trending videos on YouTube, offering insights into what is currently popular and widely viewed across the platform and globally. The Trending feature on YouTube is designed to highlight videos and shorts that a broad audience would find engaging, encompassing both predictable trends, such as new music releases or movie trailers, and surprising viral content. This non-personalised feed displays the same list of trending videos to all viewers within a given country. Notably, for India, the Trending list is available in nine of the most common Indic languages.
Columns
- Position (Integer): An index column indicating the position of the channel on YouTube.
- Channel Id (String): The unique identifier for the YouTube channel.
- Channel Title (String): The title of the YouTube channel.
- Video Id (String): The unique identifier for the video on YouTube.
- Published At (String): The date when the video was published.
- Video Title (String): The title of the video.
- Video Description (String): A description of the video content.
- Video Category Id (Integer): The numerical identifier for the video's category on YouTube.
- Video Category Label (String): The descriptive label for the video's category.
- Duration (String): The duration of the video in ISO 8601 format (e.g., PT9M41S).
- Duration Sec (Integer): The duration of the video in seconds.
- Dimension (String): The dimension of the video (e.g., 2D, HD).
- Definition (String): The video definition (e.g., hd, sd).
- Caption (Boolean): Indicates whether captions are available for the video (True or False).
- Licensed Content (Float): Information about licensed content.
- View Count (Integer): The total number of times the video has been viewed.
- Like Count (Float): The number of likes the video has received.
- Dislike Count (Float): The number of dislikes the video has received.
- Favorite Count (Integer): The number of times the video has been marked as a favourite.
- Comment Count (Float): The number of comments posted on the video.
Distribution
The dataset is provided as a CSV file, named
youtube trending videos dataset.csv, with a file size of 72.73 kB. It contains 17 columns detailing various aspects of YouTube videos. The dataset includes 115 records for most columns, such as 'Position', 'Channel Id', and 'View Count'. Some columns, including 'Video Description', 'Like Count', 'Dislike Count', and 'Comment Count', contain a small number of missing values. For instance, 'Video Description' has 6 missing entries, while 'Like Count' and 'Dislike Count' each have 4 missing entries.Usage
This dataset is ideal for analysing YouTube trends, understanding the characteristics of popular video content, and exploring viewer engagement patterns. It can be utilised for:
- Identifying viral video characteristics.
- Tracking changes in trending content over time.
- Analysing audience preferences and interactions.
- Developing predictive models for video popularity.
- Performing data visualisations to illustrate trends.
- Practising data cleaning and categorical data analysis techniques.
Coverage
The dataset's coverage is global, as YouTube's Trending feature aims to reflect trends worldwide, with a specific implementation in India where results are displayed in nine Indic languages. The time range for video publication dates within this dataset spans from 30 March 2007 to 4 June 2016. While specific demographic details are not provided, the Trending feature is designed to appeal to "a wide range of viewers".
License
CC0: Public Domain
Who Can Use It
- Researchers interested in online video consumption and social media trends.
- Content creators seeking insights into what makes videos go viral and how to increase audience engagement.
- Digital marketers aiming to understand YouTube audience behaviour and content strategies.
- Data analysts and scientists for practicing data manipulation, visualisation, and machine learning on real-world social media data.
- Students learning about data analysis and digital platform dynamics.
Dataset Name Suggestions
- YouTube Trending Videos Analytics
- Global YouTube Viral Content
- YouTube Engagement Metrics Dataset
- Video Trend Analysis Data
- YouTube Popularity Data
Attributes
Original Data Source: YouTube Trending Videos Analytics
QUALITY