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Billion-Plus YouTube Music Hits
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About
This dataset features a curated collection of music videos that have achieved over one billion views on YouTube, forming an exclusive "Billion Boys Club". With only 315 such videos globally, representing an incredibly tiny fraction of all uploaded content, this dataset highlights exceptional popularity. It offers insights into the most beloved music worldwide and can be a valuable resource for understanding engagement trends and the cultural impact of music. The context for this data includes the known benefits of music therapy for mental health, where music serves as a medium for emotional processing and regulation.
Columns
The dataset contains 18 features (columns) providing detailed information about each music video:
- Tittle (Song Name): The name of the music track.
- Artist (Stage Name): The stage name of the primary artist.
- Featuring (Featuring Artist): The name of any featured artist, if applicable.
- Views (No. of Views): The total number of views the video has accumulated.
- Likes (No. of Likes): The total number of likes the video has received.
- Comments (No. of Comments): The total number of comments on the video.
- Category ID: An identifier for the video's category, with more information available in a separate categories file.
- VideoDuration: The length of the music video in seconds.
- Published At: The date and time when the video was uploaded or published.
- Channel Name: The name of the YouTube channel that uploaded the video.
- Tags: Keywords or tags associated with the music video to aid discoverability.
- Default Audio Language: The language of the default subtitles for the video.
- ThumbURL: The URL leading to the video's thumbnail image.
- Channel-ID: The unique identifier for the YouTube channel.
- Video-ID: The unique identifier for the music video on YouTube.
- Video-URL: The direct URL to the music video on the internet.
- Unnamed: 0: An index column.
- Country: The country of origin for the music video or artist.
Distribution
The dataset is provided in CSV format (
1B-YouTube.csv) and has a file size of 174.15 kB. It contains 315 records (rows), each representing a music video with over one billion views. While most columns are complete, some, such as 'featuring' and 'Country', have missing values, with 'featuring' being largely absent.Usage
This dataset is ideal for various analytical purposes, including:
- Music Industry Analysis: Identifying characteristics of highly successful music videos and artists.
- Audience Engagement Studies: Analysing the relationship between video length, publication time, and viewer engagement (views, likes, comments).
- Content Strategy: Determining optimal strategies for publishing new music videos on platforms like YouTube.
- Trend Forecasting: Understanding long-term trends in music consumption and popularity.
- Academic Research: Supporting studies on digital media, cultural trends, or the impact of music.
- Data Analytics and Feature Engineering: Serving as a rich source for building models related to video virality and audience behaviour.
Coverage
The dataset covers music videos from around the world that have achieved over one billion views. The time range for video publication spans from 5th March 2007 to 17th February 2021. Geographically, the data includes videos originating from 37 unique countries, with a significant portion from the United States. Future updates are planned to expand country and continent of origin details, including specific mentions of India, the UK, Canada, Asia, Europe, and Africa.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For conducting data analytics, time series analysis, and feature engineering to uncover trends.
- Music Labels and Artists: To gain insights into what makes a music video perform exceptionally well.
- Marketing and Social Media Strategists: For understanding audience engagement patterns and optimising content release schedules.
- Researchers: Academics studying digital culture, media consumption, or the global impact of music.
- Developers: Those looking to build applications or visualisations based on viral video data.
Dataset Name Suggestions
- YouTube Billion Views Music Videos
- Global Viral Music Videos Dataset
- Billion-Plus YouTube Music Hits
- The Billion-View Music Club
Attributes
Original Data Source: Billion-Plus YouTube Music Hits
QUALITY