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YouTube Influencer Performance Dataset
Social Media and Posts
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Free
About
This dataset provides a detailed analysis of the top 200 YouTube influencers, offering insights into their channels, content, and engagement metrics. YouTube, a prominent online video-sharing and social media platform launched in 2005, serves as a significant medium for influencing, educating, and engaging with users globally. This cleaned dataset is designed for in-depth analysis of these key influencers and their impact.
Columns
- Country: The country of origin for the channel, including codes such as 'IN', 'US', 'KR', 'CA', 'BR', 'MX', 'SV', 'CL', 'NO', 'PR', 'BY', 'RU', 'PH', 'TH', 'AE', 'CO', 'ES', 'GB', 'AR', 'ID', 'NL', 'IE', 'PK', 'AU', 'KW', 'SO'. The most common is US (32%), followed by IN (25%).
- Channel Name: The name of the YouTube channel. T-Series is one of the most common channel names.
- Category: The primary content category of the channel, such as 'Gaming & Apps' (46% most common), 'Sports', 'Music' (25%), 'Beauty & Fashion', 'Science & Tech', 'Fashion', and 'LifeStyle'.
- Main Video Category: The main content type of the videos, including 'Music' (37% most common), 'Education', 'Shows', 'Gaming', 'Entertainment' (24%), 'People & Blogs', 'Sports', 'Howto & Style', 'Film & Animation', 'News & Politics', 'Pop music', 'Comedy', 'Nonprofits & Activism', 'Action-adventure game', and 'Strategy video game'.
- Username: The username associated with the YouTube channel.
- Followers: The total number of followers (subscribers) the channel has, with a mean of 49.5 million and a maximum of 220 million.
- Main Topic: The predominant topic discussed on the channel, with 'Music' (20% most common) and 'Entertainment' (16%) being frequent.
- More topics: Additional topics covered by the channel beyond the main topic.
- Likes: The total number of likes across the channel's content, with a mean of 233 million and a maximum of 2.19 billion.
- Boost Index: A calculated value indicating the channel's boost index, ranging from 1 to 88, with a mean of 67.4.
- Engagement Rate: The rate of user engagement with the channel's content, with a mean of 0.35 and a maximum of 10.6.
- Engagement Rate 60days: The engagement rate specifically over a 60-day period, with a mean of 0.07.
- Views: The total views accumulated by the channel, with a mean of 27.1 billion and a maximum of 196 billion.
- Views Avg.: The average views per video, with a mean of 16.2 million and a maximum of 424 million.
- Avg. 1 Day: Average views generated per day, with a mean of 184k.
- Avg. 3 Day: Average views generated over a three-day period, with a mean of 572k.
- Avg. 7 Day: Average views generated over a seven-day period, with a mean of 1.39 million.
- Avg. 14 Day: Average views generated over a fourteen-day period, with a mean of 2.4 million.
- Avg. 30 day: Average views generated over a thirty-day period, with a mean of 2.97 million.
- Avg. 60 day: Average views generated over a sixty-day period, with a mean of 3.46 million.
- Comments Avg: The average number of comments per video, with a mean of 15.5k and a maximum of 200k.
- Youtube Link: The unique identifier for the YouTube channel, forming part of its URL.
Distribution
The dataset is provided as a single CSV file, named
top_200_youtubers.csv, with a file size of 256.1 kB. It consists of 22 distinct columns, detailing various metrics and attributes for each influencer. The exact number of rows or records is not explicitly stated, but it represents data for the top 200 YouTubers.Usage
This dataset is ideal for analysing data of top YouTube influencers. It can be utilised for understanding social media influence, market trend analysis, content strategy development, and audience behaviour studies. Researchers, marketers, data scientists, and content creators can leverage this data to gain insights into what drives engagement and success on the YouTube platform.
Coverage
The dataset focuses on the top 200 YouTube influencers globally, with a significant presence from the US (32%) and India (25%), alongside numerous other countries. The data covers various content categories and main video topics. A specific time range for the collected data is not explicitly provided beyond general platform statistics from May 2019 regarding content upload rates.
License
CC0: Public Domain
Who Can Use It
- Marketers and Advertisers: To identify influential channels for collaborations or targeted campaigns.
- Researchers and Academics: For studies on social media dynamics, influencer marketing, and digital content consumption.
- Content Creators: To benchmark their performance and identify successful content strategies.
- Data Scientists and Analysts: For conducting exploratory data analysis, data cleaning exercises, and developing predictive models related to channel growth and engagement.
- Businesses: To understand how YouTube influencers impact public perception and drive consumer behaviour.
Dataset Name Suggestions
- Global YouTube Influencers Metrics
- Top YouTube Channels Data
- YouTube Influencer Performance Dataset
- Leading YouTube Creators Analytics
- YouTube Channel Engagement Data
Attributes
Original Data Source: YouTube Influencer Performance Dataset
QUALITY