This dataset provides an in-depth look at YouTube video analytics, capturing key metrics related to video performance, audience engagement, revenue generation, and viewer behavior. Sourced from real video data, it highlights how variables like video duration, upload time, and ad impressions contribute to monetization and audience retention. This dataset is ideal for data analysts, content creators, and marketers aiming to uncover trends in viewer engagement, optimize content strategies, and maximize ad revenue. Inspired by the evolving landscape of digital content, it serves as a resource for understanding the impact of YouTube metrics on channel growth and content reach.

Video Details: Columns like Video Duration, Video Publish Time, Days Since Publish, Day of Week.

Revenue Metrics: Includes Revenue per 1000 Views (USD), Estimated Revenue (USD), Ad Impressions, and various ad revenue sources (e.g., AdSense, DoubleClick).

Engagement Metrics: Metrics such as Views, Likes, Dislikes, Shares, Comments, Average View Duration, Average View Percentage (%), and Video Thumbnail CTR (%).

Audience Data: Data on New Subscribers, Unsubscribes, Unique Viewers, Returning Viewers, and New Viewers.

Monetization & Transaction Metrics: Details on Monetized Playbacks, Playback-Based CPM, YouTube Premium Revenue, and transactions like Orders and Total Sales Volume (USD).

YouTube was created in 2005, with the first video – Me at the Zoo - being uploaded on 23 April 2005. Since then, 1.3 billion people have set up YouTube accounts. In 2018, people watch nearly 5 billion videos each day. People upload 300 hours of video to the site every minute.

According to 2016 research undertaken by Pexeso, music only accounts for 4.3% of YouTube’s content. Yet it makes 11% of the views. Clearly, an awful lot of people watch a comparatively small number of music videos. It should be no surprise, therefore, that the most watched videos of all time on YouTube are predominantly music videos.

On August 13, BTS became the most-viewed artist in YouTube history, accumulating over 26.7 billion views across all their official channels. This count includes all music videos and dance practice videos.

Justin Bieber and Ed Sheeran now hold the records for second and third-highest views, with over 26 billion views each.

Currently, BTS’s most viewed videos are their music videos for “**Boy With Luv**,” “**Dynamite**,” and “**DNA**,” which all have over 1.4 billion views.

Headers of the Dataset Total = Total views (in millions) across all official channels Avg = Current daily average of all videos combined 100M = Number of videos with more than 100 million views

YouTube is an American online video sharing and social media platform headquartered in San Bruno, California. It was launched on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim. It is owned by Google, and is the second most visited website, after Google Search. YouTube has more than 2.5 billion monthly users who collectively watch more than one billion hours of videos each day. As of May 2019, videos were being uploaded at a rate of more than 500 hours of content per minute.

In October 2006, 18 months after posting its first video and 10 months after its official launch, YouTube was bought by Google for $1.65 billion. Google's ownership of YouTube expanded the site's business model, expanding from generating revenue from advertisements alone, to offering paid content such as movies and exclusive content produced by YouTube. It also offers YouTube Premium, a paid subscription option for watching content without ads. YouTube and approved creators participate in Google's AdSense program, which seeks to generate more revenue for both parties. YouTube reported revenue of $19.8 billion in 2020. In 2021, YouTube's annual advertising revenue increased to $28.8 billion.

This dataset consists details on top 1000 influencers all over the world.

Comprehensive YouTube channel statistics for MrBeast, featuring 452,000,000 subscribers and 101,702,564,900 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in US. Track 923 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

YouTube is an American online video sharing and social media platform headquartered in San Bruno, California. It was launched on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim. It is owned by Google, and is the second most visited website, after Google Search. YouTube has more than 2.5 billion monthly users who collectively watch more than one billion hours of videos each day. As of May 2019, videos were being uploaded at a rate of more than 500 hours of content per minute.

Youtube is very much used to influence, educate, free university (for me also) people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

YouTube is an American online video sharing and social media platform headquartered in San Bruno, California. It was launched on February 14, 2005, by Steve Chen, Chad Hurley, and Jawed Karim. It is currently owned by Google, and is the second most visited website, after Google Search. YouTube has more than 2.5 billion monthly users who collectively watch more than one billion hours of videos each day. As of May 2019, videos were being uploaded at a rate of more than 500 hours of content per minute.

Youtube is very much used to influence people (the users followers) in a particular way for a specific issue - which can impact the order in some ways.

Data Dictionary

Dataset Description:

Column1: Video id of 11 characters. Column2: uploader of the video of string data type. Column3: Interval between day of establishment of Youtube and the date of uploading of the video of integer data type. Column4: Category of the video of String data type. Column5: Length of the video of integer data type. Column6: Number of views for the video of integer data type. Column7: Rating on the video of float data type. Column8: Number of ratings given on the video. Column9: Number of comments on the videos in integer data type. Column10: Related video ids with the uploaded video.

💜 Context

This dataset consists of YouTube video and comment metadata for 💜 BTS 💜 related videos in January 2021

BTS has become a global phenomenon as their music, dances, and spirit attracts worldwide fans. YouTube has become one of KPOP's main social media platform for both artists and fans to share their work and enthusiasm. From dance covers to reaction videos, this dataset collects metadata from BTS related videos that were uploaded in January, 2021.

📈 Dataset Description

The videos in this dataset are between January 1st, 2021 and January 30th, 2021. The dataset contains the most-viewed videos uploaded each day that contained the keyword BTS.

🔧 Collection Method

For this project, I developed youcos, a simple Python package for collecting and saving YouTube video and comment data through the YouTube v3 API. Feel free to contribute to the project or use the package to collect your own data!

👍 Acknowledgements

The data was primarily acquired through the YouTube v3 API. You can read their Terms of Service here The BTS Banner was sourced from here

🌱 Inspiration

Here are some possible next steps for this data: - Perform sentiment analysis for the videos and comments, - Compare sentiments for COVID related posts with Twitter, Reddit, and other social media platforms - Predict the number of comments, views, and likes/dislikes a video will have based on its Title - Predict the number of likes a comment will receive based on its text and sentiments

📔 Note

future datasets / additions will include data collected based on a specific time frame, location, and view counts I also have a similar YouTube Comments Dataset for COVID-19

If you find this dataset useful, please UPVOTE! It motivates me to create more quality content. Thank you!

context:

YouTube has become the largest stage for music in the world, with millions of artists, songs, and performances uploaded and streamed every day. Music videos are among the platform’s most popular content, often reaching billions of views and shaping global pop culture. This dataset was created to capture a snapshot of that ecosystem by collecting details about 100 popular music videos and the channels that host them.

The goal is to provide a resource for exploring how music spreads on YouTube — whether that’s through analyzing engagement, comparing artists, or uncovering trends in the way music content is presented.

content:

Each row in the dataset represents a music video, enriched with both video-level information and channel-level details:

title, fulltitle → Video titles

description → Official video description text

view_count → Total number of views

categories → YouTube category (e.g., Music)

tags → Keywords or labels assigned to the video

duration, duration_string → Video duration in seconds and formatted string

live_status → Indicates whether the video was streamed live

thumbnail → Thumbnail image URL

channel, channel_url → Channel name and direct link

channel_follower_count → Subscriber count of the channel

This dataset can be used for a variety of projects, such as:

• Analyzing video popularity and audience engagement

• Comparing artists and channels across different metrics

• Text mining and NLP on titles, tags, and descriptions

• Predictive modeling of video views and trends

Acknowledgement:

The data was collected from publicly available information on YouTube and is provided for educational and research purposes only. All rights to the original videos and content belong to their respective creators.

Comprehensive YouTube channel statistics for Techno Gamerz, featuring 48,800,000 subscribers and 14,816,861,103 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in IN. Track 1,148 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.