100+ datasets found
  1. YouTube Video and Channel Analytics

    • kaggle.com
    Updated Dec 8, 2023
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    The Devastator (2023). YouTube Video and Channel Analytics [Dataset]. https://www.kaggle.com/datasets/thedevastator/youtube-video-and-channel-analytics/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    Area covered
    YouTube
    Description

    YouTube Video and Channel Analytics

    YouTube Video and Channel Analytics: Statistics and Features

    By VISHWANATH SESHAGIRI [source]

    About this dataset

    The YouTube Video and Channel Metadata dataset is a comprehensive collection of data related to YouTube videos and channels. It consists of various features and statistics that provide insights into the performance and engagement of videos, as well as the overall popularity and success of channels.

    The dataset includes both direct features, such as total views, channel elapsed time, channel ID, video category ID, channel view count, likes per subscriber, dislikes per subscriber, comments per subscriber, and more. Additionally, there are indirect features derived from YouTube's API that provide additional metrics for analysis.

    One important aspect covered in this dataset is the ratio between certain metrics. For example: - The totalviews/channelelapsedtime ratio represents the average number of views a video has received relative to the elapsed time since the channel was created. - The likes/dislikes ratio indicates the proportion of likes on a video compared to dislikes. - The views/subscribers ratio showcases how engaged subscribers are by measuring the number of views relative to the number of subscribers.

    Other metrics explored in this dataset include comments/views ratio (representing viewer engagement), dislikes/views ratio (measuring viewer sentiment), comments/subscriber ratio (indicating community participation), likes/subscriber ratio (reflecting audience loyalty), dislikes/subscriber ratio (highlighting dissatisfaction levels), total number of subscribers for a channel (subscriberCount), total views on a channel (channelViewCount), total number of comments on a channel (channelCommentCount), among others.

    By analyzing these features and statistics within this dataset, researchers or data analysts can gain valuable insights into various aspects related to YouTube videos and channels. Furthermore, it may be possible to build statistical relationships between videos based on their performance characteristics or even develop topic trees based on similarities between different content categories. This dataset serves as an excellent resource for studying YouTube's ecosystem comprehensively.

    For accessing additional resources related to this dataset or exploring code repositories associated with it, users can refer to the provided GitHub repository

    How to use the dataset

    Introduction:

    Step 1: Understanding the Dataset Start by familiarizing yourself with the columns in the dataset. Here are some key features to pay attention to:

    • totalviews/channelelapsedtime: The ratio of total views of a video to the elapsed time of the channel.
    • channelViewCount: The total number of views on the channel.
    • likes/subscriber: The ratio of likes on a video to the number of subscribers of the channel.
    • views/subscribers: The ratio of views on a video to the number of subscribers of the channel.
    • subscriberCount: The total number of subscribers for a channel.
    • dislikes/views: The ratio of dislikes on a video to its total views.
    • comments/subscriber: The ratio comments on a video receive per subscriber count.

    Step 2: Determining Data Analysis Objectives Define your objectives or research questions before diving into data analysis using this dataset. For example, you may want to explore relationships between viewership, engagement metrics, and various attributes such as category ID or elapsed time.

    Step 3: Analyzing Relationships between Variables Use statistical techniques like correlation analysis or visualization tools like scatter plots, bar graphs, or heatmaps to understand relationships between variables in this dataset.

    For example: - Plotting totalviews/channelelapsedtime against channelViewCount can help identify patterns between overall video popularity and channels' view count growth over time. - Comparing likes/dislikes with comments/views can give insights into viewer engagement levels across different videos.

    Step 4: Building Machine Learning Models (Optional) If your objective includes predictive analysis or building machine learning models, select relevant features as predictors and the target variable (e.g., totalviews/channelelapsedtime) for training and evaluation.

    You can use various algorithms such as linear regression, decision trees, or neural networks to predict video performance or channel growth based on available attributes.

    Step 5: Evaluating Model Performance Assess the predictive model's performance using appropriate evaluation metrics like mean square...

  2. U.S. YouTube users who regularly watch favorite YouTube channels 2017

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). U.S. YouTube users who regularly watch favorite YouTube channels 2017 [Dataset]. https://www.statista.com/statistics/259490/us-users-who-regularly-watch-favourite-youtube-channels/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2, 2017 - Feb 8, 2017
    Area covered
    United States
    Description

    This statistic gives information on the percentage of U.S. YouTube users who regularly watch favorite YouTube channels as of February 2017. During the survey, it was found that 34 percent of YouTube users had more than two favorite channels they watched regularly. As of February 2017, PewDiePie was the most popular channel on the platform, according to the number of subscribers.

  3. E

    List Of Vital YouTube Statistics Marketers Should Not Ignore In 2023

    • enterpriseappstoday.com
    Updated Oct 10, 2023
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    EnterpriseAppsToday (2023). List Of Vital YouTube Statistics Marketers Should Not Ignore In 2023 [Dataset]. https://www.enterpriseappstoday.com/stats/youtube-statistics.html
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    Dataset updated
    Oct 10, 2023
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global, YouTube
    Description

    Key YouTube Statistics (Editor’s Choice) YouTube recorded 70 billion monthly active users in March 2023, which includes 55.10% of worldwide active social media users. There have been more than 14 million daily active users currently on YouTube, in the United States of America this platform is accessed by 62% of users. YouTube is touted as the second largest search engine and the second most visited website after Google. Revenue earned by YouTube in the first two quarters of 2023 is around $14.358 billion. In 2023, YouTube Premium and YouTube Music have recorded 80 million subscribers collectively worldwide. YouTube consumers view more than a billion hours of video per day. YouTube has more than 38 million active channels. In the fourth quarter of 2021, YouTube ad revenue has been $8.6 billion. Around 3 million paid subscribers to access YouTube TV. YouTube Premium has around 1 billion paid users. In 2023, YouTube was banned in countries such as China excluding Macau and Hong Kong, Eritrea, Iran, North Korea, Turkmenistan, and South Sudan. With 166 million downloads, the YouTube app has become the second most downloaded entertainment application across the world after Netflix. With 91 million downloads, YouTube Kids has become the sixth most downloaded entertainment app in the world. Nearly 90% of digital consumers access YouTube in the US, making it the most popular social network for watching video content. Over 70% of YouTube viewership takes place on its mobile application. More than 70% of YouTube video content watched by people is suggested by its algorithm. The average duration of a video on YouTube is 12 minutes. An average YouTube user spends 20 minutes and 23 seconds on the platform daily. Around 28% of YouTube videos that are published by popular channels are in the English language. 77% of YouTube users watch comedy content on the platform. With 247 million subscribers, T-Series has become the most subscribed channel on YouTube. Around 50 million users log on to YouTube every day. YouTube's biggest concurrent views record has been at 2.3 billion from when SpaceX has gone live on the platform to unveil Falcon Heavy Rocket. The majority of YouTube users are in the age group of 15 to 35 years in the US. The male-female ratio of YouTube users is 11:9. Apple INC. has been touted as the biggest advertiser on YouTube in 2020 spending $237.15 million. YouTube produced total revenue of $19.7 billion in 2020. As of 2021, the majority of YouTube users (467 million) are from India. It is the most popular platform in the United States with 74 percent of adult users. YouTube contributes to nearly 25% of mobile traffic worldwide. Daily live streaming on YouTube has increased by 45% in total in 2020. In India, around 225 million people are active on the platform each hour as per the 2021 statistics. YouTube Usage and Viewership Statistics #1. YouTube accounts for more than 2 billion monthly active users Around 2.7 billion users log on to YouTube each month. The number of monthly active users of YouTube is expected to grow even further. #2. Around 14.3 billion people visit the platform every month The number of YouTube visitors is far higher compared to Facebook, Amazon, and Instagram. #3. YouTube is accessible across 100 countries in 80 languages. The platform is widely available across different communities and nations. #4. 53.9% of YouTube users are men and 46.1% of women use the platform As of 2023 statistics, 53.9% of men use the platform and 46.1% of women over 18 years are on YouTube. The share in the number of males and females is 1.38 billion and 1.18 billion respectively. Age Group Male Female 18 to 24 8.5% 6% 25 to 34 11.6% 8.6% 35 to 44 9% 7.5% 45 to 54 6.2% 5.7% 55 to 64 4.4% 4.5% Above 65 4.3% 5.4% #5. 99% of YouTube users are active on other social media networks as well. Fewer than 1% of YouTube users are solely dependent on the platform. #6. Users spend around 20 minutes and 23 seconds per day on YouTube on average It is quite a generous amount of time spent on any social network platform. #7. YouTube is the second most visited site worldwide With more than 14 billion visits per month, YouTube has become the second most visited site in the world. However, its parent company Google is the most visited site across the globe. As per the statistics, YouTube is the third most popular searched word on Google. #8. 694000 hours of video content are streamed on YouTube per minute YouTube has outweighed Netflix as well in terms of streaming video content. #9. Over 81% of total internet users have accessed YouTube #10. Nearly 450 million hours of video content are uploaded on YouTube each hour More than 5 billion videos are watched on YouTube per day. #11. India has the maximum numb

  4. YouTube: most subscribed channels 2025

    • statista.com
    Updated Sep 4, 2025
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    Statista (2025). YouTube: most subscribed channels 2025 [Dataset]. https://www.statista.com/statistics/277758/most-popular-youtube-channels-ranked-by-subscribers/
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    Dataset updated
    Sep 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Worldwide, YouTube
    Description

    What is the most subscribed YouTube channel? MrBeast made the first place in the ranking of the most-subscribed YouTube channels in January 2025. With 343 million subscribers, the U.S. based videographer and internet personality managed to surpass Indian music network T-Series, which held the number one place for several years, and sat at 284 million subscriber as of the examined period. How many hours of video are uploaded to YouTube every minute? YouTube was launched in 2005 as a platform for sharing user-generated videos such as vlogs, tutorials, or original series. The site grew rapidly and reportedly had 100 million video views per day and more than 65 thousand daily uploads only a year later. As of February 2022, more than 500 hours of video were uploaded to YouTube every minute, up from a mere 24 hours of content uploads per minute in 2010. YouTube Partner Program In the first quarter of 2024, YouTube’s ad revenue amounted to over eight billion U.S. dollars. Through its Partner Program, YouTube also rewards uploaders of popular videos with a share of the advertising revenues the content generates. This, paired with the fact that many users of the video sharing platform tend to have favorite channels that they revisit regularly, has given rise to another phenomenon: YouTube celebrities. Although some of these well-known figures were discovered on the website but then carved a successful career outside of YouTube, for many others the site is their primary platform for delivering content and staying in contact with fans, all while signing lucrative deals or promotional partnerships. Highest earning YouTubers In November 2022, MrBeast surpassed long-standing most subscribed YouTuber PewDiePie, having reached approximately 112 million subscribers. Due to the high number of subscribers and even higher number of views, these out-of-the-box stars not only have millions of fans, but also considerable earnings from their YouTube activities. In 2023, MrBeast was estimated to have earned around 82 million U.S. dollars, topping the ranking of the highest-earning YouTube creators. The ranking also included social media personality Jake Paul and Mark Fischbach, as well as Ryan Kaji from Ryan's World (formerly known as ToysReview), who started his YouTube career reviewing toys at three years old.

  5. YouTube: most viewed channels 2025

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). YouTube: most viewed channels 2025 [Dataset]. https://www.statista.com/statistics/373729/most-viewed-youtube-channels/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    YouTube, Worldwide
    Description

    As of January 2025, the ranking of the most popular YouTube channels based on monthly views is dominated by music and children's content. Wiz Khalifa's Music channel was ranked first with a whopping six billion channel views, while Wow Kidz ranked second with over five billion video views in the last examined month. Indian music record channel T-Series -which ranked first continuously in 2021 and 2022, placed third with 2.72 billion video views. Most subscribed YouTube channels When looking at the most-subscribed YouTube channels: Indian music label T-Series was ranked first with 229 million channel subscribers. The video game commentator Felix Kjellberg, aka PewDiePie, ranked seventh, with roughly 111 million subscribers, after being surpassed by Jimmy Donaldson, aka MrBeast in November 2022. As of June 2022, PewDiePie was still the most subscribed gaming-content channel on YouTube, followed by Salvadorian YouTuber Fernanfloo with 45 million global subscribers. Creators' earnings MrBeast was the highest-earning YouTuber in 2021, with 54 million U.S. dollars. Ryan Kaji from Ryan's World was among the youngest content creators making the rankings of the highest-earning YouTubers in 2021, with an estimated revenue of 27 million U.S. dollars. Ryan’s channel was set up by his parents in March 2015, when the young content creator was three years old. MrBeast was also the leading content creator on YouTube based on Influence Media Value, while PewDiePie ranked third with an evaluation of around 3.91 million U.S. dollars.

  6. YouTube Channel Statistics Dataset

    • kaggle.com
    Updated Jul 11, 2023
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    Vamshi krishna Pennakoduru (2023). YouTube Channel Statistics Dataset [Dataset]. https://www.kaggle.com/datasets/vamshikrishna305/youtube-channel-statistics-dataset/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 11, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Vamshi krishna Pennakoduru
    Area covered
    YouTube
    Description

    This comprehensive YouTube Video Analytics Dataset provides valuable insights into the performance of a wide range of videos on the popular platform. Spanning various genres, the dataset encompasses essential information such as - 1.Genre 2.video titles, 3.publish times, 4.view counts, 5.watch time (in hours), 6.subscriber counts, 7.average view durations, 8.impressions, and 9.impressions click-through rates (%).

    By leveraging this dataset, researchers, analysts, and data enthusiasts can delve into the factors that influence video success on YouTube. Analyze the correlation between genre and view counts, investigate the impact of subscriber counts on watch time, or explore how average view durations and click-through rates affect video impressions.

    Whether you're interested in exploring video trends, identifying patterns in user behavior, or developing machine learning models, this dataset serves as a valuable resource. Gain actionable insights into YouTube video performance and contribute to the ever-growing field of online content analysis. LICENCE NOTE - This is the dataset of my own channel.

  7. Countries with the most YouTube users 2025

    • statista.com
    Updated Feb 17, 2025
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    Statista (2025). Countries with the most YouTube users 2025 [Dataset]. https://www.statista.com/statistics/280685/number-of-monthly-unique-youtube-users/
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    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide, YouTube
    Description

    As of February 2025, India was the country with the largest YouTube audience by far, with approximately 491 million users engaging with the popular social video platform. The United States followed, with around 253 million YouTube viewers. Brazil came in third, with 144 million users watching content on YouTube. The United Kingdom saw around 54.8 million internet users engaging with the platform in the examined period. What country has the highest percentage of YouTube users? In July 2024, the United Arab Emirates was the country with the highest YouTube penetration worldwide, as around 94 percent of the country's digital population engaged with the service. In 2024, YouTube counted around 100 million paid subscribers for its YouTube Music and YouTube Premium services. YouTube mobile markets In 2024, YouTube was among the most popular social media platforms worldwide. In terms of revenues, the YouTube app generated approximately 28 million U.S. dollars in revenues in the United States in January 2024, as well as 19 million U.S. dollars in Japan.

  8. b

    YouTube Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated May 22, 2018
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    Business of Apps (2018). YouTube Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/youtube-statistics/
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    Dataset updated
    May 22, 2018
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    YouTube
    Description

    YouTube was launched in 2005. It was founded by three PayPal employees: Chad Hurley, Steve Chen, and Jawed Karim, who ran the company from an office above a small restaurant in San Mateo. The first...

  9. MrBeast Youtube Stats and subtitles

    • kaggle.com
    Updated Mar 24, 2023
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    dissfya (2023). MrBeast Youtube Stats and subtitles [Dataset]. https://www.kaggle.com/datasets/dissfya/mr-beast-youtube-stats-and-subtitles
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Kaggle
    Authors
    dissfya
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    YouTube
    Description

    This dataset contains statistics about 700+ videos from Mr.Beast's YouTube channel.

    Don't Forget to share your feedback ❤️.

    Make an upvote👍 If you found it useful.

    The data contains title, id, publication date and time, description, views, likes, comments, duration in seconds and subtitles for each video.

    Daily pull data here: https://www.kaggle.com/datasets/dissfya/mrbeast-youtube-stats-daily-pull

  10. YouTube: most subscribed kids content channels 2025

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). YouTube: most subscribed kids content channels 2025 [Dataset]. https://www.statista.com/statistics/785626/most-popular-youtube-children-channels-ranked-by-subscribers/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Worldwide, YouTube
    Description

    Seen the popularity of the YouTube platform among younger users and children, kids-themed YouTube channels are among the most popular types of content on the platform. As of March 2024, ChuChu TV Nursery Rhymes & Kids Songs was the most subscribed kids' content channel, with approximately 94.7 million subscribers. Spanish-language channel El Reino Infantil ranked second with approximately 67.5 million subscribers, while Masha and the Bear ranked third with 53.3 million subscribers. Kids on YouTube According to a survey of global parents conducted in September 2022, over half of the respondents reported that watching YouTube videos was a popular online activity their children chose to engage with. In the United States, children were using the YouTube app to watch content for over one hour daily on average in 2023. Children media consumption As of May 2022, software, audio, and video content were the most popular categories for global children to interact with online, with approximately 44 percent of younger users visiting and engaging with these content formats. Between 52 percent and 55 percent of children in India, Saudi Arabia, and South Africa were reported visiting software, audio, and video websites between 2020 and 2021.

  11. Youtube Statistics and MacroEconomics - 2023

    • kaggle.com
    Updated May 20, 2024
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    raahul raj (2024). Youtube Statistics and MacroEconomics - 2023 [Dataset]. https://www.kaggle.com/datasets/raahulraj/youtube-statistics-and-macroeconomics-2023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    raahul raj
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    YouTube
    Description

    The dataset provides a comprehensive overview of leading YouTube channels, capturing key metrics such as subscriber counts, video views, and estimated annual earnings. It includes information on the channel's category, number of uploads, and geographical data like country and urban population. Additionally, socio-economic indicators such as gross tertiary education enrollment, unemployment rate, and development status of the channel's country are included. For instance, T-Series, the top-ranked channel, has 245 million subscribers and 228 billion video views, generating significant annual earnings. This dataset is invaluable for analyzing the dynamics of content creation on YouTube and understanding how geographical and economic factors influence channel success.

  12. r

    Unleashed You tube channel statistics

    • researchdata.edu.au
    • data.wu.ac.at
    Updated Jun 29, 2016
    + more versions
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    Department of the Premier and Cabinet (2016). Unleashed You tube channel statistics [Dataset]. https://researchdata.edu.au/unleashed-you-tube-channel-statistics/2210817
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    Dataset updated
    Jun 29, 2016
    Dataset provided by
    data.sa.gov.au
    Authors
    Department of the Premier and Cabinet
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    YouTube
    Description

    This dataset contains statistics related to the Unleashed You tube channel (UnleashedADL). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. The data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

  13. Mexico: most viewed YouTube channels 2025

    • statista.com
    Updated Aug 5, 2025
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    Statista (2025). Mexico: most viewed YouTube channels 2025 [Dataset]. https://www.statista.com/statistics/970645/most-viewed-youtube-channels-mexico/
    Explore at:
    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of January 2025, the most viewed YouTube channel in Mexico was YOLO AVENTURAS, with more than ***** billion video views. It was followed by Masha y el Oso, with around ***** billion views. YOLO AVENTURAS was also the second YouTube channel with most subscribers in Mexico.

  14. A

    Social Media Channels and Statistics at the National Archives

    • data.amerigeoss.org
    • catalog.data.gov
    • +1more
    api, html
    Updated Aug 21, 2022
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    United States (2022). Social Media Channels and Statistics at the National Archives [Dataset]. https://data.amerigeoss.org/he/dataset/social-media-channels-and-statistics-at-the-national-archives1
    Explore at:
    html, apiAvailable download formats
    Dataset updated
    Aug 21, 2022
    Dataset provided by
    United States
    Description

    More than 100 social media channels and statistics for the National Archives and Records Administration.

  15. YouTube Trending Video Dataset (updated daily)

    • kaggle.com
    zip
    Updated Apr 15, 2024
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    Rishav Sharma (2024). YouTube Trending Video Dataset (updated daily) [Dataset]. https://www.kaggle.com/rsrishav/youtube-trending-video-dataset
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Apr 15, 2024
    Authors
    Rishav Sharma
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    YouTube
    Description

    This dataset is a daily record of the top trending YouTube videos and it will be updated daily.

    Context

    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.

    Content

    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.

    Acknowledgements

    This dataset was collected using the YouTube API. This dataset is the updated version of Trending YouTube Video Statistics.

    Inspiration

    Possible uses for this dataset could include: - Sentiment analysis in a variety of forms - Categorizing YouTube videos based on their comments and statistics. - Training ML algorithms like RNNs to generate their own YouTube comments. - Analyzing what factors affect how popular a YouTube video will be. - Statistical analysis over time .

    For further inspiration, see the kernels on this dataset!

  16. Most popular YouTube channels in Denmark 2025, by number of video views

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Most popular YouTube channels in Denmark 2025, by number of video views [Dataset]. https://www.statista.com/statistics/625394/leading-channels-on-youtube-in-denmark-by-number-of-video-views/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Denmark
    Description

    Isabell Afro had the highest number of views, amounting to roughly **** billion and was followed by Lukas Graham, who had nearly *** billion. Crainer ranked third with approximately * billion views.

  17. Leading YouTube channels in Czechia 2025, by number of views

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Leading YouTube channels in Czechia 2025, by number of views [Dataset]. https://www.statista.com/statistics/1032992/czechia-leading-youtube-channels-by-views-number/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Czechia
    Description

    As of April 2025, Printographer1 was the Youtube channel with the most number of video views in Czechia. The channel had a total of **** billion views. Радио Свобода followed closely with **** billion views.

  18. f

    Data from: Social Media Stats

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +1more
    Updated Mar 14, 2020
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    City of Johns Creek, GA (2020). Social Media Stats [Dataset]. https://gisdata.fultoncountyga.gov/items/a9e06ab9c8864bdea67618a6c6d0c7b4
    Explore at:
    Dataset updated
    Mar 14, 2020
    Dataset authored and provided by
    City of Johns Creek, GA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Earth
    Description

    This table contains monthly aggregated social media metrics for all channels and profiles managed by the City of Johns Creek, GA.Note: This data does not contain any metrics related to profiles managed by JCPD or JCFD.

  19. Average views per video of YouTube channels Asia 2021, by category

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Average views per video of YouTube channels Asia 2021, by category [Dataset]. https://www.statista.com/statistics/1288310/asia-average-views-per-video-of-youtube-channels-by-category/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Nov 2021
    Area covered
    Asia, APAC, YouTube
    Description

    From YouTube channels in Asia, videos of the comedy category received the highest average views per video in the first 11 months of 2021, at around *** thousand views. Film and animation was the second most viewed category per video, at over ** thousand views in that same period.

  20. YouTube Gaming leading channels 2025, by peak viewers

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). YouTube Gaming leading channels 2025, by peak viewers [Dataset]. https://www.statista.com/statistics/1015585/youtube-gaming-peak-viewers/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, YouTube
    Description

    As of April 2025, Nintendo of America was the most popular YouTube Gaming channel based on peak viewers. This was largely due to the Nintendo Direct event earlier that month, which peaked at *** million concurrent viewers.

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The Devastator (2023). YouTube Video and Channel Analytics [Dataset]. https://www.kaggle.com/datasets/thedevastator/youtube-video-and-channel-analytics/code
Organization logo

YouTube Video and Channel Analytics

YouTube Video and Channel Analytics: Statistics and Features

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Dec 8, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
The Devastator
Area covered
YouTube
Description

YouTube Video and Channel Analytics

YouTube Video and Channel Analytics: Statistics and Features

By VISHWANATH SESHAGIRI [source]

About this dataset

The YouTube Video and Channel Metadata dataset is a comprehensive collection of data related to YouTube videos and channels. It consists of various features and statistics that provide insights into the performance and engagement of videos, as well as the overall popularity and success of channels.

The dataset includes both direct features, such as total views, channel elapsed time, channel ID, video category ID, channel view count, likes per subscriber, dislikes per subscriber, comments per subscriber, and more. Additionally, there are indirect features derived from YouTube's API that provide additional metrics for analysis.

One important aspect covered in this dataset is the ratio between certain metrics. For example: - The totalviews/channelelapsedtime ratio represents the average number of views a video has received relative to the elapsed time since the channel was created. - The likes/dislikes ratio indicates the proportion of likes on a video compared to dislikes. - The views/subscribers ratio showcases how engaged subscribers are by measuring the number of views relative to the number of subscribers.

Other metrics explored in this dataset include comments/views ratio (representing viewer engagement), dislikes/views ratio (measuring viewer sentiment), comments/subscriber ratio (indicating community participation), likes/subscriber ratio (reflecting audience loyalty), dislikes/subscriber ratio (highlighting dissatisfaction levels), total number of subscribers for a channel (subscriberCount), total views on a channel (channelViewCount), total number of comments on a channel (channelCommentCount), among others.

By analyzing these features and statistics within this dataset, researchers or data analysts can gain valuable insights into various aspects related to YouTube videos and channels. Furthermore, it may be possible to build statistical relationships between videos based on their performance characteristics or even develop topic trees based on similarities between different content categories. This dataset serves as an excellent resource for studying YouTube's ecosystem comprehensively.

For accessing additional resources related to this dataset or exploring code repositories associated with it, users can refer to the provided GitHub repository

How to use the dataset

Introduction:

Step 1: Understanding the Dataset Start by familiarizing yourself with the columns in the dataset. Here are some key features to pay attention to:

  • totalviews/channelelapsedtime: The ratio of total views of a video to the elapsed time of the channel.
  • channelViewCount: The total number of views on the channel.
  • likes/subscriber: The ratio of likes on a video to the number of subscribers of the channel.
  • views/subscribers: The ratio of views on a video to the number of subscribers of the channel.
  • subscriberCount: The total number of subscribers for a channel.
  • dislikes/views: The ratio of dislikes on a video to its total views.
  • comments/subscriber: The ratio comments on a video receive per subscriber count.

Step 2: Determining Data Analysis Objectives Define your objectives or research questions before diving into data analysis using this dataset. For example, you may want to explore relationships between viewership, engagement metrics, and various attributes such as category ID or elapsed time.

Step 3: Analyzing Relationships between Variables Use statistical techniques like correlation analysis or visualization tools like scatter plots, bar graphs, or heatmaps to understand relationships between variables in this dataset.

For example: - Plotting totalviews/channelelapsedtime against channelViewCount can help identify patterns between overall video popularity and channels' view count growth over time. - Comparing likes/dislikes with comments/views can give insights into viewer engagement levels across different videos.

Step 4: Building Machine Learning Models (Optional) If your objective includes predictive analysis or building machine learning models, select relevant features as predictors and the target variable (e.g., totalviews/channelelapsedtime) for training and evaluation.

You can use various algorithms such as linear regression, decision trees, or neural networks to predict video performance or channel growth based on available attributes.

Step 5: Evaluating Model Performance Assess the predictive model's performance using appropriate evaluation metrics like mean square...

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