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Top 50 Weekly YouTube Performance Data
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About
This resource offers a detailed glimpse into the performance metrics of the world’s most successful digital content channels. It catalogues key operational statistics for the top 50 YouTube channels globally during the week spanning 24th to 30th October 2022. The data allows users to analyse success factors such as subscriber count, total video uploads, overall view count, content genre, geographical origin, and estimated daily earnings, providing crucial context for understanding platform dynamics and high-level digital influence.
Columns
- Rank (Int type): An index column indicating the channel's weekly ranking.
- Channel (String type): The specific name of the high-ranking YouTube channel.
- Channel Created On (DateTime type): The date when the channel was initially established.
- Country (String type): The country associated with the channel's origin.
- Channel Type (String type): Describes the content category or genre of the channel (e.g., Music, Entertainment).
- Number of Subscribers (In Millions) (Float type): The channel's total subscriber count, expressed in millions.
- Total Video Uploads (Till End of the Week) (Int type): The cumulative number of videos uploaded by the channel up to the end of the specified week.
- Total Views (Till End of the Week) (Int type): The collective, total views accumulated by the channel's videos to date.
- Estimated Earnings in $ (As on 24th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
- Estimated Earnings in $ (As on 25th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
- Estimated Earnings in $ (As on 26th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
- Estimated Earnings in $ (As on 27th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
- Estimated Earnings in $ (As on 28th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
- Estimated Earnings in $ (As on 29th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
- Estimated Earnings in $ (As on 30th Oct 2022) (String type): The estimated monetary earnings in USD as recorded on this date.
Distribution
The data is structured as tabular information, typically provided in formats like CSV. It consists of 50 distinct records, corresponding to the top 50 YouTube channels measured. The structure includes 15 unique columns. While the original file size is approximately 7.11 kB, the focus is on the content and structure of these 50 rows, with no missing values observed across the key metrics. Data types vary, including Strings for channel details and estimated earnings, Floats for subscriber counts, and Integers for views and video uploads.
Usage
This data product is suited for a variety of analytical tasks. It can be used for benchmarking digital media success, conducting correlational studies between channel age, upload frequency, and total views, and performing market analysis on the most dominant content genres globally (e.g., Music and Entertainment). It is also valuable for short-term time series analysis of estimated daily earnings for elite content creators.
Coverage
The data provides statistics for global YouTube channels. Geographically, it shows a significant presence from the US (38%) and India (32%), alongside channels from ten other nations. The temporal scope covers channel performance during the specific period of 24th to 30th October 2022. The channel creation dates included in the sample range from November 2005 through to April 2018. The scope is strictly limited to the top 50 channels by subscriber count at the time of collection.
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: To develop predictive models concerning viewer engagement and platform growth.
- Digital Media Strategists: To identify successful strategies, trends, and content niches among the market leaders.
- Researchers: For studying the global economy of social networks and content monetisation.
- Content creators and Executives: To assess competitive landscapes and set performance benchmarks.
Dataset Name Suggestions
- Global YouTube Channel Metrics: October 2022
- Top 50 Weekly YouTube Performance Data
- Elite YouTube Channel Statistics (Oct 24-30, 2022)
- YouTube Power Ranking and Earning Estimates
Attributes
Original Data Source: Top 50 Weekly YouTube Performance Data
QUALITY