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Creator Analytics and Revenue Data
Data Science and Analytics
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About
Detailed performance metrics derived from a popular YouTube channel focused on teaching Data Science are available for analysis. The collection consists of 13 unique tables, capturing essential daily data points such as viewing hours, viewership, channel revenue, and audience demographics. The primary purpose of releasing this data is to facilitate analysis and inspire perspectives on how a creator can best optimize video content to enhance viewing time and overall channel engagement.
Columns
The collection includes diverse data spanning multiple tables. Focusing on the ad type performance file, key metrics include:
- Date: A daily timestamp tracking performance across the channel’s operational history.
- Ad type: Categorises the format of advertisements served. There are 9 distinct values present, with "AUCTION_TRUEVIEW_INSTREAM" being the most frequently occurring type.
- YouTube ad revenue (INR): The income generated by advertisements, denominated in Indian Rupees. Revenue figures range from small negative values up to high positive amounts.
Distribution
This product comprises 13 distinct tables downloaded directly from the YouTube Channel’s analytics platform. Although the files are typically structured as CSV files, one sample file is approximately 928.49 kB in size. The data is presented as a time series, capturing daily metrics. The sampled ad revenue file contains approximately 27.9 thousand validated records.
Usage
This dataset is ideally suited for academic research into educational content consumption and digital media trends. It can be used by analysts to build predictive models that determine the correlation between different content types and viewership numbers. The data directly addresses the challenge of identifying optimal video topics necessary to significantly increase views and viewing hours on the platform. Furthermore, it is excellent source material for data visualisation projects.
Coverage
The data provides daily coverage spanning a significant time frame, commencing on 6 January 2012 and extending through to 29 June 2020. The scope is specifically focused on the operational performance and user base of a single Data Science education channel. The data is expected to receive annual updates to maintain relevance.
License
CC BY-NC-SA 4.0
Who Can Use It
Data Scientists and Machine Learning Engineers: Those looking to apply sophisticated time series or predictive models to understand digital content monetisation and audience retention.
Content Creators and YouTube Strategists: Individuals seeking evidence-based insights to inform their content strategy, maximise earnings, and improve user engagement.
Education Researchers: Scholars interested in the metrics behind online educational resources and their success factors.
Dataset Name Suggestions
- YouTube Data Science Channel Daily Performance
- Creator Analytics and Revenue Data
- Kunaal Naik Channel Growth Metrics
- Video Content Optimisation Data
Attributes
Original Data Source: Creator Analytics and Revenue Data
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