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YouTube Channel Performance Overview
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About
This dataset provides insights into popular YouTube channels, offering a detailed exploration of their characteristics. It includes vital information such as channel names, their primary brand focus (e.g., Gaming, Music), subscriber figures in millions, primary languages used, content categories (both broad and specific), and their country of origin. Leveraging this data allows for valuable analysis of YouTube's content landscape, audience demographics, and evolving trends, helping to identify popular content areas and benchmark channel performance.
Columns
- Name: The name of the YouTube channel. This column contains 50 unique values, all of which are valid. The most frequently occurring channel name is T-Series.
- Brand channel: Indicates whether the channel is a brand channel (e.g., a corporate entity or a media house) or an individual creator. This is a boolean field, with 32 channels identified as brand channels (64%) and 18 as non-brand channels (36%).
- Subscribers (millions): The total number of subscribers the channel has, expressed in millions. Subscriber counts range from 46.3 million to 249 million, with a mean of 76.2 million.
- Primary language: The main language used for the channel's content. There are 13 unique languages represented, with English being the most common (38%), followed by Hindi (26%).
- Category: The primary content category of the channel. This column has 8 unique categories, predominantly Music (44%) and Entertainment (34%).
- Country: The country of origin for the YouTube channel. The dataset includes channels from 19 unique countries, with India (36%) and the United States (22%) being the most common origins.
Distribution
The dataset is provided in a CSV (Comma Separated Values) format and is approximately 3.14 kB in size. It comprises 6 columns and 50 records, providing a snapshot of the most subscribed YouTube channels.
Usage
This dataset is ideal for a variety of analytical applications:
- Analysing trends by language, content category, and geographic region on YouTube.
- Identifying popular content niches and areas with high audience engagement across different locations.
- Benchmarking the performance of YouTube channels against competitors or industry standards.
- Understanding viewer demographics and preferences for diverse content types.
- Gaining insights into the broader YouTube content landscape, audience composition, and developing trends within the platform.
Coverage
The dataset offers global geographic coverage, featuring YouTube channels from 19 different countries, with a notable presence from India and the United States. It provides insight into the linguistic diversity of top channels, covering 13 primary languages, and categorises content across 8 distinct types, including Music and Entertainment. A specific time range for the data collection is not specified in the available sources, implying the data represents a current snapshot rather than a historical series.
License
CC0: Public Domain
Who Can Use It
- Market Researchers and Analysts: To study content trends, audience behaviour, and identify growth opportunities in the online video space.
- Content Creators and Strategists: To inform content development, understand competitor strategies, and benchmark their channel's performance.
- Media and Entertainment Companies: For strategic planning, identifying talent, and understanding shifts in digital content consumption.
- Data Scientists and Academics: For conducting research on social media dynamics, network analysis, and cultural content consumption patterns.
Dataset Name Suggestions
- Global YouTube Channel Dynamics
- Top YouTube Subscriber Data
- YouTube Content Insights
- Leading YouTube Channels Statistics
- YouTube Channel Performance Overview
Attributes
Original Data Source: YouTube Channel Performance Overview
QUALITY