YouTube Sports Channels Statistics by Kaggle | Sports

About this Dataset

YouTube Sports Channels Statistics

Dataset Overview:

Scope: Explore a vast set of sports channels on YouTube, each a beacon of engagement and community in the sports world.
Utility: Ideal for data enthusiasts looking to analyze trends in sports broadcasting, understand audience engagement, and uncover growth patterns among the most popular sports channels on YouTube.

Data Science Applications:

Trend Forecasting: Predict future growth and engagement trends within the sports broadcasting domain on YouTube.
Audience Insights: Gain a deeper understanding of viewer preferences and behaviors.
Content Strategy Optimization: Leverage video and subscriber count metrics to inform content creation and channel growth strategies.

Column Descriptors:

Channel ID: Unique identifier for each YouTube channel.
Channel Title: Name of the channel.
Start Date: The inception date of the channel on YouTube.
Video Count: Total number of videos uploaded by the channel.
View Count: Cumulative number of views across all videos.
Subscriber Count: Total number of channel subscribers.

Ethical Considerations:

Data has been ethically mined, adhering to privacy norms and YouTube's data use policies, ensuring responsible use of digital information.

Acknowledgements:

A heartfelt thanks to YouTube for fostering a dynamic platform that brings together sports fans and content creators from around the globe.
The dataset's thumbnail, featuring the YouTube logo, is a tribute to the platform's pivotal role in the dissemination of sports content.

Embark on an analytical expedition through the "YouTube Sports Channels Statistics" dataset, where every number narrates the passion and dynamism of the global sports community on YouTube.

Tables

Yt Sports Channels Stats

@kaggle.kanchana1990_youtube_sports_channels_statistics.yt_sports_channels_stats

38.26 KB
558 rows
6 columns


CREATE TABLE yt_sports_channels_stats (
  "channel_id" VARCHAR,
  "channel_title" VARCHAR,
  "start_date" TIMESTAMP,
  "video_count" BIGINT,
  "view_count" BIGINT,
  "subscriber_count" BIGINT
);