Youtube Channel Analysis

This repository explores data insights from various YouTube channels, aiming to identify trends and patterns in their content and performance.

Table of Contents

• youtube_analysis
• youtube_csv
• youtube_icons
• youtube_txt

About the Project

This project serves as a learning experience for web scraping, data analysis of YouTube channels, and exploring publicly available data on the platform. It began by scraping data from five selected channels:

TED Talks

Yoga with Kassandra

Tate

Arte Concert

Corey Schafer

The initial steps involved:

Data scraping using R or a suitable tool.
Data cleaning and organization into CSV files.
Exploratory data analysis (primarily focusing on the Yoga with Kassandra channel using R).

The youtube_csv folder contains for example the following fields:

channelTitle - videoId - videoTitle
yogaSubject - YogaChallenge
release_date - release_time - duration
viewCount - likeCount - commentCount
defaultLAudioLanguage - videoDescription
tags - videoCategoryId - videoCategoryLabel
topicCategories - caption

Technologies Used

• Primarily: R (data analysis and manipulation)Information about needed packages and libraries in the youtube_analysis files.
• (Optional) Web scraping tool (depending on scraping method)

Usage

learning R and doing experiements with data analytics

Contributors

License

This project is licensed under the GNU General Public License v3.0 License - see the LICENSE file for details.

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GitHub Repository

Link to GitHub repository