EMBL YouTube Channel Analysis

This is a personal project provides analysis of the EMBL YouTube channel. The analysis based on the data from the YouTube API and visualizes insights.

Key Features

• Best Performing Videos: A breakdown of the top videos by view count.
• Monthly Likes Trend: Visualization of engagement over time.
• Keyword Word Cloud: Frequently used keywords in video titles and descriptions.
• View Count Analysis by Day: Understanding audience behavior by day of the week.

Installation

1. Clone the repository: git clone https://github.com/yusufwa7ied/EMBL-Youtube-Analysis

2. Install required libraries: pip install -r requirements.txt

Usage

Open EMBL_Youtube_Channel_Analysis.ipynb in Jupyter Notebook and run cells in sequence to reproduce the analysis and visualizations.

Dependencies

See requirements.txt for Python libraries required for this project.

Project Data

This project uses data from the YouTube API for EMBL YouTube channel. Ensure proper API key configuration to retrieve data if re-running the analysis.

Results

The analysis provides insights into video performance, engagement trends, and audience behavior, which could be beneficial for optimizing content strategy.