Exploratory data analysis (EDA) & Finding insight using YouTube metrics

Tool Used: Google Colab 

Database:  YouTube

Objective:

The project aims to offer a simple yet effective tool for comparing YouTube channel metrics visually. It facilitates easy analysis of multiple channels at once, aiding in understanding their comparative popularity based on subscribers and views.

Functionality:

• Dynamic Data Retrieval: Utilizes the YouTube Data API to fetch statistics for a specified list of YouTube channel IDs.

• Visual Comparison: Generates horizontal bar charts to compare subscriber counts and views for each channel, providing insights into their relative popularity.

• Interactive: Allows users to add a new channel ID during runtime, enabling the comparison of additional channels.
  
  

Key Features:

• User Interaction: Accepts user input for adding new channel IDs, ensuring adaptability to changing requirements.

• Customizable Charts: Provides flexibility in chart customization (e.g., colors, labels, formatting), improving visual presentation

Project available on : Github