CS661 Project : Analysis of Global Youtube Video Data

This project involves the creation of an Analytics Dashboard using the Trending Youtube Video Statistics kaggle dataset.

Dashboard deployed on Render : https://yt-final-dashboard-5.onrender.com

Dataset Description

The chosen dataset is a global dataset sourced from Kaggle. It is about YouTube (the world- famous video-sharing website) which maintains a list of the top trending videos on the platform. This dataset is a daily record of the top trending YouTube videos. It was collected originally using the YouTube API. The dataset has a large number of features ranging around 50 countries including subscribers, uploads, views, publish date, created data, region wise stats etc, channel type etc.

Link to Dataset : Dataset Link

Experiments

As of now, we are using the Global Youtube Statistics Data filtered on 10 different regions. The plots are created via groupings of data based on Country, Youtuber, channel_type. The dashboard also contains correlation analysis, trend analysis and other plots on user actions like [subscribers, uploads, views, monthly, yearly revenue].

Some of the main plots of the dashboard inclues:

1. Annual channel based trend analysis
2. Category based plots
3. Youtuber metrics analysis
4. Region based summary
5. Correlation plots

About the Dashboard

The global dataset is provided under the ./data directory

The main dash application is present in app.py file

All the notebooks are present in the ./notebooks directory

The dashboard is deployed using Render and the deployed link is provided above in the README file.

Libraries used

1. plotly express
2. dash
3. dash-bootstrap