YT Trends

Welcome! The purpose of this project is analyze and compare Youtube content between two BuzzFeed shows, Unsolved and Taste Test.

This is important because we want to know which of these series reaches audiences in a positive way and helps us understand the type of content that is worth investing.

In this project, we examined how video likes changes as view count or comment count increases and presented our data visualizations and observations through a website.

Live webpage

Getting Started

• Get Youtube API from Google's Developer API and paste in config.py file. Note: For security concerns, my own Google API key has been hidden.

Requirements

• Jupyter Notebook
• Scipy
• Pandas
• Matplotlib

Instructions

• Open the Jupyter Notebook file to see how we requested the Youtube API, used Pandas to clean the data and save to CSV file, and scipy/matplotlib to observe any significant trends.

Resources

• Bootstrap

Authors

Ying Li