Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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

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

Authors

Ying Li

About

Compare Youtube series content with data analysis, statistics, and observations

Resources

Releases

No releases published

Packages

No packages published