Youtube Data Analysis Project
MSBX 5410
Fanyi | Freddie | Hathaway | Jaydip
Project Introduction
This project is a deep analysis on Trending Youtube Video Statistic. This website will walk you through some data exploration and deeper analysis on Youtube Trending Video Statistic in between countries like US, Canada, United Kingdom, France and Germany. Moreover, the website also identified multiple correlations of several related terms.
Data Information #back to top
Data Context
YouTube, the world-famous video sharing website, maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”. Top performers on the YouTube trending list are music videos (such as the famously virile “Gangam Style”), celebrity and/or reality TV performances, and the random dude-with-a-camera viral videos that YouTube is well-known for. This dataset is a daily record of the top trending YouTube videos. Note that this dataset is a structurally improved version of this dataset.
Data Content
This dataset includes several months (and counting)
of data on daily trending YouTube videos. Data is included
for the US, GB, DE, CA, and FR regions (USA, Great Britain,
Germany, Canada, and France, respectively), with up to 200
listed trending videos per day.
Each region’s data is in a separate file. Data includes the video
title, channel title, publish time, tags, views, likes and dislikes,
description, and comment count.
The data also includes a category_id field, which varies between regions.
To retrieve the categories for a specific video, find it
in the associated JSON. One such file is included for
each of the five regions in the dataset.
Analysis Topic #back to top
- Correlation between views, likes, and dislikes.
- Which month would have the most views?
- Occurrence of tags and the popularity of categories in each countries.
- Identifying the duration of trending of each category.
Views and Preference #back to top
Date and Views #back to top
Publish Date vs Views (Static Version)
The graph above is an interactive bar chart that compares total views of each Countries through 2006 to 2018. Since the data is incompleted and missing many date, you may observe a lot of empty space in the years before 2013.
Trending Date vs Views
Here is a completed comparsion of total views in each country from the end of 2017 to current date. To aviod most uncertainties and errors, we extracted the most integrated data through the dataset and made bar chart to observe the differences in views.
