YouTube Data Analysis and Prediction of Views and Categories

Description

YouTube is the second biggest search engine on the web and a platform with features where users can view, comment, and link to videos. YouTube has more than a billion active users where users can see Recommended Channels, which are based on videos that users watch frequently. Furthermore, Trending is based on video trending on the number of clicks the video gets every day. This study aims to provide insight into how understanding and implementation of Big Data on YouTube. In the current era, Big Data is gaining much interest because of the opportunities and benefits felt to be unprecedented. Big data analytics can leverage business change, enhance decision-making by applying advanced analytic techniques on big data and reveal hidden insights and valuable knowledge. To better understand the changes brought about by big data, this paper focuses on data analysis using data visualization. In analyse YouTube trending videos, we use tableau software to help visualize the data that has been obtained.