Big Data and Analytics for YouTube Content Analysis Report

This report presents a comprehensive analysis of a YouTube dataset using IBM Watson Analytics. The analysis explores various aspects of the data, including the number of videos, categories, countries, and channels. The report utilizes dashboards and advanced insights to identify trends in video uploads, viewership, likes, and dislikes. Key findings include the most viewed categories, popular videos, and the busiest upload times. The report also provides recommendations for the ABC online multimedia company, focusing on improving content quality, encouraging uploads from specific countries, and minimizing video dislikes. The analysis covers data from 2006 to 2018, offering insights into the evolution of YouTube content. The report concludes with a reflection on the Watson Analytics tool, highlighting its advantages and disadvantages for data analysis.