Implementasi Exploratory Data Analysis Pada Dataset Video Trending Harian YouTube

Abstract

YouTube is a video sharing website that allows its users to interact through videos created by video creators (YouTubers).
Videos on YouTube can go to the 'Trending' tab that shows videos that are considered trending by YouTube. The YouTube Help
website says that they use many parameters to determine trends. However, YouTube does not specify exact parameters and numbers.
Therefore, data analysis was performed on video datasets in three countries namely Canada, the United Kingdom and the United
States using the Exploratory Data Analysis method. Data processing was carried out with Pandas and data was visualized with the
Matplotlib, Seaborn, Bokeh, and WordCloud libraries. Work starts from normalizing categorical data, changing the shape of the data
into the desired form, visualizing the data, and taking meaning from the information generated from exploration and visualization
results. The results of exploration and visualization of data in the form of boxplots, bar charts, line plots, and word clouds show
patterns in the categories and tags contained in videos that discuss trends in the three countries.