Exploratory Data Analysis on YouTube data.

Context and Content:

In a fairly recent move by YouTube, it announced the decision to hide the number of dislikes from users around November 2021. However, the official YouTube Data API allowed you to get information about dislikes until December 13, 2021. Doing an EDA-exercise can help to draw some unseen insights from this dataset.

The information was collected by videos that had been trending in the USA, Canada, and Great Britain for a year prior.

Objective:

To do data analysis using python and explore the YouTube dislikes dataset using numpy and pandas libraries and drive meaningful insights by performing Exploratory data analysis.

Dataset Description:

YouTube Dislikes Dataset: This dataset contains information about trending YouTube videos from August 2020 to December 2021 for the USA, Canada, and Great Britain.

Dataset link:

https://www.kaggle.com/datasets/dmitrynikolaev/youtube-dislikes-dataset

Attribute Information:

Video ID: Unique video id.

Title: Video title.

Channel ID: Id of the channel.

Channel Title: Title of of the channel.

Published at: Video publication date.

View count: Number of views.

Likes: Number of likes.

Dislikes: Number of dislikes.

Comment count: Number of comments.

Tags: Tags(in one string).

Description: Video description.

Comments: 20 video comments(in one string).

GitHub Repository