Exploratory Data Analysis on YouTube data || EDA || Python & Pandas
In this video, I dive into an analysis of YouTube data using Python and pandas to extract key insights. The analysis focuses on various performance metrics for keywords and videos. Here are the objectives we tackle:
Objectives:
Which keyword has the highest number of videos?
Which keyword has the most likes?
Which keyword has the most comments?
Which keyword has the most views?
We also explore some fascinating details, including:
Which video holds the highest likes record?
Which video has the most comments?
Which video has garnered the most views?
Top 5 Lists:
Top 5 most liked videos
Top 5 most commented videos
Top 5 most viewed videos
Finally, we’ll reveal the top video of all time in terms of overall performance. Whether you're a content creator, data analyst, or just curious about YouTube trends, this analysis offers valuable insights into how certain keywords and videos perform in terms of engagement metrics.
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