Big Data Analysis with Python
Project Video available on YouTube - https://youtu.be/xqtbBosGMl0
Download Dataset - https://www.kaggle.com/datasets/rohitgrewal/spotify-youtube-data_
In this project, we have analysed the big dataset of Spotify & YouTube. There are multiple questions given that we answered with Python.
Q.1) Top 10 Artists - with the Highest Views on YouTube?
Q.2) Top 10 Tracks - with the Highest Streams on Spotify?
Q.3) What are the most common Album Types on Spotify? How many tracks belong to each album type?
Q.4) How do the Average Views, Likes, and Comments are compared between different Album Types?
Q.5) Top 5 YouTube Channels - based on the Views?
Q.6) The Top Most Track - based on Views?
Q.7) Which Top 7 Tracks have the highest Like-to-View ratio on YouTube?
Q.8) Top Albums having the Tracks with Maximum Danceability ?
Q.9) What is the Correlation between Views, Likes, Comments, and Stream?