Project Title - Top 2000 songs of all Time on Spotify:An analysis

Analysis of data regarding the top 2000 songs on Spotify will be analyzed in this course project. This dataset was obtained from kaggle.com and consists of attributes like Danceability, BPM, Liveness, Valence(Positivity) and many more.

The course ' Data Analysis with Python: Zero to Pandas' has led me to attempt this project. It has taught me to use python and libraries such as numpy and pandas for data analysis.

Downloading the Dataset

The dataset will be downloaded here on top 2000 songs on Spotify.

Instructions for downloading the dataset (delete this cell)

Find an interesting dataset on this page: https://www.kaggle.com/datasets?fileType=csv

The data should be in CSV format, and should contain at least 3 columns and 150 rows

Download the dataset using the opendatasets Python library

!pip install jovian opendatasets --upgrade --quiet

Let's begin by downloading the data, and listing the files within the dataset.