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ANALYSIS ON TOP SPOTIFY SONGS 2023

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Description of Dataset

This dataset contains a comprehensive list of the most famous songs of 2023 as listed on Spotify. The dataset offers a wealth of features beyond what is typically available in similar datasets. It provides insights into each song's attributes, popularity, and presence on various music platforms. The dataset includes information such as track name, artist(s) name, release date, Spotify playlists and charts, streaming statistics, Apple Music presence, Deezer presence, Shazam charts, and various audio features.

Goal of the project

In this projet, We're going to explore these Songs in order to understand and find insights. We're going to see what was the characteristics of this songs.

Tools used

  • Pandas for data manipulation.
  • Numpy for numeric calculation.
  • Seaborn and Matplotlib for visualization.

About Spotify

Spotify is a popular music streaming service, offering a vast library of tracks and podcasts. Users can listen for free with ads or subscribe for an ad-free experience. It's accessible on various devices, providing convenient music enjoyment.

!pip install jovian opendatasets --upgrade --quiet

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

# Top Spotify Song url
dataset_url = 'https://www.kaggle.com/datasets/nelgiriyewithana/top-spotify-songs-2023'