Spotify Data Analytics

Overview

This exploratory data analysis project studies a Spotify tracks dataset to identify music trends and popularity patterns. The analysis focuses on audio feature distributions (danceability, loudness, speechiness), how popularity correlates with specific features, top artists and genres by stream count, and tempo trends across decades — all done without using the Spotify API, relying purely on CSV data and Python.

Key Features

• Audio feature distribution analysis — danceability, loudness, speechiness
• Correlation heatmap between popularity and audio features
• Top artists and genres ranked by aggregate popularity
• Tempo trend analysis across music decades
• Seaborn and Matplotlib visualisations for all insights
• Pure CSV-based analysis — no API authentication required