This project involves the analysis of a dataset from Spotify, a popular music streaming platform. The dataset contains various attributes related to songs, including details about the track, artist(s), release date, streaming statistics, audio features (e.g., danceability, valence, energy), and more.

I have explored relationships between various attributes, identify trends over time, and showcased the distribution of songs across different categories using Microsoft Power BI. By doing so, my aim is to provide a comprehensive view of the dataset, enabling informed decisions and deeper insights into the world of music streaming.