Understanding Streaming Success Through Spotify Analytics

Authors: Ure Sanath Kumar, Borkar Srikanth, Erukonda Mohan Manoj, Dr. Diana Moses

Abstract: The Top Spotify Songs in 73 Countries dataset provides a dynamic overview of global music trends by tracking the most popular songs across 73 countries daily. It includes key attributes such as song rank, track name, artist name, country, stream count, and ranking date, allowing for in-depth analysis of song popularity. Additionally, it contains song characteristics like danceability, energy, loudness, and valence, offering insights into musical trends and listener preferences. This dataset is particularly useful for music analysts, data scientists, and researchers aiming to explore streaming patterns, predict music trends, and analyze regional differences in music consumption. It can be leveraged for data visualization, trend analysis, machine learning models, and recommendation systems. Furthermore, businesses in the music industry can utilize this dataset to gain insights into audience preferences and optimize marketing strategies.