Spotify Long Hits Dataset (2014-2024)

Description

It begins with a simple curiosity: what kind of music do people stay with for a long time? Between 2014 and 2024, Spotify quietly accumulated thousands of tracks that don’t rush to finish—soundscapes meant to accompany study sessions, meditation, sleep, rituals, and deep focus. This dataset captures a curated slice of that world: long-duration Spotify tracks that stretch far beyond the typical three-minute song, telling a story not through verses and choruses, but through time, atmosphere, and endurance.

Overview

The dataset contains 816 Spotify tracks, each represented by a unique track ID, track name, artist name(s), and duration in minutes. It is suitable for analyzing trends in long-form audio, studying duration distributions, identifying prominent artists, and exploring how extended listening content has evolved over time.

Analytical Observations

Analytically, this dataset is well-suited for exploring listening behavior patterns, identifying dominant categories of long-duration content, analyzing duration distributions, and studying how extended audio formats have evolved over a decade. Its clean structure and minimal but meaningful features make it ideal for exploratory data analysis, visualization, clustering by duration or artist type, and as a foundation for recommendation or content strategy research focused on non-traditional music consumption.

Acknowledgement

Ethically Mined Data: This dataset has been compiled with strict adherence to ethical data mining practices, utilizing Spotify's public API in full compliance with their guidelines. It represents a harmonious blend of technology and creativity, showcasing the vast musical archive that Spotify offers.

Gratitude is extended to Spotify for the data provided and the usage of their logo in the dataset thumbnail, which adds a recognizable visual cue to this academic resource. This dataset stands as a testament to the power of music and data combined, inviting exploration into the depths of musical analysis.