Spotify's Long Hits (2014-2024) 🎶

This dataset, "Spotify's Long Hits (2014-2024) 🎶," offers a unique collection of over 800 tracks, each standing out for its extended playtime, marking the years from 2014 to 2024. It serves as a unique lens through which the evolution of musical duration and listener preferences can be observed over a significant period. Each track in this dataset not only surpasses the conventional lengths but also encapsulates the essence of its time, making it a valuable resource for in-depth musical analysis.

Data Science Applications:
The dataset's structure lends itself to various analytical pursuits within the data science realm. Researchers and enthusiasts can delve into trend analysis to uncover shifts in musical durations over the years, perform genre-based studies to explore the relationship between genre and track length, or even train machine learning models to predict track popularity based on various features. However, make sure to use the dataset only for educational purposes as per Spotify guidelines.

Column Descriptors:

• ID: The unique identifier for each track on Spotify, facilitating direct access to the track.
• Name: The title of the track, revealing its identity.
• Duration (Minutes): The length of each track, provided in minutes, highlighting the extended nature of these compositions.
• Artists: The names of the artists involved, offering insights into the collaborative landscape of each piece.

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.