Local Bands Unplugged: A Data Science Approach to Musical Analysis with Tableau
In this project, I set out to delve into the musical journey of Greek bands, with a focus on Diafana Krina, an alternative rock band. My goal was to uncover their narrative, understand how their music evolved over time, and gain insights into the emotional dynamics of their live performances. I aimed to achieve this by utilizing Spotify's API and leveraging Tableau for a comprehensive analysis.
- Data Gathering: I collected audio features data from Spotify's API, while also sourcing information about live performances from Setlist.fm and YouTube.
- Data Preparation: Cleaned and processed the collected data to create a cohesive dataset for analysis.
- Exploring the Data: Using Tableau, I conducted various analyses to address questions regarding the band's album popularity, live performances, and correlations between audio features.
- Visual Representation: I designed interactive visualizations in Tableau to present insights on album popularity trends, live performance history, track characteristics, and audio feature correlations.
- Generating Insights: By examining the relationships between audio features and album popularity, I was able to extract valuable insights into track success and emotional trends during live performances.
- Music Industry Insights: This project contributes to the music industry's understanding of the impact of audio features and performance dynamics on a band's evolution and audience engagement.
- Engaging Fans: The visualizations provide fans with a deeper connection to the band's journey, offering insights into emotional nuances.
- Informed Decision-Making: The project underscores how data analysis can inform strategic decisions in areas such as marketing, album releases, and live performances.
- Access the visualizations by opening this Tableau link.
- Interact with the visualizations to explore different aspects of the band's evolution and performance history.
- Modify and adapt the methodologies to analyze other bands or musical genres of your interest.
In the medium article , you'll get an in-depth look at the methodologies I used, the objectives I set out to achieve, and the exciting discoveries I made along the way.
Feel free to reach out if you have any questions or thoughts to share!
Data analyst & Storyteller ┃ Pattern discoverer