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Spotify Wrapped Dashboard: Visualizing Music Listening Habits

January 27, 20255 min read
Entertainment
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Spotify Wrapped Dashboard

Spotify Wrapped Dashboard Visualization

Introduction

Spotify Wrapped has become a cultural phenomenon, offering users a personalized year-in-review of their listening habits. This project transforms personal Spotify Wrapped data into an interactive dashboard that provides deeper insights into music preferences, listening patterns, and genre exploration over time.

Project Overview

This dashboard visualizes listening data from Spotify, including top artists, songs, genres, and listening habits throughout the year. By analyzing this data, users can gain insights into their music preferences, discover patterns in their listening behavior, and compare their habits with broader trends.

Dataset Overview

The dataset includes personal listening data exported from Spotify, covering:

  • Streaming history (timestamps, track names, artists)
  • Top artists and tracks by listening time
  • Genre classifications
  • Listening sessions and patterns
  • Audio features of tracks (tempo, energy, danceability, etc.)
Sample of the dataset

Sample of the Spotify listening data

Key Questions Explored

This analysis seeks to answer several questions about personal music listening habits:

  1. How do listening habits change throughout the day, week, and year?
  2. What genres dominate at different times and in different contexts?
  3. How diverse is the music consumption in terms of artists and genres?
  4. What audio features (tempo, energy, etc.) characterize favorite tracks?
  5. How do listening patterns compare to broader Spotify user trends?

Project Details

Category

Entertainment

Date

January 27, 2025

Tools Used

Power BI
Python
Spotify API

Key Metrics

Tracks Analyzed

2,500+

Listening Hours

1,200+

Unique Artists

450+

Genres Explored

35

Feature Highlights

  • Temporal listening pattern analysis
  • Genre distribution visualization
  • Audio feature exploration
  • Artist discovery tracking
  • Comparative trend analysis