https://github.com/abhijeet107/spotify-dashboard
A advanced POWERBI Project on Spotify History (2013-2024) Spotify Listening Data Analysis and Trends
https://github.com/abhijeet107/spotify-dashboard
dax-colums dax-expression dax-measures powerbi powerquery
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A advanced POWERBI Project on Spotify History (2013-2024) Spotify Listening Data Analysis and Trends
- Host: GitHub
- URL: https://github.com/abhijeet107/spotify-dashboard
- Owner: Abhijeet107
- Created: 2025-03-14T09:52:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-14T10:09:02.000Z (over 1 year ago)
- Last Synced: 2025-03-14T11:22:19.075Z (over 1 year ago)
- Topics: dax-colums, dax-expression, dax-measures, powerbi, powerquery
- Homepage:
- Size: 11.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Spotify Listening Data Analysis
This repository contains an analysis of Spotify listening habits, including metrics on albums, artists, tracks, and listening trends over time.
# Dashboard
---
## 📊 Key Metrics
| Category | Total Count | LY vs PY Change | Total Listening Time (ms) | Avg Listening Time (min) |
|----------------|-----------------|--------------------|---------------------------|--------------------------|
| **Albums** | 7,907 | 1,824 vs 2,333 (-21.62%) | 19,229,530,935 | 2.14 |
| **Artists** | 4,112 | 1,071 vs 1,436 (-20.39%) | - | - |
| **Tracks** | 13,665 | 3,568 vs 4,031 (-11.49%) | - | - |
---
## 🎵 Top 5 Rankings
### Albums
1. **The Beatles** – 2,083 plays
2. **Past Masters** – 1,672 plays
3. **Abbey Road** – 1,429 plays
4. **The Wall** – 1,241 plays
5. **Revolver** – 1,038 plays
### Artists
1. **The Beatles** – 13.6K plays
2. **The Killers** – 6.9K plays
3. **John Mayer** – 4.8K plays
4. **Bob Dylan** – 3.8K plays
5. **Paul McCartney** – 2.7K plays
### Tracks
1. **One To The...** – 207 plays
2. **In the Blood** – 181 plays
3. **Dying Bread** – 165 plays
4. **Caution** – 164 plays
5. **19 Dias y 50...** – 148 plays
---
## 🕒 Listening Habits
### Peak Hours & Days
- Data tracked across hours (0–23) and days (Mon–Sun).
- **Notable Entries**:
- 1,294 tracks played at Hour 3.
- Highest listening frequency: **200–150 plays** (Track Frequency).
- Average listening time per track: **10–80 minutes**.
### Album Insights
- **Most Played Genres**: Classical (*Mozart Symphonies*), Rock (*Terrapin Station*), Jazz (*Blue Train*).
- **Unique Albums**: *The Sound of Belgium Vol. 3*, *Wakin On A Pretty Daze*, *Strauss: Die Fledermaus*.
---
## 📉 Year-over-Year Trends
- **Albums**: 21.62% decrease in plays compared to the previous year.
- **Artists**: 20.39% decrease in artist engagement.
- **Tracks**: 11.49% decline in track plays.
---
## 📂 Data Structure
1. **Listening Hours vs Days**: Hourly and daily listening distribution.
2. **Album Details**: Titles, play counts, and listening time metrics.
3. **Track & Artist Stats**: Top performers and frequency analysis.
*Note: "ms_played" refers to total milliseconds of playback. For example, 19,229,530,935 ms ≈ 222 days.*
## Special Thanks
https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqazUyaVRfRnlaUHdTdS01RG02a2NVb2E0Q1I2QXxBQ3Jtc0tud0tNNXBEMGd0SXZGQjZNUVc2UjYzbGJEWkZTa1ltVFdhM2xOMWt1ck81XzVyOHA3SndDQ2RWdUFHUi13WVhMd2xzSzZ6dEg4NTVvMzJ4d2ZVZVF3blJuTkdHdnhGSzh3ZUVNMzdBTG1jd1hkV1BRSQ&q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fswapnjeet-s-58a673273&v=TelcpllqbBc
---
🔍 For raw data tables and visualizations, refer to the uploaded screenshots.