{"id":26324891,"url":"https://github.com/abhijeet107/spotify-dashboard","last_synced_at":"2026-01-03T02:06:07.920Z","repository":{"id":282386939,"uuid":"948416984","full_name":"Abhijeet107/Spotify-Dashboard","owner":"Abhijeet107","description":"A advanced POWERBI Project on Spotify History (2013-2024) Spotify Listening Data Analysis and Trends","archived":false,"fork":false,"pushed_at":"2025-03-14T10:09:02.000Z","size":12286,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-14T11:22:19.075Z","etag":null,"topics":["dax-colums","dax-expression","dax-measures","powerbi","powerquery"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Abhijeet107.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-14T09:52:44.000Z","updated_at":"2025-03-14T10:09:05.000Z","dependencies_parsed_at":"2025-03-14T11:32:32.304Z","dependency_job_id":null,"html_url":"https://github.com/Abhijeet107/Spotify-Dashboard","commit_stats":null,"previous_names":["abhijeet107/spotify-dashboard"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FSpotify-Dashboard","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FSpotify-Dashboard/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FSpotify-Dashboard/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FSpotify-Dashboard/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Abhijeet107","download_url":"https://codeload.github.com/Abhijeet107/Spotify-Dashboard/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243774012,"owners_count":20345946,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dax-colums","dax-expression","dax-measures","powerbi","powerquery"],"created_at":"2025-03-15T18:29:08.950Z","updated_at":"2026-01-03T02:06:07.880Z","avatar_url":"https://github.com/Abhijeet107.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Spotify Listening Data Analysis  \nThis repository contains an analysis of Spotify listening habits, including metrics on albums, artists, tracks, and listening trends over time.  \n\n# Dashboard\n![Screenshot 2025-03-14 152302](https://github.com/user-attachments/assets/a7fd6a23-d315-436a-acaa-c6fa0e15931e)\n\n![Screenshot 2025-03-14 152313](https://github.com/user-attachments/assets/b76ecaca-0b8b-477c-bc6b-dcc61f8f1382)\n\n![Screenshot 2025-03-14 152325](https://github.com/user-attachments/assets/6b7f886b-575c-436c-90fa-f3300e1c00f9)\n\n---\n\n## 📊 Key Metrics  \n| Category       | Total Count     | LY vs PY Change    | Total Listening Time (ms) | Avg Listening Time (min) |  \n|----------------|-----------------|--------------------|---------------------------|--------------------------|  \n| **Albums**     | 7,907           | 1,824 vs 2,333 (-21.62%) | 19,229,530,935       | 2.14                     |  \n| **Artists**    | 4,112           | 1,071 vs 1,436 (-20.39%) | -                       | -                        |  \n| **Tracks**     | 13,665          | 3,568 vs 4,031 (-11.49%) | -                       | -                        |  \n\n---\n\n## 🎵 Top 5 Rankings  \n### Albums  \n1. **The Beatles** – 2,083 plays  \n2. **Past Masters** – 1,672 plays  \n3. **Abbey Road** – 1,429 plays  \n4. **The Wall** – 1,241 plays  \n5. **Revolver** – 1,038 plays  \n\n### Artists  \n1. **The Beatles** – 13.6K plays  \n2. **The Killers** – 6.9K plays  \n3. **John Mayer** – 4.8K plays  \n4. **Bob Dylan** – 3.8K plays  \n5. **Paul McCartney** – 2.7K plays  \n\n### Tracks  \n1. **One To The...** – 207 plays  \n2. **In the Blood** – 181 plays  \n3. **Dying Bread** – 165 plays  \n4. **Caution** – 164 plays  \n5. **19 Dias y 50...** – 148 plays  \n\n---\n\n## 🕒 Listening Habits  \n### Peak Hours \u0026 Days  \n- Data tracked across hours (0–23) and days (Mon–Sun).  \n- **Notable Entries**:  \n  - 1,294 tracks played at Hour 3.  \n  - Highest listening frequency: **200–150 plays** (Track Frequency).  \n  - Average listening time per track: **10–80 minutes**.  \n\n### Album Insights  \n- **Most Played Genres**: Classical (*Mozart Symphonies*), Rock (*Terrapin Station*), Jazz (*Blue Train*).  \n- **Unique Albums**: *The Sound of Belgium Vol. 3*, *Wakin On A Pretty Daze*, *Strauss: Die Fledermaus*.  \n\n---\n\n## 📉 Year-over-Year Trends  \n- **Albums**: 21.62% decrease in plays compared to the previous year.  \n- **Artists**: 20.39% decrease in artist engagement.  \n- **Tracks**: 11.49% decline in track plays.  \n\n---\n\n## 📂 Data Structure  \n1. **Listening Hours vs Days**: Hourly and daily listening distribution.  \n2. **Album Details**: Titles, play counts, and listening time metrics.  \n3. **Track \u0026 Artist Stats**: Top performers and frequency analysis.  \n\n*Note: \"ms_played\" refers to total milliseconds of playback. For example, 19,229,530,935 ms ≈ 222 days.*  \n\n## Special Thanks\nhttps://www.youtube.com/redirect?event=video_description\u0026redir_token=QUFFLUhqazUyaVRfRnlaUHdTdS01RG02a2NVb2E0Q1I2QXxBQ3Jtc0tud0tNNXBEMGd0SXZGQjZNUVc2UjYzbGJEWkZTa1ltVFdhM2xOMWt1ck81XzVyOHA3SndDQ2RWdUFHUi13WVhMd2xzSzZ6dEg4NTVvMzJ4d2ZVZVF3blJuTkdHdnhGSzh3ZUVNMzdBTG1jd1hkV1BRSQ\u0026q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fswapnjeet-s-58a673273\u0026v=TelcpllqbBc\n\n---  \n🔍 For raw data tables and visualizations, refer to the uploaded screenshots.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhijeet107%2Fspotify-dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhijeet107%2Fspotify-dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhijeet107%2Fspotify-dashboard/lists"}