Spotify Dashbord Web App

This web app made with python + pandas + streamlit. This app uses the user's listening data which is downloaded from the spotify website.

Clone this repository to run the web app by running these following commands:

# To install streamlit library
pip install streamlit

# To open the streamlit web app in your browser
streamlit run 1_🗒️_README.py

Process:

1. Download the requested data from spotify. And merge similar files.
2. Also delete credential files. Some files may contains your spotify login ID.

# File Structure:
.
├── 1_🗒️_README.py
├── README.md
├── __init__.py
├── data_files
│   ├── AllPlaylists.json
│   ├── ListeningHistory.json
│   └── unorganized_data
│       ├── Playlist1.json
│       ├── Playlist2.json
│       ├── StreamingHistory1-0.json
│       ├── StreamingHistory1-1.json
│       ├── StreamingHistory2-0.json
│       └── StreamingHistory2-1.json
├── manage_data_file.py
└── pages
    ├── 2_💬_Overview.py
    ├── 3_🗂️_Playlist.py
    └── 4_🎙_Songs & Artists.py

3. Did some EDA on ListeningHistory.json files to get some MoM and YoY insights.
4. On AllPlaylists.json files:
   1. Import the file with pd.read_json().
   2. Normalize it with pd.normalize_json(data, record_path, record_prefix, meta, meta_prefix).
   3. Then drop some blank columns.
   4. Finally, apply pd.merge() to merge the df on 'name' column.

---

Created by arv-anshul

• I first did some analysis on this data with jupyter notebook about 6 months ago.
• But now I learned the streamlit (a python library which helps to create web apps).
• Then, I created this my spotify listening data dashboard with streamlit.