Spotify Top Songs Analysis

Project Description

The Spotify Analysis Dashboard is a robust application built using Python and Streamlit, designed to provide users with detailed insights into their Spotify usage and music preferences. Leveraging Spotify's API and a range of powerful data visualization libraries, this dashboard offers a comprehensive view of your top songs, artists, genres, and more.

Key Features

Top Song Analysis: Explore your favorite tracks categorized into short-term, medium-term, and long-term periods. Each track's audio features such as danceability, energy, and valence are analyzed and visualized using interactive bar charts.
Market Comparison: Gain insights into Spotify's stock performance over time, compared with other major music platforms. This feature uses Yahoo Finance data and presents the data with interactive line charts.
Artist Insights: Discover your followed and recently played artists, along with details about their top tracks and albums. Artist profiles include images and direct links to Spotify for further exploration.
Genre Visualization: Visualize your top genres using interactive pie charts and bar graphs. This feature aggregates data from your top artists' genres, providing a clear picture of your music preferences.
User Profile: Display your Spotify user profile details, including the currently playing track, recently played tracks, total listening time, and other relevant information.

Technologies Used

Python Libraries: Spotipy, Streamlit, Altair, Plotly, Pandas
Data Sources: Spotify API for music data, Yahoo Finance API for stock data
Frontend: HTML and CSS for custom styling to enhance user experience

Installation

Prerequisites

Python 3.6 or higher
Spotify Developer Account to get the necessary API credentials (Client ID and Client Secret)

Steps

Clone the repository

git clone https://github.com/DharaniIlango/Spotify_Analysis
cd Spotify_Analysis

Install the required dependencies
```
pip install -r requirements.txt
```

Set up Spotify API credentials -> Add your Spotify API credentials:

SPOTIPY_CLIENT_ID='your_client_id'
SPOTIPY_CLIENT_SECRET='your_client_secret'
SPOTIPY_REDIRECT_URI='your_redirect_uri'

Run the Streamlit application
```
streamlit run main.py
```

Project Structure

Spotify_Analysis/
│
├── main.py                 # Main application file
├── requirements.txt        # Python dependencies
├── .streamlit
│     └──config.toml        # Cofiguration File (included in the repo, needs to be initialized)
└── README.md               # Project documentation

Contact

For any questions or suggestions, feel free to contact me at dharaniilango1209@gmail.com