Song Stats is a Java-based music analysis tool that processes and analyzes song data stored in CSV files. It enables users to compare songs, analyze similarities, and manage music data efficiently.
🎮 Features
CSV Data Management: Read and write song data using CSV files.
Song Similarity Calculation: Compare songs based on their attributes.
User Data Tracking: Store and analyze user interactions with songs.
🔧 Technologies Used
Language: Java
Data Storage: CSV files
Core Components:
CSVReader.java - Reads song data from CSV files.
CSVWriter.java - Writes processed data to CSV files.
SimilarityCalculator.java - Computes similarity between songs.
Song.java - Represents song attributes.
User.java - Manages user-related song data.
🚀 How to Run
Clone the repository:
git clone https://github.com/yourusername/Song-Stats.git
Navigate to the project folder:
cd Song-Stats
Compile and run the program:
javac Main.java
Calculating similarity: java Main <input.csv> <output.csv> <-u> Calculating standard deviation: java Main <input.csv> <output.csv>
📌 Future Enhancements
Integration with streaming APIs to fetch real-time music data.
GUI implementation for better user interaction.
Advanced similarity algorithms to improve recommendations.
📬 Contributing
Interested in contributing? Feel free to fork the repository and submit a pull request!
📜 License
This project is open-source and available under the MIT License.
Enjoy analyzing music with Song Stats! 🎶📊