This project aims to provide insights into Spotify's music data, focusing on aspects like track popularity and artist metrics.
The data for this project was collected from Spotify's API.
For the purpose of learning, this project utilizes three different databases:
- MySQL: Used for structured data storage and management.
- MongoDB: Employed for flexible and schema-less data storage.
- Neo4j: Utilized for graph database capabilities.
- Data collection and preprocessing.
- Exploratory data analysis (EDA).
- Visualizations to represent insights.
- Linear regression models for trend analysis.
- Recommendations for actionable insights.