Data Transformation and Flattening to CSV Format

In this project, I transformed raw structured data into a tabular format (CSV). The dataset was processed and flattened to make it suitable for analysis and storage.

Flattening the data helped convert nested or complex structures into a simple table format where each row represents a record and each column represents a specific attribute.

This process is commonly used in data engineering and data preprocessing to prepare datasets for analysis and machine learning workflows.

Tools used: Python, Pandas, CSV data processing.