Data Cleaning and Analysis Project This project demonstrates a basic workflow for cleaning, transforming, and analyzing order/shipping data using Python (pandas & numpy).
Project Overview Load and explore raw data Handle missing values and inconsistent entries Convert data types and standardize fields Perform feature engineering (delivery days, status, domestic/international) Generate summary statistics and insights Export cleaned dataset for further analysis File Structure data/ - Raw data sample notebooks/ - Jupyter Notebook with step-by-step analysis output/ - Cleaned data and results Insights Average shipping cost by company Delivery status breakdown Top shipping companies Orders by country and city