Скачать или смотреть Last (Part -5) E-Commerce Data Analysis and Visualization using Python

This project focuses on analyzing and visualizing sales and profit data from an e-commerce store using Python. The dataset (Sample Superstore) is cleaned and processed to uncover meaningful insights. Various libraries such as Pandas, Matplotlib, Seaborn, and Plotly are used to perform data analysis and create interactive visualizations.

The project includes:

Data cleaning and preprocessing for accuracy.

Monthly sales and profit trend analysis.

Category and sub-category wise sales & profit performance.

Customer segmentation analysis.

Sales-to-Profit ratio calculation.

Forecasting next month’s profit using visualization.

Interactive dashboards for better decision-making.

This project helps demonstrate how Python can be used to understand business performance, identify high/low performing products, and support strategic decisions in an e-commerce environment.

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