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SQL-Python-Ecommerce-Project

This project demonstrates the end-to-end data analysis process using SQL and Python. It involves data extraction using SQL, followed by data cleaning, transformation, and analysis using Python libraries such as Pandas, Matplotlib, and Seaborn. The goal is to generate meaningful insights from raw data and visualize key patterns and trends.

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This project demonstrates the end-to-end data analysis process using SQL and Python. It involves data extraction using SQL, followed by data cleaning, transformation, and analysis using Python libraries such as Pandas, Matplotlib, and Seaborn. The goal is to generate meaningful insights from raw data and visualize key patterns and trends.

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