Superstore Analysis Project
- Performed exploratory data analysis (EDA) using Python and Pandas to identify trends in sales, profit, and product.
- Visualized key insights with Matplotlib, including regional sales performance, top-selling categories, and profit distribution across products.
- Analyzed and segmented data with SQL queries to extract actionable insights from orders, customers, and products.
- Cleaned and preprocessed the raw dataset in Python, handling missing data, duplicates, and formatting inconsistencies accurate analysis.
- Developed reports and visual summaries to highlight sales trends, top-performing regions, and product profitability for Data-driven decision-making.
- Managed project code with GitHub, ensuring version control, reproducibility, and easy collaboration.
- Github: https://github.com/jmartinez05-spec/Superstore-Dataset-.git
