This project involves analyzing sales, shipping, and profitability data from a fictional superstore. The insights derived from this analysis aim to help optimize operations, identify profitable areas, and understand customer trends.
This project uses real-world-style datasets to analyze key metrics, including:
- Sales performance across different regions and product categories.
- Profitability trends to identify profitable and unprofitable products.
- Shipping analysis to improve logistics and reduce costs.
Interactive dashboards and pivot tables are included to make it easy to explore insights visually.
- Orders Dataset: Analyze sales, discounts, shipping costs, and profits.
- Returns Dataset: Review and understand return patterns.
- Interactive Dashboards: Visualize sales and profitability trends.
- Pivot Tables: Summarize data for quick insights.
- Microsoft Excel: Data cleaning, pivot tables, and dashboards.
Below are some screenshots of the dashboards included in the project:
This project is licensed under the MIT License. See the LICENSE file for details.