A comprehensive Tableau dashboard showcasing key insights into the Global Superstore dataset. This project provides a detailed analysis of sales, profit, shipping performance, and regional trends.
- Sales Analysis: Track total sales, profit, and revenue trends over time.
- Regional Performance: Visualize geographical sales distribution and identify high-performing regions.
- Category Insights: Analyze product categories and sub-categories contributing to sales and profits.
- Shipping Efficiency: Evaluate shipping delays and their impact on customer satisfaction.
- Interactive Filters: Drill down into data by region, category, and time period for detailed insights.
- Tableau: For interactive visualizations and dashboard creation.
- Global Superstore Dataset: Source data containing sales, customer, and shipping details.
- Download or clone this repository.
- Open the Tableau workbook file (
Global_Superstore.twbx). - Explore the dashboard using interactive filters and views.
The dataset includes:
- Orders: Sales, quantity, and profit details.
- Customers: Customer demographics and purchasing patterns.
- Shipping: Shipment modes and delivery performance.
- Regions: Regional performance metrics.
- Overview Dashboard: High-level KPIs and trends.
- Category Insights: Bar charts and trend lines for category analysis.
- Shipping Details: Delivery performance metrics.
Tableau.Public.-.book.5.2025-01-10.16-57-52.mp4
- Highest profit was made in central region because of highest sale quantity.
- Among the shipmode, it is getting maximum sales from Standard class and Technology is getting maximum sales from Standard class.
- The highest sales of every year if i divided queterly, sales are showing last three months in every year.
- compared to the last few year's, Sales and profits are increasing now.
- Tableau for providing powerful data visualization tools.
- Global Superstore dataset for enabling rich data insights.
Contributions are welcome! Feel free to submit issues or pull requests.
- 🌐 GitHub Profile
- 📧 Email:[email protected]
- LinkedIn: Linkedin_link