An interactive multi-page Power BI dashboard built on the Kaggle Superstore dataset, providing business insights across sales performance, geography & products
The Superstore dataset is a widely used fictional US retail dataset available on Kaggle. It contains ~9,994 orders placed between 2014 and 2017 across three product categories (Furniture, Office Supplies, and Technology) sold to customers in the Consumer, Corporate, and Home Office segments.
Key fields include: Order & ship dates, shipping mode, customer info, region/state/city, product category & sub-category, sales, quantity, discount, and profit.
It's commonly used for practicing data analysis, visualisation, and business intelligence projects, customers, and shipping.
- Python (Pandas) - data cleaning and preprocessing (
superstore.ipynb) - Power BI Desktop - dashboard design and visualisation
| Page | Purpose |
|---|---|
| Executive Overview | High-level KPIs |
| Geographic Performance | Regional and state-level performance across the US |
| Product Performance | Best and worst performing products and sub-categories |
| Customer Analysis | Top customers by revenue and profit, order behaviour |
| Shipping Analysis | Shipping modes, delivery times, and logistics trends |
- Clone or download this repository
- Open the Superstore Dashboard (PDF)
- The raw dataset was cleaned in Python before being loaded into Power BI - see
superstore.ipynbfor the preprocessing steps - All data is fictional and intended for practice/portfolio purposes only