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This dataset is designed for dashboard creation practice for analysts and data visualization learners. It simulates retail store sales data and helps you:

  • Analyze regional performance
  • Compare product categories over sales
  • Understand customer and payment trends
  • Track key KPIs like revenue, average discount, and number of items sold
  • Segment data by customer types and payment modes

It is ideal for creating Power BI, Tableau, or Excel dashboards, where you can:

  • Use filters and slicers for categorical fields
  • Create bar, pie, and line charts for sales trends
  • Use KPIs and scorecards for numerical summaries
  • Build dashboards for stakeholder insights

Here is a Dashboard that is Created using this Dataset:

Retail Sales Analysis - By Customer Type

To get the dataset : https://github.com/slidescope/data/blob/master/Slidescope_Retail_Store_Sales_Enhanced_2025.csv

To get the Power BI File Contact Us

๐Ÿงพ Columns Overview:

Field NameTypeDescription
Transaction_IDID (Unique)Unique identifier for each sales transaction
Store_RegionCategoricalRegion of the store (North, South, East, West)
Product_CategoryCategoricalType of product sold (Electronics, Apparel, Grocery, Furniture)
Payment_MethodCategoricalPayment mode (Cash, Credit Card, UPI, Wallet)
Customer_TypeCategoricalCustomer category (New, Returning, Member, Guest)
Sales_AmountNumericalTotal sale amount in INR
Discount_PercentNumericalDiscount applied in %
Items_SoldNumericalNumber of items sold in the transaction

Here are the top calculated fields you can create:


๐Ÿ”ข 1. Gross_Amount

Formula:

Gross_Amount = Unit_Price * Items_Sold

Total amount before any discount.


๐Ÿ’ธ 2. Discount_Amount

Formula:

Discount_Amount = (Discount_Percent / 100) * Gross_Amount

Actual discount value in โ‚น.


โœ… 3. Net_Sales_Amount

Formula:

Net_Sales_Amount = Gross_Amount - Discount_Amount

The final amount after discount โ€” this becomes your revenue.


๐Ÿ’ฐ 4. Average_Price_Per_Item

Formula:

Average_Price_Per_Item = Net_Sales_Amount / Items_Sold

Useful for understanding price trends after discounts.


๐Ÿ“Š 5. Effective_Discount_Per_Item

Formula:

Effective_Discount_Per_Item = Discount_Amount / Items_Sold