This project focuses on Excel formatting, data validation, and conditional formatting to improve the readability and analysis of the Superstore dataset. It’s designed as an assignment to build visual insights and ensure data quality using Excel's built-in tools.
📊 Based on: Sample Superstore Dataset
- Use Format Painter for consistent header formatting.
- Apply number formatting:
Quantity: Integer (no decimals)Discount: Percentage with 2 decimal placesOrder Date: Format asMMMM YYYY(e.g., January 2022)
- Add new column: Category Filter
→ Dropdown options:Furniture,Office Supplies,Technology - Validation on
Sales:- Only allow values > 100
- Error Alert:
"Sales amount must be greater than 100."
- Profit column:
- Orange fill for values between -100 and 0
- Red fill + Bold font for values < -100
- Sales column:
- Top 10% sales highlighted in light green fill
- Quantity column:
- Traffic Lights:
- Green: Quantity > 10
- Yellow: 5 ≤ Quantity ≤ 10
- Red: Quantity < 5
- Traffic Lights:
- Profit column:
- Data Bars (Gradient Fill) for quick visual insight
- Discount column:
- Positive values:
Discount: 0.00% - Negative values:
Extra Charge: 0.00%(in red)
- Positive values:
- Quantity column:
- Format:
"Qty:" 0(e.g., Qty: 12)
- Format:
Conditional Formatting Project.xlsx— Excel-compatible versionGoogle Drive.— Contains Google Sheets link
Sample sales dataset inspired by Superstore data (commonly used in Excel/Power BI/EDA practice) (SuperStore Dataset: https://coding-platform.s3.amazonaws.com/dev/lms/tickets/cd7f183f-9826-4b1b-b7a0-a109dbfe0327/rVqpcxcZPugeVIdZ.csv)
📌 Some formatting rules like icon sets or data bars may appear differently in Excel compared to Google Sheets. For the most accurate view, prefer the Google Sheets version.
- Excel formatting & layout control
- Data validation for clean entry
- Visual data analysis using conditional formatting
- Custom number formatting for better readability
Excel Data Validation Conditional Formatting Spreadsheet Design Visualization