Create a workbook named:

Business_Dataset_Cleaning.xlsx

Raw Dataset

Order ID

Date

Customer

City

Product

Category

Qty

Sales

Payment

O101

01-Sep-26

Amit

Sirsa

Laptop

Electronics

2

120000

Paid

O102

02-Sep-26

Neha

sirsa

Mouse

accessories

10

5000

Paid

O103

03-Sep-26

Rahul

Hisar

Laptop

Electronics

3

180000

Pending

O104

04-Sep-26

Priya

Fatebad

Keyboard

Accessories

8

6400

Paid

O105

05-Sep-26

Amit

Sirsa

Monitor

Electronics

4

34000

Paid

O105

05-Sep-26

Amit

Sirsa

Monitor

Electronics

4

34000

Paid

O106

06-Sep-26

 

Hisar

Webcam

Accessories

4

10000

Pending

O107

07-Sep-26

Simran

HISAR

Laptop

electronics

1

60000

Paid

O108

08-Sep-26

Rahul

Sirsa

Mouse

Accessories

15

7500

Paid

Project Tasks

  1. Sort data by Sales.
  2. Filter Sirsa records.
  3. Apply advanced filtering.
  4. Remove duplicate Order IDs.
  5. Standardize City names.
  6. Standardize Category names.
  7. Remove extra spaces using TRIM.
  8. Identify blank Customer values.
  9. Handle missing data.
  10. Create Payment drop-down.
  11. Apply Conditional Formatting.
  12. Highlight Sales > ₹50,000.
  13. Convert data into an Excel Table.
  14. Create named ranges.
  15. Check formula/data errors.
  16. Prepare a final Clean Business Dataset.
  17. Create a small summary showing:
    • Total Sales
    • Number of Orders
    • Highest Sale
    • Lowest Sale
    • Pending Payments