Instead of laptops, your columns could be:
| City | Property Type | BHK | Area Sq Ft | Price | Location | Furnishing | Parking | Property Status |
|---|---|---|---|---|---|---|---|---|
| Bangalore | Apartment | 2 | 1100 | ₹65 Lakh | Whitefield | Semi-Furnished | Yes | Ready to Move |
| Bangalore | Apartment | 3 | 1450 | ₹92 Lakh | Electronic City | Furnished | Yes | Ready to Move |
| Hyderabad | Villa | 3 | 2200 | ₹1.4 Cr | Gachibowli | Unfurnished | Yes | Under Construction |
| Pune | Apartment | 2 | 950 | ₹58 Lakh | Hinjewadi | Semi-Furnished | Yes | Ready to Move |
| Mumbai | Apartment | 1 | 650 | ₹85 Lakh | Andheri | Furnished | No | Ready to Move |
This would allow MPG pages such as:
- 2 BHK Apartments in Bangalore
- 3 BHK Apartments in Whitefield
- Ready-to-Move Apartments in Bangalore
- Furnished Apartments in Electronic City
- Apartments Under ₹1 Crore in Bangalore
Other industries I can create MPG data for
- Real Estate ⭐ — best for demonstrating MPG
- Hotels
- Restaurants
- Cars
- Education / Courses
- Hospitals / Clinics
- Travel & Tours
- Jobs / Careers
- Interior Design
- Digital Marketing — different dataset from your existing one
If your purpose is to practice MPG and show the project to your trainer, I recommend Real Estate, because it has many combinations of attributes and makes the programmatic-page concept very clear.
I can also take your existing Excel structure and create a new Excel file with 100–500 realistic rows for a completely different industry, keeping the structure suitable for your MPG implementation.