Yes, the data has a geographic dimension (`City Location`, note the double space in the column name), and it is heavily concentrated in a few metros. The figures below come from the city breakdown query. It shows the top 25 values, which cover 2,928 of the 3,044 rows, so about 116 rows sit in less frequent locations not listed. **Concentration** - Bangalore has 700 deals (23.0%), Mumbai 567 (18.6%) and New Delhi 421 (13.8%). Gurgaon follows with 287 (9.4%). - Those four labels alone account for about 65% of all rows. - Pune (105), Hyderabad (99), Chennai (97) and Noida (92) form a second tier at roughly 3% each. - Below that is a long tail. Ahmedabad has 38, Jaipur 30, Kolkata 21, and Indore, Chandigarh, Vadodara and Goa about 10 each. Coimbatore and Kanpur have only a handful. - Singapore (8 rows) and "Pune / US" (4) show a few deals tied to locations outside India or to more than one place. **Data quality** - The same city appears under several spellings, so the raw counts understate the real concentration: - Bangalore (700) and Bengaluru (141) together make 841 deals, about 27.6% of rows. - Gurgaon (287), Gurugram (50) and "\xa0Gurgaon" (4, with a stray non-breaking space) together make 341, about 11.2%. - New Delhi (421) and Delhi (34) together make 455, about 14.9%. - Location is missing for 171 rows (5.6%), stored as the literal text "nan", and for another 6 rows as blank. That is about 177 rows (5.8%) with no usable location. **Takeaway** Once spellings are merged, Bangalore is clearly the largest hub at about 28%. The Delhi region (Delhi, Gurgaon/Gurugram and Noida, which are all National Capital Region locations) totals about 888 deals, roughly 29%, so the NCR is comparable to or slightly larger than Bangalore. Mumbai is third at about 19%. Together these three clusters hold about three-quarters of the recorded deals. Any city-level ranking should standardise the labels first and treat the roughly 6% of rows with no location as unknown.