PHPMem v2.0.1

Version
1.6.45
Uptime
17 days 1 hour 36 minutes 15 seconds

Memory

Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB

Keys

Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
15 / 1 024 max
Total
194 736
Rejected
0
llm:34815ce8495f4e87506764d96c602c4527629c4f1607a6c1f88d31b320301b6e
TTL 6 days 1 hour 35 minutes 45 seconds Size 2,33KB Export
Edit
## Geographic distribution of the funding deals The dataset has one geographic field, `City Location` (note the double space in the name). Deals are heavily concentrated in a few Indian metros. The city counts come from the two city-count queries I ran (steps 0 and 1) over all 3,044 deals. **Top cities as recorded (share of 3,044 deals):** - Bangalore has 700 deals (23.0%). - Mumbai has 567 (18.6%). - New Delhi has 421 (13.8%). - Gurgaon has 287 (9.4%). - Bengaluru has 141 (4.6%). - Pune has 105 (3.4%). - Hyderabad has 99 (3.3%). - Chennai has 97 (3.2%). - Noida has 92 (3.0%). **The raw labels split some cities, so the true concentration is higher than it looks.** - Bangalore and Bengaluru are the same city: 700 + 141 = **841 deals, about 27.6%**. - Gurgaon and Gurugram are the same city: 287 + 50 = 337 deals, about 11%. A further 4 rows are spelled `\xc2\xa0Gurgaon` with a stray non-breaking-space character. - Delhi and New Delhi are the same city: 421 + 34 = 455 deals, about 15%, plus 3 `\xc2\xa0New Delhi` rows. - The Delhi NCR cluster (New Delhi, Delhi, Gurgaon, Gurugram, Noida, Faridabad) is therefore roughly 880 or more deals, close to 29% of the total. - Bangalore, Mumbai and Delhi NCR together account for about 75% of all deals. **Long tail.** After the top nine, cities drop quickly: Ahmedabad has 38, Jaipur 30, Kolkata 21, and Indore 13. Chandigarh, Goa, Vadodara, Coimbatore, Kanpur, Nagpur and Bhopal each have 11 or fewer. Singapore (8) and "Pune / US" (4) show a few deals with a location outside India or spanning two places. **Data quality caveats.** - Missing locations are about 6% of rows: 171 are the literal string "nan", 6 are blank and 3 are "N/A", about 180 rows in total. - The inconsistent spellings above (Bangalore/Bengaluru, Gurgaon/Gurugram, Delhi/New Delhi, and the non-breaking-space variants) need normalizing before any city-level ranking. - Multi-location entries such as "Pune / US" mean the field is not strictly one city per row. **Conclusion:** Funding is concentrated in Bangalore, Mumbai and Delhi NCR. Cleaning the labels would put Bangalore first at about 28%, ahead of Mumbai at about 19% and the Delhi cluster at about 29% when combined. Everything else is a thin tail of smaller cities.