**Most important metric: `Amount in USD`.** It is the only numeric measure in the dataset, since the other numeric field, `Sr No`, is just a row key. It is stored as text with Indian digit grouping (for example `3,90,00,00,000`), so it has to be stripped and cast before it can be analysed. The query result above did that and produced `amount_usd`. **Highest records** - The highest recorded deal is **Rapido Bike Taxi** (Series B, Bengaluru, 27/08/2019) at 3,900,000,000 USD, about $3.9B. - Next is **Flipkart** (Private Equity, 11/08/2017) at 2.5B USD. - **Paytm** (18/05/2017) and **Flipkart** (21/03/2017) are both at 1.4B USD. - The Rapido figure looks suspicious. A Series B for a bike-taxi startup at $3.9B is far out of line with the other large deals, so it is probably a data-entry or unit error (such as rupees rather than USD) and I would verify it before relying on it. - The first "highest" row, Drums Food (Sr No 1563), has no amount at all. It surfaced only because the sort placed missing values first, so ignore it as a real record. **Lowest records** - The lowest amount in the rows shown is **16,000 USD**. All five rows shown are seed deals dated 19/01/2015: Hostel Dunia, Play your sport, Yo Grad, Enabli and CBS. - The query returned only five lowest rows, so more deals may share this floor value. - These rows also have no industry vertical or city recorded. **Takeaway:** reported deal sizes span about 16 thousand to several billion USD, a range of roughly five orders of magnitude. A handful of mega-deals, plus the possible Rapido outlier, would dominate any sum or average, so medians or percentiles are safer for benchmarking. Missing amounts also need to be filtered out before ranking.