Source: sales-sample.csv, 12 rows, columns date, units, amount_usd. Highest day in red, lowest day in blue.
Findings
Total sales: $1,250.00 over 12 days. Sum of amount_usd: 80 + 90 + 70 + 100 + 110 + 95 + 130 + 90 + 85 + 200 + 105 + 95 = 1250. Checked by a second, independent parse of the raw CSV lines, which also gave 1250.
Total units: 123. Sum of units: 8 + 9 + 7 + 10 + 11 + 9 + 13 + 9 + 8 + 20 + 10 + 9 = 123. Units are whole numbers in every row, all positive, and the amount_usd column is in US dollars per its name.
Highest day: 2026-04-10, $200.00 from 20 units.
Lowest day: 2026-04-03, $70.00 from 7 units.
Cautious observation: 2026-04-10 stands out, $200.00 and 20 units, about double the average of the other 11 days ($95.45 and 9.36 units). That single day is 16.0% of the 12-day total. The higher amount tracks the higher units, so it looks like more items sold rather than a higher price, but with one spike in 12 days this sample cannot say why it happened or whether it will recur.
Price check (context only): amount per unit is exactly $10.00 on 8 of 12 days. It is slightly higher on 2026-04-06 ($10.56), 2026-04-09 ($10.62), 2026-04-11 ($10.50), 2026-04-12 ($10.56). The CSV gives no reason for these differences.