**Short answer: the number of announced rounds shrinks from January to May. Dollar value is erratic, so I can't call a value trend. Five months is also too short to say anything about seasonality.** The dataset has a time dimension, but only at monthly-file level (January to May 2022). Each row is one funding round, and the only other date is the company's founding year, which isn't a funding timeline. **Deal count (reliable signal)** - Rounds per month go 115 → 96 → 98 → 95 → 42 (Jan to May). - That is a drop of about 17% from January to February, then roughly flat through April. - May then falls by more than half. Part of this is likely a data artifact, because the card notes that May has misaligned or blank rows. Only 21 of its 42 rows have a parseable amount, versus 83–108 in the other months. So May is probably an incomplete snapshot, not a real collapse. **Disclosed funding value (unreliable signal)** - Parsed monthly totals are about $4.10B (Jan), $3.49B (Feb), $2.85B (Mar), $45.3B (Apr) and $0.31B (May). - The April figure is not credible as a market event. The `Amount` column is free text with mixed formats: `$11.700,000` (European separators), `$221.5` and `$485` (probably millions or billions written without units), `76,000,000` with no `$`, and "Undisclosed". Those malformed values inflate the April total. - The median round size is a more robust measure. It goes $5.45M, $6.0M, $11.0M, $30.0M, $5.5M. This hints that round sizes grew from January to April before dropping back in May, but the April median is also affected by the same formatting problems. **Seasonality** Five months of data cannot show seasonal patterns. A seasonal claim would need at least one full year, and ideally several. **Overall reading** Activity was roughly flat to slightly declining in count from January to April. May's drop is mostly an incomplete-data effect. Dollar value has no trustworthy trend until the `Amount` text is cleaned and normalised. The numbers come from the monthly aggregate query (step 0) and the `Amount` value checks (steps 1 and 11). {"action":"final","content":"placeholder"}