**Short answer:** the data points to a mild decline in deal count from January to April, with May too incomplete to read. There is no clean growth trend and no evidence of seasonality, because the dataset covers only five months of one year. **What the time dimension is.** There is no date column per round. Time comes from the five monthly tables (January–May 2022). The `Founded` column is the company's founding year, not a funding date. **Deal count (query step-0).** - The number of rounds goes 115 → 96 → 98 → 95 → 42 from January to May. - January to April is a gentle slide, with February to April roughly flat at 95–98. - May has only 42 rows, and the card notes some May rows are misaligned or blank. That drop looks like a partial or poorly captured month, not a real collapse. - Only 21 of May's 42 rounds have a usable amount. **Funding value (query step-0).** - Total disclosed funding falls from about $4.10B in January to $3.49B in February and $2.85B in March, a shrinking trend over those three months. - April shows about $45.3B, which is not credible. The raw April amounts (query step-1) are inconsistent text: - Some use a European-style separator, such as "$11.700,000" or "$624.800,000". - Some look like values in millions with no unit, such as "$221.5" or "$23". - Ten are "Undisclosed". - Two are blank. A handful of $1B+ rounds (for example $5B, $2.5B, $1.7B and three at $1.2B) also dominate that total. Treat April's sum as a parsing artifact and an outlier-driven figure, not a surge. - The median round size is more robust to this. It rises from $5.45M in January to $6M, $11M and $30M by April, then falls back to $5.5M in May. That suggests larger typical rounds in March–April, though April's median is also affected by the messy formatting. **Seasonality.** Five months of a single year cannot show seasonality. The April spike and May drop are better explained by data quality and completeness than by any seasonal pattern. **Conclusion.** Deal volume is slightly shrinking to flat from January to April. Disclosed totals shrink from January to March. April's total is unreliable and May is incomplete. To say more, you would need to standardise the amount formats and get a complete May.