**Short answer:** The dataset has a monthly time dimension (funding rounds announced January–May 2022), and over those five months the number of rounds is shrinking. Dollar totals are not reliable enough to call a trend. Five months is too short to say anything about seasonality. **Round counts (step-0 query):** - Rounds fall from 115 in January to 96 in February, 98 in March and 95 in April, then 42 in May. - January to April is a gentle decline of about 17%, and March was a slight uptick. - May looks like a partial or incomplete month. Only 21 of its 42 rows have a usable amount, and the dataset notes say some May rows are misaligned or blank. Treat the May drop as a collection artefact, not a real collapse. - Rounds with a disclosed amount follow the same pattern: 108, 87, 86, 83 and 21. **Dollar totals (step-0 query):** - Total funding goes from about $4.10B in January to $3.49B in February and $2.85B in March, a steady decline. - April jumps to about $45.3B, roughly 16 times March, and May is only about $0.31B. - April is probably inflated by messy `Amount` text. The step-1 breakdown shows mixed formats such as `$11.700,000`, `$624.800,000`, `$221.5`, `$23`, `$485` and bare `76,000,000`, plus 10 "Undisclosed" and 2 blank values. - The April total could be partly real, since there are several genuine mega-rounds ($5B, $2.5B, $1.7B and three at $1.2B). But I did not verify how the odd formats were converted, so I wouldn't read April as a true 10x surge. - Median round size rises from $5.45M in January to $6M, $11M and $30M in April, then drops back to $5.5M in May. The April median may also be affected by the parsing issue. **Takeaway:** Deal volume is flat to slightly shrinking from January to April, and May is incomplete. Dollar value is dominated by a few very large rounds and by inconsistent amount formatting, so there is no trustworthy growth or shrinkage signal in it. Cleaning the `Amount` column would be needed before drawing a firm conclusion. The `Founded` column is company founding year, not a time axis for this trend.