**Short answer:** The dataset covers only January to May 2022, so it can show a short-run direction but not seasonality. Deal counts fall from January and then level off, and deal value has no clear trend. **Time dimension.** Each table is one month of announced funding rounds. The `Founded` column is the company's founding year, not a transaction date, so it isn't a time axis for funding activity. **Number of rounds (from the monthly summary).** - Jan 115, Feb 96, Mar 98, Apr 95, May 42. - That is a drop of about 17% from January to February, then a flat plateau of 95–98 rounds through April. - May looks like a collapse (42 rows), but the card says the May table is a partial or misaligned extract with some blank rows. I would not read it as a real 56% decline. **Funding value (from the same summary).** - Total disclosed USD fell from about $4.10B in January to $3.49B in February and $2.85B in March, which looks like a decline. - April jumps to about $45.3B. That is roughly 10x any other month, and I don't trust it. April's `Amount` strings are inconsistent: - Some use mixed separators such as "$624.800,000" and "$11.700,000". - Some are bare values such as "$221.5", "$23" and "$485", which are probably millions or billions. - Others are "Undisclosed" or blank. - A few genuine mega-rounds ($5B, $2.5B, $1.7B, and three of $1.2B) also contribute. Parsing errors and these outliers together make April's total unreliable. - May's total is about $0.31B, but only 21 of its 42 rows have an amount, so it is also unreliable. - Median round size rose from $5.45M in January to $6M, $11M and $30M through April, then fell back to $5.5M in May. That suggests larger rounds in March–April, but the messy April amounts weaken it. **Conclusion.** - **Round count:** a one-time step down after January, then flat. May is incomplete. - **Deal value:** there is no reliable trend. The decline from January to March is plausible, but April's total is distorted by amount-formatting problems and a handful of huge rounds. - **Seasonality:** it can't be assessed with five months and no prior-year data. **Caveats.** The count of rounds with a usable amount differs slightly between my queries (for example, April's is 83 in one and 80 in another), because `Amount` is text and each parse handles the messy values differently. The directional conclusions above don't depend on that difference.