**Yes. The dataset has a monthly time dimension, January to May 2022, with one table per month. It shows one large spike, one volume drop and some structural breaks.** **1. April 2022 is a huge funding spike, and it is probably distorted by bad data.** - April's disclosed USD total is about $45.1B, against $4.1B in January, $3.5B in February, $2.7B in March and $0.3B in May. The average round is about $564M, against $15–41M in other months. - One row drives most of it: "Accel" (a financial-services row, stage undisclosed) at $18.3B. Accel is an investor, so this looks like a fund size or a mis-keyed row rather than a funding round. - Removing Accel leaves about $26.8B, which is still far above every other month. The next-largest April rows are Ola ($5.0B), Mahindra Logistics ($2.5B), Verse Innovation ($1.7B) and ShareChat ($1.4B). I did not check these against outside sources. - April's median round is $30M, so the typical April round was also larger than in other months. **2. The median round size rises from January to April, then falls back in May.** - The median is $5.45M in January, $6M in February, $12M in March and $30M in April. It drops to $5.25M in May. - The median is not distorted by single outliers, so the increase from February to April looks real. Part of it may come from the disclosure changes in point 4. **3. May 2022 has a steep drop in volume, and the data looks incomplete.** - Rows per month are 115 (Jan), 96 (Feb), 98 (Mar), 95 (Apr) and 42 (May). May is down about 56% from April. - May has only 20 rounds with a dollar amount, and about $299M of disclosed funding. The card also notes that some May rows are misaligned or blank. This looks like a partial month or a data-quality break, not necessarily a real collapse in funding. **4. Disclosure quality gets worse over time.** - Rounds with a non-dollar amount (for example "Undisclosed") are 7 of 115 in January, 10 of 96 in February, 19 of 98 in March, 15 of 95 in April and 22 of 42 in May. That is about 6%, 10%, 19%, 16% and 52%. - This means the monthly totals cover a shrinking share of rounds, so they are not fully comparable across months. **5. Structural breaks in the source tables.** - January's amount range includes a founder's name ("Vaibhav Anant") in the Amount column, which points to misaligned rows. - May's amount range includes a bare number, "6400000", with no "$" sign. - May's `Founded` column is text, while the other four months store it as a number. - Amounts are stored as text in every month, so I had to parse them. The exact set of rows excluded as non-dollar is in the first and second queries above. **Takeaway:** Treat April's total as an outlier driven by a few extreme or likely erroneous rows. Treat May as a partial or poorly structured month. Compare months using medians and row counts rather than raw totals.