{
    "action": "final",
    "content": "**Size:** The dataset has one table, `raw.startup_funding`, with **3,044 rows** and **14 columns**. Ten are source fields: Sr No, Date, Startup Name, Industry Vertical, SubVertical, City Location, Investors Name, InvestmentnType, Amount in USD and Remarks. The other four are ingestion metadata: `_ingestion_timestamp`, `_batch_id`, `_source_file` and `_source_system`.\n\n**Time period:** Yes, it has a date column (`Date dd/mm/yyyy`, stored as text). Of the 3,044 rows, 3,037 parsed as dates and 7 did not (step-0 query).\n\n- Apart from one mis-keyed date, the parsed dates run from **2 January 2015 to 13 January 2020**, so the data covers roughly five years.\n- The reported \"earliest\" date of 0015-07-01 comes from a single mis-keyed row, likely meant as 2015, and it is not a real date (step-1 query). That row shows up as year \"15\" with 1 deal.\n- Deals per year (step-1 query): 929 in 2015, 993 in 2016, 687 in 2017, 309 in 2018, 111 in 2019 and 7 in 2020. 2020 is only partial, ending 13 January.\n\nDeal counts peak in 2016 and then fall each year. That could reflect real slowing or incomplete reporting in later years, and the data alone can't tell which.\n\n**Caveat:** The 7 unparsed dates were not inspected, so some of them may fall outside the range above."
}