Only two columns are numeric once the text values are parsed: **Founded** (a year) and **Amount**, which is stored as text like "$1,000,000" and was converted to a USD number (`Amount_USD`). The summary below covers all five monthly tables, 446 rows in total (query result step-1). **Founded (year)** - 427 of 446 rows have a usable year. The 19 others are blank or misaligned, mostly in the May table, where the column is text. - The range runs from 1871 to 2022, with a mean of about 2015.3 and a median of 2017. - The standard deviation is about 11 years. The middle half of companies were founded between 2014 (25th percentile) and 2020 (75th percentile). - The mean sits below the median because a few very old companies, such as the one dated 1871, drag it down. Most funded startups are recent, founded after 2014. **Amount_USD (funding per round)** - 385 of 446 rows have a numeric amount. The rest are "Undisclosed" (6 in the value counts from step-0) or otherwise unparseable. - The minimum is about $11.3, which is almost certainly a data-entry or parsing artefact rather than a real round. The maximum is $18.3 billion. - The mean is about $145.6M but the median is only $9.4M, so the distribution is heavily right-skewed. A handful of mega-rounds pull the mean far above the typical deal. - The standard deviation is about $991.5M, roughly 7 times the mean, which confirms extreme dispersion. - The middle half of rounds falls between $1.3M (25th percentile) and $45M (75th percentile). Common deal sizes are $1M (9 rounds), $10M (8) and $5M (6). **Takeaway:** use the median and the 25th–75th percentile range to describe a typical funding round. The mean and standard deviation of Amount are dominated by the outliers, so they are not representative. The $11 minimum and $18.3B maximum should be checked against the source before any further analysis.