saturn

This dataset contains 3,222 rows of US county-level health data, with each row identified by a unique county name and FIPS code, plus three numeric measures: total population, uninsured population, and uninsured rate. The population fields are extremely right-skewed — total_pop ranges from 47 to nearly 9.87 million with a median of 25,328, and uninsured_pop shows similar skew (median 36, max 20,915), so a few large counties dominate. The uninsured_rate is the most analytically interesting field: it has a median of 0.12 but stretches up to 3.7, with about 17% of counties reporting zero, suggesting either small/edge cases or data quality issues worth investigating. Start by examining the distribution of uninsured_rate and how it relates to total_pop.

This is the U.S. county FIPS code: every one of the 3222 rows is unique with no nulls, and the value range (1001 to 72153) matches the standard 5-digit state+county encoding. The distribution is near-symmetric (skew 0.16) with no statistical outliers, consistent with an identifier rather than a measured quantity.

This column lists US county names paired with their state (e.g., 'County, Texas'), with all 3222 values unique and no nulls. The token 'county,' appears 2999 times, suggesting ~223 rows use a different suffix (likely 'Parish' in Louisiana or 'Borough/Census Area' in Alaska). State frequencies match expectations, with Texas (256) leading — consistent with Texas having the most counties nationally.

This is a population count, almost certainly per geographic unit (likely US counties given n=3222), with values from 47 to 9,866,623 and a median of 25,328. The distribution is severely right-skewed (skew 13.38, kurtosis 298.69) with 453 outliers (14.06%), reflecting a few massive metros dwarfing thousands of small areas. Mean (102,232) sits far above the median, confirming the heavy tail.

Likely a county- or tract-level count of uninsured residents, with 3222 rows and 584 unique values. The distribution is extremely right-skewed (skew 17.8, kurtosis 462.9): median is 36 while the max hits 20915 and the mean is 159.9, and 17.2% of rows are zero. About 11.4% of values (368) flag as outliers, consistent with a few very populous areas dominating.

Likely a per-record uninsured rate, expressed as a fraction (median 0.12, q3 0.25) but with a long tail reaching 3.7, which is implausible for a true rate and suggests mixed units or data entry errors. The distribution is severely right-skewed (skew 4.10, kurtosis 27.70) with 230 outliers (7.1%) and 17.5% exact zeros. No nulls across 3222 rows and only 152 unique values, hinting at rounded or binned source data.