saturn

/home/coolhand/html/datavis/data_trove/data/quirky/ufo_by_state.json 58 rows sample n=58 seed 42 2026-06-22T00:49:50+00:00

Overview

Source/home/coolhand/html/datavis/data_trove/data/quirky/ufo_by_state.json
Total rows58
Profiled sample58
Columns2
Generated2026-06-22T00:49:50+00:00
Show data table
Per-column null rate across the corpus.
columnkindnull %
statecategorical0.0%
countnumeric0.0%

Insights opt-in

Model-generated narrative. These are opinions, not facts — the stats below are what saturn measured. Generated by: anthropic:default.

Dataset high anthropic:default

This dataset contains UFO sighting counts aggregated by U.S. state, covering all 58 rows with no missing values. The count distribution is heavily right-skewed (skew ~2.93) with high kurtosis and 4 outlier states that far exceed the norm — the max of 16,197 sightings dwarfs the median of 1,510, suggesting a handful of states dominate UFO reports. The state column has one entry per state, so the interesting story is entirely in how unevenly sightings are distributed across states. Look closely at the top states to see which ones are driving the bulk of reported sightings.

count medium anthropic:default

This column appears to be an event or item count, likely representing frequency or volume of some activity across 58 records. The distribution is severely right-skewed (skew = 2.93, kurtosis = 11.75) with a min of 1 and a max of 16,197 against a median of only 1,510.5, indicating a handful of dominant observations pulling the mean (2,274.7) well above the median. Four outliers (≈6.9% of rows) are driving the extreme tail, and the standard deviation (2,642.8) exceeds the mean, confirming high dispersion.

state high anthropic:default

This column contains US state abbreviations, with exactly 58 unique values across 58 rows — meaning every row has a distinct state code and the dataset contains one record per state (plus potentially DC and a territory or two beyond the standard 50). Entropy ratio of 1.0 and a top_rate of 0.0172 (1/58) confirm perfectly uniform distribution with zero repetition, making this effectively a lookup key rather than a grouping variable. The long_tail alert is technically correct but misleading — there is no tail, just perfect cardinality.

state categorical

58 singleton categories
rows58
null0 (0.0%)
unique58
top_valueCA
top_rate0.017
cardinality58
entropy5.858
entropy_ratio1.000
Show data table
Top values for state (20 unique shown, of 58 total).
valuecountshare
CA11.7%
FL11.7%
WA11.7%
TX11.7%
NY11.7%
PA11.7%
AZ11.7%
OH11.7%
IL11.7%
NC11.7%
MI11.7%
OR11.7%
CO11.7%
NJ11.7%
MO11.7%
GA11.7%
IN11.7%
MA11.7%
VA11.7%
WI11.7%
Top values (rank 1–20)
  1. CA — 1
  2. FL — 1
  3. WA — 1
  4. TX — 1
  5. NY — 1
  6. PA — 1
  7. AZ — 1
  8. OH — 1
  9. IL — 1
  10. NC — 1
  11. MI — 1
  12. OR — 1
  13. CO — 1
  14. NJ — 1
  15. MO — 1
  16. GA — 1
  17. IN — 1
  18. MA — 1
  19. VA — 1
  20. WI — 1

count numeric

skew=+2.93 6.9% rows beyond 1.5 IQR
rows58
null0 (0.0%)
unique55
min1.000
max16,197
mean2,275
median1,510
std2,643
q1648.750
q32,789
iqr2,140
skew2.925
kurtosis11.754
n_outliers4
outlier_rate0.069
zero_rate0.000
Show data table
Histogram bins for count (median: 1510.5).
bincount
1 – 231538
2315 – 462813
4628 – 69424
6942 – 92562
9256 – 1.157e+040
1.157e+04 – 1.388e+040
1.388e+04 – 1.62e+041