saturn

/home/coolhand/html/datavis/data_trove/data/quirky/witch_trials.json 10,940 rows sample n=10,940 seed 42 2026-05-01T18:05:56+00:00

Overview

Source/home/coolhand/html/datavis/data_trove/data/quirky/witch_trials.json
Total rows10,940
Profiled sample10,940
Columns6
Generated2026-05-01T18:05:56+00:00

Insights opt-in

Model-generated narrative. These are opinions, not facts — the stats below are what saturn measured. Generated by: anthropic:claude-opus-4-7.

Errors during insight pass (7)
  • dataset:__global__:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw4iWmpBi6bt4hBj2D'}
  • column:year:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw5DH6P3T8PRG6Jovk'}
  • column:decade:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw5kX28dZN4eBdAVWN'}
  • column:city:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw6NixCwnuPgvwyES1'}
  • column:country:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw6tjKKgNWmbNBdfKu'}
  • column:tried:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw7Sy6QkXCtEYa4Dj3'}
  • column:deaths:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacHw8KoXYTjgPP1enmtw'}

Numeric correlation

year numeric

7.1% rows beyond 1.5 IQR
rows10,940
null931 (8.5%)
unique430
min1,300
max1,850
mean1,621
median1,630
std66.251
q11,597
q31,660
iqr63.000
skew-1.586
kurtosis4.319
n_outliers714
outlier_rate0.071
zero_rate0.000

decade numeric

7.8% rows beyond 1.5 IQR
rows10,940
null0 (0.0%)
unique53
min1,300
max1,850
mean1,615
median1,620
std66.681
q11,590
q31,650
iqr60.000
skew-1.478
kurtosis3.850
n_outliers848
outlier_rate0.078
zero_rate0.000

city categorical

47.7% null
rows10,940
null5,213 (47.7%)
unique906
top_valueGeneva
top_rate0.056
cardinality906
entropy8.406
entropy_ratio0.856
Top values (rank 1–20)
  1. Geneva — 320
  2. Budingen — 264
  3. Bruges — 121
  4. Munich — 80
  5. Augsburg — 75
  6. Vesoul — 64
  7. Venice — 63
  8. Boudry — 59
  9. Valangin — 58
  10. Fleurier — 54
  11. Gelnhausen — 50
  12. Arnsberg — 49
  13. Thielle-Wavre — 47
  14. Burghausen — 44
  15. Grundau — 44
  16. Neuchatel — 42
  17. Colombier — 42
  18. Stuttgart — 39
  19. Mitterfels — 38
  20. Namur — 37

country categorical

rows10,940
null0 (0.0%)
unique19
top_valueUnited Kingdom
top_rate0.343
cardinality19
entropy2.502
entropy_ratio0.589
Top values (rank 1–20)
  1. United Kingdom — 3,750
  2. Germany — 3,417
  3. Switzerland — 1,272
  4. France — 807
  5. Belgium — 671
  6. Sweden — 353
  7. Netherlands — 314
  8. Italy — 107
  9. Denmark — 90
  10. Spain — 29
  11. Hungary — 26
  12. Norway — 20
  13. Luxembourg — 20
  14. Estonia — 17
  15. Finland — 17
  16. Austria — 16
  17. Poland — 9
  18. Ireland — 4
  19. Czech Republic — 1

tried numeric

skew=+15.61 22.5% rows beyond 1.5 IQR
rows10,940
null0 (0.0%)
unique111
min1.000
max500.000
mean3.952
median1.000
std19.264
q11.000
q31.000
iqr0.000
skew15.614
kurtosis316.018
n_outliers2,457
outlier_rate0.225
zero_rate0.000

deaths numeric

skew=+28.52 24.5% rows beyond 1.5 IQR
rows10,940
null0 (0.0%)
unique74
min0.000
max500.000
mean1.493
median0.000
std13.188
q10.000
q30.000
iqr0.000
skew28.521
kurtosis991.645
n_outliers2,684
outlier_rate0.245
zero_rate0.755