saturn

/home/coolhand/datasets/large-meteorites/large_meteorites.json 4,871 rows sample n=4,871 seed 42 2026-05-01T18:06:11+00:00

Overview

Source/home/coolhand/datasets/large-meteorites/large_meteorites.json
Total rows4,871
Profiled sample4,871
Columns10
Generated2026-05-01T18:06:11+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 (11)
  • 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_011CacHxAUJwJ9as3uEtGk4S'}
  • column:name: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_011CacHxAyaKPASBebWQKG9Q'}
  • column:mass_g: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_011CacHxBUqGHLhdFaU8nHCm'}
  • column:meteorite_class: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_011CacHxByMY1UyRXAFY8xg2'}
  • column:fall_type: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_011CacHxCSP9Rqt3d4XhkH76'}
  • column:latitude: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_011CacHxCweE7fff4PvBqufn'}
  • column:longitude: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_011CacHxDTQ8FHZmpiEBQ6yk'}
  • column:date: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_011CacHxDz9VohBRhsT41KYB'}
  • 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_011CacHxEW9xgATz56dg354x'}
  • column:category: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_011CacHxF4PU5dtDxSZuTZw7'}
  • column:description: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_011CacHxFaQ71JzKRihJeVAB'}

Numeric correlation

name text

100.0% of rows are unique strings 32.2% rows are a single word
rows4,871
null0 (0.0%)
unique4,871
len_min3
len_max28
len_mean13.800
len_median12.000
len_p9521.000
word_mean2.215
word_median2.000
n_empty0
n_duplicates0
duplicate_rate0.000
vocab_size4,632
readability_flesch_mean52.553
emoji_rate0.000
url_rate0.000
one_word_rate0.322
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Aguila Blanca
  2. Northwest Africa 6643
  3. Sahara 97001
  4. Prambanan
  5. Goodland
  6. Wild Horse
  7. Grosvenor Mountains 85203
  8. Sayh al Uhaymir 524
  9. Quartz Mountain
  10. Djoumine

mass_g numeric

skew=+25.12 14.6% rows beyond 1.5 IQR
rows4,871
null0 (0.0%)
unique2,850
min1,000
max60,000,000
mean123,403
median3,600
std1,755,279
q11,686
q312,000
iqr10,314
skew25.118
kurtosis723.619
n_outliers712
outlier_rate0.146
zero_rate0.000

meteorite_class categorical

rows4,871
null0 (0.0%)
unique261
top_valueL6
top_rate0.169
cardinality261
entropy5.197
entropy_ratio0.647
Top values (rank 1–20)
  1. L6 — 825
  2. H5 — 665
  3. L5 — 408
  4. H4 — 349
  5. H6 — 309
  6. Iron, IIIAB — 232
  7. L4 — 157
  8. LL6 — 120
  9. LL5 — 93
  10. Iron, IIAB — 92
  11. Iron, ungrouped — 76
  12. Iron, IAB-MG — 75
  13. Iron, IVA — 59
  14. CV3 — 35
  15. H4/5 — 33
  16. Iron, IAB complex — 32
  17. Pallasite, PMG — 31
  18. Iron — 30
  19. Iron, IAB-ung — 30
  20. LL4 — 29

fall_type categorical

rows4,871
null0 (0.0%)
unique2
top_valueFound
top_rate0.848
cardinality2
entropy0.616
entropy_ratio0.616
Top values (rank 1–20)
  1. Found — 4,129
  2. Fell — 742

latitude numeric

12.0% rows beyond 1.5 IQR
rows4,871
null697 (14.3%)
unique2,861
min-87.367
max81.167
mean9.763
median24.001
std39.206
q10.000
q335.658
iqr35.658
skew-1.228
kurtosis0.431
n_outliers500
outlier_rate0.120
zero_rate0.084

longitude numeric

rows4,871
null697 (14.3%)
unique3,122
min-165.433
max178.200
mean7.871
median12.158
std82.296
q1-78.079
q355.714
iqr133.794
skew0.137
kurtosis-0.845
n_outliers0
outlier_rate0.000
zero_rate0.084

date categorical

rows4,871
null54 (1.1%)
unique243
top_value2000-01-01
top_rate0.049
cardinality243
entropy6.668
entropy_ratio0.841
Top values (rank 1–20)
  1. 2000-01-01 — 235
  2. 2003-01-01 — 209
  3. 2002-01-01 — 203
  4. 2001-01-01 — 186
  5. 2006-01-01 — 167
  6. 2005-01-01 — 146
  7. 2004-01-01 — 141
  8. 1999-01-01 — 138
  9. 2011-01-01 — 121
  10. 2009-01-01 — 103
  11. 2008-01-01 — 96
  12. 1997-01-01 — 94
  13. 1998-01-01 — 93
  14. 2010-01-01 — 89
  15. 1995-01-01 — 80
  16. 2007-01-01 — 71
  17. 1988-01-01 — 70
  18. 1979-01-01 — 70
  19. 2012-01-01 — 53
  20. 1990-01-01 — 53

year numeric

skew=-2.27
rows4,871
null54 (1.1%)
unique243
min1,399
max2,013
mean1,968
median1,990
std51.830
q11,945
q32,002
iqr57.000
skew-2.271
kurtosis9.377
n_outliers216
outlier_rate0.045
zero_rate0.000

category categorical

top value is 100.0% of rows
rows4,871
null0 (0.0%)
unique1
top_valuelarge_meteorites
top_rate1.000
cardinality1
entropy-0.000
entropy_ratio0.000
Top values (rank 1–20)
  1. large_meteorites — 4,871

description text

100.0% of rows are unique strings
rows4,871
null0 (0.0%)
unique4,871
len_min39
len_max82
len_mean53.591
len_median54.000
len_p9565.000
word_mean8.396
word_median8.000
n_empty0
n_duplicates0
duplicate_rate0.000
vocab_size6,296
readability_flesch_mean58.696
emoji_rate0.000
url_rate0.000
one_word_rate0.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Meteorite Aguila Blanca - L. Mass: 1.44kg. Fell.
  2. Meteorite Northwest Africa 6643 - L6. Mass: 1.73kg. Found.
  3. Meteorite Sahara 97001 - L6. Mass: 25.45kg. Found.
  4. Meteorite Prambanan - Iron, ungrouped. Mass: 500.00kg. Found.
  5. Meteorite Goodland - L4. Mass: 3.63kg. Found.
  6. Meteorite Wild Horse - H5. Mass: 1.36kg. Found.
  7. Meteorite Grosvenor Mountains 85203 - H5. Mass: 1.45kg. Found.
  8. Meteorite Sayh al Uhaymir 524 - L6. Mass: 1.49kg. Found.
  9. Meteorite Quartz Mountain - Iron, IIIAB. Mass: 4.83kg. Found.
  10. Meteorite Djoumine - H5-6. Mass: 10.00kg. Fell.