saturn

/home/coolhand/datasets/us-inequality-atlas/housing/housing_crisis_merged.csv 3,222 rows sample n=3,222 seed 42 2026-05-01T17:51:30+00:00

Overview

Source/home/coolhand/datasets/us-inequality-atlas/housing/housing_crisis_merged.csv
Total rows3,222
Profiled sample3,222
Columns16
Generated2026-05-01T17:51:30+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 (17)
  • 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_011CacGqDkSqd7rDoDPf8FR7'}
  • column:fips: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_011CacGqEExq6UVkMXKtfGyd'}
  • column:county_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_011CacGqEmxePfWKvVtNCCoY'}
  • column:total_renters: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_011CacGqFGj8qWN4wf8EhYAy'}
  • column:pct_rent_burdened_30plus: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_011CacGqFkW8peTE5bg6MyFq'}
  • column:pct_rent_burdened_50plus: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_011CacGqGEXNaZ5brxZSx8cX'}
  • column:median_gross_rent: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_011CacGqGi3pXUuWUWrTuZ86'}
  • column:median_household_income: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_011CacGqH5sYdFVQPWafHCjE'}
  • column:total_housing_units: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_011CacGqHXfDf1aFtDJiNFLj'}
  • column:owner_occupied: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_011CacGqJ4ezcUdh17aP1h96'}
  • column:renter_occupied: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_011CacGqJaf5YmU93b6j5NnH'}
  • column:pct_renter: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_011CacGqK5vFdkdiLND79dpM'}
  • column:annual_rent: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_011CacGqKcfuoZcVEyuTAAB8'}
  • column:rent_to_income_ratio: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_011CacGqL7w1YiZ6DBDWHVud'}
  • column:affordability_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_011CacGqLchQx68XV69m7ciR'}
  • column:hours_at_min_wage_for_rent: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_011CacGqM5yYEapLgRWa3Sxo'}
  • column:weeks_at_min_wage_for_rent: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_011CacGqMwpUYzprLn8TXqYQ'}

Numeric correlation

fips numeric

rows3,222
null0 (0.0%)
unique3,222
min1,001
max72,153
mean31,378
median30,022
std16,300
q119,030
q346,104
iqr27,075
skew0.157
kurtosis-0.631
n_outliers0
outlier_rate0.000
zero_rate0.000

county_name text

100.0% of rows are unique strings
rows3,222
null0 (0.0%)
unique3,222
len_min16
len_max59
len_mean24.324
len_median24.000
len_p9531.000
word_mean3.248
word_median3.000
n_empty0
n_duplicates0
duplicate_rate0.000
vocab_size1,990
readability_flesch_mean10.284
emoji_rate0.000
url_rate0.000
one_word_rate0.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Bibb County, Alabama
  2. Cheatham County, Tennessee
  3. Piute County, Utah
  4. Lamb County, Texas
  5. Martin County, Minnesota
  6. Sheridan County, Wyoming
  7. Chickasaw County, Mississippi
  8. Rockingham County, Virginia
  9. Liberty County, Texas
  10. Clark County, Arkansas

total_renters numeric

skew=+15.82 13.9% rows beyond 1.5 IQR
rows3,222
null0 (0.0%)
unique2,709
min28.000
max1,810,929
mean13,851
median2,580
std55,352
q11,004
q37,396
iqr6,392
skew15.822
kurtosis398.150
n_outliers449
outlier_rate0.139
zero_rate0.000

pct_rent_burdened_30plus numeric

rows3,222
null0 (0.0%)
unique2,146
min0.000
max64.960
mean36.443
median37.360
std10.009
q130.670
q343.480
iqr12.810
skew-0.567
kurtosis0.503
n_outliers58
outlier_rate0.018
zero_rate2.48e-03

pct_rent_burdened_50plus numeric

rows3,222
null0 (0.0%)
unique1,769
min0.000
max64.960
mean17.353
median17.620
std6.577
q113.072
q321.630
iqr8.557
skew0.054
kurtosis0.982
n_outliers47
outlier_rate0.015
zero_rate9.31e-03

median_gross_rent numeric

7.0% rows beyond 1.5 IQR
rows3,222
null10 (0.3%)
unique983
min297.000
max2,805
mean890.919
median818.000
std283.365
q1718.000
q3978.000
iqr260.000
skew1.763
kurtosis4.550
n_outliers225
outlier_rate0.070
zero_rate0.000

median_household_income numeric

5.8% rows beyond 1.5 IQR
rows3,222
null1 (0.0%)
unique3,098
min14,525
max170,463
mean62,327
median60,461
std17,771
q151,823
q370,379
iqr18,556
skew0.948
kurtosis2.962
n_outliers187
outlier_rate0.058
zero_rate0.000

total_housing_units numeric

skew=+12.05 13.7% rows beyond 1.5 IQR
rows3,222
null0 (0.0%)
unique3,074
min32.000
max3,363,093
mean39,403
median10,021
std120,103
q14,211
q325,939
iqr21,728
skew12.048
kurtosis240.507
n_outliers443
outlier_rate0.137
zero_rate0.000

owner_occupied numeric

skew=+9.52 13.3% rows beyond 1.5 IQR
rows3,222
null0 (0.0%)
unique3,001
min0.000
max1,552,164
mean25,552
median7,326
std67,553
q13,148
q318,864
iqr15,716
skew9.516
kurtosis146.904
n_outliers429
outlier_rate0.133
zero_rate3.10e-04

renter_occupied numeric

skew=+15.82 13.9% rows beyond 1.5 IQR
rows3,222
null0 (0.0%)
unique2,709
min28.000
max1,810,929
mean13,851
median2,580
std55,352
q11,004
q37,396
iqr6,392
skew15.822
kurtosis398.150
n_outliers449
outlier_rate0.139
zero_rate0.000

pct_renter numeric

rows3,222
null0 (0.0%)
unique1,925
min3.010
max100.000
mean27.349
median26.070
std8.564
q121.640
q331.657
iqr10.017
skew1.317
kurtosis4.412
n_outliers88
outlier_rate0.027
zero_rate0.000

annual_rent numeric

7.0% rows beyond 1.5 IQR
rows3,222
null10 (0.3%)
unique983
min3,564
max33,660
mean10,691
median9,816
std3,400
q18,616
q311,736
iqr3,120
skew1.763
kurtosis4.550
n_outliers225
outlier_rate0.070
zero_rate0.000

rent_to_income_ratio numeric

skew=+53.98
rows3,222
null9 (0.3%)
unique1,269
min6.100
max1,200
mean17.890
median17.060
std21.201
q115.100
q319.390
iqr4.290
skew53.980
kurtosis3,007
n_outliers107
outlier_rate0.033
zero_rate0.000

affordability_category categorical

top value is 99.1% of rows
rows3,222
null0 (0.0%)
unique3
top_valueAffordable
top_rate0.991
cardinality3
entropy0.078
entropy_ratio0.049
Top values (rank 1–20)
  1. Affordable — 3,192
  2. Moderately Burdened — 29
  3. Extremely Burdened — 1

hours_at_min_wage_for_rent numeric

6.9% rows beyond 1.5 IQR
rows3,222
null10 (0.3%)
unique229
min41.000
max387.000
mean122.882
median113.000
std39.085
q199.000
q3135.000
iqr36.000
skew1.763
kurtosis4.546
n_outliers222
outlier_rate0.069
zero_rate0.000

weeks_at_min_wage_for_rent numeric

6.9% rows beyond 1.5 IQR
rows3,222
null10 (0.3%)
unique71
min1.000
max9.700
mean3.072
median2.800
std0.978
q12.500
q33.400
iqr0.900
skew1.763
kurtosis4.567
n_outliers222
outlier_rate0.069
zero_rate0.000