Source: /home/coolhand/datasets/accessibility-atlas/who_disability_prevalence.json
Saturn profiled 1 rows across 5 columns. The stats below are deterministic and machine-readable; the prose is a language-model interpretation of those stats (opt-in, added after the fact, never sees raw rows).
!pip install saturn-dissect
import subprocess
subprocess.run([
"saturn", "analyze", "/home/coolhand/datasets/accessibility-atlas/who_disability_prevalence.json",
"--findings", "accessibility-atlas-who_disability_prevalence.json",
"--llm", "anthropic:claude-opus-4-7",
])This dataset is a single-row JSON document at who_disability_prevalence.json, containing 5 top-level fields that appear to be nested containers rather than tabular columns: gho_data, metadata, sdg_disability_indicators, who_reference_statistics, and world_bank_health_indicators. Because the file holds only one record and every column was skipped as 'unknown' kind, there is no distributional signal to chart at this level. The structure suggests this is a reference compilation aggregating WHO GHO data, SDG disability indicators, WHO reference statistics, and World Bank health indicators under a metadata wrapper. To make this analysable, the next step is to expand each nested field into its own table and profile those individually rather than treating the file as flat.
citing: row_count · column_count · columns · kinds · source
saturn.schema() · 5 columns
| column | kind | n | null% | unique | alerts |
|---|---|---|---|---|---|
| metadata | unknown | 1 | 0.0% | — | skipped |
| who_reference_statistics | unknown | 1 | 0.0% | — | skipped |
| sdg_disability_indicators | unknown | 1 | 0.0% | — | skipped |
| world_bank_health_indicators | unknown | 1 | 0.0% | — | skipped |
| gho_data | unknown | 1 | 0.0% | — | skipped |
| column | kind | null % |
|---|---|---|
| metadata | unknown | 0.0% |
| who_reference_statistics | unknown | 0.0% |
| sdg_disability_indicators | unknown | 0.0% |
| world_bank_health_indicators | unknown | 0.0% |
| gho_data | unknown | 0.0% |
The column is labelled "metadata" but saturn skipped profiling it, so its type and contents are unknown. Only 1 row was examined with a null_rate of 0.0, and no unique count or other statistics were captured. Without further evidence, nothing can be said about its distribution or usefulness.
Treatment: Re-profile with a parser appropriate to the underlying type before deciding how to use it.
saturn.columns["metadata"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
This column 'who_reference_statistics' was skipped by the profiler with only 1 row observed and no computed statistics. Kind is unknown and n_unique is null, so its actual content and structure are undetermined from this evidence. The name suggests it may hold WHO (World Health Organization) reference statistics, but nothing in the payload confirms type, cardinality, or distribution.
Treatment: Re-profile with a larger sample before deciding; current evidence is insufficient to act on.
saturn.columns["who_reference_statistics"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
This column, sdg_disability_indicators, was skipped by the profiler with only 1 row observed and no computed statistics. Without unique counts, type inference, or value samples, its content and purpose cannot be determined from the evidence. The name suggests SDG-aligned disability metrics, but this is not corroborated by any stats.
Treatment: Re-profile with a larger sample before deciding; currently unusable.
saturn.columns["sdg_disability_indicators"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
This column is labelled 'world_bank_health_indicators' but saturn skipped profiling it, so its kind is unknown and no descriptive statistics were computed. The only signals available are a single row (n=1) with no nulls; uniqueness, type, and value distribution are all missing. Without further evidence, its actual content and structure cannot be characterised.
Treatment: Re-profile or inspect manually before any downstream use; current evidence is insufficient.
saturn.columns["world_bank_health_indicators"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
The column `gho_data` was skipped by the profiler, so no type, uniqueness, or distribution statistics are available. The only facts on hand are that it contains 1 row with a 0.0 null rate. Without further inspection it is impossible to say what this field represents.
Treatment: Re-profile or inspect manually before any downstream use.
saturn.columns["gho_data"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
click to copy
@misc{saturn-accessibility-atlas-who-disability-prevalence-2026,
author = {Steuber, Luke},
title = {Saturn reading: accessibility atlas who disability prevalence},
year ={2026},
howpublished = {\url{https://dr.eamer.dev/saturn/view/accessibility-atlas-who_disability_prevalence}},
note = {Profiled with saturn-dissect v0.2.0, prompt saturn-insight-v2, model anthropic:claude-opus-4-7},
}
Steuber, L. (2026). Saturn reading: accessibility atlas who disability prevalence. Source: /home/coolhand/datasets/accessibility-atlas/who_disability_prevalence.json. Profiled with saturn-dissect v0.2.0 (saturn-insight-v2, anthropic:claude-opus-4-7). Retrieved from https://dr.eamer.dev/saturn/view/accessibility-atlas-who_disability_prevalence