Source: /home/coolhand/html/datavis/data_trove/data/quirky/phenomena.json
Saturn profiled 1 rows across 7 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/html/datavis/data_trove/data/quirky/phenomena.json",
"--findings", "quirky-phenomena.json",
"--llm", "anthropic:claude-opus-4-7",
])This dataset is a single-row JSON document at phenomena.json containing 7 top-level fields: bigfoot, crashes, earthquakes, ghosts, metadata, meteorites, and ufos. Every column was flagged as 'unknown' kind and 'skipped' during profiling, which strongly suggests each field holds a nested structure (array or object) rather than a scalar — the file is a container of sub-datasets, not a flat table. The first thing to look at is the shape of each nested field individually; treat phenomena.json as an index and profile each key as its own dataset. Start with 'metadata' to understand provenance, then expand the phenomena collections (ufos, bigfoot, ghosts, etc.) one by one.
citing: row_count · column_count · columns · kinds · source
saturn.schema() · 7 columns
| column | kind | n | null% | unique | alerts |
|---|---|---|---|---|---|
| metadata | unknown | 1 | 0.0% | — | skipped |
| ufos | unknown | 1 | 0.0% | — | skipped |
| bigfoot | unknown | 1 | 0.0% | — | skipped |
| earthquakes | unknown | 1 | 0.0% | — | skipped |
| meteorites | unknown | 1 | 0.0% | — | skipped |
| crashes | unknown | 1 | 0.0% | — | skipped |
| ghosts | unknown | 1 | 0.0% | — | skipped |
| column | kind | null % |
|---|---|---|
| metadata | unknown | 0.0% |
| ufos | unknown | 0.0% |
| bigfoot | unknown | 0.0% |
| earthquakes | unknown | 0.0% |
| meteorites | unknown | 0.0% |
| crashes | unknown | 0.0% |
| ghosts | unknown | 0.0% |
The column is named "metadata" but saturn skipped profiling it, so its type and contents are unknown. Only 1 row was seen with a 0.0 null rate, and no uniqueness or distributional stats were computed. There is no evidence to characterise the values further.
Treatment: Re-profile with a supported parser before deciding whether to use or drop.
saturn.columns["metadata"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
The column "ufos" was skipped by the profiler, leaving its kind unknown and no descriptive statistics available. Only one row was observed (n=1) with a null rate of 0.0, but unique count and all other signals are missing. Without further evidence, neither the data type nor the semantic role can be inferred.
Treatment: Re-profile or inspect manually before deciding; currently uninformative.
saturn.columns["ufos"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
The column 'bigfoot' was skipped by the profiler and only one row was observed (n=1). No type, uniqueness, or distribution statistics are available, so its purpose cannot be inferred from the evidence.
Treatment: Re-profile with more rows or inspect manually before any downstream use.
saturn.columns["bigfoot"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
The column 'earthquakes' was skipped by the profiler and only 1 row was observed, with no unique count, no statistics, and a null rate of 0.0. There is no evidence about its data type, distribution, or content, so its purpose cannot be inferred from this payload.
Treatment: Re-profile with a larger sample before deciding how to handle this column.
saturn.columns["earthquakes"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
This column was skipped by the profiler, so its semantics are unknown beyond the name 'meteorites'. Only 1 row was observed with no nulls, but no unique count or other statistics were computed. There is no evidence to infer type, distribution, or content.
Treatment: Re-profile with a supported parser before deciding on downstream use.
saturn.columns["meteorites"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
The column 'crashes' was skipped by the profiler with only 1 row observed and no statistics computed. Its kind is unknown and no unique count, distribution, or value samples are available, so its semantics cannot be inferred from the evidence.
Treatment: Re-profile on a larger sample before deciding on any downstream use.
saturn.columns["crashes"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
The column 'ghosts' was skipped by the profiler, leaving its kind unknown. With only 1 row observed and no statistics computed, there is nothing to characterise its content or distribution.
Treatment: Re-profile with a larger sample before deciding; insufficient evidence to use.
saturn.columns["ghosts"].stats
| stat | value |
|---|---|
| n | 1 |
| nulls | 0 (0.0%) |
| unique | — |
| alert: skipped | no profiler for kind=unknown |
click to copy
@misc{saturn-quirky-phenomena-2026,
author = {Steuber, Luke},
title = {Saturn reading: quirky phenomena},
year ={2026},
howpublished = {\url{https://dr.eamer.dev/saturn/view/quirky-phenomena}},
note = {Profiled with saturn-dissect v0.2.0, prompt saturn-insight-v2, model anthropic:claude-opus-4-7},
}
Steuber, L. (2026). Saturn reading: quirky phenomena. Source: /home/coolhand/html/datavis/data_trove/data/quirky/phenomena.json. Profiled with saturn-dissect v0.2.0 (saturn-insight-v2, anthropic:claude-opus-4-7). Retrieved from https://dr.eamer.dev/saturn/view/quirky-phenomena