data trove iso 639 3 language codes

source /home/coolhand/html/datavis/data_trove/data/linguistic/language-families/iso-639-3-aliases.json 1 rows 2 columns profiled 2026-06-22 raw JSON static .html .ipynb Report Notebook

Reading

dataset summary · low confidence anthropic:default

This dataset is a single-record JSON file related to ISO 639-3 language aliases, likely containing structured linguistic metadata about language family classifications. With only 1 row and 2 columns — both flagged as 'unknown' kind and skipped during profiling — there is essentially no statistical signal available for analysis. The file likely contains deeply nested or complex JSON structures (aliases and metadata) that a standard profiler cannot flatten automatically. The most valuable next step is to manually inspect the raw JSON structure to understand nesting depth and extract usable fields before any meaningful analysis can proceed.

citing: row_count · column_count · columns[0].alerts · columns[1].alerts · columns[0].null_rate · columns[1].null_rate

Charts the summary said to look at first

Schema

2 columns

Per-column summary. Click column name to jump to its detail.
				Alerts
metadata	unknown	0.0%	—	skipped
aliases	unknown	0.0%	—	skipped

metadata

unknown metadata skipped

This column contains only a single row and was skipped by the profiler, yielding no distributional statistics. With n=1 and no unique-count or type information available, nothing meaningful can be inferred about its content or role beyond its name ('metadata'), which suggests ancillary descriptive data. No surprises can be flagged due to the absence of evidence. Treatment: Inspect raw value manually before deciding whether to parse, drop, or expand into structured fields. low · anthropic:default

n: 1
nulls: 0 (0.0%)
unique: —

aliases

unknown other skipped

The column 'aliases' contains only 1 row and was marked 'skipped' by the profiler, yielding no distributional statistics. With n=1 and no uniqueness or type information available, nothing meaningful can be inferred about its content or role beyond the column name suggesting it may store alternative names or identifiers. The near-total absence of profiling data is itself the primary signal here. Treatment: Manually inspect raw values; re-profile with a larger sample before assigning a role or applying any transformation. low · anthropic:default

n: 1
nulls: 0 (0.0%)
unique: —