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tables

@josca42/varro
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Preview denmark statistics fact tables and inspect their metadata

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name tables
description Preview denmark statistics fact tables and inspect their metadata

tables CLI

Inspect a denmark statistics fact table before loading it into Postgres and view its official table metadata.

Run the CLI from .claude/skills/tables:

python scripts/tables.py --help

view — preview a fact table

python scripts/tables.py view FOLK1A --rows 5
python scripts/tables.py view FOLK1A --db-format   # show the DB-ready schema
  • --rows/-n controls how many rows to display (default 10).
  • --db-format/-d runs the same processing used during ingestion (renames to lower-case, normalizes dtypes, parses date strings).

Output is always a column|dtype list followed by a pipe-delimited preview (TABLE.head(n)), which stays consistent whether you use the raw or DB-formatted view.

info — metadata snapshot

python scripts/tables.py info FOLK1A

Prints metadata for a single table, including id, title, description, unit and every dimension (text plus the coded values present in the metadata). The metadata is printed as XML. The XML is easy to feed into other tools or to scan quickly when deciding which dimensions to join.

python scripts/tables.py info FOLK1A --column "område"

Will print only the coded values ("id") and the text titles for the column specifiec. All unique values will be printed.

python scripts/tables.py info FOLK1A --normalize-col-names

Will normalize column names so they match the database schema. This means lowercasing col names and replacing å -> a, ø -> o, æ -> ae. So OMRÅDE becomes omrade.