gcs-okonomi-data

Query and summarize Danish agricultural economic data from GCS Parquet datasets.

39|15|Updated Nov 16, 2024
One-click install
npx skills add https://github.com/Klimabevaegelsen/landbruget.dk --skill gcs-okonomi-data
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gcs-okonomi-data
Source: https://github.com/Klimabevaegelsen/landbruget.dk/tree/main/.claude/skills/gcs-data-catalog/okonomi
Command: npx skills add https://github.com/Klimabevaegelsen/landbruget.dk --skill gcs-okonomi-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables streamlined access to Danish agricultural economic data stored in Google Cloud Storage, consolidating subsidies, farm financials, property values, CVR enrichment, and ownership data for analysis.

Core Features & Use Cases

  • Data catalog and access: query subsidies, land values, CVR enrichment, and ownership data across Silver and Gold layers.
  • Cross-domain joins and insights: join subsidies with property owners and CVR data to produce per-CVR summaries and geographic statistics.
  • Use Case: A data analyst wants a per-CVR subsidy overview combining basic payments, organic subsidies, and land area.

Quick Start

Load subsidies and property ownership datasets from the GCS bucket and compute per-CVR subsidies.

Frequently Asked Questions about gcs-okonomi-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query Danish agricultural subsidies data stored in Google Cloud Storage?

You can query Danish agricultural subsidies data by loading Parquet files from Google Cloud Storage Silver and Gold layers, then joining subsidies with property owners and CVR data to generate per-CVR summaries.

Can I join Danish farm financials with property ownership data using a CVR number?

Yes, you can join Danish farm financials with property ownership data using a CVR number. The Skill aligns with provided schemas and join keys to merge subsidies, property values, and ownership datasets across Silver and Gold layers.

What is the best way to aggregate land area and organic subsidies for Danish farms?

The best way to aggregate land area and organic subsidies for Danish farms is to query the Gold layer Parquet datasets in Google Cloud Storage. This Skill joins subsidies with land area data to produce per-CVR analytic summaries.

Does this Skill support querying property values and CVR enrichment data across Silver and Gold layers?

Yes, this Skill supports querying property values and CVR enrichment data across Silver and Gold layers. It accesses Google Cloud Storage Parquet datasets to consolidate farm financials, land values, and ownership data for analysis.

Do I need Google Cloud Storage Parquet datasets to analyze Danish agricultural economic data?

Yes, you need Google Cloud Storage Parquet datasets to analyze Danish agricultural economic data with this Skill. It queries subsidies, farm financials, and ownership data directly from GCS Silver and Gold layers using provided schemas and join keys.