skills.rest
berba-q
berba-qCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

faostat-map

Generate interactive choropleth maps of country-level FAOSTAT metrics.

6|1|Updated Apr 14, 2026
Search Tags:#data visualization#geospatial analysis#FAOSTAT#choropleth map#global analysis
One-click install
npx skills add https://github.com/berba-q/faostat-skills --skill faostat-map
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: faostat-map
Source: https://github.com/berba-q/faostat-skills/tree/main/skills/map
Command: npx skills add https://github.com/berba-q/faostat-skills --skill faostat-map

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires plotly, pandas, kaleido, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an interactive choropleth map for visualizing country-level FAOSTAT metrics, enabling users to analyze global distribution and patterns.

Core Features & Use Cases

  • Interactive Choropleth Maps: Visualize FAOSTAT metrics such as production, yield, trade flow, emissions, temperature change, and more.
  • Customization: Choose from various metrics, years, and regions for detailed analysis.
  • Use Case: Visualize the global distribution of wheat production or the prevalence of undernourishment across countries.

Quick Start

Generate a map of FAOSTAT metric 'Crop production' for the year 2022.

Frequently Asked Questions about faostat-map

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

FAQPage Schema
How do I create a choropleth map for FAOSTAT data?▼

To create a choropleth map for FAOSTAT data, you can generate interactive visualizations of country-level metrics by specifying your desired indicator, year, and region. This allows you to visualize global distributions like crop production or emissions.

What types of global metrics can I visualize using FAOSTAT data?▼

You can visualize a wide range of FAOSTAT metrics globally, including crop production, yield, trade flow, emissions, temperature change, and the prevalence of undernourishment. The visualizations map these indicators across countries.

Can I customize the choropleth map by year and region?▼

Yes, you can customize the choropleth map by filtering for specific years and regions. This allows for detailed global analysis of how FAOSTAT metrics vary geographically and over time.

Do I need Plotly and Pandas to generate geospatial visualizations?▼

Yes, you need Plotly and Pandas to generate these geospatial visualizations. Plotly handles the interactive choropleth map rendering, while Pandas is used for the underlying data manipulation required to prepare the FAOSTAT metrics.

What's the best way to analyze global patterns in agricultural production data?▼

The best way to analyze global patterns in agricultural production data is by generating an interactive choropleth map. Visualizing country-level FAOSTAT metrics enables you to quickly identify geographic distribution and regional trends.

Are there limitations to visualizing global data with choropleth maps?▼

A limitation of choropleth maps is that they require country-level data to render accurately. If FAOSTAT metrics are missing for certain countries or regions, the visualization will display gaps in the global analysis.

Related Skills

Explore More Data & Analytics Skills→
SenseTime-FVGSenseTime-FVG
8

python-dataviz

Generate static and interactive charts from tabular data using matplotlib, seaborn, and plotly.

Official
Intermediate
Weiwei-MaoWeiwei-Mao
2

plotly

Create interactive, web-embeddable charts with over 40 chart types.

Community
Intermediate
vishalsachdevvishalsachdev
1

map-generator

Generate interactive Leaflet maps with markers, popups, and GeoJSON layers.

Community
Intermediate
berba-qberba-q
6

faostat-viz

Generate interactive HTML charts from FAOSTAT data using Chart.js.

Community
Intermediate