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

faostat-viz

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

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires faostat_search_codes, faostat_get_data, chart.js, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill provides interactive visualizations for FAOSTAT data, enabling users to easily interpret complex statistical information.

Core Features & Use Cases

  • Data Visualization: Generate line charts, bar charts, scatter plots, and stacked bar charts from FAOSTAT data.
  • Chart Customization: Customize chart types, colors, and configurations to suit specific data analysis needs.
  • Use Case: Visualize the trend of wheat yields over time for multiple countries to identify patterns and trends.

Quick Start

Generate a line chart of wheat yields over time for France, USA, and India.

Frequently Asked Questions about faostat-viz

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

FAQPage Schema
How do I visualize FAOSTAT data using interactive charts?▼

Visualizing FAOSTAT data requires retrieving datasets via FAOSTAT MCP tools and rendering them into interactive HTML charts using Chart.js. This Skill generates line, bar, scatter, and stacked bar charts from the retrieved statistical information.

What types of charts can I generate from agricultural statistics?▼

You can generate line charts, bar charts, scatter plots, and stacked bar charts. These chart types support customizing visual configurations to analyze agricultural statistics trends like wheat yields across multiple countries.

Do I need FAOSTAT MCP tools to create data visualizations?▼

Yes, retrieving data requires FAOSTAT MCP tools. The visualization process depends on the faostat_search_codes and faostat_get_data dependencies to fetch statistical datasets before rendering them with Chart.js.

Can I customize chart colors and configurations for FAOSTAT datasets?▼

Yes, chart customization is supported. You can modify chart types, colors, and specific configurations to suit your data analysis needs when visualizing complex statistical information retrieved from FAOSTAT.

What is the best way to compare wheat yield trends across different countries?▼

Generating a line chart is an effective way to compare wheat yield trends over time. By plotting multiple countries on the same chart, you can easily identify patterns and trends in the statistical data.

Why are my interactive HTML charts not rendering properly?▼

Rendering failures often occur when the Chart.js dependency is missing or the FAOSTAT data retrieval tools fail to fetch datasets. Ensure both the data retrieval tools and rendering components are correctly configured.

Related Skills

Explore More Data & Analytics Skills→
berba-qberba-q
6

faostat-climate

Analyze agricultural emissions and climate trends using FAOSTAT data.

Community
Advanced
ZanderRussZanderRuss
18

plotly

Generate interactive and static data visualizations from Python with pandas DataFrames.

Community
Intermediate
arbazkhan971arbazkhan971
26

chart

Create accessible bar, line, scatter, heatmap, treemap, and sankey charts from tabular datasets.

Community
Advanced
Mohamed-ElkahefMohamed-Elkahef

csv-data-visualizer

Generate interactive Plotly visualizations and statistical profiles from CSV datasets.

Community
Intermediate