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graph

Create and repair publication-quality plots, maps, and regression tables.

4|Updated May 3, 2026
Search Tags:#graphics#visualization#matplotlib#maps#regression tables#fixing figures
One-click install
npx skills add https://github.com/zbsaygin/econ-skills --skill graph-zbsaygin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graph
Source: https://github.com/zbsaygin/econ-skills/tree/main/graph
Command: npx skills add https://github.com/zbsaygin/econ-skills --skill graph-zbsaygin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation, fixing, and styling of publication-quality graphs and tables, saving time and improving visual clarity for academic work.

Core Features & Use Cases

  • Graph Generation: Plot and customize figures, including scatter plots, Lorenz curves, choropleth maps, and regression tables.
  • Fix and Style: Debug existing visualizations, correct styling issues, and apply consistent visual standards for professional presentations.
  • Use Case: Generate a publication-quality Lorenz curve with proper labeling, color schemes, and layout, ready for inclusion in a LaTeX document or presentation slide.

Quick Start

Ask to create a scatter plot of your dataset, specifying axes labels and color schemes, then save as a PDF for your report.

Frequently Asked Questions about graph

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

FAQPage Schema
How do I create publication-quality matplotlib figures for a LaTeX document?▼

Publication-quality matplotlib figures are generated by applying consistent visual standards, correcting styling and layout issues, and exporting results in high-resolution formats suitable for LaTeX documents.

Can I fix styling and layout issues in existing matplotlib visualizations?▼

Yes, existing matplotlib visualizations can be debugged and fixed by correcting styling issues, adjusting layouts, and applying predefined visual preferences to achieve consistent professional presentation standards.

Does this visualization Skill support generating choropleth maps with geopandas?▼

Yes, choropleth maps are supported using geopandas or similar visualization libraries, allowing you to plot geographic data and customize maps with proper labeling and color schemes for academic presentations.

What's the best way to plot a Lorenz curve with proper labeling and color schemes?▼

The best way to plot a Lorenz curve with proper labeling and color schemes involves generating the figure, applying consistent visual standards, and exporting it as a high-resolution PDF ready for inclusion in academic reports.

Do I need matplotlib and geopandas to generate regression tables and scatter plots?▼

Matplotlib is required to generate scatter plots and regression tables, while geopandas or similar visualization libraries are needed specifically when generating and customizing geographic maps.

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