econ-visualization

Original：🇺🇸 English

Translated

Create publication-quality charts and graphs for economics papers.

2installs

Sourcemeleantonio/awesome-econ-ai-stuff

Added on2026-02-08

NPX Install

npx skill4agent add meleantonio/awesome-econ-ai-stuff econ-visualization

SKILL.md Content

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Econ Visualization

Purpose

This skill creates publication-quality figures for economics papers, using clean styling, consistent scales, and export-ready formats.

When to Use

Building figures for empirical results and descriptive analysis
Standardizing chart style across a paper or presentation
Exporting figures to PDF or PNG at journal quality

Instructions

Follow these steps to complete the task:

Step 1: Understand the Context

Before generating any code, ask the user:

What is the dataset and key variables?
What chart type is needed (line, bar, scatter, event study)?
What output format and size are required?

Step 2: Generate the Output

Based on the context, generate code that:

Uses a consistent theme for academic styling
Labels axes and legends clearly
Exports figures at high resolution
Includes reproducible steps for data preparation

Step 3: Verify and Explain

After generating output:

Explain how to regenerate or update the plot
Suggest alternatives (log scales, faceting, smoothing)
Note any data transformations used

Example Prompts

"Create an event study plot with confidence intervals"
"Plot GDP per capita over time for three countries"
"Build a scatter plot with fitted regression line"

Example Output

r

# ============================================
# Publication-Quality Figure in R
# ============================================
library(tidyverse)

df <- read_csv("data.csv")

ggplot(df, aes(x = year, y = gdp_per_capita, color = country)) +
  geom_line(size = 1) +
  scale_y_continuous(labels = scales::comma) +
  labs(
    title = "GDP per Capita Over Time",
    x = "Year",
    y = "GDP per Capita (USD)",
    color = "Country"
  ) +
  theme_minimal(base_size = 12) +
  theme(
    legend.position = "bottom",
    panel.grid.minor = element_blank()
  )

ggsave("figures/gdp_per_capita.pdf", width = 7, height = 4, dpi = 300)

Requirements

Software

R 4.0+ or Python 3.10+

Packages

For R:
```
ggplot2
```
,
```
scales
```
,
```
dplyr
```
For Python:
```
matplotlib
```
,
```
seaborn
```
(optional alternative)

Best Practices

Use vector formats (PDF, SVG) for publication
Keep labels concise and readable
Document data filters used in the figure

Common Pitfalls

Overcrowded plots without clear labeling
Inconsistent scales across figures
Exporting low-resolution images

References

Changelog

v1.0.0

Initial release