# data-visualization

Professional style presenting data via charts, graphs, and graphics. Clarity and accuracy above aesthetics.

## Color Palette

- Primary: Data-driven sequential or diverging palettes
- Background: White or very light gray (#F8F9FA)
- Accents: Highlight color for key data points (orange, red, or teal)

## Visual Elements

- Charts: bar, line, scatter, pie, treemap, heatmap
- Clear axis labels and gridlines (subtle)
- Data annotations and callouts
- Consistent visual encoding (color = category, size = magnitude)
- Legends placed close to data
- No chart junk—every pixel encodes information

## Typography

- Tabular-figures numeric font (Roboto Mono, IBM Plex Mono)
- Small, precise labels
- Hierarchy: chart title > axis labels > data labels > footnotes

## Best For

Statistical reports, research findings, business dashboards, scientific data, comparative analyses, trend visualizations