scientific-visualization
Overview
Effective scientific visualization communicates data clearly, honestly, and accessibly. Poor chart choices, misleading axes, or inaccessible color palettes can obscure findings or introduce bias. This guide covers the full workflow of scientific figure preparation: from selecting the right chart type for your data structure through color theory, accessibility, and journal submission formatting requirements.
Key Concepts
Chart Type and Data Type A
[Description truncada. Veja o README completo no GitHub.]