Several software tools are popular in epidemiology for data visualization:
R and RStudio: These open-source tools are highly extensible and have numerous packages for creating sophisticated visualizations. Python: With libraries such as Matplotlib, Seaborn, and Plotly, Python is another powerful tool for data visualization. Tableau: Known for its user-friendly interface and interactive visualizations, Tableau is widely used in public health. ArcGIS: This tool is specifically designed for geographical data and is essential for mapping and spatial analysis. Excel: Although basic, Excel is still commonly used for quick and simple visualizations.
