What are the Popular Data Analytics Tools in Epidemiology?
Several data analytics tools are popular among epidemiologists. Some of the most commonly used tools include:
R: An open-source programming language widely used for statistical analysis and visualization. Python: Known for its versatility, Python offers numerous libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization. SAS: A software suite developed for advanced analytics, multivariate analysis, and data management. SPSS: A software package used for statistical analysis, particularly suited for social science research. Tableau: A powerful data visualization tool that helps in creating interactive and shareable dashboards.