How Is Data Visualization Applied in Epidemiology?
Data visualization plays a crucial role in epidemiology by making complex data more accessible and understandable. Key aspects include:
1. Graphical Representation: Using bar charts, histograms, scatter plots, and line graphs to represent data trends and patterns. 2. Geospatial Analysis: Creating maps to visualize the geographical distribution of diseases and health outcomes. 3. Interactive Dashboards: Developing dynamic dashboards using tools like Tableau or Power BI to allow stakeholders to interact with data in real-time.
