Visualization aims to generate visual representations of datasets to help people analyze data and make decisions more effectively. It is needed when datasets are large and complex. Two examples of public health decisions that could benefit from COVID-19 visualization are monitoring case numbers over time and by location, and tracking hospital capacity and resources, as visual representations can more easily show trends and highlight areas that need attention.

1. Visualization aims to generate visual representations of datasets to help people carry out data
analytics and decision-making tasks more effectively.
(a) Please explain when visualization is needed?
(b) Consider the scenario of COVID- 19 control and prevention. Give TWO examples of public-
health decision-making that can benefit from the visualization, and explain the reasons.