What is Data Visualization?
Data visualization allows for large amounts of data and information to be made more easily accessible through the use of visuals such as graphs, charts, maps, and many other creative and means and mediums. Some of the most common ways in which data is visualized are through bar graphs, pie charts, scatter plots, and heat maps.

Why is Data Visualization Important?
Health sciences produces a large amount of information which can lead to large swaths of data and numbers that does not make sense when viewing it all together. This is where data visualization comes along to help organize and present important information more legibly and visually pleasing to researchers, doctors, clinicians, students, and the wider public as a whole. Proper data visualization allows for greater accessibility and awareness in which important trends and patterns can be highlighted and thus attention being brought to problems facing patients and broader populations.

How to Perform Data Visualization?
Many applications, programs, and tools allow for the translation of data into visually pleasing and informative charts and graphs. These various resources can be divided into the following categories:

• Point-Click
• Dashboards
• Programing
• Mapping
• Design Tools
• Network Analysis