Data Visualization

Data visualization is the process of abstracting data to provide a visual data representation that enhances the user’s ability to comprehend the meaning of the data
- The goal is to allow the user to quickly and efficiently see the data’s big picture by identifying trends, patterns, and relationships
The Need for Data Visualization
- The ability to zoom in and out, drill down and up, filter, etc. is one of the many advantages of current breed of data visualization tools
- Another advantage of data visualization is that it makes it easier to understand data—in particular, large amounts of data

The Science of Data Visualization

Data visualization has its roots in cognitive sciences, which is the study of how the human brain receives, interprets, organizes, and processes information
Data visualization can be used to explore and discover data insights by applying:
- Pattern recognition, spatial awareness, and aesthetics

Understanding the Data - In general, there are two types of data: