What this book covers
Chapter 1, Visualization as a Tool to Understand Data, introduces the reader to the world of data visualization. The importance of visualization is discussed, along with the description of different datasets that will be covered.
Chapter 2, Dissecting Data Using Mathematica, gives a short introduction to Mathematica programming in the context of data analysis and operations. It also introduces the readers to basic plots.
Chapter 3, Time Series and Scientific Visualization, deals with time series and scalar fields, detailing some methods of visualizing these types of data in Mathematica.
Chapter 4, Statistical and Information Visualization, teaches some methods of statistical and information visualization using several mini projects.
Chapter 5, Maps and Aesthetics, develops a map visualization using a geographic shape file. Some essential data visualization aesthetics are also discussed.
