Mathematica Data Visualization [Repost]

Understand visualization functions used by scientists, engineers, and financial analysts
Build a visualization system from scratch using low-level graphics primitives and interactive functionalities
Learn how to visualize a wide range of datasets with the help of detailed explanations of code and theory
Who This Book Is For
If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
What You Will Learn
Understand some widely used datasets in science, engineering, finance, statistics, and business
Write Mathematica programs to create stunning, interactive, and beautiful visualizations
Create time series visualizations in different scenarios to find underlying patterns in time series data
Build a protein molecule visualization tool and create basic isocontour and isosurface visualizations in Mathematica
Create statistical plots and charts and learn the basics of visualizing high dimensional datasets
Develop a word frequency visualization tool
Build graph network visualizations and interactive chord charts
In Detail
Mathematica, developed and maintained by Wolfram Research, is a trusted and popular tool used to analyze and visualize data.
This book begins by introducing you to the Mathematica environment and the basics of dataset loading and cleaning. You will then learn about the different kinds of widely used datasets so that you are comfortable with the later chapters. Then, in the subsequent chapters, you will learn about time series, scientific, statistical, information, and map visualizations. Each topic is demonstrated by walking you through an example project. Along the way, the dynamic interactivity and graphics packages are also introduced. Finally, the book ends with a brief discussion of color maps and aesthetics issues.
Using this book, you will learn how to build visualizations from scratch, quickly and efficiently.