This book takes a comprehensive project-based approach focusing on core visualization features to help you visualize a wide range of datasets.
If you are planning to perform data analysis and visualization 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 with Mathematica.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Create and prototype interactive data visualizations using Mathematica
About This Book
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
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.
Nazmus Saquib
Nazmus Saquib is a researcher at the MIT Media Lab in Cambridge, MA, where he works on data visualization, machine learning, and social computing projects. He has a bachelor's degree in Physics and a master's degree in Computational Engineering and Applied Mathematics. Saquib has been programming 3D games since middle school. As a result, he has developed and maintains a keen interest in game engines, graphics, and visualization. Throughout his academic years, he worked on a wide range of research projects, including acoustics, particle physics, augmented reality, social data mining, and uncertainty quantification. Saquib is also interested in the applications of creative computing in education and social welfare.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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