Mathematica Data Visualization
| Author | : | |
| Rating | : | 4.93 (883 Votes) |
| Asin | : | 1783282991 |
| Format Type | : | paperback |
| Number of Pages | : | 142 Pages |
| Publish Date | : | 2017-09-27 |
| Language | : | English |
DESCRIPTION:
Godwin said A decent intro to data visualization using Mathematica. Disclaimer: I got a free copy of the e-book. That said, I'll keep my review as objective as possible.This book is about data visualization using Mathematica, that means this book is not going to teach you how to master Mathematica. The fact that the book is only about 1A decent intro to data visualization using Mathematica Godwin Disclaimer: I got a free copy of the e-book. That said, I'll keep my review as objective as possible.This book is about data visualization using Mathematica, that means this book is not going to teach you how to master Mathematica. The fact that the book is only about 140 pages should give that away, since Mathematica is a huge programming tool and any serious book that teaches you how to master it should be about 500 pages at least.One of the advantages of this book is that it concentrates on the one aspect of Mathematica - Graphics - that's not common among available Mathem. 0 pages should give that away, since Mathematica is a huge programming tool and any serious book that teaches you how to master it should be about 500 pages at least.One of the advantages of this book is that it concentrates on the one aspect of Mathematica - Graphics - that's not common among available Mathem. Nazmus is a super skilled professional A. Zubarev The is book is packed with insightful examples to producing all (or most) the most common graphs and charts a data scientist may need in ones professional life. What I actually initially expected is to read the book for a few weeks, but finished it in one evening. Pity, I could not install comparable software on my Linux laptop to try the visualizations out myself. But I was touched by the sheer visualization offerings. Mathematica seems to be the only one that offers Paired Histograms, and I wasn't expecting it to feature a full support to Geo-visualizations (maps and paths). Rick Rezinas said Nice look at visualization. It a fantastic lightweight introduction to creating a variety of visualizations using. It starts off with a general introduction to the topic, along with some of the ways of thinking about data, and then moves on to the practice and art of looking at data and sharing data. The authors definitely channel Tufte and other greats in the field, sharing useful guidance for selecting color schemes, simplifying, and creating interactive visualizations. They are not limited in focus, analyzing social graphs, maps and paths, economic data, lists, and the physical form of currencies in
Saquib is also interested in the applications of creative computing in education and social welfare.. 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. Nazmus SaquibNazmus Saquib is a researcher at
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. About the AuthorNazmus SaquibNazmus 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.
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.. Along the way, the dynamic interactivity and graphics packages are also introduced. Create and prototype interactive data visualizations using MathematicaAbout This BookUnderstand visualization functions used by scientists, engineers, and financial analystsBuild a visualization system from scratch using low-level graphics primitives and interactive functionalitiesLearn how to visualize a wide range of datasets with the help of detailed explanations of code and theoryWho This Book Is ForIf you are planning to create data analysis and visualization tools in the