Mathematica Data Visualization
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- 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
Book DetailsLanguage : English
Paperback : 142 pages [ 235mm x 191mm ]
Release Date : August 2014
ISBN : 1783282991
ISBN 13 : 9781783282999
Author(s) : Nazmus Saquib
Topics and Technologies : All Books, Big Data and Business Intelligence
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What you will learn from this book
- Understand the structure of the 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
Mathematica, developed and maintained by Wolfram Research, is a trusted and famous tool used to analyze and visualize data. The programming approach devised in Mathematica is very easy to learn, and it provides efficient functions to manipulate different kinds of datasets. Along with its core language, it provides users with many useful visualization packages to view their data through different lenses. It is used by researchers, students, finance and business analysts, engineers, data scientists, and data enthusiasts. The dynamic and interactive functionalities help users build custom visualizations seamlessly.
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.
This book takes a comprehensive project-based approach focusing on core visualization features to help you visualize a wide range of datasets.
Who this book is for
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.