Saquib Mathematica data visualization

Create and prototype interactive data visualizations using Mathematica
1. Auflage 2025
ISBN: 978-1-78328-300-2
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 146 Seiten

Key FeaturesBook DescriptionIf 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
Who this book is for

Autoren/Hrsg.

Saquib, Nazmus

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Über Autor(innen)

Saquib Nazmus :

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.