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Download MATLAB Graphics and Data Visualization Cookbook (Quick Answers to Common Problems) djvu

Download MATLAB Graphics and Data Visualization Cookbook (Quick Answers to Common Problems) djvu

by Nivedita Majumdar,Swapnonil Banerjee

Author: Nivedita Majumdar,Swapnonil Banerjee
Subcategory: Computer Science
Language: English
Publisher: Packt Publishing (November 23, 2012)
Pages: 284 pages
Category: Technologies and Computers
Rating: 4.6
Other formats: rtf lrf docx lit

MATLAB supports an impressive variety of graph and visualization types. Unfortunately its default displays are not so impressive.

She has a PhD in Computational Sciences and Informatics. She has been developing data analysis tools and algorithms for the communications and life sciences industries for the past decade. She is deeply interested in visualization as a tool for insightful data exploration. MATLAB supports an impressive variety of graph and visualization types. Even the most basic plots can benefit from appearance improvements. That's where this book comes in.

Visualizing data is usually the best way to convey important engineering ideas and information, especially if the information is made up of many, many numbers.

With a host of practical recipes and step-by-step instructions, this book is the fast-track to stunning results. Visualizing data is usually the best way to convey important engineering ideas and information, especially if the information is made up of many, many numbers. The ability to visualize and plot data quickly and in many different ways is one of MATLAB’s most powerful features.

MATLAB Graphics & Data Visualization Cookbook" will serve as your handbook to help you know the right graphic to. .She has a PhD in Computational Sciences and Informatics.

MATLAB Graphics & Data Visualization Cookbook" will serve as your handbook to help you know the right graphic to showcase your data and teach you how to create it in clear step-by-step instructions. Tasks range from simple graphs using built-in MATLAB commands, to complex functions making frequently used customizations easy to implement.

Quick Answers to Common Problems. She is an enthusiastic proponent of MATLAB as the preferred environment for data visualization and algorithm prototyping. Swapnonil Banerjee is a theoretical physicist with a PhD in Physics and a BE in Electronics and Telecommunications Engineering.

target-oriented solutions to your problems with concise explanation. Books related to MATLAB Graphics and Data Visualization Cookbook.

MATLAB Graphics and Data Visualization Cookbook" will serve as your handbook in recipe format with ample screenshots  . Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation. For those who are already using MATLAB for their computational needs but need to also harness its powerful visualization capabilities.

Collection of data visualization recipes with functionalized versions of common tasks for easy integration into your data analysis workflow. Recipes cross-referenced with MATLAB product pages and MATLAB Central File Exchange resources for improved coverage. Includes hand created indices to find exactly what you need; such as application driven, or functionality driven solutions.

Use MATLAB to apply volume visualizations to your data as well as.

Use MATLAB to apply volume visualizations to your data as well as interactivity and animation, or to plot your data in 1, 2, 3 and higher data dimensions. MATLAB Graphics and Data Visualization Cookbook" will serve as your handbook to help you know the right graphic to showcase your data and teach you how to create it in clear step-by-step instructions.

Present your data in the clearest, most engaging way possible by harnessing the visualization power of MATLAB. With a host of practical recipes and step-by-step instructions, this book is the fast-track to stunning results.

Overview

Customizations used in the visualization recipes are made into functions for easy integration into your data analysis workflow Recipes are cross-referenced with MATLAB product pages and MATLAB Central File Exchange resources for improved coverage Includes hand created indices to find exactly what you need; such as application driven, or function driven

What you will learn from this book

Jumpstart your first MATLAB plot Say more with legends, annotations, labels, different layouts and color Overlay images and data on maps Make movies with map data and create stream particle animations Strengthen your knowledge of standard graph types and learn new advanced types Fix the resolution and format before employing the Publish command Common mistakes that people make and how to avoid them Visualization best practices illustrated with easily adaptable code What strategy to use to best display a given type of data

Approach

"MATLAB Graphics and Data Visualization Cookbook" will serve as your handbook in recipe format with ample screenshots. Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation.

Who this book is written for

For those who are already using MATLAB for their computational needs but need to also harness its powerful visualization capabilities.

In Detail

MATLAB's customizable graphics elements allow you to tailor your visualizations for exactly what you need to present; alter the figure and axis properties, lighting, transparency and camera position. Use MATLAB to apply volume visualizations to your data as well as interactivity and animation, or to plot your data in 1, 2, 3 and higher data dimensions

"MATLAB Graphics & Data Visualization Cookbook" will serve as your handbook to help you know the right graphic to showcase your data and teach you how to create it in clear step-by-step instructions.

Tasks range from simple graphs using built-in MATLAB commands, to complex functions making frequently used customizations easy to implement.

Learn about the key customizable elements in MATLAB graphics starting from figure and axis property settings, color, lighting, transparency and camera positioning to strategies for more advanced data visualization including adding interactivity and animation. Finish with recipes on presentation and publication.

Learn the techniques and easily customize the recipes to apply to your datasets.