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Interactive and Dynamic Graphics for Data Analysis

This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter;

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Visual Statistics

This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web;

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Interactive Graphics for Data Analysis

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical;

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Interactive Graphics for Data Analysis

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical;

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D3.js in Action

. Then, it explores practical techniques for content creation, animation, and representing dynamic data, including interactive graphics and data;

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Interactive GPU-based Visualization of Large Dynamic Particle Data

directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With;

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Making Sense of Data III

is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. The book also serves as a;

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An Introduction to Programming with IDL

, data analysis, and image processing. IDL's high-level language and powerful graphics capabilities allow users to write more flexible programs;

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Market Data Analysis Using JMP

: inline;">prepare market data for analysisuse and interpret sophisticated;

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Macromedia Flash Mx 2004

fundamentals and dynamic data integration. Simple step-by-step instructions peppered with plenty of visuals and a CD that includes lesson files and a;

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Displaying Time Series, Spatial, and Space-Time Data with R

Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R, Second Edition;

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XploRe - Learning Guide

guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing;

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Hands on Start to Wolfram/Alpha Notebook Edition

of both in a single, unified tool perfect for teaching and learning. Use free-form input to get instant answers to questions, create and customize;

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Statistical Analysis and Data Display

the analysis. The authors demonstrate how to analyze data-showing code, graphics, and accompanying tabular listings-for all the methods they;

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RStudio for R Statistical Computing Cookbook

from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data;

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Solving Mechanical Design Problems with Computer Graphics

This book acquaints the reader with interactive computer graphics and how they are being used in the analysis of mechanical design problems;

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Graphical Data Analysis with R

one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data;

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Graphical Data Analysis with R

one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data;

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Displaying Time Series, Spatial, and Space-Time Data with R

Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics;

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SVG Essentials

, and scripting SVG. Interactive examples online make it easy for you to experiment with SVG features in your web browser. Geared toward;

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Advances in 3D Image and Graphics Representation Analysis Computing and Inform

printing technologies; naked, dynamic and auxiliary 3D displays; VR/AR/MR devices; VR camera technologies; microprocessors for 3D data processing;

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Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology

printing technologies; naked, dynamic and auxiliary 3D displays; VR/AR/MR devices; VR camera technologies; microprocessors for 3D data processing;

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R Graphics

applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs Organized into five;

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IPython Interactive Computing and Visualization Cookbook

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for;

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Applications = Code + Markup - A Guide to the Microsoft Windows Presentation Foundation

Language (XAML) to develop applications for the WPF. You'll get expert guidance and hundreds of practical, hands-on examples-giving you the skills;

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