LEADER 05068nam 2200673 450 001 9910821951103321 005 20200520144314.0 010 $a1-78328-300-9 035 $a(CKB)2670000000569439 035 $a(EBL)1800642 035 $a(SSID)ssj0001374666 035 $a(PQKBManifestationID)11746093 035 $a(PQKBTitleCode)TC0001374666 035 $a(PQKBWorkID)11326402 035 $a(PQKB)11571355 035 $a(MiAaPQ)EBC1800642 035 $a(Au-PeEL)EBL1800642 035 $a(CaPaEBR)ebr10944915 035 $a(CaONFJC)MIL647864 035 $a(OCoLC)892044300 035 $a(PPN)227997832 035 $a(EXLCZ)992670000000569439 100 $a20141014h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMathematica data visualization $ecreate and prototype interactive data visualizations using Mathematica /$fNazmus Saquib 210 1$aBirmingham, [England] :$cPackt Publishing,$d2014. 210 4$dİ2014 215 $a1 online resource (146 p.) 225 1 $aCommunity Experience Distilled 300 $aIncludes index. 311 $a1-322-16607-2 311 $a1-78328-299-1 327 $aCover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Visualization as a Tool to Understand Data; The importance of visualization; Types of datasets; Tables; Scalar fields; Time series; Graphs; Text; Cartographic data; Mathematica as a tool for visualization; Getting started with Mathematica; Creating and selecting cells; Evaluating a cell; Suppressing output from a cell; Cell formatting; Commenting; Aborting evaluation; Upcoming chapters; Further reading; Summary; Chapter 2: Dissecting Data Using Mathematica 327 $aData structures and core languagesIntroducing lists; Nested lists; Matrices; Constructing lists programmatically; Accessing elements from a list; Applying set operations on lists; Functions and conditionals; Declaring and using functions; Conditionals; Further core language; Data importing and basic plots; Importing data into Mathematica; SetDirectory[] and NotebookDirectory[]; Loading the dataset; Basic plotting functions; ListPlot; Styling our plots; Plot legends; 3D point plots; Log plots; Further reading; Summary; Chapter 3: Time Series and Scientific Visualization 327 $aPeriodic patterns in time seriesSector charts; Simulating Internet activity; SectorChart and its options; Interactive visualization of financial data; The DateListPlot function; Adding interactivity - preliminaries; Intermission - Graphics and Show; Adding interactivity - Dynamic and Refresh; Isocontour and molecular visualization; Introduction to isocontours; Example project - protein molecule visualization; Loading and visualizing the protein molecule; Preparing the isocontour plots; Adding interactivity - manipulate; Isosurface and styling 327 $aThinking like a visualization scientist - isovalue analysisFurther reading; Summary; Chapter 4: Statistical and Information Visualization; Statistical visualization; The swiss bank notes dataset; Histograms and charts; Histogram; PairedHistogram; Histogram3D; PieChart; BubbleChart; Choosing appropriate plots; A glimpse of high-dimensional data; Similarity maps; Projecting information to low dimensions; Visualizing genuine and counterfeit clusters; Similarity map for smaller datasets; Things that can (and will) go wrong; Text visualization; A modified word cloud; Cleaning the data 327 $aThe basic algorithmCode and explanation; Graphs and networks; A basic graph visualization; Representing graphs in Mathematica; Visualizing the Les Mise?rables network; Highlighting centrality measures; Other graph layouts; 3D layouts; Chord diagrams; Code and explanation; Tweaking the visualization; Further reading; Summary; Chapter 5: Maps and Aesthetics; Map visualization; The GeoGraphics package; A map of our current location; Plotting a path on the map; Interactivity in GeoGraphics; Anatomy of a map visualization engine; The visual interface; Code and explanation 327 $aAesthetics in visualization 330 $aIf you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica. 410 0$aCommunity experience distilled. 606 $aMathematica (Computer program language) 606 $aMathematica (Computer file) 606 $aMathematics$xData processing 615 0$aMathematica (Computer program language) 615 0$aMathematica (Computer file) 615 0$aMathematics$xData processing. 676 $a510.28553 700 $aSaquib$b Nazmus$01651682 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821951103321 996 $aMathematica data visualization$94001781 997 $aUNINA