Mathematica data visualization :: create and prototype interactive data visualizations using Mathematica /
If 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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2014.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | If 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. |
| Beschreibung: | 1 online resource |
| ISBN: | 9781783283002 1783283009 1322166072 9781322166070 1783282991 9781783282999 |
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| 505 | 0 | |a Cover; 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. | |
| 505 | 8 | |a Data 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. | |
| 505 | 8 | |a Periodic 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. | |
| 505 | 8 | |a Thinking 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. | |
| 505 | 8 | |a The basic algorithmCode and explanation; Graphs and networks; A basic graph visualization; Representing graphs in Mathematica; Visualizing the Les Misérables 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. | |
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| 776 | 0 | 8 | |i Print version: |a Saquib, Nazmus. |t Mathematica data visualization : create and prototype interactive data visualizations using Mathematica. |d Birmingham, [England] : Packt Publishing, ©2014 |h 130 pages |k Community experience distilled |z 9781783282999 |
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| author | Saquib, Nazmus |
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| contents | Cover; 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. Data 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. Periodic 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. Thinking 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. The basic algorithmCode and explanation; Graphs and networks; A basic graph visualization; Representing graphs in Mathematica; Visualizing the Les Misérables 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. |
| ctrlnum | (OCoLC)892044300 |
| dewey-full | 510.285/536 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 510 - Mathematics |
| dewey-raw | 510.285/536 |
| dewey-search | 510.285/536 |
| dewey-sort | 3510.285 3536 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn892044300 |
| illustrated | Not Illustrated |
| indexdate | 2024-10-25T16:22:15Z |
| institution | BVB |
| isbn | 9781783283002 1783283009 1322166072 9781322166070 1783282991 9781783282999 |
| language | English |
| oclc_num | 892044300 |
| open_access_boolean | |
| owner | MAIN |
| owner_facet | MAIN |
| physical | 1 online resource |
| psigel | ZDB-4-EBA |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Publishing, |
| record_format | marc |
| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Saquib, Nazmus, author. Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / Nazmus Saquib. Birmingham : Packt Publishing, 2014. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Community experience distilled Print version record. Cover; 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. Data 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. Periodic 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. Thinking 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. The basic algorithmCode and explanation; Graphs and networks; A basic graph visualization; Representing graphs in Mathematica; Visualizing the Les Misérables 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. If 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. English. Mathematica (Computer file) http://id.loc.gov/authorities/names/n86111398 Mathematica (Computer file) fast Mathematica (Computer program language) http://id.loc.gov/authorities/subjects/sh93005423 Mathematics Data processing. http://id.loc.gov/authorities/subjects/sh85082146 Mathematica (Langage de programmation) Mathématiques Informatique. MATHEMATICS Essays. bisacsh MATHEMATICS Pre-Calculus. bisacsh MATHEMATICS Reference. bisacsh Mathematica (Computer program language) fast Mathematics Data processing fast Print version: Saquib, Nazmus. Mathematica data visualization : create and prototype interactive data visualizations using Mathematica. Birmingham, [England] : Packt Publishing, ©2014 130 pages Community experience distilled 9781783282999 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=855870 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=855870 Volltext |
| spellingShingle | Saquib, Nazmus Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / Community experience distilled. Cover; 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. Data 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. Periodic 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. Thinking 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. The basic algorithmCode and explanation; Graphs and networks; A basic graph visualization; Representing graphs in Mathematica; Visualizing the Les Misérables 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. Mathematica (Computer file) http://id.loc.gov/authorities/names/n86111398 Mathematica (Computer file) fast Mathematica (Computer program language) http://id.loc.gov/authorities/subjects/sh93005423 Mathematics Data processing. http://id.loc.gov/authorities/subjects/sh85082146 Mathematica (Langage de programmation) Mathématiques Informatique. MATHEMATICS Essays. bisacsh MATHEMATICS Pre-Calculus. bisacsh MATHEMATICS Reference. bisacsh Mathematica (Computer program language) fast Mathematics Data processing fast |
| subject_GND | http://id.loc.gov/authorities/names/n86111398 http://id.loc.gov/authorities/subjects/sh93005423 http://id.loc.gov/authorities/subjects/sh85082146 |
| title | Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / |
| title_auth | Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / |
| title_exact_search | Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / |
| title_full | Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / Nazmus Saquib. |
| title_fullStr | Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / Nazmus Saquib. |
| title_full_unstemmed | Mathematica data visualization : create and prototype interactive data visualizations using Mathematica / Nazmus Saquib. |
| title_short | Mathematica data visualization : |
| title_sort | mathematica data visualization create and prototype interactive data visualizations using mathematica |
| title_sub | create and prototype interactive data visualizations using Mathematica / |
| topic | Mathematica (Computer file) http://id.loc.gov/authorities/names/n86111398 Mathematica (Computer file) fast Mathematica (Computer program language) http://id.loc.gov/authorities/subjects/sh93005423 Mathematics Data processing. http://id.loc.gov/authorities/subjects/sh85082146 Mathematica (Langage de programmation) Mathématiques Informatique. MATHEMATICS Essays. bisacsh MATHEMATICS Pre-Calculus. bisacsh MATHEMATICS Reference. bisacsh Mathematica (Computer program language) fast Mathematics Data processing fast |
| topic_facet | Mathematica (Computer file) Mathematica (Computer program language) Mathematics Data processing. Mathematica (Langage de programmation) Mathématiques Informatique. MATHEMATICS Essays. MATHEMATICS Pre-Calculus. MATHEMATICS Reference. Mathematics Data processing |
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| work_keys_str_mv | AT saquibnazmus mathematicadatavisualizationcreateandprototypeinteractivedatavisualizationsusingmathematica |