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Mathematica Data Visualization

You're reading from  Mathematica Data Visualization

Product type Book
Published in Sep 2014
Publisher
ISBN-13 9781783282999
Pages 146 pages
Edition 1st Edition
Languages
Author (1):
Nazmus Saquib Nazmus Saquib
Profile icon Nazmus Saquib

Index

A

  • Aesthetics, visualization
    • about / Aesthetics in visualization
    • right color map, selecting / Choosing the right color map
    • rainbow color map / The rainbow color map is misleading
    • hue / Understanding hue and luminance
    • luminance / Understanding hue and luminance
    • color maps / Some better color maps
    • right interface, designing / Designing the right interface
  • append function / Applying set operations on lists
  • AxesOrigin property / ListPlot

B

  • BarLegend / Plot legends
  • Basic algorithm / The basic algorithm
  • BubbleChart
    • about / BubbleChart

C

  • cartographic data
    • about / Cartographic data
  • centrality measures
    • highlighting / Highlighting centrality measures
  • ChartLabels option / PieChart
  • charts
    • about / Histograms and charts
  • ChartStyle option / PieChart
  • chord diagrams
    • about / Chord diagrams
    • code / Code and explanation
    • explanation / Code and explanation
    • visualizations, tweaking / Tweaking the visualization
  • ColorBrewer
    • about / Some better color maps
  • ColorFunction property / 3D point plots
  • color maps, Aesthetics visualization
    • selecting / Choosing the right color map
    • rainbow color map / The rainbow color map is misleading
    • hue / Understanding hue and luminance
    • luminance / Understanding hue and luminance
    • GrayTones color map / Some better color maps
    • DeepSeaColors color map / Some better color maps
  • conditionals
    • about / Functions and conditionals, Conditionals
  • coords function / Adding interactivity – Dynamic and Refresh
  • core languages
    • about / Data structures and core languages, Further core language
  • counterfeit clusters
    • visualizing / Visualizing genuine and counterfeit clusters
  • crit / Applying set operations on lists
  • CSV (comma-separated values) / Loading the dataset
  • current location, GeoGraphics package
    • map / A map of our current location

D

  • 2D graph layouts / Other graph layouts
  • 3D layouts / 3D layouts
  • 3D point plots
    • about / 3D point plots
  • data
    • importing / Data importing and basic plots
    • importing, into Mathematica / Importing data into Mathematica
  • data, visualization
    • about / Things that can (and will) go wrong
  • data, word cloud
    • cleaning / Cleaning the data
  • dataset
    • loading / Loading the dataset
  • datasets, types
    • about / Types of datasets
    • table / Tables
    • scalar field / Scalar fields
    • time series / Time series
    • graphs / Graphs
    • text / Text
    • cartographic data / Cartographic data
  • data structures
    • about / Data structures and core languages
  • DateListPlot function
    • about / The DateListPlot function
  • DeepSeaColors color map / Some better color maps
  • DegreeCentrality / Highlighting centrality measures
  • DensityHistogram
    • about / Statistical visualization

E

  • eagereyes.org website / Further reading
  • elements
    • accessing, from list / Accessing elements from a list
  • EvenQ function / Applying set operations on lists

F

  • features, Mathematica / Mathematica as a tool for visualization
  • Filling property / ListPlot
  • financial data, visualization
    • about / Interactive visualization of financial data
    • DateListPlot function / The DateListPlot function
    • interactivity, adding / Adding interactivity – preliminaries, Adding interactivity – Dynamic and Refresh
    • graphics / Intermission – Graphics and Show
    • show / Intermission – Graphics and Show
  • flatten function / Applying set operations on lists
  • functions
    • about / Functions and conditionals
    • declaring / Declaring and using functions
    • using / Declaring and using functions

G

  • gauges
    • about / Statistical visualization
  • genuine clusters
    • visualizing / Visualizing genuine and counterfeit clusters
  • GeoDisk[location, r] primitive, GeoGraphics package / The GeoGraphics package
  • GeoGraphics package
    • about / The GeoGraphics package
    • primitives / The GeoGraphics package
    • GeoPosition[{lat,long}] primitive / The GeoGraphics package
    • GeoMarker[] primitive / The GeoGraphics package
    • GeoRang primitive / The GeoGraphics package
    • GeoDisk[location, r] primitive / The GeoGraphics package
    • GeoPath[{loc1, loc2, $$$}, pathtype] primitive / The GeoGraphics package
    • current location, map / A map of our current location
    • path, plotting on map / Plotting a path on the map
    • interactivity / Interactivity in GeoGraphics
  • GeoMarker[] primitive, GeoGraphics package / The GeoGraphics package
  • GeoPath[{loc1, loc2, $$$}, pathtype] primitive, GeoGraphics package / The GeoGraphics package
  • GeoPosition[{lat,long}] primitive, GeoGraphics package / The GeoGraphics package
  • GeoRang primitive, GeoGraphics package / The GeoGraphics package
  • graph
    • about / Graphs and networks
  • graph, visualization
    • about / Graphs and networks, A basic graph visualization
    • creating / Representing graphs in Mathematica
    • Les Misérables network, visualizing / Visualizing the Les Misérables network
    • centrality measures, highlighting / Highlighting centrality measures
    • 2D graph layouts / Other graph layouts
    • 3D layouts / 3D layouts
  • graphics
    • about / Intermission – Graphics and Show
  • graphs
    • about / Graphs
  • GrayTones / Visualizing genuine and counterfeit clusters
  • GrayTones color map / Some better color maps

H

  • harmful implications, rainbow color map
    • reference / Further reading
  • high-dimensional data
    • about / A glimpse of high-dimensional data
    • similarity maps / Similarity maps
    • information, projecting to low dimensions / Projecting information to low dimensions
    • genuine clusters, visualizing / Visualizing genuine and counterfeit clusters
    • counterfeit clusters, visualizing / Visualizing genuine and counterfeit clusters
    • similarity maps, for datasets / Similarity map for smaller datasets
    • wrong distance metric, employing / Employing the wrong distance metric
    • misleading color map, selecting / Choosing a misleading color map
  • Histogram
    • about / Statistical visualization, Histograms and charts, Histogram
  • Histogram3D
    • about / Statistical visualization, Histogram3D
  • HSB (Hue, Saturation, and Brightness) / SectorChart and its options
  • hue / Understanding hue and luminance

I

  • interactivity
    • adding / Adding interactivity – preliminaries, Adding interactivity – Dynamic and Refresh, Adding interactivity – manipulate
  • Internet activity
    • simulating / Simulating Internet activity
  • isocontours
    • about / Isocontour and molecular visualization, Introduction to isocontours
    • plot, preparing / Preparing the isocontour plots
  • isosurface plot / Isosurface and styling

L

  • LabellingFunction property / PieChart
  • Layout algorithms / Other graph layouts
  • legend, types
    • about / Plot legends
    • LineLegend / Plot legends
    • PointLegend / Plot legends
    • SwatchLegend / Plot legends
    • BarLegend / Plot legends
  • length function / Applying set operations on lists
  • Les Misérables network
    • visualizing / Visualizing the Les Misérables network
  • LineLegend / Plot legends
  • ListPlot
    • about / ListPlot
  • lists
    • about / Introducing lists
    • nested lists / Nested lists
    • creating, programmatically / Constructing lists programmatically
    • elements, accessing from / Accessing elements from a list
    • set operations, applying / Applying set operations on lists
  • log plots
    • about / Log plots
  • low dimensions
    • information, projecting to / Projecting information to low dimensions
  • luminance / Understanding hue and luminance

M

  • Manipulate function / Adding interactivity – manipulate
  • map, GeoGraphics package
    • of current location / A map of our current location
    • path, plotting / Plotting a path on the map
  • map, visualization
    • about / Map visualization
    • GeoGraphics package / The GeoGraphics package
    • anatomy / Anatomy of a map visualization engine
    • visual interface / The visual interface
    • code / Code and explanation
    • explanation / Code and explanation
  • Mathematica
    • about / Mathematica as a tool for visualization
    • features / Mathematica as a tool for visualization
    • data, importing into / Importing data into Mathematica
  • Mathematica Journal
    • about / Further reading
    • URL / Further reading
  • Mathematica notebook essentials
    • about / Getting started with Mathematica
    • cells, creating / Creating and selecting cells
    • cells, selecting / Creating and selecting cells
    • cells, evaluating / Evaluating a cell
    • output, suppressing from cell / Suppressing output from a cell
    • cell formatting / Cell formatting
    • commenting, in cell text / Commenting
    • evaluation of cell, aborting / Aborting evaluation
  • matrices
    • about / Matrices
  • MatrixForm function / Matrices
  • meters
    • about / Statistical visualization
  • miscellaneous functions
    • about / Statistical visualization
  • misleading color map
    • selecting / Choosing a misleading color map
  • Module / Declaring and using functions
  • molecular visualization
    • about / Isocontour and molecular visualization
  • multiple elements
    • table entries with / Table entries with multiple elements
    • table elements with / Table entries with multiple elements

N

  • nested lists
    • about / Nested lists
  • NotebookDirectory[] / SetDirectory[] and NotebookDirectory[]

O

  • OpenStreetMap / Anatomy of a map visualization engine

P

  • PairedBarChart
    • about / Statistical visualization
  • PairedHistogram
    • about / Statistical visualization, PairedHistogram
  • ParallelTable / Table entries with multiple elements
  • partition function / Applying set operations on lists
  • periodic patterns
    • in time series / Periodic patterns in time series
  • PieChart
    • about / PieChart
  • plot
    • about / Data importing and basic plots
    • styling / Styling our plots
    • isocontour plots, preparing / Preparing the isocontour plots
  • PlotLegends option / Plot legends
  • PlotRange property / ListPlot
  • plotting functions
    • ListPlot / ListPlot
    • legends / Plot legends
    • 3D point plots / 3D point plots
    • log plots / Log plots
  • PointLegend / Plot legends
  • PolarAxes option, SectorChart function / SectorChart and its options
  • PolarGridLines option, SectorChart function / SectorChart and its options
  • PolarTicks option, SectorChart function / SectorChart and its options
  • position function / Applying set operations on lists
  • protein molecule, visualization
    • about / Example project – protein molecule visualization
    • loading / Loading and visualizing the protein molecule
    • isocontour plots, preparing / Preparing the isocontour plots
    • interactivity, adding / Adding interactivity – manipulate
    • manipulate, using / Isosurface and styling
    • isosurface plot / Isosurface and styling

R

  • rainbow color map / The rainbow color map is misleading
  • RandomVariate function / Histogram3D

S

  • scalar field
    • about / Scalar fields
  • scientist, visualization
    • about / Thinking like a visualization scientist – isovalue analysis
  • SectorChart function
    • about / SectorChart and its options
    • SectorOrigin option / SectorChart and its options
    • PolarAxes option / SectorChart and its options
    • PolarGridLines option / SectorChart and its options
    • PolarTicks option / SectorChart and its options
    • options / SectorChart and its options
  • sector charts
    • about / Sector charts
  • SectorOrigin option, SectorChart function / SectorChart and its options
  • select function / Applying set operations on lists
  • SetDirectory function / SetDirectory[] and NotebookDirectory[]
  • SetDirectory[] / SetDirectory[] and NotebookDirectory[]
  • set operations
    • applying, on lists / Applying set operations on lists
  • show
    • about / Intermission – Graphics and Show
  • similarity maps
    • about / Similarity maps
    • for smaller datasets / Similarity map for smaller datasets
  • SmoothHistogram
    • about / Statistical visualization
  • statistical, visualization
    • about / Statistical visualization
    • swiss bank notes dataset / The swiss bank notes dataset
    • Histogram / Histograms and charts, Histogram
    • charts / Histograms and charts
    • appropriate plots, selecting / Choosing appropriate plots
    • high-dimensional data / A glimpse of high-dimensional data
  • StringSplit function / Code and explanation
  • styling / Isosurface and styling
  • SwatchLegend / Plot legends
  • swiss bank notes dataset / The swiss bank notes dataset

T

  • table
    • about / Tables
  • table entries
    • with multiple elements / Table entries with multiple elements
  • tally function / Applying set operations on lists
  • text
    • about / Text
  • text, visualization
    • about / Text visualization
    • word cloud / A modified word cloud
    • code / Code and explanation
    • explanation / Code and explanation
  • time series
    • about / Time series
    • periodic patterns / Periodic patterns in time series
    • visualization survey, URL / Further reading
  • Total. Total function / Declaring and using functions
  • tuple / Introducing lists

U

  • union function / Applying set operations on lists

V

  • visualization
    • significance / The importance of visualization
    • demonstrating / The importance of visualization
    • further readings / Further reading
  • visualizations
    • deploying / Deploying Mathematica visualizations

W

  • webMathematica interface / Deploying Mathematica visualizations
  • word cloud
    • about / A modified word cloud
    • data, cleaning / Cleaning the data
    • Basic algorithm / The basic algorithm
  • wrong distance metric
    • employing / Employing the wrong distance metric
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