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Mathematica data visualization

You're reading from   Mathematica data visualization Create and prototype interactive data visualizations using Mathematica

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Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783282999
Length 146 pages
Edition 1st Edition
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Author (1):
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Nazmus Saquib Nazmus Saquib
Author Profile Icon Nazmus Saquib
Nazmus Saquib
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Toc

Statistical visualization

Mathematica provides us with a wide variety of statistical plotting functions. Let's take a look at a few of them:

  • Distribution shapes
    • Histogram
    • SmoothHistogram
    • Histogram3D
    • PairedHistogram
    • DensityHistogram and so on
  • Charting
    • PieChart
    • BubbleChart
    • BarChart
    • SectorChart
    • PairedBarChart
    • 3D versions of some of these charts
  • Miscellaneous
    • Gauges, such as AngularGauge, HorizontalGauge, VerticalGauge, BulletGauge, ClockGauge, and so on
    • Financial charts, such as CandlestickChart, TradingChart, FinancialIndicator, KagiChart, RenkoChart, and so on

To visualize the distribution shapes of empirical data, Mathematica provides different kinds of histogram-plotting functions. SmoothHistogram provides a smooth estimation of the shape, whereas Histogram, Histogram3D, and PairedHistogram give a discrete shape (which is often better to understand empirical data). DensityHistogram is a plot for visualizing spatial data density.

The most common charting functions are listed next. We have already used...

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