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Mathematica data visualization

Mathematica data visualization

By : Saquib
3.9 (10)
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Mathematica data visualization

Mathematica data visualization

3.9 (10)
By: Saquib

Overview of this book

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.
Table of Contents (7 chapters)
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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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