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Data Visualization   (Mathematica Guide)
Using a host of original algorithms developed at Wolfram Research, Mathematica provides powerful functions that automate the process of creating cognitively and aesthetically ...
Cell Styling Options   (Mathematica Guide)
Mathematica provides many options for styling the cells that appear in notebooks. Some of the more common styling options are available directly from the Format menu. All ...
CellularAutomaton   (Built-in Mathematica Symbol)
CellularAutomaton[rule, init, t] generates a list representing the evolution of the cellular automaton with the specified rule from initial condition init for t steps. ...
Plotting Options   (Mathematica Guide)
With its core symbolic paradigm and immediate access to sophisticated numerical, symbolic and geometric algorithms, Mathematica is able to provide a uniquely flexible and ...
Using a Text-Based Interface   (Mathematica Tutorial)
The standard front end interface, as discussed in "Using a Notebook Interface", is appropriate for most users' purposes. In some cases, however, you may not need to use the ...
FaceGrids   (Built-in Mathematica Symbol)
FaceGrids is an option for three-dimensional graphics functions that specifies grid lines to draw on the faces of the bounding box.
As the world's most extensive programmatic mathematical typesetting system, Mathematica provides a range of controls over the details of layout and rendering.
Graphics Directives and Options   (Mathematica Tutorial)
When you set up a graphics object in Mathematica, you typically give a list of graphical elements. You can include in that list graphics directives which specify how ...
Curve Fitting   (Mathematica Tutorial)
There are many situations where one wants to find a formula that best fits a given set of data. One way to do this in Mathematica is to use Fit. Basic linear fitting. Here is ...
ContourPlot   (Built-in Mathematica Symbol)
ContourPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] generates a contour plot of f as a function of x and y. ContourPlot[f == g, {x, x_min, x_max}, {y, y_min, y_max}] plots ...
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