SmoothDensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}] plots a smooth kernel histogram of the values {x_i, y_i}.SmoothDensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}, espec] ...

StreamDensityPlot[{{v_x, v_y}, s}, {x, x_min, x_max}, {y, y_min, y_max}] generates a stream plot of the vector field {v_x, v_y} as a function of x and y, superimposed on a ...

ProbabilityPlot[list] generates a plot of the CDF of list against the CDF of a normal distribution.ProbabilityPlot[dist] generates a plot of the CDF of the distribution dist ...

QuantilePlot[list] generates a plot of quantiles of list against the quantiles of a normal distribution.QuantilePlot[dist] generates a plot of quantiles of the distribution ...

Building on Mathematica's unique base of visualization and graphics capabilities, Mathematica 7 adds several important new areas. Emphasizing integration and automation, ...

PrincipalComponents[matrix] transforms elements of matrix into unscaled principal components.

Spacings is an option to Grid and related constructs that specifies the spacings to leave between successive objects.

ListContourPlot3D[array] generates a contour plot from a three-dimensional array of values. ListContourPlot3D[{{x_1, y_1, z_1, f_1}, {x_2, y_2, z_2, f_2}, ...}] generates a ...

Long the standard for high-quality function and surface visualization, Mathematica incorporates a host of original numeric, symbolic, and geometric algorithms that automate ...

With its core symbolic paradigm and immediate access to sophisticated numerical, symbolic and geometric algorithms, Mathematica is able to provide a uniquely flexible and ...