Mathematica provides many options for customizing and annotating plots. Legends can be added to plots and customized with many of the same methods used to customize other ...

ListLogLinearPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log-linear plot of the specified list of x and y values.ListLogLinearPlot[{list_1, list_2, ...}] plots several lists ...

ListLogLogPlot[{{x_1, y_1}, {x_2, y_2}, ...}] makes a log-log plot of the specified list of x and y values.ListLogLogPlot[{list_1, list_2, ...}] plots several lists of values.

ContourPlot3D[f, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] produces a three-dimensional contour plot of f as a function of x, y, and z. ContourPlot3D[f == g, ...

ListPolarPlot[{r_1, r_2, ...}] plots points equally spaced in angle at radii r_i.ListPolarPlot[{{\[Theta]_1, r_1}, {\[Theta]_2, r_2}, ...}] plots points at polar coordinates ...

MaxPlotPoints is an option for plotting functions like ArrayPlot and ListPlot3D that specifies the maximum number of points that will explicitly be included in the output.

TreePlot[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a tree plot of the graph in which vertex v_ik is connected to vertex v_jk.TreePlot[{{v i 1 -> v j 1, lbl_1}, ...}] ...

ListPointPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a 3D scatter plot of points with coordinates {x_i, y_i, z_i}. ListPointPlot3D[array] generates a 3D scatter ...

Transparency is useful in plots when you need an unobstructed view of multiple components of one plot, or simply want to lighten a single plot component against a white ...

ListSurfacePlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] plots a three-dimensional surface constructed to fit the specified points.