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Scatter plot
Scatter plot








scatter plot

This allows a better visual representation of the density of one dimensional data. This option causes all points in X to be assigned a random y-value in the range of [0, 1). This option is for one dimensional data only. The value of this option is the list of arguments to be passed to the NonlinearFit command. One can specify a curve to be fitted into the data points. If n is the number of points in the data sample passed to ScatterPlot, then the condition bandwidth*n>degree must be true. The degree of the polynomial used in lowess smoothing, when lowess fitting is enabled. If a range of colors is given, the colors will be generated by selecting an appropriate number of equally-spaced points in the corresponding hue range. When a list of colors is given, each of the scatters will be colored with the corresponding color in the list. This option specifies colors for the individual data sets. The value of this option is the fraction of points used to define a neighborhood. This option is used to control the bandwidth of the lowess smoothing algorithm, when lowess fitting is enabled. All unrecognized options will be passed to the plots command. The options argument can contain one or more of the options shown below.

scatter plot scatter plot

Options to be passed to the plots command (optional) equation(s) of the form option = value where option is one of bandwidth, color, degree, fit, jitter, legend, lowess, robust, xerrors, or yerrors specify options for generating the scatter plot ScatterPlot( X, Y, options, plotoptions )










Scatter plot