Statistical plots

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Chernoff face

A way to display variables on a two-dimensional surface. For instance, let be eyebrow slant, be eye size, be nose length, etc. The above figures show faces produced using 10 characteristics--head eccentricity, eye size, eye spacing, eye eccentricity, pupil size, eyebrow slant, nose size, mouth shape, mouth size, and mouth opening)--each assigned one of 10 possible values, generated using the Wolfram Language.

Histogram

The grouping of data into bins (spaced apart by the so-called class interval) plotting the number of members in each bin versus the bin number. The above histogram shows the number of variates in bins with class interval 1 for a sample of 100 real variates with a uniform distribution from 0 and 10. Therefore, bin 1 gives the number of variates in the range 0-1, bin 2 gives the number of variates in the range 1-2, etc. Histograms are implemented in the Wolfram Language as Histogram[data].

Dot plot

A dot plot, also called a dot chart, is a type of simple histogram-like chart used in statistics for relatively small data sets where values fall into a number of discrete bins. To draw a dot plot, count the number of data points falling in each bin and draw a stack of dots that number high for each bin. The illustration above shows such a plot for a random sample of 100 integers chosen between 1 and 25 inclusively.Simple code for drawing a dot plot in the WolframLanguage with some appropriate labeling of bin heights can be given asDotPlot[data_] := Module[{m = Tally[Sort[data]]}, ListPlot[Flatten[Table[{#1, n}, {n, #2}]& @@@ m, 1], Ticks -> {Automatic, Range[0, Max[m[[All, 2]]]]}]]

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