BUILT-IN MATHEMATICA SYMBOL

Histogram

Histogram[{x1, x2, ...}]
plots a histogram of the values .

Histogram[{x1, x2, ...}, bspec]
plots a histogram with bin width specification bspec.

Histogram[{x1, x2, ...}, bspec, hspec]
plots a histogram with bin heights computed according to the specification hspec.

Histogram[{data1, data2, ...}, ...]
plots histograms for multiple datasets .

Details and OptionsDetails and Options

• Histogram[data] by default plots a histogram with equal bin widths chosen to approximate an assumed underlying smooth distribution of the values .
• The following bin width specifications bspec can be given:
•  n use n bins {dx} use bins of width dx {xmin,xmax,dx} use bins of width dx from to {{b1,b2,...}} use the bins Automatic determine bin widths automatically "name" use a named binning method {"Log",bspec} apply binning bspec on log-transformed data fb apply fb to get an explicit bin specification
• The binning specification is taken to use the Automatic underlying binning method.
• Possible named binning methods include:
•  "Sturges" compute the number of bins based on the length of data "Scott" asymptotically minimize the mean square error "FreedmanDiaconis" twice the interquartile range divided by the cube root of sample size "Knuth" balance likelihood and prior probability of a piecewise uniform model "Wand" one-level recursive approximate Wand binning
• The function fb in Histogram[data, fb] is applied to a list of all , and should return an explicit bin list .
• Different forms of histogram can be obtained by giving different bin height specifications hspec in Histogram[data, bspec, hspec]. The following forms can be used:
•  "Count" the number of values lying in each bin "CumulativeCount" cumulative counts "SurvivalCount" survival counts "Probability" fraction of values lying in each bin "PDF" probability density function "CDF" cumulative distribution function "SF" survival function "HF" hazard function "CHF" cumulative hazard function {"Log",hspec} log-transformed height specification fh heights obtained by applying fh to bins and counts
• The function fh in Histogram[data, bspec, fh] is applied to two arguments: a list of bins , and corresponding list of counts . The function should return a list of heights to be used for each of the .
• Only values that are real numbers are assigned to bins; others are taken to be missing.
• In Histogram[{data1, data2, ...}, ...], automatic bin locations are determined by combining all the datasets .
• Histogram[{..., wi[datai, ...], ...}, ...] renders the histogram elements associated with dataset according to the specification defined by the symbolic wrapper .
• Possible symbolic wrappers are the same as for BarChart, and include Style, Labeled, Legended, etc.
• Histogram has the same options as Graphics with the following additions and changes:
•  AspectRatio 1/GoldenRatio overall ratio of width to height Axes True whether to draw axes BarOrigin Bottom origin of histogram bars ChartBaseStyle Automatic overall style for bars ChartElementFunction Automatic how to generate raw graphics for bars ChartElements Automatic graphics to use in each of the bars ChartLabels None category labels for datasets ChartLayout Automatic overall layout to use ChartStyle Automatic style for bars ChartLegends None legends for data elements and datasets ColorFunction Automatic how to color bars ColorFunctionScaling True whether to normalize arguments to ColorFunction LabelingFunction Automatic how to label elements LegendAppearance Automatic overall appearance of legends PerformanceGoal \$PerformanceGoal aspects of performance to try to optimize ScalingFunctions None how to scale individual coordinates
• Possible settings for ChartLayout include and .
• The arguments supplied to ChartElementFunction are the bin region , the bin values lists, and metadata from each level in a nested list of datasets.
• A list of built-in settings for ChartElementFunction can be obtained from .
• The argument supplied to ColorFunction is the height for each bin.
• With ScalingFunctions->{sx, sy}, the coordinate is scaled using etc.
• Style and other specifications from options and other constructs in BarChart are effectively applied in the order ChartStyle, ColorFunction, Style and other wrappers, ChartElements, and ChartElementFunction, with later specifications overriding earlier ones.

ExamplesExamplesopen allclose all

Basic Examples (4)Basic Examples (4)

Generate a histogram for a list of values:

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Multiple datasets:

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Generate a probability histogram for a list of values:

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Pictorial bars:

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Use procedural bars:

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