In a histogram, the height of each bar (bin) represents the number of data points that fall into its interval. They are generally used to show the distribution of a variable.
In [1]:
// Generate some random data
Random random = new Random();
data1 = [];
data2 = [];
(1..10000).each {
data1 << random.nextGaussian();
data2 << 2*random.nextGaussian() + 1.0;
}
OutputCell.HIDDEN
In [2]:
new Histogram(data: data1, binCount: 25);
In [3]:
new Histogram(initWidth:800, initHeight:200,
title:"Wide Histogram with Manual Parameters",
xLabel:"Size",
yLabel:"Count",
rangeMin: -8,
rangeMax: 8,
data: data1 + [7]*200,
binCount: 99,
color: new Color(0, 154, 166));
In [4]:
new Histogram(title:"Default is Overlap",
data: [data1, data2],
binCount: 99,
names: ["old and tired", "new and improved"],
color: [new Color(0, 154, 166),
new Color(230, 50, 50, 128) // transparent!
]);
In [5]:
new Histogram(title:"Stack",
showLegend: false,
displayMode: Histogram.DisplayMode.STACK,
data: [data1, data2],
binCount: 99)
In [6]:
new Histogram(title:"Side by Side",
displayMode: Histogram.DisplayMode.SIDE_BY_SIDE,
data: [data1,data2],
binCount: 55)
In [7]:
new Histogram(title:"Cumulative",
cumulative: true,
data: data1,
binCount: 55);
In a normed histogram , the height of the bars is scaled so the area under the histogram is unity.
In [8]:
new Histogram(title:"Normed, Area = 1.0",
normed: true,
data: data1,
binCount: 55);
In [9]:
new Histogram(log: true,
data: data1,
binCount: 99);
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