# Understanding distribution chart

How to explain DistributionChart function in mathematica, For example: if I have

nd1 = RandomVariate[NormalDistribution[], 25];
nd2 = RandomVariate[NormalDistribution[2, 10], 25];

DistributionChart[nd1, BarOrigin -> Right]


DistributionChart[nd2, BarOrigin -> Right]


1) what is the importance or application of representing data as distribution chart as compare to Normal distribution 2) How to quantify it? or differentiate from 2nd chart in quantitative way or can i estimate probability of middle fatter region

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Is that a lipstick chart ;) –  wolfies Oct 18 '13 at 17:16

You can interpret it as probability density. Here I just put a plot of the pdf in the same graph:

Module[{data = RandomVariate[#, 2000]},
Show[{
Plot[PDF[#, x], {x, Min[data], Max[data]}, PlotRange->All],
DistributionChart[data, BarOrigin -> Left]
}, PlotLabel -> #, PlotRange -> All
]] & /@ {ExponentialDistribution[2.1],
NormalDistribution[0.3, 1.3],
StudentTDistribution[23],
UniformDistribution[{-1, 1}]}


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