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DistributionChart   (Built-in Mathematica Symbol)
DistributionChart[{data_1, data_2, ...}] makes a distribution chart with a distribution symbol for each data_i.DistributionChart[{..., w_i[data_i, ...], ..., w_j[data_j, ...
KagiChart   (Built-in Mathematica Symbol)
KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...
PairedHistogram   (Built-in Mathematica Symbol)
PairedHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}] plots a paired histogram of the values x_i and y_i.PairedHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}, bspec] plots a paired ...
PointFigureChart   (Built-in Mathematica Symbol)
PointFigureChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a point and figure chart with prices p_i at date date_i.PointFigureChart[{" name", daterange}] makes a point and ...
RenkoChart   (Built-in Mathematica Symbol)
RenkoChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Renko chart with prices p_i at date date_i.RenkoChart[{" name", daterange}] makes a Renko chart of closing prices for ...
BubbleChart   (Built-in Mathematica Symbol)
BubbleChart[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] makes a bubble chart with bubbles at positions {x_i, y_i} with sizes z_i.BubbleChart[{..., w_i[{x_i, y_i, z_i}, ...], ...
SectorChart3D   (Built-in Mathematica Symbol)
SectorChart3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] makes a 3D sector chart with sector angle proportional to x_i, radius y_i, and height z_i.SectorChart3D[{..., w_i[{x_i, ...
Introduction to Manipulate   (Mathematica Tutorial)
The single command Manipulate lets you create an astonishing range of interactive applications with just a few lines of input. Manipulate is designed to be used by anyone who ...
Permutation Groups   (Mathematica Tutorial)
Groups admit many different representations. In particular, all finite groups can be represented as permutation groups, that is, they are always isomorphic to a subgroup of ...
Random Number Generation   (Mathematica Tutorial)
The ability to generate pseudorandom numbers is important for simulating events, estimating probabilities and other quantities, making randomized assignments or selections, ...
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