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, ...

ListPointPlot3D (Built-in Mathematica Symbol)

ListPointPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a 3D scatter plot of points with coordinates {x_i, y_i, z_i}. ListPointPlot3D[array] generates a 3D scatter ...

ListVectorPlot3D (Built-in Mathematica Symbol)

ListVectorPlot3D[array] generates a 3D vector plot from a 3D array of vector field values.ListVectorPlot3D[{{{x_1, y_1, z_1}, {vx_1, vy_1, vz_1}}, ...}] generates a 3D vector ...

SignedRankTest (Built-in Mathematica Symbol)

SignedRankTest[data] tests whether the median of data is zero. SignedRankTest[{data_1, data_2}] tests whether the median of data_1 - data_2 is zero.SignedRankTest[dspec, ...

VarianceTest (Built-in Mathematica Symbol)

VarianceTest[data] tests whether the variance of the data is one. VarianceTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...

Image Processing (Mathematica Tutorial)

Mathematica provides built-in support for both programmatic and interactive image processing, fully integrated with Mathematica's powerful mathematical and algorithmic ...

Working with String Patterns (Mathematica Tutorial)

The general symbolic string patterns in Mathematica allow you to perform powerful string manipulation efficiently. What follows discusses the details of string patterns, ...

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 ...

SectorChart (Built-in Mathematica Symbol)

SectorChart[{{x_1, y_1}, {x_1, y_2}, ...}] makes a sector chart with sector angles proportional to x_i and radii y_i.SectorChart[{..., w_i[{x_i, y_i}, ...], ..., w_j[{x_j, ...

EstimatedDistribution (Built-in Mathematica Symbol)

EstimatedDistribution[data, dist] estimates the parametric distribution dist from data.EstimatedDistribution[data, dist, {{p, p_0}, {q, q_0}, ...}] estimates the parameters ...