61 - 70 of 90 for BarChartSearch Results
View search results from all Wolfram sites (897 matches)
RectangleChart3D   (Built-in Mathematica Symbol)
RectangleChart3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] makes a 3D rectangle chart with bars of width x_i, depth y_i and height z_i. RectangleChart3D[{..., w_i[{x_i, y_i, ...
Parallelize   (Built-in Mathematica Symbol)
Parallelize[expr] evaluates expr using automatic parallelization.
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 ...
BoxWhiskerChart   (Built-in Mathematica Symbol)
BoxWhiskerChart[{x_1, x_2, ...}] makes a box-and-whisker chart for the values x_i.BoxWhiskerChart[{x_1, x_2, ...}, bwspec] makes a chart with box-and-whisker symbol ...
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, ...
DiscreteWaveletData   (Built-in Mathematica Symbol)
DiscreteWaveletData[{wind_1 -> coef_1, ...}, wave, wtrans] yields a discrete wavelet data object with wavelet coefficients coef_i corresponding to wavelet index wind_i, ...
MarginalDistribution   (Built-in Mathematica Symbol)
MarginalDistribution[dist, k] represents a univariate marginal distribution of the k\[Null]^th coordinate from the multivariate distribution dist.MarginalDistribution[dist, ...
NProbability   (Built-in Mathematica Symbol)
NProbability[pred, x \[Distributed] dist] gives the numerical probability for an event that satisfies the predicate pred under the assumption that x follows the probability ...
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, ...
DistributionFitTest   (Built-in Mathematica Symbol)
DistributionFitTest[data] tests whether data is normally distributed. DistributionFitTest[data, dist] tests whether data is distributed according to dist. ...
1 ... 4|5|6|7|8|9 Previous Next

...