QuantilePlot works with numeric data:

QuantilePlot works with symbolic distributions:

Use multiple datasets and distributions:

The default reference distribution is the closest estimated NormalDistribution:

Specify data or distributions as the reference:

Reference distributions are estimated for each dataset:

Estimate specific reference distributions for numeric datasets:

Use all forms of built-in distributions:

Parametric:

Nonparametric:

Derived:

Use all forms of data.

Numeric values in an association are used as the coordinates:

Numeric keys and values in an association are used as the and coordinates:

Plot time series directly:

The weights in WeightedData are ignored:

Get tabular data:

Compare the data to a normal distribution:

Compare multiple sets of data:

Use PivotToColumns to generate columns of "SepalWidth" per species:

Compare probability of sepal width per species:

Use abbreviated names for extended keys when the elements are unique:

Use legends for the plot:

Multiple datasets are automatically colored to be distinct:

Provide explicit styling to different sets: