The Comparisons column should contain replicated values that identify each individual as belonging to a group (e.g., Species within iris Raw Data). The Variables column(s) should created for each variable you wish to plot. The values in these columns must be numeric (e.g., Sepal.Length, Sepal.Width, Petal.Length, Petal.Width within iris Raw Data)
``.violin()``: Plots a violin plot comparing the distribution of one or more variables using the kernel density estimate. An area chart is most useful when plotting multiple variables in a stacked chart. This can be achieve by specifying x, y, and by columns or using the columns and index/use_index...
Allowed values are 1 (for one line, one group) or a character vector specifying the name of the grouping variable (case of multiple lines). numeric.x.axis: logical. If TRUE, x axis will be treated as numeric. Default is FALSE. combine: logical value. Default is FALSE. Used only when y is a vector containing multiple variables to plot.
--- jupyter: jupytext: notebook_metadata_filter: all text_representation: extension: .md format_name: markdown format_version: '1.1' jupytext_version: 1.1.1 ...
Make a box plot from DataFrame columns. Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles. The box extends from the Q1 to Q3 quartile values of the data, with a line at the median (Q2).
Plotting Factor Variables Description. This functions implements a scatterplot method for factor arguments of the generic plot function. If y is missing barplot is produced. For numeric y a boxplot is used, and for a factor y a spineplot is shown. For any other type of y the next plot method is called, normally plot.default. Usage
She rejected me but still flirts