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Clustered multiple variables graphs

Next selectClustered multiple variables graphs


Creates graphs that allow to visually compare subgroups across different variables.

The graph can be composed from different elements: Bars, Horizontal lines, Markers and or Connecting lines for mean or median, with choice of different error bars for mean (95% CI, 1 SEM, 1 SD, 2 SD, 3 SD, range) or median (95% CI, 25-75 percentiles, 10-90 percentiles, 5-95 percentiles, 2.5-97.5 percentiles, 1-99 percentiles, range), Box-and-whisker plot or Notched box-and-whisker plot, Violin plot, Dot plot (display all data), or Dot and line diagram (Ladder plot).

Required input

Clustered multiple variables graphs - dialog box

In this dialog box, you enter:


Clustered multiple variables graphs

This is the same graph, but with the option "Clustered by variables" selected:

Clustered multiple variables graphs

This is an example of a graph with option "Connecting lines" selected:

Clustered multiple variables graphs


See also

Recommended book

Book cover

Exploratory Data Analysis
John W. Tukey

Buy from Amazon

The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided by hand-held calculator.