![]() ![]() Tableau creates a vertical axis and displays a bar chart-the default chart type when there is a dimension on the Columns shelf and a measure on the Rows shelf.ĭrag the Region dimension to Columns, and drop it to the right of Segment. To create a box plot that shows discounts by region and customer segment, follow these steps:Ĭonnect to the Sample - Superstore data source. These data look awfully suspicious to me.The basic building blocks for a box and whisker plot are as follows:įor information on how to add a reference line, see Reference Lines, Bands, Distributions, and Boxes (Link opens in a new window). Instead, you could make a line plot for each mouse, using different symbols and colors to indicate what groups they belong to. From there, you can plot the individual variables with boxplots, but not the full combination, because you have only 1 datum per combination. Then reshape your data into 'long' form, so you have two matching datasets. I also have an exposure timing variable in my total dataset. ![]() In the sample set, I only included one of the two groups. Here is kind of an idea I was thinking of. A sample of the data is below: dput(MRI_hh) ![]() ![]() I assume a grouped boxplot would be the nicest visually but I am open to other ideas. I would like to visually show the different body region sizes by treatment and sex. The data is non-repetitive however, subjects with similar "TREATMENT" background colors are from the same litters. The above regions are the volumes of 7 body regions & Each variable has 2 treatments and sex (drug 1/2 & M/F). I am trying to create a graph in R that has 7 variables on the x axis, and size on the y axis. ![]()
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