boxplot

I am doing a basic boxplot where y=age and x=Patient groups age <- ggplot(data, aes(factor(group2), age)) + ylim(15, 80) age + geom_boxplot(fill = "grey80", colour = "#3366FF") I was hoping you could help me out with a few things: 1) Is it possible to include a number of observations per group above each group boxplot (but NOT on the X axis where my group labels are) without having to do this in paint :)? I have tried using: age + annotate("text", x = "CON", y = 60, label = "25") where CON is the 1st group and y = 60 is ~ just above the boxplot for this group. However, the command didn't work.

since yesterday I am reading answers and websites in order to combine and align in one plot an histogram and a boxplot generated using ggplot2 package. This question differs from others because the boxplot chart needs to be reduced in height and aligned to the left outer margin of the histogram . Considering the following dataset: my_df <- structure(list(id = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61,

Is there a way to group boxplots in matplotlib? Assume we have three groups "A", "B", and "C" and for each we want to create a boxplot for both "apples" and "oranges". If a grouping is not possible directly, we can create all six combinations and place them linearly side by side. What would be to simplest way to visualize the groupings? I'm trying to avoid setting the tick labels to something like "A + apples" since my scenario involves much longer names than "A". Molly How about using colors to differentiate between "apples" and "oranges" and spacing to separate "A", "B" and "C"? Something