![]() Ggplot rename x ticks labels how to#To illustrate how to create and place the labels on the fly, here is an example with labels showing counts per manufacturer (with percentage labels it gets a bit more complicated). Ggplot(mpg_sum, aes(x = n, y = manufacturer)) + Perc = if_else(row_number() = 1, paste(perc, "of all car models"), perc) So let’s add the prepared percentage label to our bar graph with geom_text(): ggplot(mpg_sum, aes(x = n, y = manufacturer)) +Īnd in case you want to add some more description to one of the bars, you can use an if_else() (or an ifelse()) statement like this: mpg_sum % # add percentage label with `scales::percent()`ĭplyr::mutate(perc = scales::percent(n / sum(n), accuracy =. ![]() 1) and we can similarly add the leading white space by setting trim to FALSE. The accuracy determines the number of digits (here. ![]() And this short tutorial shows you multiple ways how to do so.Ī few days ago, I got a request on some code creating bar charts with individual colors and percentage labels with the package. It is pretty easy to improve your ggplot with a few lines of code. In addition, one can highlight specific bars with use of custom colors. Ordering your bar charts make sense in case the categorical value has no internal order and helps focusing on the largest and smallest groups. Most notably, direct labels can increase accessibility of a bar graph and reduce the “chart junk” since grid lines, axis labels, and even axis titles become obsolete. Bar charts are likely the most common chart type out there and come in several varieties. ![]()
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