Here is a simple bar chart: library(ggplot2) # Counts of elements in each of the three groups. The y axis values are drawn from a uniform distribution and represent a proportion of respondents that correctly answered corresponding questions. Let it be a result of a hypothetical survey with 9 questions labelled from Q1 to Q9 and combined into 3 groups. I deliberately keep charts simple with no customization of colours, etc.įirst, let’s simulate the data for the bar chart. The line chart will have dates on the x axis as this is probably the most popular case. The bar chart (plot A below) is an example where data points from different groups should not be connected and a line chart (plot B below) is an example where data points should be connected both within and between groups:īelow, I discuss possible solutions to multi-level labels for these two charts. An important aspect is whether data points between groups should be connected. A 15-minute Google-fu provided me with various solutions described on Stack Overflow that worked with varying success for different types of charts. For example, survey questions may be grouped by topics and dates on the timeline may be grouped by years. Multi-level labels imply some sort of hierarchical structure in data.
Ggplot rename x ticks how to#
And with g gplot2 version 3.3.0, we can avoid overlapping label texts by moving the labels along y-axis alternatively.Recently I needed to create multi-level labels with ggplot2 and had no idea how to do it. In most cases we can use coord_flip() to switch and and y-axis and make the axis text easy to read. Note that rotating axis text labels are not always the best solution. How to rotate x-axis text labels 45 degree? Now we have successfully rotated x-axis text labels to make the labels legible. Theme( = element_text(angle = 45, hjust=1))
We use as we want to change the look of x-axis text. Rotating x-axis text labels to 45 degrees makes the label overlap with the plot and we can avoid this by adjusting the text location using hjust argument to theme’s text element with element_text(). How to rotate x-axis text labels 45 degree? Adjusting the Rotated x-axis Text Label using “hjust” One way to make it better is to rotate x-axis label to 45 degree instead of 90 degrees. Notice that rotating x-axis text labels to 90 degree takes extra space in the plot.
How to rotate x-axis text labels 90 degree? Rotating x-axis Text Label by 45 Degrees We have successfully rotated x-axis text labels to 90 degrees and thus avoided overlapping x-axis labels. And we specify “element_text(angle = 90)” to rotate the x-axis text by an angle 90 degree. To rotate x-axis text labels, we use “” as argument to theme() function. We can rotate axis text labels using theme() function in ggplot2. To make the x-axis text label easy to read, let us rotate the labels by 90 degrees.
Overlapping X-axis Text Labels in ggplot2 How To Rotate x-axis Text Label to 90 Degrees We can see that some of the countries overlap on x-axis. Ggplot(aes(Entity,`Rice (tonnes per hectare)`)) + We will be making a boxplot of rice yield for selected countries to show how to rotate x-axis text labels # (tonnes per hectare)`, `Cocoa beans (tonnes per hectare)` , # (tonnes per hectare)`, `Cassava (tonnes per hectare)`, `Barley # (tonnes per hectare)`, `Beans (tonnes per hectare)`, `Peas # … with 8 more variables: `Soybeans (tonnes per hectare)`, `Potatoes
Ggplot rename x ticks code#
# Entity Code Year `Wheat (tonnes … `Rice (tonnes p… `Maize (tonnes …
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