Reordering a variable by its frequency
Making effective visualizations is a big part of analyzing data. It's not about having all the information on the plot; how you display the information can change whether or how quickly someone can understand the message. One of the primary purposes of the forcats package is to make it easy to quickly change your visualizations when you're working with qualitative variables.
Let's make a chart of how many people are employed in each industry. We'll do two versions so you can judge which one is better. multiple_choice_responses has been loaded for you.
Diese Übung ist Teil des Kurses
Categorical Data in the Tidyverse
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Make a bar plot
___(___, aes(x = EmployerIndustry)) +
___() +
# Flip the coordinates
___