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.
Este ejercicio forma parte del curso
Categorical Data in the Tidyverse
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Make a bar plot
___(___, aes(x = EmployerIndustry)) +
___() +
# Flip the coordinates
___