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  3. Categorical Data in the Tidyverse

Exercise

Ordering one variable by another

Often we'll need to modify our dataset before we can plot it. If we do this with dplyr functions and the %>%, you can continue by %>% your dataset into ggplot(). It works just like all the functions you use the %>% for because data is the first argument ggplot() takes, and then you can write the rest of the arguments (like aes()) inside the ggplot() call. Just don't forget you have to switch back to + when you add on the rest of the ggplot() code!

Let's try it out by first modifying multiple_choice_responses and then plotting the results in a scatterplot. We'll also need a forcats function to put our graph in a better order.

Instructions 1/3

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  • Filter for rows where Age and EmployerIndustry are both not NA.