Update explore-categorical.qmd (#475)

typo

explore-categorical.qmd

@@ -16,7 +16,7 @@ Mastery of the content presented in this chapter will be crucial for understandi
 In this chapter we will work with data on loans from Lending Club that you've previously seen in @sec-data-hello.
 The `loan50` dataset from @sec-data-hello represents a sample from a larger loan dataset called `loans`.
 This larger dataset contains information on 10,000 loans made through Lending Club.
-We will examine the relationship between `homeownership`, which for the `loans` data can take a value of `rent`, `mortgage` (owns but has a mortgage), or `own`, and `app_type`, which indicates whether the loan application was made with a partner or whether it was an individual application.
+We will examine the relationship between `homeownership`, which for the `loans` data can take a value of `rent`, `mortgage` (owns but has a mortgage), or `own`, and `application_type`, which indicates whether the loan application was made with a partner or whether it was an individual application.
 
 ::: {.data data-latex=""}
 The [`loans_full_schema`](http://openintrostat.github.io/openintro/reference/loans_full_schema.html) data can be found in the [**openintro**](http://openintrostat.github.io/openintro) R package.