Ex 2.2: Side-by-side box plots

teach_ds :: Teaching data science with the tidyverse

Setup

library(tidyverse)
library(openintro)

loans <- loans_full_schema %>%
  mutate(
    homeownership = str_to_title(homeownership), 
    bankruptcy = if_else(public_record_bankrupt >= 1, "Yes", "No")
  ) %>%
  filter(annual_income >= 10) %>%
  select(
    loan_amount, homeownership, bankruptcy,
    application_type, annual_income, interest_rate
  )

loans

# A tibble: 9,976 × 6
   loan_amount homeownership bankruptcy application_type annual_income interes…¹
         <int> <chr>         <chr>      <fct>                    <dbl>     <dbl>
 1       28000 Mortgage      No         individual               90000     14.1 
 2        5000 Rent          Yes        individual               40000     12.6 
 3        2000 Rent          No         individual               40000     17.1 
 4       21600 Rent          No         individual               30000      6.72
 5       23000 Rent          No         joint                    35000     14.1 
 6        5000 Own           No         individual               34000      6.72
 7       24000 Mortgage      No         joint                    35000     13.6 
 8       20000 Mortgage      No         individual              110000     12.0 
 9       20000 Mortgage      No         individual               65000     13.6 
10        6400 Rent          No         individual               30000      6.71
# … with 9,966 more rows, and abbreviated variable name ¹​interest_rate
# ℹ Use `print(n = ...)` to see more rows

Exercise

Using the loans data, create side-by-side box plots that shows the relationship between loan amount and application type, faceted by homeownership.

# add your answer here