Introduction to dplyr

code and text for Quiz 3.

Load the packages that we need.

library(tidyverse)
library(readxl)
library(here)

Read the data into R.

corp_tax <- read_excel(here("corp_tax.xlsx"))

Let’s look at JetBlue Airways in the corp_tax table.

result <- corp_tax %>%
  filter(company == 'JetBlue Airways')

result

# A tibble: 1 × 5
  company         profit   tax tax_rate industry      
  <chr>            <dbl> <dbl>    <dbl> <chr>         
1 JetBlue Airways    219   -60   -0.274 Transportation

JetBlue Airways is in the Transportation industry. It had profit of $ 219 million and tax of -60 million. Its tax rate was -27.4%.

---

Let’s find the company in the Internet Services & Retailing industry with the highest profit.

result <- corp_tax %>%
  filter(industry == 'Internet Services & Retailing') %>%
  slice_max(profit, n=1) 
result

# A tibble: 1 × 5
  company  profit   tax tax_rate industry                     
  <chr>     <dbl> <dbl>    <dbl> <chr>                        
1 Facebook   8624  1747    0.203 Internet Services & Retailing

Facebook is in the Internet Services and Retailing industry with the highest profit. It had profit of $ 8624 million and tax of 1747 million. Its tax rate was 20.3%.