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 tibble.

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

result

# A tibble: 1 x 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%.

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Let’s find the company in the Utilities, gas and electric industry with the highest profit.

result <- corp_tax %>% 
  filter(industry == 'Industrial machinery') %>% 
  slice_max(profit, n=1)

result

# A tibble: 1 x 5
  company                 profit   tax tax_rate industry            
  <chr>                    <dbl> <dbl>    <dbl> <chr>               
1 Honeywell International   2830   -71  -0.0251 Industrial machinery

Honeywell International is the company in the Industrial machinery industry with the highest profit. It had profit of $2830 million and tax of $-71 million. Its tax rate was -2.5%.