2: Introduction to dplyr

Code and text for Quiz 3.

Load the packages that we need.

Read the data into R.

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

Let’s look at NVR in the corp_tax tibble.

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

result
# A tibble: 1 x 5
  company profit   tax tax_rate industry                  
  <chr>    <dbl> <dbl>    <dbl> <chr>                     
1 NVR       923.  126.    0.137 Engineering & construction

NVR is in the Engineering & construction industry. It had profit of $922.694 million and tax of $126.358 million. Its tax rate was 13.7%.


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

result  <- corp_tax  %>% 
  filter(industry == 'Utilities, gas and electric')  %>% 
  slice_max(profit, n=1)
result
# A tibble: 1 x 5
  company        profit   tax tax_rate industry                   
  <chr>           <dbl> <dbl>    <dbl> <chr>                      
1 NextEra Energy   7289    30  0.00412 Utilities, gas and electric

NextEra Energy is the company in Utilities, gas and electric industry with the highest profit. It had profit of $7289 million and tax of $30 million. Its tax rate was 0.4%.