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 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 a profit of $922.694 million and tax of $126.358 million. Its tax rate was 13.7 %.

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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 x 5
  company  profit   tax tax_rate industry                     
  <chr>     <dbl> <dbl>    <dbl> <chr>                        
1 Facebook   8624  1747    0.203 Internet Services & Retailing

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