My Blog: Introduction to dplyr

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 × 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. In it’s tax rate of $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 × 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. Utilities, gas and electric industry with the highest profit of $ 7289 million and tax of $30 million. In it’s tax rate of $0.4%.

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

# A tibble: 1 × 5
  company      profit   tax tax_rate industry          
  <chr>         <dbl> <dbl>    <dbl> <chr>             
1 DISH Network  2145.  44.5   0.0207 Telecommunications

DISH Network is in the Telecommunications industry. It had profit of $2145.257 million and tax of $44.451 million. In it’s tax rate of $2.1%.

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

# A tibble: 1 × 5
  company profit   tax tax_rate industry   
  <chr>    <dbl> <dbl>    <dbl> <chr>      
1 Anthem    4990  1128    0.226 Health care

The company with the highest profit in the corp_tax.xlsx data set in Healthcare industry is Anthem. Its profit was $ 4990. Its tax was $ 1128 million and its tax rate was $ 22.6%.