introduction to dplyr

Code amd 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 == 'DISH Network')

result

# A tibble: 1 x 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. Its tax rate was 2.1%.

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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 profit of $8624 million and tax of $1747 million. Its tax rate was 20.3%.