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 Masco in the corp_tax tibble.

result <- corp_tax %>% 
  filter(company == "Masco")

result

# A tibble: 1 × 5
  company profit   tax tax_rate industry               
  <chr>    <dbl> <dbl>    <dbl> <chr>                  
1 Masco     789.  127.    0.161 Metals & metal products

Masco is in the Metals & metal products industry. It had a profit of $788.60535 millions and a tax of $126.76535 millions. Its tax rate was 16.1%.

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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 × 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. It had a profit of $8624 millions and a tax of $1747 millions. Its tax rate was 20.3%.