Introduction to dplyr

Code and text for Quiz 3.

Load the packages 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 profit of $788.60535 million and tax of $126.76535 million. Its tax rate was 16.1%.

---

Let’s find the company in the Chemicals industry with the highest profit.

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

result

# A tibble: 1 × 5
  company          profit   tax tax_rate industry 
  <chr>             <dbl> <dbl>    <dbl> <chr>    
1 Sherwin-Williams  1307.  289.    0.221 Chemicals

Sherwin-Williams is the company in Chemicals industry with the highest profit. It had profits of $1307.278 million and tax of $288.755 million. Its tax rate was 22.1%.