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"))

Lets 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 million and tax of $126.76535 million. Its tax rate was 16.1 %.

---

Lets 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 in the Utilities, gas and electric industry with the highest profit. It had a profit of $7289 million and tax of $30 million. Its tax rate was 0.4 %.