Introduction to dplyr

Code and text for Quiz 3

Load the packages that we need.

library(tidyverse)
library(readxl)
library(here)

Read the date 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%

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Let’s find the company in the Food & beverages & tobacco industry with the highest profit.

result <- corp_tax %>% 
  filter(industry == 'Food & beverages & tobacco') %>%
  slice_max(profit, n=1)
result

# A tibble: 1 × 5
  company      profit   tax tax_rate industry                  
  <chr>         <dbl> <dbl>    <dbl> <chr>                     
1 Altria Group   8922  1911    0.214 Food & beverages & tobacco

Altria Group is the company in Food & beverages & tobacco industry with the highest profit. It had profit of $ 8922 million and tax of $ 1911 million. Its tax rate was 21.4%