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 JetBlue Airways in the corp_tax tibble

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

result

# A tibble: 1 x 5
  company         profit   tax tax_rate industry      
  <chr>            <dbl> <dbl>    <dbl> <chr>         
1 JetBlue Airways    219   -60   -0.274 Transportation

JetBlue Airways is in the Transportation industry. It had profit of $219 million and tax of $-60 million. Its tax rate was -27.4%.

---

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

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

The company with the highest profit in the corp_tax.xlsx dataset in the Food & beverages & tobacco industry is Altria Group. Its profit was $ 8922 million. iTS TAX WAS $ 1911 million. Its tax rate was 21.4 %.