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 theMetals & metal products industry.It had profit of 788.60535million and tax of 126.76535 million. It’s tax rate was 16.1

Let’s find the company in the Masco Industry.

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

# A tibble: 0 × 5
# … with 5 variables: company <chr>, profit <dbl>, tax <dbl>,
#   tax_rate <dbl>, industry <chr>