introduction to dplyr

A short description of the post. Code and text for Quiz 3 - name: Co Nhan url: https://example.com/norajones

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 NVR in the corp_tax tibble.

result <- corp_tax %>%
  filter(company == 'NVR')

result

# A tibble: 1 x 5
  company profit   tax tax_rate industry                  
  <chr>    <dbl> <dbl>    <dbl> <chr>                     
1 NVR       923.  126.    0.137 Engineering & construction

NVR is in the Engineering & construction industry. It had profit of $922.694 million and tax of $ 126.358 million. Its tax rate was 13.7

Let’s find the company in the Utilities, gas and electric industry with the highest profit

result2 = corp_tax %>%
  filter(industry == 'Chemicals') %>% 
  slice_max(profit, n=1)
result2

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

Chemicals is the company in Utilities, gas nad electric industry with the highest profit. It had profit of $1307.278 million and tax of $ 288.755 million. Its tax rate was 22.1