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 Occidental Petroleum in the corp_tax tibble.

result  <- corp_tax  %>% 
  filter(company == "Occidental Petroleum")

result

# A tibble: 1 x 5
  company              profit   tax tax_rate industry            
  <chr>                 <dbl> <dbl>    <dbl> <chr>               
1 Occidental Petroleum   3379   -23 -0.00681 Oil, gas & pipelines

Occidental Petroleum is in the Oil, gas & pipelines industry. It had a profit of $3379 million and tax of $-23 million. Its tax rate was -0.7%.

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Let’s find the company in the Industrial machinery industry with the highest profit.

result  <- corp_tax  %>% 
  filter(industry == 'Industrial machinery')  %>% 
  slice_max(profit, n=1)
result

# A tibble: 1 x 5
  company                 profit   tax tax_rate industry            
  <chr>                    <dbl> <dbl>    <dbl> <chr>               
1 Honeywell International   2830   -71  -0.0251 Industrial machinery

Honeywell International is the company in Industrial Machinery industry with the highest profit. It had profit of $2830 million and tax of $-71 million. Its tax rate was -2.5%.