Introduction to dplyer

Code and text for Quiz 3.

Load packages that we need.

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

Read the data into R.

corp_tax <- read_excel(here("corp_tax.xlsx"))

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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Lets find the company in the Internet Services & Retailing industry with the highest profit.

result <- corp_tax %>% 
  filter(industry == 'Internet Services & Retailing') %>% 
  slice_max(profit, n=1)
result

# A tibble: 1 x 5
  company  profit   tax tax_rate industry                     
  <chr>     <dbl> <dbl>    <dbl> <chr>                        
1 Facebook   8624  1747    0.203 Internet Services & Retailing

Facebook is the company in Internet Services & Retailing industry with the highest profit. It had a profit of $8624 million and tax of $1747 million. Its tax rate was 20.3%.