Introduction to dplyer

Code and text for Quiz 3.

Load and Package 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 DISH Network in the corp_tax tibble.

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

result

# A tibble: 1 x 5
  company      profit   tax tax_rate industry          
  <chr>         <dbl> <dbl>    <dbl> <chr>             
1 DISH Network  2145.  44.5   0.0207 Telecommunications

DISH Network is in the Telecommunications industry. It had profit of $ 2145.257 million and tax of $ 44.451 million. Its tax rate was 2.1%.

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

result <- corp_tax %>% 
  filter(industry == 'Utilities, gas and electric') %>% 
  slice_max(profit, n=1)
result

# A tibble: 1 x 5
  company        profit   tax tax_rate industry                   
  <chr>           <dbl> <dbl>    <dbl> <chr>                      
1 NextEra Energy   7289    30  0.00412 Utilities, gas and electric

NextEra Energy is the company in Utilities, gas and electric industry with the highest profit. It had profit of $ 7289 million and tax of $ 30 million. Its tax rate was 0.4%.