introduction to dplyr

Code and text for Quiz 3

Load the 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 NVR in the corp_tax tibble

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

result

# A tibble: 1 × 5
  company profit   tax tax_rate industry                
  <chr>    <dbl> <dbl>    <dbl> <chr>                   
1 Synnex    174.  53.4    0.307 Retail & wholesale trade

Synnex is the Retail & wholesale trade industry. It had profit of $174.139 million and tax of $53.419 million. Its tax rate was 30.7%.

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Let’s find the company in the Internet Services and retailing industries with the highest profit

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

# A tibble: 1 × 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 Internet Service & Retailing Industry with the highest profit. It had profit of $8624 million and tax of $1747 million. Its tax rate was 20.3%.