Introduction to dpylr

Code and text for Quix 3

Load the packages that we need

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

Read the data into R.

url <- "https://estanny.com/static/week2/corp_tax.xlsx"
destfile <- "corp_tax.xlsx"
curl::curl_download(url, destfile)
corp_tax <- read_excel(destfile)
#View(corp_tax)

corp_tax <-read_excel(here("_posts", "2022-02-15-introduction-to-dpylr","corp_tax.xlsx"))

Lets look at Amazon.com in the corp_tax tibble

result <- corp_tax %>% 
  filter(company == 'Amazon.com')
result

# A tibble: 1 x 5
  company    profit   tax tax_rate industry                
  <chr>       <dbl> <dbl>    <dbl> <chr>                   
1 Amazon.com  10835  -129  -0.0119 Retail & wholesale trade

Amazon.com is in the Retail & wholesale trade. It had profit of 1.0835^{4} million and tax of -129. It’s tax rate was -1.1905861%.

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

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