This code loads the “readxl” library and imports the “companies.xlsx” data file.
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library(readxl)
companies <- read_excel("companies.xlsx")
View(companies)
The following code will:
1. create a new variable “logAssets” which is the log of “assets” 2. summarize: “salesMillions”, “profitsMillions”, “numEmploy”
companies$logAssets <- log(companies$assets)
cat("Sales in Millions\n"); summary(companies$salesMillions)
Sales in Millions
Min. 1st Qu. Median Mean
709.3 1173.0 2934.2 5433.9
3rd Qu. Max.
5566.1 63438.0
cat("Profit in Millions\n"); summary(companies$profitsMillions)
Profit in Millions
Min. 1st Qu. Median Mean
-680.40 46.12 201.70 409.32
3rd Qu. Max.
697.58 3758.00
cat("Number of employees\n"); summary(companies$numEmploy)
Number of employees
Min. 1st Qu. Median Mean
2900 8565 19050 38235
3rd Qu. Max.
41222 383220
Next, create a box-whisker plot of profit per employee conditional on the size of the company
boxplot(profitPerEmp ~ sizeCo, data = companies)

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