"Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%."
Although, there is still some controversy. You should not get in the habit of writing sloppy code, but you need to decide where best to focus.
Also, given that you already have a project for this course, there is the awkward possibility of double dipping your projects. (cf. "An historic economic analysis of urban waste treatment programs.")
R demonstration
getwd()
setwd()
list.files()
s <- read.csv("students.csv")
head(s)
tail(s)
summary(s)
str(s)
names(s)
hist(s$R)
hist(s$Python)
class(s)
table(s)
library(swirl)
ls()
swirl()