- Study guides, Class notes & Summaries

putting in a dataset - data<- c(81,85,93,93,99,76,75,84,78,84,81,82,89,81,96,82,74,70,84,86,80,70,131,75,88,102,115,89,82,79,106) length(data) - tells you how may entries are in your vector sort(data) - puts data smallest to largest summary(data) - returns the five number summary and the sample mean mean(data) sd(data) sum(data) - sample mean sample standard deviation adds all the elements of the vector seq(1,100,1) seq(2,100,2) - tells r to create the sequence of numbers from 1 to...

data warehouse - ️️These data are recorded and stored electronically, in vast digital repositories big data - ️️describe data sets so large that traditional methods of storage and analysis are inadequate. types of variables - ️️quantitative, qualitative categorical - ️️arise from descriptive responses to questions like "What kind of advertising do you use?".may only have two possible values (like "yes" or "no").may be a number like a zip code Qualitative...