Variables are any characteristics or attributes that can vary or change in your data set. For example, if you are analyzing customer data, some possible variables are age, gender, income, location ...

Variables are any characteristics or attributes that can vary or change in your data set. For example, if you are analyzing customer data, some possible variables are age, gender, income, location ...

The IN= data set option creates a special boolean variable that indicates whether the data set contributed data to the current observation. The variable has a value of 1 when true, and a value of 0 ...

The DROP= data set option prevents the variable TeamName from being written to the output SAS data set called TOTAL_POINTS. The INPUT statement describes the data by giving a name to each variable, ...

This repo contains an R package called iPVs. The purpose of iPVs is to aid users with with the identification of representative (or independent) principal variables in an inter-correlated data set.

In data set, Satisfaction variable is dependent on ProdQual, Ecom, TechSup, CompRes, Advertising, ProdLine, SalesFImage, ComPricing, WartyClaim, OrdBilling and DelSpeed. Descriptive Statistics. As we ...