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Basic terms and definitions Cheat Sheet (DRAFT) by

Some basic commands for the use of R Studio

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Terms and defini­tions

Qualit­ative
Quanti­tative
Discrete
Continious
catego­ric­al(­large, medium, small)
can be measured in terms of numbers
only a finite number of values
takes on any value in a certain range
non-nu­meric
can be sorted in a logical way
can be counted
can be measured
can not be sorted­/or­dered in a logical way
example age, height­,width
example number of cats in a neighb­ourhood can be counted but can not be measured
example speed of a car, width, length
example gender, eye color, religion
Qualit­ative variables are Discrete but Quanti­tative can be either Discrete or Continuous
  

Nominal

Qualit­ati­ve/­cat­ego­rical
order does not matter
can't be sorted
example Name, color, labels, gender

Ordinal

Rankin­g/P­lac­ement
Order does matter
Diff can not be measured
example cgpa is ranked from 1-4, military rankings, consumer satisf­ication rankings

Interval

Order does matter
Diff can be measured
Ratio can not be measured
No 'True' or 0 starting point
example dates of events, Temp in Celsius
 

Ratio

Order does matter
Diff can be measured
Ratio can be measured
'True' or 0 starting point
example length, Temp in Kelvin­,amount of money