Taste (data)

The data concerns tastes for music and movies of a set of 2000 individuals. It contains 5 variables of likes for music genres (french pop, rap, rock, jazz and classical), 6 variables of likes for movie genres (comedy, crime, animation, science fiction, love, musical) and 2 additional variables (gender and age).

data(Taste)

Format

A data frame with 2000 observations and the following 13 variables:

FrenchPop

factor with levels No, Yes, NA

Rap

factor with levels No, Yes, NA

Rock

factor with levels No, Yes, NA

Jazz

factor with levels No, Yes, NA

Classical

factor with levels No, Yes, NA

Comedy

factor with levels No, Yes, NA

Crime

factor with levels No, Yes, NA

Animation

factor with levels No, Yes, NA

SciFi

factor with levels No, Yes, NA

Love

factor with levels No, Yes, NA

Musical

factor with levels No, Yes, NA

Gender

factor with levels Men, Women

Age

factor with levels 15-24, 25-49, 50+

Educ

factor with levels none, low, medium, high

Details

NA stands for "not available"

Examples

data(Taste)
str(Taste)
#> 'data.frame':	2000 obs. of  14 variables:
#>  $ FrenchPop: Factor w/ 3 levels "No","Yes","NA": 2 1 2 1 2 1 1 1 1 2 ...
#>  $ Rap      : Factor w/ 3 levels "No","Yes","NA": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ Rock     : Factor w/ 3 levels "No","Yes","NA": 1 1 2 1 1 2 1 1 2 1 ...
#>  $ Jazz     : Factor w/ 3 levels "No","Yes","NA": 1 2 1 1 1 1 1 1 1 1 ...
#>  $ Classical: Factor w/ 3 levels "No","Yes","NA": 1 2 1 2 1 1 1 1 1 1 ...
#>  $ Comedy   : Factor w/ 3 levels "No","Yes","NA": 1 2 1 1 1 1 2 2 2 2 ...
#>  $ Crime    : Factor w/ 3 levels "No","Yes","NA": 1 1 1 1 2 1 1 1 1 1 ...
#>  $ Animation: Factor w/ 3 levels "No","Yes","NA": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ SciFi    : Factor w/ 3 levels "No","Yes","NA": 2 1 1 1 1 2 1 1 1 1 ...
#>  $ Love     : Factor w/ 3 levels "No","Yes","NA": 1 1 2 1 1 1 1 1 1 1 ...
#>  $ Musical  : Factor w/ 3 levels "No","Yes","NA": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ Gender   : Factor w/ 2 levels "Men","Women": 1 1 2 1 2 2 2 2 1 1 ...
#>  $ Age      : Factor w/ 3 levels "15-24","25-49",..: 2 3 2 3 2 2 2 2 1 3 ...
#>  $ Educ     : Factor w/ 4 levels "None","Low","Medium",..: 3 4 3 4 2 1 3 2 2 2 ...