Music (data)

The data concerns tastes for music of a set of 500 individuals. It contains 5 variables of likes for music genres (french pop, rap, rock, jazz and classical), 2 variables about music listening and 2 additional variables (gender and age).

data(Music)

Format

A data frame with 500 observations and the following 7 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

Gender

factor with levels Men, Women

Age

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

OnlyMus

factor with levels Daily, Often, Rare, Never, indicating how often one only listens to music.

Daily

is a factor with levels No, Yes indicating if one listens to music every day.

Details

NA stands for "not available"

Examples

data(Music)
str(Music)
#> 'data.frame':	500 obs. of  9 variables:
#>  $ FrenchPop: Factor w/ 3 levels "No","Yes","NA": 3 1 1 1 2 2 1 2 1 1 ...
#>  $ Rap      : Factor w/ 3 levels "No","Yes","NA": 1 2 1 1 1 1 1 1 1 2 ...
#>  $ Rock     : Factor w/ 3 levels "No","Yes","NA": 2 1 2 2 1 2 1 2 1 1 ...
#>  $ Jazz     : Factor w/ 3 levels "No","Yes","NA": 1 3 1 1 1 1 1 1 1 1 ...
#>  $ Classical: Factor w/ 3 levels "No","Yes","NA": 1 1 1 1 2 1 1 1 1 3 ...
#>  $ Gender   : Factor w/ 2 levels "Men","Women": 1 2 2 2 2 1 2 1 2 1 ...
#>  $ Age      : Factor w/ 3 levels "15-24","25-49",..: 2 1 1 1 2 3 2 1 2 2 ...
#>  $ OnlyMus  : Factor w/ 4 levels "Daily","Often",..: 3 2 1 3 4 4 4 4 3 4 ...
#>  $ Daily    : Factor w/ 2 levels "No","Yes": 1 2 2 2 1 1 1 1 2 2 ...