About 800 students studying undergraduate statistics were asked many lifestyle questions.
A data frame with 804 observations on the following 29 variables.
Gender, a factor, (female or male)
age in years, a numeric vector
eye colour, a factor, (blue, brown, green, hazel or other)
Number of body piercings, a numeric vector
Any body piercings? a factor, (Yes or No)
Number of tattoos, a numeric vector
Any tattoos? a factor, (Yes or No)
Wears glasses etc.? a factor, (Yes or No)
Average number of hours of sleep per night, a numeric vector
Average number of hours of study per week, a numeric vector
Average number of hours watching TV per week, a numeric vector
Number of movies seen at a cinema during the last 3 months, a numeric vector
Seen movies in last 3 months? a factor, (Yes or No)
Favourite sport, a factor, about 19 of them
Favourite entertainment, a factor, about 15 of them
Favourite fruit a factor, about 13 of them
Average income during semester per week, a numeric vector
Amount spent on rent or room and board per week, a numeric vector
Average amount spent on clothes per month, a numeric vector
Average cost to get a hair-cut, a numeric vector
Average amount spent on tobacco per week, a numeric vector
Smokes? a factor, (Yes or No)
Average amount spent on alcohol per week, a numeric vector
Buys (purchases) alcohol? a factor, (Yes or No)
Average number text messages sent per day, a numeric vector.
Average number text messages received per day, a numeric vector.
Uses text messaging? a factor, (Yes or No)
Country of birth, a factor, about 54 of them
Student status, a factor, (International, NZ.Citizen, NZ.Resident)
This data was collected online and anonymously in 2010. The respondents were students studying an undergraduate statistics course at a New Zealand university. Possibly there are duplicate students (due to failing and re-enrolling). All monies are in NZD. Note the data has had minimal checking. Most numerical variables tend to have measurement error, and all of them happen to be all integer-valued.
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