# hobbies: hobbies (data) In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

## Description

The data used here concern a questionnaire on hobbies. We asked to 8403 individuals how answer questions about their hobbies (18 questions). The following four variables were used to label the individuals: sex (male, female), age (15-25, 26-35, 36-45, 46-55, 56-65, 66-75, 76-85, 86-100), marital status (single, married, widowed,divorced, remarried), profession (manual labourer, unskilled worker, technician, foreman, senior management, employee, other). And finally, a quantitative variable indicates the number of hobbies practised out of the 18 possible choices.

## Usage

 `1` ```data(tea) ```

## Format

A data frame with 8403 rows and 23 columns. Rows represent the individuals, columns represent the different questions. The first 18 questions are active ones, and the 4 following ones are supplementary categorical variables and the 23th is a supplementary quantitative variable (the number of activities)

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```data(hobbies) ## Not run: res.mca <- MCA(hobbies,quali.sup=19:22,quanti.sup=23,method="Burt") plot(res.mca,invisible=c("ind","quali.sup"),hab="quali") ### active var. only plot(res.mca,invisible=c("var","quali.sup"),cex=.5,label="none") ### individuals only plot(res.mca,invisible=c("ind","var"),hab="quali") ### supp. qualitative var. only dimdesc(res.mca) plotellipses(res.mca,keepvar=1:4) ## End(Not run) ```

FactoMineR documentation built on Jan. 8, 2021, 2:18 a.m.