Below we load the data file objects.rda (again). It contains the data frame survey on housing loans, which has 4119 rows and 21 columns. These are the first ten rows and columns:

 

   age nr.employed          job  marital           education housing default emp.var.rate cons.price.idx cons.conf.idx
1   30      5099.1  blue-collar  married            basic.9y     yes      no         -1.8         92.893         -46.2
2   39      5191.0     services   single         high.school      no      no          1.1         93.994         -36.4
3   25      5228.1     services  married         high.school     yes      no          1.4         94.465         -41.8
4   38      5228.1     services  married            basic.9y unknown      no          1.4         94.465         -41.8
5   47      5195.8       admin.  married   university.degree     yes      no         -0.1         93.200         -42.0
6   32      4963.6     services   single   university.degree      no      no         -1.1         94.199         -37.5
7   32      4963.6       admin.   single   university.degree     yes      no         -1.1         94.199         -37.5
8   41      5195.8 entrepreneur  married   university.degree     yes unknown         -0.1         93.200         -42.0
9   31      5195.8     services divorced professional.course      no      no         -0.1         93.200         -42.0
10  35      5191.0  blue-collar  married            basic.9y      no unknown          1.1         93.994         -36.4

 

Create a data frame survey_young with the data of people that are younger than 40.