This is a synthetic dataset containing person information for demonstration purposes.
Format
A labelled data frame with 2918 rows and 11 variables:
- person_id
Numeric identifier for each person
- sex
Factor indicating the sex of the person
- age
Numeric age of the person
- marital_status
Factor indicating marital status
- employed
Employment status
- seeing
Functional difficulty in seeing
- hearing
Functional difficulty in hearing
- walking
Functional difficulty in walking
- remembering
Functional difficulty in remembering
- self_caring
Functional difficulty in self-caring
- communicating
Functional difficulty in communicating
Examples
person_record
#> # A tibble: 2,918 × 11
#> person_id age sex marital_status employed seeing hearing walking
#> <int> <int> <int+lbl> <int+lbl> <int+lb> <int+l> <int+l> <int+l>
#> 1 1 46 1 [Male] 2 [Married] 1 [Yes] 1 [No … 1 [No … 1 [No …
#> 2 2 44 2 [Female] 2 [Married] 1 [Yes] 1 [No … 1 [No … 1 [No …
#> 3 3 10 1 [Male] 1 [Single/never … NA 1 [No … 1 [No … 1 [No …
#> 4 4 65 2 [Female] 2 [Married] 1 [Yes] 1 [No … 1 [No … 1 [No …
#> 5 5 65 1 [Male] 2 [Married] 1 [Yes] 1 [No … 1 [No … 1 [No …
#> 6 6 28 2 [Female] 1 [Single/never … 2 [No] 1 [No … 1 [No … 1 [No …
#> 7 7 25 2 [Female] 1 [Single/never … 2 [No] 1 [No … 1 [No … 1 [No …
#> 8 8 54 1 [Male] 2 [Married] 2 [No] 1 [No … 1 [No … 1 [No …
#> 9 9 50 2 [Female] 2 [Married] 1 [Yes] 1 [No … 1 [No … 1 [No …
#> 10 10 29 1 [Male] 1 [Single/never … 2 [No] 1 [No … 1 [No … 1 [No …
#> # ℹ 2,908 more rows
#> # ℹ 3 more variables: remembering <int+lbl>, self_caring <int+lbl>,
#> # communicating <int+lbl>