This dataset contains a many-to-one relationship with the df_household dataset. Hence, you can apply joins using the uuid
.
Format
A tibble with 905 rows and 8 variables:
- uuid
Unique ID
- line_number
Number identifier for each member within the household
- class
Urbanity:
Rural
orUrban
- sex
Sex of the household member
- age
Age of the household member
- attending_school
Whether the household member (aged 5-24 years old) is currently attending school:
1
- currently attending;2
- currently not attending- completed_6yrs_schooling
Whether completed at least six (6) years of schooling:
1
- completed;2
-not completed- undernourished
Whether the household member (aged below 70 years old) is undernourished:
1
- undernourished;2
- not undernourished
Examples
df_household_roster
#> # A tibble: 905 × 8
#> uuid line_number class sex age attending_school undernourished
#> <chr> <int> <chr> <chr> <int> <int> <int>
#> 1 5dbec60a-ebda-… 1 Rural Male 55 NA 2
#> 2 5dbec60a-ebda-… 2 Rural Fema… 48 NA 2
#> 3 5dbec60a-ebda-… 3 Rural Fema… 17 1 2
#> 4 5dbec60a-ebda-… 4 Rural Male 10 1 2
#> 5 8b70c208-8642-… 1 Rural Fema… 30 NA 2
#> 6 8b70c208-8642-… 2 Rural Male 26 NA 2
#> 7 8b70c208-8642-… 3 Rural Male 3 NA 2
#> 8 8b70c208-8642-… 4 Rural Male 19 1 2
#> 9 aa7cb64d-ba16-… 1 Rural Male 66 NA 2
#> 10 aa7cb64d-ba16-… 2 Rural Fema… 62 NA 2
#> # ℹ 895 more rows
#> # ℹ 1 more variable: completed_6yrs_schooling <int>