European health insurance
euhealthinsurance.RdThe euhealthinsurance compiles data coming from a health group collective fund that
covers different kind of health perils to the members.
Available data are: gender, age at inception of coverage, role in the policy,
number and agggregate amount.
Usage
data(euhealthinsurance)Format
euhealthinsurance is a dataframe with 157221 observations and 21 columns
id_anoanonymized id.
relationrole in the policy.
gendergender: M, F.
policy_yearscumulated exposure.
age_at_inceptionattained age when the policy started.
num_analysisnumber of laboratory test covered.
num_dentistrynumber of dental health services covered.
num_diagnosticsnumber of exams covered.
num_endoscopynumber of endoscopies covered.
num_hospitalizationsnumber of hospitalizations covered.
num_mammographynumber of mammographies covered.
num_operationsnumber of surgeries covered.
num_visitsnumber of specialist visits covered.
amt_analysisamount of laboratory test covered.
amt_dentistryamount of dental health services covered.
amt_diagnosticsamount of exams covered.
amt_endoscopyamount of endoscopies covered.
amt_hospitalizationsamount of hospitalizations covered.
amt_mammographyamount of mammographies covered.
amt_operationsamount of surgeries covered.
amt_visitsamount of specialist visits covered.
Examples
# (1) load of data
#
data(euhealthinsurance)
head(euhealthinsurance)
#> # A tibble: 6 × 22
#>   id_anon relation       gender policy_years age_at_inception num_analysis
#>   <fct>   <fct>          <fct>         <dbl>            <dbl>        <int>
#> 1 CA0001  contract_owner M              1.50             46.1            0
#> 2 CA0002  contract_owner M              1.50             33.5            0
#> 3 CA0003  contract_owner M              1.50             41.4            0
#> 4 CA0004  contract_owner M              1.50             36.0            0
#> 5 CA0005  contract_owner M              1.50             54.2            0
#> 6 CA0006  contract_owner M              1.50             50.1            0
#> # ℹ 16 more variables: num_dentistry <int>, num_diagnostics <int>,
#> #   num_endoscopy <int>, num_hospitalizations <int>, num_mammography <int>,
#> #   num_operations <int>, num_visits <int>, amt_analysis <dbl>,
#> #   amt_dentistry <dbl>, amt_diagnostics <dbl>, amt_endoscopy <dbl>,
#> #   amt_hospitalizations <dbl>, amt_mammography <dbl>, amt_operations <dbl>,
#> #   amt_visits <dbl>, group <fct>