This is a dataset containing several demographic features of individuals such as age, sex, number of children and region, features related to their health status like smoking situation and BMI, and their existing medical expenses. It's original purpose is to be used for predicting future medical expenses of individuals to help medical insurance making the decision on the premium to charge.
It was obtained from Kaggle: Insurance Premium Prediction. It contains 1,338 observations and 7 features. The details about each column is presented below:
# | Name | Type | Description |
---|---|---|---|
1 | age | Quantitative | age in years |
2 | sex | Categorical | male or female |
3 | bmi | Quantitative | body mass index |
4 | children | Quantitative | number of children |