insurance: Insurance Data
In sunsmiling/PPtreeregViz: Projection Pursuit Regression Tree Visualization
insurance R Documentation
Insurance Data
Description
Dataset insurance is a part of dataset imported from
insurance.csv in Kaggle "Medical Cost Personal Dataset".
This data source material comes from Machine Learning with R by Brett Lantz book.
It is simply come cleaned up and, it contains 1338 rows and 7 variables. These are:
Usage
data(insurance)
Format
a data frame with 1338 rows and 7 columns.
Details
charges - Individual medical costs billed by health insurance.
age - age of primary beneficiary.
sex - insurance contractor gender, female, male.
bmi - Body mass index, providing an understanding of body, weights that are relatively high or low relative to height,
objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9.
children - Number of children covered by health insurance / Number of dependents.
smoker - Smoking.
region - the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.
Source: https://www.kaggle.com/mirichoi0218/insurance
Source
The insurance.csv dataset was downloaded from the Kaggle site.
The dataset was obtained from
https://www.kaggle.com/mirichoi0218/insurance on May 11, 2021.
sunsmiling/PPtreeregViz documentation built on Oct. 12, 2023, 11:15 a.m.
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| insurance | R Documentation |
Insurance Data
Description
Dataset insurance is a part of dataset imported from
insurance.csv in Kaggle "Medical Cost Personal Dataset".
This data source material comes from Machine Learning with R by Brett Lantz book.
It is simply come cleaned up and, it contains 1338 rows and 7 variables. These are:
Usage
data(insurance)
Format
a data frame with 1338 rows and 7 columns.
Details
charges - Individual medical costs billed by health insurance.
age - age of primary beneficiary.
sex - insurance contractor gender, female, male.
bmi - Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9.
children - Number of children covered by health insurance / Number of dependents.
smoker - Smoking.
region - the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.
Source: https://www.kaggle.com/mirichoi0218/insurance
Source
The insurance.csv dataset was downloaded from the Kaggle site.
The dataset was obtained from
https://www.kaggle.com/mirichoi0218/insurance on May 11, 2021.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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