This dataset, heartdisease_tbl_df, is a tibble containing information on individuals evaluated for heart disease. It is a cleaned version of the original "Heart Disease" dataset from the UCI Machine Learning Repository, and includes 303 observations on 9 variables.
Usage
data(heartdisease_tbl_df)Format
A tibble with 303 observations and 9 variables:
- Age
Age of the individual (numeric).
- Sex
Sex of the individual (factor with 2 levels: typically "Male" and "Female").
- ChestPain
Type of chest pain experienced (factor with 4 levels).
- BP
Resting blood pressure (numeric).
- Cholesterol
Serum cholesterol in mg/dl (numeric).
- BloodSugar
Indicates if fasting blood sugar > 120 mg/dl (logical).
- MaximumHR
Maximum heart rate achieved (numeric).
- ExerciseInducedAngina
Exercise-induced angina (factor with 2 levels).
- HeartDisease
Presence or absence of heart disease (factor with 2 levels).
Source
Data taken from the cheese package version 0.1.2. Original source: UCI Machine Learning Repository. Heart Disease Data Set. https://archive.ics.uci.edu/ml/datasets/Heart+Disease
Details
The dataset name has been kept as 'heartdisease_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the CardioDataSets package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified in any way.