heartdisease_tbl_df: Heart Disease Patients Clinical Data

In CardioDataSets: A Comprehensive Collection of Cardiovascular and Heart Disease Datasets

Heart Disease Patients Clinical Data

Description

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).

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.

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

CardioDataSets documentation built on June 8, 2025, 10:59 a.m.