This data (adapted from the UCI Machine Learning Repository at https://archive.ics.uci.edu/) presents a single data frame reporting heart disease diagnosis results for patients from studies carried out by Andras Janosi at the Hungarian Institute of Cardiology; William Steinbrunn and Matthias Pfisterer at the University Hospitals of Zurich and Basel; and two separate studies by Robert Detrano carried out at the Cleveland Clinic Foundation and Long Beach V.A. Medical Center. The data contains measurements of 15 variables collected on 920 participants:
Age in years
Sex
Reported chest pain type: typical angina, non-typical angina, non-angina, or no pain
Resting blood pressure (mmHg on admission to hospital)
Serum cholesterol in mg/dl
Indicator of fasting blood sugar >120 mg/dl
Resting electrocardiographic results: normal, indicating ventricular hypertrophy, or displaying ST-T wave abnormality
Maximum measured heart rate
Indicator of exercise induced angina
ST wave depression induced by exercise relative to rest
The slope of the ST segment during peak exercise
Number of major blood vessels coloured by fluoroscopy
Type of heart defect
Diagnosis of heart disease. Values greater than one indicate heart disease of different sorts while a value of zero indicates no heart disease
The study where the participant's data was collected
data(heart)A matrix with 920 rows and 15 columns, with each row reporting measurements for a participant in one of the heart disease studies.