Description Usage Format Fields Source References
The data consists of 270 patients described by six numerical variables and eight categorical variables.
1 |
A data frame of 270 rows (patients) and 14 columns (variables):
age
Numerical. Age in years.
resting_blood_pressure(trestbps)
Numerical. Resting blood pressure (in mmHg) at hospital admittance.
maximum_heart_rate_achieved(maxhr).
Numerical. Maximum heart rate achieved during exercise.
oldpeak
Numerical. ST depression induced by exercise relative to rest.
number_of_major_vessels_colored_by_fluoroscopy(numv)
Numerical. Number of major vessels (0-3) colored by fluoroscopy.
sex
Categorical. Sex (1 = male; 0 = female).
chest_pain_type(cp)
Categorical. 1: typical angina, 2: atypical angina, 3: non-anginal pain, 4: asymptomatic.
fasting_blood_sugar_>_120mg/dl(fbs)
Categorical. 1 = true; 0 = false.
resting_electrocardiographic_results(restecg)
Categorical. 0: normal, 1: ST-T wave abnormality (T wave inversions and/or ST elevation or depression >0.05mV), 2: showing probable or definite left ventricular hypertrophy by Estes' criteria.
exercice_induced_angina(exang)
Categorical. 1 = yes; 0 = no.
the_slope_of_the_peak_exercice_ST_segment(slope)
Categorical. 1: upsloping, 2: flat, 3: downsloping.
thalassemia(thal)
Categorical. 3: normal blood flow, 6: fixed defect, 7: reversible defect.
presence_or_absence_of_heart_disease(HD)
Categorical. Absence or presence of a heart disease.
http://archive.ics.uci.edu/ml/datasets/statlog+(heart)
A. Frank and A. Asuncion. UCI machine learning repository, statlog (heart) data set, 2010.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.