This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form.
12 variables are used to cluster the observations
chest pain type (categorical with 4 levels)
resting blood pressure (continuous)
serum cholestoral in mg/dl (continuous)
fasting blood sugar > 120 mg/dl (binary)
resting electrocardiographic results (categorical with 3 levels)
maximum heart rate achieved (continuous)
exercise induced angina (binary)
the slope of the peak exercise ST segment (categorical with 3 levels)
number of major vessels colored by flourosopy (categorical with 4 levels)
thal: 3 = normal; 6 = fixed defect; 7 = reversable defect (categorical with 3 levels)
1 variable define a ”true” partition: Absence (1) or presence (2) of heart disease
UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science: http://archive.ics.uci.edu/ml/datasets/statlog+(heart)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.