This *intermediate* level data set provides health examination data among 303 patients who presented with chest pain and might have been suffering from heart disease. The data set has 14 attributes including patients' age, gender, blood pressure, cholesterol level, and their heart disease status indicating whether the diagnosed patient were found to have a heart disease or not. This data set is recommended for learning and practicing your skills in **classification modelling techniques**. Feel free to do **exploratory data analysis** and **data visualization** on the data set. The Following data dictionary gives more details on this data set:
#14 | num | angiographic disease status (0: no heart disease, > 0: heart disease) | qualitative
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### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Heart Disease Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/heart+Disease). The UCI page mentions following as the principal investigator responsible for the data collection:
*1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
*2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
*3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
*4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation:Robert Detrano, M.D., Ph.D.
