This repository performs an exploratory data analysis on the Kaggle dataset https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset. This data set provides the following details about patients that could contribute to heart attack:
About dataset
Age : Age of the patient
Sex : Sex of the patient
exang: exercise induced angina (1 = yes; 0 = no)
ca: number of major vessels (0-3)
cp : Chest Pain type chest pain type
Value 1: typical angina
Value 2: atypical angina
Value 3: non-anginal pain Value 4: asymptomatic
trtbps : resting blood pressure (in mm Hg)
chol : cholestoral in mg/dl fetched via BMI sensor
fbs : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
rest_ecg : resting electrocardiographic results
Value 0: normal
Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV)
Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria
thalach : maximum heart rate achieved target : 0= less chance of heart attack 1= more chance of heart attack