Notebook

Aug 8, 2024, 5:48 PM

Framingham_Kaggle.csv

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unified_customers.csv

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What factors influence heart disease risk?

The Framingham dataset has been successfully loaded. Here are the first few columns of the dataset:
  • male: Gender of the participant (1 = Male, 0 = Female)
  • age: Age of the participant
  • education: Education level of the participant
  • currentSmoker: Whether the participant is a current smoker (1 = Yes, 0 = No)
  • cigsPerDay: Number of cigarettes smoked per day
  • BPMeds: Whether the participant is on blood pressure medication (1 = Yes, 0 = No)
  • prevalentStroke: Whether the participant has had a stroke (1 = Yes, 0 = No)
  • prevalentHyp: Whether the participant has hypertension (1 = Yes, 0 = No)
  • diabetes: Whether the participant has diabetes (1 = Yes, 0 = No)
  • totChol: Total cholesterol level
  • sysBP: Systolic blood pressure
  • diaBP: Diastolic blood pressure
  • BMI: Body Mass Index
  • heartRate: Heart rate
  • glucose: Glucose level
  • TenYearCHD: Whether the participant developed coronary heart disease in the next 10 years (1 = Yes, 0 = No)
Next, let's analyze the correlation between these factors and the risk of developing heart disease (TenYearCHD).
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