The Cardiovascular Diseases Risk Prediction Dataset table contains 308,854 rows and 20 columns capturing data related to general health, exercise, heart disease, cancer, depression, diabetes, arthritis, sex, age category, height, weight, BMI, smoking history, alcohol consumption, and fruit and vegetable consumption. This dataset can provide valuable insights and be used for predicting and assessing the risk of cardiovascular diseases based on various health and lifestyle factors.
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