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02_Data for Heart Attack possibility

✓ Published1🌍 Public
AAbdul Salam Almadani
Last edited Sep 23, 2020
Created on Sep 9, 2020

This example displays a summary of the Heart Disease UCI dataset, showing the file size in kilobytes, row count, and number of columns. The code loads the CSV data from a GitHub gist using the d3.csv method from D3 v5. It then computes the byte size of the formatted data with d3.csvFormat and presents the statistics in a large text element. The dataset includes 14 attributes such as age, cholesterol, and chest pain type, which can be used to analyze factors contributing to heart attack risk.

AI-generated description

This dataset about "Health care: Data set on Heart attack possibility" Originally published at Kaggle: Heart Disease UCI

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers. you can find the full data with 76 features at machine learning repository: Heart Disease Data Set

Attribute

  • age
  • sex
  • cp : chest pain type (4 values)
  • trestbps: resting blood pressure
  • chol: serum cholestoral in mg/dl
  • fbs: fasting blood sugar > 120 mg/dl
  • restecg: resting electrocardiographic results (values 0,1,2)
  • thalach: maximum heart rate achieved
  • exang: exercise induced angina
  • oldpeak = ST depression induced by exercise relative to rest
  • slope: the slope of the peak exercise ST segment
  • ca: number of major vessels (0-3) colored by flourosopy
  • thal: 0 = normal; 1 = fixed defect; 2 = reversable defect
  • target: 0= less chance of heart attack 1= more chance of heart attack

Some questions

  • What are most resons for heart attack possibility
  • What are the most ages groups for heart attack
  • What are the top resons for heart attacks
MIT Licensed

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