Fork of Data set on Heart attack possibility
This visualization plots the relationship between age, resting blood pressure, and serum cholesterol, with points colored by gender to explore heart attack risk factors. The data comes from the Heart Disease UCI dataset, sourced from Kaggle. Built with Vega-Lite API and D3 v5, the chart uses circular marks with opacity to show data density, mapping age to the x-axis, blood pressure to the y-axis, cholesterol to point size, and gender to color. The visualization includes a custom config for improved label and title readability.
AI-generated descriptionThis 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
color represent gender
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