heart-failure-prediction
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This visualization explores how clinical attributes contribute to heart failure risk using the Kaggle heart-failure-prediction dataset. Two interactive charts examine gender differences and the impact of factors like age, chest pain type, and maximum heart rate on disease outcomes. The code loads data from a CSV file, converts numeric fields, and renders visualizations using JavaScript within a VizHub iframe. The example demonstrates data parsing and chart construction without specifying particular D3 API calls in the visible code.
AI-generated descriptionAnalysis we can Perform
How different clinical attributes contribute to heart failure risk. And also we can investigate if there are any significant differences in heart failure cases between genders.
<iframe src="https://vizhub.com/Sreelikhith/fce64d9c46bb43c6923bfeb33cd46e1c" width="960" height="500" scrolling="no" frameborder="no"></iframe> <iframe src="https://vizhub.com/Sreelikhith/08bd1d13dbf240b5baa9938c8f18d0a8" width="960" height="500" scrolling="no" frameborder="no"></iframe>MIT Licensed