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heart-failure-prediction

✓ Published0🌍 Public
SSree Likhith
Last edited Feb 20, 2024
Created on Jan 23, 2024

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 description

The heart-failure-prediction,

Analysis 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

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