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Loading Data 2
This example demonstrates loading a heart failure prediction dataset from a CSV file via a file input, then displaying its contents as a formatted JSON object. The visualization initially fetches `heart.csv` using D3's `fetch` and `csvParse` functions, converting numeric columns to numbers. Users can subsequently load their own CSV file, which is read using the `FileReader` API and parsed by `d3.csvParse`, updating the displayed state. The code relies on D3's `select`, `selectAll`, and `join` operations to render the data.
AI-generated descriptionThis is my second dataset, with a heart faliure prediction dataset from kaggle.
https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction Ordinal Columns:
"Age": Numerical,
"Sex": Categorical,
"ChestPainType": Ordinal,
"RestingBP": Numerical,
"Cholesterol": Numerical,
"FastingBS": Numerical,
"RestingECG": Categorical,
"MaxHR": Numerical,
"ExerciseAngina": Categorical,
"Oldpeak": Numerical,
"ST_Slope": Categorical,
"HeartDisease": Numerical
MIT Licensed
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