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Loading Data 1
This example demonstrates loading a CSV file containing red and white wine quality data, with numerical columns for attributes like acidity, sugar, and alcohol. Users can either select a local file or rely on a default dataset. The visualization uses d3.select to manage the display, rendering the parsed data as JSON in a preformatted text block. It leverages d3.csvParse to convert the file contents into structured data, with numeric columns explicitly cast to numbers before updating the visualization state.
AI-generated descriptionThis is my first dataset, with a heart faliure prediction dataset from kaggle.
https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction
Columns: "fixed_acidity": Numerical "volatile_acidity": Numerical "citric_acid": Numerical "residual_sugar": Numerical "chlorides": Numerical "free_sulfur_dioxide": Numerical "total_sulfur_dioxide": Numerical "density": Numerical "ph": Numerical "sulphates": Numerical "alcohol": Numerical "quality": Numerical "type": Numerical