Fork of Scatter Plot

Fork of Scatter Plot with Menus - Heart Disease Dataset

This scatter plot visualizes heart disease patient data from the UCI dataset, mapping age against maximum heart rate achieved. Users can dynamically change both axes via dropdown menus, selecting from quantitative variables like resting blood pressure or categorical options like patient sex. Built with D3 v6, the visualization uses `scaleLinear` and `scalePoint` for axis scaling, with smooth transitions animating circle positions and radii. The plot renders as SVG, with circles colored by patient sex (red for female, blue for male) and axis updates triggered through custom menu components dispatching change events.

90% match

Visualizing correlations between heart disease patients' data

This interactive scatterplot displays correlations between heart disease patient attributes—such as age, cholesterol, and BMI—with heart disease status, using a red dot for each individual. Users select any attribute pair from the two dropdown menus to swap the axes, and the points animate smoothly into their new positions. The visualization is built with D3 v7, using the `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs for scaling and axes, while `transition.attrTween` or `transition().duration().delay()` handles the animation. The data comes from a CSV file loaded via `d3.csv`.

AAshtone Onyango

87% match

Visualizing correlations between heart disease patients' data

This interactive scatter plot lets users explore correlations among heart disease patients by selecting any two metrics from dropdown menus, which map to the x- and y-axes. Each point represents a patient, colored by heart disease status, from a CSV dataset. Built with D3 v7, it uses scaleLinear, axisBottom, axisLeft, and transition().delay().duration() for animated point placement. The chart renders in SVG with adjustable margins and axis labels.

AAshtone Onyango

86% match

Reusable Scatter Plot of Heart Disease Dataset

This interactive scatter plot visualizes the Heart Disease UCI dataset from Kaggle, mapping patient age on the x-axis and maximum heart rate achieved on the y-axis, with points colored by sex (red for female, blue for male). Built with D3.js, the visualization uses a reusable scatter plot module that supports dynamic axis updates, animating through different x-axis attributes (age, thalach, restecg) every two seconds using `setInterval` and `transition().duration(1000)`. The SVG renders axes via `axisLeft` and `axisBottom`, with data loaded asynchronously via `csv`.

85% match

Fork of Cars Scatter Plot

This scatter plot visualizes cardiovascular health data from a heart disease CSV, plotting each patient’s weight against their age as horizontal bars. The visualization uses D3 v5 with `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, rendering SVG rectangles. Data is loaded via `d3.csv` from the `heart_disease_data.csv` file, with each bar’s width proportional to weight and height set by band width. The example is a fork of an original cars scatter plot, adapted to this medical dataset.

AAshtone Onyango

Iterated Work: Heart Disease Scatter Plot

This scatter plot shows the relationship between patient age and maximum heart rate from the Heart Disease UCI dataset, with points colored by gender (crimson for female, dark blue for male). The visualization uses D3 v5 with SVG rendering, employing `d3.axisBottom` and `d3.axisLeft` for gridlined axes, `d3.scaleOrdinal` for the categorical color mapping, and the `d3-legend` library for the color legend. The data is loaded via `d3.csv` from a GitHub gist, with the sex attribute transformed from numeric codes to strings for labeling.

Fork of Scatter Plot with Shape

This visualization is a scatter plot showing the relationship between patient age and heart rate, with data points shaped by gender. It uses D3 v7 to render symbols from the `symbolsFill` set, mapped via `scaleOrdinal`, and includes a custom legend for the shape encoding. The plot leverages `scaleLinear` for both axes and fetches healthcare data from a remote CSV. Key APIs include `d3.csvParse`, `d3.extent`, `d3.axisLeft`, `d3.axisBottom`, and the `d3.symbol` generator for drawing point shapes.

Aaniteshterala2000

Heart Disease Scatter Plot

A scatter plot maps patient age against maximum heart rate achieved, with each circle colored by sex (red for female, blue for male). The visualization uses D3 v6 to load CSV data from a GitHub Gist based on the Heart Disease UCI Kaggle dataset. SVG circles are positioned with d3.scaleLinear scales and axes are rendered via d3.axisLeft and d3.axisBottom. The plot reveals heart rate patterns across age groups and sex differences in the dataset.