A5_ScatterplotMatrix

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A5_ScatterplotMatrix

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Last edited Mar 3, 2024

Created on Mar 3, 2024

This example presents a scatterplot matrix for the Iris flower dataset, showing pairwise relationships between sepal and petal measurements, colored by species. It highlights how the visualization reveals clusters and correlations across dimensions. The code uses D3 v7 to create SVG circles, with `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and `axisLeft`/`axisBottom` for ticks. Data is loaded from a CSV via `d3.text`, and mouseover events add a yellow highlight to all circles in a cell, emphasizing points under inspection.

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A bare minimum HTML page demonstrating use of CSS and JavaScript.

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This example visualizes the Iris dataset using a scatter plot, mapping petal dimensions on the axes while encoding species identity through color-coded points. The chart also incorporates sepal measurements as redundant visual properties on each circle. The code loads CSV data via `d3.csv`, applies a custom row parser to convert numeric fields, and uses `d3.scaleLinear` with `d3.extent` to establish scales. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, while a `join('circle')` pattern binds data to SVG circles, with a switch statement assigning fixed colors per species.

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This scatter plot visualizes the Iris dataset, showing the relationship between sepal and petal measurements. Points are colored by species—setosa in dark red, versicolor in dark blue, and virginica in light green—mapping petal length and width to x and y positions. The code loads data via `d3.csv`, applies scales with `d3.scaleLinear` and `d3.extent`, and renders SVG circles with `d3.select` and `.join`. Axis labels and ticks are added using `d3.axisLeft` and `d3.axisBottom`, with the plot sized to the full window.

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This example visualizes the Iris flower dataset as a scatter plot, mapping petal length to the horizontal axis and sepal length to the vertical axis. Each flower is rendered as a circle in an SVG canvas. The code loads CSV data using `d3.csv`, parses numeric fields, and applies linear scales via `d3.scaleLinear` with domains derived from `d3.extent`. Circles are joined to the data with `selectAll().data().join()`, sized with a fixed radius of 5 pixels, and positioned using the scaled coordinates.

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This example displays a scatterplot matrix of the Iris dataset, showing pairwise relationships between sepal length, sepal width, petal length, and petal width, with points colored by species. The visualization uses D3 v5 to render SVG circles and axes, and implements linked brushing through `d3.svg.brush`. Dragging a brush over any cell highlights matching points across all other cells, while a gray overlay indicates unselected data. The code loads the data via `d3.csv` and maps each trait’s domain to linear scales.

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This example visualizes the Iris dataset as a scatterplot, mapping petal length along the x-axis and sepal length along the y-axis. Points are colored by species through CSS classes, with setosa in yellow, versicolor in red, and virginica in pink. The visualization uses D3 v7 APIs including `csv` for data loading, `scaleLinear` for scaling, `axisLeft` and `axisBottom` for axes, and SVG circles rendered by `selectAll().data().join()`. The chart fills the browser window and is built with a React-friendly plain JavaScript approach.

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This scatterplot matrix visualizes the Iris dataset, showing pairwise relationships between sepal and petal measurements, with histograms along the diagonal and color-coded points by species. The plot uses d3.brush for interactive brushing and selection across cells, while d3.histogram generates the diagonal distributions. SVG rendering with d3.scaleLinear, d3.scaleOrdinal, and axis components handles scaling and annotation. The interface allows brushing to highlight subsets across all scatterplots simultaneously, with non-selected points dimmed via a hidden class.

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This scatter plot matrix displays pairwise relationships among four numeric Iris flower measurements, with points colored by species using a D3 ordinal scale. Each cell is an SVG chart rendered via `d3.axisLeft`, `d3.axisBottom`, and `d3.scaleLinear`, with diagonal cells labeling the corresponding dimension. The code loads Iris data from a GitHub Gist CSV, parses numeric fields, and iterates through all column combinations to generate a 4×4 grid of plots using `d3.csv` and `d3.select`.

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