Iris Parallel Coordinate Plot

Iris Parallel Coordinate Plots

This interactive visualization displays the classic Iris dataset as parallel coordinate plots, with each flower’s measurements across sepal length, sepal width, petal length, and petal width shown as connected polylines. The species (setosa, versicolor, virginica) are encoded by color, with gray background lines for context and a legend in the corner. Users can drag any axis to reorder dimensions, triggering smooth transitions that recompute the paths and update axis positions. Built with D3 v3 within a React framework, it uses SVG rendering, `d3.svg.axis`, ordinal and linear scales, and `d3.behavior.drag` for interactive manipulation.

Llubin-liu

Iris Parallel Coordinate Plot

This visualization displays the classic Iris dataset as a parallel coordinate plot, with each flower’s measurements drawn as a colored polyline across four vertical axes for sepal length, sepal width, petal length, and petal width. The three species are distinguished by color via a custom mapping. Built with React and D3 v5, it uses `d3.scalePoint` and `d3.scaleLinear` for axis positioning, `d3.line` for path generation, and `d3.drag` to let users reorder axes by dragging them. A static legend is rendered separately.

Yyujun12689

Iris Parallel Coordinate Plots

This interactive visualization displays the classic Iris dataset through parallel coordinate plots, with each flower’s sepal and petal measurements drawn as a polyline across four vertical axes. The paths are colored by species, and hovering over a line highlights all specimens of that species while dimming the rest. Users can drag any axis horizontally to reorder the dimensions, which dynamically repositions the axes and rescales the connecting lines. Built with D3 v5, it uses scales, axes, and line generators, along with drag behavior and transitions to animate the reordering and highlighting effects.

Ccindy203cc

Iris Parallel Coordinate

This visualization displays the classic Iris dataset as a parallel coordinate plot, with each flower’s four measurements (sepal length/width, petal length/width) drawn as a polyline across four vertical axes. Each line is color-coded by species using a D3 ordinal scale. The chart supports interactive dragging of any axis to reorder dimensions, with paths smoothly transitioning to the new layout via D3 transitions. All rendering is done with SVG elements, and the code leverages d3.scalePoint, d3.scaleLinear, d3.drag, and d3.axisLeft.

Mmagua

Iris Parallel Coordinate Plot

The Iris Parallel Coordinate Plot visualizes the classic Iris dataset across four numeric dimensions—sepal length, sepal width, petal length, and petal width—with each flower colored by species. Users can drag any vertical axis horizontally to reorder the dimensions, which dynamically redraws the polylines and axis positions with a 350ms transition. Built with D3 v5, it uses `d3.line` for path generation, `d3.scalePoint` for ordinal axis placement, `d3.drag` for interaction, and an SVG renderer with a legend showing the three Iris species.

Aalan489671

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the classic Iris dataset, with each of the 150 flowers drawn as a semi-transparent polyline across four axes representing sepal length, sepal width, petal length, and petal width. The lines are colored by species, and users can drag the vertical axes to reorder them, animating the paths via D3 transitions. A dropdown menu toggles the y-axis scale between a fixed union range and per-axis self-scaling, recomputing the scales from the data. The visualization uses D3 v5 with SVG rendering and implements drag behavior through `d3.drag`.

Llubin-liu

Iris Parallel Coordinate Plot

This visualization displays the classic Iris dataset as an interactive parallel coordinate plot, using semi-transparent polylines to compare sepal length, sepal width, petal length, and petal width across three species, each assigned a distinct color. Users can drag any vertical axis horizontally to reorder the dimensions, which updates the line paths and axis positions with smooth transitions. Built with D3 v5 in a React framework, the code leverages `scalePoint`, `scaleLinear`, `scaleOrdinal`, `line()`, and the `drag` behavior, rendering to SVG with a legend and animated reordering via `transition`.

CCola731

Iris Parallel Coordinate Plot

This visualization displays the classic Iris dataset as an interactive parallel coordinate plot, with each flower’s four measurements (sepal and petal length and width) connected as a colored polyline. Lines are colored by species using a scaleOrdinal mapping, and a side legend identifies the three classes. Using d3.csv to load data and d3.line to generate paths, users can drag any of the four axes horizontally to reorder dimensions, with d3.drag updating axis positions and sorting the column domain, followed by smooth transitions that animate the paths into their new arrangement.

Jjasonlovechu