Skip to main content
SimilarExport ZIP
100%

Iris Parallel Coordinate Plots

✓ Published0🌍 Public
Wwinniepooh520
Last edited Oct 21, 2020
Created on Oct 21, 2020

This visualization displays Fisher’s Iris dataset as parallel coordinate plots, with each axis representing a floral measurement and each polyline colored by iris species (setosa, versicolor, virginica) via a categorical scale. Users can drag axis labels to reorder dimensions, which interactively repositions the paths. The D3 v3 code uses `d3.svg.line` and `d3.svg.axis` for rendering, with SVG paths for foreground and background strokes, plus `d3.behavior.drag` to enable axis reordering and smooth transition animations.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Iris Parallel Coordinate Plots

This interactive parallel coordinate plot visualizes the Fisher Iris dataset, with each polyline representing a flower and its path colored by species (orange for setosa, blue for versicolor, green for virginica). Axes correspond to the four measured features—sepal length, sepal width, petal length, and petal width—scaled linearly from 0 to 9. Users can drag dimension labels to reorder axes, which triggers animated transitions of the foreground lines and background reference paths. The visualization is built with D3 v3, using `d3.scale.ordinal` for axis positioning, `d3.scale.linear` for value mapping, and SVG paths for rendering, with a custom legend and title added via the DOM.

LLockingChiao
96% match
Loading thumbnail…

Iris Parallel Coordinate Plots

This visualization uses parallel coordinate plots to display the classic Iris flower dataset, with each of the 150 samples represented as a polyline across four axes: sepal length, sepal width, petal length, and petal width. The three Iris species are color-coded—red for setosa, green for versicolor, and blue for virginica—making species separation patterns visible. Built with D3 v3, the code uses `d3.svg.line`, `d3.svg.axis`, and an ordinal scale for axis positioning. Users can drag any axis title to reorder dimensions, which triggers a smooth 100-millisecond transition as the lines redraw. The data is loaded from a CSV file using `d3.csv`.

TTzuTing112200
94% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Parallel Coordinates on Iris data set

This parallel coordinates visualization displays the Fisher Iris dataset, with each flower's four measurements drawn as connected polylines and colored by species. D3.js v3 renders the axes and lines as SVG paths, allowing users to reorder dimensions by dragging axis labels. A legend identifies the three Iris varieties, and brushing interactions are supported through the d3.behavior.drag API.

Wwinniepooh520
94% match
Loading thumbnail…

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
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

Iris Parallel Coordinate Plots

The Iris Parallel Coordinate Plots visualize the classic Iris dataset, with each flower sample drawn as a polyline across four measured attributes. Species are distinguished by color: orange for setosa, blue for versicolor, and green for virginica. The visualization uses D3.js v3 with SVG rendering, featuring interactive axis dragging to reorder dimensions. The code leverages D3's ordinal scale for categorical colors, linear scales for numerical axes, and the `d3.behavior.drag` API to enable axis repositioning. Background polylines appear in light gray for context, while foreground lines are colored by class.

Aaddword527
93% match
Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the classic Iris dataset, showing four floral measurements for three species. Each semi-transparent polyline represents one sample, colored by species (orange for setosa, teal for versicolor, purple for virginica), with draggable axes that reorder via `d3.drag` and animated transitions. A dropdown toggles the y-axis scale between a fixed union range (0–8) and per-axis extents computed with `d3.extent`. The SVG renders axes via `d3.axisLeft` and lines via `d3.line`, with species colors mapped through a custom function.

Nnomiaro
93% match