Iris Parallel Coordinate Plot

100%

Iris Parallel Coordinate Plot

✓ Published2🌍 Public

Last edited Sep 22, 2023

Created on Sep 22, 2023

This interactive visualization displays the classic Iris dataset as a parallel coordinate plot, with each flower sample represented as a polyline across four axes: sepal length, sepal width, petal length, and petal width. The plot shows how the three iris species—setosa, versicolor, and virginica—cluster distinctly, particularly on the petal measurements, using translucent colored strokes and a legend to distinguish them. The SVG chart is built with D3 v5, using `scalePoint` for the categorical axes, `scaleLinear` for the value range, `scaleOrdinal` for color mapping, and `line` generators to draw the paths.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Iris Parallel Coordinate Plot

This visualization uses a parallel coordinate plot to display the classic Iris dataset, with each flower’s sepal and petal measurements drawn as a polyline across four vertical axes. Lines are color-coded by species—setosa in green, versicolor in purple, and virginica in red—at 40% opacity to reveal clustering patterns. Built with D3 v5, the code uses `d3.scalePoint` for axis positioning, `d3.scaleLinear` for per-dimension value scaling, and SVG paths generated by a custom `path` function. Species colors are assigned through a conditional `class_color` function rather than a categorical scale.

Cchungmin-yu

96% match

Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the classic Iris dataset, showing how sepal length, sepal width, petal length, and petal width vary across the three Iris species. Each semi-transparent polyline represents a single flower, with its color encoding species membership, making it easy to compare distributions and correlations between the four numeric dimensions. The visualization uses d3.scaleLinear for each axis and d3.line to construct the paths. Users can drag the axis labels left or right to reorder the dimensions, a feature implemented with d3.drag, which triggers smooth animated transitions via the `.transition()` method. The SVG is rendered with a clean, white background and a legend.

Gginnyching

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

95% 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

95% match

Loading thumbnail…

Iris parallel coordinate plot

A parallel coordinate plot visualizes the classic Iris dataset, displaying four numerical traits—sepal length, sepal width, petal length, and petal width—as connected polylines. Each line represents one flower, colored by species (setosa, versicolor, virginica) using distinct hues. Built with d3.v5 and SVG, the chart uses `d3.scalePoint` and `d3.scaleLinear` for axes and `d3.line` for paths. Users can drag any vertical axis horizontally via `d3.drag` to reorder dimensions, with smooth transitions applied to paths and axes during reordering.

AAmanda-Tai

95% match

Loading thumbnail…

Iris Parallel Coordinate Plots

This interactive visualization uses parallel coordinate plots to display the classic Iris dataset, with each of the four measured attributes (sepal length, sepal width, petal length, petal width) mapped to a vertical axis. Each flower sample is drawn as a colored polyline path across the axes, using red, green, and blue strokes to distinguish the three iris species. Dropdown menus allow users to reorder the axes by swapping attribute positions. The visualization is built with D3 v5, using `d3.scalePoint` for axis positioning, `d3.scaleLinear` for value scaling, `d3.line` to generate the polylines, and `d3.axisLeft` for the y-axis ticks.

Hhenry8966

95% match

Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the classic Iris dataset, showing four measured features (sepal and petal length/width) across three flower species. Each polyline represents one flower, with colors mapped to species via d3.scaleOrdinal and schemeCategory10. Users can drag the vertical axes to reorder dimensions, triggering smooth transitions with d3.transition(). The visualization uses d3.scalePoint for categorical axis positioning, d3.scaleLinear for value mapping, and axisLeft/axisBottom to render tick marks with SVG.

WWei-Che Chang

95% match

Loading thumbnail…

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

95% match