Skip to main content
SimilarExport ZIP
100%

Parallel Coordinates on Iris data set

✓ Published0🌍 Public
Cchungmin-yu
Last edited Oct 15, 2020
Created on Oct 15, 2020

This parallel coordinates visualization displays the classic Iris dataset, with each flower sample represented as a polyline crossing four numeric dimensions: sepal length, sepal width, petal length, and petal width. The lines are color-coded by species (setosa, versicolor, virginica), with a legend showing the mapping. Built with d3.v3, it uses d3.svg.line and d3.svg.axis to construct the chart, and d3.behavior.drag enables interactive reordering of the axes. The data comes from a remote CSV file, rendered as SVG with animated transitions during drag operations.

AI-generated description
MIT Licensed

Similar vizzes

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
94% match
Loading thumbnail…

Parallel Coordinates on Iris data set

This interactive parallel coordinates plot visualizes the Iris flower dataset, displaying four measured attributes (sepal length/width, petal length/width) as parallel axes. Each of the 150 flower samples appears as a polyline, colored by species using a D3 ordinal scale mapping to purple, gray, and blue. Users can drag axis labels to reorder dimensions, which triggers animated transitions via D3’s drag behavior and transition methods, while the foreground and background paths update dynamically. The visualization uses D3 v3’s SVG rendering, with custom axes and brushing support for data exploration.

Ttoeric
94% 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…

Parallel Coordinates

This parallel coordinates plot visualizes the Iris dataset, with each flower’s measurements plotted as a line across four axes for sepal length, sepal width, petal length, and petal width. Lines are colored by species: orange for setosa, blue for versicolor, and green for virginica, allowing quick comparison of how these groups differ across dimensions. The interactive graphic uses D3.js v3 with SVG rendering and animation, allowing users to drag axes to reorder them, which triggers smooth transitions of the foreground and background lines via the `d3.behavior.drag` API and `d3.svg.axis` for tick marks. Data is loaded from a CSV file hosted on GitHub, and the axes use linear scales with a small padding to avoid clipping.

Aa04775
94% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Iris Parallel Coordinate Plot

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.

YYunLing
94% match
Loading thumbnail…

Parallel Coordinates

This interactive parallel coordinates plot displays the classic Iris dataset, with each colored polyline representing a flower across four numeric dimensions (sepal length, sepal width, petal length, petal width). The three Iris species are distinguished by color—orange, green, and blue—as shown in the legend. Using D3 v3, the visualization renders both background and foreground SVG paths, where the foreground lines are colored via an ordinal scale mapped to the `class` column. Users can drag axis labels to reorder dimensions, which triggers a live update of the line paths through `d3.behavior.drag` and `d3.svg.axis`.

TThe-World-Muda
94% 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
93% match