Skip to main content
SimilarExport ZIP
100%

Parallel Coordinate Plot

✓ Published0🌍 Public
Wwilliamkuo2000
Last edited Oct 16, 2022
Created on Oct 16, 2022

This parallel coordinate plot visualizes the Iris dataset, showing four measurements (sepal length, sepal width, petal length, petal width) as parallel axes connected by colored lines for each flower sample. The lines are colored by species—setosa, versicolor, and virginica—with a legend and title. Built with D3 v5, it uses `d3.scalePoint`, `d3.scaleLinear`, and `d3.axisLeft` to construct the axes and renders the polylines as SVG paths with adjustable opacity and stroke width.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Parallel Coordinate Plot

This parallel coordinate plot visualizes the Iris dataset, displaying four continuous measurements—sepal length, sepal width, petal length, and petal width—as vertical axes, with each flower represented by a semi-transparent polyline. The lines are colored by the three Iris species using a custom color scale, with a legend on the right identifying each class. Built with D3 v5, it uses `scalePoint` for the categorical axes, `scaleLinear` for the numeric range, and `line()` to generate the SVG paths. Each axis is drawn with `axisLeft`, and the data is loaded from a CSV file.

方方顗棠
97% match
Loading thumbnail…

Parallel Coordinate Plot

This parallel coordinate plot visualizes the Iris dataset, showing how measurements of sepal and petal length and width vary across three flower species. Each polyline represents a single iris, colored by its class, with axes for each attribute arranged horizontally. The visualization uses D3.js v5, employing `d3.scalePoint`, `d3.scaleLinear`, and `d3.axisLeft` to construct axes and SVG paths for the data lines. The dataset is loaded via `d3.csv`, and a legend maps class names to specific color values.

JJasonYeong0821
96% match
Loading thumbnail…

Parallel Coordinate Plot

This parallel coordinate plot displays the classic Iris flower dataset, visualizing 150 samples across four measurements (sepal and petal length and width). Each flower species (setosa, versicolor, virginica) is drawn as a colored polyline using D3’s `line()` generator, with colors mapped via `scaleOrdinal`. The axes are interactive: dragging any vertical axis reorders the dimensions, and the lines and axes animate smoothly using a custom `transition` that applies a five-millisecond duration. The visualization is rendered as SVG, with axis labels and a legend for the three species.

Ddaniel
95% match
Loading thumbnail…

Parallel Plot

This parallel plot visualizes the Iris dataset, showing relationships between four flower measurements (sepal length, sepal width, petal length, petal width) using semi-transparent colored polylines to distinguish the three Iris species. Each vertical axis represents a measurement dimension scaled independently with `scaleLinear`, while `scalePoint` positions the axes horizontally. The visualization uses d3's `line` function to generate SVG paths for each data point. Users can drag draggable attribute labels below the plot to reorder the axes, dynamically reorganizing the visualization through mouse event handlers and DOM manipulation.

Vvntchang@gmail.com
95% match
Loading thumbnail…

Parallel coordinates(311551085)

This interactive parallel coordinates plot visualizes the Iris dataset, showing four measured attributes (sepal and petal length and width) as parallel axes. Each flower appears as a polyline connecting its attribute values, colored by species (setosa, versicolor, virginica) using a d3.scaleOrdinal color scale. The visualization uses d3.scalePoint for axis positioning, d3.scaleLinear for each axis’s y-scale, and d3.line to generate polylines. Users can drag axis labels to reorder dimensions, with d3.drag handling reordering and smooth d3 transitions animating axis repositioning and path updates.

JJingya
94% match
Loading thumbnail…

Parallel coordinate plot

This parallel coordinate plot visualizes the Iris dataset, showing measurements of sepal and petal length and width for three flower species. Colored polylines represent individual samples, with red, green, and blue distinguishing Iris-setosa, versicolor, and virginica. Users can click and drag axis titles to reorder dimensions, and hovering a line highlights all samples of that species while dimming others. The visualization uses D3 v5 with SVG rendering and transitions, constructing axes with `d3.axisLeft` and enabling drag behavior via `d3.drag`.

方方顗棠
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…

Iris Parallel Coordinate Plots

This interactive parallel coordinate plot visualizes the Iris flower dataset, displaying four measurements (sepal length, sepal width, petal length, petal width) as vertical axes with polylines colored by species. Users can drag any axis to reorder the dimensions, which immediately redraws the paths and scales. Built with D3 v4 (d3.scaleLinear, d3.scalePoint, d3.axisLeft, d3.drag), the SVG rendering uses data from iris.csv, with distinct colors for Iris-setosa, Iris-versicolor, and Iris-virginica.

Wwusushi
94% match