Skip to main content
SimilarExport ZIP
100%

Iris_Parallel_Coor_P

✓ Published2🌍 Public
Eexchoco
Last edited Oct 18, 2022
Created on Oct 18, 2022

This parallel coordinate plot uses D3 v6 within a React framework to visualize the classic Iris dataset. It displays four measured attributes (sepal and petal length and width) as vertical axes, with each iris flower represented as a colored line connecting its values. The lines are colored by species using `scaleOrdinal`, and hovering over a line highlights that flower while dimming all others. The visualization includes axis labels, a legend, and uses SVG paths generated via `line()` and `scalePoint` for layout.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Iris_Parallel_Coor_P

This parallel coordinate plot uses D3 v6 within a React framework to visualize the classic Iris dataset. It displays four measured attributes (sepal and petal length and width) as vertical axes, with each iris flower represented as a colored line connecting its values. The lines are colored by species using `scaleOrdinal`, and hovering over a line highlights that flower while dimming all others. The visualization includes axis labels, a legend, and uses SVG paths generated via `line()` and `scalePoint` for layout.

Eexchoco
100% match
Loading thumbnail…

Iris_Parallel_Coor_P

This interactive visualization presents the classic Iris dataset as a parallel coordinate plot, with each of the 150 flowers represented as a colored line traversing four parallel axes for sepal and petal lengths and widths. D3.js v6 constructs the chart using `scaleLinear`, `scalePoint`, and `line`, while the React dropdown library loads the dataset. The legend circles classify the three Iris species. Users can hover over any line to highlight all flowers of that class while dimming the others, revealing clustering patterns across the four dimensions.

Pplchao
95% match
Loading thumbnail…

Iris_Parallel_Coor_P

This interactive parallel coordinate plot visualizes the Iris dataset, using D3.js v4 to draw polylines across four axes representing sepal and petal measurements. Each of the three Iris species is color-coded, and hovering over any line highlights all flowers of that class while dimming the rest. The visualization uses `d3.scaleLinear` and `d3.scalePoint` for positioning, `d3.line` for the polylines, and `d3.axisLeft` for the categorical axes. Users can drag any axis horizontally to reorder the dimensions, which triggers a redraw of lines and axes, with the interaction handled by a custom drag event.

Eexchoco
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

Iris Parallel Coordinate Plot

This example shows a parallel coordinate plot of the classic Iris dataset, using the D3.js library. It displays four measurements (sepal and petal length and width) on parallel axes, with each flower's values connected by a line, colored by species. The code uses `d3.scalePoint` for axis positioning, `d3.scaleLinear` per dimension, and `d3.drag` for interactive reordering of axes. Data is loaded from `iris.csv` and rendered as SVG with partial opacity to reveal density, with transitions on axis drag.

CCH
92% match
Loading thumbnail…

Iris Parallel Coordinate Plot

A parallel coordinate plot of the classic Iris dataset displays four flower measurements (sepal length, sepal width, petal length, and petal width) as polylines, colored by species via `scaleOrdinal`. Users can drag any axis to reorder dimensions, with `d3.drag` updating the axis positions and line paths with animated transitions. Built with `d3.scalePoint`, `d3.scaleLinear`, and `d3.line` in an SVG rendered by React, the example reads data from `iris.csv` and includes a static legend for the three species.

CChenLeah
92% match
Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot displays the classic Iris dataset, with each flower’s sepal and petal measurements drawn as a polyline across four vertical axes. Lines are colored by species (setosa, versicolor, virginica) and rendered with SVG. Users can drag any axis to reorder the dimensions, with d3.drag handling the interaction and d3.transition animating the axes and paths into their new positions. The code uses d3.scalePoint, d3.scaleLinear, d3.axisLeft, and d3.line to construct the visualization.

Aannie520143
92% match