Skip to main content
SimilarExport ZIP
100%

Parallel Coordinates on Iris data set

✓ Published0🌍 Public
Ppychen01
Last edited Oct 18, 2020
Created on Oct 18, 2020
Forked from Hello VizHub

This example visualizes the Iris flower data set with parallel coordinates, encoding each specimen as a polyline across four quantitative dimensions. The lines are colored by species via `d3.scale.ordinal`, and users can drag any axis to reorder dimensions, with animated transitions using `d3.behavior.drag`. It renders in SVG with axes from `d3.svg.axis` and includes a legend of flower classes. Data loads from a remote CSV, and axis labels are rendered with text elements.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Parallel Coordinates on Iris data set

This example visualizes the Iris data set using parallel coordinates, with each flower variety rendered in a distinct color to show its attribute patterns. The view allows users to drag axis labels to reorder dimensions and rearrange the corresponding polylines. The implementation uses D3 v3 with SVG rendering, building ordinal and linear scales for axes and color, and applying `d3.behavior.drag` for interaction. Background lines provide context, while an animated transition repositions axes and paths after dragging.

Yyixinxu2020
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
93% match
Loading thumbnail…

parallel coordinates_Iris data set

This example visualizes the classic Iris flower dataset using parallel coordinates, with each polyline representing a flower sample colored by species (setosa, versicolor, virginica). Users can drag the vertical axis labels to reorder dimensions and explore relationships interactively. Built with D3 v3, it uses `d3.svg.axis`, `d3.behavior.drag`, and ordinal/linear scales to map data to SVG paths. A background layer shows all lines in gray, while the foreground layer highlights species via color. Dimension values are scaled linearly between 0 and 9 on each axis, and transitions animate reordering.

RRoey-Wu
93% match
Loading thumbnail…

Parallel Coordinates on Iris data set

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.

Cchungmin-yu
93% 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
91% match
Loading thumbnail…

Iris Parallel Coordinate Plots ref 4

This parallel coordinate plot visualizes the Iris flower dataset, with each line representing a sample and colored by species using a d3.scaleOrdinal. The code uses d3.scaleLinear and d3.scalePoint to position axes for sepal and petal measurements. Users can drag any axis to reorder the dimensions, triggering an event handler that removes and redraws the paths. The SVG rendering relies on d3.axisLeft for axis ticks and labels, with data loaded from the iris.csv file using d3.csv.

Eexchoco
91% 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
91% 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
91% match