109550199 Iris Parallel Coordinate

100%

109550199 Iris Parallel Coordinate

✓ Published1🌍 Public

Last edited Oct 2, 2023

Created on Oct 1, 2023

Forked from Iris Parallel Coordinate Plot

This visualization displays the classic Iris dataset as an interactive parallel coordinate plot, with each of the 150 flowers represented by a semi-transparent line connecting four morphological measurements. The three species (setosa, versicolor, and virginica) are distinguished by a categorical color scale. Built with D3 v5, the axes are draggable, allowing users to reorder dimensions and explore cluster separations. The implementation uses `d3.scaleLinear`, `d3.scalePoint`, and `d3.drag` to handle axis repositioning and update the `svg` paths accordingly.

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…

Iris Parallel Coordinate Plot

This parallel coordinate plot visualizes the classic Iris dataset, displaying 150 flowers across four morphometric traits. Each colored line represents an individual sample, with distinct hues for the three species: setosa (orange), versicolor (teal), and virginica (purple). The visualization uses D3.js v5 with an SVG renderer, employing `d3.scalePoint` for axis positioning and `d3.scaleLinear` for trait values. Users can drag axis labels to reorder dimensions, triggering a smooth transition animation via D3’s `.transition().duration(300)`. A dropdown selector toggles the y-axis range between a global union (`[0,8]`) and per-dimension self-scaling computed from the data extent.

Mmasangar

94% match

Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the classic Iris dataset, showing four floral measurements for three species. Each semi-transparent polyline represents one sample, colored by species (orange for setosa, teal for versicolor, purple for virginica), with draggable axes that reorder via `d3.drag` and animated transitions. A dropdown toggles the y-axis scale between a fixed union range (0–8) and per-axis extents computed with `d3.extent`. The SVG renders axes via `d3.axisLeft` and lines via `d3.line`, with species colors mapped through a custom function.

Nnomiaro

93% 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

93% 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

93% match

Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the classic Iris dataset, displaying measurements of sepal length, sepal width, petal length, and petal width for 150 flowers. Each line represents an individual flower, colored by species (red for setosa, blue for versicolor, green for virginica), enabling comparison of measurement patterns across the three classes. Built with D3 v5, the visualization uses `scaleLinear` for axes, renders data as SVG paths, and supports interactive reordering. Users can drag any vertical axis to a new horizontal position, with lines and the remaining axes smoothly animating via `transition()` to reflect the updated order—an exploratory technique for identifying correlations between different measurement dimensions.

Hharker2011

93% match

Loading thumbnail…

Parallel Coordinate

This interactive parallel coordinate plot visualizes the Iris dataset, showing each flower’s measurements across four selectable axes, with lines colored by species (setosa, versicolor, virginica). Users change variables via dropdown menus, triggering a d3 transition that animates the polylines to new positions. The visualization uses D3 v7 with d3.scaleLinear, axis generators (axisLeft, axisBottom), d3.csv for data loading, and SVG rendering.

ZZeroKurosakii

93% 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

93% match