Iris Parallel Coordinate Plot

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

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

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

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

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

Iris Parallel Coordinate Plots

This interactive visualization uses parallel coordinate plots to display the classic Iris dataset, with each of the four measured attributes (sepal length, sepal width, petal length, petal width) mapped to a vertical axis. Each flower sample is drawn as a colored polyline path across the axes, using red, green, and blue strokes to distinguish the three iris species. Dropdown menus allow users to reorder the axes by swapping attribute positions. The visualization is built with D3 v5, using `d3.scalePoint` for axis positioning, `d3.scaleLinear` for value scaling, `d3.line` to generate the polylines, and `d3.axisLeft` for the y-axis ticks.

Hhenry8966

Iris Parallel Coordinate Plots

This interactive visualization displays the classic Iris dataset, showing measurements of sepal length, sepal width, petal length, and petal width as four connected axes. Each flower is represented by a colored polyline based on its species, with dropdown menus letting users change which attribute appears on each axis. The visualization uses d3.csv, d3.scaleLinear, d3.axisLeft, and d3.axisBottom for data loading, scaling, and axes. Path elements transition smoothly via d3 transition when axes change, with the dataset sourced from the bundled Iris.csv file.

Hhi4u2qzy@gmail.com

Iris Parallel Coordinate Plot

The Iris Parallel Coordinate Plot visualizes four numeric measurements—sepal length, sepal width, petal length, and petal width—for three iris species, with each polyline colored by class. Users can drag any vertical axis horizontally to reorder dimensions, which dynamically updates the paths and axis positions via d3.drag and transitions. The visualization uses d3.csv to load the Iris dataset, d3.scalePoint and d3.scaleLinear for axes, and renders with SVG paths and circles, including a legend showing the species-to-color mapping.

DDaniel0710