Parallel Coordinate Plots of Iris Dataset

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

Iris Parallel Coordinate Plots

This visualization uses parallel coordinate plots to display the classic Iris flower dataset, with each of the 150 samples represented as a polyline across four axes: sepal length, sepal width, petal length, and petal width. The three Iris species are color-coded—red for setosa, green for versicolor, and blue for virginica—making species separation patterns visible. Built with D3 v3, the code uses `d3.svg.line`, `d3.svg.axis`, and an ordinal scale for axis positioning. Users can drag any axis title to reorder dimensions, which triggers a smooth 100-millisecond transition as the lines redraw. The data is loaded from a CSV file using `d3.csv`.

TTzuTing112200

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

Parallel Coordinate Plot

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.

Wwilliamkuo2000

Hhuangweijie0310102@gmail.com

Parallel Coordinate Plots

This parallel coordinate plot visualizes the Iris flower dataset, displaying four morphological attributes (sepal length, sepal width, petal length, and petal width) for three species of iris. Each sample is represented as a polyline connecting its attribute values across parallel axes, with lines colored by species (setosa, versicolor, and virginica) using a D3 ordinal color scale. The visualization uses D3 v7 with an SVG rendering approach, employing native `d3.axisLeft` and `d3.line` APIs for constructing the axes and polylines. An interactive dropdown menu allows users to reorder the four axes, triggering a redraw of both the vertical axes and the connecting lines via a custom `redrawParallelCoordinates` function. The data is loaded from an external CSV file using `d3.csv`.

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

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

Iris Parallel Coordinate Plot

This visualization uses a parallel coordinate plot to display the classic Iris dataset, with each flower’s sepal and petal measurements drawn as a polyline across four vertical axes. Lines are color-coded by species—setosa in green, versicolor in purple, and virginica in red—at 40% opacity to reveal clustering patterns. Built with D3 v5, the code uses `d3.scalePoint` for axis positioning, `d3.scaleLinear` for per-dimension value scaling, and SVG paths generated by a custom `path` function. Species colors are assigned through a conditional `class_color` function rather than a categorical scale.

Cchungmin-yu