Ref of Iris Parallel Coordinate Plots

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

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 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 interactive parallel coordinate plot visualizes the Iris dataset, showing how sepal and petal measurements vary across three flower species. Each line represents a single iris, with color-coded paths for setosa, versicolor, and virginica. Users can drag the four vertical axes to reorder them, causing the lines to re-render smoothly with a 300-millisecond transition on drag end. The visualization uses d3.scalePoint, d3.scaleLinear, d3.axisLeft, d3.drag, and d3.line to render the SVG paths and handle interactions.

方方顗棠

Parallel Coordinate Plot

This parallel coordinate plot visualizes the Iris dataset, showing how measurements of sepal and petal length and width vary across three flower species. Each polyline represents a single iris, colored by its class, with axes for each attribute arranged horizontally. The visualization uses D3.js v5, employing `d3.scalePoint`, `d3.scaleLinear`, and `d3.axisLeft` to construct axes and SVG paths for the data lines. The dataset is loaded via `d3.csv`, and a legend maps class names to specific color values.

JJasonYeong0821

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

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

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`.