homework1-IRIS Parallel Coordinate Plot

100%

homework1-IRIS Parallel Coordinate Plot

✓ Published0🌍 Public

Last edited Nov 8, 2023

Created on Sep 28, 2023

This parallel coordinate plot visualizes the Iris dataset, showing relationships between sepal length, sepal width, petal length, and petal width across three flower species. Each line represents a single flower, colored by its species using d3.scaleOrdinal with d3.schemeCategory10. The code builds SVG paths with d3.line, scales each dimension with d3.scaleLinear, and renders axes with d3.axisLeft. A legend is appended as a separate SVG element, listing the three iris classes. The data loads from a CSV file using d3.csv.

AI-generated description

Using Parallel Coordinates by Jason Davies

MIT Licensed

Similar vizzes

Loading thumbnail…

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

92% match

Loading thumbnail…

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

91% match

Loading thumbnail…

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

90% match

Loading thumbnail…

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

90% match

Loading thumbnail…

Iris Parallel Coordinate Plot

This interactive visualization displays the classic Iris dataset as a parallel coordinate plot, with each flower sample represented as a polyline across four axes: sepal length, sepal width, petal length, and petal width. The plot shows how the three iris species—setosa, versicolor, and virginica—cluster distinctly, particularly on the petal measurements, using translucent colored strokes and a legend to distinguish them. The SVG chart is built with D3 v5, using `scalePoint` for the categorical axes, `scaleLinear` for the value range, `scaleOrdinal` for color mapping, and `line` generators to draw the paths.

YYunLing

90% match

Loading thumbnail…

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

90% match

Loading thumbnail…

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`.

Hhuangweijie0310102@gmail.com

89% match

Loading thumbnail…

Fork of Parallel Coordinate Plot

This fork of a parallel coordinate plot visualizes the classic Iris Dataset, showing the relationships between sepal length, sepal width, petal length, and petal width for three flower species. Each row is drawn as a semi-transparent polyline, with colors distinguishing Iris setosa, versicolor, and virginica. The code uses d3.csv to load data, then applies d3.scalePoint, d3.scaleLinear, d3.axisLeft, and d3.line to construct the axes and paths. A static SVG canvas renders the chart, including a title, axis labels, and a legend showing class colors.

Jjas0821

89% match