Skip to main content
SimilarExport ZIP
100%

HW2 Iris Parallel Coordinate Plot

✓ Published1🌍 Public
JJoshuoYang
Last edited Oct 14, 2022
Created on Oct 14, 2022

This visualization uses a parallel coordinate plot to display the classic Iris flower dataset, with each of the four measurements (sepal length, sepal width, petal length, petal width) mapped to a vertical axis. Colored polylines connect each sample across the axes, with three distinct colors separating the Iris species (setosa, versicolor, virginica) as indicated by the legend. The code uses d3.scalePoint and d3.scaleLinear for positioning, d3.line to generate the paths, and d3.axisLeft for the numeric scales. Data is loaded via d3.csv from a GitHub-hosted file, and the SVG render includes semi-transparent strokes to reveal overlapping patterns.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of HW2 Iris Parallel Coordinate Plot

This visualization displays the classic Iris dataset as a parallel coordinate plot, with each polyline representing one flower specimen across four measurements: sepal length, sepal width, petal length, and petal width. The three Iris species are distinguished by color, with semi-transparent strokes revealing density overlaps between classes. The implementation uses D3 v5's `scalePoint` and `scaleLinear` for axes, `d3.line` to generate paths, and `axisLeft` for tick marks. A legend with colored circles identifies each species, while the title and axis labels are rendered as SVG text elements. The data originates from a CSV file loaded via `d3.csv`.

JJoshuoYang
95% match
Loading thumbnail…

HW2 : Parallel Coordinate Plots

This visualization displays the classic Iris dataset using a parallel coordinate plot, with each of the four flower measurements (sepal length, sepal width, petal length, petal width) mapped to a vertical axis. Users can exchange the positions of any two axes via dropdown menus and a confirmation button, which triggers a redraw. The plot uses `d3.scaleLinear` for each dimension, `d3.scalePoint` for axis placement, and `d3.line()` to generate the colored polylines, with a legend identifying the three Iris species.

LLSAWB
94% match
Loading thumbnail…

HW2 Iris Parallel Coordinate Plot

This interactive parallel coordinate plot uses the classic Iris dataset to visualize four measured features (sepal length, sepal width, petal length, petal width) across three flower species. Built with D3.js v3, it renders each sample as a polyline via `d3.line`, with colors assigned by species. Users can drag any vertical axis to reorder dimensions, and the y-axis domain switches between a union range and per-axis self-scaling using d3.scaleLinear. Hovering over any line highlights all lines of the same species through opacity transitions, while a dropdown menu toggles the axis range mode.

JJuliachien
93% match
Loading thumbnail…

HW2

This interactive parallel coordinate plot visualizes the Iris dataset, with each flower represented as a polyline connecting measurement values across four axes: sepal length, sepal width, petal length, and petal width. Lines are color-coded by species, and each axis includes its own scale and label. Using d3.drag, users can reposition the axes horizontally to reorder dimensions, which dynamically reshapes the polylines in response to the new axis placements. The visualization is rendered as SVG, with d3.scalePoint, d3.scaleLinear, and d3.line used to construct the plot.

Yyujun12689
93% match
Loading thumbnail…

hw2_3

This visualization displays the Iris dataset as a parallel coordinate plot, with four axes representing sepal length, sepal width, petal length, and petal width. Each of the 150 flowers appears as a colored polyline linking its measurements across the axes, with species distinguished by red, yellow, and green strokes, alongside a legend. The code uses d3.scalePoint for categorical axis placement, d3.scaleLinear for the numeric range, and d3.line to generate the paths. Axes are rendered using d3.axisLeft and positioned via the SVG transform attribute, with data loaded through d3.csv.

Wwilliamkuo2000
93% 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
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

HW2-2

This interactive parallel coordinate plot visualizes the Iris dataset, displaying four measurements—sepal length, sepal width, petal length, and petal width—as connected polylines for 149 samples, colored by species (red, green, blue). Users can drag any axis horizontally to reorder dimensions, which updates the line paths accordingly. Built with D3 v4, it uses `d3.scaleOrdinal` for color mapping, `d3.scalePoint` for axis positioning, `d3.axisLeft` for rendering ticks, and `d3.drag` for interactive reordering, with hover highlighting that dims non-selected lines via `transition()` styling.

Aanna960073@gmail.com
92% match