HW2

hw2

This interactive parallel coordinate plot visualizes the Iris dataset, displaying four measured features for three flower species. Users can drag any vertical axis horizontally to reorder the dimensions, and the polyline paths connecting each flower’s measurements update in real time. The visualization uses d3.scalePoint for axis positioning, d3.drag for interactivity, and d3.line for path generation, with data loaded from a remote CSV. Axes are labeled, and a color-coded legend distinguishes the three Iris species.

Yyujun12689

hw2_1

This interactive parallel coordinates plot visualizes the Iris dataset, with each flower’s measurements (sepal and petal length/width) drawn as colored polylines across four vertical axes. Users can drag and drop axis labels in a fixed sidebar to reorder the dimensions, triggering a full redraw via `d3.scalePoint` and `d3.line`. Hovering highlights a species by fading other lines, using D3 transitions and ordinal color scales. Data loads from a remote CSV, and rendering uses SVG with D3 v6 axis generators.

Wwilliamkuo2000

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

0616027_hw2

This interactive parallel coordinates plot visualizes the Iris dataset, with each polyline representing a flower sample and colored by species (setosa, versicolor, virginica). The chart shows four dimensions—sepal length, sepal width, petal length, and petal width—on vertical axes. Users can drag axes to reorder dimensions and brush along any axis to filter which lines remain visible. Built with D3 v3 in a React framework, it uses `d3.svg.axis`, `d3.svg.line`, `d3.behavior.drag`, and `d3.svg.brush` to enable these interactions, rendering polylines as SVG paths with animated transitions during axis dragging.

Yyixinxu2020

HW2 v2

This interactive parallel coordinate plot visualizes the Iris dataset, with each polyline representing a flower and color-coded by species. Users can drag the four axes (sepal length, sepal width, petal length, petal width) horizontally to reorder dimensions, with smooth transitions animating the paths and axes into their new positions. The visualization is built using React and D3 v5, leveraging `scalePoint`, `scaleLinear`, `axisLeft`, and `line` for rendering, while `drag` and `event` handle the interaction. A legend and side panel identify the three species, and the SVG output includes hover cursors and opacity styling for the polylines.

Nnathanowen06

DV_HW2

This interactive parallel coordinate plot visualizes the Iris dataset, with each of the 150 flowers represented as a polyline spanning four axes: sepal length, sepal width, petal length, and petal width. Lines are colored by class (setosa, versicolor, virginica) and rendered as semi-transparent SVG paths with a 0.35 opacity. Users can drag any axis horizontally to reorder the dimensions, using d3.drag and d3.line to update paths and axis positions dynamically. A legend identifies the three classes, and axis labels are added via d3.axisLeft.

SSandyWu7179290504

HW2_example

This interactive parallel coordinate plot visualizes the Iris dataset, displaying 150 samples across four dimensions: sepal length, sepal width, petal length, and petal width. Each polyline represents a single flower, color-coded by species (setosa, versicolor, virginica) using a fixed color map. Users can drag the vertical axes to reorder dimensions, dynamically updating the line paths and axis positions with smooth transitions. Built with D3 v5 and React, the visualization uses `select`, `scalePoint`, `scaleLinear`, `line`, and `drag` APIs to render SVG paths and support the reordering interaction.

SSandyWu7179290504

HW2 Iris Parallel Coordinate Plot

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.

JJoshuoYang