Skip to main content
SimilarExport ZIP
100%

HW2 v2

✓ Published0🌍 Public
Nnathanowen06
Last edited Oct 2, 2023
Created on Oct 2, 2023

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.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

hw2 v5

This interactive parallel coordinate plot visualizes the Iris dataset, displaying 150 flowers across four numeric attributes (sepal length, sepal width, petal length, petal width) with each of the three Iris species color-coded. Users can drag the vertical axes horizontally to reorder dimensions, with polylines smoothly transitioning to maintain their data positions. A legend on the right uses colored rectangles to identify species. The visualization uses D3 v5 APIs including `scalePoint`, `scaleLinear`, `axisLeft`, and the `drag` behavior, rendering with SVG and animated transitions via `transition.attr`.

Nnathanowen06
94% match
Loading thumbnail…

hw2

This interactive parallel coordinates plot uses the classic Iris dataset, displaying each flower as a polyline across four quantitative dimensions (sepal length/width and petal length/width with a fixed 0–8 scale). Each species is color-coded via a D3 ordinal scale. Users can drag axis labels to reorder dimensions, and brush any axis to filter foreground lines. Built with D3 v3, it uses SVG paths for rendering, with animation for smooth transitions during axis reordering.

Aaddword527
94% 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…

HW2-2

This interactive parallel coordinate plot visualizes the iris dataset from `iris.csv`, with each line representing a flower specimen and colored by its species. Users can reorder axes by dragging them, and hovering over any line highlights its entire species group while dimming others. The visualization is built with D3 v4, using SVG paths for the polylines, `d3.scaleLinear` for axis scaling, and the `d3.drag` module for interactive axis reordering. The view includes static axes for sepal length, sepal width, petal length, and petal width.

Aanna960073@gmail.com
93% match
Loading thumbnail…

HW2_old

This example shows an interactive parallel coordinate plot of the Iris dataset, where users can reorder the four displayed axes (sepal length/width, petal length/width) via dropdown menus. Each of the 150 flowers is drawn as a semi-transparent polylined path, colored by species (setosa, versicolor, virginica). The visualization uses React and D3 v5, employing `scalePoint` for axis positioning, `scaleLinear` for value mapping, and `axisLeft` to render tick marks. A static legend distinguishes the three species, while SVG rendering handles all drawing.

Rravencyan
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

HW2

This interactive parallel coordinates plot visualizes the Iris dataset, displaying four flower measurements (petal and sepal length/width) across three species. Built with React and D3.v4, it renders SVG paths with animated transitions that highlight a selected species while dimming others on hover. Color-coded legends map species to distinct hues, and the chart’s axes are adjustable via radio buttons, allowing users to reassign features to each dimension. The visualization uses `d3.scaleLinear` and `d3.scalePoint` for coordinate mapping and `d3.line()` to construct the polylines.

YYI-CHENG-SHIH645
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
93% match