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Assignment -2

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Jjangalaupender@my.unt.edu
Last edited Apr 12, 2024
Created on Apr 12, 2024
Forked from Assignment -2

This animated scatterplot explores the classic Iris dataset, cycling through different sepal and petal measurements on the x-axis while keeping sepal length on the y-axis. Each point is colored by species, with a fixed legend and color scheme. The visualization uses D3.js, employing `scaleLinear`, `axisLeft`, and `axisBottom` from the D3 library to construct the plot. SVG rendering and a `setInterval` loop drive the animations, swapping the x-axis variable every few seconds to reveal different relationships in the data.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

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Assignment -2

This animated scatterplot explores the classic Iris dataset, cycling through different sepal and petal measurements on the x-axis while keeping sepal length on the y-axis. Each point is colored by species, with a fixed legend and color scheme. The visualization uses D3.js, employing `scaleLinear`, `axisLeft`, and `axisBottom` from the D3 library to construct the plot. SVG rendering and a `setInterval` loop drive the animations, swapping the x-axis variable every few seconds to reveal different relationships in the data.

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Assignment 2

An interactive scatter plot displays the Iris dataset, animating through different pairings of sepal and petal measurements while coloring points by species. The code uses D3.js with `csv` for data loading, `scaleLinear` and `extent` for axes, and `axisLeft`/`axisBottom` for ticks. A `setInterval` cycles the x-axis variable among four columns, while the scatterPlot module handles updates. SVG circles, custom labels, and a color legend render the visualization.

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This interactive scatter plot visualizes the Iris dataset, displaying petal and sepal measurements with color-coded species markers. Using d3.csv and d3.scaleLinear, it creates an SVG visualization that animates through different measurement combinations on the x-axis every few seconds via setInterval. The code employs d3.axisBottom and d3.axisLeft for axes, while a custom legend labels species categories. The reusable scatterPlot function, defined with D3’s module pattern, accepts configurable accessors and margin settings, allowing dynamic updates as the selected measurement column changes.

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Assignment2_Q1

This animated scatter plot explores the Iris dataset, cycling through different x-axis attributes (petal width, sepal width, petal length, sepal length) every few seconds while keeping sepal length on the y-axis. Colored circles distinguish the three Iris species, with a legend and axis labels updating dynamically. The visualization loads data via `d3.csv` and renders SVG elements using D3 v5, building a reusable scatter plot component with `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` for animation.

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Assignment 6

This animated scatter plot visualizes the Iris dataset, cycling through different x-axis assignments (petal width, sepal width, petal length, sepal length) to explore relationships between flower measurements. Points are colored by species (setosa, versicolor, virginica) with a custom legend. The visualization uses D3's `csv` loader, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs within a reusable `scatterPlot` module, rendering SVG elements updated via `setInterval`.

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Assignment2 Tutorial

This animated scatter plot cycles through four measurements from the Iris dataset, displaying petal width, sepal width, petal length, and sepal length as axes. Using D3.js, it renders circles colored by species (setosa, versicolor, virginica) and updates the x-axis every few seconds. The visualization includes a legend, axis labels, and a title, all rendered as SVG elements within a full-window canvas.

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