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Assignment2_Q1

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VVishnu Mallampalli
Last edited Jul 8, 2024
Created on Jul 8, 2024
Forked from Hello VizHub

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.

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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Assignment2

This animated scatter plot visualizes the Iris flower dataset, cycling through four measurement combinations of petal and sepal dimensions. Colored circles represent three species (setosa, versicolor, virginica) with a legend and axis labels. The visualization uses a reusable D3 scatter plot module (`scatterPlot()`) with `scaleLinear`, `axisLeft`, and `axisBottom` for axes. Data is loaded via D3's `csv` parser from a GitHub-hosted CSV file, with the view updating every few seconds through `setInterval`. SVG circles and text elements render the animated chart.

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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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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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Assignment2

This example presents an interactive scatterplot of the Iris dataset, cycling through different flower measurements on the x-axis every few seconds. The visualization colors each of the three species—setosa, versicolor, and virginica—with distinct hues and includes a legend with labeled color swatches. Users see dynamically updated axes and titles as the displayed variable changes. The code loads data from a GitHub-hosted CSV and uses D3 v5’s `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `selectAll` with `join` to render animated SVG circles.

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Assignment2

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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This interactive scatter plot animates through different pairings of Iris flower measurements, cycling the x-axis among petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Points are colored by species—setosa, versicolor, and virginica—with a legend and fixed axes. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the chart, loading data from a remote CSV. The SVG rendering includes custom text labels, a title, and a rotating axis label.

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This animated scatter plot visualizes the Iris dataset, cycling through four different flower measurements (petal width, sepal width, petal length, and sepal length) on the x-axis at regular intervals. It uses D3 v6 to load CSV data, render SVG circles colored by species, and scales axes dynamically with `scaleLinear`. The plot updates via `setInterval`, re-calling the custom `scatterPlot` module, and includes a manual color legend. The rendering is a full-window SVG with rotating axis labels and a title.

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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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