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Activity6_Task3

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Vvamsikrishnakanchukommala@my.unt.edu
Last edited Apr 11, 2024
Created on Apr 11, 2024

This interactive scatter plot visualizes the Iris dataset, displaying petal length against petal width with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization loads CSV data from a GitHub gist using d3.csv, then renders circles using d3.scaleLinear axes and d3.axisLeft/axisBottom. Each circle's radius is fixed, though the code also stores sepal measurements as rx/ry attributes, and the SVG output is generated with D3 v6, filling the browser window.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Activity6_Task3

This interactive scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Points are colored by species (setosa, versicolor, virginica) using the D3 v6 library with SVG rendering. The visualization loads CSV data from a GitHub repository using `d3.csv` and scales values with `scaleLinear`. Axes are generated using `axisLeft` and `axisBottom`, while the data values for sepal dimensions are encoded as custom attributes on the circles but are not visually represented on the plot.

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This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses D3 v6 with `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axis labels for petal length and sepal length are added with lower-case text, using a green font.

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This scatter plot visualizes the Iris dataset, mapping petal length and petal width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It loads CSV data from a GitHub URL and renders circles with D3 v6, using `d3.csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to construct axes. The SVG-based visualization labels both axes and includes a fixed point radius, with species-specific colors applied via a switch statement.

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This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. It also encodes sepal length and width as additional properties per circle. Built with D3 v6, the code uses `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG circle elements. Data is loaded from a remote GitHub CSV, with axes and labels rendered into a full-window SVG.

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This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Points are colored by species using a switch statement mapping setosa to darkgreen, versicolor to yellow, and virginica to red. The visualization loads CSV data from a GitHub repository using d3.csv, then creates SVG circles positioned with d3.scaleLinear scales. Axes are generated with d3.axisLeft and d3.axisBottom, while width and height adapt to the browser window. The code also reads sepal dimensions but does not use them in the current rendering.

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