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Activity6_Task3

✓ Published1🌍 Public
AAnilreddyveeraiahgari@my.unt.edu
Last edited Apr 4, 2025
Created on Apr 4, 2025
Forked from Hello VizHub

This visualization displays a scatter plot of the Iris dataset, showing petal length against petal width with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The code uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and render the data as SVG circles. Axis labels are added for petal length and sepal width, though the actual plotted values use petal measurements. The chart fills the browser window and pulls data from a GitHub-hosted CSV file.

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MIT Licensed

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Activity6_Task3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6 with SVG rendering, employing `d3.csv` to load data from a GitHub repository, `scaleLinear` and `extent` to map the scales, and `axisLeft`/`axisBottom` for the axes. Circles are positioned using the `cx` and `cy` attributes, with labels for petal length and sepal length, though the y-axis label is mismatched with its data.

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This visualization displays the Iris dataset using a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, or orange. The code loads CSV data from a GitHub repository via `d3.csv`, scales axes with `d3.scaleLinear`, and renders SVG circles with `d3.selectAll` and `data.join`. Axis labels are added using text elements, while `d3.axisLeft` and `d3.axisBottom` generate the tick marks.

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This scatterplot displays the Iris dataset’s petal length against petal width for all samples, with each point’s fill color indicating its species (setosa, versicolor, or virginica). The visualization also captures sepal dimensions as supplemental attributes on the circles, though they do not affect the positions. Using D3 v6, the code loads CSV data via `d3.csv`, applies `d3.scaleLinear` for both axes, renders SVG circles through a data join, and adds axes with `d3.axisLeft` and `d3.axisBottom`. Axis labels are drawn as rotated text, and the chart resizes to the window dimensions.

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This visualization displays the Iris dataset as a scatter plot, using 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 code loads CSV data via `d3.csv`, maps values using `scaleLinear`, and renders the plot as an SVG with circles and axes. It also incorporates sepal length and width as custom `rx` and `ry` attributes on the circles. The chart uses D3 v6 with `axisLeft`, `axisBottom`, and `selectAll().data().join()` for data binding, sized to the full window.

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Activity6_Task3

This visualization displays a scatter plot of the Iris dataset, mapping 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, and orange for virginica). The code loads CSV data using `d3.csv`, scales the axes with `scaleLinear` and `extent`, and renders circles as SVG elements via `selectAll` and `join`. It includes custom axis labels using `axisLeft` and `axisBottom`, plus a legend built with appended SVG `rect` and `text` elements. The plot uses D3 v6.

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Activity6_Task3

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 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.

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This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). The visualization uses d3.v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `csv` loads the remote GitHub-hosted data. Circles are appended via data joins, with `cx` and `cy` positions scaled from the parsed numerical values, and fill colors assigned per species. The SVG renders full-window, with axis labels noting petal length and sepal length metrics despite the plot’s primary dimensions.

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