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Sshivakumarganji@my.unt.edu
Last edited Apr 5, 2024
Created on Apr 5, 2024

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual data points, with color coding by species (setosa, versicolor, virginica). The visualization uses D3.js v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and parse the CSV data from a GitHub gist, then render SVG circles. Axes are labeled for petal length and sepal length, though the data mapping uses petal dimensions for positioning. The code also references additional properties like sepal measurements, which are not directly used in the final point placement.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Fork of Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while using color to distinguish the three iris species. The D3.js v6 code loads the data from a remote CSV file, applies linear scales to position the circles, and renders the chart as an SVG. Custom axes, tick labels, and green axis labels annotate the plot, with the styling specified through inline CSS within an HTML page.

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This scatter plot visualizes the Iris dataset, showing petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) via a simple switch function. The visualization uses d3.csv to load remote CSV data, then d3.scaleLinear with extent domains to map values to screen coordinates, and d3.axisLeft and d3.axisBottom for labeled axes. Circles are rendered as SVG elements with fixed radius via d3.selectAll().join(), while sepal length and width are stored as unused data fields. The plot fills the browser viewport, with green axis titles rotated vertically for the y-axis.

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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 (skyblue, lightgreen, or orange) and sized or positioned according to sepal measurements. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axes labels are added via `svg.append('text')`, with data-driven fill colors assigned through a switch function on species.

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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 code loads CSV data from a GitHub gist and parses it with D3’s `csv` function. It uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to position circles in an SVG, while also including unused sepal measurements as attributes. The visualization highlights species clusters through distinct fill colors applied via a switch statement.

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This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample point while also encoding sepal measurements as circle radii. The SVG rendering uses d3.scaleLinear for both axes, d3.axisLeft and d3.axisBottom for tick marks, and d3.csv to load the data from a GitHub gist. Circle colors differentiate the three iris species via a switch statement, assigning skyblue, lightgreen, or orange fills. The visualization fills the entire viewport and includes rotated axis labels for clarity.

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fork of activity6_task_3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width while coloring each point by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica. The D3 v6 code loads CSV data from a GitHub URL, uses scaleLinear with extent for axes, and renders circles with SVG. Axis labels clarify petal length and sepal length, with d3.axisLeft and d3.axisBottom providing tick marks.

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This scatter plot visualizes the Iris dataset, mapping petal length against petal width for individual flowers, with each point colored by species (setosa, versicolor, or virginica). The plot uses D3 v6 APIs including `csv` for data loading, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for ticks, rendered as SVG circles. While the code also defines sepal dimensions and attempts to set `rx`/`ry` attributes on circles (which have no effect), the primary visualization clearly shows the petal measurement distribution. The data is fetched from a GitHub-hosted CSV file.

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This example visualizes the Iris dataset as a scatter plot, mapping petal length and width along the axes while coloring each point by species. The D3.js code (v6) loads CSV data, applies linear scales, and renders SVG circles with a fixed radius. It uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to build the chart, with species-specific colors assigned via a switch function. The visualization fills the browser window and includes custom axis labels.

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