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Fork of Activity 7 Scatter Plot

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Ppardha1411
Last edited Jul 3, 2023
Created on Jul 3, 2023

This scatter plot visualizes the Iris dataset, displaying petal length and width for individual flowers. Each point is colored by species, with skyblue for setosa, lightgreen for versicolor, and orange for virginica. The code loads CSV data via `d3.csv` and scales axes with `d3.scaleLinear`, using features such as `d3.extent` for domain calculation. It generates SVG circles and appends axes using `d3.axisLeft` and `d3.axisBottom`, along with custom text labels for axis annotations.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Fork of Activity 7 Scatter Plot

A scatter plot visualizes the Iris dataset, showing petal length against petal width for each flower, with points colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The code, built with D3 v6, loads data via `d3.csv` from a GitHub gist, scales with `scaleLinear`, and renders SVG circles with `axisLeft` and `axisBottom`. It also stores sepal measurements in each point’s attributes but does not display them.

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This scatter plot displays the Iris dataset, mapping petal length and petal width for individual flowers while coloring each point by species (setosa, versicolor, or virginica). The visualization uses D3 v6, fetching data via the `csv` function from a remote URL, then constructs the plot using `scaleLinear`, `axisLeft`, and `axisBottom`. Circles are rendered with SVG elements, and the code also references sepal dimensions through `rx` and `ry` attributes, although these do not affect the visual output.

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This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes while encoding species with color-coded circles. Each point’s radius is fixed, but the SVG circle’s `rx` and `ry` attributes are redundantly set to sepal dimensions, though visually overridden by the uniform `r` value. The visualization uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render axes with `d3.axisLeft` and `d3.axisBottom`. Axis labels are manually positioned, and the chart fills the browser viewport with margins.

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This scatter plot visualizes the Iris dataset, mapping petal length and width for three species of iris flowers, with points colored by species: skyblue for setosa, lightgreen for versicolor, and orange for virginica. The code loads CSV data via d3.csv, uses d3.scaleLinear with d3.extent to establish scales, and renders the plot as an SVG. Axes are drawn with d3.axisLeft and d3.axisBottom, while circle elements are bound to the data and positioned using scaled values, with labeled axes for petal and sepal measurements.

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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, with points colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The example loads CSV data via d3.csv, uses d3.scaleLinear for axis scaling, and d3.axisLeft/axisBottom for tick marks. Circles are rendered in SVG with d3.join, and each point’s radius is fixed, while sepal dimensions are encoded as rx and ry attributes, though these don’t affect the circular shape. Axis labels are added as SVG text elements, and the chart resizes to the browser window.

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