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Fork of Iris Dataset Scatter Plot

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GGARIDIDEEKSHITHREDDY
Last edited Mar 8, 2022
Created on Mar 8, 2022

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, or virginica). The SVG rendering uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Though the circles include `rx` and `ry` attributes, the visual output remains circular with a fixed radius. Data loads from a GitHub-hosted CSV, and the chart fills the browser window with no explicit legend, relying on orange, purple, and green markers to distinguish species.

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A vanilla HTML implementation of a D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width to the x- and y-axes while coloring each point by species (setosa, versicolor, virginica). Circles are rendered using D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs, with the sepal measurements stored as unused `rx` and `ry` attributes. The SVG fills the window, and data is loaded asynchronously via `d3.csv` from a GitHub gist. The view includes 24-pixel tick labels and no interactivity.

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Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width while color-coding each point by species—setosa in blue, versicolor in red, and virginica in black. The SVG scatter plot is rendered using D3 v6, with axes created via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a GitHub Gist using `d3.csv`, then transformed with `scaleLinear` and `extent` to map values to screen coordinates. Though the code sets `rx` and `ry` attributes, circles remain round with a fixed radius of five pixels.

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This scatter plot visualizes the Iris Dataset, mapping petal length and width along the axes while coloring each point by species (setosa, versicolor, or virginica). The visualization is built with D3 v6, using `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and SVG circles for marks. Data loads from a CSV via `d3.csv`, with numeric parsing for measurement columns. The code assigns colors through a switch statement and uses fixed radius points, with margins configured for the full browser viewport.

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This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the axes and coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 to load CSV data, parse numeric fields, and render an SVG with circles. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` set the scales. Although the circles carry extra sepal length and width attributes, only the petal dimensions are visible in the plot.

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This scatter plot visualizes the Iris Dataset, mapping petal length and width for each specimen on the x- and y-axes, while coloring each point by species (setosa, versicolor, and virginica). The chart uses the D3 v6 `csv` loader to fetch the dataset, `scaleLinear` for axes, and `extent` to compute the domains. Each flower is drawn as an SVG circle with a fixed radius, but the code also defines rectangular attributes (`rx` and `ry`) from sepal measurements, though these are not visually applied. Axis labels and ticks are generated using `axisLeft` and `axisBottom`.

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This scatter plot visualizes the Iris Dataset, mapping petal length and width for each specimen on the x- and y-axes, while coloring each point by species (setosa, versicolor, and virginica). The chart uses the D3 v6 `csv` loader to fetch the dataset, `scaleLinear` for axes, and `extent` to compute the domains. Each flower is drawn as an SVG circle with a fixed radius, but the code also defines rectangular attributes (`rx` and `ry`) from sepal measurements, though these are not visually applied. Axis labels and ticks are generated using `axisLeft` and `axisBottom`.

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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It also stores sepal measurements as data attributes on each circle, though these are not used for positioning. The implementation uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG with circles. Data is fetched from a GitHub Gist, and the viewport fills the browser window.

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