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Fork of Iris Dataset Scatter Plot

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RRamakanth771
Last edited Mar 7, 2022
Created on Mar 7, 2022

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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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 on the x-axis and petal width on the y-axis. Each point is colored by species (setosa, versicolor, or virginica), though the code also loads sepal dimensions without displaying them. Built with D3 v6, it uses `d3.csv` to load data, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Circles are rendered as SVG elements with `selectAll` and `join`, with axis labels added via SVG text elements.

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Fork of Iris Dataset Scatter Plot

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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This scatter plot visualizes the Iris Dataset, mapping petal length and width onto the x- and y-axes. Each point is colored by species—green, orange, or brown—using a custom marker function. Built with D3 v6, the SVG chart uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes. Data is loaded via `d3.csv` from a GitHub gist, with numeric fields parsed on ingestion. The visualization fills the screen and includes axis labels for petal length and sepal length.

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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 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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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width on the x- and y-axes, with each point colored by species (green, blue, or red). Built with D3 v6 and SVG, it uses `d3.csv`, `scaleLinear`, `axisBottom`, and `axisLeft` to render the axes. The code also reads sepal measurements but does not use them visually. Data is loaded from a GitHub-hosted CSV file, and the chart fills the browser window with fixed margins and 24-pixel tick labels.

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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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Fork of 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, or virginica). The SVG is rendered using D3 v6, with scales created via `d3.scaleLinear`, axes via `d3.axisLeft` and `d3.axisBottom`, and data loaded asynchronously from a CSV URL using `d3.csv`. The visualization fills the entire browser window and uses D3's `.join()` operator to create the circle marks.

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