Scatter Plot Template -

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Scatter Plot Template -

✓ Published0🌍 Public

Last edited Sep 21, 2020

Created on Sep 20, 2020

This example shows a scatter plot of Iris flower measurements, plotting sepal width against sepal length for several species. The visualization uses D3.js v6 to load a CSV dataset and render SVG circles, with linear scales mapping the numeric values to pixel coordinates along the x- and y-axes. Axis components are generated using d3.axisBottom and d3.axisLeft, while the circles are appended and positioned based on the parsed data fields via d3.scaleLinear.

AI-generated description

An example including some commonly used features of SVG.

MIT Licensed

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This scatter plot visualizes the Iris flower dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each circle represents a single flower sample, with axes and labeled ticks generated using d3.axisBottom and d3.axisLeft. The code loads CSV data via d3.csv, scales positions with d3.scaleLinear and d3.extent, and renders the chart as SVG elements. Axis labels are manually added as SVG text, with the visualization filling the entire browser viewport.

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This scatter plot displays the sepal length of individual iris flowers along the x-axis, grouped by species on the y-axis. The visualization uses D3 v6 to load CSV data and render an SVG with axes, gridlines, and circular marks. It employs `d3.scaleLinear` for the continuous length scale, `d3.scalePoint` for the categorical species axis, and `d3.axisBottom` and `d3.axisLeft` for the labeled axes. The Iris dataset is loaded via `d3.csv`, with sepal_length parsed as numeric values.

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This scatter plot visualizes the Iris dataset, comparing sepal length and sepal width across 150 individual flowers. Each circle represents one sample, with its position determined by these two measured attributes while a green, semi-transparent fill makes overlapping points visible. The visualization is built using D3 v6, loaded via UNPKG, and rendered as SVG. Code imports functions like `scaleLinear`, `axisLeft`, and `axisBottom` from the D3 module to construct the axes and scales. Data is loaded from a local CSV file using D3’s `csv` method.

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