Fork of Reusable scatter plot with different symbols

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Fork of Reusable scatter plot with different symbols

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Last edited May 11, 2023

Created on May 11, 2023

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This example displays the Iris dataset as a scatter plot of petal width against sepal length, with each species represented by a distinct D3 symbol. The visualization uses d3.scaleLinear for positional encoding, d3.scaleOrdinal to map species to symbol types, and d3.symbol to generate the icon shapes. Axes are rendered with d3.axisLeft and d3.axisBottom. The reusable chart component accepts configurable accessor functions and margin parameters, and the data is loaded asynchronously from a GitHub Gist via d3.csv.

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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 Fork of Reusable scatter plot with different symbols

This reusable D3 scatter plot visualizes the Iris dataset, mapping petal width to the x-axis and sepal length to the y-axis. Each species is represented by a distinct symbol from the d3.symbols collection, with the symbol type determined by a d3.scaleOrdinal. The code uses d3.scaleLinear for axes, d3.axisLeft and d3.axisBottom for ticks, and d3.csv to load the data. Rendering is done via SVG paths, with the chart configured through a custom reusable function pattern.

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Fork of Reusable scatter plot with different symbols

This example displays the Iris Dataset as a scatter plot, mapping petal width and sepal length to x and y positions while encoding species with distinct D3 symbols. The code uses d3.csv for data loading, d3.scaleLinear and d3.scaleOrdinal for scales, and the d3.symbol API to generate path shapes. Axes are rendered with d3.axisLeft and d3.axisBottom. The visualization is a reusable module, created via a custom scatterPlot function that is called once within an SVG container sized to the viewport.

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This example visualizes the Iris dataset as a scatter plot, encoding petal width and sepal length on the x- and y-axes. Different species are distinguished using D3 symbols (circles, crosses, and diamonds) with red, green, and blue fills. The code builds the chart with a reusable `scatterPlot` function that leverages d3.scaleLinear, d3.scaleOrdinal, d3.symbol, and d3.axisLeft/axisBottom. A legend shows each species with its corresponding symbol and color. The SVG rendering and margins are configured in the main script.

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A D3.js scatter plot visualizes the Iris dataset, mapping petal width on the x-axis and sepal length on the y-axis. Each species is represented by a distinct symbol from d3.symbols, with symbol types assigned via d3.scaleOrdinal. The visualization uses d3.scaleLinear for axes, d3.axisLeft and d3.axisBottom for tick marks, and a custom scatterPlot module to manage the reusable layout. Data is loaded asynchronously from a CSV file via d3.csv, and the SVG rendering fills the full browser window.

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This scatter plot visualizes the Iris dataset, mapping petal width to sepal length and using distinct symbols for each species. It uses D3 v6 APIs including `scaleLinear`, `scaleOrdinal`, `symbol`, and `symbols` to render SVG paths, with axes generated via `axisLeft` and `axisBottom`. The chart is built through a reusable `scatterPlot` function configured with margin, size, and accessor methods. Data is loaded as CSV from a GitHub gist and parsed into numeric values.

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This example is a reusable scatter plot that visualizes the Iris Dataset, using distinct symbols to represent different species. The plot maps petal width to the x-axis and sepal length to the y-axis, with axis labels rendered via `d3.axisLeft` and `d3.axisBottom`. The implementation leverages `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.symbol` to generate SVG paths for each data point. Data is loaded asynchronously from a CSV file using `d3.csv` and parsed with a custom row handler. The plot’s dimensions adapt to the browser window, and styling is applied through a linked stylesheet.

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This scatter plot visualizes the Iris dataset, mapping petal width and sepal length on the x and y axes, with each species represented by a distinct D3 symbol shape. Built as a reusable D3 module, it uses `scaleOrdinal` to assign symbols, `scaleLinear` for axes, and `symbolGenerator` to generate SVG paths. The code draws axes with `axisLeft` and `axisBottom`, and loads data asynchronously via `d3.csv`.

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This scatter plot visualizes the Iris Dataset, mapping petal width to the x-axis and sepal length to the y-axis. Each data point uses a distinct D3 symbol—circle, cross, diamond, square, star, triangle, or wye—determined by the iris species through a `scaleOrdinal` and the `symbol` generator. The visualization is rendered as SVG using D3 version 6.7.0, with axes created via `axisBottom` and `axisLeft`. The code is organized as a reusable `scatterPlot` function, accepting configurable accessor functions and margin settings, and loads data from a GitHub Gist using `d3.csv`.

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