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Tutorial 3.2

✓ Published1🌍 Public
MMohammed Abdul Mannan
Last edited Oct 31, 2025
Created on Oct 31, 2025

A scatter plot displays Iris flower measurements, plotting sepal length against petal length with a legend differentiating species by symbol shape. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and custom axis and legend modules. Data loads from a CSV via `csvParse` and renders with `join` and `symbolGenerator`, while axes are built using `axisLeft` and `axisBottom`.

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Tutorial 3.2

A D3.js scatter plot displays iris flower measurements, plotting sepal length against petal length. Distinct symbols represent different species, with a legend mapping each species to its corresponding marker shape. The visualization loads CSV data from a GitHub repository, parsing and converting numerical strings to numbers. The code constructs linear scales for both axes and an ordinal scale for shapes, using `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.symbol` to generate the visual encoding. Custom functions manage axes and legend rendering via `d3.select` and SVG path joins.

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This scatter plot visualizes the Iris dataset, showing the relationship between sepal and petal length for three species. The d3.js code uses `scaleLinear` for the x- and y-axes, and `scaleOrdinal` with `symbolsFill` to distinguish species by shape (circles, squares, and other symbols). A custom legend component displays the symbol-to-species mapping, while the `axes` module renders labeled axes using `axisBottom` and `axisLeft`. Data is loaded asynchronously from a CSV file and parsed with `csvParse`.

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This scatter plot displays iris flower measurements, mapping sepal length and petal length to Cartesian coordinates while encoding species with different SVG symbols. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal with d3.symbolsFill to assign distinct shapes, and a custom shape legend positioned at a fixed offset. Data is loaded asynchronously from a GitHub-hosted CSV file and parsed with d3.csvParse. The code builds the chart through reusable d3 function components for axes, legend, and plot rendering.

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This interactive scatter plot displays sepal length against petal length for the Iris dataset, with species differentiated by symbol shape and a corresponding legend. It loads data from a remote CSV and uses D3 v7 methods including `scaleLinear`, `scaleOrdinal`, `symbol`, and `axisLeft`/`axisBottom`. The visualization is built with ES6 modules, including custom axis and legend components, and dynamically fetches and parses the dataset using `csvParse` before rendering.

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This scatter plot visualizes the Iris dataset, mapping sepal length against petal length and distinguishing iris species by shape using d3.scaleOrdinal and d3.symbolsFill. The code imports modular D3 functions like axisLeft, axisBottom, and csvParse from d3.v7, and builds the chart with a custom scatterPlot module that renders symbols via the symbol generator. A separate shapeLegend module displays the species categories, while axes labels clarify the measurements. Data loads asynchronously via fetch from a GitHub-hosted CSV file.

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This example demonstrates a D3.js scatter plot of the Iris dataset, showing sepal length against petal length with species encoded by symbol shapes. It uses D3 modules like `csvParse`, `scaleLinear`, `scaleOrdinal`, `schemeCategory10`, and `symbol` to render the marks. It also includes custom axes and a shape legend built with `axisLeft`, `axisBottom`, and `symbolGenerator`. Data is fetched from a CSV file via UNPKG and processed into numeric fields before visualization.

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This example shows an interactive scatter plot of the Iris dataset, comparing sepal length against petal length, with each of the three species distinguished by a unique symbol shape via a custom legend. The visualization is built with D3 v7, using `d3.scaleLinear` for axes, `d3.scaleOrdinal` and `d3.symbolsFill` to map species to symbols, and `d3.csvParse` to load and parse the remote CSV data. Custom modules handle axis rendering and legend construction, with the chart filling the entire viewport.

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This scatter plot displays the relationship between sepal length and petal length for iris flowers, with species differentiated by symbol shapes. The visualization uses D3 v7's scaleLinear for axes, scaleOrdinal with symbolsFill for shape encoding, and a custom shape legend to identify species. Data is loaded asynchronously from a CSV file containing the classic iris dataset. The axes and legend components are modularized into separate functions, with the chart updating responsively to the browser window size.

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