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Tutorial 3.2

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GGangumalla Ruchitha Reddy
Last edited Apr 14, 2024
Created on Apr 14, 2024
Forked from Hello VizHub

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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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 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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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 shows the relationship between sepal length and petal length for three iris species, with each species represented by a distinct symbol shape and color. The visualization uses D3’s scaleLinear, scaleOrdinal, and axis utilities to position marks and render labeled axes. A shape legend, built with the d3.symbol API, identifies species symbols. The data is loaded from a remote CSV, parsed with csvParse, and rendered on an SVG canvas. The example demonstrates custom reusable components for axes and legends using the select and join pattern.

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Tutorial 3.2 : Scatter plot

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 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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