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Fork of Fork of Vanilla D3 Vibecoding Template

This interactive scatter plot visualizes the Iris dataset, comparing sepal length and width across three iris species using a custom color scale. The chart loads CSV data via `d3.csv` and renders SVG circles with configurable radius, opacity, and stroke. A legend with hover interactions dims non-matching points using `mouseenter` and `mouseleave` events. The visualization uses d3 scales for axes and the ResizeObserver API to adapt to container dimensions.

Oct 25, 2025

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Fork of Fork of Fork of d3.js project

This scatterplot displays the relationship between Sales and Profit for five products, with each circle representing a product and positioned according to its sales and profit values. The visualization uses D3.js v3, loading data from a CSV file via `d3.csv` and rendering an SVG with `d3.select`. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, with linear scales (`d3.scaleLinear`) mapping the data ranges to the 500×400 pixel canvas. Steelblue circles mark the data points, while axis labels identify the measured variables.

Oct 25, 2025

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Fork of Fork of Fork of Fork of d3.js project

This interactive scatter plot visualizes Fisher's Iris dataset, comparing sepal length and width across three species with distinct BBC-style colors and hover highlighting. Using D3.js v7, it implements responsive sizing via ResizeObserver and renders SVG circles with configurable radii, opacity, and stroke. The visualization includes axis labels, a legend that filters points on mouseenter, and additional petal dimensions mapped but not displayed. Data loads asynchronously from a remote CSV using `d3.csv`.

Oct 25, 2025

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Fork of Fork of Fork of d3.js project

This interactive scatter plot visualizes the Iris dataset, comparing sepal length against sepal width across three species. The visualization uses d3.csv to load data and d3.scaleLinear, d3.scaleOrdinal, and d3.axisBottom/axisLeft to render the chart. Users can hover over the legend to highlight individual species while fading others. The chart displays a title, subtitle, source attribution, and uses the BBC color theme to differentiate data points.

Oct 25, 2025

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Fork of Vanilla D3 Vibecoding Template

This interactive scatter plot visualizes the Iris dataset, comparing sepal length and width across three species. Built with vanilla D3 (v7), it uses `scaleLinear` for axes, `scaleOrdinal` for species coloring against a BBC color palette, and `csv` for data loading. The chart supports interactive highlighting via a legend, which fades non-hovered points, implemented with D3's selection joins and a `ResizeObserver` for responsive sizing.

Oct 25, 2025

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Fork of Fork of d3.js project

This interactive scatter plot visualizes the Iris dataset, comparing sepal length and width across three species of iris flowers. The visualization uses D3.js v7 to render an SVG chart with axes, labels, and a legend that highlights data points by species when hovered, using color categories from a BBC-inspired theme. It leverages D3's `scaleLinear`, `scaleOrdinal`, `axisBottom`, and `axisLeft` APIs, with data loaded asynchronously via `d3.csv`.

Oct 25, 2025

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Fork of d3.js project

This interactive scatter plot visualizes Fisher’s Iris dataset, comparing sepal length and width across three species colored with a BBC-inspired palette. Using D3 v7, it renders an SVG chart with axes, labels, source attribution, and a hoverable legend that highlights points of the selected species while fading others. The visualization supports responsive resizing via ResizeObserver, with styling controlled through CSS classes. Data is loaded asynchronously from a remote CSV and mapped to configurable dimensions for x, y, and color encoding.

Oct 25, 2025

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d3.js project

This interactive scatter plot visualizes the Iris dataset, comparing sepal length and width across three iris species. The visualization uses D3.js's `scaleLinear`, `scaleOrdinal`, `axisBottom`, and `axisLeft` APIs to create a fully rendered SVG chart. It includes a hoverable legend that highlights points from a selected species by raising them and fading the others. The styling uses BBC-themed colors for the data points, with the data loaded from a CSV file via the `csv` function.

Oct 25, 2025

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Fork of Hello HTML

This example displays a CSV dataset loaded from a GitHub Gist, summarizing the total row count and previewing the first five records in an HTML table. It then renders an SVG bar chart showing the first column as categorical labels on the x-axis and the second column as quantitative values on the y-axis using `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. The chart title and axes are added via D3 selections. Styling uses embedded CSS, and data loading relies on `d3.csv`.

Oct 5, 2025