Nick Jefford-Horn

@nick-a-louse·8 public vizzes

Rendering Data with React and D3

This example visualizes CSS named colors as a half-donut chart rendered as SVG. It loads color data from a CSV file using D3’s `csv` utility, then maps each row to a `<path>` arc generated with `d3.arc`. React manages the data state and DOM rendering, with the chart centered via a transform. The visualization uses D3 v6 and React 16, combining D3’s geometry with React’s component-based UI.

Sep 19, 2021

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Rendering Data with React

A React application displays CSS named colors as a vertical stack of horizontal bars, one per color, with each bar’s fill matching its hex value. The program fetches a CSV file of named colors using D3’s `csv` utility, then maps each row to a `<div>` element whose background color is set inline from the ‘RGB hex value’ field. The visualization relies on React’s `useEffect` hook to load the data asynchronously and `useState` to hold the parsed result, showing a large “Loading…” message until the data arrives.

Sep 19, 2021

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Fork of Vega-Lite API Template

This fork of the Vega-Lite API template renders a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. Circles encode car origin on the x-axis, horsepower on the y-axis, weight as color, and miles per gallon as size, with tooltips revealing car names. The visualization uses the vega-lite-api library to construct the specification programmatically, registering Vega and Vega-Lite for rendering in SVG. The code loads CSV data via d3.csv, applies custom axis and label styling from config.js, and adapts to the full window size.

Aug 27, 2021

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Fork of Vega-Lite API Template

This scatter plot visualizes the relationship between engine displacement and horsepower for a set of automobiles, with each point labeled by car name via tooltips. Built using the Vega-Lite API (vl) within a D3.js framework, it fetches data from a CSV file via `d3.csv` and renders an interactive SVG chart. The visualization applies a customized dark theme and responsive sizing, with points rendered as semi-transparent circles using `.markPoint`.

Aug 27, 2021

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Fork of Rendering Data with React

This example visualizes CSS named colours as a uniform pie-like arrangement of filled SVG wedges, each coloured by its corresponding hex value from a CSV dataset. The React component loads the data using `d3.csv` and renders each wedge as a React `<path>` element with `d3.arc`, mapping every colour to the same fixed angle span. The SVG is centered on a 960x500 canvas, and the page displays a loading message until the data arrives.

Jun 7, 2021

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Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file using D3.js version 6.7.0, displaying summary statistics about the dataset in a large preformatted text block. It fetches a remote CSV file containing CSS named colors from a GitHub gist, then uses `d3.csv` to parse the response. The code calculates and displays the file size in kilobytes, total row count, and column count using properties like `data.length` and `data.columns.length`. Commented-out alternatives show equivalent approaches using `fetch` with async/await and `d3.csvParse`.

May 30, 2021

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Mouse Follower

A yellow circle follows the mouse cursor across a 960×500 SVG canvas, updating its position in real time through React state. The app uses `useState` to store the current mouse coordinates and `useCallback` to handle `mousemove` events, with the circle’s `cx` and `cy` attributes bound to that state. Rendered via ReactDOM and React 16.9, the visualization demonstrates reactive SVG updates without any external data source.

May 30, 2021

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Smiley Face Part 1

A grid of fifteen smiley faces, each with randomized eye positions and radii, mouth widths, and stroke widths, is rendered as a static SVG composition. The faces are generated using React components, with the D3 arc generator shaping the mouths. The code builds each face from modular React elements, including a yellow background circle, two eyes, and an arc-based mouth, all positioned within an SVG container.

May 29, 2021