drc6587

@drc6587·11 public vizzes

React and D3 Line Chart

This example shows a React and D3.js line chart that displays data loaded from a remote CSV file. The visualization uses React state to manage the data loading process, initially displaying a “Loading…” message until the data is fetched. D3 utility functions like `csv()` are used to parse and transform the data, while React’s `useState` and `useEffect` hooks handle the asynchronous data retrieval. The chart renders as an SVG, though the current implementation displays only a placeholder circle, with the data being mapped but not yet visualized as lines.

Oct 4, 2022

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Fork of Sized Points on a Map

A world map displays cities with populations over 50,000, with circle size scaled by population using a square-root scale from d3-scale. The visualization renders geographic features—landmasses, country interiors, the sphere, and graticules—via d3.geoNaturalEarth1 and d3.geoPath in an SVG. City coordinates are projected from latitude and longitude, while data comes from a CSV of world cities and the World Atlas TopoJSON, all styled with translucent teal circles.

Oct 4, 2022

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Smiley Face Part I

This example builds a smiley face using React and SVG. It defines reusable components for the face's background circle, eyes, and mouth, which are then assembled within a central `FaceContainer` that handles the SVG coordinate system. A yellow circle provides the base, with black eyes and a mouth drawn using a D3 arc, which creates a smile by sweeping between specific angles. The face's proportions are controlled by configurable parameters like eye offset and mouth radius, allowing for easy customization.

Sep 28, 2022

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Multiple Charts Sample

This visualization presents a multi-panel dashboard of ILINet flu surveillance data, combining a scatter plot of weekly state-level ILI percentages with a line chart, bar chart, and U.S. map. The scatter plot encodes ILI total through circle size and year through color, while dropdown menus let users switch data fields. Built with React and D3 v5, it uses d3.scaleLinear, d3.scaleOrdinal, d3.geoAlbers, and d3.geoPath for the map, with topojson for state boundaries. Data is loaded from a CSV of CDC flu surveillance records.

Sep 28, 2022

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Bar Chart with React

A bar chart displays the top 10 countries by 2020 population, sourced from a UN Population CSV loaded via `d3.csv`. The React component uses `useState` and `useEffect` to fetch and store data, then renders an SVG with `d3.scaleBand` for countries on the y-axis and `d3.scaleLinear` for population on the x-axis. Gridlines and tick labels are generated from `xScale.ticks()`, while each bar is a `<rect>` with fill opacity and stroke styling.

Aug 5, 2022

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Rendering data with React

This visualization presents a pie chart of CSS named colors, rendered as SVG paths within a React application. The underlying data is loaded asynchronously using D3's `csv` utility from a remote gist URL. React manages the application state, displaying a loading message until the data arrives, then mapping each row to a pie slice. The path geometries are calculated using D3's `arc` generator, with each slice's fill color directly sourced from the 'RGB hex value' column in the dataset.

Jul 28, 2022

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Loading data with React and D3

This example demonstrates how to load external data with D3 utilities while managing it through React state. It fetches a CSV file of named CSS colors using `d3.csv` within a `useEffect` hook, then stores the result via the `useState` setter. The component renders either a loading message or a computed summary showing the data’s file size in kilobytes and row count, calculated using `d3.csvFormat`. The visualization is minimal, outputting text rather than graphical elements, and uses React 18 with D3 v7.

Jul 26, 2022

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Vega-Lite API Temperature Chart

This interactive chart displays San Francisco temperature trends over time, rendered as a thin line with tooltips that reveal exact temperature values on hover. Built using the Vega-Lite API, it leverages `vl.markLine`, `vl.x().fieldT`, and `vl.y().fieldQ` to encode the temporal and quantitative data, while `vega-tooltip`’s `Handler` provides the interactive popups. The visualization pulls CSV data from a GitHub gist via D3’s `csv` function, with styling customized through the `config` object. The chart resizes to fill the browser window using `autosize` and renders as SVG.

Jul 22, 2022

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Vega-Lite API Template Cars

This visualization displays automobile performance data from the UCI Auto MPG dataset, plotting acceleration against horsepower while encoding weight through circle size and origin as color. Hovering reveals vehicle names via tooltips. The code uses the Vega-Lite API to construct the scatter plot declaratively, with D3’s `csv` loader fetching the remote dataset, and renders through Vega’s SVG output. Custom axis and label styling come from a shared config object.

Jul 20, 2022

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Loading and Parsing CSV data

This example demonstrates three distinct approaches to loading and parsing CSV data in a browser. It fetches a public gist containing CSS named colors and logs the parsed data to the console using `d3.csv`. The code also includes commented-out alternatives using `fetch` with async/await and `d3.csvParse`, as well as a nested promise chain. A large "Hello HTML!" message displays in the browser, while the JavaScript showcases modern and legacy patterns for handling asynchronous data loading with the d3.v7 library.

Jul 18, 2022

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Smiley Face Part I

A yellow circle with a black outline and a black arc smile follows the mouse cursor across an SVG canvas. Built with React and D3 v7, the smile is generated using the `arc()` generator from D3, while React's `useState` and `useCallback` hook react to `onMouseMove` events. The circle renders as an SVG element at the cursor's current position.

Jul 18, 2022