nonbots

@nonbots·7 public vizzes

Fork of Rendering Data with React & D3

This bar chart displays the top ten countries by projected 2020 population, with a linear scale mapping population to bar width and a band scale for country names. Built with React and D3 v5, the visualization uses a D3 CSV loader to fetch the UN population dataset and React components to render SVG axes and marks. Custom axis components generate tick lines and labels, while each bar includes a tooltip via an SVG `<title>` element that formats values in billions.

Apr 8, 2021

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Fork of Loading Data with React & D3

This example visualizes CSS named colors as a radial pie chart, with each color occupying an equal arc segment around a central point. The code loads color data from a CSV file using `d3.csv` and manages the asynchronous loading state with React’s `useState` and `useEffect` hooks. Rendering is done via React components that produce SVG elements, with each slice drawn using `d3.arc` and fill colors set from the `RGB hex value` column in the dataset. While data loads, a simple text placeholder appears.

Apr 7, 2021

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Fork of Vega-Lite API Template

This example visualizes U.S. state population trends from 2010 to 2019 using a multi-series line chart. The Vega-Lite API constructs marks encoded with x-axis time data, y-axis population values, and color grouping by geographic area, with tooltips for individual states. Population data is loaded asynchronously via d3.csv from a GitHub gist. The visualization renders in SVG and includes a dark-themed config that removes axis domains and customizes label styling for readability.

Apr 7, 2021

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Fork of Mouse Follower

This example loads a named CSS color dataset from a remote CSV file and displays a summary of its size, row count, and column count. The React component uses the `useState` hook to store the data after fetching it asynchronously with d3.csv. The message is computed by formatting the CSV data back into a string with `d3.csvFormat`, measuring its length, and counting rows and columns. The interface shows only the text summary, with no graphic or interactive element beyond the loading state.

Apr 7, 2021

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Fork of Loading and Parsing CSV Data

This example shows the loading and parsing of a CSV file containing CSS named colors. The visualization displays three key statistics about the dataset: its size in kilobytes, the number of rows, and the number of columns. The code uses the D3.js v5 library’s `d3.csv` method to fetch and parse the remote CSV data from a GitHub gist. Alternatively, commented-out code demonstrates the same task using the Fetch API with async/await and `d3.csvParse`, highlighting two distinct approaches to loading tabular data.

Apr 7, 2021

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Fork of Smiley Face Part III

This visualization displays a grid of eighteen randomly generated smiley faces, each with slightly varying eye positions, radii, stroke widths, and mouth dimensions. Built with React and D3 v5, the faces are composed from modular components like BackgroundCircle, Eyes, and Mouth, with the mouth drawn using the d3.arc path generator. The code maps over a range array to render each face as an SVG group, using React to orchestrate the reusable face components and D3 for shape generation.

Apr 6, 2021

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Fork of Hello HTML

This example shows a smiling face drawn with SVG circles, rendered inside a React component. The face consists of a yellow circle with a thick black stroke, plus two smaller circles for eyes. The code imports the `arc` function from `d3`, though it is only logged and not used in the final output. ReactDOM renders the `<App>` component, which uses JSX to define SVG elements, with hardcoded positions and radii for the face features.

Apr 5, 2021