smsk2980

@smsk2980·12 public vizzes

Rendering Data with React

This example shows a pie chart where each slice represents a CSS named color, with the slice fill matching the color itself. The data, loaded from a remote CSV file using D3’s `csv` utility, is rendered entirely through React components. React’s `useState` and `useEffect` hooks manage the asynchronous loading of the color data, while D3’s `pie` and `arc` generators compute the slice angles and SVG path geometries. The chart is drawn as an SVG, centered on a canvas of 960 by 500 pixels, with React mapping each data row to a colored `<path>` element.

May 8, 2021

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Loading and parsing CSV Data and visualizing

This example loads a CSV file of CSS named colors using d3.csv and displays basic metadata about the dataset in large text. It reports the file size in kilobytes, the number of rows, and the number of columns, computed with d3.csvFormat and the data's columns property. The visualization relies on D3 v6’s promise-based CSV parsing and DOM manipulation via document.getElementById. A commented-out alternative demonstrates the equivalent approach using fetch, async/await, and d3.csvParse.

May 8, 2021

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Fork of Vega-Lite API Template

This visualization displays automobile data from a CSV file, plotting engine displacement against horsepower. Each point represents a vehicle, with color encoding the model year and size encoding vehicle weight. Tooltips reveal the car name when hovering. The chart uses the Vega-Lite API to construct the specification, with D3.js handling data loading via `d3.csv`. The visualization is rendered to SVG and fills the browser window, using a custom configuration to improve readability with larger fonts and adjusted axis styling. The code imports `vega`, `vega-lite`, and `vega-lite-api`, registering them with a tooltip handler to enable interactive data exploration.

May 1, 2021

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Iterating Fast with Vega Lite API

This example visualizes the relationship between computer price, speed, ads, and screen size from an R dataset loaded via d3.csv. It uses the vega-lite-api to programmatically construct a scatter plot with circular marks, encoding price on the x-axis and speed on the y-axis, while color represents ads and size encodes screen. The visualization renders as SVG through Vega and Vega-Lite, with a custom dark theme config for improved readability and interactive tooltips provided by vega-tooltip.

Apr 25, 2021

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Fork of Stylized Line Chart

A stylized line chart displays temperature readings over a week in San Francisco, using a smooth curve to connect time-series points. The React-based visualization, rendered as SVG, implements axes through custom `AxisBottom` and `AxisLeft` components, while `d3.scaleTime`, `d3.scaleLinear`, and `d3.extent` handle scaling and domains. The `d3.line` generator with `curveNatural` produces the curved path, with data loaded asynchronously via `d3.csv` from the Data Canvas Sense Your City dataset. The chart includes minimal gridlines, tick labels, and axis labels, with no individual data points drawn.

Apr 25, 2021

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Fork of Mouse Follower

This example uses D3’s `csv` loader to fetch a list of CSS named colors, then passes the parsed data into a React component’s state via `useState` and `useEffect`. The app displays a plain-text summary of the dataset—file size in kilobytes, row count, and column count—computed using `d3.csvFormat`. The rendering is handled by React DOM, with a loading message shown until the asynchronous data request resolves. The example demonstrates a minimal integration of D3 data loading with React’s state management.

Apr 24, 2021

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Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 within a React framework. It fetches a dataset of CSS named colors and displays summary statistics—file size in kilobytes, row count, and column count—in large, preformatted text. The code uses the Fetch API with async/await and d3.csvParse, though the active implementation is commented out, leaving only the rendered message container. It contrasts this approach with a commented-out "pyramid of doom" nested promise pattern.

Apr 17, 2021

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Loading and parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js, displaying the file size, row count, and column count of a dataset containing CSS named colors. The code uses `d3.csv` to fetch the remote CSV file from a GitHub gist URL, then computes the formatted data size with `d3.csvFormat`, and reports the number of rows and columns from the parsed result. The output is rendered as large text inside a `<pre>` element. An alternative commented approach using `fetch` and `d3.csvParse` is also included, showing two distinct methods for CSV handling in D3 v6.

Apr 17, 2021

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Mouse Follower

A yellow circle tracks the user's mouse cursor across an SVG canvas, updating its position in real time. The React app listens for mouse-move events through an SVG `onMouseMove` handler, storing coordinates in state. D3.js renders the circle, while React's `useState` and `useCallback` manage the dynamic positioning.

Apr 17, 2021

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Fork of Smiley Face Part V

A grid of eighteen smiley faces, each with randomly varied stroke width, eye offset, eye radius, and mouth dimensions, is rendered in SVG. The faces are drawn using D3’s arc generator for the mouth and React with ES6 modules, with each face composed from separate component files. The random parameters are generated inline using Math.random, and the layout is produced by mapping over a D3 range sequence.

Apr 11, 2021

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Smiley Face Part 1

This example shows a simple smiley face rendered as a static SVG graphic, composed of a yellow circular head, two white eyes with green irises, and a black smile. Built with React and D3, it uses d3.arc() to generate the paths for the head, eyes, irises, and mouth, with each shape positioned via SVG <g> transforms. The code defines arcs with explicit inner/outer radii and start/end angles, then renders them as <path> elements within a 960x500 SVG canvas.

Apr 10, 2021

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Fork of Smiley Face Part 3

A fork of the Smiley Face Part 3 example renders a stylized smiley face as an SVG graphic. The face consists of a yellow head with a blue stroke, a blue mouth arc, and two white eyes with green irises, all positioned symmetrically around the canvas center. Built with React and D3 v6, it uses `d3.arc` to generate the paths for the head, mouth, eyes, and irises, with each element placed via SVG transform groups. The code is embedded in an HTML page that loads React, ReactDOM, and D3 from CDNs.

Apr 10, 2021