Danny Stephens

@DannyAStephens·12 public vizzes

Creating a Bar Chart with React

This example demonstrates the initial structure of a bar chart built with React and D3 v5, fetching CSS named color data from a remote CSV file using D3’s `csv` utility and managing it with React state (`useState`). The chart, rendered as an SVG, maps each color to a rectangle element, with dimensions controlled by a `scaleBand` scale, though the layout is incomplete. When data is loading, a large “Loading…” message appears, and the code includes commented-out arcs for potential pie slices using D3’s `pie` and `arc` functions.

Sep 16, 2021

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Fork of Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects, with values multiplied by 1,000 for accuracy. It demonstrates customization of D3 axes, including a horizontal linear scale with tick formatting that converts abbreviations (e.g., "G" to "B") and a vertical band scale for country names. The SVG rendering uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft. The chart includes a title, labeled x-axis, and gridlines created via tickSize, while gridlines and axis domains are selectively removed for a cleaner look.

Sep 15, 2021

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Fork of Vega-Lite API Template 2

This visualization displays a scatter plot of auto-mpg data, showing engine horsepower against miles per gallon, with each point colored by origin and sized by vehicle weight. Hovering reveals the car model name via tooltips. The code uses the vega-lite-api to construct the chart, d3.csv for data loading, and vega-tooltip for interactivity. Data originates from the UCI Machine Learning Repository, and the styling is customized through a config.js file.

Sep 9, 2021

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Fork of Rendering Data with React & D3 cont

This example displays the complete set of CSS named colors as an SVG pie chart, with each slice filled using its corresponding RGB hex value from a CSV dataset loaded via `d3.csv`. The chart is rendered through React components using `useState` and `useEffect` hooks, which fetch the data asynchronously and manage the loading state. A `d3.pie` generator computes the angles for each color, while `d3.arc` creates the path shapes with an outer radius equal to the full chart width. The visualization maps each data row to a slice, demonstrating how React and D3 v5 integrate for data-driven rendering.

Sep 5, 2021

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Rendering Data with React & D3 cont

This example displays a vertical stack of thin color bars representing CSS named colors, loaded from a CSV file of color names and hex values. The data is fetched using D3’s `csv` utility and stored in React state via the `useState` and `useEffect` hooks. Each row renders as a div with its background color set to the corresponding hex value, producing a continuous gradient strip. React manages the rendering pipeline, while D3 only handles the data loading.

Sep 5, 2021

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Vega-Lite API Template fast iteration

This example demonstrates rapid iteration with the Vega-Lite API by rendering a scatter plot of automobile data from the UCI Machine Learning Repository. It shows the relationship between highway miles per gallon, engine displacement, model year, and city MPG using circle marks with opacity. The visualization is built programmatically using `vega-lite-api` to construct the specification, then rendered as an SVG via Vega and Vega-Lite, with tooltips handled by `vega-tooltip`. The code uses `d3.csv` to fetch data, applies custom axis and label styling from a config object, and dynamically sizes the chart to fit the window.

Sep 5, 2021

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Loading Data with React and D3

This example demonstrates a React and D3 integration that loads a CSV file of CSS named colors and displays a summary message about the dataset. The application uses React's state management and hooks (useState, useEffect) to fetch and store the data, while D3's csv function handles the remote file retrieval. The visible output shows the number of rows, columns, and approximate file size calculated from the loaded dataset, with a loading message displayed before the data arrives.

Sep 4, 2021

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Loading and Parsing Data

This example demonstrates how to load and parse CSV data using D3 v7, displaying a summary of the dataset’s size in rows, columns, and kilobytes. It fetches a remote CSV file of named CSS colors via `d3.csv`, then computes the row count from the parsed array and column count from `data.columns`. The page’s message is updated with this information, showing the result in large text. The code also includes commented alternatives using the Fetch API with `async/await`.

Sep 4, 2021

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interaction with react

This example demonstrates a React-based interactive SVG visualization of a smiley face. As the user moves the mouse, a yellow circle with a black border follows the cursor across a 960-by-500 canvas, while two smaller circles remain fixed. The application uses React’s `useState` to track the mouse position and the `onMouseMove` event handler to update coordinates. It renders graphics through SVG elements within a React component, initializing with `ReactDOM.render`. The code references React 16.9.0 from the unpkg CDN.

Sep 3, 2021

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Loading and Parsing CSV Data

This example demonstrates the simplest possible way to fetch and parse CSV data in the browser. It shows a single large HTML heading displaying "Hello HTML" after loading a remote CSV file from a GitHub gist. The code uses the native `fetch` API to retrieve the CSV and relies on no additional libraries. The page is styled with inline CSS, setting the body font size to 13em, and the script contains the fetch URL string. The example serves as a bare minimum starter for handling tabular data in a plain HTML context.

Sep 2, 2021

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Fork of React Starter

A grid of eighteen yellow smiley faces, each generated with randomized facial features, displays the compositional power of React components. The code combines React with D3.js, using the `range` function from D3 to create the array of faces. Each face is rendered as SVG, constructed from reusable `Face`, `Eyes`, `Mouth`, and `BackgroundCircle` components, with the mouth drawn via a D3 arc path.

Sep 2, 2021

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Smiley

A yellow smiley face rendered as static SVG circles. Three circle elements define the face and two eyes on a black-outlined yellow background, all centered within a 960-by-500 viewport. The HTML page loads a linked stylesheet that removes body margins and hides overflow, while the SVG draws directly without any JavaScript libraries or data sources. The example demonstrates simple geometric composition using native SVG markup.

Aug 26, 2021