asimplesinger

@asimplesinger·10 public vizzes

Hello VizHub

This bar chart visualizes the population of the top 10 most populous countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. It loads data from a local CSV file and renders the visualization with D3 v5, utilizing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart. The SVG-based output includes a title and axis labels, with data transformed by multiplying values with a fixed factor.

Mar 4, 2019

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Hello VizHub

This bar chart displays population estimates for ten countries, sourced from a CSV file and rendered as scalable vector graphics. The visualization uses D3 v5 with `scaleLinear`, `scaleBand`, and `axisBottom` to map population values and country names to bar dimensions. Data loading relies on D3’s `csv` method, and each bar’s height is set via `yScale.bandwidth()`. The chart highlights relative population sizes, with China leading, followed by India and the United States.

Mar 2, 2019

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Hello VizHub

This example draws a simple smiling face in an SVG canvas using D3.js v5. It shows how to compose basic shapes—a yellow circle for the head, black arcs for the eyes and mouth, and rectangles for the eyebrows—by chaining D3 selections and attribute setters. The code uses `d3.select` and `d3.arc` to generate the mouth path, with hardcoded coordinates and transformations for positioning.

Feb 26, 2019

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Hello VizHub

This example renders a static SVG canvas containing basic geometric shapes—a red circle with a blue outline and a red square with an orange outline—alongside a grouped set of shapes transformed via the SVG `translate` attribute. The code uses D3.js v5, loaded from a CDN, and demonstrates direct SVG element construction within an HTML file. Styling is handled through an external CSS file that imports the Ubuntu font and sets a dark background. The visualization does not rely on data binding or interactive features, focusing instead on primitive shape composition and graphical styling.

Feb 26, 2019

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Hello VizHub

This example demonstrates asynchronous programming patterns using JavaScript Promises, with text updates appearing sequentially in two HTML divs. It shows how a chain of `Promise` objects, created through the `setTimeout` function, executes one after another, updating the visual output after each one-second delay. The visualization uses D3.js v5 through the `select` function to modify text content, while a separate module file exports an unused string constant. The styling relies on the Ubuntu font from Google Fonts with a dark background and light text, though the core interaction is purely timing-based rather than data-driven.

Feb 25, 2019

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Hello VizHub

This example displays a text report listing cars with prices above a threshold, generated from a hardcoded array of car objects. It demonstrates importing and using D3.js v5’s `select` method to update the DOM content of a `div`. The code also showcases ES6 module syntax with a separate `myMessage.js` export and array filtering/mapping for report formatting. Styling relies on an external Ubuntu font import and a dark background theme via CSS.

Feb 25, 2019

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Hello VizHub

This example displays a horizontal bar chart of population counts for countries in East and Central Asia using SVG rendering. The chart maps each country name to a row via `d3.scaleBand` and each population value to a bar width via `d3.scaleLinear`, with data loaded from a CSV file using `d3.csv` and a `max` extent for the domain. The code defines scales using `d3.scaleBand` and `d3.scaleLinear`, appends rectangles for each data row, and multiplies raw values by ten before rendering bars.

Feb 25, 2019

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Hello VizHub

This visualization renders a cheerful, static smiley face using D3.js v5 SVG primitives, composed of a yellow circle, two black eyes, and an arc-based mouth. The code demonstrates animated eyebrow rectangles that transition upward over two seconds via `transition.attr`, while the overall composition uses basic shape attributes and positioning. D3 selection and arc API generate the mouth path, with the SVG canvas sized at 960 by 500 pixels.

Jan 27, 2019

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Hello VizHub

This example demonstrates a simple asynchronous data-loading and reporting workflow using D3.js v5. It fetches a hardcoded JSON array of car objects via a custom `getall()` promise, filters cars priced under $2000, formats each record with `formatCars`, and joins the results into a report displayed in the page’s message div. The code uses D3’s `select()` to update the DOM text initially with “loading…”, then replaces it with the generated report after a five-second delay. Styling relies on an external Ubuntu font and a dark theme from `styles.css`.

Jan 19, 2019

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Hello VizHub

This example demonstrates a minimal D3.js setup where a user-defined message is rendered in a large, centered style on a dark background, alongside a second element displaying hardcoded text. The visualization imports the `select` function from D3 and a local ES6 module, `message`, to populate the DOM. It also imports car data from a local JSON file, though only the first car’s origin is referenced. The page uses D3 v5 and custom CSS with the Ubuntu font, showing basic data binding and modular file structure.

Jan 19, 2019