ducksboard

100%

✓ Published0🌍 Public

Last edited Oct 31, 2011

Created on Oct 31, 2011

This example demonstrates a lightweight workflow for sending real-time data to a Ducksboard dashboard. It constructs a JSON payload containing a timestamp and a message object, then uses the `msg.http` request API to POST that data to a specific Ducksboard value endpoint. The code authenticates with an API key and displays the server's response, showing how to push a simple message to a live dashboard widget. The example relies on the Ducksboard HTTP push API and the `msg` library for making the HTTP request.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 43d00ddea701789295809c54be1f7183

This example shows a live-updating fluid monitoring dashboard, displaying recent sensor readings for multiple tanks. The visualization uses a JavaScript backend with Knex.js to insert incoming data into a database, and a frontend that likely renders real-time charts or gauges for parameters like dissolved oxygen (DO) from the specified location. The code demonstrates the API endpoint where a POST request with a reading value is parsed and stored, triggering an update to the visual display. It uses the Express framework alongside Knex.js for database operations, while the frontend appears to employ SVG-based graphics for the interactive data representation. The demo focuses on the integration between data ingestion and dynamic visual feedback.

JJWTappert

58% match

Loading thumbnail…

buoys scheduler error

This example visualizes the timing and error events from a Heroku scheduler run for the “buoys” app, which fetches ocean wave data from New South Wales government GIF graphs. A timeline chart shows the sequence of log lines, highlighting when specific location fetches (Byron Bay, Sydney, Eden) succeed or fail. The code uses D3’s `d3.forceSimulation` to position nodes representing each log entry, with colors distinguishing app messages, scheduler state changes, and the socket hang-up error. Data comes from the gist’s plain-text log file, parsed and rendered with SVG paths and D3 scales.

DDylanFM

55% match

Loading thumbnail…

DUPA

This example demonstrates how to display text from a local ES6 module on a webpage. It uses a simple JavaScript array of bird objects with properties like species and food, and displays a specific species name in a large font. The code imports a variable from a separate `birbs.js` file and uses DOM manipulation via `document.getElementById().textContent` to update the page. It also shows commented-out examples of using JSON parsing and array mapping, though the active code focuses on simple data extraction and rendering.

BBromBor

53% match

Loading thumbnail…

dboard

The dashboard displays sales data from a CSV file, using a small multiple of four SVG plots to visualize metrics like order amounts by category, product, and region. The code leverages D3 version 6 to parse the data, scale axes, and render stacked bar charts, with a color palette distinguishing revenue segments. Tooltips are implemented via HTML elements, and the layout is managed through a CSS grid, while the chart dimensions and margins are explicitly defined in the JavaScript.

JJShellBach

53% match

Loading thumbnail…

Fork of Let's make a face with D3.js!

A fork of the “Make a face with D3.js” tutorial, this example draws a cartoon duck from basic SVG shapes—ellipses, a polygon, circles, and lines—positioned around a 960×500 canvas. It demonstrates fundamental DOM manipulation with D3 v5, using `select` to target the SVG and chained `.append` and `.attr` calls to build the body, head, beak, eyes, wings, and legs. The code relies on explicit pixel coordinates and fixed dimensions rather than data binding, rendering a static, yellow duck with orange beak, wings, and thicker legs.

Aarchanagoli@my.unt.edu

52% match

Loading thumbnail…

dboard

This dashboard displays a sales dataset across four synchronized visualizations: a scatter plot of sales over time, a bar chart of sales by sub-category, a geographic map of US sales, and a pie chart of sub-category proportions. Built with Vue, it uses D3 v6 APIs like `d3.scaleBand`, `d3.pie`, `d3.geoAlbersUsa`, and `d3.geoPath`, with data loaded via `d3.csv` from a local CSV file. Animations use `transition` calls, and all charts render as SVG.

JJuliette

51% match

Loading thumbnail…

dboard

This dashboard example, built with Vue and D3 v4, presents multiple data visualizations from a CSV file of sales records. The primary chart is a stacked bar chart that breaks down sales by product category, using a color-coded system to distinguish between subgroups. It imports specific D3 functions like `csv`, `scaleBand`, and `scaleLinear` to parse the data and construct the SVG-based charts. The interface uses a CSS grid to arrange four distinct visualization panels, with a tooltip element prepared for interactive data exploration.

BBaptisteJarry

51% match

Loading thumbnail…

Using POST in d3-json

This example demonstrates how to send a POST request using d3-fetch and render the server’s JSON response as SVG text. The code constructs a request body with a title, body, user ID, and friends array, then posts it to the JSONPlaceholder API via `d3.json` with method and header options. Upon resolution, the returned object is stringified and displayed in monospace font on a blank SVG canvas. The visualization is minimal, focusing on the data round-trip rather than complex graphical encoding.

PPhilippe Rivière

51% match