Visualising Data with JavaScript Complete Bundle https://leanpub.com/b/visualising-data-with-javascript-complete-bundle by Peter Cook is the featured bundle of ebooks on the Leanpub homepage! https://leanpub.com #Graphics #D3Js #Javascript #WebDevelopment #DataScience #NodeJs #React #Html #Css #books #ebooks

TIL that

path {
vector-effect: non-scaling-stroke;
}

will retain the stroke width in #SVG strokes regardless of zoom level (f.ex with #d3js)

<Happy noises>

New at @civio

Some hot news about one of our (many) fights to improve institutional transparency: we've been trying to find out who the ministers' advisors are for over a year (and still waiting...). But that's enough. We’re taking this to court.

The whole odyssey, with #dataviz included (in Spanish):
https://civio.es/poder/2025/05/20/la-larga-travesia-de-mas-de-un-ano-para-saber-quienes-son-los-asesores-de-los-ministros/

Visualising Data with JavaScript Complete Bundle https://leanpub.com/b/visualising-data-with-javascript-complete-bundle by Peter Cook is the featured bundle of ebooks on the Leanpub homepage! https://leanpub.com #Graphics #D3Js #Javascript #WebDevelopment #DataScience #NodeJs #React #html #css #books #ebooks

The data flow for the new project so far is as follows:

Maintain the data collection in Strapi - all news clippings, people, org info etc are kept in the CMS

@astro pulls Strapi data as a collection and builds static JSON files as ReST routes

#Svelte + #d3js pull the data from the ReST endpoints and draw the visualization in the browser.

The actual site is fully static, but I get the benefit of a full db and a nice interface for the backend, that is hosted independently.

Learn how to build animated maps with D3.js and Svelte!

Perfect for data journalists, data nerds, and curious devs.

Link below!

Visualising Data with JavaScript Complete Bundle https://leanpub.com/b/visualising-data-with-javascript-complete-bundle by Peter Cook is the featured bundle of ebooks on the Leanpub homepage! https://leanpub.com #Graphics #D3Js #Javascript #WebDevelopment #DataScience #NodeJs #React #Html #Css

Seeking recommendations for a #WebMapping tutorial / course?

Slightly at sea on where to start.

- My current JS skill level is _extreme novice_.
- I don't have access to ArcGIS.
- Comfortable with #QGIS [*] and the #python #geospatial ecosystem (#geopandas #xarray #rasterio and plotting with #matplotlib)

Suggestions welcome. TIA.

* I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.

Visualising Data with JavaScript by Peter Cook is on sale on Leanpub! Its suggested price is $30.00; get it for $14.00 with this coupon: https://leanpub.com/sh/b7ehzgom #Graphics #D3Js #Javascript #WebDevelopment #DataScience

My visualisation of Australian fruit and veg seasonality made the Information is Beautiful awards longlist.

As the food bowl of Australia was flooded thanks to #CycloneAlfred, the information in the guide may be off for a bit until we recover!

#InformationIsBeautiful #DataViz #D3js

https://www.informationisbeautifulawards.com/showcase/6836-can-i-eat-it-yet-a-visual-guide-to-seasonal-fruit-and-veg

divergent boundaries sketch for today's creative coding group at the RC.

I started with the thought of an ocean floor splitting - a divergent boundary.

https://codepen.io/fractalkitty/full/QwWOwmZ

Unabhängig davon, ob Faktenchecks tatsächlich gelesen werden, quält mich die Frage: Wie lange hat man als Redaktion wohl Zeit, einen Faktencheck zu erarbeiten?

Hier ein Versuch das Aufmerksamkeitspotential für einen Faktencheck über Bluesky bzw Mastodon Posts abzubilden:

Visualising Data with JavaScript Complete Bundle https://leanpub.com/b/visualising-data-with-javascript-complete-bundle by Peter Cook is the featured bundle of ebooks on the Leanpub homepage! https://leanpub.com #Graphics #D3Js #Javascript #WebDevelopment #DataScience #NodeJs #React #html #css

I’m trying to digitally recreate a vintage style world map with two hemispheres (Old World and New World) and two polar regions and where the world is as it is known by Europeans in 1700. (So Abel Tasman had already seen the western coast of New Zealand and the southern tip of Tasmania.)

Next, I’ll add labels, but anachronistically using current names. (Nope, never “Gulf of America”.)

Data source: #NaturalEarth; rendering: HTML/SVG + #D3js

What's the *fastest* way to figure out which D3 submodule something lives in? e.g. instead of `import {median} from "d3"`, how do you find `import {median} from "d3-array"`? Assuming you don't have the "d3" package installed. Something better than browsing https://github.com/d3

c'est toujours pas le moment pour aller en vacances à Santorin …

petite visu interactive vite fait en #d3js, données live de l'USGS

http://iihm.imag.fr/blanch/misc/cyclades/viz/earthquake.html