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!
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.
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:
Trabajo intenso en equipo con super Ter a la cabeza (que se ha pegado tremendo currazo 
), sacando a la luz y poniendo en contexto todos los factores problemáticos del TVR.
@dcabo, Adri y yo, tras el simulador de riesgo y las visualizaciones 
Visualizing Organizational Structures with TreeSpider: A D3.js and TypeScript Marvel
TreeSpider brings a fresh approach to visualizing organizational structures with its customizable charts built on D3.js and TypeScript. This powerful tool enables developers to seamlessly integrate an...
Elevate Your Data Visualization with Rosen: A Lightweight React Charting Library
Discover how Rosen, a new React charting library built on D3.js and Tailwind, simplifies data visualization for developers. With easy integration and robust features, it's time to enhance your applica...
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
Despite living in an archipelagic country, I still haven’t stepped foot on a lot of islands. 
Maybe Bohol, Palawan, or Taiwan could be next?
(This poster concept is an alternative take on those travel lists/maps where you list islands/continents instead of countries.)
Topic modeling, histoire de #D3js, secret statistique et inégalités de revenus.
https://write.apreslanu.it/pac/weeknotes-2025-5
Bonne lecture
Back in November I finally started learning Javascript and #D3js for #VizForSocialGood's #dataviz project with the Association for the Prevention of Torture: https://www.gmschroeder.com/data_vis/vfsg-apt-blog/ Here are a couple static versions of my visualisations, which show the growing adoption of different legal measures for preventing torture.
I'm using Genuary to continue learning Javascript - late submissions TBA!
#30DayMapChallenge 
Day 
: The blue planet
Belated entry and catching up coz I needed a break! 
Anyway, I figured doing a variant of my North American lakes map from 2023 but for the #Philippines 
would be perfect for this day’s theme: https://en.osm.town/@seav/111382405567490169
Sources and tools: Map data from #OpenStreetMap; top ten lakes from #Wikipedia; rendering via #D3js using an azimuthal equal-area projection for each of the lakes.
I love #d3js force network visualizations, but usually with larger networks nodes tend to go all over the place. Here is a simple auto-fit trick that you can use to keep all nodes in view:
https://observablehq.com/@john-guerra/force-auto-fit
#dataviz @observablehq
Because the rhombic triacontahedron, which consists of 30 identical rhombi, is a Catalan solid, it means that it has an inscribed sphere (aka insphere) which makes creating a world map easy: just render a gnomonic map for each face!
So I used #D3js to render 30 different gnomonic maps and quite a bit of trigonometric skills to assemble the final map as a polyhedral net.
I then printed it, cut it, folded it, taped it, et voilà! I now have a nifty 30-sided globe! 
2/2
