I will refrain from using new Apple APIs the year they are released. I will refrain from using new Apple APIs the year they are released. I will refrain from using new Apple APIs the year they are released. I will refrain from using new Apple APIs the year they are released. I will refrain from using new Apple APIs the year they are released. I will refrain from using new Apple APIs the year they are released. I will refrain from using new Apple APIs the year they are released. #observable
for anybody else who has trouble keeping track of #reactjs #hooks with dependencies and #mobx (or #mobxStateTree, in my case) #observable objects, i've got a sandbox that evolves as i run into things that confuse me
An interesting post on Periscopic using #observable (@observablehq) for #DataForGood
An interesting post on Periscopic using #observable @observablehq for #DataForGood
I think I'll need to stick with Python/Jupyter notebooks for teaching data science in the future, since those tools are so ubiquitous, but I'm tempted to integrate #Observable more. Curious if folks have thoughts, pros/cons on this front...
My main #datavis projects are currently all still in various states of embarrassing disarray, and to help me get unblocked on them I have recently been writing some #Observable notebooks exploring specific technical challenges I have been facing.
One of these addresses how to preserve state at the interrupt of complex transitions in #d3js. I learnt a lot along in writing it and I'm reasonably happy with the solution I came up with. You can read it here:
I've been asked to participate in an online panel event on "Predictions in Data Visualizations in 2023", hosted by @observablehq this coming Wednesday morning.
I think there are some spots left, but not sure.
It's certainly got me thinking about my hopes more than predictions.
Observable (https://observablehq.com/) blows my mind. The possibility to include reactivity into slides and course web pages etc is amazing. Most importantly, everything runs in the browser without any install.
Here is a very good playlist to get you started:
I would have preferred running Julia's Pluto notebooks (inspired by Observable), but that does not run in the browser.
Finally, RStudio's Quarto system supports Observable.
the city of chicago fulfills residents' service requests a lot faster in the central business and a lot slower on the far south side.
here is an analysis that lets you see the details and compare ward to ward.
Rwy wedi bod yn arbrofi gyda #D3 ac #Observable i geisio cynhyrchu #mapiau #Cymru (ddim yn mapio dim diddorol - ffiniau'n unig - gweler y lluniau). Dyma fy nodiadau - i mi fy hun yn bennaf ond efallai y gallent fod o ddiddordeb i eraill am y broses o'u cynhyrchu, gyda chyfeiriadau at becynnau #R http://statiaith.com/cymraeg/cyfrifiad2021/mapio_sgiliau/cofnodi_camau_mapio.html
2/ Volodymyr Agafonkin recently made a second data vis: "Visualizing Blackouts at Home in Kyiv". He writes about the vis and about how Ukrainians manage their daily lives here:
💙💛 Don't forget to donate to Ukraine!
1/ "Visualizing Air Raid Sirens in Ukraine" data vis by Volodymyr Agafonkin, creator of Leaflet. Read about the vis and get a glimpse into what life is like under such circumstances:
💙💛 Don't forget to donate to Ukraine!
Prepared for the Sigma geomatics Master at Toulouse, Univ. Jean-Jaurès and INP-ENSAT.
here’s an example of how to use STL for extracting the seasonal and trend components from a time series.
Siart rhyngweithio newydd: y nifer â sgiliau yn y Gymraeg #Cyfrifiad2011 https://statiaith.com/cymraeg/cyfrifiad2021/mapio_sgiliau/siartio_sgiliau_awdurdod.html Wedi bod yn dysgu defnyddio #Quarto ac #Observable !
Adding graticule labels on #d3js maps. https://observablehq.com/@saneef/graticule-labels-for-small-regions
Walking on the Famara beach.. you see lots of tiny pieces of plastic brought in by the ocean waves. I found a paper where they gathered microplastic on a Lanzarote beach and analyzed it..
I love it when I find data for a vis and then notice interesting info for the next project. From tomatoes to colonialism.. the GeoDist data had also colonialism info.
It turns out that only 9 countries have neither colonised nor have they been colonised. Some countries are missing in the dataset... for example Romania, which according to the communist history version I had in school was very awesome😅
1) https://starboard.gg/ basically does the same thing.
2) https://jupyter.org/ for #python notebooks
3) https://rmarkdown.rstudio.com/ for #Rstats
4) https://mdxjs.com/ for #JSX in #markdown documents
I once heard that tomatoes do travel a lot to get on our plate.. especially the cherry ones.. this really made me sad.. as living in Germany means kinda boring tomatoes
And it's true .. tomatoes seem to travel the world!
And discovering all the things that @neocarto made possible with Bertin.js is lots of fun! This changes the fact that I used to dislike making maps :D
Use it - and see the underlying JS #dataviz code - here:
#Python code and GitHub Actions creating the underlying data I believe is here:
Is it the approach to sync everything from everywhere to my instance?
If yes, wow - resources? redundancy? raft or other cluster protos for #consistency?
If no, how can I decide what to sync? I found asian toots on my english moderated server, what's the point if I cannot even read these?
It seems that 2016 was my most active year on the #birdsite
Get your graphs and more at https://observablehq.com/@observablehq/save-and-analyze-your-twitter-archive
Figured out a pattern for implementing tooltips on #Observable Plot line charts that show even if you don't manage to mouse over the line itself with pinpoint accuracy
The trick is to render the line twice: once as an opacity 0.01 super-wide line with a tooltip, and then again as a single solid line without one
(Obviously not much use if you're on a phone though - I'd love to have good mobile friendly tooltips there too)
Now using that here: https://observablehq.com/@simonw/mastodon-users-and-statuses-over-time
ITU estimates that about 66% of the world's population is using the internet. Looking at the split by gender and country, we still miss information for many countries.
From the data available, the difference between women with internet access and men is around 2.22% ..or 178 million women.
Public Toilets in Australia.. it just begged to be visualized
First .. I heard about @simon 's datasettes.. finding the dataset among the examples..
Then I stumbled upon Bertin.js by @neocarto which makes map plotting way more fun and observable with datasettes integration by Alex Garcia .
It's been the fastest map I've ever done thanks to all the awesome people making cool libraries out there!
Let's see if Mastodon can help me...
Does anyone have a simple proof-of-concept of using #threlte (#threejs in #svelte) to generate a 2D scatterplot? I'm struggling with the camera settings and mesh sizes... There is an #observable notebook on doing this using threejs directly, but the settings for camera are very different. (see https://observablehq.com/@grantcuster/using-three-js-for-2d-data-visualization)
Any help appreciated. Thank you!
Users of the dplyr R 📦 who want to add some Observable JS to their #Quarto docs may find this especially helpful, since it uses similar "verb" syntax.
Our planet 🌏 has lots of🐍 Python Developers .. but where do they live exactly?
Based on who filled in the 2021 Python Developers Survey the larger share is in North America .. surprise!
Want to have fun with scales? the chart is interactive and you can change the scale from square root and distort reality to your preference 😅