Yet another proposed four-word definition.
random:
determined by unobservable factors
Yet another proposed four-word definition.
random:
determined by unobservable factors
Is there any good practice for working with Observable and protocols?
I’d like to conform a protocol to Observable (so I could mock it in tests and previews, and pass around only protocol types in most of my code, not concrete types), but Observable macro seems to be geared towards working with concrete types
So what are your best practices and thoughts on Observable vs mocking/testing
I had a great time at @EdinbR last night, talking about interactive charts in R (and catching up with people I haven't seen in a while)
How to add tooltips and dropdowns
In R with {ggiraph}
By passing data from R to Observable
Slides: https://nrennie.rbind.io/talks/edinbR-interactive-charts/slides.html
Сигналы, роутинг, реактивность, Fusor приложение
В этом посте я опишу, как настроить современную маршрутизацию и использовать Signals для реактивного отключения выбранных ссылок.
It's Day 8 of the #30DayChartChallenge, and the prompt is "Histogram"
Another #RStats + Observable combination
Kept it simple, but figured out more about small multiples (facets), sorting categories, and colour palettes in Observable today!
It's Day 7 of the #30DayChartChallenge, and the prompt is "Outliers"
Data wrangling in #RStats
Scatter plot made with Observable
Static tooltips for annotations (+ dynamic tooltips for exploring)
For Day 3 of the #30DayChartChallenge, the prompt is "Circular"
Sunburst plot showing countries where 1% have >10% of wealth
Data formatting #RStats to create JSON data
Figured out how to edit an imported D3 chart in Observable
Quarto + #RStats + Observable =
New blog post from me about:
What is Observable?
Why should R users care?
How do you use both together to make interactive charts?
It's Day 1 of the #30DayChartChallenge, and the prompt is "Fractions"
Data from Our World in Data on wealth distribution
Data wrangling in #RStats
Waffle plot made with Observable
Part 2 of "Porting a Shiny App to Observable" is now up on our blog. If you missed part 1 we looked at the basics of how to construct an Observable app. In Part 2 we look at adding your own styles and at how to quickly deploy the app.
Another masterpiece from @jwolondon His #30DayMapChallenge 2024 is absolutely incredible. Very inspiring. #Observable #JavaScript #VintageCartography https://observablehq.com/@jwolondon/td
Neptyne source: Very interesting web spreadsheet with live Python code running in it. Company is shutting down and open source released the tech.
https://github.com/neptyneco/neptyne-spreadsheet/
#spreadsheet #programming #observable #notebooks #neptyne #python #+
Observable – удобный state-manager
Я вас понимаю. Да – еще один. Но давайте посмотрим, вдруг правда? Давайте определимся с тем, что такое удобно. Конечно, у нас разные представления об удобстве, поэтому я опишу свои с примерами из api react:
I would love to #work for #Observable or #OpenAI. Do I know anyone with connections at those companies?
Who's excited about observables in the browser like I am?
#reactive #observable #rxjs but not rxjs
For the F# code of today, let's wrap a websocket connection in an IObservable<T> Personally, I don't like fire and forget async things, but I kind of wanted just to get it out I'll figure out later when I clearly need to change this, and I won't be able
Analysis of Overture Maps POI quality by Wille Marcel (Aug 2023)
pyobsplot 0.5.1 is out.
pyobsplot is a #Python package allowing to use #Observable Plot to create #Jupyter widgets or static plots directly from Python with a syntax as close as possible to the JavaScript one.
This release improves performance of Plot.plot() and allows the Plot.mark().plot() shortcut syntax.