Ryan Patrick Kyle

#rstats, #python, #JuliaLang, #datavisualization, and data-related topics...+cooking, music, photography.

[Wes McKinney @wesmckinn]

Vega + @ApacheArrow-accelerated analytics

[Maarten van Smeden @MaartenvSmeden]

Don't know who needs to hear this but by randomly splitting your sample into a training and test set, you have *not* performed an external validation

[Matia @MatiaFundazioa]

Hilo ⬇️:¡Gran iniciativa! 👏🪑
Ante la falta de respuesta del @c_aestrada a la petición de Manuel de poner un banco en la zona en la que pasea con su mujer. Este decidió construir e instalar un banco para que su mujer María, que está enferma, pudiese descansar durante sus paseos.

[Dr. Chris Rackauckas @ChrisRackauckas]

#julialang Pumas is an accepted standard by the FDA.

[Dean Attali @daattali]

Cool package alert! 🚨

{boomer} lets you see every tiny step/computation of a function call. Can be immensely helpful for debugging. Haven't tried it yet but looks awesome

https://t.co/VWXgCTCAFn

[Ryan Patrick Kyle @ryanpkyle]

@joshua_ulrich Sixth wave coffee

[Jeroen Ooms @opencpu]

Spent a year thinking about how to design a modern R repository system, hope I got it right 😅

[Tamara Munzner @tamaramunzner]

Revisited this project just now, re-upping so that everybody who's teaching visualization this term remembers it's a great source of material for lectures!

[Kevin Schneider @kMutagene]

Just released: Dash .NET @ v0.1.0-alpha8!

https://t.co/AMkqLJ1Pye

This version is a huge leap forward as it now supports multi output callbacks and greatly improves type safety on all fronts. I also put up new docs:

https://t.co/OSSKK5VaJf

#fsharp #dataviz @plotlygraphs

[Ryan Patrick Kyle @ryanpkyle]

🎉📒📈Nice contribution to https://t.co/7w4Fy43GsF by @GBeyerle! 👏🏼

[Kevin Schneider @kMutagene]

Dotnet interactive kernel formatter integration of https://t.co/noP8ove3qQ is live. Its extremely easy to set up a charting environment with https://t.co/noP8ove3qQ in a notebook now. Huge thanks to @GBeyerle!

[Ryan Patrick Kyle @ryanpkyle]

Neat.

[Henrik Bengtsson @henrikbengtsson]

#RStats community, really? It's been like 5 hours now and no one noticed the big news? 😛

https://t.co/c4OXTO0WCw

Thank you @LukeTierney4 @_lionelhenry @jimhester_ (who else?)

#pipypipy

[Ryan Patrick Kyle @ryanpkyle]

😍

[Jon Mease @jonmmease]

Really happy to announce this new skunkworks project I've been working on for the past few months. In HoloViews 0.14.0, it's now possible to display richly interactive @HoloViews objects in @plotlygraphs Dash apps.

[John Coene @jdatap]

Happy to reveal my book: "JavaScript for R"

Learn how to create your own data visualisation packages, improve your shiny applications, and use JavaScript for computations.

It will be available in print @CRC_MathStats

https://t.co/FgLftkYUwf

[Ryan Patrick Kyle @ryanpkyle]

Some interesting insights here into the way NAs for floating point numbers are handled within R.

[The R Foundation @[email protected] @_R_Foundation]

New R blog entry by Tomas Kalibera and Simon Urbanek. Will R work on Apple Silicon?

https://t.co/Dbu4ASP10j

[Ryan Patrick Kyle @ryanpkyle]

A huge thanks to @renkun_ken, @ikuyadeu0513, @andrew_cb2 and everyone else who has contributed to #RStats support in @code. Really neat to see the evolution of this project over the past year.

[Kun Ren @renkun_ken]

Improving RMarkdown support for #rstats in #vscode https://t.co/zZtIiv21Em

[Ryan Patrick Kyle @ryanpkyle]

And it even comes with a BASIC interpreter— in case you’re feeling doubly nostalgic.👌

[terence @researchremora]

A 1962 map of Seattle by the @USGS, with (very) exaggerated vertical relief.

#rayshader adventures, an #rstats tale

[Ryan Patrick Kyle @ryanpkyle]

Nice summary of tips to reduce computational time for analyses using #rstats (wish I'd known of this early in grad school) from @statsdatasci: https://t.co/TUvJyn92AU. Also worth adding to the basket of tricks: @MarkKlik's excellent fst package: https://t.co/UqIDM9Nmcn.

[Ryan Patrick Kyle @ryanpkyle]

Loving the experience of using @code with James Yu's LaTeX Workshop extension and #RStats language support. It's a dream come true; super easy to create, preview and update TikZ figures as I re-run my analyses without leaving a single UI. 😍