Philipp

[Allison Horst @allison_horst]

git fetch versus git pull 🐊🐛

Thanks @apreshill for feedback & brainstorming with me on this one!

[Philipp @phillyooo]

@hadleywickham @gh_firefly @idontknomics It kept on surprising me that this wasn’t possible… and it had been all along… should have browsed the docs more!

[Philipp @phillyooo]

@hadleywickham @idontknomics Essentially, omitting the into argument, so allowing the below, where the result would be a df with col names like col_1, col_2,… and the number of new cols being inferred from the max nr. of separators
df <- data.frame(x = c(NA, "x.y", "x.z.1", "y.z.2"))
df %>% separate(x)

[Emily Riederer @EmilyRiederer]

Many #rstats Shiny users query database, but fewer have managed their own. This becomes necessary if your app needs persistent storage.

In this post, I share some tips for creating DBs for use with Shiny and what (don't know that) you need to know

https://t.co/SChIbTyq6V

(1/2)

[Hadley Wickham @hadleywickham]

Go home excel, you're drunk

[XKCD Comic @xkcdComic]

Next Slide Please https://t.co/mm2Vhurrbw https://t.co/ITdac4AQ80

[Posit PBC @posit_pbc]

{clock} is a new package providing a comprehensive set of tools for working with date-times. It is packed with features, including utilities for: parsing, formatting, arithmetic, rounding, and extraction/updating of individual components.

[Thomas Lin Pedersen @thomasp85]

I am super happy to announce that ggfx is now on CRAN. Some may disagree out of misguided “taste”, but I believe this is a huge step forward for the graphics system in #rstats https://t.co/psyCmv5ZdU

[[email protected] @cpsievert]

📢 I'm thrilled to share that shiny 1.6.0 is now on CRAN!
🎉

This release makes so much easier to create beautiful, performant, and accessible #rshiny #rstats apps.

https://t.co/OwRSkCbzKK

[Philipp @phillyooo]

@thomasp85 @edzerpebesma is_deep()

[mikefc @coolbutuseless]

Introducing 'dplyr-cli' - a method for manipulating CSV files in bash/shell/terminal using #dplyr

Ever wanted to run a quick filter on a CSV file in the terminal without switching to #RStats? 'dplyr-cli' is for you!

github: https://t.co/YY3Ql36gGF
post: https://t.co/sS7nCnZpJb

[Will Chase @W_R_Chase]

I interviewed @hadleywickham about the history of R and it's role in data visualization! Big thanks to Hadley for giving this interview! I thoroughly enjoyed it and think there's some pretty great insights here. #rstats https://t.co/XoWEZ4FVBh

[XKCD Comic @xkcdComic]

Pathogen Resistance https://t.co/yE385vzG1f https://t.co/drYIKf3mm9

[Ludovic T. @ltave7]

First try using pseudo modern/material design in a @tableau dashboard. The use case is a personal dashboard for a sales person. z-order is first used to organize information 1/2

Link: https://t.co/NfqUtkMRNo

[Hadley Wickham @hadleywickham]

dplyr 1.0.0 is coming soon 🥳 Learn more about what's changing, how our lifecycle model works, and how you can help at https://t.co/8fZ3Y7P9r8 then stay tuned for more blog posts about specific features #rstats

[Philipp @phillyooo]

@_johnmackintosh Watch @rstudio conference videos and follow some of their staff on twitter. And https://t.co/T770WzoEkY

[Will Chase @W_R_Chase]

Slides from my #rstudioconf talk are up on my site! https://t.co/Jrh0jbtmzD

[Philipp @phillyooo]

@LadyDreaSeattle That's how i always imagine a data lake to look like if it were a physical thing in the real world

[Dataquest @dataquestio]

Sometimes you can't get away from Excel. But you can make it faster using your Python skills with xlwings:

https://t.co/QuPanfONBD

[Thomas Lin Pedersen @thomasp85]

🎉🎉🎉 I am beyond excited to finally release ggraph v2, a major upgrade that has been in the works for years. If you are into #dataviz and network analysis, this is for you! #rstats https://t.co/CaiBqHLTfH