Clawed Z. Eagle

AU ‘19 / fan of politics, sports, transportation & urban planning, and data science #rstats

[Clawed Z. Eagle @_TylerSanders]

Oh hey that’s me!

[Amazon Web Services @awscloud]

Have an election event coming up that can’t fail? 🚀⏱🗳

Learn how #AWS Countdown Premium helps organizations like @redoakstrategic optimize their cloud infrastructure and get rapid support for their business-critical events.

@AWSSupport 👉 https://t.co/yhWrIEMXg5

[Amazon Web Services @awscloud]

Have an election event coming up that can’t fail? 🚀⏱🗳

Learn how #AWS Countdown Premium helps organizations like @redoakstrategic optimize their cloud infrastructure and get rapid support for their business-critical events.

@AWSSupport 👉 https://t.co/yhWrIEMXg5

[Lenny Bronner @lennybronner]

fwiw, on the data front the Iowa GOP caucus was one of the best prepared elections I have worked on. They released live precinct results, published a list of final precinct names a week (!) in advance and ran daily tests of their results distribution system.

[Metro Forward @wmata]

We’re beta launching #MetroPulse (previously MetroMeter), an interactive web tool that gives real-time customer info + system performance data. #MetroPulse demonstrates our commitment to improving customer experience & transparency. Explore it now: https://t.co/x8MdtoG0W5 #wmata

[Epidaurus Health @EpidaurusHealth]

Pleased to announce the kickstart of seed round with $1M in non-dilutive funds from @NSF to accelerate development of our #blockchain #HealthTech solution for #PriorAuth. Let's #FixPriorAuth and support better #healthcare.

https://t.co/9Z4qcS3LH6

[Rodger Sherman @rodger]

Purdue is ranked #1 in effective height on Kenpom. Fairleigh Dickinson is ranked #363 out of 363. Literal David v Goliath

(And FDU currently leads)

[Victor Porcelli @victor_porcelli]

Hey #rstats users -- any advice on how to create a variance analysis model like PROC VARCOMP in SAS (Equation 1 in this link: https://t.co/B8Bp32VpZS) in R? I think it's something like a 3-way mixed model w/random effects but not sure 😬@rstatstweet @rstats4ds @rstats_tweets

[Clawed Z. Eagle @_TylerSanders]

@VictorP_44 Sci-fi…what ridiculous auto correct. Thanks Elon

[Clawed Z. Eagle @_TylerSanders]

@VictorP_44 Seriously, as a true friend I never read or like any of these. P.S. seems like sci-do to me 🤷‍♂️

[Clawed Z. Eagle @_TylerSanders]

@colin_fraser Good Q I’ve only ever tried it with Magrittr pipe so possibly another limitation vs your fun

[Clawed Z. Eagle @_TylerSanders]

@colin_fraser do_if() is a great idea, a bit sloppy but I’ve found myself using the same pattern a “conditional pipe” a lot. It works the same way with {if(logical condition) function else .} %>%

It does block the . usage but ends up making my code more compact/flexible. do_if() looks cleaner

[Clawed Z. Eagle @_TylerSanders]

@hlynur @rstats4ds I believe the newest version can handle dplyr::glimpse() if you just need a quick view though I know that is a different output than head(10)

[SportsCenter @SportsCenter]

50.68! SYDNEY MCLAUGHLIN SETS A NEW WORLD RECORD IN THE 400M HURDLES 🙌

(via @NBCOlympics)

[Victor Porcelli @victor_porcelli]

Have been stumped on this one: any #RStats users know a ~relatively~ easy way to place text side-by-side a ggplot figure when rendering an rmd to pdf? #tidyverse #dplyr #rstudio
Would want the output to look similar to this:

[Clawed Z. Eagle @_TylerSanders]

@VictorP_44

[SportsCenter @SportsCenter]

Rooting for your friends to succeed >>>

[Clawed Z. Eagle @_TylerSanders]

@ChampMath That’s really thoughtful stuff-thank you for sharing!

[Clawed Z. Eagle @_TylerSanders]

@drdavidtang @rstats4ds If your data and use case allow you could consider pivot_longer([selected columns]), group by the “names_to” column and then summarizing on the “values_to” column which would output your grouped summaries in one go

[Council of DC @councilofdc]

46 years ago, on this date in 1976, @wmata Metrorail service began operating