On Saturday I was at my second satRday conference this year, lucky me! I got to attend satRday Cardiff which was a great experience. I gave a talk about rOpenSci onboarding system of packages, find my slidedeck here and other slidedecks at this address. A lot of R goodness!
As I did in March for satRday Cape Town, I’ll use my own tweets to summarize the event, but this time, having switched my website to blogdown I can use Hugo shortcodes as recommended by Romain François!
A few words about the conference before storrifying away
One of my part-time employers, Locke Data, was a big sponsor of the event, so it had a nice stand including a giant chibi Steph Locke! I therefore got to meet my co-workers in the flesh, and several other people I had only interacted with online. I really enjoy socializing with fellow R addicts once in a while! The organisers did a great job, and made sure everyone felt welcomed. Maybe they had had a look at Steph Locke’s list of awesome event organiser resources! In any case, thanks David Parr and Paul Brennan!
Now, let’s have a look at the day as tweeted by me…
Getting my tweets
This part using
rtweet is similar to what I had done in March, except the hashtag changed.
my_tweets <- rtweet::get_timeline(user = "ma_salmon", n = 5000) my_satrday_tweets <- dplyr::filter(my_tweets, stringr::str_detect(text, "[sS]at[rR]day[cC][dD][fF]"), !is_retweet) my_satrday_tweets <- dplyr::arrange(my_satrday_tweets, created_at)
I obtained 22 tweets.
Embedding the tweets
As stated in the intro I used Hugo shortcodes: cf this section of the
blogdown book. I thought it’d be easy but having several tweets made it hard somehow: even when playing with chunk options and
purrr::map-ping and friends, I wasn’t able to use
blogdown::shortcode so I used its insides instead. Still, using Hugo shortcodes is easier than hacking html. Edited to add: after I opened an issue with the feature request in
blogdown dev version there’s now a
shortcodes function, vectorized version of
shortcode! Thanks Yihui! I changed the code below.
On my way to #satRdayCDF! R-celts united 😀— Maëlle Salmon 🐟 (@ma_salmon) June 23, 2018
.@Nujcharee shares useful #rstats resources for tidy text analysis— Maëlle Salmon 🐟 (@ma_salmon) June 23, 2018
📗📦https://t.co/bWrKmEpkMB by @drob * @juliasilge
📦 cleanNLP by @statsmaths
📦spacyR by @kenbenoit
📦hunspell by @rOpenSci's @opencpu #satRdayCDF
Slides of my #satRdayCDF talk about @rOpenSci onboarding of #rstats packageshttps://t.co/UWvWmBiOcE— Maëlle Salmon 🐟 (@ma_salmon) June 23, 2018
With an updated version of the faces of onboarding (as of last week). Can you 👀 @Nujcharee? 😉 pic.twitter.com/uZSW2a45ae
.@airtable has an API and there's an #rstats 📦 interfacing it,https://t.co/L8k6FbEzAm@AmyMcDougall96 is now walking us through an use case at #satRdayCDF , also see her blog post 🤓https://t.co/u5tSY0cVEo— Maëlle Salmon 🐟 (@ma_salmon) June 23, 2018
Very entertaining and informative explanations by @etalbot1291 of the research process 😉 and of the energy consumption profiles by deprivation profiles using smart energy meters data & https://t.co/8pensv2xhj#satRdayCDF pic.twitter.com/ruB2WbRG7p— Maëlle Salmon 🐟 (@ma_salmon) June 23, 2018