Experience with clinical audit, quality improvement, BI and public health.
Likes #RStats and #dataviz
Formerly HighlandR , still at
https://johnmackintosh.com
The highest value was 212,280 (Dec 2022).
#rstats #ggplot2
The highest value was 212,280 (Dec 2022).
#rstats #ggplot2
#verisimilitude #rstats #ggplot2
#verisimilitude #rstats #ggplot2
Firstly, it's my first dabble with shinylive.
Secondly, apart from shiny itself, it's all base R, no other packages.
I do need to brush up on my shiny layouts though..
#rstats
Firstly, it's my first dabble with shinylive.
Secondly, apart from shiny itself, it's all base R, no other packages.
I do need to brush up on my shiny layouts though..
#rstats
Old links should still work if you replace the domain.
Or maybe not, but just head over and I'm sure you'll find what you need.
johnmackintosh.com
Old links should still work if you replace the domain.
Or maybe not, but just head over and I'm sure you'll find what you need.
johnmackintosh.com
Thanks guys @rpodcast.bsky.social
📓 Monochrome visualisation @nrennie.bsky.social
🧹 Tidying census files @johnmackintosh.bsky.social
📱 Why Rlinguo? @colinfay.bsky.social
h/t @jonocarroll.fosstodon.org.ap.brid.gy & @mike-thomas.bsky.social 🙏
#RStats
Thanks guys @rpodcast.bsky.social
Anyone know of a way to download *all* your GitHub gists (including private ones) using the GitHub API or (?)R package?
Saw an old blog post that had a method bit it maxed out at 30 gists, and I have way more than that
Anyone know of a way to download *all* your GitHub gists (including private ones) using the GitHub API or (?)R package?
Saw an old blog post that had a method bit it maxed out at 30 gists, and I have way more than that
I tidied up a bunch of horribly formatted open data CSV files so you don't have to.
A strategy for dealing with many irregularly dimensioned text files, featuring #rdatatable (obvs), #purrr, #arrow and #duckdb
johnmackintosh.net/blog/rstats/...
I tidied up a bunch of horribly formatted open data CSV files so you don't have to.
A strategy for dealing with many irregularly dimensioned text files, featuring #rdatatable (obvs), #purrr, #arrow and #duckdb
johnmackintosh.net/blog/rstats/...
jennajordan.me/blog/transfo...
jennajordan.me/blog/transfo...
https://jennajordan.me/blog/analytical-data-warehouses
https://jennajordan.me/blog/analytical-data-warehouses
1. data.table is too hard to learn
2. It's only for really large datasets
Neither is true
(Ignore the CRAN not ok, we are working on some R C API changes still)
1. data.table is too hard to learn
2. It's only for really large datasets
Neither is true
Wondered why my notifications were going nuts over on Linkedin:
Yan Holtz's data-to-viz site is fantastic and I'm always pleased to see the reaction this plot gets.
www.linkedin.com/posts/yan-ho...
Incidentally, a "hot-take" in the replies was that this could have been a line chart. How?
Wondered why my notifications were going nuts over on Linkedin:
Yan Holtz's data-to-viz site is fantastic and I'm always pleased to see the reaction this plot gets.
www.linkedin.com/posts/yan-ho...
Incidentally, a "hot-take" in the replies was that this could have been a line chart. How?
Has anyone got a good workflow for collaborating on a Word document produced via Rmd (via {officedown})
Caveats : only one R user
Multiple SMEs
No git / source control
Many rounds of redrafts / changes as new requirements evolve
Changes are marked up by SMEs in Word via track changes
Has anyone got a good workflow for collaborating on a Word document produced via Rmd (via {officedown})
Caveats : only one R user
Multiple SMEs
No git / source control
Many rounds of redrafts / changes as new requirements evolve
Changes are marked up by SMEs in Word via track changes