Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Playing with a motivating intro example for STAT 447 (which returns next month), here is a graph of the most popular songs in the US over the last two weeks. Can you tell what season it is right now? 🙃
This builds on an example by @bkeegan but redone in #rstats.
We tend to labour away but an email may brighten the day:
"I just wanted to [...] thank you again for your contributions to the R community and to my work specifically. You have been gracious, communicative and patient with this and I really, really appreciate it."
#rstats
PSA: If you do frequent builds via `docker`, and notice less and less free diskspace, consider running
docker system prune
and compare the before/after with `docker system df`. I recovered almost 100 gb on my machine.
#rstats#datascience
Dear @capitalone your updated bill pay interface is inferior to the previous version. Not being able to suspect a single payment in a series, and not being able to edit a payment series are serious shortcomings.
#r2u thanks a "yuge" tech company for unwavering support downloading _over five-thousand CRAN #rstats packages as Ubuntu .deb binaries_ every day at the same time from our main mirror. Aren't cronjobs lovely? 😘
#r2u. Fast. Easy. Reliable. Also for $200 billion companies.
#r2u with expanded BioConductor support
On top of R 4.3.2 and BioC 3.18 support, we added over 100 more BioConductor packages bringing its total to almost 400 including the top 200+ by 'score'.
#rstats#genomics#r2u. Fast. Easy. Reliable. Pick All Three!
#r2u updated to R 4.3.2 and Bioconductor 3.18
Delivering 22100 CRAN and 279 BioConductor #Rstats packages via `install.packages()` through `apt` as .deb binaries with full and complete dependency resolution.
#r2u. Fast. Easy. Reliable. Pick All Three!
eddelbuettel.github.io/r2u
#r2u updated to R 4.3.2 and Bioconductor 3.18
Delivering 22100 CRAN and 279 BioConductor #Rstats packages via `install.packages()` through `apt` as .deb binaries with full and complete dependency resolution.
#r2u. Fast. Easy. Reliable. Pick All Three!
eddelbuettel.github.io/r2u