useR! 2019 is in the books. Though the 2019 edition of the biggest R show on the planet is over, it will likely take me months to digest all the inspiration. Step 1 en route to do so is this blog post which highlights 10 things I picked up from Toulouse.
1. “I came for the software and stayed for the community.” The above David Smith quote nutshells my top take away from the trip to France.
At KOF, we have recently introduced a REST Interface to conveniently automate data downloads. R users can now benefit from an even more convenient way to consume KOF data: the brand new ‘kofdata’ CRAN package. The package allows to download Swiss time series data and meta information through simple R functions.
Installing the package is a matter of:
install.packages("kofdata") Once you have installed the package you can download data and obtain R time series objects with a simple function call.
My data are not that big, should I store it in a database? I get this question from various flavors of researchers, data analysts and even from their new school version, data scientists. And almost every single time my advice is: yes, use a database, preferrably a SQL database. Here are five reasons why…
Admittedly, size does matter when it comes to data. But my advice to use an SQL database for your (scientific) time series data doesn’t even need the big data buzzword to back it up.
19 games into the new NBA season, the Golden State Warriors have yet to loose a game. Sports casters are searching for words to express their surprise and fascination. The NBA regular season finally has the kind of story it did not have in years. The reigning champs play a brand of basketball that makes many of us believe we are witnessing a paradigm shift in pro basketball. Plus the Dubs got Steph Curry who might become the first MVP to earn an MIP award.
Just when we thought we shook off the last pesky next-MJ-writer, this Steph Curry kid shows up to check the wingspan of our jaws. With Kobe Bryant announcing retirement recently and LeBron playing too much freight train style to draw comparisons we thought we were finally done with the search for the next MJ that annoyed basketball fans for more than a decade. If it’s just for the lack of words the basketball world has for #30’s play, the ultimate benchmark of modern basketball seems appropriate.