Swimming + Data Science

Ordinarily posts on Swimming + Data Science have focused on swimming, or sometimes diving. Today though we’re going to visit some of our more gravity-afflicted colleagues and do a bit of cross-training.

SwimmeR version 0.7.2 is now available from CRAN. This new version contains some new features, plus a few changes to make it more user-friendly. Let me show you what I’ve been working on.

As you may have heard there’s a global pandemic going on. One of the more minor impacts of that pandemic has been the disruption of athletics, including swimming.

The second ISL season wrapped up a couple of weeks ago, meaning that now we’re in the off-season. I loved watching the CBC’s coverage of the ISL. The races were exciting, the swimmers seemed like they were having a great time, they were absolutely swimming great times.

If you’re only going to read one line of this post let it be this one: v0.6.0 of SwimmeR is now available from CRAN and it’s better now than ever before.

Today we’re going to use SwimmeR to build a large database of results - that’s the overall goal. Having a more specific goal in mind can be useful though, so here goes.

I’ve done an experiment regarding package downloads from CRAN (or the RStudio CRAN mirror at least) and now it’s time to share the results. When the first version (0.

Welcome back to Swimming + Data Science friends. Last week something exciting happened - two things actually! First, the International Swimming League kicked off its 2020 season in Budapest.

Welcome to another case study here at Swimming + Data Science. We’re returning the world of diving, a place we’ve visited before, in an attempt to answer the question “where are all the 10s?

Welcome to the final post in the State-Off Tournament series. This will be a battle royale meet, with each of the 8 State-Off states competing against all the others at once (or in swimming terms, this is an invitational style meet).