The University of Minnesota Biostatistics Department has graciously agreed to host TCRUG for March! Thanks! We will be in Room A110 of the Mayo Building. I'm going to provide a few maps here to help everyone find their way. Parking instructions can be found below. There will likely be a small charge to park, but the good news is that we'll have free pizza and drinks as usual thanks to our sponsors RStudio and Revolution Analytics!
Any problems with finding us tonight? Call or text Erik at 715-252-2103.
I will add to this map if I receive any tips on better parking than the garage labeled on the map. If parking in the garage, please remember your location when you exit.
If you find a metered spot near the Mayo building, please check what hours it is enforced and the maximum length of time you can plug the meter for.
I was told the Washington Ave. Ramp (not pointed out in my map above, but a popular large ramp on campus) may have event pricing tonight due to some athletic tournaments.
Finding Mayo Building
Finding Room A110 *within* Mayo:
For March, we're going to go with the same agenda as our canceled February meetup. We'll start by sharing any findings/approaches to the data challenge discussed here:
- Discussion board post (http://www.meetup.com/twincitiesrug/messages/boards/thread/41342122)
- Github repo with data and explanation (https://github.com/tcrug/public-transpo)
Winston Chang volunteered to give a talk about the dplyr package, which is the successor to the ever popular plyr package. See the announcement by RStudio (http://blog.rstudio.org/2014/01/17/introducing-dplyr/) for some background reading if you'd like.
Jay Jacobs will introduce the next data challenge, working with honeypot data (http://datadrivensecurity.info/blog/pages/dds-dataset-collection.html) (the "marx" data there) which we'll discuss approaches to in April.
Those are the only current topics on the list, so if you have something you'd like to share, please volunteer! It doesn't have to be long, in depth, or involved for you to prepare -- feel free to just go through a little demo or howto for as little as 5 minutes. Or, if you've got something longer, feel free to take as long as 30min.
Comment below for any questions, interesting R-related links, or to volunteer to speak. Pizza and drinks will be served, thanks to RStudio and Revolution Analytics!