For those of you who are interested in using R alongside Google Maps by using the packages geonames (www.geonames.org), RgoogleMaps, ggmap, loa and plotKML. Enjoy the slides of our presentation on this topic during the last RBelgium meetup. &nbs...

For those of you who are interested in using R alongside Google Maps by using the packages geonames (www.geonames.org), RgoogleMaps, ggmap, loa and plotKML. Enjoy the slides of our presentation on this topic during the last RBelgium meetup. &nbs...

At our most recent R user group meeting we were delighted to have presentations from Mark Lawson and Steve Hoang, both bioinformaticians at Hemoshear. All of the code used in both demos is in our Meetup’s GitHub repo.Making heatmaps in RSteve started with an overview of making heatmaps in R. Using the iris dataset, Steve demonstrated...

This week, in Istanbul, for the second training on data science, we’ve been discussing classification and regression models, but also visualisation. Including maps. And we did have a brief introduction to the leaflet package, devtools::install_github("rstudio/leaflet") require(leaflet) To see what can be done with that package, we will use one more time the John Snow’s cholera dataset, discussed in previous...

I’ve been seeing an uptick in static US “lower 48″ maps with “meh” projections this year, possibly caused by a flood of new folks resolving to learn R but using pretty old documentation or tutorials. I’ve also been seeing an uptick in folks needing to geocode US city/state to lat/lon. I thought I’d tackle both

In my previous post, I discussed how to use OpenStreetMaps (and standard plotting functions of R) to visualize John Snow’s dataset. But it is also possible to use Google Maps (and ggplot2 types of graphs). library(ggmap) get_london <- get_map(c(-.137,51.513), zoom=17) london <- ggmap(get_london) Again, the tricky part comes from the fact that the coordinate representation system, here, is not...

Today, Ryan Peek and Michele Tobias gave an introduction to making maps in R. Here’s the webcast: (Pardon the little scuffle at the beginning and as we switched computers halfway through. Still getting the hang of hangouts.) Resources: Download all of Ryan’s code and HTML files here. See Michele’s slides on Slideshare here. Code for Michele’s example maps...

A couple of days ago, I posted a recipe on the F1DataJunkie blog that described how to calculate track position from laptime data. Using that information, as well as additional derived columns such as the identity of, and time to, the cars immediately ahead of and behind a particular selected driver, both in terms of

Even though it’s still at version 0.4, the ggvis package has quite a bit of functionality and is highly useful for exploratory data analysis (EDA). I wanted to see how geographical visualizations would work under it, so I put together six examples that show how to use various features of ggvis for presenting static &