Distributing leaflet maps without a server

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Distributing confidential maps is hard

I’ve been trying, for a while now, to figure out how to use R to replace MapPoint–the challenge has been distributing a map of confidential data to non-R users in my office.

Making the maps isn’t THAT hard: leaflet makes it pretty easy to draw up a map and the ggmap library has the geocode() function, so that’s solved too.

The real problem is, after I build a leaflet map of the VP’s prospects with giving and wealth rating data, how do I send it the VP’s admin assistant so she can work out his travel plans? I can’t put that kind of confidential data on Rpubs. Running and administering a shiny server (not to mention building a shiny app) is too much work for one-off stuff like this–I just want to be able to save the file and email it.

Use saveWidget()

Turns out, the htmlwidgets library has a saveWidget() function. I did something like this:

That makes an html file and a directory of helper functions (css, javascript, etc) on my desktop. I zip the html and the directory up into a single zip file, email that off and call it a day.

It still requires internet access to download the map (by default from Open Street Maps)–I’d like to get that sorted out later on so development officers can throw the html file in Dropbox and open it up when they’re on the road–but for now, using saveWidget() seems to be the way to go!

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3D Scatterplot in R


Today, I was doing some analysis of a sub-group of our constituents and was trying to get an idea of how connected these folks felt to our school.

I thought I’d do that by running a summary of their lifetime giving, event attendance and number of development officer contacts:

That shows me the 5-number breakdown for each column. Obviously, I’ve got some serious outliers in there, somebody’s who’s attended over 200 events!

But I can’t tell if the person w/ 200+ events is the same person who’s given a ton of money or not, so I tried running some scatterplots comparing the numbers:

lifetime giving vs event attendance

That’s not awful, but I have to run a bunch of these to compare all three variables–if I could run a legitimately 3D scatterplot in R, I’d be able to see all three variables at once.

Turns out, it’s REALLY easy.

3D scatterplot

click to zoom, rotate and pan
(embedding a live htmlwidget in WordPress made me crazy)

That gives you a really cool, pannable 3D scatterplot so you can see how each person compares on all three variables at once.

To tell the truth, it’s a bit gimmicky (and what do you do when you’ve got more than three variables? you’re back in the same boat). Still, it’s just so cool and fun that I had to share!