KML is a really common format, it is not usually one that GIS professionals use for a number of reasons but it is really handy for passing GIS data to online mapping systems, portable devices and it can even be created with a text editor.  If you want more information on it then the wiki page on Keyhole Markup Language (yes, that is the actual name) and Google Developers KML page are good places to start. Using KML with QGIS is super simple however there are a few tricks, particularly with KMZ files .  Here is a brief tutorial on opening KML files in QGIS. So getting them into QGIS is fine but sometimes I need to use the data within a KML file and QGIS doesn't deal with that very well as all the descriptive fields are groups in an HTML table in a single field.  While I'm sure it is possible to parse this in QGIS, here is a script in R since that was where I needed the data anyway. Save the KML file as a .csv file Open the file in R with read.csv ...

I had been looking for a good coding project for a while, to try and build some confidence before I attempted a hackathon, when a friend posted a link to a great map based representation of the  Australian Marriage Law Postal Survey results.  It was a nice clean map that provided a mouse-over pop-up of the yes/no percentage for each electorate which I found it really interesting, but I also wanted some more information.  Information on things like the number of voters, the member holding that seat, the party they are from, what suburbs where in each electorate, and maybe even some census data.  Thus the project was formed. As always, the 80:20 rule was proved true when I got the map up with the basic info the following day, but being a perfectionist (with a small child and a few other project on the go), it has taken me quite a bit longer to show it off but here it is: 2017 Australian Marriage Law Postal Survey - Results Map (The site is hosted on shinyapps.i...