Many R programmers need to create custom data maps in R. By "custom maps" I don't mean changing the colors of the map, or other cosmetic tweaks. Instead, I mean mapping a custom geography such as voting districts, neighborhoods and so on. These maps are often distributed as shapefiles. Shapefiles often confuse and frustrate even veteran R programmers.
The good news is this: shapefiles don't have to be confusing or hard to work with. Even better, when you become comfortable with them, it opens up countless doors in data analysis for you.
This course centers around a single example: mapping noise complaints in San Francisco. San Francisco is divided into "Supervisor Districts", and together we will create a choropleth map of this data:
There are several steps involved in creating this map, and I carefully walk you through each one of them.
Satisfaction Guaranteed: If you buy the course, watch the videos, and don't feel like you learned something useful, I will give you a full refund.
Ari Lamstein is a software engineer and data analyst in San Francisco, California. He is the author of several popular R packages, including Choroplethr. He has spoken internationally on mapping demographic statistics in R.