How to Make a Grid Map with Histograms in R, with ggplot
Layout multiple charts in a single view. Then adjust the scales appropriately for maximum comparability and a unified graphic.
World maps that show population by longitude and latitude are almost like a meme in cartography and data visualization. But in this tutorial, you take this a step further, and make a map that shows population by longitude and latitude at the country level.
To access this full tutorial and download the source code you must be a member. (If you are already a member, log in here.)
Get instant access to this tutorial and over a hundred more, plus courses, guides, and additional resources.
You'll get unlimited access to hundreds of hours worth of step-by-step visualization courses and tutorials for insight and presentation — all while supporting an independent site. Source code and data is included so that you can more easily apply what you learn in your own work.
The tutorials are very helpful to move from "Oooo, cool!" to how to actually DO the cool.
Members also recieve a weekly newsletter, The Process. Keep up-to-date on visualization tools, the rules, and the guidelines and how they all work together in practice.
See samples of everything you gain access to:
More Tutorials See All →
How to Use IPUMS Extraction Tools to Download Survey Data
Almost all of my visualization projects that use data from the Census Bureau comes via IPUMS. In this guide, I provide five steps to getting the data you need using their tools.
How to Make a Contour Map
Filled contour plots are useful for looking at density across two dimensions and are often used to visualize geographic data. It’s straightforward to make them in R — once you get your data in the right format, that is.
Loading Data and Basic Formatting in R
It might not be sexy, but you have to load your data and get it in the right format before you can visualize it. Here are the basics, which might be all you need.