ggplot2 Coordinate Systems

Lea Waniek walks us through coordinate systems in ggplot2:

The coordinate system can be manipulated by adding one of ggplot’s different coordinate systems. When you are imagining a coordinate system, you are most likely thinking of a Cartesian one. The Cartesian coordinate system combines x and y dimension orthogonally and is ggplots default (coord_cartesian).

There also are several varaitions of the familiar Cartesian coordinate system in ggplot, namely coord_fixedcoord_flip and coord_trans. For all of them, the displayed section of the data can be specified by defining the maximal value depicted on the x (xlim =) and y (ylim =) axis. This allows to “zoom in” or “zoom out” of a plot. It is a great advantage, that all manipulations of the coordinate system only alter the depiction of the data but not the data itself.

I tend to avoid polar coordinates, but that’s mostly because I don’t work in a space which benefits from it.

Related Posts

Dealing With Zero-Value Rows In dplyr

Kieran Healy shows an oddity in dplyr when dealing with zero-value records: That looks fine. You can see in each panel the 2015 column is 100% Men. If we were working on this a bit longer we’d polish up the x-axis so that the dates were centered under the columns. But as an exploratory plot it’s […]

Read More

Running R Scripts In Power BI’s Query Editor

Brad Lewellyn walks us through the process of executing an R script against a table in Power Query: If you aren’t able to open the R Script Editor, check out our previous post, Getting Started with R Scripts.  While it’s possible to develop and test code using the built-in R Script Editor, it’s not great.  Unfortunately, […]

Read More


May 2018
« Apr Jun »