[This article was first published on R – What You're Doing Is Rather Desperate, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The recent ABC News article Australia’s pollution mapped by postcode reveals nation’s dirty truth is interesting. It contains a searchable table, which is useful if you want to look up your own suburb. However, I was left wanting more: specifically, the raw data and some nice maps.
So here’s how I got them, using R.
The full details are in this Github repository. There you’ll find the code to generate this report.
Essentially, the procedure goes like this:
- Use
rvest
to create a data frame from the data table in the online article - Clean and pre-process the data using
dplyr
- Join the pollution data with geospatial data derived from a shapefile of Australian postal areas
- Filter by postcode range for the city of interest
- And finally plot maps using
ggplot2
Result: maps, like the one on the right. I sometimes think R makes this kind of thing almost too easy.
To leave a comment for the author, please follow the link and comment on their blog: R – What You're Doing Is Rather Desperate.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.