Mapping German Postal Codes With R

Kevin Feasel

2016-05-18

R

Achim Rumberger shows how to map German postal codes using R:

Just at this time Ari published his webinar about getting shape files into R. Which also includes a introduction to shape files to get you going, if you are new to it, as I am. I remembered Ari from his mail course introducing his great R-package (choroplethr). By the way this is a terrible name, being a biologist by heart, I always type “chloroplethr”, as in “chlorophyll”, and this is not found by the R package manager. [Editor’s note: I agree!]

Next question, where do I get the shapefiles, describing Germany? A major search engine was of great help here. http://www.suche-postleitzahl.org/downloads?download=zuordnung_plz_ort.csv . Germany has some 8700 zip code areas, so expect some time for rendering the file, if you do on your computer. Right on this side one can also find a dataset which might act as a useful warm up practice to display statistical data in a geographical context. Other sources are https://datahub.io/de/dataset/postal-codes-de

This is really cool.

Related Posts

Polishing Uncalibrated Models

Nina Zumel takes an uncalibrated random forest model and applies a calibration technique to improve the estimate on one variable: In the previous article in this series, we showed that common ensemble models like random forest and gradient boosting are uncalibrated: they are not guaranteed to estimate aggregates or rollups of the data in an unbiased way. […]

Read More

Generating Excel Spreadsheets from Shiny

Richard Hill and Andy Merlino show how you can export data from a Shiny app into Excel: R is great for report generation. Shiny allows us to easily create web apps that generate a variety of reports with R. This post details a demo Shiny app that generates an Excel report, a PowerPoint report, and a PDF […]

Read More

Categories

May 2016
MTWTFSS
« Apr Jun »
 1
2345678
9101112131415
16171819202122
23242526272829
3031