diff --git a/_14-ex.Rmd b/_14-ex.Rmd
index 3b571fb85..5aac9a907 100644
--- a/_14-ex.Rmd
+++ b/_14-ex.Rmd
@@ -14,7 +14,7 @@ library(spDataLarge)
 E1. Download the csv file containing inhabitant information for a 100 m cell resolution (https://www.zensus2011.de/SharedDocs/Downloads/DE/Pressemitteilung/DemografischeGrunddaten/csv_Bevoelkerung_100m_Gitter.zip?__blob=publicationFile&v=3).
 Please note that the unzipped file has a size of 1.23 GB.
 To read it into R, you can use `readr::read_csv`.
-This takes 30 seconds on a machine with 16-GB RAM.
+This takes 30 seconds on a machine with 16 GB RAM.
 `data.table::fread()` might be even faster, and returns an object of class `data.table()`.
 Use `dplyr::as_tibble()` to convert it into a tibble.
 Build an inhabitant raster, aggregate it to a cell resolution of 1 km, and compare the difference with the inhabitant raster (`inh`) we have created using class mean values.