So I’m working in this table:
| Raumeinheit | Langzeitarbeitslose |
|---|---|
| Hamburg | 33,23 |
| Berlin | 44,56 |
I’m trying to calculate the mean of Langzeitarbeitslose but I can’t because
is.numeric
comes out as false because the column Langzeitarbeitslose is defined as character.
I think this might be because here in Germany we use "," to show decimals and not "."
I already tried
as.numeric(gsub(",", ".", West_data$Langzeitarbeitslose))
that gave me a working table in the console preview but when I looked at the table with
view(West_Data)
It still showed the Decimals of Langzeitarbeitslose seperated with ‘,’ and
is.numeric(West_Data$Langzeitarbeitslose)
came back as false.
>Solution :
I guess you need to assign the result of as.numeric(gsub(",", ".", West_data$Langzeitarbeitslose)) to the column West_data$Langzeitarbeitslose
West_data$Langzeitarbeitslose <- as.numeric(gsub(",", ".", West_data$Langzeitarbeitslose))
The result of print(West_data) will be:
Raumeinheit Langzeitarbeitslose
1 Hamburg 33.23
2 Berlin 44.56
The cast of datatype can be checked here:
> str(West_data)
'data.frame': 2 obs. of 2 variables:
$ Raumeinheit : chr "Hamburg" "Berlin"
$ Langzeitarbeitslose: num 33.2 44.6