# Kmean clustering on text data

I have a large raw dataset on crime and I want to cluster the data using k-means, However, I get an Error when I enter this code:

Rawdata.3means <- kmeans(Rawdata, centers = 3).


Error:

Error in kmeans(Rawdata, centers = 3) :
more cluster centers than distinct data points.
In storage.mode(x) <- "double" : NAs introduced by coercion


How can I resolve this error?