Hi All, I am working on a data where the total row count is 250000+ and have approx. 20 variables. One of the var on which i need to summarize the data is Consignor i.e. seller name.
Now the issue here is after deleting all the duplicate names i still have 55000 unique customer name and i am not sure on how to summarize the data. Is there a possibility that i could create 8 or 10 groups based on the weight or booking they made from our company and eventually all 55000 customers would fall under these 10 groups. Then it could be easier for me to analyze in which group there is a variance on a month on month level. -- View this message in context: http://r.789695.n4.nabble.com/Grouping-in-R-tp4708800.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
