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  • Creating a new coloumn for date info with specific date format

    - by Ayan
    Dear All I am working with a file which has few years data and I am trying to create an aditional coloumn that reads the year and month info from the date coloumn (e.g. 01/01/1997 12:00) and create a new coloumn with month and year together(e.g. Jan-97). I am not sure how to proceed with this but what I am trying to code is the coloumn with name "new_date" in the following picture: my sample data = > dput(df) structure(list(date = structure(c(1L, 4L, 7L, 2L, 5L, 8L, 3L, 6L, 9L), .Label = c("01/01/1997 12:00", "01/01/1998 15:00", "01/01/1999 18:00", "01/02/1997 13:00", "01/02/1998 16:00", "01/02/1999 19:00", "01/03/1997 14:00", "01/03/1998 17:00", "01/03/1999 19:00"), class = "factor"), value = c(29L, 31L, 42L, 42L, 52L, 61L, 57L, 55L, 56L)), .Names = c("date", "value"), row.names = c(NA, -9L), class = "data.frame") I would really appreciate if you could advise me about how should I proceed with this, Many thanks, Ayan

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  • How to manage and improve web application with 50 customers?

    - by Muhammet Göktürk Ayan
    First of all, sorry for my English. We've developed a Web Application using ASP.NET and Sql Server. We've started selling it and of course are still continually improving and developing it. The question is, how do we go about updating each client's version of the site? We have, maybe, 50 customers. 50 different folders and 50 different db's sounds like a bad idea. Is there any known method for solving this kind of scenario? For Explain: We are developing a Crm, for 50 companies. They will have 10 users maybe. It makes 500 users and their customers and products.

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