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Bilty format in excel for R&D

in this video we will discuss how to read data contained in a Microsoft Excel file into R for use in other analyses the first step is of course to have your data in an Excel file I I have such an ex Excel file here called AMS survey. xlsx and it is located in my directory that is used for an R project I have called videos for R so it's on my Google Drive in the videos for our file that means I'm able to see the file that I need directly from the file viewer built into our studio you could see the the Excel file just by clicking on this that will start Excel for you and display the file our goal is to get these data into R now in order to do that we have to make sure this file is in the correct format first of all the file can contain no extraneous information in this case the information about the source of the data the website from which it was obtained should not be be in the file that will be red into R so I'll just delete those rows secondly the variable names that are in it in the first row type sex citizenship and these year ranges should be legal R names for variables these first three are legal but these two don't start with with a letter and so I'll I'll just change these names year 08 and I'll call this year 11 it's a good idea although not always always necessary to ensure that the variable names have no blank spaces and they have no mathematical or special characters like percent signs or hash marks as these could in some cases confuse R so this is a file that can now be read directly into R to do that we need to change the format so I'll go to the file menu in Excel select save as in the save as dialogue I'll change the file by changing the save as type to CSV comma separated value file this is a human readable file that's also going to be be readable by R uh if you're using a math Ma you you could have used the Mac CSV it doesn't really make any difference so I'll save the file and Excel gives me a couple extraneous dialogue boxes that I'll just dismiss and now you could see we have a new file in our our studio directory called AMS survey. CSV and this is the file that we could read directly into R and here here's the way that's done I'm going to give the input a name I'll call it called call it AMS survey again and the command is to read the CSV file and the name of the file is Ams survey. C CSV you'll notice in the in in the environment window it now says I have a data frame with 24 observations on five variables the first is type A factor with levels given by the names we saw sex is a factor with levels male and female citizenship is is a factor with levels non us and us and the other two variables are integers these are the counts of the number number of in of individuals who who earned a PhD degree in mathematical Sciences in the year given um cross-classified by these other variables you you you you can now compute with these in the usual ways for example you could get a table of year 08 cross classified by type sect and citizenship from AMS survey and you could work with these the these data in in other ways as well

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