2/21/2023 0 Comments Import data sas university edition![]() If you do not,then your modifications are lost when you end your session.In addition, some of the SAS data sets that are available from the SAS server might betoo large to download locally unless you have modified them to make them smaller. To access the SAS data sets:Start SAS OnDemand for Academics: Enterprise Guide and log on.Select File Open Data.Select Servers.Double click SAS Apps.Double click Libraries.Double click the appropriate library (such as MAPS, SASHELP, or the library thatyou have assigned using a LIBNAME statement).Double click the SAS data set that you want to use.Note: If you modify a SAS data set that exists on the SAS server and you want to savethat SAS data set, then you must download the data set to a local drive. The code below shows how to import the shoes.xlsx file and create the SAS dataset work.shoes with PROC IMPORT.Inaddition, if course files and SAS data sets have been uploaded to the SAS server, thenyou can access these SAS data sets as well. DBMS stands for Database Management Systems and specifies the file type of data to import. The third argument of the PROC IMPORT procedure is the DBMS=-argument. This argument identifies the name of the SAS output dataset. The second argument of the PROC IMPORT procedure is the OUT=-argument. This information must be enclosed in double-quotes. This argument specifies the location, file name, and file extension of the Excel file. The first argument of the PROC IMPORT procedure is the FILE=-argument. ![]() Define the location, file name, and file extension These are the steps to import an Excel File in SAS:ġ. How to Import an Excel File into SAS with PROC IMPORT ![]() For example, you can specify the sheet you want to import and start the import from the second row. ![]() The PROC IMPORT procedure provides you great flexibility. The easiest method to import an Excel File into SAS is with PROC IMPORT. ![]() Import an Excel File into SAS with PROC IMPORT To follow the examples in this article, you could export this dataset as an Excel file first and save it as “ shoes.xlsx“. The file above is based on the SHOES dataset from the SASHELP library. ![]()
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