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TIP: With respect to dates, it’s helpful to ensure that each date column in excel is formatted properly and consistent prior to initiating an import into SAS. See also ODS, PROC IMPORT, PROC EXPORT and SAS Enterprise Guide.īe aware of most common data issues when converting - Best to help resolve using PROC IMPORT: Mixed data type in column, variable type/length, dates, missing values, number of variables/records and header row
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Special characters such as : or, may cause character length to be smaller which may truncate values Special characters such as : or, is better converted instead of being reduced to smaller length May reduce truncation of character variables if length is less for first few rows May have longer length of character variables even if length is less for first few rows Numeric values are treated as numeric varsĭate values as 20150101 treated as character varsĭate values as 20150101 treated as numeric non-date varsĭate values as treated as numeric date vars Numeric values are treated as character vars General Advantage/Disadvantages of using PROC IMPORT over CSV See SAS ODS Excel Tip Sheet, SAS on the PC and SAS reference sheet. In general, when needing to create a SAS dataset in UNIX, one of the best methods is to first create a CSV file and use DATA step to read the the CSV file. See Reading and Writing to Excel files training session. Note that this notation is also acceptable as valid variable names within macro calls. Excel keeps the spaces between the words in the variable names such as 'variable name'n for numeric variables unless the VALIDNAME=V7 option is set. One of the advantages of using CSV file over excel is that column names of two or more words will automatically have an '_' between the words such as variable_name. SAS ® Access to Microsoft® Excel and CSV Files Training Videos:īelow is a collection of SAS ® papers and links for processing Excel and CSV files.
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