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#Sas jmp show unhidden columns how to#
#Sas jmp show unhidden columns code#

If you think of your numerical data as being in a matrix, the task is to compute the minimum and maximum values for each row or for each column.

#Sas jmp show unhidden columns how to#

This article shows how to compute the minimum and maximum values for each observation (across variables) and, for completeness, for each variable. It is easy to compute statistics across rows by using the DATA step. With the LIBNAME statement below, we create the library my_xlsx that refers to the Excel file common question on SAS discussion forums is how to compute the minimum and maximum values across several variables. However, if you use the XLSX engine, then a library is one Excel file where the “datasets” are the worksheets of the file.

path: The location and the file name (including the file extension).Ī normal library (without specifying the engine) contains one or more SAS datasets.

However, SAS treats the data in the library as an Excel file with the XLSX engine. The default engine is BASE for SAS tables.

engine: The engine provides SAS with instructions on how to treat the data.

A libref is at most 8 characters long, starts with a letter or an underscore, and can only include letters, numbers, or underscores.

libref: The libref is the name of the library.

The statement starts with the LIBNAME keyword, followed by the libref and the engine type, and finally, the location and Excel file name. You create a library to export data to Excel with the LIBNAME statement. Because of this option, it becomes very convenient to save the output of a DATA step or a SAS procedure directly as an Excel file. However, with the LIBNAME statement’s ENGINE option, you can also create libraries to import and export Excel files. Normally, you use the LIBNAME statement to create a library to store your SAS datasets.

#Sas jmp show unhidden columns code#

The SAS code below exports the work.my_data dataset to Excel and creates a file called cars.xlsx.Įxport data from SAS to Excel with the LIBNAME Statement The LIBNAME StatementĪ less known, but also very efficient way to export data from SAS to Excel is by creating a library with the LIBNAME statement. For example, if you export data to Excel, the SAS dataset cannot exceed the maximum of 1,048,576 rows and 16,384 columns. It depends on the file type how much data SAS can export. The DBMS=-option specifies the type of file the EXPORT procedure creates (e.g. Keep in mind that the complete path (location and file name) can’t exceed 201 characters. The OUTFILE=-option specifies the location and file name of the exported dataset. When you export a dataset to Excel, you can use dataset options such as KEEP, RENAME, and WHERE in the DATA=-option. You can either use a one- or two-level SAS name (i.e., with or without libref). The DATA=-option specifies the SAS dataset you want to export. DBMS=-option to specify the file extension such as DBMS=xlsx.For instance, OUTFILE=”/folders/myfolders/export/cars.xlsx”

OUTFILE=-option to define the output location and the file name.

DATA=-option to specify the SAS dataset you want to export.

To export data from SAS to Excel with PROC EXPORT you need to define at least three parameters: This procedure is easy-to-understand and provides many options. Export data from SAS to Excel with PROC EXPORT The EXPORT ProcedureĪn easy way to export a table from SAS to Excel is with the EXPORT procedure (PROC EXPORT).