How do I compress an existing SAS dataset?

How do I compress an existing SAS dataset?

The two ways to compress data sets in SAS:

  1. Using the option in the DATA step to compress a data set: data ssd.income (compress=yes);
  2. To compress all data sets created within a SAS sessions: options compress=yes;

Does Proc APPEND create new dataset?

names a SAS data set. If the APPEND statement cannot find an existing data set with this name, it creates a new data set in the library. That is, you can use the APPEND statement to create a data set by specifying a new data set name in the BASE= argument.

How do I delete a SAS dataset observation?

To remove observations in SAS, you can use the IF statement in a DATA step. Suppose you want to exclude all observations whose scores are greater than 100.

How do I APPEND DATA to a SAS dataset?

The APPEND procedure has the following form: PROC APPEND BASE=base-SAS-data-set ; base-SAS-data-set. names the SAS data set to which you want to append the observations.

How do I compress in SAS?

Use the COMPRESS= data set option to compress an individual file. Specify the option for output data sets only. That is, specify data sets named in the DATA statement of a DATA step or in the OUT= option of a SAS procedure. Use the COMPRESS= data set option only when you are creating a SAS data file (member type DATA).

What does compress function do in SAS?

COMPRESS function is basically used to compress/removes all the spaces/blanks in a character string. In other words, it removes leading, between and trailing spaces from the strings.

What is difference between appending and concatenating in SAS?

Appending adds all of the observations from the second data set to the end of the first data set. Concatenating copies all of the observations from the first data set and all of the observations from the second data set and writes them to a new data set.

How do I get rid of duplicates in SAS?

The Sort Procedure with the NODUPKEY option is the simplest and most common way of removing duplicate values in SAS. Simply specify the NODUPKEY option in the PROC SORT statement. In the BY statement, specify the variables by which you want to remove duplicates.

How do you delete blank records in SAS?

  1. Method I: Removes complete row where all variables having blank/missing values. OPTIONS missing = ‘ ‘ ; data readin; SET outdata; IF missing(cats( of _all_))
  2. Method II: Removes only that rows where any of the variable has missing/blank values. data readin; SET outdata; IF cmiss( of _character_)

What does variable uninitialized mean in SAS?

Variable X
The “NOTE: Variable X is uninitialized” message is a result of trying to run a DATA Step which utilizes a variable that is not present in the input dataset or has not been created at the point within the DATA Step where SAS tries to utilize the variable.

What is proc transpose in SAS?

Creates an output data set by restructuring the values in a SAS data set, transposing selected variables into observations. Tip: You can use data set options with the DATA= and OUT= options. For more information, see Statements with the Same Function in Multiple Procedures.

What is compress in SAS?

How do i compress SAS data sets?

SAS can use compression algorithms to compress SAS data sets. This is a process of reducing the amount of space needed to store a SAS data set – it does not affect the data stored within that SAS data set. Using the COMPRESS= system or data set option, any SAS data set created on disk will be compressed.

How to uncompress observations in SAS?

To uncompress observations, you must use a DATA step to copy the data set and use option COMPRESS=NO for the new data set. The advantages of using a SAS compressed data set are reduced storage requirements for the data set and fewer input/output operations necessary to read from and write to the data set during processing.

When should I use the compress= data set option?

Use the COMPRESS= data set option only when you are creating a SAS data file (member type DATA). You cannot compress SAS views, because they contain no data. The COPY procedure does not support data set options. Therefore, you cannot use the COMPRESS= data set option in PROC COPY or a COPY statement from PROC DATASETS.

What is the difference between pointobs=yes and reuse=Yes in SAS?

REUSE=YES takes precedence over POINTOBS=YES. That is, if you set REUSE=YES, SAS automatically sets POINTOBS=NO. The TAPE engine supports the COMPRESS= data set option, but the engine does not support the COMPRESS= system option. The XPORT engine does not support compression.