approach) instructs SAS to create all N records for each account, which then are filled with the existing data or remain blank This approach has additional advantages if one of the variables in the dataset is a time variable as it can be incorporated into counter 23 Using initial missing values and First/Last

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This tutorial explains how to reshape data by converting multiple variables from long format to wide format. This tutorial explores 'Double Transpose' SAS method which is used to transpose multiple variables. It's a very handy technique to solve this challenge. Otherwise, it would be a very time consuming task. I have a large dataset in SAS that I need to change to wide from long. Basically, the data is sorted with multiple observations for each property for about 10 different years with around 150 variab 2019-06-03 · You can use PROC TRANSPOSE or the SAS DATA step to convert the data from wide form to long form.

Sas long to wide

Otherwise, it would be a … PROC TRANSPOSE: Long-to-Wide. First, we will show how to transpose a SAS data set from long to wide, i.e. rows to columns. Example 1: The PROC TRANSPOSE Options.

Long to Wide with Data Step Wide to Long with Data Step Reshaping data wide to long using a data step | SAS Learning Modules There are several ways to reshape data. You can reshape the data using proc transpose or reshape the data in a data step. The following will illustrate how to reshape data from wide to long using the data step.

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I have a large dataset in SAS that I need to change to wide from long. Basically, the data is sorted with multiple observations for each property for about 10 different years with around 150 variables. I would like to make it so each variable is a different year and have one observation per property. 2021-04-06 represents a wide file that we want to make even wider. As such, with PROC TRANSPOSE, we first have to use the procedure to transform the wide file into a longer file, and then use PROC TRANSPOSE, again, to transform the longer file into the ultimately desired width. Making Long Data Wide with a Flexible Macro Stephanie R. Thompson, Jenzabar / Datamum ABSTRACT When you need to make a wide dataset from multiple sources where the data are long instead, this macro approach is for you. This macro has several variations that allow for customization and the addition of dynamic prefixes to the new variable names.

This also shows how to set libraries in SAS.Link to datasets: h • The SAS ® code used in this presentation was run on SAS ® for Windows (9.2) on a 64 bit platform. • This material in this presentation is suitable for someone who is familiar with SAS ® coding and wants to add to their knowledge base with the steps involved to transpose a dataset from ‘long’ to ‘wide’. For example, you can do it with Proc Transpose in SAS or with the Restructure wizard in SPSS. This is a good skill to practice, as it’s quite helpful to be able to switch back and forth. For example, it’s often easier to enter and manipulate data in the wide format, even if you need to analyze it in the long format. A normalized data that tends How to restructure SPSS dataset from Long to Wide form with repeated variables 2018-04-03 In the SAS code below, the COL# variables can be renamed to be Amount1, Amount2, Amount3 etc., by specifying prefix=Amount. With a wide to long dataset transformation, the goal is to reduce the number of columns per subject and create a data structure where multiple rows are used to define the different attributes of a subject.
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This paper compares three methods of long-to-wide conversion, two common (PROC TRANSPOSE and arrays) and one not commonly used (PROC SUMMARY). It also shows how PROC SQL can be used to find information 2011-01-31 Learn how to turn a wide format dataset into a long format dataset in SAS using data steps.
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Transpose long to wide in SAS. I have a very large data set (18 million observations) that I would like to transpose by subsetting based on one variable and creating 900 new variables out of those sub/ets. Example code and desired output format below: Example data:

Karl B Christensenhttp://192.38.117.59/~kach/SAS.