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• 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’.

In addition, you can set the attributes for all the lines by using a single statement. How to reshape data wide to long using proc transpose | SAS Learning Modules 1. Transposing one group of variables. For a data set in wide format such as the one below, we can reshape it into long 2.

Example 1: Reshaping one variable The long record has one record per year (per family) while the wide record has one record per family. Doing this kind of reshaping in SAS can be tricky. We have written a macro (a program) to help you do this kind of standard data reshaping. Convert from Long to Wide Posted 06-11-2017 10:43 PM (4070 views) I have a dataset in long format, example below: I need to convert it to one observation per person with the codes as the variables names and the value as the values for each person.

Below is an example of using SAS proc transpose to reshape the data from a long to a wide format. data long1 ; input famid year faminc ; cards ; 1 96 40000 1 97 40500 1 98 41000 2 96 45000 2 97 45400 2 98 45800 3 96 75000 3 97 76000 3 98 77000 ; run; proc transpose data=long1 out=wide1 prefix=faminc; by famid ; id year; var faminc; run; proc There are several ways to reshape data from a long to a wide format in SAS. For example, you can reshape your data using proc transpose or reshaping the data in a data step. The following will illustrate how to reshape data from long to wide using the data step.

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. In this first example, we will reshape the data shown below.

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It's a very handy technique to solve this challenge.

Reshape long to wide in pandas python with pivot function: We will reshape the above data frame from long to wide format in R. The above data frame is already in long format. This can be accomplished with below code # reshape from long to wide in pandas python df2=df.pivot(index='countries', columns='metrics', values='values') df2 For your purposes, it would be easier to accomplish your task if all accounts and balances were “wide” -- on 1 line: checking savings mortgage credit_card $1,000.00 $4,000.00 $150,000.00 $500.00 From wide to long; From long to wide; reshape2.
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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.

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 In order to reshape table from Long to wide and from wide to long in SAS we will be using PROC TRANSPOSE. PROC TRANSPOSE statement in SAS is explained below with which we have depicted an example to reshape table from Long to wide in SAS. Another example to reshape to wide to long in SAS is shown below. Syntax – PROC TRANSPOSE Prior to joining the SAS Irvine office in 1988, Jim was an instructor at Ventura College and a SAS programmer at The Medstat Group in Santa Barbara.
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3 Jun 2019 You can use PROC TRANSPOSE or the SAS DATA step to convert the data from wide form to long form. When the data are in the long format,

Here is a simple example of a wide form dataset, in which every variable lives in a column. + R Language Reshape from long to wide format with spread(). Example#.

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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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