I Have transaction dataset in which I have a column of expenses I want to keep all transactions side by side using comma based on the account id wise. Below i have mentioned small scenario of the one. Sir, Please help me.. I'm working in SASA last few months. I am not getting how to write a code. Here Market names are missing, for those above market name is considered for bellow blanked rows up to next market name above same market name continues to the next market and next market name continues to the another market name.
Like this each crop has rows in single crop and totally I have 46 crops. Please suggest the code with examples.. Thanks so much!! Glad to have found this site.
How does the delimiter will come into play as it is used to separate 2 vars in ID statement, I can see ur code working. Could you please help to explain. Solution: data readin; input ID date ddmmyy8.
Here is right answer: data readin2; set readin; format date yymmdd It's a very powerful procedure when you need to change the shape of the data. For example, you have data in vertical long format and you are asked to change it to horizontal wide format. Sign In.
Members' area. Master SAS in 30 days! Start Your Free Training Now. Proc Transpose Tutorial. Data Sets. Transposing Long to Wide Datasets. The next step is to expand the data to break down the Sales amounts in groups by each Subsidiary. This can done easily using the BY statement.
Do you have a hard time learning SAS? Start Course for Free! Transposing Multiple Variables. Transposing Wide to Long Datasets. The concepts and syntax for transposing wide to long datasets are essentially identical, but the goal when creating wide dataset from a long dataset is different. 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.
While the concepts of using PROC TRANPOSE to create a long dataset from a wide dataset shown earlier in this article can also be applied to wide to long dataset transpositions, the following examples illustrate how a wide to long transformation looks. LEUTEST, there are more columns than rows and each row uniquely represents a genetic sample of different types of leukemia y , while the x1-x columns represent the genes:.
Using the NAME and PREFIX options, we now have an easier to interpret output set which has been successfully transposed from wide columns and 34 rows to long 35 columns and rows , as you can see in the partial output data shown below:. In the previous example, we showed how to use the Options of the transpose procedure.
We continue with the example mentioned above. However, with the VAR statement, you can select which column s you want to transpose.
You can select both numeric and character column s. With the code below we show how to transpose only the Sales column.
With this option you can change the prefix of the new column names. However, with the ID statement you can use the values of a column as the new variable names. The ID statement assigns names to the transposed value columns that match the values in the variable listed in the ID statement. For long-to-wide transposes, the ID variable s determine the structure of the columns in the transposed dataset.
There will be one column for each unique value of the ID variable or if multiple ID variables are present, one column for each unique combination of values. For wide-to-long transposes, you typically do not need an ID variable.
However, if you do supply an ID variable, it will determine the column structure. These are the values that will appear in the cells of the transposed variables. For long-to-wide datasets, there is usually one variable in the VAR statement. For wide-to-long datasets, there are usually multiple variables in the VAR statement. The resulting dataset will have one row for each variable identified in the VAR statement. Report a problem. Subjects: Statistical Software.
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