www.oasus.ca “come out of the desert of ignorance to the oasus of knowledge” proc du jour: proc...
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“Come out of the desert of ignorance to the OASUS of knowledge”
Proc du Jour:PROC TRANSPOSETom Kari
Tom Kari Consulting
OASUS, November 20
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Tom Kari, Tom Kari Consulting 2
Simplest case
data SimpleTransposeIn;input A B C;cards;1 2 310 20 30100 200 300run;proc transpose data=SimpleTransposeIn out=SimpleTransposeOut;run;
November 20, 2014
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ID Variabledata FinanceData;length Region $9;input Region NetSales;cards;EMNA 3253EME 749EMIO 430EMSA 403Corporate 4.8run;proc transpose data=FinanceData out=Transposed;ID Region;run;
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• Specifies one or more variables in the input data set whose formatted values name the transposed variables in the output data set.
• Can use with prefix, suffix, delimiter options.
• IDLabel statement provides a variable that contains the labels for the new variables.
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BY Variabledata QuarterlyData;length Region $9;input Region Quarter NetSales;cards;EMNA 1 3253EME 1 749...Corporate 4 6.3run;proc sort data=QuarterlyData;by Region;proc transpose data=QuarterlyData out=TransposedQuarterly prefix=Q;by Region;ID Quarter;var NetSales;run;
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• Excludes one or more variables from being transposed
• Data must be sorted by the BY variable(s)
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BY Variable (cont’d)
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Additional comments
November 20, 2014
• Like PROC SORT, this procedure is intended purely for data processing
• PROC TRANSPOSE has no provisions for ODS
• PROC TRANSPOSE will frequently convert numeric variables to character
• Enterprise Guide provides a good Transpose task
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Use case 1:“Datapoint” files
November 20, 2014
Person Name Gender Age Height
1Alfred M 14 69
2Alice F 13 56.5
3Barbara F 13 65.3
4Carol F 14 62.8
5Henry M 14 63.5
6James M 12 57.3
7Jane F 12 59.8
8Janet F 15 62.5
9Jeffrey M 13 62.5
10John M 12 59
11Joyce F 11 51.3
12Judy F 14 64.3
13Louise F 12 56.3
14Mary F 15 66.5
15Philip M 16 72
16Robert M 12 64.8
17Ronald M 15 67
18Thomas M 11 57.5
19William M 15 66.5
Person Variable Value
1 Name Alfred
1 Gender M
1 Age 14
1 Height 69
2 Name Alice
2 Gender F
2 Age 13
2 Height 56.5
3 Name Barbara
3 Gender F
3 Age 13
3 Height 65.3
…
76 rows
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Convert from relational to “Datapoint” files
November 20, 2014
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Convert from “Datapoint” to relational
November 20, 2014
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Use case 2:Edit Spreadsheets
November 20, 2014
Spreadsheets are a terrible way to transfer important data from one organization to another:• They are prone to ad-hoc changes;• There’s always the risk of transferring the wrong month,
version, location;• “Glitches” frequently pop up.
Yet everybody does it!
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What could go wrong?
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What could go wrong?
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What could go wrong?
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What could go wrong?
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Spaghetti code!
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A different approach
November 20, 2014
• Transpose one of your spreadsheets (turn rows and columns into rows identified by cell id, e.g. B17)
• Separate your cells into “static” (the contents should always be the same), and “fixed” (contains data that we want to capture). Set this table up as a reference table.
• For your production processing:– Pull your spreadsheet into SAS (PROC IMPORT);– Transpose the cells same way, into rows with a cell id;– Match to the reference table by cell id:
• If static and values don’t match, we have a problem.• If a reference cell is empty, and a test cell isn’t, or vice versa, do we have a problem?
– Pull out your “fixed” cell ids (we know what they are from the reference table), and transpose them. You’ll get one record with your data!
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Tom Kari, Tom Kari Consulting 17November 20, 2014