1. 1 Data Manipulation (with SQL) HRP223 – 2010 October 13, 2010 Copyright © 1999-2010 Leland Stanford Junior University. All rights reserved. Warning: This presentation is protected by copyright law and international treaties. Unauthorized reproduction of this presentation, or any portion of it, may result in severe civil and criminal penalties and will be prosecuted to maximum extent possible under the law.

2. 2 Topics For Today Organization Sharing a SAS dataset – As.sas7bdat files or other formats Renaming – Datasets – Variables Subsetting a dataset – Select a few variables – Select a few records SQL reports for a single table of data – Selecting/renaming variables – Applying labels and formats – Creating tables with SQL

3. 3 Avoiding Spaghetti Code Programmers refer to unstructured, poorly thought through, unorganized code as spaghetti code. Your EG projects will literally look like a tangled mess of spaghetti if you do not structure them in advance. – Use several named process flows – Use lots of notes in the project – Include a lot of comments if you write code This is bad. Organization

4. 4 Process Management Typically you will have a process flow that tells EG where to find existing SAS data or it says to import from the source file(s) from a database like REDCap or from Excel and then does data cleaning and splits the data into subsets. If you do different sets of analyses to the subsets, add in a process flow for each subset. Have one of the process flows create a dataset called analysis that has the cleaned data with all the information used in the analyses. Organization

5. 5 Working with Multiple Process Flows You can add other process flows with the File menu or by right clicking on the background of a process flow. or click here.Click here to move between flowcharts…

6. 6 Right click on the process flow and give it a meaningful name. You may want to link the library to the dataset. Organization

7. 7 The Greater Right of the Left Your process flows should have the source of the data on the left. The left margin should have: – A note saying what the flowchart does – A code node that creates a toy dataset or a library (or libraries) that contains the data Organization

8. 8 A Good Process Flow Organization

9. 9 Organization in Programs All my SAS code begins with the same header information. The /* */ are used to mark large comments.

10. 10 Display manager deletes output text and log. Do not show the name of the procedures in output. Do X commands ASAP. Don’t show the date in output and reset page # to 1. Delete graphics in the work library. Specify where output will be stored. Make the folder where output will be stored if it does not exist. Delete what is there if it exists. Set file path to that directory. Make a library to store output datasets. Make a web page to display all output. Make pretty graphics. Run other programs. Turn off graphics and output.

11. 11 Sharing Data You can share SAS data sets just like Excel files. Create a library. Copy the data into the library. If the data has formats associated with it, be sure to send the formats. – More on this on a later date. Sharing

12. 12 Exporting the Point and Click Way Double click the data set you want to export and use the Export context dependent menu. Sharing

13. 13 Libraries Recall that a library is reference to a location on a hard drive. If you tell EG to move a data set into a library it moves it into the folder that the library “points at”.

14. 14 With Code…. Create a library with the GUI or use the libname statement libname blah "C:\blah"; Write a little program to move the data into a permanent library: proc copy in = work out = blah; select humans; run; Sharing

15. 15 This code is efficient. Sharing

16. 16 Alternatives Novices underuse proc copy. Instead they typically write less efficient data steps. For example, data blah.humans; set work.humans; run; Or they may write: data "C:\blah\humans.sas7bdat"; set work.humans; run; Sharing

17. 17 Sharing Either create a library node or write this line. Functionally the same but less efficient than proc copy. Either create a library node or write this line.

18. 18 Export Code for a Different Format Sharing

19. 19 Note that you have to manually connect the code node to the right place in the flow chart and the exported item does not show up on the process flow. Sharing

20. 20 Copy and Rename If you want to copy and rename a file, use the GUI or write code. – Double click the data set. – Choose Query Builder from the context sensitive menu. Renaming datasets

21. 21 Renaming datasets

22. 22 With code… data blah.test; set work.humans; run; Renaming datasets

23. 23 Select a Few Variables From Fake Data The next task is to select a couple of variables from a data set that has a LOT of variables. If you get a premade dataset with lots of extra variables, you want to drop the ones you will never use. Do this as soon as you can. First I will make some fake data. The data set will have a simulated test value filled into 6 “month” variables. Fake data

24. 24 How to make a fake subject Fake data Variables are added to the new dataset in the order in which they are created. New variables are created if they show up in array statement (rarely) or on the left side of an equal sign (=). Comments can start with * and end with ;

25. 25 Fake data

26. 26

27. 27 You can use the Filter and Sort context sensitive menu to select a few variables. To rename a variable or change how it prints in reports you need to use the Query Builder or write code. Selecting variables and renaming Rename and label variables

28. 28 Drag and drop the variables you want into the Select Data windowpane. Rename and label variables Click on a variable name. Then use the properties button to change the name and the display label. Month1 is January but for reports I want it to say First Month.

29. 29 Rename and label variables

30. 30 Rename and label variables I usually display the variable names instead of the labels. To write code, you need the names not the labels.

31. 31 What it did… Rename and label variables

32. 32 Data Step (SAS code) Version Notice where the ; is found. This is one long statement. Rename and label variables

33. 33 Minimal SQL Print a report showing the contents of variables from a single data set. Put a comma-delimited list of variables here or * for all variables. Specify a library.table here. Note that there is no create table ____ as SQL reports

34. 34 What variables? Typically you will use a coma delimited list but you can use an * to indicate that you want all variables selected instead of typing them all. There is no syntax to specify variables based on position in the source files. That is, you can not specify that you want to select the 2 nd and 7 th variables (from left to right) or to select the first 3 variables. SQL reports

35. 35 Use of Minimal SQL Note that the order of the list sets the order in the report (or the order in a new dataset). SQL reports – selecting variables

36. 36 Renaming and Labels You can rename a variable in the list with an as statement. SQL reports – rename/label as creates a new variable. Without as SQL just copies the variable You can also specify variable labels.

37. 37 Using Formats Labels affect column headings and similar titles, and formats affect how values appear without changing the values themselves. Notice the lowercase i. The capitalization is set when the variable is created. SQL reports – format

38. 38 Preview of User Defined Formats Note the $ means a character format. SQL reports – format

39. 39 blah SQL tables New table. Original table

40. 40 More Tweaks The from line references tables which are in libraries. Complex queries require you to reference the table name over and over again. Instead of having to type the long library and dataset names repeatedly, you can refer to the files as an alias. Print the column called dude from the table blah which is in the fakedata library. Here the b. is optional because dude is only in one table (the query only uses one table). SQL reports – table aliases

41. 41 Data Step Version…. Rename label and format variables