Rename files and update DATA step program

Author: stever-sas

By Syntax/DATA Step/Compute new columns with expressions and functions.sas

@@ -1,22 +1,22 @@
-/************************************************************************************************/
-/* COMPUTE NEW COLUMNS WITH EXPRESSIONS AND FUNCTIONS                                           */
-/*     This program uses the DATA step to create a new table with selected rows and columns,    */
-/*         new computed columns, and formatted values.                                          */
-/*     Keywords: DATA STEP, CALCULATED COLUMNS                                                  */
-/*     SAS Versions: SAS 9, SAS Viya                                                            */
-/*     Documentation: https://go.documentation.sas.com/doc/en/pgmsascdc/default/lestmtsref/p1hglxgj1sjhdzn18soqrqmvogvj.htm */
-/*     1. Create a new table in the default WORK library named CARS_NEW.                        */
-/*     2. Read the existing table SASHELP.CARS.                                                 */
-/*     3. Only read rows from the input table where Origin equals Europe. Character values must */
-/*        be in quotation marks.                                                                */
-/*     4. Create new columns KmH_Highway and KmH_City that multiply MPG_Highway and MPG_City    */
-/*        by 1.609344.                                                                          */
-/*     5. Create a new column KmH_Average that calculates the mean of KmH_Highway and KmH_City. */ 
-/*     6. Apply the 4.1 format to all variables that begin with KmH. This numeric format        */
-/*        allocates 4 total positions to display the value and rounds to one decimal place.     */
-/*     7. Keep only the variables in the list in the output table. The colon is used to select  */
-/*        all columns that begin with KmH.                                                      */
-/************************************************************************************************/
+/************************************************************************************************
+ COMPUTE NEW COLUMNS WITH EXPRESSIONS AND FUNCTIONS                                           
+     This program uses the DATA step to create a new table with selected rows and columns,    
+     new computed columns, and formatted values.                                          
+     Keywords: DATA STEP, calculated columns                                                 
+     SAS Versions: SAS 9, SAS Viya                                                            
+     Documentation: https://go.documentation.sas.com/doc/en/pgmsascdc/default/lestmtsref/p1hglxgj1sjhdzn18soqrqmvogvj.htm
+     1. Create a new table in the default WORK library named CARS_NEW.                        
+     2. Read the existing table SASHELP.CARS.                                                 
+     3. Only read rows from the input table where Origin equals Europe. Character values must 
+        be in quotation marks.                                                                
+     4. Create new columns KmH_Highway and KmH_City that multiply MPG_Highway and MPG_City    
+        by 1.609344.                                                                          
+     5. Create a new column KmH_Average that calculates the mean of KmH_Highway and KmH_City. 
+     6. Apply the 4.1 format to all variables that begin with KmH. This numeric format        
+        allocates 4 total positions to display the value and rounds to one decimal place.     
+     7. Keep only the variables in the list in the output table. The colon is used to select  
+        all columns that begin with KmH.                                                      
+************************************************************************************************/
 
 data cars_new;                                /*1*/
     set sashelp.cars;                         /*2*/

By Syntax/DATA Step/Data_Step_Select.sas renamed to By Syntax/DATA Step/Create new column with the SELECT statement.sas

@@ -1,29 +1,30 @@
 /************************************************************************************************
- EXAMPLE - SELECT IN DATA STEP
-     This program illustrates how to use the SELECT statement in a data step to assign values to a given variable
-          based on values of another variable or expression. This is usually more understandable than IF...THEN...ELSE
-		  constructs, especially when assigning many values. SELECT is similar to a CASE statement in a PROC SQL query.
-     Keywords: DATA STEP, CALCULATED COLUMNS
+ CREATE NEW COLUMN WITH THE SELECT STATEMENT
+     This program illustrates how to use the SELECT statement in a DATA step to assign values to a 
+     given variable based on values of another variable or expression. This is an alternative to 
+     IF/THEN/ELSE syntax and may be preferred, especially when assigning many values. SELECT is 
+     similar to a CASE expression in a PROC SQL query.
+     Keywords: DATA STEP, SELECT, calculated columns
      SAS Versions: SAS 9, SAS Viya                                                    
-     Documentation:
-          - https://documentation.sas.com/doc/en/pgmsascdc/v_062/lestmtsref/p09213s9jc2t99n1vx0omk2rh9ps.htm
+     Documentation: https://documentation.sas.com/?cdcId=pgmsascdc&cdcVersion=default&docsetId=lestmtsref&docsetTarget=p09213s9jc2t99n1vx0omk2rh9ps.htm
       1. Create a new dataset named CARS_ORIG_COUNTRY in the WORK library.
       2. Read the existing SASHELP.CARS dataset, but KEEP only the MAKE, MODEL, and ORIGIN variables.
       3. Create a variable named ORIGIN_COUNTRY as a character variable with a length of 25.
       4. SELECT the value of the MAKE variable as each observation is processed in the PROGRAM DATA VECTOR (PDV).
       5. Assign a value to the ORIGIN_COUNTRY variable based on the current value of MAKE, Japan and Acura in this case.
-	       Values are contained in quotation marks (single quotes in this example) since both variables are of type character.
+	     Values are contained in quotation marks (single quotes in this example) since both variables are of type character.
       6. Use OTHERWISE to assign a missing value to ORIGIN_COUNTRY for cases when the value of MAKE is not specified in
-	       the SELECT statement.
+	     the SELECT statement.
       7. END specifies the end of the SELECT values.
-	  8. RENAME the ORIGIN variable to ORIGIN_REGION for clarity between the 2 ORIGIN... variables in the resulting dataset.
+	  8. RENAME the ORIGIN variable to ORIGIN_REGION for clarity between the 2 ORIGIN variables in the resulting dataset.
+      9. An alternate approach allows multiple values listed inside the parentheses, separated by commas. 
 ************************************************************************************************/
 
-data work.cars_orig_country; /*1*/
-    set sashelp.cars(keep=Make Model Origin); /*2*/
-    length Origin_Country $25; /*3*/
-    select (Make); /*4*/
-        when ('Acura') Origin_Country = 'Japan'; /*5*/
+data work.cars_orig_country;                                         /*1*/
+    set sashelp.cars(keep=Make Model Origin);                        /*2*/
+    length Origin_Country $25;                                       /*3*/
+    select (Make);                                                   /*4*/
+        when ('Acura') Origin_Country = 'Japan';                     /*5*/
         when ('Honda') Origin_Country = 'Japan';
         when ('Hyundai') Origin_Country = 'South Korea';
         when ('Infiniti') Origin_Country = 'Japan';
@@ -61,7 +62,29 @@ data work.cars_orig_country; /*1*/
         when ('Oldsmobile') Origin_Country = 'United States of America';
         when ('Pontiac') Origin_Country = 'United States of America';
         when ('Saturn') Origin_Country = 'United States of America';
-        otherwise Origin_Country = ''; /*6*/
-    end; /*7*/
-    rename Origin = Origin_Region; /*8*/
+        otherwise Origin_Country = '';                               /*6*/
+    end;                                                             /*7*/
+    rename Origin = Origin_Region;                                   /*8*/
+run;
+
+
+data work.cars_orig_country;                                         /*9*/
+    set sashelp.cars(keep=Make Model Origin);
+    length Origin_Country $25; 
+    select (Make); 
+        when ('Acura', 'Honda', 'Infiniti', 'Isuzu', 'Lexus', 'Mazda', 'Mitsubishi', 'Nissan', 'Scion', 'Subaru', 'Suzuki', 'Toyota') 
+            Origin_Country = 'Japan'; 
+        when ('Hyundai', 'Kia') 
+            Origin_Country = 'South Korea';
+        when ('Audi', 'BMW', 'Mercedes-Benz', 'Volkswagen', 'Porsche')  
+            Origin_Country = 'Germany';
+        when ('Jaguar', 'Land Rover', 'MINI') 
+            Origin_Country = 'England';
+        when ('Saab', 'Volvo') 
+            Origin_Country = 'Sweden';
+        when ('Buick', 'Cadillac', 'Chevrolet', 'Chrysler', 'Dodge', 'Ford', 'GMC', 'Hummer', 'Jeep', 'Lincoln', 'Mercury', 'Oldsmobile', 'Pontiac', 'Saturn') 
+            Origin_Country = 'United States of America';
+        otherwise Origin_Country = '';
+    end; 
+    rename Origin = Origin_Region; 
 run;

By Syntax/FORMAT Procedure/Using Date Directives on the PICTURE Statement.sas renamed to By Syntax/FORMAT Procedure/Using date directives on the PICTURE statement.sas

@@ -20,20 +20,22 @@ PROC PRINT
 PROC SORT
 PROC TRANSPOSE
 PROC UNIVARIATE
+SELECT
 VALUE
 
 
 Topic Keywords (lower case)
 aggregate
 csv
 custom format
+calculated columns
+debug
 delimited data
 Excel
 frequency
 graph
 import data
 plot
 read data
-report
-debug
-remove duplicates
+remove duplicates
+report