Hi there,   Hello, I'm new here and would like to apologise if my question seems a little illogical. I am looking for a tool for our company in the area of factory planning, with which unstructured Excel data must be converted into a structured, predefined form. I am analysing whether the raw data (machine, process and product information) of our customers can be converted into a structured format by an AI. This is necessary in order to be able to read in the data with the in-house software (VBA code is currently still being written for this). The target formatting is therefore known (import excel). However, the raw Excel data is different in every new project. The reorganisation affects, among other things, the arrangement of rows and columns, but also the generation of formulas.   Is there a way to solve this problem with SAS?   Many thanky in advance. Best regards     ... View more

Hi, I have some code that sums up monthly values and assigns each month as a new column. The problem is the code is ugly and I feel like there should be a better way to do this. Here is the code:   PROC SQL; CREATE TABLE TMP1DAY.MONTHLY_SUMMARY AS SELECT t1.ID_VARIABLE, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201901" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201902", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201901, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201902" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201903", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201902, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201903" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201904", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201903, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201904" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201905", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201904, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201905" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201906", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201905, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201906" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201907", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201906, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201907" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201908", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201907, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201908" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201909", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201908, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201909" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201910", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201909, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201910" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201911", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201910, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201911" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "201912", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201911, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201912" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "202001", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201912_01, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "201901" AND "201912" AND t1.SECOND_YYYYMM BETWEEN "201901" AND "202002", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_201912_02, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202001" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202002", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202001, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202002" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202003", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202002, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202003" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202004", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202003, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202004" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202005", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202004, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202005" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202006", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202005, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202006" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202007", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202006, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202007" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202008", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202007, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202008" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202009", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202008, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202009" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202010", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202009, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202010" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202011", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202010, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202011" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202012", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202011, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202012" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202101", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202012_01, SUM(IFN(t1.FIRST_YYYYMM BETWEEN "202001" AND "202012" AND t1.SECOND_YYYYMM BETWEEN "202001" AND "202102", t1.SUM_COLUMN, 0)) AS SUM_COLUMN_202012_02 FROM WORK.PRE_MONTHLY_SUMMARY t1 GROUP BY 1; QUIT; How would I instead write this to do the same thing but programmatically/with macro variables? its already out of hand and I will need to add more years which will just make it even worse. Any and all advice is appreciated.   Thanks in advance! ... View more

proc export data=sashelp.class outfile="TEST1" dbms = xlsx replace; run; proc export data=sashelp.class outfile="TEST1" dbms=xlsx replace; run; I'm trying to append an existing file using Proc export, but it didn't work. i want this ouput   ... View more

I recently started using the TableN macro and I wanted to say thank you to @JeffMeyers for providing such a useful macro! I was able to produce Table 1 for TM_group (which is a binary variable with values 0,1). However, I would now like to create Table 1 for subgroups based on the ADRD_group variable (which is also 0,1). The documentation for the macro indicates the COLBY option can do exactly what I'm looking for, and provides an example output table with Gender and Arm. However, I can't find good example syntax of how to add the COLBY option to the code. I've tried a few variations, but I keep getting errors. Below is my latest version.   %tablen( data=have; ,by=TM_group .colby=ADRD_group ,var=DEM_AGE DEM_SEX ,type=2 2 ,outdoc=C:\Users\r\Desktop\TM vs MA ADRD Table 1(&version.).rtf ); ... View more