SAS has a longstanding partnership with UTS which centres around an on-campus Innovation Lab, featuring an industrial-standard, state-of-the-art edge-to-enterprise AI and IoT streaming data processing research platform. The Lab offers the opportunity to tackle real-world use cases across areas including healthcare, manufacturing and agribusiness. This technology combines with AI and machine learning models to analyse and process real-time data.   What is the Innovation Lab solving? The SAS x UTS Innovation Lab is tackling a number of real-world use cases such as: Leveraging IoT, real-time distributed data and analytics to enable distributed energy resources (DER) trading to enable reduced costs, enhanced profitability and provide a pathway to strengthen national energy security Every year, three million seniors are treated in emergency departments for fall-related injuries. An AIoT device called DeepCare uses radar streaming data to detect seniors’ activities including falling. Using an AI-enabled IoT platform to advance smart lighting technologies   What’s behind initiatives like the SAS x UTS Innovation Lab? Organisations in Australia are enthusiastically adopting technologies such as AI and capabilities like Generative AI (GenAI), with a recent SAS study finding Australia among the most advanced markets when it comes to maturity and implementation of GenAI technologies. UTS are front and centre in helping prepare the next generation of data and AI professionals, working with SAS to upskill graduates and create a pathway to connect students with organisations across Australia that have a need for AI skills. A recent study found that 75 percent of Australian organisations are actively searching for candidates with AI skills, underlining the importance of the Innovation Lab partnership.   So how can you get involved? Want to know more about the UTS & SAS Innovation Lab? Looking to establish a talent partnership with UTS & SAS? Contact UTS: Ayesha Ubaid (Australian Artificial Intelligence Institute), ayesha.ubaid@uts.edu.au Contact SAS: Ian Edwards (Global Academic Program), Ian.Edwards@sas.com ... View more

Hello I want to run a code that calculate Kramer correlation matrix between categorical variables. I have a question please about improving the code. My code check correlation between any pair of variables  In my example there are 4 variables X Y Z R so it calculate correlation between: X,X    X,Y   X,Z   X,R Y,Y    Y,X   Y,Z    Y,R Z,Z    Z,X   Z,Y   Z,R R,R   R,X   R,Y   R,Z So it calculate 16 correlations However, correlation of X,Y  is same as correlation of Y,X (and so on) How can we improve the code that it will calculate the correlation matrix quicker?   Another question- I have a warning message - WARNING: 31% of the cells have expected counts less than 5, for the table of X  by _X Chi-Square may not be a valid test.   What is the way to solve it?     /****categorical Variables list****/ %let list1var=X Y Z R; %let list2var=&list1var.; /**Number of varaibles***/ %let n =%sysfunc(countw(&list1var)); %put n=&n; %macro CRAMV; %do i = 1 %to &n.; %let var1=%scan(&list1var.,&i.,+); %do j = 1 %to &n.; %let var2=%scan(&list2var.,&j.,+); ods select none; PROC FREQ DATA=Raw_Data_tbl; TABLES &VAR1.* (&VAR2.)/CHISQ MISSING NOPERCENT NOCOL; OUTPUT OUT=ttt CRAMV ; RUN; DATA want; RETAIN VAR1 VAR2; SET ttt; LENGTH VAR1 VAR2 $32.; VAR1 ="&VAR1"; VAR2 ="&VAR2"; RUN; PROC APPEND DATA=want BASE=Kramer_All force;quit; %end; %end; %mend; %CRAMV; /***Create matrix***/ title; ods select all; proc tabulate data=Kramer_All; class VAR1 VAR2; var _CRAMV_; table (VAR1=''),VAR2=''*(_CRAMV_=''*min=''*f=6.5 ); run;         but it also calculate correlation between:         ... View more

SAS Viya on Microsoft Azure includes extensive online documentation, a learning portal with self-paced training courses, and access to this active SAS Community to answer your questions.   If you have questions or support needs as you use SAS Viya on Microsoft Azure, we invite you to post your question to this support forum. SAS experts are ready to reply with guidance to help you to learn and to help you to troubleshoot any challenges you encounter.   Essential resources SAS documentation for SAS Viya on Microsoft Azure Community support forum for SAS Viya on Microsoft Azure Learning Center for SAS Viya for Microsoft Azure (linked from within the product, requires activation) License terms (including policies for basic support) ... View more