For this work: Use these five datasets $($allids$,$ demographics, medications, anthropometrics, and bloodpressure$)$ in the Homework #$04$ folder. I. $(3$ points$)$ Merge all five datasets and include every piece of information you have. II$.(20$ points$)$ Extract the matches and the non$-$matches. a$.$ How many patients has both anthropometrics information and blood pressure information? b$.$ How many patients has both medication information and blood pressure information? c$.$ How many patients has all information in anthropometrics, blood pressure, demographics, and medications? d$.$ How many patients doesn$$t have medications records? e$.$ How many patients doesn$$t have anthropometircs information or demographics? Work is to be done in SAS and my codes are: $/*$ Step $1$: Define a library for the HW $4$ folder $*/$ libname hw$4"$C:$\backslash$Users$\backslash$Michael$\backslash$Desktop$\backslash$HW $4"$; $/*$ Step $2$: List all datasets in the hw$4$ library to confirm they are accessible $*/$ proc datasets library$=$hw$4$; run; quit; $/*$ Step $3$: Merge datasets, keeping all information $*/$ data merged$\_$data; merge hw$4.$allids$($in$=$a$)$ hw$4.$anthropometrics$($in$=$b$)$ hw$4.$bloodpressure$($in$=$c$)$ hw$4.$demographics$($in$=$d$)$; by patient$\_$id; $/*$ Step $4$: Convert flags for each dataset $*/$ if a then has$\_$allids $=1$; else has$\_$allids $=0$; if b then has$\_$anthropometrics $=1$; else has$\_$anthropometrics $=0$; if c then has$\_$bloodpressure $=1$; else has$\_$bloodpressure $=0$; if d then has$\_$demographics $=1$; else has$\_$demographics $=0$; run; proc sort data$=$work.merged data; by med$\_$ID; run; data mergedData$\_$Final; merge work.merged$\_$data hw$4.$medications $($in e$)$; by med$\_$ID; if e then has$\_$medications $=1$; else has$\_$medications $=0$; run; proc contents data$=$mergedData$\_$Final; run; proc print data$=$mergedData$\_$Final; run; proc sql; select count $($distinct patient$\_$id$)$ as num$\_$patients$\_$with$\_$both from work.mergedData$\_$Final where has$\_$anthropometrics $=1$ and has$\_$bloodpressure $=1$; quit; proc sql; select count $($distinct patient$\_$id$)$ as num$\_$patients$\_$with$\_$both from work.mergedData$\_$Final where has$\_$medications $=1$ and has$\_$bloodpressure $=1$; quit; proc sql; select count $($distinct patient$\_$id$)$ as num$\_$patients$\_$with$\_$all$\_$info from work.mergedData$\_$Final where has$\_$anthropometrics $=1$ and has$\_$bloodpressure $=1$ and has$\_$medications $=1$ and has demographics $=1$; quit; proc sql; select count $($distinct patient$\_$id$)$ as num$\_$patients$\_$with$\_$no$\_$medications from work.mergedData$\_$Final where has$\_$medications $=0$; quit; check codes and solve for the e