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Elliott
‎01-29-2024
  • 175 Posts
  • 6 Likes Given
  • 0 Solutions
  • 2 Likes Received

SAS EG Functionality Vs SAS Studio

by Obsidian | Level 7 in SAS Enterprise Guide
‎11-15-2022 11:14 AM
‎11-15-2022 11:14 AM
I have a question, my company recently moved from SAS EG to Studio.  One of the features of EG that I really liked was the data import which wrote out the infile code with all the formats and lengths.     I cannot figure out how to do that in SAS Studio.  All it does is the proc import, I need to know how to get the code for using infile.   Does anyone know how to do this in SAS Studio.   Thanks in advance, Elliott ... View more

Re: Using hash table to match datasets, How do I avoid matching on mis...

by Obsidian | Level 7 in SAS Programming
‎07-19-2022 07:28 AM
‎07-19-2022 07:28 AM
Thanks, funny thing is I tried so many different ways but never hit on the correct one.  Thank you very much! ... View more

Re: Using hash table to match datasets, How do I avoid matching on mis...

by Obsidian | Level 7 in SAS Programming
‎07-18-2022 07:57 PM
‎07-18-2022 07:57 PM
Actually this also happens on ID(rule 5), it is matching missing values there also.     I have tried the suggested correction, but I get this error:   NOTE: There were 9 observations read from the data set WORK.MATCH_DATA. ERROR: Invalid option name =. ERROR: Invalid data set option string at line 147 column 7. ERROR: DATA STEP Component Object failure.  Aborted during the EXECUTION phase.   I have attached my code and if I can get the image in, the results, you will see the last 2 records match on rule 4 and rule 5 when those values were missing. data work.main_data; infile datalines dlm=',' dsd truncover; length lastname firstname $25 store $5 pendingno $13 id $10 acct $16; input lastname firstname store pendingno id acct $ assigndate :date9.; format assigndate date9.; datalines; JONES,JACK,05522,A123456B85946,079458678,4569874589375158,04JUN2021 LYANS,LOIS,04437,A124457B85946,129458646,6559874589375321,22JAN2022 WILLIAMS,JOHN,05522,A123478B25946,379429668,5429842709374758,07AUG2021 BETZINA,ANN,04437,D983456B85946,469457578,4569874589375894,15OCT2021 JOYES,JACK,00301,A123456B85946,279258678,3729874589375158,04SEP2021 SAMS,MACK,02747,A128547B85946,654458746,455874589375321,27MAY2022 WILLIS,JANE,00301,A123458X25946,379447878,5412345589374758,13AUG2021 BETXINA,RUTH,04437,D983426B85946,269453578,4569874589387651,25DEC2021 DAVIS,DAVID,05522,B123458X25136,,5418445589374758,13APR2021 BATHE,ROBERT,04437,D983716B85946,264853578,,25MAR2022 ; data work.match_data; infile datalines dlm=',' dsd truncover; length last_name first_name $25 refno $13 sid $10 acctno $16; input last_name first_name refno sid acctno $ recevdate :date9.; format recevdate date9.; datalines; JONES,JACK,A123456B85946,079458678,4569874589375158,05JUN2021 LYONS,LOIS,A123357B85946,,,23JAN2022 WILLIAMS,JAMES,A874857B85946,379429678,5428794589374758,09AUG2021 BETZINA,ANN,D983456B85946,469457578,4569874589375158,18OCT2021 JOYES,JACK,A123456B85946,279258678,3729874589375158,07SEP2021 SAMSA,MACK,A128547B95946,654458646,,28MAY2022 WILLS,JADE,A123458X25946,379447878,5412345589374758,15AUG2021 BETXINA,RUTH,D983426B85946,269453578,4569874589387651,27DEC2021 WILLIAMS,JOHN,A123478C25946,379429678,,08AUG2021 ; data work.v_match_data /view=work.v_match_data; set work.match_data; rename refno=pendingno last_name=lastname first_name=firstname acctno = acct sid = id ; run; data want; format rule 1.; rule = 0; if _n_=1 then do; if 0 then set work.v_match_data(keep=recevdate); dcl hash h_rule1(dataset:'work.v_match_data'); h_rule1.defineKey('pendingno','lastname'); h_rule1.defineData('recevdate'); h_rule1.defineDone(); dcl hash h_rule2(dataset:'work.v_match_data'); h_rule2.defineKey('pendingno'); h_rule2.defineData('recevdate'); h_rule2.defineDone(); dcl hash h_rule3(dataset:'work.v_match_data'); h_rule3.defineKey('acct','lastname'); h_rule3.defineData('recevdate'); h_rule3.defineDone(); dcl hash h_rule4(dataset:'work.v_match_data (where=(nmiss(acct))=0)'); h_rule4.defineKey ('acct'); h_rule4.defineData('recevdate'); h_rule4.defineDone(); /* (where=(nmiss(acct))=0) */ dcl hash h_rule5(dataset:'work.v_match_data'); h_rule5.defineKey('id'); h_rule5.defineData('recevdate'); h_rule5.defineDone(); /* (where=(nmiss(id))=0) */ dcl hash h_rule6(dataset:'work.v_match_data'); h_rule6.defineKey('lastname','firstname'); h_rule6.defineData('recevdate'); h_rule6.defineDone(); end; call missing(of _all_); set work.main_data; if h_rule1.find()=0 then rule=1; else if h_rule2.find()=0 then rule=2; else if h_rule3.find()=0 then rule=3 ; else if h_rule4.find()=0 then rule=4; else if h_rule5.find()=0 then rule=5; else if h_rule6.find()=0 then rule=6; else rule=0; run; ... View more

Using hash table to match datasets, How do I avoid matching on missing...

by Obsidian | Level 7 in SAS Programming
‎07-18-2022 03:35 PM
‎07-18-2022 03:35 PM
Hi, this is a follow up to an earlier post which I marked successful, today I realized the data is being matched on missing values and that is not the result I wanted, all the other matching is wonderful but I cannot show matches on the missing values for acct in rule 4, missing values for id in rule 5 and I also noticed that in rule 3 for acct/last name also matched for missing values on account.  How do I avoid this result. I have been reading everything I can for hash tables for hours and tested multiple ways but cannot figure out how to modify the code to avoid the matching on missing values in those scenarios. Any assistance will be greatly appreciated. Here is my sample code I have been working with:   data work.main_data; infile datalines dlm=',' dsd truncover; length lastname firstname $25 store $5 pendingno $13 id $10 acct $16; input lastname firstname store pendingno id acct $ assigndate :date9.; format assigndate date9.; datalines; JONES,JACK,05522,A123456B85946,079458678,4569874589375158,04JUN2021 LYANS,LOIS,04437,A124457B85946,129458646,,22JAN2022 WILLIAMS,JOHN,05522,A123478C25946,379429678,5429874589374758,07AUG2021 BETZINA,ANN,04437,D983456B85946,469457578,4569874589375894,15OCT2021 JOYES,JACK,00301,A123456B85946,279258678,3729874589375158,04SEP2021 SAMS,MACK,02747,A128547B85946,654458746,455874589375321,27MAY2022 WILLIS,JANE,00301,A123458X25946,379447878,5412345589374758,13AUG2021 BETXINA,RUTH,04437,D983426B85946,269453578,4569874589387651,25DEC2021 DAVIS,DAVID,05522,B123458X25136,379442778,5418445589374758,13APR2021 BATHE,ROBERT,04437,D983716B85946,264853578,4569891589387657,25MAR2022 ; data work.match_data; infile datalines dlm=',' dsd truncover; length last_name first_name $25 refno $13 sid $10 acctno $16; input last_name first_name refno sid acctno $ recevdate :date9.; format recevdate date9.; datalines; JONES,JACK,A123456B85946,079458678,4569874589375158,05JUN2021 LYONS,LOIS,A123357B85946,,6559874589375321,23JAN2022 WILLIAMS,JAMES,,379429678,5429874589374758,09AUG2021 BETZINA,ANN,D983456B85946,469457578,4569874589375158,18OCT2021 JOYES,JACK,A123456B85946,279258678,3729874589375158,07SEP2021 SAMSA,MACK,A128547B95946,654458646,,28MAY2022 WILLS,JADE,A123458X25946,379447878,5412345589374758,15AUG2021 BETXINA,RUTH,D983426B85946,269453578,4569874589387651,27DEC2021 WILLIAMS,JOHN,A123478C25946,379429678,5429874589374758,08AUG2021 ; data work.v_match_data /view=work.v_match_data; set work.match_data; rename refno=pendingno last_name=lastname first_name=firstname acctno = acct sid = id ; run; data want; format rule 1.; rule = 0; if _n_=1 then do; if 0 then set work.v_match_data(keep=recevdate); dcl hash h_rule1(dataset:'work.v_match_data'); h_rule1.defineKey('pendingno','lastname'); h_rule1.defineData('recevdate'); h_rule1.defineDone(); dcl hash h_rule2(dataset:'work.v_match_data'); h_rule2.defineKey('pendingno'); h_rule2.defineData('recevdate'); h_rule2.defineDone(); dcl hash h_rule3(dataset:'work.v_match_data'); h_rule3.defineKey('acct','lastname'); h_rule3.defineData('recevdate'); h_rule3.defineDone(); dcl hash h_rule4(dataset:'work.v_match_data '); h_rule4.defineKey ('acct'); h_rule4.defineData('recevdate'); h_rule4.defineDone(); dcl hash h_rule5(dataset:'work.v_match_data'); h_rule5.defineKey('id'); h_rule5.defineData('recevdate'); h_rule5.defineDone(); dcl hash h_rule6(dataset:'work.v_match_data'); h_rule6.defineKey('lastname','firstname'); h_rule6.defineData('recevdate'); h_rule6.defineDone(); end; call missing(of _all_); set work.main_data; if h_rule1.find()=0 then rule=1; else if h_rule2.find()=0 then rule=2; else if h_rule3.find()=0 then rule=3 ; else if h_rule4.find()=0 then rule=4; else if h_rule5.find()=0 then rule=5; else if h_rule6.find()=0 then rule=6; else rule=0; run;   ... View more

Re: I need to match data from 2 separate data sets based on multiple v...

by Obsidian | Level 7 in SAS Programming
‎07-18-2022 03:15 PM
‎07-18-2022 03:15 PM
it looks like the matching on missing values is also happening with acct/lastname and id.  So my results are showing higher matches then there actually are.   I have been researching hash objects for several hours and I have not been able to figure out how to exclude the matching on missing values.   Thanks, ... View more

Re: I need to match data from 2 separate data sets based on multiple v...

by Obsidian | Level 7 in SAS Programming
‎07-18-2022 01:20 PM
‎07-18-2022 01:20 PM
Hi Patrick,   I have a question... how do I avoid having matches to missing acct /acctno from rule #4?   Thanks,   ... View more

Re: need help creating a summary - Updated information

by Obsidian | Level 7 in SAS Programming
‎07-18-2022 07:15 AM
‎07-18-2022 07:15 AM
Thank you this is wonderful, as for the last column it is supposed to be the % of mismatches.  I need to add that.   Also, how would the code change if they actually wanted a count on buckets instead of %match?   ... View more

Re: need help creating a summary - Updated information

by Obsidian | Level 7 in SAS Programming
‎07-17-2022 06:44 PM
‎07-17-2022 06:44 PM
here are images of what I have and below is what I am trying to get to . current query produces where I am trying to get ... View more

need help creating a summary - Updated information

by Obsidian | Level 7 in SAS Programming
‎07-17-2022 06:40 PM
‎07-17-2022 06:40 PM
I have worked on this all day and am making some progress but still need some help.   data work.summary_data; infile datalines dlm=',' dsd truncover; length PendingNo $9 CrUnit $5 Store $5 match $10 bucket $5 Rulechar $1 Rule 3 ; input PendingNo CrUnit Store match bucket Rulechar $ Rule 1. ; datalines; 253864481,4730,4,MATCH,0-5,2,2 212777089,4730,4,NOMATCH,0-5,, 301172842,4730,11,MATCH,0-5,4,4 281739414,4730,14,MATCH,6-15,1,1 261300392,4730,14,MATCH,0-5,4,4 288475892,4730,14,MATCH,0-5,4,4 313076925,4730,14,MATCH,0-5,4,4 23131926,4730,14,MATCH,0-5,4,4 273107812,4730,58,MATCH,0-5,3,3 226270010,4730,70,MATCH,0-5,1,1 276177164,4730,70,MATCH,0-5,1,1 92644582,4730,70,MATCH,0-5,1,1 137788903,4730,70,MATCH,0-5,1,1 63797089,4730,70,MATCH,0-5,1,1 114514092,4730,70,MATCH,6-15,1,1 159810023,4730,70,MATCH,0-5,1,1 239028597,4730,70,MATCH,6-15,1,1 291638142,4730,70,MATCH,0-5,1,1 306576926,4730,70,MATCH,0-5,2,2 184156646,4730,70,MATCH,0-5,3,3 214132768,4730,70,MATCH,0-5,3,3 51683419,4730,70,MATCH,0-5,3,3 137563134,4730,70,MATCH,0-5,3,3 217461698,4730,70,MATCH,0-5,3,3 109113011,4730,70,MATCH,0-5,3,3 149173652,4730,70,MATCH,0-5,3,3 154079135,4730,70,MATCH,0-5,3,3 189377914,4730,70,MATCH,0-5,3,3 204766847,4730,70,MATCH,0-5,3,3 189066497,4730,70,MATCH,0-5,4,4 251583641,4730,70,MATCH,0-5,4,4 306428966,4730,70,MATCH,0-5,4,4 46074769,4730,70,MATCH,0-5,4,4 72116021,4730,70,MATCH,0-5,4,4 112755683,4730,70,MATCH,0-5,4,4 112963673,4730,70,MATCH,0-5,4,4 147893714,4730,70,MATCH,0-5,4,4 162142576,4730,70,MATCH,0-5,4,4 233991350,4730,70,MATCH,0-5,4,4 283368603,4730,70,MATCH,0-5,4,4 38519097,4730,70,MATCH,0-5,4,4 78059359,4730,70,MATCH,0-5,4,4 104160371,4730,130,MATCH,0-5,4,4 119392631,4730,130,MATCH,0-5,4,4 184920636,4730,130,MATCH,0-5,4,4 81757207,4730,130,MATCH,0-5,4,4 96275766,4730,130,MATCH,0-5,4,4 96633756,4730,130,MATCH,0-5,4,4 214350928,4730,139,MATCH,0-5,1,1 13148566,4730,139,MATCH,0-5,3,3 164847505,4730,139,MATCH,0-5,4,4 184356706,4730,139,MATCH,0-5,4,4 67873620,4730,139,MATCH,0-5,4,4 72534031,4730,139,MATCH,0-5,4,4 102649143,4730,139,MATCH,0-5,4,4 182921667,4730,139,MATCH,0-5,4,4 207836158,4730,139,MATCH,0-5,4,4 238375000,4730,139,MATCH,0-5,4,4 278454232,4730,139,MATCH,0-5,4,4 298747613,4730,139,MATCH,0-5,4,4 251074531,4730,139,NOMATCH,0-5,, 293309254,4730,139,NOMATCH,0-5,, 204006727,4730,139,NOMATCH,0-5,, 106813447,4730,139,NOMATCH,0-5,, 43030128,4730,140,MATCH,6-15,1,1 291264232,4730,140,MATCH,0-5,1,1 296210900,4730,140,MATCH,0-5,2,2 99259380,4730,140,MATCH,16-30,3,3 51328329,4730,143,MATCH,16-30,1,1 ; run; Proc tabulate data=summary_data; title "Rule Analysis"; class store /missing; class PendingNo rulechar bucket /missing; var rule; table store, rulechar * bucket (all='Total Records' rule=''*(n="# of Matches")) /misstext=' ' ; run; This produces part of what I need, I am still needing to know how to create the % of mismatches and also I would like Rules 1 - 6 on the left then total then buckets then %mismatch. This is what the current output looks like now, but I would like to have it look like what is below This is what the query creates, but. This is what I am trying to get to ... View more

Re: I need to match data from 2 separate data sets based on multiple v...

by Obsidian | Level 7 in SAS Programming
‎07-17-2022 03:19 PM
‎07-17-2022 03:19 PM
Thank you very much, it works perfectly. I had tried that this morning but I must have had something else wrong because it did not work. Thanks! ... View more

Re: I need to match data from 2 separate data sets based on multiple v...

by Obsidian | Level 7 in SAS Programming
‎07-17-2022 10:56 AM
‎07-17-2022 10:56 AM
Hi, this code works but I also need it to assign a value in a new variable called Rule, which is a 1. numeric that populates with 1 - 6 based on the matching rule.  Then I also need any that do not match from the main file to be retained and assign Rule=0; I tried a few ways to add to the code you provided but was not able to create the new variable.  What modifications are necessary to create rule assignment and retain the unmatched records?   Thanks, ... View more

Re: need help creating a summary

by Obsidian | Level 7 in SAS Programming
‎07-16-2022 06:46 PM
‎07-16-2022 06:46 PM
here are some more details that may help, this is an image of the sample the report requestor provided:   Column H: is the number of mismatch or nomatch records for that store number. Column J: %mismatch =H18/I18 Column I:  Total of (both match and mismatched) is the number of records for 1-6 + #of mismatch   Starting at column K: % of matched by aging bucket?  - 7 matched out of 35 (sum of 1-6=7)/total? 7/35=.2 or 20% The example shows 7 but they ask for a % so should show 20%     In the original sample I provided the format was a little different.  but I think they just moved the mismatch% to the end of the buckets.   Thank you all for your help with this ... View more

Re: need help creating a summary

by Obsidian | Level 7 in SAS Programming
‎07-16-2022 08:02 AM
‎07-16-2022 08:02 AM
update to code has already been posted, sorry for the inconvenience ... View more

Re: need help creating a summary

by Obsidian | Level 7 in SAS Programming
‎07-16-2022 08:01 AM
‎07-16-2022 08:01 AM
the initial data before it was reduced to this data was to match record from 2 different data sets, the match/nomatch indicates if a match was found. ... View more

Re: need help creating a summary

by Obsidian | Level 7 in SAS Programming
‎07-16-2022 06:50 AM
‎07-16-2022 06:50 AM
here is the corrected data lines: data have; infile datalines dlm=',' dsd; length Store $5 Rule $1 bktdays 8. match $10 bucket $5; input store rule $ bktdays match $ bucket $ ; datalines; 00004,,0,NOMATCH,0-5 00004,2,3,MATCH,0-5 00011,4,-75,MATCH,0-5 00014,4,-10,MATCH,0-5 00014,1,8,MATCH,6-15 00014,4,82,MATCH,61-90 00014,4,45,MATCH,31-60 00014,4,47,MATCH,31-60 00058,3,0,MATCH,0-5 00070,5,-1,MATCH,0-5 00070,3,0,MATCH,0-5 00070,4,-2,MATCH,0-5 00070,3,0,MATCH,0-5 00070,1,0,MATCH,0-5 00070,4,-9,MATCH,0-5 00070,1,5,MATCH,0-5 00070,,-14,NOMATCH,0-5 00070,2,2,MATCH,0-5 00070,4,-18,MATCH,0-5 00072,3,0,MATCH,0-5 00072,4,21,MATCH,16-30 00073,1,0,MATCH,0-5 00073,4,25,MATCH,16-30 00073,4,25,MATCH,16-30 00074,3,3,MATCH,0-5 00074,1,1,MATCH,0-5 00074,4,58,MATCH,31-60 00075,4,30,MATCH,16-30 00075,3,2,MATCH,0-5 00075,4,0,MATCH,0-5 00076,4,92,MATCH,>90 00076,4,48,MATCH,31-60 00076,1,0,MATCH,0-5 00077,4,52,MATCH,31-60 ; run; ... View more
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