Difficult to put this in a question, but this is what I mean:
This is my data:
ID DATA1 DATA2 DATA3 DATA4
1 yes yes yes
2 yes yes
3 yes yes
What I like to get:
ID1
- DATA1
- DATA2
- DATA4
ID2
- DATA2
- DATA3
ID3
- DATA1
- DATA4
Anyone knows what query or formula I can use for this?
try:
=ARRAYFORMULA(TRANSPOSE(SPLIT(TEXTJOIN("♦"; 1; {
IF(A2:A<>""; A1&A2:A; )\ IF(B2:E="yes"; "- "&B1:E1; )}); "♦")))
Related
I'd like to make the dataset like the below. I got it, but it’s a long program.
I think it would become more simple. If you have a good idea, please give me some advice.
This is the data.
data test;
input ID $ NO DAT1 $ TIM1 $ DAT2 $ TIM2 $;
cards;
1 1 2020/8/4 8:30 2020/8/5 8:30
1 2 2020/8/18 8:30 2020/8/19 8:30
1 3 2020/9/1 8:30 2020/9/2 8:30
1 4 2020/9/15 8:30 2020/9/16 8:30
2 1 2020/8/4 8:34 2020/8/5 8:34
2 2 2020/8/18 8:34 2020/8/19 8:34
2 3 2020/9/1 8:34 2020/9/2 8:34
2 4 2020/9/15 8:34 2020/9/16 8:34
3 1 2020/8/4 8:46 2020/8/5 8:46
3 2 2020/8/18 8:46 2020/8/19 8:46
3 3 2020/9/1 8:46 2020/9/2 8:46
3 4 2020/9/15 8:46 2020/9/16 8:46
;
run;
This is my program.
data
t1(keep = ID A1 A2 A3 A4)
t2(keep = ID B1 B2 B3 B4)
t3(keep = ID C1 C2 C3 C4)
t4(keep = ID D1 D2 D3 D4);
set test;
if NO = 1 then do;
A1 = DAT1;
A2 = TIM1;
A3 = DAT2;
A4 = TIM2;
end;
*--- cut (NO = 2, 3, 4 are same as NO = 1)--- ;
end;
if NO = 1 then output t1;
if NO = 2 then output t2;
if NO = 3 then output t3;
if NO = 4 then output t4;
run;
proc sort data = t1;by ID; run;
proc sort data = t2;by ID; run;
proc sort data = t3;by ID; run;
proc sort data = t4;by ID; run;
data test2;
merge t1 t2 t3 t4;
by ID;
run;
Since the result looks like a report use a reporting tool.
proc report data=test ;
column id no,(dat1 tim1 dat2 tim2 n) ;
define id / group width=5;
define no / across ' ' ;
define n / noprint;
run;
Tall to very wide data transformations are typically
sketchy, you put data into metadata (column names or labels) or lose referential context, or
a reporting layout for human consumption
Presuming your "as dataset like below" is accurate and you want to pivot your data in such a manner.
Way 1 - self merging subsets with renaming
You should see that the NO field is a sequence number that can be used as a BY variable when merging data sets.
Consider this example code as a template that could be the source code generation of a macro:
NO is changed name to seq for better clarity
data want;
merge
have (where=(seq=1) rename=(dat1=A1 tim1=B1 dat2=C1 tim2=D1)
have (where=(seq=2) rename=(dat1=A2 tim1=B2 dat2=C2 tim2=D2)
have (where=(seq=3) rename=(dat1=A3 tim1=B3 dat2=C3 tim2=D3)
have (where=(seq=4) rename=(dat1=A4 tim1=B4 dat2=C4 tim2=D4)
;
by id;
run;
For unknown data sets organized like the above pattern, the code generation requirements should be obvious; determine maximum seq and have the names of variables to pivot be specified (as macro parameters, in which loop over the names occurs).
Way 2 - multiple transposes
Caution, all pivoted columns will be character type and contain the formatted result of original values.
proc transpose data=have(rename=(dat1=A tim1=B dat2=C tim2=D)) out=stage1;
by id seq;
var a b c d;
run;
proc transpose data=stage1 out=want;
by id;
var col1;
id _name_ seq;
run;
Way 3 - Use array and DOW loop
* presume SEQ is indeed a unit monotonic sequence value;
data want (keep=id a1--d4);
do until (last.id);
array wide A1-A4 B1-B4 C1-C4 D1-D4;
wide [ (seq-1)*4 + 1 ] = dat1;
wide [ (seq-1)*4 + 2 ] = tim1;
wide [ (seq-1)*4 + 3 ] = dat2;
wide [ (seq-1)*4 + 4 ] = tim2;
end;
keep id A1--D4;
* format A1 A3 B1 B3 C1 C3 D1 D3 your-date-format;
* format A2 A4 ................. your-time-format;
Way 4 - change your data values to datetime
I'll leave this to esteemed others
I have row data by account level and I wish to group them by the account owner as a new data. Yes will take the priority.
Account_Owner Account_No Ever_Purchase Ever_Purchase_within_2days Ever_Deliver_in_2weeks
Tom 12345 Yes Yes No
Tom 34567 Yes No Yes
Tom 09876 No No No
Desired Outcome
Account_Owner Ever_Purchase Ever_Purchase_within_2days Ever_Deliver_in_2weeks
Tom Yes Yes Yes
I am sorry that I don't have any code because I don't know where to start.
You can use a DOW loop to track the group result for each ever_* variable in a temporary array.
proc format;
value yesno .,0 = 'No' other='Yes';
data have; input
Account_Owner $ Account_No Ever_Purchase $ Ever_Purchase_within_2days $ Ever_Deliver_in_2weeks $;
datalines;
Tom 12345 Yes Yes No
Tom 34567 Yes No Yes
Tom 09876 No No No
;
data want;
array evals(100) _temporary_; * presume never more than 100 flag variables;
call missing (of evals(*));
* dow loop;
do until (last.account_owner);
set have;
by account_owner;
array flags ever:;
do _n_ = 1 to dim(flags);
evals(_n_) = evals(_n_) or flags(_n_) = 'Yes'; * compute aggregate result;
end;
end;
* move results back into original variables;
do _n_ = 1 to dim(flags);
flags(_n_) = put(evals(_n_), yesno.);
end;
* implicit output, one row per group combination;
run;
Note: In an alternative solution you can convert Yes/No to numeric 1/0 you can use Proc SUMMARY or Proc MEANS to computed the group result (max of var would be 1 if any Yes and 0 if all No)
This is my data:
ID DATA1 DATA2 DATA3 DATA4
1 yes yes yes
2 yes yes
3 yes yes
What I like to get:
DATA1
- ID1
- ID3
DATA2
- ID1
- ID2
DATA3
- ID2
DATA4
- ID1
- ID3
Anyone knows what query or formula I can use for this?
try:
=ARRAYFORMULA(TRANSPOSE(SPLIT(TEXTJOIN("♦", 1, TRANSPOSE({B1:E1;
IF(B2:E="yes", "- "&A1&A2:A, )})), "♦")))
I have two datasets. Both have a common column- ID. I would like to check if ID from df1 lies in df2 and extract all such rows from df1. I'm doing this in SAS.
It is easily done in one sql query.
proc sql;
create table extract_from_df1 as
select
*
from
df1
where
id in (select id from df2)
;
quit;
There are lots of ways to do this. For example:
proc sql;
create table compare as select distinct
a.id as id1, b.id as id2
from table1 as a
left join table2 as b
on a.id = b.id;
quit;
and then keep matches. Or you can try:
proc sql;
delete from table2 where id2 in select distinct id1 from table1;
quit;
data df1;
input id name $;
cards;
1 abc
2 cde
3 fgh
4 ijk
;
run;
data df2;
input id address $;
cards;
1 abc
2 cde
5 ggh
6 ihh
7 jjj
;
run;
data c;
merge df1(in=x) df2(in=y);
if x and y;
keep id name;
run;
proc print data=c;
run;
I know how to count group and subgroup numbers through proc freq or sql. My question is when some factor in the subgroup is missing, and I still want to show missing factor as 0. How can I do that? For example,
the data set is:
group1 group2
1 A
1 A
1 A
1 A
2 A
2 B
2 B
I want a result as:
group1 group2 N
1 A 4
1 B 0
2 A 1
2 B 2
If I only use the default SAS setting, it will usually show as
group1 group2 N
1 A 4
2 A 1
2 B 2
But I still want to the second line in the result tell to me that there are 0 observations in that category.
Use the SPARSE option within proc freq. Consider it a cross join between all options from GROUP1 and GROUP2.
data have;
input group1 group2 $;
cards;
1 A
1 A
1 A
1 A
2 A
2 B
2 B
;
run;
proc freq data=have;
table group1*group2/out=want sparse;
run;
proc print data=want;
run;
Reeza's sparse option works as long as each group is represented in your data at least once. Suppose there were a group1 3 that is not represented in your data, and you would still want them to show up in the frequency table. If that is the case, the solution is to create a reference table with all of your categories then right join your frequency table to it.
Create a reference table:
data ref;
do group1 = 1 to 3;
group2 = 'A';
output;
group2 = 'B';
output;
end;
run;
Create the frequency table with proc sql, right joining to the reference table:
proc sql;
select
r.group1,
r.group2,
count(h.group1) as freq
from
have h
right join ref r
on h.group1 = r.group1
and h.group2 = r.group2
group by
r.group1,
r.group2
order by
r.group1,
r.group2
;
quit;
Another option that's a cross between DWal's issue of "what if the data isn't in the data" and Reeza's One Proc, One Solution, is proc tabulate. If the format contains all possible values, even if the values don't appear, it works, with printmiss.
proc format;
value groupformat
1='Group 1'
2='Group 2'
3='Group 3'
;
quit;
data have;
input group1 group2 $;
cards;
1 A
1 A
1 A
1 A
2 A
2 B
2 B
;
run;
proc tabulate data=have;
class group1 group2/preloadfmt;
format group1 groupformat.;
tables group1*group2,n/printmiss misstext='0';
run;
How to do this via proc summary, using DWal's reference table to specify which combinations of values to use:
data ref;
do group1 = 1 to 3;
group2 = 'A';
output;
group2 = 'B';
output;
end;
run;
data have;
input group1 group2 $1.;
cards;
1 A
1 A
1 A
1 A
2 A
2 B
2 B
;
run;
proc summary nway data = have classdata=ref;
class group1 group2;
output out = summary (drop = _TYPE_);
run;
N.B. I had to tweak the have dataset slightly to make sure that group2 has length 1 in both datasets. If you use variables with the same name but different lengths in your classdata= and data= datasets, SAS will complain.