I ´have a dataset with formats attached to it and I dont want to remove the formats from the dataset and when I use proc freq or proc print, I want the original values and not the formats attached.
Proc print data=mylib.data;
run;
is there any format=no option?
proc freq data=mylib.data;
tables gender;
format?????
run;
You can remove a format by specifying a null format on the PROC strep:
proc freq data=mylib.data ;
tables gender ;
format _ALL_ ;
run ;
_ALL_ is a list of all variables in the dataset.
Related
I've created a user defined format by using proc format statements.Would like to create a macro over it in a way that if the input data changes, the code should able to do change accordingly.
Here is the code:
proc format ;
value $a 1='1-sepstrata'
0='0-Non-sepstrata'
A='A-sepstrata';
run;
In the dateset I've,a columns named stratum which has unique values such as 1,0,A.
Select the distinct values of STRATA and use it to generate the format definition in a file. Then use PROC FORMAT to create the format.
proc sql;
create table fmtdef as
select '$A' as fmtname
, strata as start
, catx('-',strata
,case when (strata='0') then 'Non-sepstrata' else 'sepstrata' end
) as label
from have
group by strata
order by fmtname,start
;
quit;
proc format lib=work.formats cntlin=fmtdef;
run;
I'm wondering if it's possible to save the query results to csv? Without creating views.
I have a large table but need only 2 columns from there to process with python then. Maybe someone can help with it?
Here are three ways
ODS
SQL query can be output to an ODS CSV destination. This approach encompasses the widest possibilities of querying.
ods csv file='c:\temp\query-results.csv';
proc sql;
select name, age
from sashelp.class
where name like 'J%'
;
quit;
ods csv close;
EXPORT Procedure
Where clause can be applied using kept columns of 'a large table' (data=)
proc export
data = sashelp.class(
keep=name age
where = (
name like 'J%'
)
)
replace
file = 'c:\temp\class-subset.csv'
dbms = csv
;
run;
DATA _null_
Where statement can be applied using any columns of 'a large table' (SET). The PUT statement manages which columns are output.
data _null_;
set sashelp.class;
where name like 'J%';
file 'c:\temp\subset-per-datastep.csv' dlm=',' dsd;
if _n_ = 1 then put 'name,age';
put name age;
run;
I think you can use ods to create file with results, for example:
ods csv file="C:\test.csv" options(delimiter=';');
proc sql;
select * from sashelp.class;
quit;
ods csv close;
I have approximately 1,000,000 rows and 25 columns of data and I'm trying to return a list of column names, the number of distinct values and whether there are missing values.
I am not able to directly code in column names in PROC SQL and count distinct as I have numerous data sets with different column names and I'm trying to automatically return the desired outcome for all tables with one piece of code.
I've tried running the following code
proc freq nlevels data= &DATASET_NAME;
ods output nlevels=nlevels ;
tables _all_ NOPRINT;
run;
This returns an out of memory error. Is there another way to achieve the result, avoiding the out of memory error.
It is unnecessary to input column name by table _all_, but it possibly makes out of memory by inputting all columns at the same time, try to separate column to do proc freq and then combine results:
proc sql;
create table name as
select name from dictionary.columns where libname='SASHELP' and memname='CLASS';
quit;
data want;
run;
data _null_;
set name;
call execute(
'proc freq data=class nlevels;
table '||name||';
ods output nlevels=nlevels;
run;
data want;
set want nlevels;
run;'
);
run;
This question is very similar to SAS summary statistic from a dataset
The answers cover techniques for
transpose + freq
hash
freq w/ ODS exclude+output
I have the following statement
Proc Freq data =test;
tables gender;
run;
I want this to generate an output based on a condition applied to the gender variable. For example - if count of gender greater than 2 then output.
How can I do this in SAS?
Thanks
If you mean an output dataset, you can put a where clause directly in the output dataset options.
Proc Freq data =sashelp.class;
tables sex/out=sex_freq(where=(count>9));
run;
I'm not aware of how you can accomplish this only using proc freq but you can redirect the output to a data set and then print the results.
proc freq data=test;
tables gender / noprint out=tmp;
run;
proc print data=tmp;
where count > 2;
run;
Alternatively you could use proc summary, but this still requires two steps.
proc summary data=test nway;
class gender;
output out=tmp(where=(_freq_ > 2));
run;
proc print data=tmp;
run;
I am a newbie to SAS Base, and I am struggling to create a simple program that extracts data from a table on my database, runs e.g. PROC MEANS, and writes the data back to the table.
I know how to use PROC SQL (read and update tables) and PROC MEANS, but I can't figure out how to combine the steps.
PROC SQL;
SELECT make,model,type,invoice,horsepower
FROM
SASHELP.CARS
;
QUIT;
PROC Means;
RUN;
What I want to accomplish is create an additional column in the dataset with e.g. the mean of the horsepower.. and in the end I want to write that computed column to the table on the database.
Edit
What I was looking for is this:
PROC SQL;
create table want as
select make,model,type,invoice,horsepower
, mean(horsepower) as mean_horsepower
from sashelp.cars
;
QUIT;
PROC MEANS DATA=want;
RUN;
SAS makes this very easy to do with SQL since it will automatically remerge summary statistics back to detailed records.
create table want as
select make,model,type,invoice,horsepower
, mean(horsepower) as mean_horsepower
from sashelp.cars
;
Or using normal SAS code.
proc means data=sashelp.cars nway noprint ;
var horsepower ;
output out=mean_horsepower mean=mean_horsepower ;
run;
data want ;
set sashelp.cars ;
if _n_=1 then set mean_horsepower (keep=mean_horsepower);
run;