I want to import a dataset that has headers starting in row 4 and data starting in row 5. The data row is fine, which I have declared. The issue is getting headers when importing the xlsx file. It reads the first row as headers, when headers are in row 4.
proc import datafile= "&path\Countries_Data.xlsx"
dbms=xlsx
out=data replace;
sheet=Data;
Datarow=5;
run;
If you are importing from a .xlsx file, you can use the range argument to import specific row/columns from the input file:
proc import out = want datafile='c:\temp\have.xlsx'
dbms=xlsx replace;
range="'Data - Groups'$A4 : O12";
GETNAMES=YES;
run;
This seems to be the only solution, according to this source. Apparently, SAS does not have an option to declare from which record to pick up the headers when reading other types of files:
If your variable names are not on row 1, then you will need to use the GETNAMES=NO and DATAROW=n where n is the starting record of your data. Here is an example of skipping the first rows of data and reading data starting from row 5 while SAS assigns the variable names as VARn where n is a number:
proc import datafile='c:\temp\have.csv' out=class dbms=csv replace;
getnames=no;
datarow=5;
run;
Probably, the easiest solution is to fix the source file: delete the first 3 rows and then import to SAS.
Related
I have some SAS code from my editor here. I am learning to use SAS (this is my first time using it), so I'm not sure how much code is relevant.
proc import
datafile="C:\Users\barnedsm\Desktop\SAS\ToothGrowth.csv"
dbms=csv
out=tooth;
proc print data=tooth (obs=5);
run;
6. create two SAS data sets ToothGrowth_OJ and ToothGrowth_VC for the animals with the
delivery method orange juice and ascorbic acid, respectively. (5 points)
data ToothGrowth_OJ;
set tooth;
where (supp="OJ");
proc print data=ToothGrowth_OJ (obs=5);
run;
data ToothGrowth_VC;
set tooth;
where (supp="VC");
proc print data=ToothGrowth_VC (obs=5);
run;
7. save the two SAS data sets in a permanent folder on your computer. (5 points)
libname mylibr "C:\Users\barnedsm\Desktop\SAS";
data mylibr.ToothGrowth_OJ_permanent;
set ToothGrowth_OJ;
run;
libname mylibr "C:\Users\barnedsm\Desktop\SAS";
data mylibr.ToothGrowth_VC_permanent;
set ToothGrowth_VC;
run;
For the final question on my assignment, I am wanting to re-combine the last two datasets I made (ToothGrowth_OJ and ToothGrowth_VC) into one dataset (ToothGrowth_combined). How would I do this? My thoughts would be to use a subset function like I used to separate the two. The code I have in mind is below.
data ToothGrowth_combined;
set ToothGrowth_OJ(where=(supp="OJ"));
keep supp Len;
run;
This would tell SAS to keep the values from the ToothGrowth_OJ dataset that have OJ in the "supp" columns (which is all of them) and to keep the variable Len. Assuming that I have done this code correctly, I want to add in the values from my ToothGrwoth_VC dataset in a similar way, but the output is an empty dataset when I run the same code, but replace the "ToothGrowth_OJ" with "ToothGrowth_VC". Is there a way to use the subset code to take these two separate datasets and combine them into one, or an easier way?
Your starting code is doing these steps.
Using PROC IMPORT to guess how to read text file into a dataset.
Creates a subset of the data with only some of the observations.
Creates a second subset of the data.
To recombine the two subsets use the SET statement and list all of the input datasets you want. To limit the number of variables written to the output dataset use a KEEP statement.
data ToothGrowth_combined;
set ToothGrowth_OJ ToothGrowth_VC ;
keep supp Len;
run;
I am not sure why you added the WHERE= dataset option in your code attempt since by the way they were created they each only have observations with a single value of SUPP.
If you want to combine the permanent datasets instead (for example if you started a new SAS session with an empty WORK library) then use those dataset names instead in the SET. Just make sure the libref that points to them is defined in this SAS session.
libname mylibr "C:\Users\barnedsm\Desktop\SAS";
data ToothGrowth_combined;
set mylibr.ToothGrowth_OJ_permanent mylibr.ToothGrowth_VC_permanent;
keep supp Len;
run;
I'm importing a semi-colon delimited file as such
ID Segment Number Date Payment
1 A1 103RTR 10OCT17 10
2 A1 205FCD 11OCT17 11
...
the SAS doesn't like the mixture of numbers and characters when I import this txt file using this code:
proc import
out=want (drop=Number)
datafile="have"
dbms=dlm
replace;
delimiter=';';
options validvarname=v7 missing='';
run;
Even though i'm not trying to load in Number, which in the real dataset is much longer, like 12 numbers followed by four characters, it returns this error in the log
NOTE: Invalid data for Number in line 22157 21-30.
WARNING: Limit set by ERRORS= option reached. Further errors of this type will not be printed.
ERROR: Import unsuccessful. See SAS Log for details.
I would like to do a typical infile and informat but with having 32 variables and 2 million rows, I just cannit be taking the time to find out what range and style each variable needs to be read in. so I am asking whether there's a way to format that particular variable but sticking with the ease of proc import.
But I'm also asking whether this actually impacts my import? as the data seems fine when checking the output.
I would like to do a typical infile and informat but with having 32
variables and 2 million rows, I just cannit be taking the time to find
out what range and style each variable needs to be read in. so I am
asking whether there's a way to format that particular variable but
sticking with the ease of proc import.
Bad idea, garbage in = garbage out and you're only dealing with 32 variables so that's actually not that bad. Take the time to clean and import the data correctly pays off and you learn about the data in the process which speeds up further analysis. This step is not a waste of time.
After importing a data set, its a good idea to run a PROC MEANS and PROC FREQ and review the output to ensure it was read correctly.
proc means data=have;
run;
proc freq data=have;
run;
Set GUESSINGROWS=MAX in the PROC IMPORT. This forces SAS to scan the whole file before importing it, which will then be more likely correct. If you're automating this process and reading the file more than once, then take the code from the log and use that instead of PROC IMPORT, once you've verified the data.
And the option statement should not be within the PROC IMPORT step, it goes before.
options validvarname=v7 missing='';
proc import
out=want (drop=Number)
datafile="have"
dbms=dlm
replace;
delimiter=';';
guessingrows=max;
run;
As I am new to SAS I am having trouble to import spss data into sas using the "proc import" command. The code I was using:
proc import datafile = "C:\Users\spss.sav"
out=work.test
dbms = sav
replace;
run;
The main problem is that when imported to sas, the datatable variables have the values and not the coding. So for instance if the variable "Gender" is coded 1=male 2=female, each observation in sas has "female" or "male".
Now according to here:
Proc Import from SPSS
if the following code is added after the code above, then this problem ceases to exist:
proc datasets;
modify my_dataset;
format _all_;
quit;
What still remains is that the Variable names from spss, instead of having their name, when imported to sas they have the labels that are assigned in spss. Is there any command that can keep the Names of the variables in SAS, instead of the SPSS labels?
It's possible that you are seeing column labels but that the underlying names still exist. You can modify your datasets procedure to remove the labels as well as the formats. Try this after your proc import:
proc datasets library = work;
modify test;
attrib _ALL_ label = " " format =;
run;
The attrib statement is applying a blank label and format to every variable.
I had a similar problem. I had yearly SPSS datasets for a survey and the same format, call it "Yearformat" would go 0=2011, 1=2012, ... for the 2011 data, but 0=2012, 1=2013, ..., for 2012 data, etc. It seems like there should be a better solution, but what I did was ..
SPSS -> save as SAS 9 for windows.. and click the option to output the formats to a sas dataset and then applied / modified the formats as necessary along the way .. mainly data datacopy ; set data ; newyear = put(year,yearformat.) to preserve the proper years.
But the point is, SPSS will create a sas dataset without the formats and a script with the formats and code to apply/modify the dataset with those formats. So you have control over the process.
Situation, I am able to import an "xls" file if I manually delete the last row of the file before importing it. I do not know the number of observations in the file beforehand, therefore I cannot use the endrow = XX statement to skip the last row.
proc import
out = testing
datafile = "C:\data\file1.xls"
dbms = xls replace;
namerow = 4;
startrow = 6;
run;
thanks
Can you save the .xls as a .csv file first? Then you can use the data step instead, and eliminate the last row based on last observation check or an if then check for specific data. But here you will have to set up the names yourself, you do not have 'getnames' option.
The following code is supposed to import data from Access to SAS:
PROC IMPORT OUT=TEST
DATATABLE='Individual Profiles'
DBMS=ACCESS REPLACE;
DATABASE="E:\dummytext.accdb";
USEDATE=YES;
SCANTIME=NO;
DBSASLABEL=NONE;
RUN;
DATA OUTPUT;
SET TEST;
RUN;
Unfortunately the data is cut off. For example: The original Access variable contains 400 words but gets cut off at 77 words in SAS.