I am trying to export SAS data into CSV, sas dataset name is abc here and format is
LINE_NUMBER DESCRIPTION
524JG 24PC AMEFA VINTAGE CUTLERY SET "DUBARRY"
I am using following code.
filename exprt "C:/abc.csv" encoding="utf-8";
proc export data=abc
outfile=exprt
dbms=tab;
run;
output is
LINE_NUMBER DESCRIPTION
524JG "24PC AMEFA VINTAGE CUTLERY SET ""DUBARRY"""
so there is double quote available before and after the description here and additional doble quote is coming after & before DUBARRY word. I have no clue whats happening. Can some one help me to resolve this and make me understand what exatly happening here.
expected result:
LINE_NUMBER DESCRIPTION
524JG 24PC AMEFA VINTAGE CUTLERY SET "DUBARRY"
There is no need to use PROC EXPORT to create a delimited file. You can write it with a simple DATA step. If you want to create your example file then just do not use the DSD option on the FILE statement. But note that depending on the data you are writing that you could create a file that cannot be properly parsed because of extra un-protected delimiters. Also you will have trouble representing missing values.
Let's make a sample dataset we can use to test.
data have ;
input id value cvalue $ name $20. ;
cards;
1 123 A Normal
2 345 B Embedded|delimiter
3 678 C Embedded "quotes"
4 . D Missing value
5 901 . Missing cvalue
;
Essentially PROC EXPORT is writing the data using the DSD option. Like this:
data _null_;
set have ;
file 'myfile.txt' dsd dlm='09'x ;
put (_all_) (+0);
run;
Which will yield a file like this (with pipes replacing the tabs so you can see them).
1|123|A|Normal
2|345|B|"Embedded|delimiter"
3|678|C|"Embedded ""quotes"""
4||D|Missing value
5|901||Missing cvalue
If you just remove DSD option then you get a file like this instead.
1|123|A|Normal
2|345|B|Embedded|delimiter
3|678|C|Embedded "quotes"
4|.|D|Missing value
5|901| |Missing cvalue
Notice how the second line looks like it has 5 values instead of 4, making it impossible to know how to split it into 4 values. Also notice how the missing values have a minimum length of at least one character.
Another way would be to run a data step to convert the normal file that PROC EXPORT generates into the variant format that you want. This might also give you a place to add escape characters to protect special characters if your target format requires them.
data _null_;
infile normal dsd dlm='|' truncover ;
file abnormal dlm='|';
do i=1 to 4 ;
if i>1 then put '|' #;
input field :$32767. #;
field = tranwrd(field,'\','\\');
field = tranwrd(field,'|','\|');
len = lengthn(field);
put field $varying32767. len #;
end;
put;
run;
You could even make this datastep smart enough to count the number of fields on the first row and use that to control the loop so that you wouldn't have to hard code it.
i am having an issue with a large data set when reading it into sas that contains a review_text column with large text values. The first column review_id is listing the observation rather than the actual id. The other columns have wrong values and are being displaced within other variables.
DATA review;
INFORMAT review_id $50. ;
INFORMAT review_text $5000. ;
INFORMAT business_name $100. ;
INFORMAT business_id $100. ;
INFORMAT review_date mmddyy10. ;
INFORMAT city $25. ;
INFORMAT state $20. ;
INFORMAT address $250. ;
INFORMAT user_id $100. ;
INFORMAT user_name $100. ;
INFORMAT friends $500. ;
INFORMAT yelping_since mmddyy10. ;
INFORMAT categories $100. ;
INFILE 'C:\users\scott\desktop\yelp_food_reviews.csv' DELIMITER= ',' dsd LRECL=32767 FIRSTOBS=2;
INPUT review_id $ review_text $ business_name $ business_id $ review_date review_ratingbusiness_rating num_biz_reviews city $ state $ address $ postal_code 8. latitude 8.10 longitude 8.10 mon_hours $ tues_hours $ wed_hours $ thurs_hours $ fri_hours $ sat_hours $ sun_hours $ user_id $ user_name $ user_reviews_given 8. ave_rating_given 4.1 friends $ yelping_since categories $ is_open 1.;
run;
enter image description here
I'm trying to create variables Cap1 through Cap6. I'm not sure how to have read them as character data. My code is:
DATA Capture;
INFILE '/folders/myfolders/sasuser.v94/Capture.txt' DLM='09'x DSD MISSOVER FIRSTOBS=2;
INPUT Sex $ AgeGroup $ Weight Cap1 - Cap6 $;
RUN;
And my issue is Cap1 through Cap5 are interpreted as numerical data. How do I solve this?
Your issue is simple: you are using a variable list, but you aren't applying the $ to the whole variable list! You need ( ) around the list and the modifier to apply it to the whole list.
See:
DATA Capture;
INFILE datalines DLM=' ' DSD;
INPUT Sex $ AgeGroup $ Weight (Cap1 - Cap6) ($);
datalines;
M 18-34 135 A B C D E F
F 35-54 115 G H I J K L
;;;;
RUN;
Indeed,
I would also expect this input statement to work as you did, but it does not. Putting a $ after Cap1 does not resolve it either, as this log shows.
26 INPUT Sex $ AgeGroup $ Weight Cap1 $ - Cap6 $;
_
22
ERROR 22-322: Expecting a name.
You can solve it
by assigning a format to your variables before reading them, for instance format Cap1 - Cap6 $2.;
To test it,
I included the data in the source file, i.e. using datalines
DATA Capture;
INFILE datalines DLM='09'x DSD missover FIRSTOBS=1;
format Sex $1. AgeGroup $9. Weight 8.2 Cap1 - Cap6 $2.;
INPUT Sex AgeGroup Weight Cap1 - Cap6;
datalines;
M 1-5 24.5 11 12 13 14 15 16
M 6-10 34.2 21 22 23 24 25 26
;
proc print;
proc contents;
RUN;
How to understand this:
SAS was originally created as a programming language for non-developers (i.c. statisticians) who rather don't care about data formats, so SAS does a lot of guess work for you (just like VBA if you don't use option explicit).
So, the first time you mention a variable name in a data step, SAS ads a variable to the Program Data Vector (PDV) with an apropriate type (numeric or charater) and length, but this is guess work.
For instance: as the first student in the test dataset CLASS included in the standard instalation of SAS is male,
data WORK.CLASS;
set sasHelp.CLASS;
select (sex);
when ('M') gender = 'male';
when ('F') gender = 'female';
otherwise gender = 'unknown';
end;
run;
results in truncating 'female' to four positions:
You can correct that by instructing sas to add the variable to the PDV beforehand.
For a character variable,
format myName $20.; and
length myName $20.; are equivalent and
informat myName $20.; is also about the same.
(The storry becomes more complex with user defined formats, though.)
For numerics, there is a huge difference:
length mySize 8.; preserves 8 bytes in the PDV for mySize
format mySize 8.; tells SAS to print or display mySize with up to 8 digits and no decimals
informat mySize $20.; tells SAS a expect 8 digits without decimals when reading mySize.
Numericals can only have certain lengths, depending on the operatin system. On windowns
8. is the default and corresponds to a double on most databases
4. corresponds to a float
3. is the minimum, which I use for booleans
Formats can be very different
format mySize 8.3; tells SAS tot print mySize with 8 characters, including 3 decimals for the fraction (which leaves room for up to 4 decimals before the decimal dot if it has a positive value. Less decimals will be printed to display larger numbers)
format mySize 8.3; tells SAS tot read mySize assuming the last 3 decimals are the fraction, so 12345678 will be interpreted as 12345.678
Then there are special formats to read and write dates, times and so on and user defined value and picture formats, but that lead me too far.
Given the csv:
Cat,,9
Dog,,10
Egg,,11
And the code:
DATA database ;
INFILE '/path/to/data' dlm=',' missover;
INPUT
animal $
missing $
number
;
RUN;
The output I get is:
animal missing number
Cat 9
Dog 10
Egg 11
How can I get SAS to recognize the missing value, so that my output table is like the one below?
animal missing number
Cat 9
Dog 10
Egg 11
You just need to include dsd in your infile statement as this signifies that SAS should treat two consecutive commas as a missing value. You can read more information here:
DATA database ;
INFILE '/path/to/data' dlm=',' missover dsd;
INPUT
animal $
missing $
number
;
RUN;
I am currently using SAS version 9 to try and read in a flat file in .txt format of a HTML table that I have taken from the following page (entitled Wayne Rooney's Match History):
http://www.whoscored.com/Players/3859/Fixtures/Wayne-Rooney
I've got the data into a .txt file using a Python webscraper using Scrapy. The format of my .txt file is like thus:
17-08-2013,1 : 4,Swansea,Manchester United,28',7.26,Assist Assist,26-08-2013,0 : 0,Manchester United,Chelsea,90',7.03,None,14-09-2013,2 : 0,Manchester United,Crystal Palace,90',8.44,Man of the Match Goal,17-09-2013,4 : 2,Manchester United,Bayer Leverkusen,84',9.18,Goal Goal Assist,22-09-2013,4 : 1,Manchester City,Manchester United,90',7.17,Goal Yellow Card,25-09-2013,1 : 0,Manchester United,Liverpool,90',None,Man of the Match Assist,28-09-2013,1 : 2,Manchester United,West Bromwich Albion,90'...
...and so on. What I want is a dataset that has the same format as the original table. I know my way round SAS fairly well, but tend not to use infile statements all that much. I have tried a few variations on a theme, but this syntax has got me the nearest to what I want so far:
filename myfile "C:\Python27\Football Data\test.txt";
data test;
length date $10.
score $6.
home_team $40.
away_team $40.
mins_played $3.
rating $4.
incidents $40.;
infile myfile DSD;
input date $
score $
home_team $
away_team $
mins_played $
rating $
incidents $ ;
run;
This returns a dataset with only the first row of the table included. I have tried using fixed widths and pointers to set the dataset dimensions, but because the length of things like team names can change so much, this is causing the data to be reassembled from the flat file incorrectly.
I think I'm most of the way there, but can't quite crack the last bit. If anyone knows the exact syntax I need that would be great.
Thanks
I would read it straight from the web. Something like this; this works about 50% but took a whole ten minutes to write, i'm sure it could be easily improved.
Basic approach is you use #'string' to read in text following a string. You might be better off reading this in as a bytestream and doing a regular expression match on <tr> ... </tr> and then parsing that rather than taking the sort of more brute force method here.
filename rooney url "http://www.whoscored.com/Players/3859/Fixtures/Wayne-Rooney" lrecl=32767;
data rooney;
infile rooney scanover;
retain are_reading;
input #;
if find(_infile_,'<table id="player-fixture" class="grid fixture">')
then are_reading=1;
if find(_infile_,'</table>') then are_reading=0;
if are_reading then do;
input #'<td class="date">' date ddmmyy10.
#'class="team-link">' home_team $20.
#'class="result-1 rc">' score $10.
#'class="team-link">' away_team $20.
#'title="Minutes played in this match">' mins_played $10.
#'title="Rating in this match">' rating $6.
;
output;
end;
run;
As far as reading the scrapy output, you should change at least two things:
Add the delimiter. Not truly necessary, but I'd consider the code incorrect without it, unless delimiter is space.
Add a trailing "##" to get SAS to hold the line pointer, since you don't have line feeds in your data.
data want;
infile myfile flowover dlm=',' dsd lrecl=32767;
length date $10.
score $6.
home_team $40.
away_team $40.
mins_played $3.
rating $4.
incidents $40.;
input date $
score $
home_team $
away_team $
mins_played $
rating $
incidents $ ##;
run;
Flowover is default, but I like to include it to make it clear.
You also probably want to input the date as a date value (not char), so informat date ddmmyy10.;. The rating is also easily input as numeric if you want to, and both mins played and score could be input as numeric if you're doing analysis on those by adding ' and : to the delimiter list.
Finally, your . on length is incorrect; SAS is nice enough to ignore it, but . is only placed like so for formats.
Here's my final code:
data want;
infile "c:\temp\test2.txt" flowover dlm="',:" lrecl=32767;
informat date ddmmyy10.
score_1 score_2 2.
home_team $40.
away_team $40.
mins_played 3.
rating 4.2
incidents $40.;
input date
score_1
score_2
home_team $
away_team $
mins_played
rating ??
incidents $ ##;
run;
I remove the dsd as that's incompatible with the ' delimiter; if DSD is actually needed then you can add it back, remove that delimiter, and read minutes in as char. I add ?? for rating as it sometimes is "None" so ?? ignores the warnings about that.