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edesantis
Calcite | Level 5

I have a .json file I need to read into sas.  This file has a row with headers and then has the rows of data listed below.  Can anyone assist in what the sas code to import this data correctly would look like?

 

{"headers":
[["Grad Rates Over Time","4-Year Rate 2000","4-Year Rate 2001","4-Year Rate 2002","4-Year Rate 2003","4-Year Rate 2004","4-Year Rate 2005","4-Year Rate 2006","4-Year Rate 2007","4-Year Rate 2008","4-Year Rate 2009","4-Year Rate 2010"]],
"rows":
[["California State University-Bakersfield","11.5%","13.3%","14.1%","14.1%","14.6%","12.9%","17.2%","14.9%","14.1%","15.0%","16.0%"],
["California State University-East Bay","14.5%","16.7%","16.3%","10.8%","16.0%","16.5%","14.5%","16.0%","14.9%","10.8%","10.4%"],
["California State University-San Bernardino","11.6%","10.0%","12.4%","10.0%","12.2%","13.3%","13.1%","12.9%","11.3%","9.4%","12.6%"],["California State University-Stanislaus","18.9%","21.5%","20.0%","18.6%","21.1%","21.6%","23.4%","20.4%","17.5%","18.2%","14.8%"],["Columbus State University","9.4%","8.1%","11.6%","11.2%","10.0%","11.2%","12.2%","12.3%","13.4%","12.1%","11.9%"],["CUNY John Jay College of Criminal Justice","10.8%","13.3%","17.1%","19.4%","20.7%","23.1%","21.2%","19.0%","21.0%","25.3%","22.3%"],["CUNY York College","5.7%","7.3%","6.3%","7.5%","6.0%","5.3%","3.7%","3.6%","4.0%","5.2%","7.8%"],["Francis Marion University","29.0%","18.2%","15.8%","20.0%","19.3%","20.0%","18.7%","19.8%","17.9%","16.4%","15.4%"],["Kean University","13.7%","16.1%","15.7%","17.3%","16.5%","18.8%","16.7%","20.7%","19.2%","18.9%","18.4%"],["Lamar University","16.8%","16.1%","17.9%","19.5%","18.1%","9.5%","11.1%","10.2%","10.9%","13.1%","11.0%"],["Northeastern Illinois University","1.6%","2.3%","2.8%","2.2%","2.8%","3.4%","3.8%","5.3%","3.9%","4.1%","5.0%"],["Texas A & M University-Corpus Christi","19.5%","18.4%","19.9%","16.4%","18.0%","18.6%","17.0%","20.6%","20.2%","24.3%","19.5%"],["Texas A & M University-Kingsville","8.4%","7.2%","9.6%","8.0%","14.0%","7.2%","10.8%","13.7%","13.0%","17.7%","16.8%"],["Texas Woman's University","21.1%","12.8%","21.2%","22.5%","27.6%","22.4%","23.1%","17.7%","22.6%","22.3%","23.3%"],["University of North Carolina at Pembroke","21.3%","18.7%","20.1%","14.5%","14.2%","16.4%","15.2%","14.8%","15.9%","15.4%","14.9%"],["Winston-Salem State University","21.8%","21.6%","19.4%","20.2%","18.1%","14.0%","13.1%","15.9%","14.8%","17.8%","17.3%"]]}

7 REPLIES 7
Ksharp
Super User

There is a JSON Package in PROC DS2 . But for me not familiar with it , I would like to use data step:

 

 

data have;
infile '/folders/myfolders/have.json' recfm=n dsd dlm='[]{},:';
input temp : $100. @@;
if missing(temp) then group+1;
if findw(temp,'headers') or 
   find(temp,'"rows"') or 
   prxmatch('/^\s/',temp) then delete;
run;
proc transpose data=have out=temp(drop=_name_ group rename=(col1=label));
by group;
var temp;
run;
proc transpose data=temp out=want(drop=_name_);
var col:;
id label;
idlabel label;
run;
proc print noobs label;run;

x.png

 

Ksharp
Super User

Chris,

That doesn't matter  as long as you got that label and make sure variable name is unique .

ChrisNZ
Tourmaline | Level 20

I would argue it matters to have the name right rather than the label in the vast majority of cases, but to each their own. 🙂

Ksharp
Super User

Chris,

If you want make variable name looks better , just change the ID variable.

 

data have;
infile '/folders/myfolders/have.json' recfm=n dsd dlm='[]{},:';
input temp : $100. @@;
if missing(temp) then group+1;
if  prxmatch('/^\s|^headers/',temp) then delete;
run;
proc transpose data=have out=temp(drop=_name_ rename=(col1=label));
by group;
var temp;
run;
proc transpose data=temp out=want(drop=_name_);
var col:;
id group;
idlabel label;
run;
proc print noobs label;run;
ChrisNZ
Tourmaline | Level 20

Like this?

 


data _null_;
  file "%sysfunc(pathname(WORK))\t.txt" lrecl=32000;
  infile cards pad truncover;
  input X $32000.;
  L=length(X);
  put X $varying32000. L; 
cards;
{"headers":
[["Grad Rates Over Time","4-Year Rate 2000","4-Year Rate 2001","4-Year Rate 2002","4-Year Rate 2003","4-Year Rate 2004","4-Year Rate 2005","4-Year Rate 2006","4-Year Rate 2007","4-Year Rate 2008","4-Year Rate 2009","4-Year Rate 2010"]],
"rows":
[["California State University-Bakersfield","11.5%","13.3%","14.1%","14.1%","14.6%","12.9%","17.2%","14.9%","14.1%","15.0%","16.0%"],
["California State University-East Bay","14.5%","16.7%","16.3%","10.8%","16.0%","16.5%","14.5%","16.0%","14.9%","10.8%","10.4%"],
["California State University-San Bernardino","11.6%","10.0%","12.4%","10.0%","12.2%","13.3%","13.1%","12.9%","11.3%","9.4%","12.6%"],["California State University-Stanislaus","18.9%","21.5%","20.0%","18.6%","21.1%","21.6%","23.4%","20.4%","17.5%","18.2%","14.8%"],["Columbus State University","9.4%","8.1%","11.6%","11.2%","10.0%","11.2%","12.2%","12.3%","13.4%","12.1%","11.9%"],["CUNY John Jay College of Criminal Justice","10.8%","13.3%","17.1%","19.4%","20.7%","23.1%","21.2%","19.0%","21.0%","25.3%","22.3%"],["CUNY York College","5.7%","7.3%","6.3%","7.5%","6.0%","5.3%","3.7%","3.6%","4.0%","5.2%","7.8%"],["Francis Marion University","29.0%","18.2%","15.8%","20.0%","19.3%","20.0%","18.7%","19.8%","17.9%","16.4%","15.4%"],["Kean University","13.7%","16.1%","15.7%","17.3%","16.5%","18.8%","16.7%","20.7%","19.2%","18.9%","18.4%"],["Lamar University","16.8%","16.1%","17.9%","19.5%","18.1%","9.5%","11.1%","10.2%","10.9%","13.1%","11.0%"],["Northeastern Illinois University","1.6%","2.3%","2.8%","2.2%","2.8%","3.4%","3.8%","5.3%","3.9%","4.1%","5.0%"],["Texas A & M University-Corpus Christi","19.5%","18.4%","19.9%","16.4%","18.0%","18.6%","17.0%","20.6%","20.2%","24.3%","19.5%"],["Texas A & M University-Kingsville","8.4%","7.2%","9.6%","8.0%","14.0%","7.2%","10.8%","13.7%","13.0%","17.7%","16.8%"],["Texas Woman's University","21.1%","12.8%","21.2%","22.5%","27.6%","22.4%","23.1%","17.7%","22.6%","22.3%","23.3%"],["University of North Carolina at Pembroke","21.3%","18.7%","20.1%","14.5%","14.2%","16.4%","15.2%","14.8%","15.9%","15.4%","14.9%"],["Winston-Salem State University","21.8%","21.6%","19.4%","20.2%","18.1%","14.0%","13.1%","15.9%","14.8%","17.8%","17.3%"]]}
run;

data _null_;
  infile "%sysfunc(pathname(WORK))\t.txt" lrecl=32000 firstobs=2 pad truncover;
  input X $32000.;
  X=tranwrd(X,'",','"n ');
  X=tranwrd(X,'"]','"n ');
  X=compress(X,'[],');  
  call symputx('names',X);
  stop;
run;

data WANT;
  infile "%sysfunc(pathname(WORK))\t.txt" lrecl=32000 firstobs=4 dlm='"},' pad truncover termstr=']';
  length &names. $64;
  input @'[' &names. ;
  putlog _N_= (&names)(=); 
  if lengthn(cats(of &names.));
run;

proc print noobs;
run;

 

Grad Rates Over Time 4-Year Rate
2000
4-Year Rate
2001
4-Year Rate
2002
4-Year Rate
2003
4-Year Rate
2004
4-Year Rate
2005
4-Year Rate
2006
4-Year Rate
2007
4-Year Rate
2008
4-Year Rate
2009
4-Year Rate
2010
California State University-East Bay 14.5% 16.7% 16.3% 10.8% 16.0% 16.5% 14.5% 16.0% 14.9% 10.8% 10.4%
California State University-San Bernardino 11.6% 10.0% 12.4% 10.0% 12.2% 13.3% 13.1% 12.9% 11.3% 9.4% 12.6%
California State University-Stanislaus 18.9% 21.5% 20.0% 18.6% 21.1% 21.6% 23.4% 20.4% 17.5% 18.2% 14.8%
Columbus State University 9.4% 8.1% 11.6% 11.2% 10.0% 11.2% 12.2% 12.3% 13.4% 12.1% 11.9%
CUNY John Jay College of Criminal Justice 10.8% 13.3% 17.1% 19.4% 20.7% 23.1% 21.2% 19.0% 21.0% 25.3% 22.3%
CUNY York College 5.7% 7.3% 6.3% 7.5% 6.0% 5.3% 3.7% 3.6% 4.0% 5.2% 7.8%
Francis Marion University 29.0% 18.2% 15.8% 20.0% 19.3% 20.0% 18.7% 19.8% 17.9% 16.4% 15.4%
Kean University 13.7% 16.1% 15.7% 17.3% 16.5% 18.8% 16.7% 20.7% 19.2% 18.9% 18.4%
Lamar University 16.8% 16.1% 17.9% 19.5% 18.1% 9.5% 11.1% 10.2% 10.9% 13.1% 11.0%
Northeastern Illinois University 1.6% 2.3% 2.8% 2.2% 2.8% 3.4% 3.8% 5.3% 3.9% 4.1% 5.0%
Texas A & M University-Corpus Christi 19.5% 18.4% 19.9% 16.4% 18.0% 18.6% 17.0% 20.6% 20.2% 24.3% 19.5%
Texas A & M University-Kingsville 8.4% 7.2% 9.6% 8.0% 14.0% 7.2% 10.8% 13.7% 13.0% 17.7% 16.8%
Texas Woman's University 21.1% 12.8% 21.2% 22.5% 27.6% 22.4% 23.1% 17.7% 22.6% 22.3% 23.3%
University of North Carolina at Pembroke 21.3% 18.7% 20.1% 14.5% 14.2% 16.4% 15.2% 14.8% 15.9% 15.4% 14.9%
Winston-Salem State University 21.8% 21.6% 19.4% 20.2% 18.1% 14.0% 13.1% 15.9% 14.8% 17.8% 17.3%
PGStats
Opal | Level 21

Proc JSON is only for writing json files. For importing a small (<32k) json file you could transform it into a CSV file first, like this:

 

/* Temporary file to hold CSV copy of data */
filename dum temp;

/* Extract headers and data rows from json file */
data _null_;
length str $32767 headers row $1000;
if not prx1 then prx1 + prxparse('/"headers":\s*\[\[(.*?)\]\]/i');
if not prx2 then prx2 + prxparse('/"rows":\s*\[(\[.*?\])\]/i');
if not prx3 then prx3 + prxparse('/\[.*?\]/');

/* Load entire file into a single string */
infile "&sasforum.\Datasets\JSON example.txt" end=done;
do until(done);
    input;
    str = catx(" ", str, _infile_);
    end;

/* Get and copy headers */
file dum;
if prxMatch(prx1, str) then do;
    headers = prxPosn(prx1, 1, str);
    put headers;
end;
  
/* Get and copy each row */
if prxMatch(prx2, str) then do;
    call prxPosn(prx2, 1, pos, len);
    start = pos;
    stop = pos + len - 1;
    call prxNext(prx3, start, stop, str, pos, len);
    do while(pos > 0);
        row = substr(str, pos+1, len-2);
        row = prxChange('s/"([0-9.%-]+?)"/\1/', -1, row);
        put row;
        call prxNext(prx3, start, stop, str, pos, len);
        end;
    end;
stop;
run;

/* Import temp file as a CSV file with headers */
proc import datafile="dum" out=test dbms=csv replace; 
guessingrows=max;
run;

Note that proc import doesn't like the percent character in numeric fields. Numeric fields without percent signs would be imported properly as numeric variables.

PG

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