csv file numeric variable converted into char variable

saraphdnz · Posted 04-12-2020 12:28 AM

Hello there,

I am importing a csv file but my variables converted into char variable. Please advise what will be the best way to import data from excel to get the data as numeric variables. Thanks Sara

proc import datafile='H:\Paper 3 SAS\Test1\Jan1990.csv'
out=Myfiles.Jan93 
DBMS= CSV Replace
;
run;

proc contents data=Myfiles.Jan93;
run;

Kurt_Bremser · Posted 04-12-2020 01:42 AM

Do NOT (I repeat: NOT) inspect a csv file with Excel. You will see what Excel thinks about the data, not what is really in there.

Open the csv file with a text editor, and copy/paste a few lines into a window opened with the </> button. Then we can show you how to read the data with a data step.

proc import relies on making guesses about the data; by writing the data step yourself, you take control.

Maxims of Maximally Efficient SAS Programmers
How to convert datasets to data steps
The macro for direct download as ZIP
How to post code
Please vote for Provide Sequential Search Capability for Hash Objects
How to deal with locked files on UNIX

saraphdnz · Posted 04-12-2020 02:29 AM

Please see below the lines from my csv file.

"Date","F29","F30","F31","F32","F33","F34","F42","F43","F44","F45","F46","F47","F48","F119","F121","F122","F127","F128","F129","F130","F131","F137","F138","F139","F140","F141","F142","F143","F161","F162","F163","F164","F168","F169","F197","F198","F199","F200","F201","F202","F203","F212","F213","F214","F215","F216","F245","F246","F247","F248","F249","F250","F251","F252","F271","F272","F275","F288","F289","F290","F291","F292","F293","F294","F295","F296","F305","F306","F307","F308","F309","F310","F311","F312","F313","F314","F315","F316","F317","F318","F319","F320","F321","F322","F323","F324","F325","F326","F327","F328","F329","F330","F331","F332","F333","F334","F335","F336","F337","F338","F339","F340","F341","F342","F343","F344","F345","F346","F347","F348","F349","F350","F351","F352","F353","F354","F355","F356","F357","F358","F359","F360","F361","F362","F363","F364","F365","F366","F367","F368","F369","F370","F371","F372","F391","F392","F393","F394","F395","F396","F397","F398","F399","F400","F401","F402","F403","F404","F405","F406","F407","F408","F409","F410","F411","F412","F413","F414","F415","F416","F417","F418","F419","F420","F421","F422","F423","F424","F425","F426","F427","F428","F429","F430","F431","F432","F433","F434","F435","F436","F437","F438","F439","F440","F441","F444","F445","F446","F447","F449","F450","F527","F549","F551","F559","F560","F561","F562","F563","F569","F570","F571","F572","F573","F574","F575","F594","F595","F596","F622","F625","F626","F627","F628","F629","F630","F631","F632","F633","F634","F635","F665","F696","F697","F698","F699","F712","F713","F714","F715","F716","F717","F718","F719","F720","F721","F722","F723","F724","F725","F764","F765","F766","F767","F768","F769","F770","F771","F772","F773","F774","F775","F776","F777","F778","F779","F780","F781","F782","F783","F784","F785","F786","F793","F794","F795","F796","F797","F798","F799","F809","F810","F811","F812","F813","F814","F859","F860","F861","F862","F863","F864","F921","F922","F926","F953","F954","F955","F956","F957","F958","F959","F960","F1023","F1043","F1044","F1045","F1046","F1047","F1048","F1049","F1050","F1051","F1052","F1054","F1055","F1056","F1088","F1089","F1090","F1101","F1102","F1103","F1104","F1105","F1111","F1129","F1136","F1139","F1140","F1141","F1142","F1143","F1162","F1163","F1164","F1165","F1166","F1167","F1168","F1173","F1174","F1176","F1178","F1179","F1180","F1181","F1182","F1183","F1189","F1190","F1191","F1192","F1193","F1194","F1195","F1196","F1197","F1198","F1214","F1215","F1216","F1217","F1218","F1258","F1259","F1260","F1261","F1264","F1265","F1266","F1267","F1269","F1270","F1275","F1276","F1287","F1288","F1289","F1290","F1294","F1295","F1296","F1305","F1306","F1310","F1311","F1331","F1357","F1358","F1359","F1360","F1361","F1362","F1363","F1364","F1365","F1366","F1367","F1368","F1369","F1370","F1376","F1377","F1378","F1379","F1380","F1381","F1382","F1396","F1397","F1398","F1399","F1412","F1413","F1414","F1415","F1425","F1436","F1437","F1576","F1577","F1578","F1579","F1592","F1593","F1594","F1595","F1609","F1610","F1611","F1612","F1613","F1614","F1615","F1616","F1627","F1628","F1629","F1670","F1694","F1695","F1729","F1730","F1731","F1732","F1760","F1761","F1762","F1763","F1764","F1765","F1766","F1767","F1768","F1769","F1770","F1771","F1772","F1780","F1781","F1782","F1784","F1785","F1786","F1787","F1788","F1789","F1790","F1791","F1792","F1793","F1794","F1795","F1796","F1797","F1798","F1806","F1807","F1808","F1809","F1810","F1811","F1818","F1819","F1820","F1821","F1822","F1823","F1824","F1825","F1826","F1827","F1828","F1829","F1836","F1837","F1838","F1839","F1840","F1841","F1842","F1843","F1844","F1845","F1846","F1847","F1852","F1853","F1854","F1855","F1856","F1857","F1858","F1883","F1884","F1885","F1886","F1887","F1888","F1889","F2017","F2018","F2019","F2020","F2021","F2022","F2023","F2024","F2025","F2026","F2027","F2047","F2049","F2050","F2115","F2116","F2117","F2118","F2119","F2120","F2121","F2122","F2135","F2136","F2137","F2138","F2139","F2140","F2141","F2142","F2238","F2243","F2244","F2245","F2246","F2247","F2248","F2249","F2250","F2251","F2252","F2253","F2324","F2325","F2374","F2375","F2376","F2378","F2380","F2381","F2382","F2517","F2518","F2519","F2520","F2521","F2522","F2523","F2524","F2525","F2536","F2537","F2539","F2540","F2542","F2543","F2547","F2548","F2549","F2550","F2551","F2552","F2553","F2554","F2555","F2556","F2557","F2558","F2559","F2560","F2561","F2562","F2563","F2564","F2565","F2566","F2567","F2580","F2592","F2622","F2629","F2630","F2635","F2636","F2637","F2638","F2639","F2640","F2645","F2646","F2647","F2648","F2649","F2651","F2652","F2666","F2667","F2668","F2669","F2690","F2691","F2692","F2693","F2694","F2695","F2696","F2697","F2698","F2699","F2700","F2701","F2702","F2703","F2704","F2705","F2706","F2707","F2708","F2709","F2710","F2711","F2814","F2819","F2834","F2835","F2836","F2837","F2838","F2849","F2850","F2851","F2852","F2853","F2888","F2889","F2890","F2891","F2892","F2893","F2940","F2941","F2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Kurt_Bremser · Posted 04-12-2020 04:16 AM

See this:

data want;
infile datalines dlm=',' dsd truncover;
input date :monyy7. 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format date yymmd7.;
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;

I have commented the rest of the input statement; to make it complete, remove the quotes and commas; since all columns are numbers, this will work to read everything as numbers.

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saraphdnz · Posted 04-12-2020 06:26 AM

I tired the code and it worked for few variables but when I try the whole sheet (which 36 observations and 1207 variables) I am getting the below error. Please advise.

data want;
infile datalines dlm=',' dsd truncover;
input date :monyy7. 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;
format date yymmd7.;
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;
run;

Kurt_Bremser · Posted 04-12-2020 07:01 AM

How do you run SAS? Display Manager, Enterprise Guide, SAS Studio?

Anyway, change your INFILE statement to this:

infile "path_to_your_file" dlm=',' dsd truncover lrecl=10000;

and split the INPUT statement like this:

input
  date :monyy7. F29 F30 F31 F32 F33 F34 F42 F43 F44 F45 F46 F47 F48 F119 F121 F122 F127 F128 F129 F130 F131 F137 F138 F139 F140 F141 F142 F143 F161 F162 F163 F164 F168 F169 F197 F198 F199 F200 F201 F202 F203 F212 F213 F214 F215 F216 F245 F246 F247 F248 F249 F250 F251 F252 F271 F272 F275 F288 F289 F290 F291 F292 F293 F294 F295 F296
  F305 F306 F307 F308 F309 F310 F311 F312 F313 F314 F315 F316 F317 F318 F319 F320 F321 F322 F323 F324 F325 F326 F327 F328 F329 F330 F331 F332 F333 F334 F335 F336 F337 F338 F339 F340 F341 F342 F343 F344 F345 F346 F347 F348 F349 F350 F351 F352 F353 F354 F355 F356 F357 F358 F359 F360 F361 F362 F363 F364 F365 F366 F367 F368 F369 F370
  F371 F372 F391 F392 F393 F394 F395 F396 F397 F398 F399 F400 F401 F402 F403 F404 F405 F406 F407 F408 F409 F410 F411 F412 F413 F414 F415 F416 F417 F418 F419 F420 F421 F422 F423 F424 F425 F426 F427 F428 F429 F430 F431 F432 F433 F434 F435 F436 F437 F438 F439 F440 F441 F444 F445 F446 F447 F449 F450 F527 F549
  F551 F559 F560 F561 F562 F563 F569 F570 F571 F572 F573 F574 F575 F594 F595 F596 F622 F625 F626 F627 F628 F629 F630 F631 F632 F633 F634 F635 F665 F696 F697 F698 F699 F712 F713 F714 F715 F716 F717 F718 F719 F720 F721 F722 F723 F724 F725 F764 F765 F766 F767 F768 F769 F770 F771 F772 F773 F774 F775 F776 F777 F778 F779 F780 F781 F782 F783 F784 F785 F786 F793 F794 F795 F796 F797 F798 F799
  F809 F810 F811 F812 F813 F814 F859 F860 F861 F862 F863 F864 F921 F922 F926 F953 F954 F955 F956 F957 F958 F959 F960 F1023 F1043 F1044 F1045 F1046 F1047 F1048 F1049 F1050 F1051 F1052 F1054 F1055 F1056 F1088 F1089 F1090
  F1101 F1102 F1103 F1104 F1105 F1111 F1129 F1136 F1139 F1140 F1141 F1142 F1143 F1162 F1163 F1164 F1165 F1166 F1167 F1168 F1173 F1174 F1176 F1178 F1179 F1180 F1181 F1182 F1183 F1189 F1190 F1191 F1192 F1193 F1194 F1195 F1196 F1197 F1198
  F1214 F1215 F1216 F1217 F1218 F1258 F1259 F1260 F1261 F1264 F1265 F1266 F1267 F1269 F1270 F1275 F1276 F1287 F1288 F1289 F1290 F1294 F1295 F1296 F1305 F1306 F1310 F1311 F1331 F1357 F1358 F1359 F1360 F1361 F1362 F1363 F1364 F1365 F1366 F1367 F1368 F1369 F1370 F1376 F1377 F1378 F1379 F1380 F1381 F1382 F1396 F1397 F1398 F1399
  F1412 F1413 F1414 F1415 F1425 F1436 F1437 F1576 F1577 F1578 F1579 F1592 F1593 F1594 F1595 F1609 F1610 F1611 F1612 F1613 F1614 F1615 F1616 F1627 F1628 F1629 F1670 F1694 F1695 F1729 F1730 F1731 F1732 F1760 F1761 F1762 F1763 F1764 F1765 F1766 F1767 F1768 F1769 F1770 F1771 F1772 F1780 F1781 F1782 F1784 F1785 F1786 F1787 F1788 F1789 F1790 F1791 F1792 F1793 F1794 F1795 F1796 F1797 F1798
  F1806 F1807 F1808 F1809 F1810 F1811 F1818 F1819 F1820 F1821 F1822 F1823 F1824 F1825 F1826 F1827 F1828 F1829 F1836 F1837 F1838 F1839 F1840 F1841 F1842 F1843 F1844 F1845 F1846 F1847 F1852 F1853 F1854 F1855 F1856 F1857 F1858 F1883 F1884 F1885 F1886 F1887 F1888 F1889
  F2017 F2018 F2019 F2020 F2021 F2022 F2023 F2024 F2025 F2026 F2027 F2047 F2049 F2050 F2115 F2116 F2117 F2118 F2119 F2120 F2121 F2122 F2135 F2136 F2137 F2138 F2139 F2140 F2141 F2142 F2238 F2243 F2244 F2245 F2246 F2247 F2248 F2249 F2250 F2251 F2252 F2253 F2324 F2325 F2374 F2375 F2376 F2378 F2380 F2381 F2382
  F2517 F2518 F2519 F2520 F2521 F2522 F2523 F2524 F2525 F2536 F2537 F2539 F2540 F2542 F2543 F2547 F2548 F2549 F2550 F2551 F2552 F2553 F2554 F2555 F2556 F2557 F2558 F2559 F2560 F2561 F2562 F2563 F2564 F2565 F2566 F2567 F2580 F2592 F2622 F2629 F2630 F2635 F2636 F2637 F2638 F2639 F2640 F2645 F2646 F2647 F2648 F2649 F2651 F2652 F2666 F2667 F2668 F2669 F2690 F2691 F2692 F2693 F2694 F2695 F2696 F2697 F2698 F2699
  F2700 F2701 F2702 F2703 F2704 F2705 F2706 F2707 F2708 F2709 F2710 F2711 F2814 F2819 F2834 F2835 F2836 F2837 F2838 F2849 F2850 F2851 F2852 F2853 F2888 F2889 F2890 F2891 F2892 F2893 F2940 F2941 F2964 F2965 F2966 F2992 F2993 F2994 F2995 F2996 F2997 F2998 F2999 F3000 F3001 F3002 F3003 F3004 F3005 F3006 F3007 F3008 F3040 F3043 F3044 F3045 F3046 F3047 F3048 F3049
  F3103 F3110 F3111 F3113 F3116 F3117 F3118 F3119 F3120 F3127 F3128 F3129 F3130 F3131 F3187 F3188 F3202 F3203 F3204 F3207 F3208 F3218 F3219 F3222 F3223 F3224 F3241 F3252 F3253 F3256 F3299 F3300 F3301 F3302 F3303 F3304 F3305 F3306 F3307 F3308 F3309 F3310 F3314 F3315 F3316 F3337 F3338 F3343 F3344 F3345 F3346 F3347 F3423 F3437 F3438 F3439 F3440 F3497
  F3500 F3501 F3502 F3506 F3507 F3508 F3509 F3523 F3529 F3530 F3533 F3534 F3535 F3541 F3542 F3545 F3546 F3561 F3563 F3576 F3577 F3582 F3583 F3584 F3585 F3586 F3587 F3588 F3589 F3590 F3591 F3603 F3604 F3605 F3606 F3642 F3651 F3652 F3653 F3654 F3655 F3714 F3715 F3716 F3717 F3723 F3724 F3725 F3726 F3740 F3741 F3742 F3743 F3745 F3763 F3764 F3765 F3772 F3773 F3774 F3775 F3776 F3777 F3778 F3790 F3791 F3792 F3793 F3794 F3795 F3796 F3797 F3798 F3799
  F3800 F3801 F3802 F3803 F3804 F3814 F3815 F3816 F3918 F3919 F3920 F3921 F3922 F3923 F3924 F3965 F3966 F3967 F3968 F3969 F3970 F3971 F3984 F3985 F4018 F4086 F4087 F4122 F4123 F4124 F4125 F4126 F4127 F4130 F4176 F4177 F4178 F4179 F4180 F4181 F4182 F4183 F4184 F4185 F4186 F4194 F4195 F4196 F4197 F4198 F4199 F4201 F4219
  F4402 F4403 F4404 F4405 F4406 F4407 F4408 F4409 F4410 F4411 F4412 F4413 F4420 F4421 F4422 F4426 F4428 F4429 F4430 F4431 F4432 F4433 F4434 F4435 F4436 F4437 F4438 F4439 F4440 F4441 F4442 F4443 F4444 F4450 F4451 F4452 F4453 F4454 F4459 F4460 F4461 F4467 F4468 F4469 F4470 F4518 F4519 F4520 F4521 F4522 F4523 F4566 F4567 F4568 F4569 F4570 F4571 F4572
  F4701 F4702 F4703 F4704 F4705 F4706 F4713 F4714 F4715 F4716 F4741 F4742 F4743 F4744 F4745 F4752 F4753 F4754 F4755 F4756 F4757 F4758 F4838 F4839 F4840 F4841 F4842 F4843 F4844 F4854 F4855 F4880 F4881 F4882 F4883 F4884 F4885 F4886 F4897 F4898 F4899 F4900 F4901 F4980 F4981 F4982 F4983 F4984 F4985 F4986 F4987 F4988 F4989 F4990 F4991 F4992 F4993 F4994 F4995 F4996 F4997 F4999
  F5000 F5001 F5002 F5003 F5004 F5046 F5047 F5048 F5049 F5074 F5075 F5076 F5077 F5078 F5079 F5080 F5081 F5134 F5135 F5136 F5137 F5138 F5139 F5140 F5141 F5142 F5147 F5148 F5149 F5150 F5151 F5152 F5153 F5177 F5183 F5184 F5185 F5186 F5187 F5188 F5189 F5214 F5215 F5216 F5229 F5230 F5231 F5232 F5247 F5248 F5249 F5250 F5251 F5252 F5253 F5254 F5255 F5256 F5257 F5258 F5259 F5264 F5265 F5266 F5267 F5268 F5269 F5270 F5271 F5272 F5334 F5335 F5370 F5371 F5381 F5382 F5383 F5394 F5445 F5446 F5452 F5453 F5454 F5455
  F5690 F5691 F5692 F5693 F5694 F5704 F5705 F5768 F5769 F5770 F5771 F5772 F5773 F5775 F5776 F5777 F5778 F5780 F5781 F5782 F5826 F5827 F5828 F5829 F5830 F5831 F5832 F5870 F5871 F5872 F5873 F5874 F5875 F5904 F5905 F5906 F5963 F5964 F5965 F5966 F5967 F5968 F5985 F5986 F5987 F5988 F5989 F5990 F5991 F5992 F5993 F5994 F5995
  F6082 F6083 F6084 F6085 F6086 F6087 F6088 F6089 F6092 F6098 F6099 F6100 F6101 F6102 F6103 F6104 F6105 F6106 F6107 F6108 F6148 F6149 F6150 F6151 F6152 F6214 F6215 F6216 F6217 F6218 F6255 F6256 F6258 F6259 F6340 F6341 F6342 F6343 F6344 F6345 F6401 F6402 F6403 F6406 F6407 F6408 F6409 F6410
  F6638 F6639 F6640 F6641 F6642 F6668 F6669 F6670 F6671 F6672 F6673 F6674 F6675 F6676 F6709 F6710 F6711 F6869 F6870 F6871 F6872 F6873 F6900 F6901 F6902 F6903 EPU
;

This should enable you to run the code

Maxims of Maximally Efficient SAS Programmers
How to convert datasets to data steps
The macro for direct download as ZIP
How to post code
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saraphdnz · Posted 04-13-2020 06:14 AM

I was using SAS Windows but I now switched to SAS studio and able to get my data as numeric variable via Proc import. Thanks for your time and helpful suggestions. Regards, Sara

Patrick · Posted 04-12-2020 07:54 AM

Proc Import reads the data into character variables because your source strings are in double quotes. If you want to use Proc Import then you need to remove the quoting from all columns which should become numeric. Below code implements such pre-processing of your source data.

filename source temp lrecl=32767;
data _null_;
  file source;
  infile 'H:\Paper 3 SAS\Test1\Jan1990.csv' lrecl=32767;
  input;
  _infile_=compress(_infile_,'"');
  put _infile_;
run;

proc import 
  datafile=source
  out=Myfiles.Jan93 
  DBMS= CSV 
  Replace
  ;
  guessingrows=max;
run;
filename source clear;

proc contents data=Myfiles.Jan93;
run;

Tom · Posted 04-13-2020 12:25 AM

A more selective way to remove the quotes is to do it value by value.

Then any values that actually need the quotes (because they contain quotes or delimiters) will keep their quotes.

filename source temp ;
data _null_;
  infile 'H:\Paper 3 SAS\Test1\Jan1990.csv' dsd col=cc length=ll truncover lrecl=10000000;
  file source dsd lrecl=10000000 ;
  do until(cc > ll);
    input word :$32767. @;
    put word @;
  end;
  put;
run;

Tom · Posted 04-13-2020 12:36 AM

I had also noticed this behavior recently for the first time. When PROC IMPORT sees that every value in a "column" of a CSV file has quotes around it then it makes the resulting variable as character, even if the values are all valid numbers.

Is this documented any where?

Has anyone seen any option to turn off this behavior? It would be better not to have to resort to some type of pro-processing to remove the quotes.

Kurt_Bremser · Posted 04-13-2020 07:01 AM

Why bother to use proc import on a csv file, anyway? In the time it takes to clean the data of one file after the import, one can write several data steps to read several external files without all the hassle.

Maxims of Maximally Efficient SAS Programmers
How to convert datasets to data steps
The macro for direct download as ZIP
How to post code
Please vote for Provide Sequential Search Capability for Hash Objects
How to deal with locked files on UNIX

csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

Re: csv file numeric variable converted into char variable

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