Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells1156
Missing cells (%)2.3%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory468.8 KiB
Average record size in memory48.0 B

Variable types

Categorical1
Text4

Dataset

Description인증구분,업체명,대표품목,전화번호,대표자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15617/S/1/datasetView.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
전화번호 has 1156 (11.6%) missing valuesMissing

Reproduction

Analysis started2024-05-11 07:03:49.462880
Analysis finished2024-05-11 07:03:51.737866
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소상공인
3766 
여성기업
2515 
소기업
1802 
중기업
1054 
장애인기업
 
353
Other values (8)
510 

Length

Max length9
Median length4
Mean length3.8784
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소상공인
2nd row소상공인
3rd row소기업
4th row사회적경제우수기업
5th row중기업

Common Values

ValueCountFrequency (%)
소상공인 3766
37.7%
여성기업 2515
25.1%
소기업 1802
18.0%
중기업 1054
 
10.5%
장애인기업 353
 
3.5%
사회적기업 256
 
2.6%
협동조합(지역형) 123
 
1.2%
사회적협동조합 61
 
0.6%
중증장애인생산품 49
 
0.5%
마을기업 7
 
0.1%
Other values (3) 14
 
0.1%

Length

2024-05-11T16:03:51.890121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소상공인 3766
37.7%
여성기업 2515
25.1%
소기업 1802
18.0%
중기업 1054
 
10.5%
장애인기업 353
 
3.5%
사회적기업 256
 
2.6%
협동조합(지역형 123
 
1.2%
사회적협동조합 61
 
0.6%
중증장애인생산품 49
 
0.5%
마을기업 7
 
0.1%
Other values (3) 14
 
0.1%

업체명
Text

Distinct9751
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:03:52.617051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length8.0473
Min length1

Characters and Unicode

Total characters80473
Distinct characters866
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9515 ?
Unique (%)95.2%

Sample

1st row(주)랜드아우라
2nd row세진종합기술 주식회사
3rd row(주)신세계환경
4th row날으는자동차
5th row(주)아이링크시스템
ValueCountFrequency (%)
주식회사 1746
 
14.0%
주 117
 
0.9%
유한회사 70
 
0.6%
건축사사무소 48
 
0.4%
사단법인 30
 
0.2%
사회적협동조합 25
 
0.2%
농업회사법인 21
 
0.2%
협동조합 18
 
0.1%
inc 12
 
0.1%
합자회사 11
 
0.1%
Other values (9996) 10388
83.2%
2024-05-11T16:03:53.719716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6744
 
8.4%
) 4601
 
5.7%
( 4576
 
5.7%
사 3643
 
4.5%
회 2660
 
3.3%
2496
 
3.1%
식 2391
 
3.0%
이 2260
 
2.8%
스 1693
 
2.1%
건 999
 
1.2%
Other values (856) 48410
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67095
83.4%
Close Punctuation 4602
 
5.7%
Open Punctuation 4577
 
5.7%
Space Separator 2496
 
3.1%
Uppercase Letter 790
 
1.0%
Lowercase Letter 643
 
0.8%
Other Punctuation 141
 
0.2%
Decimal Number 81
 
0.1%
Other Symbol 32
 
< 0.1%
Dash Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6744
 
10.1%
사 3643
 
5.4%
회 2660
 
4.0%
식 2391
 
3.6%
이 2260
 
3.4%
스 1693
 
2.5%
건 999
 
1.5%
에 965
 
1.4%
인 842
 
1.3%
아 822
 
1.2%
Other values (785) 44076
65.7%
Uppercase Letter
ValueCountFrequency (%)
S 77
 
9.7%
C 73
 
9.2%
T 58
 
7.3%
E 56
 
7.1%
I 54
 
6.8%
N 47
 
5.9%
A 47
 
5.9%
O 41
 
5.2%
D 38
 
4.8%
L 38
 
4.8%
Other values (15) 261
33.0%
Lowercase Letter
ValueCountFrequency (%)
o 75
11.7%
n 62
 
9.6%
a 57
 
8.9%
e 53
 
8.2%
i 46
 
7.2%
t 45
 
7.0%
r 38
 
5.9%
m 37
 
5.8%
c 37
 
5.8%
p 34
 
5.3%
Other values (13) 159
24.7%
Decimal Number
ValueCountFrequency (%)
1 28
34.6%
2 14
17.3%
0 10
 
12.3%
3 6
 
7.4%
9 5
 
6.2%
6 4
 
4.9%
7 4
 
4.9%
4 4
 
4.9%
8 3
 
3.7%
5 3
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 84
59.6%
& 19
 
13.5%
; 19
 
13.5%
, 16
 
11.3%
/ 3
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 4601
> 99.9%
） 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4576
> 99.9%
（ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2496
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67125
83.4%
Common 11913
 
14.8%
Latin 1433
 
1.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6744
 
10.0%
사 3643
 
5.4%
회 2660
 
4.0%
식 2391
 
3.6%
이 2260
 
3.4%
스 1693
 
2.5%
건 999
 
1.5%
에 965
 
1.4%
인 842
 
1.3%
아 822
 
1.2%
Other values (784) 44106
65.7%
Latin
ValueCountFrequency (%)
S 77
 
5.4%
o 75
 
5.2%
C 73
 
5.1%
n 62
 
4.3%
T 58
 
4.0%
a 57
 
4.0%
E 56
 
3.9%
I 54
 
3.8%
e 53
 
3.7%
N 47
 
3.3%
Other values (38) 821
57.3%
Common
ValueCountFrequency (%)
) 4601
38.6%
( 4576
38.4%
2496
21.0%
. 84
 
0.7%
1 28
 
0.2%
& 19
 
0.2%
; 19
 
0.2%
, 16
 
0.1%
- 15
 
0.1%
2 14
 
0.1%
Other values (12) 45
 
0.4%
Han
ValueCountFrequency (%)
金 1
50.0%
炅 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67093
83.4%
ASCII 13344
 
16.6%
None 34
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6744
 
10.1%
사 3643
 
5.4%
회 2660
 
4.0%
식 2391
 
3.6%
이 2260
 
3.4%
스 1693
 
2.5%
건 999
 
1.5%
에 965
 
1.4%
인 842
 
1.3%
아 822
 
1.2%
Other values (783) 44074
65.7%
ASCII
ValueCountFrequency (%)
) 4601
34.5%
( 4576
34.3%
2496
18.7%
. 84
 
0.6%
S 77
 
0.6%
o 75
 
0.6%
C 73
 
0.5%
n 62
 
0.5%
T 58
 
0.4%
a 57
 
0.4%
Other values (58) 1185
 
8.9%
None
ValueCountFrequency (%)
㈜ 32
94.1%
（ 1
 
2.9%
） 1
 
2.9%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%
CJK
ValueCountFrequency (%)
炅 1
100.0%

대표품목
Text

Distinct769
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:03:54.163573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length223
Median length116
Mean length11.4675
Min length1

Characters and Unicode

Total characters114675
Distinct characters448
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique553 ?
Unique (%)5.5%

Sample

1st row건설업
2nd row제조업
3rd row위생관리용역
4th row예술, 스포츠 및 여가관련 서비스업
5th row정보통신업
ValueCountFrequency (%)
및 5324
 
16.1%
제조업 2619
 
7.9%
건설업 2100
 
6.4%
서비스업 1792
 
5.4%
도매 1482
 
4.5%
소매업 1311
 
4.0%
기술 943
 
2.9%
과학 900
 
2.7%
전문 850
 
2.6%
기타 701
 
2.1%
Other values (1131) 15048
45.5%
2024-05-11T16:03:54.932479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23130
20.2%
업 12419
 
10.8%
및 5345
 
4.7%
, 5270
 
4.6%
제 4675
 
4.1%
매 3496
 
3.0%
조 3245
 
2.8%
비 3040
 
2.7%
기 3037
 
2.6%
설 2888
 
2.5%
Other values (438) 48130
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86028
75.0%
Space Separator 23130
 
20.2%
Other Punctuation 5293
 
4.6%
Decimal Number 96
 
0.1%
Uppercase Letter 59
 
0.1%
Open Punctuation 25
 
< 0.1%
Close Punctuation 25
 
< 0.1%
Dash Punctuation 8
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 12419
 
14.4%
및 5345
 
6.2%
제 4675
 
5.4%
매 3496
 
4.1%
조 3245
 
3.8%
비 3040
 
3.5%
기 3037
 
3.5%
설 2888
 
3.4%
스 2631
 
3.1%
건 2410
 
2.8%
Other values (399) 42842
49.8%
Uppercase Letter
ValueCountFrequency (%)
C 9
15.3%
V 8
13.6%
P 6
10.2%
D 5
8.5%
T 5
8.5%
L 5
8.5%
S 4
 
6.8%
M 3
 
5.1%
E 2
 
3.4%
A 2
 
3.4%
Other values (9) 10
16.9%
Decimal Number
ValueCountFrequency (%)
1 47
49.0%
0 23
24.0%
2 7
 
7.3%
8 5
 
5.2%
5 5
 
5.2%
4 4
 
4.2%
9 3
 
3.1%
6 1
 
1.0%
3 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 5270
99.6%
/ 13
 
0.2%
? 7
 
0.1%
. 2
 
< 0.1%
？ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
23130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 6
100.0%
Math Symbol
ValueCountFrequency (%)
× 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86028
75.0%
Common 28582
 
24.9%
Latin 65
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 12419
 
14.4%
및 5345
 
6.2%
제 4675
 
5.4%
매 3496
 
4.1%
조 3245
 
3.8%
비 3040
 
3.5%
기 3037
 
3.5%
설 2888
 
3.4%
스 2631
 
3.1%
건 2410
 
2.8%
Other values (399) 42842
49.8%
Latin
ValueCountFrequency (%)
C 9
13.8%
V 8
12.3%
P 6
9.2%
m 6
9.2%
D 5
7.7%
T 5
7.7%
L 5
7.7%
S 4
 
6.2%
M 3
 
4.6%
E 2
 
3.1%
Other values (10) 12
18.5%
Common
ValueCountFrequency (%)
23130
80.9%
, 5270
 
18.4%
1 47
 
0.2%
( 25
 
0.1%
) 25
 
0.1%
0 23
 
0.1%
/ 13
 
< 0.1%
- 8
 
< 0.1%
? 7
 
< 0.1%
2 7
 
< 0.1%
Other values (9) 27
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85994
75.0%
ASCII 28641
 
25.0%
Compat Jamo 34
 
< 0.1%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23130
80.8%
, 5270
 
18.4%
1 47
 
0.2%
( 25
 
0.1%
) 25
 
0.1%
0 23
 
0.1%
/ 13
 
< 0.1%
C 9
 
< 0.1%
- 8
 
< 0.1%
V 8
 
< 0.1%
Other values (27) 83
 
0.3%
Hangul
ValueCountFrequency (%)
업 12419
 
14.4%
및 5345
 
6.2%
제 4675
 
5.4%
매 3496
 
4.1%
조 3245
 
3.8%
비 3040
 
3.5%
기 3037
 
3.5%
설 2888
 
3.4%
스 2631
 
3.1%
건 2410
 
2.8%
Other values (398) 42808
49.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 34
100.0%
None
ValueCountFrequency (%)
× 5
83.3%
？ 1
 
16.7%

전화번호
Text

MISSING 

Distinct8135
Distinct (%)92.0%
Missing1156
Missing (%)11.6%
Memory size156.2 KiB
2024-05-11T16:03:55.359383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length11.931818
Min length1

Characters and Unicode

Total characters105525
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7928 ?
Unique (%)89.6%

Sample

1st row02-400-7624
2nd row031-711-9873
3rd row062-959-7474
4th row02-764-8092
5th row02-3402-0988
ValueCountFrequency (%)
010 454
 
5.2%
02-000-0000 3
 
< 0.1%
070-7422-0550 3
 
< 0.1%
054-336-1212 3
 
< 0.1%
011 3
 
< 0.1%
02-381-5200 2
 
< 0.1%
02-2627-3271 2
 
< 0.1%
054-781-1690 2
 
< 0.1%
02-420-3100 2
 
< 0.1%
044-863-2016 2
 
< 0.1%
Other values (8133) 8329
94.6%
2024-05-11T16:03:55.980635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 17546
16.6%
0 16106
15.3%
2 10142
9.6%
3 9969
9.4%
1 8686
8.2%
5 8507
8.1%
4 7226
6.8%
6 6798
 
6.4%
7 6780
 
6.4%
8 5665
 
5.4%
Other values (13) 8100
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84245
79.8%
Dash Punctuation 17546
 
16.6%
Other Punctuation 3668
 
3.5%
Space Separator 58
 
0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16106
19.1%
2 10142
12.0%
3 9969
11.8%
1 8686
10.3%
5 8507
10.1%
4 7226
8.6%
6 6798
8.1%
7 6780
8.0%
8 5665
 
6.7%
9 4366
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
w 1
12.5%
p 1
12.5%
d 1
12.5%
s 1
12.5%
c 1
12.5%
o 1
12.5%
k 1
12.5%
r 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 3664
99.9%
, 2
 
0.1%
. 2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 17546
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105517
> 99.9%
Latin 8
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 17546
16.6%
0 16106
15.3%
2 10142
9.6%
3 9969
9.4%
1 8686
8.2%
5 8507
8.1%
4 7226
6.8%
6 6798
 
6.4%
7 6780
 
6.4%
8 5665
 
5.4%
Other values (5) 8092
7.7%
Latin
ValueCountFrequency (%)
w 1
12.5%
p 1
12.5%
d 1
12.5%
s 1
12.5%
c 1
12.5%
o 1
12.5%
k 1
12.5%
r 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 17546
16.6%
0 16106
15.3%
2 10142
9.6%
3 9969
9.4%
1 8686
8.2%
5 8507
8.1%
4 7226
6.8%
6 6798
 
6.4%
7 6780
 
6.4%
8 5665
 
5.4%
Other values (13) 8100
7.7%

대표자
Text

Distinct8218
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:03:56.486404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.0754
Min length2

Characters and Unicode

Total characters30754
Distinct characters348
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7110 ?
Unique (%)71.1%

Sample

1st row오한나
2nd row황주철
3rd row홍영자
4th row박정선
5th row오치성
ValueCountFrequency (%)
39
 
0.4%
김은경 14
 
0.1%
김미숙 14
 
0.1%
김미경 13
 
0.1%
김영숙 12
 
0.1%
이상훈 11
 
0.1%
김정희 11
 
0.1%
김은주 11
 
0.1%
이정희 10
 
0.1%
김경희 10
 
0.1%
Other values (8282) 10052
98.6%
2024-05-11T16:03:57.311666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2136
 
6.9%
이 1535
 
5.0%
정 1266
 
4.1%
영 977
 
3.2%
박 853
 
2.8%
희 691
 
2.2%
경 631
 
2.1%
미 584
 
1.9%
현 551
 
1.8%
숙 540
 
1.8%
Other values (338) 20990
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30290
98.5%
Space Separator 221
 
0.7%
Other Punctuation 147
 
0.5%
Uppercase Letter 79
 
0.3%
Decimal Number 8
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2136
 
7.1%
이 1535
 
5.1%
정 1266
 
4.2%
영 977
 
3.2%
박 853
 
2.8%
희 691
 
2.3%
경 631
 
2.1%
미 584
 
1.9%
현 551
 
1.8%
숙 540
 
1.8%
Other values (309) 20526
67.8%
Uppercase Letter
ValueCountFrequency (%)
A 11
13.9%
N 7
 
8.9%
I 7
 
8.9%
O 7
 
8.9%
L 5
 
6.3%
E 5
 
6.3%
U 5
 
6.3%
M 4
 
5.1%
K 4
 
5.1%
G 4
 
5.1%
Other values (11) 20
25.3%
Other Punctuation
ValueCountFrequency (%)
, 93
63.3%
* 39
26.5%
. 15
 
10.2%
Space Separator
ValueCountFrequency (%)
221
100.0%
Decimal Number
ValueCountFrequency (%)
1 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30290
98.5%
Common 385
 
1.3%
Latin 79
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2136
 
7.1%
이 1535
 
5.1%
정 1266
 
4.2%
영 977
 
3.2%
박 853
 
2.8%
희 691
 
2.3%
경 631
 
2.1%
미 584
 
1.9%
현 551
 
1.8%
숙 540
 
1.8%
Other values (309) 20526
67.8%
Latin
ValueCountFrequency (%)
A 11
13.9%
N 7
 
8.9%
I 7
 
8.9%
O 7
 
8.9%
L 5
 
6.3%
E 5
 
6.3%
U 5
 
6.3%
M 4
 
5.1%
K 4
 
5.1%
G 4
 
5.1%
Other values (11) 20
25.3%
Common
ValueCountFrequency (%)
221
57.4%
, 93
24.2%
* 39
 
10.1%
. 15
 
3.9%
1 8
 
2.1%
) 4
 
1.0%
( 4
 
1.0%
` 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30290
98.5%
ASCII 464
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2136
 
7.1%
이 1535
 
5.1%
정 1266
 
4.2%
영 977
 
3.2%
박 853
 
2.8%
희 691
 
2.3%
경 631
 
2.1%
미 584
 
1.9%
현 551
 
1.8%
숙 540
 
1.8%
Other values (309) 20526
67.8%
ASCII
ValueCountFrequency (%)
221
47.6%
, 93
20.0%
* 39
 
8.4%
. 15
 
3.2%
A 11
 
2.4%
1 8
 
1.7%
N 7
 
1.5%
I 7
 
1.5%
O 7
 
1.5%
L 5
 
1.1%
Other values (19) 51
 
11.0%

Missing values

2024-05-11T16:03:51.443852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T16:03:51.641581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

인증구분업체명대표품목전화번호대표자
76846소상공인(주)랜드아우라건설업02-400-7624오한나
49199소상공인세진종합기술 주식회사제조업031-711-9873황주철
23218소기업(주)신세계환경위생관리용역062-959-7474홍영자
32000사회적경제우수기업날으는자동차예술, 스포츠 및 여가관련 서비스업02-764-8092박정선
15164중기업(주)아이링크시스템정보통신업02-3402-0988오치성
25543소기업동명환경과학원 주식회사전문, 과학 및 기술 서비스업062-529-0064김천두
41521소기업(주)중우엠텍고무 및 플라스틱제품 제조업,도매 및 소매업,전기장비 제조업,전자 부품, 컴퓨터, 영상, 음향 및 통신장비 제조업,제조업031-494-0561윤무영
97167여성기업(주)마루이엔지건설업070-4480-7683전성숙
66653소기업주식회사 젠기타 제품 제조업051-442-1235제용근
17557중기업(주)GNS기술건설업02-458-1400문창수
인증구분업체명대표품목전화번호대표자
56952소상공인주식회사 교강산업금속 가공제품 제조업, 기계 및 가구 제외,목재 및 나무제품 제조업, 가구 제외041-622-0000박영규
62118여성기업(주)은하수건설건설업02-2662-2616이찬미
14658소기업나우에스엠에이치주식회사사업시설 관리, 사업 지원 및 임대 서비스업055-338-2433황찬준
88165중기업탑아이비에스 주식회사사업시설 관리, 사업 지원 및 임대 서비스업02-313-0911류병철
76880여성기업소담제조업070-7778-5609정수진, 박남혁
16496여성기업혜신전기건설업055-387-2050방미희
7870소상공인경북통신공사건설업054-283-8800송유태
57850소상공인주식회사 쿨원제조업070-7707-1113김태우
9620소상공인현민유통도매 및 소매업010-****-****김지은
9991사회적기업사회적협동조합 원주진로교육센터 새움교육상담, 출판업033-742-2040장승완

Duplicate rows

Most frequently occurring

인증구분업체명대표품목전화번호대표자# duplicates
0소상공인청룡장의사기타 개인 서비스업010-****-****박영숙2
1소상공인한가묘협회 및 단체, 수리 및 기타 개인 서비스업<NA>김기복2