Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells2
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory59.3 B

Variable types

Text5
Categorical1
DateTime1

Dataset

Description용인시 관내 장애인 기업 현황입니다.
Author경기도 용인시
URLhttps://www.data.go.kr/data/3075321/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (5.0%) missing valuesMissing
업체명 has unique valuesUnique
팩스번호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:10:12.112309
Analysis finished2023-12-12 22:10:12.718996
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T07:10:12.870327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.325
Min length2

Characters and Unicode

Total characters293
Distinct characters136
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row한주기프트
2nd row(주)리노디자인빌드
3rd row(주)올콘텐츠
4th row주식회사 거범
5th row(주)위드테크
ValueCountFrequency (%)
주식회사 8
 
15.7%
한주기프트 1
 
2.0%
주식회사스포츠클린업 1
 
2.0%
주)솔라엘 1
 
2.0%
sola 1
 
2.0%
el 1
 
2.0%
베네시안카페 1
 
2.0%
정원기획 1
 
2.0%
너와 1
 
2.0%
딥스원에듀 1
 
2.0%
Other values (34) 34
66.7%
2023-12-13T07:10:13.254796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
8.5%
16
 
5.5%
) 13
 
4.4%
12
 
4.1%
( 12
 
4.1%
12
 
4.1%
11
 
3.8%
9
 
3.1%
6
 
2.0%
5
 
1.7%
Other values (126) 172
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
82.6%
Close Punctuation 13
 
4.4%
Open Punctuation 12
 
4.1%
Space Separator 11
 
3.8%
Lowercase Letter 9
 
3.1%
Uppercase Letter 5
 
1.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
10.3%
16
 
6.6%
12
 
5.0%
12
 
5.0%
9
 
3.7%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (109) 142
58.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
r 1
11.1%
l 1
11.1%
t 1
11.1%
n 1
11.1%
c 1
11.1%
a 1
11.1%
o 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
20.0%
L 1
20.0%
K 1
20.0%
D 1
20.0%
S 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
82.6%
Common 37
 
12.6%
Latin 14
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
10.3%
16
 
6.6%
12
 
5.0%
12
 
5.0%
9
 
3.7%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (109) 142
58.7%
Latin
ValueCountFrequency (%)
e 2
14.3%
E 1
 
7.1%
L 1
 
7.1%
r 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
n 1
 
7.1%
c 1
 
7.1%
a 1
 
7.1%
o 1
 
7.1%
Other values (3) 3
21.4%
Common
ValueCountFrequency (%)
) 13
35.1%
( 12
32.4%
11
29.7%
& 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
82.6%
ASCII 51
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
 
10.3%
16
 
6.6%
12
 
5.0%
12
 
5.0%
9
 
3.7%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (109) 142
58.7%
ASCII
ValueCountFrequency (%)
) 13
25.5%
( 12
23.5%
11
21.6%
e 2
 
3.9%
E 1
 
2.0%
L 1
 
2.0%
r 1
 
2.0%
l 1
 
2.0%
t 1
 
2.0%
n 1
 
2.0%
Other values (7) 7
13.7%
Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T07:10:13.470679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters120
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row한윤명
2nd row유광호
3rd row윤훈주
4th row조석만
5th row김귀례
ValueCountFrequency (%)
박정종 2
 
5.0%
김민정 1
 
2.5%
양종하 1
 
2.5%
김승영 1
 
2.5%
정영호 1
 
2.5%
최해랑 1
 
2.5%
지성양 1
 
2.5%
송승준 1
 
2.5%
박정균 1
 
2.5%
윤서현 1
 
2.5%
Other values (29) 29
72.5%
2023-12-13T07:10:13.823305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
6.7%
7
 
5.8%
7
 
5.8%
7
 
5.8%
5
 
4.2%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (53) 69
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.7%
7
 
5.8%
7
 
5.8%
7
 
5.8%
5
 
4.2%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (53) 69
57.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.7%
7
 
5.8%
7
 
5.8%
7
 
5.8%
5
 
4.2%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (53) 69
57.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.7%
7
 
5.8%
7
 
5.8%
7
 
5.8%
5
 
4.2%
4
 
3.3%
4
 
3.3%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (53) 69
57.5%

전화번호
Text

MISSING 

Distinct37
Distinct (%)97.4%
Missing2
Missing (%)5.0%
Memory size452.0 B
2023-12-13T07:10:14.032453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.184211
Min length11

Characters and Unicode

Total characters463
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row031-712-4762
2nd row031-284-2070
3rd row031-336-9183
4th row031-226-1344
5th row031-767-5712
ValueCountFrequency (%)
031-889-3338 2
 
5.3%
031-282-5502 1
 
2.6%
070-7778-8858 1
 
2.6%
031-265-4630 1
 
2.6%
02-441-9847 1
 
2.6%
031-333-0101 1
 
2.6%
031-264-2053 1
 
2.6%
070-8254-3829 1
 
2.6%
031-287-6300 1
 
2.6%
031-321-3494 1
 
2.6%
Other values (27) 27
71.1%
2023-12-13T07:10:14.422133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 79
17.1%
- 76
16.4%
0 70
15.1%
1 45
9.7%
2 41
8.9%
8 37
8.0%
7 33
7.1%
4 27
 
5.8%
5 25
 
5.4%
6 16
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 387
83.6%
Dash Punctuation 76
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 79
20.4%
0 70
18.1%
1 45
11.6%
2 41
10.6%
8 37
9.6%
7 33
8.5%
4 27
 
7.0%
5 25
 
6.5%
6 16
 
4.1%
9 14
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 79
17.1%
- 76
16.4%
0 70
15.1%
1 45
9.7%
2 41
8.9%
8 37
8.0%
7 33
7.1%
4 27
 
5.8%
5 25
 
5.4%
6 16
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 79
17.1%
- 76
16.4%
0 70
15.1%
1 45
9.7%
2 41
8.9%
8 37
8.0%
7 33
7.1%
4 27
 
5.8%
5 25
 
5.4%
6 16
 
3.5%

팩스번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T07:10:14.668461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.1
Min length11

Characters and Unicode

Total characters484
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row031-286-4397
2nd row031-212-9803
3rd row031-285-9634
4th row030-3313-06462
5th row031-226-1345
ValueCountFrequency (%)
031-286-4397 1
 
2.5%
031-212-9803 1
 
2.5%
031-286-4888 1
 
2.5%
013-889-3338 1
 
2.5%
031-889-3338 1
 
2.5%
02-2273-1768 1
 
2.5%
02-441-9118 1
 
2.5%
031-333-8001 1
 
2.5%
031-711-0930 1
 
2.5%
031-334-3829 1
 
2.5%
Other values (30) 30
75.0%
2023-12-13T07:10:15.046264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 85
17.6%
- 80
16.5%
0 71
14.7%
1 52
10.7%
2 47
9.7%
8 39
8.1%
7 25
 
5.2%
4 22
 
4.5%
9 22
 
4.5%
5 21
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 404
83.5%
Dash Punctuation 80
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 85
21.0%
0 71
17.6%
1 52
12.9%
2 47
11.6%
8 39
9.7%
7 25
 
6.2%
4 22
 
5.4%
9 22
 
5.4%
5 21
 
5.2%
6 20
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 85
17.6%
- 80
16.5%
0 71
14.7%
1 52
10.7%
2 47
9.7%
8 39
8.1%
7 25
 
5.2%
4 22
 
4.5%
9 22
 
4.5%
5 21
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 85
17.6%
- 80
16.5%
0 71
14.7%
1 52
10.7%
2 47
9.7%
8 39
8.1%
7 25
 
5.2%
4 22
 
4.5%
9 22
 
4.5%
5 21
 
4.3%

주소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T07:10:15.360253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length32.3
Min length20

Characters and Unicode

Total characters1292
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 기흥구 마북로154번길 23 쌍용아파트 101-1001
2nd row경기도 용인시 기흥구 흥덕중앙로 120 (영덕동유-타워 1008호)
3rd row경기도 용인시 기흥구 용구대로 2257-9
4th row경기도 용인시 처인구 원삼면 가재월로 147
5th row경기도 용인시 기흥구 지삼로 301
ValueCountFrequency (%)
경기도 40
 
15.0%
용인시 40
 
15.0%
처인구 21
 
7.9%
기흥구 13
 
4.9%
수지구 6
 
2.3%
모현읍 4
 
1.5%
양지면 4
 
1.5%
모현면 3
 
1.1%
16-25 2
 
0.8%
남사면 2
 
0.8%
Other values (121) 131
49.2%
2023-12-13T07:10:15.780821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
18.5%
64
 
5.0%
1 62
 
4.8%
54
 
4.2%
48
 
3.7%
43
 
3.3%
42
 
3.3%
40
 
3.1%
40
 
3.1%
40
 
3.1%
Other values (144) 620
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 771
59.7%
Space Separator 239
 
18.5%
Decimal Number 233
 
18.0%
Close Punctuation 15
 
1.2%
Open Punctuation 15
 
1.2%
Dash Punctuation 15
 
1.2%
Lowercase Letter 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
8.3%
54
 
7.0%
48
 
6.2%
43
 
5.6%
42
 
5.4%
40
 
5.2%
40
 
5.2%
40
 
5.2%
22
 
2.9%
20
 
2.6%
Other values (126) 358
46.4%
Decimal Number
ValueCountFrequency (%)
1 62
26.6%
0 35
15.0%
2 30
12.9%
6 21
 
9.0%
5 19
 
8.2%
3 15
 
6.4%
7 15
 
6.4%
9 14
 
6.0%
8 13
 
5.6%
4 9
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
w 1
50.0%
h 1
50.0%
Other Punctuation
ValueCountFrequency (%)
1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
59.7%
Common 519
40.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
8.3%
54
 
7.0%
48
 
6.2%
43
 
5.6%
42
 
5.4%
40
 
5.2%
40
 
5.2%
40
 
5.2%
22
 
2.9%
20
 
2.6%
Other values (126) 358
46.4%
Common
ValueCountFrequency (%)
239
46.1%
1 62
 
11.9%
0 35
 
6.7%
2 30
 
5.8%
6 21
 
4.0%
5 19
 
3.7%
) 15
 
2.9%
( 15
 
2.9%
3 15
 
2.9%
7 15
 
2.9%
Other values (6) 53
 
10.2%
Latin
ValueCountFrequency (%)
w 1
50.0%
h 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 771
59.7%
ASCII 520
40.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
46.0%
1 62
 
11.9%
0 35
 
6.7%
2 30
 
5.8%
6 21
 
4.0%
5 19
 
3.7%
) 15
 
2.9%
( 15
 
2.9%
3 15
 
2.9%
7 15
 
2.9%
Other values (7) 54
 
10.4%
Hangul
ValueCountFrequency (%)
64
 
8.3%
54
 
7.0%
48
 
6.2%
43
 
5.6%
42
 
5.4%
40
 
5.2%
40
 
5.2%
40
 
5.2%
22
 
2.9%
20
 
2.6%
Other values (126) 358
46.4%
None
ValueCountFrequency (%)
1
100.0%

주업종
Categorical

Distinct16
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
제조업
건설업
도매 및 소매업
그 밖의 제품 제조업
식료품 제조업
Other values (11)
14 

Length

Max length34
Median length27
Mean length8.75
Min length3

Unique

Unique8 ?
Unique (%)20.0%

Sample

1st row도매 및 소매업
2nd row건설업
3rd row교육 서비스업
4th row농업 임업 및 어업 환경 정화 및 복원업
5th row그 밖의 제품 제조업

Common Values

ValueCountFrequency (%)
제조업 9
22.5%
건설업 7
17.5%
도매 및 소매업 6
15.0%
그 밖의 제품 제조업 2
 
5.0%
식료품 제조업 2
 
5.0%
<NA> 2
 
5.0%
금속가공제품 제조업(기계 및 가구 제조업 제외) 2
 
5.0%
운수업 2
 
5.0%
교육 서비스업 1
 
2.5%
농업 임업 및 어업 환경 정화 및 복원업 1
 
2.5%
Other values (6) 6
15.0%

Length

2023-12-13T07:10:15.915418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 18
17.1%
16
15.2%
도매 7
 
6.7%
소매업 7
 
6.7%
건설업 7
 
6.7%
서비스업 4
 
3.8%
제외 4
 
3.8%
가구 3
 
2.9%
제품 2
 
1.9%
na 2
 
1.9%
Other values (29) 35
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2019-04-05 00:00:00
Maximum2019-04-05 00:00:00
2023-12-13T07:10:16.006280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:10:16.085922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T07:10:16.156703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명대표자명전화번호팩스번호주소주업종
업체명1.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0000.972
전화번호1.0001.0001.0001.0001.0000.975
팩스번호1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
주업종1.0000.9720.9751.0001.0001.000

Missing values

2023-12-13T07:10:12.554054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:10:12.675265image/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

업체명대표자명전화번호팩스번호주소주업종데이터기준일자
0한주기프트한윤명<NA>031-286-4397경기도 용인시 기흥구 마북로154번길 23 쌍용아파트 101-1001도매 및 소매업2019-04-05
1(주)리노디자인빌드유광호031-712-4762031-212-9803경기도 용인시 기흥구 흥덕중앙로 120 (영덕동유-타워 1008호)건설업2019-04-05
2(주)올콘텐츠윤훈주031-284-2070031-285-9634경기도 용인시 기흥구 용구대로 2257-9교육 서비스업2019-04-05
3주식회사 거범조석만031-336-9183030-3313-06462경기도 용인시 처인구 원삼면 가재월로 147농업 임업 및 어업 환경 정화 및 복원업2019-04-05
4(주)위드테크김귀례031-226-1344031-226-1345경기도 용인시 기흥구 지삼로 301그 밖의 제품 제조업2019-04-05
5주식회사더팜고재덕031-767-5712031-767-5714경기도 용인시 처인구 모현면 곡현로 765 (주)더팜건물식료품 제조업2019-04-05
6예림K&D김현락<NA>02-6008-4385경기도 용인시 수지구 풍덕천로 91 111동602호건설업2019-04-05
7초원권순봉031-322-0456031-322-0457경기도 용인시 처인구 양지면 죽양대로 2097 (평창리 679-10)도매 및 소매업2019-04-05
8보우상사문영진031-322-8899031-322-8239경기도 용인시 처인구 모현읍 오산로 12-21 2층 보우상사도매 및 소매업2019-04-05
9(주)십자성구영화02-478-511702-478-2917경기도 용인시 처인구 백옥대로 1272화학물질 및 화학제품 제조업(의약품 제조업 제외)2019-04-05
업체명대표자명전화번호팩스번호주소주업종데이터기준일자
30주식회사해원일렉컴양종하070-7778-8858070-8878-8692경기도 용인시 수지구 용구대로2772번길 5 덕산빌딩2층건설업2019-04-05
31주식회사 디케이에프비정승범031-321-3494031-321-3493경기도 용인시 처인구 모현읍 초부로 113 주식회사 디케이에프비제조업2019-04-05
32cntree한범이031-337-1530031-526-7530경기도 용인시 처인구 모현읍 포은대로 1068 씨엔트리목공방제조업2019-04-05
33(주)경안테크김성종054-335-2058054-336-2058경기도 용인시 기흥구 강남동로 6 705호금속가공제품 제조업(기계 및 가구 제조업 제외)2019-04-05
34히녹건강공예오영순031-338-1237031-338-1260경기도 용인시 처인구 남사면 상동로 17 히녹건강공예<NA>2019-04-05
35주식회사 에이치더블유인터내셔널김태근070-4327-2856070-4009-0492경기도 용인시 처인구 양지면 은이로20번길 71 hw인터내셔널제조업2019-04-05
36케이피로지텍 주식회사김주연070-8839-6297070-7614-3932경기도 용인시 기흥구 죽전로 17 8층 801호 일부(보정동 풍산프라자)운수업2019-04-05
37주식회사 비쟌틴이수엽031-323-4250031-323-4251경기도 용인시 처인구 모현읍 오산로 162제조업2019-04-05
38창조건설 주식회사안철균031-335-2005031-334-2008경기도 용인시 처인구 포곡읍 석성로 1145건설업2019-04-05
39카이로스랩주식회사유종현070-4335-7444031-262-5050경기도 용인시 수지구 풍덕천로129번길 9 5층 590호예술 스포츠 및 여가관련 서비스업 도매 및 소매업 정보서비스업2019-04-05