Overview

Dataset statistics

Number of variables10
Number of observations180
Missing cells108
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory81.7 B

Variable types

Text9
Numeric1

Dataset

Description경기도 의왕시 오전동 공장 현황에 대한 자료입니다. 의왕시 홈페이지에서 매월 현행화 중(https://www.uiwang.go.kr/UWKORECO0401)으로 자세한 자료는 홈페이지를 참고해주시기 바랍니다.
Author경기도 의왕시
URLhttps://www.data.go.kr/data/15127189/fileData.do

Alerts

전화번호 has 13 (7.2%) missing valuesMissing
팩스번호 has 19 (10.6%) missing valuesMissing
주원자재 has 76 (42.2%) missing valuesMissing

Reproduction

Analysis started2024-03-30 06:34:04.200702
Analysis finished2024-03-30 06:34:07.911985
Duration3.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct177
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-30T06:34:08.394781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.1777778
Min length2

Characters and Unicode

Total characters1292
Distinct characters227
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)96.7%

Sample

1st row(주)에스엔케이 인터내쇼날
2nd row(주)스마트전산
3rd row(주)뮤제코스메틱
4th row(주)테마코
5th row(주)프로유화장품
ValueCountFrequency (%)
주식회사 16
 
7.9%
큐머시스 2
 
1.0%
주)삼화피앤티 2
 
1.0%
주)대산정밀 2
 
1.0%
선영화학(주 2
 
1.0%
매스컨 1
 
0.5%
네트플러스(주 1
 
0.5%
주)에스엔케이 1
 
0.5%
인터내쇼날 1
 
0.5%
주)에스테팜 1
 
0.5%
Other values (173) 173
85.6%
2024-03-30T06:34:09.406865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 126
 
9.8%
) 109
 
8.4%
( 108
 
8.4%
스 55
 
4.3%
이 46
 
3.6%
사 26
 
2.0%
에 22
 
1.7%
22
 
1.7%
크 21
 
1.6%
테 20
 
1.5%
Other values (217) 737
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1042
80.7%
Close Punctuation 109
 
8.4%
Open Punctuation 108
 
8.4%
Space Separator 22
 
1.7%
Uppercase Letter 10
 
0.8%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 126
 
12.1%
스 55
 
5.3%
이 46
 
4.4%
사 26
 
2.5%
에 22
 
2.1%
크 21
 
2.0%
테 20
 
1.9%
아 18
 
1.7%
지 17
 
1.6%
회 16
 
1.5%
Other values (205) 675
64.8%
Uppercase Letter
ValueCountFrequency (%)
P 3
30.0%
J 1
 
10.0%
K 1
 
10.0%
N 1
 
10.0%
C 1
 
10.0%
T 1
 
10.0%
G 1
 
10.0%
A 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1042
80.7%
Common 240
 
18.6%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 126
 
12.1%
스 55
 
5.3%
이 46
 
4.4%
사 26
 
2.5%
에 22
 
2.1%
크 21
 
2.0%
테 20
 
1.9%
아 18
 
1.7%
지 17
 
1.6%
회 16
 
1.5%
Other values (205) 675
64.8%
Latin
ValueCountFrequency (%)
P 3
30.0%
J 1
 
10.0%
K 1
 
10.0%
N 1
 
10.0%
C 1
 
10.0%
T 1
 
10.0%
G 1
 
10.0%
A 1
 
10.0%
Common
ValueCountFrequency (%)
) 109
45.4%
( 108
45.0%
22
 
9.2%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1042
80.7%
ASCII 250
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 126
 
12.1%
스 55
 
5.3%
이 46
 
4.4%
사 26
 
2.5%
에 22
 
2.1%
크 21
 
2.0%
테 20
 
1.9%
아 18
 
1.7%
지 17
 
1.6%
회 16
 
1.5%
Other values (205) 675
64.8%
ASCII
ValueCountFrequency (%)
) 109
43.6%
( 108
43.2%
22
 
8.8%
P 3
 
1.2%
J 1
 
0.4%
K 1
 
0.4%
N 1
 
0.4%
C 1
 
0.4%
T 1
 
0.4%
2 1
 
0.4%
Other values (2) 2
 
0.8%

대표자명
Text

Distinct171
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-30T06:34:10.324150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.2055556
Min length2

Characters and Unicode

Total characters577
Distinct characters145
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)90.6%

Sample

1st row김득하
2nd row박종진
3rd row장정훈
4th row김재철
5th row유범
ValueCountFrequency (%)
김준배 4
 
2.2%
조성환 3
 
1.6%
하상우 2
 
1.1%
윤정석 2
 
1.1%
정재성 2
 
1.1%
김중구 2
 
1.1%
김철환 2
 
1.1%
최경일 2
 
1.1%
최재홍 2
 
1.1%
기준성 1
 
0.5%
Other values (164) 164
88.2%
2024-03-30T06:34:11.783227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 45
 
7.8%
이 29
 
5.0%
성 18
 
3.1%
정 16
 
2.8%
박 16
 
2.8%
호 15
 
2.6%
진 13
 
2.3%
경 11
 
1.9%
영 11
 
1.9%
상 11
 
1.9%
Other values (135) 392
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 555
96.2%
Uppercase Letter 11
 
1.9%
Space Separator 6
 
1.0%
Other Punctuation 4
 
0.7%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 45
 
8.1%
이 29
 
5.2%
성 18
 
3.2%
정 16
 
2.9%
박 16
 
2.9%
호 15
 
2.7%
진 13
 
2.3%
경 11
 
2.0%
영 11
 
2.0%
상 11
 
2.0%
Other values (124) 370
66.7%
Uppercase Letter
ValueCountFrequency (%)
N 2
18.2%
A 2
18.2%
I 2
18.2%
L 1
9.1%
Q 1
9.1%
G 1
9.1%
S 1
9.1%
H 1
9.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 555
96.2%
Common 11
 
1.9%
Latin 11
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 45
 
8.1%
이 29
 
5.2%
성 18
 
3.2%
정 16
 
2.9%
박 16
 
2.9%
호 15
 
2.7%
진 13
 
2.3%
경 11
 
2.0%
영 11
 
2.0%
상 11
 
2.0%
Other values (124) 370
66.7%
Latin
ValueCountFrequency (%)
N 2
18.2%
A 2
18.2%
I 2
18.2%
L 1
9.1%
Q 1
9.1%
G 1
9.1%
S 1
9.1%
H 1
9.1%
Common
ValueCountFrequency (%)
6
54.5%
, 4
36.4%
1 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 555
96.2%
ASCII 22
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 45
 
8.1%
이 29
 
5.2%
성 18
 
3.2%
정 16
 
2.9%
박 16
 
2.9%
호 15
 
2.7%
진 13
 
2.3%
경 11
 
2.0%
영 11
 
2.0%
상 11
 
2.0%
Other values (124) 370
66.7%
ASCII
ValueCountFrequency (%)
6
27.3%
, 4
18.2%
N 2
 
9.1%
A 2
 
9.1%
I 2
 
9.1%
L 1
 
4.5%
Q 1
 
4.5%
G 1
 
4.5%
S 1
 
4.5%
H 1
 
4.5%

공장대표주소(도로명)
Text

Distinct173
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-30T06:34:12.391823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length53
Mean length34.555556
Min length21

Characters and Unicode

Total characters6220
Distinct characters153
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)92.2%

Sample

1st row경기도 의왕시 경수대로 339 (오전동, (주)S.N.K인터내쇼날) (총 3 필지)
2nd row경기도 의왕시 경수대로 361-9, 외1필지 (오전동)
3rd row경기도 의왕시 경수대로 411, 302호 (오전동)
4th row경기도 의왕시 경수대로 411, 중앙빌딩 402호 (오전동)
5th row경기도 의왕시 경수대로391번길 10 (오전동)
ValueCountFrequency (%)
경기도 180
 
14.3%
의왕시 180
 
14.3%
오전동 153
 
12.2%
오전공업길 77
 
6.1%
맑은내길 45
 
3.6%
19 38
 
3.0%
대현테크노월드 36
 
2.9%
13 28
 
2.2%
벽산선영테크노피아 26
 
2.1%
a동 25
 
2.0%
Other values (247) 470
37.4%
2024-03-30T06:34:13.633970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1078
 
17.3%
1 282
 
4.5%
전 262
 
4.2%
오 257
 
4.1%
동 232
 
3.7%
, 224
 
3.6%
경 200
 
3.2%
( 196
 
3.2%
) 196
 
3.2%
왕 181
 
2.9%
Other values (143) 3112
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3487
56.1%
Space Separator 1078
 
17.3%
Decimal Number 950
 
15.3%
Other Punctuation 226
 
3.6%
Open Punctuation 196
 
3.2%
Close Punctuation 196
 
3.2%
Uppercase Letter 44
 
0.7%
Dash Punctuation 41
 
0.7%
Other Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 262
 
7.5%
오 257
 
7.4%
동 232
 
6.7%
경 200
 
5.7%
왕 181
 
5.2%
의 181
 
5.2%
기 180
 
5.2%
시 180
 
5.2%
도 180
 
5.2%
길 173
 
5.0%
Other values (115) 1461
41.9%
Decimal Number
ValueCountFrequency (%)
1 282
29.7%
0 118
12.4%
3 115
12.1%
9 95
 
10.0%
2 84
 
8.8%
4 65
 
6.8%
7 62
 
6.5%
5 53
 
5.6%
6 38
 
4.0%
8 38
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 26
59.1%
B 7
 
15.9%
C 2
 
4.5%
N 2
 
4.5%
K 2
 
4.5%
S 1
 
2.3%
D 1
 
2.3%
L 1
 
2.3%
O 1
 
2.3%
M 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 224
99.1%
. 2
 
0.9%
Space Separator
ValueCountFrequency (%)
1078
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3488
56.1%
Common 2687
43.2%
Latin 45
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 262
 
7.5%
오 257
 
7.4%
동 232
 
6.7%
경 200
 
5.7%
왕 181
 
5.2%
의 181
 
5.2%
기 180
 
5.2%
시 180
 
5.2%
도 180
 
5.2%
길 173
 
5.0%
Other values (116) 1462
41.9%
Common
ValueCountFrequency (%)
1078
40.1%
1 282
 
10.5%
, 224
 
8.3%
( 196
 
7.3%
) 196
 
7.3%
0 118
 
4.4%
3 115
 
4.3%
9 95
 
3.5%
2 84
 
3.1%
4 65
 
2.4%
Other values (6) 234
 
8.7%
Latin
ValueCountFrequency (%)
A 26
57.8%
B 7
 
15.6%
C 2
 
4.4%
N 2
 
4.4%
K 2
 
4.4%
S 1
 
2.2%
c 1
 
2.2%
D 1
 
2.2%
L 1
 
2.2%
O 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3487
56.1%
ASCII 2732
43.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1078
39.5%
1 282
 
10.3%
, 224
 
8.2%
( 196
 
7.2%
) 196
 
7.2%
0 118
 
4.3%
3 115
 
4.2%
9 95
 
3.5%
2 84
 
3.1%
4 65
 
2.4%
Other values (17) 279
 
10.2%
Hangul
ValueCountFrequency (%)
전 262
 
7.5%
오 257
 
7.4%
동 232
 
6.7%
경 200
 
5.7%
왕 181
 
5.2%
의 181
 
5.2%
기 180
 
5.2%
시 180
 
5.2%
도 180
 
5.2%
길 173
 
5.0%
Other values (115) 1461
41.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공장대표주소(지번)
Text

Distinct163
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-30T06:34:14.303093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length51
Mean length26.972222
Min length16

Characters and Unicode

Total characters4855
Distinct characters107
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)84.4%

Sample

1st row경기도 의왕시 오전동 200-15번지
2nd row경기도 의왕시 오전동 206-3번지 외1필지
3rd row경기도 의왕시 오전동 35-29번지 302호
4th row경기도 의왕시 오전동 35-29번지 중앙빌딩 402호
5th row경기도 의왕시 오전동 38-11번지
ValueCountFrequency (%)
경기도 180
17.4%
오전동 180
17.4%
의왕시 180
17.4%
대현테크노월드 33
 
3.2%
174번지 20
 
1.9%
벽산선영테크노피아 20
 
1.9%
a동 15
 
1.5%
196-5번지 13
 
1.3%
4층 10
 
1.0%
172-4번지 10
 
1.0%
Other values (215) 372
36.0%
2024-03-30T06:34:15.542676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
868
 
17.9%
1 311
 
6.4%
동 219
 
4.5%
전 182
 
3.7%
경 180
 
3.7%
도 180
 
3.7%
의 180
 
3.7%
왕 180
 
3.7%
시 180
 
3.7%
오 180
 
3.7%
Other values (97) 2195
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2702
55.7%
Decimal Number 1103
22.7%
Space Separator 868
 
17.9%
Dash Punctuation 120
 
2.5%
Other Punctuation 24
 
0.5%
Uppercase Letter 23
 
0.5%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 219
 
8.1%
전 182
 
6.7%
경 180
 
6.7%
도 180
 
6.7%
의 180
 
6.7%
왕 180
 
6.7%
시 180
 
6.7%
오 180
 
6.7%
기 180
 
6.7%
지 151
 
5.6%
Other values (78) 890
32.9%
Decimal Number
ValueCountFrequency (%)
1 311
28.2%
0 131
11.9%
2 119
 
10.8%
4 102
 
9.2%
3 95
 
8.6%
7 79
 
7.2%
5 73
 
6.6%
8 66
 
6.0%
9 65
 
5.9%
6 62
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 15
65.2%
B 6
 
26.1%
C 2
 
8.7%
Space Separator
ValueCountFrequency (%)
868
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2703
55.7%
Common 2129
43.9%
Latin 23
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 219
 
8.1%
전 182
 
6.7%
경 180
 
6.7%
도 180
 
6.7%
의 180
 
6.7%
왕 180
 
6.7%
시 180
 
6.7%
오 180
 
6.7%
기 180
 
6.7%
지 151
 
5.6%
Other values (79) 891
33.0%
Common
ValueCountFrequency (%)
868
40.8%
1 311
 
14.6%
0 131
 
6.2%
- 120
 
5.6%
2 119
 
5.6%
4 102
 
4.8%
3 95
 
4.5%
7 79
 
3.7%
5 73
 
3.4%
8 66
 
3.1%
Other values (5) 165
 
7.8%
Latin
ValueCountFrequency (%)
A 15
65.2%
B 6
 
26.1%
C 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2702
55.7%
ASCII 2152
44.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
868
40.3%
1 311
 
14.5%
0 131
 
6.1%
- 120
 
5.6%
2 119
 
5.5%
4 102
 
4.7%
3 95
 
4.4%
7 79
 
3.7%
5 73
 
3.4%
8 66
 
3.1%
Other values (8) 188
 
8.7%
Hangul
ValueCountFrequency (%)
동 219
 
8.1%
전 182
 
6.7%
경 180
 
6.7%
도 180
 
6.7%
의 180
 
6.7%
왕 180
 
6.7%
시 180
 
6.7%
오 180
 
6.7%
기 180
 
6.7%
지 151
 
5.6%
Other values (78) 890
32.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종명
Text

Distinct122
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-30T06:34:16.169635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26.5
Mean length17.211111
Min length3

Characters and Unicode

Total characters3098
Distinct characters186
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)52.8%

Sample

1st row문구용 종이제품 제조업
2nd row기타 기계.장비 조립용 플라스틱 제품 제조업 외 1 종
3rd row화장품 제조업
4th row플라스틱 접착처리 제품 제조업 외 2 종
5th row화장품 제조업
ValueCountFrequency (%)
제조업 173
17.4%
외 94
 
9.4%
및 69
 
6.9%
종 67
 
6.7%
기타 58
 
5.8%
1 40
 
4.0%
그 27
 
2.7%
주형 15
 
1.5%
금형 15
 
1.5%
측정 14
 
1.4%
Other values (191) 424
42.6%
2024-03-30T06:34:17.318191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
817
26.4%
제 210
 
6.8%
조 200
 
6.5%
업 182
 
5.9%
기 157
 
5.1%
외 95
 
3.1%
종 70
 
2.3%
및 69
 
2.2%
용 61
 
2.0%
타 58
 
1.9%
Other values (176) 1179
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2180
70.4%
Space Separator 817
 
26.4%
Decimal Number 69
 
2.2%
Other Punctuation 32
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 210
 
9.6%
조 200
 
9.2%
업 182
 
8.3%
기 157
 
7.2%
외 95
 
4.4%
종 70
 
3.2%
및 69
 
3.2%
용 61
 
2.8%
타 58
 
2.7%
품 50
 
2.3%
Other values (167) 1028
47.2%
Decimal Number
ValueCountFrequency (%)
1 42
60.9%
2 15
 
21.7%
3 7
 
10.1%
4 3
 
4.3%
7 1
 
1.4%
5 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
. 1
 
3.1%
Space Separator
ValueCountFrequency (%)
817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2180
70.4%
Common 918
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 210
 
9.6%
조 200
 
9.2%
업 182
 
8.3%
기 157
 
7.2%
외 95
 
4.4%
종 70
 
3.2%
및 69
 
3.2%
용 61
 
2.8%
타 58
 
2.7%
품 50
 
2.3%
Other values (167) 1028
47.2%
Common
ValueCountFrequency (%)
817
89.0%
1 42
 
4.6%
, 31
 
3.4%
2 15
 
1.6%
3 7
 
0.8%
4 3
 
0.3%
7 1
 
0.1%
5 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2179
70.3%
ASCII 918
29.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
817
89.0%
1 42
 
4.6%
, 31
 
3.4%
2 15
 
1.6%
3 7
 
0.8%
4 3
 
0.3%
7 1
 
0.1%
5 1
 
0.1%
. 1
 
0.1%
Hangul
ValueCountFrequency (%)
제 210
 
9.6%
조 200
 
9.2%
업 182
 
8.4%
기 157
 
7.2%
외 95
 
4.4%
종 70
 
3.2%
및 69
 
3.2%
용 61
 
2.8%
타 58
 
2.7%
품 50
 
2.3%
Other values (166) 1027
47.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

전화번호
Text

MISSING 

Distinct160
Distinct (%)95.8%
Missing13
Missing (%)7.2%
Memory size1.5 KiB
2024-03-30T06:34:18.042419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.053892
Min length8

Characters and Unicode

Total characters2013
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

Unique154 ?
Unique (%)92.2%

Sample

1st row031-459-5300
2nd row15449284
3rd row070-7792-2020
4th row070-4240-6187
5th row031-427-6181
ValueCountFrequency (%)
031-460-3014 3
 
1.8%
031-427-3500 2
 
1.2%
031-458-2174 2
 
1.2%
031-428-0100 2
 
1.2%
031-452-0768 2
 
1.2%
031-453-8555 2
 
1.2%
031-429-5315 1
 
0.6%
031-457-1240 1
 
0.6%
031-391-6395 1
 
0.6%
031-360-8441 1
 
0.6%
Other values (150) 150
89.8%
2024-03-30T06:34:19.212305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 332
16.5%
0 308
15.3%
1 258
12.8%
3 243
12.1%
4 205
10.2%
7 147
7.3%
5 141
7.0%
2 134
6.7%
8 92
 
4.6%
6 88
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1681
83.5%
Dash Punctuation 332
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 308
18.3%
1 258
15.3%
3 243
14.5%
4 205
12.2%
7 147
8.7%
5 141
8.4%
2 134
8.0%
8 92
 
5.5%
6 88
 
5.2%
9 65
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2013
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 332
16.5%
0 308
15.3%
1 258
12.8%
3 243
12.1%
4 205
10.2%
7 147
7.3%
5 141
7.0%
2 134
6.7%
8 92
 
4.6%
6 88
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 332
16.5%
0 308
15.3%
1 258
12.8%
3 243
12.1%
4 205
10.2%
7 147
7.3%
5 141
7.0%
2 134
6.7%
8 92
 
4.6%
6 88
 
4.4%

팩스번호
Text

MISSING 

Distinct155
Distinct (%)96.3%
Missing19
Missing (%)10.6%
Memory size1.5 KiB
2024-03-30T06:34:20.035749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.074534
Min length11

Characters and Unicode

Total characters1944
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

Unique149 ?
Unique (%)92.5%

Sample

1st row031-459-5306
2nd row031-453-2984
3rd row031-427-0220
4th row031-444-4611
5th row031-427-6484
ValueCountFrequency (%)
031-453-8552 2
 
1.2%
031-427-3501 2
 
1.2%
031-458-2175 2
 
1.2%
031-459-7321 2
 
1.2%
031-452-0769 2
 
1.2%
031-453-2984 2
 
1.2%
031-462-6485 1
 
0.6%
031-9263-736 1
 
0.6%
031-459-5306 1
 
0.6%
031-342-5701 1
 
0.6%
Other values (145) 145
90.1%
2024-03-30T06:34:21.355426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 322
16.6%
0 273
14.0%
1 230
11.8%
3 228
11.7%
4 199
10.2%
5 152
7.8%
7 134
6.9%
2 121
 
6.2%
6 99
 
5.1%
8 93
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1622
83.4%
Dash Punctuation 322
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 273
16.8%
1 230
14.2%
3 228
14.1%
4 199
12.3%
5 152
9.4%
7 134
8.3%
2 121
7.5%
6 99
 
6.1%
8 93
 
5.7%
9 93
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1944
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 322
16.6%
0 273
14.0%
1 230
11.8%
3 228
11.7%
4 199
10.2%
5 152
7.8%
7 134
6.9%
2 121
 
6.2%
6 99
 
5.1%
8 93
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 322
16.6%
0 273
14.0%
1 230
11.8%
3 228
11.7%
4 199
10.2%
5 152
7.8%
7 134
6.9%
2 121
 
6.2%
6 99
 
5.1%
8 93
 
4.8%

종업원수
Real number (ℝ)

Distinct46
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.316667
Minimum0
Maximum249
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-30T06:34:21.798368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q316
95-th percentile42.1
Maximum249
Range249
Interquartile range (IQR)12

Descriptive statistics

Standard deviation24.594698
Coefficient of variation (CV)1.7179067
Kurtosis50.657197
Mean14.316667
Median Absolute Deviation (MAD)4
Skewness6.1893246
Sum2577
Variance604.89916
MonotonicityNot monotonic
2024-03-30T06:34:22.516406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3 23
 
12.8%
5 18
 
10.0%
4 16
 
8.9%
7 11
 
6.1%
6 11
 
6.1%
1 9
 
5.0%
8 9
 
5.0%
10 7
 
3.9%
11 6
 
3.3%
9 5
 
2.8%
Other values (36) 65
36.1%
ValueCountFrequency (%)
0 1
 
0.6%
1 9
 
5.0%
2 5
 
2.8%
3 23
12.8%
4 16
8.9%
5 18
10.0%
6 11
6.1%
7 11
6.1%
8 9
 
5.0%
9 5
 
2.8%
ValueCountFrequency (%)
249 1
0.6%
145 1
0.6%
90 1
0.6%
82 1
0.6%
75 1
0.6%
50 1
0.6%
48 1
0.6%
47 1
0.6%
44 1
0.6%
42 1
0.6%

생산품
Text

Distinct172
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-30T06:34:24.500614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length10.65
Min length2

Characters and Unicode

Total characters1917
Distinct characters321
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)93.3%

Sample

1st row쇼핑백
2nd row프린터 부품 및 프린터 제조
3rd row화장품(세럼)
4th row애완견 배설물 처리기구
5th row화장품
ValueCountFrequency (%)
금형 10
 
2.6%
및 9
 
2.3%
플라스틱 6
 
1.6%
led 5
 
1.3%
sampler 4
 
1.0%
기계 4
 
1.0%
자동화 4
 
1.0%
전자부품 4
 
1.0%
화장품 3
 
0.8%
제조 3
 
0.8%
Other values (307) 333
86.5%
2024-03-30T06:34:27.220632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
10.7%
기 78
 
4.1%
, 76
 
4.0%
장 51
 
2.7%
자 36
 
1.9%
품 36
 
1.9%
용 35
 
1.8%
스 34
 
1.8%
제 28
 
1.5%
전 27
 
1.4%
Other values (311) 1310
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1323
69.0%
Space Separator 206
 
10.7%
Uppercase Letter 144
 
7.5%
Lowercase Letter 138
 
7.2%
Other Punctuation 83
 
4.3%
Open Punctuation 10
 
0.5%
Close Punctuation 9
 
0.5%
Dash Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 78
 
5.9%
장 51
 
3.9%
자 36
 
2.7%
품 36
 
2.7%
용 35
 
2.6%
스 34
 
2.6%
제 28
 
2.1%
전 27
 
2.0%
조 24
 
1.8%
형 23
 
1.7%
Other values (262) 951
71.9%
Lowercase Letter
ValueCountFrequency (%)
e 19
13.8%
l 14
10.1%
t 12
 
8.7%
a 12
 
8.7%
s 10
 
7.2%
r 10
 
7.2%
d 9
 
6.5%
o 8
 
5.8%
c 7
 
5.1%
i 7
 
5.1%
Other values (10) 30
21.7%
Uppercase Letter
ValueCountFrequency (%)
C 16
11.1%
D 14
 
9.7%
A 12
 
8.3%
L 12
 
8.3%
E 12
 
8.3%
S 12
 
8.3%
T 9
 
6.2%
M 8
 
5.6%
R 7
 
4.9%
P 7
 
4.9%
Other values (10) 35
24.3%
Other Punctuation
ValueCountFrequency (%)
, 76
91.6%
/ 3
 
3.6%
. 2
 
2.4%
' 2
 
2.4%
Space Separator
ValueCountFrequency (%)
206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1323
69.0%
Common 312
 
16.3%
Latin 282
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 78
 
5.9%
장 51
 
3.9%
자 36
 
2.7%
품 36
 
2.7%
용 35
 
2.6%
스 34
 
2.6%
제 28
 
2.1%
전 27
 
2.0%
조 24
 
1.8%
형 23
 
1.7%
Other values (262) 951
71.9%
Latin
ValueCountFrequency (%)
e 19
 
6.7%
C 16
 
5.7%
D 14
 
5.0%
l 14
 
5.0%
t 12
 
4.3%
a 12
 
4.3%
A 12
 
4.3%
L 12
 
4.3%
E 12
 
4.3%
S 12
 
4.3%
Other values (30) 147
52.1%
Common
ValueCountFrequency (%)
206
66.0%
, 76
 
24.4%
( 10
 
3.2%
) 9
 
2.9%
- 3
 
1.0%
/ 3
 
1.0%
. 2
 
0.6%
' 2
 
0.6%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1323
69.0%
ASCII 594
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
34.7%
, 76
 
12.8%
e 19
 
3.2%
C 16
 
2.7%
D 14
 
2.4%
l 14
 
2.4%
t 12
 
2.0%
a 12
 
2.0%
A 12
 
2.0%
L 12
 
2.0%
Other values (39) 201
33.8%
Hangul
ValueCountFrequency (%)
기 78
 
5.9%
장 51
 
3.9%
자 36
 
2.7%
품 36
 
2.7%
용 35
 
2.6%
스 34
 
2.6%
제 28
 
2.1%
전 27
 
2.0%
조 24
 
1.8%
형 23
 
1.7%
Other values (262) 951
71.9%

주원자재
Text

MISSING 

Distinct93
Distinct (%)89.4%
Missing76
Missing (%)42.2%
Memory size1.5 KiB
2024-03-30T06:34:27.809821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length11.442308
Min length1

Characters and Unicode

Total characters1190
Distinct characters251
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)81.7%

Sample

1st row종이
2nd row세럼액
3rd row몰드베이스 S55C
4th row원단
5th row반도체 재료
ValueCountFrequency (%)
전자부품 8
 
3.2%
pcb 8
 
3.2%
플라스틱 6
 
2.4%
알루미늄 6
 
2.4%
led 5
 
2.0%
등 5
 
2.0%
케이블 4
 
1.6%
철판 4
 
1.6%
부품 3
 
1.2%
강판 3
 
1.2%
Other values (174) 199
79.3%
2024-03-30T06:34:28.963818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
12.4%
, 103
 
8.7%
C 26
 
2.2%
스 24
 
2.0%
P 24
 
2.0%
이 20
 
1.7%
s 20
 
1.7%
e 17
 
1.4%
L 17
 
1.4%
판 16
 
1.3%
Other values (241) 776
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
49.3%
Uppercase Letter 161
 
13.5%
Lowercase Letter 152
 
12.8%
Space Separator 147
 
12.4%
Other Punctuation 111
 
9.3%
Decimal Number 19
 
1.6%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 24
 
4.1%
이 20
 
3.4%
판 16
 
2.7%
전 16
 
2.7%
부 16
 
2.7%
품 16
 
2.7%
자 14
 
2.4%
라 12
 
2.0%
기 12
 
2.0%
철 11
 
1.9%
Other values (183) 430
73.3%
Lowercase Letter
ValueCountFrequency (%)
s 20
13.2%
e 17
11.2%
a 15
9.9%
i 12
 
7.9%
r 10
 
6.6%
l 10
 
6.6%
t 9
 
5.9%
c 9
 
5.9%
o 9
 
5.9%
m 7
 
4.6%
Other values (13) 34
22.4%
Uppercase Letter
ValueCountFrequency (%)
C 26
16.1%
P 24
14.9%
L 17
10.6%
E 14
8.7%
D 13
8.1%
B 12
7.5%
A 9
 
5.6%
T 8
 
5.0%
M 6
 
3.7%
S 6
 
3.7%
Other values (9) 26
16.1%
Decimal Number
ValueCountFrequency (%)
0 4
21.1%
5 4
21.1%
4 3
15.8%
3 2
10.5%
2 2
10.5%
6 2
10.5%
1 1
 
5.3%
8 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 103
92.8%
. 5
 
4.5%
' 2
 
1.8%
& 1
 
0.9%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
49.3%
Latin 313
26.3%
Common 290
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 24
 
4.1%
이 20
 
3.4%
판 16
 
2.7%
전 16
 
2.7%
부 16
 
2.7%
품 16
 
2.7%
자 14
 
2.4%
라 12
 
2.0%
기 12
 
2.0%
철 11
 
1.9%
Other values (183) 430
73.3%
Latin
ValueCountFrequency (%)
C 26
 
8.3%
P 24
 
7.7%
s 20
 
6.4%
e 17
 
5.4%
L 17
 
5.4%
a 15
 
4.8%
E 14
 
4.5%
D 13
 
4.2%
B 12
 
3.8%
i 12
 
3.8%
Other values (32) 143
45.7%
Common
ValueCountFrequency (%)
147
50.7%
, 103
35.5%
) 6
 
2.1%
( 6
 
2.1%
. 5
 
1.7%
0 4
 
1.4%
5 4
 
1.4%
4 3
 
1.0%
' 2
 
0.7%
3 2
 
0.7%
Other values (6) 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 603
50.7%
Hangul 587
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
24.4%
, 103
17.1%
C 26
 
4.3%
P 24
 
4.0%
s 20
 
3.3%
e 17
 
2.8%
L 17
 
2.8%
a 15
 
2.5%
E 14
 
2.3%
D 13
 
2.2%
Other values (48) 207
34.3%
Hangul
ValueCountFrequency (%)
스 24
 
4.1%
이 20
 
3.4%
판 16
 
2.7%
전 16
 
2.7%
부 16
 
2.7%
품 16
 
2.7%
자 14
 
2.4%
라 12
 
2.0%
기 12
 
2.0%
철 11
 
1.9%
Other values (183) 430
73.3%

Interactions

2024-03-30T06:34:06.194829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T06:34:29.221036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수주원자재
종업원수1.0000.939
주원자재0.9391.000

Missing values

2024-03-30T06:34:06.541460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T06:34:07.296864image/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.
2024-03-30T06:34:07.759353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

회사명대표자명공장대표주소(도로명)공장대표주소(지번)업종명전화번호팩스번호종업원수생산품주원자재
0(주)에스엔케이 인터내쇼날김득하경기도 의왕시 경수대로 339 (오전동, (주)S.N.K인터내쇼날) (총 3 필지)경기도 의왕시 오전동 200-15번지문구용 종이제품 제조업031-459-5300031-459-530635쇼핑백종이
1(주)스마트전산박종진경기도 의왕시 경수대로 361-9, 외1필지 (오전동)경기도 의왕시 오전동 206-3번지 외1필지기타 기계.장비 조립용 플라스틱 제품 제조업 외 1 종15449284031-453-29845프린터 부품 및 프린터 제조<NA>
2(주)뮤제코스메틱장정훈경기도 의왕시 경수대로 411, 302호 (오전동)경기도 의왕시 오전동 35-29번지 302호화장품 제조업070-7792-2020031-427-02208화장품(세럼)세럼액
3(주)테마코김재철경기도 의왕시 경수대로 411, 중앙빌딩 402호 (오전동)경기도 의왕시 오전동 35-29번지 중앙빌딩 402호플라스틱 접착처리 제품 제조업 외 2 종070-4240-6187031-444-46113애완견 배설물 처리기구<NA>
4(주)프로유화장품유범경기도 의왕시 경수대로391번길 10 (오전동)경기도 의왕시 오전동 38-11번지화장품 제조업031-427-6181031-427-648420화장품<NA>
5(주)삼화피앤티김준배경기도 의왕시 경수대로391번길 14 (오전동)경기도 의왕시 오전동 38-13번지포장용 플라스틱 성형용기 제조업031-460-0200031-457-050021플라스틱 성형물몰드베이스 S55C
6예사박정미경기도 의왕시 경수대로391번길 14-11(오전동, (주)나라테크)경기도 의왕시 오전동 38-1 (주)나라테크근무복, 작업복 및 유사의복 제조업 외 1 종031-427-6731031-451-673125의류원단
7(주)진성하이텍나승옥경기도 의왕시 경수대로391번길 14-11, 3층 (오전동)경기도 의왕시 오전동 38-1번지 3층그 외 기타 특수목적용 기계 제조업 외 1 종031-454-9727031-454-97289자동테이핑머신 외반도체 재료
8(주)세한에너지오세천경기도 의왕시 경수대로391번길 14-11, 4층 (오전동)경기도 의왕시 오전동 38-1 번지 4층가정용 전기 난방기기 제조업031-383-3004031-383-30408온수관보일러,히트파이프<NA>
9(주)비케이엠에스김정욱경기도 의왕시 경수대로391번길 14-13, 1층 (오전동)경기도 의왕시 오전동 38-20번지 1층그 외 기타 특수목적용 기계 제조업 외 1 종031-454-7100031-453-21004물필터 공기정화기, 소형 연마기 패드플라스틱
회사명대표자명공장대표주소(도로명)공장대표주소(지번)업종명전화번호팩스번호종업원수생산품주원자재
170태평양금속공업(주)김세환경기도 의왕시 옻우물길 30 (오전동, 태평양금속공업(주))경기도 의왕시 오전동 208번지알루미늄 압연, 압출 및 연신제품 제조업031-451-1637031-453-64278병마개<NA>
171에이치에스도장건설(주)장홍록경기도 의왕시 옻우물길 30, 제3호 (오전동)경기도 의왕시 오전동 208번지 제3호합성수지 및 기타 플라스틱 물질 제조업032-511-0482032-511-04831미끄럼방지 포장재, 도장형 바닥재아크릴수지(MMA)
172민테크최회선경기도 의왕시 옻우물길 33, 1층 (오전동, 대호빌딩)경기도 의왕시 오전동 190-1번지 대호빌딩 1층주형 및 금형 제조업031-429-7751<NA>1금속제품<NA>
173(주)대명전자정영희경기도 의왕시 옻우물길 35 (오전동, 대명전자)경기도 의왕시 오전동 189-1번지인쇄회로기판용 적층판 제조업 외 2 종031-429-6656031-453-86949전자회로기판PCB
174신성산업김우섭경기도 의왕시 옻우물길 41 (오전동, 신성산업)경기도 의왕시 오전동 134번지탭, 밸브 및 유사장치 제조업031-459-0511031-629-50998가스노즐, 전자부품가스노즐, 전자부품
175명성전자산업김용만경기도 의왕시 옻우물길 45-1 (오전동, 명성전자)경기도 의왕시 오전동 133-2번지인쇄회로기판용 적층판 제조업 외 2 종031-458-0874031-458-082510인쇄회로기판적층판
176(주)티더블유에스이헌국경기도 의왕시 옻우물길 45-1(오전동, 유한킴벌리)경기도 의왕시 오전동 133-2 유한킴벌리육상 금속 골조 구조재 제조업<NA><NA>4우산제수기스테인레스, 포맥스, 매트
177큐머시스정재성경기도 의왕시 옻우물길 57 (오전동)경기도 의왕시 오전동 131-2번지물질 검사, 측정 및 분석기구 제조업031-453-8555031-453-85526만능재료시험기, 충격시험기, 마모시험기, 열변형시험기, 유동성시험기<NA>
178(주)리모템송화진경기도 의왕시 옻우물길 59 (오전동)경기도 의왕시 오전동 130-2물질 검사, 측정 및 분석기구 제조업031-381-2435031-624-990810충격시험기, 재료시험기, 정밀측정장비, 시험기기외철소재, 정밀센서, PCB보드, 서보모터, 드라이버, MCU보드
179큐머시스정재성경기도 의왕시 의왕군포로 16 (오전동)경기도 의왕시 오전동 131-2번지물질 검사, 측정 및 분석기구 제조업031-453-8555031-453-85527정밀 시험측정장비<NA>