Overview

Dataset statistics

Number of variables5
Number of observations1330
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.1 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description경기도 시흥시 공장등록취소현황 입니다(경기도 시흥시 공장등록취소현황에는 단지명, 회사명, 도로명주소, 업종명, 등록취소일이 있습니다)
URLhttps://www.data.go.kr/data/15105908/fileData.do

Alerts

단지명 is highly imbalanced (64.5%)Imbalance

Reproduction

Analysis started2023-12-12 13:41:05.787285
Analysis finished2023-12-12 13:41:06.770308
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단지명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
시화국가산업단지
1153 
<NA>
 
114
시화멀티테크노밸리
 
58
시흥매화일반산업단지
 
5

Length

Max length10
Median length8
Mean length7.7082707
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row시화국가산업단지
3rd row시화국가산업단지
4th row시화국가산업단지
5th row시화국가산업단지

Common Values

ValueCountFrequency (%)
시화국가산업단지 1153
86.7%
<NA> 114
 
8.6%
시화멀티테크노밸리 58
 
4.4%
시흥매화일반산업단지 5
 
0.4%

Length

2023-12-12T22:41:06.844384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:06.944941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시화국가산업단지 1153
86.7%
na 114
 
8.6%
시화멀티테크노밸리 58
 
4.4%
시흥매화일반산업단지 5
 
0.4%
Distinct1292
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-12T22:41:07.143290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.6428571
Min length2

Characters and Unicode

Total characters8835
Distinct characters441
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

Unique1257 ?
Unique (%)94.5%

Sample

1st row(주)에스앤그래픽스 시흥지점
2nd row다은산업
3rd row동양특수연마
4th row동우에이치에스티(주)
5th row(주)아반트코리아
ValueCountFrequency (%)
주식회사 19
 
1.4%
tech 4
 
0.3%
시흥공장 3
 
0.2%
시흥지점 3
 
0.2%
주)진테크 3
 
0.2%
대종산업 3
 
0.2%
주)에스피엠 3
 
0.2%
아토정밀 2
 
0.1%
엠테크 2
 
0.1%
에스엘코리아 2
 
0.1%
Other values (1302) 1332
96.8%
2023-12-12T22:41:07.547707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
753
 
8.5%
( 731
 
8.3%
) 731
 
8.3%
369
 
4.2%
279
 
3.2%
204
 
2.3%
203
 
2.3%
199
 
2.3%
142
 
1.6%
116
 
1.3%
Other values (431) 5108
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7019
79.4%
Open Punctuation 731
 
8.3%
Close Punctuation 731
 
8.3%
Uppercase Letter 244
 
2.8%
Space Separator 46
 
0.5%
Lowercase Letter 34
 
0.4%
Other Punctuation 17
 
0.2%
Decimal Number 11
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
753
 
10.7%
369
 
5.3%
279
 
4.0%
204
 
2.9%
203
 
2.9%
199
 
2.8%
142
 
2.0%
116
 
1.7%
110
 
1.6%
106
 
1.5%
Other values (385) 4538
64.7%
Uppercase Letter
ValueCountFrequency (%)
N 30
12.3%
G 28
11.5%
E 28
11.5%
T 23
 
9.4%
S 18
 
7.4%
M 11
 
4.5%
C 11
 
4.5%
L 11
 
4.5%
H 10
 
4.1%
I 10
 
4.1%
Other values (13) 64
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
23.5%
c 5
14.7%
l 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
h 3
 
8.8%
s 2
 
5.9%
i 2
 
5.9%
o 2
 
5.9%
u 1
 
2.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
0 3
27.3%
9 2
18.2%
5 1
 
9.1%
1 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 13
76.5%
& 4
 
23.5%
Open Punctuation
ValueCountFrequency (%)
( 731
100.0%
Close Punctuation
ValueCountFrequency (%)
) 731
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7019
79.4%
Common 1538
 
17.4%
Latin 278
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
753
 
10.7%
369
 
5.3%
279
 
4.0%
204
 
2.9%
203
 
2.9%
199
 
2.8%
142
 
2.0%
116
 
1.7%
110
 
1.6%
106
 
1.5%
Other values (385) 4538
64.7%
Latin
ValueCountFrequency (%)
N 30
 
10.8%
G 28
 
10.1%
E 28
 
10.1%
T 23
 
8.3%
S 18
 
6.5%
M 11
 
4.0%
C 11
 
4.0%
L 11
 
4.0%
H 10
 
3.6%
I 10
 
3.6%
Other values (25) 98
35.3%
Common
ValueCountFrequency (%)
( 731
47.5%
) 731
47.5%
46
 
3.0%
. 13
 
0.8%
2 4
 
0.3%
& 4
 
0.3%
0 3
 
0.2%
9 2
 
0.1%
- 2
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7019
79.4%
ASCII 1816
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
753
 
10.7%
369
 
5.3%
279
 
4.0%
204
 
2.9%
203
 
2.9%
199
 
2.8%
142
 
2.0%
116
 
1.7%
110
 
1.6%
106
 
1.5%
Other values (385) 4538
64.7%
ASCII
ValueCountFrequency (%)
( 731
40.3%
) 731
40.3%
46
 
2.5%
N 30
 
1.7%
G 28
 
1.5%
E 28
 
1.5%
T 23
 
1.3%
S 18
 
1.0%
. 13
 
0.7%
M 11
 
0.6%
Other values (36) 157
 
8.6%
Distinct1228
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-12T22:41:07.863493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length63
Mean length38.333083
Min length19

Characters and Unicode

Total characters50983
Distinct characters270
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1143 ?
Unique (%)85.9%

Sample

1st row경기도 시흥시 포도원로116번길 25 (신천동) 프라임지식산업센타 704호
2nd row경기도 시흥시 군자천로 141, 1266-11번지 2라 302-11 (정왕동, 대신건기산업)
3rd row경기도 시흥시 공단1대로 67, 103호, 1나 707-4 (정왕동)
4th row경기도 시흥시 희망공원로 255, 2나 204 (정왕동, (주)동우열처리공업)
5th row경기도 시흥시 서해안로 242, 시화하이테크지식산업센터 107호, 1나 208 (정왕동)
ValueCountFrequency (%)
경기도 1330
 
13.2%
시흥시 1330
 
13.2%
정왕동 1256
 
12.4%
시화단지 133
 
1.3%
3바 115
 
1.1%
공단1대로 84
 
0.8%
정왕천로 83
 
0.8%
3마 69
 
0.7%
2바 62
 
0.6%
경기과기대로 62
 
0.6%
Other values (1592) 5584
55.2%
2023-12-12T22:41:08.382329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8793
 
17.2%
2989
 
5.9%
1 2868
 
5.6%
2 2160
 
4.2%
3 1728
 
3.4%
1654
 
3.2%
1541
 
3.0%
, 1534
 
3.0%
( 1490
 
2.9%
) 1490
 
2.9%
Other values (260) 24736
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24177
47.4%
Decimal Number 12561
24.6%
Space Separator 8793
 
17.2%
Open Punctuation 1538
 
3.0%
Close Punctuation 1538
 
3.0%
Other Punctuation 1535
 
3.0%
Dash Punctuation 523
 
1.0%
Uppercase Letter 264
 
0.5%
Lowercase Letter 49
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2989
 
12.4%
1654
 
6.8%
1541
 
6.4%
1440
 
6.0%
1400
 
5.8%
1397
 
5.8%
1353
 
5.6%
1347
 
5.6%
1345
 
5.6%
681
 
2.8%
Other values (217) 9030
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 54
20.5%
M 48
18.2%
T 45
17.0%
V 44
16.7%
A 34
12.9%
P 6
 
2.3%
J 6
 
2.3%
C 6
 
2.3%
K 5
 
1.9%
S 3
 
1.1%
Other values (8) 13
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 2868
22.8%
2 2160
17.2%
3 1728
13.8%
0 1488
11.8%
4 791
 
6.3%
5 769
 
6.1%
7 761
 
6.1%
6 757
 
6.0%
8 677
 
5.4%
9 562
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
l 45
91.8%
e 1
 
2.0%
y 1
 
2.0%
o 1
 
2.0%
j 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 1534
99.9%
: 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1490
96.9%
[ 48
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 1490
96.9%
] 48
 
3.1%
Space Separator
ValueCountFrequency (%)
8793
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 523
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26490
52.0%
Hangul 24177
47.4%
Latin 316
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2989
 
12.4%
1654
 
6.8%
1541
 
6.4%
1440
 
6.0%
1400
 
5.8%
1397
 
5.8%
1353
 
5.6%
1347
 
5.6%
1345
 
5.6%
681
 
2.8%
Other values (217) 9030
37.3%
Latin
ValueCountFrequency (%)
B 54
17.1%
M 48
15.2%
T 45
14.2%
l 45
14.2%
V 44
13.9%
A 34
10.8%
P 6
 
1.9%
J 6
 
1.9%
C 6
 
1.9%
K 5
 
1.6%
Other values (14) 23
7.3%
Common
ValueCountFrequency (%)
8793
33.2%
1 2868
 
10.8%
2 2160
 
8.2%
3 1728
 
6.5%
, 1534
 
5.8%
( 1490
 
5.6%
) 1490
 
5.6%
0 1488
 
5.6%
4 791
 
3.0%
5 769
 
2.9%
Other values (9) 3379
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26803
52.6%
Hangul 24177
47.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8793
32.8%
1 2868
 
10.7%
2 2160
 
8.1%
3 1728
 
6.4%
, 1534
 
5.7%
( 1490
 
5.6%
) 1490
 
5.6%
0 1488
 
5.6%
4 791
 
3.0%
5 769
 
2.9%
Other values (32) 3692
13.8%
Hangul
ValueCountFrequency (%)
2989
 
12.4%
1654
 
6.8%
1541
 
6.4%
1440
 
6.0%
1400
 
5.8%
1397
 
5.8%
1353
 
5.6%
1347
 
5.6%
1345
 
5.6%
681
 
2.8%
Other values (217) 9030
37.3%
Number Forms
ValueCountFrequency (%)
3
100.0%
Distinct363
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-12T22:41:08.759719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length16.414286
Min length3

Characters and Unicode

Total characters21831
Distinct characters267
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

Unique204 ?
Unique (%)15.3%

Sample

1st row그 외 기타 가구 제조업
2nd row그 외 기타 금속가공업
3rd row절삭가공 및 유사처리업
4th row산업용 오븐, 노 및 노용 버너 제조업 외 4 종
5th row농업 및 임업용 기계 제조업 외 8 종
ValueCountFrequency (%)
제조업 1048
 
15.2%
677
 
9.8%
556
 
8.1%
기타 401
 
5.8%
401
 
5.8%
276
 
4.0%
1 242
 
3.5%
유사처리업 169
 
2.4%
절삭가공 169
 
2.4%
금속 168
 
2.4%
Other values (392) 2791
40.5%
2023-12-12T22:41:09.269478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5568
25.5%
1382
 
6.3%
1369
 
6.3%
1236
 
5.7%
940
 
4.3%
677
 
3.1%
556
 
2.5%
407
 
1.9%
403
 
1.8%
383
 
1.8%
Other values (257) 8910
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15670
71.8%
Space Separator 5568
 
25.5%
Decimal Number 455
 
2.1%
Other Punctuation 138
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1382
 
8.8%
1369
 
8.7%
1236
 
7.9%
940
 
6.0%
677
 
4.3%
556
 
3.5%
407
 
2.6%
403
 
2.6%
383
 
2.4%
338
 
2.2%
Other values (244) 7979
50.9%
Decimal Number
ValueCountFrequency (%)
1 295
64.8%
2 75
 
16.5%
3 36
 
7.9%
5 18
 
4.0%
4 15
 
3.3%
6 5
 
1.1%
7 4
 
0.9%
9 4
 
0.9%
8 2
 
0.4%
0 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 135
97.8%
. 3
 
2.2%
Space Separator
ValueCountFrequency (%)
5568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15670
71.8%
Common 6161
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1382
 
8.8%
1369
 
8.7%
1236
 
7.9%
940
 
6.0%
677
 
4.3%
556
 
3.5%
407
 
2.6%
403
 
2.6%
383
 
2.4%
338
 
2.2%
Other values (244) 7979
50.9%
Common
ValueCountFrequency (%)
5568
90.4%
1 295
 
4.8%
, 135
 
2.2%
2 75
 
1.2%
3 36
 
0.6%
5 18
 
0.3%
4 15
 
0.2%
6 5
 
0.1%
7 4
 
0.1%
9 4
 
0.1%
Other values (3) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15668
71.8%
ASCII 6161
 
28.2%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5568
90.4%
1 295
 
4.8%
, 135
 
2.2%
2 75
 
1.2%
3 36
 
0.6%
5 18
 
0.3%
4 15
 
0.2%
6 5
 
0.1%
7 4
 
0.1%
9 4
 
0.1%
Other values (3) 6
 
0.1%
Hangul
ValueCountFrequency (%)
1382
 
8.8%
1369
 
8.7%
1236
 
7.9%
940
 
6.0%
677
 
4.3%
556
 
3.5%
407
 
2.6%
403
 
2.6%
383
 
2.4%
338
 
2.2%
Other values (243) 7977
50.9%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Distinct474
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size10.5 KiB
2023-12-12T22:41:09.560931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.098496
Min length10

Characters and Unicode

Total characters13431
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

Unique171 ?
Unique (%)12.9%

Sample

1st row2021-01-04
2nd row2021-01-04
3rd row2021-01-04
4th row2021-01-04
5th row2021-01-05
ValueCountFrequency (%)
2022-05-11 33
 
2.5%
2022-07-25 22
 
1.7%
2021-010-08 14
 
1.1%
2022-07-29 13
 
1.0%
2021-06-22 13
 
1.0%
2021-01-11 12
 
0.9%
2021-01-25 12
 
0.9%
2021-01-06 11
 
0.8%
2022-09-29 10
 
0.8%
2021-09-30 10
 
0.8%
Other values (464) 1180
88.7%
2023-12-12T22:41:10.023083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3901
29.0%
0 3145
23.4%
- 2660
19.8%
1 1659
12.4%
3 488
 
3.6%
8 286
 
2.1%
6 280
 
2.1%
5 270
 
2.0%
7 269
 
2.0%
4 246
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10771
80.2%
Dash Punctuation 2660
 
19.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3901
36.2%
0 3145
29.2%
1 1659
15.4%
3 488
 
4.5%
8 286
 
2.7%
6 280
 
2.6%
5 270
 
2.5%
7 269
 
2.5%
4 246
 
2.3%
9 227
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 2660
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13431
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3901
29.0%
0 3145
23.4%
- 2660
19.8%
1 1659
12.4%
3 488
 
3.6%
8 286
 
2.1%
6 280
 
2.1%
5 270
 
2.0%
7 269
 
2.0%
4 246
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3901
29.0%
0 3145
23.4%
- 2660
19.8%
1 1659
12.4%
3 488
 
3.6%
8 286
 
2.1%
6 280
 
2.1%
5 270
 
2.0%
7 269
 
2.0%
4 246
 
1.8%

Missing values

2023-12-12T22:41:06.644878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:41:06.732873image/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

단지명회사명도로명주소업종명등록취소일
0<NA>(주)에스앤그래픽스 시흥지점경기도 시흥시 포도원로116번길 25 (신천동) 프라임지식산업센타 704호그 외 기타 가구 제조업2021-01-04
1시화국가산업단지다은산업경기도 시흥시 군자천로 141, 1266-11번지 2라 302-11 (정왕동, 대신건기산업)그 외 기타 금속가공업2021-01-04
2시화국가산업단지동양특수연마경기도 시흥시 공단1대로 67, 103호, 1나 707-4 (정왕동)절삭가공 및 유사처리업2021-01-04
3시화국가산업단지동우에이치에스티(주)경기도 시흥시 희망공원로 255, 2나 204 (정왕동, (주)동우열처리공업)산업용 오븐, 노 및 노용 버너 제조업 외 4 종2021-01-04
4시화국가산업단지(주)아반트코리아경기도 시흥시 서해안로 242, 시화하이테크지식산업센터 107호, 1나 208 (정왕동)농업 및 임업용 기계 제조업 외 8 종2021-01-05
5시화국가산업단지제이와이테크경기도 시흥시 공단1대로195번길 42, 104호, 1268, 2나401-4 (정왕동)화물자동차 및 특수목적용 자동차 제조업2021-01-05
6시화국가산업단지(주)서인지엔티경기도 시흥시 산기대학로 237, 3가 301호 (정왕동, 한국산업기술대학교)전자기 측정, 시험 및 분석기구 제조업 외 4 종2021-01-06
7시화국가산업단지(주)신기테크경기도 시흥시 옥구천동로 72-2, 정왕동 2169-15, 2마 814-3 (정왕동)그 외 기타 특수목적용 기계 제조업 외 1 종2021-01-06
8시화멀티테크노밸리(주)아인스오토메이션경기도 시흥시 엠티브이25로58번길 13, 시화MTV 3사 110호 (정왕동)배전반 및 전기 자동제어반 제조업2021-01-06
9시화국가산업단지(주)진주메이트경기도 시흥시 산기대학로 237, 창업보육센터 210호 (정왕동, 한국산업기술대학교)사무 및 회화용품 제조업2021-01-06
단지명회사명도로명주소업종명등록취소일
1320시화국가산업단지(주)에이피테크경기도 시흥시 경제로 281, 1375-10 3라728 (정왕동)그 외 기타 특수목적용 기계 제조업 외 2 종2023-08-07
1321시화국가산업단지세유특강(주)경기도 시흥시 협력로 77, 1353-6 1마 707호 (정왕동)도금, 착색 및 기타 표면처리강재 제조업2023-08-07
1322시화국가산업단지(주)삼성레이져경기도 시흥시 경기과기대로 11, 3바 722호 (정왕동)그 외 기타 1차 철강 제조업2023-08-08
1323시화국가산업단지(주)홍진모터기계경기도 시흥시 공단1대로379번안길 49-1, 1294-1, 4나 302호 (정왕동)기어 및 동력전달장치 제조업 외 6 종2023-08-10
1324<NA>주식회사 스마일스퀘어경기도 시흥시 서울대학로 59-21, 707호(배곧동, 배곧로얄팰리스 테크노1차)영상게임기 제조업 외 1 종2023-08-11
1325시화국가산업단지한일피엠티(주)경기도 시흥시 옥구천서로93번길 62, [정왕동1351-4, 시화단지 1마205] (정왕동)포장용 플라스틱 성형용기 제조업2023-08-16
1326시화국가산업단지(주)신한디텍경기도 시흥시 소망공원로 16, 1라 101 (정왕동)액정 표시장치 제조업2023-08-21
1327시화국가산업단지미소기연경기도 시흥시 마유로92번길 108, 3마 415 (정왕동)그 외 기타 일반목적용 기계 제조업 외 1 종2023-08-24
1328시화국가산업단지부흥엔지니어링경기도 시흥시 마유로42번길 67, 3바 301-3 (정왕동)그 외 기타 특수목적용 기계 제조업2023-08-24
1329시화국가산업단지(주)피앤피진공경기도 시흥시 마유로82번길 91, 1380-10 3마 328호 (정왕동)기체 펌프 및 압축기 제조업2023-08-25