Overview

Dataset statistics

Number of variables7
Number of observations26
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory61.1 B

Variable types

Categorical3
Text4

Dataset

Description경기도 시흥시 위생용품제조업 현황입니다.(경기도 시흥시 위생용품제조업 현황은 업소명,소재지(도로명소재지,지번소재지),소재지전화, 담당자 연락처 입니다.
URLhttps://www.data.go.kr/data/15055104/fileData.do

Alerts

데이터기준일 has constant value ""Constant
담당자 연락처 has constant value ""Constant
업종명 is highly imbalanced (76.5%)Imbalance
소재지전화 has 1 (3.8%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:39:15.987654
Analysis finished2023-12-12 15:39:16.637862
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
위생용품제조업
25 
위생물수건처리업
 
1

Length

Max length8
Median length7
Mean length7.0384615
Min length7

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row위생용품제조업
2nd row위생용품제조업
3rd row위생용품제조업
4th row위생용품제조업
5th row위생용품제조업

Common Values

ValueCountFrequency (%)
위생용품제조업 25
96.2%
위생물수건처리업 1
 
3.8%

Length

2023-12-13T00:39:16.717810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:16.841457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생용품제조업 25
96.2%
위생물수건처리업 1
 
3.8%

업소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T00:39:17.059467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8.5
Mean length6.6538462
Min length2

Characters and Unicode

Total characters173
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row(주)크린피아
2nd row주식회사 진케미칼
3rd row(주)굿모닝케미칼
4th row(주)창우
5th row양양산업
ValueCountFrequency (%)
주식회사 2
 
7.1%
주)크린피아 1
 
3.6%
본코리아주식회사 1
 
3.6%
트루지니 1
 
3.6%
주식회사클린힐시화공장 1
 
3.6%
주식회사신한이에프 1
 
3.6%
맥스포 1
 
3.6%
비누원 1
 
3.6%
노리터장애인보호작업장 1
 
3.6%
지에스케이 1
 
3.6%
Other values (17) 17
60.7%
2023-12-13T00:39:17.428011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
8.7%
( 8
 
4.6%
) 8
 
4.6%
회 6
 
3.5%
사 6
 
3.5%
식 6
 
3.5%
이 5
 
2.9%
화 4
 
2.3%
케 4
 
2.3%
아 4
 
2.3%
Other values (73) 107
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
89.6%
Open Punctuation 8
 
4.6%
Close Punctuation 8
 
4.6%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
9.7%
회 6
 
3.9%
사 6
 
3.9%
식 6
 
3.9%
이 5
 
3.2%
화 4
 
2.6%
케 4
 
2.6%
아 4
 
2.6%
스 4
 
2.6%
리 3
 
1.9%
Other values (70) 98
63.2%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
89.6%
Common 18
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
9.7%
회 6
 
3.9%
사 6
 
3.9%
식 6
 
3.9%
이 5
 
3.2%
화 4
 
2.6%
케 4
 
2.6%
아 4
 
2.6%
스 4
 
2.6%
리 3
 
1.9%
Other values (70) 98
63.2%
Common
ValueCountFrequency (%)
( 8
44.4%
) 8
44.4%
2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
89.6%
ASCII 18
 
10.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
9.7%
회 6
 
3.9%
사 6
 
3.9%
식 6
 
3.9%
이 5
 
3.2%
화 4
 
2.6%
케 4
 
2.6%
아 4
 
2.6%
스 4
 
2.6%
리 3
 
1.9%
Other values (70) 98
63.2%
ASCII
ValueCountFrequency (%)
( 8
44.4%
) 8
44.4%
2
 
11.1%

소재지(도로명)
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T00:39:17.707342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length34.5
Mean length31.653846
Min length22

Characters and Unicode

Total characters823
Distinct characters95
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 경제로 90 (정왕동,1마 403)
2nd row경기도 시흥시 공단2대로 27 (정왕동)
3rd row경기도 시흥시 공단1대로27번길 25 (정왕동,시화공단 1나 205호)
4th row경기도 시흥시 공단1대로28번길 57 (정왕동,1라 213)
5th row경기도 시흥시 시흥대로 908-11 (미산동)
ValueCountFrequency (%)
경기도 26
 
15.7%
시흥시 26
 
15.7%
정왕동 12
 
7.2%
1층 7
 
4.2%
경제로 3
 
1.8%
일부호 3
 
1.8%
25 3
 
1.8%
공단1대로28번길 2
 
1.2%
2층 2
 
1.2%
5층 2
 
1.2%
Other values (75) 80
48.2%
2023-12-13T00:39:18.111927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
17.0%
시 55
 
6.7%
1 41
 
5.0%
동 33
 
4.0%
경 29
 
3.5%
기 28
 
3.4%
) 28
 
3.4%
( 28
 
3.4%
2 28
 
3.4%
흥 27
 
3.3%
Other values (85) 386
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
53.5%
Decimal Number 159
 
19.3%
Space Separator 140
 
17.0%
Close Punctuation 28
 
3.4%
Open Punctuation 28
 
3.4%
Other Punctuation 21
 
2.6%
Dash Punctuation 5
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 55
 
12.5%
동 33
 
7.5%
경 29
 
6.6%
기 28
 
6.4%
흥 27
 
6.1%
도 27
 
6.1%
로 25
 
5.7%
길 15
 
3.4%
정 15
 
3.4%
왕 15
 
3.4%
Other values (68) 171
38.9%
Decimal Number
ValueCountFrequency (%)
1 41
25.8%
2 28
17.6%
5 18
11.3%
0 17
10.7%
4 14
 
8.8%
3 13
 
8.2%
6 9
 
5.7%
7 8
 
5.0%
9 7
 
4.4%
8 4
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
53.5%
Common 381
46.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 55
 
12.5%
동 33
 
7.5%
경 29
 
6.6%
기 28
 
6.4%
흥 27
 
6.1%
도 27
 
6.1%
로 25
 
5.7%
길 15
 
3.4%
정 15
 
3.4%
왕 15
 
3.4%
Other values (68) 171
38.9%
Common
ValueCountFrequency (%)
140
36.7%
1 41
 
10.8%
) 28
 
7.3%
( 28
 
7.3%
2 28
 
7.3%
, 21
 
5.5%
5 18
 
4.7%
0 17
 
4.5%
4 14
 
3.7%
3 13
 
3.4%
Other values (5) 33
 
8.7%
Latin
ValueCountFrequency (%)
B 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
53.5%
ASCII 383
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
36.6%
1 41
 
10.7%
) 28
 
7.3%
( 28
 
7.3%
2 28
 
7.3%
, 21
 
5.5%
5 18
 
4.7%
0 17
 
4.4%
4 14
 
3.7%
3 13
 
3.4%
Other values (7) 35
 
9.1%
Hangul
ValueCountFrequency (%)
시 55
 
12.5%
동 33
 
7.5%
경 29
 
6.6%
기 28
 
6.4%
흥 27
 
6.1%
도 27
 
6.1%
로 25
 
5.7%
길 15
 
3.4%
정 15
 
3.4%
왕 15
 
3.4%
Other values (68) 171
38.9%

소재지(지번)
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T00:39:18.365286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length23.038462
Min length17

Characters and Unicode

Total characters599
Distinct characters74
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 정왕동 1357-2 1마 403
2nd row경기도 시흥시 정왕동 1695-12 1마 727
3rd row경기도 시흥시 정왕동 1234-4 시화공단 1나 205호
4th row경기도 시흥시 정왕동 1238-12 1라 213
5th row경기도 시흥시 미산동 288-3
ValueCountFrequency (%)
경기도 26
20.5%
시흥시 26
20.5%
정왕동 15
 
11.8%
1234-4 2
 
1.6%
1층 2
 
1.6%
미산동 2
 
1.6%
지식산업센터 2
 
1.6%
1마 2
 
1.6%
2층일부호 1
 
0.8%
1375-18 1
 
0.8%
Other values (48) 48
37.8%
2023-12-13T00:39:18.792325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
20.7%
시 54
 
9.0%
1 33
 
5.5%
2 28
 
4.7%
기 27
 
4.5%
동 27
 
4.5%
경 26
 
4.3%
도 26
 
4.3%
흥 26
 
4.3%
- 25
 
4.2%
Other values (64) 203
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
49.1%
Decimal Number 149
24.9%
Space Separator 124
20.7%
Dash Punctuation 25
 
4.2%
Uppercase Letter 3
 
0.5%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 54
18.4%
기 27
 
9.2%
동 27
 
9.2%
경 26
 
8.8%
도 26
 
8.8%
흥 26
 
8.8%
왕 15
 
5.1%
정 15
 
5.1%
산 5
 
1.7%
호 4
 
1.4%
Other values (47) 69
23.5%
Decimal Number
ValueCountFrequency (%)
1 33
22.1%
2 28
18.8%
3 21
14.1%
4 12
 
8.1%
0 12
 
8.1%
6 11
 
7.4%
7 10
 
6.7%
8 10
 
6.7%
5 7
 
4.7%
9 5
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
S 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
50.4%
Hangul 294
49.1%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 54
18.4%
기 27
 
9.2%
동 27
 
9.2%
경 26
 
8.8%
도 26
 
8.8%
흥 26
 
8.8%
왕 15
 
5.1%
정 15
 
5.1%
산 5
 
1.7%
호 4
 
1.4%
Other values (47) 69
23.5%
Common
ValueCountFrequency (%)
124
41.1%
1 33
 
10.9%
2 28
 
9.3%
- 25
 
8.3%
3 21
 
7.0%
4 12
 
4.0%
0 12
 
4.0%
6 11
 
3.6%
7 10
 
3.3%
8 10
 
3.3%
Other values (4) 16
 
5.3%
Latin
ValueCountFrequency (%)
M 1
33.3%
S 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 305
50.9%
Hangul 294
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
40.7%
1 33
 
10.8%
2 28
 
9.2%
- 25
 
8.2%
3 21
 
6.9%
4 12
 
3.9%
0 12
 
3.9%
6 11
 
3.6%
7 10
 
3.3%
8 10
 
3.3%
Other values (7) 19
 
6.2%
Hangul
ValueCountFrequency (%)
시 54
18.4%
기 27
 
9.2%
동 27
 
9.2%
경 26
 
8.8%
도 26
 
8.8%
흥 26
 
8.8%
왕 15
 
5.1%
정 15
 
5.1%
산 5
 
1.7%
호 4
 
1.4%
Other values (47) 69
23.5%

소재지전화
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2023-12-13T00:39:18.992808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters350
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row 031- 499-2281
2nd row 031- 498-8090
3rd row 031- 433-8746
4th row 031- 497-6200
5th row031 -315 -7200
ValueCountFrequency (%)
031 22
32.4%
02 3
 
4.4%
432 2
 
2.9%
315 2
 
2.9%
493 2
 
2.9%
0402 1
 
1.5%
893-4188 1
 
1.5%
1583 1
 
1.5%
314 1
 
1.5%
0771 1
 
1.5%
Other values (32) 32
47.1%
2023-12-13T00:39:19.380379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
14.9%
3 51
14.6%
- 50
14.3%
0 42
12.0%
1 37
10.6%
4 31
8.9%
8 21
6.0%
2 19
 
5.4%
9 14
 
4.0%
6 12
 
3.4%
Other values (2) 21
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 248
70.9%
Space Separator 52
 
14.9%
Dash Punctuation 50
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 51
20.6%
0 42
16.9%
1 37
14.9%
4 31
12.5%
8 21
8.5%
2 19
 
7.7%
9 14
 
5.6%
6 12
 
4.8%
7 11
 
4.4%
5 10
 
4.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
52
14.9%
3 51
14.6%
- 50
14.3%
0 42
12.0%
1 37
10.6%
4 31
8.9%
8 21
6.0%
2 19
 
5.4%
9 14
 
4.0%
6 12
 
3.4%
Other values (2) 21
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
14.9%
3 51
14.6%
- 50
14.3%
0 42
12.0%
1 37
10.6%
4 31
8.9%
8 21
6.0%
2 19
 
5.4%
9 14
 
4.0%
6 12
 
3.4%
Other values (2) 21
6.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-05-24
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-24
2nd row2023-05-24
3rd row2023-05-24
4th row2023-05-24
5th row2023-05-24

Common Values

ValueCountFrequency (%)
2023-05-24 26
100.0%

Length

2023-12-13T00:39:19.610477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:19.751588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-24 26
100.0%

담당자 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
031-310-2484
26 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-310-2484
2nd row031-310-2484
3rd row031-310-2484
4th row031-310-2484
5th row031-310-2484

Common Values

ValueCountFrequency (%)
031-310-2484 26
100.0%

Length

2023-12-13T00:39:19.900933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:39:20.052965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-310-2484 26
100.0%

Correlations

2023-12-13T00:39:20.156127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업소명소재지(도로명)소재지(지번)소재지전화
업종명1.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2023-12-13T00:39:16.414409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:39:16.564686image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일담당자 연락처
0위생용품제조업(주)크린피아경기도 시흥시 경제로 90 (정왕동,1마 403)경기도 시흥시 정왕동 1357-2 1마 403031- 499-22812023-05-24031-310-2484
1위생용품제조업주식회사 진케미칼경기도 시흥시 공단2대로 27 (정왕동)경기도 시흥시 정왕동 1695-12 1마 727031- 498-80902023-05-24031-310-2484
2위생용품제조업(주)굿모닝케미칼경기도 시흥시 공단1대로27번길 25 (정왕동,시화공단 1나 205호)경기도 시흥시 정왕동 1234-4 시화공단 1나 205호031- 433-87462023-05-24031-310-2484
3위생용품제조업(주)창우경기도 시흥시 공단1대로28번길 57 (정왕동,1라 213)경기도 시흥시 정왕동 1238-12 1라 213031- 497-62002023-05-24031-310-2484
4위생용품제조업양양산업경기도 시흥시 시흥대로 908-11 (미산동)경기도 시흥시 미산동 288-3031 -315 -72002023-05-24031-310-2484
5위생용품제조업(주)케이피코리아경기도 시흥시 서해안로 196 (정왕동)경기도 시흥시 정왕동 1235-9031 -493 -44832023-05-24031-310-2484
6위생용품제조업(주)스마트퀸경기도 시흥시 공단1대로27번길 25 (정왕동)경기도 시흥시 정왕동 1234-4031 -431 -63622023-05-24031-310-2484
7위생용품제조업수희경기도 시흥시 수인로2431번길 53, 1층 (논곡동)경기도 시흥시 논곡동 230-3 1층031 -403 -37382023-05-24031-310-2484
8위생용품제조업진흥정밀화학경기도 시흥시 옥구천서로185번길 41, 601-1호 (정왕동)경기도 시흥시 정왕동 1246-1 601-1호031 -498 -43352023-05-24031-310-2484
9위생용품제조업(주)다산씨에스경기도 시흥시 군자천로119번길 12 (정왕동)경기도 시흥시 정왕동 1363-10031 -434 -75592023-05-24031-310-2484
업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일담당자 연락처
16위생용품제조업하나더하기경기도 시흥시 신촌2길 14-1, 2층 (포동)경기도 시흥시 포동 282-9031 -314 -07712023-05-24031-310-2484
17위생용품제조업동신화학경기도 시흥시 금오로309번길 21 (과림동)경기도 시흥시 과림동 670-6<NA>2023-05-24031-310-2484
18위생용품제조업주식회사 지에스케이경기도 시흥시 마유로132번길 51 (주)필셋 (정왕동)경기도 시흥시 정왕동 1272-8 (주)필셋031 -432 -73702023-05-24031-310-2484
19위생용품제조업노리터장애인보호작업장경기도 시흥시 수인로3077번길 62-1, 1층 (안현동)경기도 시흥시 안현동 246-3031 -313 -04022023-05-24031-310-2484
20위생용품제조업비누원경기도 시흥시 포도원로116번길 25, 프라임지식산업센타 5층 504호 (신천동)경기도 시흥시 신천동 864-4 프라임지식산업센타031 -315 -54162023-05-24031-310-2484
21위생용품제조업맥스포경기도 시흥시 경제로 249, 우수기공 B동 1층 일부호 (정왕동)경기도 시흥시 정왕동 1370-11 우수기공031 -493 -38102023-05-24031-310-2484
22위생용품제조업주식회사신한이에프경기도 시흥시 은계중앙로306번길 24, 신한이에프 지식산업센터 502,505(일부)호 (대야동)경기도 시흥시 대야동 665-4 신한이에프 지식산업센터02 -866 -36982023-05-24031-310-2484
23위생용품제조업주식회사클린힐시화공장경기도 시흥시 공단1대로28번길 53, 1,2층 (정왕동)경기도 시흥시 정왕동 1238031 -362 -69202023-05-24031-310-2484
24위생용품제조업트루지니경기도 시흥시 은계중앙로 256, 리버시티 502호 (은행동)경기도 시흥시 은행동 608 리버시티031 -8042-21542023-05-24031-310-2484
25위생물수건처리업국제위생물수건경기도 시흥시 옥터로 69 (정왕동, 1층)경기도 시흥시 정왕동 2200-9 1층031 -409 -98112023-05-24031-310-2484