Overview

Dataset statistics

Number of variables8
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory66.4 B

Variable types

Text4
Categorical3
DateTime1

Dataset

Description충청남도 논산시 소재 산업단지 입주기업 현황에 대한 데이터로 업체명, 산업단지명, 행정구역, 주요업종, 전화번호 등의 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=387&beforeMenuCd=DOM_000000201001001000&publicdatapk=15029779

Alerts

산업단지명 is highly overall correlated with 행정구역High correlation
행정구역 is highly overall correlated with 산업단지명High correlation
주요업종 is highly imbalanced (56.0%)Imbalance

Reproduction

Analysis started2024-01-09 22:27:08.698791
Analysis finished2024-01-09 22:27:09.315793
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-01-10T07:27:09.449529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.125
Min length3

Characters and Unicode

Total characters455
Distinct characters139
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row(주)오에스피
2nd row우양강재(주)
3rd row인오켐 주식회사
4th row석성프라스틱
5th row성연식품(주)
ValueCountFrequency (%)
주식회사 9
 
12.7%
주)제닉 2
 
2.8%
농업회사법인 2
 
2.8%
다이나맥 1
 
1.4%
주)모나리자 1
 
1.4%
동화일렉트로라이트 1
 
1.4%
주)디에이치 1
 
1.4%
주)에스앤비푸드 1
 
1.4%
미광산업(주 1
 
1.4%
주)엠피씨 1
 
1.4%
Other values (51) 51
71.8%
2024-01-10T07:27:09.741987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
8.8%
( 29
 
6.4%
) 29
 
6.4%
16
 
3.5%
15
 
3.3%
14
 
3.1%
14
 
3.1%
13
 
2.9%
12
 
2.6%
8
 
1.8%
Other values (129) 265
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
81.5%
Open Punctuation 29
 
6.4%
Close Punctuation 29
 
6.4%
Space Separator 15
 
3.3%
Other Symbol 7
 
1.5%
Decimal Number 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
10.8%
16
 
4.3%
14
 
3.8%
14
 
3.8%
13
 
3.5%
12
 
3.2%
8
 
2.2%
7
 
1.9%
6
 
1.6%
6
 
1.6%
Other values (124) 235
63.3%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 378
83.1%
Common 77
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
10.6%
16
 
4.2%
14
 
3.7%
14
 
3.7%
13
 
3.4%
12
 
3.2%
8
 
2.1%
7
 
1.9%
7
 
1.9%
6
 
1.6%
Other values (125) 241
63.8%
Common
ValueCountFrequency (%)
( 29
37.7%
) 29
37.7%
15
19.5%
2 4
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
81.5%
ASCII 77
 
16.9%
None 7
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
 
10.8%
16
 
4.3%
14
 
3.8%
14
 
3.8%
13
 
3.5%
12
 
3.2%
8
 
2.2%
7
 
1.9%
6
 
1.6%
6
 
1.6%
Other values (124) 235
63.3%
ASCII
ValueCountFrequency (%)
( 29
37.7%
) 29
37.7%
15
19.5%
2 4
 
5.2%
None
ValueCountFrequency (%)
7
100.0%

산업단지명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
논산일반산업단지
27 
논산동산일반산업단지
19 
논산2일반산업단지
10 

Length

Max length10
Median length9
Mean length8.8571429
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
논산일반산업단지 27
48.2%
논산동산일반산업단지 19
33.9%
논산2일반산업단지 10
 
17.9%

Length

2024-01-10T07:27:09.854026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:27:09.940738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논산일반산업단지 27
48.2%
논산동산일반산업단지 19
33.9%
논산2일반산업단지 10
 
17.9%

행정구역
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
성동면
37 
연무읍
11 
은진면

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동면 37
66.1%
연무읍 11
 
19.6%
은진면 8
 
14.3%

Length

2024-01-10T07:27:10.023060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:27:10.097044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동면 37
66.1%
연무읍 11
 
19.6%
은진면 8
 
14.3%

주소
Text

Distinct51
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-01-10T07:27:10.266504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length23.589286
Min length20

Characters and Unicode

Total characters1321
Distinct characters40
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

Unique46 ?
Unique (%)82.1%

Sample

1st row충청남도 논산시 성동면 산업단지로2길 11
2nd row충청남도 논산시 성동면 산업단지로2길 11
3rd row충청남도 논산시 성동면 산업단지로2길 19
4th row충청남도 논산시 성동면 산업단지로2길 25
5th row충청남도 논산시 성동면 산업단지로2길 29
ValueCountFrequency (%)
충청남도 56
20.0%
논산시 56
20.0%
성동면 37
13.2%
산업단지로2길 11
 
3.9%
연무읍 11
 
3.9%
산업단지로5길 9
 
3.2%
산업단지로3길 9
 
3.2%
은진면 8
 
2.9%
동산산업단지로 7
 
2.5%
산업단지로4길 7
 
2.5%
Other values (52) 69
24.6%
2024-01-10T07:27:10.595669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
18.5%
109
 
8.3%
61
 
4.6%
57
 
4.3%
56
 
4.2%
56
 
4.2%
56
 
4.2%
56
 
4.2%
48
 
3.6%
45
 
3.4%
Other values (30) 532
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 865
65.5%
Space Separator 245
 
18.5%
Decimal Number 190
 
14.4%
Dash Punctuation 21
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
109
 
12.6%
61
 
7.1%
57
 
6.6%
56
 
6.5%
56
 
6.5%
56
 
6.5%
56
 
6.5%
48
 
5.5%
45
 
5.2%
45
 
5.2%
Other values (18) 276
31.9%
Decimal Number
ValueCountFrequency (%)
1 35
18.4%
3 29
15.3%
7 27
14.2%
4 25
13.2%
2 23
12.1%
5 18
9.5%
0 11
 
5.8%
6 10
 
5.3%
8 6
 
3.2%
9 6
 
3.2%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 865
65.5%
Common 456
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
109
 
12.6%
61
 
7.1%
57
 
6.6%
56
 
6.5%
56
 
6.5%
56
 
6.5%
56
 
6.5%
48
 
5.5%
45
 
5.2%
45
 
5.2%
Other values (18) 276
31.9%
Common
ValueCountFrequency (%)
245
53.7%
1 35
 
7.7%
3 29
 
6.4%
7 27
 
5.9%
4 25
 
5.5%
2 23
 
5.0%
- 21
 
4.6%
5 18
 
3.9%
0 11
 
2.4%
6 10
 
2.2%
Other values (2) 12
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 865
65.5%
ASCII 456
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
53.7%
1 35
 
7.7%
3 29
 
6.4%
7 27
 
5.9%
4 25
 
5.5%
2 23
 
5.0%
- 21
 
4.6%
5 18
 
3.9%
0 11
 
2.4%
6 10
 
2.2%
Other values (2) 12
 
2.6%
Hangul
ValueCountFrequency (%)
109
 
12.6%
61
 
7.1%
57
 
6.6%
56
 
6.5%
56
 
6.5%
56
 
6.5%
56
 
6.5%
48
 
5.5%
45
 
5.2%
45
 
5.2%
Other values (18) 276
31.9%

주요업종
Categorical

IMBALANCE 

Distinct10
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
제조업
43 
가공, 저장 처리업
 
4
임대업
 
2
제분업
 
1
직조업
 
1
Other values (5)

Length

Max length12
Median length3
Mean length3.7321429
Min length3

Unique

Unique7 ?
Unique (%)12.5%

Sample

1st row제조업
2nd row임대업
3rd row제조업
4th row제조업
5th row제조업

Common Values

ValueCountFrequency (%)
제조업 43
76.8%
가공, 저장 처리업 4
 
7.1%
임대업 2
 
3.6%
제분업 1
 
1.8%
직조업 1
 
1.8%
생산업 1
 
1.8%
인쇄업 1
 
1.8%
금속 열처리업 1
 
1.8%
절삭가공 및 유사처리업 1
 
1.8%
도금업 1
 
1.8%

Length

2024-01-10T07:27:10.693686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:27:10.780079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 43
64.2%
가공 4
 
6.0%
저장 4
 
6.0%
처리업 4
 
6.0%
임대업 2
 
3.0%
제분업 1
 
1.5%
직조업 1
 
1.5%
생산업 1
 
1.5%
인쇄업 1
 
1.5%
금속 1
 
1.5%
Other values (5) 5
 
7.5%

업종
Text

Distinct44
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-01-10T07:27:10.985447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length16.107143
Min length3

Characters and Unicode

Total characters902
Distinct characters123
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

Unique36 ?
Unique (%)64.3%

Sample

1st row종이 포대 및 가방 제조업 외 3 종
2nd row비주거용 건물 임대업
3rd row연마재 제조업
4th row포장용 플라스틱 성형용기 제조업 외 3 종
5th row기타 비알코올 음료 제조업 외 2 종
ValueCountFrequency (%)
제조업 40
 
13.7%
32
 
11.0%
26
 
8.9%
13
 
4.5%
1 9
 
3.1%
기타 9
 
3.1%
2 7
 
2.4%
위생용 6
 
2.1%
종이제품 6
 
2.1%
6
 
2.1%
Other values (89) 137
47.1%
2024-01-10T07:27:11.307931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
26.1%
58
 
6.4%
55
 
6.1%
47
 
5.2%
34
 
3.8%
34
 
3.8%
25
 
2.8%
23
 
2.5%
19
 
2.1%
13
 
1.4%
Other values (113) 359
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
70.8%
Space Separator 235
 
26.1%
Decimal Number 27
 
3.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
9.1%
55
 
8.6%
47
 
7.4%
34
 
5.3%
34
 
5.3%
25
 
3.9%
23
 
3.6%
19
 
3.0%
13
 
2.0%
13
 
2.0%
Other values (105) 318
49.8%
Decimal Number
ValueCountFrequency (%)
1 10
37.0%
2 7
25.9%
3 5
18.5%
4 3
 
11.1%
6 1
 
3.7%
5 1
 
3.7%
Space Separator
ValueCountFrequency (%)
235
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
70.8%
Common 263
29.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
9.1%
55
 
8.6%
47
 
7.4%
34
 
5.3%
34
 
5.3%
25
 
3.9%
23
 
3.6%
19
 
3.0%
13
 
2.0%
13
 
2.0%
Other values (105) 318
49.8%
Common
ValueCountFrequency (%)
235
89.4%
1 10
 
3.8%
2 7
 
2.7%
3 5
 
1.9%
4 3
 
1.1%
6 1
 
0.4%
, 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
70.7%
ASCII 263
29.2%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
89.4%
1 10
 
3.8%
2 7
 
2.7%
3 5
 
1.9%
4 3
 
1.1%
6 1
 
0.4%
, 1
 
0.4%
5 1
 
0.4%
Hangul
ValueCountFrequency (%)
58
 
9.1%
55
 
8.6%
47
 
7.4%
34
 
5.3%
34
 
5.3%
25
 
3.9%
23
 
3.6%
19
 
3.0%
13
 
2.0%
13
 
2.0%
Other values (104) 317
49.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct52
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-01-10T07:27:11.520263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters672
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

Unique48 ?
Unique (%)85.7%

Sample

1st row041-734-8445
2nd row041-741-6609
3rd row041-733-9424
4th row041-733-2080
5th row041-735-7723
ValueCountFrequency (%)
041-734-7232 2
 
3.6%
041-742-5900 2
 
3.6%
041-732-1803 2
 
3.6%
041-733-8269 2
 
3.6%
041-741-1984 1
 
1.8%
041-742-1144 1
 
1.8%
042-934-8498 1
 
1.8%
041-733-0141 1
 
1.8%
041-734-7380 1
 
1.8%
02-551-9100 1
 
1.8%
Other values (42) 42
75.0%
2024-01-10T07:27:11.818856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 112
16.7%
0 109
16.2%
4 94
14.0%
1 78
11.6%
7 72
10.7%
3 62
9.2%
2 53
7.9%
9 24
 
3.6%
5 24
 
3.6%
8 23
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
83.3%
Dash Punctuation 112
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
19.5%
4 94
16.8%
1 78
13.9%
7 72
12.9%
3 62
11.1%
2 53
9.5%
9 24
 
4.3%
5 24
 
4.3%
8 23
 
4.1%
6 21
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 112
16.7%
0 109
16.2%
4 94
14.0%
1 78
11.6%
7 72
10.7%
3 62
9.2%
2 53
7.9%
9 24
 
3.6%
5 24
 
3.6%
8 23
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 112
16.7%
0 109
16.2%
4 94
14.0%
1 78
11.6%
7 72
10.7%
3 62
9.2%
2 53
7.9%
9 24
 
3.6%
5 24
 
3.6%
8 23
 
3.4%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2003-11-05 00:00:00
Maximum2020-11-09 00:00:00
2024-01-10T07:27:11.934330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:27:12.049133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2024-01-10T07:27:12.123044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명산업단지명행정구역주소주요업종업종전화번호가동일
업체명1.0000.3821.0000.9891.0001.0001.0000.991
산업단지명0.3821.0000.9371.0000.0730.0000.9330.841
행정구역1.0000.9371.0001.0000.2110.2161.0001.000
주소0.9891.0001.0001.0000.8210.9840.8960.969
주요업종1.0000.0730.2110.8211.0001.0000.0000.000
업종1.0000.0000.2160.9841.0001.0000.9540.913
전화번호1.0000.9331.0000.8960.0000.9541.0000.983
가동일0.9910.8411.0000.9690.0000.9130.9831.000
2024-01-10T07:27:12.212141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주요업종행정구역산업단지명
주요업종1.0000.1060.000
행정구역0.1061.0000.694
산업단지명0.0000.6941.000
2024-01-10T07:27:12.539434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산업단지명행정구역주요업종
산업단지명1.0000.6940.000
행정구역0.6941.0000.106
주요업종0.0000.1061.000

Missing values

2024-01-10T07:27:09.183843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:27:09.276158image/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

업체명산업단지명행정구역주소주요업종업종전화번호가동일
0(주)오에스피논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 11제조업종이 포대 및 가방 제조업 외 3 종041-734-84452018-11-21
1우양강재(주)논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 11임대업비주거용 건물 임대업041-741-66092004-07-22
2인오켐 주식회사논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 19제조업연마재 제조업041-733-94242013-04-10
3석성프라스틱논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 25제조업포장용 플라스틱 성형용기 제조업 외 3 종041-733-20802005-05-03
4성연식품(주)논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 29제조업기타 비알코올 음료 제조업 외 2 종041-735-77232005-06-22
5(주)동강홀딩스 딤채식품논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 30제조업김치류 제조업 외 1 종041-980-52702015-07-21
6한스약품 주식회사논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 33제조업한의약품 제조업041-732-35062012-11-02
7주영식품논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 37제조업천연 및 혼합조제 조미료 제조업 외 3 종041-732-53012005-10-15
8㈜신우에프에스논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 41가공, 저장 처리업가금류 가공 및 저장 처리업 외 1 종041-734-66462020-05-12
9㈜세심기업 2공장논산일반산업단지성동면충청남도 논산시 성동면 산업단지로2길 44가공, 저장 처리업가금류 가공 및 저장 처리업041-663-72532016-02-02
업체명산업단지명행정구역주소주요업종업종전화번호가동일
46㈜부경금속열처리논산동산일반산업단지연무읍충청남도 논산시 연무읍 양지리 643-3금속 열처리업금속 열처리업041-742-59002016-08-29
47㈜티에프컴퍼니논산동산일반산업단지연무읍충청남도 논산시 연무읍 양지리 643절삭가공 및 유사처리업절삭가공 및 유사처리업041-742-59002018-02-09
48(주)부광테크논산동산일반산업단지은진면충청남도 논산시 은진면 동산산업단지로 101-6도금업도금업041-740-36002017-07-19
49(주)퓨어스피어논산동산일반산업단지은진면충청남도 논산시 은진면 동산산업단지로 123-7제조업그 외 기타 분류 안된 화학제품 제조업 외 1 종041-741-86422014-12-08
50삼영기계㈜ 논산2공장논산동산일반산업단지은진면충청남도 논산시 은진면 매죽헌로 560제조업내연기관 제조업041-742-61722005-02-15
51주식회사 중앙백신연구소논산동산일반산업단지은진면충청남도 논산시 은진면 시묘리 774-1제조업동물용 의약품 제조업042-870-05262016-07-20
52주식회사 성화페이퍼논산동산일반산업단지은진면충청남도 논산시 은진면 시묘리 774-2제조업위생용 종이제품 제조업041-741-19922017-05-30
53강토에프엔엘논산동산일반산업단지은진면충청남도 논산시 은진면 시묘리 774-2제조업위생용 종이제품 제조업041-741-19842019-11-06
54주식회사 한국노텍논산동산일반산업단지은진면충청남도 논산시 은진면 시묘리 777-1제조업부직포 및 펠트 제조업041-742-11442016-06-22
55나노텍논산동산일반산업단지은진면충청남도 논산시 은진면 시묘리 777-1제조업마스크041-742-81612020-02-28