Overview

Dataset statistics

Number of variables7
Number of observations56
Missing cells6
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory59.4 B

Variable types

Numeric1
Text5
Categorical1

Dataset

Description충청남도 계룡시의 제조업 공장 등록현황(회사명, 전화번호, 생산품, 주소, 업종 등)을 공공데이터로 제공합니다.
Author충청남도 계룡시
URLhttps://www.data.go.kr/data/15035054/fileData.do

Alerts

공장등록 is highly imbalanced (68.5%)Imbalance
연번 has 1 (1.8%) missing valuesMissing
기업체명 has 1 (1.8%) missing valuesMissing
대표자 has 1 (1.8%) missing valuesMissing
소 재 지 has 1 (1.8%) missing valuesMissing
주생산품 has 1 (1.8%) missing valuesMissing
전화번호 has 1 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:34:11.189854
Analysis finished2023-12-12 13:34:12.245965
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)100.0%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T22:34:12.327458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-12T22:34:12.470478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
80.4%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

기업체명
Text

MISSING 

Distinct55
Distinct (%)100.0%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-12T22:34:12.723465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.4181818
Min length4

Characters and Unicode

Total characters408
Distinct characters133
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

Unique55 ?
Unique (%)100.0%

Sample

1st row(주)굿스굿
2nd row(주)그레이스식품
3rd row(주)금아공조
4th row(주)내담에프앤비
5th row우리디자인
ValueCountFrequency (%)
농업회사법인 2
 
3.3%
주)굿스굿 1
 
1.7%
서로 1
 
1.7%
주)휴마스 1
 
1.7%
고향식품 1
 
1.7%
길산스틸(주 1
 
1.7%
신도안종합식품(주 1
 
1.7%
주)훼미리푸드 1
 
1.7%
리브가 1
 
1.7%
푸드 1
 
1.7%
Other values (49) 49
81.7%
2023-12-12T22:34:13.156634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 42
 
10.3%
( 39
 
9.6%
) 39
 
9.6%
이 17
 
4.2%
스 16
 
3.9%
식 8
 
2.0%
드 7
 
1.7%
에 7
 
1.7%
사 6
 
1.5%
5
 
1.2%
Other values (123) 222
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 325
79.7%
Open Punctuation 39
 
9.6%
Close Punctuation 39
 
9.6%
Space Separator 5
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
12.9%
이 17
 
5.2%
스 16
 
4.9%
식 8
 
2.5%
드 7
 
2.2%
에 7
 
2.2%
사 6
 
1.8%
로 5
 
1.5%
아 5
 
1.5%
신 5
 
1.5%
Other values (120) 207
63.7%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 325
79.7%
Common 83
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
12.9%
이 17
 
5.2%
스 16
 
4.9%
식 8
 
2.5%
드 7
 
2.2%
에 7
 
2.2%
사 6
 
1.8%
로 5
 
1.5%
아 5
 
1.5%
신 5
 
1.5%
Other values (120) 207
63.7%
Common
ValueCountFrequency (%)
( 39
47.0%
) 39
47.0%
5
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 325
79.7%
ASCII 83
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 42
 
12.9%
이 17
 
5.2%
스 16
 
4.9%
식 8
 
2.5%
드 7
 
2.2%
에 7
 
2.2%
사 6
 
1.8%
로 5
 
1.5%
아 5
 
1.5%
신 5
 
1.5%
Other values (120) 207
63.7%
ASCII
ValueCountFrequency (%)
( 39
47.0%
) 39
47.0%
5
 
6.0%

대표자
Text

MISSING 

Distinct53
Distinct (%)96.4%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-12T22:34:13.458798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1818182
Min length3

Characters and Unicode

Total characters175
Distinct characters77
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)92.7%

Sample

1st row박원규
2nd row이현택
3rd row박홍주
4th row이의종
5th row조정선
ValueCountFrequency (%)
조정선 2
 
3.5%
이원준 2
 
3.5%
정철재 2
 
3.5%
김겸석 1
 
1.8%
김홍래 1
 
1.8%
이도재 1
 
1.8%
윤원숙 1
 
1.8%
박원규 1
 
1.8%
신희수 1
 
1.8%
전영관 1
 
1.8%
Other values (44) 44
77.2%
2023-12-12T22:34:14.118855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 17
 
9.7%
수 8
 
4.6%
김 6
 
3.4%
정 6
 
3.4%
조 5
 
2.9%
영 5
 
2.9%
원 5
 
2.9%
재 5
 
2.9%
안 4
 
2.3%
형 4
 
2.3%
Other values (67) 110
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
97.7%
Space Separator 2
 
1.1%
Other Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 17
 
9.9%
수 8
 
4.7%
김 6
 
3.5%
정 6
 
3.5%
조 5
 
2.9%
영 5
 
2.9%
원 5
 
2.9%
재 5
 
2.9%
안 4
 
2.3%
형 4
 
2.3%
Other values (65) 106
62.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
97.7%
Common 4
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 17
 
9.9%
수 8
 
4.7%
김 6
 
3.5%
정 6
 
3.5%
조 5
 
2.9%
영 5
 
2.9%
원 5
 
2.9%
재 5
 
2.9%
안 4
 
2.3%
형 4
 
2.3%
Other values (65) 106
62.0%
Common
ValueCountFrequency (%)
2
50.0%
, 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
97.7%
ASCII 4
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 17
 
9.9%
수 8
 
4.7%
김 6
 
3.5%
정 6
 
3.5%
조 5
 
2.9%
영 5
 
2.9%
원 5
 
2.9%
재 5
 
2.9%
안 4
 
2.3%
형 4
 
2.3%
Other values (65) 106
62.0%
ASCII
ValueCountFrequency (%)
2
50.0%
, 2
50.0%

소 재 지
Text

MISSING 

Distinct50
Distinct (%)90.9%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-12T22:34:14.364025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length13.236364
Min length7

Characters and Unicode

Total characters728
Distinct characters54
Distinct categories7 ?
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 (%)83.6%

Sample

1st row두마면 제1산단로 38
2nd row금암로 137-4, 1층
3rd row두마면 제1산단로 25-16
4th row두마면 제1산단로 40-21
5th row금암로 28 (금암동)
ValueCountFrequency (%)
두마면 37
22.6%
제1산단로 19
 
11.6%
엄사면 11
 
6.7%
입암길 8
 
4.9%
입암리 5
 
3.0%
도곡로 5
 
3.0%
금암동 4
 
2.4%
금암로 3
 
1.8%
28 3
 
1.8%
125 3
 
1.8%
Other values (58) 66
40.2%
2023-12-12T22:34:14.789021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
15.4%
면 48
 
6.6%
1 47
 
6.5%
2 38
 
5.2%
두 37
 
5.1%
마 37
 
5.1%
로 36
 
4.9%
- 30
 
4.1%
암 21
 
2.9%
3 21
 
2.9%
Other values (44) 301
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
50.4%
Decimal Number 207
28.4%
Space Separator 112
 
15.4%
Dash Punctuation 30
 
4.1%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 48
13.1%
두 37
 
10.1%
마 37
 
10.1%
로 36
 
9.8%
암 21
 
5.7%
제 19
 
5.2%
산 19
 
5.2%
단 19
 
5.2%
입 13
 
3.5%
길 13
 
3.5%
Other values (29) 105
28.6%
Decimal Number
ValueCountFrequency (%)
1 47
22.7%
2 38
18.4%
3 21
10.1%
5 20
9.7%
6 18
 
8.7%
4 18
 
8.7%
7 16
 
7.7%
8 12
 
5.8%
0 10
 
4.8%
9 7
 
3.4%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
50.4%
Common 361
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 48
13.1%
두 37
 
10.1%
마 37
 
10.1%
로 36
 
9.8%
암 21
 
5.7%
제 19
 
5.2%
산 19
 
5.2%
단 19
 
5.2%
입 13
 
3.5%
길 13
 
3.5%
Other values (29) 105
28.6%
Common
ValueCountFrequency (%)
112
31.0%
1 47
13.0%
2 38
 
10.5%
- 30
 
8.3%
3 21
 
5.8%
5 20
 
5.5%
6 18
 
5.0%
4 18
 
5.0%
7 16
 
4.4%
8 12
 
3.3%
Other values (5) 29
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
50.4%
ASCII 361
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
31.0%
1 47
13.0%
2 38
 
10.5%
- 30
 
8.3%
3 21
 
5.8%
5 20
 
5.5%
6 18
 
5.0%
4 18
 
5.0%
7 16
 
4.4%
8 12
 
3.3%
Other values (5) 29
 
8.0%
Hangul
ValueCountFrequency (%)
면 48
13.1%
두 37
 
10.1%
마 37
 
10.1%
로 36
 
9.8%
암 21
 
5.7%
제 19
 
5.2%
산 19
 
5.2%
단 19
 
5.2%
입 13
 
3.5%
길 13
 
3.5%
Other values (29) 105
28.6%

주생산품
Text

MISSING 

Distinct54
Distinct (%)98.2%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-12T22:34:15.120989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length7.1090909
Min length2

Characters and Unicode

Total characters391
Distinct characters156
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

Unique53 ?
Unique (%)96.4%

Sample

1st row제습보관함
2nd row그레이스 혼합장
3rd row공기조화장치
4th row아기이유식,과자,두유
5th row인쇄편집물, 광고물
ValueCountFrequency (%)
김치 2
 
2.4%
보쌈 2
 
2.4%
족발 2
 
2.4%
공기조화장치 2
 
2.4%
물엿 2
 
2.4%
방송장비 2
 
2.4%
두부 2
 
2.4%
전분 1
 
1.2%
쌀조청 1
 
1.2%
강판 1
 
1.2%
Other values (66) 66
79.5%
2023-12-12T22:34:15.585391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
7.7%
, 23
 
5.9%
장 13
 
3.3%
제 11
 
2.8%
치 9
 
2.3%
자 9
 
2.3%
기 9
 
2.3%
조 9
 
2.3%
전 7
 
1.8%
스 7
 
1.8%
Other values (146) 264
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
84.4%
Space Separator 30
 
7.7%
Other Punctuation 23
 
5.9%
Uppercase Letter 4
 
1.0%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 13
 
3.9%
제 11
 
3.3%
치 9
 
2.7%
자 9
 
2.7%
기 9
 
2.7%
조 9
 
2.7%
전 7
 
2.1%
스 7
 
2.1%
비 6
 
1.8%
공 6
 
1.8%
Other values (139) 244
73.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
84.4%
Common 57
 
14.6%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 13
 
3.9%
제 11
 
3.3%
치 9
 
2.7%
자 9
 
2.7%
기 9
 
2.7%
조 9
 
2.7%
전 7
 
2.1%
스 7
 
2.1%
비 6
 
1.8%
공 6
 
1.8%
Other values (139) 244
73.9%
Common
ValueCountFrequency (%)
30
52.6%
, 23
40.4%
) 2
 
3.5%
( 2
 
3.5%
Latin
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
84.4%
ASCII 61
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
49.2%
, 23
37.7%
) 2
 
3.3%
C 2
 
3.3%
( 2
 
3.3%
V 1
 
1.6%
T 1
 
1.6%
Hangul
ValueCountFrequency (%)
장 13
 
3.9%
제 11
 
3.3%
치 9
 
2.7%
자 9
 
2.7%
기 9
 
2.7%
조 9
 
2.7%
전 7
 
2.1%
스 7
 
2.1%
비 6
 
1.8%
공 6
 
1.8%
Other values (139) 244
73.9%

전화번호
Text

MISSING 

Distinct48
Distinct (%)87.3%
Missing1
Missing (%)1.8%
Memory size580.0 B
2023-12-12T22:34:15.870274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.436364
Min length12

Characters and Unicode

Total characters684
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

Unique42 ?
Unique (%)76.4%

Sample

1st row042-551-0155
2nd row042-841-1361
3rd row042-534-0880
4th row042-841-8999
5th row042-841-7474
ValueCountFrequency (%)
070-8630-5900 3
 
5.4%
042-631-8801 2
 
3.6%
042-841-8844 2
 
3.6%
042-841-2357 2
 
3.6%
042-841-1361 2
 
3.6%
042-841-7977 2
 
3.6%
042-551-0155 1
 
1.8%
042-841-3169 1
 
1.8%
042-841-0103 1
 
1.8%
070-4034-6600 1
 
1.8%
Other values (39) 39
69.6%
2023-12-12T22:34:16.271791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 112
16.4%
0 111
16.2%
4 89
13.0%
2 69
10.1%
1 62
9.1%
8 57
8.3%
5 44
 
6.4%
6 42
 
6.1%
3 38
 
5.6%
7 37
 
5.4%
Other values (2) 23
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 571
83.5%
Dash Punctuation 112
 
16.4%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
19.4%
4 89
15.6%
2 69
12.1%
1 62
10.9%
8 57
10.0%
5 44
 
7.7%
6 42
 
7.4%
3 38
 
6.7%
7 37
 
6.5%
9 22
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 112
16.4%
0 111
16.2%
4 89
13.0%
2 69
10.1%
1 62
9.1%
8 57
8.3%
5 44
 
6.4%
6 42
 
6.1%
3 38
 
5.6%
7 37
 
5.4%
Other values (2) 23
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 112
16.4%
0 111
16.2%
4 89
13.0%
2 69
10.1%
1 62
9.1%
8 57
8.3%
5 44
 
6.4%
6 42
 
6.1%
3 38
 
5.6%
7 37
 
5.4%
Other values (2) 23
 
3.4%

공장등록
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
O
51 
X
 
4
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0535714
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st rowO
2nd rowO
3rd rowO
4th rowO
5th rowX

Common Values

ValueCountFrequency (%)
O 51
91.1%
X 4
 
7.1%
<NA> 1
 
1.8%

Length

2023-12-12T22:34:16.450294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:34:16.571213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 51
91.1%
x 4
 
7.1%
na 1
 
1.8%

Interactions

2023-12-12T22:34:11.765472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:34:16.640871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업체명대표자소 재 지주생산품전화번호공장등록
연번1.0001.0000.9690.9711.0000.7500.237
기업체명1.0001.0001.0001.0001.0001.0001.000
대표자0.9691.0001.0000.9951.0000.9950.000
소 재 지0.9711.0000.9951.0001.0000.9710.000
주생산품1.0001.0001.0001.0001.0001.0001.000
전화번호0.7501.0000.9950.9711.0001.0001.000
공장등록0.2371.0000.0000.0001.0001.0001.000
2023-12-12T22:34:16.749983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공장등록
연번1.0000.158
공장등록0.1581.000

Missing values

2023-12-12T22:34:11.884942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:34:12.038148image/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.
2023-12-12T22:34:12.160325image/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

연번기업체명대표자소 재 지주생산품전화번호공장등록
01(주)굿스굿박원규두마면 제1산단로 38제습보관함042-551-0155O
12(주)그레이스식품이현택금암로 137-4, 1층그레이스 혼합장042-841-1361O
23(주)금아공조박홍주두마면 제1산단로 25-16공기조화장치042-534-0880O
34(주)내담에프앤비이의종두마면 제1산단로 40-21아기이유식,과자,두유042-841-8999O
45우리디자인조정선금암로 28 (금암동)인쇄편집물, 광고물042-841-7474X
56(주)마메든도어장금숙두마면 제1산단로 40-7방화문042-551-2020O
67(주)마이크로닉강범규, 이제원계룡대로 245 (금암동)방송장비042-840-9953O
78(주)메덱스더블유이민재두마면 입암리 79-1번지플라스틱 용기010-7929-0411O
89(주)비타바이오유기종두마면 제1산단로 40-33보조사료042-840-6668O
910(주)세진구진모엄사면 도곡로 128-25무대장치, 자동제어반042-841-6668O
연번기업체명대표자소 재 지주생산품전화번호공장등록
4647영순아그로유성렬두마면 왕대리 165번지복합비료제조042-634-0824O
4748오케이퓨처(주)최태범두마면 제1산단로 25-57건설장비부품070-8630-5900O
4849우리겨레협동조합이해영엄사면 사랑재길20옻칠생활용품042-551-3357O
4950유로농자재박노수엄사면 광석향한길 80농자재(물꼬조절기)042-841-5868O
5051주안레미콘주식회사오경수엄사면 계백로 2906-27레미콘042-841-1361O
5152케이웰텍김겸석두마면 입암길 68수전해 평가장치042-672-1263O
5253팔천식품황규주두마면 입암길 78육가공, 순대042-631-8801O
5354레드락주식회사이재호서금암로 53홍콩밀크티042-551-4686X
5455명성테크윤원숙두마면 제1산단로 26-31금속가공032-773-3761X
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