Overview

Dataset statistics

Number of variables7
Number of observations220
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description경상남도 관할 대기배출사업장 현황에 대한 데이터로 업체명, 주소지, 업종, 종수, 전화번호 등의 항목을 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083438

Alerts

대표자 is highly imbalanced (79.8%)Imbalance
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:11:31.737306
Analysis finished2023-12-11 00:11:32.560145
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct220
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.5
Minimum1
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T09:11:32.648527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.95
Q155.75
median110.5
Q3165.25
95-th percentile209.05
Maximum220
Range219
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation63.652704
Coefficient of variation (CV)0.57604257
Kurtosis-1.2
Mean110.5
Median Absolute Deviation (MAD)55
Skewness0
Sum24310
Variance4051.6667
MonotonicityStrictly increasing
2023-12-11T09:11:32.826136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
153 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
147 1
 
0.5%
148 1
 
0.5%
149 1
 
0.5%
Other values (210) 210
95.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
220 1
0.5%
219 1
0.5%
218 1
0.5%
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%

업체명
Text

UNIQUE 

Distinct220
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:11:33.088560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.4636364
Min length2

Characters and Unicode

Total characters1862
Distinct characters265
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)100.0%

Sample

1st row대우조선해양(주)
2nd row삼성중공업(주)거제조선소
3rd rowKC환경서비스㈜창원사업부
4th row(주)동남
5th row남강제지(주)
ValueCountFrequency (%)
주식회사 8
 
3.3%
주)흥아 2
 
0.8%
창원공장 2
 
0.8%
고려제강㈜군북공장 1
 
0.4%
조양기업 1
 
0.4%
주)신텍 1
 
0.4%
㈜성광 1
 
0.4%
함안제2공장 1
 
0.4%
주영산업㈜유산공장 1
 
0.4%
한화지상방산(주 1
 
0.4%
Other values (226) 226
92.2%
2023-12-11T09:11:33.562497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 136
 
7.3%
( 117
 
6.3%
) 117
 
6.3%
㈜ 84
 
4.5%
공 74
 
4.0%
장 50
 
2.7%
업 42
 
2.3%
아 34
 
1.8%
산 33
 
1.8%
원 33
 
1.8%
Other values (255) 1142
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1457
78.2%
Open Punctuation 123
 
6.6%
Close Punctuation 123
 
6.6%
Other Symbol 84
 
4.5%
Uppercase Letter 34
 
1.8%
Space Separator 25
 
1.3%
Decimal Number 14
 
0.8%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 136
 
9.3%
공 74
 
5.1%
장 50
 
3.4%
업 42
 
2.9%
아 34
 
2.3%
산 33
 
2.3%
원 33
 
2.3%
스 33
 
2.3%
창 29
 
2.0%
이 28
 
1.9%
Other values (231) 965
66.2%
Uppercase Letter
ValueCountFrequency (%)
S 7
20.6%
G 5
14.7%
H 5
14.7%
B 3
8.8%
T 3
8.8%
C 2
 
5.9%
D 2
 
5.9%
X 2
 
5.9%
I 1
 
2.9%
M 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
1 5
35.7%
3 3
21.4%
5 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 117
95.1%
[ 6
 
4.9%
Close Punctuation
ValueCountFrequency (%)
) 117
95.1%
] 6
 
4.9%
Other Symbol
ValueCountFrequency (%)
㈜ 84
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1541
82.8%
Common 287
 
15.4%
Latin 34
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 136
 
8.8%
㈜ 84
 
5.5%
공 74
 
4.8%
장 50
 
3.2%
업 42
 
2.7%
아 34
 
2.2%
산 33
 
2.1%
원 33
 
2.1%
스 33
 
2.1%
창 29
 
1.9%
Other values (232) 993
64.4%
Latin
ValueCountFrequency (%)
S 7
20.6%
G 5
14.7%
H 5
14.7%
B 3
8.8%
T 3
8.8%
C 2
 
5.9%
D 2
 
5.9%
X 2
 
5.9%
I 1
 
2.9%
M 1
 
2.9%
Other values (3) 3
8.8%
Common
ValueCountFrequency (%)
( 117
40.8%
) 117
40.8%
25
 
8.7%
] 6
 
2.1%
[ 6
 
2.1%
2 5
 
1.7%
1 5
 
1.7%
3 3
 
1.0%
& 2
 
0.7%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1457
78.2%
ASCII 321
 
17.2%
None 84
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 136
 
9.3%
공 74
 
5.1%
장 50
 
3.4%
업 42
 
2.9%
아 34
 
2.3%
산 33
 
2.3%
원 33
 
2.3%
스 33
 
2.3%
창 29
 
2.0%
이 28
 
1.9%
Other values (231) 965
66.2%
ASCII
ValueCountFrequency (%)
( 117
36.4%
) 117
36.4%
25
 
7.8%
S 7
 
2.2%
] 6
 
1.9%
[ 6
 
1.9%
2 5
 
1.6%
G 5
 
1.6%
1 5
 
1.6%
H 5
 
1.6%
Other values (13) 23
 
7.2%
None
ValueCountFrequency (%)
㈜ 84
100.0%

대표자
Categorical

IMBALANCE 

Distinct23
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
대표이사
198 
하준식
 
1
정영식
 
1
정상문
 
1
고호곤
 
1
Other values (18)
 
18

Length

Max length7
Median length4
Mean length3.9318182
Min length3

Unique

Unique22 ?
Unique (%)10.0%

Sample

1st row대표이사
2nd row대표이사
3rd row대표이사
4th row대표이사
5th row하준식

Common Values

ValueCountFrequency (%)
대표이사 198
90.0%
하준식 1
 
0.5%
정영식 1
 
0.5%
정상문 1
 
0.5%
고호곤 1
 
0.5%
원용계 1
 
0.5%
박노균 1
 
0.5%
김평기 1
 
0.5%
이종영 1
 
0.5%
정병환 1
 
0.5%
Other values (13) 13
 
5.9%

Length

2023-12-11T09:11:33.745112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대표이사 198
90.0%
박철용 1
 
0.5%
허진수 1
 
0.5%
이수우 1
 
0.5%
김병래 1
 
0.5%
조영도 1
 
0.5%
양재하 1
 
0.5%
마이클호블랜드 1
 
0.5%
박수현 1
 
0.5%
정동택 1
 
0.5%
Other values (13) 13
 
5.9%

업종
Text

Distinct109
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:11:34.002885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19.5
Mean length8.0454545
Min length2

Characters and Unicode

Total characters1770
Distinct characters146
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)37.3%

Sample

1st row조립금속제품
2nd row조립금속제품
3rd row폐기물처리업
4th row비금속광물
5th row제지
ValueCountFrequency (%)
조립금속제품 40
 
13.4%
및 19
 
6.4%
제조업 13
 
4.3%
선박구성부분품제조 9
 
3.0%
고무및플라스틱 7
 
2.3%
음식료품 7
 
2.3%
폐기물처리업 6
 
2.0%
금속제품제조 6
 
2.0%
제1차철강산업시설 6
 
2.0%
제지 5
 
1.7%
Other values (129) 181
60.5%
2023-12-11T09:11:34.384596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 200
 
11.3%
조 171
 
9.7%
품 109
 
6.2%
금 98
 
5.5%
업 96
 
5.4%
속 86
 
4.9%
79
 
4.5%
립 50
 
2.8%
기 46
 
2.6%
및 38
 
2.1%
Other values (136) 797
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1663
94.0%
Space Separator 79
 
4.5%
Decimal Number 17
 
1.0%
Other Punctuation 9
 
0.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 200
 
12.0%
조 171
 
10.3%
품 109
 
6.6%
금 98
 
5.9%
업 96
 
5.8%
속 86
 
5.2%
립 50
 
3.0%
기 46
 
2.8%
및 38
 
2.3%
물 27
 
1.6%
Other values (127) 742
44.6%
Decimal Number
ValueCountFrequency (%)
1 12
70.6%
2 3
 
17.6%
4 1
 
5.9%
9 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1663
94.0%
Common 107
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 200
 
12.0%
조 171
 
10.3%
품 109
 
6.6%
금 98
 
5.9%
업 96
 
5.8%
속 86
 
5.2%
립 50
 
3.0%
기 46
 
2.8%
및 38
 
2.3%
물 27
 
1.6%
Other values (127) 742
44.6%
Common
ValueCountFrequency (%)
79
73.8%
1 12
 
11.2%
, 8
 
7.5%
2 3
 
2.8%
( 1
 
0.9%
. 1
 
0.9%
4 1
 
0.9%
9 1
 
0.9%
) 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1663
94.0%
ASCII 107
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 200
 
12.0%
조 171
 
10.3%
품 109
 
6.6%
금 98
 
5.9%
업 96
 
5.8%
속 86
 
5.2%
립 50
 
3.0%
기 46
 
2.8%
및 38
 
2.3%
물 27
 
1.6%
Other values (127) 742
44.6%
ASCII
ValueCountFrequency (%)
79
73.8%
1 12
 
11.2%
, 8
 
7.5%
2 3
 
2.8%
( 1
 
0.9%
. 1
 
0.9%
4 1
 
0.9%
9 1
 
0.9%
) 1
 
0.9%

주소
Text

Distinct218
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:11:34.675585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length18.609091
Min length7

Characters and Unicode

Total characters4094
Distinct characters140
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)98.2%

Sample

1st row거제시 거제대로 3370(아주동)
2nd row거제시 장평3로 80(장평동)
3rd row창원시 마산회원구 자유무역6길 103(봉암동)
4th row창원시 마산회원구 자유무역6길 157(봉암동)
5th row진주시 남강로1367번길 36(상대동)
ValueCountFrequency (%)
창원시 93
 
11.1%
성산구 68
 
8.1%
함안군 34
 
4.0%
양산시 33
 
3.9%
공단로 25
 
3.0%
칠서면 21
 
2.5%
의창구 18
 
2.1%
사천시 16
 
1.9%
진주시 15
 
1.8%
사남면 15
 
1.8%
Other values (340) 503
59.8%
2023-12-11T09:11:35.131080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
621
 
15.2%
산 186
 
4.5%
시 171
 
4.2%
로 159
 
3.9%
1 156
 
3.8%
동 131
 
3.2%
창 129
 
3.2%
( 120
 
2.9%
) 120
 
2.9%
원 113
 
2.8%
Other values (130) 2188
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2469
60.3%
Decimal Number 735
 
18.0%
Space Separator 621
 
15.2%
Open Punctuation 120
 
2.9%
Close Punctuation 120
 
2.9%
Dash Punctuation 28
 
0.7%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 186
 
7.5%
시 171
 
6.9%
로 159
 
6.4%
동 131
 
5.3%
창 129
 
5.2%
원 113
 
4.6%
단 102
 
4.1%
성 97
 
3.9%
구 96
 
3.9%
길 86
 
3.5%
Other values (115) 1199
48.6%
Decimal Number
ValueCountFrequency (%)
1 156
21.2%
3 87
11.8%
2 84
11.4%
4 68
9.3%
5 67
9.1%
0 62
 
8.4%
8 59
 
8.0%
7 58
 
7.9%
6 55
 
7.5%
9 39
 
5.3%
Space Separator
ValueCountFrequency (%)
621
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2470
60.3%
Common 1624
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 186
 
7.5%
시 171
 
6.9%
로 159
 
6.4%
동 131
 
5.3%
창 129
 
5.2%
원 113
 
4.6%
단 102
 
4.1%
성 97
 
3.9%
구 96
 
3.9%
길 86
 
3.5%
Other values (116) 1200
48.6%
Common
ValueCountFrequency (%)
621
38.2%
1 156
 
9.6%
( 120
 
7.4%
) 120
 
7.4%
3 87
 
5.4%
2 84
 
5.2%
4 68
 
4.2%
5 67
 
4.1%
0 62
 
3.8%
8 59
 
3.6%
Other values (4) 180
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2469
60.3%
ASCII 1624
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
621
38.2%
1 156
 
9.6%
( 120
 
7.4%
) 120
 
7.4%
3 87
 
5.4%
2 84
 
5.2%
4 68
 
4.2%
5 67
 
4.1%
0 62
 
3.8%
8 59
 
3.6%
Other values (4) 180
 
11.1%
Hangul
ValueCountFrequency (%)
산 186
 
7.5%
시 171
 
6.9%
로 159
 
6.4%
동 131
 
5.3%
창 129
 
5.2%
원 113
 
4.6%
단 102
 
4.1%
성 97
 
3.9%
구 96
 
3.9%
길 86
 
3.5%
Other values (115) 1199
48.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공단명
Categorical

Distinct38
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
창원국가산업단지
87 
유산지방산업단지
18 
칠서지방산업단지
15 
진사지방산업단지
14 
진주상평지방산업단지
11 
Other values (33)
75 

Length

Max length10
Median length8
Mean length8.1045455
Min length4

Unique

Unique17 ?
Unique (%)7.7%

Sample

1st row옥포국가산업단지
2nd row죽도국가산업단지
3rd row마산수출자유지역
4th row마산수출자유지역
5th row진주상평지방산업단지

Common Values

ValueCountFrequency (%)
창원국가산업단지 87
39.5%
유산지방산업단지 18
 
8.2%
칠서지방산업단지 15
 
6.8%
진사지방산업단지 14
 
6.4%
진주상평지방산업단지 11
 
5.0%
군북일반산업단지 10
 
4.5%
어곡지방산업단지 8
 
3.6%
대합일반산업단지 6
 
2.7%
함안칠서산업단지 5
 
2.3%
마산수출자유지역 4
 
1.8%
Other values (28) 42
19.1%

Length

2023-12-11T09:11:35.306689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원국가산업단지 87
39.5%
유산지방산업단지 18
 
8.2%
칠서지방산업단지 15
 
6.8%
진사지방산업단지 14
 
6.4%
진주상평지방산업단지 11
 
5.0%
군북일반산업단지 10
 
4.5%
어곡지방산업단지 8
 
3.6%
대합일반산업단지 6
 
2.7%
함안칠서산업단지 5
 
2.3%
마산수출자유지역 4
 
1.8%
Other values (28) 42
19.1%

종별
Categorical

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2
92 
3
67 
1
48 
4
11 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 92
41.8%
3 67
30.5%
1 48
21.8%
4 11
 
5.0%
5 2
 
0.9%

Length

2023-12-11T09:11:35.441680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:11:35.559162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 92
41.8%
3 67
30.5%
1 48
21.8%
4 11
 
5.0%
5 2
 
0.9%

Interactions

2023-12-11T09:11:32.262213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:11:35.658348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자공단명종별
연번1.0000.0610.8020.491
대표자0.0611.0000.0000.000
공단명0.8020.0001.0000.000
종별0.4910.0000.0001.000
2023-12-11T09:11:35.748444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별대표자공단명
종별1.0000.0000.000
대표자0.0001.0000.000
공단명0.0000.0001.000
2023-12-11T09:11:35.837674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자공단명종별
연번1.0000.0000.4000.222
대표자0.0001.0000.0000.000
공단명0.4000.0001.0000.000
종별0.2220.0000.0001.000

Missing values

2023-12-11T09:11:32.381882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:11:32.516979image/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

연번업체명대표자업종주소공단명종별
01대우조선해양(주)대표이사조립금속제품거제시 거제대로 3370(아주동)옥포국가산업단지1
12삼성중공업(주)거제조선소대표이사조립금속제품거제시 장평3로 80(장평동)죽도국가산업단지1
23KC환경서비스㈜창원사업부대표이사폐기물처리업창원시 마산회원구 자유무역6길 103(봉암동)마산수출자유지역1
34(주)동남대표이사비금속광물창원시 마산회원구 자유무역6길 157(봉암동)마산수출자유지역2
45남강제지(주)하준식제지진주시 남강로1367번길 36(상대동)진주상평지방산업단지1
56진주특종제지(주)정영식제지진주시 남강로1367번길 14(상대동)진주상평지방산업단지2
67무림파워텍(주)대표이사증기 및 온수공급진주시 동진로 290(상대동)진주상평지방산업단지1
78(주)신흥[상평공단]대표이사고무및플라스틱진주시 대신로 146(상평동)진주상평지방산업단지2
89아이에스동서(주)진주지점대표이사일반도자기제조진주시 도동로 57(상평동)진주상평지방산업단지1
910하이트진로산업㈜진주공장대표이사비금속광물진주시 도동로 58(상평동)진주상평지방산업단지2
연번업체명대표자업종주소공단명종별
210211한국표면처리(주)대표이사항공용부품제조업사천시 용현면 신촌리 432-24번지 산업용지 3-1종포일반산업단지2
211212영화금속㈜함안공장대표이사강주물주조업함안군 군북면 함안산단4길 79군북일반산업단지1
212213(주)알루앤텍대표이사알루미늄 제련정련 및 합금제조업도로명 부여전거창일반산업단지2
213214현진소재(주)3공장대표이사기어 및 동력전달장치제조업함안군 칠서면 공단동3길 65칠서지방산업단지3
214215케이지에너켐 주식회사대표이사기타 기초무기화학물질 제조업함안군 칠서면 공단동2길 38(계내리)칠서지방산업단지3
215216(주)홍인대표이사선박구성부분품제조업함안군 군북면 함안산단2길 25-17군북일반산업단지3
216217대영전자(주)대표이사플라스틱제품제조업창원시 성산구 공단로 166번길 13-41창원일반산업단지3
217218(주)위스텍대표이사플라스틱제품제조업(22249)양산시 어곡공단1길 108(어곡동)어곡지방산업단지3
218219청신대표이사세탁업함안군 군북면 함안산단1길 26-14군북일반산업단지5
219220(주)동아대표이사조립금속제품제조,금속열처리창원시 의창구 남면로 113번길(대원동 91)창원국가산업단지3