Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory53.1 B

Variable types

Categorical1
Text5

Dataset

Description2023년 4월 18일 기준, 경상남도 산청군 산업단지 현황 정보입니다. (단지구분, 업체명, 대표자명, 소재지, 전화번호, 생산품)
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3064774

Alerts

업 체 명 has unique valuesUnique
소 재 지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:00:24.687155
Analysis finished2023-12-11 01:00:25.291555
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
금서농공단지
10 
금서제2농공단지
7 
산청농공단지
6 
매촌제2일반산업단지
2 
매촌일반산업단지
 
1

Length

Max length10
Median length6
Mean length6.9230769
Min length6

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
금서농공단지 10
38.5%
금서제2농공단지 7
26.9%
산청농공단지 6
23.1%
매촌제2일반산업단지 2
 
7.7%
매촌일반산업단지 1
 
3.8%

Length

2023-12-11T10:00:25.400908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:25.527263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금서농공단지 10
38.5%
금서제2농공단지 7
26.9%
산청농공단지 6
23.1%
매촌제2일반산업단지 2
 
7.7%
매촌일반산업단지 1
 
3.8%

업 체 명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:25.755365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.8846154
Min length3

Characters and Unicode

Total characters231
Distinct characters83
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

Unique26 ?
Unique (%)100.0%

Sample

1st row낙우산업(주)
2nd row한국GRC(주)
3rd row(주)디럭스테크놀러지
4th row지에스전선(주)
5th row성동기업(주)
ValueCountFrequency (%)
2공장 2
 
5.6%
㈜율곡 2
 
5.6%
㈜평림 2
 
5.6%
산청군 2
 
5.6%
산림조합 2
 
5.6%
1공장 2
 
5.6%
주)아이스올리 2
 
5.6%
진주마넷 1
 
2.8%
㈜샘코 1
 
2.8%
주)태양스틸 1
 
2.8%
Other values (19) 19
52.8%
2023-12-11T10:00:26.138646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 24
 
10.4%
) 24
 
10.4%
주 17
 
7.4%
10
 
4.3%
산 9
 
3.9%
공 8
 
3.5%
장 7
 
3.0%
스 5
 
2.2%
청 5
 
2.2%
㈜ 5
 
2.2%
Other values (73) 117
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
67.1%
Open Punctuation 24
 
10.4%
Close Punctuation 24
 
10.4%
Space Separator 10
 
4.3%
Decimal Number 7
 
3.0%
Other Symbol 5
 
2.2%
Uppercase Letter 5
 
2.2%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
11.0%
산 9
 
5.8%
공 8
 
5.2%
장 7
 
4.5%
스 5
 
3.2%
청 5
 
3.2%
지 4
 
2.6%
림 4
 
2.6%
이 4
 
2.6%
합 4
 
2.6%
Other values (60) 88
56.8%
Uppercase Letter
ValueCountFrequency (%)
F 1
20.0%
V 1
20.0%
G 1
20.0%
R 1
20.0%
C 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 3
42.9%
3 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
69.3%
Common 66
28.6%
Latin 5
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
10.6%
산 9
 
5.6%
공 8
 
5.0%
장 7
 
4.4%
스 5
 
3.1%
청 5
 
3.1%
㈜ 5
 
3.1%
지 4
 
2.5%
림 4
 
2.5%
이 4
 
2.5%
Other values (61) 92
57.5%
Common
ValueCountFrequency (%)
( 24
36.4%
) 24
36.4%
10
15.2%
2 3
 
4.5%
1 3
 
4.5%
& 1
 
1.5%
3 1
 
1.5%
Latin
ValueCountFrequency (%)
F 1
20.0%
V 1
20.0%
G 1
20.0%
R 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
67.1%
ASCII 71
30.7%
None 5
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 24
33.8%
) 24
33.8%
10
14.1%
2 3
 
4.2%
1 3
 
4.2%
& 1
 
1.4%
F 1
 
1.4%
3 1
 
1.4%
V 1
 
1.4%
G 1
 
1.4%
Other values (2) 2
 
2.8%
Hangul
ValueCountFrequency (%)
주 17
 
11.0%
산 9
 
5.8%
공 8
 
5.2%
장 7
 
4.5%
스 5
 
3.2%
청 5
 
3.2%
지 4
 
2.6%
림 4
 
2.6%
이 4
 
2.6%
합 4
 
2.6%
Other values (60) 88
56.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%

대표자
Text

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:26.357169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)69.2%

Sample

1st row이용민
2nd row김강석
3rd row정영시
4th row강신일
5th row이동숙
ValueCountFrequency (%)
김학렬 2
 
7.7%
고영주 2
 
7.7%
위호철 2
 
7.7%
신상현 2
 
7.7%
최용명 1
 
3.8%
김강석 1
 
3.8%
이병용 1
 
3.8%
최영식 1
 
3.8%
안현호 1
 
3.8%
장미정 1
 
3.8%
Other values (12) 12
46.2%
2023-12-11T10:00:26.696513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 5
 
6.4%
이 5
 
6.4%
현 4
 
5.1%
김 3
 
3.8%
용 3
 
3.8%
신 3
 
3.8%
석 3
 
3.8%
호 3
 
3.8%
철 3
 
3.8%
강 3
 
3.8%
Other values (32) 43
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 5
 
6.4%
이 5
 
6.4%
현 4
 
5.1%
김 3
 
3.8%
용 3
 
3.8%
신 3
 
3.8%
석 3
 
3.8%
호 3
 
3.8%
철 3
 
3.8%
강 3
 
3.8%
Other values (32) 43
55.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 5
 
6.4%
이 5
 
6.4%
현 4
 
5.1%
김 3
 
3.8%
용 3
 
3.8%
신 3
 
3.8%
석 3
 
3.8%
호 3
 
3.8%
철 3
 
3.8%
강 3
 
3.8%
Other values (32) 43
55.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 5
 
6.4%
이 5
 
6.4%
현 4
 
5.1%
김 3
 
3.8%
용 3
 
3.8%
신 3
 
3.8%
석 3
 
3.8%
호 3
 
3.8%
철 3
 
3.8%
강 3
 
3.8%
Other values (32) 43
55.1%

소 재 지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:26.928863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length24
Min length22

Characters and Unicode

Total characters624
Distinct characters33
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 row경상남도 산청군 산청읍 산수로 116-54
2nd row경상남도 산청군 산청읍 산수로 116-55
3rd row경상남도 산청군 산청읍 산수로 116-19
4th row경상남도 산청군 산청읍 산수로 116-12
5th row경상남도 산청군 산청읍 산수로 116-28
ValueCountFrequency (%)
경상남도 26
20.0%
산청군 26
20.0%
금서면 20
15.4%
친환경로 16
12.3%
산청읍 6
 
4.6%
산수로 6
 
4.6%
친환경로2451번길 3
 
2.3%
2431-10 1
 
0.8%
33 1
 
0.8%
2431-23 1
 
0.8%
Other values (24) 24
18.5%
2023-12-11T10:00:27.312177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
16.7%
경 45
 
7.2%
산 38
 
6.1%
청 32
 
5.1%
1 32
 
5.1%
2 28
 
4.5%
상 26
 
4.2%
남 26
 
4.2%
도 26
 
4.2%
군 26
 
4.2%
Other values (23) 241
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
58.5%
Decimal Number 136
 
21.8%
Space Separator 104
 
16.7%
Dash Punctuation 19
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 45
12.3%
산 38
10.4%
청 32
 
8.8%
상 26
 
7.1%
남 26
 
7.1%
도 26
 
7.1%
군 26
 
7.1%
로 26
 
7.1%
면 20
 
5.5%
서 20
 
5.5%
Other values (11) 80
21.9%
Decimal Number
ValueCountFrequency (%)
1 32
23.5%
2 28
20.6%
4 22
16.2%
3 15
11.0%
6 15
11.0%
8 10
 
7.4%
5 7
 
5.1%
9 3
 
2.2%
7 3
 
2.2%
0 1
 
0.7%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
58.5%
Common 259
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 45
12.3%
산 38
10.4%
청 32
 
8.8%
상 26
 
7.1%
남 26
 
7.1%
도 26
 
7.1%
군 26
 
7.1%
로 26
 
7.1%
면 20
 
5.5%
서 20
 
5.5%
Other values (11) 80
21.9%
Common
ValueCountFrequency (%)
104
40.2%
1 32
 
12.4%
2 28
 
10.8%
4 22
 
8.5%
- 19
 
7.3%
3 15
 
5.8%
6 15
 
5.8%
8 10
 
3.9%
5 7
 
2.7%
9 3
 
1.2%
Other values (2) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
58.5%
ASCII 259
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
40.2%
1 32
 
12.4%
2 28
 
10.8%
4 22
 
8.5%
- 19
 
7.3%
3 15
 
5.8%
6 15
 
5.8%
8 10
 
3.9%
5 7
 
2.7%
9 3
 
1.2%
Other values (2) 4
 
1.5%
Hangul
ValueCountFrequency (%)
경 45
12.3%
산 38
10.4%
청 32
 
8.8%
상 26
 
7.1%
남 26
 
7.1%
도 26
 
7.1%
군 26
 
7.1%
로 26
 
7.1%
면 20
 
5.5%
서 20
 
5.5%
Other values (11) 80
21.9%

전화번호
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:27.554270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.884615
Min length9

Characters and Unicode

Total characters309
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

Unique22 ?
Unique (%)84.6%

Sample

1st row055-973-9885
2nd row055-973-5675
3rd row055-973-5476
4th row055-973-8531
5th row055-974-0727
ValueCountFrequency (%)
055-974-7119 2
 
7.7%
055-973-4800 2
 
7.7%
055-973-9885 1
 
3.8%
055-973-5675 1
 
3.8%
055-974-1080 1
 
3.8%
055-973-6101 1
 
3.8%
055-851-6917 1
 
3.8%
055-275-2912 1
 
3.8%
055-275-2911 1
 
3.8%
1599-5072 1
 
3.8%
Other values (14) 14
53.8%
2023-12-11T10:00:27.933157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 63
20.4%
- 51
16.5%
0 40
12.9%
7 40
12.9%
9 31
10.0%
1 21
 
6.8%
4 16
 
5.2%
3 13
 
4.2%
2 13
 
4.2%
6 11
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
83.5%
Dash Punctuation 51
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 63
24.4%
0 40
15.5%
7 40
15.5%
9 31
12.0%
1 21
 
8.1%
4 16
 
6.2%
3 13
 
5.0%
2 13
 
5.0%
6 11
 
4.3%
8 10
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 63
20.4%
- 51
16.5%
0 40
12.9%
7 40
12.9%
9 31
10.0%
1 21
 
6.8%
4 16
 
5.2%
3 13
 
4.2%
2 13
 
4.2%
6 11
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 63
20.4%
- 51
16.5%
0 40
12.9%
7 40
12.9%
9 31
10.0%
1 21
 
6.8%
4 16
 
5.2%
3 13
 
4.2%
2 13
 
4.2%
6 11
 
3.6%

생산품
Text

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:28.168197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5.1923077
Min length2

Characters and Unicode

Total characters135
Distinct characters78
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

Unique16 ?
Unique (%)61.5%

Sample

1st row황토,물탱크
2nd rowJS-Form
3rd row낚시줄
4th row전선(동선)
5th row콘크리트수로관
ValueCountFrequency (%)
항공기부품 4
 
14.8%
가공목재류 2
 
7.4%
소화배관 2
 
7.4%
식품(얼음 2
 
7.4%
pp포대 1
 
3.7%
황토,물탱크 1
 
3.7%
js-form 1
 
3.7%
농업용파이프 1
 
3.7%
한약재 1
 
3.7%
식품(마분말 1
 
3.7%
Other values (11) 11
40.7%
2023-12-11T10:00:28.552487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 10
 
7.4%
( 6
 
4.4%
공 6
 
4.4%
) 6
 
4.4%
기 5
 
3.7%
식 5
 
3.7%
항 4
 
3.0%
부 4
 
3.0%
재 3
 
2.2%
P 3
 
2.2%
Other values (68) 83
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108
80.0%
Uppercase Letter 9
 
6.7%
Open Punctuation 6
 
4.4%
Close Punctuation 6
 
4.4%
Lowercase Letter 3
 
2.2%
Dash Punctuation 1
 
0.7%
Other Punctuation 1
 
0.7%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 10
 
9.3%
공 6
 
5.6%
기 5
 
4.6%
식 5
 
4.6%
항 4
 
3.7%
부 4
 
3.7%
재 3
 
2.8%
관 3
 
2.8%
목 2
 
1.9%
수 2
 
1.9%
Other values (53) 64
59.3%
Uppercase Letter
ValueCountFrequency (%)
P 3
33.3%
J 1
 
11.1%
S 1
 
11.1%
F 1
 
11.1%
E 1
 
11.1%
D 1
 
11.1%
M 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
r 1
33.3%
m 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108
80.0%
Common 15
 
11.1%
Latin 12
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 10
 
9.3%
공 6
 
5.6%
기 5
 
4.6%
식 5
 
4.6%
항 4
 
3.7%
부 4
 
3.7%
재 3
 
2.8%
관 3
 
2.8%
목 2
 
1.9%
수 2
 
1.9%
Other values (53) 64
59.3%
Latin
ValueCountFrequency (%)
P 3
25.0%
J 1
 
8.3%
S 1
 
8.3%
F 1
 
8.3%
o 1
 
8.3%
r 1
 
8.3%
m 1
 
8.3%
E 1
 
8.3%
D 1
 
8.3%
M 1
 
8.3%
Common
ValueCountFrequency (%)
( 6
40.0%
) 6
40.0%
- 1
 
6.7%
, 1
 
6.7%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108
80.0%
ASCII 27
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 10
 
9.3%
공 6
 
5.6%
기 5
 
4.6%
식 5
 
4.6%
항 4
 
3.7%
부 4
 
3.7%
재 3
 
2.8%
관 3
 
2.8%
목 2
 
1.9%
수 2
 
1.9%
Other values (53) 64
59.3%
ASCII
ValueCountFrequency (%)
( 6
22.2%
) 6
22.2%
P 3
11.1%
- 1
 
3.7%
J 1
 
3.7%
S 1
 
3.7%
F 1
 
3.7%
o 1
 
3.7%
r 1
 
3.7%
m 1
 
3.7%
Other values (5) 5
18.5%

Correlations

2023-12-11T10:00:28.641185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업 체 명대표자소 재 지전화번호생산품
구분1.0001.0000.9761.0000.9640.922
업 체 명1.0001.0001.0001.0001.0001.000
대표자0.9761.0001.0001.0001.0001.000
소 재 지1.0001.0001.0001.0001.0001.000
전화번호0.9641.0001.0001.0001.0001.000
생산품0.9221.0001.0001.0001.0001.000

Missing values

2023-12-11T10:00:25.025959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:00:25.235247image/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

구분업 체 명대표자소 재 지전화번호생산품
0산청농공단지낙우산업(주)이용민경상남도 산청군 산청읍 산수로 116-54055-973-9885황토,물탱크
1산청농공단지한국GRC(주)김강석경상남도 산청군 산청읍 산수로 116-55055-973-5675JS-Form
2산청농공단지(주)디럭스테크놀러지정영시경상남도 산청군 산청읍 산수로 116-19055-973-5476낚시줄
3산청농공단지지에스전선(주)강신일경상남도 산청군 산청읍 산수로 116-12055-973-8531전선(동선)
4산청농공단지성동기업(주)이동숙경상남도 산청군 산청읍 산수로 116-28055-974-0727콘크리트수로관
5산청농공단지지에이치메탈(주)산청지점하수철경상남도 산청군 산청읍 산수로 116-37055-974-2511비철금속외
6금서농공단지골인제약(주)권진현경상남도 산청군 금서면 친환경로 2462-8055-974-0991해독제
7금서농공단지(합)혜성도기강석규경상남도 산청군 금서면 친환경로 2462055-972-2013내열도기
8금서농공단지(합)동명식품박재동경상남도 산청군 금서면 친환경로 2484-8055-974-0765식품(국수)
9금서농공단지(주)엔티코리아엄점태경상남도 산청군 금서면 친환경로 2461055-974-2882PP포대
구분업 체 명대표자소 재 지전화번호생산품
16금서제2농공단지(주)자연애제약장미정경상남도 산청군 금서면 친환경로 2431-101599-5072한약재
17금서제2농공단지㈜평림 (1공장)신상현경상남도 산청군 금서면 친환경로2451번길 33055-974-7119소화배관
18금서제2농공단지㈜평림 (2공장)신상현경상남도 산청군 금서면 친환경로 2431-23055-974-7119소화배관
19금서제2농공단지㈜율곡 (산청1공장)위호철경상남도 산청군 금서면 친환경로 2431-9055-275-2911항공기부품
20금서제2농공단지㈜율곡 (산청2공장)위호철경상남도 산청군 금서면 친환경로 2431-33055-275-2912항공기부품
21금서제2농공단지(주)아이스올리 (3공장)고영주경상남도 산청군 금서면 친환경로 2431-16055-973-4800식품(얼음)
22금서제2농공단지한국항공우주산업(주)안현호경상남도 산청군 금서면 친환경로 2436055-851-6917항공기부품
23매촌일반산업단지(주)태양스틸최영식경상남도 산청군 금서면 동의보감로 77-11055-973-6101농업용파이프
24매촌제2일반산업단지㈜샘코이병용경상남도 산청군 금서면 친환경로2451번길 38-11055-974-1080항공기부품
25매촌제2일반산업단지제이엠신소재허태업경상남도 산청군 금서면 친환경로2451번길 38-22051-646-4123EDPM고무제품