Overview

Dataset statistics

Number of variables7
Number of observations26
Missing cells26
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory62.1 B

Variable types

Categorical1
Text5
Unsupported1

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

비고 has 26 (100.0%) missing valuesMissing
업 체 명 has unique valuesUnique
소 재 지 has unique valuesUnique
사무실 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 01:00:29.566545
Analysis finished2023-12-11 01:00:29.970579
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
금서농공단지
11 
산청차탄농공단지
9 
금서제2농공단지
4 
매촌제2일반산업단지
2 

Length

Max length10
Median length9
Mean length7.3076923
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금서농공단지 11
42.3%
산청차탄농공단지 9
34.6%
금서제2농공단지 4
 
15.4%
매촌제2일반산업단지 2
 
7.7%

Length

2023-12-11T10:00:30.032267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:30.122624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금서농공단지 11
42.3%
산청차탄농공단지 9
34.6%
금서제2농공단지 4
 
15.4%
매촌제2일반산업단지 2
 
7.7%

업 체 명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:30.279965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.3076923
Min length4

Characters and Unicode

Total characters216
Distinct characters91
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 row동국에너지테크(주)
4th row(주)동우펄프하이텍
5th row(주)신테크
ValueCountFrequency (%)
산청군 2
 
6.5%
산림조합 2
 
6.5%
두수환경 1
 
3.2%
한국항공(주 1
 
3.2%
㈜동남농산 1
 
3.2%
주)파인테크윈 1
 
3.2%
주)자연애제약 1
 
3.2%
주)대명엔지니어링 1
 
3.2%
주)아이스올리 1
 
3.2%
정도식품 1
 
3.2%
Other values (19) 19
61.3%
2023-12-11T10:00:30.675301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 22
 
10.2%
) 22
 
10.2%
주 19
 
8.8%
산 7
 
3.2%
지 6
 
2.8%
5
 
2.3%
동 5
 
2.3%
합 4
 
1.9%
이 4
 
1.9%
크 4
 
1.9%
Other values (81) 118
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
73.1%
Open Punctuation 22
 
10.2%
Close Punctuation 22
 
10.2%
Space Separator 5
 
2.3%
Uppercase Letter 5
 
2.3%
Decimal Number 2
 
0.9%
Other Symbol 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
12.0%
산 7
 
4.4%
지 6
 
3.8%
동 5
 
3.2%
합 4
 
2.5%
이 4
 
2.5%
크 4
 
2.5%
테 4
 
2.5%
신 3
 
1.9%
에 3
 
1.9%
Other values (69) 99
62.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
20.0%
F 1
20.0%
G 1
20.0%
R 1
20.0%
C 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
73.6%
Common 52
 
24.1%
Latin 5
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
11.9%
산 7
 
4.4%
지 6
 
3.8%
동 5
 
3.1%
합 4
 
2.5%
이 4
 
2.5%
크 4
 
2.5%
테 4
 
2.5%
신 3
 
1.9%
에 3
 
1.9%
Other values (70) 100
62.9%
Common
ValueCountFrequency (%)
( 22
42.3%
) 22
42.3%
5
 
9.6%
& 1
 
1.9%
2 1
 
1.9%
1 1
 
1.9%
Latin
ValueCountFrequency (%)
V 1
20.0%
F 1
20.0%
G 1
20.0%
R 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
73.1%
ASCII 57
 
26.4%
None 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 22
38.6%
) 22
38.6%
5
 
8.8%
V 1
 
1.8%
F 1
 
1.8%
& 1
 
1.8%
2 1
 
1.8%
1 1
 
1.8%
G 1
 
1.8%
R 1
 
1.8%
Hangul
ValueCountFrequency (%)
주 19
 
12.0%
산 7
 
4.4%
지 6
 
3.8%
동 5
 
3.2%
합 4
 
2.5%
이 4
 
2.5%
크 4
 
2.5%
테 4
 
2.5%
신 3
 
1.9%
에 3
 
1.9%
Other values (69) 99
62.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:30.839551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters46
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

Unique24 ?
Unique (%)92.3%

Sample

1st row이용민
2nd row김강석
3rd row문도주
4th row이영민
5th row김두원
ValueCountFrequency (%)
김학렬 2
 
7.7%
이용민 1
 
3.8%
최용명 1
 
3.8%
김수동 1
 
3.8%
하성용 1
 
3.8%
채용석 1
 
3.8%
백정용 1
 
3.8%
장미정 1
 
3.8%
황종균 1
 
3.8%
고영주 1
 
3.8%
Other values (15) 15
57.7%
2023-12-11T10:00:31.103525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
6.4%
용 5
 
6.4%
이 5
 
6.4%
석 4
 
5.1%
영 4
 
5.1%
정 3
 
3.8%
강 3
 
3.8%
민 3
 
3.8%
동 3
 
3.8%
학 2
 
2.6%
Other values (36) 41
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
6.4%
용 5
 
6.4%
이 5
 
6.4%
석 4
 
5.1%
영 4
 
5.1%
정 3
 
3.8%
강 3
 
3.8%
민 3
 
3.8%
동 3
 
3.8%
학 2
 
2.6%
Other values (36) 41
52.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
6.4%
용 5
 
6.4%
이 5
 
6.4%
석 4
 
5.1%
영 4
 
5.1%
정 3
 
3.8%
강 3
 
3.8%
민 3
 
3.8%
동 3
 
3.8%
학 2
 
2.6%
Other values (36) 41
52.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
6.4%
용 5
 
6.4%
이 5
 
6.4%
석 4
 
5.1%
영 4
 
5.1%
정 3
 
3.8%
강 3
 
3.8%
민 3
 
3.8%
동 3
 
3.8%
학 2
 
2.6%
Other values (36) 41
52.6%

소 재 지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:31.331531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length23.807692
Min length22

Characters and Unicode

Total characters619
Distinct characters29
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 116-31
4th row경상남도 산청군 산청읍 산수로 116-48
5th row경상남도 산청군 산청읍 산수로 116-11
ValueCountFrequency (%)
경상남도 26
20.0%
산청군 26
20.0%
금서면 17
13.1%
친환경로 15
11.5%
산청읍 9
 
6.9%
산수로 9
 
6.9%
친환경로2451번길 2
 
1.5%
2461-9 1
 
0.8%
2486 1
 
0.8%
2462-14 1
 
0.8%
Other values (23) 23
17.7%
2023-12-11T10:00:31.705865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
16.8%
산 44
 
7.1%
경 43
 
6.9%
1 36
 
5.8%
청 35
 
5.7%
도 26
 
4.2%
남 26
 
4.2%
군 26
 
4.2%
2 26
 
4.2%
로 26
 
4.2%
Other values (19) 227
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
58.0%
Decimal Number 136
 
22.0%
Space Separator 104
 
16.8%
Dash Punctuation 20
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 44
12.3%
경 43
12.0%
청 35
9.7%
도 26
 
7.2%
남 26
 
7.2%
군 26
 
7.2%
로 26
 
7.2%
상 26
 
7.2%
면 17
 
4.7%
환 17
 
4.7%
Other values (7) 73
20.3%
Decimal Number
ValueCountFrequency (%)
1 36
26.5%
2 26
19.1%
4 21
15.4%
6 18
13.2%
3 12
 
8.8%
8 12
 
8.8%
5 6
 
4.4%
9 2
 
1.5%
0 2
 
1.5%
7 1
 
0.7%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
58.0%
Common 260
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 44
12.3%
경 43
12.0%
청 35
9.7%
도 26
 
7.2%
남 26
 
7.2%
군 26
 
7.2%
로 26
 
7.2%
상 26
 
7.2%
면 17
 
4.7%
환 17
 
4.7%
Other values (7) 73
20.3%
Common
ValueCountFrequency (%)
104
40.0%
1 36
 
13.8%
2 26
 
10.0%
4 21
 
8.1%
- 20
 
7.7%
6 18
 
6.9%
3 12
 
4.6%
8 12
 
4.6%
5 6
 
2.3%
9 2
 
0.8%
Other values (2) 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
58.0%
ASCII 260
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
40.0%
1 36
 
13.8%
2 26
 
10.0%
4 21
 
8.1%
- 20
 
7.7%
6 18
 
6.9%
3 12
 
4.6%
8 12
 
4.6%
5 6
 
2.3%
9 2
 
0.8%
Other values (2) 3
 
1.2%
Hangul
ValueCountFrequency (%)
산 44
12.3%
경 43
12.0%
청 35
9.7%
도 26
 
7.2%
남 26
 
7.2%
군 26
 
7.2%
로 26
 
7.2%
상 26
 
7.2%
면 17
 
4.7%
환 17
 
4.7%
Other values (7) 73
20.3%

사무실
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:31.908501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.923077
Min length9

Characters and Unicode

Total characters310
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

Unique26 ?
Unique (%)100.0%

Sample

1st row055-973-9885
2nd row055-973-5675
3rd row055-973-8464
4th row055-973-6417
5th row055-974-2010
ValueCountFrequency (%)
055-973-9885 1
 
3.8%
055-973-5675 1
 
3.8%
055-974-1080 1
 
3.8%
055-851-6917 1
 
3.8%
055-790-9261 1
 
3.8%
070-4616-5838 1
 
3.8%
1599-5072 1
 
3.8%
055-973-7900 1
 
3.8%
055-973-4800 1
 
3.8%
055-755-6776 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T10:00:32.234493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 60
19.4%
- 51
16.5%
0 43
13.9%
7 40
12.9%
9 30
9.7%
4 18
 
5.8%
1 16
 
5.2%
3 15
 
4.8%
6 15
 
4.8%
8 12
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 259
83.5%
Dash Punctuation 51
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 60
23.2%
0 43
16.6%
7 40
15.4%
9 30
11.6%
4 18
 
6.9%
1 16
 
6.2%
3 15
 
5.8%
6 15
 
5.8%
8 12
 
4.6%
2 10
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 60
19.4%
- 51
16.5%
0 43
13.9%
7 40
12.9%
9 30
9.7%
4 18
 
5.8%
1 16
 
5.2%
3 15
 
4.8%
6 15
 
4.8%
8 12
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 60
19.4%
- 51
16.5%
0 43
13.9%
7 40
12.9%
9 30
9.7%
4 18
 
5.8%
1 16
 
5.2%
3 15
 
4.8%
6 15
 
4.8%
8 12
 
3.9%

생산품
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T10:00:32.421382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length5.4615385
Min length2

Characters and Unicode

Total characters142
Distinct characters90
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

Unique24 ?
Unique (%)92.3%

Sample

1st row황토,물탱크
2nd rowTS-Form
3rd row태양광설비
4th row펄프기계·몰드
5th row소화배관
ValueCountFrequency (%)
가공목재류 2
 
6.9%
등 2
 
6.9%
식품(젤리 1
 
3.4%
완구 1
 
3.4%
건조기계 1
 
3.4%
항공부품 1
 
3.4%
고추가루 1
 
3.4%
건조식품 1
 
3.4%
정화장치 1
 
3.4%
한약재 1
 
3.4%
Other values (17) 17
58.6%
2023-12-11T10:00:32.768955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 7
 
4.9%
) 6
 
4.2%
( 6
 
4.2%
식 5
 
3.5%
기 4
 
2.8%
비 3
 
2.1%
P 3
 
2.1%
공 3
 
2.1%
3
 
2.1%
수 3
 
2.1%
Other values (80) 99
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
78.9%
Uppercase Letter 9
 
6.3%
Close Punctuation 6
 
4.2%
Open Punctuation 6
 
4.2%
Space Separator 3
 
2.1%
Lowercase Letter 3
 
2.1%
Other Punctuation 2
 
1.4%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 7
 
6.2%
식 5
 
4.5%
기 4
 
3.6%
비 3
 
2.7%
공 3
 
2.7%
수 3
 
2.7%
계 3
 
2.7%
가 3
 
2.7%
재 3
 
2.7%
장 2
 
1.8%
Other values (64) 76
67.9%
Uppercase Letter
ValueCountFrequency (%)
P 3
33.3%
M 1
 
11.1%
D 1
 
11.1%
E 1
 
11.1%
F 1
 
11.1%
S 1
 
11.1%
T 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
r 1
33.3%
o 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
· 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
78.9%
Common 18
 
12.7%
Latin 12
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 7
 
6.2%
식 5
 
4.5%
기 4
 
3.6%
비 3
 
2.7%
공 3
 
2.7%
수 3
 
2.7%
계 3
 
2.7%
가 3
 
2.7%
재 3
 
2.7%
장 2
 
1.8%
Other values (64) 76
67.9%
Latin
ValueCountFrequency (%)
P 3
25.0%
M 1
 
8.3%
D 1
 
8.3%
E 1
 
8.3%
m 1
 
8.3%
r 1
 
8.3%
o 1
 
8.3%
F 1
 
8.3%
S 1
 
8.3%
T 1
 
8.3%
Common
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
3
16.7%
, 1
 
5.6%
· 1
 
5.6%
- 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
78.9%
ASCII 29
 
20.4%
None 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 7
 
6.2%
식 5
 
4.5%
기 4
 
3.6%
비 3
 
2.7%
공 3
 
2.7%
수 3
 
2.7%
계 3
 
2.7%
가 3
 
2.7%
재 3
 
2.7%
장 2
 
1.8%
Other values (64) 76
67.9%
ASCII
ValueCountFrequency (%)
) 6
20.7%
( 6
20.7%
P 3
10.3%
3
10.3%
, 1
 
3.4%
M 1
 
3.4%
D 1
 
3.4%
E 1
 
3.4%
m 1
 
3.4%
r 1
 
3.4%
Other values (5) 5
17.2%
None
ValueCountFrequency (%)
· 1
100.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Correlations

2023-12-11T10:00:32.872471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업 체 명대표자소 재 지사무실생산품
구분1.0001.0001.0001.0001.0001.000
업 체 명1.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.000
소 재 지1.0001.0001.0001.0001.0001.000
사무실1.0001.0001.0001.0001.0001.000
생산품1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T10:00:29.848201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:00:29.934252image/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 지사무실생산품비고
0산청차탄농공단지낙우산업(주)이용민경상남도 산청군 산청읍 산수로 116-54055-973-9885황토,물탱크<NA>
1산청차탄농공단지한국GRC(주)김강석경상남도 산청군 산청읍 산수로 116-55055-973-5675TS-Form<NA>
2산청차탄농공단지동국에너지테크(주)문도주경상남도 산청군 산청읍 산수로 116-31055-973-8464태양광설비<NA>
3산청차탄농공단지(주)동우펄프하이텍이영민경상남도 산청군 산청읍 산수로 116-48055-973-6417펄프기계·몰드<NA>
4산청차탄농공단지(주)신테크김두원경상남도 산청군 산청읍 산수로 116-11055-974-2010소화배관<NA>
5산청차탄농공단지(주)디럭스테크놀러지정영시경상남도 산청군 산청읍 산수로 116-19055-973-5476나일론수지<NA>
6산청차탄농공단지지에스전선(주)강신일경상남도 산청군 산청읍 산수로 116-12055-973-8531전선(동선)<NA>
7산청차탄농공단지성동기업(주)이동숙경상남도 산청군 산청읍 산수로 116-28055-974-0727콘크리트수로관<NA>
8산청차탄농공단지지에이치메탈(주)산청지점하수철경상남도 산청군 산청읍 산수로 116-37055-974-2511비철금속외<NA>
9금서농공단지골인제약(주)권진현경상남도 산청군 금서면 친환경로 2462-8055-974-0991해독제<NA>
구분업 체 명대표자소 재 지사무실생산품비고
16금서농공단지(주)신선F&V이영섭경상남도 산청군 금서면 친환경로 2462-14055-974-0761식품(젤리 등)<NA>
17금서농공단지진주마넷 정도식품이석민경상남도 산청군 금서면 친환경로 2462-18055-755-6776식품(마분말)<NA>
18금서농공단지(주)아이스올리고영주경상남도 산청군 금서면 친환경로 2461-9055-973-4800식품(얼음)<NA>
19금서농공단지(주)대명엔지니어링황종균경상남도 산청군 금서면 친환경로 2483-10055-973-7900기계장비<NA>
20금서제2농공단지(주)자연애제약장미정경상남도 산청군 금서면 친환경로 2431-101599-5072한약재<NA>
21금서제2농공단지(주)파인테크윈백정용경상남도 산청군 금서면 친환경로 2431-23070-4616-5838정화장치<NA>
22금서제2농공단지㈜동남농산채용석경상남도 산청군 금서면 친환경로 2431-16055-790-9261건조식품 (고추가루 등)<NA>
23금서제2농공단지한국항공(주)하성용경상남도 산청군 금서면 친환경로 2436055-851-6917항공부품<NA>
24매촌제2일반산업단지두수환경김수동경상남도 산청군 금서면 친환경로2451번길 38-13055-974-1080건조기계<NA>
25매촌제2일반산업단지제이엠신소재허태업경상남도 산청군 금서면 친환경로2451번길 38-22051-646-4123EDPM고무제품<NA>