Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory59.9 B

Variable types

Categorical2
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

데이터기준일자 has constant value ""Constant
전화번호 has 1 (2.9%) missing valuesMissing
업 체 명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:00:39.385079
Analysis finished2023-12-11 01:00:39.906410
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
금서농공단지
13 
산청농공단지
금서제2농공단지
매촌제2일반산업단지
매촌일반산업단지
 
1

Length

Max length10
Median length6
Mean length6.8235294
Min length6

Unique

Unique2 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
금서농공단지 13
38.2%
산청농공단지 9
26.5%
금서제2농공단지 7
20.6%
매촌제2일반산업단지 3
 
8.8%
매촌일반산업단지 1
 
2.9%
화현농공단지 1
 
2.9%

Length

2023-12-11T10:00:39.969623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:40.079302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금서농공단지 13
38.2%
산청농공단지 9
26.5%
금서제2농공단지 7
20.6%
매촌제2일반산업단지 3
 
8.8%
매촌일반산업단지 1
 
2.9%
화현농공단지 1
 
2.9%

업 체 명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T10:00:40.262690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.7941176
Min length4

Characters and Unicode

Total characters333
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row(주)신선 에프.앤.브이
2nd row(주)아이스올리(1공장)
3rd row(주)아이스올리(2공장)
4th row(주)엔티코리아
5th row(합)동명식품
ValueCountFrequency (%)
주식회사 5
 
10.9%
농업회사법인 2
 
4.3%
주)율곡 2
 
4.3%
주)신선 1
 
2.2%
주식회사평림제2공장 1
 
2.2%
한국grc(주 1
 
2.2%
지에이치메탈(주)산청지점 1
 
2.2%
지에스전선(주 1
 
2.2%
진경엔텍 1
 
2.2%
비에이치 1
 
2.2%
Other values (30) 30
65.2%
2023-12-11T10:00:40.571776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
8.7%
( 23
 
6.9%
) 23
 
6.9%
13
 
3.9%
13
 
3.9%
12
 
3.6%
11
 
3.3%
9
 
2.7%
9
 
2.7%
9
 
2.7%
Other values (96) 182
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
79.0%
Open Punctuation 23
 
6.9%
Close Punctuation 23
 
6.9%
Space Separator 12
 
3.6%
Decimal Number 7
 
2.1%
Uppercase Letter 3
 
0.9%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
11.0%
13
 
4.9%
13
 
4.9%
11
 
4.2%
9
 
3.4%
9
 
3.4%
9
 
3.4%
8
 
3.0%
8
 
3.0%
7
 
2.7%
Other values (86) 147
55.9%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
R 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
79.0%
Common 67
 
20.1%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
11.0%
13
 
4.9%
13
 
4.9%
11
 
4.2%
9
 
3.4%
9
 
3.4%
9
 
3.4%
8
 
3.0%
8
 
3.0%
7
 
2.7%
Other values (86) 147
55.9%
Common
ValueCountFrequency (%)
( 23
34.3%
) 23
34.3%
12
17.9%
2 4
 
6.0%
1 2
 
3.0%
. 2
 
3.0%
3 1
 
1.5%
Latin
ValueCountFrequency (%)
C 1
33.3%
R 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
79.0%
ASCII 70
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
11.0%
13
 
4.9%
13
 
4.9%
11
 
4.2%
9
 
3.4%
9
 
3.4%
9
 
3.4%
8
 
3.0%
8
 
3.0%
7
 
2.7%
Other values (86) 147
55.9%
ASCII
ValueCountFrequency (%)
( 23
32.9%
) 23
32.9%
12
17.1%
2 4
 
5.7%
1 2
 
2.9%
. 2
 
2.9%
C 1
 
1.4%
R 1
 
1.4%
G 1
 
1.4%
3 1
 
1.4%
Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T10:00:40.751961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3529412
Min length3

Characters and Unicode

Total characters114
Distinct characters51
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

Unique25 ?
Unique (%)73.5%

Sample

1st row이영섭
2nd row구현철
3rd row구현철
4th row엄점태 외 1
5th row박철진 외 1
ValueCountFrequency (%)
구현철 3
 
7.5%
3
 
7.5%
1 3
 
7.5%
신상현 2
 
5.0%
황인수 2
 
5.0%
위호철 2
 
5.0%
강승혜 1
 
2.5%
정영시 1
 
2.5%
이용민 1
 
2.5%
이동숙 1
 
2.5%
Other values (21) 21
52.5%
2023-12-11T10:00:41.106273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
7.0%
7
 
6.1%
7
 
6.1%
6
 
5.3%
5
 
4.4%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
3
 
2.6%
Other values (41) 63
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
92.1%
Space Separator 6
 
5.3%
Decimal Number 3
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
7.6%
7
 
6.7%
7
 
6.7%
5
 
4.8%
4
 
3.8%
4
 
3.8%
4
 
3.8%
3
 
2.9%
3
 
2.9%
3
 
2.9%
Other values (39) 57
54.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
92.1%
Common 9
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
7.6%
7
 
6.7%
7
 
6.7%
5
 
4.8%
4
 
3.8%
4
 
3.8%
4
 
3.8%
3
 
2.9%
3
 
2.9%
3
 
2.9%
Other values (39) 57
54.3%
Common
ValueCountFrequency (%)
6
66.7%
1 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
92.1%
ASCII 9
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
7.6%
7
 
6.7%
7
 
6.7%
5
 
4.8%
4
 
3.8%
4
 
3.8%
4
 
3.8%
3
 
2.9%
3
 
2.9%
3
 
2.9%
Other values (39) 57
54.3%
ASCII
ValueCountFrequency (%)
6
66.7%
1 3
33.3%
Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T10:00:41.295342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length24.058824
Min length22

Characters and Unicode

Total characters818
Distinct characters42
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

Unique32 ?
Unique (%)94.1%

Sample

1st row경상남도 산청군 금서면 친환경로 2462-14
2nd row경상남도 산청군 금서면 친환경로 2461-9
3rd row경상남도 산청군 금서면 친환경로 2461-15
4th row경상남도 산청군 금서면 친환경로 2461
5th row경상남도 산청군 금서면 친환경로 2484-8
ValueCountFrequency (%)
경상남도 34
20.1%
산청군 34
20.1%
금서면 24
14.2%
친환경로 17
10.1%
산청읍 9
 
5.3%
산수로 9
 
5.3%
친환경로2451번길 3
 
1.8%
116-54 2
 
1.2%
매촌리 2
 
1.2%
116-19 1
 
0.6%
Other values (34) 34
20.1%
2023-12-11T10:00:41.622468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
16.7%
54
 
6.6%
52
 
6.4%
1 46
 
5.6%
43
 
5.3%
34
 
4.2%
34
 
4.2%
34
 
4.2%
34
 
4.2%
2 31
 
3.8%
Other values (32) 319
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 479
58.6%
Decimal Number 176
 
21.5%
Space Separator 137
 
16.7%
Dash Punctuation 26
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
11.3%
52
10.9%
43
 
9.0%
34
 
7.1%
34
 
7.1%
34
 
7.1%
34
 
7.1%
30
 
6.3%
25
 
5.2%
24
 
5.0%
Other values (20) 115
24.0%
Decimal Number
ValueCountFrequency (%)
1 46
26.1%
2 31
17.6%
4 26
14.8%
6 22
12.5%
3 20
11.4%
8 14
 
8.0%
5 10
 
5.7%
7 3
 
1.7%
9 3
 
1.7%
0 1
 
0.6%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 479
58.6%
Common 339
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
54
11.3%
52
10.9%
43
 
9.0%
34
 
7.1%
34
 
7.1%
34
 
7.1%
34
 
7.1%
30
 
6.3%
25
 
5.2%
24
 
5.0%
Other values (20) 115
24.0%
Common
ValueCountFrequency (%)
137
40.4%
1 46
 
13.6%
2 31
 
9.1%
- 26
 
7.7%
4 26
 
7.7%
6 22
 
6.5%
3 20
 
5.9%
8 14
 
4.1%
5 10
 
2.9%
7 3
 
0.9%
Other values (2) 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 479
58.6%
ASCII 339
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
40.4%
1 46
 
13.6%
2 31
 
9.1%
- 26
 
7.7%
4 26
 
7.7%
6 22
 
6.5%
3 20
 
5.9%
8 14
 
4.1%
5 10
 
2.9%
7 3
 
0.9%
Other values (2) 4
 
1.2%
Hangul
ValueCountFrequency (%)
54
11.3%
52
10.9%
43
 
9.0%
34
 
7.1%
34
 
7.1%
34
 
7.1%
34
 
7.1%
30
 
6.3%
25
 
5.2%
24
 
5.0%
Other values (20) 115
24.0%

전화번호
Text

MISSING 

Distinct28
Distinct (%)84.8%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-11T10:00:41.817383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.969697
Min length11

Characters and Unicode

Total characters395
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

Unique24 ?
Unique (%)72.7%

Sample

1st row055-974-0761
2nd row055-974-1031
3rd row055-974-1031
4th row055-974-0188
5th row055-974-0765
ValueCountFrequency (%)
055-974-1031 3
 
9.1%
055-974-7119 2
 
6.1%
055-973-7769 2
 
6.1%
055-275-2911 2
 
6.1%
055-586-0400 1
 
3.0%
055-974-0761 1
 
3.0%
055-973-4123 1
 
3.0%
055-973-5675 1
 
3.0%
055-974-2511 1
 
3.0%
055-973-8531 1
 
3.0%
Other values (18) 18
54.5%
2023-12-11T10:00:42.101165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
19.7%
- 66
16.7%
0 53
13.4%
7 49
12.4%
9 40
10.1%
1 29
 
7.3%
4 20
 
5.1%
3 19
 
4.8%
2 18
 
4.6%
6 12
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 78
23.7%
0 53
16.1%
7 49
14.9%
9 40
12.2%
1 29
 
8.8%
4 20
 
6.1%
3 19
 
5.8%
2 18
 
5.5%
6 12
 
3.6%
8 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 395
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
19.7%
- 66
16.7%
0 53
13.4%
7 49
12.4%
9 40
10.1%
1 29
 
7.3%
4 20
 
5.1%
3 19
 
4.8%
2 18
 
4.6%
6 12
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
19.7%
- 66
16.7%
0 53
13.4%
7 49
12.4%
9 40
10.1%
1 29
 
7.3%
4 20
 
5.1%
3 19
 
4.8%
2 18
 
4.6%
6 12
 
3.0%
Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T10:00:42.312302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length6.9411765
Min length2

Characters and Unicode

Total characters236
Distinct characters115
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)76.5%

Sample

1st row과일젤리, 통조림
2nd row식용얼음
3rd row식용얼음
4th rowPP 포대
5th row국수
ValueCountFrequency (%)
항공기 3
 
5.6%
식용얼음 3
 
5.6%
부품 3
 
5.6%
플라스틱 2
 
3.7%
용기 2
 
3.7%
2
 
3.7%
콘크리트관 2
 
3.7%
포대 1
 
1.9%
전선 1
 
1.9%
황토분말 1
 
1.9%
Other values (34) 34
63.0%
2023-12-11T10:00:42.682812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
8.5%
9
 
3.8%
, 9
 
3.8%
7
 
3.0%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
4
 
1.7%
4
 
1.7%
Other values (105) 162
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
80.5%
Space Separator 20
 
8.5%
Uppercase Letter 16
 
6.8%
Other Punctuation 9
 
3.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
4.7%
7
 
3.7%
6
 
3.2%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (93) 137
72.1%
Uppercase Letter
ValueCountFrequency (%)
P 4
25.0%
M 3
18.8%
D 2
12.5%
E 2
12.5%
O 1
 
6.2%
F 1
 
6.2%
S 1
 
6.2%
J 1
 
6.2%
R 1
 
6.2%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
80.5%
Common 30
 
12.7%
Latin 16
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
4.7%
7
 
3.7%
6
 
3.2%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (93) 137
72.1%
Latin
ValueCountFrequency (%)
P 4
25.0%
M 3
18.8%
D 2
12.5%
E 2
12.5%
O 1
 
6.2%
F 1
 
6.2%
S 1
 
6.2%
J 1
 
6.2%
R 1
 
6.2%
Common
ValueCountFrequency (%)
20
66.7%
, 9
30.0%
- 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
80.5%
ASCII 46
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
43.5%
, 9
19.6%
P 4
 
8.7%
M 3
 
6.5%
D 2
 
4.3%
E 2
 
4.3%
O 1
 
2.2%
F 1
 
2.2%
- 1
 
2.2%
S 1
 
2.2%
Other values (2) 2
 
4.3%
Hangul
ValueCountFrequency (%)
9
 
4.7%
7
 
3.7%
6
 
3.2%
5
 
2.6%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (93) 137
72.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2022-04-15
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-04-15
2nd row2022-04-15
3rd row2022-04-15
4th row2022-04-15
5th row2022-04-15

Common Values

ValueCountFrequency (%)
2022-04-15 34
100.0%

Length

2023-12-11T10:00:42.811840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:00:42.901924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-04-15 34
100.0%

Correlations

2023-12-11T10:00:42.957303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분업 체 명대표자소 재 지전화번호생산품
구 분1.0001.0000.9841.0000.9830.865
업 체 명1.0001.0001.0001.0001.0001.000
대표자0.9841.0001.0000.9661.0000.990
소 재 지1.0001.0000.9661.0000.9650.966
전화번호0.9831.0001.0000.9651.0000.989
생산품0.8651.0000.9900.9660.9891.000

Missing values

2023-12-11T10:00:39.758862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:00:39.867202image/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

구 분업 체 명대표자소 재 지전화번호생산품데이터기준일자
0금서농공단지(주)신선 에프.앤.브이이영섭경상남도 산청군 금서면 친환경로 2462-14055-974-0761과일젤리, 통조림2022-04-15
1금서농공단지(주)아이스올리(1공장)구현철경상남도 산청군 금서면 친환경로 2461-9055-974-1031식용얼음2022-04-15
2금서농공단지(주)아이스올리(2공장)구현철경상남도 산청군 금서면 친환경로 2461-15055-974-1031식용얼음2022-04-15
3금서농공단지(주)엔티코리아엄점태 외 1경상남도 산청군 금서면 친환경로 2461055-974-0188PP 포대2022-04-15
4금서농공단지(합)동명식품박철진 외 1경상남도 산청군 금서면 친환경로 2484-8055-974-0765국수2022-04-15
5금서농공단지골인제약주식회사권진현경상남도 산청군 금서면 친환경로 2462-8055-974-0991해독제2022-04-15
6금서농공단지구니카주식회사최용명경상남도 산청군 금서면 친환경로 2483055-973-8777장난감2022-04-15
7금서농공단지그린파워씨앤에스심규수 외 1경상남도 산청군 금서면 친환경로 2461-16055-972-3385플라스틱 용기2022-04-15
8금서농공단지산청군산림조합(제재2공장)황인수경상남도 산청군 금서면 매촌리-1288번지055-973-7769각재,판재,지주목등2022-04-15
9금서농공단지산청군산림조합(제재공장)황인수경상남도 산청군 금서면 친환경로 2485055-973-7769목재가공2022-04-15
구 분업 체 명대표자소 재 지전화번호생산품데이터기준일자
24산청농공단지(주)극동이엔씨최승훈경상남도 산청군 산청읍 산수로 116-31055-586-0400배전반, 전기자동제어반2022-04-15
25산청농공단지(주)디럭스테크놀러지정영시경상남도 산청군 산청읍 산수로 116-19055-973-5476낚시줄2022-04-15
26산청농공단지낙우산업(주)이용민경상남도 산청군 산청읍 산수로 116-54055-972-9922황토분말 등2022-04-15
27산청농공단지성동기업(주)이동숙경상남도 산청군 산청읍 산수로 116-28055-974-0727콘크리트관2022-04-15
28산청농공단지주식회사 비에이치이윤상경상남도 산청군 산청읍 산수로 116-48<NA>조명장치2022-04-15
29산청농공단지주식회사 진경엔텍강승혜경상남도 산청군 산청읍 산수로 116-5402-468-6257상하수도 폐수처리기계 및 제어품2022-04-15
30산청농공단지지에스전선(주)강신일경상남도 산청군 산청읍 산수로 116-12055-973-8531전선, 마그넷와이트2022-04-15
31산청농공단지지에이치메탈(주)산청지점하수철경상남도 산청군 산청읍 산수로 116-37055-974-2511비철금속 압축퍽2022-04-15
32산청농공단지한국GRC(주)김강석경상남도 산청군 산청읍 산수로 116-55055-973-5675JS-FORM2022-04-15
33화현농공단지영남제과이호승경상남도 산청군 생비량면 화현리 1665-1번지055-974-3100옛날과자2022-04-15