Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory51.7 B

Variable types

Text5
Categorical1

Dataset

Description경상남도 김해시에 소재한 중질유(벙커C유 등) 사용업체 현황 정보입니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15076985

Reproduction

Analysis started2023-12-11 00:28:16.499086
Analysis finished2023-12-11 00:28:17.146427
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T09:28:17.319722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.0833333
Min length3

Characters and Unicode

Total characters219
Distinct characters91
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)91.7%

Sample

1st row대방스페샬스틸㈜
2nd row삼오메탈주식회사
3rd row한통아스콘㈜
4th row㈜삼광아스콘
5th row일진테이프㈜
ValueCountFrequency (%)
㈜유성기업 3
 
7.7%
동양금속공업사 1
 
2.6%
㈜건영테크 1
 
2.6%
화도산업 1
 
2.6%
삼성금속㈜제2공장 1
 
2.6%
㈜비에스씨 1
 
2.6%
㈜호경 1
 
2.6%
㈜나경 1
 
2.6%
알켄즈김해지사 1
 
2.6%
해광메탈㈜ 1
 
2.6%
Other values (27) 27
69.2%
2023-12-11T09:28:17.742744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 30
 
13.7%
업 10
 
4.6%
유 6
 
2.7%
금 6
 
2.7%
스 6
 
2.7%
성 6
 
2.7%
아 5
 
2.3%
삼 5
 
2.3%
탈 5
 
2.3%
메 5
 
2.3%
Other values (81) 135
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
80.4%
Other Symbol 30
 
13.7%
Uppercase Letter 5
 
2.3%
Space Separator 3
 
1.4%
Open Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 10
 
5.7%
유 6
 
3.4%
금 6
 
3.4%
스 6
 
3.4%
성 6
 
3.4%
아 5
 
2.8%
삼 5
 
2.8%
탈 5
 
2.8%
메 5
 
2.8%
동 5
 
2.8%
Other values (71) 117
66.5%
Uppercase Letter
ValueCountFrequency (%)
H 1
20.0%
K 1
20.0%
G 1
20.0%
B 1
20.0%
M 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 30
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
94.1%
Common 8
 
3.7%
Latin 5
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 30
 
14.6%
업 10
 
4.9%
유 6
 
2.9%
금 6
 
2.9%
스 6
 
2.9%
성 6
 
2.9%
아 5
 
2.4%
삼 5
 
2.4%
탈 5
 
2.4%
메 5
 
2.4%
Other values (72) 122
59.2%
Latin
ValueCountFrequency (%)
H 1
20.0%
K 1
20.0%
G 1
20.0%
B 1
20.0%
M 1
20.0%
Common
ValueCountFrequency (%)
3
37.5%
( 2
25.0%
) 2
25.0%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
80.4%
None 30
 
13.7%
ASCII 13
 
5.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 30
100.0%
Hangul
ValueCountFrequency (%)
업 10
 
5.7%
유 6
 
3.4%
금 6
 
3.4%
스 6
 
3.4%
성 6
 
3.4%
아 5
 
2.8%
삼 5
 
2.8%
탈 5
 
2.8%
메 5
 
2.8%
동 5
 
2.8%
Other values (71) 117
66.5%
ASCII
ValueCountFrequency (%)
3
23.1%
( 2
15.4%
) 2
15.4%
2 1
 
7.7%
H 1
 
7.7%
K 1
 
7.7%
G 1
 
7.7%
B 1
 
7.7%
M 1
 
7.7%

전화
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T09:28:17.993925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique33 ?
Unique (%)91.7%

Sample

1st row055-329-1600
2nd row055-328-6951
3rd row055-346-1100
4th row055-329-4100
5th row055-323-5615
ValueCountFrequency (%)
055-327-5007 3
 
8.3%
055-345-9555 1
 
2.8%
055-323-9561 1
 
2.8%
055-339-9931 1
 
2.8%
055-329-1067 1
 
2.8%
055-346-4224 1
 
2.8%
055-329-6195 1
 
2.8%
055-320-7907 1
 
2.8%
055-323-8072 1
 
2.8%
055-343-1266 1
 
2.8%
Other values (24) 24
66.7%
2023-12-11T09:28:18.446619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 94
21.8%
- 72
16.7%
0 59
13.7%
3 57
13.2%
2 38
8.8%
4 24
 
5.6%
1 23
 
5.3%
6 21
 
4.9%
9 20
 
4.6%
7 13
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 94
26.1%
0 59
16.4%
3 57
15.8%
2 38
10.6%
4 24
 
6.7%
1 23
 
6.4%
6 21
 
5.8%
9 20
 
5.6%
7 13
 
3.6%
8 11
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 94
21.8%
- 72
16.7%
0 59
13.7%
3 57
13.2%
2 38
8.8%
4 24
 
5.6%
1 23
 
5.3%
6 21
 
4.9%
9 20
 
4.6%
7 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 94
21.8%
- 72
16.7%
0 59
13.7%
3 57
13.2%
2 38
8.8%
4 24
 
5.6%
1 23
 
5.3%
6 21
 
4.9%
9 20
 
4.6%
7 13
 
3.0%

도로명주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T09:28:18.713681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length25.611111
Min length21

Characters and Unicode

Total characters922
Distinct characters61
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

Unique33 ?
Unique (%)91.7%

Sample

1st row경상남도 김해시 주촌면 서부로1541번안길 79
2nd row경상남도 김해시 주촌면 서부로1499번길 113-22
3rd row경상남도 김해시 한림면 안곡로 265
4th row경상남도 김해시 생림면 나전로 102
5th row경상남도 김해시 상동면 상동로685번길 140
ValueCountFrequency (%)
경상남도 36
20.7%
김해시 36
20.7%
생림면 7
 
4.0%
상동면 6
 
3.4%
주촌면 6
 
3.4%
진영읍 4
 
2.3%
한림면 4
 
2.3%
진례면 3
 
1.7%
나전로 3
 
1.7%
상동로 3
 
1.7%
Other values (60) 66
37.9%
2023-12-11T09:28:19.130501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
21.7%
1 49
 
5.3%
상 46
 
5.0%
김 42
 
4.6%
해 42
 
4.6%
시 36
 
3.9%
로 36
 
3.9%
경 36
 
3.9%
도 36
 
3.9%
남 36
 
3.9%
Other values (51) 363
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
54.8%
Space Separator 200
 
21.7%
Decimal Number 195
 
21.1%
Dash Punctuation 20
 
2.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 46
 
9.1%
김 42
 
8.3%
해 42
 
8.3%
시 36
 
7.1%
로 36
 
7.1%
경 36
 
7.1%
도 36
 
7.1%
남 36
 
7.1%
면 26
 
5.1%
길 21
 
4.2%
Other values (37) 148
29.3%
Decimal Number
ValueCountFrequency (%)
1 49
25.1%
2 27
13.8%
5 18
 
9.2%
4 17
 
8.7%
3 17
 
8.7%
7 17
 
8.7%
8 15
 
7.7%
0 13
 
6.7%
6 12
 
6.2%
9 10
 
5.1%
Space Separator
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
54.8%
Common 417
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 46
 
9.1%
김 42
 
8.3%
해 42
 
8.3%
시 36
 
7.1%
로 36
 
7.1%
경 36
 
7.1%
도 36
 
7.1%
남 36
 
7.1%
면 26
 
5.1%
길 21
 
4.2%
Other values (37) 148
29.3%
Common
ValueCountFrequency (%)
200
48.0%
1 49
 
11.8%
2 27
 
6.5%
- 20
 
4.8%
5 18
 
4.3%
4 17
 
4.1%
3 17
 
4.1%
7 17
 
4.1%
8 15
 
3.6%
0 13
 
3.1%
Other values (4) 24
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
54.8%
ASCII 417
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
48.0%
1 49
 
11.8%
2 27
 
6.5%
- 20
 
4.8%
5 18
 
4.3%
4 17
 
4.1%
3 17
 
4.1%
7 17
 
4.1%
8 15
 
3.6%
0 13
 
3.1%
Other values (4) 24
 
5.8%
Hangul
ValueCountFrequency (%)
상 46
 
9.1%
김 42
 
8.3%
해 42
 
8.3%
시 36
 
7.1%
로 36
 
7.1%
경 36
 
7.1%
도 36
 
7.1%
남 36
 
7.1%
면 26
 
5.1%
길 21
 
4.2%
Other values (37) 148
29.3%

생산품목
Text

Distinct25
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T09:28:19.325318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.1111111
Min length2

Characters and Unicode

Total characters184
Distinct characters69
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)58.3%

Sample

1st row주강품
2nd row알루미늄괴
3rd row아스콘
4th row아스콘
5th row면및방식용테이프
ValueCountFrequency (%)
알루미늄 10
21.3%
괴 6
 
12.8%
아스콘 4
 
8.5%
잉곳 3
 
6.4%
알루미늄괴 3
 
6.4%
코팅사 1
 
2.1%
주강품 1
 
2.1%
아연생산 1
 
2.1%
케미시트 1
 
2.1%
선박구성부분품 1
 
2.1%
Other values (16) 16
34.0%
2023-12-11T09:28:19.623526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 15
 
8.2%
루 14
 
7.6%
알 13
 
7.1%
늄 13
 
7.1%
11
 
6.0%
괴 11
 
6.0%
아 9
 
4.9%
콘 5
 
2.7%
연 5
 
2.7%
잉 4
 
2.2%
Other values (59) 84
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167
90.8%
Space Separator 11
 
6.0%
Other Punctuation 3
 
1.6%
Uppercase Letter 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 15
 
9.0%
루 14
 
8.4%
알 13
 
7.8%
늄 13
 
7.8%
괴 11
 
6.6%
아 9
 
5.4%
콘 5
 
3.0%
연 5
 
3.0%
잉 4
 
2.4%
품 4
 
2.4%
Other values (54) 74
44.3%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
M 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167
90.8%
Common 14
 
7.6%
Latin 3
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 15
 
9.0%
루 14
 
8.4%
알 13
 
7.8%
늄 13
 
7.8%
괴 11
 
6.6%
아 9
 
5.4%
콘 5
 
3.0%
연 5
 
3.0%
잉 4
 
2.4%
품 4
 
2.4%
Other values (54) 74
44.3%
Latin
ValueCountFrequency (%)
F 1
33.3%
M 1
33.3%
D 1
33.3%
Common
ValueCountFrequency (%)
11
78.6%
, 3
 
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167
90.8%
ASCII 17
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 15
 
9.0%
루 14
 
8.4%
알 13
 
7.8%
늄 13
 
7.8%
괴 11
 
6.6%
아 9
 
5.4%
콘 5
 
3.0%
연 5
 
3.0%
잉 4
 
2.4%
품 4
 
2.4%
Other values (54) 74
44.3%
ASCII
ValueCountFrequency (%)
11
64.7%
, 3
 
17.6%
F 1
 
5.9%
M 1
 
5.9%
D 1
 
5.9%

사용연료
Categorical

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
이온정제유
13 
B-C유
9 
B-C유, 이온정제유
3 
B-A유
2 
부생연료유1호
2 
Other values (7)
7 

Length

Max length13
Median length11
Mean length6.1111111
Min length4

Unique

Unique7 ?
Unique (%)19.4%

Sample

1st rowB-C유
2nd rowB-C유, 이온정제유
3rd rowB-C유
4th rowB-C유
5th rowB-C유

Common Values

ValueCountFrequency (%)
이온정제유 13
36.1%
B-C유 9
25.0%
B-C유, 이온정제유 3
 
8.3%
B-A유 2
 
5.6%
부생연료유1호 2
 
5.6%
B-B유 1
 
2.8%
B-A유, 전기 1
 
2.8%
B-A유, LPG, 경유 1
 
2.8%
B-A유, 부생연료유2호 1
 
2.8%
부생연료유2호 1
 
2.8%
Other values (2) 2
 
5.6%

Length

2023-12-11T09:28:19.760913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이온정제유 17
37.8%
b-c유 12
26.7%
b-a유 5
 
11.1%
부생연료유1호 2
 
4.4%
부생연료유2호 2
 
4.4%
b-b유 1
 
2.2%
전기 1
 
2.2%
lpg 1
 
2.2%
경유 1
 
2.2%
부생연료유 1
 
2.2%
Other values (2) 2
 
4.4%

연료사용량
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T09:28:19.940897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.25
Min length5

Characters and Unicode

Total characters261
Distinct characters21
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)91.7%

Sample

1st row82.8ℓ/시
2nd row2.4㎘/일
3rd row460ℓ/시
4th row340ℓ/시
5th row30ℓ/시
ValueCountFrequency (%)
70ℓ/시 3
 
7.5%
110ℓ/시 2
 
5.0%
82.8ℓ/시 1
 
2.5%
476ℓ/시 1
 
2.5%
350ℓ/일 1
 
2.5%
320ℓ/시 1
 
2.5%
65ℓ/시 1
 
2.5%
240ℓ/일 1
 
2.5%
90ℓ/시 1
 
2.5%
2.4㎘/일 1
 
2.5%
Other values (27) 27
67.5%
2023-12-11T09:28:20.268102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 40
15.3%
ℓ 35
13.4%
시 32
12.3%
0 29
11.1%
2 18
 
6.9%
1 18
 
6.9%
. 12
 
4.6%
3 11
 
4.2%
5 10
 
3.8%
4 9
 
3.4%
Other values (11) 47
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 119
45.6%
Other Punctuation 56
21.5%
Other Letter 40
 
15.3%
Lowercase Letter 39
 
14.9%
Space Separator 4
 
1.5%
Other Symbol 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29
24.4%
2 18
15.1%
1 18
15.1%
3 11
 
9.2%
5 10
 
8.4%
4 9
 
7.6%
7 8
 
6.7%
6 7
 
5.9%
8 6
 
5.0%
9 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 40
71.4%
. 12
 
21.4%
, 4
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
ℓ 35
89.7%
k 2
 
5.1%
g 2
 
5.1%
Other Letter
ValueCountFrequency (%)
시 32
80.0%
일 8
 
20.0%
Other Symbol
ValueCountFrequency (%)
㎘ 2
66.7%
㎥ 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
83.1%
Hangul 40
 
15.3%
Latin 4
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 40
18.4%
ℓ 35
16.1%
0 29
13.4%
2 18
8.3%
1 18
8.3%
. 12
 
5.5%
3 11
 
5.1%
5 10
 
4.6%
4 9
 
4.1%
7 8
 
3.7%
Other values (7) 27
12.4%
Hangul
ValueCountFrequency (%)
시 32
80.0%
일 8
 
20.0%
Latin
ValueCountFrequency (%)
k 2
50.0%
g 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
70.1%
Hangul 40
 
15.3%
Letterlike Symbols 35
 
13.4%
CJK Compat 3
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 40
21.9%
0 29
15.8%
2 18
9.8%
1 18
9.8%
. 12
 
6.6%
3 11
 
6.0%
5 10
 
5.5%
4 9
 
4.9%
7 8
 
4.4%
6 7
 
3.8%
Other values (6) 21
11.5%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 35
100.0%
Hangul
ValueCountFrequency (%)
시 32
80.0%
일 8
 
20.0%
CJK Compat
ValueCountFrequency (%)
㎘ 2
66.7%
㎥ 1
33.3%

Correlations

2023-12-11T09:28:20.358686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명전화도로명주소생산품목사용연료연료사용량
업체명1.0001.0001.0000.9950.9760.975
전화1.0001.0001.0000.9950.9760.975
도로명주소1.0001.0001.0000.9950.9760.975
생산품목0.9950.9950.9951.0000.9680.976
사용연료0.9760.9760.9760.9681.0000.964
연료사용량0.9750.9750.9750.9760.9641.000

Missing values

2023-12-11T09:28:16.956574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:28:17.098301image/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

업체명전화도로명주소생산품목사용연료연료사용량
0대방스페샬스틸㈜055-329-1600경상남도 김해시 주촌면 서부로1541번안길 79주강품B-C유82.8ℓ/시
1삼오메탈주식회사055-328-6951경상남도 김해시 주촌면 서부로1499번길 113-22알루미늄괴B-C유, 이온정제유2.4㎘/일
2한통아스콘㈜055-346-1100경상남도 김해시 한림면 안곡로 265아스콘B-C유460ℓ/시
3㈜삼광아스콘055-329-4100경상남도 김해시 생림면 나전로 102아스콘B-C유340ℓ/시
4일진테이프㈜055-323-5615경상남도 김해시 상동면 상동로685번길 140면및방식용테이프B-C유30ℓ/시
5㈜유성기업055-327-5007경상남도 김해시 상동면 상동로 148-10알루미늄괴B-C유240ℓ/시
6동헌산업㈜ 주촌지점055-336-2925경상남도 김해시 주촌면 서부로1403번길 48아스콘B-C유1200ℓ/시
7㈜세경055-345-9601경상남도 김해시 진영읍 김해대로 112레미콘, 아스콘B-C유2700ℓ/시
8㈜알코에스앤티055-322-8200경상남도 김해시 생림면 인제로611번길 7-16기계부품B-C유83.6ℓ/시
9㈜유성기업055-327-5007경상남도 김해시 상동면 상동로 148-10알루미늄괴B-C유, 이온정제유15ℓ/시
업체명전화도로명주소생산품목사용연료연료사용량
26㈜두인055-323-8072경상남도 김해시 생림면 나전로 87-12알루미늄 잉곳이온정제유70ℓ/시
27㈜HKM055-323-9859경상남도 김해시 상동면 묵방로120번길 20알루미늄 괴이온정제유1520ℓ/일
28해광메탈㈜055-345-9555경상남도 김해시 생림면 마사로 20-23알루미늄 괴이온정제유1.2㎘/일
29㈜호경055-329-6195경상남도 김해시 생림면 나전로 87-13알루미늄 괴이온정제유90ℓ/시
30㈜유성기업055-327-5007경상남도 김해시 상동면 상동로 148-10알루미늄 괴B-C유, 이온정제유240ℓ/일
31㈜비에스씨055-346-4224경상남도 김해시 진영읍 본산로212번길 26-1황산아연이온정제유65ℓ/시
32삼성금속㈜제2공장055-329-1067경상남도 김해시 주촌면 서부로1541번안길 86선박구성부분품이온정제유320ℓ/시
33화도산업055-339-9931경상남도 김해시 상동면 묵방로155번길 13케미시트이온정제유350ℓ/일
34㈜건영테크055-323-9561경상남도 김해시 생림면 봉림로 115-7알루미늄 괴이온정제유476ℓ/시
35동성산업(주)055-323-3482경상남도 김해시 생림면 장재로 377-26알루미늄 용해이온정제유131ℓ/시