Overview

Dataset statistics

Number of variables7
Number of observations388
Missing cells309
Missing cells (%)11.4%
Duplicate rows3
Duplicate rows (%)0.8%
Total size in memory21.3 KiB
Average record size in memory56.3 B

Variable types

Categorical3
Text4

Dataset

Description김해시 고압가스 판매업체 현황에 대한 데이터로 업태구분명,제조구분명,사업장명,영업상태명,전화번호,지번주소,도로명주소 항목을 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033390/fileData.do

Alerts

Dataset has 3 (0.8%) duplicate rowsDuplicates
업태구분명 is highly overall correlated with 제조구분명High correlation
제조구분명 is highly overall correlated with 업태구분명High correlation
전화번호 has 189 (48.7%) missing valuesMissing
지번주소 has 11 (2.8%) missing valuesMissing
도로명주소 has 109 (28.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:59:03.673345
Analysis finished2023-12-12 20:59:04.509204
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업태구분명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
판매
147 
제조
125 
저장소
116 

Length

Max length3
Median length2
Mean length2.2989691
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조
2nd row제조
3rd row제조
4th row저장소
5th row제조

Common Values

ValueCountFrequency (%)
판매 147
37.9%
제조 125
32.2%
저장소 116
29.9%

Length

2023-12-13T05:59:04.585848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:05.027083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매 147
37.9%
제조 125
32.2%
저장소 116
29.9%

제조구분명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
156 
일반
115 
냉동
84 
충전
33 

Length

Max length4
Median length2
Mean length2.8041237
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충전
2nd row냉동
3rd row냉동
4th row<NA>
5th row냉동

Common Values

ValueCountFrequency (%)
<NA> 156
40.2%
일반 115
29.6%
냉동 84
21.6%
충전 33
 
8.5%

Length

2023-12-13T05:59:05.157061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:05.296723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
40.2%
일반 115
29.6%
냉동 84
21.6%
충전 33
 
8.5%

사업장명
Text

Distinct348
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T05:59:05.532425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length7.8273196
Min length3

Characters and Unicode

Total characters3037
Distinct characters289
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

Unique310 ?
Unique (%)79.9%

Sample

1st row다인마린(주)
2nd row(주)빙그레
3rd row(주)흥아포밍
4th row(주)조일금속
5th row(주)삼룡산업
ValueCountFrequency (%)
부경양돈협동조합 6
 
1.4%
아진종합가스 3
 
0.7%
부경축산물공판장 3
 
0.7%
주)엠에스동남산업가스 3
 
0.7%
대웅산업 2
 
0.5%
주)우진가스텍 2
 
0.5%
한일국제(주 2
 
0.5%
대한종합가스(주 2
 
0.5%
명성금속(주 2
 
0.5%
주)제일에너지 2
 
0.5%
Other values (353) 391
93.5%
2023-12-13T05:59:05.899463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 241
 
7.9%
) 241
 
7.9%
주 228
 
7.5%
스 156
 
5.1%
가 111
 
3.7%
산 66
 
2.2%
에 64
 
2.1%
합 59
 
1.9%
업 57
 
1.9%
동 51
 
1.7%
Other values (279) 1763
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2468
81.3%
Open Punctuation 241
 
7.9%
Close Punctuation 241
 
7.9%
Uppercase Letter 43
 
1.4%
Space Separator 30
 
1.0%
Decimal Number 11
 
0.4%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 228
 
9.2%
스 156
 
6.3%
가 111
 
4.5%
산 66
 
2.7%
에 64
 
2.6%
합 59
 
2.4%
업 57
 
2.3%
동 51
 
2.1%
종 48
 
1.9%
해 45
 
1.8%
Other values (253) 1583
64.1%
Uppercase Letter
ValueCountFrequency (%)
S 10
23.3%
B 4
 
9.3%
M 4
 
9.3%
H 3
 
7.0%
I 3
 
7.0%
P 3
 
7.0%
C 3
 
7.0%
D 2
 
4.7%
L 2
 
4.7%
K 2
 
4.7%
Other values (6) 7
16.3%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
2 3
27.3%
9 2
 
18.2%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2468
81.3%
Common 526
 
17.3%
Latin 43
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 228
 
9.2%
스 156
 
6.3%
가 111
 
4.5%
산 66
 
2.7%
에 64
 
2.6%
합 59
 
2.4%
업 57
 
2.3%
동 51
 
2.1%
종 48
 
1.9%
해 45
 
1.8%
Other values (253) 1583
64.1%
Latin
ValueCountFrequency (%)
S 10
23.3%
B 4
 
9.3%
M 4
 
9.3%
H 3
 
7.0%
I 3
 
7.0%
P 3
 
7.0%
C 3
 
7.0%
D 2
 
4.7%
L 2
 
4.7%
K 2
 
4.7%
Other values (6) 7
16.3%
Common
ValueCountFrequency (%)
( 241
45.8%
) 241
45.8%
30
 
5.7%
1 5
 
1.0%
2 3
 
0.6%
9 2
 
0.4%
4 1
 
0.2%
- 1
 
0.2%
, 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2468
81.3%
ASCII 569
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 241
42.4%
) 241
42.4%
30
 
5.3%
S 10
 
1.8%
1 5
 
0.9%
B 4
 
0.7%
M 4
 
0.7%
2 3
 
0.5%
H 3
 
0.5%
I 3
 
0.5%
Other values (16) 25
 
4.4%
Hangul
ValueCountFrequency (%)
주 228
 
9.2%
스 156
 
6.3%
가 111
 
4.5%
산 66
 
2.7%
에 64
 
2.6%
합 59
 
2.4%
업 57
 
2.3%
동 51
 
2.1%
종 48
 
1.9%
해 45
 
1.8%
Other values (253) 1583
64.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업
302 
폐업
77 
휴업
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 302
77.8%
폐업 77
 
19.8%
휴업 9
 
2.3%

Length

2023-12-13T05:59:06.058594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:06.162808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 302
77.8%
폐업 77
 
19.8%
휴업 9
 
2.3%

전화번호
Text

MISSING 

Distinct170
Distinct (%)85.4%
Missing189
Missing (%)48.7%
Memory size3.2 KiB
2023-12-13T05:59:06.423619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.949749
Min length9

Characters and Unicode

Total characters2378
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

Unique144 ?
Unique (%)72.4%

Sample

1st row055-311-6100
2nd row055-340-2200
3rd row055-310-2300
4th row055-335-1151
5th row055-342-4712
ValueCountFrequency (%)
055-342-0389 3
 
1.5%
055-321-0888 3
 
1.5%
1661-2000 3
 
1.5%
055-723-2656 2
 
1.0%
055-344-6100 2
 
1.0%
055-342-7111 2
 
1.0%
055-330-6671 2
 
1.0%
055-342-2551 2
 
1.0%
055-337-6983 2
 
1.0%
055-345-0013 2
 
1.0%
Other values (160) 176
88.4%
2023-12-13T05:59:06.837333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 476
20.0%
- 394
16.6%
0 392
16.5%
3 321
13.5%
2 171
 
7.2%
1 166
 
7.0%
4 153
 
6.4%
6 98
 
4.1%
7 82
 
3.4%
9 63
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1984
83.4%
Dash Punctuation 394
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 476
24.0%
0 392
19.8%
3 321
16.2%
2 171
 
8.6%
1 166
 
8.4%
4 153
 
7.7%
6 98
 
4.9%
7 82
 
4.1%
9 63
 
3.2%
8 62
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 476
20.0%
- 394
16.6%
0 392
16.5%
3 321
13.5%
2 171
 
7.2%
1 166
 
7.0%
4 153
 
6.4%
6 98
 
4.1%
7 82
 
3.4%
9 63
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 476
20.0%
- 394
16.6%
0 392
16.5%
3 321
13.5%
2 171
 
7.2%
1 166
 
7.0%
4 153
 
6.4%
6 98
 
4.1%
7 82
 
3.4%
9 63
 
2.6%

지번주소
Text

MISSING 

Distinct196
Distinct (%)52.0%
Missing11
Missing (%)2.8%
Memory size3.2 KiB
2023-12-13T05:59:07.084247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length22.771883
Min length16

Characters and Unicode

Total characters8585
Distinct characters116
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

Unique114 ?
Unique (%)30.2%

Sample

1st row경상남도 김해시 어방동 ****-*번지
2nd row경상남도 김해시 한림면 병동리 ****-*번지
3rd row경상남도 김해시 주촌면 망덕리 ***-*
4th row경상남도 김해시 지내동 ***-*번지
5th row경상남도 김해시 부곡동 ***-**번지
ValueCountFrequency (%)
경상남도 377
20.6%
김해시 377
20.6%
번지 308
16.9%
진영읍 86
 
4.7%
한림면 61
 
3.3%
58
 
3.2%
본산리 47
 
2.6%
생림면 47
 
2.6%
주촌면 36
 
2.0%
진례면 29
 
1.6%
Other values (95) 400
21.9%
2023-12-13T05:59:07.474115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1526
17.8%
1449
16.9%
상 400
 
4.7%
김 379
 
4.4%
해 379
 
4.4%
시 378
 
4.4%
경 377
 
4.4%
남 377
 
4.4%
도 377
 
4.4%
지 345
 
4.0%
Other values (106) 2598
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5327
62.1%
Other Punctuation 1531
 
17.8%
Space Separator 1449
 
16.9%
Dash Punctuation 267
 
3.1%
Uppercase Letter 7
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 400
 
7.5%
김 379
 
7.1%
해 379
 
7.1%
시 378
 
7.1%
경 377
 
7.1%
남 377
 
7.1%
도 377
 
7.1%
지 345
 
6.5%
번 317
 
6.0%
리 284
 
5.3%
Other values (97) 1714
32.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
42.9%
B 3
42.9%
A 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1526
99.7%
, 5
 
0.3%
Space Separator
ValueCountFrequency (%)
1449
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 267
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5327
62.1%
Common 3251
37.9%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 400
 
7.5%
김 379
 
7.1%
해 379
 
7.1%
시 378
 
7.1%
경 377
 
7.1%
남 377
 
7.1%
도 377
 
7.1%
지 345
 
6.5%
번 317
 
6.0%
리 284
 
5.3%
Other values (97) 1714
32.2%
Common
ValueCountFrequency (%)
* 1526
46.9%
1449
44.6%
- 267
 
8.2%
, 5
 
0.2%
( 2
 
0.1%
) 2
 
0.1%
Latin
ValueCountFrequency (%)
L 3
42.9%
B 3
42.9%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5327
62.1%
ASCII 3258
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1526
46.8%
1449
44.5%
- 267
 
8.2%
, 5
 
0.2%
L 3
 
0.1%
B 3
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
A 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
상 400
 
7.5%
김 379
 
7.1%
해 379
 
7.1%
시 378
 
7.1%
경 377
 
7.1%
남 377
 
7.1%
도 377
 
7.1%
지 345
 
6.5%
번 317
 
6.0%
리 284
 
5.3%
Other values (97) 1714
32.2%

도로명주소
Text

MISSING 

Distinct160
Distinct (%)57.3%
Missing109
Missing (%)28.1%
Memory size3.2 KiB
2023-12-13T05:59:07.717204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length24.046595
Min length19

Characters and Unicode

Total characters6709
Distinct characters104
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

Unique113 ?
Unique (%)40.5%

Sample

1st row경상남도 김해시 분성로***번길 **-* (어방동)
2nd row경상남도 김해시 한림면 고모로 ***
3rd row경상남도 김해시 주촌면 골든루트로***번길 **
4th row경상남도 김해시 김해대로 **** (지내동)
5th row경상남도 김해시 주촌면 서부로****번길 **-**
ValueCountFrequency (%)
경상남도 279
20.0%
김해시 279
20.0%
279
20.0%
진영읍 63
 
4.5%
한림면 44
 
3.1%
생림면 34
 
2.4%
주촌면 32
 
2.3%
서부로****번길 23
 
1.6%
진례면 20
 
1.4%
김해대로 17
 
1.2%
Other values (104) 328
23.5%
2023-12-13T05:59:08.132186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1364
20.3%
1122
16.7%
해 316
 
4.7%
김 314
 
4.7%
상 303
 
4.5%
남 280
 
4.2%
시 280
 
4.2%
경 279
 
4.2%
도 279
 
4.2%
로 275
 
4.1%
Other values (94) 1897
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3989
59.5%
Other Punctuation 1365
 
20.3%
Space Separator 1122
 
16.7%
Dash Punctuation 111
 
1.7%
Open Punctuation 61
 
0.9%
Close Punctuation 61
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 316
 
7.9%
김 314
 
7.9%
상 303
 
7.6%
남 280
 
7.0%
시 280
 
7.0%
경 279
 
7.0%
도 279
 
7.0%
로 275
 
6.9%
면 158
 
4.0%
길 148
 
3.7%
Other values (86) 1357
34.0%
Other Punctuation
ValueCountFrequency (%)
* 1364
99.9%
, 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 60
98.4%
[ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 60
98.4%
] 1
 
1.6%
Space Separator
ValueCountFrequency (%)
1122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3989
59.5%
Common 2720
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 316
 
7.9%
김 314
 
7.9%
상 303
 
7.6%
남 280
 
7.0%
시 280
 
7.0%
경 279
 
7.0%
도 279
 
7.0%
로 275
 
6.9%
면 158
 
4.0%
길 148
 
3.7%
Other values (86) 1357
34.0%
Common
ValueCountFrequency (%)
* 1364
50.1%
1122
41.2%
- 111
 
4.1%
( 60
 
2.2%
) 60
 
2.2%
[ 1
 
< 0.1%
, 1
 
< 0.1%
] 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3989
59.5%
ASCII 2720
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1364
50.1%
1122
41.2%
- 111
 
4.1%
( 60
 
2.2%
) 60
 
2.2%
[ 1
 
< 0.1%
, 1
 
< 0.1%
] 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
해 316
 
7.9%
김 314
 
7.9%
상 303
 
7.6%
남 280
 
7.0%
시 280
 
7.0%
경 279
 
7.0%
도 279
 
7.0%
로 275
 
6.9%
면 158
 
4.0%
길 148
 
3.7%
Other values (86) 1357
34.0%

Correlations

2023-12-13T05:59:08.242896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명제조구분명영업상태명
업태구분명1.0000.9090.304
제조구분명0.9091.0000.196
영업상태명0.3040.1961.000
2023-12-13T05:59:08.336578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명영업상태명제조구분명
업태구분명1.0000.1030.632
영업상태명0.1031.0000.061
제조구분명0.6320.0611.000
2023-12-13T05:59:08.414665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태구분명제조구분명영업상태명
업태구분명1.0000.6320.103
제조구분명0.6321.0000.061
영업상태명0.1030.0611.000

Missing values

2023-12-13T05:59:04.143381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:59:04.325989image/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.
2023-12-13T05:59:04.441172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업태구분명제조구분명사업장명영업상태명전화번호지번주소도로명주소
0제조충전다인마린(주)영업055-311-6100경상남도 김해시 어방동 ****-*번지경상남도 김해시 분성로***번길 **-* (어방동)
1제조냉동(주)빙그레영업055-340-2200경상남도 김해시 한림면 병동리 ****-*번지경상남도 김해시 한림면 고모로 ***
2제조냉동(주)흥아포밍영업055-310-2300경상남도 김해시 주촌면 망덕리 ***-*경상남도 김해시 주촌면 골든루트로***번길 **
3저장소<NA>(주)조일금속영업055-335-1151경상남도 김해시 지내동 ***-*번지경상남도 김해시 김해대로 **** (지내동)
4제조냉동(주)삼룡산업영업<NA>경상남도 김해시 부곡동 ***-**번지경상남도 김해시 주촌면 서부로****번길 **-**
5판매<NA>네츄럴브리즈영업<NA>경상남도 김해시 생림면 생철리 ***-*번지경상남도 김해시 생림면 마사로 **
6제조냉동(주)성진테크영업055-342-4712경상남도 김해시 진영읍 죽곡리 *-*번지경상남도 김해시 진영읍 서부로***번길 **-**
7판매일반합동종합가스영업055-345-3199경상남도 김해시 진례면 담안리 ***-*경상남도 김해시 진례면 고모로 ***
8판매일반진례가스영업<NA>경상남도 김해시 진례면 송정리 ***-*번지경상남도 김해시 진례면 송현로 **
9판매일반새음종합가스영업055-342-7447경상남도 김해시 한림면 장방리 ***-*번지경상남도 김해시 한림면 장방로 ***-*
업태구분명제조구분명사업장명영업상태명전화번호지번주소도로명주소
378제조냉동(주)거양폐업<NA>경상남도 김해시 진영읍 죽곡리 ***번지<NA>
379저장소<NA>케이엠중공업(주)폐업<NA>경상남도 김해시 생림면 나전리 ***번지<NA>
380판매<NA>(주)티알에스폐업<NA>경상남도 김해시 진영읍 본산리 ***-**번지<NA>
381제조냉동(주)거양 김해공장폐업<NA>경상남도 김해시 진영읍 죽곡리 ***번지<NA>
382판매일반한림가스휴업055-342-7111경상남도 김해시 한림면 명동리 **-**번지<NA>
383저장소일반오성단조공업(주)휴업055-343-0964경상남도 김해시 한림면 신천리 ***-**번지<NA>
384제조냉동대창종합열처리(주)휴업<NA>경상남도 김해시 한림면 가산리 ***<NA>
385저장소일반대륭씨앤에이(주)휴업<NA>경상남도 김해시 생림면 생림리 ***-*외 *필지<NA>
386판매<NA>영재가스휴업055-334-9983경상남도 김해시 생림면 나전리 **-**번지<NA>
387판매<NA>원진산업가스휴업<NA>경상남도 김해시 진영읍 하계리 ***-*번지<NA>

Duplicate rows

Most frequently occurring

업태구분명제조구분명사업장명영업상태명전화번호지번주소도로명주소# duplicates
0제조냉동(주)부일인쇄영업055-337-6983경상남도 김해시 주촌면 망덕리 ***외 *필지경상남도 김해시 주촌면 서부로****번길 **-**2
1제조냉동삼성테스코(주) 홈플러스 김해점폐업<NA>경상남도 김해시 내동 ****-*번지경상남도 김해시 김해대로 **** (내동)2
2판매일반아진종합가스폐업<NA>경상남도 김해시 어방동 ****-**번지경상남도 김해시 분성로 *** (어방동)2