Overview

Dataset statistics

Number of variables10
Number of observations63
Missing cells3
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory82.1 B

Variable types

Categorical3
Text5
DateTime2

Dataset

Description제주특별자치도에 소재하고 있는 해운항만 운송 사업체 관련한 데이터로 항별, 업종, 세부업종, 등록번호, 업체명, 등록일, 전화번호 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056349/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
항별 is highly overall correlated with 세부업종High correlation
세부업종 is highly overall correlated with 항별High correlation
전화번호 has 1 (1.6%) missing valuesMissing
팩스번호 has 2 (3.2%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:52:10.892149
Analysis finished2023-12-12 08:52:11.763026
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

항별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
제주항
35 
서귀포항
20 
제2조제3항 각호의 항만시설
8 

Length

Max length15
Median length3
Mean length4.8412698
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주항 35
55.6%
서귀포항 20
31.7%
제2조제3항 각호의 항만시설 8
 
12.7%

Length

2023-12-12T17:52:11.835548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:11.947781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주항 35
44.3%
서귀포항 20
25.3%
제2조제3항 8
 
10.1%
각호의 8
 
10.1%
항만시설 8
 
10.1%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
항만운송관련사업
63 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
항만운송관련사업 63
100.0%

Length

2023-12-12T17:52:12.059986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:12.159998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항만운송관련사업 63
100.0%

세부업종
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
항만용역업
37 
선박연료공급업
10 
선박수리업
9 
선용품공급업
7 

Length

Max length7
Median length5
Mean length5.4285714
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
항만용역업 37
58.7%
선박연료공급업 10
 
15.9%
선박수리업 9
 
14.3%
선용품공급업 7
 
11.1%

Length

2023-12-12T17:52:12.278471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:12.432700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
항만용역업 37
58.7%
선박연료공급업 10
 
15.9%
선박수리업 9
 
14.3%
선용품공급업 7
 
11.1%

등록번호
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T17:52:12.705088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters504
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st rowJJR-1001
2nd rowJJR-1002
3rd rowJJR-1005
4th rowJJR-2002
5th rowJJR-2005
ValueCountFrequency (%)
jjr-1001 1
 
1.6%
jjy-2004 1
 
1.6%
jjy-2006 1
 
1.6%
jjo-2002 1
 
1.6%
jjo-2004 1
 
1.6%
jjo-2008 1
 
1.6%
jjo-2013 1
 
1.6%
jjo-2014 1
 
1.6%
jjo-2016 1
 
1.6%
jjo-2018 1
 
1.6%
Other values (53) 53
84.1%
2023-12-12T17:52:13.080713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
J 126
25.0%
0 92
18.3%
2 69
13.7%
- 63
12.5%
R 37
 
7.3%
1 24
 
4.8%
5 16
 
3.2%
4 15
 
3.0%
3 11
 
2.2%
U 10
 
2.0%
Other values (6) 41
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
50.0%
Uppercase Letter 189
37.5%
Dash Punctuation 63
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
36.5%
2 69
27.4%
1 24
 
9.5%
5 16
 
6.3%
4 15
 
6.0%
3 11
 
4.4%
6 8
 
3.2%
7 7
 
2.8%
8 6
 
2.4%
9 4
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
J 126
66.7%
R 37
 
19.6%
U 10
 
5.3%
Y 9
 
4.8%
O 7
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 315
62.5%
Latin 189
37.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
29.2%
2 69
21.9%
- 63
20.0%
1 24
 
7.6%
5 16
 
5.1%
4 15
 
4.8%
3 11
 
3.5%
6 8
 
2.5%
7 7
 
2.2%
8 6
 
1.9%
Latin
ValueCountFrequency (%)
J 126
66.7%
R 37
 
19.6%
U 10
 
5.3%
Y 9
 
4.8%
O 7
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
J 126
25.0%
0 92
18.3%
2 69
13.7%
- 63
12.5%
R 37
 
7.3%
1 24
 
4.8%
5 16
 
3.2%
4 15
 
3.0%
3 11
 
2.2%
U 10
 
2.0%
Other values (6) 41
 
8.1%

업체명
Text

Distinct46
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T17:52:13.288303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.7777778
Min length4

Characters and Unicode

Total characters427
Distinct characters115
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)47.6%

Sample

1st row동성운수사
2nd row선박급수사
3rd row제주시수산업협동조합
4th row제주국제판토스㈜
5th row(유)클린서비스보금자리
ValueCountFrequency (%)
제주국제판토스㈜ 3
 
4.6%
㈜씨앤씨에스에스 2
 
3.1%
주식회사 2
 
3.1%
강정항만용역 2
 
3.1%
제트코리아㈜ 2
 
3.1%
삼화석유㈜ 2
 
3.1%
제주해상물류㈜ 2
 
3.1%
커민스제주 2
 
3.1%
㈜커민스제주 2
 
3.1%
㈜제주마리타임 2
 
3.1%
Other values (37) 44
67.7%
2023-12-12T17:52:13.729955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 36
 
8.4%
제 21
 
4.9%
주 19
 
4.4%
스 16
 
3.7%
유 11
 
2.6%
리 10
 
2.3%
마 10
 
2.3%
사 8
 
1.9%
린 8
 
1.9%
성 8
 
1.9%
Other values (105) 280
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
87.8%
Other Symbol 36
 
8.4%
Close Punctuation 7
 
1.6%
Open Punctuation 7
 
1.6%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 21
 
5.6%
주 19
 
5.1%
스 16
 
4.3%
유 11
 
2.9%
리 10
 
2.7%
마 10
 
2.7%
사 8
 
2.1%
린 8
 
2.1%
성 8
 
2.1%
이 7
 
1.9%
Other values (101) 257
68.5%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
96.3%
Common 16
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 36
 
8.8%
제 21
 
5.1%
주 19
 
4.6%
스 16
 
3.9%
유 11
 
2.7%
리 10
 
2.4%
마 10
 
2.4%
사 8
 
1.9%
린 8
 
1.9%
성 8
 
1.9%
Other values (102) 264
64.2%
Common
ValueCountFrequency (%)
) 7
43.8%
( 7
43.8%
2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
87.8%
None 36
 
8.4%
ASCII 16
 
3.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 36
100.0%
Hangul
ValueCountFrequency (%)
제 21
 
5.6%
주 19
 
5.1%
스 16
 
4.3%
유 11
 
2.9%
리 10
 
2.7%
마 10
 
2.7%
사 8
 
2.1%
린 8
 
2.1%
성 8
 
2.1%
이 7
 
1.9%
Other values (101) 257
68.5%
ASCII
ValueCountFrequency (%)
) 7
43.8%
( 7
43.8%
2
 
12.5%

등록일
Date

Distinct55
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1971-12-02 00:00:00
Maximum2023-05-02 00:00:00
2023-12-12T17:52:13.900830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:14.073658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct43
Distinct (%)69.4%
Missing1
Missing (%)1.6%
Memory size636.0 B
2023-12-12T17:52:14.386432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.967742
Min length11

Characters and Unicode

Total characters742
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

Unique29 ?
Unique (%)46.8%

Sample

1st row064-722-5412
2nd row064-722-5417
3rd row064-753-1106
4th row064-702-0003
5th row064-711-4111
ValueCountFrequency (%)
064-713-0061 4
 
6.5%
064-702-0003 3
 
4.8%
064-751-2611 3
 
4.8%
064-723-1050 3
 
4.8%
064-722-3167 2
 
3.2%
064-722-5412 2
 
3.2%
064-753-5225 2
 
3.2%
064-739-2341 2
 
3.2%
02-705-1005 2
 
3.2%
051-463-0144 2
 
3.2%
Other values (33) 37
59.7%
2023-12-12T17:52:14.835426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
17.5%
- 124
16.7%
4 86
11.6%
6 79
10.6%
1 77
10.4%
7 67
9.0%
2 61
8.2%
3 52
 
7.0%
5 47
 
6.3%
9 12
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 618
83.3%
Dash Punctuation 124
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
21.0%
4 86
13.9%
6 79
12.8%
1 77
12.5%
7 67
10.8%
2 61
9.9%
3 52
 
8.4%
5 47
 
7.6%
9 12
 
1.9%
8 7
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 742
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
17.5%
- 124
16.7%
4 86
11.6%
6 79
10.6%
1 77
10.4%
7 67
9.0%
2 61
8.2%
3 52
 
7.0%
5 47
 
6.3%
9 12
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
17.5%
- 124
16.7%
4 86
11.6%
6 79
10.6%
1 77
10.4%
7 67
9.0%
2 61
8.2%
3 52
 
7.0%
5 47
 
6.3%
9 12
 
1.6%

팩스번호
Text

MISSING 

Distinct38
Distinct (%)62.3%
Missing2
Missing (%)3.2%
Memory size636.0 B
2023-12-12T17:52:15.134466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.967213
Min length11

Characters and Unicode

Total characters730
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

Unique23 ?
Unique (%)37.7%

Sample

1st row064-722-5417
2nd row064-722-5417
3rd row064-752-1030
4th row064-702-0130
5th row064-751-4111
ValueCountFrequency (%)
064-702-0130 4
 
6.6%
064-713-0062 4
 
6.6%
064-722-5417 3
 
4.9%
064-751-2613 3
 
4.9%
064-723-1052 3
 
4.9%
02-705-0754 3
 
4.9%
064-741-2160 2
 
3.3%
064-739-2340 2
 
3.3%
064-732-0048 2
 
3.3%
064-712-6645 2
 
3.3%
Other values (28) 33
54.1%
2023-12-12T17:52:15.555166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122
16.7%
- 122
16.7%
4 87
11.9%
6 73
10.0%
7 71
9.7%
2 64
8.8%
1 59
8.1%
3 54
7.4%
5 53
7.3%
8 14
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
20.1%
4 87
14.3%
6 73
12.0%
7 71
11.7%
2 64
10.5%
1 59
9.7%
3 54
8.9%
5 53
8.7%
8 14
 
2.3%
9 11
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 730
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122
16.7%
- 122
16.7%
4 87
11.9%
6 73
10.0%
7 71
9.7%
2 64
8.8%
1 59
8.1%
3 54
7.4%
5 53
7.3%
8 14
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122
16.7%
- 122
16.7%
4 87
11.9%
6 73
10.0%
7 71
9.7%
2 64
8.8%
1 59
8.1%
3 54
7.4%
5 53
7.3%
8 14
 
1.9%

주소
Text

Distinct41
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T17:52:15.922148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length22.746032
Min length15

Characters and Unicode

Total characters1433
Distinct characters114
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

Unique25 ?
Unique (%)39.7%

Sample

1st row제주특별자치도 제주시 임항로 127(건입동)
2nd row제주특별자치도 제주시 임항로 127(건입동)
3rd row제주특별자치도 제주시 임항로 37(건입동)
4th row제주특별자치도 제주시 임항로 201(건입동)
5th row제주특별자치도 제주시 전농로3길 14(삼도일동)
ValueCountFrequency (%)
제주특별자치도 52
19.7%
제주시 42
 
15.9%
임항로 15
 
5.7%
서귀포시 8
 
3.0%
애월읍 5
 
1.9%
답동3길 4
 
1.5%
7 4
 
1.5%
고마로 4
 
1.5%
서울특별시 4
 
1.5%
부산광역시 3
 
1.1%
Other values (86) 123
46.6%
2023-12-12T17:52:16.504112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
14.0%
주 95
 
6.6%
제 94
 
6.6%
시 63
 
4.4%
도 61
 
4.3%
특 57
 
4.0%
별 57
 
4.0%
자 52
 
3.6%
치 52
 
3.6%
로 51
 
3.6%
Other values (104) 650
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 982
68.5%
Space Separator 201
 
14.0%
Decimal Number 183
 
12.8%
Close Punctuation 27
 
1.9%
Open Punctuation 27
 
1.9%
Dash Punctuation 13
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 95
 
9.7%
제 94
 
9.6%
시 63
 
6.4%
도 61
 
6.2%
특 57
 
5.8%
별 57
 
5.8%
자 52
 
5.3%
치 52
 
5.3%
로 51
 
5.2%
동 32
 
3.3%
Other values (90) 368
37.5%
Decimal Number
ValueCountFrequency (%)
1 46
25.1%
2 27
14.8%
7 22
12.0%
3 18
 
9.8%
4 14
 
7.7%
0 13
 
7.1%
6 13
 
7.1%
5 13
 
7.1%
9 10
 
5.5%
8 7
 
3.8%
Space Separator
ValueCountFrequency (%)
201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 982
68.5%
Common 451
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 95
 
9.7%
제 94
 
9.6%
시 63
 
6.4%
도 61
 
6.2%
특 57
 
5.8%
별 57
 
5.8%
자 52
 
5.3%
치 52
 
5.3%
로 51
 
5.2%
동 32
 
3.3%
Other values (90) 368
37.5%
Common
ValueCountFrequency (%)
201
44.6%
1 46
 
10.2%
) 27
 
6.0%
( 27
 
6.0%
2 27
 
6.0%
7 22
 
4.9%
3 18
 
4.0%
4 14
 
3.1%
0 13
 
2.9%
6 13
 
2.9%
Other values (4) 43
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 982
68.5%
ASCII 451
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
44.6%
1 46
 
10.2%
) 27
 
6.0%
( 27
 
6.0%
2 27
 
6.0%
7 22
 
4.9%
3 18
 
4.0%
4 14
 
3.1%
0 13
 
2.9%
6 13
 
2.9%
Other values (4) 43
 
9.5%
Hangul
ValueCountFrequency (%)
주 95
 
9.7%
제 94
 
9.6%
시 63
 
6.4%
도 61
 
6.2%
특 57
 
5.8%
별 57
 
5.8%
자 52
 
5.3%
치 52
 
5.3%
로 51
 
5.2%
동 32
 
3.3%
Other values (90) 368
37.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2023-05-23 00:00:00
Maximum2023-05-23 00:00:00
2023-12-12T17:52:16.680476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:16.830416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T17:52:16.939577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항별세부업종등록번호업체명등록일전화번호팩스번호주소
항별1.0000.6211.0000.0000.0000.0000.0000.000
세부업종0.6211.0001.0000.9060.9380.9350.9490.912
등록번호1.0001.0001.0001.0001.0001.0001.0001.000
업체명0.0000.9061.0001.0000.9990.9980.9981.000
등록일0.0000.9381.0000.9991.0000.9960.9950.998
전화번호0.0000.9351.0000.9980.9961.0001.0000.999
팩스번호0.0000.9491.0000.9980.9951.0001.0000.997
주소0.0000.9121.0001.0000.9980.9990.9971.000
2023-12-12T17:52:17.079392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부업종항별
세부업종1.0000.634
항별0.6341.000
2023-12-12T17:52:17.177084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항별세부업종
항별1.0000.634
세부업종0.6341.000

Missing values

2023-12-12T17:52:11.446910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:52:11.596359image/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.
2023-12-12T17:52:11.702878image/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

항별업종세부업종등록번호업체명등록일전화번호팩스번호주소데이터기준일자
0제주항항만운송관련사업항만용역업JJR-1001동성운수사1971-12-02064-722-5412064-722-5417제주특별자치도 제주시 임항로 127(건입동)2023-05-23
1제주항항만운송관련사업항만용역업JJR-1002선박급수사1975-12-22064-722-5417064-722-5417제주특별자치도 제주시 임항로 127(건입동)2023-05-23
2제주항항만운송관련사업항만용역업JJR-1005제주시수산업협동조합1985-09-10064-753-1106064-752-1030제주특별자치도 제주시 임항로 37(건입동)2023-05-23
3제주항항만운송관련사업항만용역업JJR-2002제주국제판토스㈜2013-07-29064-702-0003064-702-0130제주특별자치도 제주시 임항로 201(건입동)2023-05-23
4제주항항만운송관련사업항만용역업JJR-2005(유)클린서비스보금자리2014-03-26064-711-4111064-751-4111제주특별자치도 제주시 전농로3길 14(삼도일동)2023-05-23
5제주항항만운송관련사업항만용역업JJR-2006㈜유니온마리타임2014-04-01051-463-0144051-463-0145부산광역시 중구 충장대로 9번길 322023-05-23
6제주항항만운송관련사업항만용역업JJR-2011대성해운㈜2015-03-04064-751-2611064-751-2613제주특별자치도 제주시 임항로 262-12023-05-23
7제주항항만운송관련사업항만용역업JJR-2012동광해운㈜2015-03-25064-751-3232064-751-3234제주특별자치도 제주시 임항로 141(건입동)2023-05-23
8제주항항만운송관련사업항만용역업JJR-2013대일항업2015-06-12064-702-0134064-702-0130제주특별자치도 제주시 태성로 4길2023-05-23
9제주항항만운송관련사업항만용역업JJR-2014(유)썬라이즈마린2015-07-15064-753-5225064-753-5226제주특별자치도 제주시 고마로 108-12023-05-23
항별업종세부업종등록번호업체명등록일전화번호팩스번호주소데이터기준일자
53서귀포항항만운송관련사업항만용역업JJR-2049주식회사 유니온마리타임2020-06-04051-463-0144051-463-0145부산특별시 중구 충장대로9번길 322023-05-23
54서귀포항항만운송관련사업항만용역업JJR-2054㈜씨앤씨에스에스2021-03-2302-6351-100402-705-0754서울특별시 마포구 큰우물로762023-05-23
55서귀포항항만운송관련사업항만용역업JJR-2057제트코리아㈜2022-04-06055-384-3700055-384-3718경상남도 밀양시 부북면 사포산단중앙로 802023-05-23
56서귀포항항만운송관련사업선박수리업JJY-2002㈜삼우마린서비스2021-06-01064-732-0047064-732-0048제주특별자치도 서귀포시 토평공단로 115번길 162023-05-23
57서귀포항항만운송관련사업선박수리업JJY-2007커민스제주2023-02-13064-713-0061064-713-0062제주특별자치도 제주시 애월읍 답동3길 72023-05-23
58서귀포항항만운송관련사업선박수리업JJY-2008㈜커민스제주2023-02-14064-713-0061064-713-0062제주특별자치도 제주시 애월읍 답동3길 72023-05-23
59서귀포항항만운송관련사업선박연료공급업JJU-1003서귀포수협1995-07-19064-733-3551064-733-3560제주특별자치도 서귀포시 칠십리로 44(서귀동)2023-05-23
60서귀포항항만운송관련사업선박연료공급업JJU-2003삼화석유㈜2016-11-30064-741-2131064-741-2160제주특별자치도 제주시 서광로 137(용담이동)2023-05-23
61서귀포항항만운송관련사업선박연료공급업JJU-2004제주해상물류㈜2017-01-03064-722-3167064-723-8200제주특별자치도 제주시 선반로 23(화북일동)2023-05-23
62서귀포항항만운송관련사업선박연료공급업JJU-2007㈜한라해상운송2018-03-19064-799-2626064-799-2627제주특별자치도 제주시 애월읍 애월해안로 932023-05-23