Overview

Dataset statistics

Number of variables9
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory73.9 B

Variable types

Numeric1
Categorical4
Text3
DateTime1

Dataset

Description화물자동차 운송주선사업 허가업체의 업체명, 대표자명, 구분, 허가일자, 주사무소, 관할관청 등 현황 자료입니다.
URLhttps://www.data.go.kr/data/15081137/fileData.do

Alerts

업종명 has constant value ""Constant
관할관청 has constant value ""Constant
영업상태 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:38:11.259115
Analysis finished2023-12-12 22:38:11.833520
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:38:11.904788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.35
Q137.75
median74.5
Q3111.25
95-th percentile140.65
Maximum148
Range147
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation42.868014
Coefficient of variation (CV)0.57540959
Kurtosis-1.2
Mean74.5
Median Absolute Deviation (MAD)37
Skewness0
Sum11026
Variance1837.6667
MonotonicityStrictly increasing
2023-12-13T07:38:12.287179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (138) 138
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
화물주선업
148 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화물주선업 148
100.0%

Length

2023-12-13T07:38:12.409773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:12.495514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화물주선업 148
100.0%

업체명
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:38:12.697622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.2432432
Min length3

Characters and Unicode

Total characters1072
Distinct characters215
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

Unique148 ?
Unique (%)100.0%

Sample

1st row우리퀵물류협동조합
2nd row(주)브이투브이
3rd rowCS물류
4th row번개장터 주식회사
5th row신라물류
ValueCountFrequency (%)
주식회사 5
 
3.2%
통인익스프레스 2
 
1.3%
우리퀵물류협동조합 1
 
0.6%
아프리카익스프레스 1
 
0.6%
주)서브콤 1
 
0.6%
조은물류 1
 
0.6%
주)기업물류 1
 
0.6%
주)통인익스프레스 1
 
0.6%
주)월드브릿지익스프레스 1
 
0.6%
주)벨로지스 1
 
0.6%
Other values (142) 142
90.4%
2023-12-13T07:38:13.049898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 92
 
8.6%
( 84
 
7.8%
) 84
 
7.8%
스 67
 
6.2%
물 41
 
3.8%
류 25
 
2.3%
이 24
 
2.2%
로 21
 
2.0%
운 20
 
1.9%
지 19
 
1.8%
Other values (205) 595
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
81.8%
Open Punctuation 84
 
7.8%
Close Punctuation 84
 
7.8%
Space Separator 9
 
0.8%
Decimal Number 7
 
0.7%
Lowercase Letter 5
 
0.5%
Uppercase Letter 5
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 92
 
10.5%
스 67
 
7.6%
물 41
 
4.7%
류 25
 
2.9%
이 24
 
2.7%
로 21
 
2.4%
운 20
 
2.3%
지 19
 
2.2%
레 16
 
1.8%
화 16
 
1.8%
Other values (187) 536
61.1%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
3 1
 
14.3%
6 1
 
14.3%
5 1
 
14.3%
2 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
S 1
20.0%
M 1
20.0%
H 1
20.0%
J 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
m 1
20.0%
a 1
20.0%
t 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
81.8%
Common 185
 
17.3%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 92
 
10.5%
스 67
 
7.6%
물 41
 
4.7%
류 25
 
2.9%
이 24
 
2.7%
로 21
 
2.4%
운 20
 
2.3%
지 19
 
2.2%
레 16
 
1.8%
화 16
 
1.8%
Other values (187) 536
61.1%
Common
ValueCountFrequency (%)
( 84
45.4%
) 84
45.4%
9
 
4.9%
0 3
 
1.6%
- 1
 
0.5%
3 1
 
0.5%
6 1
 
0.5%
5 1
 
0.5%
2 1
 
0.5%
Latin
ValueCountFrequency (%)
e 2
20.0%
C 1
10.0%
S 1
10.0%
m 1
10.0%
a 1
10.0%
t 1
10.0%
M 1
10.0%
H 1
10.0%
J 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
81.8%
ASCII 195
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 92
 
10.5%
스 67
 
7.6%
물 41
 
4.7%
류 25
 
2.9%
이 24
 
2.7%
로 21
 
2.4%
운 20
 
2.3%
지 19
 
2.2%
레 16
 
1.8%
화 16
 
1.8%
Other values (187) 536
61.1%
ASCII
ValueCountFrequency (%)
( 84
43.1%
) 84
43.1%
9
 
4.6%
0 3
 
1.5%
e 2
 
1.0%
C 1
 
0.5%
S 1
 
0.5%
m 1
 
0.5%
a 1
 
0.5%
t 1
 
0.5%
Other values (8) 8
 
4.1%

주선업유형
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반
111 
이사
25 
일반/이사
12 

Length

Max length5
Median length2
Mean length2.2432432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 111
75.0%
이사 25
 
16.9%
일반/이사 12
 
8.1%

Length

2023-12-13T07:38:13.230651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:13.345281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 111
75.0%
이사 25
 
16.9%
일반/이사 12
 
8.1%

허가일자
Date

Distinct140
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1984-10-05 00:00:00
Maximum2023-01-12 00:00:00
2023-12-13T07:38:13.443062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:38:13.568056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주사무소 주소
Text

Distinct108
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:38:13.857121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.02027
Min length13

Characters and Unicode

Total characters2815
Distinct characters68
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

Unique93 ?
Unique (%)62.8%

Sample

1st row서울특별시 서초구 사평대로 335
2nd row서울특별시 서초구 강남대로 331
3rd row서울특별시 서초구 방배로34길 12
4th row서울특별시 서초구 서초대로38길 12
5th row서울특별시 서초구 효령로 92
ValueCountFrequency (%)
서울특별시 148
25.0%
서초구 148
25.0%
36 23
 
3.9%
양재대로11길 13
 
2.2%
강남대로 10
 
1.7%
양재대로12길 8
 
1.4%
12 8
 
1.4%
청계산로 5
 
0.8%
203 5
 
0.8%
효령로 5
 
0.8%
Other values (148) 218
36.9%
2023-12-13T07:38:14.292682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
15.7%
서 318
 
11.3%
초 166
 
5.9%
구 148
 
5.3%
울 148
 
5.3%
시 148
 
5.3%
별 148
 
5.3%
특 148
 
5.3%
로 141
 
5.0%
1 141
 
5.0%
Other values (58) 866
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1827
64.9%
Decimal Number 524
 
18.6%
Space Separator 443
 
15.7%
Dash Punctuation 21
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 318
17.4%
초 166
9.1%
구 148
8.1%
울 148
8.1%
시 148
8.1%
별 148
8.1%
특 148
8.1%
로 141
7.7%
길 96
 
5.3%
대 61
 
3.3%
Other values (46) 305
16.7%
Decimal Number
ValueCountFrequency (%)
1 141
26.9%
3 78
14.9%
2 78
14.9%
6 50
 
9.5%
4 38
 
7.3%
5 34
 
6.5%
7 30
 
5.7%
8 27
 
5.2%
9 25
 
4.8%
0 23
 
4.4%
Space Separator
ValueCountFrequency (%)
443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1827
64.9%
Common 988
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 318
17.4%
초 166
9.1%
구 148
8.1%
울 148
8.1%
시 148
8.1%
별 148
8.1%
특 148
8.1%
로 141
7.7%
길 96
 
5.3%
대 61
 
3.3%
Other values (46) 305
16.7%
Common
ValueCountFrequency (%)
443
44.8%
1 141
 
14.3%
3 78
 
7.9%
2 78
 
7.9%
6 50
 
5.1%
4 38
 
3.8%
5 34
 
3.4%
7 30
 
3.0%
8 27
 
2.7%
9 25
 
2.5%
Other values (2) 44
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1827
64.9%
ASCII 988
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
44.8%
1 141
 
14.3%
3 78
 
7.9%
2 78
 
7.9%
6 50
 
5.1%
4 38
 
3.8%
5 34
 
3.4%
7 30
 
3.0%
8 27
 
2.7%
9 25
 
2.5%
Other values (2) 44
 
4.5%
Hangul
ValueCountFrequency (%)
서 318
17.4%
초 166
9.1%
구 148
8.1%
울 148
8.1%
시 148
8.1%
별 148
8.1%
특 148
8.1%
로 141
7.7%
길 96
 
5.3%
대 61
 
3.3%
Other values (46) 305
16.7%

주사무소 상세주소
Text

Distinct132
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T07:38:14.574383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length13.358108
Min length5

Characters and Unicode

Total characters1977
Distinct characters146
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)83.1%

Sample

1st row5층 502-에이호 (반포동, 금성빌딩)
2nd row7층 701호 (서초동, 광일프라자)
3rd row1층 (방배동)
4th row7층,지하1층 (서초동, 마제스타시티타워2)
5th row214호 (방배동)
ValueCountFrequency (%)
양재동 38
 
11.7%
서초동 30
 
9.2%
방배동 19
 
5.8%
2층 12
 
3.7%
5층 9
 
2.8%
1층 8
 
2.5%
4층 7
 
2.1%
3층 5
 
1.5%
301호 4
 
1.2%
반포동 4
 
1.2%
Other values (158) 190
58.3%
2023-12-13T07:38:14.956875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
9.1%
동 164
 
8.3%
) 151
 
7.6%
( 151
 
7.6%
호 92
 
4.7%
1 82
 
4.1%
0 77
 
3.9%
양 74
 
3.7%
층 69
 
3.5%
재 68
 
3.4%
Other values (136) 870
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
52.3%
Decimal Number 370
 
18.7%
Space Separator 179
 
9.1%
Close Punctuation 151
 
7.6%
Open Punctuation 151
 
7.6%
Other Punctuation 64
 
3.2%
Dash Punctuation 17
 
0.9%
Uppercase Letter 6
 
0.3%
Lowercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 164
15.9%
호 92
 
8.9%
양 74
 
7.2%
층 69
 
6.7%
재 68
 
6.6%
서 57
 
5.5%
초 43
 
4.2%
빌 31
 
3.0%
딩 29
 
2.8%
배 26
 
2.5%
Other values (112) 381
36.8%
Decimal Number
ValueCountFrequency (%)
1 82
22.2%
0 77
20.8%
2 64
17.3%
3 34
9.2%
4 34
9.2%
5 28
 
7.6%
6 20
 
5.4%
7 14
 
3.8%
8 10
 
2.7%
9 7
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
B 1
16.7%
T 1
16.7%
C 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
52.3%
Common 932
47.1%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 164
15.9%
호 92
 
8.9%
양 74
 
7.2%
층 69
 
6.7%
재 68
 
6.6%
서 57
 
5.5%
초 43
 
4.2%
빌 31
 
3.0%
딩 29
 
2.8%
배 26
 
2.5%
Other values (112) 381
36.8%
Common
ValueCountFrequency (%)
179
19.2%
) 151
16.2%
( 151
16.2%
1 82
8.8%
0 77
8.3%
, 64
 
6.9%
2 64
 
6.9%
3 34
 
3.6%
4 34
 
3.6%
5 28
 
3.0%
Other values (5) 68
 
7.3%
Latin
ValueCountFrequency (%)
e 2
18.2%
A 2
18.2%
L 1
9.1%
B 1
9.1%
T 1
9.1%
C 1
9.1%
n 1
9.1%
t 1
9.1%
r 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
52.3%
ASCII 943
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
19.0%
) 151
16.0%
( 151
16.0%
1 82
8.7%
0 77
8.2%
, 64
 
6.8%
2 64
 
6.8%
3 34
 
3.6%
4 34
 
3.6%
5 28
 
3.0%
Other values (14) 79
8.4%
Hangul
ValueCountFrequency (%)
동 164
15.9%
호 92
 
8.9%
양 74
 
7.2%
층 69
 
6.7%
재 68
 
6.6%
서 57
 
5.5%
초 43
 
4.2%
빌 31
 
3.0%
딩 29
 
2.8%
배 26
 
2.5%
Other values (112) 381
36.8%

관할관청
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서초구
148 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서초구 148
100.0%

Length

2023-12-13T07:38:15.083870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:15.173229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서초구 148
100.0%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
정상
148 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 148
100.0%

Length

2023-12-13T07:38:15.267109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:15.348175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 148
100.0%

Interactions

2023-12-13T07:38:11.565327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:38:15.399617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주선업유형
연번1.0000.000
주선업유형0.0001.000
2023-12-13T07:38:15.467563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주선업유형
연번1.0000.000
주선업유형0.0001.000

Missing values

2023-12-13T07:38:11.677831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:38:11.789334image/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

연번업종명업체명주선업유형허가일자주사무소 주소주사무소 상세주소관할관청영업상태
01화물주선업우리퀵물류협동조합일반1989-06-03서울특별시 서초구 사평대로 3355층 502-에이호 (반포동, 금성빌딩)서초구정상
12화물주선업(주)브이투브이일반2002-10-09서울특별시 서초구 강남대로 3317층 701호 (서초동, 광일프라자)서초구정상
23화물주선업CS물류일반2008-07-11서울특별시 서초구 방배로34길 121층 (방배동)서초구정상
34화물주선업번개장터 주식회사일반1988-12-14서울특별시 서초구 서초대로38길 127층,지하1층 (서초동, 마제스타시티타워2)서초구정상
45화물주선업신라물류일반2000-04-25서울특별시 서초구 효령로 92214호 (방배동)서초구정상
56화물주선업(주)오토클릭서비스일반2005-04-25서울특별시 서초구 바우뫼로 1935층 (양재동, 화이브빌딩)서초구정상
67화물주선업두레시닝(주)일반1997-11-17서울특별시 서초구 방배로 1318층 (방배동)서초구정상
78화물주선업미래물류일반1997-09-12서울특별시 서초구 양재동220-1 지하 1층(양재동)서초구정상
89화물주선업퀵퀵 주식회사일반2002-09-13서울특별시 서초구 서초대로54길 113층 (서초동)서초구정상
910화물주선업주식회사 로지피아일반1998-07-16서울특별시 서초구 강남대로41길 122층 (서초동)서초구정상
연번업종명업체명주선업유형허가일자주사무소 주소주사무소 상세주소관할관청영업상태
138139화물주선업국제익스프레스이사1990-12-18서울특별시 서초구 매헌로1길 30지층 (양재동)서초구정상
139140화물주선업정도화물일반2002-11-11서울특별시 서초구 양재대로2길 100-48411호 (우면동)서초구정상
140141화물주선업(주)팍트라인터내셔널일반1992-05-01서울특별시 서초구 강남대로41길 123층 (서초동)서초구정상
141142화물주선업착한퀵일반/이사1994-06-20서울특별시 서초구 마방로10길 15B동 1109호 (양재동)서초구정상
142143화물주선업e통인익스프레스이사2002-07-24서울특별시 서초구 전원말5길 3지층3호 (방배동)서초구정상
143144화물주선업(주)이엘에스솔루션일반2002-07-18서울특별시 서초구 효령로 4242층 (서초동,대명빌딩)서초구정상
144145화물주선업(주)델타웍스일반1998-07-14서울특별시 서초구 방배중앙로19길 92층 201-2호 (방배동)서초구정상
145146화물주선업아주물류(주)일반2000-11-02서울특별시 서초구 방배로27길 27403호 (방배동)서초구정상
146147화물주선업(주)통합콜일반/이사2000-08-09서울특별시 서초구 사평대로55길 1235층 (반포동)서초구정상
147148화물주선업후다닥(주)일반/이사2001-07-24서울특별시 서초구 서초대로50길 90301호 (서초동)서초구정상