Overview

Dataset statistics

Number of variables8
Number of observations159
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory64.8 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description부산광역시_동구_부동산중개업소현황_20220113
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079353

Alerts

시군구명 has constant value ""Constant
행정처분상태 is highly imbalanced (94.5%)Imbalance
중개업소구분 is highly imbalanced (78.8%)Imbalance
등록번호 has unique valuesUnique
중개업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:27:47.878852
Analysis finished2023-12-10 16:27:48.449881
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
부산광역시 동구
159 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동구
2nd row부산광역시 동구
3rd row부산광역시 동구
4th row부산광역시 동구
5th row부산광역시 동구

Common Values

ValueCountFrequency (%)
부산광역시 동구 159
100.0%

Length

2023-12-11T01:27:48.517491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:27:48.611638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 159
50.0%
동구 159
50.0%

행정처분상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
158 
업무정지
 
1

Length

Max length4
Median length3
Mean length3.0062893
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 158
99.4%
업무정지 1
 
0.6%

Length

2023-12-11T01:27:48.703025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:27:48.806186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 158
99.4%
업무정지 1
 
0.6%

등록번호
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:27:49.015952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.031447
Min length7

Characters and Unicode

Total characters2231
Distinct characters13
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

Unique159 ?
Unique (%)100.0%

Sample

1st row가-03-003
2nd row가-03-115
3rd row나-03-034
4th row가-03-239
5th row가-03-221
ValueCountFrequency (%)
가-03-003 1
 
0.6%
26170-2019-00032 1
 
0.6%
26170-2019-00035 1
 
0.6%
26170-2019-00043 1
 
0.6%
26170-2019-00045 1
 
0.6%
26170-2019-00050 1
 
0.6%
26170-2019-00051 1
 
0.6%
26170-2019-00052 1
 
0.6%
26170-2019-00053 1
 
0.6%
26170-2019-00033 1
 
0.6%
Other values (149) 149
93.7%
2023-12-11T01:27:49.395520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 705
31.6%
2 344
15.4%
- 317
14.2%
1 278
 
12.5%
6 166
 
7.4%
7 163
 
7.3%
3 93
 
4.2%
9 39
 
1.7%
38
 
1.7%
5 38
 
1.7%
Other values (3) 50
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1875
84.0%
Dash Punctuation 317
 
14.2%
Other Letter 39
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 705
37.6%
2 344
18.3%
1 278
 
14.8%
6 166
 
8.9%
7 163
 
8.7%
3 93
 
5.0%
9 39
 
2.1%
5 38
 
2.0%
8 28
 
1.5%
4 21
 
1.1%
Other Letter
ValueCountFrequency (%)
38
97.4%
1
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2192
98.3%
Hangul 39
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 705
32.2%
2 344
15.7%
- 317
14.5%
1 278
 
12.7%
6 166
 
7.6%
7 163
 
7.4%
3 93
 
4.2%
9 39
 
1.8%
5 38
 
1.7%
8 28
 
1.3%
Hangul
ValueCountFrequency (%)
38
97.4%
1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2192
98.3%
Hangul 39
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 705
32.2%
2 344
15.7%
- 317
14.5%
1 278
 
12.7%
6 166
 
7.6%
7 163
 
7.4%
3 93
 
4.2%
9 39
 
1.8%
5 38
 
1.7%
8 28
 
1.3%
Hangul
ValueCountFrequency (%)
38
97.4%
1
 
2.6%

중개업소구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공인중개사
151 
중개인
 
5
법인
 
3

Length

Max length5
Median length5
Mean length4.8805031
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 151
95.0%
중개인 5
 
3.1%
법인 3
 
1.9%

Length

2023-12-11T01:27:49.559853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:27:49.715692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 151
95.0%
중개인 5
 
3.1%
법인 3
 
1.9%
Distinct158
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:27:50.059856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9811321
Min length2

Characters and Unicode

Total characters474
Distinct characters118
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)98.7%

Sample

1st row김도완
2nd row김종복
3rd row이인성
4th row김신용
5th row이종길
ValueCountFrequency (%)
김유진 2
 
1.3%
변은숙 1
 
0.6%
박영곤 1
 
0.6%
최정호 1
 
0.6%
최명희 1
 
0.6%
여화순 1
 
0.6%
방창현 1
 
0.6%
박경혜 1
 
0.6%
방민여 1
 
0.6%
최지영 1
 
0.6%
Other values (148) 148
93.1%
2023-12-11T01:27:50.511314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
8.0%
29
 
6.1%
22
 
4.6%
22
 
4.6%
17
 
3.6%
14
 
3.0%
13
 
2.7%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (108) 291
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
8.0%
29
 
6.1%
22
 
4.6%
22
 
4.6%
17
 
3.6%
14
 
3.0%
13
 
2.7%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (108) 291
61.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
8.0%
29
 
6.1%
22
 
4.6%
22
 
4.6%
17
 
3.6%
14
 
3.0%
13
 
2.7%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (108) 291
61.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
38
 
8.0%
29
 
6.1%
22
 
4.6%
22
 
4.6%
17
 
3.6%
14
 
3.0%
13
 
2.7%
10
 
2.1%
9
 
1.9%
9
 
1.9%
Other values (108) 291
61.4%

중개업소명
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:27:50.703735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.339623
Min length7

Characters and Unicode

Total characters1803
Distinct characters187
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)100.0%

Sample

1st row제일부동산중개인사무소
2nd row대우부동산중개사무소
3rd row형제부동산중개사무소
4th row남도부동산중개인사무소
5th row토박이좌승부동산 중개인사무소
ValueCountFrequency (%)
공인중개사사무소 2
 
1.2%
사무소 2
 
1.2%
공인중개사 2
 
1.2%
제일부동산중개인사무소 1
 
0.6%
상일부동산중개사무소 1
 
0.6%
정원부동산공인중개사사무소 1
 
0.6%
범양센트럴부동산공인중개사사무소 1
 
0.6%
세여부동산중개 1
 
0.6%
진역협성부동산중개사무소 1
 
0.6%
양지공인중개사사무소 1
 
0.6%
Other values (156) 156
92.3%
2023-12-11T01:27:51.057528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
15.1%
161
 
8.9%
159
 
8.8%
149
 
8.3%
148
 
8.2%
130
 
7.2%
121
 
6.7%
69
 
3.8%
68
 
3.8%
66
 
3.7%
Other values (177) 460
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1762
97.7%
Uppercase Letter 15
 
0.8%
Space Separator 10
 
0.6%
Decimal Number 10
 
0.6%
Lowercase Letter 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
272
15.4%
161
 
9.1%
159
 
9.0%
149
 
8.5%
148
 
8.4%
130
 
7.4%
121
 
6.9%
69
 
3.9%
68
 
3.9%
66
 
3.7%
Other values (154) 419
23.8%
Uppercase Letter
ValueCountFrequency (%)
K 3
20.0%
L 2
13.3%
B 2
13.3%
J 2
13.3%
S 2
13.3%
O 1
 
6.7%
A 1
 
6.7%
M 1
 
6.7%
N 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
7 2
20.0%
1 2
20.0%
3 1
10.0%
6 1
10.0%
2 1
10.0%
9 1
10.0%
8 1
10.0%
4 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
b 1
20.0%
w 1
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1762
97.7%
Common 21
 
1.2%
Latin 20
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
272
15.4%
161
 
9.1%
159
 
9.0%
149
 
8.5%
148
 
8.4%
130
 
7.4%
121
 
6.9%
69
 
3.9%
68
 
3.9%
66
 
3.7%
Other values (154) 419
23.8%
Latin
ValueCountFrequency (%)
K 3
15.0%
e 2
10.0%
L 2
10.0%
B 2
10.0%
J 2
10.0%
S 2
10.0%
O 1
 
5.0%
n 1
 
5.0%
A 1
 
5.0%
b 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
10
47.6%
7 2
 
9.5%
1 2
 
9.5%
3 1
 
4.8%
6 1
 
4.8%
2 1
 
4.8%
9 1
 
4.8%
8 1
 
4.8%
4 1
 
4.8%
, 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1762
97.7%
ASCII 41
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
272
15.4%
161
 
9.1%
159
 
9.0%
149
 
8.5%
148
 
8.4%
130
 
7.4%
121
 
6.9%
69
 
3.9%
68
 
3.9%
66
 
3.7%
Other values (154) 419
23.8%
ASCII
ValueCountFrequency (%)
10
24.4%
K 3
 
7.3%
e 2
 
4.9%
L 2
 
4.9%
B 2
 
4.9%
J 2
 
4.9%
7 2
 
4.9%
1 2
 
4.9%
S 2
 
4.9%
3 1
 
2.4%
Other values (13) 13
31.7%
Distinct155
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:27:51.305236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length29.345912
Min length15

Characters and Unicode

Total characters4666
Distinct characters142
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)95.0%

Sample

1st row부산광역시 동구 초량로 66-1(초량동)
2nd row부산광역시 동구 고관로 133-2(수정동)
3rd row부산광역시 동구 초량로13번길 86(초량동)
4th row부산광역시 동구 망양로 877(범일동)
5th row부산광역시 동구 성남로 67
ValueCountFrequency (%)
부산광역시 159
 
18.8%
동구 159
 
18.8%
1층 18
 
2.1%
홍곡로 13
 
1.5%
중앙대로 12
 
1.4%
고관로 12
 
1.4%
초량중로 11
 
1.3%
범일로 10
 
1.2%
고관로29번길 9
 
1.1%
50 9
 
1.1%
Other values (268) 436
51.4%
2023-12-11T01:27:51.932489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
689
 
14.8%
325
 
7.0%
1 231
 
5.0%
175
 
3.8%
174
 
3.7%
173
 
3.7%
166
 
3.6%
160
 
3.4%
160
 
3.4%
159
 
3.4%
Other values (132) 2254
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2716
58.2%
Decimal Number 790
 
16.9%
Space Separator 689
 
14.8%
Other Punctuation 152
 
3.3%
Close Punctuation 130
 
2.8%
Open Punctuation 130
 
2.8%
Dash Punctuation 46
 
1.0%
Uppercase Letter 9
 
0.2%
Lowercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
325
 
12.0%
175
 
6.4%
174
 
6.4%
173
 
6.4%
166
 
6.1%
160
 
5.9%
160
 
5.9%
159
 
5.9%
85
 
3.1%
85
 
3.1%
Other values (111) 1054
38.8%
Decimal Number
ValueCountFrequency (%)
1 231
29.2%
2 103
13.0%
0 95
12.0%
3 68
 
8.6%
4 58
 
7.3%
6 53
 
6.7%
5 52
 
6.6%
9 45
 
5.7%
7 45
 
5.7%
8 40
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
66.7%
G 1
 
11.1%
L 1
 
11.1%
H 1
 
11.1%
Space Separator
ValueCountFrequency (%)
689
100.0%
Other Punctuation
ValueCountFrequency (%)
, 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2716
58.2%
Common 1937
41.5%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
325
 
12.0%
175
 
6.4%
174
 
6.4%
173
 
6.4%
166
 
6.1%
160
 
5.9%
160
 
5.9%
159
 
5.9%
85
 
3.1%
85
 
3.1%
Other values (111) 1054
38.8%
Common
ValueCountFrequency (%)
689
35.6%
1 231
 
11.9%
, 152
 
7.8%
) 130
 
6.7%
( 130
 
6.7%
2 103
 
5.3%
0 95
 
4.9%
3 68
 
3.5%
4 58
 
3.0%
6 53
 
2.7%
Other values (5) 228
 
11.8%
Latin
ValueCountFrequency (%)
B 6
46.2%
e 3
23.1%
G 1
 
7.7%
L 1
 
7.7%
H 1
 
7.7%
1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2716
58.2%
ASCII 1949
41.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
689
35.4%
1 231
 
11.9%
, 152
 
7.8%
) 130
 
6.7%
( 130
 
6.7%
2 103
 
5.3%
0 95
 
4.9%
3 68
 
3.5%
4 58
 
3.0%
6 53
 
2.7%
Other values (10) 240
 
12.3%
Hangul
ValueCountFrequency (%)
325
 
12.0%
175
 
6.4%
174
 
6.4%
173
 
6.4%
166
 
6.1%
160
 
5.9%
160
 
5.9%
159
 
5.9%
85
 
3.1%
85
 
3.1%
Other values (111) 1054
38.8%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct155
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1984-05-15 00:00:00
Maximum2021-12-17 00:00:00
2023-12-11T01:27:52.128013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:27:52.275005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-11T01:27:52.356093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정처분상태중개업소구분
행정처분상태1.0000.000
중개업소구분0.0001.000
2023-12-11T01:27:52.455802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중개업소구분행정처분상태
중개업소구분1.0000.000
행정처분상태0.0001.000
2023-12-11T01:27:52.534030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정처분상태중개업소구분
행정처분상태1.0000.000
중개업소구분0.0001.000

Missing values

2023-12-11T01:27:48.263851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:27:48.392976image/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

시군구명행정처분상태등록번호중개업소구분중개업자명중개업소명사무소주소(도로명)등록일
0부산광역시 동구영업중가-03-003중개인김도완제일부동산중개인사무소부산광역시 동구 초량로 66-1(초량동)1984-05-15
1부산광역시 동구영업중가-03-115중개인김종복대우부동산중개사무소부산광역시 동구 고관로 133-2(수정동)1986-04-28
2부산광역시 동구영업중나-03-034중개인이인성형제부동산중개사무소부산광역시 동구 초량로13번길 86(초량동)1984-06-04
3부산광역시 동구영업중가-03-239중개인김신용남도부동산중개인사무소부산광역시 동구 망양로 877(범일동)1989-04-06
4부산광역시 동구영업중가-03-221중개인이종길토박이좌승부동산 중개인사무소부산광역시 동구 성남로 671989-01-10
5부산광역시 동구영업중가-03-533공인중개사손병우주민공인중개사사무소부산광역시 동구 고관로 99(수정동)2003-09-02
6부산광역시 동구영업중가-03-506공인중개사권영태길영공인중개사사무소부산광역시 동구 중앙대로209번길 23(초량동)2002-10-08
7부산광역시 동구영업중가-03-550공인중개사정춘미노블리안공인중개사사무소부산광역시 동구 중앙대로 169, 121호(초량동)2003-12-24
8부산광역시 동구영업중가-03-561공인중개사김천호중앙공인중개사사무소부산광역시 동구 범일로 98-22004-08-23
9부산광역시 동구영업중가-03-576공인중개사김계정소망공인중개사사무소부산광역시 동구 초량중로 96-1(초량동)2005-07-21
시군구명행정처분상태등록번호중개업소구분중개업자명중개업소명사무소주소(도로명)등록일
149부산광역시 동구영업중26170-2021-00033공인중개사김숙자나이스공인중개사사무소부산광역시 동구 홍곡로 50, 이편한세상부산항 근린생활시설 3동 303호 일부2021-11-08
150부산광역시 동구영업중26170-2021-00034공인중개사양율석범일삼정부동산중개사무소부산광역시 동구 범일로90번길 17, 1층 108호(범일역삼정그린코아 더시티)2020-02-19
151부산광역시 동구영업중26170-2021-00035공인중개사김홍명품부동산공인중개사사무소부산광역시 동구 범일로90번길 17, 1층 106호(범일동, 범일역삼정그린코아 더시티)2017-04-07
152부산광역시 동구영업중26170-2021-00037공인중개사손지연태인공인중개사사무소부산광역시 동구 수정동로 9-1, 1층(수정동)2021-12-03
153부산광역시 동구영업중26170-2021-00038공인중개사백달호양지부동산공인중개사사무소부산광역시 동구 조방로 48, 1층 1080호(범일동, 자유시장)2021-12-16
154부산광역시 동구영업중26170-2021-00039공인중개사박정근수정부동산공인중개사사무소부산광역시 동구 망양로 687(수정동)2021-12-17
155부산광역시 동구영업중26170-2022-00001공인중개사조재희77억부동산중개부산광역시 동구 중앙대로 381, B동 2층(수정동)2017-10-12
156부산광역시 동구영업중26170-2018-00032법인강병구선진부동산중개법인부산광역시 동구 진성로 28, 2층(좌천동)2018-07-11
157부산광역시 동구영업중26170-2021-00036법인정현호주식회사도담디앤씨부동산중개법인부산광역시 동구 중앙대로180번길 12-4, 3층 302호(초량동, 에스컴빌딩)2021-11-26
158부산광역시 동구영업중26170-2019-00039법인김정주식회사 단아부동산중개법인부산광역시 동구 중앙대로226번길 11, 2층(초량동, 우주빌딩)2019-08-19