Overview

Dataset statistics

Number of variables7
Number of observations551
Missing cells90
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.3 KiB
Average record size in memory56.2 B

Variable types

Text5
Categorical1
DateTime1

Dataset

Description수영구 부동산 중개업소 정보로 등록번호, 업소상태, 상호명, 이름, 소재지, 전화번호, 등록연월일 항목을 제공합니다
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15106739/fileData.do

Alerts

업소상태 has constant value ""Constant
사무소전화번호 has 90 (16.3%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:11:39.682138
Analysis finished2023-12-12 04:11:40.565505
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct551
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T13:11:40.807232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length14.034483
Min length6

Characters and Unicode

Total characters7733
Distinct characters14
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

Unique551 ?
Unique (%)100.0%

Sample

1st row나-14-86
2nd row나-14-100
3rd row가-14-148
4th row가-14-139
5th row26500-2017-00001
ValueCountFrequency (%)
2
 
0.4%
나-14-86 1
 
0.2%
26500-2022-00057 1
 
0.2%
26500-2020-00045 1
 
0.2%
26500-2020-00041 1
 
0.2%
26500-2020-00043 1
 
0.2%
26500-2020-00042 1
 
0.2%
26500-2020-00040 1
 
0.2%
26500-2022-00035 1
 
0.2%
26500-2020-00039 1
 
0.2%
Other values (544) 544
98.0%
2023-12-12T13:11:41.309635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2572
33.3%
2 1257
16.3%
- 1104
14.3%
1 701
 
9.1%
5 555
 
7.2%
6 541
 
7.0%
4 276
 
3.6%
9 157
 
2.0%
8 154
 
2.0%
가 143
 
1.8%
Other values (4) 273
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6480
83.8%
Dash Punctuation 1104
 
14.3%
Other Letter 145
 
1.9%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2572
39.7%
2 1257
19.4%
1 701
 
10.8%
5 555
 
8.6%
6 541
 
8.3%
4 276
 
4.3%
9 157
 
2.4%
8 154
 
2.4%
7 139
 
2.1%
3 128
 
2.0%
Other Letter
ValueCountFrequency (%)
가 143
98.6%
나 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1104
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7588
98.1%
Hangul 145
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2572
33.9%
2 1257
16.6%
- 1104
14.5%
1 701
 
9.2%
5 555
 
7.3%
6 541
 
7.1%
4 276
 
3.6%
9 157
 
2.1%
8 154
 
2.0%
7 139
 
1.8%
Other values (2) 132
 
1.7%
Hangul
ValueCountFrequency (%)
가 143
98.6%
나 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7588
98.1%
Hangul 145
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2572
33.9%
2 1257
16.6%
- 1104
14.5%
1 701
 
9.2%
5 555
 
7.3%
6 541
 
7.1%
4 276
 
3.6%
9 157
 
2.1%
8 154
 
2.0%
7 139
 
1.8%
Other values (2) 132
 
1.7%
Hangul
ValueCountFrequency (%)
가 143
98.6%
나 2
 
1.4%

업소상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
영업중
551 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 551
100.0%

Length

2023-12-12T13:11:41.505386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:11:41.635076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 551
100.0%

상호명
Text

Distinct524
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T13:11:41.872351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length11.967332
Min length6

Characters and Unicode

Total characters6594
Distinct characters326
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique504 ?
Unique (%)91.5%

Sample

1st row롯데부동산중개사무소
2nd row경북부동산중개사무소
3rd row대진부동산중개사무소
4th row남광부동산중개사무소
5th row창성부동산중개인사무소
ValueCountFrequency (%)
공인중개사사무소 11
 
1.9%
주식회사 5
 
0.9%
우리공인중개사사무소 4
 
0.7%
미소공인중개사사무소 3
 
0.5%
현대공인중개사사무소 3
 
0.5%
행복공인중개사사무소 3
 
0.5%
부자부동산공인중개사사무소 3
 
0.5%
미래공인중개사사무소 3
 
0.5%
행운공인중개사사무소 2
 
0.3%
스탠다드부동산중개법인 2
 
0.3%
Other values (524) 537
93.2%
2023-12-12T13:11:42.437746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 989
15.0%
개 553
 
8.4%
중 552
 
8.4%
소 525
 
8.0%
무 518
 
7.9%
인 474
 
7.2%
공 460
 
7.0%
부 290
 
4.4%
동 285
 
4.3%
산 281
 
4.3%
Other values (316) 1667
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6418
97.3%
Uppercase Letter 99
 
1.5%
Space Separator 25
 
0.4%
Lowercase Letter 24
 
0.4%
Decimal Number 18
 
0.3%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 989
15.4%
개 553
 
8.6%
중 552
 
8.6%
소 525
 
8.2%
무 518
 
8.1%
인 474
 
7.4%
공 460
 
7.2%
부 290
 
4.5%
동 285
 
4.4%
산 281
 
4.4%
Other values (277) 1491
23.2%
Uppercase Letter
ValueCountFrequency (%)
K 30
30.3%
S 25
25.3%
N 7
 
7.1%
B 5
 
5.1%
C 4
 
4.0%
T 4
 
4.0%
G 3
 
3.0%
L 3
 
3.0%
E 2
 
2.0%
H 2
 
2.0%
Other values (10) 14
14.1%
Lowercase Letter
ValueCountFrequency (%)
e 11
45.8%
w 5
20.8%
h 2
 
8.3%
o 2
 
8.3%
k 1
 
4.2%
s 1
 
4.2%
u 1
 
4.2%
n 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
8 6
33.3%
1 6
33.3%
3 2
 
11.1%
4 2
 
11.1%
9 1
 
5.6%
0 1
 
5.6%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6416
97.3%
Latin 124
 
1.9%
Common 52
 
0.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 989
15.4%
개 553
 
8.6%
중 552
 
8.6%
소 525
 
8.2%
무 518
 
8.1%
인 474
 
7.4%
공 460
 
7.2%
부 290
 
4.5%
동 285
 
4.4%
산 281
 
4.4%
Other values (275) 1489
23.2%
Latin
ValueCountFrequency (%)
K 30
24.2%
S 25
20.2%
e 11
 
8.9%
N 7
 
5.6%
w 5
 
4.0%
B 5
 
4.0%
C 4
 
3.2%
T 4
 
3.2%
G 3
 
2.4%
L 3
 
2.4%
Other values (19) 27
21.8%
Common
ValueCountFrequency (%)
25
48.1%
8 6
 
11.5%
1 6
 
11.5%
( 4
 
7.7%
) 4
 
7.7%
3 2
 
3.8%
4 2
 
3.8%
9 1
 
1.9%
0 1
 
1.9%
. 1
 
1.9%
Han
ValueCountFrequency (%)
太 1
50.0%
利 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6416
97.3%
ASCII 175
 
2.7%
CJK 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 989
15.4%
개 553
 
8.6%
중 552
 
8.6%
소 525
 
8.2%
무 518
 
8.1%
인 474
 
7.4%
공 460
 
7.2%
부 290
 
4.5%
동 285
 
4.4%
산 281
 
4.4%
Other values (275) 1489
23.2%
ASCII
ValueCountFrequency (%)
K 30
17.1%
25
14.3%
S 25
14.3%
e 11
 
6.3%
N 7
 
4.0%
8 6
 
3.4%
1 6
 
3.4%
w 5
 
2.9%
B 5
 
2.9%
C 4
 
2.3%
Other values (28) 51
29.1%
CJK
ValueCountFrequency (%)
太 1
50.0%
利 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

성명(대표자)
Text

Distinct542
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T13:11:42.927958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9945554
Min length2

Characters and Unicode

Total characters1650
Distinct characters167
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique535 ?
Unique (%)97.1%

Sample

1st row김호복
2nd row김윤현
3rd row이영순
4th row류한봉
5th row정일창
ValueCountFrequency (%)
박미영 4
 
0.7%
김규성 2
 
0.4%
이미경 2
 
0.4%
김현철 2
 
0.4%
손효정 2
 
0.4%
박정은 2
 
0.4%
김정희 2
 
0.4%
신재기 1
 
0.2%
김숙경 1
 
0.2%
김호복 1
 
0.2%
Other values (533) 533
96.6%
2023-12-12T13:11:43.605666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 123
 
7.5%
이 83
 
5.0%
정 79
 
4.8%
영 61
 
3.7%
박 43
 
2.6%
희 43
 
2.6%
미 34
 
2.1%
현 32
 
1.9%
경 31
 
1.9%
숙 29
 
1.8%
Other values (157) 1092
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1649
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 123
 
7.5%
이 83
 
5.0%
정 79
 
4.8%
영 61
 
3.7%
박 43
 
2.6%
희 43
 
2.6%
미 34
 
2.1%
현 32
 
1.9%
경 31
 
1.9%
숙 29
 
1.8%
Other values (156) 1091
66.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1649
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 123
 
7.5%
이 83
 
5.0%
정 79
 
4.8%
영 61
 
3.7%
박 43
 
2.6%
희 43
 
2.6%
미 34
 
2.1%
현 32
 
1.9%
경 31
 
1.9%
숙 29
 
1.8%
Other values (156) 1091
66.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1649
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 123
 
7.5%
이 83
 
5.0%
정 79
 
4.8%
영 61
 
3.7%
박 43
 
2.6%
희 43
 
2.6%
미 34
 
2.1%
현 32
 
1.9%
경 31
 
1.9%
숙 29
 
1.8%
Other values (156) 1091
66.2%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

Distinct518
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T13:11:43.997949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length33.419238
Min length11

Characters and Unicode

Total characters18414
Distinct characters229
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

Unique486 ?
Unique (%)88.2%

Sample

1st row부산광역시 수영구 수영로606번길 99(광안동)
2nd row부산광역시 수영구 남천바다로21번길 3(광안동)
3rd row부산광역시 수영구 무학로63번길 92-1(민락동)
4th row부산광역시 수영구 수영로 521(광안동)
5th row부산광역시 수영구 광서로10번길 74(광안동)
ValueCountFrequency (%)
부산광역시 549
 
17.9%
수영구 548
 
17.9%
수영로 55
 
1.8%
광안해변로 41
 
1.3%
남천동로 34
 
1.1%
광안동 31
 
1.0%
상가동 30
 
1.0%
광남로 25
 
0.8%
남천동 24
 
0.8%
1층(광안동 21
 
0.7%
Other values (799) 1706
55.7%
2023-12-12T13:11:44.596646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2513
 
13.6%
광 987
 
5.4%
수 781
 
4.2%
1 768
 
4.2%
영 746
 
4.1%
동 741
 
4.0%
, 592
 
3.2%
산 582
 
3.2%
시 574
 
3.1%
부 564
 
3.1%
Other values (219) 9566
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11035
59.9%
Decimal Number 3047
 
16.5%
Space Separator 2513
 
13.6%
Other Punctuation 595
 
3.2%
Close Punctuation 536
 
2.9%
Open Punctuation 536
 
2.9%
Dash Punctuation 79
 
0.4%
Uppercase Letter 59
 
0.3%
Lowercase Letter 11
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 987
 
8.9%
수 781
 
7.1%
영 746
 
6.8%
동 741
 
6.7%
산 582
 
5.3%
시 574
 
5.2%
부 564
 
5.1%
로 557
 
5.0%
구 555
 
5.0%
역 554
 
5.0%
Other values (188) 4394
39.8%
Uppercase Letter
ValueCountFrequency (%)
K 9
15.3%
S 8
13.6%
B 7
11.9%
W 5
8.5%
V 5
8.5%
I 5
8.5%
E 5
8.5%
A 4
6.8%
C 4
6.8%
O 3
 
5.1%
Other values (2) 4
6.8%
Decimal Number
ValueCountFrequency (%)
1 768
25.2%
0 440
14.4%
2 403
13.2%
3 284
 
9.3%
4 244
 
8.0%
5 231
 
7.6%
6 219
 
7.2%
7 175
 
5.7%
9 159
 
5.2%
8 124
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 592
99.5%
/ 3
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅴ 1
33.3%
Space Separator
ValueCountFrequency (%)
2513
100.0%
Close Punctuation
ValueCountFrequency (%)
) 536
100.0%
Open Punctuation
ValueCountFrequency (%)
( 536
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11035
59.9%
Common 7306
39.7%
Latin 73
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 987
 
8.9%
수 781
 
7.1%
영 746
 
6.8%
동 741
 
6.7%
산 582
 
5.3%
시 574
 
5.2%
부 564
 
5.1%
로 557
 
5.0%
구 555
 
5.0%
역 554
 
5.0%
Other values (188) 4394
39.8%
Common
ValueCountFrequency (%)
2513
34.4%
1 768
 
10.5%
, 592
 
8.1%
) 536
 
7.3%
( 536
 
7.3%
0 440
 
6.0%
2 403
 
5.5%
3 284
 
3.9%
4 244
 
3.3%
5 231
 
3.2%
Other values (6) 759
 
10.4%
Latin
ValueCountFrequency (%)
e 11
15.1%
K 9
12.3%
S 8
11.0%
B 7
9.6%
W 5
6.8%
V 5
6.8%
I 5
6.8%
E 5
6.8%
A 4
 
5.5%
C 4
 
5.5%
Other values (5) 10
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11035
59.9%
ASCII 7376
40.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2513
34.1%
1 768
 
10.4%
, 592
 
8.0%
) 536
 
7.3%
( 536
 
7.3%
0 440
 
6.0%
2 403
 
5.5%
3 284
 
3.9%
4 244
 
3.3%
5 231
 
3.1%
Other values (19) 829
 
11.2%
Hangul
ValueCountFrequency (%)
광 987
 
8.9%
수 781
 
7.1%
영 746
 
6.8%
동 741
 
6.7%
산 582
 
5.3%
시 574
 
5.2%
부 564
 
5.1%
로 557
 
5.0%
구 555
 
5.0%
역 554
 
5.0%
Other values (188) 4394
39.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅴ 1
33.3%

사무소전화번호
Text

MISSING 

Distinct448
Distinct (%)97.2%
Missing90
Missing (%)16.3%
Memory size4.4 KiB
2023-12-12T13:11:44.968598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length12
Mean length13.414317
Min length9

Characters and Unicode

Total characters6184
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique437 ?
Unique (%)94.8%

Sample

1st row051-753-8888
2nd row051-753-3044
3rd row051-753-8578
4th row051-751-2788
5th row051-753-2561
ValueCountFrequency (%)
051-754-5900 3
 
0.6%
051-753-0045 3
 
0.6%
051-751-0424 2
 
0.4%
051-759-0048 2
 
0.4%
051-754-4981 2
 
0.4%
051-761-3888 2
 
0.4%
051-611-1889 2
 
0.4%
051-753-1001 2
 
0.4%
051-761-2277 2
 
0.4%
051-757-3215 2
 
0.4%
Other values (486) 489
95.7%
2023-12-12T13:11:45.539842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1093
17.7%
- 1019
16.5%
0 950
15.4%
1 842
13.6%
7 597
9.7%
8 325
 
5.3%
6 295
 
4.8%
2 285
 
4.6%
4 255
 
4.1%
3 236
 
3.8%
Other values (3) 287
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5111
82.6%
Dash Punctuation 1019
 
16.5%
Space Separator 53
 
0.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1093
21.4%
0 950
18.6%
1 842
16.5%
7 597
11.7%
8 325
 
6.4%
6 295
 
5.8%
2 285
 
5.6%
4 255
 
5.0%
3 236
 
4.6%
9 233
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 1019
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1093
17.7%
- 1019
16.5%
0 950
15.4%
1 842
13.6%
7 597
9.7%
8 325
 
5.3%
6 295
 
4.8%
2 285
 
4.6%
4 255
 
4.1%
3 236
 
3.8%
Other values (3) 287
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1093
17.7%
- 1019
16.5%
0 950
15.4%
1 842
13.6%
7 597
9.7%
8 325
 
5.3%
6 295
 
4.8%
2 285
 
4.6%
4 255
 
4.1%
3 236
 
3.8%
Other values (3) 287
 
4.6%

등록일
Date

Distinct482
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1984-06-04 00:00:00
Maximum2022-09-15 00:00:00
2023-12-12T13:11:45.733365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:11:45.907083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T13:11:40.317041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:11:40.485618image/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

등록번호업소상태상호명성명(대표자)소재지사무소전화번호등록일
0나-14-86영업중롯데부동산중개사무소김호복부산광역시 수영구 수영로606번길 99(광안동)051-753-88881984-06-04
1나-14-100영업중경북부동산중개사무소김윤현부산광역시 수영구 남천바다로21번길 3(광안동)051-753-30441984-07-04
2가-14-148영업중대진부동산중개사무소이영순부산광역시 수영구 무학로63번길 92-1(민락동)051-753-85781984-10-12
3가-14-139영업중남광부동산중개사무소류한봉부산광역시 수영구 수영로 521(광안동)051-751-27881985-09-13
426500-2017-00001영업중창성부동산중개인사무소정일창부산광역시 수영구 광서로10번길 74(광안동)<NA>1987-05-08
5가-14-140영업중성심부동산중개사무소황쌍태부산광역시 수영구 수영로 565(광안동)051-753-25611987-07-06
6가-14-110영업중영광부동산중개사무소이흥근부산광역시 수영구 감포로 87(광안동)051-755-34221987-07-29
7가-14-33영업중대영부동산중개사무소최유일부산광역시 수영구 망미로7번길 67-2(광안동)051-753-00161987-08-22
8가-14-142영업중유명공인중개사사무소이석철부산광역시 수영구 호암로29번나길 3(광안동)051-751-27821989-01-17
9가-14-8영업중천우공인중개사사무소김영식부산광역시 수영구 남천동로 6(남천동)051-621-10051989-04-10
등록번호업소상태상호명성명(대표자)소재지사무소전화번호등록일
54126500-2022-00078영업중자이우리부동산공인중개사사무소전익찬부산광역시 수영구 광안해변로 122, 126호(남천동,비치아파트상가)<NA>2022-08-19
54226500-2022-00080영업중미스터홈즈부동산중개부산수영센터김상우부산광역시 수영구 광남로 36(남천동)<NA>2022-08-22
54326500-2022-00082영업중미소공인중개사사무소강영자부산광역시 수영구 연수로 320, 1층(망미동)<NA>2022-08-22
54426500-2022-00083영업중원탑공인중개사사무소하영재부산광역시 수영구 남천동로 23, 상가 3호(남천동)051-612-61202022-08-22
54526500-2022-00079영업중동행공인중개사사무소정광동부산광역시 수영구 수영로383번길 9(남천동)<NA>2022-08-22
54626500-2022-00085영업중좋은공인중개사사무소강선연부산광역시 수영구 연수로401번길 8(수영동)051-701-89452022-09-06
54726500-2022-00086영업중신용컨설팅공인중개사사무소김계옥부산광역시 수영구 연수로310번길 74, 삼성아파트 상가동 104호(망미동)<NA>2022-09-08
54826500-2022-00088영업중파워부동산중개오현주부산광역시 수영구 망미배산로 56, 수영SK VIEW 1단지 401동 106호(망미동)051-755-55692022-09-14
54926500-2022-00089영업중파워부동산공인중개사사무소김태우부산광역시 수영구 망미배산로 56, 수영SK VIEW 1단지 401동 106호(망미동)051-755-55682022-09-14
55026500-2022-00090영업중해링턴부동산공인중개사사무소송지욱부산광역시 수영구 민락수변로 49, 광안KCC스위첸 하버뷰 101호(민락동)051-753-10012022-09-15