Overview

Dataset statistics

Number of variables7
Number of observations867
Missing cells677
Missing cells (%)11.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.5 KiB
Average record size in memory56.1 B

Variable types

Text5
Categorical2

Dataset

Description경상남도 양산시 부동산 등록번호 중개업소명 , 중개업소종별, 중개업자명, 사무실연락처, 소재주소를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065863

Alerts

직위 has constant value ""Constant
중개업소종별 is highly imbalanced (95.8%)Imbalance
사무소전화번호 has 677 (78.1%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:07:11.630175
Analysis finished2024-04-21 07:07:13.022176
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct867
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T16:07:13.650997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.967705
Min length9

Characters and Unicode

Total characters12110
Distinct characters12
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

Unique867 ?
Unique (%)100.0%

Sample

1st row가4330-1008
2nd row가4330-1011
3rd row가4330-1012
4th row가4330-1034
5th row가4330-1075
ValueCountFrequency (%)
가4330-1008 1
 
0.1%
48330-2018-00138 1
 
0.1%
48330-2019-00006 1
 
0.1%
48330-2018-00120 1
 
0.1%
48330-2018-00126 1
 
0.1%
48330-2018-00127 1
 
0.1%
48330-2018-00129 1
 
0.1%
48330-2018-00130 1
 
0.1%
48330-2018-00131 1
 
0.1%
48330-2018-00133 1
 
0.1%
Other values (857) 857
98.8%
2024-04-21T16:07:14.942400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3245
26.8%
3 1957
16.2%
- 1446
11.9%
2 1159
 
9.6%
4 1095
 
9.0%
1 1009
 
8.3%
8 823
 
6.8%
가 288
 
2.4%
7 287
 
2.4%
6 276
 
2.3%
Other values (2) 525
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10376
85.7%
Dash Punctuation 1446
 
11.9%
Other Letter 288
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3245
31.3%
3 1957
18.9%
2 1159
 
11.2%
4 1095
 
10.6%
1 1009
 
9.7%
8 823
 
7.9%
7 287
 
2.8%
6 276
 
2.7%
5 264
 
2.5%
9 261
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1446
100.0%
Other Letter
ValueCountFrequency (%)
가 288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11822
97.6%
Hangul 288
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3245
27.4%
3 1957
16.6%
- 1446
12.2%
2 1159
 
9.8%
4 1095
 
9.3%
1 1009
 
8.5%
8 823
 
7.0%
7 287
 
2.4%
6 276
 
2.3%
5 264
 
2.2%
Hangul
ValueCountFrequency (%)
가 288
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11822
97.6%
Hangul 288
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3245
27.4%
3 1957
16.6%
- 1446
12.2%
2 1159
 
9.8%
4 1095
 
9.3%
1 1009
 
8.5%
8 823
 
7.0%
7 287
 
2.4%
6 276
 
2.3%
5 264
 
2.2%
Hangul
ValueCountFrequency (%)
가 288
100.0%

사무소명
Text

Distinct863
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T16:07:15.778976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length11.636678
Min length7

Characters and Unicode

Total characters10089
Distinct characters388
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique859 ?
Unique (%)99.1%

Sample

1st row열린공인중개사사무소
2nd row하나로부동산중개인사무소
3rd row세종공인중개사사무소
4th row신도시현대공인중개사사무소
5th row이레공인중개사사무소
ValueCountFrequency (%)
신대동합동공인중개사사무소 2
 
0.2%
114합동공인중개사사무소 2
 
0.2%
좋은사람합동공인중개사사무소 2
 
0.2%
sk합동공인중개사사무소 2
 
0.2%
행복공인중개사사무소 1
 
0.1%
가촌동일스위트부동산중개사무소 1
 
0.1%
열린공인중개사사무소 1
 
0.1%
mk부동산공인중개사사무소 1
 
0.1%
새진주공인중개사사무소 1
 
0.1%
보금자리부동산공인중개사사무소 1
 
0.1%
Other values (855) 855
98.4%
2024-04-21T16:07:17.054283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1676
16.6%
개 873
 
8.7%
중 868
 
8.6%
소 850
 
8.4%
무 849
 
8.4%
인 810
 
8.0%
공 796
 
7.9%
산 329
 
3.3%
동 307
 
3.0%
부 257
 
2.5%
Other values (378) 2474
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9892
98.0%
Decimal Number 70
 
0.7%
Uppercase Letter 69
 
0.7%
Lowercase Letter 37
 
0.4%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Space Separator 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1676
16.9%
개 873
 
8.8%
중 868
 
8.8%
소 850
 
8.6%
무 849
 
8.6%
인 810
 
8.2%
공 796
 
8.0%
산 329
 
3.3%
동 307
 
3.1%
부 257
 
2.6%
Other values (341) 2277
23.0%
Uppercase Letter
ValueCountFrequency (%)
K 16
23.2%
O 9
13.0%
T 7
10.1%
C 6
 
8.7%
N 5
 
7.2%
E 5
 
7.2%
G 4
 
5.8%
S 4
 
5.8%
W 3
 
4.3%
L 2
 
2.9%
Other values (5) 8
11.6%
Decimal Number
ValueCountFrequency (%)
1 15
21.4%
8 12
17.1%
2 12
17.1%
4 9
12.9%
5 8
11.4%
3 7
10.0%
6 4
 
5.7%
7 3
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 18
48.6%
h 6
 
16.2%
c 4
 
10.8%
w 4
 
10.8%
k 2
 
5.4%
n 2
 
5.4%
t 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
& 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9886
98.0%
Latin 106
 
1.1%
Common 91
 
0.9%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1676
17.0%
개 873
 
8.8%
중 868
 
8.8%
소 850
 
8.6%
무 849
 
8.6%
인 810
 
8.2%
공 796
 
8.1%
산 329
 
3.3%
동 307
 
3.1%
부 257
 
2.6%
Other values (335) 2271
23.0%
Latin
ValueCountFrequency (%)
e 18
17.0%
K 16
15.1%
O 9
 
8.5%
T 7
 
6.6%
C 6
 
5.7%
h 6
 
5.7%
N 5
 
4.7%
E 5
 
4.7%
c 4
 
3.8%
G 4
 
3.8%
Other values (12) 26
24.5%
Common
ValueCountFrequency (%)
1 15
16.5%
8 12
13.2%
2 12
13.2%
4 9
9.9%
5 8
8.8%
3 7
7.7%
) 6
 
6.6%
( 6
 
6.6%
6 4
 
4.4%
7 3
 
3.3%
Other values (5) 9
9.9%
Han
ValueCountFrequency (%)
新 1
16.7%
世 1
16.7%
多 1
16.7%
上 1
16.7%
眞 1
16.7%
玉 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9886
98.0%
ASCII 197
 
2.0%
CJK 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1676
17.0%
개 873
 
8.8%
중 868
 
8.8%
소 850
 
8.6%
무 849
 
8.6%
인 810
 
8.2%
공 796
 
8.1%
산 329
 
3.3%
동 307
 
3.1%
부 257
 
2.6%
Other values (335) 2271
23.0%
ASCII
ValueCountFrequency (%)
e 18
 
9.1%
K 16
 
8.1%
1 15
 
7.6%
8 12
 
6.1%
2 12
 
6.1%
O 9
 
4.6%
4 9
 
4.6%
5 8
 
4.1%
T 7
 
3.6%
3 7
 
3.6%
Other values (27) 84
42.6%
CJK
ValueCountFrequency (%)
新 1
16.7%
世 1
16.7%
多 1
16.7%
上 1
16.7%
眞 1
16.7%
玉 1
16.7%

중개업소종별
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
공인중개사
861 
법인
 
4
중개인
 
2

Length

Max length5
Median length5
Mean length4.9815456
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 861
99.3%
법인 4
 
0.5%
중개인 2
 
0.2%

Length

2024-04-21T16:07:17.481810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:07:17.813882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 861
99.3%
법인 4
 
0.5%
중개인 2
 
0.2%

중개업자명
Text

Distinct840
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T16:07:19.106089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9988466
Min length2

Characters and Unicode

Total characters2600
Distinct characters189
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

Unique816 ?
Unique (%)94.1%

Sample

1st row이종필
2nd row박종우
3rd row조춘래
4th row구자국
5th row전판전
ValueCountFrequency (%)
김정미 3
 
0.3%
김정숙 3
 
0.3%
김경희 3
 
0.3%
김남수 2
 
0.2%
이수진 2
 
0.2%
김미정 2
 
0.2%
김은희 2
 
0.2%
김도연 2
 
0.2%
신민성 2
 
0.2%
박정희 2
 
0.2%
Other values (830) 844
97.3%
2024-04-21T16:07:20.868097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 196
 
7.5%
정 129
 
5.0%
이 129
 
5.0%
영 78
 
3.0%
희 70
 
2.7%
미 67
 
2.6%
숙 65
 
2.5%
박 61
 
2.3%
경 60
 
2.3%
최 49
 
1.9%
Other values (179) 1696
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2600
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 196
 
7.5%
정 129
 
5.0%
이 129
 
5.0%
영 78
 
3.0%
희 70
 
2.7%
미 67
 
2.6%
숙 65
 
2.5%
박 61
 
2.3%
경 60
 
2.3%
최 49
 
1.9%
Other values (179) 1696
65.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2600
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 196
 
7.5%
정 129
 
5.0%
이 129
 
5.0%
영 78
 
3.0%
희 70
 
2.7%
미 67
 
2.6%
숙 65
 
2.5%
박 61
 
2.3%
경 60
 
2.3%
최 49
 
1.9%
Other values (179) 1696
65.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2600
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 196
 
7.5%
정 129
 
5.0%
이 129
 
5.0%
영 78
 
3.0%
희 70
 
2.7%
미 67
 
2.6%
숙 65
 
2.5%
박 61
 
2.3%
경 60
 
2.3%
최 49
 
1.9%
Other values (179) 1696
65.2%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
대표
867 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대표 867
100.0%

Length

2024-04-21T16:07:21.276359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:07:21.583429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 867
100.0%

사무소전화번호
Text

MISSING 

Distinct190
Distinct (%)100.0%
Missing677
Missing (%)78.1%
Memory size6.9 KiB
2024-04-21T16:07:22.511037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010526
Min length12

Characters and Unicode

Total characters2282
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

Unique190 ?
Unique (%)100.0%

Sample

1st row055-381-3444
2nd row051-503-0595
3rd row051-342-2219
4th row055-385-0924
5th row055-388-4922
ValueCountFrequency (%)
055-372-4006 1
 
0.5%
055-366-1723 1
 
0.5%
051-337-1743 1
 
0.5%
051-508-3233 1
 
0.5%
055-387-3918 1
 
0.5%
055-372-1186 1
 
0.5%
055-366-2327 1
 
0.5%
055-910-6356 1
 
0.5%
055-817-6808 1
 
0.5%
055-363-9673 1
 
0.5%
Other values (180) 180
94.7%
2024-04-21T16:07:23.928115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 481
21.1%
- 380
16.7%
0 291
12.8%
3 255
11.2%
6 159
 
7.0%
8 151
 
6.6%
1 147
 
6.4%
2 121
 
5.3%
7 112
 
4.9%
4 96
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1902
83.3%
Dash Punctuation 380
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 481
25.3%
0 291
15.3%
3 255
13.4%
6 159
 
8.4%
8 151
 
7.9%
1 147
 
7.7%
2 121
 
6.4%
7 112
 
5.9%
4 96
 
5.0%
9 89
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 481
21.1%
- 380
16.7%
0 291
12.8%
3 255
11.2%
6 159
 
7.0%
8 151
 
6.6%
1 147
 
6.4%
2 121
 
5.3%
7 112
 
4.9%
4 96
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 481
21.1%
- 380
16.7%
0 291
12.8%
3 255
11.2%
6 159
 
7.0%
8 151
 
6.6%
1 147
 
6.4%
2 121
 
5.3%
7 112
 
4.9%
4 96
 
4.2%

소재지주소
Text

Distinct805
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T16:07:25.228626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length30.709343
Min length14

Characters and Unicode

Total characters26625
Distinct characters280
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

Unique755 ?
Unique (%)87.1%

Sample

1st row경상남도 양산시 물금읍 야리3길 22, 105호(미건엘리시아)
2nd row경상남도 양산시 북정로 25(북정동)
3rd row경상남도 양산시 삼성3길 11-15, 1층 일부 (북정동)
4th row경상남도 양산시 양주로 110, 115호(중부동, 현대아파트 상가)
5th row경상남도 양산시 물금읍 백호로 54, 105호
ValueCountFrequency (%)
경상남도 865
 
16.5%
양산시 865
 
16.5%
물금읍 358
 
6.8%
1층 206
 
3.9%
상가동 130
 
2.5%
일부 117
 
2.2%
동면 111
 
2.1%
백호로 41
 
0.8%
물금로 39
 
0.7%
상북면 36
 
0.7%
Other values (1071) 2472
47.2%
2024-04-21T16:07:26.860328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4373
 
16.4%
1 1549
 
5.8%
산 1170
 
4.4%
상 1158
 
4.3%
양 1086
 
4.1%
시 939
 
3.5%
남 934
 
3.5%
도 933
 
3.5%
경 872
 
3.3%
, 806
 
3.0%
Other values (270) 12805
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15882
59.7%
Space Separator 4373
 
16.4%
Decimal Number 4349
 
16.3%
Other Punctuation 807
 
3.0%
Open Punctuation 520
 
2.0%
Close Punctuation 519
 
1.9%
Dash Punctuation 99
 
0.4%
Uppercase Letter 46
 
0.2%
Lowercase Letter 30
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1170
 
7.4%
상 1158
 
7.3%
양 1086
 
6.8%
시 939
 
5.9%
남 934
 
5.9%
도 933
 
5.9%
경 872
 
5.5%
동 783
 
4.9%
로 604
 
3.8%
호 572
 
3.6%
Other values (233) 6831
43.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
50.0%
c 5
 
16.7%
t 2
 
6.7%
y 1
 
3.3%
i 1
 
3.3%
h 1
 
3.3%
p 1
 
3.3%
l 1
 
3.3%
u 1
 
3.3%
s 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 1549
35.6%
0 553
 
12.7%
2 434
 
10.0%
3 381
 
8.8%
5 332
 
7.6%
4 295
 
6.8%
6 252
 
5.8%
7 222
 
5.1%
8 166
 
3.8%
9 165
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 20
43.5%
A 10
21.7%
N 4
 
8.7%
I 2
 
4.3%
E 2
 
4.3%
C 2
 
4.3%
K 2
 
4.3%
D 2
 
4.3%
J 1
 
2.2%
L 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 806
99.9%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4373
100.0%
Open Punctuation
ValueCountFrequency (%)
( 520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15882
59.7%
Common 10667
40.1%
Latin 76
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1170
 
7.4%
상 1158
 
7.3%
양 1086
 
6.8%
시 939
 
5.9%
남 934
 
5.9%
도 933
 
5.9%
경 872
 
5.5%
동 783
 
4.9%
로 604
 
3.8%
호 572
 
3.6%
Other values (233) 6831
43.0%
Latin
ValueCountFrequency (%)
B 20
26.3%
e 15
19.7%
A 10
13.2%
c 5
 
6.6%
N 4
 
5.3%
I 2
 
2.6%
E 2
 
2.6%
C 2
 
2.6%
t 2
 
2.6%
K 2
 
2.6%
Other values (11) 12
15.8%
Common
ValueCountFrequency (%)
4373
41.0%
1 1549
 
14.5%
, 806
 
7.6%
0 553
 
5.2%
( 520
 
4.9%
) 519
 
4.9%
2 434
 
4.1%
3 381
 
3.6%
5 332
 
3.1%
4 295
 
2.8%
Other values (6) 905
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15882
59.7%
ASCII 10743
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4373
40.7%
1 1549
 
14.4%
, 806
 
7.5%
0 553
 
5.1%
( 520
 
4.8%
) 519
 
4.8%
2 434
 
4.0%
3 381
 
3.5%
5 332
 
3.1%
4 295
 
2.7%
Other values (27) 981
 
9.1%
Hangul
ValueCountFrequency (%)
산 1170
 
7.4%
상 1158
 
7.3%
양 1086
 
6.8%
시 939
 
5.9%
남 934
 
5.9%
도 933
 
5.9%
경 872
 
5.5%
동 783
 
4.9%
로 604
 
3.8%
호 572
 
3.6%
Other values (233) 6831
43.0%

Missing values

2024-04-21T16:07:12.478219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:07:12.871939image/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

등록번호사무소명중개업소종별중개업자명직위사무소전화번호소재지주소
0가4330-1008열린공인중개사사무소공인중개사이종필대표<NA>경상남도 양산시 물금읍 야리3길 22, 105호(미건엘리시아)
1가4330-1011하나로부동산중개인사무소중개인박종우대표<NA>경상남도 양산시 북정로 25(북정동)
2가4330-1012세종공인중개사사무소공인중개사조춘래대표<NA>경상남도 양산시 삼성3길 11-15, 1층 일부 (북정동)
3가4330-1034신도시현대공인중개사사무소공인중개사구자국대표055-381-3444경상남도 양산시 양주로 110, 115호(중부동, 현대아파트 상가)
4가4330-1075이레공인중개사사무소공인중개사전판전대표051-503-0595경상남도 양산시 물금읍 백호로 54, 105호
5가4330-1107금당공인중개사사무소공인중개사장성근대표051-342-2219경상남도 양산시 물금읍 황산로 647
6가4330-1115에이스공인중개사사무소공인중개사최도석대표<NA>경상남도 양산시 평산로 10(평산동)
7가4330-1140신세계공인중개사사무소공인중개사손한익대표055-385-0924경상남도 양산시 신기서길 31, 101호(신기동, 신기주공아파트 판매동)
8가4330-1143최정식공인중개사사무소공인중개사최정식대표055-388-4922경상남도 양산시 북정로 10, 2층 B동(북정동)
9가4330-1146대정공인중개사사무소공인중개사최귀호대표055-384-7681경상남도 양산시 하북면 통도사로 7(하북면)
등록번호사무소명중개업소종별중개업자명직위사무소전화번호소재지주소
85748330-2021-00096석계위브 부동산중개공인중개사이채분대표055-292-1377경상남도 양산시 상북면 상북중앙로 404, 1층 일부
85848330-2021-00097까치공인중개사사무소공인중개사추미숙대표<NA>경상남도 양산시 신덕계5길 23-6, 1층(덕계동,보문빌딩)
85948330-2021-00098kcc미래도시공인중개사사무소공인중개사장영심대표<NA>경상남도 양산시 평산회야로 167, 상가동 104호(평산동, 양산평산kcc스위첸)
86048330-2021-00099집사랑부동산중개사무소공인중개사이은희대표<NA>경상남도 양산시 신덕계로 34, 상가동 102호(덕계동, 경동스마트홈)
86148330-2021-00100화제까치공인중개사사무소공인중개사이은자대표<NA>경상남도 양산시 원동면 화제로 8, 1층 일부
86248330-2021-00101사송그린공인중개사사무소공인중개사신연미대표<NA>경상남도 양산시 동면 내송로 16, B동 1층 일부
86348330-2021-00102국정공인중개사사무소공인중개사장선희대표<NA>경상남도 양산시 삼호로 17, 1층
86448330-2021-00103영재공인중개사사무소공인중개사나경아대표<NA>경상남도 양산시 물금읍 백호로 155, 411동 113호
86548330-2021-00104칠번가공인중개사사무소공인중개사허상현대표<NA>경상남도 양산시 웅상대로 1086, 1층 (주진동)
86648330-2021-00105단골공인중개사사무소공인중개사김지현대표<NA>경상남도 양산시 덕계로 129, 1층