Overview

Dataset statistics

Number of variables6
Number of observations430
Missing cells294
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.7 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text5

Dataset

Description부산광역시 북구 소재 관내 등록된 부동산 중개업소 관련 주요 현황(등록번호, 업소명, 대표자, 전화번호, 소재지 등) 정보 제공
Author부산광역시 북구
URLhttps://www.data.go.kr/data/3069548/fileData.do

Alerts

전화 has 294 (68.4%) missing valuesMissing
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:14:07.231165
Analysis finished2023-12-12 06:14:08.196997
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct430
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.5
Minimum1
Maximum430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-12T15:14:08.287654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.45
Q1108.25
median215.5
Q3322.75
95-th percentile408.55
Maximum430
Range429
Interquartile range (IQR)214.5

Descriptive statistics

Standard deviation124.27456
Coefficient of variation (CV)0.5766801
Kurtosis-1.2
Mean215.5
Median Absolute Deviation (MAD)107.5
Skewness0
Sum92665
Variance15444.167
MonotonicityStrictly increasing
2023-12-12T15:14:08.444184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
297 1
 
0.2%
295 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
Other values (420) 420
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
430 1
0.2%
429 1
0.2%
428 1
0.2%
427 1
0.2%
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%
422 1
0.2%
421 1
0.2%

등록번호
Text

UNIQUE 

Distinct430
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T15:14:08.643876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length13.144186
Min length8

Characters and Unicode

Total characters5652
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

Unique430 ?
Unique (%)100.0%

Sample

1st row가-09-141
2nd row가-09-173
3rd row가-09-2147
4th row가-09-385
5th row가-09-369
ValueCountFrequency (%)
가-09-141 1
 
0.2%
26320-2018-00076 1
 
0.2%
26320-2018-00072 1
 
0.2%
26320-2018-00071 1
 
0.2%
26320-2018-00063 1
 
0.2%
26320-2018-00060 1
 
0.2%
26320-2018-00056 1
 
0.2%
26320-2018-00054 1
 
0.2%
26320-2018-00047 1
 
0.2%
26320-2018-00046 1
 
0.2%
Other values (420) 420
97.7%
2023-12-12T15:14:08.999727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1600
28.3%
2 1108
19.6%
- 860
15.2%
3 393
 
7.0%
1 389
 
6.9%
6 363
 
6.4%
9 265
 
4.7%
가 174
 
3.1%
5 144
 
2.5%
4 126
 
2.2%
Other values (2) 230
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4618
81.7%
Dash Punctuation 860
 
15.2%
Other Letter 174
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1600
34.6%
2 1108
24.0%
3 393
 
8.5%
1 389
 
8.4%
6 363
 
7.9%
9 265
 
5.7%
5 144
 
3.1%
4 126
 
2.7%
7 120
 
2.6%
8 110
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 860
100.0%
Other Letter
ValueCountFrequency (%)
가 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5478
96.9%
Hangul 174
 
3.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1600
29.2%
2 1108
20.2%
- 860
15.7%
3 393
 
7.2%
1 389
 
7.1%
6 363
 
6.6%
9 265
 
4.8%
5 144
 
2.6%
4 126
 
2.3%
7 120
 
2.2%
Hangul
ValueCountFrequency (%)
가 174
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5478
96.9%
Hangul 174
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1600
29.2%
2 1108
20.2%
- 860
15.7%
3 393
 
7.2%
1 389
 
7.1%
6 363
 
6.6%
9 265
 
4.8%
5 144
 
2.6%
4 126
 
2.3%
7 120
 
2.2%
Hangul
ValueCountFrequency (%)
가 174
100.0%

상호명
Text

Distinct381
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T15:14:09.239150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length11.013953
Min length7

Characters and Unicode

Total characters4736
Distinct characters263
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique344 ?
Unique (%)80.0%

Sample

1st row한일부동산중개인사무소
2nd row번영부동산중개인사무소
3rd row신흥부동산중개인사무소
4th row금성부동산중개인사무소
5th row화명부동산중개인사무소
ValueCountFrequency (%)
공인중개사사무소 13
 
2.9%
하나공인중개사사무소 4
 
0.9%
조은공인중개사사무소 4
 
0.9%
탑공인중개사사무소 3
 
0.7%
행복공인중개사사무소 3
 
0.7%
제일공인중개사사무소 3
 
0.7%
부자공인중개사사무소 3
 
0.7%
양지공인중개사사무소 3
 
0.7%
미래공인중개사사무소 3
 
0.7%
현대공인중개사사무소 3
 
0.7%
Other values (375) 404
90.6%
2023-12-12T15:14:09.867457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 824
17.4%
중 431
 
9.1%
개 430
 
9.1%
소 429
 
9.1%
무 425
 
9.0%
인 407
 
8.6%
공 397
 
8.4%
동 98
 
2.1%
부 87
 
1.8%
산 73
 
1.5%
Other values (253) 1135
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4673
98.7%
Decimal Number 27
 
0.6%
Space Separator 16
 
0.3%
Uppercase Letter 10
 
0.2%
Lowercase Letter 7
 
0.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 824
17.6%
중 431
9.2%
개 430
9.2%
소 429
9.2%
무 425
 
9.1%
인 407
 
8.7%
공 397
 
8.5%
동 98
 
2.1%
부 87
 
1.9%
산 73
 
1.6%
Other values (234) 1072
22.9%
Uppercase Letter
ValueCountFrequency (%)
O 2
20.0%
I 2
20.0%
K 2
20.0%
P 1
10.0%
T 1
10.0%
J 1
10.0%
V 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 19
70.4%
8 4
 
14.8%
5 1
 
3.7%
3 1
 
3.7%
4 1
 
3.7%
9 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
85.7%
h 1
 
14.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4673
98.7%
Common 46
 
1.0%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 824
17.6%
중 431
9.2%
개 430
9.2%
소 429
9.2%
무 425
 
9.1%
인 407
 
8.7%
공 397
 
8.5%
동 98
 
2.1%
부 87
 
1.9%
산 73
 
1.6%
Other values (234) 1072
22.9%
Common
ValueCountFrequency (%)
1 19
41.3%
16
34.8%
8 4
 
8.7%
5 1
 
2.2%
3 1
 
2.2%
· 1
 
2.2%
) 1
 
2.2%
( 1
 
2.2%
4 1
 
2.2%
9 1
 
2.2%
Latin
ValueCountFrequency (%)
e 6
35.3%
O 2
 
11.8%
I 2
 
11.8%
K 2
 
11.8%
P 1
 
5.9%
h 1
 
5.9%
T 1
 
5.9%
J 1
 
5.9%
V 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4673
98.7%
ASCII 62
 
1.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 824
17.6%
중 431
9.2%
개 430
9.2%
소 429
9.2%
무 425
 
9.1%
인 407
 
8.7%
공 397
 
8.5%
동 98
 
2.1%
부 87
 
1.9%
산 73
 
1.6%
Other values (234) 1072
22.9%
ASCII
ValueCountFrequency (%)
1 19
30.6%
16
25.8%
e 6
 
9.7%
8 4
 
6.5%
O 2
 
3.2%
I 2
 
3.2%
K 2
 
3.2%
5 1
 
1.6%
P 1
 
1.6%
h 1
 
1.6%
Other values (8) 8
12.9%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

Distinct421
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T15:14:10.248301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9883721
Min length2

Characters and Unicode

Total characters1285
Distinct characters161
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

Unique414 ?
Unique (%)96.3%

Sample

1st row황무삼
2nd row구성회
3rd row이동수
4th row이나형
5th row손열
ValueCountFrequency (%)
김혜진 3
 
0.7%
김미옥 3
 
0.7%
김태희 2
 
0.5%
이선희 2
 
0.5%
이경숙 2
 
0.5%
김민주 2
 
0.5%
정연우 2
 
0.5%
김순창 1
 
0.2%
신경아 1
 
0.2%
이하정 1
 
0.2%
Other values (411) 411
95.6%
2023-12-12T15:14:10.729846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 90
 
7.0%
정 79
 
6.1%
이 76
 
5.9%
미 41
 
3.2%
박 37
 
2.9%
영 35
 
2.7%
희 34
 
2.6%
숙 32
 
2.5%
경 30
 
2.3%
순 27
 
2.1%
Other values (151) 804
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1285
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 90
 
7.0%
정 79
 
6.1%
이 76
 
5.9%
미 41
 
3.2%
박 37
 
2.9%
영 35
 
2.7%
희 34
 
2.6%
숙 32
 
2.5%
경 30
 
2.3%
순 27
 
2.1%
Other values (151) 804
62.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1285
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 90
 
7.0%
정 79
 
6.1%
이 76
 
5.9%
미 41
 
3.2%
박 37
 
2.9%
영 35
 
2.7%
희 34
 
2.6%
숙 32
 
2.5%
경 30
 
2.3%
순 27
 
2.1%
Other values (151) 804
62.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1285
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 90
 
7.0%
정 79
 
6.1%
이 76
 
5.9%
미 41
 
3.2%
박 37
 
2.9%
영 35
 
2.7%
희 34
 
2.6%
숙 32
 
2.5%
경 30
 
2.3%
순 27
 
2.1%
Other values (151) 804
62.6%

소재지
Text

Distinct390
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T15:14:11.010217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length35.023256
Min length19

Characters and Unicode

Total characters15060
Distinct characters218
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)83.0%

Sample

1st row부산광역시 북구 금곡대로 219(화명동)
2nd row부산광역시 북구 만덕1로24번길 8, 42·43호(만덕동, 만덕시장점포)
3rd row부산광역시 북구 화명대로 10, 상가 101호(화명동, 상뜨레뷰)
4th row부산광역시 북구 덕천로 197(만덕동)
5th row부산광역시 북구 금곡대로324번길 13(화명동)
ValueCountFrequency (%)
부산광역시 430
 
17.5%
북구 430
 
17.5%
금곡대로 67
 
2.7%
상가 44
 
1.8%
상가동 42
 
1.7%
화명신도시로 35
 
1.4%
백양대로 29
 
1.2%
166 29
 
1.2%
903동(상가 25
 
1.0%
산성로 16
 
0.7%
Other values (637) 1314
53.4%
2023-12-12T15:14:11.404773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2031
 
13.5%
1 751
 
5.0%
동 636
 
4.2%
, 547
 
3.6%
구 517
 
3.4%
시 488
 
3.2%
산 478
 
3.2%
) 457
 
3.0%
( 457
 
3.0%
로 435
 
2.9%
Other values (208) 8263
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8920
59.2%
Decimal Number 2568
 
17.1%
Space Separator 2031
 
13.5%
Other Punctuation 549
 
3.6%
Close Punctuation 457
 
3.0%
Open Punctuation 457
 
3.0%
Dash Punctuation 58
 
0.4%
Uppercase Letter 18
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 636
 
7.1%
구 517
 
5.8%
시 488
 
5.5%
산 478
 
5.4%
로 435
 
4.9%
부 435
 
4.9%
북 435
 
4.9%
역 433
 
4.9%
광 431
 
4.8%
호 281
 
3.2%
Other values (187) 4351
48.8%
Decimal Number
ValueCountFrequency (%)
1 751
29.2%
0 410
16.0%
2 347
13.5%
3 243
 
9.5%
6 193
 
7.5%
4 150
 
5.8%
7 132
 
5.1%
9 121
 
4.7%
8 118
 
4.6%
5 103
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 547
99.6%
@ 1
 
0.2%
· 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 9
50.0%
A 5
27.8%
C 4
22.2%
Space Separator
ValueCountFrequency (%)
2031
100.0%
Close Punctuation
ValueCountFrequency (%)
) 457
100.0%
Open Punctuation
ValueCountFrequency (%)
( 457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8920
59.2%
Common 6120
40.6%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 636
 
7.1%
구 517
 
5.8%
시 488
 
5.5%
산 478
 
5.4%
로 435
 
4.9%
부 435
 
4.9%
북 435
 
4.9%
역 433
 
4.9%
광 431
 
4.8%
호 281
 
3.2%
Other values (187) 4351
48.8%
Common
ValueCountFrequency (%)
2031
33.2%
1 751
 
12.3%
, 547
 
8.9%
) 457
 
7.5%
( 457
 
7.5%
0 410
 
6.7%
2 347
 
5.7%
3 243
 
4.0%
6 193
 
3.2%
4 150
 
2.5%
Other values (7) 534
 
8.7%
Latin
ValueCountFrequency (%)
B 9
45.0%
A 5
25.0%
C 4
20.0%
e 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8920
59.2%
ASCII 6139
40.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2031
33.1%
1 751
 
12.2%
, 547
 
8.9%
) 457
 
7.4%
( 457
 
7.4%
0 410
 
6.7%
2 347
 
5.7%
3 243
 
4.0%
6 193
 
3.1%
4 150
 
2.4%
Other values (10) 553
 
9.0%
Hangul
ValueCountFrequency (%)
동 636
 
7.1%
구 517
 
5.8%
시 488
 
5.5%
산 478
 
5.4%
로 435
 
4.9%
부 435
 
4.9%
북 435
 
4.9%
역 433
 
4.9%
광 431
 
4.8%
호 281
 
3.2%
Other values (187) 4351
48.8%
None
ValueCountFrequency (%)
· 1
100.0%

전화
Text

MISSING 

Distinct134
Distinct (%)98.5%
Missing294
Missing (%)68.4%
Memory size3.5 KiB
2023-12-12T15:14:11.686872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014706
Min length12

Characters and Unicode

Total characters1634
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

Unique132 ?
Unique (%)97.1%

Sample

1st row051-334-5187
2nd row051-332-4276
3rd row051-332-7397
4th row051-334-0164
5th row051-331-8600
ValueCountFrequency (%)
051-343-8889 2
 
1.5%
051-363-7800 2
 
1.5%
051-338-7888 1
 
0.7%
051-331-7890 1
 
0.7%
051-332-2316 1
 
0.7%
051-261-7007 1
 
0.7%
051-337-3371 1
 
0.7%
051-365-4588 1
 
0.7%
051-937-0864 1
 
0.7%
051-343-8797 1
 
0.7%
Other values (124) 124
91.2%
2023-12-12T15:14:12.077992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 272
16.6%
3 267
16.3%
0 237
14.5%
1 210
12.9%
5 196
12.0%
6 90
 
5.5%
8 84
 
5.1%
4 81
 
5.0%
2 74
 
4.5%
7 69
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1362
83.4%
Dash Punctuation 272
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 267
19.6%
0 237
17.4%
1 210
15.4%
5 196
14.4%
6 90
 
6.6%
8 84
 
6.2%
4 81
 
5.9%
2 74
 
5.4%
7 69
 
5.1%
9 54
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1634
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 272
16.6%
3 267
16.3%
0 237
14.5%
1 210
12.9%
5 196
12.0%
6 90
 
5.5%
8 84
 
5.1%
4 81
 
5.0%
2 74
 
4.5%
7 69
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 272
16.6%
3 267
16.3%
0 237
14.5%
1 210
12.9%
5 196
12.0%
6 90
 
5.5%
8 84
 
5.1%
4 81
 
5.0%
2 74
 
4.5%
7 69
 
4.2%

Interactions

2023-12-12T15:14:07.789614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T15:14:08.028989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:14:08.147635image/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

연번등록번호상호명대표자소재지전화
01가-09-141한일부동산중개인사무소황무삼부산광역시 북구 금곡대로 219(화명동)051-334-5187
12가-09-173번영부동산중개인사무소구성회부산광역시 북구 만덕1로24번길 8, 42·43호(만덕동, 만덕시장점포)051-332-4276
23가-09-2147신흥부동산중개인사무소이동수부산광역시 북구 화명대로 10, 상가 101호(화명동, 상뜨레뷰)<NA>
34가-09-385금성부동산중개인사무소이나형부산광역시 북구 덕천로 197(만덕동)051-332-7397
45가-09-369화명부동산중개인사무소손열부산광역시 북구 금곡대로324번길 13(화명동)051-334-0164
56가-09-1980월드공인중개사사무소서갑연부산광역시 북구 만덕대로 153, 상가2동 102호(덕천동, 삼정그린코아아파트)<NA>
67가-09-461한일공인중개사사무소김형오부산광역시 북구 백양대로 1102, 2층(구포동)051-331-8600
78가-09-714청산공인중개사사무소주금란부산광역시 북구 덕천로234번길 24, 상가1-111호(만덕동, 럭키아파트)051-333-8518
89가-09-852신한국공인중개사사무소이수영부산광역시 북구 백양대로 1003, 상가129호(구포동, 현대아파트)051-334-0303
910가-09-931신도시공인중개사사무소권영재부산광역시 북구 효열로 219(금곡동)051-362-3600
연번등록번호상호명대표자소재지전화
42042126320-2021-00052한백공인중개사사무소정태근부산광역시 북구 화명대로 5, 아덴펜트하우스 상가 102호<NA>
42142226320-2021-00053한밭공인중개사사무소이상모부산광역시 북구 백양대로 1136, 114동209호<NA>
42242326320-2021-00054동원1공인중개사사무소이정곤부산광역시 북구 금곡대로 166, 903동 B118호(화명동, 롯데캐슬카이저)051-338-3394
42342426320-2021-00055양지공인중개사사무소김가정부산광역시 북구 상학로 36, 상가1동 102호 (만덕동,이편한세상금정산)<NA>
42442526320-2021-00056대림영재공인중개사사무소이순례부산광역시 북구 금곡대로 270, 상가동 119호(화명동, 화명동대림타운)<NA>
42542626320-2021-00057하늘1공인중개사사무소정희원부산광역시 북구 금곡대로 166, 903동 121-2호(화명동,롯데캐스카이저)<NA>
42642726320-2017-00046크리스탈부동산중개법인이상훈부산광역시 북구 학사로 8, 112호(화명동, 크리스탈타워)051-362-6660
42742826320-2021-00012우리집부동산중개법인주식회사김현순부산광역시 북구 금곡대로 166, 903동(상가) 221호(화명동, 화명롯데캐슬카이저)<NA>
42842926320-2019-00057주식회사 제이에이치부동산중개법인이준호부산광역시 북구 학사로 140, 414호(화명동, 덕진 상뜨레-뷰 앙코르)<NA>
42943026320-2019-00021대경부동산중개법인주식회사정윤채부산광역시 북구 금곡대로8번길 87, 103동 102호(덕천동, 덕천역이즈카운티)051-322-4997