Overview

Dataset statistics

Number of variables9
Number of observations164
Missing cells77
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory73.8 B

Variable types

Numeric1
Text4
Categorical4

Dataset

Description동구 부동산 중개업소 등록 현황에 대한 데이터로 사무소명, 행정처분상태, 중개업자명, 직위, 중개업자구분, 사무실전화번호, 사무소주소가 있습니다.
Author울산광역시 동구
URLhttps://www.data.go.kr/data/3075888/fileData.do

Alerts

행정처분상태 has constant value ""Constant
직위 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 중개업자구분High correlation
중개업자구분 is highly overall correlated with 연번High correlation
중개업자구분 is highly imbalanced (77.4%)Imbalance
사무소전화번호 has 77 (47.0%) missing valuesMissing
연번 has unique valuesUnique
사무소명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 14:01:06.628025
Analysis finished2024-04-21 14:01:07.894087
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.5
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T23:01:08.019397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.15
Q141.75
median82.5
Q3123.25
95-th percentile155.85
Maximum164
Range163
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation47.48684
Coefficient of variation (CV)0.57559806
Kurtosis-1.2
Mean82.5
Median Absolute Deviation (MAD)41
Skewness0
Sum13530
Variance2255
MonotonicityStrictly increasing
2024-04-21T23:01:08.276541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (154) 154
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%

사무소명
Text

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T23:01:08.958543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length10.981707
Min length9

Characters and Unicode

Total characters1801
Distinct characters188
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)100.0%

Sample

1st row꽃마을부동산중개인사무소
2nd row영원부동산중개인사무소
3rd row매일부동산중개사무소
4th row인보부동산중개사무소
5th row백운부동산중개사무소
ValueCountFrequency (%)
공인중개사사무소 2
 
1.2%
꽃마을부동산중개인사무소 1
 
0.6%
유니자이공인중개사사무소 1
 
0.6%
더좋은자이공인중개사사무소 1
 
0.6%
kcc자이합동공인중개사무소 1
 
0.6%
금탑공인중개사사무소 1
 
0.6%
쌍둥이공인중개사사무소 1
 
0.6%
우리들공인중개사사무소 1
 
0.6%
행복한리치공인중개사사무소 1
 
0.6%
힐스테이트공인중개사사무소 1
 
0.6%
Other values (155) 155
93.4%
2024-04-21T23:01:09.864769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 311
17.3%
소 167
 
9.3%
개 165
 
9.2%
중 164
 
9.1%
무 164
 
9.1%
인 154
 
8.6%
공 149
 
8.3%
동 31
 
1.7%
부 27
 
1.5%
이 24
 
1.3%
Other values (178) 445
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1770
98.3%
Uppercase Letter 21
 
1.2%
Decimal Number 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Space Separator 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 311
17.6%
소 167
9.4%
개 165
 
9.3%
중 164
 
9.3%
무 164
 
9.3%
인 154
 
8.7%
공 149
 
8.4%
동 31
 
1.8%
부 27
 
1.5%
이 24
 
1.4%
Other values (165) 414
23.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
28.6%
K 4
19.0%
L 3
14.3%
B 3
14.3%
A 3
14.3%
G 1
 
4.8%
O 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
8 2
66.7%
2 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1770
98.3%
Latin 22
 
1.2%
Common 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 311
17.6%
소 167
9.4%
개 165
 
9.3%
중 164
 
9.3%
무 164
 
9.3%
인 154
 
8.7%
공 149
 
8.4%
동 31
 
1.8%
부 27
 
1.5%
이 24
 
1.4%
Other values (165) 414
23.4%
Latin
ValueCountFrequency (%)
C 6
27.3%
K 4
18.2%
L 3
13.6%
B 3
13.6%
A 3
13.6%
G 1
 
4.5%
O 1
 
4.5%
e 1
 
4.5%
Common
ValueCountFrequency (%)
) 2
22.2%
( 2
22.2%
2
22.2%
8 2
22.2%
2 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1770
98.3%
ASCII 31
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 311
17.6%
소 167
9.4%
개 165
 
9.3%
중 164
 
9.3%
무 164
 
9.3%
인 154
 
8.7%
공 149
 
8.4%
동 31
 
1.8%
부 27
 
1.5%
이 24
 
1.4%
Other values (165) 414
23.4%
ASCII
ValueCountFrequency (%)
C 6
19.4%
K 4
12.9%
L 3
9.7%
B 3
9.7%
A 3
9.7%
) 2
 
6.5%
( 2
 
6.5%
2
 
6.5%
8 2
 
6.5%
2 1
 
3.2%
Other values (3) 3
9.7%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
164 

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 164
100.0%

Length

2024-04-21T23:01:10.089908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:01:10.268834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 164
100.0%

중개업자명
Text

Distinct163
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T23:01:11.368453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters492
Distinct characters114
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

Unique162 ?
Unique (%)98.8%

Sample

1st row김영근
2nd row권재원
3rd row장병희
4th row김한수
5th row김진영
ValueCountFrequency (%)
김미화 2
 
1.2%
오진석 1
 
0.6%
강지선 1
 
0.6%
박은주 1
 
0.6%
정수근 1
 
0.6%
이은희 1
 
0.6%
김좌권 1
 
0.6%
권명교 1
 
0.6%
김수영 1
 
0.6%
이선아 1
 
0.6%
Other values (153) 153
93.3%
2024-04-21T23:01:12.713780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 39
 
7.9%
정 21
 
4.3%
이 18
 
3.7%
박 16
 
3.3%
경 16
 
3.3%
영 16
 
3.3%
은 15
 
3.0%
희 15
 
3.0%
수 14
 
2.8%
숙 12
 
2.4%
Other values (104) 310
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 39
 
7.9%
정 21
 
4.3%
이 18
 
3.7%
박 16
 
3.3%
경 16
 
3.3%
영 16
 
3.3%
은 15
 
3.0%
희 15
 
3.0%
수 14
 
2.8%
숙 12
 
2.4%
Other values (104) 310
63.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 39
 
7.9%
정 21
 
4.3%
이 18
 
3.7%
박 16
 
3.3%
경 16
 
3.3%
영 16
 
3.3%
은 15
 
3.0%
희 15
 
3.0%
수 14
 
2.8%
숙 12
 
2.4%
Other values (104) 310
63.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 39
 
7.9%
정 21
 
4.3%
이 18
 
3.7%
박 16
 
3.3%
경 16
 
3.3%
영 16
 
3.3%
은 15
 
3.0%
희 15
 
3.0%
수 14
 
2.8%
숙 12
 
2.4%
Other values (104) 310
63.0%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
대표
164 

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 164
100.0%

Length

2024-04-21T23:01:12.938083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:01:13.110030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 164
100.0%

중개업자구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공인중개사
158 
중개인
 
6

Length

Max length5
Median length5
Mean length4.9268293
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공인중개사 158
96.3%
중개인 6
 
3.7%

Length

2024-04-21T23:01:13.304703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:01:13.504838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공인중개사 158
96.3%
중개인 6
 
3.7%

사무소전화번호
Text

MISSING 

Distinct86
Distinct (%)98.9%
Missing77
Missing (%)47.0%
Memory size1.4 KiB
2024-04-21T23:01:14.187619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011494
Min length12

Characters and Unicode

Total characters1045
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)97.7%

Sample

1st row052-201-3300
2nd row052-234-7746
3rd row052-233-0222
4th row052-234-4466
5th row052-201-4985
ValueCountFrequency (%)
052-236-0002 2
 
2.3%
052-251-8890 1
 
1.1%
052-233-8943 1
 
1.1%
052-232-4131 1
 
1.1%
052-201-8446 1
 
1.1%
052-234-1400 1
 
1.1%
052-233-3373 1
 
1.1%
052-201-3320 1
 
1.1%
052-201-4982 1
 
1.1%
052-232-5683 1
 
1.1%
Other values (76) 76
87.4%
2024-04-21T23:01:15.116301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 229
21.9%
0 180
17.2%
- 174
16.7%
5 138
13.2%
3 84
 
8.0%
8 44
 
4.2%
4 44
 
4.2%
9 40
 
3.8%
1 39
 
3.7%
6 38
 
3.6%
Other values (2) 35
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 870
83.3%
Dash Punctuation 174
 
16.7%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 229
26.3%
0 180
20.7%
5 138
15.9%
3 84
 
9.7%
8 44
 
5.1%
4 44
 
5.1%
9 40
 
4.6%
1 39
 
4.5%
6 38
 
4.4%
7 34
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 229
21.9%
0 180
17.2%
- 174
16.7%
5 138
13.2%
3 84
 
8.0%
8 44
 
4.2%
4 44
 
4.2%
9 40
 
3.8%
1 39
 
3.7%
6 38
 
3.6%
Other values (2) 35
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 229
21.9%
0 180
17.2%
- 174
16.7%
5 138
13.2%
3 84
 
8.0%
8 44
 
4.2%
4 44
 
4.2%
9 40
 
3.8%
1 39
 
3.7%
6 38
 
3.6%
Other values (2) 35
 
3.3%

사무소주소
Text

Distinct153
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T23:01:15.778313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46.5
Mean length29.713415
Min length16

Characters and Unicode

Total characters4873
Distinct characters141
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

Unique143 ?
Unique (%)87.2%

Sample

1st row울산광역시 동구 문현로 58(방어동)
2nd row울산광역시 동구 학문로 13(일산동)
3rd row울산광역시 동구 대학길 142(화정동)
4th row울산광역시 동구 진성9길 62(전하동)
5th row울산광역시 동구 방어진순환도로 497, 201호(방어동)
ValueCountFrequency (%)
울산광역시 164
 
18.9%
동구 164
 
18.9%
서부로 18
 
2.1%
1동 17
 
2.0%
봉수로 16
 
1.8%
방어진순환도로 15
 
1.7%
51 15
 
1.7%
신영울산지웰시티자이2단지상가 15
 
1.7%
화진길 11
 
1.3%
100 10
 
1.2%
Other values (258) 422
48.7%
2024-04-21T23:01:16.675540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
721
 
14.8%
동 392
 
8.0%
1 224
 
4.6%
산 189
 
3.9%
시 188
 
3.9%
울 183
 
3.8%
광 164
 
3.4%
역 164
 
3.4%
구 164
 
3.4%
) 163
 
3.3%
Other values (131) 2321
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2910
59.7%
Decimal Number 742
 
15.2%
Space Separator 721
 
14.8%
Close Punctuation 163
 
3.3%
Open Punctuation 163
 
3.3%
Other Punctuation 128
 
2.6%
Uppercase Letter 32
 
0.7%
Dash Punctuation 10
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 392
 
13.5%
산 189
 
6.5%
시 188
 
6.5%
울 183
 
6.3%
광 164
 
5.6%
역 164
 
5.6%
구 164
 
5.6%
로 85
 
2.9%
길 79
 
2.7%
호 68
 
2.3%
Other values (104) 1234
42.4%
Decimal Number
ValueCountFrequency (%)
1 224
30.2%
0 116
15.6%
2 87
 
11.7%
5 76
 
10.2%
3 69
 
9.3%
4 54
 
7.3%
7 37
 
5.0%
6 36
 
4.9%
9 27
 
3.6%
8 16
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 20
62.5%
A 4
 
12.5%
V 1
 
3.1%
I 1
 
3.1%
C 1
 
3.1%
G 1
 
3.1%
D 1
 
3.1%
P 1
 
3.1%
R 1
 
3.1%
K 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 127
99.2%
' 1
 
0.8%
Space Separator
ValueCountFrequency (%)
721
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2910
59.7%
Common 1927
39.5%
Latin 36
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 392
 
13.5%
산 189
 
6.5%
시 188
 
6.5%
울 183
 
6.3%
광 164
 
5.6%
역 164
 
5.6%
구 164
 
5.6%
로 85
 
2.9%
길 79
 
2.7%
호 68
 
2.3%
Other values (104) 1234
42.4%
Common
ValueCountFrequency (%)
721
37.4%
1 224
 
11.6%
) 163
 
8.5%
( 163
 
8.5%
, 127
 
6.6%
0 116
 
6.0%
2 87
 
4.5%
5 76
 
3.9%
3 69
 
3.6%
4 54
 
2.8%
Other values (6) 127
 
6.6%
Latin
ValueCountFrequency (%)
B 20
55.6%
e 4
 
11.1%
A 4
 
11.1%
V 1
 
2.8%
I 1
 
2.8%
C 1
 
2.8%
G 1
 
2.8%
D 1
 
2.8%
P 1
 
2.8%
R 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2910
59.7%
ASCII 1963
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
721
36.7%
1 224
 
11.4%
) 163
 
8.3%
( 163
 
8.3%
, 127
 
6.5%
0 116
 
5.9%
2 87
 
4.4%
5 76
 
3.9%
3 69
 
3.5%
4 54
 
2.8%
Other values (17) 163
 
8.3%
Hangul
ValueCountFrequency (%)
동 392
 
13.5%
산 189
 
6.5%
시 188
 
6.5%
울 183
 
6.3%
광 164
 
5.6%
역 164
 
5.6%
구 164
 
5.6%
로 85
 
2.9%
길 79
 
2.7%
호 68
 
2.3%
Other values (104) 1234
42.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-31
164 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 164
100.0%

Length

2024-04-21T23:01:17.376671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:01:17.688222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 164
100.0%

Interactions

2024-04-21T23:01:07.195542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T23:01:17.872575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분사무소전화번호
연번1.0000.6901.000
중개업자구분0.6901.0001.000
사무소전화번호1.0001.0001.000
2024-04-21T23:01:18.106212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중개업자구분
연번1.0000.524
중개업자구분0.5241.000

Missing values

2024-04-21T23:01:07.558146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T23:01:07.800514image/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

연번사무소명행정처분상태중개업자명직위중개업자구분사무소전화번호사무소주소데이터기준일
01꽃마을부동산중개인사무소영업중김영근대표중개인052-201-3300울산광역시 동구 문현로 58(방어동)2024-01-31
12영원부동산중개인사무소영업중권재원대표중개인052-234-7746울산광역시 동구 학문로 13(일산동)2024-01-31
23매일부동산중개사무소영업중장병희대표중개인052-233-0222울산광역시 동구 대학길 142(화정동)2024-01-31
34인보부동산중개사무소영업중김한수대표중개인052-234-4466울산광역시 동구 진성9길 62(전하동)2024-01-31
45백운부동산중개사무소영업중김진영대표중개인052-201-4985울산광역시 동구 방어진순환도로 497, 201호(방어동)2024-01-31
56동인부동산중개인사무소영업중송유조대표중개인052-201-3366울산광역시 동구 꽃바위3길 15(방어동)2024-01-31
67비치부동산중개사무소영업중정상진대표공인중개사052-201-5949울산광역시 동구 문재6길 1(방어동)2024-01-31
78그린공인중개사사무소영업중조정민대표공인중개사052-234-6100울산광역시 동구 전하로 46-1(전하동)2024-01-31
89탑공인중개사사무소영업중김미경대표공인중개사052-236-5500울산광역시 동구 동해안로 53-1(동부동)2024-01-31
910행복공인중개사사무소영업중한경자대표공인중개사052-233-5633울산광역시 동구 봉수로 450, 110호(서부동, 성원상떼빌상가)2024-01-31
연번사무소명행정처분상태중개업자명직위중개업자구분사무소전화번호사무소주소데이터기준일
154155자이정원부동산중개사무소영업중서명주대표공인중개사<NA>울산광역시 동구 서부로 51, 1동 B308호(서부동, 신영울산지웰시티자이2단지상가)2024-01-31
155156이편한탑공인중개사사무소영업중배정열대표공인중개사052-700-2073울산광역시 동구 봉수로 290, 상가동 B304호(전하동, e편한세상 전하)2024-01-31
156157프런티어공인중개사사무소영업중권민하대표공인중개사<NA>울산광역시 동구 등대로 50, 112호(방어동, 대왕암CGV블루스퀘어)2024-01-31
157158덕성공인중개사사무소영업중김대곤대표공인중개사052-282-9458울산광역시 동구 동해안로 32(동부동)2024-01-31
158159우남공인중개사사무소영업중우소남대표공인중개사<NA>울산광역시 동구 대송6길 12, 2층(화정동)2024-01-31
159160더오름공인중개사사무소영업중박수빈대표공인중개사052-222-2988울산광역시 동구 미포1길 16(동부동)2024-01-31
160161대세공인중개사사무소영업중여현수대표공인중개사<NA>울산광역시 동구 녹수길 73(전하동)2024-01-31
161162오션공인중개사사무소영업중엄지우대표공인중개사<NA>울산광역시 동구 문재2길 30(방어동)2024-01-31
162163원탑공인중개사사무소영업중박부희대표공인중개사<NA>울산광역시 동구 바드래1길 55, 101호(전하동, A3타워)2024-01-31
16316488공인중개사사무소영업중김옥빈대표공인중개사<NA>울산광역시 동구 내진4길 11, 102호(방어동, 센트럴오션파크)2024-01-31