Overview

Dataset statistics

Number of variables8
Number of observations394
Missing cells50
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory64.3 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description경기도 오산시 부동산 중개업소 현황의 행정처분상태, 사무소명, 중개업자명, 직위, 전화번호, 도로명주소 소재지 정보를 제공하고 있습니다.(참고)사무소전화번호의 경우 유선 전화번호만을 표시하고 있음(휴대폰 전화번호로만 등록된 업소의 경우 빈칸으로 표시됨)
Author경기도 오산시
URLhttps://www.data.go.kr/data/3063140/fileData.do

Alerts

시군구명 has constant value ""Constant
직위 has constant value ""Constant
자료작성 기준일 has constant value ""Constant
행정처분상태 is highly imbalanced (97.4%)Imbalance
사무소전화번호 has 50 (12.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:07:55.898052
Analysis finished2023-12-12 10:07:56.612208
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
경기도 오산시
394 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 오산시
2nd row경기도 오산시
3rd row경기도 오산시
4th row경기도 오산시
5th row경기도 오산시

Common Values

ValueCountFrequency (%)
경기도 오산시 394
100.0%

Length

2023-12-12T19:07:56.711706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:07:56.836313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 394
50.0%
오산시 394
50.0%

행정처분상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업중
393 
휴업중
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 393
99.7%
휴업중 1
 
0.3%

Length

2023-12-12T19:07:56.957922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:07:57.105251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 393
99.7%
휴업중 1
 
0.3%
Distinct364
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T19:07:57.338639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length11.992386
Min length7

Characters and Unicode

Total characters4725
Distinct characters309
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

Unique340 ?
Unique (%)86.3%

Sample

1st row삼흥공인중개사사무소
2nd row인터넷공인중개사사무소
3rd row청일부동산중개인사무소
4th row전원 부동산 중개인 사무소
5th row무궁화부동산중개인사무소
ValueCountFrequency (%)
사무소 9
 
2.1%
현대공인중개사사무소 5
 
1.2%
주식회사 4
 
0.9%
한국공인중개사사무소 4
 
0.9%
중개사 3
 
0.7%
공인중개사 3
 
0.7%
공인중개사사무소 3
 
0.7%
공인 3
 
0.7%
리치공인중개사사무소 3
 
0.7%
세교자이부동산중개법인 2
 
0.5%
Other values (370) 391
90.9%
2023-12-12T19:07:57.826248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
16.1%
396
 
8.4%
394
 
8.3%
386
 
8.2%
385
 
8.1%
384
 
8.1%
378
 
8.0%
88
 
1.9%
73
 
1.5%
66
 
1.4%
Other values (299) 1413
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4521
95.7%
Decimal Number 100
 
2.1%
Space Separator 36
 
0.8%
Uppercase Letter 30
 
0.6%
Dash Punctuation 12
 
0.3%
Lowercase Letter 11
 
0.2%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
762
16.9%
396
 
8.8%
394
 
8.7%
386
 
8.5%
385
 
8.5%
384
 
8.5%
378
 
8.4%
88
 
1.9%
73
 
1.6%
66
 
1.5%
Other values (261) 1209
26.7%
Uppercase Letter
ValueCountFrequency (%)
K 5
16.7%
R 3
10.0%
I 3
10.0%
O 2
 
6.7%
C 2
 
6.7%
P 2
 
6.7%
A 2
 
6.7%
H 2
 
6.7%
E 2
 
6.7%
G 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
1 32
32.0%
3 16
16.0%
7 10
 
10.0%
4 10
 
10.0%
0 9
 
9.0%
2 6
 
6.0%
8 6
 
6.0%
6 5
 
5.0%
9 4
 
4.0%
5 2
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
a 2
18.2%
o 2
18.2%
l 1
 
9.1%
s 1
 
9.1%
n 1
 
9.1%
b 1
 
9.1%
Space Separator
ValueCountFrequency (%)
36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4521
95.7%
Common 163
 
3.4%
Latin 41
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
762
16.9%
396
 
8.8%
394
 
8.7%
386
 
8.5%
385
 
8.5%
384
 
8.5%
378
 
8.4%
88
 
1.9%
73
 
1.6%
66
 
1.5%
Other values (261) 1209
26.7%
Latin
ValueCountFrequency (%)
K 5
 
12.2%
R 3
 
7.3%
I 3
 
7.3%
e 3
 
7.3%
O 2
 
4.9%
C 2
 
4.9%
a 2
 
4.9%
o 2
 
4.9%
P 2
 
4.9%
A 2
 
4.9%
Other values (13) 15
36.6%
Common
ValueCountFrequency (%)
36
22.1%
1 32
19.6%
3 16
9.8%
- 12
 
7.4%
7 10
 
6.1%
4 10
 
6.1%
0 9
 
5.5%
( 7
 
4.3%
) 7
 
4.3%
2 6
 
3.7%
Other values (5) 18
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4521
95.7%
ASCII 204
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
762
16.9%
396
 
8.8%
394
 
8.7%
386
 
8.5%
385
 
8.5%
384
 
8.5%
378
 
8.4%
88
 
1.9%
73
 
1.6%
66
 
1.5%
Other values (261) 1209
26.7%
ASCII
ValueCountFrequency (%)
36
17.6%
1 32
15.7%
3 16
 
7.8%
- 12
 
5.9%
7 10
 
4.9%
4 10
 
4.9%
0 9
 
4.4%
( 7
 
3.4%
) 7
 
3.4%
2 6
 
2.9%
Other values (28) 59
28.9%
Distinct391
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T19:07:58.227488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9898477
Min length2

Characters and Unicode

Total characters1178
Distinct characters157
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

Unique388 ?
Unique (%)98.5%

Sample

1st row방명석
2nd row구도희
3rd row서강국
4th row김종대
5th row박종현
ValueCountFrequency (%)
김도연 2
 
0.5%
김진아 2
 
0.5%
김미진 2
 
0.5%
김현 1
 
0.3%
임혜영 1
 
0.3%
배현진 1
 
0.3%
조광신 1
 
0.3%
이권섭 1
 
0.3%
이배철 1
 
0.3%
김진수 1
 
0.3%
Other values (381) 381
96.7%
2023-12-12T19:07:58.858932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
7.2%
64
 
5.4%
39
 
3.3%
36
 
3.1%
30
 
2.5%
29
 
2.5%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
Other values (147) 795
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1178
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
85
 
7.2%
64
 
5.4%
39
 
3.3%
36
 
3.1%
30
 
2.5%
29
 
2.5%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
Other values (147) 795
67.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1178
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
85
 
7.2%
64
 
5.4%
39
 
3.3%
36
 
3.1%
30
 
2.5%
29
 
2.5%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
Other values (147) 795
67.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1178
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
85
 
7.2%
64
 
5.4%
39
 
3.3%
36
 
3.1%
30
 
2.5%
29
 
2.5%
26
 
2.2%
25
 
2.1%
25
 
2.1%
24
 
2.0%
Other values (147) 795
67.5%

직위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
대표
394 

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 394
100.0%

Length

2023-12-12T19:07:59.043932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:07:59.173913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표 394
100.0%

사무소전화번호
Text

MISSING 

Distinct335
Distinct (%)97.4%
Missing50
Missing (%)12.7%
Memory size3.2 KiB
2023-12-12T19:07:59.486435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length12
Mean length12.706395
Min length12

Characters and Unicode

Total characters4371
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

Unique326 ?
Unique (%)94.8%

Sample

1st row031-375-3077
2nd row031-373-9900
3rd row031-375-8988
4th row031-372-2100
5th row031-378-2777
ValueCountFrequency (%)
031-376-8959 2
 
0.6%
031-378-9888 2
 
0.6%
031-548-2900 2
 
0.6%
031-372-4433 2
 
0.6%
031-373-6226 2
 
0.6%
031-377-6110 2
 
0.6%
031-376-0644 2
 
0.6%
031-373-9882 2
 
0.6%
031-374-0043 2
 
0.6%
031-372-0222 1
 
0.3%
Other values (330) 330
94.6%
2023-12-12T19:08:00.041569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 880
20.1%
- 724
16.6%
0 622
14.2%
7 520
11.9%
1 494
11.3%
8 251
 
5.7%
4 203
 
4.6%
6 196
 
4.5%
5 169
 
3.9%
2 149
 
3.4%
Other values (3) 163
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3623
82.9%
Dash Punctuation 724
 
16.6%
Other Punctuation 19
 
0.4%
Space Separator 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 880
24.3%
0 622
17.2%
7 520
14.4%
1 494
13.6%
8 251
 
6.9%
4 203
 
5.6%
6 196
 
5.4%
5 169
 
4.7%
2 149
 
4.1%
9 139
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 880
20.1%
- 724
16.6%
0 622
14.2%
7 520
11.9%
1 494
11.3%
8 251
 
5.7%
4 203
 
4.6%
6 196
 
4.5%
5 169
 
3.9%
2 149
 
3.4%
Other values (3) 163
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 880
20.1%
- 724
16.6%
0 622
14.2%
7 520
11.9%
1 494
11.3%
8 251
 
5.7%
4 203
 
4.6%
6 196
 
4.5%
5 169
 
3.9%
2 149
 
3.4%
Other values (3) 163
 
3.7%
Distinct386
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T19:08:00.443806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length28.951777
Min length15

Characters and Unicode

Total characters11407
Distinct characters214
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique378 ?
Unique (%)95.9%

Sample

1st row경기도 오산시 대원로 17 1층 4호 (원동 761-20)
2nd row경기도 오산시 남부대로 330 , 상가동 105호(원동,청구아파트상가)
3rd row경기도 오산시 한신대길 118 1층 (양산동 379-5외 필지)
4th row경기도 오산시 역광장로 70-3 (오산동)
5th row경기도 오산시 대원로 65 (원동)
ValueCountFrequency (%)
경기도 394
 
16.5%
오산시 394
 
16.5%
59
 
2.5%
상가동 58
 
2.4%
1층 43
 
1.8%
101호 23
 
1.0%
궐동 22
 
0.9%
상가 21
 
0.9%
운암로 21
 
0.9%
오산로 19
 
0.8%
Other values (634) 1331
55.8%
2023-12-12T19:08:01.023012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2007
 
17.6%
1 678
 
5.9%
540
 
4.7%
491
 
4.3%
423
 
3.7%
421
 
3.7%
417
 
3.7%
414
 
3.6%
394
 
3.5%
388
 
3.4%
Other values (204) 5234
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6240
54.7%
Decimal Number 2284
 
20.0%
Space Separator 2007
 
17.6%
Open Punctuation 303
 
2.7%
Close Punctuation 303
 
2.7%
Dash Punctuation 115
 
1.0%
Other Punctuation 110
 
1.0%
Uppercase Letter 41
 
0.4%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
540
 
8.7%
491
 
7.9%
423
 
6.8%
421
 
6.7%
417
 
6.7%
414
 
6.6%
394
 
6.3%
388
 
6.2%
295
 
4.7%
139
 
2.2%
Other values (179) 2318
37.1%
Decimal Number
ValueCountFrequency (%)
1 678
29.7%
0 350
15.3%
2 254
 
11.1%
3 222
 
9.7%
5 154
 
6.7%
6 153
 
6.7%
4 149
 
6.5%
7 119
 
5.2%
8 110
 
4.8%
9 95
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
C 14
34.1%
B 9
22.0%
R 8
19.5%
M 5
 
12.2%
K 2
 
4.9%
A 1
 
2.4%
L 1
 
2.4%
S 1
 
2.4%
Space Separator
ValueCountFrequency (%)
2007
100.0%
Open Punctuation
ValueCountFrequency (%)
( 303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Other Punctuation
ValueCountFrequency (%)
, 110
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6240
54.7%
Common 5123
44.9%
Latin 44
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
540
 
8.7%
491
 
7.9%
423
 
6.8%
421
 
6.7%
417
 
6.7%
414
 
6.6%
394
 
6.3%
388
 
6.2%
295
 
4.7%
139
 
2.2%
Other values (179) 2318
37.1%
Common
ValueCountFrequency (%)
2007
39.2%
1 678
 
13.2%
0 350
 
6.8%
( 303
 
5.9%
) 303
 
5.9%
2 254
 
5.0%
3 222
 
4.3%
5 154
 
3.0%
6 153
 
3.0%
4 149
 
2.9%
Other values (6) 550
 
10.7%
Latin
ValueCountFrequency (%)
C 14
31.8%
B 9
20.5%
R 8
18.2%
M 5
 
11.4%
e 3
 
6.8%
K 2
 
4.5%
A 1
 
2.3%
L 1
 
2.3%
S 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6240
54.7%
ASCII 5167
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2007
38.8%
1 678
 
13.1%
0 350
 
6.8%
( 303
 
5.9%
) 303
 
5.9%
2 254
 
4.9%
3 222
 
4.3%
5 154
 
3.0%
6 153
 
3.0%
4 149
 
2.9%
Other values (15) 594
 
11.5%
Hangul
ValueCountFrequency (%)
540
 
8.7%
491
 
7.9%
423
 
6.8%
421
 
6.7%
417
 
6.7%
414
 
6.6%
394
 
6.3%
388
 
6.2%
295
 
4.7%
139
 
2.2%
Other values (179) 2318
37.1%

자료작성 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2023-10-12 00:00:00
Maximum2023-10-12 00:00:00
2023-12-12T19:08:01.441715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:08:01.553829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T19:07:56.393376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:07:56.549920image/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

시군구명행정처분상태사무소명중개업자명직위사무소전화번호사무소주소(도로명)자료작성 기준일
0경기도 오산시영업중삼흥공인중개사사무소방명석대표031-375-3077경기도 오산시 대원로 17 1층 4호 (원동 761-20)2023-10-12
1경기도 오산시영업중인터넷공인중개사사무소구도희대표031-373-9900경기도 오산시 남부대로 330 , 상가동 105호(원동,청구아파트상가)2023-10-12
2경기도 오산시영업중청일부동산중개인사무소서강국대표031-375-8988경기도 오산시 한신대길 118 1층 (양산동 379-5외 필지)2023-10-12
3경기도 오산시영업중전원 부동산 중개인 사무소김종대대표031-372-2100경기도 오산시 역광장로 70-3 (오산동)2023-10-12
4경기도 오산시영업중무궁화부동산중개인사무소박종현대표031-378-2777경기도 오산시 대원로 65 (원동)2023-10-12
5경기도 오산시영업중조용수공인중개사사무소조용수대표<NA>경기도 오산시 운암로 62 대동상가 101호(오산동)2023-10-12
6경기도 오산시영업중부동산은행공인중개사사무소노병준대표031-373-7077경기도 오산시 궐리사로29번길 15 상가비-102호(궐동,우남퍼스트빌상가)2023-10-12
7경기도 오산시영업중에쿠스 공인중개사 사무소심명진대표031-378-9988경기도 오산시 오산로 28 (갈곶동)2023-10-12
8경기도 오산시영업중주공휴먼시아공인중개사사무소김연홍대표031-378-3434경기도 오산시 수청로 30-13 (내삼미동)2023-10-12
9경기도 오산시영업중신원중개인사무소이용례대표031-372-8886경기도 오산시 양산로 108 (양산동)2023-10-12
시군구명행정처분상태사무소명중개업자명직위사무소전화번호사무소주소(도로명)자료작성 기준일
384경기도 오산시영업중나침반공인중개사사무소최동욱대표031-378-9888경기도 오산시 세마역로41번길 10 , 1층 104호2023-10-12
385경기도 오산시영업중대우탑공인중개사사무소송해림대표031-375-4980경기도 오산시 매홀로 71 , 대우아파트 제2상가동 지하층 6호2023-10-12
386경기도 오산시영업중황금부동산공인중개사사무소이임연대표<NA>경기도 오산시 수목원로88번길 35 , 오산테라타워CMC 상가동 R206호2023-10-12
387경기도 오산시영업중롯데미성공인중개사사무소기혜성대표<NA>경기도 오산시 현충로 107-30 , 단지내상가 103호2023-10-12
388경기도 오산시영업중행복공인중개사사무소박양진대표031-376-3114, 031-376-3116경기도 오산시 수청로 30-12 , 상가 101호2023-10-12
389경기도 오산시영업중공룡공인중개사사무소홍선용대표031-691-1180경기도 오산시 경기대로148번길 16 , 2층2023-10-12
390경기도 오산시영업중세교부동산공인중개사사무소임준영대표031-374-2277경기도 오산시 죽담3로 12 , 103호(궐동)2023-10-12
391경기도 오산시영업중오산대역세교마루공인중개사사무소이금숙대표031-377-3999경기도 오산시 내삼미로 85 , 우정프라자 105호(수청동)2023-10-12
392경기도 오산시영업중청명공인중개사사무소유한대표031-373-0150경기도 오산시 오산천로 258 , 1층 102호2023-10-12
393경기도 오산시영업중세마역트루엘코너탑공인중개사사무소엄우용대표031-374-7400경기도 오산시 수목원로 615 , 상가동 101호2023-10-12