Overview

Dataset statistics

Number of variables6
Number of observations49
Missing cells41
Missing cells (%)13.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory51.7 B

Variable types

Numeric1
Text5

Dataset

Description경상남도 남해군의 등록된 부동산중개업소의 정보입니다. 부동산중개업소의 사무소명칭, 대표자, 소재지, 전화번호, 홈페이지정보, 면허정보 등을 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3077054

Alerts

홈페이지 has 41 (83.7%) missing valuesMissing
연번 has unique valuesUnique
사무소 명칭 has unique valuesUnique
대 표 자 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:33:43.382198
Analysis finished2023-12-10 23:33:44.027205
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T08:33:44.101799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-11T08:33:44.247926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

사무소 명칭
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:44.485483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.183673
Min length7

Characters and Unicode

Total characters548
Distinct characters92
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

Unique49 ?
Unique (%)100.0%

Sample

1st row남해공인중개사사무소
2nd row상주부동산중개인사무소
3rd row태양부동산공인중개사사무소
4th row강남부동산컨설팅개발공인중개사사무소
5th row조은공인중개사
ValueCountFrequency (%)
남해공인중개사사무소 1
 
2.0%
한방부동산공인중개사사무소 1
 
2.0%
금탑공인중개사사무소 1
 
2.0%
남해스타에셋공인중개사사무소 1
 
2.0%
삼여도공인중개사사무소 1
 
2.0%
다인공인중개사사무소 1
 
2.0%
주은공인중개사사무소 1
 
2.0%
대신공인중개사사무소 1
 
2.0%
남해달인공인중개사사무소 1
 
2.0%
부성공인중개사사무소 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T08:33:44.875391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 93
17.0%
인 50
 
9.1%
개 50
 
9.1%
중 49
 
8.9%
공 47
 
8.6%
무 44
 
8.0%
소 44
 
8.0%
남 16
 
2.9%
해 12
 
2.2%
부 10
 
1.8%
Other values (82) 133
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 93
17.0%
인 50
 
9.1%
개 50
 
9.1%
중 49
 
8.9%
공 47
 
8.6%
무 44
 
8.0%
소 44
 
8.0%
남 16
 
2.9%
해 12
 
2.2%
부 10
 
1.8%
Other values (82) 133
24.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 548
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 93
17.0%
인 50
 
9.1%
개 50
 
9.1%
중 49
 
8.9%
공 47
 
8.6%
무 44
 
8.0%
소 44
 
8.0%
남 16
 
2.9%
해 12
 
2.2%
부 10
 
1.8%
Other values (82) 133
24.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 548
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 93
17.0%
인 50
 
9.1%
개 50
 
9.1%
중 49
 
8.9%
공 47
 
8.6%
무 44
 
8.0%
소 44
 
8.0%
남 16
 
2.9%
해 12
 
2.2%
부 10
 
1.8%
Other values (82) 133
24.3%

대 표 자
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:45.122010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9795918
Min length2

Characters and Unicode

Total characters146
Distinct characters74
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

Unique49 ?
Unique (%)100.0%

Sample

1st row정영배
2nd row류권수
3rd row정해호
4th row강대용
5th row이근남
ValueCountFrequency (%)
정영배 1
 
2.0%
박병호 1
 
2.0%
정홍권 1
 
2.0%
한추영 1
 
2.0%
김영철 1
 
2.0%
강화숙 1
 
2.0%
박석 1
 
2.0%
이성규 1
 
2.0%
조삼래 1
 
2.0%
윤기영 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T08:33:45.490730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
6.8%
김 9
 
6.2%
정 8
 
5.5%
박 8
 
5.5%
영 8
 
5.5%
호 5
 
3.4%
기 5
 
3.4%
조 5
 
3.4%
주 4
 
2.7%
권 3
 
2.1%
Other values (64) 81
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
6.8%
김 9
 
6.2%
정 8
 
5.5%
박 8
 
5.5%
영 8
 
5.5%
호 5
 
3.4%
기 5
 
3.4%
조 5
 
3.4%
주 4
 
2.7%
권 3
 
2.1%
Other values (64) 81
55.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
6.8%
김 9
 
6.2%
정 8
 
5.5%
박 8
 
5.5%
영 8
 
5.5%
호 5
 
3.4%
기 5
 
3.4%
조 5
 
3.4%
주 4
 
2.7%
권 3
 
2.1%
Other values (64) 81
55.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 10
 
6.8%
김 9
 
6.2%
정 8
 
5.5%
박 8
 
5.5%
영 8
 
5.5%
호 5
 
3.4%
기 5
 
3.4%
조 5
 
3.4%
주 4
 
2.7%
권 3
 
2.1%
Other values (64) 81
55.5%

소재지
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:45.759456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length23.102041
Min length18

Characters and Unicode

Total characters1132
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row경상남도 남해군 경상남도 남해군 남해읍 화전로122번가길 40-9
2nd row경상남도 남해군 상주면 남해대로701번길 5-1
3rd row경상남도 남해군 창선면 동부대로 2765-9
4th row경상남도 남해군 삼동면 동부대로1122번길 132-9
5th row경상남도 남해군 삼동면 삼이로 1
ValueCountFrequency (%)
경상남도 51
20.2%
남해군 51
20.2%
남해읍 20
 
7.9%
동부대로 11
 
4.3%
남해대로 10
 
4.0%
삼동면 9
 
3.6%
화전로 8
 
3.2%
창선면 7
 
2.8%
이동면 5
 
2.0%
남서대로 3
 
1.2%
Other values (70) 78
30.8%
2023-12-11T08:33:46.139618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
18.1%
남 142
 
12.5%
해 84
 
7.4%
상 54
 
4.8%
경 51
 
4.5%
도 51
 
4.5%
군 51
 
4.5%
로 49
 
4.3%
1 39
 
3.4%
2 35
 
3.1%
Other values (44) 371
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 708
62.5%
Space Separator 205
 
18.1%
Decimal Number 200
 
17.7%
Dash Punctuation 15
 
1.3%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 142
20.1%
해 84
11.9%
상 54
 
7.6%
경 51
 
7.2%
도 51
 
7.2%
군 51
 
7.2%
로 49
 
6.9%
면 30
 
4.2%
대 29
 
4.1%
동 28
 
4.0%
Other values (29) 139
19.6%
Decimal Number
ValueCountFrequency (%)
1 39
19.5%
2 35
17.5%
9 21
10.5%
3 20
10.0%
5 17
8.5%
6 16
8.0%
8 15
 
7.5%
4 15
 
7.5%
0 12
 
6.0%
7 10
 
5.0%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 708
62.5%
Common 424
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 142
20.1%
해 84
11.9%
상 54
 
7.6%
경 51
 
7.2%
도 51
 
7.2%
군 51
 
7.2%
로 49
 
6.9%
면 30
 
4.2%
대 29
 
4.1%
동 28
 
4.0%
Other values (29) 139
19.6%
Common
ValueCountFrequency (%)
205
48.3%
1 39
 
9.2%
2 35
 
8.3%
9 21
 
5.0%
3 20
 
4.7%
5 17
 
4.0%
6 16
 
3.8%
8 15
 
3.5%
4 15
 
3.5%
- 15
 
3.5%
Other values (5) 26
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 708
62.5%
ASCII 424
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
48.3%
1 39
 
9.2%
2 35
 
8.3%
9 21
 
5.0%
3 20
 
4.7%
5 17
 
4.0%
6 16
 
3.8%
8 15
 
3.5%
4 15
 
3.5%
- 15
 
3.5%
Other values (5) 26
 
6.1%
Hangul
ValueCountFrequency (%)
남 142
20.1%
해 84
11.9%
상 54
 
7.6%
경 51
 
7.2%
도 51
 
7.2%
군 51
 
7.2%
로 49
 
6.9%
면 30
 
4.2%
대 29
 
4.1%
동 28
 
4.0%
Other values (29) 139
19.6%

전화번호
Text

Distinct30
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:46.334492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters588
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

Unique29 ?
Unique (%)59.2%

Sample

1st row055-864-5599
2nd row055-862-6107
3rd row055-860-3024
4th row055-867-4647
5th row055-867-2318
ValueCountFrequency (%)
055-860-3024 20
40.8%
055-864-5599 1
 
2.0%
055-863-9900 1
 
2.0%
055-863-4569 1
 
2.0%
055-867-7272 1
 
2.0%
055-862-5444 1
 
2.0%
055-867-7007 1
 
2.0%
055-867-1888 1
 
2.0%
055-867-7750 1
 
2.0%
055-867-8949 1
 
2.0%
Other values (20) 20
40.8%
2023-12-11T08:33:46.696433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 111
18.9%
0 102
17.3%
- 98
16.7%
8 65
11.1%
6 61
10.4%
4 39
 
6.6%
2 37
 
6.3%
3 36
 
6.1%
7 23
 
3.9%
9 10
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 111
22.7%
0 102
20.8%
8 65
13.3%
6 61
12.4%
4 39
 
8.0%
2 37
 
7.6%
3 36
 
7.3%
7 23
 
4.7%
9 10
 
2.0%
1 6
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 111
18.9%
0 102
17.3%
- 98
16.7%
8 65
11.1%
6 61
10.4%
4 39
 
6.6%
2 37
 
6.3%
3 36
 
6.1%
7 23
 
3.9%
9 10
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 111
18.9%
0 102
17.3%
- 98
16.7%
8 65
11.1%
6 61
10.4%
4 39
 
6.6%
2 37
 
6.3%
3 36
 
6.1%
7 23
 
3.9%
9 10
 
1.7%

홈페이지
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing41
Missing (%)83.7%
Memory size524.0 B
2023-12-11T08:33:46.932167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27.5
Mean length28.125
Min length17

Characters and Unicode

Total characters225
Distinct characters41
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowhttp://동남해부동산.kr/
2nd rowhttp://cafe.daum.net/푸른공인
3rd rowhttps://namhaeansidae.com/
4th rowhttp://cafe.daum.net/Nhsinbaram
5th rowhttp://ndaejin.serve.co.kr/
ValueCountFrequency (%)
http://동남해부동산.kr 1
12.5%
http://cafe.daum.net/푸른공인 1
12.5%
https://namhaeansidae.com 1
12.5%
http://cafe.daum.net/nhsinbaram 1
12.5%
http://ndaejin.serve.co.kr 1
12.5%
https://blog.naver.com/dkfksi/220475544805 1
12.5%
https://blog.naver.com/wojkm 1
12.5%
http://blog.daum.net/daingong 1
12.5%
2023-12-11T08:33:47.261740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 25
 
11.1%
t 19
 
8.4%
. 15
 
6.7%
a 15
 
6.7%
n 12
 
5.3%
e 12
 
5.3%
h 10
 
4.4%
m 9
 
4.0%
o 9
 
4.0%
p 8
 
3.6%
Other values (31) 91
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 154
68.4%
Other Punctuation 48
 
21.3%
Decimal Number 12
 
5.3%
Other Letter 10
 
4.4%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 19
12.3%
a 15
 
9.7%
n 12
 
7.8%
e 12
 
7.8%
h 10
 
6.5%
m 9
 
5.8%
o 9
 
5.8%
p 8
 
5.2%
d 7
 
4.5%
s 7
 
4.5%
Other values (12) 46
29.9%
Other Letter
ValueCountFrequency (%)
동 2
20.0%
해 1
10.0%
인 1
10.0%
부 1
10.0%
공 1
10.0%
른 1
10.0%
푸 1
10.0%
남 1
10.0%
산 1
10.0%
Decimal Number
ValueCountFrequency (%)
4 3
25.0%
5 3
25.0%
0 2
16.7%
2 2
16.7%
7 1
 
8.3%
8 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 25
52.1%
. 15
31.2%
: 8
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 155
68.9%
Common 60
 
26.7%
Hangul 10
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 19
12.3%
a 15
 
9.7%
n 12
 
7.7%
e 12
 
7.7%
h 10
 
6.5%
m 9
 
5.8%
o 9
 
5.8%
p 8
 
5.2%
d 7
 
4.5%
s 7
 
4.5%
Other values (13) 47
30.3%
Common
ValueCountFrequency (%)
/ 25
41.7%
. 15
25.0%
: 8
 
13.3%
4 3
 
5.0%
5 3
 
5.0%
0 2
 
3.3%
2 2
 
3.3%
7 1
 
1.7%
8 1
 
1.7%
Hangul
ValueCountFrequency (%)
동 2
20.0%
해 1
10.0%
인 1
10.0%
부 1
10.0%
공 1
10.0%
른 1
10.0%
푸 1
10.0%
남 1
10.0%
산 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
95.6%
Hangul 10
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 25
 
11.6%
t 19
 
8.8%
. 15
 
7.0%
a 15
 
7.0%
n 12
 
5.6%
e 12
 
5.6%
h 10
 
4.7%
m 9
 
4.2%
o 9
 
4.2%
p 8
 
3.7%
Other values (22) 81
37.7%
Hangul
ValueCountFrequency (%)
동 2
20.0%
해 1
10.0%
인 1
10.0%
부 1
10.0%
공 1
10.0%
른 1
10.0%
푸 1
10.0%
남 1
10.0%
산 1
10.0%

Interactions

2023-12-11T08:33:43.754386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:33:47.348869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사무소 명칭대 표 자소재지전화번호홈페이지
연번1.0001.0001.0001.0000.4751.000
사무소 명칭1.0001.0001.0001.0001.0001.000
대 표 자1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
전화번호0.4751.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T08:33:43.882490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:33:43.987007image/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

연번사무소 명칭대 표 자소재지전화번호홈페이지
01남해공인중개사사무소정영배경상남도 남해군 경상남도 남해군 남해읍 화전로122번가길 40-9055-864-5599<NA>
12상주부동산중개인사무소류권수경상남도 남해군 상주면 남해대로701번길 5-1055-862-6107<NA>
23태양부동산공인중개사사무소정해호경상남도 남해군 창선면 동부대로 2765-9055-860-3024<NA>
34강남부동산컨설팅개발공인중개사사무소강대용경상남도 남해군 삼동면 동부대로1122번길 132-9055-867-4647<NA>
45조은공인중개사이근남경상남도 남해군 삼동면 삼이로 1055-867-2318<NA>
56세명공인중개사사무소김길봉경상남도 남해군 삼동면 삼이로 9055-860-3024<NA>
67동남해공인중개사최부원경상남도 남해군 삼동면 동부대로 1286055-867-8807http://동남해부동산.kr/
78대길공인중개사이영주경상남도 남해군 이동면 남해대로2375번길 2055-863-0205<NA>
89경남공인중개사사무소김기중경상남도 남해군 창선면 동부대로 2431055-867-6731<NA>
910푸른공인중개사사무소이춘선경상남도 남해군 남해읍 화전로 124055-863-2348http://cafe.daum.net/푸른공인
연번사무소 명칭대 표 자소재지전화번호홈페이지
3940화전컨설팅공인중개사사무소김은주경상남도 남해군 남해읍 남해대로2970번길 24-18055-862-5444<NA>
4041강남부동산공인중개사사무소박도명경상남도 남해군 삼동면 동부대로 1862055-860-3024<NA>
4142힐링아일랜드부동산공인중개사사무소박숙진경상남도 남해군 창선면 동부대로 2481055-867-7272<NA>
4243세종부동산공인중개사사무소조기언경상남도 남해군 남해읍 망운로9번길 14-10055-860-3024<NA>
4344바다공인중개사사무소박영호경상남도 남해군 서면 남서대로 1682055-860-3024<NA>
4445하나공인중개사사무소박하나경상남도 남해군 남해읍 화전로 128055-863-4569<NA>
4546대한공인중개사사무소윤영구경상남도 남해군 남해읍 화전로 65-10, 2층055-860-3024<NA>
4647그린공인중개사사무소정승웅경상남도 남해군 남해읍 남해대로 2979-1055-862-2239<NA>
4748신태양공인중개사사무소박의철경상남도 남해군 남해읍 화전로 149, 2층055-860-3024<NA>
4849남해리치공인중개사사무소박기범경상남도 남해군 창선면 창선로 233055-860-3024<NA>