Overview

Dataset statistics

Number of variables7
Number of observations49
Missing cells89
Missing cells (%)25.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory60.7 B

Variable types

Numeric1
Text5
Unsupported1

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 40 (81.6%) missing valuesMissing
비고 has 49 (100.0%) missing valuesMissing
연번 has unique valuesUnique
사무소 명칭 has unique valuesUnique
대 표 자 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:33:32.398290
Analysis finished2023-12-10 23:33:33.013092
Duration0.61 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
2023-12-11T08:33:33.089920image/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
2023-12-11T08:33:33.245113image/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
2023-12-11T08:33:33.457562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.265306
Min length7

Characters and Unicode

Total characters552
Distinct characters91
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%
남해청탑공인중개사사무소 1
 
2.0%
남해스타에셋공인중개사사무소 1
 
2.0%
삼여도공인중개사사무소 1
 
2.0%
다인공인중개사사무소 1
 
2.0%
주은공인중개사사무소 1
 
2.0%
남해달인공인중개사사무소 1
 
2.0%
남해시대공인중개사사무소 1
 
2.0%
강남공인중개사사무소 1
 
2.0%
우리공인중개사사무소 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T08:33:33.821712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
16.8%
50
 
9.1%
50
 
9.1%
49
 
8.9%
47
 
8.5%
44
 
8.0%
44
 
8.0%
16
 
2.9%
12
 
2.2%
12
 
2.2%
Other values (81) 135
24.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
16.8%
50
 
9.1%
50
 
9.1%
49
 
8.9%
47
 
8.5%
44
 
8.0%
44
 
8.0%
16
 
2.9%
12
 
2.2%
12
 
2.2%
Other values (81) 135
24.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
16.8%
50
 
9.1%
50
 
9.1%
49
 
8.9%
47
 
8.5%
44
 
8.0%
44
 
8.0%
16
 
2.9%
12
 
2.2%
12
 
2.2%
Other values (81) 135
24.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
93
16.8%
50
 
9.1%
50
 
9.1%
49
 
8.9%
47
 
8.5%
44
 
8.0%
44
 
8.0%
16
 
2.9%
12
 
2.2%
12
 
2.2%
Other values (81) 135
24.5%

대 표 자
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:34.044487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9795918
Min length2

Characters and Unicode

Total characters146
Distinct characters72
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%
정경문 1
 
2.0%
한추영 1
 
2.0%
김영철 1
 
2.0%
강화숙 1
 
2.0%
박석 1
 
2.0%
조삼래 1
 
2.0%
권희순 1
 
2.0%
조갑두 1
 
2.0%
김충탁 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T08:33:34.376242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
6.8%
9
 
6.2%
9
 
6.2%
8
 
5.5%
6
 
4.1%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.1%
Other values (62) 82
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
6.8%
9
 
6.2%
9
 
6.2%
8
 
5.5%
6
 
4.1%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.1%
Other values (62) 82
56.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
6.8%
9
 
6.2%
9
 
6.2%
8
 
5.5%
6
 
4.1%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.1%
Other values (62) 82
56.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
6.8%
9
 
6.2%
9
 
6.2%
8
 
5.5%
6
 
4.1%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.1%
Other values (62) 82
56.2%
Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:34.604597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length23.061224
Min length18

Characters and Unicode

Total characters1130
Distinct characters57
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

Unique45 ?
Unique (%)91.8%

Sample

1st row경상남도 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 50
19.8%
남해군 50
19.8%
남해읍 15
 
5.9%
동부대로 15
 
5.9%
삼동면 11
 
4.3%
남해대로 10
 
4.0%
창선면 8
 
3.2%
화전로 7
 
2.8%
이동면 6
 
2.4%
남서대로 3
 
1.2%
Other values (68) 78
30.8%
2023-12-11T08:33:34.973541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
18.1%
135
 
11.9%
78
 
6.9%
53
 
4.7%
50
 
4.4%
50
 
4.4%
50
 
4.4%
49
 
4.3%
1 40
 
3.5%
2 37
 
3.3%
Other values (47) 383
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 702
62.1%
Space Separator 205
 
18.1%
Decimal Number 204
 
18.1%
Dash Punctuation 15
 
1.3%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
135
19.2%
78
11.1%
53
 
7.5%
50
 
7.1%
50
 
7.1%
50
 
7.1%
49
 
7.0%
35
 
5.0%
35
 
5.0%
33
 
4.7%
Other values (32) 134
19.1%
Decimal Number
ValueCountFrequency (%)
1 40
19.6%
2 37
18.1%
5 18
8.8%
6 18
8.8%
9 17
8.3%
8 17
8.3%
3 17
8.3%
4 15
 
7.4%
0 14
 
6.9%
7 11
 
5.4%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 702
62.1%
Common 428
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
135
19.2%
78
11.1%
53
 
7.5%
50
 
7.1%
50
 
7.1%
50
 
7.1%
49
 
7.0%
35
 
5.0%
35
 
5.0%
33
 
4.7%
Other values (32) 134
19.1%
Common
ValueCountFrequency (%)
205
47.9%
1 40
 
9.3%
2 37
 
8.6%
5 18
 
4.2%
6 18
 
4.2%
9 17
 
4.0%
8 17
 
4.0%
3 17
 
4.0%
4 15
 
3.5%
- 15
 
3.5%
Other values (5) 29
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 702
62.1%
ASCII 428
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
47.9%
1 40
 
9.3%
2 37
 
8.6%
5 18
 
4.2%
6 18
 
4.2%
9 17
 
4.0%
8 17
 
4.0%
3 17
 
4.0%
4 15
 
3.5%
- 15
 
3.5%
Other values (5) 29
 
6.8%
Hangul
ValueCountFrequency (%)
135
19.2%
78
11.1%
53
 
7.5%
50
 
7.1%
50
 
7.1%
50
 
7.1%
49
 
7.0%
35
 
5.0%
35
 
5.0%
33
 
4.7%
Other values (32) 134
19.1%
Distinct26
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T08:33:35.183177image/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

Unique25 ?
Unique (%)51.0%

Sample

1st row055-864-5599
2nd row055-862-6107
3rd row000-000-0000
4th row055-867-4647
5th row055-867-2318
ValueCountFrequency (%)
000-000-0000 24
49.0%
055-864-5599 1
 
2.0%
055-864-5353 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%
055-867-8949 1
 
2.0%
055-862-3666 1
 
2.0%
Other values (16) 16
32.7%
2023-12-11T08:33:35.552989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 275
46.8%
- 98
 
16.7%
5 62
 
10.5%
8 39
 
6.6%
6 37
 
6.3%
4 19
 
3.2%
7 19
 
3.2%
3 14
 
2.4%
2 12
 
2.0%
9 7
 
1.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 275
56.1%
5 62
 
12.7%
8 39
 
8.0%
6 37
 
7.6%
4 19
 
3.9%
7 19
 
3.9%
3 14
 
2.9%
2 12
 
2.4%
9 7
 
1.4%
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 (%)
0 275
46.8%
- 98
 
16.7%
5 62
 
10.5%
8 39
 
6.6%
6 37
 
6.3%
4 19
 
3.2%
7 19
 
3.2%
3 14
 
2.4%
2 12
 
2.0%
9 7
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 275
46.8%
- 98
 
16.7%
5 62
 
10.5%
8 39
 
6.6%
6 37
 
6.3%
4 19
 
3.2%
7 19
 
3.2%
3 14
 
2.4%
2 12
 
2.0%
9 7
 
1.2%

홈페이지
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing40
Missing (%)81.6%
Memory size524.0 B
2023-12-11T08:33:35.775510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length28.777778
Min length17

Characters and Unicode

Total characters259
Distinct characters48
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

Unique9 ?
Unique (%)100.0%

Sample

1st rowhttp://동남해부동산.kr/
2nd rowhttps://www.facebook.com/groups/1086995501511318
3rd rowhttps://namhaeansidae.com/
4th rowhttp://cafe.daum.net/NHsinbaram
5th rowhttp://www.남해대진공인.kr
ValueCountFrequency (%)
http://동남해부동산.kr 1
11.1%
https://www.facebook.com/groups/1086995501511318 1
11.1%
https://namhaeansidae.com 1
11.1%
http://cafe.daum.net/nhsinbaram 1
11.1%
http://www.남해대진공인.kr 1
11.1%
https://blog.naver.com/dkfksi/220475544805 1
11.1%
https://blog.naver.com/wojkm 1
11.1%
http://blog.daum.net/daingong 1
11.1%
http://www.하나공인.kr 1
11.1%
2023-12-11T08:33:36.106415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 27
 
10.4%
t 20
 
7.7%
. 16
 
6.2%
a 13
 
5.0%
o 12
 
4.6%
h 10
 
3.9%
p 10
 
3.9%
w 10
 
3.9%
: 9
 
3.5%
n 9
 
3.5%
Other values (38) 123
47.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 161
62.2%
Other Punctuation 52
 
20.1%
Decimal Number 28
 
10.8%
Other Letter 16
 
6.2%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 20
 
12.4%
a 13
 
8.1%
o 12
 
7.5%
h 10
 
6.2%
p 10
 
6.2%
w 10
 
6.2%
n 9
 
5.6%
m 9
 
5.6%
s 8
 
5.0%
e 8
 
5.0%
Other values (12) 52
32.3%
Other Letter
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
Decimal Number
ValueCountFrequency (%)
5 6
21.4%
1 5
17.9%
0 4
14.3%
8 3
10.7%
4 3
10.7%
2 2
 
7.1%
9 2
 
7.1%
7 1
 
3.6%
3 1
 
3.6%
6 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 27
51.9%
. 16
30.8%
: 9
 
17.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
H 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 163
62.9%
Common 80
30.9%
Hangul 16
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 20
 
12.3%
a 13
 
8.0%
o 12
 
7.4%
h 10
 
6.1%
p 10
 
6.1%
w 10
 
6.1%
n 9
 
5.5%
m 9
 
5.5%
s 8
 
4.9%
e 8
 
4.9%
Other values (14) 54
33.1%
Common
ValueCountFrequency (%)
/ 27
33.8%
. 16
20.0%
: 9
 
11.2%
5 6
 
7.5%
1 5
 
6.2%
0 4
 
5.0%
8 3
 
3.8%
4 3
 
3.8%
2 2
 
2.5%
9 2
 
2.5%
Other values (3) 3
 
3.8%
Hangul
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 243
93.8%
Hangul 16
 
6.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 27
 
11.1%
t 20
 
8.2%
. 16
 
6.6%
a 13
 
5.3%
o 12
 
4.9%
h 10
 
4.1%
p 10
 
4.1%
w 10
 
4.1%
: 9
 
3.7%
n 9
 
3.7%
Other values (27) 107
44.0%
Hangul
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

Interactions

2023-12-11T08:33:32.744655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:33:36.190149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사무소 명칭대 표 자소재지전화번호홈페이지
연번1.0001.0001.0000.8690.3871.000
사무소 명칭1.0001.0001.0001.0001.0001.000
대 표 자1.0001.0001.0001.0001.0001.000
소재지0.8691.0001.0001.0000.9901.000
전화번호0.3871.0001.0000.9901.0001.000
홈페이지1.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T08:33:32.842454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:33:32.968430image/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 자소재지전화번호홈페이지비고
01남해공인중개사사무소정영배경상남도 남해군 남해읍 화전로122번가길 40-9055-864-5599<NA><NA>
12상주부동산중개인사무소류권수경상남도 남해군 상주면 남해대로701번길 5-1055-862-6107<NA><NA>
23태양부동산공인중개사사무소정해호경상남도 남해군 창선면 동부대로 2765-9000-000-0000<NA><NA>
34강남부동산컨설팅개발공인중개사사무소강대용경상남도 남해군 삼동면 동부대로1122번길 132-9055-867-4647<NA><NA>
45조은공인중개사이근남경상남도 남해군 삼동면 삼이로 1055-867-2318<NA><NA>
56세명공인중개사사무소김길봉경상남도 남해군 삼동면 삼이로 9000-000-0000<NA><NA>
67동남해공인중개사최부원경상남도 남해군 삼동면 동부대로 1286055-867-8807http://동남해부동산.kr/<NA>
78대길공인중개사이영주경상남도 남해군 이동면 남해대로2375번길 2055-863-0205<NA><NA>
89경남공인중개사사무소김기중경상남도 남해군 창선면 동부대로 2431055-867-6731<NA><NA>
910푸른공인중개사사무소이춘선경상남도 남해군 남해읍 화전로 124055-863-2348https://www.facebook.com/groups/1086995501511318<NA>
연번사무소 명칭대 표 자소재지전화번호홈페이지비고
3940바다공인중개사사무소박영호경상남도 남해군 서면 남서대로 1682000-000-0000<NA><NA>
4041하나공인중개사사무소박하나경상남도 남해군 남해읍 화전로 128055-863-4569http://www.하나공인.kr<NA>
4142대한공인중개사사무소윤영구경상남도 남해군 남해읍 화전로 65-10, 2층000-000-0000<NA><NA>
4243신세계공인중개사사무소이윤혜경상남도 남해군 창선면 동부대로 2919000-000-0000<NA><NA>
4344남해부자공인중개사사무소김송화경상남도 남해군 고현면 남해대로 3391000-000-0000<NA><NA>
4445금화공인중개사사무소김정수경상남도 남해군 삼동면 동부대로 1876번길 5-1000-000-0000<NA><NA>
4546대신공인중개사사무소윤종철경상남도 남해군 이동면 남해대로 2247055-862-8800<NA><NA>
4647선명부동산공인중개사사무소정영주경상남도 남해군 창선면 동부대로 2431000-000-0000<NA><NA>
4748장원부동산공인중개사사무소조윤희경상남도 남해군 이동면 남해대로 2248000-000-0000<NA><NA>
4849모아공인중개사사무소안영희경상남도 남해군 삼동면 동부대로 1866000-000-0000<NA><NA>