Overview

Dataset statistics

Number of variables8
Number of observations157
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory66.8 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description제주특별자치도 서귀포시 관내에 위치하고 있는 마을회관에 관련한 데이터로 읍·면·동, 마을회관명, 주용도, 도로명주소, 위도, 경도, 소유자 등의 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/3083266/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
읍면동 is highly overall correlated with 경도High correlation

Reproduction

Analysis started2024-04-21 02:54:35.903852
Analysis finished2024-04-21 02:54:38.367431
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
남원읍
33 
대정읍
26 
성산읍
23 
안덕면
17 
표선면
17 
Other values (11)
41 

Length

Max length4
Median length3
Mean length3.0063694
Min length3

Unique

Unique4 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
남원읍 33
21.0%
대정읍 26
16.6%
성산읍 23
14.6%
안덕면 17
10.8%
표선면 17
10.8%
예래동 11
 
7.0%
영천동 6
 
3.8%
대륜동 5
 
3.2%
대천동 5
 
3.2%
중문동 4
 
2.5%
Other values (6) 10
 
6.4%

Length

2024-04-21T11:54:38.459116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남원읍 33
21.0%
대정읍 27
17.2%
성산읍 23
14.6%
안덕면 17
10.8%
표선면 17
10.8%
예래동 11
 
7.0%
영천동 6
 
3.8%
대륜동 5
 
3.2%
대천동 5
 
3.2%
중문동 4
 
2.5%
Other values (5) 9
 
5.7%

마을회관명
Text

Distinct107
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T11:54:38.740808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3248408
Min length2

Characters and Unicode

Total characters522
Distinct characters90
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

Unique69 ?
Unique (%)43.9%

Sample

1st row상모1리
2nd row상모2리
3rd row상모3리
4th row하모1리
5th row하모2리
ValueCountFrequency (%)
남원2리 4
 
2.5%
색달 3
 
1.9%
위미1리 3
 
1.9%
화순리 3
 
1.9%
남원1리 3
 
1.9%
신양리 3
 
1.9%
신흥1리 3
 
1.9%
위미2리 3
 
1.9%
성읍1리 3
 
1.9%
상예2 3
 
1.9%
Other values (97) 126
80.3%
2024-04-21T11:54:39.189290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 117
22.4%
1 33
 
6.3%
2 31
 
5.9%
신 20
 
3.8%
동 14
 
2.7%
산 13
 
2.5%
하 12
 
2.3%
상 12
 
2.3%
흥 12
 
2.3%
성 12
 
2.3%
Other values (80) 246
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
85.8%
Decimal Number 71
 
13.6%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 117
26.1%
신 20
 
4.5%
동 14
 
3.1%
산 13
 
2.9%
하 12
 
2.7%
상 12
 
2.7%
흥 12
 
2.7%
성 12
 
2.7%
서 10
 
2.2%
남 9
 
2.0%
Other values (76) 217
48.4%
Decimal Number
ValueCountFrequency (%)
1 33
46.5%
2 31
43.7%
3 7
 
9.9%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
85.8%
Common 74
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 117
26.1%
신 20
 
4.5%
동 14
 
3.1%
산 13
 
2.9%
하 12
 
2.7%
상 12
 
2.7%
흥 12
 
2.7%
성 12
 
2.7%
서 10
 
2.2%
남 9
 
2.0%
Other values (76) 217
48.4%
Common
ValueCountFrequency (%)
1 33
44.6%
2 31
41.9%
3 7
 
9.5%
3
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
85.8%
ASCII 74
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 117
26.1%
신 20
 
4.5%
동 14
 
3.1%
산 13
 
2.9%
하 12
 
2.7%
상 12
 
2.7%
흥 12
 
2.7%
성 12
 
2.7%
서 10
 
2.2%
남 9
 
2.0%
Other values (76) 217
48.4%
ASCII
ValueCountFrequency (%)
1 33
44.6%
2 31
41.9%
3 7
 
9.5%
3
 
4.1%

주용도
Categorical

Distinct30
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
마을회관
95 
복지회관
14 
다목적회관
12 
구)마을회관
 
7
종합복지회관
 
3
Other values (25)
26 

Length

Max length16
Median length4
Mean length4.6815287
Min length4

Unique

Unique24 ?
Unique (%)15.3%

Sample

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

Common Values

ValueCountFrequency (%)
마을회관 95
60.5%
복지회관 14
 
8.9%
다목적회관 12
 
7.6%
구)마을회관 7
 
4.5%
종합복지회관 3
 
1.9%
복지타운 2
 
1.3%
다목적복지회관 1
 
0.6%
종합복지타운 1
 
0.6%
구)노인회관 1
 
0.6%
한마음복지회관 1
 
0.6%
Other values (20) 20
 
12.7%

Length

2024-04-21T11:54:39.377307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마을회관 97
58.8%
복지회관 16
 
9.7%
다목적회관 12
 
7.3%
구)마을회관 7
 
4.2%
종합복지회관 3
 
1.8%
복지타운 3
 
1.8%
마을 2
 
1.2%
2관 1
 
0.6%
복합문화센터(표선의례관 1
 
0.6%
문화회관 1
 
0.6%
Other values (22) 22
 
13.3%

도로명주소
Text

Distinct145
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T11:54:39.676652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length24.414013
Min length18

Characters and Unicode

Total characters3833
Distinct characters129
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)84.7%

Sample

1st row제주특별자치도 서귀포시 대정읍 상모인성로 18
2nd row제주특별자치도 서귀포시 대정읍 상모로274번길 10
3rd row제주특별자치도 서귀포시 대정읍 영서중로 45-4
4th row제주특별자치도 서귀포시 대정읍 최남단해안로125번길 47
5th row제주특별자치도 서귀포시 대정읍 신영로94번길 7
ValueCountFrequency (%)
제주특별자치도 157
21.1%
서귀포시 157
21.1%
남원읍 33
 
4.4%
대정읍 27
 
3.6%
성산읍 23
 
3.1%
표선면 17
 
2.3%
안덕면 17
 
2.3%
2 6
 
0.8%
일주동로 5
 
0.7%
중산간서로 5
 
0.7%
Other values (230) 298
40.0%
2024-04-21T11:54:40.164251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
588
 
15.3%
서 181
 
4.7%
주 162
 
4.2%
도 161
 
4.2%
제 160
 
4.2%
포 159
 
4.1%
시 159
 
4.1%
자 158
 
4.1%
특 157
 
4.1%
별 157
 
4.1%
Other values (119) 1791
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2761
72.0%
Space Separator 588
 
15.3%
Decimal Number 457
 
11.9%
Dash Punctuation 27
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 181
 
6.6%
주 162
 
5.9%
도 161
 
5.8%
제 160
 
5.8%
포 159
 
5.8%
시 159
 
5.8%
자 158
 
5.7%
특 157
 
5.7%
별 157
 
5.7%
치 157
 
5.7%
Other values (107) 1150
41.7%
Decimal Number
ValueCountFrequency (%)
2 72
15.8%
1 71
15.5%
3 50
10.9%
4 47
10.3%
7 46
10.1%
5 40
8.8%
6 39
8.5%
8 32
7.0%
0 31
6.8%
9 29
6.3%
Space Separator
ValueCountFrequency (%)
588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2761
72.0%
Common 1072
 
28.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 181
 
6.6%
주 162
 
5.9%
도 161
 
5.8%
제 160
 
5.8%
포 159
 
5.8%
시 159
 
5.8%
자 158
 
5.7%
특 157
 
5.7%
별 157
 
5.7%
치 157
 
5.7%
Other values (107) 1150
41.7%
Common
ValueCountFrequency (%)
588
54.9%
2 72
 
6.7%
1 71
 
6.6%
3 50
 
4.7%
4 47
 
4.4%
7 46
 
4.3%
5 40
 
3.7%
6 39
 
3.6%
8 32
 
3.0%
0 31
 
2.9%
Other values (2) 56
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2761
72.0%
ASCII 1072
 
28.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
588
54.9%
2 72
 
6.7%
1 71
 
6.6%
3 50
 
4.7%
4 47
 
4.4%
7 46
 
4.3%
5 40
 
3.7%
6 39
 
3.6%
8 32
 
3.0%
0 31
 
2.9%
Other values (2) 56
 
5.2%
Hangul
ValueCountFrequency (%)
서 181
 
6.6%
주 162
 
5.9%
도 161
 
5.8%
제 160
 
5.8%
포 159
 
5.8%
시 159
 
5.8%
자 158
 
5.7%
특 157
 
5.7%
별 157
 
5.7%
치 157
 
5.7%
Other values (107) 1150
41.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct145
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.296096
Minimum33.118036
Maximum33.476152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T11:54:40.292764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.118036
5-th percentile33.227803
Q133.253965
median33.277622
Q333.318712
95-th percentile33.442673
Maximum33.476152
Range0.35811614
Interquartile range (IQR)0.06474747

Descriptive statistics

Standard deviation0.064860664
Coefficient of variation (CV)0.0019479961
Kurtosis1.0298441
Mean33.296096
Median Absolute Deviation (MAD)0.02888605
Skewness1.0715101
Sum5227.487
Variance0.0042069057
MonotonicityNot monotonic
2024-04-21T11:54:40.420377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.28812221 2
 
1.3%
33.26082964 2
 
1.3%
33.27781885 2
 
1.3%
33.29480909 2
 
1.3%
33.2927535 2
 
1.3%
33.40812099 2
 
1.3%
33.28343939 2
 
1.3%
33.3070418 2
 
1.3%
33.29359307 2
 
1.3%
33.32646594 2
 
1.3%
Other values (135) 137
87.3%
ValueCountFrequency (%)
33.11803595 1
0.6%
33.16643785 1
0.6%
33.21596122 1
0.6%
33.2202503 1
0.6%
33.22177159 1
0.6%
33.22194903 1
0.6%
33.22421289 1
0.6%
33.22637183 1
0.6%
33.22816111 1
0.6%
33.22854011 1
0.6%
ValueCountFrequency (%)
33.47615209 1
0.6%
33.47406784 1
0.6%
33.46488769 1
0.6%
33.46362892 1
0.6%
33.46148591 1
0.6%
33.46124364 1
0.6%
33.44587995 1
0.6%
33.4448401 1
0.6%
33.44213138 1
0.6%
33.43867515 1
0.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct145
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.56848
Minimum126.17485
Maximum126.93428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T11:54:40.567293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.17485
5-th percentile126.23634
Q1126.36589
median126.60241
Q3126.7676
95-th percentile126.90254
Maximum126.93428
Range0.759423
Interquartile range (IQR)0.4017117

Descriptive statistics

Standard deviation0.22890211
Coefficient of variation (CV)0.0018085238
Kurtosis-1.3670977
Mean126.56848
Median Absolute Deviation (MAD)0.2126422
Skewness-0.082557959
Sum19871.252
Variance0.052396177
MonotonicityNot monotonic
2024-04-21T11:54:40.720408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6272191 2
 
1.3%
126.4104613 2
 
1.3%
126.7161553 2
 
1.3%
126.7114149 2
 
1.3%
126.7099186 2
 
1.3%
126.9001727 2
 
1.3%
126.7331455 2
 
1.3%
126.801229 2
 
1.3%
126.7584735 2
 
1.3%
126.7657378 2
 
1.3%
Other values (135) 137
87.3%
ValueCountFrequency (%)
126.1748541 1
0.6%
126.1845117 1
0.6%
126.1917502 1
0.6%
126.2029889 1
0.6%
126.2109754 1
0.6%
126.223833 1
0.6%
126.2238461 1
0.6%
126.235267 1
0.6%
126.2366042 1
0.6%
126.2397067 1
0.6%
ValueCountFrequency (%)
126.9342771 1
0.6%
126.93405 1
0.6%
126.9178536 1
0.6%
126.9174469 1
0.6%
126.9173812 1
0.6%
126.9149862 1
0.6%
126.9148198 1
0.6%
126.9120212 1
0.6%
126.9001727 2
1.3%
126.898993 1
0.6%

소유자
Text

Distinct112
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T11:54:40.989923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7
Min length4

Characters and Unicode

Total characters1099
Distinct characters103
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)48.4%

Sample

1st row이교동마을회
2nd row상모2리 마을회
3rd row상모3리 마을회
4th row하모1리 마을회
5th row하모2리마을회
ValueCountFrequency (%)
마을회 67
29.5%
제주특별자치도 6
 
2.6%
남원2리 4
 
1.8%
색달마을회장 3
 
1.3%
성읍1리 3
 
1.3%
상예2마을회장 3
 
1.3%
신양리마을회 3
 
1.3%
위미2리 3
 
1.3%
의귀리 2
 
0.9%
시흥리마을회 2
 
0.9%
Other values (102) 131
57.7%
2024-04-21T11:54:41.346063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 151
13.7%
마 150
13.6%
을 149
13.6%
리 114
 
10.4%
75
 
6.8%
2 33
 
3.0%
1 29
 
2.6%
신 20
 
1.8%
동 17
 
1.5%
장 16
 
1.5%
Other values (93) 345
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 951
86.5%
Space Separator 75
 
6.8%
Decimal Number 69
 
6.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 151
15.9%
마 150
15.8%
을 149
15.7%
리 114
 
12.0%
신 20
 
2.1%
동 17
 
1.8%
장 16
 
1.7%
성 13
 
1.4%
산 13
 
1.4%
하 12
 
1.3%
Other values (87) 296
31.1%
Decimal Number
ValueCountFrequency (%)
2 33
47.8%
1 29
42.0%
3 7
 
10.1%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 951
86.5%
Common 148
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 151
15.9%
마 150
15.8%
을 149
15.7%
리 114
 
12.0%
신 20
 
2.1%
동 17
 
1.8%
장 16
 
1.7%
성 13
 
1.4%
산 13
 
1.4%
하 12
 
1.3%
Other values (87) 296
31.1%
Common
ValueCountFrequency (%)
75
50.7%
2 33
22.3%
1 29
 
19.6%
3 7
 
4.7%
) 2
 
1.4%
( 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 951
86.5%
ASCII 148
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 151
15.9%
마 150
15.8%
을 149
15.7%
리 114
 
12.0%
신 20
 
2.1%
동 17
 
1.8%
장 16
 
1.7%
성 13
 
1.4%
산 13
 
1.4%
하 12
 
1.3%
Other values (87) 296
31.1%
ASCII
ValueCountFrequency (%)
75
50.7%
2 33
22.3%
1 29
 
19.6%
3 7
 
4.7%
) 2
 
1.4%
( 2
 
1.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-12
157 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-12
2nd row2024-04-12
3rd row2024-04-12
4th row2024-04-12
5th row2024-04-12

Common Values

ValueCountFrequency (%)
2024-04-12 157
100.0%

Length

2024-04-21T11:54:41.471935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:54:41.562191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-12 157
100.0%

Interactions

2024-04-21T11:54:37.835739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:54:37.517820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:54:37.971216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:54:37.676284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:54:41.617307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동주용도위도경도
읍면동1.0000.5390.6980.934
주용도0.5391.0000.0000.488
위도0.6980.0001.0000.847
경도0.9340.4880.8471.000
2024-04-21T11:54:41.695674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동주용도
읍면동1.0000.170
주용도0.1701.000
2024-04-21T11:54:41.767433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동주용도
위도1.0000.8110.3540.000
경도0.8111.0000.7200.160
읍면동0.3540.7201.0000.170
주용도0.0000.1600.1701.000

Missing values

2024-04-21T11:54:38.149427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:54:38.294060image/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

읍면동마을회관명주용도도로명주소위도경도소유자데이터기준일자
0대정읍상모1리마을회관제주특별자치도 서귀포시 대정읍 상모인성로 1833.226372126.269481이교동마을회2024-04-12
1대정읍상모2리마을회관제주특별자치도 서귀포시 대정읍 상모로274번길 1033.224213126.259943상모2리 마을회2024-04-12
2대정읍상모3리마을회관제주특별자치도 서귀포시 대정읍 영서중로 45-433.221949126.258293상모3리 마을회2024-04-12
3대정읍하모1리마을회관제주특별자치도 서귀포시 대정읍 최남단해안로125번길 4733.215961126.257507하모1리 마을회2024-04-12
4대정읍하모2리마을회관제주특별자치도 서귀포시 대정읍 신영로94번길 733.22025126.253455하모2리마을회2024-04-12
5대정읍하모3리마을회관제주특별자치도 서귀포시 대정읍 하모상가로 933.221772126.249752하모3리 마을회2024-04-12
6대정읍동일1리마을회관제주특별자치도 서귀포시 대정읍 동일하모로 9933.22854126.243072동일리 마을회2024-04-12
7대정읍동일1리다목적회관제주특별자치도 서귀포시 대정읍 동일하모로 8833.228161126.241243동일1리 마을회2024-04-12
8대정읍동일2리마을회관제주특별자치도 서귀포시 대정읍 암반수마농로329번길 1833.257843126.236604동일2리 마을회2024-04-12
9대정읍일과1리마을회관제주특별자치도 서귀포시 대정읍 암반수마농로55번길 3433.234672126.239707일과1리 마을회2024-04-12
읍면동마을회관명주용도도로명주소위도경도소유자데이터기준일자
147예래동색달청년회관제주특별자치도 서귀포시 색달로72번길 233.26083126.410461색달마을회장2024-04-12
148예래동색달복지회관제주특별자치도 서귀포시 색달로 7433.260967126.411383색달마을회장2024-04-12
149예래동상예1마을회관제주특별자치도 서귀포시 예래로144번길 4233.248736126.3884상예1마을회장2024-04-12
150예래동상예1복지타운제주특별자치도 서귀포시 상예로 7733.253225126.389767상예1마을회장2024-04-12
151예래동상예2마을회관제주특별자치도 서귀포시 존제로15번길 233.265719126.376964상예2마을회장2024-04-12
152예래동상예2복지회관(존제관)제주특별자치도 서귀포시 존제로 1233.26539126.377546상예2마을회장2024-04-12
153예래동상예2마을 복지타운제주특별자치도 서귀포시 존제로 1033.265222126.377801상예2마을회장2024-04-12
154예래동하예1마을회관제주특별자치도 서귀포시 하예로 1-333.243444126.386049하예1마을회2024-04-12
155예래동하예2마을회관제주특별자치도 서귀포시 예래로 41633.236513126.373292하예2마을회장2024-04-12
156예래동하예2마을 복지회관제주특별자치도 서귀포시 예래로 41633.236513126.373292하예2마을회장2024-04-12