Overview

Dataset statistics

Number of variables7
Number of observations157
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory58.8 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description전라북도 무주군의 행정기관 현황으로 소속, 소재지도로명주소, 소재지지번주소, 위도, 경도, 전화번호, 데이터기준일자 등의 항목으로 구성
URLhttps://www.data.go.kr/data/15013855/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소속 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:22:22.867918
Analysis finished2023-12-12 20:22:23.964349
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소속
Text

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:22:24.364178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.9299363
Min length4

Characters and Unicode

Total characters1245
Distinct characters113
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)100.0%

Sample

1st row무주군청
2nd row무주읍사무소
3rd row무주읍 사정마을
4th row무주읍 교동마을
5th row무주읍 신교마을
ValueCountFrequency (%)
안성면 36
 
11.7%
무주읍 31
 
10.1%
적상면 25
 
8.1%
설천면 25
 
8.1%
무풍면 17
 
5.5%
부남면 16
 
5.2%
교동마을 2
 
0.7%
하이목마을 1
 
0.3%
하조마을 1
 
0.3%
상조마을 1
 
0.3%
Other values (152) 152
49.5%
2023-12-13T05:22:24.959260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 154
 
12.4%
151
 
12.1%
을 150
 
12.0%
면 125
 
10.0%
무 58
 
4.7%
안 42
 
3.4%
성 39
 
3.1%
상 39
 
3.1%
주 35
 
2.8%
천 32
 
2.6%
Other values (103) 420
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1094
87.9%
Space Separator 151
 
12.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 154
 
14.1%
을 150
 
13.7%
면 125
 
11.4%
무 58
 
5.3%
안 42
 
3.8%
성 39
 
3.6%
상 39
 
3.6%
주 35
 
3.2%
천 32
 
2.9%
읍 32
 
2.9%
Other values (102) 388
35.5%
Space Separator
ValueCountFrequency (%)
151
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1094
87.9%
Common 151
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 154
 
14.1%
을 150
 
13.7%
면 125
 
11.4%
무 58
 
5.3%
안 42
 
3.8%
성 39
 
3.6%
상 39
 
3.6%
주 35
 
3.2%
천 32
 
2.9%
읍 32
 
2.9%
Other values (102) 388
35.5%
Common
ValueCountFrequency (%)
151
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1094
87.9%
ASCII 151
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 154
 
14.1%
을 150
 
13.7%
면 125
 
11.4%
무 58
 
5.3%
안 42
 
3.8%
성 39
 
3.6%
상 39
 
3.6%
주 35
 
3.2%
천 32
 
2.9%
읍 32
 
2.9%
Other values (102) 388
35.5%
ASCII
ValueCountFrequency (%)
151
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:22:25.438690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length19.929936
Min length13

Characters and Unicode

Total characters3129
Distinct characters135
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

Unique157 ?
Unique (%)100.0%

Sample

1st row전라북도 무주군 무주읍 주계로 97
2nd row전라북도 무주군 무주읍 향학로 49
3rd row전라북도 무주군 무주읍 단천로 141
4th row전라북도 무주군 무주읍 읍내리 273-1
5th row전라북도 무주군 무주읍 신교로 3길 10
ValueCountFrequency (%)
전라북도 157
20.0%
무주군 157
20.0%
안성면 37
 
4.7%
무주읍 33
 
4.2%
설천면 26
 
3.3%
적상면 26
 
3.3%
무풍면 18
 
2.3%
부남면 17
 
2.2%
9 5
 
0.6%
11 4
 
0.5%
Other values (254) 304
38.8%
2023-12-13T05:22:26.093991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
630
20.1%
무 213
 
6.8%
주 194
 
6.2%
도 163
 
5.2%
북 160
 
5.1%
전 159
 
5.1%
라 157
 
5.0%
군 157
 
5.0%
면 125
 
4.0%
길 117
 
3.7%
Other values (125) 1054
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2075
66.3%
Space Separator 630
 
20.1%
Decimal Number 389
 
12.4%
Dash Punctuation 35
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 213
 
10.3%
주 194
 
9.3%
도 163
 
7.9%
북 160
 
7.7%
전 159
 
7.7%
라 157
 
7.6%
군 157
 
7.6%
면 125
 
6.0%
길 117
 
5.6%
안 45
 
2.2%
Other values (113) 585
28.2%
Decimal Number
ValueCountFrequency (%)
1 107
27.5%
3 58
14.9%
2 50
12.9%
5 31
 
8.0%
4 29
 
7.5%
7 28
 
7.2%
6 24
 
6.2%
0 23
 
5.9%
8 20
 
5.1%
9 19
 
4.9%
Space Separator
ValueCountFrequency (%)
630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2075
66.3%
Common 1054
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 213
 
10.3%
주 194
 
9.3%
도 163
 
7.9%
북 160
 
7.7%
전 159
 
7.7%
라 157
 
7.6%
군 157
 
7.6%
면 125
 
6.0%
길 117
 
5.6%
안 45
 
2.2%
Other values (113) 585
28.2%
Common
ValueCountFrequency (%)
630
59.8%
1 107
 
10.2%
3 58
 
5.5%
2 50
 
4.7%
- 35
 
3.3%
5 31
 
2.9%
4 29
 
2.8%
7 28
 
2.7%
6 24
 
2.3%
0 23
 
2.2%
Other values (2) 39
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2075
66.3%
ASCII 1054
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
630
59.8%
1 107
 
10.2%
3 58
 
5.5%
2 50
 
4.7%
- 35
 
3.3%
5 31
 
2.9%
4 29
 
2.8%
7 28
 
2.7%
6 24
 
2.3%
0 23
 
2.2%
Other values (2) 39
 
3.7%
Hangul
ValueCountFrequency (%)
무 213
 
10.3%
주 194
 
9.3%
도 163
 
7.9%
북 160
 
7.7%
전 159
 
7.7%
라 157
 
7.6%
군 157
 
7.6%
면 125
 
6.0%
길 117
 
5.6%
안 45
 
2.2%
Other values (113) 585
28.2%

소재지지번주소
Text

Distinct156
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:22:26.588214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.980892
Min length19

Characters and Unicode

Total characters3451
Distinct characters77
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

Unique155 ?
Unique (%)98.7%

Sample

1st row전라북도 무주군 무주읍 읍내리 229-2
2nd row전라북도 무주군 무주읍 읍내리 316
3rd row전라북도 무주군 무주읍 읍내리 116-4
4th row전라북도 무주군 무주읍 읍내리 273-1
5th row전라북도 무주군 무주읍 읍내리 1427-2
ValueCountFrequency (%)
전라북도 157
20.0%
무주군 157
20.0%
안성면 37
 
4.7%
무주읍 33
 
4.2%
설천면 26
 
3.3%
적상면 26
 
3.3%
무풍면 18
 
2.3%
부남면 17
 
2.2%
읍내리 12
 
1.5%
금평리 8
 
1.0%
Other values (199) 294
37.5%
2023-12-13T05:22:27.203690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
628
18.2%
무 208
 
6.0%
주 190
 
5.5%
1 170
 
4.9%
도 166
 
4.8%
전 160
 
4.6%
북 159
 
4.6%
라 157
 
4.5%
리 157
 
4.5%
군 157
 
4.5%
Other values (67) 1299
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2042
59.2%
Decimal Number 656
 
19.0%
Space Separator 628
 
18.2%
Dash Punctuation 125
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 208
10.2%
주 190
 
9.3%
도 166
 
8.1%
전 160
 
7.8%
북 159
 
7.8%
라 157
 
7.7%
리 157
 
7.7%
군 157
 
7.7%
면 124
 
6.1%
읍 45
 
2.2%
Other values (55) 519
25.4%
Decimal Number
ValueCountFrequency (%)
1 170
25.9%
2 64
 
9.8%
7 62
 
9.5%
3 61
 
9.3%
5 58
 
8.8%
4 57
 
8.7%
6 51
 
7.8%
9 49
 
7.5%
0 43
 
6.6%
8 41
 
6.2%
Space Separator
ValueCountFrequency (%)
628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2042
59.2%
Common 1409
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 208
10.2%
주 190
 
9.3%
도 166
 
8.1%
전 160
 
7.8%
북 159
 
7.8%
라 157
 
7.7%
리 157
 
7.7%
군 157
 
7.7%
면 124
 
6.1%
읍 45
 
2.2%
Other values (55) 519
25.4%
Common
ValueCountFrequency (%)
628
44.6%
1 170
 
12.1%
- 125
 
8.9%
2 64
 
4.5%
7 62
 
4.4%
3 61
 
4.3%
5 58
 
4.1%
4 57
 
4.0%
6 51
 
3.6%
9 49
 
3.5%
Other values (2) 84
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2042
59.2%
ASCII 1409
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
628
44.6%
1 170
 
12.1%
- 125
 
8.9%
2 64
 
4.5%
7 62
 
4.4%
3 61
 
4.3%
5 58
 
4.1%
4 57
 
4.0%
6 51
 
3.6%
9 49
 
3.5%
Other values (2) 84
 
6.0%
Hangul
ValueCountFrequency (%)
무 208
10.2%
주 190
 
9.3%
도 166
 
8.1%
전 160
 
7.8%
북 159
 
7.8%
라 157
 
7.7%
리 157
 
7.7%
군 157
 
7.7%
면 124
 
6.1%
읍 45
 
2.2%
Other values (55) 519
25.4%

위도
Real number (ℝ)

Distinct150
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.943115
Minimum35.815256
Maximum36.050701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:22:27.400203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.815256
5-th percentile35.838671
Q135.885357
median35.950957
Q336.00324
95-th percentile36.028183
Maximum36.050701
Range0.235445
Interquartile range (IQR)0.117883

Descriptive statistics

Standard deviation0.06340096
Coefficient of variation (CV)0.001763925
Kurtosis-1.0628801
Mean35.943115
Median Absolute Deviation (MAD)0.055142
Skewness-0.33622228
Sum5643.0691
Variance0.0040196818
MonotonicityNot monotonic
2023-12-13T05:22:27.627121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.815256 4
 
2.5%
35.965813 3
 
1.9%
35.874359 2
 
1.3%
35.988853 2
 
1.3%
36.007034 1
 
0.6%
35.866542 1
 
0.6%
35.930247 1
 
0.6%
35.927481 1
 
0.6%
35.913035 1
 
0.6%
35.863721 1
 
0.6%
Other values (140) 140
89.2%
ValueCountFrequency (%)
35.815256 4
2.5%
35.818537 1
 
0.6%
35.820245 1
 
0.6%
35.827697 1
 
0.6%
35.835035 1
 
0.6%
35.83958 1
 
0.6%
35.842703 1
 
0.6%
35.844672 1
 
0.6%
35.847711 1
 
0.6%
35.848678 1
 
0.6%
ValueCountFrequency (%)
36.050701 1
0.6%
36.048347 1
0.6%
36.045943 1
0.6%
36.033032 1
0.6%
36.030867 1
0.6%
36.030386 1
0.6%
36.029813 1
0.6%
36.028957 1
0.6%
36.02799 1
0.6%
36.027082 1
0.6%

경도
Real number (ℝ)

Distinct150
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.69388
Minimum127.54873
Maximum127.88671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:22:27.833762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.54873
5-th percentile127.57178
Q1127.64408
median127.67353
Q3127.75162
95-th percentile127.8498
Maximum127.88671
Range0.337986
Interquartile range (IQR)0.107545

Descriptive statistics

Standard deviation0.084060757
Coefficient of variation (CV)0.00065829902
Kurtosis-0.43203983
Mean127.69388
Median Absolute Deviation (MAD)0.042946
Skewness0.58042129
Sum20047.939
Variance0.0070662109
MonotonicityNot monotonic
2023-12-13T05:22:28.330596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.689586 4
 
2.5%
127.784824 3
 
1.9%
127.774819 2
 
1.3%
127.58652 2
 
1.3%
127.66073 1
 
0.6%
127.652263 1
 
0.6%
127.708521 1
 
0.6%
127.716479 1
 
0.6%
127.716894 1
 
0.6%
127.653157 1
 
0.6%
Other values (140) 140
89.2%
ValueCountFrequency (%)
127.548729 1
0.6%
127.551302 1
0.6%
127.552138 1
0.6%
127.555449 1
0.6%
127.558374 1
0.6%
127.559014 1
0.6%
127.561423 1
0.6%
127.567692 1
0.6%
127.572796 1
0.6%
127.573457 1
0.6%
ValueCountFrequency (%)
127.886715 1
0.6%
127.885355 1
0.6%
127.877569 1
0.6%
127.870118 1
0.6%
127.858138 1
0.6%
127.854789 1
0.6%
127.850173 1
0.6%
127.849974 1
0.6%
127.849757 1
0.6%
127.849588 1
0.6%

전화번호
Text

Distinct71
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T05:22:28.649720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1884
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

Unique65 ?
Unique (%)41.4%

Sample

1st row063-320-2222
2nd row063-320-5705
3rd row063-320-5705
4th row063-320-5705
5th row063-320-5705
ValueCountFrequency (%)
063-320-5705 31
19.7%
063-320-5852 25
15.9%
063-320-5953 16
 
10.2%
063-320-5752 8
 
5.1%
063-320-5803 8
 
5.1%
063-320-5903 4
 
2.5%
063-323-3459 1
 
0.6%
063-323-3434 1
 
0.6%
063-323-2335 1
 
0.6%
063-323-0073 1
 
0.6%
Other values (61) 61
38.9%
2023-12-13T05:22:29.073232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 414
22.0%
0 322
17.1%
- 314
16.7%
2 240
12.7%
5 193
10.2%
6 175
9.3%
7 65
 
3.5%
4 50
 
2.7%
8 48
 
2.5%
9 39
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1570
83.3%
Dash Punctuation 314
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 414
26.4%
0 322
20.5%
2 240
15.3%
5 193
12.3%
6 175
11.1%
7 65
 
4.1%
4 50
 
3.2%
8 48
 
3.1%
9 39
 
2.5%
1 24
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 314
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 414
22.0%
0 322
17.1%
- 314
16.7%
2 240
12.7%
5 193
10.2%
6 175
9.3%
7 65
 
3.5%
4 50
 
2.7%
8 48
 
2.5%
9 39
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 414
22.0%
0 322
17.1%
- 314
16.7%
2 240
12.7%
5 193
10.2%
6 175
9.3%
7 65
 
3.5%
4 50
 
2.7%
8 48
 
2.5%
9 39
 
2.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-03-07
157 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-07
2nd row2023-03-07
3rd row2023-03-07
4th row2023-03-07
5th row2023-03-07

Common Values

ValueCountFrequency (%)
2023-03-07 157
100.0%

Length

2023-12-13T05:22:29.235590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:22:29.326780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-07 157
100.0%

Interactions

2023-12-13T05:22:23.479496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:22:23.228515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:22:23.602967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:22:23.348354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:22:29.413744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도전화번호
위도1.0000.7020.793
경도0.7021.0000.885
전화번호0.7930.8851.000
2023-12-13T05:22:29.525620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.013
경도0.0131.000

Missing values

2023-12-13T05:22:23.749542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:22:23.903518image/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

소속소재지도로명주소소재지지번주소위도경도전화번호데이터기준일자
0무주군청전라북도 무주군 무주읍 주계로 97전라북도 무주군 무주읍 읍내리 229-236.007034127.66073063-320-22222023-03-07
1무주읍사무소전라북도 무주군 무주읍 향학로 49전라북도 무주군 무주읍 읍내리 31636.008716127.662077063-320-57052023-03-07
2무주읍 사정마을전라북도 무주군 무주읍 단천로 141전라북도 무주군 무주읍 읍내리 116-436.00809127.666597063-320-57052023-03-07
3무주읍 교동마을전라북도 무주군 무주읍 읍내리 273-1전라북도 무주군 무주읍 읍내리 273-136.008106127.662515063-320-57052023-03-07
4무주읍 신교마을전라북도 무주군 무주읍 신교로 3길 10전라북도 무주군 무주읍 읍내리 1427-236.009567127.666677063-320-57052023-03-07
5무주읍 한수마을전라북도 무주군 무주읍 한수로 1길 5-1전라북도 무주군 무주읍 읍내리 351-336.011319127.662706063-320-57052023-03-07
6무주읍 다양마을전라북도 무주군 무주읍 다양길 16전라북도 무주군 무주읍 읍내리 310-436.008838127.661128063-320-57052023-03-07
7무주읍 향산마을전라북도 무주군 무주읍 죽향로 20-1전라북도 무주군 무주읍 읍내리 77736.009092127.656865063-320-57052023-03-07
8무주읍 운교마을전라북도 무주군 무주읍 교동1길 13전라북도 무주군 무주읍 읍내리 294-1836.00982127.66399063-320-57052023-03-07
9무주읍 남천마을전라북도 무주군 무주읍 주계로 92-3전라북도 무주군 무주읍 읍내리 977-136.006193127.66041063-320-57052023-03-07
소속소재지도로명주소소재지지번주소위도경도전화번호데이터기준일자
147부남면 대티마을전라북도 무주군 부남면 대티길 58전라북도 무주군 부남면 대유리 127-135.99542127.573457063-320-59532023-03-07
148부남면 유동마을전라북도 무주군 부남면 대홍로 23전라북도 무주군 부남면 대유리 73835.985114127.555449063-320-59532023-03-07
149부남면 대소마을전라북도 무주군 부남면 대소2길 6전라북도 무주군 부남면 대소리 144-135.973272127.561423063-320-59532023-03-07
150부남면 도소마을전라북도 무주군 부남면 유섬길 155전라북도 무주군 부남면 대소리 1433-235.971692127.548729063-320-59532023-03-07
151부남면 유평마을전라북도 무주군 부남면 유섬길 80전라북도 무주군 부남면 대소리 1059-435.965982127.552138063-322-36902023-03-07
152부남면 고창마을전라북도 무주군 부남면 고창길 15-1전라북도 무주군 부남면 고창리 304-135.942842127.567692063-320-59532023-03-07
153부남면 식암마을전라북도 무주군 부남면 부남로 138전라북도 무주군 부남면 장안리 502-935.916808127.584475063-320-59532023-03-07
154부남면 교동마을전라북도 무주군 부남면 장안교동길 6전라북도 무주군 부남면 장안리 882-1735.908301127.587426063-320-59532023-03-07
155부남면 장안마을전라북도 무주군 부남면 장안길 14-3전라북도 무주군 부남면 장안리 144-535.903895127.592073063-320-59532023-03-07
156부남면 상대마을전라북도 무주군 부남면 상대곡길 142-6전라북도 무주군 부남면 장안리 157235.887316127.587932063-320-59532023-03-07