Overview

Dataset statistics

Number of variables10
Number of observations1096
Missing cells710
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.0 KiB
Average record size in memory83.1 B

Variable types

Numeric2
Text2
Categorical3
DateTime3

Dataset

Description강원도 인제군에 소재한 신재생에너지 사업(태양광, 풍력 등) 허가와 관련한 데이터로 발전소명, 용량, 주소 등 항목을 제공합니다.
Author강원도 인제군
URLhttps://www.data.go.kr/data/15033943/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
공급전압 is highly imbalanced (89.7%)Imbalance
설치구분 is highly imbalanced (79.7%)Imbalance
지목 is highly imbalanced (60.0%)Imbalance
사업개시신고일자 has 710 (64.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:48:42.754813
Analysis finished2023-12-12 10:48:44.467636
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1096
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548.5
Minimum1
Maximum1096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2023-12-12T19:48:44.588272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.75
Q1274.75
median548.5
Q3822.25
95-th percentile1041.25
Maximum1096
Range1095
Interquartile range (IQR)547.5

Descriptive statistics

Standard deviation316.53225
Coefficient of variation (CV)0.57708706
Kurtosis-1.2
Mean548.5
Median Absolute Deviation (MAD)274
Skewness0
Sum601156
Variance100192.67
MonotonicityStrictly increasing
2023-12-12T19:48:44.772988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
730 1
 
0.1%
736 1
 
0.1%
735 1
 
0.1%
734 1
 
0.1%
733 1
 
0.1%
732 1
 
0.1%
731 1
 
0.1%
729 1
 
0.1%
755 1
 
0.1%
Other values (1086) 1086
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1096 1
0.1%
1095 1
0.1%
1094 1
0.1%
1093 1
0.1%
1092 1
0.1%
1091 1
0.1%
1090 1
0.1%
1089 1
0.1%
1088 1
0.1%
1087 1
0.1%
Distinct1058
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-12T19:48:45.251596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length10.237226
Min length2

Characters and Unicode

Total characters11220
Distinct characters353
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1021 ?
Unique (%)93.2%

Sample

1st row대터2 태양광발전소
2nd row인제 원통고 태양광발전소
3rd row인제 기린중 태양광발전소
4th row가리산리 태양광발전소
5th row강희태 태양광발전소
ValueCountFrequency (%)
태양광발전소 964
44.7%
발전소 19
 
0.9%
es인제 9
 
0.4%
2호 9
 
0.4%
1호 7
 
0.3%
태양광 7
 
0.3%
에너지 6
 
0.3%
인제 4
 
0.2%
햇살가득 3
 
0.1%
천도리 3
 
0.1%
Other values (1043) 1126
52.2%
2023-12-12T19:48:45.970241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1063
 
9.5%
1047
 
9.3%
1042
 
9.3%
1033
 
9.2%
1024
 
9.1%
1016
 
9.1%
1005
 
9.0%
422
 
3.8%
2 220
 
2.0%
1 209
 
1.9%
Other values (343) 3139
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9402
83.8%
Space Separator 1063
 
9.5%
Decimal Number 666
 
5.9%
Uppercase Letter 69
 
0.6%
Other Symbol 7
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1047
11.1%
1042
11.1%
1033
11.0%
1024
 
10.9%
1016
 
10.8%
1005
 
10.7%
422
 
4.5%
93
 
1.0%
89
 
0.9%
66
 
0.7%
Other values (309) 2565
27.3%
Uppercase Letter
ValueCountFrequency (%)
S 19
27.5%
E 9
13.0%
O 5
 
7.2%
A 5
 
7.2%
J 5
 
7.2%
H 4
 
5.8%
D 4
 
5.8%
M 3
 
4.3%
B 2
 
2.9%
Y 2
 
2.9%
Other values (9) 11
15.9%
Decimal Number
ValueCountFrequency (%)
2 220
33.0%
1 209
31.4%
3 88
 
13.2%
4 48
 
7.2%
5 30
 
4.5%
6 23
 
3.5%
7 19
 
2.9%
8 13
 
2.0%
0 11
 
1.7%
9 5
 
0.8%
Space Separator
ValueCountFrequency (%)
1063
100.0%
Other Symbol
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9409
83.9%
Common 1742
 
15.5%
Latin 69
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1047
11.1%
1042
11.1%
1033
11.0%
1024
 
10.9%
1016
 
10.8%
1005
 
10.7%
422
 
4.5%
93
 
1.0%
89
 
0.9%
66
 
0.7%
Other values (310) 2572
27.3%
Latin
ValueCountFrequency (%)
S 19
27.5%
E 9
13.0%
O 5
 
7.2%
A 5
 
7.2%
J 5
 
7.2%
H 4
 
5.8%
D 4
 
5.8%
M 3
 
4.3%
B 2
 
2.9%
Y 2
 
2.9%
Other values (9) 11
15.9%
Common
ValueCountFrequency (%)
1063
61.0%
2 220
 
12.6%
1 209
 
12.0%
3 88
 
5.1%
4 48
 
2.8%
5 30
 
1.7%
6 23
 
1.3%
7 19
 
1.1%
8 13
 
0.7%
0 11
 
0.6%
Other values (4) 18
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9402
83.8%
ASCII 1811
 
16.1%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1063
58.7%
2 220
 
12.1%
1 209
 
11.5%
3 88
 
4.9%
4 48
 
2.7%
5 30
 
1.7%
6 23
 
1.3%
7 19
 
1.0%
S 19
 
1.0%
8 13
 
0.7%
Other values (23) 79
 
4.4%
Hangul
ValueCountFrequency (%)
1047
11.1%
1042
11.1%
1033
11.0%
1024
 
10.9%
1016
 
10.8%
1005
 
10.7%
422
 
4.5%
93
 
1.0%
89
 
0.9%
66
 
0.7%
Other values (309) 2565
27.3%
None
ValueCountFrequency (%)
7
100.0%
Distinct661
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-12T19:48:46.310853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length69
Mean length22.552007
Min length17

Characters and Unicode

Total characters24717
Distinct characters92
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

Unique471 ?
Unique (%)43.0%

Sample

1st row강원도 인제군 북면 대터길 22
2nd row강원도 인제군 북면 원통로 285 (원통고 건물상부)
3rd row강원도 인제군 기린면 창암길 20 (기린중 건물상부)
4th row강원도 인제군 인제읍 가리산리 215-5
5th row강원도 인제군 인제읍 원대리 355-1, 355-3
ValueCountFrequency (%)
강원도 1096
19.7%
인제군 1096
19.7%
인제읍 364
 
6.6%
남면 244
 
4.4%
기린면 190
 
3.4%
가아리 149
 
2.7%
북면 146
 
2.6%
북리 145
 
2.6%
서화면 140
 
2.5%
월학리 70
 
1.3%
Other values (726) 1912
34.4%
2023-12-12T19:48:47.186853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4458
18.0%
1460
 
5.9%
1460
 
5.9%
1137
 
4.6%
1128
 
4.6%
1127
 
4.6%
1103
 
4.5%
1096
 
4.4%
1 1083
 
4.4%
- 865
 
3.5%
Other values (82) 9800
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12907
52.2%
Decimal Number 5932
24.0%
Space Separator 4458
 
18.0%
Dash Punctuation 865
 
3.5%
Other Punctuation 549
 
2.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1460
11.3%
1460
11.3%
1137
 
8.8%
1128
 
8.7%
1127
 
8.7%
1103
 
8.5%
1096
 
8.5%
733
 
5.7%
364
 
2.8%
308
 
2.4%
Other values (65) 2991
23.2%
Decimal Number
ValueCountFrequency (%)
1 1083
18.3%
2 702
11.8%
3 598
10.1%
9 572
9.6%
7 560
9.4%
4 543
9.2%
8 516
8.7%
5 514
8.7%
6 469
7.9%
0 375
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 540
98.4%
/ 6
 
1.1%
. 3
 
0.5%
Space Separator
ValueCountFrequency (%)
4458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 865
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12907
52.2%
Common 11810
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1460
11.3%
1460
11.3%
1137
 
8.8%
1128
 
8.7%
1127
 
8.7%
1103
 
8.5%
1096
 
8.5%
733
 
5.7%
364
 
2.8%
308
 
2.4%
Other values (65) 2991
23.2%
Common
ValueCountFrequency (%)
4458
37.7%
1 1083
 
9.2%
- 865
 
7.3%
2 702
 
5.9%
3 598
 
5.1%
9 572
 
4.8%
7 560
 
4.7%
4 543
 
4.6%
, 540
 
4.6%
8 516
 
4.4%
Other values (7) 1373
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12907
52.2%
ASCII 11810
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4458
37.7%
1 1083
 
9.2%
- 865
 
7.3%
2 702
 
5.9%
3 598
 
5.1%
9 572
 
4.8%
7 560
 
4.7%
4 543
 
4.6%
, 540
 
4.6%
8 516
 
4.4%
Other values (7) 1373
 
11.6%
Hangul
ValueCountFrequency (%)
1460
11.3%
1460
11.3%
1137
 
8.8%
1128
 
8.7%
1127
 
8.7%
1103
 
8.5%
1096
 
8.5%
733
 
5.7%
364
 
2.8%
308
 
2.4%
Other values (65) 2991
23.2%

설비용량
Real number (ℝ)

Distinct157
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.72785
Minimum11
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2023-12-12T19:48:47.431086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile74.75
Q199
median99
Q399.84
95-th percentile404
Maximum1000
Range989
Interquartile range (IQR)0.84

Descriptive statistics

Standard deviation143.31227
Coefficient of variation (CV)1.0481571
Kurtosis20.285861
Mean136.72785
Median Absolute Deviation (MAD)0.75
Skewness4.3016965
Sum149853.73
Variance20538.407
MonotonicityNot monotonic
2023-12-12T19:48:47.591974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 373
34.0%
100.0 70
 
6.4%
98.0 69
 
6.3%
99.9 60
 
5.5%
99.84 49
 
4.5%
99.36 38
 
3.5%
98.55 25
 
2.3%
99.75 18
 
1.6%
97.0 16
 
1.5%
500.0 15
 
1.4%
Other values (147) 363
33.1%
ValueCountFrequency (%)
11.0 1
 
0.1%
15.0 2
 
0.2%
19.0 3
0.3%
19.68 1
 
0.1%
20.0 2
 
0.2%
24.0 1
 
0.1%
25.0 1
 
0.1%
26.0 1
 
0.1%
28.0 2
 
0.2%
28.7 7
0.6%
ValueCountFrequency (%)
1000.0 3
0.3%
999.0 5
0.5%
998.73 1
 
0.1%
998.0 3
0.3%
996.3 1
 
0.1%
994.0 1
 
0.1%
992.0 1
 
0.1%
990.0 1
 
0.1%
986.0 1
 
0.1%
799.0 1
 
0.1%

공급전압
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
380
1065 
22900
 
27
220
 
2
308
 
2

Length

Max length5
Median length3
Mean length3.0492701
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row380
2nd row380
3rd row380
4th row380
5th row380

Common Values

ValueCountFrequency (%)
380 1065
97.2%
22900 27
 
2.5%
220 2
 
0.2%
308 2
 
0.2%

Length

2023-12-12T19:48:47.766195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:47.921956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 1065
97.2%
22900 27
 
2.5%
220 2
 
0.2%
308 2
 
0.2%

설치구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
토지
997 
건물
 
94
토지,건물
 
2
건물위
 
2
건물,대지
 
1

Length

Max length5
Median length2
Mean length2.0100365
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row건물
2nd row건물
3rd row건물
4th row토지
5th row토지

Common Values

ValueCountFrequency (%)
토지 997
91.0%
건물 94
 
8.6%
토지,건물 2
 
0.2%
건물위 2
 
0.2%
건물,대지 1
 
0.1%

Length

2023-12-12T19:48:48.072643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:48:48.238701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 997
91.0%
건물 94
 
8.6%
토지,건물 2
 
0.2%
건물위 2
 
0.2%
건물,대지 1
 
0.1%

지목
Categorical

IMBALANCE 

Distinct41
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
679 
임야
149 
113 
전,임야
 
36
대지
 
22
Other values (36)
97 

Length

Max length13
Median length1
Mean length1.5145985
Min length1

Unique

Unique18 ?
Unique (%)1.6%

Sample

1st row대지
2nd row대지
3rd row대지
4th row
5th row임야

Common Values

ValueCountFrequency (%)
679
62.0%
임야 149
 
13.6%
113
 
10.3%
전,임야 36
 
3.3%
대지 22
 
2.0%
전,답 12
 
1.1%
전,대 11
 
1.0%
목장용지 9
 
0.8%
창고용지 9
 
0.8%
잡종지 7
 
0.6%
Other values (31) 49
 
4.5%

Length

2023-12-12T19:48:48.418988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
682
61.9%
임야 149
 
13.5%
115
 
10.4%
전,임야 36
 
3.3%
대지 24
 
2.2%
전,답 12
 
1.1%
목장용지 12
 
1.1%
전,대 11
 
1.0%
창고용지 9
 
0.8%
잡종지 7
 
0.6%
Other values (26) 44
 
4.0%
Distinct233
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2015-11-25 00:00:00
Maximum2022-06-16 00:00:00
2023-12-12T19:48:48.634071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:48.856225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct165
Distinct (%)42.7%
Missing710
Missing (%)64.8%
Memory size8.7 KiB
Minimum2016-02-02 00:00:00
Maximum2022-08-09 00:00:00
2023-12-12T19:48:49.084138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:49.313780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2022-09-20 00:00:00
Maximum2022-09-20 00:00:00
2023-12-12T19:48:49.473849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:49.618071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:48:43.815685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:43.502487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:43.967315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:48:43.653088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:48:49.728822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량공급전압설치구분지목
연번1.0000.2450.1270.3430.525
설비용량0.2451.0000.6530.1810.687
공급전압0.1270.6531.0000.0750.595
설치구분0.3430.1810.0751.0000.750
지목0.5250.6870.5950.7501.000
2023-12-12T19:48:49.889058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치구분공급전압지목
설치구분1.0000.0610.454
공급전압0.0611.0000.338
지목0.4540.3381.000
2023-12-12T19:48:50.020501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량공급전압설치구분지목
연번1.0000.0270.0760.1490.205
설비용량0.0271.0000.4820.1050.323
공급전압0.0760.4821.0000.0610.338
설치구분0.1490.1050.0611.0000.454
지목0.2050.3230.3380.4541.000

Missing values

2023-12-12T19:48:44.173259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:48:44.386785image/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

연번발전소명설치장소설비용량공급전압설치구분지목허가일자사업개시신고일자데이터기준일자
01대터2 태양광발전소강원도 인제군 북면 대터길 2275.0380건물대지2015-11-252016-02-022022-09-20
12인제 원통고 태양광발전소강원도 인제군 북면 원통로 285 (원통고 건물상부)100.0380건물대지2015-11-252017-03-222022-09-20
23인제 기린중 태양광발전소강원도 인제군 기린면 창암길 20 (기린중 건물상부)88.0380건물대지2015-11-252017-03-222022-09-20
34가리산리 태양광발전소강원도 인제군 인제읍 가리산리 215-559.0380토지2015-12-072017-07-032022-09-20
45강희태 태양광발전소강원도 인제군 인제읍 원대리 355-1, 355-399.0380토지임야2015-12-31<NA>2022-09-20
56안나영 태양광발전소강원도 인제군 인제읍 원대리 355-1, 355-399.0380토지임야2015-12-31<NA>2022-09-20
67손석민 태양광발전소강원도 인제군 인제읍 원대리 355-1, 355-399.0380토지임야2015-12-31<NA>2022-09-20
78종선 태양광발전소강원도 인제군 인제읍 덕산리 814-250.0380토지2015-12-312016-06-282022-09-20
89솔라백 태양광발전소강원도 인제군 서화면 천도리 산 141-5199.0380토지임야2015-12-312019-05-202022-09-20
910솔라맥스 태양광발전소강원도 인제군 서화면 천도리 산 141-5099.0380토지임야2015-12-312019-05-202022-09-20
연번발전소명설치장소설비용량공급전압설치구분지목허가일자사업개시신고일자데이터기준일자
10861087바람도리 태양광발전소강원도 인제군 북면 용대리 7619.68380건물2022-05-23<NA>2022-09-20
10871088영복 태양광발전소강원도 인제군 기리면 현리 566-699.84380토지2022-05-20<NA>2022-09-20
10881089영환 태양광발전소강원도 인제군 기린면 현리 566-11,566-9,566-699.84380토지2022-05-20<NA>2022-09-20
10891090명랑 태양광발전소강원도 인제군 기리면 현리 567-199.84380건물창고용지2022-05-20<NA>2022-09-20
10901091새덕1호 태양광발전소강원도 인제군 인제읍 가아리 481-499.36380토지2022-06-02<NA>2022-09-20
10911092새덕2호 태양광발전소강원도 인제군 인제읍 가아리 481-499.36380토지2022-06-02<NA>2022-09-20
10921093새덕3호 태양광발전소강원도 인제군 인제읍 가아리 481-499.36380토지2022-06-02<NA>2022-09-20
10931094새덕4호 태양광발전소강원도 인제군 인제읍 가아리 481-499.36380토지2022-06-02<NA>2022-09-20
10941095광영2호 태양광발전소강원도 인제군 남면 어론리 79699.36380토지2022-06-16<NA>2022-09-20
10951096행복 태양광발전소강원도 인제군 남면 어론리 628-6, 628-1399.84380토지2022-06-16<NA>2022-09-20