Overview

Dataset statistics

Number of variables9
Number of observations1778
Missing cells672
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory132.1 KiB
Average record size in memory76.1 B

Variable types

Numeric3
Text2
Categorical1
DateTime3

Dataset

Description충청남도 금산군 태양광 발전소 설치현황(발전소명, 설비용량, 주소, 최초허가일, 사업개시일) 관련하여 자료를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=385&beforeMenuCd=DOM_000000201001001000&publicdatapk=15033866

Alerts

데이터 기준일 has constant value ""Constant
주파수 is highly imbalanced (99.1%)Imbalance
사업개시일 has 672 (37.8%) missing valuesMissing
공급전압 is highly skewed (γ1 = 22.83855914)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:11:40.839876
Analysis finished2024-01-09 21:11:42.424366
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1778
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean889.5
Minimum1
Maximum1778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-01-10T06:11:42.496468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile89.85
Q1445.25
median889.5
Q31333.75
95-th percentile1689.15
Maximum1778
Range1777
Interquartile range (IQR)888.5

Descriptive statistics

Standard deviation513.40871
Coefficient of variation (CV)0.57718798
Kurtosis-1.2
Mean889.5
Median Absolute Deviation (MAD)444.5
Skewness0
Sum1581531
Variance263588.5
MonotonicityStrictly increasing
2024-01-10T06:11:42.631437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1183 1
 
0.1%
1194 1
 
0.1%
1193 1
 
0.1%
1192 1
 
0.1%
1191 1
 
0.1%
1190 1
 
0.1%
1189 1
 
0.1%
1188 1
 
0.1%
1187 1
 
0.1%
Other values (1768) 1768
99.4%
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 (%)
1778 1
0.1%
1777 1
0.1%
1776 1
0.1%
1775 1
0.1%
1774 1
0.1%
1773 1
0.1%
1772 1
0.1%
1771 1
0.1%
1770 1
0.1%
1769 1
0.1%

상호
Text

Distinct1689
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-01-10T06:11:42.826014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.976378
Min length2

Characters and Unicode

Total characters19516
Distinct characters399
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1614 ?
Unique (%)90.8%

Sample

1st row태성파워태양광발전소
2nd row협동 태양광발전소
3rd row장동태양광발전소
4th row엔아이씨(NIC)제원 태양광발전소
5th row산안7호 태양광발전소
ValueCountFrequency (%)
태양광발전소 1465
42.0%
하금 33
 
0.9%
외부리 23
 
0.7%
2호 17
 
0.5%
1호 17
 
0.5%
발전소 13
 
0.4%
3호 13
 
0.4%
진산 12
 
0.3%
태양광 12
 
0.3%
길곡리태양광발전소 11
 
0.3%
Other values (1650) 1874
53.7%
2024-01-10T06:11:43.118562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 1778
 
9.1%
태 1771
 
9.1%
광 1759
 
9.0%
소 1754
 
9.0%
전 1752
 
9.0%
발 1732
 
8.9%
1714
 
8.8%
호 811
 
4.2%
1 400
 
2.0%
2 312
 
1.6%
Other values (389) 5733
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16154
82.8%
Space Separator 1714
 
8.8%
Decimal Number 1343
 
6.9%
Uppercase Letter 139
 
0.7%
Dash Punctuation 85
 
0.4%
Close Punctuation 32
 
0.2%
Open Punctuation 32
 
0.2%
Other Symbol 10
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 1778
11.0%
태 1771
11.0%
광 1759
10.9%
소 1754
10.9%
전 1752
10.8%
발 1732
10.7%
호 811
 
5.0%
리 260
 
1.6%
금 224
 
1.4%
산 183
 
1.1%
Other values (345) 4130
25.6%
Uppercase Letter
ValueCountFrequency (%)
S 41
29.5%
B 13
 
9.4%
J 13
 
9.4%
N 10
 
7.2%
E 9
 
6.5%
C 9
 
6.5%
K 8
 
5.8%
U 5
 
3.6%
G 5
 
3.6%
M 3
 
2.2%
Other values (10) 23
16.5%
Decimal Number
ValueCountFrequency (%)
1 400
29.8%
2 312
23.2%
3 172
12.8%
4 102
 
7.6%
5 95
 
7.1%
0 67
 
5.0%
6 63
 
4.7%
7 49
 
3.6%
8 44
 
3.3%
9 39
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
h 1
25.0%
o 1
25.0%
l 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
, 1
33.3%
# 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 27
84.4%
] 5
 
15.6%
Open Punctuation
ValueCountFrequency (%)
( 27
84.4%
[ 5
 
15.6%
Space Separator
ValueCountFrequency (%)
1714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16164
82.8%
Common 3209
 
16.4%
Latin 143
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 1778
11.0%
태 1771
11.0%
광 1759
10.9%
소 1754
10.9%
전 1752
10.8%
발 1732
10.7%
호 811
 
5.0%
리 260
 
1.6%
금 224
 
1.4%
산 183
 
1.1%
Other values (346) 4140
25.6%
Latin
ValueCountFrequency (%)
S 41
28.7%
B 13
 
9.1%
J 13
 
9.1%
N 10
 
7.0%
E 9
 
6.3%
C 9
 
6.3%
K 8
 
5.6%
U 5
 
3.5%
G 5
 
3.5%
M 3
 
2.1%
Other values (14) 27
18.9%
Common
ValueCountFrequency (%)
1714
53.4%
1 400
 
12.5%
2 312
 
9.7%
3 172
 
5.4%
4 102
 
3.2%
5 95
 
3.0%
- 85
 
2.6%
0 67
 
2.1%
6 63
 
2.0%
7 49
 
1.5%
Other values (9) 150
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16154
82.8%
ASCII 3352
 
17.2%
None 10
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 1778
11.0%
태 1771
11.0%
광 1759
10.9%
소 1754
10.9%
전 1752
10.8%
발 1732
10.7%
호 811
 
5.0%
리 260
 
1.6%
금 224
 
1.4%
산 183
 
1.1%
Other values (345) 4130
25.6%
ASCII
ValueCountFrequency (%)
1714
51.1%
1 400
 
11.9%
2 312
 
9.3%
3 172
 
5.1%
4 102
 
3.0%
5 95
 
2.8%
- 85
 
2.5%
0 67
 
2.0%
6 63
 
1.9%
7 49
 
1.5%
Other values (33) 293
 
8.7%
None
ValueCountFrequency (%)
㈜ 10
100.0%

설치장소소재지
Text

Distinct1095
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-01-10T06:11:43.455915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length54
Mean length25.228909
Min length19

Characters and Unicode

Total characters44857
Distinct characters186
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)47.3%

Sample

1st row충청남도 금산군 부리면 예미리 577번지
2nd row충청남도 금산군 금산읍 무금로 2296
3rd row충청남도 금산군 금산읍 장동길 62
4th row충청남도 금산군 제원면 낙안길 68
5th row충청남도 금산군 군북면 산안리 660번지 50호
ValueCountFrequency (%)
충청남도 1778
 
16.9%
금산군 1778
 
16.9%
산 344
 
3.3%
부리면 293
 
2.8%
금성면 254
 
2.4%
제원면 232
 
2.2%
1호 207
 
2.0%
진산면 199
 
1.9%
남이면 193
 
1.8%
166
 
1.6%
Other values (1307) 5099
48.4%
2024-01-10T06:11:43.945637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8765
19.5%
산 2523
 
5.6%
금 2245
 
5.0%
남 2103
 
4.7%
리 1976
 
4.4%
군 1925
 
4.3%
도 1893
 
4.2%
청 1779
 
4.0%
충 1778
 
4.0%
면 1675
 
3.7%
Other values (176) 18195
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26098
58.2%
Space Separator 8765
 
19.5%
Decimal Number 8330
 
18.6%
Dash Punctuation 1021
 
2.3%
Other Punctuation 587
 
1.3%
Close Punctuation 26
 
0.1%
Open Punctuation 26
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2523
 
9.7%
금 2245
 
8.6%
남 2103
 
8.1%
리 1976
 
7.6%
군 1925
 
7.4%
도 1893
 
7.3%
청 1779
 
6.8%
충 1778
 
6.8%
면 1675
 
6.4%
지 1001
 
3.8%
Other values (159) 7200
27.6%
Decimal Number
ValueCountFrequency (%)
1 1552
18.6%
2 1117
13.4%
3 959
11.5%
4 894
10.7%
7 816
9.8%
6 736
8.8%
5 705
8.5%
8 603
 
7.2%
9 530
 
6.4%
0 418
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 586
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1021
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26102
58.2%
Common 18755
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2523
 
9.7%
금 2245
 
8.6%
남 2103
 
8.1%
리 1976
 
7.6%
군 1925
 
7.4%
도 1893
 
7.3%
청 1779
 
6.8%
충 1778
 
6.8%
면 1675
 
6.4%
지 1001
 
3.8%
Other values (160) 7204
27.6%
Common
ValueCountFrequency (%)
8765
46.7%
1 1552
 
8.3%
2 1117
 
6.0%
- 1021
 
5.4%
3 959
 
5.1%
4 894
 
4.8%
7 816
 
4.4%
6 736
 
3.9%
5 705
 
3.8%
8 603
 
3.2%
Other values (6) 1587
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26097
58.2%
ASCII 18755
41.8%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8765
46.7%
1 1552
 
8.3%
2 1117
 
6.0%
- 1021
 
5.4%
3 959
 
5.1%
4 894
 
4.8%
7 816
 
4.4%
6 736
 
3.9%
5 705
 
3.8%
8 603
 
3.2%
Other values (6) 1587
 
8.5%
Hangul
ValueCountFrequency (%)
산 2523
 
9.7%
금 2245
 
8.6%
남 2103
 
8.1%
리 1976
 
7.6%
군 1925
 
7.4%
도 1893
 
7.3%
청 1779
 
6.8%
충 1778
 
6.8%
면 1675
 
6.4%
지 1001
 
3.8%
Other values (158) 7199
27.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

설비용량
Real number (ℝ)

Distinct395
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.27657
Minimum9
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-01-10T06:11:44.076375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile29.64
Q197.92
median99.06
Q399.75
95-th percentile498
Maximum1000
Range991
Interquartile range (IQR)1.83

Descriptive statistics

Standard deviation187.53909
Coefficient of variation (CV)1.2733803
Kurtosis12.70123
Mean147.27657
Median Absolute Deviation (MAD)0.84
Skewness3.6125326
Sum261857.74
Variance35170.909
MonotonicityNot monotonic
2024-01-10T06:11:44.444334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 156
 
8.8%
97.92 121
 
6.8%
98.28 110
 
6.2%
99.2 80
 
4.5%
99.4 74
 
4.2%
97.2 67
 
3.8%
99.75 64
 
3.6%
99.9 49
 
2.8%
99.96 44
 
2.5%
99.23 35
 
2.0%
Other values (385) 978
55.0%
ValueCountFrequency (%)
9.0 1
0.1%
9.92 1
0.1%
10.0 1
0.1%
10.07 1
0.1%
11.04 1
0.1%
12.29 1
0.1%
14.63 1
0.1%
14.74 1
0.1%
14.8 1
0.1%
14.85 1
0.1%
ValueCountFrequency (%)
1000.0 1
 
0.1%
999.6 3
 
0.2%
999.46 1
 
0.1%
999.37 2
 
0.1%
999.28 2
 
0.1%
999.0 1
 
0.1%
998.76 3
 
0.2%
998.64 1
 
0.1%
998.4 3
 
0.2%
997.92 21
1.2%

공급전압
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean945.58999
Minimum220
Maximum229000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-01-10T06:11:44.538811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile380
Q1380
median380
Q3380
95-th percentile380
Maximum229000
Range228780
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9587.8994
Coefficient of variation (CV)10.139595
Kurtosis539.41318
Mean945.58999
Median Absolute Deviation (MAD)0
Skewness22.838559
Sum1681259
Variance91927814
MonotonicityNot monotonic
2024-01-10T06:11:44.632426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
380 1740
97.9%
220 15
 
0.8%
22900 14
 
0.8%
229000 3
 
0.2%
360 2
 
0.1%
3810 1
 
0.1%
382 1
 
0.1%
3680 1
 
0.1%
567 1
 
0.1%
ValueCountFrequency (%)
220 15
 
0.8%
360 2
 
0.1%
380 1740
97.9%
382 1
 
0.1%
567 1
 
0.1%
3680 1
 
0.1%
3810 1
 
0.1%
22900 14
 
0.8%
229000 3
 
0.2%
ValueCountFrequency (%)
229000 3
 
0.2%
22900 14
 
0.8%
3810 1
 
0.1%
3680 1
 
0.1%
567 1
 
0.1%
382 1
 
0.1%
380 1740
97.9%
360 2
 
0.1%
220 15
 
0.8%

주파수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
60
1776 
90
 
1
270
 
1

Length

Max length3
Median length2
Mean length2.0005624
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 1776
99.9%
90 1
 
0.1%
270 1
 
0.1%

Length

2024-01-10T06:11:44.762363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:11:44.878341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1776
99.9%
90 1
 
0.1%
270 1
 
0.1%

허가일
Date

Distinct431
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2015-08-11 00:00:00
Maximum2022-09-22 00:00:00
2024-01-10T06:11:44.986383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:45.115508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct369
Distinct (%)33.4%
Missing672
Missing (%)37.8%
Memory size14.0 KiB
Minimum2010-01-06 00:00:00
Maximum2022-09-21 00:00:00
2024-01-10T06:11:45.248672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:45.382017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2022-10-04 00:00:00
Maximum2022-10-04 00:00:00
2024-01-10T06:11:45.490732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:45.577424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:11:41.869363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.300009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.586235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.970371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.403158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.694519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:42.079379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.496829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:41.780122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:11:45.649737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량공급전압주파수
순번1.0000.5630.1330.006
설비용량0.5631.0000.2950.091
공급전압0.1330.2951.0000.000
주파수0.0060.0910.0001.000
2024-01-10T06:11:45.753195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량공급전압주파수
순번1.0000.0700.0930.003
설비용량0.0701.0000.1390.054
공급전압0.0930.1391.0000.000
주파수0.0030.0540.0001.000

Missing values

2024-01-10T06:11:42.206579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:11:42.372095image/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

순번상호설치장소소재지설비용량공급전압주파수허가일사업개시일데이터 기준일
01태성파워태양광발전소충청남도 금산군 부리면 예미리 577번지10.0220602015-08-112015-07-292022-10-04
12협동 태양광발전소충청남도 금산군 금산읍 무금로 229620.0380602015-08-112015-07-282022-10-04
23장동태양광발전소충청남도 금산군 금산읍 장동길 6219.5220602015-08-122015-09-072022-10-04
34엔아이씨(NIC)제원 태양광발전소충청남도 금산군 제원면 낙안길 6819.0380602015-08-122015-07-302022-10-04
45산안7호 태양광발전소충청남도 금산군 군북면 산안리 660번지 50호99.0380602015-08-13<NA>2022-10-04
56산안6호 태양광발전소충청남도 금산군 군북면 산안리 660번지 46호99.0380602015-08-13<NA>2022-10-04
67중도리태양광발전소충청남도 금산군 금산읍 비범로 5212.29220602015-08-132017-02-102022-10-04
78임선미태양광발전소충청남도 금산군 진산면 묵산리 41번지 3호99.2380602015-08-132016-10-312022-10-04
89강선현태양광발전소충청남도 금산군 진산면 묵산리 41번지 3호99.2380602015-08-132016-10-312022-10-04
910산안5호 태양광발전소충청남도 금산군 군북면 산안리 660번지 49호99.0380602015-08-13<NA>2022-10-04
순번상호설치장소소재지설비용량공급전압주파수허가일사업개시일데이터 기준일
17681769하율 태양광발전소충청남도 금산군 금산읍 신대리 776-2 , 777, 777-299.9380602022-09-22<NA>2022-10-04
17691770엠에스이3호 태양광발전소충청남도 금산군 금산읍 신대리 776-1 , 776-2, 77799.9380602022-09-22<NA>2022-10-04
17701771별하 태양광발전소충청남도 금산군 금산읍 신대리 773-6 , 774, 775, 776-1, 776-299.9380602022-09-22<NA>2022-10-04
17711772충만3 태양광발전소충청남도 금산군 금산읍 신대리 773-6 , 774, 77599.9380602022-09-22<NA>2022-10-04
17721773영광2 태양광발전소충청남도 금산군 금산읍 신대리 773-5 , 773-6, 774, 77599.9380602022-09-22<NA>2022-10-04
17731774하늘1 태양광발전소충청남도 금산군 금산읍 신대리 773-5 , 773-6, 774, 77599.9380602022-09-22<NA>2022-10-04
17741775에스와이 태양광발전소충청남도 금산군 금산읍 신대리 773-5 , 773-6, 774, 77599.9380602022-09-22<NA>2022-10-04
17751776양지 태양에너지 태양광발전소충청남도 금산군 금산읍 신대리 773-2 , 773-5, 773-6, 77499.9380602022-09-22<NA>2022-10-04
17761777눈부신태양에너지 태양광발전소충청남도 금산군 금산읍 신대리 773-2 외 299.9380602022-09-22<NA>2022-10-04
17771778김현진 태양광발전소충청남도 금산군 금산읍 신대리 773-2 외 152.92380602022-09-22<NA>2022-10-04