Overview

Dataset statistics

Number of variables9
Number of observations1671
Missing cells368
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory124.1 KiB
Average record size in memory76.1 B

Variable types

Numeric3
Text2
Categorical2
DateTime2

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
주파수Hz is highly imbalanced (99.3%)Imbalance
사업개시일 has 368 (22.0%) missing valuesMissing
공급전압V is highly skewed (γ1 = 21.40158051)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:11:55.866595
Analysis finished2024-01-09 21:11:57.311383
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1671
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean836
Minimum1
Maximum1671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-01-10T06:11:57.378517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile84.5
Q1418.5
median836
Q31253.5
95-th percentile1587.5
Maximum1671
Range1670
Interquartile range (IQR)835

Descriptive statistics

Standard deviation482.52047
Coefficient of variation (CV)0.57717759
Kurtosis-1.2
Mean836
Median Absolute Deviation (MAD)418
Skewness0
Sum1396956
Variance232826
MonotonicityStrictly increasing
2024-01-10T06:11:57.536929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1150 1
 
0.1%
1122 1
 
0.1%
1121 1
 
0.1%
1120 1
 
0.1%
1119 1
 
0.1%
1118 1
 
0.1%
1117 1
 
0.1%
1116 1
 
0.1%
1115 1
 
0.1%
Other values (1661) 1661
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 (%)
1671 1
0.1%
1670 1
0.1%
1669 1
0.1%
1668 1
0.1%
1667 1
0.1%
1666 1
0.1%
1665 1
0.1%
1664 1
0.1%
1663 1
0.1%
1662 1
0.1%

상호
Text

Distinct1574
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-01-10T06:11:57.921260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length11.00778
Min length2

Characters and Unicode

Total characters18394
Distinct characters391
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

Unique1490 ?
Unique (%)89.2%

Sample

1st row(주)금성 태양광발전소
2nd row영솔라 태양광발전소
3rd row영솔라 태양광발전소
4th row두리 태양광발전소
5th row(주)서울전업공사 태양광발전소
ValueCountFrequency (%)
태양광발전소 1471
44.2%
하금 23
 
0.7%
외부리 23
 
0.7%
1호 20
 
0.6%
2호 19
 
0.6%
발전소 12
 
0.4%
3호 12
 
0.4%
태양광 11
 
0.3%
선원리태양광발전소 7
 
0.2%
동곡 6
 
0.2%
Other values (1550) 1727
51.8%
2024-01-10T06:11:58.379417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1689
 
9.2%
1678
 
9.1%
1671
 
9.1%
1661
 
9.0%
1659
 
9.0%
1659
 
9.0%
1638
 
8.9%
804
 
4.4%
1 354
 
1.9%
2 309
 
1.7%
Other values (381) 5272
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15213
82.7%
Space Separator 1661
 
9.0%
Decimal Number 1231
 
6.7%
Uppercase Letter 125
 
0.7%
Dash Punctuation 81
 
0.4%
Close Punctuation 34
 
0.2%
Open Punctuation 34
 
0.2%
Other Symbol 7
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1689
11.1%
1678
11.0%
1671
11.0%
1659
10.9%
1659
10.9%
1638
10.8%
804
 
5.3%
212
 
1.4%
210
 
1.4%
147
 
1.0%
Other values (336) 3846
25.3%
Uppercase Letter
ValueCountFrequency (%)
S 32
25.6%
B 13
10.4%
J 12
 
9.6%
N 10
 
8.0%
C 9
 
7.2%
E 7
 
5.6%
K 7
 
5.6%
U 5
 
4.0%
H 4
 
3.2%
M 3
 
2.4%
Other values (10) 23
18.4%
Decimal Number
ValueCountFrequency (%)
1 354
28.8%
2 309
25.1%
3 158
12.8%
4 100
 
8.1%
5 93
 
7.6%
0 55
 
4.5%
6 52
 
4.2%
7 45
 
3.7%
8 34
 
2.8%
9 31
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
s 1
16.7%
j 1
16.7%
o 1
16.7%
l 1
16.7%
a 1
16.7%
h 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 30
88.2%
] 4
 
11.8%
Open Punctuation
ValueCountFrequency (%)
( 30
88.2%
[ 4
 
11.8%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
# 1
50.0%
Space Separator
ValueCountFrequency (%)
1661
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Other Symbol
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15220
82.7%
Common 3043
 
16.5%
Latin 131
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1689
11.1%
1678
11.0%
1671
11.0%
1659
10.9%
1659
10.9%
1638
10.8%
804
 
5.3%
212
 
1.4%
210
 
1.4%
147
 
1.0%
Other values (337) 3853
25.3%
Latin
ValueCountFrequency (%)
S 32
24.4%
B 13
9.9%
J 12
 
9.2%
N 10
 
7.6%
C 9
 
6.9%
E 7
 
5.3%
K 7
 
5.3%
U 5
 
3.8%
H 4
 
3.1%
M 3
 
2.3%
Other values (16) 29
22.1%
Common
ValueCountFrequency (%)
1661
54.6%
1 354
 
11.6%
2 309
 
10.2%
3 158
 
5.2%
4 100
 
3.3%
5 93
 
3.1%
- 81
 
2.7%
0 55
 
1.8%
6 52
 
1.7%
7 45
 
1.5%
Other values (8) 135
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15213
82.7%
ASCII 3174
 
17.3%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1689
11.1%
1678
11.0%
1671
11.0%
1659
10.9%
1659
10.9%
1638
10.8%
804
 
5.3%
212
 
1.4%
210
 
1.4%
147
 
1.0%
Other values (336) 3846
25.3%
ASCII
ValueCountFrequency (%)
1661
52.3%
1 354
 
11.2%
2 309
 
9.7%
3 158
 
5.0%
4 100
 
3.2%
5 93
 
2.9%
- 81
 
2.6%
0 55
 
1.7%
6 52
 
1.6%
7 45
 
1.4%
Other values (34) 266
 
8.4%
None
ValueCountFrequency (%)
7
100.0%
Distinct1129
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2024-01-10T06:11:58.669999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length54
Mean length25.090963
Min length19

Characters and Unicode

Total characters41927
Distinct characters215
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique889 ?
Unique (%)53.2%

Sample

1st row충청남도 금산군 금성면 상가리 67-1
2nd row충청남도 금산군 부리면 창평리 280-3
3rd row충청남도 금산군 부리면 나천동1길 71-5
4th row충청남도 금산군 부리면 창평리 280-1
5th row충청남도 금산군 추부면 신평공단1로 100
ValueCountFrequency (%)
충청남도 1671
 
17.1%
금산군 1671
 
17.1%
부리면 304
 
3.1%
금성면 275
 
2.8%
226
 
2.3%
남이면 186
 
1.9%
제원면 181
 
1.9%
173
 
1.8%
군북면 157
 
1.6%
복수면 148
 
1.5%
Other values (1393) 4786
48.9%
2024-01-10T06:11:59.104940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8107
19.3%
2162
 
5.2%
2153
 
5.1%
1959
 
4.7%
1836
 
4.4%
1817
 
4.3%
1792
 
4.3%
1672
 
4.0%
1671
 
4.0%
1562
 
3.7%
Other values (205) 17196
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23821
56.8%
Decimal Number 8176
 
19.5%
Space Separator 8107
 
19.3%
Dash Punctuation 1123
 
2.7%
Other Punctuation 638
 
1.5%
Open Punctuation 29
 
0.1%
Close Punctuation 29
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2162
 
9.1%
2153
 
9.0%
1959
 
8.2%
1836
 
7.7%
1817
 
7.6%
1792
 
7.5%
1672
 
7.0%
1671
 
7.0%
1562
 
6.6%
674
 
2.8%
Other values (189) 6523
27.4%
Decimal Number
ValueCountFrequency (%)
1 1524
18.6%
2 1128
13.8%
3 904
11.1%
7 845
10.3%
4 829
10.1%
6 754
9.2%
5 621
7.6%
8 589
 
7.2%
9 526
 
6.4%
0 456
 
5.6%
Space Separator
ValueCountFrequency (%)
8107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1123
100.0%
Other Punctuation
ValueCountFrequency (%)
, 638
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23825
56.8%
Common 18102
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2162
 
9.1%
2153
 
9.0%
1959
 
8.2%
1836
 
7.7%
1817
 
7.6%
1792
 
7.5%
1672
 
7.0%
1671
 
7.0%
1562
 
6.6%
674
 
2.8%
Other values (190) 6527
27.4%
Common
ValueCountFrequency (%)
8107
44.8%
1 1524
 
8.4%
2 1128
 
6.2%
- 1123
 
6.2%
3 904
 
5.0%
7 845
 
4.7%
4 829
 
4.6%
6 754
 
4.2%
, 638
 
3.5%
5 621
 
3.4%
Other values (5) 1629
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23821
56.8%
ASCII 18102
43.2%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8107
44.8%
1 1524
 
8.4%
2 1128
 
6.2%
- 1123
 
6.2%
3 904
 
5.0%
7 845
 
4.7%
4 829
 
4.6%
6 754
 
4.2%
, 638
 
3.5%
5 621
 
3.4%
Other values (5) 1629
 
9.0%
Hangul
ValueCountFrequency (%)
2162
 
9.1%
2153
 
9.0%
1959
 
8.2%
1836
 
7.7%
1817
 
7.6%
1792
 
7.5%
1672
 
7.0%
1671
 
7.0%
1562
 
6.6%
674
 
2.8%
Other values (189) 6523
27.4%
None
ValueCountFrequency (%)
4
100.0%

설비용량KW
Real number (ℝ)

Distinct407
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.17744
Minimum9
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-01-10T06:11:59.233752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile29.4
Q197.2
median99.19
Q399.76
95-th percentile494
Maximum1000
Range991
Interquartile range (IQR)2.56

Descriptive statistics

Standard deviation168.39845
Coefficient of variation (CV)1.2366104
Kurtosis16.365297
Mean136.17744
Median Absolute Deviation (MAD)0.91
Skewness4.0153526
Sum227552.51
Variance28358.036
MonotonicityNot monotonic
2024-01-10T06:11:59.364501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 113
 
6.8%
99.96 113
 
6.8%
98.28 104
 
6.2%
97.92 79
 
4.7%
99.4 64
 
3.8%
97.2 62
 
3.7%
99.9 55
 
3.3%
99.75 46
 
2.8%
99.2 44
 
2.6%
99.51 33
 
2.0%
Other values (397) 958
57.3%
ValueCountFrequency (%)
9.0 1
0.1%
9.92 1
0.1%
10.0 1
0.1%
11.04 1
0.1%
11.55 1
0.1%
12.29 1
0.1%
14.63 1
0.1%
14.74 1
0.1%
14.85 1
0.1%
14.88 1
0.1%
ValueCountFrequency (%)
1000.0 1
 
0.1%
999.92 3
 
0.2%
999.46 1
 
0.1%
999.28 2
 
0.1%
999.0 2
 
0.1%
998.76 3
 
0.2%
998.4 3
 
0.2%
997.92 14
0.8%
996.98 2
 
0.1%
996.4 1
 
0.1%

공급전압V
Real number (ℝ)

SKEWED 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1089.6212
Minimum220
Maximum229000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2024-01-10T06:11:59.487932image/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 deviation10004.198
Coefficient of variation (CV)9.1813542
Kurtosis482.90866
Mean1089.6212
Median Absolute Deviation (MAD)0
Skewness21.401581
Sum1820757
Variance1.0008398 × 108
MonotonicityNot monotonic
2024-01-10T06:11:59.578186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
380 1626
97.3%
22900 22
 
1.3%
220 15
 
0.9%
229000 3
 
0.2%
360 2
 
0.1%
567 1
 
0.1%
3810 1
 
0.1%
3680 1
 
0.1%
ValueCountFrequency (%)
220 15
 
0.9%
360 2
 
0.1%
380 1626
97.3%
567 1
 
0.1%
3680 1
 
0.1%
3810 1
 
0.1%
22900 22
 
1.3%
229000 3
 
0.2%
ValueCountFrequency (%)
229000 3
 
0.2%
22900 22
 
1.3%
3810 1
 
0.1%
3680 1
 
0.1%
567 1
 
0.1%
380 1626
97.3%
360 2
 
0.1%
220 15
 
0.9%

주파수Hz
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
60
1670 
270
 
1

Length

Max length3
Median length2
Mean length2.0005984
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
60 1670
99.9%
270 1
 
0.1%

Length

2024-01-10T06:11:59.683995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:11:59.791565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1670
99.9%
270 1
 
0.1%
Distinct508
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
Minimum2007-02-02 00:00:00
Maximum2023-09-19 00:00:00
2024-01-10T06:11:59.902977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:00.045193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct426
Distinct (%)32.7%
Missing368
Missing (%)22.0%
Memory size13.2 KiB
Minimum2010-01-06 00:00:00
Maximum2023-09-13 00:00:00
2024-01-10T06:12:00.186768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:00.320321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-09-25
1671 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-25
2nd row2023-09-25
3rd row2023-09-25
4th row2023-09-25
5th row2023-09-25

Common Values

ValueCountFrequency (%)
2023-09-25 1671
100.0%

Length

2024-01-10T06:12:00.472799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:12:00.583009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-25 1671
100.0%

Interactions

2024-01-10T06:11:56.810779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.304985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.569411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.900365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.394140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.653234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.984455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.487096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:11:56.736606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:12:00.949290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량KW공급전압V주파수Hz
순번1.0000.2770.1360.000
설비용량KW0.2771.0000.3270.175
공급전압V0.1360.3271.0000.000
주파수Hz0.0000.1750.0001.000
2024-01-10T06:12:01.040079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량KW공급전압V주파수Hz
순번1.0000.0840.0320.000
설비용량KW0.0841.0000.1900.134
공급전압V0.0320.1901.0000.000
주파수Hz0.0000.1340.0001.000

Missing values

2024-01-10T06:11:57.111599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:11:57.259460image/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

순번상호설치장소소재지설비용량KW공급전압V주파수Hz허가일자사업개시일데이터 기준일
01(주)금성 태양광발전소충청남도 금산군 금성면 상가리 67-11000.0380602007-02-022010-01-062023-09-25
12영솔라 태양광발전소충청남도 금산군 부리면 창평리 280-399.2380602009-08-142010-06-112023-09-25
23영솔라 태양광발전소충청남도 금산군 부리면 나천동1길 71-599.2380602009-08-142010-06-112023-09-25
34두리 태양광발전소충청남도 금산군 부리면 창평리 280-199.2380602009-08-142010-06-112023-09-25
45(주)서울전업공사 태양광발전소충청남도 금산군 추부면 신평공단1로 10021.0380602009-12-282011-11-252023-09-25
56신정2호 태양광발전소충청남도 금산군 남일면 신정리 418-619.32380602010-03-162011-04-072023-09-25
67문은옥 태양광발전소충청남도 금산군 추부면 대학로 156-14(새터빌원룸)24.0380602012-03-262012-07-062023-09-25
78군북 태양광발전소충청남도 금산군 군북면 군북로 7319.0380602012-04-03<NA>2023-09-25
89(주)에버솔라 태양광발전소충청남도 금산군 추부면 신평공단1로 55247.5380602012-04-092013-11-182023-09-25
910대기 태양광발전소충청남도 금산군 금산읍 비범로 36, 학교종이땡땡땡79.65380602013-02-192013-09-172023-09-25
순번상호설치장소소재지설비용량KW공급전압V주파수Hz허가일자사업개시일데이터 기준일
16611662금산6호 태양광발전소충청남도 금산군 남이면 구석리 177 , 17899.96380602023-09-12<NA>2023-09-25
16621663금산5호 태양광발전소충청남도 금산군 남이면 구석리 176 , 177, 17899.96380602023-09-12<NA>2023-09-25
16631664금산4호 태양광발전소충청남도 금산군 남이면 구석리 176 , 177, 17899.96380602023-09-12<NA>2023-09-25
16641665금산3호 태양광발전소충청남도 금산군 남이면 구석리 176 , 177, 17899.96380602023-09-12<NA>2023-09-25
16651666금산2호 태양광발전소충청남도 금산군 남이면 구석리 175 , 176, 177, 17899.96380602023-09-12<NA>2023-09-25
16661667금산1호 태양광발전소충청남도 금산군 남이면 구석리 175 , 176, 17799.96380602023-09-12<NA>2023-09-25
16671668효심 태양광발전소충청남도 금산군 금산읍 아인리 443-199.63380602023-09-13<NA>2023-09-25
16681669상지1호 태양광발전소충청남도 금산군 금산읍 아인리 443-1 외 1필지99.63380602023-09-13<NA>2023-09-25
16691670트윈금산2호 태양광발전소충청남도 금산군 군북면 보광리 20299.6380602023-09-19<NA>2023-09-25
16701671트윈금산1호 태양광발전소충청남도 금산군 군북면 보광리 20299.6380602023-09-19<NA>2023-09-25