Overview

Dataset statistics

Number of variables9
Number of observations1823
Missing cells726
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory133.6 KiB
Average record size in memory75.1 B

Variable types

Numeric3
Categorical1
Text2
DateTime3

Dataset

Description전북특별자치도 진안군 태양광발전사업 현황에 대한 데이터입니다. 발전소명, 태양광사업 위치, 설치면적, 용량, 허가일자, 사업개시일 정보를 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15031878/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 허가자High correlation
용량(kW) is highly overall correlated with 설치면적(제곱미터)High correlation
설치면적(제곱미터) is highly overall correlated with 용량(kW)High correlation
허가자 is highly overall correlated with 연번High correlation
설치면적(제곱미터) has 24 (1.3%) missing valuesMissing
사업개시일 has 702 (38.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:05:15.195049
Analysis finished2024-03-14 19:05:19.338637
Duration4.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1823
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean912
Minimum1
Maximum1823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2024-03-15T04:05:19.575535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile92.1
Q1456.5
median912
Q31367.5
95-th percentile1731.9
Maximum1823
Range1822
Interquartile range (IQR)911

Descriptive statistics

Standard deviation526.39909
Coefficient of variation (CV)0.57719198
Kurtosis-1.2
Mean912
Median Absolute Deviation (MAD)456
Skewness0
Sum1662576
Variance277096
MonotonicityStrictly increasing
2024-03-15T04:05:19.874197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1226 1
 
0.1%
1224 1
 
0.1%
1223 1
 
0.1%
1222 1
 
0.1%
1221 1
 
0.1%
1220 1
 
0.1%
1219 1
 
0.1%
1218 1
 
0.1%
1217 1
 
0.1%
Other values (1813) 1813
99.5%
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 (%)
1823 1
0.1%
1822 1
0.1%
1821 1
0.1%
1820 1
0.1%
1819 1
0.1%
1818 1
0.1%
1817 1
0.1%
1816 1
0.1%
1815 1
0.1%
1814 1
0.1%

허가자
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
진안군
1538 
전북특별자치도
285 

Length

Max length7
Median length3
Mean length3.6253428
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진안군 1538
84.4%
전북특별자치도 285
 
15.6%

Length

2024-03-15T04:05:20.292962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:05:20.563065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진안군 1538
84.4%
전북특별자치도 285
 
15.6%

발전소명
Text

Distinct1712
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2024-03-15T04:05:21.293922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.3719144
Min length3

Characters and Unicode

Total characters17085
Distinct characters394
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

Unique1621 ?
Unique (%)88.9%

Sample

1st row김미경
2nd row용두골마을태양광
3rd row(유)일빛에너지일광2호기
4th row(유)일빛에너지일광3호기
5th row㈜해냄신재생에너지덕천태양광발전소
ValueCountFrequency (%)
em 5
 
0.3%
성수태양광발전소 4
 
0.2%
구룡태양광발전소 4
 
0.2%
하늘태양광발전소 3
 
0.2%
태양광 3
 
0.2%
발전소 3
 
0.2%
구룡2호발전소 3
 
0.2%
부귀태양광발전소 3
 
0.2%
황금태양광발전소 3
 
0.2%
선인2호태양광발전소 3
 
0.2%
Other values (1706) 1807
98.2%
2024-03-15T04:05:22.363193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1751
 
10.2%
전 1741
 
10.2%
발 1729
 
10.1%
양 1722
 
10.1%
광 1720
 
10.1%
태 1717
 
10.0%
호 866
 
5.1%
1 333
 
1.9%
2 306
 
1.8%
리 151
 
0.9%
Other values (384) 5049
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15893
93.0%
Decimal Number 1035
 
6.1%
Space Separator 50
 
0.3%
Uppercase Letter 48
 
0.3%
Lowercase Letter 36
 
0.2%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1751
11.0%
전 1741
11.0%
발 1729
10.9%
양 1722
10.8%
광 1720
10.8%
태 1717
10.8%
호 866
 
5.4%
리 151
 
1.0%
진 127
 
0.8%
이 125
 
0.8%
Other values (344) 4244
26.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
22.9%
E 7
14.6%
K 7
14.6%
M 5
10.4%
C 3
 
6.2%
G 2
 
4.2%
N 2
 
4.2%
H 2
 
4.2%
L 2
 
4.2%
B 1
 
2.1%
Other values (6) 6
12.5%
Decimal Number
ValueCountFrequency (%)
1 333
32.2%
2 306
29.6%
3 151
14.6%
4 80
 
7.7%
5 54
 
5.2%
6 35
 
3.4%
7 29
 
2.8%
8 18
 
1.7%
0 16
 
1.5%
9 13
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
16.7%
l 5
13.9%
a 5
13.9%
r 5
13.9%
k 4
11.1%
s 4
11.1%
p 3
8.3%
n 2
 
5.6%
y 1
 
2.8%
u 1
 
2.8%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15896
93.0%
Common 1105
 
6.5%
Latin 84
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1751
11.0%
전 1741
11.0%
발 1729
10.9%
양 1722
10.8%
광 1720
10.8%
태 1717
10.8%
호 866
 
5.4%
리 151
 
0.9%
진 127
 
0.8%
이 125
 
0.8%
Other values (345) 4247
26.7%
Latin
ValueCountFrequency (%)
S 11
13.1%
E 7
 
8.3%
K 7
 
8.3%
o 6
 
7.1%
M 5
 
6.0%
l 5
 
6.0%
a 5
 
6.0%
r 5
 
6.0%
k 4
 
4.8%
s 4
 
4.8%
Other values (16) 25
29.8%
Common
ValueCountFrequency (%)
1 333
30.1%
2 306
27.7%
3 151
13.7%
4 80
 
7.2%
5 54
 
4.9%
50
 
4.5%
6 35
 
3.2%
7 29
 
2.6%
8 18
 
1.6%
0 16
 
1.4%
Other values (3) 33
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15893
93.0%
ASCII 1189
 
7.0%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1751
11.0%
전 1741
11.0%
발 1729
10.9%
양 1722
10.8%
광 1720
10.8%
태 1717
10.8%
호 866
 
5.4%
리 151
 
1.0%
진 127
 
0.8%
이 125
 
0.8%
Other values (344) 4244
26.7%
ASCII
ValueCountFrequency (%)
1 333
28.0%
2 306
25.7%
3 151
12.7%
4 80
 
6.7%
5 54
 
4.5%
50
 
4.2%
6 35
 
2.9%
7 29
 
2.4%
8 18
 
1.5%
0 16
 
1.3%
Other values (29) 117
 
9.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

용량(kW)
Real number (ℝ)

HIGH CORRELATION 

Distinct136
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.71311
Minimum5
Maximum2130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2024-03-15T04:05:22.616067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q199
median99
Q399
95-th percentile398.8
Maximum2130
Range2125
Interquartile range (IQR)0

Descriptive statistics

Standard deviation157.99875
Coefficient of variation (CV)1.2275265
Kurtosis31.212341
Mean128.71311
Median Absolute Deviation (MAD)0
Skewness5.0108482
Sum234644
Variance24963.605
MonotonicityNot monotonic
2024-03-15T04:05:22.906538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 1196
65.6%
98 94
 
5.2%
29 54
 
3.0%
19 42
 
2.3%
199 33
 
1.8%
49 28
 
1.5%
97 21
 
1.2%
999 15
 
0.8%
96 14
 
0.8%
496 12
 
0.7%
Other values (126) 314
 
17.2%
ValueCountFrequency (%)
5 1
 
0.1%
10 3
 
0.2%
11 1
 
0.1%
14 3
 
0.2%
15 5
 
0.3%
16 2
 
0.1%
18 6
 
0.3%
19 42
2.3%
20 3
 
0.2%
25 4
 
0.2%
ValueCountFrequency (%)
2130 1
 
0.1%
1000 2
 
0.1%
999 15
0.8%
998 4
 
0.2%
997 3
 
0.2%
996 3
 
0.2%
994 1
 
0.1%
993 1
 
0.1%
992 1
 
0.1%
991 2
 
0.1%

설치면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1007
Distinct (%)56.0%
Missing24
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean1450.338
Minimum0
Maximum55680
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2024-03-15T04:05:23.145078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144.9
Q1485.5
median1000
Q31362
95-th percentile3584.4
Maximum55680
Range55680
Interquartile range (IQR)876.5

Descriptive statistics

Standard deviation2851.5424
Coefficient of variation (CV)1.9661227
Kurtosis120.39843
Mean1450.338
Median Absolute Deviation (MAD)458
Skewness9.2003969
Sum2609158
Variance8131294.2
MonotonicityNot monotonic
2024-03-15T04:05:23.465921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393 23
 
1.3%
420 19
 
1.0%
342 16
 
0.9%
1000 14
 
0.8%
1119 12
 
0.7%
398 11
 
0.6%
1500 10
 
0.5%
468 10
 
0.5%
97 8
 
0.4%
1162 8
 
0.4%
Other values (997) 1668
91.5%
(Missing) 24
 
1.3%
ValueCountFrequency (%)
0 1
0.1%
36 1
0.1%
48 1
0.1%
54 1
0.1%
60 2
0.1%
67 1
0.1%
68 1
0.1%
69 1
0.1%
79 1
0.1%
80 1
0.1%
ValueCountFrequency (%)
55680 1
0.1%
40500 1
0.1%
35553 1
0.1%
28829 1
0.1%
25481 1
0.1%
23570 1
0.1%
22373 1
0.1%
19786 1
0.1%
18215 1
0.1%
17157 1
0.1%

설치위치
Text

Distinct1449
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2024-03-15T04:05:25.018041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length91
Mean length32.015359
Min length21

Characters and Unicode

Total characters58364
Distinct characters147
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1240 ?
Unique (%)68.0%

Sample

1st row전북특별자치도 진안군 성수면 좌포리 405-3
2nd row전북특별자치도 진안군 용담면 송풍리 1301-3
3rd row전북특별자치도 진안군 성수면 좌포리 산 33-1
4th row전북특별자치도 진안군 성수면 좌포리산 33-1
5th row전북특별자치도 진안군 마령면 덕천리 산124-2
ValueCountFrequency (%)
전북특별자치도 1823
 
17.3%
진안군 1820
 
17.3%
진안읍 698
 
6.6%
부귀면 233
 
2.2%
성수면 186
 
1.8%
마령면 177
 
1.7%
구룡리 170
 
1.6%
백운면 169
 
1.6%
건물상부 127
 
1.2%
가림리 110
 
1.0%
Other values (1982) 5024
47.7%
2024-03-15T04:05:26.930182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8725
 
14.9%
1 2893
 
5.0%
안 2625
 
4.5%
진 2529
 
4.3%
- 2245
 
3.8%
전 1902
 
3.3%
군 1844
 
3.2%
자 1832
 
3.1%
북 1831
 
3.1%
도 1826
 
3.1%
Other values (137) 30112
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32685
56.0%
Decimal Number 12233
 
21.0%
Space Separator 8725
 
14.9%
Dash Punctuation 2245
 
3.8%
Other Punctuation 1394
 
2.4%
Open Punctuation 540
 
0.9%
Close Punctuation 540
 
0.9%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 2625
 
8.0%
진 2529
 
7.7%
전 1902
 
5.8%
군 1844
 
5.6%
자 1832
 
5.6%
북 1831
 
5.6%
도 1826
 
5.6%
치 1825
 
5.6%
별 1823
 
5.6%
특 1823
 
5.6%
Other values (120) 12825
39.2%
Decimal Number
ValueCountFrequency (%)
1 2893
23.6%
2 1713
14.0%
3 1202
9.8%
4 1064
 
8.7%
8 1055
 
8.6%
5 995
 
8.1%
6 965
 
7.9%
7 810
 
6.6%
9 795
 
6.5%
0 741
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 1392
99.9%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
8725
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 540
100.0%
Close Punctuation
ValueCountFrequency (%)
) 540
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32685
56.0%
Common 25679
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 2625
 
8.0%
진 2529
 
7.7%
전 1902
 
5.8%
군 1844
 
5.6%
자 1832
 
5.6%
북 1831
 
5.6%
도 1826
 
5.6%
치 1825
 
5.6%
별 1823
 
5.6%
특 1823
 
5.6%
Other values (120) 12825
39.2%
Common
ValueCountFrequency (%)
8725
34.0%
1 2893
 
11.3%
- 2245
 
8.7%
2 1713
 
6.7%
, 1392
 
5.4%
3 1202
 
4.7%
4 1064
 
4.1%
8 1055
 
4.1%
5 995
 
3.9%
6 965
 
3.8%
Other values (7) 3430
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32685
56.0%
ASCII 25679
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8725
34.0%
1 2893
 
11.3%
- 2245
 
8.7%
2 1713
 
6.7%
, 1392
 
5.4%
3 1202
 
4.7%
4 1064
 
4.1%
8 1055
 
4.1%
5 995
 
3.9%
6 965
 
3.8%
Other values (7) 3430
 
13.4%
Hangul
ValueCountFrequency (%)
안 2625
 
8.0%
진 2529
 
7.7%
전 1902
 
5.8%
군 1844
 
5.6%
자 1832
 
5.6%
북 1831
 
5.6%
도 1826
 
5.6%
치 1825
 
5.6%
별 1823
 
5.6%
특 1823
 
5.6%
Other values (120) 12825
39.2%

허가일
Date

Distinct320
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2008-01-30 00:00:00
Maximum2023-03-07 00:00:00
2024-03-15T04:05:27.174640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:27.436365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct295
Distinct (%)26.3%
Missing702
Missing (%)38.5%
Memory size14.4 KiB
Minimum2008-09-09 00:00:00
Maximum2023-04-07 00:00:00
2024-03-15T04:05:27.858169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:28.308242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2023-09-04 00:00:00
Maximum2023-09-04 00:00:00
2024-03-15T04:05:28.655872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:28.969366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T04:05:17.840901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:15.948256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:17.166163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:18.013265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:16.269466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:17.444485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:18.176892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:16.840640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:05:17.618811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:05:29.382962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가자용량(kW)설치면적(제곱미터)
연번1.0000.9190.2820.216
허가자0.9191.0000.6630.375
용량(kW)0.2820.6631.0000.681
설치면적(제곱미터)0.2160.3750.6811.000
2024-03-15T04:05:29.684282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번용량(kW)설치면적(제곱미터)허가자
연번1.000-0.037-0.1270.760
용량(kW)-0.0371.0000.5840.485
설치면적(제곱미터)-0.1270.5841.0000.375
허가자0.7600.4850.3751.000

Missing values

2024-03-15T04:05:18.405122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:05:18.880444image/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.
2024-03-15T04:05:19.196295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번허가자발전소명용량(kW)설치면적(제곱미터)설치위치허가일사업개시일데이터기준일
01전북특별자치도김미경993500전북특별자치도 진안군 성수면 좌포리 405-32008-01-302009-04-142023-09-04
12전북특별자치도용두골마을태양광5165전북특별자치도 진안군 용담면 송풍리 1301-32008-06-202008-09-092023-09-04
23전북특별자치도(유)일빛에너지일광2호기99309전북특별자치도 진안군 성수면 좌포리 산 33-12008-08-062009-04-142023-09-04
34전북특별자치도(유)일빛에너지일광3호기993096전북특별자치도 진안군 성수면 좌포리산 33-12008-08-062009-06-022023-09-04
45전북특별자치도㈜해냄신재생에너지덕천태양광발전소994994전북특별자치도 진안군 마령면 덕천리 산124-22010-01-052010-08-172023-09-04
56전북특별자치도감마태양광발전소99699전북특별자치도 진안군 부귀면 신정리 43-122010-10-282011-04-132023-09-04
67전북특별자치도입실론태양광발전소99489전북특별자치도 진안군 부귀면 신정리 43-132010-10-282011-04-132023-09-04
78전북특별자치도델타태양광발전소29625전북특별자치도 진안군 부귀면 신정리 43-62010-10-282011-04-132023-09-04
89전북특별자치도베타태양광발전소99697전북특별자치도 진안군 부귀면 신정리 43-10,43-142010-10-282011-04-132023-09-04
910전북특별자치도일광태양광발전소4호28826전북특별자치도 진안군 성수면 좌포리 405-132010-11-092012-01-182023-09-04
연번허가자발전소명용량(kW)설치면적(제곱미터)설치위치허가일사업개시일데이터기준일
18131814진안군에스제일태양광발전소5호99993전북특별자치도 진안군 진안읍 연장리 2582023-02-03<NA>2023-09-04
18141815진안군에스제일태양광발전소6호991168전북특별자치도 진안군 진안읍 연장리 2692023-02-03<NA>2023-09-04
18151816진안군에스제일태양광발전소7호991390전북특별자치도 진안군 진안읍 연장리 2692023-02-03<NA>2023-09-04
18161817진안군옥진태양광발전소29353전북특별자치도 진안군 진안읍 단양리 17-52023-02-032023-04-072023-09-04
18171818진안군백현숙1호태양광99954전북특별자치도 진안군 진안읍 가림리 925-52023-02-03<NA>2023-09-04
18181819진안군이삭1태양광발전소59281전북특별자치도 진안군 부귀면 거석리 385(건물상부)2023-02-03<NA>2023-09-04
18191820진안군이삭2태양광발전소39185전북특별자치도 진안군 부귀면 수항리 554-7(건물상부)2023-02-03<NA>2023-09-04
18201821진안군영용태양광발전소99837전북특별자치도 진안군 진안읍 가림리 1890-3(건물상부-주1,부1)2023-03-07<NA>2023-09-04
18211822진안군백운1호태양광발전소99884전북특별자치도 진안군 백운면 운교리 342-12023-03-07<NA>2023-09-04
18221823진안군백운2호태양광발전소49390전북특별자치도 진안군 백운면 운교리 342-12023-03-07<NA>2023-09-04