Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells3413
Missing cells (%)4.3%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Categorical3
DateTime2
Text2
Numeric1

Dataset

Description전북특별자치도 내 태양광발전소 인허가 및 설치 현황(지역, 인허가일자, 법인(상호)명, 발전소주소, 원동력 종류, 설비용량(KW), 사업개시일(공란 미개시))
Author전북특별자치도
URLhttps://www.data.go.kr/data/15113785/fileData.do

Alerts

원동력의 종류 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
자치단체코드 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 자치단체코드High correlation
사업개시일 has 3413 (34.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 10:04:55.291788
Analysis finished2024-03-14 10:04:57.965743
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체코드
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전북특별자치도 정읍시청
1570 
전북특별자치도 김제시청
1462 
전북특별자치도 익산시청
1390 
전북특별자치도 남원시청
1139 
전북특별자치도 임실군청
683 
Other values (11)
3756 

Length

Max length12
Median length12
Mean length11.9972
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row전북특별자치도 남원시청
2nd row전북특별자치도 김제시청
3rd row전북특별자치도 부안군청
4th row전북특별자치도 정읍시청
5th row전북특별자치도 임실군청

Common Values

ValueCountFrequency (%)
전북특별자치도 정읍시청 1570
15.7%
전북특별자치도 김제시청 1462
14.6%
전북특별자치도 익산시청 1390
13.9%
전북특별자치도 남원시청 1139
11.4%
전북특별자치도 임실군청 683
6.8%
전북특별자치도 고창군청 624
 
6.2%
전북특별자치도 부안군청 563
 
5.6%
전북특별자치도 군산시청 517
 
5.2%
전북특별자치도 완주군청 510
 
5.1%
전북특별자치도 진안군청 482
 
4.8%
Other values (6) 1060
10.6%

Length

2024-03-14T19:04:58.169837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전북특별자치도 9976
49.9%
정읍시청 1570
 
7.9%
김제시청 1462
 
7.3%
익산시청 1390
 
7.0%
남원시청 1139
 
5.7%
임실군청 683
 
3.4%
고창군청 624
 
3.1%
부안군청 563
 
2.8%
군산시청 517
 
2.6%
완주군청 510
 
2.6%
Other values (7) 1542
 
7.7%

지역
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정읍시
1570 
김제시
1462 
익산시
1395 
남원시
1140 
임실군
683 
Other values (9)
3750 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남원시
2nd row김제시
3rd row부안군
4th row정읍시
5th row임실군

Common Values

ValueCountFrequency (%)
정읍시 1570
15.7%
김제시 1462
14.6%
익산시 1395
14.0%
남원시 1140
11.4%
임실군 683
6.8%
고창군 625
 
6.2%
부안군 563
 
5.6%
군산시 530
 
5.3%
완주군 511
 
5.1%
진안군 483
 
4.8%
Other values (4) 1038
10.4%

Length

2024-03-14T19:04:58.586904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정읍시 1570
15.7%
김제시 1462
14.6%
익산시 1395
14.0%
남원시 1140
11.4%
임실군 683
6.8%
고창군 625
 
6.2%
부안군 563
 
5.6%
군산시 530
 
5.3%
완주군 511
 
5.1%
진안군 483
 
4.8%
Other values (4) 1038
10.4%

인허가일자
Date

Distinct2001
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2005-06-03 00:00:00
Maximum2023-04-10 00:00:00
2024-03-14T19:04:59.011102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:04:59.617136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인(상호)명
Text

Distinct9025
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T19:05:01.671201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length9.4372
Min length2

Characters and Unicode

Total characters94372
Distinct characters680
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

Unique8391 ?
Unique (%)83.9%

Sample

1st row지오에너지태양광발전소
2nd row수경태양광발전소
3rd row연비태양광발전소
4th row안동현 태양광발전소
5th row희나길2호태양광발전소
ValueCountFrequency (%)
태양광발전소 1952
 
15.9%
발전소 94
 
0.8%
태양광 92
 
0.7%
유한회사 15
 
0.1%
한빛태양광발전소 12
 
0.1%
행복태양광발전소 12
 
0.1%
3호 9
 
0.1%
자연태양광발전소 8
 
0.1%
우리태양광발전소 8
 
0.1%
하늘태양광발전소 8
 
0.1%
Other values (9067) 10084
82.0%
2024-03-14T19:05:03.494221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 9525
 
10.1%
태 9464
 
10.0%
양 9421
 
10.0%
전 9071
 
9.6%
소 9041
 
9.6%
발 8965
 
9.5%
호 3972
 
4.2%
2300
 
2.4%
1 1611
 
1.7%
2 1493
 
1.6%
Other values (670) 29509
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85413
90.5%
Decimal Number 5076
 
5.4%
Space Separator 2300
 
2.4%
Uppercase Letter 567
 
0.6%
Close Punctuation 385
 
0.4%
Open Punctuation 385
 
0.4%
Other Symbol 91
 
0.1%
Lowercase Letter 83
 
0.1%
Dash Punctuation 43
 
< 0.1%
Other Punctuation 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 9525
 
11.2%
태 9464
 
11.1%
양 9421
 
11.0%
전 9071
 
10.6%
소 9041
 
10.6%
발 8965
 
10.5%
호 3972
 
4.7%
지 760
 
0.9%
에 600
 
0.7%
이 531
 
0.6%
Other values (607) 24063
28.2%
Uppercase Letter
ValueCountFrequency (%)
S 102
18.0%
J 65
11.5%
H 51
 
9.0%
K 43
 
7.6%
Y 38
 
6.7%
M 29
 
5.1%
E 27
 
4.8%
G 25
 
4.4%
O 24
 
4.2%
B 23
 
4.1%
Other values (13) 140
24.7%
Lowercase Letter
ValueCountFrequency (%)
r 12
14.5%
o 12
14.5%
e 11
13.3%
n 7
8.4%
a 6
7.2%
l 6
7.2%
s 4
 
4.8%
h 4
 
4.8%
y 4
 
4.8%
w 3
 
3.6%
Other values (7) 14
16.9%
Decimal Number
ValueCountFrequency (%)
1 1611
31.7%
2 1493
29.4%
3 744
14.7%
4 367
 
7.2%
5 268
 
5.3%
6 185
 
3.6%
7 135
 
2.7%
0 103
 
2.0%
8 94
 
1.9%
9 76
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 10
34.5%
. 8
27.6%
& 6
20.7%
/ 2
 
6.9%
, 2
 
6.9%
? 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 377
97.9%
] 8
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 377
97.9%
[ 8
 
2.1%
Space Separator
ValueCountFrequency (%)
2300
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85504
90.6%
Common 8218
 
8.7%
Latin 650
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 9525
 
11.1%
태 9464
 
11.1%
양 9421
 
11.0%
전 9071
 
10.6%
소 9041
 
10.6%
발 8965
 
10.5%
호 3972
 
4.6%
지 760
 
0.9%
에 600
 
0.7%
이 531
 
0.6%
Other values (608) 24154
28.2%
Latin
ValueCountFrequency (%)
S 102
15.7%
J 65
 
10.0%
H 51
 
7.8%
K 43
 
6.6%
Y 38
 
5.8%
M 29
 
4.5%
E 27
 
4.2%
G 25
 
3.8%
O 24
 
3.7%
B 23
 
3.5%
Other values (30) 223
34.3%
Common
ValueCountFrequency (%)
2300
28.0%
1 1611
19.6%
2 1493
18.2%
3 744
 
9.1%
) 377
 
4.6%
( 377
 
4.6%
4 367
 
4.5%
5 268
 
3.3%
6 185
 
2.3%
7 135
 
1.6%
Other values (12) 361
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85413
90.5%
ASCII 8868
 
9.4%
None 91
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 9525
 
11.2%
태 9464
 
11.1%
양 9421
 
11.0%
전 9071
 
10.6%
소 9041
 
10.6%
발 8965
 
10.5%
호 3972
 
4.7%
지 760
 
0.9%
에 600
 
0.7%
이 531
 
0.6%
Other values (607) 24063
28.2%
ASCII
ValueCountFrequency (%)
2300
25.9%
1 1611
18.2%
2 1493
16.8%
3 744
 
8.4%
) 377
 
4.3%
( 377
 
4.3%
4 367
 
4.1%
5 268
 
3.0%
6 185
 
2.1%
7 135
 
1.5%
Other values (52) 1011
11.4%
None
ValueCountFrequency (%)
㈜ 91
100.0%

발전소주소
Text

Distinct8959
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T19:05:05.134344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length84
Mean length30.2196
Min length1

Characters and Unicode

Total characters302196
Distinct characters388
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8386 ?
Unique (%)83.9%

Sample

1st row전북특별자치도 남원시 사매면 오신리 102-4, 산5-8
2nd row전북특별자치도 김제시 봉남면 대송리 182번지 , 174-25
3rd row전북특별자치도 부안군 주산면 덕림리 253번지
4th row전북특별자치도 정읍시 북면 승부리 480번지 6호 , 470-12
5th row전북특별자치도 임실군 성수면 도인리 340번지 3호
ValueCountFrequency (%)
전북특별자치도 9892
 
16.3%
정읍시 1567
 
2.6%
김제시 1462
 
2.4%
익산시 1391
 
2.3%
1365
 
2.3%
남원시 1068
 
1.8%
임실군 681
 
1.1%
건물상부 622
 
1.0%
고창군 622
 
1.0%
1호 556
 
0.9%
Other values (9795) 41308
68.2%
2024-03-14T19:05:07.289392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50660
 
16.8%
1 12130
 
4.0%
전 10307
 
3.4%
북 10252
 
3.4%
도 10080
 
3.3%
치 10032
 
3.3%
자 9965
 
3.3%
별 9892
 
3.3%
특 9892
 
3.3%
리 8983
 
3.0%
Other values (378) 160003
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175782
58.2%
Decimal Number 59437
 
19.7%
Space Separator 50660
 
16.8%
Dash Punctuation 8093
 
2.7%
Other Punctuation 5625
 
1.9%
Open Punctuation 1244
 
0.4%
Close Punctuation 1243
 
0.4%
Other Symbol 39
 
< 0.1%
Uppercase Letter 39
 
< 0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 10307
 
5.9%
북 10252
 
5.8%
도 10080
 
5.7%
치 10032
 
5.7%
자 9965
 
5.7%
별 9892
 
5.6%
특 9892
 
5.6%
리 8983
 
5.1%
면 7808
 
4.4%
시 6231
 
3.5%
Other values (341) 82340
46.8%
Uppercase Letter
ValueCountFrequency (%)
W 18
46.2%
K 3
 
7.7%
G 2
 
5.1%
A 2
 
5.1%
I 2
 
5.1%
L 2
 
5.1%
B 2
 
5.1%
C 2
 
5.1%
O 2
 
5.1%
P 1
 
2.6%
Other values (3) 3
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 12130
20.4%
2 7785
13.1%
3 6405
10.8%
4 5684
9.6%
5 5324
9.0%
6 5164
8.7%
7 4733
 
8.0%
8 4268
 
7.2%
9 4073
 
6.9%
0 3871
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 5569
99.0%
/ 27
 
0.5%
. 27
 
0.5%
" 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 35
89.7%
㈜ 4
 
10.3%
Lowercase Letter
ValueCountFrequency (%)
k 18
90.0%
w 2
 
10.0%
Math Symbol
ValueCountFrequency (%)
~ 13
92.9%
+ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
50660
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8093
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175786
58.2%
Common 126351
41.8%
Latin 59
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 10307
 
5.9%
북 10252
 
5.8%
도 10080
 
5.7%
치 10032
 
5.7%
자 9965
 
5.7%
별 9892
 
5.6%
특 9892
 
5.6%
리 8983
 
5.1%
면 7808
 
4.4%
시 6231
 
3.5%
Other values (342) 82344
46.8%
Common
ValueCountFrequency (%)
50660
40.1%
1 12130
 
9.6%
- 8093
 
6.4%
2 7785
 
6.2%
3 6405
 
5.1%
4 5684
 
4.5%
, 5569
 
4.4%
5 5324
 
4.2%
6 5164
 
4.1%
7 4733
 
3.7%
Other values (11) 14804
 
11.7%
Latin
ValueCountFrequency (%)
W 18
30.5%
k 18
30.5%
K 3
 
5.1%
G 2
 
3.4%
w 2
 
3.4%
A 2
 
3.4%
I 2
 
3.4%
L 2
 
3.4%
B 2
 
3.4%
C 2
 
3.4%
Other values (5) 6
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175774
58.2%
ASCII 126375
41.8%
CJK Compat 35
 
< 0.1%
Compat Jamo 8
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50660
40.1%
1 12130
 
9.6%
- 8093
 
6.4%
2 7785
 
6.2%
3 6405
 
5.1%
4 5684
 
4.5%
, 5569
 
4.4%
5 5324
 
4.2%
6 5164
 
4.1%
7 4733
 
3.7%
Other values (25) 14828
 
11.7%
Hangul
ValueCountFrequency (%)
전 10307
 
5.9%
북 10252
 
5.8%
도 10080
 
5.7%
치 10032
 
5.7%
자 9965
 
5.7%
별 9892
 
5.6%
특 9892
 
5.6%
리 8983
 
5.1%
면 7808
 
4.4%
시 6231
 
3.5%
Other values (335) 82332
46.8%
CJK Compat
ValueCountFrequency (%)
㎡ 35
100.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
25.0%
ㄹ 2
25.0%
ㄴ 1
12.5%
ㅊ 1
12.5%
ㄷ 1
12.5%
ㅁ 1
12.5%

원동력의 종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
태양광
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 10000
100.0%

Length

2024-03-14T19:05:07.748025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:05:08.035982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 10000
100.0%

설비용량(KW)
Real number (ℝ)

Distinct1475
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.71968
Minimum3
Maximum2999.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:05:08.420922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile25.92
Q198.56
median99.2
Q399.84
95-th percentile498.75
Maximum2999.7
Range2996.7
Interquartile range (IQR)1.28

Descriptive statistics

Standard deviation198.35876
Coefficient of variation (CV)1.3612352
Kurtosis47.791023
Mean145.71968
Median Absolute Deviation (MAD)0.64
Skewness5.5436606
Sum1457196.8
Variance39346.199
MonotonicityNot monotonic
2024-03-14T19:05:08.902585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 1562
 
15.6%
99.9 404
 
4.0%
99.45 385
 
3.9%
99.84 368
 
3.7%
99.36 357
 
3.6%
99.4 349
 
3.5%
99.96 266
 
2.7%
99.2 220
 
2.2%
99.6 196
 
2.0%
99.28 183
 
1.8%
Other values (1465) 5710
57.1%
ValueCountFrequency (%)
3.0 2
< 0.1%
3.06 1
 
< 0.1%
3.08 1
 
< 0.1%
5.88 1
 
< 0.1%
6.8 1
 
< 0.1%
7.0 1
 
< 0.1%
8.16 1
 
< 0.1%
8.76 1
 
< 0.1%
8.78 1
 
< 0.1%
9.0 4
< 0.1%
ValueCountFrequency (%)
2999.7 1
 
< 0.1%
2998.0 1
 
< 0.1%
2995.2 3
< 0.1%
2950.53 1
 
< 0.1%
2833.92 1
 
< 0.1%
2707.68 1
 
< 0.1%
2499.84 1
 
< 0.1%
2400.0 1
 
< 0.1%
2140.0 1
 
< 0.1%
2016.0 2
< 0.1%

사업개시일
Date

MISSING 

Distinct2027
Distinct (%)30.8%
Missing3413
Missing (%)34.1%
Memory size156.2 KiB
Minimum2005-10-19 00:00:00
Maximum2023-03-31 00:00:00
2024-03-14T19:05:09.416969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:05:09.976140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T19:04:56.949639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:05:10.257064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치단체코드지역설비용량(KW)
자치단체코드1.0001.0000.631
지역1.0001.0000.143
설비용량(KW)0.6310.1431.000
2024-03-14T19:05:10.525489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치단체코드지역
자치단체코드1.0000.999
지역0.9991.000
2024-03-14T19:05:10.820982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량(KW)자치단체코드지역
설비용량(KW)1.0000.3070.058
자치단체코드0.3071.0000.999
지역0.0580.9991.000

Missing values

2024-03-14T19:04:57.318945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:04:57.752326image/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

자치단체코드지역인허가일자법인(상호)명발전소주소원동력의 종류설비용량(KW)사업개시일
16967전북특별자치도 남원시청남원시2018-03-16지오에너지태양광발전소전북특별자치도 남원시 사매면 오신리 102-4, 산5-8태양광99.02020-01-31
39865전북특별자치도 김제시청김제시2018-04-02수경태양광발전소전북특별자치도 김제시 봉남면 대송리 182번지 , 174-25태양광99.4<NA>
22289전북특별자치도 부안군청부안군2015-11-18연비태양광발전소전북특별자치도 부안군 주산면 덕림리 253번지태양광60.02016-04-21
29238전북특별자치도 정읍시청정읍시2015-08-26안동현 태양광발전소전북특별자치도 정읍시 북면 승부리 480번지 6호 , 470-12태양광99.112016-05-16
689전북특별자치도 임실군청임실군2018-02-28희나길2호태양광발전소전북특별자치도 임실군 성수면 도인리 340번지 3호태양광98.82<NA>
40575전북특별자치도 무주군청무주군2022-09-23희문 태양광 발전소전북특별자치도 무주군 안성면 공진리 812-15태양광99.872023-01-05
11881전북특별자치도 완주군청완주군2021-07-08그린1호태양광발전소전북특별자치도 완주군 비봉면 내월리 452태양광99.02022-07-14
25630전북특별자치도 정읍시청정읍시2017-04-13햇빛치수태양광발전소전북특별자치도 정읍시 신태인읍 육리 617번지 6호태양광99.42020-04-16
29372전북특별자치도 정읍시청정읍시2018-09-12해주2호태양광발전소전북특별자치도 정읍시 고부면 입석리 산 31-1 , 58-4, 덕안리 2-40태양광499.5<NA>
36043전북특별자치도 김제시청김제시2018-03-16소망태양광발전소전북특별자치도 김제시 연정동 391번지 19호 391-24태양광99.122021-06-23
자치단체코드지역인허가일자법인(상호)명발전소주소원동력의 종류설비용량(KW)사업개시일
23367전북특별자치도 정읍시청정읍시2013-09-30서우태양광발전소전북특별자치도 정읍시 정우면 산북리 254태양광60.02014-01-06
13044전북특별자치도 남원시청남원시2017-09-28경보5호태양광발전소전북특별자치도 남원시 주천면 배덕리 9-4태양광99.02020-12-29
13741전북특별자치도 남원시청남원시2022-04-25희망3호태양광발전소전북특별자치도 남원시 보절면 도룡리 494-19태양광98.12<NA>
35808전북특별자치도 김제시청김제시2023-02-22구월나무2호태양광발전소전북특별자치도 김제시 용지면 장신리 513-6 , 517태양광99.12<NA>
2978전북특별자치도 익산시청익산시2023-03-31진원1 태양광발전소전북특별자치도 익산시 성당면 장선리 374-3 건물위태양광99.99<NA>
21099전북특별자치도 부안군청부안군2018-01-23SM5호태양광발전소전북특별자치도 부안군 백산면 하청리 493번지 63호태양광99.162020-01-13
18081전북특별자치도 고창군청고창군2019-06-18용장2호 태양광발전소전북특별자치도 고창군 아산면 남산리 279번지 2호태양광75.922019-11-06
6779전북특별자치도 익산시청익산시2017-09-26신태양광발전소전북특별자치도 익산시 낭산면 성남리태양광99.02020-07-27
39796전북특별자치도 김제시청김제시2012-07-02치세태양광발전소전북특별자치도 김제시 청하면 월현리 149번지 -3 건물상부태양광58.52013-03-05
2544전북특별자치도 임실군청임실군2017-09-14응만2호태양광발전소전북특별자치도 임실군 임실읍 이도리 446번지 41호태양광99.752018-11-08

Duplicate rows

Most frequently occurring

자치단체코드지역인허가일자법인(상호)명발전소주소원동력의 종류설비용량(KW)사업개시일# duplicates
0전북특별자치도 장수군청장수군2015-09-24참좋은태양광발전소전북특별자치도 장수군 장계면 명덕리 489 , 244태양광99.02015-12-172