Overview

Dataset statistics

Number of variables10
Number of observations1827
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.2 KiB
Average record size in memory83.1 B

Variable types

Numeric2
Text2
Categorical4
DateTime2

Dataset

Description데이터 신청에 의한 등록으로, 태양광발전사업에 대한 허가현황이다. 순번, 상호, 설치장소소재지, 영업구분, 원동력의종류, 설비용량KW, 공급전압V, 주파수Hz, 허가일자, 기준일자 항목으로 구성되었다.
Author경상북도 의성군
URLhttps://www.data.go.kr/data/15099372/fileData.do

Alerts

기준일자 has constant value ""Constant
설비용량(KW) is highly overall correlated with 원동력의종류 and 1 other fieldsHigh correlation
원동력의종류 is highly overall correlated with 설비용량(KW) and 1 other fieldsHigh correlation
공급전압(V) is highly overall correlated with 설비용량(KW) and 2 other fieldsHigh correlation
주파수(Hz) is highly overall correlated with 공급전압(V)High correlation
원동력의종류 is highly imbalanced (98.6%)Imbalance
공급전압(V) is highly imbalanced (73.1%)Imbalance
주파수(Hz) is highly imbalanced (99.0%)Imbalance
설비용량(KW) is highly skewed (γ1 = 29.47503637)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:45:58.836351
Analysis finished2023-12-12 23:45:59.905586
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1827
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean914
Minimum1
Maximum1827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-13T08:45:59.959462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile92.3
Q1457.5
median914
Q31370.5
95-th percentile1735.7
Maximum1827
Range1826
Interquartile range (IQR)913

Descriptive statistics

Standard deviation527.55379
Coefficient of variation (CV)0.57719233
Kurtosis-1.2
Mean914
Median Absolute Deviation (MAD)457
Skewness0
Sum1669878
Variance278313
MonotonicityStrictly increasing
2023-12-13T08:46:00.093437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1229 1
 
0.1%
1227 1
 
0.1%
1226 1
 
0.1%
1225 1
 
0.1%
1224 1
 
0.1%
1223 1
 
0.1%
1222 1
 
0.1%
1221 1
 
0.1%
1220 1
 
0.1%
Other values (1817) 1817
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 (%)
1827 1
0.1%
1826 1
0.1%
1825 1
0.1%
1824 1
0.1%
1823 1
0.1%
1822 1
0.1%
1821 1
0.1%
1820 1
0.1%
1819 1
0.1%
1818 1
0.1%

상호
Text

Distinct1715
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-13T08:46:00.338399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length9.2665572
Min length3

Characters and Unicode

Total characters16930
Distinct characters394
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1628 ?
Unique (%)89.1%

Sample

1st row월천태양광발전소
2nd row신축태양광발전소
3rd row진성태양광발전소
4th row이레11호태양광발전소
5th row이레9호태양광발전소
ValueCountFrequency (%)
태양광발전소 227
 
10.6%
주식회사 26
 
1.2%
금성태양광발전소 6
 
0.3%
효제솔라파크 6
 
0.3%
한빛태양광발전소 5
 
0.2%
해발태양광발전소 4
 
0.2%
발전소 4
 
0.2%
다인태양광발전소 4
 
0.2%
대경태양광발전소 4
 
0.2%
행복태양광발전소 4
 
0.2%
Other values (1731) 1843
86.4%
2023-12-13T08:46:00.723323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1606
 
9.5%
1584
 
9.4%
1583
 
9.4%
1565
 
9.2%
1538
 
9.1%
1535
 
9.1%
476
 
2.8%
306
 
1.8%
270
 
1.6%
256
 
1.5%
Other values (384) 6211
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15422
91.1%
Decimal Number 824
 
4.9%
Space Separator 306
 
1.8%
Close Punctuation 129
 
0.8%
Open Punctuation 129
 
0.8%
Uppercase Letter 113
 
0.7%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1606
 
10.4%
1584
 
10.3%
1583
 
10.3%
1565
 
10.1%
1538
 
10.0%
1535
 
10.0%
476
 
3.1%
270
 
1.8%
256
 
1.7%
204
 
1.3%
Other values (348) 4805
31.2%
Uppercase Letter
ValueCountFrequency (%)
S 20
17.7%
K 10
 
8.8%
H 8
 
7.1%
J 8
 
7.1%
G 7
 
6.2%
E 6
 
5.3%
Y 6
 
5.3%
D 6
 
5.3%
W 6
 
5.3%
P 5
 
4.4%
Other values (11) 31
27.4%
Decimal Number
ValueCountFrequency (%)
1 237
28.8%
2 236
28.6%
3 127
15.4%
4 72
 
8.7%
5 49
 
5.9%
6 34
 
4.1%
7 27
 
3.3%
8 17
 
2.1%
9 13
 
1.6%
0 12
 
1.5%
Space Separator
ValueCountFrequency (%)
306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15422
91.1%
Common 1395
 
8.2%
Latin 113
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1606
 
10.4%
1584
 
10.3%
1583
 
10.3%
1565
 
10.1%
1538
 
10.0%
1535
 
10.0%
476
 
3.1%
270
 
1.8%
256
 
1.7%
204
 
1.3%
Other values (348) 4805
31.2%
Latin
ValueCountFrequency (%)
S 20
17.7%
K 10
 
8.8%
H 8
 
7.1%
J 8
 
7.1%
G 7
 
6.2%
E 6
 
5.3%
Y 6
 
5.3%
D 6
 
5.3%
W 6
 
5.3%
P 5
 
4.4%
Other values (11) 31
27.4%
Common
ValueCountFrequency (%)
306
21.9%
1 237
17.0%
2 236
16.9%
) 129
9.2%
( 129
9.2%
3 127
9.1%
4 72
 
5.2%
5 49
 
3.5%
6 34
 
2.4%
7 27
 
1.9%
Other values (5) 49
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15422
91.1%
ASCII 1508
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1606
 
10.4%
1584
 
10.3%
1583
 
10.3%
1565
 
10.1%
1538
 
10.0%
1535
 
10.0%
476
 
3.1%
270
 
1.8%
256
 
1.7%
204
 
1.3%
Other values (348) 4805
31.2%
ASCII
ValueCountFrequency (%)
306
20.3%
1 237
15.7%
2 236
15.6%
) 129
8.6%
( 129
8.6%
3 127
8.4%
4 72
 
4.8%
5 49
 
3.2%
6 34
 
2.3%
7 27
 
1.8%
Other values (26) 162
10.7%
Distinct1180
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-13T08:46:00.993783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length70
Mean length28.486043
Min length18

Characters and Unicode

Total characters52044
Distinct characters177
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique911 ?
Unique (%)49.9%

Sample

1st row경상북도 의성군 다인면 산내리 408 번지(우사위)
2nd row경상북도 의성군 다인면 산내리 408 번지(축사위)
3rd row경상북도 의성군 구천면 미천리 175-5 번지(우사위)
4th row경상북도 의성군 안평면 신안리 178 ,180번지(우사위)
5th row경상북도 의성군 안평면 신안리 178 ,180번지(우사위)
ValueCountFrequency (%)
경상북도 1825
 
15.5%
의성군 1825
 
15.5%
584
 
5.0%
다인면 374
 
3.2%
1호 227
 
1.9%
안계면 189
 
1.6%
181
 
1.5%
금성면 176
 
1.5%
비안면 174
 
1.5%
단촌면 164
 
1.4%
Other values (1550) 6047
51.4%
2023-12-13T08:46:01.454834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9940
19.1%
2085
 
4.0%
1 2060
 
4.0%
1946
 
3.7%
1905
 
3.7%
1880
 
3.6%
1867
 
3.6%
1861
 
3.6%
1847
 
3.5%
1835
 
3.5%
Other values (167) 24818
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29382
56.5%
Decimal Number 10428
 
20.0%
Space Separator 9940
 
19.1%
Other Punctuation 1194
 
2.3%
Dash Punctuation 847
 
1.6%
Open Punctuation 126
 
0.2%
Close Punctuation 126
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2085
 
7.1%
1946
 
6.6%
1905
 
6.5%
1880
 
6.4%
1867
 
6.4%
1861
 
6.3%
1847
 
6.3%
1835
 
6.2%
1833
 
6.2%
1829
 
6.2%
Other values (150) 10494
35.7%
Decimal Number
ValueCountFrequency (%)
1 2060
19.8%
2 1357
13.0%
3 1164
11.2%
5 990
9.5%
4 975
9.3%
6 931
8.9%
0 798
 
7.7%
7 784
 
7.5%
8 719
 
6.9%
9 650
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1193
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9940
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 847
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29382
56.5%
Common 22661
43.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2085
 
7.1%
1946
 
6.6%
1905
 
6.5%
1880
 
6.4%
1867
 
6.4%
1861
 
6.3%
1847
 
6.3%
1835
 
6.2%
1833
 
6.2%
1829
 
6.2%
Other values (150) 10494
35.7%
Common
ValueCountFrequency (%)
9940
43.9%
1 2060
 
9.1%
2 1357
 
6.0%
, 1193
 
5.3%
3 1164
 
5.1%
5 990
 
4.4%
4 975
 
4.3%
6 931
 
4.1%
- 847
 
3.7%
0 798
 
3.5%
Other values (6) 2406
 
10.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29382
56.5%
ASCII 22662
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9940
43.9%
1 2060
 
9.1%
2 1357
 
6.0%
, 1193
 
5.3%
3 1164
 
5.1%
5 990
 
4.4%
4 975
 
4.3%
6 931
 
4.1%
- 847
 
3.7%
0 798
 
3.5%
Other values (7) 2407
 
10.6%
Hangul
ValueCountFrequency (%)
2085
 
7.1%
1946
 
6.6%
1905
 
6.5%
1880
 
6.4%
1867
 
6.4%
1861
 
6.3%
1847
 
6.3%
1835
 
6.2%
1833
 
6.2%
1829
 
6.2%
Other values (150) 10494
35.7%

영업구분
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
사업개시
773 
인허가취소
437 
인허가
416 
공사진행
170 
폐업
 
25
Other values (3)
 
6

Length

Max length8
Median length4
Mean length3.9896004
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 773
42.3%
인허가취소 437
23.9%
인허가 416
22.8%
공사진행 170
 
9.3%
폐업 25
 
1.4%
합병말소 3
 
0.2%
업종변경등록말소 2
 
0.1%
타시군구이관 1
 
0.1%

Length

2023-12-13T08:46:01.607681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:46:01.748601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 773
42.3%
인허가취소 437
23.9%
인허가 416
22.8%
공사진행 170
 
9.3%
폐업 25
 
1.4%
합병말소 3
 
0.2%
업종변경등록말소 2
 
0.1%
타시군구이관 1
 
0.1%

원동력의종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
태양광
1822 
<NA>
 
2
풍력
 
1
바이오가스
 
1
지열
 
1

Length

Max length5
Median length3
Mean length3.0010947
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 1822
99.7%
<NA> 2
 
0.1%
풍력 1
 
0.1%
바이오가스 1
 
0.1%
지열 1
 
0.1%

Length

2023-12-13T08:46:01.879222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:46:01.999634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 1822
99.7%
na 2
 
0.1%
풍력 1
 
0.1%
바이오가스 1
 
0.1%
지열 1
 
0.1%

설비용량(KW)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct466
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean354.24648
Minimum9.2
Maximum66000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.2 KiB
2023-12-13T08:46:02.133348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.2
5-th percentile50.4
Q198.55
median99.45
Q3399.93
95-th percentile998.4
Maximum66000
Range65990.8
Interquartile range (IQR)301.38

Descriptive statistics

Standard deviation1960.9547
Coefficient of variation (CV)5.5355659
Kurtosis912.78526
Mean354.24648
Median Absolute Deviation (MAD)1.53
Skewness29.475036
Sum647208.32
Variance3845343.4
MonotonicityNot monotonic
2023-12-13T08:46:02.560573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.36 146
 
8.0%
99.0 125
 
6.8%
99.9 65
 
3.6%
99.6 56
 
3.1%
98.55 55
 
3.0%
97.92 51
 
2.8%
997.92 51
 
2.8%
99.28 47
 
2.6%
99.75 43
 
2.4%
99.45 39
 
2.1%
Other values (456) 1149
62.9%
ValueCountFrequency (%)
9.2 1
0.1%
9.92 1
0.1%
11.04 1
0.1%
14.28 1
0.1%
14.94 1
0.1%
14.96 1
0.1%
15.6 1
0.1%
17.28 2
0.1%
17.94 1
0.1%
18.69 1
0.1%
ValueCountFrequency (%)
66000.0 1
 
0.1%
50000.0 1
 
0.1%
3000.0 1
 
0.1%
2998.8 1
 
0.1%
2715.3 1
 
0.1%
2009.7 1
 
0.1%
2000.0 3
0.2%
1998.36 1
 
0.1%
1995.84 1
 
0.1%
1993.92 1
 
0.1%

공급전압(V)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
380
1471 
22,900
188 
22900
 
101
220/380
 
38
220
 
9
Other values (11)
 
20

Length

Max length11
Median length3
Mean length3.5413246
Min length1

Unique

Unique9 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
380 1471
80.5%
22,900 188
 
10.3%
22900 101
 
5.5%
220/380 38
 
2.1%
220 9
 
0.5%
380/220 6
 
0.3%
220V/380 5
 
0.3%
60 1
 
0.1%
2290 1
 
0.1%
1650 1
 
0.1%
Other values (6) 6
 
0.3%

Length

2023-12-13T08:46:02.681774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
380 1471
80.5%
22,900 188
 
10.3%
22900 101
 
5.5%
220/380 38
 
2.1%
220 9
 
0.5%
380/220 6
 
0.3%
220v/380 5
 
0.3%
60 1
 
0.1%
2290 1
 
0.1%
1650 1
 
0.1%
Other values (6) 6
 
0.3%

주파수(Hz)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
60
1824 
380
 
1
925
 
1
0
 
1

Length

Max length3
Median length2
Mean length2.0005473
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
60 1824
99.8%
380 1
 
0.1%
925 1
 
0.1%
0 1
 
0.1%

Length

2023-12-13T08:46:02.800739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:46:02.911971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1824
99.8%
380 1
 
0.1%
925 1
 
0.1%
0 1
 
0.1%
Distinct630
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2006-04-28 00:00:00
Maximum2022-03-08 00:00:00
2023-12-13T08:46:03.004809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:46:03.124277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2022-03-15 00:00:00
Maximum2022-03-15 00:00:00
2023-12-13T08:46:03.215204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:46:03.294682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:45:59.532856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:59.381417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:59.613948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:59.458814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:46:03.354917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)
순번1.0000.4810.0120.0050.3660.003
영업구분0.4811.0000.0000.0000.0740.000
원동력의종류0.0120.0001.0000.6760.8590.000
설비용량(KW)0.0050.0000.6761.0001.0000.000
공급전압(V)0.3660.0740.8591.0001.0000.858
주파수(Hz)0.0030.0000.0000.0000.8581.000
2023-12-13T08:46:03.448244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
원동력의종류주파수(Hz)영업구분공급전압(V)
원동력의종류1.0000.0000.0000.572
주파수(Hz)0.0001.0000.0000.571
영업구분0.0000.0001.0000.026
공급전압(V)0.5720.5710.0261.000
2023-12-13T08:46:03.530660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)영업구분원동력의종류공급전압(V)주파수(Hz)
순번1.0000.1760.2530.0070.1520.001
설비용량(KW)0.1761.0000.0000.7060.9960.000
영업구분0.2530.0001.0000.0000.0260.000
원동력의종류0.0070.7060.0001.0000.5720.000
공급전압(V)0.1520.9960.0260.5721.0000.571
주파수(Hz)0.0010.0000.0000.0000.5711.000

Missing values

2023-12-13T08:45:59.712737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:45:59.859684image/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

순번상호설치장소소재지영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자기준일자
01월천태양광발전소경상북도 의성군 다인면 산내리 408 번지(우사위)인허가태양광92.16380602022-03-082022-03-15
12신축태양광발전소경상북도 의성군 다인면 산내리 408 번지(축사위)인허가태양광92.16380602022-03-082022-03-15
23진성태양광발전소경상북도 의성군 구천면 미천리 175-5 번지(우사위)인허가태양광99.84380602022-03-082022-03-15
34이레11호태양광발전소경상북도 의성군 안평면 신안리 178 ,180번지(우사위)인허가태양광49.88380602022-03-032022-03-15
45이레9호태양광발전소경상북도 의성군 안평면 신안리 178 ,180번지(우사위)인허가태양광95.7380602022-03-032022-03-15
56이레4호태양광발전소경상북도 의성군 안평면 신안리 214 (우사위,주1)인허가태양광95.12380602022-03-032022-03-15
67이레5호태양광발전소경상북도 의성군 안평면 신안리 214 (우사위,주1)인허가태양광95.12380602022-03-032022-03-15
78이레6호태양광발전소경상북도 의성군 안평면 신안리 214 (우사위,주1,주2)인허가태양광95.12380602022-03-032022-03-15
89이레7호태양광발전소경상북도 의성군 안평면 신안리 214 (우사위,주2)인허가태양광95.12380602022-03-032022-03-15
910이레8호태양광발전소경상북도 의성군 안평면 신안리 214 (우사위,주2)인허가태양광95.12380602022-03-032022-03-15
순번상호설치장소소재지영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자기준일자
18171818(주)금성태양광발전소경상북도 의성군 금성면 하리 산 38번지인허가취소태양광1000.0380602007-10-172022-03-15
18181819영남태양광발전소경상북도 의성군 신평면 용봉리 산 28번지인허가취소태양광999.9380602007-10-082022-03-15
18191820명원솔라에너지태양광발전소경상북도 의성군 안계면 양곡리 967번지사업개시태양광199.13380602007-09-182022-03-15
18201821에스에스솔라파크경상북도 의성군 안계면 시안리 660번지 1호사업개시태양광490.0380602007-07-312022-03-15
18211822유진에너지태양광발전소경상북도 의성군 금성면 하리 98번지 12호사업개시태양광996.84380602007-09-182022-03-15
18221823의성쏠라파크태양광발전소경상북도 의성군 금성면 학미리 산 60번지사업개시태양광1500.0380602007-07-312022-03-15
18231824신평태양광발전소경상북도 의성군 신평면 용봉리 산 28번지인허가취소태양광500.0380602007-01-292022-03-15
18241825보명태양광발전소경상북도 의성군 점곡면 의성길안로 1192-75사업개시태양광198.0380602007-01-082022-03-15
18251826금성태양광발전소경상북도 의성군 금성면 학미리 산 60번지인허가취소<NA>1500.0380602006-04-282022-03-15
18261827영남방송2호태양광발전소경상북도 의성군 비안면 동부안길 31인허가태양광34.56380602013-06-142022-03-15