Overview

Dataset statistics

Number of variables10
Number of observations2570
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory208.4 KiB
Average record size in memory83.1 B

Variable types

Numeric2
Text2
Categorical4
DateTime2

Dataset

Description경상북도 김천시 태양광 발전 허가 현황으로 상호명, 설치장소소재지, 영업구분, 설비용량(KW), 공급전압(V), 주파수(Hz), 허가일자 정보를 제공합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15048670/fileData.do

Alerts

주파수Hz has constant value ""Constant
데이터기준일자 has constant value ""Constant
원동력의종류 is highly imbalanced (98.7%)Imbalance
공급전압V is highly imbalanced (85.2%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:18:58.943110
Analysis finished2023-12-12 20:19:00.387383
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2570
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1285.5
Minimum1
Maximum2570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2023-12-13T05:19:00.479901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile129.45
Q1643.25
median1285.5
Q31927.75
95-th percentile2441.55
Maximum2570
Range2569
Interquartile range (IQR)1284.5

Descriptive statistics

Standard deviation742.03942
Coefficient of variation (CV)0.57723798
Kurtosis-1.2
Mean1285.5
Median Absolute Deviation (MAD)642.5
Skewness0
Sum3303735
Variance550622.5
MonotonicityStrictly increasing
2023-12-13T05:19:00.636555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1768 1
 
< 0.1%
1710 1
 
< 0.1%
1711 1
 
< 0.1%
1712 1
 
< 0.1%
1713 1
 
< 0.1%
1714 1
 
< 0.1%
1715 1
 
< 0.1%
1716 1
 
< 0.1%
1717 1
 
< 0.1%
Other values (2560) 2560
99.6%
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 (%)
2570 1
< 0.1%
2569 1
< 0.1%
2568 1
< 0.1%
2567 1
< 0.1%
2566 1
< 0.1%
2565 1
< 0.1%
2564 1
< 0.1%
2563 1
< 0.1%
2562 1
< 0.1%
2561 1
< 0.1%

상호
Text

Distinct2473
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-13T05:19:00.971738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length9.9610895
Min length2

Characters and Unicode

Total characters25600
Distinct characters435
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

Unique2390 ?
Unique (%)93.0%

Sample

1st row황계2호 태양광발전소
2nd row황계1호 태양광발전소
3rd row하늘터6호 태양광발전소
4th row하늘터5호 태양광발전소
5th row하늘터4호 태양광발전소
ValueCountFrequency (%)
태양광발전소 1459
34.8%
발전소 28
 
0.7%
주식회사 14
 
0.3%
1호 8
 
0.2%
2호 8
 
0.2%
에너원 8
 
0.2%
김천 7
 
0.2%
주)알앤에이대경 7
 
0.2%
제1발전소 6
 
0.1%
제2 6
 
0.1%
Other values (2484) 2646
63.0%
2023-12-13T05:19:01.517440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2374
 
9.3%
2336
 
9.1%
2331
 
9.1%
2224
 
8.7%
2214
 
8.6%
2186
 
8.5%
1627
 
6.4%
1174
 
4.6%
1 550
 
2.1%
2 494
 
1.9%
Other values (425) 8090
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21824
85.2%
Decimal Number 1699
 
6.6%
Space Separator 1627
 
6.4%
Uppercase Letter 175
 
0.7%
Open Punctuation 117
 
0.5%
Close Punctuation 117
 
0.5%
Lowercase Letter 17
 
0.1%
Dash Punctuation 14
 
0.1%
Other Punctuation 6
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2374
 
10.9%
2336
 
10.7%
2331
 
10.7%
2224
 
10.2%
2214
 
10.1%
2186
 
10.0%
1174
 
5.4%
211
 
1.0%
180
 
0.8%
168
 
0.8%
Other values (376) 6426
29.4%
Uppercase Letter
ValueCountFrequency (%)
S 29
16.6%
K 27
15.4%
J 20
11.4%
H 15
8.6%
M 13
 
7.4%
C 10
 
5.7%
E 9
 
5.1%
D 8
 
4.6%
Y 5
 
2.9%
P 5
 
2.9%
Other values (11) 34
19.4%
Lowercase Letter
ValueCountFrequency (%)
r 3
17.6%
m 3
17.6%
i 2
11.8%
o 2
11.8%
a 1
 
5.9%
l 1
 
5.9%
s 1
 
5.9%
k 1
 
5.9%
c 1
 
5.9%
p 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 550
32.4%
2 494
29.1%
3 243
14.3%
4 136
 
8.0%
5 88
 
5.2%
6 55
 
3.2%
7 40
 
2.4%
0 36
 
2.1%
8 29
 
1.7%
9 28
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
, 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1627
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21828
85.3%
Common 3580
 
14.0%
Latin 192
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2374
 
10.9%
2336
 
10.7%
2331
 
10.7%
2224
 
10.2%
2214
 
10.1%
2186
 
10.0%
1174
 
5.4%
211
 
1.0%
180
 
0.8%
168
 
0.8%
Other values (377) 6430
29.5%
Latin
ValueCountFrequency (%)
S 29
15.1%
K 27
14.1%
J 20
 
10.4%
H 15
 
7.8%
M 13
 
6.8%
C 10
 
5.2%
E 9
 
4.7%
D 8
 
4.2%
Y 5
 
2.6%
P 5
 
2.6%
Other values (22) 51
26.6%
Common
ValueCountFrequency (%)
1627
45.4%
1 550
 
15.4%
2 494
 
13.8%
3 243
 
6.8%
4 136
 
3.8%
( 117
 
3.3%
) 117
 
3.3%
5 88
 
2.5%
6 55
 
1.5%
7 40
 
1.1%
Other values (6) 113
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21824
85.2%
ASCII 3772
 
14.7%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2374
 
10.9%
2336
 
10.7%
2331
 
10.7%
2224
 
10.2%
2214
 
10.1%
2186
 
10.0%
1174
 
5.4%
211
 
1.0%
180
 
0.8%
168
 
0.8%
Other values (376) 6426
29.4%
ASCII
ValueCountFrequency (%)
1627
43.1%
1 550
 
14.6%
2 494
 
13.1%
3 243
 
6.4%
4 136
 
3.6%
( 117
 
3.1%
) 117
 
3.1%
5 88
 
2.3%
6 55
 
1.5%
7 40
 
1.1%
Other values (38) 305
 
8.1%
None
ValueCountFrequency (%)
4
100.0%
Distinct1996
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-13T05:19:01.859158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length71
Mean length29.528405
Min length17

Characters and Unicode

Total characters75888
Distinct characters191
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1704 ?
Unique (%)66.3%

Sample

1st row경상북도 김천시 개령면 황계리 925-1 (건물 위)
2nd row경상북도 김천시 개령면 황계리 925-1 (건물 위)
3rd row경상북도 김천시 감천면 무안리 224 ,53-2
4th row경상북도 김천시 감천면 무안리 224 ,53-2
5th row경상북도 김천시 감천면 무안리 224
ValueCountFrequency (%)
경상북도 2570
 
16.7%
김천시 2563
 
16.7%
아포읍 327
 
2.1%
감문면 281
 
1.8%
구성면 247
 
1.6%
조마면 243
 
1.6%
240
 
1.6%
건물위 198
 
1.3%
어모면 186
 
1.2%
개령면 182
 
1.2%
Other values (2437) 8335
54.2%
2023-12-13T05:19:02.438272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12803
 
16.9%
1 3432
 
4.5%
2874
 
3.8%
- 2711
 
3.6%
2628
 
3.5%
2615
 
3.4%
2577
 
3.4%
2573
 
3.4%
2572
 
3.4%
2572
 
3.4%
Other values (181) 38531
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39424
52.0%
Decimal Number 16302
21.5%
Space Separator 12803
 
16.9%
Dash Punctuation 2711
 
3.6%
Other Punctuation 2203
 
2.9%
Open Punctuation 1141
 
1.5%
Close Punctuation 1138
 
1.5%
Uppercase Letter 162
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2874
 
7.3%
2628
 
6.7%
2615
 
6.6%
2577
 
6.5%
2573
 
6.5%
2572
 
6.5%
2572
 
6.5%
2365
 
6.0%
2092
 
5.3%
1115
 
2.8%
Other values (156) 15441
39.2%
Decimal Number
ValueCountFrequency (%)
1 3432
21.1%
2 2039
12.5%
3 1673
10.3%
4 1654
10.1%
5 1373
8.4%
6 1351
 
8.3%
7 1333
 
8.2%
8 1218
 
7.5%
0 1133
 
7.0%
9 1096
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 62
38.3%
B 44
27.2%
C 26
16.0%
D 12
 
7.4%
E 7
 
4.3%
F 4
 
2.5%
G 3
 
1.9%
I 2
 
1.2%
H 2
 
1.2%
Space Separator
ValueCountFrequency (%)
12803
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2711
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1138
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39424
52.0%
Common 36302
47.8%
Latin 162
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2874
 
7.3%
2628
 
6.7%
2615
 
6.6%
2577
 
6.5%
2573
 
6.5%
2572
 
6.5%
2572
 
6.5%
2365
 
6.0%
2092
 
5.3%
1115
 
2.8%
Other values (156) 15441
39.2%
Common
ValueCountFrequency (%)
12803
35.3%
1 3432
 
9.5%
- 2711
 
7.5%
, 2203
 
6.1%
2 2039
 
5.6%
3 1673
 
4.6%
4 1654
 
4.6%
5 1373
 
3.8%
6 1351
 
3.7%
7 1333
 
3.7%
Other values (6) 5730
15.8%
Latin
ValueCountFrequency (%)
A 62
38.3%
B 44
27.2%
C 26
16.0%
D 12
 
7.4%
E 7
 
4.3%
F 4
 
2.5%
G 3
 
1.9%
I 2
 
1.2%
H 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39424
52.0%
ASCII 36464
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12803
35.1%
1 3432
 
9.4%
- 2711
 
7.4%
, 2203
 
6.0%
2 2039
 
5.6%
3 1673
 
4.6%
4 1654
 
4.5%
5 1373
 
3.8%
6 1351
 
3.7%
7 1333
 
3.7%
Other values (15) 5892
16.2%
Hangul
ValueCountFrequency (%)
2874
 
7.3%
2628
 
6.7%
2615
 
6.6%
2577
 
6.5%
2573
 
6.5%
2572
 
6.5%
2572
 
6.5%
2365
 
6.0%
2092
 
5.3%
1115
 
2.8%
Other values (156) 15441
39.2%

영업구분
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
사업개시
1444 
인허가취소
490 
인허가
463 
공사진행
173 

Length

Max length5
Median length4
Mean length4.0105058
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 1444
56.2%
인허가취소 490
 
19.1%
인허가 463
 
18.0%
공사진행 173
 
6.7%

Length

2023-12-13T05:19:02.615116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:02.756096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 1444
56.2%
인허가취소 490
 
19.1%
인허가 463
 
18.0%
공사진행 173
 
6.7%

원동력의종류
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
태양광
2564 
<NA>
 
4
화력
 
1
소수력
 
1

Length

Max length4
Median length3
Mean length3.0011673
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 2564
99.8%
<NA> 4
 
0.2%
화력 1
 
< 0.1%
소수력 1
 
< 0.1%

Length

2023-12-13T05:19:02.917933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:03.057330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 2564
99.8%
na 4
 
0.2%
화력 1
 
< 0.1%
소수력 1
 
< 0.1%

설비용량KW
Real number (ℝ)

Distinct712
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.833
Minimum3
Maximum1500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2023-12-13T05:19:03.187174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile28.6095
Q191.74
median99.2
Q399.84
95-th percentile797.8275
Maximum1500
Range1497
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation226.03375
Coefficient of variation (CV)1.4230907
Kurtosis10.885211
Mean158.833
Median Absolute Deviation (MAD)1.02
Skewness3.3046268
Sum408200.8
Variance51091.257
MonotonicityNot monotonic
2023-12-13T05:19:03.749778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 194
 
7.5%
99.96 112
 
4.4%
99.9 84
 
3.3%
99.76 76
 
3.0%
99.45 75
 
2.9%
99.51 72
 
2.8%
99.6 72
 
2.8%
97.2 53
 
2.1%
99.84 49
 
1.9%
99.36 45
 
1.8%
Other values (702) 1738
67.6%
ValueCountFrequency (%)
3.0 1
 
< 0.1%
9.92 3
0.1%
11.1 3
0.1%
12.76 1
 
< 0.1%
14.22 1
 
< 0.1%
14.85 1
 
< 0.1%
14.88 1
 
< 0.1%
15.0 1
 
< 0.1%
15.02 3
0.1%
15.08 1
 
< 0.1%
ValueCountFrequency (%)
1500.0 2
0.1%
1497.6 1
< 0.1%
1495.04 1
< 0.1%
1491.84 1
< 0.1%
1489.86 1
< 0.1%
1488.0 1
< 0.1%
1469.0 1
< 0.1%
1468.8 2
0.1%
1439.1 1
< 0.1%
1201.2 1
< 0.1%

공급전압V
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
380
2404 
22900
 
134
220
 
16
220/380
 
6
22,900
 
6
Other values (2)
 
4

Length

Max length7
Median length3
Mean length3.1252918
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
380 2404
93.5%
22900 134
 
5.2%
220 16
 
0.6%
220/380 6
 
0.2%
22,900 6
 
0.2%
380/220 3
 
0.1%
390 1
 
< 0.1%

Length

2023-12-13T05:19:03.919617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:04.078970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 2404
93.5%
22900 134
 
5.2%
220 16
 
0.6%
220/380 6
 
0.2%
22,900 6
 
0.2%
380/220 3
 
0.1%
390 1
 
< 0.1%

주파수Hz
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
60
2570 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
60 2570
100.0%

Length

2023-12-13T05:19:04.234804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:04.358852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 2570
100.0%
Distinct490
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum2008-01-23 00:00:00
Maximum2023-08-21 00:00:00
2023-12-13T05:19:04.541960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:19:04.750676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum2023-09-04 00:00:00
Maximum2023-09-04 00:00:00
2023-12-13T05:19:04.901110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:19:05.012976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:18:59.914686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:59.718806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:19:00.012595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:59.818396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:19:05.112260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업구분원동력의종류설비용량KW공급전압V
순번1.0000.6350.0130.4030.265
영업구분0.6351.0000.0000.1850.125
원동력의종류0.0130.0001.0000.0710.052
설비용량KW0.4030.1850.0711.0000.631
공급전압V0.2650.1250.0520.6311.000
2023-12-13T05:19:05.229279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급전압V영업구분원동력의종류
공급전압V1.0000.0860.035
영업구분0.0861.0000.000
원동력의종류0.0350.0001.000
2023-12-13T05:19:05.318908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량KW영업구분원동력의종류공급전압V
순번1.0000.1440.4360.0080.137
설비용량KW0.1441.0000.1110.0420.384
영업구분0.4360.1111.0000.0000.086
원동력의종류0.0080.0420.0001.0000.035
공급전압V0.1370.3840.0860.0351.000

Missing values

2023-12-13T05:19:00.157371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:19:00.311380image/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

순번상호설치장소소재지영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자데이터기준일자
01황계2호 태양광발전소경상북도 김천시 개령면 황계리 925-1 (건물 위)인허가태양광99.5380602023-08-212023-09-04
12황계1호 태양광발전소경상북도 김천시 개령면 황계리 925-1 (건물 위)인허가태양광99.5380602023-08-212023-09-04
23하늘터6호 태양광발전소경상북도 김천시 감천면 무안리 224 ,53-2인허가태양광99.37380602023-08-212023-09-04
34하늘터5호 태양광발전소경상북도 김천시 감천면 무안리 224 ,53-2인허가태양광99.37380602023-08-212023-09-04
45하늘터4호 태양광발전소경상북도 김천시 감천면 무안리 224인허가태양광99.37380602023-08-212023-09-04
56황정 태양광발전소경상북도 김천시 증산면 황정리 403-2 ,394,394-1,403-3,404-1(건물-가동)인허가태양광99.96380602023-08-212023-09-04
67가람2호 태양광발전소경상북도 김천시 어모면 남산리 2049 (건물-A동)인허가태양광49.2380602023-08-212023-09-04
78가람1호 태양광발전소경상북도 김천시 어모면 남산리 2049 (건물-A,E동)인허가태양광99.63380602023-08-212023-09-04
89곰발전소경상북도 김천시 감문면 문무리 1060 ,23(건물-3,7,11동)인허가태양광95.2380602023-08-212023-09-04
910소원2호 태양광발전소경상북도 김천시 개령면 황계리 929-1 (건물-가동)인허가태양광49.0380602023-08-212023-09-04
순번상호설치장소소재지영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자데이터기준일자
25602561일신에너지경상북도 김천시 봉산면 신암리 662-2 (건물위-2동)사업개시태양광22.0380602012-02-032023-09-04
25612562솔라리온발전소경상북도 김천시 조마면 장암리 88-8 , 88-9(건물위)사업개시태양광100.0380602011-12-052023-09-04
25622563사랑발전소경상북도 김천시 조마면 장암리 88-8 (건물위)사업개시태양광100.0380602011-12-052023-09-04
25632564행복절전소경상북도 김천시 조마면 장암리 88-9 (건물위)사업개시태양광100.0380602011-12-052023-09-04
25642565제너럴쏠라경상북도 김천시 조마면 장암리 88-8 (건물위)사업개시태양광100.0380602011-12-052023-09-04
25652566부항댐 소수력발전소경상북도 김천시 지례면 도곡리 산 45-1사업개시소수력600.022900602009-04-272023-09-04
25662567신생에너지경상북도 김천시 대덕면 화전리 244번지 2호사업개시태양광836.022900602009-02-232023-09-04
25672568대전사태양광발전소경상북도 김천시 영남대로 1430(부곡동)인허가취소태양광3.0380602008-07-032023-09-04
25682569덕천태양광발전소경상북도 김천시 봉산면 덕천2길 35인허가취소태양광199.0380602008-01-232023-09-04
25692570지디김천 태양광발전소경상북도 김천시 감문면 도명리 산 10번지 외2필지사업개시태양광200.0380602008-06-272023-09-04