Overview

Dataset statistics

Number of variables7
Number of observations1521
Missing cells1428
Missing cells (%)13.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.8 KiB
Average record size in memory57.1 B

Variable types

Text4
Numeric1
DateTime2

Dataset

Description경주시에서 관리하는 신재생에너지 전기사업 허가 현황입니다.(발전소명, 설치장소, 용량 등의 정보가 있으며 경주시청 경제정책과에서 관리하고있음)
Author경상북도 경주시
URLhttps://www.data.go.kr/data/15034039/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
공사계획인가일자 has 788 (51.8%) missing valuesMissing
사업개시일자 has 640 (42.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 20:39:41.228260
Analysis finished2024-03-14 20:39:43.099204
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Text

Distinct1489
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:39:43.924080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length10.798817
Min length2

Characters and Unicode

Total characters16425
Distinct characters419
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

Unique1460 ?
Unique (%)96.0%

Sample

1st row주식회사 디투제이 경주지점
2nd row경주단구리태양광발전소
3rd row삼성솔라파크
4th row대성솔라파크
5th row코오롱마우나오션
ValueCountFrequency (%)
태양광발전소 890
33.3%
햇살그린발전소 43
 
1.6%
발전소 28
 
1.0%
경북그린뉴딜발전소 19
 
0.7%
경주 13
 
0.5%
2호 11
 
0.4%
1호 11
 
0.4%
유에너지 6
 
0.2%
대태연 5
 
0.2%
경주2호 5
 
0.2%
Other values (1525) 1643
61.4%
2024-03-15T05:39:45.660127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1428
 
8.7%
소 1418
 
8.6%
발 1410
 
8.6%
광 1328
 
8.1%
태 1319
 
8.0%
양 1318
 
8.0%
1158
 
7.1%
호 566
 
3.4%
1 355
 
2.2%
2 289
 
1.8%
Other values (409) 5836
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13604
82.8%
Decimal Number 1224
 
7.5%
Space Separator 1158
 
7.1%
Uppercase Letter 159
 
1.0%
Dash Punctuation 138
 
0.8%
Lowercase Letter 81
 
0.5%
Other Symbol 26
 
0.2%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1428
 
10.5%
소 1418
 
10.4%
발 1410
 
10.4%
광 1328
 
9.8%
태 1319
 
9.7%
양 1318
 
9.7%
호 566
 
4.2%
경 185
 
1.4%
라 157
 
1.2%
지 143
 
1.1%
Other values (361) 4332
31.8%
Uppercase Letter
ValueCountFrequency (%)
S 20
12.6%
E 19
11.9%
F 17
10.7%
K 13
 
8.2%
J 11
 
6.9%
H 10
 
6.3%
G 9
 
5.7%
C 8
 
5.0%
N 7
 
4.4%
R 7
 
4.4%
Other values (12) 38
23.9%
Decimal Number
ValueCountFrequency (%)
1 355
29.0%
2 289
23.6%
3 167
13.6%
5 101
 
8.3%
4 99
 
8.1%
0 69
 
5.6%
6 57
 
4.7%
9 31
 
2.5%
7 28
 
2.3%
8 28
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
19.8%
k 16
19.8%
p 15
18.5%
o 15
18.5%
c 15
18.5%
b 1
 
1.2%
m 1
 
1.2%
i 1
 
1.2%
h 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
1158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13630
83.0%
Common 2555
 
15.6%
Latin 240
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1428
 
10.5%
소 1418
 
10.4%
발 1410
 
10.3%
광 1328
 
9.7%
태 1319
 
9.7%
양 1318
 
9.7%
호 566
 
4.2%
경 185
 
1.4%
라 157
 
1.2%
지 143
 
1.0%
Other values (362) 4358
32.0%
Latin
ValueCountFrequency (%)
S 20
 
8.3%
E 19
 
7.9%
F 17
 
7.1%
e 16
 
6.7%
k 16
 
6.7%
p 15
 
6.2%
o 15
 
6.2%
c 15
 
6.2%
K 13
 
5.4%
J 11
 
4.6%
Other values (21) 83
34.6%
Common
ValueCountFrequency (%)
1158
45.3%
1 355
 
13.9%
2 289
 
11.3%
3 167
 
6.5%
- 138
 
5.4%
5 101
 
4.0%
4 99
 
3.9%
0 69
 
2.7%
6 57
 
2.2%
9 31
 
1.2%
Other values (6) 91
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13604
82.8%
ASCII 2795
 
17.0%
None 26
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1428
 
10.5%
소 1418
 
10.4%
발 1410
 
10.4%
광 1328
 
9.8%
태 1319
 
9.7%
양 1318
 
9.7%
호 566
 
4.2%
경 185
 
1.4%
라 157
 
1.2%
지 143
 
1.1%
Other values (361) 4332
31.8%
ASCII
ValueCountFrequency (%)
1158
41.4%
1 355
 
12.7%
2 289
 
10.3%
3 167
 
6.0%
- 138
 
4.9%
5 101
 
3.6%
4 99
 
3.5%
0 69
 
2.5%
6 57
 
2.0%
9 31
 
1.1%
Other values (37) 331
 
11.8%
None
ValueCountFrequency (%)
㈜ 26
100.0%

설치장소
Text

Distinct1008
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2024-03-15T05:39:47.001645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length51
Mean length20.501644
Min length10

Characters and Unicode

Total characters31183
Distinct characters205
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

Unique783 ?
Unique (%)51.5%

Sample

1st row경주시 서면 아화리 712-6
2nd row경주시 강동면 단구리 314외2필
3rd row경주시 서면 심곡리 산96
4th row경주시 서면 심곡리 943-2
5th row경주시 양남면 신대리 산322외 2필지
ValueCountFrequency (%)
경주시 1502
 
21.7%
외동읍 336
 
4.8%
서면 227
 
3.3%
안강읍 214
 
3.1%
경상북도 207
 
3.0%
강동면 195
 
2.8%
천북면 111
 
1.6%
사라리 103
 
1.5%
산1 87
 
1.3%
건천읍 87
 
1.3%
Other values (1468) 3861
55.7%
2024-03-15T05:39:48.762578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5412
 
17.4%
1 1858
 
6.0%
경 1724
 
5.5%
시 1513
 
4.9%
주 1506
 
4.8%
- 1215
 
3.9%
리 1169
 
3.7%
2 1038
 
3.3%
면 816
 
2.6%
3 788
 
2.5%
Other values (195) 14144
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15732
50.5%
Decimal Number 7944
25.5%
Space Separator 5412
 
17.4%
Dash Punctuation 1215
 
3.9%
Other Punctuation 569
 
1.8%
Close Punctuation 132
 
0.4%
Open Punctuation 132
 
0.4%
Uppercase Letter 45
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1724
 
11.0%
시 1513
 
9.6%
주 1506
 
9.6%
리 1169
 
7.4%
면 816
 
5.2%
동 733
 
4.7%
읍 648
 
4.1%
산 497
 
3.2%
외 444
 
2.8%
강 440
 
2.8%
Other values (165) 6242
39.7%
Uppercase Letter
ValueCountFrequency (%)
B 16
35.6%
L 9
20.0%
A 6
 
13.3%
C 3
 
6.7%
H 3
 
6.7%
M 2
 
4.4%
I 2
 
4.4%
T 1
 
2.2%
K 1
 
2.2%
D 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 1858
23.4%
2 1038
13.1%
3 788
9.9%
6 700
 
8.8%
7 656
 
8.3%
8 654
 
8.2%
5 653
 
8.2%
4 568
 
7.2%
0 517
 
6.5%
9 512
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 564
99.1%
. 4
 
0.7%
: 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
5412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15732
50.5%
Common 15404
49.4%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1724
 
11.0%
시 1513
 
9.6%
주 1506
 
9.6%
리 1169
 
7.4%
면 816
 
5.2%
동 733
 
4.7%
읍 648
 
4.1%
산 497
 
3.2%
외 444
 
2.8%
강 440
 
2.8%
Other values (165) 6242
39.7%
Common
ValueCountFrequency (%)
5412
35.1%
1 1858
 
12.1%
- 1215
 
7.9%
2 1038
 
6.7%
3 788
 
5.1%
6 700
 
4.5%
7 656
 
4.3%
8 654
 
4.2%
5 653
 
4.2%
4 568
 
3.7%
Other values (7) 1862
 
12.1%
Latin
ValueCountFrequency (%)
B 16
34.0%
L 9
19.1%
A 6
 
12.8%
C 3
 
6.4%
H 3
 
6.4%
M 2
 
4.3%
I 2
 
4.3%
T 1
 
2.1%
h 1
 
2.1%
e 1
 
2.1%
Other values (3) 3
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15732
50.5%
ASCII 15451
49.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5412
35.0%
1 1858
 
12.0%
- 1215
 
7.9%
2 1038
 
6.7%
3 788
 
5.1%
6 700
 
4.5%
7 656
 
4.2%
8 654
 
4.2%
5 653
 
4.2%
4 568
 
3.7%
Other values (20) 1909
 
12.4%
Hangul
ValueCountFrequency (%)
경 1724
 
11.0%
시 1513
 
9.6%
주 1506
 
9.6%
리 1169
 
7.4%
면 816
 
5.2%
동 733
 
4.7%
읍 648
 
4.1%
산 497
 
3.2%
외 444
 
2.8%
강 440
 
2.8%
Other values (165) 6242
39.7%

용량
Real number (ℝ)

Distinct625
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.80961
Minimum8.88
Maximum1500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2024-03-15T05:39:49.170491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.88
5-th percentile28.56
Q193.61
median99.37
Q399.96
95-th percentile499.95
Maximum1500
Range1491.12
Interquartile range (IQR)6.35

Descriptive statistics

Standard deviation197.58856
Coefficient of variation (CV)1.2287112
Kurtosis12.271794
Mean160.80961
Median Absolute Deviation (MAD)1.96
Skewness3.3013509
Sum244591.41
Variance39041.238
MonotonicityNot monotonic
2024-03-15T05:39:49.623014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.36 115
 
7.6%
99.96 89
 
5.9%
99.0 66
 
4.3%
99.44 49
 
3.2%
99.6 43
 
2.8%
99.84 35
 
2.3%
98.28 29
 
1.9%
99.28 29
 
1.9%
91.14 27
 
1.8%
99.64 26
 
1.7%
Other values (615) 1013
66.6%
ValueCountFrequency (%)
8.88 1
0.1%
9.96 1
0.1%
10.0 1
0.1%
10.72 1
0.1%
12.6 1
0.1%
12.8 1
0.1%
13.8 1
0.1%
13.92 1
0.1%
14.28 1
0.1%
14.94 1
0.1%
ValueCountFrequency (%)
1500.0 1
0.1%
1499.88 1
0.1%
1490.0 1
0.1%
1406.4 1
0.1%
1295.28 1
0.1%
1244.97 1
0.1%
1181.7 1
0.1%
1005.75 1
0.1%
1000.0 2
0.1%
999.68 1
0.1%

허가일자
Date

Distinct439
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum2005-05-04 00:00:00
Maximum2023-12-28 00:00:00
2024-03-15T05:39:49.984116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:39:50.234831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사계획인가일자
Text

MISSING 

Distinct333
Distinct (%)45.4%
Missing788
Missing (%)51.8%
Memory size12.0 KiB
2024-03-15T05:39:51.337037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.994543
Min length6

Characters and Unicode

Total characters7326
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)25.6%

Sample

1st row2013-07-10
2nd row2013-06-20
3rd row2013-04-29
4th row2014-02-06
5th row2013-06-19
ValueCountFrequency (%)
2022-02-17 27
 
3.7%
2020-01-28 23
 
3.1%
2023-04-24 20
 
2.7%
2021-04-23 13
 
1.8%
2023-09-06 10
 
1.4%
2020-06-22 8
 
1.1%
2021-05-06 8
 
1.1%
2020-08-20 7
 
1.0%
2022-04-15 7
 
1.0%
2019-04-25 7
 
1.0%
Other values (323) 603
82.3%
2024-03-15T05:39:52.905674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1893
25.8%
0 1700
23.2%
- 1455
19.9%
1 936
12.8%
3 329
 
4.5%
7 188
 
2.6%
9 184
 
2.5%
8 175
 
2.4%
4 173
 
2.4%
6 151
 
2.1%
Other values (5) 142
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5858
80.0%
Dash Punctuation 1455
 
19.9%
Other Punctuation 10
 
0.1%
Lowercase Letter 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1893
32.3%
0 1700
29.0%
1 936
16.0%
3 329
 
5.6%
7 188
 
3.2%
9 184
 
3.1%
8 175
 
3.0%
4 173
 
3.0%
6 151
 
2.6%
5 129
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
v 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1455
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7323
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1893
25.9%
0 1700
23.2%
- 1455
19.9%
1 936
12.8%
3 329
 
4.5%
7 188
 
2.6%
9 184
 
2.5%
8 175
 
2.4%
4 173
 
2.4%
6 151
 
2.1%
Other values (2) 139
 
1.9%
Latin
ValueCountFrequency (%)
N 1
33.3%
o 1
33.3%
v 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1893
25.8%
0 1700
23.2%
- 1455
19.9%
1 936
12.8%
3 329
 
4.5%
7 188
 
2.6%
9 184
 
2.5%
8 175
 
2.4%
4 173
 
2.4%
6 151
 
2.1%
Other values (5) 142
 
1.9%

사업개시일자
Text

MISSING 

Distinct409
Distinct (%)46.4%
Missing640
Missing (%)42.1%
Memory size12.0 KiB
2024-03-15T05:39:53.779301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters8810
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)27.5%

Sample

1st row2006-09-29
2nd row2008-09-24
3rd row2009-02-18
4th row2008-08-14
5th row2008-07-03
ValueCountFrequency (%)
2022-01-09 84
 
9.5%
2020-10-05 24
 
2.7%
2022-06-30 20
 
2.3%
2023-10-10 16
 
1.8%
2021-06-28 13
 
1.5%
2021-12-27 12
 
1.4%
2022-05-04 12
 
1.4%
2020-09-25 11
 
1.2%
2023-05-25 10
 
1.1%
2022-06-21 8
 
0.9%
Other values (399) 671
76.2%
2024-03-15T05:39:55.200469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2267
25.7%
0 2133
24.2%
- 1759
20.0%
1 1190
13.5%
3 369
 
4.2%
9 288
 
3.3%
5 193
 
2.2%
8 173
 
2.0%
4 154
 
1.7%
7 147
 
1.7%
Other values (2) 137
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7048
80.0%
Dash Punctuation 1759
 
20.0%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2267
32.2%
0 2133
30.3%
1 1190
16.9%
3 369
 
5.2%
9 288
 
4.1%
5 193
 
2.7%
8 173
 
2.5%
4 154
 
2.2%
7 147
 
2.1%
6 134
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1759
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2267
25.7%
0 2133
24.2%
- 1759
20.0%
1 1190
13.5%
3 369
 
4.2%
9 288
 
3.3%
5 193
 
2.2%
8 173
 
2.0%
4 154
 
1.7%
7 147
 
1.7%
Other values (2) 137
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2267
25.7%
0 2133
24.2%
- 1759
20.0%
1 1190
13.5%
3 369
 
4.2%
9 288
 
3.3%
5 193
 
2.2%
8 173
 
2.0%
4 154
 
1.7%
7 147
 
1.7%
Other values (2) 137
 
1.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T05:39:55.462893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:39:55.658533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T05:39:41.887826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T05:39:42.263027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:39:42.653935image/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.
2024-03-15T05:39:42.963039image/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

발전소명설치장소용량허가일자공사계획인가일자사업개시일자데이터기준일자
0주식회사 디투제이 경주지점경주시 서면 아화리 712-6200.02005-05-04<NA>2006-09-292023-12-31
1경주단구리태양광발전소경주시 강동면 단구리 314외2필89.62007-08-27<NA>2008-09-242023-12-31
2삼성솔라파크경주시 서면 심곡리 산9699.02007-12-26<NA>2009-02-182023-12-31
3대성솔라파크경주시 서면 심곡리 943-229.02008-01-29<NA>2008-08-142023-12-31
4코오롱마우나오션경주시 양남면 신대리 산322외 2필지1000.02008-03-06<NA>2008-07-032023-12-31
5경주쏠라 햇빛발전소경주시 강동면 단구리 316-148.02008-04-22<NA>2008-05-252023-12-31
6대양태양광발전소경주시 서면 아화리 산12-11198.42009-05-06<NA>2009-08-282023-12-31
7준유태양광발전소경주시 내남면 상신리 52828.82009-06-24<NA>2009-11-022023-12-31
8안계소수력경주시 강동면 안계리 706-1990.02009-11-28<NA>2013-03-052023-12-31
9대성솔라파크2경주시 서면 심곡리 산6729.442010-01-18<NA>2010-12-152023-12-31
발전소명설치장소용량허가일자공사계획인가일자사업개시일자데이터기준일자
1511한진PL 태양광발전소경주시 외동읍 석계리 482-1482.982023-12-27<NA><NA>2023-12-31
1512신진엔지니어링 태양광발전소경주시 외동읍 입실리 29-3469.342023-12-27<NA><NA>2023-12-31
1513근영 태양광발전소경주시 서면 아화리 1037-196.722023-12-28<NA><NA>2023-12-31
1514한성1 태양광발전소경주시 현곡면 하구리 436-1099.632023-12-28<NA><NA>2023-12-31
1515한성2 태양광발전소경주시 현곡면 하구리 436-1057.22023-12-28<NA><NA>2023-12-31
1516하늘채 제1 태양광발전소경주시 현곡면 상구리 561, 58898.772023-12-28<NA><NA>2023-12-31
1517하늘채 제2 태양광발전소경주시 현곡면 상구리 561-2, 588-298.772023-12-28<NA><NA>2023-12-31
1518사람들경주건천1호 태양광발전소경주시 건천읍 단석로 1739-29194.222023-12-28<NA><NA>2023-12-31
1519에어밴 경주 태양광발전소경주시 서면 아화리 110-10375.542023-12-28<NA><NA>2023-12-31
1520김일용 태양광발전소경주시 조양동 731-396.82023-12-28<NA><NA>2023-12-31