Overview

Dataset statistics

Number of variables12
Number of observations450
Missing cells146
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.1 KiB
Average record size in memory100.3 B

Variable types

Text2
Numeric2
DateTime3
Categorical5

Dataset

Description충청남도 청양군의 신재생에너지(태양광) 현황 데이터로 발전소명, 면적, 주소, 허가일자, 설비용량, 설치위치, 사업개시일, 공사준공예정일, 공급전압, 주파수, 지목, 사업상태 등을 설명한 자료입니다.
Author충청남도 청양군
URLhttps://www.data.go.kr/data/15033958/fileData.do

Alerts

공급전압(V) has constant value ""Constant
주파수(Hz) has constant value ""Constant
지목 is highly overall correlated with 설치위치High correlation
설치위치 is highly overall correlated with 지목High correlation
면적(제곱미터) is highly overall correlated with 설비용량(KW)High correlation
설비용량(KW) is highly overall correlated with 면적(제곱미터)High correlation
설치위치 is highly imbalanced (54.0%)Imbalance
지목 is highly imbalanced (53.6%)Imbalance
사업개시일 has 137 (30.4%) missing valuesMissing
공사준공예정일 has 5 (1.1%) missing valuesMissing

Reproduction

Analysis started2023-12-16 15:19:27.709392
Analysis finished2023-12-16 15:19:33.483733
Duration5.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Text

Distinct437
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-16T15:19:34.649358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.764444
Min length2

Characters and Unicode

Total characters4844
Distinct characters245
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

Unique427 ?
Unique (%)94.9%

Sample

1st row혜썬 태양광발전소
2nd rowSM 태양광발전소
3rd row청양분향 태양광발전소
4th row칠갑산 태양광발전소
5th row청양아이씨 태양광발전소
ValueCountFrequency (%)
태양광발전소 430
46.9%
분향리 10
 
1.1%
발전소 6
 
0.7%
청양 4
 
0.4%
1호 4
 
0.4%
칠갑산 3
 
0.3%
태양광 3
 
0.3%
탱양광발전소 3
 
0.3%
장평 3
 
0.3%
동순 2
 
0.2%
Other values (433) 448
48.9%
2023-12-16T15:19:37.726800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
11.4%
양 492
10.2%
광 455
 
9.4%
소 448
 
9.2%
발 446
 
9.2%
전 446
 
9.2%
태 445
 
9.2%
호 242
 
5.0%
1 81
 
1.7%
2 66
 
1.4%
Other values (235) 1169
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4014
82.9%
Space Separator 554
 
11.4%
Decimal Number 257
 
5.3%
Uppercase Letter 15
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 492
12.3%
광 455
11.3%
소 448
11.2%
발 446
11.1%
전 446
11.1%
태 445
11.1%
호 242
 
6.0%
정 40
 
1.0%
청 38
 
0.9%
신 25
 
0.6%
Other values (212) 937
23.3%
Decimal Number
ValueCountFrequency (%)
1 81
31.5%
2 66
25.7%
3 40
15.6%
4 21
 
8.2%
5 14
 
5.4%
6 12
 
4.7%
7 8
 
3.1%
8 7
 
2.7%
9 4
 
1.6%
0 4
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
M 3
20.0%
Y 2
13.3%
D 2
13.3%
S 2
13.3%
C 2
13.3%
A 2
13.3%
F 1
 
6.7%
K 1
 
6.7%
Space Separator
ValueCountFrequency (%)
554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4015
82.9%
Common 814
 
16.8%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 492
12.3%
광 455
11.3%
소 448
11.2%
발 446
11.1%
전 446
11.1%
태 445
11.1%
호 242
 
6.0%
정 40
 
1.0%
청 38
 
0.9%
신 25
 
0.6%
Other values (213) 938
23.4%
Common
ValueCountFrequency (%)
554
68.1%
1 81
 
10.0%
2 66
 
8.1%
3 40
 
4.9%
4 21
 
2.6%
5 14
 
1.7%
6 12
 
1.5%
7 8
 
1.0%
8 7
 
0.9%
9 4
 
0.5%
Other values (4) 7
 
0.9%
Latin
ValueCountFrequency (%)
M 3
20.0%
Y 2
13.3%
D 2
13.3%
S 2
13.3%
C 2
13.3%
A 2
13.3%
F 1
 
6.7%
K 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4014
82.9%
ASCII 829
 
17.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
66.8%
1 81
 
9.8%
2 66
 
8.0%
3 40
 
4.8%
4 21
 
2.5%
5 14
 
1.7%
6 12
 
1.4%
7 8
 
1.0%
8 7
 
0.8%
9 4
 
0.5%
Other values (12) 22
 
2.7%
Hangul
ValueCountFrequency (%)
양 492
12.3%
광 455
11.3%
소 448
11.2%
발 446
11.1%
전 446
11.1%
태 445
11.1%
호 242
 
6.0%
정 40
 
1.0%
청 38
 
0.9%
신 25
 
0.6%
Other values (212) 937
23.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct277
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean991.93867
Minimum20
Maximum9707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-16T15:19:38.562649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile100
Q1466
median530
Q31200
95-th percentile2442.2
Maximum9707
Range9687
Interquartile range (IQR)734

Descriptive statistics

Standard deviation1209.1579
Coefficient of variation (CV)1.2189845
Kurtosis18.48513
Mean991.93867
Median Absolute Deviation (MAD)391
Skewness3.9097048
Sum446372.4
Variance1462062.8
MonotonicityNot monotonic
2023-12-16T15:19:39.299693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
530.0 14
 
3.1%
491.0 12
 
2.7%
487.0 10
 
2.2%
482.0 8
 
1.8%
470.0 8
 
1.8%
500.0 8
 
1.8%
100.0 6
 
1.3%
477.9 6
 
1.3%
430.2 6
 
1.3%
466.0 6
 
1.3%
Other values (267) 366
81.3%
ValueCountFrequency (%)
20.0 1
 
0.2%
41.0 1
 
0.2%
72.0 1
 
0.2%
76.0 1
 
0.2%
77.0 2
0.4%
87.0 1
 
0.2%
90.2 1
 
0.2%
92.0 2
0.4%
93.0 4
0.9%
94.0 1
 
0.2%
ValueCountFrequency (%)
9707.0 1
0.2%
8046.0 1
0.2%
7663.0 1
0.2%
7500.0 1
0.2%
7400.0 1
0.2%
7149.0 1
0.2%
6780.0 1
0.2%
6645.0 1
0.2%
6088.0 2
0.4%
5784.0 1
0.2%

주소
Text

Distinct305
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-16T15:19:40.354458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length34
Mean length22.555556
Min length14

Characters and Unicode

Total characters10150
Distinct characters132
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)52.9%

Sample

1st row충청남도 청양군 청양읍 청산로 251-2
2nd row충청남도 청양군 장평면 은곡리 668-17
3rd row충청남도 청양군 장평면 분향이길 138(분향리315-1)
4th row충청남도 청양군 정산면 서정리 76-1
5th row충청남도 청양군 정산면 학암리 437-9
ValueCountFrequency (%)
청양군 450
19.4%
충청남도 360
 
15.5%
목면 111
 
4.8%
남양면 91
 
3.9%
화양리 71
 
3.1%
청남면 52
 
2.2%
장평면 51
 
2.2%
충남 46
 
2.0%
정산면 44
 
1.9%
구룡리 39
 
1.7%
Other values (414) 1002
43.2%
2023-12-16T15:19:42.224219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1870
18.4%
청 879
 
8.7%
양 639
 
6.3%
남 552
 
5.4%
1 470
 
4.6%
군 450
 
4.4%
면 439
 
4.3%
리 428
 
4.2%
충 406
 
4.0%
- 381
 
3.8%
Other values (122) 3636
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5612
55.3%
Decimal Number 2160
 
21.3%
Space Separator 1870
 
18.4%
Dash Punctuation 381
 
3.8%
Other Punctuation 101
 
1.0%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 879
15.7%
양 639
11.4%
남 552
9.8%
군 450
 
8.0%
면 439
 
7.8%
리 428
 
7.6%
충 406
 
7.2%
도 360
 
6.4%
화 117
 
2.1%
목 111
 
2.0%
Other values (106) 1231
21.9%
Decimal Number
ValueCountFrequency (%)
1 470
21.8%
2 259
12.0%
3 224
10.4%
5 220
10.2%
4 206
9.5%
0 177
 
8.2%
8 169
 
7.8%
7 160
 
7.4%
6 150
 
6.9%
9 125
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 98
97.0%
. 3
 
3.0%
Space Separator
ValueCountFrequency (%)
1870
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 381
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5612
55.3%
Common 4538
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 879
15.7%
양 639
11.4%
남 552
9.8%
군 450
 
8.0%
면 439
 
7.8%
리 428
 
7.6%
충 406
 
7.2%
도 360
 
6.4%
화 117
 
2.1%
목 111
 
2.0%
Other values (106) 1231
21.9%
Common
ValueCountFrequency (%)
1870
41.2%
1 470
 
10.4%
- 381
 
8.4%
2 259
 
5.7%
3 224
 
4.9%
5 220
 
4.8%
4 206
 
4.5%
0 177
 
3.9%
8 169
 
3.7%
7 160
 
3.5%
Other values (6) 402
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5612
55.3%
ASCII 4538
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1870
41.2%
1 470
 
10.4%
- 381
 
8.4%
2 259
 
5.7%
3 224
 
4.9%
5 220
 
4.8%
4 206
 
4.5%
0 177
 
3.9%
8 169
 
3.7%
7 160
 
3.5%
Other values (6) 402
 
8.9%
Hangul
ValueCountFrequency (%)
청 879
15.7%
양 639
11.4%
남 552
9.8%
군 450
 
8.0%
면 439
 
7.8%
리 428
 
7.6%
충 406
 
7.2%
도 360
 
6.4%
화 117
 
2.1%
목 111
 
2.0%
Other values (106) 1231
21.9%

허가일자
Date

Distinct154
Distinct (%)34.5%
Missing4
Missing (%)0.9%
Memory size3.6 KiB
Minimum2014-04-02 00:00:00
Maximum2023-06-08 00:00:00
2023-12-16T15:19:42.899549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:43.771888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설비용량(KW)
Real number (ℝ)

HIGH CORRELATION 

Distinct149
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.988
Minimum8.12
Maximum999.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-16T15:19:44.520549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.12
5-th percentile19.58
Q197.92
median99.36
Q399.9
95-th percentile347.7315
Maximum999.34
Range991.22
Interquartile range (IQR)1.98

Descriptive statistics

Standard deviation101.04913
Coefficient of variation (CV)0.87877976
Kurtosis18.12682
Mean114.988
Median Absolute Deviation (MAD)0.6
Skewness3.6490813
Sum51744.6
Variance10210.926
MonotonicityNot monotonic
2023-12-16T15:19:45.452196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.96 33
 
7.3%
99.9 31
 
6.9%
99.0 27
 
6.0%
99.2 25
 
5.6%
99.84 23
 
5.1%
99.6 18
 
4.0%
99.76 15
 
3.3%
97.92 14
 
3.1%
99.36 11
 
2.4%
99.54 10
 
2.2%
Other values (139) 243
54.0%
ValueCountFrequency (%)
8.12 1
0.2%
9.86 1
0.2%
14.89 1
0.2%
15.3 1
0.2%
15.75 1
0.2%
16.2 1
0.2%
16.6 1
0.2%
16.72 1
0.2%
17.5 1
0.2%
18.0 2
0.4%
ValueCountFrequency (%)
999.34 1
 
0.2%
499.5 1
 
0.2%
499.32 1
 
0.2%
499.205 1
 
0.2%
499.0 1
 
0.2%
498.96 3
0.7%
498.0 2
0.4%
493.68 1
 
0.2%
490.68 1
 
0.2%
485.55 1
 
0.2%

설치위치
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
건물위
264 
토지위
181 
건물내
 
2
수상위
 
2
건물및 토지위
 
1

Length

Max length7
Median length3
Mean length3.0088889
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row건물위
2nd row건물위
3rd row토지위
4th row토지위
5th row토지위

Common Values

ValueCountFrequency (%)
건물위 264
58.7%
토지위 181
40.2%
건물내 2
 
0.4%
수상위 2
 
0.4%
건물및 토지위 1
 
0.2%

Length

2023-12-16T15:19:46.375160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:19:47.121360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위 264
58.5%
토지위 182
40.4%
건물내 2
 
0.4%
수상위 2
 
0.4%
건물및 1
 
0.2%

사업개시일
Date

MISSING 

Distinct131
Distinct (%)41.9%
Missing137
Missing (%)30.4%
Memory size3.6 KiB
Minimum2014-06-26 00:00:00
Maximum2023-04-13 00:00:00
2023-12-16T15:19:47.915598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:49.259171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사준공예정일
Date

MISSING 

Distinct178
Distinct (%)40.0%
Missing5
Missing (%)1.1%
Memory size3.6 KiB
Minimum2014-05-23 00:00:00
Maximum2025-05-15 00:00:00
2023-12-16T15:19:50.384942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:50.829879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공급전압(V)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
380
450 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
380 450
100.0%

Length

2023-12-16T15:19:51.337634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:19:51.760009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 450
100.0%

주파수(Hz)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
60
450 

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 (%)
60 450
100.0%

Length

2023-12-16T15:19:52.150821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:19:52.758473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 450
100.0%

지목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
건물위
240 
토지위
160 
답
26 
전
 
12
건물내
 
2
Other values (6)
 
10

Length

Max length9
Median length3
Mean length2.8444444
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row건물위
2nd row건물위
3rd row토지위
4th row토지위
5th row토지위

Common Values

ValueCountFrequency (%)
건물위 240
53.3%
토지위 160
35.6%
답 26
 
5.8%
전 12
 
2.7%
건물내 2
 
0.4%
수상위 2
 
0.4%
대지 2
 
0.4%
목장용지 2
 
0.4%
대 2
 
0.4%
건물및 토지위 1
 
0.2%

Length

2023-12-16T15:19:53.155298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건물위 240
53.2%
토지위 161
35.7%
답 26
 
5.8%
전 12
 
2.7%
건물내 2
 
0.4%
수상위 2
 
0.4%
대지 2
 
0.4%
목장용지 2
 
0.4%
대 2
 
0.4%
건물및 1
 
0.2%

사업상태
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
사업개시
283 
허가
153 
공사수리
 
11
허가
 
3

Length

Max length4
Median length4
Mean length3.3133333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 283
62.9%
허가 153
34.0%
공사수리 11
 
2.4%
허가 3
 
0.7%

Length

2023-12-16T15:19:53.679574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:19:54.220581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 283
62.9%
허가 156
34.7%
공사수리 11
 
2.4%

Interactions

2023-12-16T15:19:30.200505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:29.397123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:30.640790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:29.806303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:19:54.615152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)설비용량(KW)설치위치지목사업상태
면적(제곱미터)1.0000.7840.7910.5680.202
설비용량(KW)0.7841.0000.2920.2820.203
설치위치0.7910.2921.0000.9920.160
지목0.5680.2820.9921.0000.444
사업상태0.2020.2030.1600.4441.000
2023-12-16T15:19:55.000255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목설치위치사업상태
지목1.0000.9840.281
설치위치0.9841.0000.131
사업상태0.2810.1311.000
2023-12-16T15:19:55.554894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)설비용량(KW)설치위치지목사업상태
면적(제곱미터)1.0000.5140.4440.2830.121
설비용량(KW)0.5141.0000.2020.1470.131
설치위치0.4440.2021.0000.9840.131
지목0.2830.1470.9841.0000.281
사업상태0.1210.1310.1310.2811.000

Missing values

2023-12-16T15:19:31.232457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:19:32.393881image/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.
2023-12-16T15:19:33.201987image/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

발전소명면적(제곱미터)주소허가일자설비용량(KW)설치위치사업개시일공사준공예정일공급전압(V)주파수(Hz)지목사업상태
0혜썬 태양광발전소104.0충청남도 청양군 청양읍 청산로 251-22014-04-0219.8건물위2014-06-262014-05-2338060건물위사업개시
1SM 태양광발전소462.0충청남도 청양군 장평면 은곡리 668-172014-06-2496.0건물위2014-08-192014-07-0838060건물위사업개시
2청양분향 태양광발전소1398.0충청남도 청양군 장평면 분향이길 138(분향리315-1)2014-06-24295.47토지위2017-06-302016-12-2638060토지위사업개시
3칠갑산 태양광발전소555.0충청남도 청양군 정산면 서정리 76-12014-07-2499.0토지위2015-04-082015-02-1038060토지위사업개시
4청양아이씨 태양광발전소511.0충청남도 청양군 정산면 학암리 437-92014-08-2199.0토지위2015-03-022014-12-2338060토지위사업개시
5안심리 태양광발전소93.0충청남도 청양군 목면 건지동길 102014-08-2116.2건물위2014-09-252014-09-1138060건물위사업개시
6청양 태양광발전소285.0충청남도 청양군 목면 상하신대길 2032014-10-1049.4건물위2015-02-252015-01-1538060건물위사업개시
7대청1호 태양광발전소1485.0충청남도 청양군 화성면 농암리 252-12014-10-3099.36토지위2015-06-232015-03-0638060토지위사업개시
8남양1호 태양광발전소306.0충청남도 청양군 남양면 흥산리 253-12014-12-2249.6토지위2017-01-172016-06-0338060토지위사업개시
9남양2호 태양광발전소1635.0충청남도 청양군 남양면 흥산리 251-202014-12-2299.2토지위2016-05-312016-03-2138060토지위사업개시
발전소명면적(제곱미터)주소허가일자설비용량(KW)설치위치사업개시일공사준공예정일공급전압(V)주파수(Hz)지목사업상태
440태평1호 태양광발전소136.6청양군 남양면 신왕리 118-32023-03-0629.975토지위<NA>2024-09-0538060전허가
441태평2호 태양광발전소136.6청양군 남양면 신왕리 118-52023-03-0629.975토지위<NA>2024-09-0538060전허가
442정진원2호 태양광발전소467.0청양군 목면 화양리 1044-122023-04-2099.99건물위<NA>2024-10-1938060답허가
443대흥 태양광 발전소514.2충남 청양군 청남면 대흥리 6162023-04-2099.0건물위<NA>2024-10-1938060답허가
444대흥1호 태양광발전소514.2충남 청양군 청남면 대흥리 6162023-04-2099.0건물위<NA>2024-10-1938060답허가
445박뜸1호 태양광발전소136.6충남 청양군 남양면 신왕리 752023-04-2129.975토지위<NA>2024-10-2038060전허가
446박뜸2호 태양광발전소136.6충남 청양군 남양면 신왕리 762023-04-2129.975토지위<NA>2024-10-2038060대허가
447박뜸3호 태양광발전소136.6충남 청양군 남양면 신왕리 105-12023-04-2129.975토지위<NA>2024-10-2038060전허가
448동순 태양광발전소136.6충남 청양군 남양면 신왕리 68-32023-04-2129.975건물위<NA>2024-10-2038060대허가
449수정 태양광발전소5784.0충남 청양군 대치면 주정리 1-32023-06-08499.205토지위<NA>2024-12-0738060전허가