Overview

Dataset statistics

Number of variables10
Number of observations1641
Missing cells397
Missing cells (%)2.4%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory133.1 KiB
Average record size in memory83.1 B

Variable types

Numeric2
Categorical3
Text2
DateTime3

Dataset

Description장수군 태양광발전소 현황(상호명, 시설주소, 설비용량, 부지면적, 건축물 활용여부, 사업자 유형, 발전사업허가일, 등)에 대하여 설명
URLhttps://www.data.go.kr/data/15043418/fileData.do

Alerts

기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
연번 is highly overall correlated with 허가자High correlation
설치용량(kW) is highly overall correlated with 허가자High correlation
허가자 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
공급전압(V) is highly overall correlated with 허가자High correlation
허가자 is highly imbalanced (58.8%)Imbalance
공급전압(V) is highly imbalanced (83.1%)Imbalance
주파수(Hz) is highly imbalanced (96.0%)Imbalance
사업개시일 has 367 (22.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:33:01.985362
Analysis finished2023-12-12 18:33:03.766482
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct1636
Distinct (%)100.0%
Missing5
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean818.5
Minimum1
Maximum1636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-13T03:33:03.843897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile82.75
Q1409.75
median818.5
Q31227.25
95-th percentile1554.25
Maximum1636
Range1635
Interquartile range (IQR)817.5

Descriptive statistics

Standard deviation472.41684
Coefficient of variation (CV)0.5771739
Kurtosis-1.2
Mean818.5
Median Absolute Deviation (MAD)409
Skewness0
Sum1339066
Variance223177.67
MonotonicityStrictly increasing
2023-12-13T03:33:04.040533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1089 1
 
0.1%
1099 1
 
0.1%
1098 1
 
0.1%
1097 1
 
0.1%
1096 1
 
0.1%
1095 1
 
0.1%
1094 1
 
0.1%
1093 1
 
0.1%
1092 1
 
0.1%
1091 1
 
0.1%
Other values (1626) 1626
99.1%
(Missing) 5
 
0.3%
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 (%)
1636 1
0.1%
1635 1
0.1%
1634 1
0.1%
1633 1
0.1%
1632 1
0.1%
1631 1
0.1%
1630 1
0.1%
1629 1
0.1%
1628 1
0.1%
1627 1
0.1%

허가자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
장수군
1380 
도
256 
<NA>
 
5

Length

Max length4
Median length3
Mean length2.691042
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장수군 1380
84.1%
도 256
 
15.6%
<NA> 5
 
0.3%

Length

2023-12-13T03:33:04.208836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:33:04.359713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장수군 1380
84.1%
도 256
 
15.6%
na 5
 
0.3%

발전소명
Text

Distinct1547
Distinct (%)94.6%
Missing5
Missing (%)0.3%
Memory size12.9 KiB
2023-12-13T03:33:04.789778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length10.003056
Min length4

Characters and Unicode

Total characters16365
Distinct characters391
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

Unique1464 ?
Unique (%)89.5%

Sample

1st row경희 태양광발전소
2nd row태경3호 태양광발전소
3rd row재홍4 태양광발전소
4th row금둘 태양광발전소
5th row손광웅 태양광발전소
ValueCountFrequency (%)
태양광발전소 1038
37.8%
발전소 28
 
1.0%
태양광 13
 
0.5%
장수 6
 
0.2%
하월 5
 
0.2%
2호 4
 
0.1%
한마음발전소 4
 
0.1%
현 4
 
0.1%
5호 3
 
0.1%
태양광발전소2호 3
 
0.1%
Other values (1545) 1641
59.7%
2023-12-13T03:33:05.479668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1593
 
9.7%
전 1592
 
9.7%
양 1590
 
9.7%
태 1584
 
9.7%
광 1572
 
9.6%
발 1572
 
9.6%
1117
 
6.8%
호 708
 
4.3%
1 274
 
1.7%
2 255
 
1.6%
Other values (381) 4508
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14211
86.8%
Space Separator 1117
 
6.8%
Decimal Number 874
 
5.3%
Uppercase Letter 71
 
0.4%
Lowercase Letter 29
 
0.2%
Open Punctuation 27
 
0.2%
Close Punctuation 27
 
0.2%
Other Symbol 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1593
11.2%
전 1592
11.2%
양 1590
11.2%
태 1584
11.1%
광 1572
11.1%
발 1572
11.1%
호 708
 
5.0%
장 197
 
1.4%
수 182
 
1.3%
지 91
 
0.6%
Other values (339) 3530
24.8%
Uppercase Letter
ValueCountFrequency (%)
S 22
31.0%
K 11
15.5%
J 10
14.1%
G 5
 
7.0%
H 5
 
7.0%
D 3
 
4.2%
P 3
 
4.2%
A 3
 
4.2%
B 2
 
2.8%
Y 2
 
2.8%
Other values (5) 5
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 274
31.4%
2 255
29.2%
3 117
13.4%
4 59
 
6.8%
5 56
 
6.4%
6 33
 
3.8%
7 31
 
3.5%
8 20
 
2.3%
0 16
 
1.8%
9 13
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.7%
t 4
13.8%
a 3
10.3%
h 3
10.3%
s 3
10.3%
c 3
10.3%
n 2
 
6.9%
y 2
 
6.9%
p 2
 
6.9%
u 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
" 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14215
86.9%
Common 2050
 
12.5%
Latin 100
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1593
11.2%
전 1592
11.2%
양 1590
11.2%
태 1584
11.1%
광 1572
11.1%
발 1572
11.1%
호 708
 
5.0%
장 197
 
1.4%
수 182
 
1.3%
지 91
 
0.6%
Other values (340) 3534
24.9%
Latin
ValueCountFrequency (%)
S 22
22.0%
K 11
 
11.0%
J 10
 
10.0%
e 6
 
6.0%
G 5
 
5.0%
H 5
 
5.0%
t 4
 
4.0%
D 3
 
3.0%
a 3
 
3.0%
h 3
 
3.0%
Other values (15) 28
28.0%
Common
ValueCountFrequency (%)
1117
54.5%
1 274
 
13.4%
2 255
 
12.4%
3 117
 
5.7%
4 59
 
2.9%
5 56
 
2.7%
6 33
 
1.6%
7 31
 
1.5%
( 27
 
1.3%
) 27
 
1.3%
Other values (6) 54
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14211
86.8%
ASCII 2150
 
13.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1593
11.2%
전 1592
11.2%
양 1590
11.2%
태 1584
11.1%
광 1572
11.1%
발 1572
11.1%
호 708
 
5.0%
장 197
 
1.4%
수 182
 
1.3%
지 91
 
0.6%
Other values (339) 3530
24.8%
ASCII
ValueCountFrequency (%)
1117
52.0%
1 274
 
12.7%
2 255
 
11.9%
3 117
 
5.4%
4 59
 
2.7%
5 56
 
2.6%
6 33
 
1.5%
7 31
 
1.4%
( 27
 
1.3%
) 27
 
1.3%
Other values (31) 154
 
7.2%
None
ValueCountFrequency (%)
㈜ 4
100.0%

사업장소(발전소 위치)
Text

Distinct1458
Distinct (%)89.1%
Missing5
Missing (%)0.3%
Memory size12.9 KiB
2023-12-13T03:33:05.982930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length80
Mean length28.473105
Min length18

Characters and Unicode

Total characters46582
Distinct characters149
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1339 ?
Unique (%)81.8%

Sample

1st row전라북도 장수군 계북면 농소리 168
2nd row전라북도 장수군 계북면 원촌리 1025-7
3rd row전라북도 장수군 장수읍 두산리 653-4
4th row전라북도 장수군 계남면 장안리 890-2
5th row전라북도 장수군 장수읍 송천리 1037-4 (건물상부)
ValueCountFrequency (%)
전라북도 1636
 
15.9%
장수군 1636
 
15.9%
장수읍 397
 
3.9%
370
 
3.6%
계북면 308
 
3.0%
산서면 293
 
2.9%
천천면 261
 
2.5%
장계면 180
 
1.8%
원촌리 167
 
1.6%
건물상부 166
 
1.6%
Other values (2228) 4865
47.3%
2023-12-13T03:33:06.699394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8649
18.6%
장 2291
 
4.9%
수 2058
 
4.4%
1 2018
 
4.3%
북 1946
 
4.2%
- 1805
 
3.9%
전 1680
 
3.6%
도 1637
 
3.5%
군 1636
 
3.5%
라 1636
 
3.5%
Other values (139) 21226
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23554
50.6%
Decimal Number 11082
23.8%
Space Separator 8649
 
18.6%
Dash Punctuation 1805
 
3.9%
Other Punctuation 1143
 
2.5%
Open Punctuation 172
 
0.4%
Close Punctuation 172
 
0.4%
Other Symbol 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2291
 
9.7%
수 2058
 
8.7%
북 1946
 
8.3%
전 1680
 
7.1%
도 1637
 
6.9%
군 1636
 
6.9%
라 1636
 
6.9%
리 1574
 
6.7%
면 1247
 
5.3%
계 711
 
3.0%
Other values (121) 7138
30.3%
Decimal Number
ValueCountFrequency (%)
1 2018
18.2%
2 1434
12.9%
3 1177
10.6%
5 1152
10.4%
4 1010
9.1%
7 981
8.9%
6 874
7.9%
9 853
7.7%
0 818
7.4%
8 765
 
6.9%
Math Symbol
ValueCountFrequency (%)
→ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
8649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1805
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23554
50.6%
Common 23028
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2291
 
9.7%
수 2058
 
8.7%
북 1946
 
8.3%
전 1680
 
7.1%
도 1637
 
6.9%
군 1636
 
6.9%
라 1636
 
6.9%
리 1574
 
6.7%
면 1247
 
5.3%
계 711
 
3.0%
Other values (121) 7138
30.3%
Common
ValueCountFrequency (%)
8649
37.6%
1 2018
 
8.8%
- 1805
 
7.8%
2 1434
 
6.2%
3 1177
 
5.1%
5 1152
 
5.0%
, 1143
 
5.0%
4 1010
 
4.4%
7 981
 
4.3%
6 874
 
3.8%
Other values (8) 2785
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23554
50.6%
ASCII 23024
49.4%
CJK Compat 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8649
37.6%
1 2018
 
8.8%
- 1805
 
7.8%
2 1434
 
6.2%
3 1177
 
5.1%
5 1152
 
5.0%
, 1143
 
5.0%
4 1010
 
4.4%
7 981
 
4.3%
6 874
 
3.8%
Other values (6) 2781
 
12.1%
Hangul
ValueCountFrequency (%)
장 2291
 
9.7%
수 2058
 
8.7%
북 1946
 
8.3%
전 1680
 
7.1%
도 1637
 
6.9%
군 1636
 
6.9%
라 1636
 
6.9%
리 1574
 
6.7%
면 1247
 
5.3%
계 711
 
3.0%
Other values (121) 7138
30.3%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

설치용량(kW)
Real number (ℝ)

HIGH CORRELATION 

Distinct359
Distinct (%)21.9%
Missing5
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean171.09671
Minimum9.45
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.6 KiB
2023-12-13T03:33:06.934522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.45
5-th percentile29.98
Q198.925
median99.36
Q399.84
95-th percentile915.1275
Maximum1000
Range990.55
Interquartile range (IQR)0.915

Descriptive statistics

Standard deviation218.32895
Coefficient of variation (CV)1.2760559
Kurtosis7.8665526
Mean171.09671
Median Absolute Deviation (MAD)0.48
Skewness2.9468673
Sum279914.21
Variance47667.532
MonotonicityNot monotonic
2023-12-13T03:33:07.122174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 208
 
12.7%
99.4 82
 
5.0%
99.6 58
 
3.5%
99.45 56
 
3.4%
99.75 54
 
3.3%
99.9 48
 
2.9%
99.36 48
 
2.9%
99.2 48
 
2.9%
99.96 47
 
2.9%
99.28 45
 
2.7%
Other values (349) 942
57.4%
ValueCountFrequency (%)
9.45 1
0.1%
9.9 2
0.1%
10.2 1
0.1%
12.04 1
0.1%
12.1 1
0.1%
12.98 1
0.1%
14.0 1
0.1%
14.28 1
0.1%
14.4 1
0.1%
14.5 1
0.1%
ValueCountFrequency (%)
1000.0 9
 
0.5%
999.77 1
 
0.1%
999.6 4
 
0.2%
999.53 1
 
0.1%
999.45 2
 
0.1%
999.35 2
 
0.1%
999.0 28
1.7%
998.64 1
 
0.1%
998.4 1
 
0.1%
998.26 1
 
0.1%

공급전압(V)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
380
1491 
22900
 
98
220/380
 
18
220
 
17
<NA>
 
5
Other values (7)
 
12

Length

Max length7
Median length3
Mean length3.1669714
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
380 1491
90.9%
22900 98
 
6.0%
220/380 18
 
1.1%
220 17
 
1.0%
<NA> 5
 
0.3%
60 3
 
0.2%
360 3
 
0.2%
99.38 2
 
0.1%
680 1
 
0.1%
99.33 1
 
0.1%
Other values (2) 2
 
0.1%

Length

2023-12-13T03:33:07.282903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
380 1491
90.9%
22900 98
 
6.0%
220/380 18
 
1.1%
220 17
 
1.0%
na 5
 
0.3%
60 3
 
0.2%
360 3
 
0.2%
99.38 2
 
0.1%
680 1
 
0.1%
99.33 1
 
0.1%
Other values (2) 2
 
0.1%

주파수(Hz)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
60
1626 
600
 
5
<NA>
 
5
380
 
4
601
 
1

Length

Max length4
Median length2
Mean length2.0121877
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
60 1626
99.1%
600 5
 
0.3%
<NA> 5
 
0.3%
380 4
 
0.2%
601 1
 
0.1%

Length

2023-12-13T03:33:07.430510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:33:07.586447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1626
99.1%
600 5
 
0.3%
na 5
 
0.3%
380 4
 
0.2%
601 1
 
0.1%

허가일
Date

Distinct467
Distinct (%)28.5%
Missing5
Missing (%)0.3%
Memory size12.9 KiB
Minimum2002-11-25 00:00:00
Maximum2023-08-04 00:00:00
2023-12-13T03:33:07.729901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:07.912588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct354
Distinct (%)27.8%
Missing367
Missing (%)22.4%
Memory size12.9 KiB
Minimum2005-05-31 00:00:00
Maximum2023-08-01 00:00:00
2023-12-13T03:33:08.093188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:08.261276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing5
Missing (%)0.3%
Memory size12.9 KiB
Minimum2023-08-09 00:00:00
Maximum2023-08-09 00:00:00
2023-12-13T03:33:08.398158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:08.504497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T03:33:02.950653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:02.695394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:03.061193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:02.837181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:33:08.580207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가자설치용량(kW)공급전압(V)주파수(Hz)
연번1.0000.6630.4780.3280.099
허가자0.6631.0000.9660.5570.049
설치용량(kW)0.4780.9661.0000.5830.000
공급전압(V)0.3280.5570.5831.0000.608
주파수(Hz)0.0990.0490.0000.6081.000
2023-12-13T03:33:08.699498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급전압(V)허가자주파수(Hz)
공급전압(V)1.0000.5350.415
허가자0.5351.0000.032
주파수(Hz)0.4150.0321.000
2023-12-13T03:33:09.172439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치용량(kW)허가자공급전압(V)주파수(Hz)
연번1.000-0.0680.5140.1460.059
설치용량(kW)-0.0681.0000.8400.2930.000
허가자0.5140.8401.0000.5350.032
공급전압(V)0.1460.2930.5351.0000.415
주파수(Hz)0.0590.0000.0320.4151.000

Missing values

2023-12-13T03:33:03.222772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:33:03.425250image/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.
2023-12-13T03:33:03.609611image/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

연번허가자발전소명사업장소(발전소 위치)설치용량(kW)공급전압(V)주파수(Hz)허가일사업개시일기준일자
01장수군경희 태양광발전소전라북도 장수군 계북면 농소리 16862.48380602023-08-04<NA>2023-08-09
12장수군태경3호 태양광발전소전라북도 장수군 계북면 원촌리 1025-799.84380602023-08-04<NA>2023-08-09
23장수군재홍4 태양광발전소전라북도 장수군 장수읍 두산리 653-449.3380602023-07-31<NA>2023-08-09
34장수군금둘 태양광발전소전라북도 장수군 계남면 장안리 890-299.99380602023-07-26<NA>2023-08-09
45장수군손광웅 태양광발전소전라북도 장수군 장수읍 송천리 1037-4 (건물상부)41.65380602023-07-20<NA>2023-08-09
56장수군눈꽃11 태양광발전소전라북도 장수군 장수읍 식천리 56099.55380602023-07-12<NA>2023-08-09
67장수군논개 태양광발전소전라북도 장수군 장계면 대곡리 146599.12380602023-07-11<NA>2023-08-09
78장수군재홍3 태양광발전소전라북도 장수군 장수읍 선창리 90-699.76380602023-06-29<NA>2023-08-09
89장수군황금1호 태양광발전소전라북도 장수군 장수읍 수분리 41499.96380602023-06-28<NA>2023-08-09
910장수군박태규1호 태양광발전소전라북도 장수군 산서면 쌍계리 1030-199.96380602023-06-28<NA>2023-08-09
연번허가자발전소명사업장소(발전소 위치)설치용량(kW)공급전압(V)주파수(Hz)허가일사업개시일기준일자
16311632도(유)썬트랙솔라파크 제1 태양광발전소전라북도 장수군 장수읍 대성리 728-61000.022900602009-03-062009-11-122023-08-09
16321633도㈜해오름에너지전라북도 장수군 산서면 백운리 521-1 521-3869.022900602009-02-02<NA>2023-08-09
16331634장수군먹골 태양광발전소전라북도 장수군 산서면 동화리 603번지 8호 , 9, 10, 11, 2799.82380602009-03-052009-08-242023-08-09
16341635도㈜동화에너지전라북도 장수군 산서면 오산리 산 501000.022900602006-09-192007-12-312023-08-09
16351636도동화댐소수력발전소전라북도 장수군 번암면 죽림리 일원1000.022900602002-11-252005-05-312023-08-09
1636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1637<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1638<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1639<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1640<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번허가자발전소명사업장소(발전소 위치)설치용량(kW)공급전압(V)주파수(Hz)허가일사업개시일기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5