Overview

Dataset statistics

Number of variables30
Number of observations1819
Missing cells104
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory476.2 KiB
Average record size in memory268.1 B

Variable types

DateTime1
Categorical13
Numeric16

Dataset

Description한국동서발전의 태양광 발전량(일자, 지점, 지점정보, 발전량 등)을 제공합니다. 해당기간은 2022년 4월 부터 2023년 6월까지의 데이터입니다.
Author한국동서발전(주)
URLhttps://www.data.go.kr/data/15099650/fileData.do

Alerts

01시 is highly imbalanced (96.4%)Imbalance
02시 is highly imbalanced (96.4%)Imbalance
03시 is highly imbalanced (96.4%)Imbalance
04시 is highly imbalanced (96.4%)Imbalance
05시 is highly imbalanced (96.4%)Imbalance
21시 is highly imbalanced (96.4%)Imbalance
22시 is highly imbalanced (96.4%)Imbalance
23시 is highly imbalanced (95.9%)Imbalance
24시 is highly imbalanced (95.9%)Imbalance
06시 has 1605 (88.2%) zerosZeros
07시 has 953 (52.4%) zerosZeros
08시 has 393 (21.6%) zerosZeros
09시 has 138 (7.6%) zerosZeros
10시 has 100 (5.5%) zerosZeros
11시 has 76 (4.2%) zerosZeros
12시 has 78 (4.3%) zerosZeros
13시 has 80 (4.4%) zerosZeros
14시 has 80 (4.4%) zerosZeros
15시 has 79 (4.3%) zerosZeros
16시 has 88 (4.8%) zerosZeros
17시 has 112 (6.2%) zerosZeros
18시 has 254 (14.0%) zerosZeros
19시 has 751 (41.3%) zerosZeros
20시 has 1337 (73.5%) zerosZeros
합계 has 72 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-12 22:07:42.658803
Analysis finished2023-12-12 22:07:43.018606
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct456
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
Minimum2022-04-01 00:00:00
Maximum2023-06-30 00:00:00
2023-12-13T07:07:43.087850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:43.262737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설비용량(MW)
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
1.0
907 
0.7
456 
0.5
456 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.7
2nd row0.7
3rd row0.7
4th row0.7
5th row0.7

Common Values

ValueCountFrequency (%)
1.0 907
49.9%
0.7 456
25.1%
0.5 456
25.1%

Length

2023-12-13T07:07:43.391219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:43.493908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 907
49.9%
0.7 456
25.1%
0.5 456
25.1%

경도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
37.05075
1363 
35.47765
456 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.05075
2nd row37.05075
3rd row37.05075
4th row37.05075
5th row37.05075

Common Values

ValueCountFrequency (%)
37.05075 1363
74.9%
35.47765 456
 
25.1%

Length

2023-12-13T07:07:43.597445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:43.688183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.05075 1363
74.9%
35.47765 456
 
25.1%

위도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
126.5103
1363 
129.3808
456 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.5103
2nd row126.5103
3rd row126.5103
4th row126.5103
5th row126.5103

Common Values

ValueCountFrequency (%)
126.5103 1363
74.9%
129.3808 456
 
25.1%

Length

2023-12-13T07:07:43.794559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:43.938906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.5103 1363
74.9%
129.3808 456
 
25.1%

발전기명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
당진자재창고태양광
456 
당진화력수상태양광
456 
울산태양광#1
456 
당진태양광
451 

Length

Max length9
Median length9
Mean length7.5068719
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진자재창고태양광 456
25.1%
당진화력수상태양광 456
25.1%
울산태양광#1 456
25.1%
당진태양광 451
24.8%

Length

2023-12-13T07:07:44.044349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:44.176378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진자재창고태양광 456
25.1%
당진화력수상태양광 456
25.1%
울산태양광#1 456
25.1%
당진태양광 451
24.8%

01시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:44.314841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:44.407500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

02시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:44.505650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:44.623895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

03시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:44.721062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:44.818568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

04시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:44.934218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:45.046685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

05시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:45.158590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:45.253121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

06시
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)2.0%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean88.291391
Minimum0
Maximum3840
Zeros1605
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:45.352730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile720
Maximum3840
Range3840
Interquartile range (IQR)0

Descriptive statistics

Standard deviation330.68979
Coefficient of variation (CV)3.7454364
Kurtosis31.788745
Mean88.291391
Median Absolute Deviation (MAD)0
Skewness5.0989204
Sum159984
Variance109355.74
MonotonicityNot monotonic
2023-12-13T07:07:45.494925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 1605
88.2%
960 44
 
2.4%
1920 18
 
1.0%
96 13
 
0.7%
48 12
 
0.7%
144 11
 
0.6%
336 10
 
0.5%
480 9
 
0.5%
288 9
 
0.5%
240 9
 
0.5%
Other values (26) 72
 
4.0%
ValueCountFrequency (%)
0 1605
88.2%
48 12
 
0.7%
96 13
 
0.7%
144 11
 
0.6%
192 3
 
0.2%
240 9
 
0.5%
288 9
 
0.5%
336 10
 
0.5%
384 9
 
0.5%
432 5
 
0.3%
ValueCountFrequency (%)
3840 1
 
0.1%
2880 4
 
0.2%
2352 1
 
0.1%
2112 1
 
0.1%
1920 18
1.0%
1584 1
 
0.1%
1536 1
 
0.1%
1488 2
 
0.1%
1440 1
 
0.1%
1344 1
 
0.1%

07시
Real number (ℝ)

ZEROS 

Distinct385
Distinct (%)21.2%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean5938.0419
Minimum0
Maximum56640
Zeros953
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:45.650881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38640
95-th percentile27211.2
Maximum56640
Range56640
Interquartile range (IQR)8640

Descriptive statistics

Standard deviation9931.3056
Coefficient of variation (CV)1.6724883
Kurtosis3.0751519
Mean5938.0419
Median Absolute Deviation (MAD)0
Skewness1.8604026
Sum10759732
Variance98630831
MonotonicityNot monotonic
2023-12-13T07:07:45.789907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 953
52.4%
96 26
 
1.4%
1920 18
 
1.0%
192 18
 
1.0%
960 15
 
0.8%
4800 15
 
0.8%
48 15
 
0.8%
6720 13
 
0.7%
18240 11
 
0.6%
7680 10
 
0.5%
Other values (375) 718
39.5%
ValueCountFrequency (%)
0 953
52.4%
48 15
 
0.8%
96 26
 
1.4%
144 3
 
0.2%
192 18
 
1.0%
240 5
 
0.3%
288 8
 
0.4%
336 1
 
0.1%
384 6
 
0.3%
432 5
 
0.3%
ValueCountFrequency (%)
56640 1
0.1%
53760 1
0.1%
51168 1
0.1%
50880 1
0.1%
50112 1
0.1%
49920 1
0.1%
49581 1
0.1%
46826 1
0.1%
45120 2
0.1%
43200 1
0.1%

08시
Real number (ℝ)

ZEROS 

Distinct827
Distinct (%)45.6%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean31845.103
Minimum0
Maximum225867
Zeros393
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:45.934537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1432
median22608
Q358944
95-th percentile89104.8
Maximum225867
Range225867
Interquartile range (IQR)58512

Descriptive statistics

Standard deviation32685.78
Coefficient of variation (CV)1.0263989
Kurtosis0.22396134
Mean31845.103
Median Absolute Deviation (MAD)22608
Skewness0.81421584
Sum57703327
Variance1.0683602 × 109
MonotonicityNot monotonic
2023-12-13T07:07:46.083111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393
 
21.6%
960 21
 
1.2%
96 16
 
0.9%
1920 12
 
0.7%
48 11
 
0.6%
2880 10
 
0.5%
3840 10
 
0.5%
144 9
 
0.5%
480 9
 
0.5%
84480 8
 
0.4%
Other values (817) 1313
72.2%
ValueCountFrequency (%)
0 393
21.6%
48 11
 
0.6%
96 16
 
0.9%
144 9
 
0.5%
192 7
 
0.4%
240 5
 
0.3%
288 4
 
0.2%
336 3
 
0.2%
384 3
 
0.2%
432 4
 
0.2%
ValueCountFrequency (%)
225867 1
0.1%
210259 1
0.1%
132480 1
0.1%
128555 1
0.1%
126528 1
0.1%
123840 1
0.1%
121579 1
0.1%
120384 1
0.1%
119808 1
0.1%
117120 1
0.1%

09시
Real number (ℝ)

ZEROS 

Distinct1274
Distinct (%)70.3%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean102869.06
Minimum0
Maximum414090
Zeros138
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:46.208339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138364
median93624
Q3162720
95-th percentile231254.4
Maximum414090
Range414090
Interquartile range (IQR)124356

Descriptive statistics

Standard deviation74604.502
Coefficient of variation (CV)0.7252375
Kurtosis-0.84917088
Mean102869.06
Median Absolute Deviation (MAD)61536
Skewness0.3382407
Sum1.8639874 × 108
Variance5.5658317 × 109
MonotonicityNot monotonic
2023-12-13T07:07:46.325245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
 
7.6%
192 8
 
0.4%
229440 7
 
0.4%
4800 7
 
0.4%
214080 6
 
0.3%
116160 5
 
0.3%
167040 5
 
0.3%
60480 5
 
0.3%
76800 5
 
0.3%
10560 5
 
0.3%
Other values (1264) 1621
89.1%
(Missing) 7
 
0.4%
ValueCountFrequency (%)
0 138
7.6%
48 1
 
0.1%
96 4
 
0.2%
192 8
 
0.4%
240 1
 
0.1%
288 1
 
0.1%
384 1
 
0.1%
432 1
 
0.1%
528 1
 
0.1%
576 3
 
0.2%
ValueCountFrequency (%)
414090 1
0.1%
386545 1
0.1%
262080 1
0.1%
260928 1
0.1%
260736 1
0.1%
259200 1
0.1%
259104 1
0.1%
256992 1
0.1%
256320 1
0.1%
255648 1
0.1%

10시
Real number (ℝ)

ZEROS 

Distinct1431
Distinct (%)79.0%
Missing8
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean199026.58
Minimum0
Maximum560996
Zeros100
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:46.432463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100608
median197808
Q3288144
95-th percentile412512
Maximum560996
Range560996
Interquartile range (IQR)187536

Descriptive statistics

Standard deviation125390.06
Coefficient of variation (CV)0.63001667
Kurtosis-0.88788999
Mean199026.58
Median Absolute Deviation (MAD)94320
Skewness0.17821685
Sum3.6043713 × 108
Variance1.5722667 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:46.553251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
 
5.5%
385920 7
 
0.4%
206400 6
 
0.3%
217920 5
 
0.3%
388800 5
 
0.3%
407040 5
 
0.3%
361920 4
 
0.2%
202560 4
 
0.2%
342720 4
 
0.2%
234240 4
 
0.2%
Other values (1421) 1667
91.6%
(Missing) 8
 
0.4%
ValueCountFrequency (%)
0 100
5.5%
96 3
 
0.2%
192 2
 
0.1%
384 1
 
0.1%
720 2
 
0.1%
960 1
 
0.1%
1104 1
 
0.1%
1344 1
 
0.1%
1440 1
 
0.1%
1584 1
 
0.1%
ValueCountFrequency (%)
560996 1
0.1%
535287 1
0.1%
468384 1
0.1%
463968 1
0.1%
460032 1
0.1%
456864 1
0.1%
456576 1
0.1%
456096 1
0.1%
455040 1
0.1%
453984 1
0.1%

11시
Real number (ℝ)

ZEROS 

Distinct1477
Distinct (%)81.6%
Missing8
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean291220.46
Minimum0
Maximum649139
Zeros76
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:46.675080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8328
Q1162408
median291168
Q3416280
95-th percentile561504
Maximum649139
Range649139
Interquartile range (IQR)253872

Descriptive statistics

Standard deviation166384.84
Coefficient of variation (CV)0.57133637
Kurtosis-0.93684502
Mean291220.46
Median Absolute Deviation (MAD)126576
Skewness0.0019461059
Sum5.2740026 × 108
Variance2.7683915 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:46.801194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 76
 
4.2%
511680 4
 
0.2%
514560 4
 
0.2%
525120 4
 
0.2%
471360 4
 
0.2%
540480 4
 
0.2%
444480 4
 
0.2%
538560 4
 
0.2%
244800 3
 
0.2%
548160 3
 
0.2%
Other values (1467) 1701
93.5%
(Missing) 8
 
0.4%
ValueCountFrequency (%)
0 76
4.2%
48 1
 
0.1%
96 1
 
0.1%
192 1
 
0.1%
768 2
 
0.1%
1584 1
 
0.1%
4032 1
 
0.1%
4608 1
 
0.1%
4656 1
 
0.1%
4800 1
 
0.1%
ValueCountFrequency (%)
649139 1
0.1%
628032 1
0.1%
618840 1
0.1%
615456 1
0.1%
609696 1
0.1%
607392 1
0.1%
606144 1
0.1%
605760 1
0.1%
604320 1
0.1%
602090 1
0.1%

12시
Real number (ℝ)

ZEROS 

Distinct1494
Distinct (%)82.4%
Missing6
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean355555.77
Minimum0
Maximum730944
Zeros78
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:46.937978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8073.6
Q1207936
median346704
Q3513600
95-th percentile661612.8
Maximum730944
Range730944
Interquartile range (IQR)305664

Descriptive statistics

Standard deviation199840.42
Coefficient of variation (CV)0.56205084
Kurtosis-0.9953113
Mean355555.77
Median Absolute Deviation (MAD)153456
Skewness-0.080359153
Sum6.4462261 × 108
Variance3.9936193 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:47.085149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
4.3%
628800 5
 
0.3%
323712 4
 
0.2%
343296 4
 
0.2%
624960 4
 
0.2%
623040 4
 
0.2%
607680 4
 
0.2%
615360 4
 
0.2%
642240 4
 
0.2%
675840 3
 
0.2%
Other values (1484) 1699
93.4%
(Missing) 6
 
0.3%
ValueCountFrequency (%)
0 78
4.3%
192 1
 
0.1%
576 1
 
0.1%
1152 1
 
0.1%
1824 1
 
0.1%
2016 1
 
0.1%
2880 1
 
0.1%
2976 1
 
0.1%
3840 1
 
0.1%
4848 1
 
0.1%
ValueCountFrequency (%)
730944 1
0.1%
725568 1
0.1%
719232 1
0.1%
717888 1
0.1%
712320 1
0.1%
709248 2
0.1%
708384 1
0.1%
703872 1
0.1%
703200 1
0.1%
702336 1
0.1%

13시
Real number (ℝ)

ZEROS 

Distinct1513
Distinct (%)83.5%
Missing6
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean389239.34
Minimum0
Maximum789504
Zeros80
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:47.217847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10128
Q1233184
median376416
Q3563520
95-th percentile719040
Maximum789504
Range789504
Interquartile range (IQR)330336

Descriptive statistics

Standard deviation217895.13
Coefficient of variation (CV)0.5597973
Kurtosis-0.99914904
Mean389239.34
Median Absolute Deviation (MAD)161952
Skewness-0.11079077
Sum7.0569092 × 108
Variance4.7478289 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:47.574551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
4.4%
451200 5
 
0.3%
592320 4
 
0.2%
452160 4
 
0.2%
694080 4
 
0.2%
512640 3
 
0.2%
663360 3
 
0.2%
538560 3
 
0.2%
667200 3
 
0.2%
40320 3
 
0.2%
Other values (1503) 1701
93.5%
(Missing) 6
 
0.3%
ValueCountFrequency (%)
0 80
4.4%
96 1
 
0.1%
480 1
 
0.1%
576 1
 
0.1%
1920 1
 
0.1%
2112 1
 
0.1%
2400 1
 
0.1%
2592 1
 
0.1%
2880 1
 
0.1%
4368 1
 
0.1%
ValueCountFrequency (%)
789504 1
0.1%
782496 1
0.1%
780576 1
0.1%
771648 1
0.1%
771360 1
0.1%
767904 1
0.1%
766464 1
0.1%
766176 1
0.1%
766080 2
0.1%
765216 1
0.1%

14시
Real number (ℝ)

ZEROS 

Distinct1509
Distinct (%)83.2%
Missing6
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean386152.12
Minimum0
Maximum806592
Zeros80
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:47.698753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2611.2
Q1214848
median372624
Q3575040
95-th percentile721824
Maximum806592
Range806592
Interquartile range (IQR)360192

Descriptive statistics

Standard deviation224022.55
Coefficient of variation (CV)0.58014067
Kurtosis-1.0841504
Mean386152.12
Median Absolute Deviation (MAD)178608
Skewness-0.071504832
Sum7.000938 × 108
Variance5.0186104 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:47.824059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
4.4%
672960 7
 
0.4%
657600 5
 
0.3%
706560 5
 
0.3%
640320 5
 
0.3%
670080 5
 
0.3%
646080 4
 
0.2%
669120 4
 
0.2%
676800 4
 
0.2%
702720 4
 
0.2%
Other values (1499) 1690
92.9%
(Missing) 6
 
0.3%
ValueCountFrequency (%)
0 80
4.4%
96 1
 
0.1%
384 1
 
0.1%
432 1
 
0.1%
480 1
 
0.1%
672 1
 
0.1%
864 1
 
0.1%
960 2
 
0.1%
1344 1
 
0.1%
1536 1
 
0.1%
ValueCountFrequency (%)
806592 1
0.1%
798336 1
0.1%
798144 1
0.1%
794688 1
0.1%
788160 1
0.1%
788064 1
0.1%
784416 1
0.1%
783360 1
0.1%
782304 2
0.1%
780672 1
0.1%

15시
Real number (ℝ)

ZEROS 

Distinct1517
Distinct (%)83.6%
Missing5
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean349735.79
Minimum0
Maximum764640
Zeros79
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:47.957077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4123.2
Q1180072
median330552
Q3509640
95-th percentile682459.2
Maximum764640
Range764640
Interquartile range (IQR)329568

Descriptive statistics

Standard deviation211712.06
Coefficient of variation (CV)0.60534858
Kurtosis-1.0900537
Mean349735.79
Median Absolute Deviation (MAD)168360
Skewness0.027236998
Sum6.3442072 × 108
Variance4.4821997 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:48.091542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 79
 
4.3%
626880 6
 
0.3%
627840 5
 
0.3%
623040 5
 
0.3%
604800 4
 
0.2%
663360 4
 
0.2%
442560 4
 
0.2%
640320 3
 
0.2%
624960 3
 
0.2%
584640 3
 
0.2%
Other values (1507) 1698
93.3%
(Missing) 5
 
0.3%
ValueCountFrequency (%)
0 79
4.3%
240 1
 
0.1%
384 1
 
0.1%
864 1
 
0.1%
1056 1
 
0.1%
1632 1
 
0.1%
2016 3
 
0.2%
2400 1
 
0.1%
3840 2
 
0.1%
3936 1
 
0.1%
ValueCountFrequency (%)
764640 1
0.1%
763488 1
0.1%
757440 1
0.1%
751392 1
0.1%
749184 1
0.1%
747360 1
0.1%
746112 1
0.1%
744384 1
0.1%
742656 1
0.1%
742080 1
0.1%

16시
Real number (ℝ)

ZEROS 

Distinct1480
Distinct (%)81.7%
Missing8
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean278783.44
Minimum0
Maximum671424
Zeros88
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:48.210998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144
Q1126288
median257376
Q3424656
95-th percentile586032
Maximum671424
Range671424
Interquartile range (IQR)298368

Descriptive statistics

Standard deviation185485.42
Coefficient of variation (CV)0.66533872
Kurtosis-1.102461
Mean278783.44
Median Absolute Deviation (MAD)152736
Skewness0.23139316
Sum5.0487681 × 108
Variance3.440484 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:48.328179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
 
4.8%
177600 5
 
0.3%
534720 5
 
0.3%
562560 4
 
0.2%
573120 4
 
0.2%
205440 4
 
0.2%
565440 4
 
0.2%
380160 4
 
0.2%
393600 4
 
0.2%
535680 4
 
0.2%
Other values (1470) 1685
92.6%
(Missing) 8
 
0.4%
ValueCountFrequency (%)
0 88
4.8%
48 1
 
0.1%
96 2
 
0.1%
192 2
 
0.1%
288 1
 
0.1%
384 1
 
0.1%
576 1
 
0.1%
864 1
 
0.1%
960 2
 
0.1%
1152 1
 
0.1%
ValueCountFrequency (%)
671424 1
0.1%
655296 1
0.1%
652896 1
0.1%
651168 1
0.1%
650496 1
0.1%
648384 1
0.1%
645888 1
0.1%
644256 1
0.1%
644160 1
0.1%
642240 1
0.1%

17시
Real number (ℝ)

ZEROS 

Distinct1391
Distinct (%)76.8%
Missing8
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean174442.67
Minimum0
Maximum512640
Zeros112
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:48.444292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145912
median144576
Q3292104
95-th percentile442656
Maximum512640
Range512640
Interquartile range (IQR)246192

Descriptive statistics

Standard deviation144537.22
Coefficient of variation (CV)0.82856576
Kurtosis-0.95026711
Mean174442.67
Median Absolute Deviation (MAD)109488
Skewness0.56023475
Sum3.1591567 × 108
Variance2.0891008 × 1010
MonotonicityNot monotonic
2023-12-13T07:07:48.552451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112
 
6.2%
28800 9
 
0.5%
431040 6
 
0.3%
65280 6
 
0.3%
45120 6
 
0.3%
53760 5
 
0.3%
29760 5
 
0.3%
246720 5
 
0.3%
47040 4
 
0.2%
416640 4
 
0.2%
Other values (1381) 1649
90.7%
(Missing) 8
 
0.4%
ValueCountFrequency (%)
0 112
6.2%
48 1
 
0.1%
96 3
 
0.2%
240 1
 
0.1%
336 2
 
0.1%
384 2
 
0.1%
672 1
 
0.1%
960 3
 
0.2%
997 1
 
0.1%
1152 1
 
0.1%
ValueCountFrequency (%)
512640 1
0.1%
498528 1
0.1%
492672 1
0.1%
489408 1
0.1%
487968 1
0.1%
487680 1
0.1%
483936 1
0.1%
481440 1
0.1%
481248 1
0.1%
480384 1
0.1%

18시
Real number (ℝ)

ZEROS 

Distinct1061
Distinct (%)58.6%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean78859.476
Minimum0
Maximum302304
Zeros254
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:48.651532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12592
median47376
Q3130824
95-th percentile264000
Maximum302304
Range302304
Interquartile range (IQR)128232

Descriptive statistics

Standard deviation87352.56
Coefficient of variation (CV)1.107699
Kurtosis-0.28777997
Mean78859.476
Median Absolute Deviation (MAD)47232
Skewness0.9674448
Sum1.4289337 × 108
Variance7.6304697 × 109
MonotonicityNot monotonic
2023-12-13T07:07:48.758528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 254
 
14.0%
96 23
 
1.3%
960 22
 
1.2%
1920 14
 
0.8%
2880 13
 
0.7%
3840 11
 
0.6%
144 9
 
0.5%
624 9
 
0.5%
192 9
 
0.5%
4800 9
 
0.5%
Other values (1051) 1439
79.1%
ValueCountFrequency (%)
0 254
14.0%
48 7
 
0.4%
96 23
 
1.3%
144 9
 
0.5%
192 9
 
0.5%
240 5
 
0.3%
288 4
 
0.2%
336 3
 
0.2%
384 2
 
0.1%
432 2
 
0.1%
ValueCountFrequency (%)
302304 1
0.1%
299040 1
0.1%
298848 1
0.1%
296160 1
0.1%
295776 1
0.1%
295296 1
0.1%
294720 1
0.1%
294432 1
0.1%
292896 1
0.1%
291840 2
0.1%

19시
Real number (ℝ)

ZEROS 

Distinct614
Distinct (%)33.9%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean19307.762
Minimum0
Maximum117504
Zeros751
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:48.861248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2112
Q329448
95-th percentile90240
Maximum117504
Range117504
Interquartile range (IQR)29448

Descriptive statistics

Standard deviation29200.884
Coefficient of variation (CV)1.5123909
Kurtosis1.445286
Mean19307.762
Median Absolute Deviation (MAD)2112
Skewness1.5734956
Sum34985664
Variance8.5269161 × 108
MonotonicityNot monotonic
2023-12-13T07:07:48.965833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 751
41.3%
96 20
 
1.1%
960 17
 
0.9%
48 13
 
0.7%
1920 11
 
0.6%
2880 11
 
0.6%
4800 10
 
0.5%
768 9
 
0.5%
8640 9
 
0.5%
6720 8
 
0.4%
Other values (604) 953
52.4%
ValueCountFrequency (%)
0 751
41.3%
48 13
 
0.7%
96 20
 
1.1%
144 2
 
0.1%
192 4
 
0.2%
240 7
 
0.4%
288 6
 
0.3%
336 2
 
0.1%
384 5
 
0.3%
480 3
 
0.2%
ValueCountFrequency (%)
117504 1
 
0.1%
116736 1
 
0.1%
115200 1
 
0.1%
115104 1
 
0.1%
114720 1
 
0.1%
114432 1
 
0.1%
114144 1
 
0.1%
113280 1
 
0.1%
112032 2
0.1%
110400 3
0.2%

20시
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)6.3%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean728.98013
Minimum0
Maximum17280
Zeros1337
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:49.068575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q396
95-th percentile4800
Maximum17280
Range17280
Interquartile range (IQR)96

Descriptive statistics

Standard deviation1914.877
Coefficient of variation (CV)2.626789
Kurtosis15.861893
Mean728.98013
Median Absolute Deviation (MAD)0
Skewness3.6512705
Sum1320912
Variance3666753.8
MonotonicityNot monotonic
2023-12-13T07:07:49.185009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1337
73.5%
960 31
 
1.7%
96 26
 
1.4%
3840 22
 
1.2%
1920 17
 
0.9%
2880 16
 
0.9%
4800 14
 
0.8%
192 13
 
0.7%
384 12
 
0.7%
8640 12
 
0.7%
Other values (105) 312
 
17.2%
ValueCountFrequency (%)
0 1337
73.5%
48 8
 
0.4%
96 26
 
1.4%
144 6
 
0.3%
192 13
 
0.7%
240 7
 
0.4%
288 10
 
0.5%
336 8
 
0.4%
384 12
 
0.7%
432 5
 
0.3%
ValueCountFrequency (%)
17280 1
 
0.1%
15360 2
 
0.1%
13440 1
 
0.1%
11520 4
 
0.2%
10560 5
0.3%
10080 1
 
0.1%
9600 6
0.3%
8640 12
0.7%
8304 1
 
0.1%
7824 1
 
0.1%

21시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:49.303739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:49.390912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

22시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1812 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.0115448
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1812
99.6%
<NA> 7
 
0.4%

Length

2023-12-13T07:07:49.481804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:49.567040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1812
99.6%
na 7
 
0.4%

23시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1811 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0131941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1811
99.6%
<NA> 8
 
0.4%

Length

2023-12-13T07:07:49.660247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:49.753913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1811
99.6%
na 8
 
0.4%

24시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
0
1811 
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0131941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1811
99.6%
<NA> 8
 
0.4%

Length

2023-12-13T07:07:49.848957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:49.936064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1811
99.6%
na 8
 
0.4%

합계
Real number (ℝ)

ZEROS 

Distinct1716
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2654029.5
Minimum0
Maximum5899008
Zeros72
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2023-12-13T07:07:50.030762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile102312
Q11554360
median2592480
Q33765528
95-th percentile5199331.2
Maximum5899008
Range5899008
Interquartile range (IQR)2211168

Descriptive statistics

Standard deviation1502944
Coefficient of variation (CV)0.56628761
Kurtosis-0.8338046
Mean2654029.5
Median Absolute Deviation (MAD)1126800
Skewness0.087941252
Sum4.8276797 × 109
Variance2.2588408 × 1012
MonotonicityNot monotonic
2023-12-13T07:07:50.168915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
 
4.0%
3948480 3
 
0.2%
2927040 2
 
0.1%
1889280 2
 
0.1%
2712000 2
 
0.1%
1612800 2
 
0.1%
1352832 2
 
0.1%
3764736 2
 
0.1%
3877440 2
 
0.1%
3300480 2
 
0.1%
Other values (1706) 1728
95.0%
ValueCountFrequency (%)
0 72
4.0%
48 1
 
0.1%
384 1
 
0.1%
2016 1
 
0.1%
2400 1
 
0.1%
8640 1
 
0.1%
10176 1
 
0.1%
10656 1
 
0.1%
11904 1
 
0.1%
14784 1
 
0.1%
ValueCountFrequency (%)
5899008 1
0.1%
5791008 1
0.1%
5771136 1
0.1%
5769216 1
0.1%
5741376 1
0.1%
5724768 1
0.1%
5721696 1
0.1%
5690880 1
0.1%
5686176 1
0.1%
5677440 1
0.1%

Sample

날짜설비용량(MW)경도위도발전기명01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시합계
02022-04-010.737.05075126.5103당진자재창고태양광0000001728344641428002981284309445037605450885519045325604648323488641407848112000004003968
12022-04-020.737.05075126.5103당진자재창고태양광0000001488360961499043031204272965022245446085469125216644420322796489043222128000003867552
22022-04-030.737.05075126.5103당진자재창고태양광00000016803816014697629707241774449132853256054105650755243598432198413324812000000003877344
32022-04-040.737.05075126.5103당진자재창고태양광00000021603921614846430120041582449819253424054576051787244932832836813862411184000003930432
42022-04-050.737.05075126.5103당진자재창고태양광0000002976489601474562719203763684100164692964830244364643261122359209086416080000003315456
52022-04-060.737.05075126.5103당진자재창고태양광00000001435210065618748842201649060852564852536049219242484831142413598412336000003642912
62022-04-070.737.05075126.5103당진자재창고태양광00000002299213478429136041731249987254336054451250563243382432020813752013680000003865056
72022-04-080.737.05075126.5103당진자재창고태양광00000024484161615268830259241812849396852910452929649780843248032476814361612048000003880560
82022-04-090.737.05075126.5103당진자재창고태양광0000003840265448289626212838899234070449368050328047049639220826414411289617040000003358848
92022-04-100.737.05075126.5103당진자재창고태양광00000031204348814606428382439369645921649636850227247976041515230835214020814400000003685920
날짜설비용량(MW)경도위도발전기명01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시합계
18092023-06-210.535.47765129.3808울산태양광#100000017285328955232784236643595235760751209907252368377281065632641920000423168
18102023-06-220.535.47765129.3808울산태양광#100000014496765601054561666082938082885282041441818722050082039041640161087682664052800002040336
18112023-06-230.535.47765129.3808울산태양광#10000014419536770401636802448003049923412803598563575043132482549281470246787237632307200002692608
18122023-06-240.535.47765129.3808울산태양광#10000024019200586561093921782242579523042723477123447362760482419201836008788837920273600002450496
18132023-06-250.535.47765129.3808울산태양광#10000096196327099212499215628819737625891216430416641617131220016048480283207296000001614576
18142023-06-260.535.47765129.3808울산태양광#1000000048020592521285904087072151392116880726249758410795258512133442880000837888
18152023-06-270.535.47765129.3808울산태양광#100000010464701281459681975201850882424003097443547202906401330081100646940821792139200002142336
18162023-06-280.535.47765129.3808울산태양광#10000000782443104653281117441983841244161243682176802682721712167046426208201600001431024
18172023-06-290.535.47765129.3808울산태양광#1000002881876884240145008214704185472117120139632747843854435856295683744528000001088256
18182023-06-300.535.47765129.3808울산태양광#100000028814413056372484468865760688801276321210565184043104362401286400000622800