Overview

Dataset statistics

Number of variables29
Number of observations366
Missing cells16
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.3 KiB
Average record size in memory258.4 B

Variable types

DateTime1
Categorical13
Numeric15

Dataset

Description한국농어촌공사 진도지사 태양광발전소에 대한 일일시간대 발전량 데이터(매일 시간별, 발전기 코드, 발전기 명) 제공
Author한국농어촌공사
URLhttps://www.data.go.kr/data/15080933/fileData.do

Alerts

발전기코드 is highly imbalanced (97.3%)Imbalance
발전기명 is highly imbalanced (97.3%)Imbalance
충전_방전 is highly imbalanced (97.3%)Imbalance
01시 is highly imbalanced (97.3%)Imbalance
02시 is highly imbalanced (97.3%)Imbalance
03시 is highly imbalanced (97.3%)Imbalance
04시 is highly imbalanced (97.3%)Imbalance
05시 is highly imbalanced (97.3%)Imbalance
06시 is highly imbalanced (97.3%)Imbalance
21시 is highly imbalanced (97.3%)Imbalance
22시 is highly imbalanced (97.3%)Imbalance
23시 is highly imbalanced (97.3%)Imbalance
24시 is highly imbalanced (97.3%)Imbalance
07시 has 268 (73.2%) zerosZeros
08시 has 121 (33.1%) zerosZeros
09시 has 15 (4.1%) zerosZeros
11시 has 6 (1.6%) zerosZeros
12시 has 19 (5.2%) zerosZeros
13시 has 29 (7.9%) zerosZeros
14시 has 38 (10.4%) zerosZeros
15시 has 43 (11.7%) zerosZeros
16시 has 48 (13.1%) zerosZeros
17시 has 56 (15.3%) zerosZeros
18시 has 102 (27.9%) zerosZeros
19시 has 226 (61.7%) zerosZeros
20시 has 326 (89.1%) zerosZeros

Reproduction

Analysis started2023-12-12 01:20:59.878164
Analysis finished2023-12-12 01:21:00.263013
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct365
Distinct (%)100.0%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
Minimum2019-01-01 00:00:00
Maximum2019-12-31 00:00:00
2023-12-12T10:21:00.353883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:21:00.526150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발전기코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
9389
365 
<NA>
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row9389
2nd row9389
3rd row9389
4th row9389
5th row9389

Common Values

ValueCountFrequency (%)
9389 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:00.734158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:00.885466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9389 365
99.7%
na 1
 
0.3%

발전기명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
농촌공진도태양광
365 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.989071
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
농촌공진도태양광 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:01.061726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:01.186648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌공진도태양광 365
99.7%
na 1
 
0.3%

충전_방전
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
방전
365 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0054645
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
방전 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:01.360418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:01.518569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방전 365
99.7%
na 1
 
0.3%

01시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:01.997380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:02.120313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

02시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:02.277484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:02.427266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

03시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:02.592618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:02.723668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

04시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:02.856120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:02.972578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

05시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:03.145118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:03.266154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

06시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:03.411279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:03.558131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

07시
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)24.9%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean8439.5836
Minimum0
Maximum81288
Zeros268
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:03.720293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37992
95-th percentile50284.8
Maximum81288
Range81288
Interquartile range (IQR)7992

Descriptive statistics

Standard deviation16900.336
Coefficient of variation (CV)2.0025083
Kurtosis3.4011852
Mean8439.5836
Median Absolute Deviation (MAD)0
Skewness2.0749029
Sum3080448
Variance2.8562137 × 108
MonotonicityNot monotonic
2023-12-12T10:21:03.947483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 268
73.2%
19656 2
 
0.5%
55296 2
 
0.5%
47520 2
 
0.5%
7488 2
 
0.5%
8136 2
 
0.5%
25920 2
 
0.5%
14184 2
 
0.5%
7704 1
 
0.3%
48744 1
 
0.3%
Other values (81) 81
 
22.1%
ValueCountFrequency (%)
0 268
73.2%
7488 2
 
0.5%
7560 1
 
0.3%
7704 1
 
0.3%
7848 1
 
0.3%
7992 1
 
0.3%
8136 2
 
0.5%
8568 1
 
0.3%
10080 1
 
0.3%
10152 1
 
0.3%
ValueCountFrequency (%)
81288 1
0.3%
70848 1
0.3%
67752 1
0.3%
67680 1
0.3%
61776 1
0.3%
60984 1
0.3%
60264 1
0.3%
59904 1
0.3%
59472 1
0.3%
59400 1
0.3%

08시
Real number (ℝ)

ZEROS 

Distinct229
Distinct (%)62.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean53859.945
Minimum0
Maximum236808
Zeros121
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:04.161081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32544
Q391944
95-th percentile182001.6
Maximum236808
Range236808
Interquartile range (IQR)91944

Descriptive statistics

Standard deviation60342.376
Coefficient of variation (CV)1.1203572
Kurtosis-0.023029461
Mean53859.945
Median Absolute Deviation (MAD)32544
Skewness1.0204718
Sum19658880
Variance3.6412023 × 109
MonotonicityNot monotonic
2023-12-12T10:21:04.358893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 121
33.1%
33984 3
 
0.8%
34272 3
 
0.8%
50544 2
 
0.5%
195624 2
 
0.5%
60840 2
 
0.5%
54288 2
 
0.5%
74448 2
 
0.5%
50112 2
 
0.5%
97560 2
 
0.5%
Other values (219) 224
61.2%
ValueCountFrequency (%)
0 121
33.1%
7416 1
 
0.3%
7560 1
 
0.3%
7632 1
 
0.3%
8136 1
 
0.3%
8280 1
 
0.3%
8352 1
 
0.3%
8424 1
 
0.3%
8496 1
 
0.3%
9288 1
 
0.3%
ValueCountFrequency (%)
236808 1
0.3%
219456 1
0.3%
209448 1
0.3%
204552 1
0.3%
202464 1
0.3%
201600 1
0.3%
201096 1
0.3%
199152 1
0.3%
197208 1
0.3%
195624 2
0.5%

09시
Real number (ℝ)

ZEROS 

Distinct339
Distinct (%)92.9%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean159604.87
Minimum0
Maximum430776
Zeros15
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:04.541846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8726.4
Q153496
median148176
Q3251856
95-th percentile371217.6
Maximum430776
Range430776
Interquartile range (IQR)198360

Descriptive statistics

Standard deviation118868.68
Coefficient of variation (CV)0.74476855
Kurtosis-0.94321076
Mean159604.87
Median Absolute Deviation (MAD)97920
Skewness0.46405706
Sum58255776
Variance1.4129764 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:04.728036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
4.1%
159696 3
 
0.8%
10440 2
 
0.5%
32328 2
 
0.5%
211176 2
 
0.5%
92016 2
 
0.5%
51624 2
 
0.5%
160920 2
 
0.5%
148824 2
 
0.5%
90576 2
 
0.5%
Other values (329) 331
90.4%
ValueCountFrequency (%)
0 15
4.1%
6984 1
 
0.3%
7344 1
 
0.3%
7848 1
 
0.3%
8712 1
 
0.3%
8784 1
 
0.3%
9864 1
 
0.3%
10224 1
 
0.3%
10440 2
 
0.5%
11088 1
 
0.3%
ValueCountFrequency (%)
430776 1
0.3%
426384 1
0.3%
419760 1
0.3%
408096 1
0.3%
406152 1
0.3%
403992 1
0.3%
401976 1
0.3%
399744 1
0.3%
399528 1
0.3%
393624 1
0.3%

10시
Real number (ℝ)

Distinct356
Distinct (%)97.5%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean295681.71
Minimum0
Maximum623952
Zeros3
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:04.902603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31752
Q1142632
median287136
Q3455184
95-th percentile555480
Maximum623952
Range623952
Interquartile range (IQR)312552

Descriptive statistics

Standard deviation171775.23
Coefficient of variation (CV)0.58094643
Kurtosis-1.2705463
Mean295681.71
Median Absolute Deviation (MAD)155736
Skewness-0.0075219884
Sum1.0792382 × 108
Variance2.9506731 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:05.086887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.8%
259776 2
 
0.5%
173376 2
 
0.5%
194184 2
 
0.5%
544824 2
 
0.5%
226152 2
 
0.5%
548352 2
 
0.5%
196992 2
 
0.5%
87264 1
 
0.3%
111600 1
 
0.3%
Other values (346) 346
94.5%
ValueCountFrequency (%)
0 3
0.8%
8928 1
 
0.3%
13464 1
 
0.3%
14616 1
 
0.3%
14976 1
 
0.3%
15192 1
 
0.3%
16200 1
 
0.3%
19656 1
 
0.3%
22248 1
 
0.3%
25272 1
 
0.3%
ValueCountFrequency (%)
623952 1
0.3%
613728 1
0.3%
593280 1
0.3%
583920 1
0.3%
579888 1
0.3%
577224 1
0.3%
576000 1
0.3%
573264 1
0.3%
571680 1
0.3%
568800 1
0.3%

11시
Real number (ℝ)

ZEROS 

Distinct352
Distinct (%)96.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean399720.13
Minimum0
Maximum809784
Zeros6
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:05.292861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41817.6
Q1199584
median438840
Q3594360
95-th percentile715636.8
Maximum809784
Range809784
Interquartile range (IQR)394776

Descriptive statistics

Standard deviation221065.51
Coefficient of variation (CV)0.55305074
Kurtosis-1.1549445
Mean399720.13
Median Absolute Deviation (MAD)201096
Skewness-0.19601615
Sum1.4589785 × 108
Variance4.8869961 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:05.489658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
1.6%
485928 3
 
0.8%
494352 2
 
0.5%
480600 2
 
0.5%
651096 2
 
0.5%
493344 2
 
0.5%
491904 2
 
0.5%
493848 2
 
0.5%
331776 1
 
0.3%
196560 1
 
0.3%
Other values (342) 342
93.4%
ValueCountFrequency (%)
0 6
1.6%
17208 1
 
0.3%
18792 1
 
0.3%
21672 1
 
0.3%
23904 1
 
0.3%
26784 1
 
0.3%
27288 1
 
0.3%
30456 1
 
0.3%
32904 1
 
0.3%
33768 1
 
0.3%
ValueCountFrequency (%)
809784 1
0.3%
779256 1
0.3%
767016 1
0.3%
756072 1
0.3%
754416 1
0.3%
751896 1
0.3%
745416 1
0.3%
742536 1
0.3%
739296 1
0.3%
738288 1
0.3%

12시
Real number (ℝ)

ZEROS 

Distinct335
Distinct (%)91.8%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean446424.85
Minimum0
Maximum898200
Zeros19
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:05.717640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2462.4
Q1217728
median483912
Q3705816
95-th percentile818438.4
Maximum898200
Range898200
Interquartile range (IQR)488088

Descriptive statistics

Standard deviation263018.71
Coefficient of variation (CV)0.58916682
Kurtosis-1.2332802
Mean446424.85
Median Absolute Deviation (MAD)250128
Skewness-0.132629
Sum1.6294507 × 108
Variance6.9178843 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:05.913675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
5.2%
494064 2
 
0.5%
492264 2
 
0.5%
869112 2
 
0.5%
223416 2
 
0.5%
223992 2
 
0.5%
167472 2
 
0.5%
772992 2
 
0.5%
493560 2
 
0.5%
410184 2
 
0.5%
Other values (325) 328
89.6%
ValueCountFrequency (%)
0 19
5.2%
12312 1
 
0.3%
14760 1
 
0.3%
22104 1
 
0.3%
25416 1
 
0.3%
26352 1
 
0.3%
29088 1
 
0.3%
40680 1
 
0.3%
41832 1
 
0.3%
46656 1
 
0.3%
ValueCountFrequency (%)
898200 1
0.3%
869112 2
0.5%
866664 1
0.3%
853488 1
0.3%
849672 1
0.3%
843120 1
0.3%
837792 1
0.3%
833256 1
0.3%
831672 1
0.3%
830016 1
0.3%

13시
Real number (ℝ)

ZEROS 

Distinct329
Distinct (%)90.1%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean452016.59
Minimum0
Maximum941616
Zeros29
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:06.112058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1188784
median474984
Q3746712
95-th percentile865670.4
Maximum941616
Range941616
Interquartile range (IQR)557928

Descriptive statistics

Standard deviation285552.78
Coefficient of variation (CV)0.63173075
Kurtosis-1.2678395
Mean452016.59
Median Absolute Deviation (MAD)284328
Skewness-0.035946509
Sum1.6498606 × 108
Variance8.1540391 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:06.321402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
7.9%
493848 2
 
0.5%
470592 2
 
0.5%
493704 2
 
0.5%
492264 2
 
0.5%
493200 2
 
0.5%
492984 2
 
0.5%
125712 2
 
0.5%
226656 2
 
0.5%
191520 1
 
0.3%
Other values (319) 319
87.2%
ValueCountFrequency (%)
0 29
7.9%
14472 1
 
0.3%
20232 1
 
0.3%
20520 1
 
0.3%
26280 1
 
0.3%
38448 1
 
0.3%
41400 1
 
0.3%
41760 1
 
0.3%
44640 1
 
0.3%
46440 1
 
0.3%
ValueCountFrequency (%)
941616 1
0.3%
917640 1
0.3%
913464 1
0.3%
904752 1
0.3%
904320 1
0.3%
888768 1
0.3%
886032 1
0.3%
882792 1
0.3%
878904 1
0.3%
874728 1
0.3%

14시
Real number (ℝ)

ZEROS 

Distinct317
Distinct (%)86.8%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean432722.17
Minimum0
Maximum937584
Zeros38
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:06.519558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1169200
median472680
Q3726840
95-th percentile842673.6
Maximum937584
Range937584
Interquartile range (IQR)557640

Descriptive statistics

Standard deviation289048.82
Coefficient of variation (CV)0.66797785
Kurtosis-1.3585615
Mean432722.17
Median Absolute Deviation (MAD)278856
Skewness-0.043089277
Sum1.5794359 × 108
Variance8.3549223 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:06.724948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
10.4%
765072 2
 
0.5%
491112 2
 
0.5%
492984 2
 
0.5%
174672 2
 
0.5%
731160 2
 
0.5%
490176 2
 
0.5%
492552 2
 
0.5%
494280 2
 
0.5%
744048 2
 
0.5%
Other values (307) 309
84.4%
ValueCountFrequency (%)
0 38
10.4%
12456 1
 
0.3%
26928 1
 
0.3%
29016 1
 
0.3%
30024 1
 
0.3%
30600 1
 
0.3%
34560 1
 
0.3%
39744 1
 
0.3%
41328 1
 
0.3%
41616 1
 
0.3%
ValueCountFrequency (%)
937584 1
0.3%
909288 1
0.3%
898056 1
0.3%
897912 1
0.3%
881784 1
0.3%
878976 1
0.3%
868392 1
0.3%
862632 1
0.3%
861408 1
0.3%
859896 1
0.3%

15시
Real number (ℝ)

ZEROS 

Distinct316
Distinct (%)86.6%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean381226.59
Minimum0
Maximum856872
Zeros43
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:06.952783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1124272
median419256
Q3638208
95-th percentile770860.8
Maximum856872
Range856872
Interquartile range (IQR)513936

Descriptive statistics

Standard deviation264206.97
Coefficient of variation (CV)0.69304444
Kurtosis-1.3656933
Mean381226.59
Median Absolute Deviation (MAD)251784
Skewness-0.036109128
Sum1.391477 × 108
Variance6.9805321 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:07.190601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
11.7%
559728 2
 
0.5%
494136 2
 
0.5%
594360 2
 
0.5%
682632 2
 
0.5%
108000 2
 
0.5%
492840 2
 
0.5%
493344 2
 
0.5%
397584 1
 
0.3%
113472 1
 
0.3%
Other values (306) 306
83.6%
ValueCountFrequency (%)
0 43
11.7%
8928 1
 
0.3%
9288 1
 
0.3%
12672 1
 
0.3%
16848 1
 
0.3%
22392 1
 
0.3%
22608 1
 
0.3%
22680 1
 
0.3%
33624 1
 
0.3%
37296 1
 
0.3%
ValueCountFrequency (%)
856872 1
0.3%
841896 1
0.3%
840096 1
0.3%
831240 1
0.3%
823104 1
0.3%
814536 1
0.3%
811440 1
0.3%
798552 1
0.3%
793584 1
0.3%
792144 1
0.3%

16시
Real number (ℝ)

ZEROS 

Distinct306
Distinct (%)83.8%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean289036.6
Minimum0
Maximum691776
Zeros48
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:07.414756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q192376
median299736
Q3489528
95-th percentile599659.2
Maximum691776
Range691776
Interquartile range (IQR)397152

Descriptive statistics

Standard deviation209538.88
Coefficient of variation (CV)0.72495619
Kurtosis-1.4200951
Mean289036.6
Median Absolute Deviation (MAD)191592
Skewness0.037821035
Sum1.0549836 × 108
Variance4.390654 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:07.609312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
13.1%
492840 3
 
0.8%
488736 2
 
0.5%
92736 2
 
0.5%
45864 2
 
0.5%
490824 2
 
0.5%
489528 2
 
0.5%
506520 2
 
0.5%
491616 2
 
0.5%
492696 2
 
0.5%
Other values (296) 298
81.4%
ValueCountFrequency (%)
0 48
13.1%
7848 1
 
0.3%
10512 1
 
0.3%
11880 1
 
0.3%
18720 1
 
0.3%
21456 1
 
0.3%
23040 1
 
0.3%
25920 1
 
0.3%
26280 1
 
0.3%
31752 1
 
0.3%
ValueCountFrequency (%)
691776 1
0.3%
669960 1
0.3%
660384 1
0.3%
658584 1
0.3%
656280 1
0.3%
653400 1
0.3%
643248 1
0.3%
638784 1
0.3%
636984 1
0.3%
635904 1
0.3%

17시
Real number (ℝ)

ZEROS 

Distinct303
Distinct (%)83.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean170155.53
Minimum0
Maximum457344
Zeros56
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:08.170042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140752
median126000
Q3302112
95-th percentile419832
Maximum457344
Range457344
Interquartile range (IQR)261360

Descriptive statistics

Standard deviation146649.03
Coefficient of variation (CV)0.86185284
Kurtosis-1.2285213
Mean170155.53
Median Absolute Deviation (MAD)113544
Skewness0.45863924
Sum62106768
Variance2.1505937 × 1010
MonotonicityNot monotonic
2023-12-12T10:21:08.340433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
15.3%
396432 2
 
0.5%
414000 2
 
0.5%
277776 2
 
0.5%
335736 2
 
0.5%
49104 2
 
0.5%
33984 2
 
0.5%
72504 2
 
0.5%
243792 1
 
0.3%
323784 1
 
0.3%
Other values (293) 293
80.1%
ValueCountFrequency (%)
0 56
15.3%
8496 1
 
0.3%
9504 1
 
0.3%
12456 1
 
0.3%
12816 1
 
0.3%
14040 1
 
0.3%
17136 1
 
0.3%
17280 1
 
0.3%
18936 1
 
0.3%
21528 1
 
0.3%
ValueCountFrequency (%)
457344 1
0.3%
446688 1
0.3%
446328 1
0.3%
443448 1
0.3%
441288 1
0.3%
440424 1
0.3%
434736 1
0.3%
434376 1
0.3%
433080 1
0.3%
430488 1
0.3%

18시
Real number (ℝ)

ZEROS 

Distinct248
Distinct (%)67.9%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean68610.674
Minimum0
Maximum295416
Zeros102
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:08.526480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32328
Q3118800
95-th percentile224539.2
Maximum295416
Range295416
Interquartile range (IQR)118800

Descriptive statistics

Standard deviation77416.024
Coefficient of variation (CV)1.1283379
Kurtosis-0.33464327
Mean68610.674
Median Absolute Deviation (MAD)32328
Skewness0.96569724
Sum25042896
Variance5.9932408 × 109
MonotonicityNot monotonic
2023-12-12T10:21:08.762049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102
27.9%
20088 3
 
0.8%
9504 2
 
0.5%
56520 2
 
0.5%
7344 2
 
0.5%
33912 2
 
0.5%
25848 2
 
0.5%
30456 2
 
0.5%
7200 2
 
0.5%
28152 2
 
0.5%
Other values (238) 244
66.7%
ValueCountFrequency (%)
0 102
27.9%
7200 2
 
0.5%
7272 2
 
0.5%
7344 2
 
0.5%
7704 1
 
0.3%
8208 1
 
0.3%
8280 1
 
0.3%
8424 1
 
0.3%
8496 2
 
0.5%
8856 1
 
0.3%
ValueCountFrequency (%)
295416 1
0.3%
273816 1
0.3%
255600 1
0.3%
248400 1
0.3%
245808 1
0.3%
245592 1
0.3%
243000 1
0.3%
238824 1
0.3%
238320 1
0.3%
237816 1
0.3%

19시
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)35.1%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean17247.649
Minimum0
Maximum146016
Zeros226
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:08.987047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322464
95-th percentile89064
Maximum146016
Range146016
Interquartile range (IQR)22464

Descriptive statistics

Standard deviation29459.566
Coefficient of variation (CV)1.7080337
Kurtosis2.3912356
Mean17247.649
Median Absolute Deviation (MAD)0
Skewness1.8171247
Sum6295392
Variance8.6786601 × 108
MonotonicityNot monotonic
2023-12-12T10:21:09.159733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 226
61.7%
19152 2
 
0.5%
80568 2
 
0.5%
72216 2
 
0.5%
72504 2
 
0.5%
51984 2
 
0.5%
29376 2
 
0.5%
24264 2
 
0.5%
96912 2
 
0.5%
22464 2
 
0.5%
Other values (118) 121
33.1%
ValueCountFrequency (%)
0 226
61.7%
7560 1
 
0.3%
8208 1
 
0.3%
8496 1
 
0.3%
9360 1
 
0.3%
9720 1
 
0.3%
9936 1
 
0.3%
10224 2
 
0.5%
10296 1
 
0.3%
10440 1
 
0.3%
ValueCountFrequency (%)
146016 1
0.3%
112536 1
0.3%
110664 1
0.3%
106416 1
0.3%
105336 1
0.3%
102456 1
0.3%
101592 1
0.3%
101304 1
0.3%
100728 1
0.3%
97992 1
0.3%

20시
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)10.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1514.1699
Minimum0
Maximum27000
Zeros326
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:09.321118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13579.2
Maximum27000
Range27000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4690.0295
Coefficient of variation (CV)3.0974263
Kurtosis9.5384726
Mean1514.1699
Median Absolute Deviation (MAD)0
Skewness3.188046
Sum552672
Variance21996377
MonotonicityNot monotonic
2023-12-12T10:21:09.452663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 326
89.1%
7272 2
 
0.5%
15192 1
 
0.3%
18720 1
 
0.3%
22896 1
 
0.3%
27000 1
 
0.3%
20016 1
 
0.3%
13608 1
 
0.3%
13032 1
 
0.3%
12672 1
 
0.3%
Other values (29) 29
 
7.9%
ValueCountFrequency (%)
0 326
89.1%
7272 2
 
0.5%
7488 1
 
0.3%
7632 1
 
0.3%
7848 1
 
0.3%
8136 1
 
0.3%
8856 1
 
0.3%
8928 1
 
0.3%
9072 1
 
0.3%
9288 1
 
0.3%
ValueCountFrequency (%)
27000 1
0.3%
23256 1
0.3%
22896 1
0.3%
22176 1
0.3%
21096 1
0.3%
20304 1
0.3%
20016 1
0.3%
19152 1
0.3%
18720 1
0.3%
17640 1
0.3%

21시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:09.593883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:09.724945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

22시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:09.874933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:10.017913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

23시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:10.165006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:10.323696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

24시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0081967
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T10:21:10.474735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:21:10.606626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
na 1
 
0.3%

합계
Real number (ℝ)

Distinct363
Distinct (%)99.5%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean3176261.1
Minimum92304
Maximum6479640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T10:21:10.723969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92304
5-th percentile628070.4
Q11509984
median3300768
Q34673016
95-th percentile5847220.8
Maximum6479640
Range6387336
Interquartile range (IQR)3163032

Descriptive statistics

Standard deviation1744079
Coefficient of variation (CV)0.54909813
Kurtosis-1.281666
Mean3176261.1
Median Absolute Deviation (MAD)1589400
Skewness-0.025768153
Sum1.1593353 × 109
Variance3.0418116 × 1012
MonotonicityNot monotonic
2023-12-12T10:21:10.892934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1207008 2
 
0.5%
4268376 2
 
0.5%
1613304 1
 
0.3%
1136520 1
 
0.3%
1427400 1
 
0.3%
2109096 1
 
0.3%
1460016 1
 
0.3%
2840616 1
 
0.3%
1237248 1
 
0.3%
1649952 1
 
0.3%
Other values (353) 353
96.4%
ValueCountFrequency (%)
92304 1
0.3%
143280 1
0.3%
181512 1
0.3%
195264 1
0.3%
211968 1
0.3%
283176 1
0.3%
341280 1
0.3%
363312 1
0.3%
394128 1
0.3%
426024 1
0.3%
ValueCountFrequency (%)
6479640 1
0.3%
6458544 1
0.3%
6453432 1
0.3%
6453072 1
0.3%
6409944 1
0.3%
6160752 1
0.3%
6157008 1
0.3%
6152688 1
0.3%
6148080 1
0.3%
6129000 1
0.3%

Sample

날짜발전기코드발전기명충전_방전01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시합계
02019-01-019389농촌공진도태양광방전00000000030888331776379152186120165960397584942482757600000001613304
12019-01-029389농촌공진도태양광방전000000007344847442340722310482096643859922216881558082397600000001554336
22019-01-039389농촌공진도태양광방전00000000540722655366035044494248887688683927745044286888719284960000004428576
32019-01-049389농촌공진도태양광방전00000000225367300860048753841708561092966314439888264960000000640656
42019-01-059389농촌공진도태양광방전00000000048024827282234167050248159767557124521609216082080000003183408
52019-01-069389농촌공진도태양광방전0000000050472262224594864820224870912859680778248420048102312118080000004770792
62019-01-079389농촌공진도태양광방전00000000540722597765802487670888285047773845214962444407538498640000004118256
72019-01-089389농촌공진도태양광방전0000000018360584643810966039362728081386001630801953364910400000001880784
82019-01-099389농촌공진도태양광방전000000006825625855251141647102432515224897633991214292080352137520000002460312
92019-01-109389농촌공진도태양광방전00000000174967560019519275895280035240204878120777603405600000002439576
날짜발전기코드발전기명충전_방전01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시합계
3562019-12-239389농촌공진도태양광방전000000001756870488906482442244666324001044924802919607416000000002148264
3572019-12-249389농촌공진도태양광방전00000000324002103843954967216567969687575846474963008885774472720000003927888
3582019-12-259389농촌공진도태양광방전00000000578162386085631847148167320245635444581362748963398400000003637008
3592019-12-269389농촌공진도태양광방전00000000025416585369792011044879056663841872000000000456480
3602019-12-279389농촌공진도태양광방전000000008784331209136811102414551216048811908899576548647200000000831024
3612019-12-289389농촌공진도태양광방전00000000516242515684888806855127292887132326111362948406811284960000003902688
3622019-12-299389농촌공진도태양광방전00000000104402844033768466564464055368408242304000000000283176
3632019-12-309389농촌공진도태양광방전000000000300244262411116822665617424013356065232171360000000800640
3642019-12-319389농촌공진도태양광방전00000000126001103762696402803683784323271684013281135444773600000001941192
365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>