Overview

Dataset statistics

Number of variables27
Number of observations2196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory517.0 KiB
Average record size in memory241.1 B

Variable types

DateTime1
Numeric25
Categorical1

Dataset

Description한국남동발전 삼천포 화력 발전의 시간대별 발전량 정보입니다. 1호기~6호기의 시간에 따른 화력 발전량 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15085586/fileData.do

Alerts

구분 has constant value ""Constant
01(MWh) has 1086 (49.5%) zerosZeros
02(MWh) has 1086 (49.5%) zerosZeros
03(MWh) has 1086 (49.5%) zerosZeros
04(MWh) has 1086 (49.5%) zerosZeros
05(MWh) has 1086 (49.5%) zerosZeros
06(MWh) has 1086 (49.5%) zerosZeros
07(MWh) has 1085 (49.4%) zerosZeros
08(MWh) has 1085 (49.4%) zerosZeros
09(MWh) has 1084 (49.4%) zerosZeros
10(MWh) has 1086 (49.5%) zerosZeros
11(MWh) has 1087 (49.5%) zerosZeros
12(MWh) has 1088 (49.5%) zerosZeros
13(MWh) has 1087 (49.5%) zerosZeros
14(MWh) has 1085 (49.4%) zerosZeros
15(MWh) has 1083 (49.3%) zerosZeros
16(MWh) has 1082 (49.3%) zerosZeros
17(MWh) has 1082 (49.3%) zerosZeros
18(MWh) has 1083 (49.3%) zerosZeros
19(MWh) has 1083 (49.3%) zerosZeros
20(MWh) has 1083 (49.3%) zerosZeros
21(MWh) has 1083 (49.3%) zerosZeros
22(MWh) has 1081 (49.2%) zerosZeros
23(MWh) has 1082 (49.3%) zerosZeros
24(MWh) has 1082 (49.3%) zerosZeros

Reproduction

Analysis started2023-12-12 21:02:03.918338
Analysis finished2023-12-12 21:02:04.133160
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

Distinct366
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
Minimum2020-01-01 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T06:02:04.186891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:02:04.295619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:04.384963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7082141
Coefficient of variation (CV)0.48806117
Kurtosis-1.2687273
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum7686
Variance2.9179954
MonotonicityNot monotonic
2023-12-13T06:02:04.466285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 366
16.7%
2 366
16.7%
3 366
16.7%
4 366
16.7%
5 366
16.7%
6 366
16.7%
ValueCountFrequency (%)
1 366
16.7%
2 366
16.7%
3 366
16.7%
4 366
16.7%
5 366
16.7%
6 366
16.7%
ValueCountFrequency (%)
6 366
16.7%
5 366
16.7%
4 366
16.7%
3 366
16.7%
2 366
16.7%
1 366
16.7%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
발전량
2196 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
발전량 2196
100.0%

Length

2023-12-13T06:02:04.556898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:02:04.635195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전량 2196
100.0%

01(MWh)
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.37796
Minimum0
Maximum562
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:04.715053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median406.5
Q3443
95-th percentile542
Maximum562
Range562
Interquartile range (IQR)443

Descriptive statistics

Standard deviation232.39498
Coefficient of variation (CV)1.0000732
Kurtosis-1.904808
Mean232.37796
Median Absolute Deviation (MAD)139.5
Skewness0.045067799
Sum510302
Variance54007.426
MonotonicityNot monotonic
2023-12-13T06:02:04.819606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
424 70
 
3.2%
423 50
 
2.3%
443 48
 
2.2%
417 44
 
2.0%
543 44
 
2.0%
446 39
 
1.8%
425 38
 
1.7%
544 36
 
1.6%
444 35
 
1.6%
Other values (122) 706
32.1%
ValueCountFrequency (%)
0 1086
49.5%
319 1
 
< 0.1%
388 1
 
< 0.1%
402 2
 
0.1%
403 3
 
0.1%
404 2
 
0.1%
405 3
 
0.1%
408 1
 
< 0.1%
409 1
 
< 0.1%
411 3
 
0.1%
ValueCountFrequency (%)
562 1
 
< 0.1%
560 1
 
< 0.1%
549 2
 
0.1%
547 1
 
< 0.1%
546 9
 
0.4%
545 15
 
0.7%
544 36
1.6%
543 44
2.0%
542 21
1.0%
541 16
 
0.7%

02(MWh)
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.89526
Minimum0
Maximum562
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:04.929173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median404
Q3443
95-th percentile543
Maximum562
Range562
Interquartile range (IQR)443

Descriptive statistics

Standard deviation231.86716
Coefficient of variation (CV)0.99987882
Kurtosis-1.9047312
Mean231.89526
Median Absolute Deviation (MAD)142
Skewness0.044313428
Sum509242
Variance53762.382
MonotonicityNot monotonic
2023-12-13T06:02:05.062526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
424 60
 
2.7%
543 49
 
2.2%
425 47
 
2.1%
443 42
 
1.9%
444 42
 
1.9%
418 39
 
1.8%
422 39
 
1.8%
423 39
 
1.8%
426 32
 
1.5%
Other values (127) 721
32.8%
ValueCountFrequency (%)
0 1086
49.5%
385 1
 
< 0.1%
400 1
 
< 0.1%
401 2
 
0.1%
402 1
 
< 0.1%
403 4
 
0.2%
404 6
 
0.3%
405 1
 
< 0.1%
406 1
 
< 0.1%
407 1
 
< 0.1%
ValueCountFrequency (%)
562 1
 
< 0.1%
560 2
 
0.1%
559 1
 
< 0.1%
553 1
 
< 0.1%
551 1
 
< 0.1%
550 1
 
< 0.1%
549 1
 
< 0.1%
547 3
 
0.1%
546 10
0.5%
545 13
0.6%

03(MWh)
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.76594
Minimum0
Maximum563
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:05.187287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median403.5
Q3443
95-th percentile543
Maximum563
Range563
Interquartile range (IQR)443

Descriptive statistics

Standard deviation231.71181
Coefficient of variation (CV)0.99976646
Kurtosis-1.9054445
Mean231.76594
Median Absolute Deviation (MAD)143.5
Skewness0.04368698
Sum508958
Variance53690.363
MonotonicityNot monotonic
2023-12-13T06:02:05.283731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
424 61
 
2.8%
425 52
 
2.4%
443 51
 
2.3%
423 49
 
2.2%
543 46
 
2.1%
422 40
 
1.8%
444 39
 
1.8%
418 35
 
1.6%
445 32
 
1.5%
Other values (125) 705
32.1%
ValueCountFrequency (%)
0 1086
49.5%
382 1
 
< 0.1%
385 1
 
< 0.1%
400 1
 
< 0.1%
401 2
 
0.1%
402 4
 
0.2%
403 3
 
0.1%
404 5
 
0.2%
405 2
 
0.1%
409 2
 
0.1%
ValueCountFrequency (%)
563 1
 
< 0.1%
561 2
 
0.1%
558 1
 
< 0.1%
551 2
 
0.1%
549 2
 
0.1%
548 3
 
0.1%
547 4
 
0.2%
546 6
 
0.3%
545 18
0.8%
544 31
1.4%

04(MWh)
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.85246
Minimum0
Maximum562
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:05.393380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median403.5
Q3442
95-th percentile543
Maximum562
Range562
Interquartile range (IQR)442

Descriptive statistics

Standard deviation230.7582
Coefficient of variation (CV)0.99959168
Kurtosis-1.9056847
Mean230.85246
Median Absolute Deviation (MAD)144
Skewness0.042914735
Sum506952
Variance53249.346
MonotonicityNot monotonic
2023-12-13T06:02:05.841432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
424 69
 
3.1%
423 52
 
2.4%
425 52
 
2.4%
543 49
 
2.2%
444 45
 
2.0%
443 44
 
2.0%
422 37
 
1.7%
542 33
 
1.5%
426 33
 
1.5%
Other values (126) 696
31.7%
ValueCountFrequency (%)
0 1086
49.5%
359 1
 
< 0.1%
385 1
 
< 0.1%
395 1
 
< 0.1%
400 1
 
< 0.1%
401 1
 
< 0.1%
402 2
 
0.1%
403 5
 
0.2%
404 7
 
0.3%
405 1
 
< 0.1%
ValueCountFrequency (%)
562 1
 
< 0.1%
561 1
 
< 0.1%
560 1
 
< 0.1%
558 1
 
< 0.1%
557 1
 
< 0.1%
551 3
0.1%
549 3
0.1%
548 1
 
< 0.1%
547 2
 
0.1%
546 7
0.3%

05(MWh)
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.19536
Minimum0
Maximum563
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:05.967665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median403
Q3442
95-th percentile543
Maximum563
Range563
Interquartile range (IQR)442

Descriptive statistics

Standard deviation231.14336
Coefficient of variation (CV)0.99977509
Kurtosis-1.9055108
Mean231.19536
Median Absolute Deviation (MAD)143
Skewness0.043641325
Sum507705
Variance53427.252
MonotonicityNot monotonic
2023-12-13T06:02:06.097055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
424 68
 
3.1%
425 60
 
2.7%
444 51
 
2.3%
543 51
 
2.3%
423 44
 
2.0%
443 39
 
1.8%
426 38
 
1.7%
544 34
 
1.5%
445 34
 
1.5%
Other values (121) 691
31.5%
ValueCountFrequency (%)
0 1086
49.5%
265 1
 
< 0.1%
386 1
 
< 0.1%
400 2
 
0.1%
401 2
 
0.1%
402 3
 
0.1%
403 4
 
0.2%
404 6
 
0.3%
405 4
 
0.2%
406 1
 
< 0.1%
ValueCountFrequency (%)
563 1
 
< 0.1%
560 1
 
< 0.1%
559 1
 
< 0.1%
558 1
 
< 0.1%
549 1
 
< 0.1%
548 2
 
0.1%
547 1
 
< 0.1%
546 6
 
0.3%
545 12
 
0.5%
544 34
1.5%

06(MWh)
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.28051
Minimum0
Maximum562
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:06.205872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median404
Q3442
95-th percentile542
Maximum562
Range562
Interquartile range (IQR)442

Descriptive statistics

Standard deviation231.24215
Coefficient of variation (CV)0.99983416
Kurtosis-1.9043047
Mean231.28051
Median Absolute Deviation (MAD)142
Skewness0.044227768
Sum507892
Variance53472.934
MonotonicityNot monotonic
2023-12-13T06:02:06.326778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
423 68
 
3.1%
424 60
 
2.7%
425 57
 
2.6%
444 50
 
2.3%
543 50
 
2.3%
446 39
 
1.8%
443 37
 
1.7%
422 36
 
1.6%
542 35
 
1.6%
Other values (122) 678
30.9%
ValueCountFrequency (%)
0 1086
49.5%
353 1
 
< 0.1%
385 1
 
< 0.1%
399 3
 
0.1%
400 1
 
< 0.1%
401 1
 
< 0.1%
402 3
 
0.1%
404 3
 
0.1%
405 3
 
0.1%
406 2
 
0.1%
ValueCountFrequency (%)
562 1
 
< 0.1%
560 1
 
< 0.1%
559 2
 
0.1%
552 1
 
< 0.1%
550 1
 
< 0.1%
548 1
 
< 0.1%
546 7
 
0.3%
545 7
 
0.3%
544 30
1.4%
543 50
2.3%

07(MWh)
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.29918
Minimum0
Maximum561
Zeros1085
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:06.469908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median403
Q3443
95-th percentile543
Maximum561
Range561
Interquartile range (IQR)443

Descriptive statistics

Standard deviation232.29578
Coefficient of variation (CV)0.99998538
Kurtosis-1.904657
Mean232.29918
Median Absolute Deviation (MAD)143
Skewness0.044786655
Sum510129
Variance53961.331
MonotonicityNot monotonic
2023-12-13T06:02:06.650282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1085
49.4%
424 59
 
2.7%
425 51
 
2.3%
544 47
 
2.1%
443 46
 
2.1%
444 42
 
1.9%
423 42
 
1.9%
543 39
 
1.8%
426 38
 
1.7%
418 32
 
1.5%
Other values (123) 715
32.6%
ValueCountFrequency (%)
0 1085
49.4%
2 1
 
< 0.1%
368 2
 
0.1%
381 1
 
< 0.1%
382 1
 
< 0.1%
383 2
 
0.1%
391 1
 
< 0.1%
397 1
 
< 0.1%
403 5
 
0.2%
405 1
 
< 0.1%
ValueCountFrequency (%)
561 1
 
< 0.1%
559 3
 
0.1%
548 1
 
< 0.1%
547 3
 
0.1%
546 5
 
0.2%
545 16
 
0.7%
544 47
2.1%
543 39
1.8%
542 27
1.2%
541 11
 
0.5%

08(MWh)
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.83652
Minimum0
Maximum561
Zeros1085
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:06.808930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median401.5
Q3444
95-th percentile543
Maximum561
Range561
Interquartile range (IQR)444

Descriptive statistics

Standard deviation232.98427
Coefficient of variation (CV)1.0006346
Kurtosis-1.9037901
Mean232.83652
Median Absolute Deviation (MAD)144.5
Skewness0.048014915
Sum511309
Variance54281.669
MonotonicityNot monotonic
2023-12-13T06:02:06.951280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1085
49.4%
425 47
 
2.1%
445 43
 
2.0%
543 42
 
1.9%
423 42
 
1.9%
444 39
 
1.8%
544 38
 
1.7%
424 38
 
1.7%
446 34
 
1.5%
419 33
 
1.5%
Other values (130) 755
34.4%
ValueCountFrequency (%)
0 1085
49.4%
110 1
 
< 0.1%
154 1
 
< 0.1%
168 1
 
< 0.1%
265 1
 
< 0.1%
343 1
 
< 0.1%
350 1
 
< 0.1%
372 1
 
< 0.1%
374 1
 
< 0.1%
383 1
 
< 0.1%
ValueCountFrequency (%)
561 2
 
0.1%
560 2
 
0.1%
559 1
 
< 0.1%
547 3
 
0.1%
546 6
 
0.3%
545 18
0.8%
544 38
1.7%
543 42
1.9%
542 24
1.1%
541 10
 
0.5%

09(MWh)
Real number (ℝ)

ZEROS 

Distinct134
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.14936
Minimum0
Maximum560
Zeros1084
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:07.104646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median404
Q3444
95-th percentile543
Maximum560
Range560
Interquartile range (IQR)444

Descriptive statistics

Standard deviation235.70024
Coefficient of variation (CV)1.0023427
Kurtosis-1.9059353
Mean235.14936
Median Absolute Deviation (MAD)146
Skewness0.050953963
Sum516388
Variance55554.605
MonotonicityNot monotonic
2023-12-13T06:02:07.233287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1084
49.4%
543 56
 
2.6%
443 48
 
2.2%
445 47
 
2.1%
444 46
 
2.1%
542 39
 
1.8%
424 39
 
1.8%
423 36
 
1.6%
446 35
 
1.6%
544 31
 
1.4%
Other values (124) 735
33.5%
ValueCountFrequency (%)
0 1084
49.4%
1 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
127 1
 
< 0.1%
174 1
 
< 0.1%
212 1
 
< 0.1%
216 1
 
< 0.1%
268 1
 
< 0.1%
383 1
 
< 0.1%
ValueCountFrequency (%)
560 4
 
0.2%
559 1
 
< 0.1%
553 1
 
< 0.1%
551 1
 
< 0.1%
549 2
 
0.1%
548 4
 
0.2%
547 1
 
< 0.1%
546 6
 
0.3%
545 13
0.6%
544 31
1.4%

10(MWh)
Real number (ℝ)

ZEROS 

Distinct138
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.15483
Minimum0
Maximum565
Zeros1086
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:07.395672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median402
Q3444
95-th percentile542
Maximum565
Range565
Interquartile range (IQR)444

Descriptive statistics

Standard deviation234.14883
Coefficient of variation (CV)1.0042633
Kurtosis-1.9002823
Mean233.15483
Median Absolute Deviation (MAD)154
Skewness0.056573162
Sum512008
Variance54825.673
MonotonicityNot monotonic
2023-12-13T06:02:07.543551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1086
49.5%
543 49
 
2.2%
444 45
 
2.0%
424 42
 
1.9%
422 42
 
1.9%
445 42
 
1.9%
423 42
 
1.9%
446 33
 
1.5%
544 33
 
1.5%
421 32
 
1.5%
Other values (128) 750
34.2%
ValueCountFrequency (%)
0 1086
49.5%
8 2
 
0.1%
33 1
 
< 0.1%
42 1
 
< 0.1%
251 1
 
< 0.1%
274 1
 
< 0.1%
362 1
 
< 0.1%
378 1
 
< 0.1%
383 1
 
< 0.1%
394 1
 
< 0.1%
ValueCountFrequency (%)
565 1
 
< 0.1%
563 1
 
< 0.1%
562 1
 
< 0.1%
561 2
 
0.1%
560 2
 
0.1%
559 1
 
< 0.1%
549 1
 
< 0.1%
548 1
 
< 0.1%
546 4
 
0.2%
545 13
0.6%

11(MWh)
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.85383
Minimum0
Maximum563
Zeros1087
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:07.669844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median402
Q3443
95-th percentile543
Maximum563
Range563
Interquartile range (IQR)443

Descriptive statistics

Standard deviation233.93921
Coefficient of variation (CV)1.0046612
Kurtosis-1.8994837
Mean232.85383
Median Absolute Deviation (MAD)158
Skewness0.058278068
Sum511347
Variance54727.552
MonotonicityNot monotonic
2023-12-13T06:02:07.809021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1087
49.5%
424 58
 
2.6%
543 49
 
2.2%
423 45
 
2.0%
445 42
 
1.9%
426 40
 
1.8%
446 37
 
1.7%
544 37
 
1.7%
443 36
 
1.6%
444 33
 
1.5%
Other values (123) 732
33.3%
ValueCountFrequency (%)
0 1087
49.5%
5 1
 
< 0.1%
67 1
 
< 0.1%
88 1
 
< 0.1%
130 1
 
< 0.1%
180 1
 
< 0.1%
251 1
 
< 0.1%
306 1
 
< 0.1%
385 1
 
< 0.1%
393 1
 
< 0.1%
ValueCountFrequency (%)
563 3
 
0.1%
562 1
 
< 0.1%
561 1
 
< 0.1%
560 2
 
0.1%
559 1
 
< 0.1%
549 1
 
< 0.1%
547 3
 
0.1%
546 3
 
0.1%
545 16
0.7%
544 37
1.7%

12(MWh)
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.82104
Minimum0
Maximum564
Zeros1088
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:07.972214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median399
Q3443
95-th percentile542
Maximum564
Range564
Interquartile range (IQR)443

Descriptive statistics

Standard deviation233.08067
Coefficient of variation (CV)1.0054336
Kurtosis-1.8981806
Mean231.82104
Median Absolute Deviation (MAD)161.5
Skewness0.060282328
Sum509079
Variance54326.598
MonotonicityNot monotonic
2023-12-13T06:02:08.137797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1088
49.5%
423 60
 
2.7%
424 46
 
2.1%
543 43
 
2.0%
425 43
 
2.0%
443 40
 
1.8%
444 38
 
1.7%
445 37
 
1.7%
422 36
 
1.6%
544 33
 
1.5%
Other values (127) 732
33.3%
ValueCountFrequency (%)
0 1088
49.5%
27 1
 
< 0.1%
54 1
 
< 0.1%
124 1
 
< 0.1%
127 1
 
< 0.1%
203 1
 
< 0.1%
250 1
 
< 0.1%
288 1
 
< 0.1%
383 1
 
< 0.1%
394 1
 
< 0.1%
ValueCountFrequency (%)
564 2
 
0.1%
563 1
 
< 0.1%
562 1
 
< 0.1%
561 1
 
< 0.1%
560 2
 
0.1%
558 1
 
< 0.1%
547 1
 
< 0.1%
546 5
 
0.2%
545 16
0.7%
544 33
1.5%

13(MWh)
Real number (ℝ)

ZEROS 

Distinct146
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.91621
Minimum0
Maximum565
Zeros1087
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:08.268153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median383
Q3439
95-th percentile543
Maximum565
Range565
Interquartile range (IQR)439

Descriptive statistics

Standard deviation230.21723
Coefficient of variation (CV)1.0056834
Kurtosis-1.8955934
Mean228.91621
Median Absolute Deviation (MAD)179
Skewness0.061478167
Sum502700
Variance52999.974
MonotonicityNot monotonic
2023-12-13T06:02:08.405802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1087
49.5%
424 60
 
2.7%
423 49
 
2.2%
422 43
 
2.0%
425 42
 
1.9%
543 39
 
1.8%
445 37
 
1.7%
544 36
 
1.6%
446 35
 
1.6%
444 34
 
1.5%
Other values (136) 734
33.4%
ValueCountFrequency (%)
0 1087
49.5%
12 1
 
< 0.1%
36 1
 
< 0.1%
38 1
 
< 0.1%
119 1
 
< 0.1%
137 1
 
< 0.1%
140 1
 
< 0.1%
162 1
 
< 0.1%
251 1
 
< 0.1%
365 1
 
< 0.1%
ValueCountFrequency (%)
565 1
 
< 0.1%
564 1
 
< 0.1%
563 2
 
0.1%
561 3
 
0.1%
560 1
 
< 0.1%
556 1
 
< 0.1%
548 1
 
< 0.1%
547 1
 
< 0.1%
546 10
0.5%
545 20
0.9%

14(MWh)
Real number (ℝ)

ZEROS 

Distinct145
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.00364
Minimum0
Maximum564
Zeros1085
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:08.548876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median371.5
Q3443
95-th percentile543
Maximum564
Range564
Interquartile range (IQR)443

Descriptive statistics

Standard deviation233.04694
Coefficient of variation (CV)1.0044969
Kurtosis-1.8989518
Mean232.00364
Median Absolute Deviation (MAD)189
Skewness0.058497983
Sum509480
Variance54310.875
MonotonicityNot monotonic
2023-12-13T06:02:08.705613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1085
49.4%
424 54
 
2.5%
543 47
 
2.1%
425 44
 
2.0%
444 40
 
1.8%
445 37
 
1.7%
544 35
 
1.6%
443 33
 
1.5%
427 32
 
1.5%
446 31
 
1.4%
Other values (135) 758
34.5%
ValueCountFrequency (%)
0 1085
49.4%
22 1
 
< 0.1%
23 1
 
< 0.1%
50 1
 
< 0.1%
52 1
 
< 0.1%
67 1
 
< 0.1%
136 1
 
< 0.1%
141 1
 
< 0.1%
250 1
 
< 0.1%
314 1
 
< 0.1%
ValueCountFrequency (%)
564 3
 
0.1%
561 3
 
0.1%
560 3
 
0.1%
559 1
 
< 0.1%
549 1
 
< 0.1%
547 1
 
< 0.1%
546 7
 
0.3%
545 14
 
0.6%
544 35
1.6%
543 47
2.1%

15(MWh)
Real number (ℝ)

ZEROS 

Distinct138
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.41029
Minimum0
Maximum565
Zeros1083
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:08.887417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median377
Q3443
95-th percentile543
Maximum565
Range565
Interquartile range (IQR)443

Descriptive statistics

Standard deviation233.43885
Coefficient of variation (CV)1.0044256
Kurtosis-1.8928842
Mean232.41029
Median Absolute Deviation (MAD)185.5
Skewness0.061937799
Sum510373
Variance54493.697
MonotonicityNot monotonic
2023-12-13T06:02:09.053965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
49.3%
425 51
 
2.3%
426 48
 
2.2%
543 46
 
2.1%
544 45
 
2.0%
444 42
 
1.9%
424 41
 
1.9%
423 39
 
1.8%
422 34
 
1.5%
418 34
 
1.5%
Other values (128) 733
33.4%
ValueCountFrequency (%)
0 1083
49.3%
5 1
 
< 0.1%
13 1
 
< 0.1%
52 1
 
< 0.1%
71 1
 
< 0.1%
87 2
 
0.1%
105 1
 
< 0.1%
139 1
 
< 0.1%
143 1
 
< 0.1%
250 1
 
< 0.1%
ValueCountFrequency (%)
565 1
 
< 0.1%
564 2
 
0.1%
563 3
0.1%
562 1
 
< 0.1%
561 3
0.1%
560 2
 
0.1%
559 2
 
0.1%
553 1
 
< 0.1%
548 1
 
< 0.1%
546 6
0.3%

16(MWh)
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.80328
Minimum0
Maximum564
Zeros1082
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:09.219857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median371.5
Q3443
95-th percentile543
Maximum564
Range564
Interquartile range (IQR)443

Descriptive statistics

Standard deviation233.33206
Coefficient of variation (CV)1.0022714
Kurtosis-1.894854
Mean232.80328
Median Absolute Deviation (MAD)188
Skewness0.057367708
Sum511236
Variance54443.851
MonotonicityNot monotonic
2023-12-13T06:02:09.395591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
49.3%
424 57
 
2.6%
543 55
 
2.5%
425 43
 
2.0%
444 41
 
1.9%
544 39
 
1.8%
443 39
 
1.8%
426 37
 
1.7%
423 37
 
1.7%
446 30
 
1.4%
Other values (139) 736
33.5%
ValueCountFrequency (%)
0 1082
49.3%
29 1
 
< 0.1%
48 1
 
< 0.1%
89 1
 
< 0.1%
91 1
 
< 0.1%
128 1
 
< 0.1%
133 1
 
< 0.1%
146 1
 
< 0.1%
159 1
 
< 0.1%
250 2
 
0.1%
ValueCountFrequency (%)
564 2
 
0.1%
563 2
 
0.1%
561 1
 
< 0.1%
560 3
 
0.1%
559 1
 
< 0.1%
558 1
 
< 0.1%
549 2
 
0.1%
547 2
 
0.1%
546 3
 
0.1%
545 12
0.5%

17(MWh)
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.05738
Minimum0
Maximum564
Zeros1082
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:09.873832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median394.5
Q3444
95-th percentile543
Maximum564
Range564
Interquartile range (IQR)444

Descriptive statistics

Standard deviation235.34683
Coefficient of variation (CV)1.0012314
Kurtosis-1.8975662
Mean235.05738
Median Absolute Deviation (MAD)152.5
Skewness0.05362177
Sum516186
Variance55388.132
MonotonicityNot monotonic
2023-12-13T06:02:09.997910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
49.3%
543 59
 
2.7%
425 49
 
2.2%
443 39
 
1.8%
544 39
 
1.8%
424 38
 
1.7%
444 38
 
1.7%
426 34
 
1.5%
423 32
 
1.5%
446 31
 
1.4%
Other values (127) 755
34.4%
ValueCountFrequency (%)
0 1082
49.3%
16 1
 
< 0.1%
21 1
 
< 0.1%
99 1
 
< 0.1%
126 1
 
< 0.1%
141 1
 
< 0.1%
214 1
 
< 0.1%
249 1
 
< 0.1%
264 1
 
< 0.1%
296 1
 
< 0.1%
ValueCountFrequency (%)
564 1
 
< 0.1%
563 2
 
0.1%
562 1
 
< 0.1%
561 1
 
< 0.1%
560 1
 
< 0.1%
559 2
 
0.1%
558 1
 
< 0.1%
547 3
 
0.1%
546 7
0.3%
545 15
0.7%

18(MWh)
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.7714
Minimum0
Maximum564
Zeros1083
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:10.150976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median404
Q3443
95-th percentile543
Maximum564
Range564
Interquartile range (IQR)443

Descriptive statistics

Standard deviation234.75161
Coefficient of variation (CV)0.9999157
Kurtosis-1.8982986
Mean234.7714
Median Absolute Deviation (MAD)142
Skewness0.049454917
Sum515558
Variance55108.319
MonotonicityNot monotonic
2023-12-13T06:02:10.301054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
49.3%
543 56
 
2.6%
424 48
 
2.2%
423 47
 
2.1%
444 46
 
2.1%
544 42
 
1.9%
425 41
 
1.9%
443 39
 
1.8%
418 38
 
1.7%
422 36
 
1.6%
Other values (112) 720
32.8%
ValueCountFrequency (%)
0 1083
49.3%
16 1
 
< 0.1%
172 1
 
< 0.1%
242 1
 
< 0.1%
249 1
 
< 0.1%
301 1
 
< 0.1%
368 1
 
< 0.1%
384 1
 
< 0.1%
387 1
 
< 0.1%
391 1
 
< 0.1%
ValueCountFrequency (%)
564 2
 
0.1%
562 2
 
0.1%
561 1
 
< 0.1%
559 3
 
0.1%
558 1
 
< 0.1%
547 1
 
< 0.1%
546 6
 
0.3%
545 5
 
0.2%
544 42
1.9%
543 56
2.6%

19(MWh)
Real number (ℝ)

ZEROS 

Distinct120
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.48725
Minimum0
Maximum562
Zeros1083
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:10.430381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median411
Q3444
95-th percentile543
Maximum562
Range562
Interquartile range (IQR)444

Descriptive statistics

Standard deviation236.22325
Coefficient of variation (CV)0.99888368
Kurtosis-1.9016209
Mean236.48725
Median Absolute Deviation (MAD)135
Skewness0.046002176
Sum519326
Variance55801.425
MonotonicityNot monotonic
2023-12-13T06:02:10.576285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
49.3%
425 55
 
2.5%
543 54
 
2.5%
443 47
 
2.1%
424 40
 
1.8%
544 38
 
1.7%
426 37
 
1.7%
423 36
 
1.6%
444 32
 
1.5%
418 30
 
1.4%
Other values (110) 744
33.9%
ValueCountFrequency (%)
0 1083
49.3%
119 1
 
< 0.1%
245 1
 
< 0.1%
379 1
 
< 0.1%
389 1
 
< 0.1%
395 1
 
< 0.1%
401 1
 
< 0.1%
404 1
 
< 0.1%
405 2
 
0.1%
409 2
 
0.1%
ValueCountFrequency (%)
562 1
 
< 0.1%
561 2
 
0.1%
560 1
 
< 0.1%
559 1
 
< 0.1%
551 1
 
< 0.1%
547 3
 
0.1%
546 5
 
0.2%
545 19
 
0.9%
544 38
1.7%
543 54
2.5%

20(MWh)
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.4877
Minimum0
Maximum561
Zeros1083
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:10.729503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median409.5
Q3444
95-th percentile543
Maximum561
Range561
Interquartile range (IQR)444

Descriptive statistics

Standard deviation237.34418
Coefficient of variation (CV)0.99939567
Kurtosis-1.8959769
Mean237.4877
Median Absolute Deviation (MAD)138.5
Skewness0.049879591
Sum521523
Variance56332.262
MonotonicityNot monotonic
2023-12-13T06:02:10.875808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
49.3%
543 53
 
2.4%
544 52
 
2.4%
424 52
 
2.4%
443 49
 
2.2%
423 46
 
2.1%
444 35
 
1.6%
419 31
 
1.4%
447 30
 
1.4%
425 30
 
1.4%
Other values (98) 735
33.5%
ValueCountFrequency (%)
0 1083
49.3%
239 1
 
< 0.1%
246 1
 
< 0.1%
395 1
 
< 0.1%
404 2
 
0.1%
405 2
 
0.1%
406 2
 
0.1%
408 2
 
0.1%
409 4
 
0.2%
410 2
 
0.1%
ValueCountFrequency (%)
561 3
 
0.1%
559 1
 
< 0.1%
554 1
 
< 0.1%
553 1
 
< 0.1%
552 3
 
0.1%
551 1
 
< 0.1%
550 1
 
< 0.1%
548 4
 
0.2%
547 3
 
0.1%
546 11
0.5%

21(MWh)
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.04144
Minimum0
Maximum561
Zeros1083
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:11.018754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median409
Q3444
95-th percentile543
Maximum561
Range561
Interquartile range (IQR)444

Descriptive statistics

Standard deviation236.86937
Coefficient of variation (CV)0.99927411
Kurtosis-1.8959192
Mean237.04144
Median Absolute Deviation (MAD)137
Skewness0.049501033
Sum520543
Variance56107.099
MonotonicityNot monotonic
2023-12-13T06:02:11.164548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083
49.3%
543 59
 
2.7%
424 52
 
2.4%
423 46
 
2.1%
443 41
 
1.9%
422 41
 
1.9%
444 39
 
1.8%
542 38
 
1.7%
425 37
 
1.7%
544 34
 
1.5%
Other values (107) 726
33.1%
ValueCountFrequency (%)
0 1083
49.3%
239 1
 
< 0.1%
357 1
 
< 0.1%
390 1
 
< 0.1%
393 1
 
< 0.1%
398 1
 
< 0.1%
402 1
 
< 0.1%
404 4
 
0.2%
405 1
 
< 0.1%
406 1
 
< 0.1%
ValueCountFrequency (%)
561 1
 
< 0.1%
560 3
 
0.1%
554 2
 
0.1%
552 1
 
< 0.1%
551 1
 
< 0.1%
550 1
 
< 0.1%
549 1
 
< 0.1%
547 2
 
0.1%
546 3
 
0.1%
545 17
0.8%

22(MWh)
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.91985
Minimum0
Maximum561
Zeros1081
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:11.315538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median407.5
Q3444
95-th percentile543
Maximum561
Range561
Interquartile range (IQR)444

Descriptive statistics

Standard deviation235.86654
Coefficient of variation (CV)0.99977403
Kurtosis-1.8952166
Mean235.91985
Median Absolute Deviation (MAD)138.5
Skewness0.051778311
Sum518080
Variance55633.026
MonotonicityNot monotonic
2023-12-13T06:02:11.469661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1081
49.2%
423 59
 
2.7%
543 57
 
2.6%
424 48
 
2.2%
425 41
 
1.9%
444 39
 
1.8%
544 39
 
1.8%
443 36
 
1.6%
422 33
 
1.5%
419 32
 
1.5%
Other values (109) 731
33.3%
ValueCountFrequency (%)
0 1081
49.2%
12 1
 
< 0.1%
84 2
 
0.1%
235 1
 
< 0.1%
239 1
 
< 0.1%
276 1
 
< 0.1%
280 1
 
< 0.1%
365 1
 
< 0.1%
400 1
 
< 0.1%
404 4
 
0.2%
ValueCountFrequency (%)
561 2
 
0.1%
560 1
 
< 0.1%
558 1
 
< 0.1%
554 1
 
< 0.1%
548 2
 
0.1%
547 1
 
< 0.1%
546 7
 
0.3%
545 14
 
0.6%
544 39
1.8%
543 57
2.6%

23(MWh)
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.90073
Minimum0
Maximum560
Zeros1082
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:11.615972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median409
Q3444
95-th percentile543
Maximum560
Range560
Interquartile range (IQR)444

Descriptive statistics

Standard deviation235.79746
Coefficient of variation (CV)0.99956223
Kurtosis-1.8984841
Mean235.90073
Median Absolute Deviation (MAD)138
Skewness0.050099295
Sum518038
Variance55600.441
MonotonicityNot monotonic
2023-12-13T06:02:11.744788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
49.3%
543 58
 
2.6%
423 57
 
2.6%
424 51
 
2.3%
444 49
 
2.2%
425 42
 
1.9%
426 39
 
1.8%
544 32
 
1.5%
443 32
 
1.5%
422 32
 
1.5%
Other values (116) 722
32.9%
ValueCountFrequency (%)
0 1082
49.3%
90 1
 
< 0.1%
155 1
 
< 0.1%
166 1
 
< 0.1%
220 1
 
< 0.1%
252 1
 
< 0.1%
257 1
 
< 0.1%
265 1
 
< 0.1%
333 1
 
< 0.1%
386 1
 
< 0.1%
ValueCountFrequency (%)
560 1
 
< 0.1%
559 3
 
0.1%
554 1
 
< 0.1%
549 1
 
< 0.1%
547 4
 
0.2%
546 4
 
0.2%
545 20
 
0.9%
544 32
1.5%
543 58
2.6%
542 23
 
1.0%

24(MWh)
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.40073
Minimum0
Maximum560
Zeros1082
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:02:11.876123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median414.5
Q3444
95-th percentile543
Maximum560
Range560
Interquartile range (IQR)444

Descriptive statistics

Standard deviation236.17709
Coefficient of variation (CV)0.999054
Kurtosis-1.9033556
Mean236.40073
Median Absolute Deviation (MAD)131.5
Skewness0.046547069
Sum519136
Variance55779.62
MonotonicityNot monotonic
2023-12-13T06:02:12.009366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
49.3%
543 55
 
2.5%
443 46
 
2.1%
544 42
 
1.9%
426 40
 
1.8%
444 38
 
1.7%
424 36
 
1.6%
425 35
 
1.6%
423 32
 
1.5%
542 31
 
1.4%
Other values (113) 759
34.6%
ValueCountFrequency (%)
0 1082
49.3%
104 1
 
< 0.1%
111 1
 
< 0.1%
147 1
 
< 0.1%
148 1
 
< 0.1%
287 1
 
< 0.1%
288 1
 
< 0.1%
333 1
 
< 0.1%
397 1
 
< 0.1%
400 1
 
< 0.1%
ValueCountFrequency (%)
560 1
 
< 0.1%
552 1
 
< 0.1%
550 1
 
< 0.1%
549 1
 
< 0.1%
548 2
 
0.1%
547 4
 
0.2%
546 5
 
0.2%
545 14
 
0.6%
544 42
1.9%
543 55
2.5%

Sample

년월일호기구분01(MWh)02(MWh)03(MWh)04(MWh)05(MWh)06(MWh)07(MWh)08(MWh)09(MWh)10(MWh)11(MWh)12(MWh)13(MWh)14(MWh)15(MWh)16(MWh)17(MWh)18(MWh)19(MWh)20(MWh)21(MWh)22(MWh)23(MWh)24(MWh)
02020-01-011발전량419423419410417419426417423418416409404408413419419428419418418419419419
12020-01-012발전량427428426425429428430427431427425429427427428429428437425427426426426426
22020-01-013발전량422419418412432422442443431434436419414421422434431439425433431428421427
32020-01-014발전량429426431414431431430426432438443426411418423436429444430426425424427428
42020-01-015발전량000000000000000000000000
52020-01-016발전량000000000000000000000000
62020-01-021발전량418410420418419415417418426419419419417420420421420420420420419419420424
72020-01-022발전량426425428427426423425426428424425427425428427428427426427428426427427427
82020-01-023발전량436411435423426416426433441443443443426445426435422435429425421422421431
92020-01-024발전량438414443443433422423429445444446444428431437444442433425436425425423438
년월일호기구분01(MWh)02(MWh)03(MWh)04(MWh)05(MWh)06(MWh)07(MWh)08(MWh)09(MWh)10(MWh)11(MWh)12(MWh)13(MWh)14(MWh)15(MWh)16(MWh)17(MWh)18(MWh)19(MWh)20(MWh)21(MWh)22(MWh)23(MWh)24(MWh)
21862020-12-303발전량560560561561560560561559560561560558561560560560558559560561560560559473
21872020-12-304발전량426428424426430447443435424422423423423431433423427422423424424424424431
21882020-12-305발전량000000000000000000000000
21892020-12-306발전량000000000000000000000000
21902020-12-311발전량420421422423419417415404420419418418416417417420421420410406398408418432
21912020-12-312발전량420422422421419417416409424419419419417419418421422421414409410410426438
21922020-12-313발전량425438432419419417415409436418418419417418418422425418412408408409424433
21932020-12-314발전량431447447442425423419410437425423422421421422434425421415410411411440446
21942020-12-315발전량000000000000000000000000
21952020-12-316발전량000000000000000000000000