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 영흥 화력 발전의 시간대별 발전량 정보입니다. 1호기~6호기의 시간에 따른 화력 발전량 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15085587/fileData.do

Alerts

구분 has constant value ""Constant
01(MWh) has 395 (18.0%) zerosZeros
02(MWh) has 399 (18.2%) zerosZeros
03(MWh) has 406 (18.5%) zerosZeros
04(MWh) has 404 (18.4%) zerosZeros
05(MWh) has 393 (17.9%) zerosZeros
06(MWh) has 391 (17.8%) zerosZeros
07(MWh) has 390 (17.8%) zerosZeros
08(MWh) has 387 (17.6%) zerosZeros
09(MWh) has 387 (17.6%) zerosZeros
10(MWh) has 389 (17.7%) zerosZeros
11(MWh) has 391 (17.8%) zerosZeros
12(MWh) has 394 (17.9%) zerosZeros
13(MWh) has 393 (17.9%) zerosZeros
14(MWh) has 391 (17.8%) zerosZeros
15(MWh) has 392 (17.9%) zerosZeros
16(MWh) has 393 (17.9%) zerosZeros
17(MWh) has 392 (17.9%) zerosZeros
18(MWh) has 391 (17.8%) zerosZeros
19(MWh) has 391 (17.8%) zerosZeros
20(MWh) has 391 (17.8%) zerosZeros
21(MWh) has 390 (17.8%) zerosZeros
22(MWh) has 390 (17.8%) zerosZeros
23(MWh) has 390 (17.8%) zerosZeros
24(MWh) has 387 (17.6%) zerosZeros

Reproduction

Analysis started2023-12-12 21:03:44.185366
Analysis finished2023-12-12 21:03:44.619321
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct366
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size17.3 KiB
Minimum2020-01-01 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T06:03:44.688173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:03:44.870083image/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
2023-12-13T06:03:45.017657image/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
2023-12-13T06:03:45.147841image/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

2023-12-13T06:03:45.284457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:03:45.394415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전량 2196
100.0%

01(MWh)
Real number (ℝ)

ZEROS 

Distinct1779
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean602.15423
Minimum0
Maximum881.232
Zeros395
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:45.503940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.67675
median693.4415
Q3790.0125
95-th percentile867.37
Maximum881.232
Range881.232
Interquartile range (IQR)154.33575

Descriptive statistics

Standard deviation293.69581
Coefficient of variation (CV)0.48774184
Kurtosis0.33643113
Mean602.15423
Median Absolute Deviation (MAD)70.3335
Skewness-1.4188936
Sum1322330.7
Variance86257.23
MonotonicityNot monotonic
2023-12-13T06:03:45.665522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 395
 
18.0%
689.818 3
 
0.1%
870.857 2
 
0.1%
658.316 2
 
0.1%
692.648 2
 
0.1%
806.668 2
 
0.1%
687.927 2
 
0.1%
691.375 2
 
0.1%
795.456 2
 
0.1%
693.192 2
 
0.1%
Other values (1769) 1782
81.1%
ValueCountFrequency (%)
0.0 395
18.0%
0.005 1
 
< 0.1%
91.848 1
 
< 0.1%
117.225 1
 
< 0.1%
169.87 1
 
< 0.1%
171.132 1
 
< 0.1%
174.224 1
 
< 0.1%
214.0 1
 
< 0.1%
217.0 1
 
< 0.1%
217.69 1
 
< 0.1%
ValueCountFrequency (%)
881.232 1
< 0.1%
876.999 1
< 0.1%
875.737 1
< 0.1%
875.56 1
< 0.1%
875.16 1
< 0.1%
874.808 1
< 0.1%
874.637 1
< 0.1%
874.465 1
< 0.1%
874.32 1
< 0.1%
874.221 1
< 0.1%

02(MWh)
Real number (ℝ)

ZEROS 

Distinct1772
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601.03623
Minimum0
Maximum881.501
Zeros399
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:45.820257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.26975
median693.4145
Q3793.2345
95-th percentile867.395
Maximum881.501
Range881.501
Interquartile range (IQR)157.96475

Descriptive statistics

Standard deviation294.56433
Coefficient of variation (CV)0.49009413
Kurtosis0.31683356
Mean601.03623
Median Absolute Deviation (MAD)62.223
Skewness-1.4117609
Sum1319875.6
Variance86768.143
MonotonicityNot monotonic
2023-12-13T06:03:45.942813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 399
 
18.2%
693.663 3
 
0.1%
693.997 2
 
0.1%
867.601 2
 
0.1%
693.282 2
 
0.1%
693.189 2
 
0.1%
633.544 2
 
0.1%
633.899 2
 
0.1%
690.79 2
 
0.1%
822.628 2
 
0.1%
Other values (1762) 1778
81.0%
ValueCountFrequency (%)
0.0 399
18.2%
3.81 1
 
< 0.1%
6.776 1
 
< 0.1%
11.728 1
 
< 0.1%
67.812 1
 
< 0.1%
133.622 1
 
< 0.1%
179.771 1
 
< 0.1%
181.778 1
 
< 0.1%
183.162 1
 
< 0.1%
188.993 1
 
< 0.1%
ValueCountFrequency (%)
881.501 1
< 0.1%
877.665 1
< 0.1%
876.226 1
< 0.1%
875.836 1
< 0.1%
875.603 1
< 0.1%
874.904 1
< 0.1%
874.318 1
< 0.1%
874.172 1
< 0.1%
873.726 1
< 0.1%
873.674 1
< 0.1%

03(MWh)
Real number (ℝ)

ZEROS 

Distinct1770
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean599.52158
Minimum0
Maximum881.68
Zeros406
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:46.083368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.147
median693.294
Q3792.452
95-th percentile867.501
Maximum881.68
Range881.68
Interquartile range (IQR)157.305

Descriptive statistics

Standard deviation295.06256
Coefficient of variation (CV)0.49216337
Kurtosis0.29788991
Mean599.52158
Median Absolute Deviation (MAD)62.0725
Skewness-1.4052177
Sum1316549.4
Variance87061.915
MonotonicityNot monotonic
2023-12-13T06:03:46.220586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 406
 
18.5%
633.299 3
 
0.1%
690.458 2
 
0.1%
741.186 2
 
0.1%
692.41 2
 
0.1%
692.441 2
 
0.1%
634.365 2
 
0.1%
694.064 2
 
0.1%
655.131 2
 
0.1%
690.985 2
 
0.1%
Other values (1760) 1771
80.6%
ValueCountFrequency (%)
0.0 406
18.5%
5.724 1
 
< 0.1%
8.855 1
 
< 0.1%
180.764 1
 
< 0.1%
215.218 1
 
< 0.1%
243.687 1
 
< 0.1%
277.514 1
 
< 0.1%
354.759 1
 
< 0.1%
384.731 1
 
< 0.1%
422.915 1
 
< 0.1%
ValueCountFrequency (%)
881.68 1
< 0.1%
878.951 1
< 0.1%
876.168 1
< 0.1%
875.753 1
< 0.1%
875.712 1
< 0.1%
875.12 1
< 0.1%
874.102 1
< 0.1%
874.096 1
< 0.1%
874.024 1
< 0.1%
873.872 1
< 0.1%

04(MWh)
Real number (ℝ)

ZEROS 

Distinct1776
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean596.776
Minimum0
Maximum882.132
Zeros404
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:46.356896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.2765
median692.97
Q3789.418
95-th percentile867.511
Maximum882.132
Range882.132
Interquartile range (IQR)154.1415

Descriptive statistics

Standard deviation293.81632
Coefficient of variation (CV)0.49233938
Kurtosis0.29535072
Mean596.776
Median Absolute Deviation (MAD)59.6585
Skewness-1.401461
Sum1310520.1
Variance86328.031
MonotonicityNot monotonic
2023-12-13T06:03:46.504606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 404
 
18.4%
633.599 2
 
0.1%
691.828 2
 
0.1%
693.702 2
 
0.1%
633.769 2
 
0.1%
693.673 2
 
0.1%
656.16 2
 
0.1%
691.465 2
 
0.1%
693.08 2
 
0.1%
692.876 2
 
0.1%
Other values (1766) 1774
80.8%
ValueCountFrequency (%)
0.0 404
18.4%
2.441 1
 
< 0.1%
3.628 1
 
< 0.1%
3.952 1
 
< 0.1%
77.789 1
 
< 0.1%
142.799 1
 
< 0.1%
204.255 1
 
< 0.1%
209.789 1
 
< 0.1%
266.036 1
 
< 0.1%
306.394 1
 
< 0.1%
ValueCountFrequency (%)
882.132 1
< 0.1%
878.52 1
< 0.1%
876.352 1
< 0.1%
875.48 1
< 0.1%
875.448 1
< 0.1%
874.757 1
< 0.1%
874.363 1
< 0.1%
873.918 1
< 0.1%
873.89 1
< 0.1%
873.845 1
< 0.1%

05(MWh)
Real number (ℝ)

ZEROS 

Distinct1781
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean596.53268
Minimum0
Maximum881.601
Zeros393
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:46.639382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.092
median693.009
Q3788.654
95-th percentile867.54525
Maximum881.601
Range881.601
Interquartile range (IQR)153.562

Descriptive statistics

Standard deviation293.19324
Coefficient of variation (CV)0.49149568
Kurtosis0.29588172
Mean596.53268
Median Absolute Deviation (MAD)59.4315
Skewness-1.3994208
Sum1309985.8
Variance85962.274
MonotonicityNot monotonic
2023-12-13T06:03:46.768086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 393
 
17.9%
689.982 2
 
0.1%
692.501 2
 
0.1%
823.702 2
 
0.1%
690.154 2
 
0.1%
822.212 2
 
0.1%
867.882 2
 
0.1%
632.738 2
 
0.1%
691.201 2
 
0.1%
693.452 2
 
0.1%
Other values (1771) 1785
81.3%
ValueCountFrequency (%)
0.0 393
17.9%
2.244 1
 
< 0.1%
2.334 1
 
< 0.1%
2.343 1
 
< 0.1%
2.591 1
 
< 0.1%
5.179 1
 
< 0.1%
6.064 1
 
< 0.1%
8.241 1
 
< 0.1%
11.143 1
 
< 0.1%
11.473 1
 
< 0.1%
ValueCountFrequency (%)
881.601 1
< 0.1%
878.963 1
< 0.1%
876.126 1
< 0.1%
875.474 1
< 0.1%
875.21 1
< 0.1%
874.947 1
< 0.1%
874.697 1
< 0.1%
874.387 1
< 0.1%
874.361 1
< 0.1%
874.13 1
< 0.1%

06(MWh)
Real number (ℝ)

ZEROS 

Distinct1774
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.29478
Minimum0
Maximum881.374
Zeros391
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:46.895692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.26625
median692.83
Q3787.83075
95-th percentile867.44475
Maximum881.374
Range881.374
Interquartile range (IQR)152.5645

Descriptive statistics

Standard deviation291.60332
Coefficient of variation (CV)0.48820671
Kurtosis0.33020702
Mean597.29478
Median Absolute Deviation (MAD)59.1535
Skewness-1.4075352
Sum1311659.3
Variance85032.496
MonotonicityNot monotonic
2023-12-13T06:03:47.025013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
 
17.8%
691.816 2
 
0.1%
633.378 2
 
0.1%
692.495 2
 
0.1%
692.394 2
 
0.1%
693.576 2
 
0.1%
689.655 2
 
0.1%
633.347 2
 
0.1%
691.669 2
 
0.1%
655.998 2
 
0.1%
Other values (1764) 1787
81.4%
ValueCountFrequency (%)
0.0 391
17.8%
4.231 1
 
< 0.1%
4.26 1
 
< 0.1%
5.913 1
 
< 0.1%
7.628 1
 
< 0.1%
110.616 1
 
< 0.1%
114.793 1
 
< 0.1%
116.029 1
 
< 0.1%
117.929 1
 
< 0.1%
118.326 1
 
< 0.1%
ValueCountFrequency (%)
881.374 1
< 0.1%
878.437 1
< 0.1%
876.454 1
< 0.1%
875.661 1
< 0.1%
875.551 1
< 0.1%
874.445 1
< 0.1%
874.429 1
< 0.1%
874.157 1
< 0.1%
874.014 1
< 0.1%
874.012 1
< 0.1%

07(MWh)
Real number (ℝ)

ZEROS 

Distinct1785
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean599.85886
Minimum0
Maximum881.647
Zeros390
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:47.165884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.23325
median693.092
Q3789.516
95-th percentile867.69425
Maximum881.647
Range881.647
Interquartile range (IQR)154.28275

Descriptive statistics

Standard deviation291.32192
Coefficient of variation (CV)0.48565078
Kurtosis0.36472567
Mean599.85886
Median Absolute Deviation (MAD)60.048
Skewness-1.4182939
Sum1317290.1
Variance84868.461
MonotonicityNot monotonic
2023-12-13T06:03:47.549184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 390
 
17.8%
693.756 2
 
0.1%
694.35 2
 
0.1%
659.19 2
 
0.1%
692.674 2
 
0.1%
693.432 2
 
0.1%
691.368 2
 
0.1%
656.406 2
 
0.1%
634.315 2
 
0.1%
690.418 2
 
0.1%
Other values (1775) 1788
81.4%
ValueCountFrequency (%)
0.0 390
17.8%
2.497 1
 
< 0.1%
91.959 1
 
< 0.1%
121.51 1
 
< 0.1%
122.993 1
 
< 0.1%
124.744 1
 
< 0.1%
124.94 1
 
< 0.1%
126.168 1
 
< 0.1%
126.254 1
 
< 0.1%
127.602 1
 
< 0.1%
ValueCountFrequency (%)
881.647 1
< 0.1%
879.319 1
< 0.1%
876.086 1
< 0.1%
875.725 1
< 0.1%
875.038 1
< 0.1%
874.693 1
< 0.1%
874.497 1
< 0.1%
874.436 1
< 0.1%
874.264 1
< 0.1%
874.261 1
< 0.1%

08(MWh)
Real number (ℝ)

ZEROS 

Distinct1781
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean602.53836
Minimum0
Maximum881.843
Zeros387
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:47.661364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.67475
median693.598
Q3791.09475
95-th percentile867.7015
Maximum881.843
Range881.843
Interquartile range (IQR)155.42

Descriptive statistics

Standard deviation291.15164
Coefficient of variation (CV)0.48320848
Kurtosis0.39608615
Mean602.53836
Median Absolute Deviation (MAD)62.4145
Skewness-1.4302098
Sum1323174.2
Variance84769.279
MonotonicityNot monotonic
2023-12-13T06:03:47.794154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 387
 
17.6%
692.584 2
 
0.1%
691.923 2
 
0.1%
690.239 2
 
0.1%
634.249 2
 
0.1%
691.395 2
 
0.1%
794.747 2
 
0.1%
659.655 2
 
0.1%
739.642 2
 
0.1%
693.789 2
 
0.1%
Other values (1771) 1791
81.6%
ValueCountFrequency (%)
0.0 387
17.6%
0.756 1
 
< 0.1%
134.395 1
 
< 0.1%
139.502 1
 
< 0.1%
152.308 1
 
< 0.1%
158.653 1
 
< 0.1%
164.963 1
 
< 0.1%
172.079 1
 
< 0.1%
186.322 1
 
< 0.1%
197.864 1
 
< 0.1%
ValueCountFrequency (%)
881.843 1
< 0.1%
878.405 1
< 0.1%
876.269 1
< 0.1%
876.253 1
< 0.1%
875.443 1
< 0.1%
874.957 1
< 0.1%
874.66 1
< 0.1%
874.366 1
< 0.1%
874.224 1
< 0.1%
873.951 1
< 0.1%

09(MWh)
Real number (ℝ)

ZEROS 

Distinct1798
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean609.50861
Minimum0
Maximum881.397
Zeros387
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:47.911889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.9485
median695.0545
Q3801.614
95-th percentile867.69775
Maximum881.397
Range881.397
Interquartile range (IQR)165.6655

Descriptive statistics

Standard deviation294.31347
Coefficient of variation (CV)0.48287007
Kurtosis0.39938858
Mean609.50861
Median Absolute Deviation (MAD)84.3215
Skewness-1.4396295
Sum1338480.9
Variance86620.418
MonotonicityNot monotonic
2023-12-13T06:03:48.028063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 387
 
17.6%
740.976 2
 
0.1%
689.316 2
 
0.1%
692.71 2
 
0.1%
692.997 2
 
0.1%
694.124 2
 
0.1%
693.564 2
 
0.1%
634.627 2
 
0.1%
693.238 2
 
0.1%
776.63 2
 
0.1%
Other values (1788) 1791
81.6%
ValueCountFrequency (%)
0.0 387
17.6%
1.763 1
 
< 0.1%
55.696 1
 
< 0.1%
84.844 1
 
< 0.1%
102.233 1
 
< 0.1%
191.459 1
 
< 0.1%
198.608 1
 
< 0.1%
210.437 1
 
< 0.1%
211.259 1
 
< 0.1%
224.938 1
 
< 0.1%
ValueCountFrequency (%)
881.397 1
< 0.1%
878.612 1
< 0.1%
875.877 1
< 0.1%
875.363 1
< 0.1%
875.26 1
< 0.1%
874.843 1
< 0.1%
874.554 1
< 0.1%
874.518 1
< 0.1%
874.432 1
< 0.1%
874.303 1
< 0.1%

10(MWh)
Real number (ℝ)

ZEROS 

Distinct1788
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.04044
Minimum0
Maximum881.925
Zeros389
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:48.149887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.8725
median696.8115
Q3797.81225
95-th percentile868.0575
Maximum881.925
Range881.925
Interquartile range (IQR)161.93975

Descriptive statistics

Standard deviation294.72174
Coefficient of variation (CV)0.48311838
Kurtosis0.3997347
Mean610.04044
Median Absolute Deviation (MAD)91.801
Skewness-1.4425422
Sum1339648.8
Variance86860.907
MonotonicityNot monotonic
2023-12-13T06:03:48.267089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 389
 
17.7%
735.61 2
 
0.1%
691.849 2
 
0.1%
691.022 2
 
0.1%
691.779 2
 
0.1%
742.071 2
 
0.1%
692.163 2
 
0.1%
799.072 2
 
0.1%
693.272 2
 
0.1%
690.323 2
 
0.1%
Other values (1778) 1789
81.5%
ValueCountFrequency (%)
0.0 389
17.7%
0.857 1
 
< 0.1%
116.718 1
 
< 0.1%
154.894 1
 
< 0.1%
187.365 1
 
< 0.1%
195.573 1
 
< 0.1%
205.052 1
 
< 0.1%
216.749 1
 
< 0.1%
219.683 1
 
< 0.1%
228.939 1
 
< 0.1%
ValueCountFrequency (%)
881.925 1
< 0.1%
880.122 1
< 0.1%
878.829 1
< 0.1%
876.728 1
< 0.1%
875.497 1
< 0.1%
874.911 1
< 0.1%
874.778 1
< 0.1%
874.771 1
< 0.1%
874.644 1
< 0.1%
874.489 1
< 0.1%

11(MWh)
Real number (ℝ)

ZEROS 

Distinct1773
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean611.00372
Minimum0
Maximum881.564
Zeros391
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:48.388581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.49425
median703.977
Q3799.31825
95-th percentile867.83175
Maximum881.564
Range881.564
Interquartile range (IQR)163.824

Descriptive statistics

Standard deviation295.83953
Coefficient of variation (CV)0.48418614
Kurtosis0.39373979
Mean611.00372
Median Absolute Deviation (MAD)86.5955
Skewness-1.4430004
Sum1341764.2
Variance87521.029
MonotonicityNot monotonic
2023-12-13T06:03:48.516541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
 
17.8%
635.179 2
 
0.1%
690.634 2
 
0.1%
692.21 2
 
0.1%
691.064 2
 
0.1%
692.862 2
 
0.1%
690.738 2
 
0.1%
868.175 2
 
0.1%
691.803 2
 
0.1%
633.941 2
 
0.1%
Other values (1763) 1787
81.4%
ValueCountFrequency (%)
0.0 391
17.8%
1.962 1
 
< 0.1%
3.936 1
 
< 0.1%
49.714 1
 
< 0.1%
135.664 1
 
< 0.1%
154.828 1
 
< 0.1%
199.034 1
 
< 0.1%
204.199 1
 
< 0.1%
221.101 1
 
< 0.1%
227.29 1
 
< 0.1%
ValueCountFrequency (%)
881.564 1
< 0.1%
879.888 1
< 0.1%
875.554 1
< 0.1%
875.365 1
< 0.1%
875.364 1
< 0.1%
875.303 1
< 0.1%
875.196 1
< 0.1%
874.859 1
< 0.1%
874.352 2
0.1%
874.161 1
< 0.1%

12(MWh)
Real number (ℝ)

ZEROS 

Distinct1776
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean611.12252
Minimum0
Maximum881.456
Zeros394
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:48.642524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.6075
median705.115
Q3797.1715
95-th percentile867.834
Maximum881.456
Range881.456
Interquartile range (IQR)161.564

Descriptive statistics

Standard deviation295.59719
Coefficient of variation (CV)0.48369547
Kurtosis0.41446962
Mean611.12252
Median Absolute Deviation (MAD)82.961
Skewness-1.4514494
Sum1342025
Variance87377.699
MonotonicityNot monotonic
2023-12-13T06:03:48.761891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 394
 
17.9%
634.21 2
 
0.1%
690.475 2
 
0.1%
692.319 2
 
0.1%
866.047 2
 
0.1%
690.823 2
 
0.1%
866.914 2
 
0.1%
792.19 2
 
0.1%
692.21 2
 
0.1%
694.509 2
 
0.1%
Other values (1766) 1784
81.2%
ValueCountFrequency (%)
0.0 394
17.9%
63.978 1
 
< 0.1%
71.773 1
 
< 0.1%
113.786 1
 
< 0.1%
130.681 1
 
< 0.1%
213.401 1
 
< 0.1%
222.289 1
 
< 0.1%
331.681 1
 
< 0.1%
339.443 1
 
< 0.1%
347.629 1
 
< 0.1%
ValueCountFrequency (%)
881.456 1
< 0.1%
878.952 1
< 0.1%
875.695 1
< 0.1%
875.515 1
< 0.1%
875.415 1
< 0.1%
875.406 1
< 0.1%
874.643 1
< 0.1%
874.488 1
< 0.1%
874.451 1
< 0.1%
874.367 1
< 0.1%

13(MWh)
Real number (ℝ)

ZEROS 

Distinct1776
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean607.30495
Minimum0
Maximum881.445
Zeros393
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:48.897942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1636.12375
median694.455
Q3792.25875
95-th percentile868.02025
Maximum881.445
Range881.445
Interquartile range (IQR)156.135

Descriptive statistics

Standard deviation293.48974
Coefficient of variation (CV)0.48326585
Kurtosis0.42543301
Mean607.30495
Median Absolute Deviation (MAD)77.394
Skewness-1.4503523
Sum1333641.7
Variance86136.229
MonotonicityNot monotonic
2023-12-13T06:03:49.029705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 393
 
17.9%
633.811 3
 
0.1%
634.567 2
 
0.1%
691.817 2
 
0.1%
866.186 2
 
0.1%
692.117 2
 
0.1%
796.381 2
 
0.1%
631.815 2
 
0.1%
691.603 2
 
0.1%
635.715 2
 
0.1%
Other values (1766) 1784
81.2%
ValueCountFrequency (%)
0.0 393
17.9%
4.349 1
 
< 0.1%
114.436 1
 
< 0.1%
119.682 1
 
< 0.1%
129.878 1
 
< 0.1%
145.774 1
 
< 0.1%
211.43 1
 
< 0.1%
237.454 1
 
< 0.1%
347.334 1
 
< 0.1%
358.656 1
 
< 0.1%
ValueCountFrequency (%)
881.445 1
< 0.1%
878.419 1
< 0.1%
876.25 1
< 0.1%
876.161 1
< 0.1%
875.501 1
< 0.1%
875.434 1
< 0.1%
874.852 1
< 0.1%
874.766 1
< 0.1%
874.436 1
< 0.1%
874.316 1
< 0.1%

14(MWh)
Real number (ℝ)

ZEROS 

Distinct1782
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean612.16461
Minimum0
Maximum882.33
Zeros391
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:49.142979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1636.5565
median700.455
Q3799.13225
95-th percentile867.87075
Maximum882.33
Range882.33
Interquartile range (IQR)162.57575

Descriptive statistics

Standard deviation295.13695
Coefficient of variation (CV)0.48212024
Kurtosis0.43813147
Mean612.16461
Median Absolute Deviation (MAD)87.079
Skewness-1.4575836
Sum1344313.5
Variance87105.82
MonotonicityNot monotonic
2023-12-13T06:03:49.266930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
 
17.8%
691.909 3
 
0.1%
872.874 3
 
0.1%
740.961 2
 
0.1%
691.168 2
 
0.1%
632.627 2
 
0.1%
691.513 2
 
0.1%
689.949 2
 
0.1%
691.424 2
 
0.1%
634.892 2
 
0.1%
Other values (1772) 1785
81.3%
ValueCountFrequency (%)
0.0 391
17.8%
3.617 1
 
< 0.1%
100.788 1
 
< 0.1%
114.731 1
 
< 0.1%
167.34 1
 
< 0.1%
179.721 1
 
< 0.1%
198.909 1
 
< 0.1%
211.383 1
 
< 0.1%
220.326 1
 
< 0.1%
236.367 1
 
< 0.1%
ValueCountFrequency (%)
882.33 1
< 0.1%
878.987 1
< 0.1%
876.109 1
< 0.1%
875.89 1
< 0.1%
875.78 1
< 0.1%
875.631 1
< 0.1%
875.208 1
< 0.1%
874.85 1
< 0.1%
874.605 1
< 0.1%
874.42 1
< 0.1%

15(MWh)
Real number (ℝ)

ZEROS 

Distinct1774
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean611.94962
Minimum0
Maximum882.524
Zeros392
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:49.383362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1636.099
median703.338
Q3797.3895
95-th percentile868.12275
Maximum882.524
Range882.524
Interquartile range (IQR)161.2905

Descriptive statistics

Standard deviation294.67759
Coefficient of variation (CV)0.48153898
Kurtosis0.44823363
Mean611.94962
Median Absolute Deviation (MAD)85.137
Skewness-1.4610841
Sum1343841.4
Variance86834.884
MonotonicityNot monotonic
2023-12-13T06:03:49.492688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 392
 
17.9%
692.569 2
 
0.1%
666.232 2
 
0.1%
742.859 2
 
0.1%
795.888 2
 
0.1%
634.608 2
 
0.1%
691.504 2
 
0.1%
634.237 2
 
0.1%
692.108 2
 
0.1%
690.776 2
 
0.1%
Other values (1764) 1786
81.3%
ValueCountFrequency (%)
0.0 392
17.9%
123.757 1
 
< 0.1%
143.709 1
 
< 0.1%
191.643 1
 
< 0.1%
205.873 1
 
< 0.1%
226.055 1
 
< 0.1%
277.763 1
 
< 0.1%
305.895 1
 
< 0.1%
346.96 1
 
< 0.1%
357.162 1
 
< 0.1%
ValueCountFrequency (%)
882.524 1
< 0.1%
877.968 1
< 0.1%
876.375 1
< 0.1%
876.354 1
< 0.1%
875.906 1
< 0.1%
875.685 1
< 0.1%
875.408 1
< 0.1%
875.22 1
< 0.1%
874.898 1
< 0.1%
874.299 1
< 0.1%

16(MWh)
Real number (ℝ)

ZEROS 

Distinct1775
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean611.79835
Minimum0
Maximum881.748
Zeros393
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:49.602613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1636.078
median699.111
Q3797.72
95-th percentile868.09025
Maximum881.748
Range881.748
Interquartile range (IQR)161.642

Descriptive statistics

Standard deviation294.70712
Coefficient of variation (CV)0.48170631
Kurtosis0.44723215
Mean611.79835
Median Absolute Deviation (MAD)88.8485
Skewness-1.4592737
Sum1343509.2
Variance86852.287
MonotonicityNot monotonic
2023-12-13T06:03:49.714523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 393
 
17.9%
692.993 3
 
0.1%
691.706 3
 
0.1%
690.794 2
 
0.1%
694.049 2
 
0.1%
693.391 2
 
0.1%
692.579 2
 
0.1%
794.136 2
 
0.1%
866.037 2
 
0.1%
799.654 2
 
0.1%
Other values (1765) 1783
81.2%
ValueCountFrequency (%)
0.0 393
17.9%
196.115 1
 
< 0.1%
207.785 1
 
< 0.1%
228.879 1
 
< 0.1%
234.994 1
 
< 0.1%
305.867 1
 
< 0.1%
348.163 1
 
< 0.1%
350.215 1
 
< 0.1%
390.929 1
 
< 0.1%
392.619 1
 
< 0.1%
ValueCountFrequency (%)
881.748 1
< 0.1%
878.301 1
< 0.1%
875.953 1
< 0.1%
875.824 1
< 0.1%
875.227 1
< 0.1%
874.864 1
< 0.1%
874.621 1
< 0.1%
874.587 1
< 0.1%
874.53 1
< 0.1%
874.12 1
< 0.1%

17(MWh)
Real number (ℝ)

ZEROS 

Distinct1781
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614.90481
Minimum0
Maximum881.395
Zeros392
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:49.847945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1636.1775
median715.618
Q3799.90975
95-th percentile868.11075
Maximum881.395
Range881.395
Interquartile range (IQR)163.73225

Descriptive statistics

Standard deviation295.55206
Coefficient of variation (CV)0.48064685
Kurtosis0.46491087
Mean614.90481
Median Absolute Deviation (MAD)81.355
Skewness-1.4698278
Sum1350331
Variance87351.023
MonotonicityNot monotonic
2023-12-13T06:03:49.989533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 392
 
17.9%
690.048 2
 
0.1%
690.77 2
 
0.1%
868.752 2
 
0.1%
690.895 2
 
0.1%
693.237 2
 
0.1%
689.564 2
 
0.1%
690.208 2
 
0.1%
738.417 2
 
0.1%
690.742 2
 
0.1%
Other values (1771) 1786
81.3%
ValueCountFrequency (%)
0.0 392
17.9%
140.926 1
 
< 0.1%
198.098 1
 
< 0.1%
228.389 1
 
< 0.1%
247.056 1
 
< 0.1%
328.061 1
 
< 0.1%
342.853 1
 
< 0.1%
352.024 1
 
< 0.1%
391.783 1
 
< 0.1%
392.225 1
 
< 0.1%
ValueCountFrequency (%)
881.395 1
< 0.1%
878.276 1
< 0.1%
876.019 1
< 0.1%
875.636 1
< 0.1%
875.487 1
< 0.1%
875.147 1
< 0.1%
875.037 1
< 0.1%
874.962 1
< 0.1%
874.597 1
< 0.1%
874.295 1
< 0.1%

18(MWh)
Real number (ℝ)

ZEROS 

Distinct1779
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean613.93285
Minimum0
Maximum881.378
Zeros391
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:50.118668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1636.181
median711.437
Q3797.37325
95-th percentile867.8735
Maximum881.378
Range881.378
Interquartile range (IQR)161.19225

Descriptive statistics

Standard deviation294.70513
Coefficient of variation (CV)0.48002827
Kurtosis0.47693156
Mean613.93285
Median Absolute Deviation (MAD)78.9485
Skewness-1.4728474
Sum1348196.5
Variance86851.111
MonotonicityNot monotonic
2023-12-13T06:03:50.229635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
 
17.8%
693.46 2
 
0.1%
692.854 2
 
0.1%
691.511 2
 
0.1%
798.825 2
 
0.1%
737.923 2
 
0.1%
693.412 2
 
0.1%
807.054 2
 
0.1%
738.309 2
 
0.1%
691.883 2
 
0.1%
Other values (1769) 1787
81.4%
ValueCountFrequency (%)
0.0 391
17.8%
73.9 1
 
< 0.1%
213.163 1
 
< 0.1%
226.126 1
 
< 0.1%
229.121 1
 
< 0.1%
275.634 1
 
< 0.1%
299.997 1
 
< 0.1%
375.587 1
 
< 0.1%
389.988 1
 
< 0.1%
392.574 1
 
< 0.1%
ValueCountFrequency (%)
881.378 1
< 0.1%
879.901 1
< 0.1%
877.716 1
< 0.1%
876.731 1
< 0.1%
876.274 1
< 0.1%
875.492 1
< 0.1%
875.304 1
< 0.1%
875.221 1
< 0.1%
874.948 1
< 0.1%
874.871 1
< 0.1%

19(MWh)
Real number (ℝ)

ZEROS 

Distinct1777
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614.56154
Minimum0
Maximum881.386
Zeros391
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:50.352347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1637.58725
median712.747
Q3798.74175
95-th percentile867.4195
Maximum881.386
Range881.386
Interquartile range (IQR)161.1545

Descriptive statistics

Standard deviation294.64285
Coefficient of variation (CV)0.47943588
Kurtosis0.49212625
Mean614.56154
Median Absolute Deviation (MAD)79.687
Skewness-1.4807363
Sum1349577.1
Variance86814.409
MonotonicityNot monotonic
2023-12-13T06:03:50.476903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
 
17.8%
692.917 3
 
0.1%
867.877 2
 
0.1%
865.233 2
 
0.1%
691.398 2
 
0.1%
690.259 2
 
0.1%
693.171 2
 
0.1%
693.042 2
 
0.1%
692.023 2
 
0.1%
692.913 2
 
0.1%
Other values (1767) 1786
81.3%
ValueCountFrequency (%)
0.0 391
17.8%
85.153 1
 
< 0.1%
85.544 1
 
< 0.1%
197.12 1
 
< 0.1%
325.065 1
 
< 0.1%
389.705 1
 
< 0.1%
392.811 1
 
< 0.1%
403.705 1
 
< 0.1%
413.264 1
 
< 0.1%
424.641 1
 
< 0.1%
ValueCountFrequency (%)
881.386 1
< 0.1%
879.842 1
< 0.1%
877.771 1
< 0.1%
876.155 1
< 0.1%
874.808 1
< 0.1%
874.472 1
< 0.1%
874.34 1
< 0.1%
874.235 1
< 0.1%
874.083 1
< 0.1%
874.08 1
< 0.1%

20(MWh)
Real number (ℝ)

ZEROS 

Distinct1777
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614.80406
Minimum0
Maximum881.521
Zeros391
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:50.913452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1653.1445
median711.913
Q3800.436
95-th percentile867.4365
Maximum881.521
Range881.521
Interquartile range (IQR)147.2915

Descriptive statistics

Standard deviation294.46991
Coefficient of variation (CV)0.47896547
Kurtosis0.50377628
Mean614.80406
Median Absolute Deviation (MAD)80.378
Skewness-1.4850828
Sum1350109.7
Variance86712.528
MonotonicityNot monotonic
2023-12-13T06:03:51.036299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 391
 
17.8%
797.495 3
 
0.1%
691.224 3
 
0.1%
693.396 2
 
0.1%
691.26 2
 
0.1%
693.397 2
 
0.1%
694.968 2
 
0.1%
633.761 2
 
0.1%
691.198 2
 
0.1%
694.128 2
 
0.1%
Other values (1767) 1785
81.3%
ValueCountFrequency (%)
0.0 391
17.8%
70.173 1
 
< 0.1%
124.969 1
 
< 0.1%
194.177 1
 
< 0.1%
321.882 1
 
< 0.1%
486.955 1
 
< 0.1%
487.021 1
 
< 0.1%
493.788 1
 
< 0.1%
502.635 1
 
< 0.1%
520.316 1
 
< 0.1%
ValueCountFrequency (%)
881.521 1
< 0.1%
879.727 1
< 0.1%
876.783 1
< 0.1%
876.644 1
< 0.1%
875.728 1
< 0.1%
874.895 1
< 0.1%
874.529 1
< 0.1%
874.465 1
< 0.1%
874.183 1
< 0.1%
873.958 1
< 0.1%

21(MWh)
Real number (ℝ)

ZEROS 

Distinct1785
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614.03316
Minimum0
Maximum885.634
Zeros390
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:51.194486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1653.94625
median711.284
Q3798.51825
95-th percentile867.5415
Maximum885.634
Range885.634
Interquartile range (IQR)144.572

Descriptive statistics

Standard deviation293.81265
Coefficient of variation (CV)0.47849639
Kurtosis0.51027956
Mean614.03316
Median Absolute Deviation (MAD)78.5565
Skewness-1.4866626
Sum1348416.8
Variance86325.872
MonotonicityNot monotonic
2023-12-13T06:03:51.356829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 390
 
17.8%
796.856 2
 
0.1%
691.5 2
 
0.1%
692.095 2
 
0.1%
692.176 2
 
0.1%
693.324 2
 
0.1%
865.56 2
 
0.1%
739.176 2
 
0.1%
693.125 2
 
0.1%
808.255 2
 
0.1%
Other values (1775) 1788
81.4%
ValueCountFrequency (%)
0.0 390
17.8%
69.095 1
 
< 0.1%
127.971 1
 
< 0.1%
173.021 1
 
< 0.1%
297.114 1
 
< 0.1%
322.889 1
 
< 0.1%
342.812 1
 
< 0.1%
480.359 1
 
< 0.1%
521.979 1
 
< 0.1%
549.802 1
 
< 0.1%
ValueCountFrequency (%)
885.634 1
< 0.1%
881.193 1
< 0.1%
880.011 1
< 0.1%
877.632 1
< 0.1%
876.59 1
< 0.1%
875.95 1
< 0.1%
874.97 1
< 0.1%
874.567 1
< 0.1%
874.339 1
< 0.1%
874.03 1
< 0.1%

22(MWh)
Real number (ℝ)

ZEROS 

Distinct1776
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean612.45923
Minimum0
Maximum883.545
Zeros390
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:51.488672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1637.0365
median706.821
Q3797.47
95-th percentile867.3935
Maximum883.545
Range883.545
Interquartile range (IQR)160.4335

Descriptive statistics

Standard deviation293.32712
Coefficient of variation (CV)0.47893329
Kurtosis0.49837315
Mean612.45923
Median Absolute Deviation (MAD)80.4235
Skewness-1.4791736
Sum1344960.5
Variance86040.798
MonotonicityNot monotonic
2023-12-13T06:03:51.647304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 390
 
17.8%
691.761 3
 
0.1%
737.322 2
 
0.1%
693.323 2
 
0.1%
692.332 2
 
0.1%
689.804 2
 
0.1%
692.206 2
 
0.1%
806.099 2
 
0.1%
693.362 2
 
0.1%
867.095 2
 
0.1%
Other values (1766) 1787
81.4%
ValueCountFrequency (%)
0.0 390
17.8%
103.678 1
 
< 0.1%
120.114 1
 
< 0.1%
227.847 1
 
< 0.1%
307.488 1
 
< 0.1%
322.85 1
 
< 0.1%
392.611 1
 
< 0.1%
422.597 1
 
< 0.1%
434.885 1
 
< 0.1%
445.361 1
 
< 0.1%
ValueCountFrequency (%)
883.545 1
< 0.1%
881.568 1
< 0.1%
879.634 1
< 0.1%
877.779 1
< 0.1%
876.806 1
< 0.1%
875.804 1
< 0.1%
875.007 1
< 0.1%
874.985 1
< 0.1%
874.237 1
< 0.1%
874.082 1
< 0.1%

23(MWh)
Real number (ℝ)

ZEROS 

Distinct1776
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.68193
Minimum0
Maximum883.783
Zeros390
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:51.818918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.3795
median697.0085
Q3795.849
95-th percentile867.26625
Maximum883.783
Range883.783
Interquartile range (IQR)160.4695

Descriptive statistics

Standard deviation292.9745
Coefficient of variation (CV)0.47974974
Kurtosis0.47677387
Mean610.68193
Median Absolute Deviation (MAD)87.09
Skewness-1.469793
Sum1341057.5
Variance85834.058
MonotonicityNot monotonic
2023-12-13T06:03:51.978828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 390
 
17.8%
633.372 2
 
0.1%
791.288 2
 
0.1%
691.656 2
 
0.1%
738.339 2
 
0.1%
692.014 2
 
0.1%
633.507 2
 
0.1%
802.555 2
 
0.1%
690.504 2
 
0.1%
690.38 2
 
0.1%
Other values (1766) 1788
81.4%
ValueCountFrequency (%)
0.0 390
17.8%
127.876 1
 
< 0.1%
187.227 1
 
< 0.1%
199.748 1
 
< 0.1%
289.919 1
 
< 0.1%
324.517 1
 
< 0.1%
325.523 1
 
< 0.1%
343.815 1
 
< 0.1%
350.834 1
 
< 0.1%
367.073 1
 
< 0.1%
ValueCountFrequency (%)
883.783 1
< 0.1%
881.783 1
< 0.1%
879.874 1
< 0.1%
877.837 1
< 0.1%
876.664 1
< 0.1%
875.76 1
< 0.1%
874.408 1
< 0.1%
874.397 1
< 0.1%
874.236 1
< 0.1%
874.077 1
< 0.1%

24(MWh)
Real number (ℝ)

ZEROS 

Distinct1786
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.4377
Minimum0
Maximum883.602
Zeros387
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.4 KiB
2023-12-13T06:03:52.164532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1635.284
median697.0475
Q3797.27
95-th percentile867.1605
Maximum883.602
Range883.602
Interquartile range (IQR)161.986

Descriptive statistics

Standard deviation294.32745
Coefficient of variation (CV)0.48215806
Kurtosis0.41894078
Mean610.4377
Median Absolute Deviation (MAD)87.779
Skewness-1.4506497
Sum1340521.2
Variance86628.65
MonotonicityNot monotonic
2023-12-13T06:03:52.353082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 387
 
17.6%
690.595 2
 
0.1%
633.709 2
 
0.1%
634.187 2
 
0.1%
691.248 2
 
0.1%
691.675 2
 
0.1%
691.405 2
 
0.1%
692.215 2
 
0.1%
693.258 2
 
0.1%
693.202 2
 
0.1%
Other values (1776) 1791
81.6%
ValueCountFrequency (%)
0.0 387
17.6%
10.486 1
 
< 0.1%
29.36 1
 
< 0.1%
30.0 1
 
< 0.1%
163.392 1
 
< 0.1%
167.074 1
 
< 0.1%
170.602 1
 
< 0.1%
175.526 1
 
< 0.1%
176.896 1
 
< 0.1%
180.375 1
 
< 0.1%
ValueCountFrequency (%)
883.602 1
< 0.1%
881.596 1
< 0.1%
877.357 1
< 0.1%
876.301 1
< 0.1%
875.341 1
< 0.1%
875.02 1
< 0.1%
874.547 1
< 0.1%
873.846 1
< 0.1%
873.797 1
< 0.1%
873.757 1
< 0.1%

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)
02020-01-011발전량632.845633.146632.728633.599633.294633.634633.913634.49634.568634.665634.738635.081634.567635.266634.924635.156634.715635.074635.101635.128634.787633.711633.861634.009
12020-01-012발전량632.714632.861632.328633.248632.768632.751633.288633.756634.418634.544633.923633.992634.172634.167634.177634.412633.992633.716633.9634.445634.213633.036633.024633.159
22020-01-013발전량691.071691.382691.28691.354691.041691.467691.544691.821691.936691.391691.55691.22691.061691.027691.263691.292691.01691.775691.611691.5691.791689.979689.853690.302
32020-01-014발전량693.269693.178692.96692.874693.394693.451693.426693.693693.827693.921693.855693.459693.112693.191693.318693.234693.061693.517693.709693.96693.973693.062692.692692.765
42020-01-015발전량692.753692.313691.525691.824693.044693.388693.385693.863693.329693.069692.809691.407692.461692.349691.597691.136692.069692.879692.598692.798693.336693.007692.4692.664
52020-01-016발전량690.381690.736690.712690.163690.842690.732690.811690.895690.567690.789690.101690.034691.007690.791690.146690.336690.685690.388690.256690.129690.857690.628690.389690.627
62020-01-021발전량630.38630.108629.387629.292630.499629.451629.858630.547630.405630.939631.558632.501632.359632.212633.409633.418631.717630.441630.767630.744630.642631.574631.471631.32
72020-01-022발전량633.87633.324633.396634.35633.814632.701633.06632.648632.841634.462634.094634.553633.861633.57634.432634.618634.791632.974633.623633.965633.989634.038633.717633.306
82020-01-023발전량687.764687.972687.563688.45687.127687.782687.951687.339687.551688.624689.372688.28687.392687.222687.49687.646687.488688.304688.509687.571687.831688.066688.202689.387
92020-01-024발전량691.316690.121689.775689.844689.816690.347690.661690.488690.821689.998691.076690.391689.675689.957690.594690.162689.774690.404690.208690.234691.146691.026690.556691.211
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)
21862020-12-303발전량688.789688.596688.861688.807688.751688.851688.583688.999688.54688.734688.663688.603688.738688.621688.571689.019688.9688.795688.707688.727688.573688.802688.783688.739
21872020-12-304발전량689.284689.023689.135689.563689.614689.499689.613689.412688.852689.229688.879688.892689.029688.828689.217689.263689.317689.107689.173689.164689.166689.217688.97688.793
21882020-12-305발전량693.199693.476693.17693.119693.14693.039693.194693.005692.977692.914692.173692.299692.309692.448692.613692.579692.701692.854692.784692.997693.074692.941693.013692.983
21892020-12-306발전량689.437689.84689.513689.534689.549689.675689.757689.605689.383689.445689.33688.906689.322689.711689.334689.335689.254689.433689.422689.351689.378689.39689.426689.668
21902020-12-311발전량0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
21912020-12-312발전량0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
21922020-12-313발전량692.435692.885692.522692.681692.827692.777692.554692.514692.464692.323692.271692.319692.376692.475692.365692.365692.39692.647692.829692.66692.623692.617692.421692.636
21932020-12-314발전량692.648692.956692.983693.029693.008693.304693.064692.777692.935692.513693.166692.617692.705692.939692.794692.959693.153693.581693.374692.847692.851692.771692.929692.511
21942020-12-315발전량693.986693.786693.819693.851693.95693.683693.862693.791693.783693.453693.393693.313693.186693.244693.245693.316693.358693.885693.18693.75693.726693.954693.797693.687
21952020-12-316발전량690.227690.398690.01690.511690.211690.128690.391690.286689.965690.188690.112690.058690.009690.139690.164690.302690.103690.414690.138690.176690.449690.366690.026690.228