Overview

Dataset statistics

Number of variables25
Number of observations213
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.7 KiB
Average record size in memory224.6 B

Variable types

DateTime1
Numeric24

Dataset

Description2023년 9월~2024년3월까지 제주지역 일별 시간별 발전단 수요 실적 데이터입니다.- 항목 : 일자, 1~24시 전력수요량- 단위 : MWh* 수정정산 등 사유로 값이 변동될 수 있습니다.
Author한국전력거래소
URLhttps://www.data.go.kr/data/15065239/fileData.do

Alerts

날짜 has unique valuesUnique
1시 has unique valuesUnique
2시 has unique valuesUnique
3시 has unique valuesUnique
4시 has unique valuesUnique
5시 has unique valuesUnique
6시 has unique valuesUnique
7시 has unique valuesUnique
8시 has unique valuesUnique
9시 has unique valuesUnique
10시 has unique valuesUnique
11시 has unique valuesUnique
12시 has unique valuesUnique
13시 has unique valuesUnique
15시 has unique valuesUnique
16시 has unique valuesUnique
17시 has unique valuesUnique
18시 has unique valuesUnique
19시 has unique valuesUnique
20시 has unique valuesUnique
21시 has unique valuesUnique
22시 has unique valuesUnique
23시 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:31:16.512236
Analysis finished2024-04-21 01:31:16.861860
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2023-09-01 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T10:31:16.987558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:31:17.253853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean700.49705
Minimum566.867
Maximum875.546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:17.383181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum566.867
5-th percentile583.0006
Q1633.861
median690.181
Q3767.957
95-th percentile839.1328
Maximum875.546
Range308.679
Interquartile range (IQR)134.096

Descriptive statistics

Standard deviation84.797566
Coefficient of variation (CV)0.12105342
Kurtosis-1.0897595
Mean700.49705
Median Absolute Deviation (MAD)73.612
Skewness0.17032292
Sum149205.87
Variance7190.6273
MonotonicityNot monotonic
2024-04-21T10:31:17.509830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
676.803 1
 
0.5%
819.871 1
 
0.5%
731.812 1
 
0.5%
853.925 1
 
0.5%
779.507 1
 
0.5%
695.365 1
 
0.5%
722.801 1
 
0.5%
718.509 1
 
0.5%
732.391 1
 
0.5%
769.014 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
566.867 1
0.5%
567.41 1
0.5%
569.207 1
0.5%
571.203 1
0.5%
572.681 1
0.5%
574.953 1
0.5%
577.964 1
0.5%
578.272 1
0.5%
579.048 1
0.5%
580.254 1
0.5%
ValueCountFrequency (%)
875.546 1
0.5%
874.327 1
0.5%
870.563 1
0.5%
865.075 1
0.5%
856.922 1
0.5%
855.551 1
0.5%
854.986 1
0.5%
853.925 1
0.5%
853.412 1
0.5%
851.581 1
0.5%

2시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean664.96436
Minimum533.893
Maximum835.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:17.644745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum533.893
5-th percentile551.5602
Q1597.236
median654.917
Q3729.973
95-th percentile804.183
Maximum835.9
Range302.007
Interquartile range (IQR)132.737

Descriptive statistics

Standard deviation83.36331
Coefficient of variation (CV)0.12536508
Kurtosis-1.1016167
Mean664.96436
Median Absolute Deviation (MAD)72.304
Skewness0.21169636
Sum141637.41
Variance6949.4414
MonotonicityNot monotonic
2024-04-21T10:31:17.763899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
636.803 1
 
0.5%
785.503 1
 
0.5%
711.297 1
 
0.5%
816.606 1
 
0.5%
735.02 1
 
0.5%
658.28 1
 
0.5%
680.317 1
 
0.5%
678.611 1
 
0.5%
697.347 1
 
0.5%
736.499 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
533.893 1
0.5%
539.445 1
0.5%
539.643 1
0.5%
541.535 1
0.5%
541.788 1
0.5%
544.851 1
0.5%
546.085 1
0.5%
546.409 1
0.5%
548.25 1
0.5%
548.326 1
0.5%
ValueCountFrequency (%)
835.9 1
0.5%
833.589 1
0.5%
828.857 1
0.5%
826.071 1
0.5%
823.322 1
0.5%
819.162 1
0.5%
816.606 1
0.5%
815.056 1
0.5%
814.193 1
0.5%
813.446 1
0.5%

3시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean641.6607
Minimum512.487
Maximum812.648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:17.906822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum512.487
5-th percentile530.5478
Q1572.046
median630.07
Q3711.757
95-th percentile780.1644
Maximum812.648
Range300.161
Interquartile range (IQR)139.711

Descriptive statistics

Standard deviation82.896237
Coefficient of variation (CV)0.12919014
Kurtosis-1.1234454
Mean641.6607
Median Absolute Deviation (MAD)74.347
Skewness0.23956222
Sum136673.73
Variance6871.7861
MonotonicityNot monotonic
2024-04-21T10:31:18.039511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608.006 1
 
0.5%
766.781 1
 
0.5%
699.836 1
 
0.5%
791.086 1
 
0.5%
718.85 1
 
0.5%
631.604 1
 
0.5%
646.937 1
 
0.5%
651.993 1
 
0.5%
673.004 1
 
0.5%
717.856 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
512.487 1
0.5%
516.536 1
0.5%
519.007 1
0.5%
520.316 1
0.5%
522.072 1
0.5%
522.165 1
0.5%
526.947 1
0.5%
528.384 1
0.5%
528.898 1
0.5%
529.369 1
0.5%
ValueCountFrequency (%)
812.648 1
0.5%
810.327 1
0.5%
805.635 1
0.5%
800.966 1
0.5%
799.256 1
0.5%
791.086 1
0.5%
790.427 1
0.5%
788.222 1
0.5%
787.689 1
0.5%
787.511 1
0.5%

4시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627.75882
Minimum498.092
Maximum800.247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:18.188489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum498.092
5-th percentile516.4876
Q1558.479
median611.514
Q3696.795
95-th percentile763.7748
Maximum800.247
Range302.155
Interquartile range (IQR)138.316

Descriptive statistics

Standard deviation82.731227
Coefficient of variation (CV)0.13178823
Kurtosis-1.152273
Mean627.75882
Median Absolute Deviation (MAD)77.254
Skewness0.24735744
Sum133712.63
Variance6844.4559
MonotonicityNot monotonic
2024-04-21T10:31:18.338740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
588.079 1
 
0.5%
753.88 1
 
0.5%
696.795 1
 
0.5%
776.797 1
 
0.5%
695.011 1
 
0.5%
617.545 1
 
0.5%
632.702 1
 
0.5%
640.259 1
 
0.5%
661.244 1
 
0.5%
713.977 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
498.092 1
0.5%
506.043 1
0.5%
506.815 1
0.5%
507.333 1
0.5%
511.619 1
0.5%
512.264 1
0.5%
513.754 1
0.5%
514.844 1
0.5%
515.519 1
0.5%
516.073 1
0.5%
ValueCountFrequency (%)
800.247 1
0.5%
795.537 1
0.5%
788.029 1
0.5%
783.11 1
0.5%
778.995 1
0.5%
776.797 1
0.5%
773.88 1
0.5%
771.718 1
0.5%
767.717 1
0.5%
766.334 1
0.5%

5시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627.99527
Minimum496.297
Maximum801.032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:18.469131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum496.297
5-th percentile517.3372
Q1558.233
median613.037
Q3696.92
95-th percentile761.6844
Maximum801.032
Range304.735
Interquartile range (IQR)138.687

Descriptive statistics

Standard deviation83.078128
Coefficient of variation (CV)0.13229101
Kurtosis-1.1652414
Mean627.99527
Median Absolute Deviation (MAD)73.31
Skewness0.2516671
Sum133762.99
Variance6901.9754
MonotonicityNot monotonic
2024-04-21T10:31:18.605464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
584.287 1
 
0.5%
754.268 1
 
0.5%
708.005 1
 
0.5%
779.936 1
 
0.5%
682.924 1
 
0.5%
619.494 1
 
0.5%
635.277 1
 
0.5%
641.378 1
 
0.5%
663.442 1
 
0.5%
723.419 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
496.297 1
0.5%
504.358 1
0.5%
506.068 1
0.5%
506.994 1
0.5%
511.427 1
0.5%
512.71 1
0.5%
514.072 1
0.5%
515.092 1
0.5%
516.143 1
0.5%
517.086 1
0.5%
ValueCountFrequency (%)
801.032 1
0.5%
797.955 1
0.5%
784.746 1
0.5%
780.727 1
0.5%
779.936 1
0.5%
776.427 1
0.5%
772.938 1
0.5%
772.337 1
0.5%
770.975 1
0.5%
770.201 1
0.5%

6시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean643.47334
Minimum506.638
Maximum814.729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:18.748162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum506.638
5-th percentile530.1734
Q1574.64
median630.349
Q3712.571
95-th percentile773.1828
Maximum814.729
Range308.091
Interquartile range (IQR)137.931

Descriptive statistics

Standard deviation83.702402
Coefficient of variation (CV)0.13007905
Kurtosis-1.1774866
Mean643.47334
Median Absolute Deviation (MAD)73.961
Skewness0.24237496
Sum137059.82
Variance7006.0921
MonotonicityNot monotonic
2024-04-21T10:31:18.876013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
596.389 1
 
0.5%
768.324 1
 
0.5%
733.399 1
 
0.5%
796.736 1
 
0.5%
700.052 1
 
0.5%
633.329 1
 
0.5%
657.212 1
 
0.5%
656.832 1
 
0.5%
677.196 1
 
0.5%
748.334 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
506.638 1
0.5%
516.988 1
0.5%
517.325 1
0.5%
521.285 1
0.5%
526.984 1
0.5%
527.381 1
0.5%
528.109 1
0.5%
529.623 1
0.5%
529.645 1
0.5%
529.672 1
0.5%
ValueCountFrequency (%)
814.729 1
0.5%
814.554 1
0.5%
796.739 1
0.5%
796.736 1
0.5%
795.892 1
0.5%
794.917 1
0.5%
790.299 1
0.5%
789.372 1
0.5%
788.409 1
0.5%
775.892 1
0.5%

7시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.75069
Minimum527.853
Maximum854.331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:19.013530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum527.853
5-th percentile556.645
Q1605.818
median662.059
Q3746.791
95-th percentile809.7364
Maximum854.331
Range326.478
Interquartile range (IQR)140.973

Descriptive statistics

Standard deviation85.997796
Coefficient of variation (CV)0.12745122
Kurtosis-1.1419088
Mean674.75069
Median Absolute Deviation (MAD)75.764
Skewness0.24111221
Sum143721.9
Variance7395.6209
MonotonicityNot monotonic
2024-04-21T10:31:19.159904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626.774 1
 
0.5%
795.811 1
 
0.5%
780.053 1
 
0.5%
837.056 1
 
0.5%
738.308 1
 
0.5%
668.979 1
 
0.5%
692.316 1
 
0.5%
681.258 1
 
0.5%
698.844 1
 
0.5%
797.108 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
527.853 1
0.5%
535.139 1
0.5%
538.165 1
0.5%
546.402 1
0.5%
546.457 1
0.5%
548.475 1
0.5%
549.619 1
0.5%
549.693 1
0.5%
552.274 1
0.5%
552.686 1
0.5%
ValueCountFrequency (%)
854.331 1
0.5%
849.47 1
0.5%
837.056 1
0.5%
836.533 1
0.5%
832.109 1
0.5%
828.184 1
0.5%
824.341 1
0.5%
822.933 1
0.5%
819.865 1
0.5%
816.648 1
0.5%

8시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean709.36274
Minimum551.601
Maximum909.022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:19.310578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum551.601
5-th percentile574.452
Q1632.92
median707.421
Q3778.956
95-th percentile854.4634
Maximum909.022
Range357.421
Interquartile range (IQR)146.036

Descriptive statistics

Standard deviation88.082878
Coefficient of variation (CV)0.12417184
Kurtosis-0.90525607
Mean709.36274
Median Absolute Deviation (MAD)72.818
Skewness0.15625853
Sum151094.26
Variance7758.5934
MonotonicityNot monotonic
2024-04-21T10:31:19.603054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703.674 1
 
0.5%
829.37 1
 
0.5%
846.43 1
 
0.5%
893.909 1
 
0.5%
780.239 1
 
0.5%
717.842 1
 
0.5%
739.706 1
 
0.5%
708.201 1
 
0.5%
719.609 1
 
0.5%
868.603 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
551.601 1
0.5%
551.936 1
0.5%
552.401 1
0.5%
560.141 1
0.5%
565.457 1
0.5%
565.84 1
0.5%
570.843 1
0.5%
571.479 1
0.5%
571.579 1
0.5%
572.719 1
0.5%
ValueCountFrequency (%)
909.022 1
0.5%
897.847 1
0.5%
893.909 1
0.5%
890.195 1
0.5%
880.423 1
0.5%
878.778 1
0.5%
869.795 1
0.5%
869.518 1
0.5%
868.603 1
0.5%
866.964 1
0.5%

9시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean728.5149
Minimum527.584
Maximum982.719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:19.736999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum527.584
5-th percentile582.6216
Q1640.717
median727.579
Q3791.284
95-th percentile895.6168
Maximum982.719
Range455.135
Interquartile range (IQR)150.567

Descriptive statistics

Standard deviation97.676826
Coefficient of variation (CV)0.13407663
Kurtosis-0.47862533
Mean728.5149
Median Absolute Deviation (MAD)67.92
Skewness0.24139966
Sum155173.67
Variance9540.7624
MonotonicityNot monotonic
2024-04-21T10:31:19.892539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
778.657 1
 
0.5%
798.683 1
 
0.5%
861.324 1
 
0.5%
888.91 1
 
0.5%
813.356 1
 
0.5%
775.875 1
 
0.5%
818.689 1
 
0.5%
756.152 1
 
0.5%
723.978 1
 
0.5%
926.854 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
527.584 1
0.5%
545.418 1
0.5%
548.06 1
0.5%
552.325 1
0.5%
557.697 1
0.5%
563.044 1
0.5%
563.197 1
0.5%
567.243 1
0.5%
572.306 1
0.5%
579.532 1
0.5%
ValueCountFrequency (%)
982.719 1
0.5%
976.946 1
0.5%
955.399 1
0.5%
948.807 1
0.5%
937.251 1
0.5%
927.952 1
0.5%
926.854 1
0.5%
911.955 1
0.5%
906.435 1
0.5%
900.915 1
0.5%

10시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723.55001
Minimum510.465
Maximum1020.553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:20.025299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum510.465
5-th percentile567.9354
Q1641.766
median712.535
Q3796.826
95-th percentile888.8936
Maximum1020.553
Range510.088
Interquartile range (IQR)155.06

Descriptive statistics

Standard deviation103.80062
Coefficient of variation (CV)0.14346018
Kurtosis-0.268342
Mean723.55001
Median Absolute Deviation (MAD)80.053
Skewness0.37699082
Sum154116.15
Variance10774.568
MonotonicityNot monotonic
2024-04-21T10:31:20.169879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
820.206 1
 
0.5%
689.491 1
 
0.5%
781.481 1
 
0.5%
780.85 1
 
0.5%
794.919 1
 
0.5%
783.731 1
 
0.5%
858.63 1
 
0.5%
796.826 1
 
0.5%
721.245 1
 
0.5%
905.081 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
510.465 1
0.5%
533.548 1
0.5%
539.295 1
0.5%
540.165 1
0.5%
544.825 1
0.5%
546.121 1
0.5%
554.649 1
0.5%
560.203 1
0.5%
560.783 1
0.5%
561.723 1
0.5%
ValueCountFrequency (%)
1020.553 1
0.5%
1013.408 1
0.5%
1001.845 1
0.5%
996.489 1
0.5%
964.067 1
0.5%
921.126 1
0.5%
916.983 1
0.5%
907.898 1
0.5%
907.297 1
0.5%
905.081 1
0.5%

11시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean714.43335
Minimum515.117
Maximum1029.566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:20.339237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum515.117
5-th percentile558.8036
Q1626.982
median708.126
Q3781.474
95-th percentile885.1662
Maximum1029.566
Range514.449
Interquartile range (IQR)154.492

Descriptive statistics

Standard deviation106.54136
Coefficient of variation (CV)0.14912708
Kurtosis-0.32107819
Mean714.43335
Median Absolute Deviation (MAD)76.962
Skewness0.41870951
Sum152174.3
Variance11351.061
MonotonicityNot monotonic
2024-04-21T10:31:20.506638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
871.409 1
 
0.5%
643.043 1
 
0.5%
741.925 1
 
0.5%
729.66 1
 
0.5%
768.524 1
 
0.5%
776.474 1
 
0.5%
841.336 1
 
0.5%
810.934 1
 
0.5%
704.84 1
 
0.5%
885.579 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
515.117 1
0.5%
524.441 1
0.5%
526.927 1
0.5%
529.188 1
0.5%
537.653 1
0.5%
544.852 1
0.5%
548.8 1
0.5%
549.525 1
0.5%
551.494 1
0.5%
555.511 1
0.5%
ValueCountFrequency (%)
1029.566 1
0.5%
1018.372 1
0.5%
1012.23 1
0.5%
962.223 1
0.5%
950.282 1
0.5%
918.382 1
0.5%
907.889 1
0.5%
896.537 1
0.5%
891.883 1
0.5%
890.384 1
0.5%

12시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean698.95629
Minimum507.549
Maximum1002.366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:20.669573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum507.549
5-th percentile549.3336
Q1609.542
median689.666
Q3768.224
95-th percentile874.9852
Maximum1002.366
Range494.817
Interquartile range (IQR)158.682

Descriptive statistics

Standard deviation107.93726
Coefficient of variation (CV)0.15442634
Kurtosis-0.5143081
Mean698.95629
Median Absolute Deviation (MAD)80.124
Skewness0.44578339
Sum148877.69
Variance11650.452
MonotonicityNot monotonic
2024-04-21T10:31:20.815055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
878.293 1
 
0.5%
618.559 1
 
0.5%
705.639 1
 
0.5%
686.137 1
 
0.5%
716.659 1
 
0.5%
756.604 1
 
0.5%
841.976 1
 
0.5%
814.323 1
 
0.5%
701.848 1
 
0.5%
883.839 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
507.549 1
0.5%
509.739 1
0.5%
522.901 1
0.5%
530.036 1
0.5%
531.528 1
0.5%
531.92 1
0.5%
535.591 1
0.5%
536.221 1
0.5%
539.002 1
0.5%
547.722 1
0.5%
ValueCountFrequency (%)
1002.366 1
0.5%
994.271 1
0.5%
987.976 1
0.5%
939.65 1
0.5%
912.999 1
0.5%
908.524 1
0.5%
905.572 1
0.5%
887.136 1
0.5%
883.839 1
0.5%
878.293 1
0.5%

13시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean686.33094
Minimum499.708
Maximum972.974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:20.947750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum499.708
5-th percentile538.2192
Q1591.218
median674.432
Q3765.754
95-th percentile871.4012
Maximum972.974
Range473.266
Interquartile range (IQR)174.536

Descriptive statistics

Standard deviation107.76646
Coefficient of variation (CV)0.15701822
Kurtosis-0.74873512
Mean686.33094
Median Absolute Deviation (MAD)83.935
Skewness0.43473963
Sum146188.49
Variance11613.61
MonotonicityNot monotonic
2024-04-21T10:31:21.171052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
871.987 1
 
0.5%
590.497 1
 
0.5%
673.22 1
 
0.5%
658.15 1
 
0.5%
691.084 1
 
0.5%
739.767 1
 
0.5%
834.664 1
 
0.5%
805.811 1
 
0.5%
701.363 1
 
0.5%
871.348 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
499.708 1
0.5%
500.776 1
0.5%
521.575 1
0.5%
527.836 1
0.5%
528.126 1
0.5%
529.377 1
0.5%
529.898 1
0.5%
531.061 1
0.5%
536.447 1
0.5%
536.626 1
0.5%
ValueCountFrequency (%)
972.974 1
0.5%
951.859 1
0.5%
951.384 1
0.5%
891.439 1
0.5%
889.377 1
0.5%
888.01 1
0.5%
884.973 1
0.5%
881.521 1
0.5%
873.522 1
0.5%
871.987 1
0.5%

14시
Real number (ℝ)

Distinct212
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean698.28223
Minimum513.491
Maximum965.024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:21.436846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum513.491
5-th percentile542.4864
Q1606.287
median685.585
Q3782.262
95-th percentile886.0822
Maximum965.024
Range451.533
Interquartile range (IQR)175.975

Descriptive statistics

Standard deviation107.64866
Coefficient of variation (CV)0.1541621
Kurtosis-0.86100141
Mean698.28223
Median Absolute Deviation (MAD)85.382
Skewness0.38740184
Sum148734.12
Variance11588.233
MonotonicityNot monotonic
2024-04-21T10:31:21.606664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
599.592 2
 
0.9%
898.994 1
 
0.5%
792.49 1
 
0.5%
684.342 1
 
0.5%
665.001 1
 
0.5%
669.263 1
 
0.5%
773.902 1
 
0.5%
844.0 1
 
0.5%
813.61 1
 
0.5%
716.719 1
 
0.5%
Other values (202) 202
94.8%
ValueCountFrequency (%)
513.491 1
0.5%
523.888 1
0.5%
532.459 1
0.5%
532.515 1
0.5%
534.384 1
0.5%
536.923 1
0.5%
536.975 1
0.5%
538.649 1
0.5%
538.693 1
0.5%
539.399 1
0.5%
ValueCountFrequency (%)
965.024 1
0.5%
943.662 1
0.5%
931.524 1
0.5%
914.186 1
0.5%
908.206 1
0.5%
898.994 1
0.5%
897.137 1
0.5%
895.325 1
0.5%
893.167 1
0.5%
892.157 1
0.5%

15시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean708.03323
Minimum532.276
Maximum966.927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:21.769025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum532.276
5-th percentile559.4026
Q1624.429
median695.58
Q3781.617
95-th percentile900.3432
Maximum966.927
Range434.651
Interquartile range (IQR)157.188

Descriptive statistics

Standard deviation104.43922
Coefficient of variation (CV)0.14750609
Kurtosis-0.77624946
Mean708.03323
Median Absolute Deviation (MAD)76.871
Skewness0.41275103
Sum150811.08
Variance10907.55
MonotonicityNot monotonic
2024-04-21T10:31:21.906313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
899.628 1
 
0.5%
604.656 1
 
0.5%
695.58 1
 
0.5%
687.649 1
 
0.5%
670.743 1
 
0.5%
764.219 1
 
0.5%
850.992 1
 
0.5%
802.697 1
 
0.5%
734.967 1
 
0.5%
917.717 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
532.276 1
0.5%
535.678 1
0.5%
541.071 1
0.5%
543.044 1
0.5%
544.894 1
0.5%
544.903 1
0.5%
546.709 1
0.5%
547.049 1
0.5%
548.264 1
0.5%
550.102 1
0.5%
ValueCountFrequency (%)
966.927 1
0.5%
957.781 1
0.5%
919.865 1
0.5%
917.965 1
0.5%
917.717 1
0.5%
912.401 1
0.5%
908.957 1
0.5%
905.183 1
0.5%
904.2 1
0.5%
902.962 1
0.5%

16시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean725.30129
Minimum558.353
Maximum1008.519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:22.055256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum558.353
5-th percentile585.896
Q1648.878
median712.402
Q3786.218
95-th percentile906.5328
Maximum1008.519
Range450.166
Interquartile range (IQR)137.34

Descriptive statistics

Standard deviation99.150562
Coefficient of variation (CV)0.13670259
Kurtosis-0.60669615
Mean725.30129
Median Absolute Deviation (MAD)70.773
Skewness0.48697204
Sum154489.18
Variance9830.834
MonotonicityNot monotonic
2024-04-21T10:31:22.188002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
886.355 1
 
0.5%
632.692 1
 
0.5%
707.628 1
 
0.5%
703.935 1
 
0.5%
706.065 1
 
0.5%
771.36 1
 
0.5%
863.837 1
 
0.5%
809.147 1
 
0.5%
751.487 1
 
0.5%
936.431 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
558.353 1
0.5%
559.705 1
0.5%
566.173 1
0.5%
566.221 1
0.5%
570.316 1
0.5%
570.403 1
0.5%
570.592 1
0.5%
574.699 1
0.5%
574.88 1
0.5%
576.746 1
0.5%
ValueCountFrequency (%)
1008.519 1
0.5%
947.731 1
0.5%
936.431 1
0.5%
930.782 1
0.5%
928.686 1
0.5%
923.478 1
0.5%
918.61 1
0.5%
912.901 1
0.5%
912.008 1
0.5%
911.943 1
0.5%

17시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean758.59909
Minimum596.328
Maximum1008.872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:22.499804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum596.328
5-th percentile627.8696
Q1686.422
median740.622
Q3813.987
95-th percentile927.029
Maximum1008.872
Range412.544
Interquartile range (IQR)127.565

Descriptive statistics

Standard deviation92.80277
Coefficient of variation (CV)0.12233441
Kurtosis-0.50858572
Mean758.59909
Median Absolute Deviation (MAD)60.737
Skewness0.53997418
Sum161581.61
Variance8612.3541
MonotonicityNot monotonic
2024-04-21T10:31:22.630226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
878.849 1
 
0.5%
702.967 1
 
0.5%
786.958 1
 
0.5%
784.211 1
 
0.5%
726.24 1
 
0.5%
797.185 1
 
0.5%
875.001 1
 
0.5%
816.491 1
 
0.5%
788.676 1
 
0.5%
982.07 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
596.328 1
0.5%
611.744 1
0.5%
612.181 1
0.5%
614.636 1
0.5%
616.273 1
0.5%
616.746 1
0.5%
618.379 1
0.5%
620.513 1
0.5%
621.65 1
0.5%
625.003 1
0.5%
ValueCountFrequency (%)
1008.872 1
0.5%
1002.977 1
0.5%
982.07 1
0.5%
962.717 1
0.5%
955.411 1
0.5%
942.449 1
0.5%
942.369 1
0.5%
941.354 1
0.5%
938.369 1
0.5%
932.047 1
0.5%

18시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean804.00892
Minimum644.387
Maximum1045.048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:22.751436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum644.387
5-th percentile684.2706
Q1726.525
median798.639
Q3870.361
95-th percentile958.8532
Maximum1045.048
Range400.661
Interquartile range (IQR)143.836

Descriptive statistics

Standard deviation88.166767
Coefficient of variation (CV)0.10965894
Kurtosis-0.52263481
Mean804.00892
Median Absolute Deviation (MAD)71.823
Skewness0.46808614
Sum171253.9
Variance7773.3788
MonotonicityNot monotonic
2024-04-21T10:31:22.878945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
888.305 1
 
0.5%
819.927 1
 
0.5%
902.794 1
 
0.5%
864.406 1
 
0.5%
774.119 1
 
0.5%
834.608 1
 
0.5%
882.958 1
 
0.5%
829.698 1
 
0.5%
831.018 1
 
0.5%
1045.048 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
644.387 1
0.5%
649.549 1
0.5%
657.524 1
0.5%
662.912 1
0.5%
663.823 1
0.5%
671.8 1
0.5%
673.405 1
0.5%
677.653 1
0.5%
678.405 1
0.5%
679.53 1
0.5%
ValueCountFrequency (%)
1045.048 1
0.5%
1044.416 1
0.5%
1008.51 1
0.5%
1006.811 1
0.5%
995.475 1
0.5%
994.073 1
0.5%
985.786 1
0.5%
983.114 1
0.5%
970.142 1
0.5%
967.43 1
0.5%

19시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean834.23647
Minimum690.137
Maximum1058.039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:23.017395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum690.137
5-th percentile716.5488
Q1760.094
median828.146
Q3896.283
95-th percentile977.2618
Maximum1058.039
Range367.902
Interquartile range (IQR)136.189

Descriptive statistics

Standard deviation83.20363
Coefficient of variation (CV)0.099736265
Kurtosis-0.61673621
Mean834.23647
Median Absolute Deviation (MAD)68.137
Skewness0.3533899
Sum177692.37
Variance6922.8441
MonotonicityNot monotonic
2024-04-21T10:31:23.156041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
881.747 1
 
0.5%
908.269 1
 
0.5%
971.14 1
 
0.5%
919.173 1
 
0.5%
829.249 1
 
0.5%
845.582 1
 
0.5%
875.896 1
 
0.5%
836.109 1
 
0.5%
863.563 1
 
0.5%
1058.039 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
690.137 1
0.5%
696.013 1
0.5%
700.895 1
0.5%
700.958 1
0.5%
703.967 1
0.5%
709.612 1
0.5%
710.236 1
0.5%
710.622 1
0.5%
711.657 1
0.5%
713.232 1
0.5%
ValueCountFrequency (%)
1058.039 1
0.5%
1056.769 1
0.5%
1037.791 1
0.5%
1034.531 1
0.5%
999.94 1
0.5%
998.819 1
0.5%
994.529 1
0.5%
988.52 1
0.5%
984.12 1
0.5%
981.236 1
0.5%

20시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean838.76662
Minimum694.7
Maximum1043.951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:23.303815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum694.7
5-th percentile715.4866
Q1763.644
median837.701
Q3906.014
95-th percentile975.3696
Maximum1043.951
Range349.251
Interquartile range (IQR)142.37

Descriptive statistics

Standard deviation84.942647
Coefficient of variation (CV)0.1012709
Kurtosis-0.9430038
Mean838.76662
Median Absolute Deviation (MAD)73.253
Skewness0.14051201
Sum178657.29
Variance7215.2533
MonotonicityNot monotonic
2024-04-21T10:31:23.437191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
897.276 1
 
0.5%
924.749 1
 
0.5%
981.276 1
 
0.5%
921.036 1
 
0.5%
840.685 1
 
0.5%
837.701 1
 
0.5%
861.788 1
 
0.5%
825.301 1
 
0.5%
858.463 1
 
0.5%
1041.755 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
694.7 1
0.5%
700.911 1
0.5%
703.69 1
0.5%
704.139 1
0.5%
705.891 1
0.5%
706.704 1
0.5%
707.572 1
0.5%
707.838 1
0.5%
707.941 1
0.5%
709.236 1
0.5%
ValueCountFrequency (%)
1043.951 1
0.5%
1041.755 1
0.5%
1030.219 1
0.5%
1028.159 1
0.5%
993.161 1
0.5%
992.604 1
0.5%
992.281 1
0.5%
982.344 1
0.5%
981.949 1
0.5%
981.276 1
0.5%

21시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean820.72269
Minimum683.859
Maximum1013.574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:23.572370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum683.859
5-th percentile698.677
Q1744.85
median820.518
Q3889.591
95-th percentile950.995
Maximum1013.574
Range329.715
Interquartile range (IQR)144.741

Descriptive statistics

Standard deviation83.508478
Coefficient of variation (CV)0.10174993
Kurtosis-1.0258459
Mean820.72269
Median Absolute Deviation (MAD)70.373
Skewness0.10327478
Sum174813.93
Variance6973.6659
MonotonicityNot monotonic
2024-04-21T10:31:23.720048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
880.43 1
 
0.5%
920.864 1
 
0.5%
963.207 1
 
0.5%
907.497 1
 
0.5%
823.885 1
 
0.5%
820.876 1
 
0.5%
835.326 1
 
0.5%
808.595 1
 
0.5%
843.514 1
 
0.5%
1013.574 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
683.859 1
0.5%
690.304 1
0.5%
690.346 1
0.5%
690.696 1
0.5%
690.792 1
0.5%
692.461 1
0.5%
692.645 1
0.5%
692.878 1
0.5%
693.535 1
0.5%
693.639 1
0.5%
ValueCountFrequency (%)
1013.574 1
0.5%
1010.134 1
0.5%
1006.514 1
0.5%
1001.847 1
0.5%
976.305 1
0.5%
974.855 1
0.5%
963.207 1
0.5%
955.846 1
0.5%
955.828 1
0.5%
954.96 1
0.5%

22시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean792.53923
Minimum658.442
Maximum973.074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:23.861706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum658.442
5-th percentile673.7158
Q1722.144
median792.149
Q3854.057
95-th percentile926.5946
Maximum973.074
Range314.632
Interquartile range (IQR)131.913

Descriptive statistics

Standard deviation82.008193
Coefficient of variation (CV)0.10347525
Kurtosis-1.0282061
Mean792.53923
Median Absolute Deviation (MAD)68.113
Skewness0.10343968
Sum168810.86
Variance6725.3437
MonotonicityNot monotonic
2024-04-21T10:31:24.028266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
836.734 1
 
0.5%
906.202 1
 
0.5%
937.638 1
 
0.5%
880.954 1
 
0.5%
793.57 1
 
0.5%
796.154 1
 
0.5%
806.748 1
 
0.5%
788.085 1
 
0.5%
828.261 1
 
0.5%
973.074 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
658.442 1
0.5%
660.603 1
0.5%
665.928 1
0.5%
666.275 1
0.5%
667.056 1
0.5%
667.687 1
0.5%
668.694 1
0.5%
669.621 1
0.5%
669.883 1
0.5%
670.205 1
0.5%
ValueCountFrequency (%)
973.074 1
0.5%
972.854 1
0.5%
969.267 1
0.5%
964.666 1
0.5%
949.644 1
0.5%
948.506 1
0.5%
939.255 1
0.5%
937.638 1
0.5%
930.996 1
0.5%
930.608 1
0.5%

23시
Real number (ℝ)

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean770.18746
Minimum634.31
Maximum946.074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:24.170447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum634.31
5-th percentile649.1128
Q1699.369
median770.83
Q3835.339
95-th percentile907.4512
Maximum946.074
Range311.764
Interquartile range (IQR)135.97

Descriptive statistics

Standard deviation82.898627
Coefficient of variation (CV)0.10763435
Kurtosis-1.0306691
Mean770.18746
Median Absolute Deviation (MAD)67.04
Skewness0.097117071
Sum164049.93
Variance6872.1824
MonotonicityNot monotonic
2024-04-21T10:31:24.318577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
796.892 1
 
0.5%
895.898 1
 
0.5%
918.267 1
 
0.5%
853.543 1
 
0.5%
770.83 1
 
0.5%
784.47 1
 
0.5%
786.334 1
 
0.5%
779.837 1
 
0.5%
817.535 1
 
0.5%
942.689 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
634.31 1
0.5%
636.914 1
0.5%
640.055 1
0.5%
641.142 1
0.5%
641.696 1
0.5%
643.307 1
0.5%
645.154 1
0.5%
646.019 1
0.5%
646.415 1
0.5%
647.877 1
0.5%
ValueCountFrequency (%)
946.074 1
0.5%
942.689 1
0.5%
939.371 1
0.5%
937.661 1
0.5%
930.842 1
0.5%
927.939 1
0.5%
918.267 1
0.5%
918.211 1
0.5%
913.1 1
0.5%
911.336 1
0.5%

24시
Real number (ℝ)

Distinct212
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean747.17446
Minimum606.476
Maximum928.161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-21T10:31:24.642814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum606.476
5-th percentile624.1004
Q1677.619
median743.536
Q3817.611
95-th percentile887.3298
Maximum928.161
Range321.685
Interquartile range (IQR)139.992

Descriptive statistics

Standard deviation85.986657
Coefficient of variation (CV)0.11508244
Kurtosis-1.0582703
Mean747.17446
Median Absolute Deviation (MAD)70.862
Skewness0.12144947
Sum159148.16
Variance7393.7053
MonotonicityNot monotonic
2024-04-21T10:31:24.804283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
630.057 2
 
0.9%
757.224 1
 
0.5%
857.908 1
 
0.5%
824.493 1
 
0.5%
747.565 1
 
0.5%
768.129 1
 
0.5%
767.178 1
 
0.5%
771.176 1
 
0.5%
804.671 1
 
0.5%
923.527 1
 
0.5%
Other values (202) 202
94.8%
ValueCountFrequency (%)
606.476 1
0.5%
609.939 1
0.5%
612.238 1
0.5%
613.074 1
0.5%
613.949 1
0.5%
619.062 1
0.5%
620.962 1
0.5%
622.404 1
0.5%
622.696 1
0.5%
622.868 1
0.5%
ValueCountFrequency (%)
928.161 1
0.5%
923.527 1
0.5%
920.44 1
0.5%
912.421 1
0.5%
909.788 1
0.5%
907.419 1
0.5%
901.106 1
0.5%
899.718 1
0.5%
898.986 1
0.5%
895.326 1
0.5%

Sample

날짜1시2시3시4시5시6시7시8시9시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시
02023-09-01676.803636.803608.006588.079584.287596.389626.774703.674778.657820.206871.409878.293871.987898.994899.628886.355878.849888.305881.747897.276880.43836.734796.892757.224
12023-09-02704.337661.538632.087606.112599.265609.831626.341654.214714.058751.493768.227796.13796.739784.713800.65810.46847.433893.441907.304913.651890.922844.842798.896754.828
22023-09-03704.855659.923630.403611.188600.094610.799627.273655.509691.637737.877763.045778.447795.745807.308821.586843.367879.189914.057932.678936.084905.501854.048800.839750.348
32023-09-04690.752644.835619.173601.07593.155610.972649.51719.76804.442859.079882.712887.136888.01914.186919.865928.686955.411983.114981.236975.885938.096879.821826.798773.924
42023-09-05711.801666.938637.28617.405613.037625.891662.059740.345798.268843.262856.54848.382868.211871.876871.12883.988912.423947.157940.253931.387891.761840.697794.743747.71
52023-09-06686.971648.107619.392599.834595.729613.722651.204710.255773.785816.224835.849840.661836.432859.846873.315890.51923.329957.28962.234961.933925.986870.216817.365761.155
62023-09-07702.149663.569632.175611.166607.044617.26650.727708.418762.373803.242815.226812.883804.568818.788823.588832.221864.669899.522903.925907.825873.987827.066782.153736.348
72023-09-08684.362644.507616.285595.609591.165601.753635.088684.328737.865770.289781.737779.748771.02790.638803.99822.944850.502876.27879.596880.133842.801795.606754.231718.54
82023-09-09662.473622.298596.612578.43573.185586.628607.045628.551661.553698.639719.899727.044724.756737.38747.231759.126791.823831.716851.278854.085821.198776.023733.434695.312
92023-09-10645.467607.854583.133566.378563.318576.85590.988608.678623.435662.748694.69712.025721.726720.78722.804741.392781.787815.083838.698849.793820.518771.297729.706687.356
날짜1시2시3시4시5시6시7시8시9시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시
2032024-03-22814.225770.761753.014735.263730.409750.643788.258763.737695.449673.078642.07610.67591.218615.722661.651720.179779.543815.559821.571814.182785.722755.431737.139720.347
2042024-03-23672.608639.458617.281600.732603.489611.349635.307647.074640.717611.964577.317562.453549.236556.977574.282616.962656.142692.512724.934739.475730.455713.093702.752688.644
2052024-03-24643.759610.91593.62585.297586.099602.322622.101645.591679.796706.783705.231697.075699.559668.554664.62677.437709.009741.14769.405786.812776.513755.965738.135716.225
2062024-03-25667.611630.989613.284605.533606.106622.624655.245699.348723.72756.88771.522795.256815.613805.263777.946770.027784.842801.981814.093823.497806.712781.387765.573744.954
2072024-03-26701.722665.605636.983620.109623.171633.853688.671733.632739.59742.663717.574717.122695.184695.491701.652706.921722.834759.213818.694875.791870.113851.712830.206806.308
2082024-03-27765.986732.038719.083709.701712.628733.455760.097721.896667.376662.269639.818609.028590.795594.247616.69670.597705.573739.896797.791829.355817.483796.268777.019754.047
2092024-03-28711.46669.249644.417635.235635.879649.663679.788728.879792.409827.322816.465811.415817.561819.483802.938784.264785.314805.936808.8850.891839.543820.31813.61795.367
2102024-03-29749.352717.683698.368694.631706.233729.529758.504723.196670.34652.503625.583601.299586.935599.592604.799627.74668.231709.746756.958804.328802.689792.149790.506776.899
2112024-03-30734.124694.499668.91650.673653.792656.332659.262632.92595.149590.359575.428559.574547.432538.693543.044558.353596.328644.387690.137750.115750.963731.45717.877701.74
2122024-03-31665.811656.291646.822642.196642.851655.789661.685618.431579.966560.783555.511597.466619.559625.947625.802631.883648.452649.549715.602767.992756.9744.475754.781752.659