Overview

Dataset statistics

Number of variables30
Number of observations2372
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory620.9 KiB
Average record size in memory268.1 B

Variable types

DateTime1
Categorical1
Numeric28

Dataset

Description한국남부발전(주)_제주SMP정보에 대한 데이터로 일자, 요일. SMP(최소, 최대, 산출평균, 가중평균) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15073234/fileData.do

Alerts

일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:18:39.910799
Analysis finished2023-12-12 11:18:40.723771
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct2372
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
Minimum2017-01-01 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T20:18:40.831861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:41.075681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size18.7 KiB
일
339 
월
339 
화
339 
수
339 
목
339 
Other values (2)
677 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일
2nd row월
3rd row화
4th row수
5th row목

Common Values

ValueCountFrequency (%)
일 339
14.3%
월 339
14.3%
화 339
14.3%
수 339
14.3%
목 339
14.3%
금 339
14.3%
토 338
14.2%

Length

2023-12-12T20:18:41.268729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:18:41.467249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일 339
14.3%
월 339
14.3%
화 339
14.3%
수 339
14.3%
목 339
14.3%
금 339
14.3%
토 338
14.2%

최소
Real number (ℝ)

Distinct2007
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.13885
Minimum7.84
Maximum282.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:41.713829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.84
5-th percentile55.212
Q185.625
median114.885
Q3141.6625
95-th percentile213.388
Maximum282.97
Range275.13
Interquartile range (IQR)56.0375

Descriptive statistics

Standard deviation45.018969
Coefficient of variation (CV)0.37786977
Kurtosis0.906748
Mean119.13885
Median Absolute Deviation (MAD)28.045
Skewness0.88683255
Sum282597.35
Variance2026.7076
MonotonicityNot monotonic
2023-12-12T20:18:42.036858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.38 13
 
0.5%
133.43 11
 
0.5%
116.84 11
 
0.5%
149.58 10
 
0.4%
88.23 10
 
0.4%
149.56 10
 
0.4%
125.04 8
 
0.3%
145.83 8
 
0.3%
114.44 8
 
0.3%
102.15 7
 
0.3%
Other values (1997) 2276
96.0%
ValueCountFrequency (%)
7.84 1
< 0.1%
8.05 1
< 0.1%
45.94 1
< 0.1%
46.12 1
< 0.1%
46.15 1
< 0.1%
46.63 1
< 0.1%
46.81 1
< 0.1%
46.86 1
< 0.1%
47.01 1
< 0.1%
47.27 1
< 0.1%
ValueCountFrequency (%)
282.97 1
< 0.1%
281.37 1
< 0.1%
279.5 1
< 0.1%
279.18 1
< 0.1%
278.27 1
< 0.1%
276.83 1
< 0.1%
274.83 1
< 0.1%
267.74 1
< 0.1%
267.31 1
< 0.1%
267.07 1
< 0.1%

최대
Real number (ℝ)

Distinct2201
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.13339
Minimum54.85
Maximum599.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:42.357361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.85
5-th percentile106.3305
Q1150.69
median181.7
Q3226.525
95-th percentile388.406
Maximum599.28
Range544.43
Interquartile range (IQR)75.835

Descriptive statistics

Standard deviation82.478379
Coefficient of variation (CV)0.41006807
Kurtosis3.1907132
Mean201.13339
Median Absolute Deviation (MAD)34.795
Skewness1.5987163
Sum477088.39
Variance6802.683
MonotonicityNot monotonic
2023-12-12T20:18:42.624110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
280.13 6
 
0.3%
153.43 3
 
0.1%
294.3 3
 
0.1%
182.81 3
 
0.1%
299.54 3
 
0.1%
166.13 3
 
0.1%
180.46 3
 
0.1%
159.66 2
 
0.1%
134.95 2
 
0.1%
169.54 2
 
0.1%
Other values (2191) 2342
98.7%
ValueCountFrequency (%)
54.85 1
< 0.1%
54.94 1
< 0.1%
55.05 1
< 0.1%
55.1 1
< 0.1%
55.28 1
< 0.1%
55.36 1
< 0.1%
55.41 1
< 0.1%
55.45 1
< 0.1%
55.5 1
< 0.1%
55.6 1
< 0.1%
ValueCountFrequency (%)
599.28 1
< 0.1%
597.88 1
< 0.1%
527.64 1
< 0.1%
521.97 1
< 0.1%
514.51 1
< 0.1%
513.24 1
< 0.1%
513.05 1
< 0.1%
512.57 1
< 0.1%
511.01 1
< 0.1%
508.7 1
< 0.1%

산출평균
Real number (ℝ)

Distinct2163
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.27353
Minimum53.11
Maximum368.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:42.895095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.11
5-th percentile82.597
Q1117.795
median138.865
Q3166.9375
95-th percentile262.993
Maximum368.96
Range315.85
Interquartile range (IQR)49.1425

Descriptive statistics

Standard deviation54.954858
Coefficient of variation (CV)0.36328139
Kurtosis1.1070453
Mean151.27353
Median Absolute Deviation (MAD)24.18
Skewness1.099813
Sum358820.81
Variance3020.0365
MonotonicityNot monotonic
2023-12-12T20:18:43.157177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.51 4
 
0.2%
119.86 3
 
0.1%
115.28 3
 
0.1%
122.75 3
 
0.1%
161.57 3
 
0.1%
115.4 3
 
0.1%
134.47 3
 
0.1%
125.51 3
 
0.1%
122.8 3
 
0.1%
157.78 3
 
0.1%
Other values (2153) 2341
98.7%
ValueCountFrequency (%)
53.11 1
< 0.1%
53.33 1
< 0.1%
53.93 1
< 0.1%
54.01 1
< 0.1%
54.08 2
0.1%
54.19 1
< 0.1%
54.2 1
< 0.1%
54.26 1
< 0.1%
54.37 1
< 0.1%
54.44 1
< 0.1%
ValueCountFrequency (%)
368.96 1
< 0.1%
363.28 1
< 0.1%
362.95 1
< 0.1%
359.7 1
< 0.1%
359.28 1
< 0.1%
350.18 1
< 0.1%
347.86 1
< 0.1%
344.27 1
< 0.1%
342.86 1
< 0.1%
339.59 1
< 0.1%

가중평균
Real number (ℝ)

Distinct2193
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.0425
Minimum53.18
Maximum380.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:43.402421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.18
5-th percentile83.491
Q1119.005
median140.04
Q3167.835
95-th percentile267.2965
Maximum380.25
Range327.07
Interquartile range (IQR)48.83

Descriptive statistics

Standard deviation56.117224
Coefficient of variation (CV)0.36667739
Kurtosis1.276101
Mean153.0425
Median Absolute Deviation (MAD)24.05
Skewness1.1406637
Sum363016.81
Variance3149.1429
MonotonicityNot monotonic
2023-12-12T20:18:43.638122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147.13 3
 
0.1%
119.01 3
 
0.1%
105.59 3
 
0.1%
156.28 3
 
0.1%
155.71 3
 
0.1%
145.13 3
 
0.1%
120.46 3
 
0.1%
125.65 3
 
0.1%
121.19 3
 
0.1%
123.18 3
 
0.1%
Other values (2183) 2342
98.7%
ValueCountFrequency (%)
53.18 1
< 0.1%
53.44 1
< 0.1%
53.94 1
< 0.1%
54.07 1
< 0.1%
54.12 2
0.1%
54.21 1
< 0.1%
54.22 1
< 0.1%
54.24 1
< 0.1%
54.41 1
< 0.1%
54.45 1
< 0.1%
ValueCountFrequency (%)
380.25 1
< 0.1%
375.37 1
< 0.1%
374.28 1
< 0.1%
372.76 1
< 0.1%
370.5 1
< 0.1%
365.12 1
< 0.1%
359.21 1
< 0.1%
356.44 1
< 0.1%
354.54 1
< 0.1%
353.35 1
< 0.1%

01H
Real number (ℝ)

Distinct2116
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.71862
Minimum53.32
Maximum498.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:43.878540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.32
5-th percentile72.636
Q1113.4875
median136.435
Q3168.735
95-th percentile270.534
Maximum498.74
Range445.42
Interquartile range (IQR)55.2475

Descriptive statistics

Standard deviation60.95812
Coefficient of variation (CV)0.40715122
Kurtosis2.9599482
Mean149.71862
Median Absolute Deviation (MAD)26.6
Skewness1.4097432
Sum355132.57
Variance3715.8924
MonotonicityNot monotonic
2023-12-12T20:18:44.110461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 16
 
0.7%
102.15 9
 
0.4%
176.09 8
 
0.3%
225.22 7
 
0.3%
171.28 7
 
0.3%
125.04 6
 
0.3%
88.79 5
 
0.2%
173.22 4
 
0.2%
135.74 4
 
0.2%
88.23 4
 
0.2%
Other values (2106) 2302
97.0%
ValueCountFrequency (%)
53.32 1
< 0.1%
53.39 1
< 0.1%
53.48 1
< 0.1%
53.54 1
< 0.1%
53.56 1
< 0.1%
53.58 1
< 0.1%
53.69 2
0.1%
53.81 1
< 0.1%
54.05 1
< 0.1%
54.3 2
0.1%
ValueCountFrequency (%)
498.74 1
< 0.1%
497.0 1
< 0.1%
446.62 1
< 0.1%
437.33 1
< 0.1%
430.8 1
< 0.1%
429.83 1
< 0.1%
421.35 1
< 0.1%
416.32 1
< 0.1%
411.55 1
< 0.1%
405.23 1
< 0.1%

02H
Real number (ℝ)

Distinct2085
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.8907
Minimum50.16
Maximum418.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:44.366514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.16
5-th percentile70.641
Q1110.28
median131.755
Q3163.595
95-th percentile262.7675
Maximum418.14
Range367.98
Interquartile range (IQR)53.315

Descriptive statistics

Standard deviation57.524021
Coefficient of variation (CV)0.39977581
Kurtosis2.9270064
Mean143.8907
Median Absolute Deviation (MAD)26.575
Skewness1.3979405
Sum341308.74
Variance3309.013
MonotonicityNot monotonic
2023-12-12T20:18:45.121859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 16
 
0.7%
176.09 13
 
0.5%
102.15 8
 
0.3%
88.79 8
 
0.3%
125.04 6
 
0.3%
88.23 5
 
0.2%
225.22 5
 
0.2%
120.95 4
 
0.2%
126.95 4
 
0.2%
220.89 4
 
0.2%
Other values (2075) 2299
96.9%
ValueCountFrequency (%)
50.16 1
< 0.1%
50.51 1
< 0.1%
50.91 1
< 0.1%
52.58 1
< 0.1%
52.77 1
< 0.1%
52.94 1
< 0.1%
53.26 1
< 0.1%
53.32 1
< 0.1%
53.33 1
< 0.1%
53.35 1
< 0.1%
ValueCountFrequency (%)
418.14 1
< 0.1%
417.85 1
< 0.1%
417.16 1
< 0.1%
415.5 1
< 0.1%
415.19 1
< 0.1%
407.06 1
< 0.1%
406.01 1
< 0.1%
399.3 1
< 0.1%
395.38 1
< 0.1%
390.29 1
< 0.1%

03H
Real number (ℝ)

Distinct2066
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.59226
Minimum50.45
Maximum418.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:45.381748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.45
5-th percentile69.8375
Q1108.0625
median128.4
Q3160.9125
95-th percentile247.4915
Maximum418.31
Range367.86
Interquartile range (IQR)52.85

Descriptive statistics

Standard deviation54.371341
Coefficient of variation (CV)0.3895011
Kurtosis3.125871
Mean139.59226
Median Absolute Deviation (MAD)25.995
Skewness1.3769034
Sum331112.85
Variance2956.2427
MonotonicityNot monotonic
2023-12-12T20:18:45.649905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 18
 
0.8%
176.09 16
 
0.7%
88.79 8
 
0.3%
102.15 6
 
0.3%
125.04 6
 
0.3%
194.03 5
 
0.2%
146.36 5
 
0.2%
225.22 5
 
0.2%
116.84 5
 
0.2%
117.57 5
 
0.2%
Other values (2056) 2293
96.7%
ValueCountFrequency (%)
50.45 1
< 0.1%
50.81 1
< 0.1%
51.59 1
< 0.1%
52.22 1
< 0.1%
52.6 2
0.1%
52.63 1
< 0.1%
52.94 1
< 0.1%
52.96 1
< 0.1%
53.03 1
< 0.1%
53.13 1
< 0.1%
ValueCountFrequency (%)
418.31 1
< 0.1%
402.13 1
< 0.1%
400.25 1
< 0.1%
395.56 1
< 0.1%
393.1 1
< 0.1%
387.7 1
< 0.1%
383.88 1
< 0.1%
383.64 1
< 0.1%
382.88 1
< 0.1%
382.48 1
< 0.1%

04H
Real number (ℝ)

Distinct2013
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.40488
Minimum46.12
Maximum405.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:45.913156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.12
5-th percentile69.7155
Q1109.33
median127.6
Q3156.965
95-th percentile236.011
Maximum405.76
Range359.64
Interquartile range (IQR)47.635

Descriptive statistics

Standard deviation52.123932
Coefficient of variation (CV)0.37934558
Kurtosis3.2583665
Mean137.40488
Median Absolute Deviation (MAD)24.18
Skewness1.3626733
Sum325924.37
Variance2716.9043
MonotonicityNot monotonic
2023-12-12T20:18:46.164612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 19
 
0.8%
176.09 15
 
0.6%
120.38 11
 
0.5%
116.84 8
 
0.3%
136.8 8
 
0.3%
102.15 8
 
0.3%
88.79 7
 
0.3%
145.83 7
 
0.3%
146.36 7
 
0.3%
125.04 7
 
0.3%
Other values (2003) 2275
95.9%
ValueCountFrequency (%)
46.12 1
< 0.1%
46.86 1
< 0.1%
48.1 1
< 0.1%
49.03 1
< 0.1%
50.45 1
< 0.1%
50.51 1
< 0.1%
50.64 1
< 0.1%
51.52 1
< 0.1%
51.95 1
< 0.1%
52.22 1
< 0.1%
ValueCountFrequency (%)
405.76 1
< 0.1%
395.3 1
< 0.1%
389.91 1
< 0.1%
386.02 1
< 0.1%
382.88 1
< 0.1%
379.53 1
< 0.1%
375.28 1
< 0.1%
374.07 1
< 0.1%
373.35 1
< 0.1%
371.04 1
< 0.1%

05H
Real number (ℝ)

Distinct2029
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.28142
Minimum46.12
Maximum398.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:46.407423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.12
5-th percentile69.7855
Q1109.4975
median128.12
Q3157.51
95-th percentile239.0735
Maximum398.34
Range352.22
Interquartile range (IQR)48.0125

Descriptive statistics

Standard deviation52.461543
Coefficient of variation (CV)0.37938246
Kurtosis2.9909504
Mean138.28142
Median Absolute Deviation (MAD)24.235
Skewness1.3253564
Sum328003.52
Variance2752.2135
MonotonicityNot monotonic
2023-12-12T20:18:46.647805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 18
 
0.8%
176.09 12
 
0.5%
120.38 12
 
0.5%
102.15 8
 
0.3%
88.79 8
 
0.3%
149.56 7
 
0.3%
146.36 7
 
0.3%
116.84 7
 
0.3%
125.04 6
 
0.3%
117.57 6
 
0.3%
Other values (2019) 2281
96.2%
ValueCountFrequency (%)
46.12 1
< 0.1%
46.86 1
< 0.1%
48.1 1
< 0.1%
49.03 1
< 0.1%
50.45 1
< 0.1%
50.51 1
< 0.1%
50.56 1
< 0.1%
50.61 1
< 0.1%
50.7 1
< 0.1%
50.73 1
< 0.1%
ValueCountFrequency (%)
398.34 1
< 0.1%
395.3 1
< 0.1%
389.91 1
< 0.1%
381.29 1
< 0.1%
379.53 1
< 0.1%
379.49 1
< 0.1%
379.32 1
< 0.1%
374.86 1
< 0.1%
374.49 1
< 0.1%
374.19 1
< 0.1%

06H
Real number (ℝ)

Distinct2096
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.47874
Minimum47.19
Maximum406.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:46.915845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.19
5-th percentile70.462
Q1109.99
median130.385
Q3162.8125
95-th percentile252.7315
Maximum406.14
Range358.95
Interquartile range (IQR)52.8225

Descriptive statistics

Standard deviation54.753726
Coefficient of variation (CV)0.38701029
Kurtosis2.5855281
Mean141.47874
Median Absolute Deviation (MAD)26.185
Skewness1.2917002
Sum335587.56
Variance2997.9706
MonotonicityNot monotonic
2023-12-12T20:18:47.180760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 16
 
0.7%
176.09 14
 
0.6%
125.04 8
 
0.3%
88.79 7
 
0.3%
102.15 6
 
0.3%
116.84 6
 
0.3%
146.36 6
 
0.3%
117.57 5
 
0.2%
220.89 4
 
0.2%
87.32 4
 
0.2%
Other values (2086) 2296
96.8%
ValueCountFrequency (%)
47.19 1
< 0.1%
50.51 1
< 0.1%
50.71 1
< 0.1%
50.81 1
< 0.1%
52.34 1
< 0.1%
52.45 1
< 0.1%
52.48 1
< 0.1%
52.63 1
< 0.1%
52.82 1
< 0.1%
53.56 1
< 0.1%
ValueCountFrequency (%)
406.14 1
< 0.1%
406.01 1
< 0.1%
399.03 1
< 0.1%
392.48 1
< 0.1%
385.81 1
< 0.1%
381.91 1
< 0.1%
381.27 1
< 0.1%
379.42 1
< 0.1%
378.2 1
< 0.1%
376.89 1
< 0.1%

07H
Real number (ℝ)

Distinct2103
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.52302
Minimum52.48
Maximum412.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:47.417721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.48
5-th percentile70.6885
Q1110.215
median133.71
Q3165.2725
95-th percentile264.6535
Maximum412.64
Range360.16
Interquartile range (IQR)55.0575

Descriptive statistics

Standard deviation55.895192
Coefficient of variation (CV)0.38675633
Kurtosis1.852007
Mean144.52302
Median Absolute Deviation (MAD)27.955
Skewness1.1807183
Sum342808.6
Variance3124.2725
MonotonicityNot monotonic
2023-12-12T20:18:47.674536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 12
 
0.5%
176.09 12
 
0.5%
102.15 7
 
0.3%
88.79 7
 
0.3%
228.92 6
 
0.3%
88.23 6
 
0.3%
120.38 4
 
0.2%
146.36 4
 
0.2%
149.94 4
 
0.2%
171.84 4
 
0.2%
Other values (2093) 2306
97.2%
ValueCountFrequency (%)
52.48 1
< 0.1%
53.22 1
< 0.1%
53.4 1
< 0.1%
53.43 1
< 0.1%
53.48 1
< 0.1%
53.5 1
< 0.1%
53.63 1
< 0.1%
53.69 1
< 0.1%
54.04 1
< 0.1%
54.05 1
< 0.1%
ValueCountFrequency (%)
412.64 1
< 0.1%
402.12 1
< 0.1%
389.01 1
< 0.1%
387.78 1
< 0.1%
382.06 1
< 0.1%
379.43 1
< 0.1%
376.16 1
< 0.1%
372.84 1
< 0.1%
368.51 1
< 0.1%
367.76 1
< 0.1%

08H
Real number (ℝ)

Distinct2139
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.11962
Minimum47.9
Maximum458.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:47.952134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.9
5-th percentile71.851
Q1109.99
median134.67
Q3168.25
95-th percentile271.066
Maximum458.87
Range410.97
Interquartile range (IQR)58.26

Descriptive statistics

Standard deviation59.102706
Coefficient of variation (CV)0.40173233
Kurtosis1.4680269
Mean147.11962
Median Absolute Deviation (MAD)29.285
Skewness1.1288814
Sum348967.73
Variance3493.1299
MonotonicityNot monotonic
2023-12-12T20:18:48.178184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 12
 
0.5%
152.23 5
 
0.2%
88.79 4
 
0.2%
220.89 4
 
0.2%
124.89 4
 
0.2%
215.46 4
 
0.2%
141.77 4
 
0.2%
102.15 4
 
0.2%
125.04 4
 
0.2%
85.49 3
 
0.1%
Other values (2129) 2324
98.0%
ValueCountFrequency (%)
47.9 1
< 0.1%
50.02 1
< 0.1%
53.06 1
< 0.1%
53.13 1
< 0.1%
53.14 1
< 0.1%
53.32 2
0.1%
53.63 2
0.1%
53.69 1
< 0.1%
53.72 1
< 0.1%
53.78 1
< 0.1%
ValueCountFrequency (%)
458.87 1
< 0.1%
419.31 1
< 0.1%
404.84 1
< 0.1%
394.31 1
< 0.1%
394.06 1
< 0.1%
388.86 1
< 0.1%
385.43 1
< 0.1%
379.17 1
< 0.1%
374.38 1
< 0.1%
373.12 1
< 0.1%

09H
Real number (ℝ)

Distinct2119
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.3466
Minimum48.04
Maximum501.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:48.433991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.04
5-th percentile71.994
Q1109.9375
median137.715
Q3168.615
95-th percentile277.883
Maximum501.21
Range453.17
Interquartile range (IQR)58.6775

Descriptive statistics

Standard deviation59.552302
Coefficient of variation (CV)0.40144029
Kurtosis1.202799
Mean148.3466
Median Absolute Deviation (MAD)29.295
Skewness1.0485156
Sum351878.13
Variance3546.4767
MonotonicityNot monotonic
2023-12-12T20:18:48.719094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 12
 
0.5%
220.89 6
 
0.3%
215.19 6
 
0.3%
280.13 5
 
0.2%
270.93 5
 
0.2%
136.8 5
 
0.2%
152.23 4
 
0.2%
133.43 4
 
0.2%
85.18 4
 
0.2%
202.22 4
 
0.2%
Other values (2109) 2317
97.7%
ValueCountFrequency (%)
48.04 1
< 0.1%
49.8 1
< 0.1%
53.23 1
< 0.1%
53.26 2
0.1%
53.34 1
< 0.1%
53.35 1
< 0.1%
53.44 1
< 0.1%
53.48 1
< 0.1%
53.49 1
< 0.1%
53.51 1
< 0.1%
ValueCountFrequency (%)
501.21 1
< 0.1%
411.55 1
< 0.1%
401.94 1
< 0.1%
398.51 1
< 0.1%
397.44 1
< 0.1%
381.8 1
< 0.1%
370.63 1
< 0.1%
363.52 1
< 0.1%
359.48 1
< 0.1%
340.27 1
< 0.1%

10H
Real number (ℝ)

Distinct2074
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.77533
Minimum47.01
Maximum502.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:48.937680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.01
5-th percentile70.37
Q1104.2225
median133.49
Q3166.9075
95-th percentile275.294
Maximum502.67
Range455.66
Interquartile range (IQR)62.685

Descriptive statistics

Standard deviation60.567256
Coefficient of variation (CV)0.41835343
Kurtosis1.6070997
Mean144.77533
Median Absolute Deviation (MAD)31.5
Skewness1.1555429
Sum343407.08
Variance3668.3925
MonotonicityNot monotonic
2023-12-12T20:18:49.166914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.58 10
 
0.4%
270.93 10
 
0.4%
215.19 9
 
0.4%
176.09 7
 
0.3%
228.92 7
 
0.3%
272.36 6
 
0.3%
202.22 5
 
0.2%
88.79 5
 
0.2%
148.6 5
 
0.2%
88.23 4
 
0.2%
Other values (2064) 2304
97.1%
ValueCountFrequency (%)
47.01 1
< 0.1%
49.41 1
< 0.1%
49.53 1
< 0.1%
49.8 1
< 0.1%
49.95 1
< 0.1%
49.97 1
< 0.1%
50.16 1
< 0.1%
51.0 1
< 0.1%
51.72 1
< 0.1%
52.4 1
< 0.1%
ValueCountFrequency (%)
502.67 1
< 0.1%
434.11 1
< 0.1%
411.81 1
< 0.1%
408.98 1
< 0.1%
404.51 1
< 0.1%
402.63 1
< 0.1%
387.18 1
< 0.1%
385.65 1
< 0.1%
374.83 1
< 0.1%
368.8 1
< 0.1%

11H
Real number (ℝ)

Distinct2082
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.15995
Minimum45.94
Maximum443.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:49.404173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.94
5-th percentile67.6945
Q198.845
median129.445
Q3164.5125
95-th percentile270.3965
Maximum443.91
Range397.97
Interquartile range (IQR)65.6675

Descriptive statistics

Standard deviation58.381433
Coefficient of variation (CV)0.41358354
Kurtosis1.256615
Mean141.15995
Median Absolute Deviation (MAD)33.56
Skewness1.0892087
Sum334831.41
Variance3408.3917
MonotonicityNot monotonic
2023-12-12T20:18:49.640690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202.22 9
 
0.4%
176.09 7
 
0.3%
219.4 7
 
0.3%
133.43 6
 
0.3%
125.04 5
 
0.2%
272.36 5
 
0.2%
88.79 5
 
0.2%
148.6 5
 
0.2%
207.58 5
 
0.2%
102.15 4
 
0.2%
Other values (2072) 2314
97.6%
ValueCountFrequency (%)
45.94 1
< 0.1%
46.56 1
< 0.1%
47.43 1
< 0.1%
47.63 1
< 0.1%
47.94 1
< 0.1%
47.98 1
< 0.1%
49.27 1
< 0.1%
49.34 1
< 0.1%
49.41 1
< 0.1%
49.46 1
< 0.1%
ValueCountFrequency (%)
443.91 1
< 0.1%
443.55 1
< 0.1%
394.47 1
< 0.1%
369.18 1
< 0.1%
368.8 1
< 0.1%
368.14 1
< 0.1%
350.91 1
< 0.1%
348.67 1
< 0.1%
309.61 1
< 0.1%
309.34 1
< 0.1%

12H
Real number (ℝ)

Distinct2112
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.95749
Minimum8.05
Maximum442.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:49.890070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.05
5-th percentile62.3575
Q194.0625
median127.455
Q3162.295
95-th percentile261.8915
Maximum442.41
Range434.36
Interquartile range (IQR)68.2325

Descriptive statistics

Standard deviation57.203556
Coefficient of variation (CV)0.41464626
Kurtosis1.6008427
Mean137.95749
Median Absolute Deviation (MAD)34.655
Skewness1.1428088
Sum327235.16
Variance3272.2468
MonotonicityNot monotonic
2023-12-12T20:18:50.101604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219.4 8
 
0.3%
88.23 8
 
0.3%
133.43 7
 
0.3%
176.09 7
 
0.3%
88.79 6
 
0.3%
125.04 5
 
0.2%
147.8 5
 
0.2%
116.84 4
 
0.2%
157.51 4
 
0.2%
139.73 4
 
0.2%
Other values (2102) 2314
97.6%
ValueCountFrequency (%)
8.05 1
< 0.1%
45.94 1
< 0.1%
46.15 1
< 0.1%
46.81 1
< 0.1%
47.03 1
< 0.1%
47.33 1
< 0.1%
47.48 1
< 0.1%
47.86 1
< 0.1%
48.1 1
< 0.1%
48.3 1
< 0.1%
ValueCountFrequency (%)
442.41 1
< 0.1%
433.33 1
< 0.1%
387.47 1
< 0.1%
374.83 1
< 0.1%
369.32 1
< 0.1%
369.21 1
< 0.1%
369.18 1
< 0.1%
368.76 1
< 0.1%
358.89 1
< 0.1%
348.63 1
< 0.1%

13H
Real number (ℝ)

Distinct2094
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.66636
Minimum7.84
Maximum445.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:50.333861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.84
5-th percentile61.4855
Q190.25
median122.705
Q3156.7825
95-th percentile253.785
Maximum445.35
Range437.51
Interquartile range (IQR)66.5325

Descriptive statistics

Standard deviation55.265468
Coefficient of variation (CV)0.41657483
Kurtosis2.2198352
Mean132.66636
Median Absolute Deviation (MAD)33.13
Skewness1.2181583
Sum314684.61
Variance3054.2719
MonotonicityNot monotonic
2023-12-12T20:18:50.550078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.43 9
 
0.4%
88.23 9
 
0.4%
125.04 8
 
0.3%
102.15 6
 
0.3%
116.84 6
 
0.3%
145.83 6
 
0.3%
147.8 6
 
0.3%
176.09 6
 
0.3%
123.8 5
 
0.2%
139.73 5
 
0.2%
Other values (2084) 2306
97.2%
ValueCountFrequency (%)
7.84 1
< 0.1%
45.94 1
< 0.1%
46.15 1
< 0.1%
46.63 1
< 0.1%
46.81 1
< 0.1%
47.12 1
< 0.1%
47.27 1
< 0.1%
47.51 1
< 0.1%
47.57 2
0.1%
48.27 1
< 0.1%
ValueCountFrequency (%)
445.35 1
< 0.1%
442.57 1
< 0.1%
420.97 1
< 0.1%
417.41 1
< 0.1%
406.82 1
< 0.1%
398.17 1
< 0.1%
382.41 1
< 0.1%
350.91 1
< 0.1%
297.72 1
< 0.1%
295.92 1
< 0.1%

14H
Real number (ℝ)

Distinct2102
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.12413
Minimum45.94
Maximum467.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:50.778216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.94
5-th percentile63.716
Q191.53
median126.145
Q3161.76
95-th percentile258.6915
Maximum467.7
Range421.76
Interquartile range (IQR)70.23

Descriptive statistics

Standard deviation57.540407
Coefficient of variation (CV)0.41962277
Kurtosis2.6006239
Mean137.12413
Median Absolute Deviation (MAD)35.075
Skewness1.2978774
Sum325258.43
Variance3310.8984
MonotonicityNot monotonic
2023-12-12T20:18:50.989577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.23 13
 
0.5%
102.15 8
 
0.3%
176.09 6
 
0.3%
147.8 6
 
0.3%
133.43 6
 
0.3%
88.79 5
 
0.2%
123.8 5
 
0.2%
145.83 4
 
0.2%
219.4 4
 
0.2%
125.04 4
 
0.2%
Other values (2092) 2311
97.4%
ValueCountFrequency (%)
45.94 1
< 0.1%
46.81 1
< 0.1%
47.03 1
< 0.1%
47.51 1
< 0.1%
47.99 1
< 0.1%
48.56 1
< 0.1%
48.58 1
< 0.1%
49.05 1
< 0.1%
49.23 1
< 0.1%
49.25 1
< 0.1%
ValueCountFrequency (%)
467.7 1
< 0.1%
446.07 1
< 0.1%
437.22 1
< 0.1%
435.04 1
< 0.1%
434.34 1
< 0.1%
425.78 1
< 0.1%
390.96 1
< 0.1%
369.37 1
< 0.1%
369.18 1
< 0.1%
369.16 1
< 0.1%

15H
Real number (ℝ)

Distinct2113
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.78285
Minimum45.94
Maximum465.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:51.232432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.94
5-th percentile69.276
Q198.8
median128.465
Q3163.51
95-th percentile263.4915
Maximum465.34
Range419.4
Interquartile range (IQR)64.71

Descriptive statistics

Standard deviation57.378043
Coefficient of variation (CV)0.41047985
Kurtosis2.4913028
Mean139.78285
Median Absolute Deviation (MAD)33.775
Skewness1.266807
Sum331564.92
Variance3292.2398
MonotonicityNot monotonic
2023-12-12T20:18:51.473412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.44 6
 
0.3%
147.8 6
 
0.3%
88.23 6
 
0.3%
102.15 6
 
0.3%
176.09 6
 
0.3%
125.04 5
 
0.2%
219.4 4
 
0.2%
88.79 4
 
0.2%
133.43 4
 
0.2%
120.38 4
 
0.2%
Other values (2103) 2321
97.8%
ValueCountFrequency (%)
45.94 1
< 0.1%
46.81 1
< 0.1%
47.03 1
< 0.1%
47.39 1
< 0.1%
49.07 1
< 0.1%
49.27 1
< 0.1%
49.34 1
< 0.1%
50.02 1
< 0.1%
50.96 1
< 0.1%
51.0 1
< 0.1%
ValueCountFrequency (%)
465.34 1
< 0.1%
459.56 1
< 0.1%
440.47 1
< 0.1%
430.12 1
< 0.1%
429.68 1
< 0.1%
425.81 1
< 0.1%
421.65 1
< 0.1%
369.94 1
< 0.1%
368.76 1
< 0.1%
368.1 1
< 0.1%

16H
Real number (ℝ)

Distinct2112
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.66992
Minimum45.94
Maximum490.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:52.318364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.94
5-th percentile71.345
Q1107.1575
median133.245
Q3167.89
95-th percentile270.93
Maximum490.79
Range444.85
Interquartile range (IQR)60.7325

Descriptive statistics

Standard deviation61.970948
Coefficient of variation (CV)0.42542036
Kurtosis3.7764812
Mean145.66992
Median Absolute Deviation (MAD)31.885
Skewness1.5263604
Sum345529.04
Variance3840.3984
MonotonicityNot monotonic
2023-12-12T20:18:52.578643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177.23 8
 
0.3%
102.15 6
 
0.3%
176.09 6
 
0.3%
216.31 5
 
0.2%
147.8 5
 
0.2%
70.77 4
 
0.2%
79.58 4
 
0.2%
203.33 4
 
0.2%
125.04 4
 
0.2%
80.52 4
 
0.2%
Other values (2102) 2322
97.9%
ValueCountFrequency (%)
45.94 1
< 0.1%
47.54 1
< 0.1%
49.74 1
< 0.1%
50.13 1
< 0.1%
53.18 1
< 0.1%
53.36 1
< 0.1%
53.39 1
< 0.1%
53.54 1
< 0.1%
53.78 1
< 0.1%
53.82 1
< 0.1%
ValueCountFrequency (%)
490.79 1
< 0.1%
471.11 1
< 0.1%
467.07 1
< 0.1%
462.35 1
< 0.1%
450.65 1
< 0.1%
444.49 1
< 0.1%
440.96 1
< 0.1%
440.53 1
< 0.1%
435.92 1
< 0.1%
435.44 1
< 0.1%

17H
Real number (ℝ)

Distinct2135
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.6878
Minimum53.54
Maximum505.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:52.833480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.54
5-th percentile76.2195
Q1116.2825
median140.555
Q3178.975
95-th percentile279.918
Maximum505.77
Range452.23
Interquartile range (IQR)62.6925

Descriptive statistics

Standard deviation69.081549
Coefficient of variation (CV)0.44088658
Kurtosis4.6325317
Mean156.6878
Median Absolute Deviation (MAD)30.675
Skewness1.736702
Sum371663.47
Variance4772.2605
MonotonicityNot monotonic
2023-12-12T20:18:53.084361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177.33 7
 
0.3%
209.04 6
 
0.3%
203.43 6
 
0.3%
141.79 5
 
0.2%
272.36 5
 
0.2%
102.15 5
 
0.2%
120.42 4
 
0.2%
129.22 4
 
0.2%
139.12 4
 
0.2%
131.17 4
 
0.2%
Other values (2125) 2322
97.9%
ValueCountFrequency (%)
53.54 1
< 0.1%
53.78 1
< 0.1%
53.84 1
< 0.1%
53.96 1
< 0.1%
53.98 1
< 0.1%
54.15 1
< 0.1%
54.18 1
< 0.1%
54.47 2
0.1%
54.53 1
< 0.1%
54.55 1
< 0.1%
ValueCountFrequency (%)
505.77 1
< 0.1%
490.71 1
< 0.1%
486.23 1
< 0.1%
485.0 1
< 0.1%
483.11 1
< 0.1%
479.46 1
< 0.1%
477.9 1
< 0.1%
476.0 1
< 0.1%
475.17 1
< 0.1%
470.79 1
< 0.1%

18H
Real number (ℝ)

Distinct2168
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.51462
Minimum53.36
Maximum599.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:53.339780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.36
5-th percentile85.134
Q1124.0725
median154.87
Q3193.915
95-th percentile284.428
Maximum599.28
Range545.92
Interquartile range (IQR)69.8425

Descriptive statistics

Standard deviation71.725239
Coefficient of variation (CV)0.42563215
Kurtosis4.8739271
Mean168.51462
Median Absolute Deviation (MAD)33.145
Skewness1.7258912
Sum399716.67
Variance5144.5098
MonotonicityNot monotonic
2023-12-12T20:18:53.598981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209.17 13
 
0.5%
142.24 7
 
0.3%
209.04 4
 
0.2%
138.87 3
 
0.1%
122.31 3
 
0.1%
221.07 3
 
0.1%
131.58 3
 
0.1%
147.8 3
 
0.1%
152.86 3
 
0.1%
127.54 3
 
0.1%
Other values (2158) 2327
98.1%
ValueCountFrequency (%)
53.36 1
< 0.1%
53.52 1
< 0.1%
53.54 1
< 0.1%
53.98 1
< 0.1%
54.18 1
< 0.1%
54.26 1
< 0.1%
54.47 2
0.1%
54.53 1
< 0.1%
54.55 1
< 0.1%
54.65 1
< 0.1%
ValueCountFrequency (%)
599.28 1
< 0.1%
597.82 1
< 0.1%
513.24 1
< 0.1%
490.35 1
< 0.1%
490.04 1
< 0.1%
487.37 1
< 0.1%
483.55 1
< 0.1%
482.61 1
< 0.1%
482.06 1
< 0.1%
481.03 1
< 0.1%

19H
Real number (ℝ)

Distinct2205
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.91172
Minimum53.58
Maximum597.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:53.854421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.58
5-th percentile87.014
Q1130.425
median162.505
Q3202.475
95-th percentile289.123
Maximum597.88
Range544.3
Interquartile range (IQR)72.05

Descriptive statistics

Standard deviation73.368471
Coefficient of variation (CV)0.41471799
Kurtosis4.1825068
Mean176.91172
Median Absolute Deviation (MAD)34.95
Skewness1.6145442
Sum419634.59
Variance5382.9326
MonotonicityNot monotonic
2023-12-12T20:18:54.116451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171.84 4
 
0.2%
209.17 4
 
0.2%
180.46 3
 
0.1%
121.71 3
 
0.1%
141.47 3
 
0.1%
160.05 3
 
0.1%
86.88 3
 
0.1%
145.08 3
 
0.1%
142.79 3
 
0.1%
152.25 3
 
0.1%
Other values (2195) 2340
98.7%
ValueCountFrequency (%)
53.58 1
< 0.1%
53.6 1
< 0.1%
54.24 1
< 0.1%
54.75 2
0.1%
54.79 1
< 0.1%
54.86 1
< 0.1%
54.9 1
< 0.1%
54.97 1
< 0.1%
55.05 1
< 0.1%
55.08 1
< 0.1%
ValueCountFrequency (%)
597.88 1
< 0.1%
527.64 1
< 0.1%
521.97 1
< 0.1%
513.24 1
< 0.1%
494.18 1
< 0.1%
487.77 1
< 0.1%
483.8 1
< 0.1%
482.06 1
< 0.1%
481.24 1
< 0.1%
480.64 1
< 0.1%

20H
Real number (ℝ)

Distinct2211
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.45263
Minimum53.58
Maximum513.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:54.351209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.58
5-th percentile89.6685
Q1135.635
median167.535
Q3210.5175
95-th percentile299.54
Maximum513.24
Range459.66
Interquartile range (IQR)74.8825

Descriptive statistics

Standard deviation76.777145
Coefficient of variation (CV)0.4208059
Kurtosis3.8530908
Mean182.45263
Median Absolute Deviation (MAD)35.88
Skewness1.6113227
Sum432777.65
Variance5894.73
MonotonicityNot monotonic
2023-12-12T20:18:54.574044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170.44 3
 
0.1%
171.84 3
 
0.1%
299.54 3
 
0.1%
111.77 3
 
0.1%
197.27 3
 
0.1%
177.51 3
 
0.1%
141.72 3
 
0.1%
94.83 3
 
0.1%
214.43 3
 
0.1%
141.22 3
 
0.1%
Other values (2201) 2342
98.7%
ValueCountFrequency (%)
53.58 1
< 0.1%
53.6 1
< 0.1%
54.24 1
< 0.1%
54.75 1
< 0.1%
54.79 1
< 0.1%
54.85 1
< 0.1%
54.86 1
< 0.1%
54.9 1
< 0.1%
55.05 1
< 0.1%
55.08 1
< 0.1%
ValueCountFrequency (%)
513.24 1
< 0.1%
513.05 1
< 0.1%
512.57 1
< 0.1%
508.7 1
< 0.1%
508.0 1
< 0.1%
506.04 1
< 0.1%
505.03 1
< 0.1%
504.18 1
< 0.1%
502.68 1
< 0.1%
500.36 1
< 0.1%

21H
Real number (ℝ)

Distinct2211
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.90561
Minimum53.58
Maximum506.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:54.834013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.58
5-th percentile88.4665
Q1131.775
median163.805
Q3205.4325
95-th percentile291.457
Maximum506.47
Range452.89
Interquartile range (IQR)73.6575

Descriptive statistics

Standard deviation74.006358
Coefficient of variation (CV)0.41598664
Kurtosis3.7258003
Mean177.90561
Median Absolute Deviation (MAD)34.87
Skewness1.5703859
Sum421992.11
Variance5476.941
MonotonicityNot monotonic
2023-12-12T20:18:55.104151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.15 4
 
0.2%
122.31 4
 
0.2%
174.7 3
 
0.1%
146.36 3
 
0.1%
171.84 3
 
0.1%
113.63 3
 
0.1%
144.04 3
 
0.1%
268.42 3
 
0.1%
178.79 3
 
0.1%
156.16 3
 
0.1%
Other values (2201) 2340
98.7%
ValueCountFrequency (%)
53.58 1
< 0.1%
53.6 1
< 0.1%
54.24 1
< 0.1%
54.72 1
< 0.1%
54.75 1
< 0.1%
54.76 1
< 0.1%
54.79 1
< 0.1%
54.85 1
< 0.1%
54.86 1
< 0.1%
54.9 1
< 0.1%
ValueCountFrequency (%)
506.47 1
< 0.1%
506.02 1
< 0.1%
490.23 1
< 0.1%
490.2 1
< 0.1%
485.35 1
< 0.1%
485.0 1
< 0.1%
477.85 1
< 0.1%
477.69 1
< 0.1%
476.12 1
< 0.1%
475.51 1
< 0.1%

22H
Real number (ℝ)

Distinct2199
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.23184
Minimum53.41
Maximum514.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:55.328237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.41
5-th percentile82.113
Q1125.51
median155.88
Q3191.7875
95-th percentile285.9115
Maximum514.51
Range461.1
Interquartile range (IQR)66.2775

Descriptive statistics

Standard deviation73.170937
Coefficient of variation (CV)0.42983109
Kurtosis4.5724429
Mean170.23184
Median Absolute Deviation (MAD)32.25
Skewness1.7314147
Sum403789.92
Variance5353.986
MonotonicityNot monotonic
2023-12-12T20:18:55.529502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.15 4
 
0.2%
144.78 4
 
0.2%
171.84 4
 
0.2%
54.85 3
 
0.1%
268.42 3
 
0.1%
161.08 3
 
0.1%
250.88 3
 
0.1%
113.63 3
 
0.1%
286.63 3
 
0.1%
150.25 3
 
0.1%
Other values (2189) 2339
98.6%
ValueCountFrequency (%)
53.41 1
< 0.1%
53.48 1
< 0.1%
53.58 1
< 0.1%
53.6 1
< 0.1%
54.24 1
< 0.1%
54.71 1
< 0.1%
54.72 1
< 0.1%
54.75 1
< 0.1%
54.76 1
< 0.1%
54.78 1
< 0.1%
ValueCountFrequency (%)
514.51 1
< 0.1%
511.01 1
< 0.1%
504.75 1
< 0.1%
502.25 1
< 0.1%
496.86 1
< 0.1%
496.73 1
< 0.1%
495.79 1
< 0.1%
493.07 1
< 0.1%
487.4 1
< 0.1%
486.54 1
< 0.1%

23H
Real number (ℝ)

Distinct2190
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.50773
Minimum53.41
Maximum511.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:55.719260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.41
5-th percentile81.6365
Q1123.465
median151.37
Q3186.7125
95-th percentile286.7045
Maximum511.82
Range458.41
Interquartile range (IQR)63.2475

Descriptive statistics

Standard deviation71.65525
Coefficient of variation (CV)0.43034189
Kurtosis3.7999737
Mean166.50773
Median Absolute Deviation (MAD)30.56
Skewness1.6387067
Sum394956.33
Variance5134.4749
MonotonicityNot monotonic
2023-12-12T20:18:55.909882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.15 4
 
0.2%
171.84 4
 
0.2%
177.44 3
 
0.1%
147.18 3
 
0.1%
113.63 3
 
0.1%
139.12 3
 
0.1%
157.26 3
 
0.1%
111.26 3
 
0.1%
175.35 3
 
0.1%
132.17 3
 
0.1%
Other values (2180) 2340
98.7%
ValueCountFrequency (%)
53.41 1
< 0.1%
53.48 1
< 0.1%
53.6 1
< 0.1%
53.84 1
< 0.1%
54.24 1
< 0.1%
54.6 1
< 0.1%
54.71 1
< 0.1%
54.72 1
< 0.1%
54.75 1
< 0.1%
54.76 1
< 0.1%
ValueCountFrequency (%)
511.82 1
< 0.1%
495.43 1
< 0.1%
488.41 1
< 0.1%
481.6 1
< 0.1%
476.76 1
< 0.1%
473.84 1
< 0.1%
469.46 1
< 0.1%
468.28 1
< 0.1%
468.21 1
< 0.1%
465.76 1
< 0.1%

24H
Real number (ℝ)

Distinct2173
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.85441
Minimum53.41
Maximum481.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.0 KiB
2023-12-12T20:18:56.106241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.41
5-th percentile80.144
Q1120.685
median149.23
Q3183.0625
95-th percentile283.226
Maximum481.13
Range427.72
Interquartile range (IQR)62.3775

Descriptive statistics

Standard deviation65.885846
Coefficient of variation (CV)0.40706859
Kurtosis3.1221971
Mean161.85441
Median Absolute Deviation (MAD)30.945
Skewness1.4272459
Sum383918.66
Variance4340.9447
MonotonicityNot monotonic
2023-12-12T20:18:56.335941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250.88 5
 
0.2%
177.33 4
 
0.2%
152.23 4
 
0.2%
138.78 4
 
0.2%
171.84 4
 
0.2%
102.15 3
 
0.1%
123.55 3
 
0.1%
143.18 3
 
0.1%
145.62 3
 
0.1%
168.22 3
 
0.1%
Other values (2163) 2336
98.5%
ValueCountFrequency (%)
53.41 1
< 0.1%
53.6 1
< 0.1%
53.8 1
< 0.1%
53.84 1
< 0.1%
54.24 1
< 0.1%
54.6 1
< 0.1%
54.72 1
< 0.1%
54.75 1
< 0.1%
54.76 1
< 0.1%
54.78 1
< 0.1%
ValueCountFrequency (%)
481.13 1
< 0.1%
480.08 1
< 0.1%
474.86 1
< 0.1%
461.05 1
< 0.1%
458.23 1
< 0.1%
456.33 1
< 0.1%
451.14 1
< 0.1%
444.95 1
< 0.1%
442.02 1
< 0.1%
440.26 1
< 0.1%

Sample

일자요일최소최대산출평균가중평균01H02H03H04H05H06H07H08H09H10H11H12H13H14H15H16H17H18H19H20H21H22H23H24H
02017-01-01일102.15105.87103.0103.01102.15104.02102.15102.15102.15102.15105.24105.64103.51102.15102.15102.15102.15102.15104.66102.15105.87103.51103.51103.39102.56102.15102.15102.15
12017-01-02월95.83142.69104.08104.23102.15102.15102.35102.15102.15102.15102.15102.15102.15104.08103.46142.69102.35102.15102.15102.15102.15106.42102.15102.86105.11102.4595.83102.45
22017-01-03화85.17109.88101.45101.69101.98101.98101.9885.1796.45101.98101.98101.98106.25105.04101.9899.2296.4599.22101.4196.45101.98104.75109.88107.52104.35101.0103.54102.33
32017-01-04수93.44110.57103.83104.0797.3697.36100.1393.4498.69100.94100.13105.41105.41105.41105.41105.41105.41105.41105.41110.57105.67108.43105.67105.41105.67105.41105.41108.43
42017-01-05목84.55108.23100.97101.22102.18102.18100.3384.5598.95103.39100.33100.33105.46102.12100.3397.5694.8101.3794.897.56100.33105.87108.23106.79105.46103.45103.1103.73
52017-01-06금90.44108.2104.13104.28104.22102.0997.94104.5190.44100.3108.2104.7104.7104.7104.7104.7104.4104.7104.7104.7104.7106.76106.36107.16104.7104.7107.57107.57
62017-01-07토101.37107.8103.35103.42102.49107.8102.49101.75101.37102.49102.49105.61102.49102.49104.43102.49101.62102.49102.49102.49102.49104.63106.65106.65104.92102.61102.49102.49
72017-01-08일102.15106.05102.9102.91102.15102.15102.88102.15102.15106.05102.15102.15102.15105.82102.15102.15102.15102.15102.15106.05102.15102.15104.61105.42102.15102.15102.15102.15
82017-01-09월102.21132.07113.3114.03102.21103.52102.21102.21102.21102.21102.21102.21123.74124.26123.22132.07102.21125.38126.05125.38132.07123.74127.76125.38102.21102.21102.21102.21
92017-01-10화101.5139.43106.1106.55102.24101.5102.24102.24102.24102.24102.24102.24104.06102.24102.24102.24102.24102.24102.24102.24105.79102.24139.43138.77102.73106.83106.83106.83
일자요일최소최대산출평균가중평균01H02H03H04H05H06H07H08H09H10H11H12H13H14H15H16H17H18H19H20H21H22H23H24H
23622023-06-21수126.81174.77153.85155.66159.02126.81126.81126.81126.81126.81126.81148.11154.77163.25160.81163.25163.25164.65164.19164.19165.14174.77174.77174.77174.7154.41154.17153.38
23632023-06-22목123.76172.77145.23146.78129.37128.61123.76123.76123.76123.76123.76127.96148.28155.5155.84155.83155.83169.58162.45172.77155.83155.83155.84155.84155.84152.2137.47135.8
23642023-06-23금121.19169.19146.93148.6128.61127.37127.35121.19121.19122.18127.35127.35155.67155.87155.86155.86155.73155.86163.21159.06169.19157.94157.94157.95155.92155.93155.93155.92
23652023-06-24토119.8168.56146.83148.44158.89130.63126.46122.55119.8126.46127.26126.76153.96155.58155.57157.21157.19160.46160.56160.56160.46154.87168.56157.17157.17153.85147.03124.94
23662023-06-25일112.52164.69140.01142.06126.13127.08119.63114.86114.86114.86114.86112.52126.28127.7149.98149.46156.06156.06156.05156.06155.96155.83155.95164.68164.69155.76148.79136.09
23672023-06-26월122.24169.67149.04151.38126.52122.36122.36122.36122.24122.36122.36126.96156.74164.79164.79169.58156.78169.67165.99169.58165.05163.85156.77168.14154.87154.12154.57154.12
23682023-06-27화123.39181.69152.44154.82159.26123.39123.39123.39123.39123.39123.39126.04154.1154.59159.75171.51160.88169.17170.0168.46160.78180.57181.69181.69181.69154.17154.06129.88
23692023-06-28수127.22202.98157.56159.96202.98127.45127.45127.45127.45127.45127.22151.27150.95154.98156.97170.2157.03170.76175.1174.9176.1177.68178.28178.28178.28154.98154.66153.63
23702023-06-29목122.72164.47149.87151.91140.04126.29126.29122.72122.72126.29126.29156.75153.24156.78164.1164.1163.5163.5164.47163.5163.5160.11158.51158.06154.4153.94153.94153.95
23712023-06-30금118.72171.09148.08150.7153.4118.97118.97118.92118.72118.98118.98150.67154.33161.11162.06163.0163.12163.68171.09161.23161.33160.16156.8156.8156.8154.33154.18136.22