Overview

Dataset statistics

Number of variables33
Number of observations730
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory210.4 KiB
Average record size in memory295.2 B

Variable types

DateTime1
Categorical8
Numeric24

Dataset

Description한국남동발전 삼천포 태양광 발전 시간대별 발전량 현황입니다. 삼천포 1호기, 2호기 태양광 발전의 시간에 따른 발전량 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15050344/fileData.do

Alerts

구분 has constant value ""Constant
최소 has constant value ""Constant
02 has constant value ""Constant
05 has constant value ""Constant
01 is highly imbalanced (98.5%)Imbalance
03 is highly imbalanced (98.1%)Imbalance
04 is highly imbalanced (98.5%)Imbalance
총량 has unique valuesUnique
06 has 634 (86.8%) zerosZeros
07 has 339 (46.4%) zerosZeros
08 has 24 (3.3%) zerosZeros
18 has 55 (7.5%) zerosZeros
19 has 129 (17.7%) zerosZeros
20 has 157 (21.5%) zerosZeros
21 has 144 (19.7%) zerosZeros
22 has 262 (35.9%) zerosZeros
23 has 634 (86.8%) zerosZeros
24 has 694 (95.1%) zerosZeros

Reproduction

Analysis started2023-12-12 19:55:34.573176
Analysis finished2023-12-12 19:55:35.074125
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct365
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T04:55:35.180130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:55:35.365890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1
365 
2
365 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 365
50.0%
2 365
50.0%

Length

2023-12-13T04:55:35.576710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:35.732426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 365
50.0%
2 365
50.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
발전량
730 

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 730
100.0%

Length

2023-12-13T04:55:36.201456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:36.346619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전량 730
100.0%

총량
Real number (ℝ)

UNIQUE 

Distinct730
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21195.585
Minimum767.479
Maximum43326.176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:36.507685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum767.479
5-th percentile4815.563
Q114181.802
median20025.885
Q329135.051
95-th percentile38702.692
Maximum43326.176
Range42558.697
Interquartile range (IQR)14953.248

Descriptive statistics

Standard deviation10087.451
Coefficient of variation (CV)0.47592229
Kurtosis-0.7351405
Mean21195.585
Median Absolute Deviation (MAD)7137.323
Skewness0.15253163
Sum15472777
Variance1.0175668 × 108
MonotonicityNot monotonic
2023-12-13T04:55:36.691300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17788.054 1
 
0.1%
17697.699 1
 
0.1%
1903.77 1
 
0.1%
3261.011 1
 
0.1%
5795.395 1
 
0.1%
10281.274 1
 
0.1%
5304.373 1
 
0.1%
8788.982 1
 
0.1%
1165.64 1
 
0.1%
2152.251 1
 
0.1%
Other values (720) 720
98.6%
ValueCountFrequency (%)
767.479 1
0.1%
1165.64 1
0.1%
1414.518 1
0.1%
1482.473 1
0.1%
1644.125 1
0.1%
1903.77 1
0.1%
2122.469 1
0.1%
2152.251 1
0.1%
2176.872 1
0.1%
2184.304 1
0.1%
ValueCountFrequency (%)
43326.176 1
0.1%
42720.026 1
0.1%
42707.594 1
0.1%
42545.57 1
0.1%
42489.743 1
0.1%
42394.653 1
0.1%
42303.308 1
0.1%
42233.144 1
0.1%
42129.413 1
0.1%
42125.926 1
0.1%

평균
Real number (ℝ)

Distinct586
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean883.15342
Minimum32
Maximum1805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:36.833845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile200.7
Q1591.25
median834.5
Q31213.5
95-th percentile1612.65
Maximum1805
Range1773
Interquartile range (IQR)622.25

Descriptive statistics

Standard deviation420.31079
Coefficient of variation (CV)0.47592046
Kurtosis-0.73535095
Mean883.15342
Median Absolute Deviation (MAD)297.5
Skewness0.15246199
Sum644702
Variance176661.16
MonotonicityNot monotonic
2023-12-13T04:55:36.995230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
955 4
 
0.5%
785 4
 
0.5%
699 4
 
0.5%
783 4
 
0.5%
960 3
 
0.4%
613 3
 
0.4%
816 3
 
0.4%
1236 3
 
0.4%
1026 3
 
0.4%
592 3
 
0.4%
Other values (576) 696
95.3%
ValueCountFrequency (%)
32 1
0.1%
49 1
0.1%
59 1
0.1%
62 1
0.1%
69 1
0.1%
79 1
0.1%
88 1
0.1%
90 1
0.1%
91 2
0.3%
99 1
0.1%
ValueCountFrequency (%)
1805 1
0.1%
1780 1
0.1%
1779 1
0.1%
1773 1
0.1%
1770 1
0.1%
1766 1
0.1%
1763 1
0.1%
1760 1
0.1%
1755 2
0.3%
1748 1
0.1%

최대
Real number (ℝ)

Distinct668
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3510.3407
Minimum151.168
Maximum6040.779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:37.164443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151.168
5-th percentile2388.5558
Q12538.1258
median3708.3885
Q34303.0145
95-th percentile5352.2077
Maximum6040.779
Range5889.611
Interquartile range (IQR)1764.8888

Descriptive statistics

Standard deviation1138.7688
Coefficient of variation (CV)0.32440408
Kurtosis-0.13009195
Mean3510.3407
Median Absolute Deviation (MAD)1017.885
Skewness0.094551345
Sum2562548.7
Variance1296794.4
MonotonicityNot monotonic
2023-12-13T04:55:37.325553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2512.974 8
 
1.1%
6031.137 7
 
1.0%
2520.205 7
 
1.0%
3818.274 5
 
0.7%
3991.832 5
 
0.7%
3973.753 4
 
0.5%
6021.495 4
 
0.5%
2516.589 4
 
0.5%
6026.316 4
 
0.5%
2509.358 3
 
0.4%
Other values (658) 679
93.0%
ValueCountFrequency (%)
151.168 1
0.1%
310.971 1
0.1%
382.96 1
0.1%
389.145 1
0.1%
412.2 1
0.1%
460.51 1
0.1%
553.216 1
0.1%
591.497 1
0.1%
594.157 1
0.1%
612.914 1
0.1%
ValueCountFrequency (%)
6040.779 2
 
0.3%
6035.958 3
0.4%
6031.137 7
1.0%
6026.316 4
0.5%
6021.495 4
0.5%
6016.674 2
 
0.3%
6011.853 1
 
0.1%
6002.211 1
 
0.1%
5977.358 1
 
0.1%
5965.623 1
 
0.1%

최소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
730 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 730
100.0%

Length

2023-12-13T04:55:37.477333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:37.580938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 730
100.0%

최대(시간별)
Real number (ℝ)

Distinct668
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3510.3361
Minimum151.16
Maximum6040.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:37.711871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151.16
5-th percentile2388.552
Q12538.1225
median3708.385
Q34303.0125
95-th percentile5352.2045
Maximum6040.77
Range5889.61
Interquartile range (IQR)1764.89

Descriptive statistics

Standard deviation1138.7687
Coefficient of variation (CV)0.32440447
Kurtosis-0.13009366
Mean3510.3361
Median Absolute Deviation (MAD)1017.89
Skewness0.094550785
Sum2562545.4
Variance1296794.3
MonotonicityNot monotonic
2023-12-13T04:55:37.844752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2512.97 8
 
1.1%
6031.13 7
 
1.0%
2520.2 7
 
1.0%
3818.27 5
 
0.7%
3991.83 5
 
0.7%
3973.75 4
 
0.5%
6021.49 4
 
0.5%
2516.58 4
 
0.5%
6026.31 4
 
0.5%
2509.35 3
 
0.4%
Other values (658) 679
93.0%
ValueCountFrequency (%)
151.16 1
0.1%
310.97 1
0.1%
382.96 1
0.1%
389.14 1
0.1%
412.2 1
0.1%
460.51 1
0.1%
553.21 1
0.1%
591.49 1
0.1%
594.15 1
0.1%
612.91 1
0.1%
ValueCountFrequency (%)
6040.77 2
 
0.3%
6035.95 3
0.4%
6031.13 7
1.0%
6026.31 4
0.5%
6021.49 4
0.5%
6016.67 2
 
0.3%
6011.85 1
 
0.1%
6002.21 1
 
0.1%
5977.35 1
 
0.1%
5965.62 1
 
0.1%

최소(시간별)
Real number (ℝ)

Distinct621
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.877715
Minimum0.01
Maximum529.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:37.983580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.5018
Q14.82
median14.463
Q351.2575
95-th percentile173.0505
Maximum529.99
Range529.98
Interquartile range (IQR)46.4375

Descriptive statistics

Standard deviation59.850085
Coefficient of variation (CV)1.464125
Kurtosis9.8805952
Mean40.877715
Median Absolute Deviation (MAD)12.734
Skewness2.6437897
Sum29840.732
Variance3582.0326
MonotonicityNot monotonic
2023-12-13T04:55:38.131835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.82 16
 
2.2%
3.61 11
 
1.5%
9.64 8
 
1.1%
4.821 8
 
1.1%
7.23 7
 
1.0%
9.642 5
 
0.7%
10.84 5
 
0.7%
3.616 4
 
0.5%
0.05 4
 
0.5%
6.14 3
 
0.4%
Other values (611) 659
90.3%
ValueCountFrequency (%)
0.01 1
 
0.1%
0.02 3
0.4%
0.03 2
0.3%
0.032 1
 
0.1%
0.04 2
0.3%
0.05 4
0.5%
0.056 1
 
0.1%
0.06 1
 
0.1%
0.07 1
 
0.1%
0.08 1
 
0.1%
ValueCountFrequency (%)
529.99 1
0.1%
331.368 1
0.1%
329.905 1
0.1%
295.31 1
0.1%
290.49 1
0.1%
286.41 1
0.1%
269.97 1
0.1%
264.77 1
0.1%
263.21 1
0.1%
257.83 1
0.1%

01
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0.0
729 
528.192
 
1

Length

Max length7
Median length3
Mean length3.0054795
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 729
99.9%
528.192 1
 
0.1%

Length

2023-12-13T04:55:38.288142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:38.406848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 729
99.9%
528.192 1
 
0.1%

02
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
730 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 730
100.0%

Length

2023-12-13T04:55:38.517643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:38.613354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 730
100.0%

03
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0.0
728 
166.824
 
1
789.488
 
1

Length

Max length7
Median length3
Mean length3.0109589
Min length3

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 728
99.7%
166.824 1
 
0.1%
789.488 1
 
0.1%

Length

2023-12-13T04:55:38.733828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:38.861589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 728
99.7%
166.824 1
 
0.1%
789.488 1
 
0.1%

04
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0.0
729 
279.16
 
1

Length

Max length6
Median length3
Mean length3.0041096
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 729
99.9%
279.16 1
 
0.1%

Length

2023-12-13T04:55:38.966051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:39.055040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 729
99.9%
279.16 1
 
0.1%

05
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
730 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 730
100.0%

Length

2023-12-13T04:55:39.139631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:55:39.227759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 730
100.0%

06
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.095226
Minimum0
Maximum50.063
Zeros634
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:39.334585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.60385
Maximum50.063
Range50.063
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0216752
Coefficient of variation (CV)3.6720047
Kurtosis42.148859
Mean1.095226
Median Absolute Deviation (MAD)0
Skewness5.5109585
Sum799.515
Variance16.173871
MonotonicityNot monotonic
2023-12-13T04:55:39.482051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 634
86.8%
1.176 2
 
0.3%
7.56 1
 
0.1%
13.763 1
 
0.1%
7.741 1
 
0.1%
5.905 1
 
0.1%
2.215 1
 
0.1%
3.976 1
 
0.1%
17.302 1
 
0.1%
7.786 1
 
0.1%
Other values (86) 86
 
11.8%
ValueCountFrequency (%)
0.0 634
86.8%
0.016 1
 
0.1%
0.028 1
 
0.1%
0.056 1
 
0.1%
0.112 1
 
0.1%
0.181 1
 
0.1%
0.23 1
 
0.1%
0.305 1
 
0.1%
0.389 1
 
0.1%
0.392 1
 
0.1%
ValueCountFrequency (%)
50.063 1
0.1%
28.408 1
0.1%
27.307 1
0.1%
24.364 1
0.1%
24.065 1
0.1%
20.685 1
0.1%
20.635 1
0.1%
19.377 1
0.1%
18.935 1
0.1%
18.262 1
0.1%

07
Real number (ℝ)

ZEROS 

Distinct370
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.839122
Minimum0
Maximum546.442
Zeros339
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:39.666347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.616
Q385.851
95-th percentile285.4073
Maximum546.442
Range546.442
Interquartile range (IQR)85.851

Descriptive statistics

Standard deviation98.890057
Coefficient of variation (CV)1.6525987
Kurtosis3.3761538
Mean59.839122
Median Absolute Deviation (MAD)3.616
Skewness1.9400413
Sum43682.559
Variance9779.2434
MonotonicityNot monotonic
2023-12-13T04:55:39.787145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 339
46.4%
3.616 5
 
0.7%
9.642 4
 
0.5%
14.463 3
 
0.4%
7.232 3
 
0.4%
4.821 3
 
0.4%
6.144 3
 
0.4%
0.032 2
 
0.3%
75.932 2
 
0.3%
0.056 2
 
0.3%
Other values (360) 364
49.9%
ValueCountFrequency (%)
0.0 339
46.4%
0.024 2
 
0.3%
0.032 2
 
0.3%
0.033 1
 
0.1%
0.056 2
 
0.3%
0.072 1
 
0.1%
0.096 1
 
0.1%
0.444 1
 
0.1%
0.609 1
 
0.1%
0.749 1
 
0.1%
ValueCountFrequency (%)
546.442 1
0.1%
508.565 1
0.1%
455.639 1
0.1%
418.209 1
0.1%
417.747 1
0.1%
408.751 1
0.1%
400.377 1
0.1%
391.51 1
0.1%
388.528 1
0.1%
387.582 1
0.1%

08
Real number (ℝ)

ZEROS 

Distinct682
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean336.29712
Minimum0
Maximum1465.264
Zeros24
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:39.949915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0668
Q131.2055
median195.2275
Q3539.8285
95-th percentile1169.5861
Maximum1465.264
Range1465.264
Interquartile range (IQR)508.623

Descriptive statistics

Standard deviation371.75367
Coefficient of variation (CV)1.1054322
Kurtosis0.63988011
Mean336.29712
Median Absolute Deviation (MAD)184.9615
Skewness1.2272187
Sum245496.9
Variance138200.79
MonotonicityNot monotonic
2023-12-13T04:55:40.158016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
3.3%
9.642 7
 
1.0%
7.232 6
 
0.8%
3.616 4
 
0.5%
303.726 3
 
0.4%
4.821 3
 
0.4%
11.34 2
 
0.3%
269.979 2
 
0.3%
379.658 2
 
0.3%
25.311 2
 
0.3%
Other values (672) 675
92.5%
ValueCountFrequency (%)
0.0 24
3.3%
0.313 1
 
0.1%
0.527 1
 
0.1%
0.6 1
 
0.1%
0.648 1
 
0.1%
0.72 1
 
0.1%
0.744 1
 
0.1%
0.8 1
 
0.1%
0.864 1
 
0.1%
0.871 1
 
0.1%
ValueCountFrequency (%)
1465.264 1
0.1%
1459.28 1
0.1%
1438.827 1
0.1%
1424.3 1
0.1%
1417.202 1
0.1%
1413.697 1
0.1%
1393.211 1
0.1%
1385.018 1
0.1%
1380.386 1
0.1%
1375.384 1
0.1%

09
Real number (ℝ)

Distinct712
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016.9236
Minimum0
Maximum3015.746
Zeros6
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:40.357304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile164.57275
Q1303.726
median723.0575
Q31558.895
95-th percentile2644.8428
Maximum3015.746
Range3015.746
Interquartile range (IQR)1255.169

Descriptive statistics

Standard deviation815.56902
Coefficient of variation (CV)0.80199638
Kurtosis-0.56719017
Mean1016.9236
Median Absolute Deviation (MAD)499.354
Skewness0.76719215
Sum742354.2
Variance665152.82
MonotonicityNot monotonic
2023-12-13T04:55:40.521529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
0.8%
303.726 6
 
0.8%
202.484 3
 
0.4%
289.263 3
 
0.4%
278.416 2
 
0.3%
245.874 2
 
0.3%
308.547 2
 
0.3%
323.011 2
 
0.3%
278.049 1
 
0.1%
1744.944 1
 
0.1%
Other values (702) 702
96.2%
ValueCountFrequency (%)
0.0 6
0.8%
15.362 1
 
0.1%
17.138 1
 
0.1%
18.608 1
 
0.1%
21.695 1
 
0.1%
27.31 1
 
0.1%
32.542 1
 
0.1%
35.908 1
 
0.1%
38.988 1
 
0.1%
39.774 1
 
0.1%
ValueCountFrequency (%)
3015.746 1
0.1%
3014.128 1
0.1%
3008.381 1
0.1%
3005.857 1
0.1%
2954.862 1
0.1%
2947.13 1
0.1%
2900.323 1
0.1%
2872.688 1
0.1%
2867.172 1
0.1%
2864.888 1
0.1%

10
Real number (ℝ)

Distinct725
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1890.1641
Minimum0
Maximum4526.205
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:40.726592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile202.484
Q1853.0865
median1915.718
Q32530.5467
95-th percentile4002.7942
Maximum4526.205
Range4526.205
Interquartile range (IQR)1677.4603

Descriptive statistics

Standard deviation1190.9435
Coefficient of variation (CV)0.63007409
Kurtosis-0.90225735
Mean1890.1641
Median Absolute Deviation (MAD)897.1165
Skewness0.24824166
Sum1379819.8
Variance1418346.3
MonotonicityNot monotonic
2023-12-13T04:55:41.260812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202.484 3
 
0.4%
303.726 2
 
0.3%
1562.021 2
 
0.3%
298.905 2
 
0.3%
920.897 1
 
0.1%
487.425 1
 
0.1%
805.1 1
 
0.1%
203.603 1
 
0.1%
358.894 1
 
0.1%
76.647 1
 
0.1%
Other values (715) 715
97.9%
ValueCountFrequency (%)
0.0 1
0.1%
4.821 1
0.1%
36.158 1
0.1%
58.831 1
0.1%
60.287 1
0.1%
60.693 1
0.1%
70.616 1
0.1%
72.316 1
0.1%
75.932 1
0.1%
76.647 1
0.1%
ValueCountFrequency (%)
4526.205 1
0.1%
4389.636 1
0.1%
4359.772 1
0.1%
4321.076 1
0.1%
4235.09 1
0.1%
4233.897 1
0.1%
4218.885 1
0.1%
4213.6 1
0.1%
4203.046 1
0.1%
4187.835 1
0.1%

11
Real number (ℝ)

Distinct715
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean566.64018
Minimum0
Maximum4593.765
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:41.443264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile181.81775
Q1257.92675
median355.2005
Q3686.99175
95-th percentile1417.3055
Maximum4593.765
Range4593.765
Interquartile range (IQR)429.065

Descriptive statistics

Standard deviation563.46167
Coefficient of variation (CV)0.99439061
Kurtosis15.894273
Mean566.64018
Median Absolute Deviation (MAD)152.7165
Skewness3.465435
Sum413647.33
Variance317489.06
MonotonicityNot monotonic
2023-12-13T04:55:41.657397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303.726 5
 
0.7%
202.484 3
 
0.4%
332.653 3
 
0.4%
206.1 3
 
0.4%
255.516 2
 
0.3%
220.563 2
 
0.3%
159.095 2
 
0.3%
419.432 2
 
0.3%
0.0 2
 
0.3%
247.952 1
 
0.1%
Other values (705) 705
96.6%
ValueCountFrequency (%)
0.0 2
0.3%
38.283 1
0.1%
40.098 1
0.1%
50.621 1
0.1%
61.468 1
0.1%
74.865 1
0.1%
84.014 1
0.1%
86.779 1
0.1%
96.421 1
0.1%
105.957 1
0.1%
ValueCountFrequency (%)
4593.765 1
0.1%
4208.779 1
0.1%
4124.649 1
0.1%
3873.162 1
0.1%
3808.455 1
0.1%
3709.194 1
0.1%
3703.316 1
0.1%
3464.043 1
0.1%
3304.9 1
0.1%
3005.606 1
0.1%

12
Real number (ℝ)

Distinct713
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.90308
Minimum0
Maximum5188.839
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:41.847400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile191.25745
Q1289.46975
median533.255
Q3992.909
95-th percentile1706.0522
Maximum5188.839
Range5188.839
Interquartile range (IQR)703.43925

Descriptive statistics

Standard deviation638.04221
Coefficient of variation (CV)0.87056834
Kurtosis9.6562385
Mean732.90308
Median Absolute Deviation (MAD)272.496
Skewness2.4539442
Sum535019.25
Variance407097.86
MonotonicityNot monotonic
2023-12-13T04:55:42.029992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202.484 7
 
1.0%
303.726 4
 
0.5%
298.905 3
 
0.4%
308.547 3
 
0.4%
296.495 2
 
0.3%
0.0 2
 
0.3%
404.968 2
 
0.3%
361.579 2
 
0.3%
971.721 1
 
0.1%
707.355 1
 
0.1%
Other values (703) 703
96.3%
ValueCountFrequency (%)
0.0 2
0.3%
18.179 1
0.1%
36.358 1
0.1%
61.468 1
0.1%
81.842 1
0.1%
114.235 1
0.1%
130.168 1
0.1%
134.989 1
0.1%
142.699 1
0.1%
145.05 1
0.1%
ValueCountFrequency (%)
5188.839 1
0.1%
4695.242 1
0.1%
4435.368 1
0.1%
4340.895 1
0.1%
3814.85 1
0.1%
3478.293 1
0.1%
3466.701 1
0.1%
3300.927 1
0.1%
3254.317 1
0.1%
3053.101 1
0.1%

13
Real number (ℝ)

Distinct717
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1027.734
Minimum0
Maximum5172.492
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:42.227879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile190.84705
Q1308.596
median720.341
Q31473.1472
95-th percentile2974.217
Maximum5172.492
Range5172.492
Interquartile range (IQR)1164.5512

Descriptive statistics

Standard deviation914.50987
Coefficient of variation (CV)0.88983128
Kurtosis2.4278008
Mean1027.734
Median Absolute Deviation (MAD)435.618
Skewness1.559007
Sum750245.83
Variance836328.3
MonotonicityNot monotonic
2023-12-13T04:55:42.482815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303.726 5
 
0.7%
202.484 3
 
0.4%
209.716 3
 
0.4%
289.263 2
 
0.3%
1508.989 2
 
0.3%
253.105 2
 
0.3%
308.547 2
 
0.3%
0.0 2
 
0.3%
288.001 1
 
0.1%
304.502 1
 
0.1%
Other values (707) 707
96.8%
ValueCountFrequency (%)
0.0 2
0.3%
46.546 1
0.1%
48.714 1
0.1%
77.255 1
0.1%
88.693 1
0.1%
89.214 1
0.1%
95.518 1
0.1%
101.739 1
0.1%
124.911 1
0.1%
130.168 1
0.1%
ValueCountFrequency (%)
5172.492 1
0.1%
4642.674 1
0.1%
4599.31 1
0.1%
4394.121 1
0.1%
4366.677 1
0.1%
4349.913 1
0.1%
4254.221 1
0.1%
4242.211 1
0.1%
4103.875 1
0.1%
3942.684 1
0.1%

14
Real number (ℝ)

Distinct710
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1812.8822
Minimum0
Maximum5389.937
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:42.692621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile190.91125
Q1307.02425
median1420.297
Q32948.803
95-th percentile4802.3198
Maximum5389.937
Range5389.937
Interquartile range (IQR)2641.7787

Descriptive statistics

Standard deviation1538.2074
Coefficient of variation (CV)0.84848723
Kurtosis-0.8353903
Mean1812.8822
Median Absolute Deviation (MAD)1136.0325
Skewness0.62495322
Sum1323404
Variance2366082
MonotonicityNot monotonic
2023-12-13T04:55:42.895871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303.726 6
 
0.8%
202.484 5
 
0.7%
298.905 3
 
0.4%
294.084 2
 
0.3%
216.947 2
 
0.3%
0.0 2
 
0.3%
255.516 2
 
0.3%
395.326 2
 
0.3%
882.253 2
 
0.3%
371.221 2
 
0.3%
Other values (700) 702
96.2%
ValueCountFrequency (%)
0.0 2
0.3%
77.584 1
0.1%
79.762 1
0.1%
107.614 1
0.1%
109.61 1
0.1%
119.642 1
0.1%
122.689 1
0.1%
129.935 1
0.1%
134.504 1
0.1%
144.823 1
0.1%
ValueCountFrequency (%)
5389.937 1
0.1%
5385.595 1
0.1%
5365.832 1
0.1%
5353.91 1
0.1%
5350.127 1
0.1%
5332.755 1
0.1%
5323.148 1
0.1%
5312.445 1
0.1%
5243.913 1
0.1%
5243.199 1
0.1%

15
Real number (ℝ)

Distinct699
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2264.8593
Minimum0
Maximum5463.773
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:43.079618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile191.10915
Q1379.92225
median2413.727
Q33677.3595
95-th percentile4860.5946
Maximum5463.773
Range5463.773
Interquartile range (IQR)3297.4372

Descriptive statistics

Standard deviation1622.7566
Coefficient of variation (CV)0.71649336
Kurtosis-1.2696729
Mean2264.8593
Median Absolute Deviation (MAD)1656.219
Skewness0.13723356
Sum1653347.3
Variance2633339.1
MonotonicityNot monotonic
2023-12-13T04:55:43.296510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303.726 10
 
1.4%
198.868 6
 
0.8%
202.484 5
 
0.7%
206.1 4
 
0.5%
2574.442 2
 
0.3%
2592.521 2
 
0.3%
227.795 2
 
0.3%
298.905 2
 
0.3%
4459.474 2
 
0.3%
318.189 2
 
0.3%
Other values (689) 693
94.9%
ValueCountFrequency (%)
0.0 2
0.3%
31.863 1
0.1%
58.506 1
0.1%
62.571 1
0.1%
67.266 1
0.1%
68.727 1
0.1%
86.779 1
0.1%
111.44 1
0.1%
119.526 1
0.1%
123.157 1
0.1%
ValueCountFrequency (%)
5463.773 1
0.1%
5430.374 1
0.1%
5373.482 1
0.1%
5237.55 1
0.1%
5223.939 1
0.1%
5218.388 1
0.1%
5209.599 1
0.1%
5203.252 1
0.1%
5199.036 1
0.1%
5155.1 1
0.1%

16
Real number (ℝ)

Distinct692
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1833.6043
Minimum0
Maximum4350.27
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:43.540634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile178.8083
Q1657.64
median1919.0385
Q32688.9417
95-th percentile3870.6115
Maximum4350.27
Range4350.27
Interquartile range (IQR)2031.3018

Descriptive statistics

Standard deviation1213.1915
Coefficient of variation (CV)0.66164306
Kurtosis-1.0595356
Mean1833.6043
Median Absolute Deviation (MAD)956.719
Skewness0.14907887
Sum1338531.1
Variance1471833.7
MonotonicityNot monotonic
2023-12-13T04:55:43.738378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202.484 10
 
1.4%
303.726 7
 
1.0%
0.0 4
 
0.5%
1290.837 3
 
0.4%
209.716 3
 
0.4%
2632.295 2
 
0.3%
1392.079 2
 
0.3%
1316.147 2
 
0.3%
2227.326 2
 
0.3%
2024.842 2
 
0.3%
Other values (682) 693
94.9%
ValueCountFrequency (%)
0.0 4
0.5%
9.961 1
 
0.1%
23.906 1
 
0.1%
57.853 1
 
0.1%
65.83 1
 
0.1%
67.568 1
 
0.1%
86.504 1
 
0.1%
87.403 1
 
0.1%
96.19 1
 
0.1%
96.381 1
 
0.1%
ValueCountFrequency (%)
4350.27 1
0.1%
4340.201 1
0.1%
4270.273 1
0.1%
4253.274 1
0.1%
4225.42 1
0.1%
4209.063 1
0.1%
4169.394 1
0.1%
4135.502 1
0.1%
4112.059 1
0.1%
4072.035 1
0.1%

17
Real number (ℝ)

Distinct694
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1457.5103
Minimum0
Maximum5982.926
Zeros4
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:43.921604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile119.92215
Q1544.803
median1153.0535
Q31950.1155
95-th percentile3975.7413
Maximum5982.926
Range5982.926
Interquartile range (IQR)1405.3125

Descriptive statistics

Standard deviation1314.0341
Coefficient of variation (CV)0.90156078
Kurtosis3.366898
Mean1457.5103
Median Absolute Deviation (MAD)642.3
Skewness1.7792485
Sum1063982.5
Variance1726685.6
MonotonicityNot monotonic
2023-12-13T04:55:44.129618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
0.5%
1120.895 3
 
0.4%
372.426 3
 
0.4%
3966.521 3
 
0.4%
795.474 3
 
0.4%
3980.984 3
 
0.4%
3959.289 3
 
0.4%
412.2 2
 
0.3%
5968.463 2
 
0.3%
639.995 2
 
0.3%
Other values (684) 702
96.2%
ValueCountFrequency (%)
0.0 4
0.5%
2.636 1
 
0.1%
2.926 1
 
0.1%
5.853 1
 
0.1%
8.739 1
 
0.1%
8.788 1
 
0.1%
14.463 1
 
0.1%
16.219 1
 
0.1%
16.654 1
 
0.1%
20.392 1
 
0.1%
ValueCountFrequency (%)
5982.926 1
0.1%
5978.105 1
0.1%
5968.463 2
0.3%
5963.642 2
0.3%
5958.821 1
0.1%
5954.0 1
0.1%
5950.782 1
0.1%
5949.179 2
0.3%
5935.539 1
0.1%
5929.895 2
0.3%

18
Real number (ℝ)

ZEROS 

Distinct605
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean721.30829
Minimum0
Maximum6040.779
Zeros55
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:44.335273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q173.503
median314.009
Q3697.9945
95-th percentile3988.216
Maximum6040.779
Range6040.779
Interquartile range (IQR)624.4915

Descriptive statistics

Standard deviation1294.7427
Coefficient of variation (CV)1.7949921
Kurtosis8.98958
Mean721.30829
Median Absolute Deviation (MAD)294.15
Skewness3.0808738
Sum526555.05
Variance1676358.6
MonotonicityNot monotonic
2023-12-13T04:55:44.525145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 55
 
7.5%
6031.137 7
 
1.0%
3991.832 5
 
0.7%
4.821 5
 
0.7%
3973.753 4
 
0.5%
6026.316 4
 
0.5%
6021.495 4
 
0.5%
3.616 4
 
0.5%
9.642 3
 
0.4%
19.284 3
 
0.4%
Other values (595) 636
87.1%
ValueCountFrequency (%)
0.0 55
7.5%
0.048 1
 
0.1%
0.049 1
 
0.1%
0.056 1
 
0.1%
0.064 1
 
0.1%
0.083 1
 
0.1%
0.168 2
 
0.3%
0.28 2
 
0.3%
0.336 1
 
0.1%
0.443 1
 
0.1%
ValueCountFrequency (%)
6040.779 2
 
0.3%
6035.958 3
0.4%
6031.137 7
1.0%
6026.316 4
0.5%
6021.495 4
0.5%
6016.674 2
 
0.3%
6011.853 1
 
0.1%
6002.211 1
 
0.1%
5977.358 1
 
0.1%
5965.623 1
 
0.1%

19
Real number (ℝ)

ZEROS 

Distinct566
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1915.1539
Minimum0
Maximum4155.852
Zeros129
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:44.720044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q158.071
median2495.1835
Q33728.6973
95-th percentile4001.8377
Maximum4155.852
Range4155.852
Interquartile range (IQR)3670.6263

Descriptive statistics

Standard deviation1578.1346
Coefficient of variation (CV)0.82402497
Kurtosis-1.6141716
Mean1915.1539
Median Absolute Deviation (MAD)1366.747
Skewness-0.061200203
Sum1398062.4
Variance2490509
MonotonicityNot monotonic
2023-12-13T04:55:44.916112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 129
 
17.7%
4.821 10
 
1.4%
3678.463 8
 
1.1%
2447.889 5
 
0.7%
2444.274 3
 
0.4%
50.621 3
 
0.4%
2451.505 3
 
0.4%
2528.256 2
 
0.3%
106.063 2
 
0.3%
3673.642 2
 
0.3%
Other values (556) 563
77.1%
ValueCountFrequency (%)
0.0 129
17.7%
0.168 1
 
0.1%
0.28 1
 
0.1%
1.176 1
 
0.1%
3.055 1
 
0.1%
3.616 2
 
0.3%
4.821 10
 
1.4%
7.232 1
 
0.1%
7.56 1
 
0.1%
7.728 1
 
0.1%
ValueCountFrequency (%)
4155.852 1
0.1%
4150.926 1
0.1%
4146.934 1
0.1%
4122.782 1
0.1%
4121.539 1
0.1%
4117.376 1
0.1%
4111.818 1
0.1%
4108.55 1
0.1%
4107.537 1
0.1%
4104.48 1
0.1%

20
Real number (ℝ)

ZEROS 

Distinct493
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2062.4024
Minimum0
Maximum3856.842
Zeros157
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:45.105855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.58875
median2505.7345
Q33766.2278
95-th percentile3814.9196
Maximum3856.842
Range3856.842
Interquartile range (IQR)3755.639

Descriptive statistics

Standard deviation1569.0377
Coefficient of variation (CV)0.76078156
Kurtosis-1.5369112
Mean2062.4024
Median Absolute Deviation (MAD)1300.5265
Skewness-0.31261633
Sum1505553.8
Variance2461879.4
MonotonicityNot monotonic
2023-12-13T04:55:45.274496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 157
 
21.5%
3852.021 10
 
1.4%
3668.821 8
 
1.1%
3654.358 8
 
1.1%
2538.284 8
 
1.1%
3664.0 7
 
1.0%
4.821 6
 
0.8%
2444.274 6
 
0.8%
10.847 6
 
0.8%
2437.042 5
 
0.7%
Other values (483) 509
69.7%
ValueCountFrequency (%)
0.0 157
21.5%
0.056 1
 
0.1%
0.336 1
 
0.1%
3.616 4
 
0.5%
3.649 1
 
0.1%
4.22 1
 
0.1%
4.727 1
 
0.1%
4.817 1
 
0.1%
4.821 6
 
0.8%
6.33 1
 
0.1%
ValueCountFrequency (%)
3856.842 2
 
0.3%
3852.021 10
1.4%
3837.558 1
 
0.1%
3834.26 1
 
0.1%
3832.737 1
 
0.1%
3830.236 1
 
0.1%
3824.846 1
 
0.1%
3822.502 1
 
0.1%
3821.11 1
 
0.1%
3818.921 1
 
0.1%

21
Real number (ℝ)

ZEROS 

Distinct520
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2221.6306
Minimum0
Maximum3852.021
Zeros144
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:45.459361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1831.57875
median2510.176
Q33756.1137
95-th percentile3813.0415
Maximum3852.021
Range3852.021
Interquartile range (IQR)2924.535

Descriptive statistics

Standard deviation1434.4576
Coefficient of variation (CV)0.64567782
Kurtosis-1.2570756
Mean2221.6306
Median Absolute Deviation (MAD)1281.3045
Skewness-0.42209469
Sum1621790.3
Variance2057668.6
MonotonicityNot monotonic
2023-12-13T04:55:45.649962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 144
 
19.7%
2520.205 12
 
1.6%
2516.589 8
 
1.1%
3750.779 8
 
1.1%
2512.974 7
 
1.0%
3837.558 6
 
0.8%
2534.668 6
 
0.8%
3827.916 5
 
0.7%
3832.737 4
 
0.5%
3842.379 4
 
0.5%
Other values (510) 526
72.1%
ValueCountFrequency (%)
0.0 144
19.7%
6.109 1
 
0.1%
63.672 1
 
0.1%
188.021 1
 
0.1%
216.947 1
 
0.1%
223.048 1
 
0.1%
227.795 1
 
0.1%
310.971 1
 
0.1%
316.855 1
 
0.1%
448.358 1
 
0.1%
ValueCountFrequency (%)
3852.021 1
 
0.1%
3847.2 4
0.5%
3842.379 4
0.5%
3837.558 6
0.8%
3832.737 4
0.5%
3827.916 5
0.7%
3823.095 2
 
0.3%
3818.274 1
 
0.1%
3817.902 1
 
0.1%
3815.986 1
 
0.1%

22
Real number (ℝ)

ZEROS 

Distinct446
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean954.50072
Minimum0
Maximum3832.737
Zeros262
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:45.824824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median736.3175
Q31330.2295
95-th percentile3762.6593
Maximum3832.737
Range3832.737
Interquartile range (IQR)1330.2295

Descriptive statistics

Standard deviation1074.9074
Coefficient of variation (CV)1.1261463
Kurtosis0.72036637
Mean954.50072
Median Absolute Deviation (MAD)736.3175
Skewness1.2179986
Sum696785.52
Variance1155425.9
MonotonicityNot monotonic
2023-12-13T04:55:46.008626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 262
35.9%
2512.974 7
 
1.0%
3818.274 6
 
0.8%
2516.589 4
 
0.5%
3803.811 3
 
0.4%
2520.205 3
 
0.4%
1464.395 2
 
0.3%
2505.742 2
 
0.3%
2502.126 2
 
0.3%
3808.632 2
 
0.3%
Other values (436) 437
59.9%
ValueCountFrequency (%)
0.0 262
35.9%
14.463 1
 
0.1%
45.634 1
 
0.1%
62.674 1
 
0.1%
170.972 1
 
0.1%
173.558 1
 
0.1%
195.253 1
 
0.1%
209.604 1
 
0.1%
223.552 1
 
0.1%
278.152 1
 
0.1%
ValueCountFrequency (%)
3832.737 1
 
0.1%
3827.916 1
 
0.1%
3818.274 6
0.8%
3813.453 2
 
0.3%
3808.632 2
 
0.3%
3803.811 3
0.4%
3797.661 1
 
0.1%
3788.75 1
 
0.1%
3788.545 1
 
0.1%
3788.44 1
 
0.1%

23
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.46728
Minimum0
Maximum3786.164
Zeros634
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:46.191606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2608.1941
Maximum3786.164
Range3786.164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation872.6155
Coefficient of variation (CV)2.792662
Kurtosis6.0569075
Mean312.46728
Median Absolute Deviation (MAD)0
Skewness2.7046884
Sum228101.12
Variance761457.81
MonotonicityNot monotonic
2023-12-13T04:55:46.692346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 634
86.8%
2911.916 2
 
0.3%
2797.086 1
 
0.1%
1735.285 1
 
0.1%
2697.627 1
 
0.1%
1658.49 1
 
0.1%
2689.06 1
 
0.1%
1655.424 1
 
0.1%
2434.01 1
 
0.1%
1591.291 1
 
0.1%
Other values (86) 86
 
11.8%
ValueCountFrequency (%)
0.0 634
86.8%
39.088 1
 
0.1%
50.621 1
 
0.1%
169.942 1
 
0.1%
187.757 1
 
0.1%
222.634 1
 
0.1%
264.319 1
 
0.1%
521.978 1
 
0.1%
1160.668 1
 
0.1%
1182.363 1
 
0.1%
ValueCountFrequency (%)
3786.164 1
0.1%
3778.916 1
0.1%
3777.541 1
0.1%
3776.661 1
0.1%
3772.168 1
0.1%
3765.851 1
0.1%
3758.103 1
0.1%
3756.356 1
0.1%
3756.085 1
0.1%
3755.504 1
0.1%

24
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2532932
Minimum0
Maximum917.504
Zeros694
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-13T04:55:46.838061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum917.504
Range917.504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.046562
Coefficient of variation (CV)7.8134915
Kurtosis339.72926
Mean5.2532932
Median Absolute Deviation (MAD)0
Skewness16.318053
Sum3834.904
Variance1684.8202
MonotonicityNot monotonic
2023-12-13T04:55:46.982539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 694
95.1%
8.848 1
 
0.1%
95.918 1
 
0.1%
15.014 1
 
0.1%
55.434 1
 
0.1%
19.594 1
 
0.1%
11.43 1
 
0.1%
3.733 1
 
0.1%
7.467 1
 
0.1%
17.696 1
 
0.1%
Other values (27) 27
 
3.7%
ValueCountFrequency (%)
0.0 694
95.1%
3.733 1
 
0.1%
7.467 1
 
0.1%
8.848 1
 
0.1%
11.43 1
 
0.1%
14.463 1
 
0.1%
14.832 1
 
0.1%
14.84 1
 
0.1%
15.014 1
 
0.1%
17.696 1
 
0.1%
ValueCountFrequency (%)
917.504 1
0.1%
226.26 1
0.1%
214.137 1
0.1%
200.23 1
0.1%
195.839 1
0.1%
184.892 1
0.1%
177.632 1
0.1%
162.482 1
0.1%
136.748 1
0.1%
124.32 1
0.1%

Sample

년월일호기구분총량평균최대최소최대(시간별)최소(시간별)010203040506070809101112131415161718192021222324
02022-01-011발전량17788.0547412574.44202574.441.080.000.00.000.00.01.08278.0491554.789253.105531.521650.8421312.5322574.4421533.095524.28992.6182548.8622516.8212510.407905.6020.00.0
12022-01-012발전량29975.41712494401.62104401.621.440.000.00.000.00.01.44215.8692420.168795.4741364.3581595.7682762.4634401.6212690.147896.71674.0943805.1393814.0173809.0581329.0850.00.0
22022-01-021발전량16291.8126792550.502550.50.6480.000.00.000.00.00.648270.851479.804176.95271.392353.9541078.2162364.3551352.013384.0492.6822550.52513.9992511.28891.1290.00.0
32022-01-022발전량27410.15211424036.30104036.30.860.000.00.000.00.00.864222.2362330.476443.391925.7881070.0382534.6214036.3012328.275669.26268.6543802.1683815.1673805.621357.2910.00.0
42022-01-031발전량17422.8027262632.67702632.672.40.000.00.000.00.02.4283.7071492.811180.232410.372540.8271335.2972632.6771581.773416.16985.1172550.5482514.1752510.455886.2420.00.0
52022-01-032발전량29399.39912254514.51504514.513.20.000.00.000.00.03.2264.7932342.527542.7671156.1781409.2132814.8164514.5152741.278721.8175.6593802.243815.4343809.131385.8390.00.0
62022-01-041발전량13738.7315722548.43102548.434.820.000.00.000.00.04.824283.3121021.086286.032188.579208.252201.4171350.4961262.505388.85492.3932548.4312515.4512509.67877.4290.00.0
72022-01-042발전량24025.4610013811.9403811.946.4320.000.00.000.00.06.432377.7491813.643595.633338.299696.526652.8693791.6372227.542671.7668.4393804.4953811.943807.941360.5560.00.0
82022-01-051발전량4032.4251682360.9602360.9626.070.000.00.000.00.00.052.014321.983198.356191.9190.753191.879189.308166.22926.075142.9682360.960.00.00.00.00.0
92022-01-052발전량6612.8812763736.70303736.760.050.000.00.000.00.00.085.67551.972287.274287.849286.13287.818284.536265.96660.0510.03736.703478.9120.00.00.00.0
년월일호기구분총량평균최대최소최대(시간별)최소(시간별)010203040506070809101112131415161718192021222324
7202022-12-271발전량17918.5527473023.73503023.733.610.000.00.000.00.03.616282.0321493.321332.653494.3492069.4593023.7352568.3771598.179444.7427.2322447.8892538.284614.6840.00.00.0
7212022-12-272발전량29938.59912475116.90705116.94.820.000.00.000.00.04.821245.8742352.674862.9681280.3293702.0745116.9074358.8892723.895756.90514.4633678.4633852.021988.3160.00.00.0
7222022-12-281발전량14173.8945912538.28402538.287.230.000.00.000.00.07.232249.4891091.968263.953296.495253.1052118.8532473.21392.079372.42610.8472451.5052538.284654.4580.00.00.0
7232022-12-282발전량23979.9169994430.54704430.549.640.000.00.000.00.09.642332.6531788.611419.432366.4867.7894430.5474194.3162386.421636.37919.2843673.6423852.0211002.7790.00.00.0
7242022-12-291발전량16783.6376992954.66502954.663.610.000.00.000.00.03.616278.4161442.7394.121424.8271276.7872954.6652545.5161374.0437.5113.6162447.8892538.284661.6890.00.00.0
7252022-12-292발전량28660.67811945029.11505029.114.820.000.00.000.00.04.821245.8742275.537766.5471132.8733026.4585029.1154358.2322487.663737.6219.6423668.8213852.0211065.4530.00.00.0
7262022-12-301발전량13669.1495702507.96802507.964.390.000.00.000.00.013.197357.623706.537278.811214.152425.5262384.4242103.181230.337363.5124.3972482.9552507.968596.530.00.00.0
7272022-12-302발전량23238.2259684019.9404019.949.7710.000.00.000.00.026.395515.7551143.918393.113529.6241831.5054019.943563.0352128.401622.5289.7713742.8533806.015905.3720.00.00.0
7282022-12-311발전량17649.7067353001.18503001.181.460.000.00.000.00.01.466279.1031404.155252.405473.812075.8543001.1852576.0261591.013455.0132.6462494.5372516.231526.2620.00.00.0
7292022-12-312발전량29648.94712355114.9805114.983.910.000.00.000.00.03.91256.1472253.582584.9391249.1353873.9445114.984383.5142723.481771.7387.0573743.6483813.121869.7510.00.00.0