Overview

Dataset statistics

Number of variables32
Number of observations3742
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory287.0 B

Variable types

DateTime1
Categorical11
Numeric20

Dataset

Description한국남부발전(주)_하동하수처리장 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043409/fileData.do

Alerts

호기 has constant value ""Constant
최소(kw) is highly imbalanced (97.6%)Imbalance
1 is highly imbalanced (97.8%)Imbalance
2 is highly imbalanced (98.2%)Imbalance
3 is highly imbalanced (98.3%)Imbalance
4 is highly imbalanced (98.3%)Imbalance
5 is highly imbalanced (97.5%)Imbalance
21 is highly imbalanced (98.5%)Imbalance
22 is highly imbalanced (97.8%)Imbalance
23 is highly imbalanced (98.0%)Imbalance
24 is highly imbalanced (97.6%)Imbalance
년월일 has unique valuesUnique
평균(kw) has 69 (1.8%) zerosZeros
최소(시간별_kw) has 718 (19.2%) zerosZeros
6 has 2883 (77.0%) zerosZeros
7 has 1444 (38.6%) zerosZeros
8 has 212 (5.7%) zerosZeros
9 has 53 (1.4%) zerosZeros
17 has 54 (1.4%) zerosZeros
18 has 224 (6.0%) zerosZeros
19 has 1546 (41.3%) zerosZeros
20 has 2899 (77.5%) zerosZeros

Reproduction

Analysis started2023-12-12 22:42:10.407912
Analysis finished2023-12-12 22:42:10.939051
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

UNIQUE 

Distinct3742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
Minimum2013-01-01 00:00:00
Maximum2023-03-31 00:00:00
2023-12-13T07:42:11.023308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:42:11.174690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
1
3742 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3742
100.0%

Length

2023-12-13T07:42:11.329821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:11.441789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3742
100.0%

총량(kw)
Real number (ℝ)

Distinct3576
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.10176
Minimum0
Maximum379.752
Zeros24
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:11.574864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.1016
Q1143.325
median224.19
Q3272.0235
95-th percentile324.4302
Maximum379.752
Range379.752
Interquartile range (IQR)128.6985

Descriptive statistics

Standard deviation89.850249
Coefficient of variation (CV)0.44022281
Kurtosis-0.60454799
Mean204.10176
Median Absolute Deviation (MAD)57.102
Skewness-0.56779686
Sum763748.77
Variance8073.0672
MonotonicityNot monotonic
2023-12-13T07:42:11.721166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
0.6%
207.486 3
 
0.1%
153.03 2
 
0.1%
283.734 2
 
0.1%
329.442 2
 
0.1%
210.45 2
 
0.1%
257.256 2
 
0.1%
264.186 2
 
0.1%
201.186 2
 
0.1%
262.704 2
 
0.1%
Other values (3566) 3699
98.9%
ValueCountFrequency (%)
0.0 24
0.6%
0.054 1
 
< 0.1%
0.138 1
 
< 0.1%
0.162 1
 
< 0.1%
0.198 1
 
< 0.1%
0.204 2
 
0.1%
0.222 1
 
< 0.1%
0.228 1
 
< 0.1%
0.234 1
 
< 0.1%
0.252 1
 
< 0.1%
ValueCountFrequency (%)
379.752 1
< 0.1%
377.658 1
< 0.1%
377.028 1
< 0.1%
369.738 1
< 0.1%
369.462 1
< 0.1%
369.066 1
< 0.1%
368.586 1
< 0.1%
367.446 1
< 0.1%
366.408 1
< 0.1%
364.272 1
< 0.1%

평균(kw)
Real number (ℝ)

ZEROS 

Distinct961
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4975459
Minimum0
Maximum16
Zeros69
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:11.851936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9.0025
Q311
95-th percentile14
Maximum16
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.7592564
Coefficient of variation (CV)0.44239319
Kurtosis-0.59696549
Mean8.4975459
Median Absolute Deviation (MAD)2.68425
Skewness-0.56198763
Sum31797.817
Variance14.132009
MonotonicityNot monotonic
2023-12-13T07:42:11.999195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 328
 
8.8%
11.0 314
 
8.4%
12.0 295
 
7.9%
13.0 275
 
7.3%
9.0 249
 
6.7%
8.0 195
 
5.2%
7.0 163
 
4.4%
14.0 138
 
3.7%
1.0 123
 
3.3%
5.0 120
 
3.2%
Other values (951) 1542
41.2%
ValueCountFrequency (%)
0.0 69
1.8%
0.27775 1
 
< 0.1%
0.424 1
 
< 0.1%
0.50275 1
 
< 0.1%
0.603 1
 
< 0.1%
0.77 1
 
< 0.1%
0.779 1
 
< 0.1%
0.851 1
 
< 0.1%
0.881 1
 
< 0.1%
0.886 1
 
< 0.1%
ValueCountFrequency (%)
16.0 3
 
0.1%
15.073 1
 
< 0.1%
15.049 1
 
< 0.1%
15.0215 1
 
< 0.1%
15.0 40
1.1%
14.389 1
 
< 0.1%
14.13225 1
 
< 0.1%
14.05875 1
 
< 0.1%
14.0155 1
 
< 0.1%
14.00325 1
 
< 0.1%

최대(kw)
Real number (ℝ)

Distinct2694
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.712569
Minimum0
Maximum52.788
Zeros24
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:12.485389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6369
Q127.723
median36.369
Q341.289
95-th percentile46.5111
Maximum52.788
Range52.788
Interquartile range (IQR)13.566

Descriptive statistics

Standard deviation12.009901
Coefficient of variation (CV)0.36713414
Kurtosis0.25004049
Mean32.712569
Median Absolute Deviation (MAD)5.754
Skewness-1.057711
Sum122410.43
Variance144.23772
MonotonicityNot monotonic
2023-12-13T07:42:12.640137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
0.6%
0.012 8
 
0.2%
39.528 7
 
0.2%
41.778 6
 
0.2%
39.372 5
 
0.1%
32.334 5
 
0.1%
40.386 5
 
0.1%
33.852 5
 
0.1%
32.016 5
 
0.1%
41.904 5
 
0.1%
Other values (2684) 3667
98.0%
ValueCountFrequency (%)
0.0 24
0.6%
0.006 1
 
< 0.1%
0.012 8
 
0.2%
0.018 3
 
0.1%
0.33 1
 
< 0.1%
0.456 1
 
< 0.1%
0.654 1
 
< 0.1%
0.876 1
 
< 0.1%
0.924 1
 
< 0.1%
1.098 1
 
< 0.1%
ValueCountFrequency (%)
52.788 1
< 0.1%
52.482 1
< 0.1%
52.38 1
< 0.1%
52.296 1
< 0.1%
52.254 1
< 0.1%
52.074 1
< 0.1%
51.966 1
< 0.1%
51.918 1
< 0.1%
51.906 1
< 0.1%
51.834 1
< 0.1%

최소(kw)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3733 
0.006
 
9

Length

Max length5
Median length3
Mean length3.0048103
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3733
99.8%
0.006 9
 
0.2%

Length

2023-12-13T07:42:12.813406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:12.921145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3733
99.8%
0.006 9
 
0.2%

최대(시간별_kw)
Real number (ℝ)

Distinct2867
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.711219
Minimum0
Maximum52.78
Zeros24
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:13.043090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.631
Q127.723
median36.368
Q341.289
95-th percentile46.5111
Maximum52.78
Range52.78
Interquartile range (IQR)13.566

Descriptive statistics

Standard deviation12.009863
Coefficient of variation (CV)0.36714814
Kurtosis0.24997496
Mean32.711219
Median Absolute Deviation (MAD)5.752
Skewness-1.0577026
Sum122405.38
Variance144.23681
MonotonicityNot monotonic
2023-12-13T07:42:13.183908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
0.6%
0.012 8
 
0.2%
39.528 5
 
0.1%
32.01 5
 
0.1%
35.67 5
 
0.1%
42.12 5
 
0.1%
40.386 5
 
0.1%
41.79 5
 
0.1%
43.53 5
 
0.1%
43.212 4
 
0.1%
Other values (2857) 3671
98.1%
ValueCountFrequency (%)
0.0 24
0.6%
0.006 1
 
< 0.1%
0.012 8
 
0.2%
0.018 3
 
0.1%
0.33 1
 
< 0.1%
0.45 1
 
< 0.1%
0.65 1
 
< 0.1%
0.876 1
 
< 0.1%
0.924 1
 
< 0.1%
1.098 1
 
< 0.1%
ValueCountFrequency (%)
52.78 1
< 0.1%
52.482 1
< 0.1%
52.38 1
< 0.1%
52.29 1
< 0.1%
52.254 1
< 0.1%
52.074 1
< 0.1%
51.966 1
< 0.1%
51.918 1
< 0.1%
51.906 1
< 0.1%
51.83 1
< 0.1%

최소(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct317
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17512614
Minimum0
Maximum6.666
Zeros718
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:13.340051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.006
median0.03
Q30.168
95-th percentile0.9057
Maximum6.666
Range6.666
Interquartile range (IQR)0.162

Descriptive statistics

Standard deviation0.36461072
Coefficient of variation (CV)2.0819892
Kurtosis43.678256
Mean0.17512614
Median Absolute Deviation (MAD)0.03
Skewness4.8191608
Sum655.322
Variance0.13294098
MonotonicityNot monotonic
2023-12-13T07:42:13.483483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 718
19.2%
0.006 516
 
13.8%
0.03 150
 
4.0%
0.012 130
 
3.5%
0.018 115
 
3.1%
0.01 109
 
2.9%
0.024 90
 
2.4%
0.06 89
 
2.4%
0.036 66
 
1.8%
0.04 56
 
1.5%
Other values (307) 1703
45.5%
ValueCountFrequency (%)
0.0 718
19.2%
0.006 516
13.8%
0.01 109
 
2.9%
0.012 130
 
3.5%
0.018 115
 
3.1%
0.02 44
 
1.2%
0.024 90
 
2.4%
0.03 150
 
4.0%
0.036 66
 
1.8%
0.04 56
 
1.5%
ValueCountFrequency (%)
6.666 1
< 0.1%
4.65 1
< 0.1%
3.15 1
< 0.1%
3.066 1
< 0.1%
2.88 1
< 0.1%
2.676 1
< 0.1%
2.658 1
< 0.1%
2.622 1
< 0.1%
2.532 1
< 0.1%
2.496 1
< 0.1%

1
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3730 
0.006
 
7
0.012
 
5

Length

Max length5
Median length3
Mean length3.0064137
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3730
99.7%
0.006 7
 
0.2%
0.012 5
 
0.1%

Length

2023-12-13T07:42:13.618384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:13.727268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3730
99.7%
0.006 7
 
0.2%
0.012 5
 
0.1%

2
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3732 
0.006
 
6
0.012
 
4

Length

Max length5
Median length3
Mean length3.0053447
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3732
99.7%
0.006 6
 
0.2%
0.012 4
 
0.1%

Length

2023-12-13T07:42:13.857325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:13.978760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3732
99.7%
0.006 6
 
0.2%
0.012 4
 
0.1%

3
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3733 
0.012
 
5
0.006
 
4

Length

Max length5
Median length3
Mean length3.0048103
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3733
99.8%
0.012 5
 
0.1%
0.006 4
 
0.1%

Length

2023-12-13T07:42:14.079577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:14.199530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3733
99.8%
0.012 5
 
0.1%
0.006 4
 
0.1%

4
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3733 
0.012
 
5
0.006
 
4

Length

Max length5
Median length3
Mean length3.0048103
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3733
99.8%
0.012 5
 
0.1%
0.006 4
 
0.1%

Length

2023-12-13T07:42:14.321726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:14.429806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3733
99.8%
0.012 5
 
0.1%
0.006 4
 
0.1%

5
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3724 
0.006
 
8
0.012
 
8
0.018
 
2

Length

Max length5
Median length3
Mean length3.0096205
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3724
99.5%
0.006 8
 
0.2%
0.012 8
 
0.2%
0.018 2
 
0.1%

Length

2023-12-13T07:42:14.537039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:14.668602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3724
99.5%
0.006 8
 
0.2%
0.012 8
 
0.2%
0.018 2
 
0.1%

6
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013032603
Minimum0
Maximum0.57
Zeros2883
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:14.802951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.09
Maximum0.57
Range0.57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04550758
Coefficient of variation (CV)3.4918259
Kurtosis32.598624
Mean0.013032603
Median Absolute Deviation (MAD)0
Skewness5.1381525
Sum48.768
Variance0.0020709399
MonotonicityNot monotonic
2023-12-13T07:42:14.937220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2883
77.0%
0.006 382
 
10.2%
0.012 46
 
1.2%
0.024 35
 
0.9%
0.018 32
 
0.9%
0.036 29
 
0.8%
0.03 23
 
0.6%
0.054 19
 
0.5%
0.078 17
 
0.5%
0.066 16
 
0.4%
Other values (51) 260
 
6.9%
ValueCountFrequency (%)
0.0 2883
77.0%
0.006 382
 
10.2%
0.012 46
 
1.2%
0.018 32
 
0.9%
0.024 35
 
0.9%
0.03 23
 
0.6%
0.036 29
 
0.8%
0.042 14
 
0.4%
0.048 15
 
0.4%
0.054 19
 
0.5%
ValueCountFrequency (%)
0.57 1
< 0.1%
0.474 1
< 0.1%
0.468 1
< 0.1%
0.438 2
0.1%
0.42 1
< 0.1%
0.402 1
< 0.1%
0.372 1
< 0.1%
0.36 2
0.1%
0.33 1
< 0.1%
0.318 2
0.1%

7
Real number (ℝ)

ZEROS 

Distinct512
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53290647
Minimum0
Maximum4.758
Zeros1444
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:15.079359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.012
Q30.7785
95-th percentile2.52
Maximum4.758
Range4.758
Interquartile range (IQR)0.7785

Descriptive statistics

Standard deviation0.86559874
Coefficient of variation (CV)1.6242977
Kurtosis2.2963185
Mean0.53290647
Median Absolute Deviation (MAD)0.012
Skewness1.7523993
Sum1994.136
Variance0.74926117
MonotonicityNot monotonic
2023-12-13T07:42:15.209440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1444
38.6%
0.006 369
 
9.9%
0.012 65
 
1.7%
0.018 52
 
1.4%
0.024 31
 
0.8%
0.042 30
 
0.8%
0.03 24
 
0.6%
0.048 24
 
0.6%
0.06 18
 
0.5%
0.036 18
 
0.5%
Other values (502) 1667
44.5%
ValueCountFrequency (%)
0.0 1444
38.6%
0.006 369
 
9.9%
0.012 65
 
1.7%
0.018 52
 
1.4%
0.024 31
 
0.8%
0.03 24
 
0.6%
0.036 18
 
0.5%
0.042 30
 
0.8%
0.048 24
 
0.6%
0.054 16
 
0.4%
ValueCountFrequency (%)
4.758 1
< 0.1%
4.428 1
< 0.1%
4.35 1
< 0.1%
4.224 1
< 0.1%
4.104 2
0.1%
3.984 1
< 0.1%
3.93 1
< 0.1%
3.924 1
< 0.1%
3.918 1
< 0.1%
3.87 1
< 0.1%

8
Real number (ℝ)

ZEROS 

Distinct1247
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9455553
Minimum0
Maximum10.866
Zeros212
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:15.338225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.192
median2.289
Q35.3865
95-th percentile7.8837
Maximum10.866
Range10.866
Interquartile range (IQR)5.1945

Descriptive statistics

Standard deviation2.7828143
Coefficient of variation (CV)0.94475031
Kurtosis-1.0609203
Mean2.9455553
Median Absolute Deviation (MAD)2.229
Skewness0.51774979
Sum11022.268
Variance7.7440554
MonotonicityNot monotonic
2023-12-13T07:42:15.494425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 212
 
5.7%
0.006 122
 
3.3%
0.012 67
 
1.8%
0.024 50
 
1.3%
0.018 44
 
1.2%
0.036 39
 
1.0%
0.03 32
 
0.9%
0.048 29
 
0.8%
0.054 28
 
0.7%
0.042 28
 
0.7%
Other values (1237) 3091
82.6%
ValueCountFrequency (%)
0.0 212
5.7%
0.006 122
3.3%
0.012 67
 
1.8%
0.018 44
 
1.2%
0.024 50
 
1.3%
0.03 32
 
0.9%
0.036 39
 
1.0%
0.042 28
 
0.7%
0.048 29
 
0.8%
0.054 28
 
0.7%
ValueCountFrequency (%)
10.866 1
< 0.1%
10.59 1
< 0.1%
10.302 1
< 0.1%
10.038 1
< 0.1%
9.888 1
< 0.1%
9.786 1
< 0.1%
9.768 1
< 0.1%
9.69 2
0.1%
9.576 1
< 0.1%
9.564 1
< 0.1%

9
Real number (ℝ)

ZEROS 

Distinct2200
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7376601
Minimum0
Maximum21.492
Zeros53
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:15.624541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5943
Q14.8375
median9.549
Q314.964
95-th percentile18.3294
Maximum21.492
Range21.492
Interquartile range (IQR)10.1265

Descriptive statistics

Standard deviation5.757873
Coefficient of variation (CV)0.59129945
Kurtosis-1.2358197
Mean9.7376601
Median Absolute Deviation (MAD)5.064
Skewness-0.040168671
Sum36438.324
Variance33.153102
MonotonicityNot monotonic
2023-12-13T07:42:15.773200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
 
1.4%
0.012 16
 
0.4%
0.006 8
 
0.2%
15.162 6
 
0.2%
0.018 6
 
0.2%
15.972 6
 
0.2%
15.834 6
 
0.2%
4.674 6
 
0.2%
8.178 6
 
0.2%
9.63 5
 
0.1%
Other values (2190) 3624
96.8%
ValueCountFrequency (%)
0.0 53
1.4%
0.006 8
 
0.2%
0.012 16
 
0.4%
0.018 6
 
0.2%
0.024 2
 
0.1%
0.03 1
 
< 0.1%
0.036 2
 
0.1%
0.042 2
 
0.1%
0.048 2
 
0.1%
0.066 1
 
< 0.1%
ValueCountFrequency (%)
21.492 1
< 0.1%
21.228 1
< 0.1%
20.832 1
< 0.1%
20.448 1
< 0.1%
20.424 1
< 0.1%
20.418 1
< 0.1%
20.4 1
< 0.1%
20.394 1
< 0.1%
20.244 1
< 0.1%
20.214 1
< 0.1%

10
Real number (ℝ)

Distinct2598
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.186712
Minimum0
Maximum36.336
Zeros35
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:15.910659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7835
Q111.319
median20.583
Q325.4325
95-th percentile29.5017
Maximum36.336
Range36.336
Interquartile range (IQR)14.1135

Descriptive statistics

Standard deviation8.8469975
Coefficient of variation (CV)0.48645392
Kurtosis-0.89736827
Mean18.186712
Median Absolute Deviation (MAD)6.024
Skewness-0.54788249
Sum68054.678
Variance78.269365
MonotonicityNot monotonic
2023-12-13T07:42:16.068806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 35
 
0.9%
0.012 12
 
0.3%
6.678 6
 
0.2%
0.006 5
 
0.1%
24.954 5
 
0.1%
26.436 5
 
0.1%
17.034 5
 
0.1%
22.332 5
 
0.1%
23.82 4
 
0.1%
19.374 4
 
0.1%
Other values (2588) 3656
97.7%
ValueCountFrequency (%)
0.0 35
0.9%
0.006 5
 
0.1%
0.012 12
 
0.3%
0.018 2
 
0.1%
0.03 1
 
< 0.1%
0.042 1
 
< 0.1%
0.054 1
 
< 0.1%
0.078 2
 
0.1%
0.084 1
 
< 0.1%
0.096 2
 
0.1%
ValueCountFrequency (%)
36.336 1
< 0.1%
34.482 1
< 0.1%
34.266 1
< 0.1%
33.504 1
< 0.1%
32.748 1
< 0.1%
32.538 1
< 0.1%
32.406 1
< 0.1%
32.256 1
< 0.1%
32.196 2
0.1%
32.058 1
< 0.1%

11
Real number (ℝ)

Distinct2676
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.544725
Minimum0
Maximum46.866
Zeros34
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:16.231036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.8929
Q115.822
median28.701
Q333.4665
95-th percentile37.8294
Maximum46.866
Range46.866
Interquartile range (IQR)17.6445

Descriptive statistics

Standard deviation11.344171
Coefficient of variation (CV)0.46218365
Kurtosis-0.78424561
Mean24.544725
Median Absolute Deviation (MAD)6.492
Skewness-0.69946932
Sum91846.36
Variance128.69021
MonotonicityNot monotonic
2023-12-13T07:42:16.411594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
0.9%
0.006 8
 
0.2%
0.012 8
 
0.2%
33.936 6
 
0.2%
30.354 6
 
0.2%
32.73 5
 
0.1%
32.988 5
 
0.1%
31.482 5
 
0.1%
33.252 5
 
0.1%
28.914 5
 
0.1%
Other values (2666) 3655
97.7%
ValueCountFrequency (%)
0.0 34
0.9%
0.006 8
 
0.2%
0.012 8
 
0.2%
0.06 1
 
< 0.1%
0.072 1
 
< 0.1%
0.108 1
 
< 0.1%
0.156 1
 
< 0.1%
0.252 1
 
< 0.1%
0.324 1
 
< 0.1%
0.33 1
 
< 0.1%
ValueCountFrequency (%)
46.866 1
< 0.1%
43.464 1
< 0.1%
43.098 1
< 0.1%
42.438 1
< 0.1%
41.592 1
< 0.1%
41.58 1
< 0.1%
41.508 1
< 0.1%
41.112 1
< 0.1%
40.974 1
< 0.1%
40.968 1
< 0.1%

12
Real number (ℝ)

Distinct2777
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.412449
Minimum0
Maximum49.632
Zeros33
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:16.606329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.576
Q119.077
median32.871
Q338.361
95-th percentile43.4634
Maximum49.632
Range49.632
Interquartile range (IQR)19.284

Descriptive statistics

Standard deviation12.859563
Coefficient of variation (CV)0.45260311
Kurtosis-0.68513868
Mean28.412449
Median Absolute Deviation (MAD)7.191
Skewness-0.74322449
Sum106319.39
Variance165.36836
MonotonicityNot monotonic
2023-12-13T07:42:16.763011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
0.9%
0.012 9
 
0.2%
0.006 6
 
0.2%
39.768 5
 
0.1%
39.072 5
 
0.1%
33.696 5
 
0.1%
38.04 5
 
0.1%
35.058 5
 
0.1%
37.944 4
 
0.1%
39.492 4
 
0.1%
Other values (2767) 3661
97.8%
ValueCountFrequency (%)
0.0 33
0.9%
0.006 6
 
0.2%
0.012 9
 
0.2%
0.054 1
 
< 0.1%
0.12 1
 
< 0.1%
0.138 1
 
< 0.1%
0.15 1
 
< 0.1%
0.27 1
 
< 0.1%
0.42 1
 
< 0.1%
0.522 1
 
< 0.1%
ValueCountFrequency (%)
49.632 1
< 0.1%
48.948 1
< 0.1%
48.81 1
< 0.1%
48.714 1
< 0.1%
48.648 1
< 0.1%
48.618 1
< 0.1%
48.606 1
< 0.1%
48.492 1
< 0.1%
48.342 1
< 0.1%
48.186 1
< 0.1%

13
Real number (ℝ)

Distinct2829
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.697131
Minimum0
Maximum52.788
Zeros31
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:16.933737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5844
Q119.881
median33.831
Q340.47
95-th percentile46.1448
Maximum52.788
Range52.788
Interquartile range (IQR)20.589

Descriptive statistics

Standard deviation13.598098
Coefficient of variation (CV)0.45789264
Kurtosis-0.71518455
Mean29.697131
Median Absolute Deviation (MAD)8.178
Skewness-0.68512316
Sum111126.66
Variance184.90826
MonotonicityNot monotonic
2023-12-13T07:42:17.464213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
0.8%
0.006 9
 
0.2%
0.012 6
 
0.2%
31.992 5
 
0.1%
37.53 5
 
0.1%
38.67 4
 
0.1%
37.98 4
 
0.1%
41.046 4
 
0.1%
38.364 4
 
0.1%
40.812 4
 
0.1%
Other values (2819) 3666
98.0%
ValueCountFrequency (%)
0.0 31
0.8%
0.006 9
 
0.2%
0.012 6
 
0.2%
0.018 1
 
< 0.1%
0.114 1
 
< 0.1%
0.234 1
 
< 0.1%
0.27 1
 
< 0.1%
0.342 1
 
< 0.1%
0.36 1
 
< 0.1%
0.456 1
 
< 0.1%
ValueCountFrequency (%)
52.788 1
< 0.1%
52.38 1
< 0.1%
52.254 1
< 0.1%
52.188 1
< 0.1%
52.074 1
< 0.1%
51.966 1
< 0.1%
51.918 1
< 0.1%
51.834 1
< 0.1%
51.774 1
< 0.1%
51.414 1
< 0.1%

14
Real number (ℝ)

Distinct2863
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.992118
Minimum0
Maximum52.482
Zeros31
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:17.620520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6678
Q119.2915
median33.102
Q339.69
95-th percentile45.762
Maximum52.482
Range52.482
Interquartile range (IQR)20.3985

Descriptive statistics

Standard deviation13.472339
Coefficient of variation (CV)0.46468972
Kurtosis-0.76490282
Mean28.992118
Median Absolute Deviation (MAD)8.49
Skewness-0.63106682
Sum108488.51
Variance181.50392
MonotonicityNot monotonic
2023-12-13T07:42:17.788912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
0.8%
0.012 8
 
0.2%
0.006 6
 
0.2%
41.778 6
 
0.2%
33.516 5
 
0.1%
37.926 4
 
0.1%
34.29 4
 
0.1%
36.0 4
 
0.1%
35.16 4
 
0.1%
36.306 4
 
0.1%
Other values (2853) 3666
98.0%
ValueCountFrequency (%)
0.0 31
0.8%
0.006 6
 
0.2%
0.012 8
 
0.2%
0.018 1
 
< 0.1%
0.114 1
 
< 0.1%
0.294 1
 
< 0.1%
0.342 1
 
< 0.1%
0.402 1
 
< 0.1%
0.432 1
 
< 0.1%
0.492 1
 
< 0.1%
ValueCountFrequency (%)
52.482 1
< 0.1%
52.296 1
< 0.1%
52.248 1
< 0.1%
51.906 1
< 0.1%
51.816 1
< 0.1%
51.81 1
< 0.1%
51.738 1
< 0.1%
51.72 1
< 0.1%
51.624 1
< 0.1%
51.528 1
< 0.1%

15
Real number (ℝ)

Distinct2822
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.472175
Minimum0
Maximum49.53
Zeros28
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:17.968957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.772
Q115.582
median28.746
Q335.478
95-th percentile41.9088
Maximum49.53
Range49.53
Interquartile range (IQR)19.896

Descriptive statistics

Standard deviation12.513984
Coefficient of variation (CV)0.49128055
Kurtosis-0.90994495
Mean25.472175
Median Absolute Deviation (MAD)8.541
Skewness-0.49429931
Sum95316.878
Variance156.5998
MonotonicityNot monotonic
2023-12-13T07:42:18.139894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 28
 
0.7%
0.006 10
 
0.3%
0.012 9
 
0.2%
28.038 6
 
0.2%
36.888 5
 
0.1%
35.172 5
 
0.1%
34.344 4
 
0.1%
35.688 4
 
0.1%
29.214 4
 
0.1%
35.244 4
 
0.1%
Other values (2812) 3663
97.9%
ValueCountFrequency (%)
0.0 28
0.7%
0.006 10
 
0.3%
0.012 9
 
0.2%
0.024 1
 
< 0.1%
0.03 1
 
< 0.1%
0.036 1
 
< 0.1%
0.138 1
 
< 0.1%
0.18 1
 
< 0.1%
0.198 1
 
< 0.1%
0.312 1
 
< 0.1%
ValueCountFrequency (%)
49.53 1
< 0.1%
49.02 1
< 0.1%
48.42 1
< 0.1%
48.204 1
< 0.1%
48.192 1
< 0.1%
47.964 1
< 0.1%
47.676 1
< 0.1%
47.622 1
< 0.1%
47.382 1
< 0.1%
47.148 1
< 0.1%

16
Real number (ℝ)

Distinct2750
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.305088
Minimum0
Maximum40.818
Zeros36
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:18.320768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6743
Q110.5675
median20.67
Q328.0665
95-th percentile34.1748
Maximum40.818
Range40.818
Interquartile range (IQR)17.499

Descriptive statistics

Standard deviation10.443299
Coefficient of variation (CV)0.54096097
Kurtosis-1.0571861
Mean19.305088
Median Absolute Deviation (MAD)8.262
Skewness-0.24659585
Sum72239.638
Variance109.06249
MonotonicityNot monotonic
2023-12-13T07:42:18.482940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
1.0%
0.006 14
 
0.4%
31.23 5
 
0.1%
25.254 4
 
0.1%
20.79 4
 
0.1%
11.604 4
 
0.1%
19.902 4
 
0.1%
13.866 4
 
0.1%
11.802 4
 
0.1%
27.27 4
 
0.1%
Other values (2740) 3659
97.8%
ValueCountFrequency (%)
0.0 36
1.0%
0.006 14
 
0.4%
0.012 2
 
0.1%
0.024 2
 
0.1%
0.03 1
 
< 0.1%
0.042 1
 
< 0.1%
0.048 1
 
< 0.1%
0.054 1
 
< 0.1%
0.072 1
 
< 0.1%
0.078 1
 
< 0.1%
ValueCountFrequency (%)
40.818 1
< 0.1%
40.332 1
< 0.1%
40.014 1
< 0.1%
39.558 1
< 0.1%
39.516 1
< 0.1%
39.366 1
< 0.1%
39.348 1
< 0.1%
39.324 1
< 0.1%
39.216 1
< 0.1%
39.096 1
< 0.1%

17
Real number (ℝ)

ZEROS 

Distinct2388
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.198746
Minimum0
Maximum27.354
Zeros54
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:18.670946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.594
Q14.9755
median10.419
Q317.6145
95-th percentile22.464
Maximum27.354
Range27.354
Interquartile range (IQR)12.639

Descriptive statistics

Standard deviation7.1945738
Coefficient of variation (CV)0.64244461
Kurtosis-1.2155508
Mean11.198746
Median Absolute Deviation (MAD)6.261
Skewness0.14262065
Sum41905.706
Variance51.761892
MonotonicityNot monotonic
2023-12-13T07:42:18.822720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
1.4%
0.012 12
 
0.3%
0.006 10
 
0.3%
14.646 6
 
0.2%
2.418 6
 
0.2%
7.56 5
 
0.1%
3.114 5
 
0.1%
1.368 5
 
0.1%
9.402 5
 
0.1%
20.052 5
 
0.1%
Other values (2378) 3629
97.0%
ValueCountFrequency (%)
0.0 54
1.4%
0.006 10
 
0.3%
0.012 12
 
0.3%
0.018 2
 
0.1%
0.024 1
 
< 0.1%
0.036 1
 
< 0.1%
0.048 2
 
0.1%
0.06 4
 
0.1%
0.066 2
 
0.1%
0.072 1
 
< 0.1%
ValueCountFrequency (%)
27.354 1
< 0.1%
27.18 1
< 0.1%
26.352 1
< 0.1%
26.346 1
< 0.1%
26.148 1
< 0.1%
25.896 1
< 0.1%
25.686 1
< 0.1%
25.632 1
< 0.1%
25.572 1
< 0.1%
25.542 1
< 0.1%

18
Real number (ℝ)

ZEROS 

Distinct1529
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1879284
Minimum0
Maximum15.144
Zeros224
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:19.020453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.306
median2.901
Q37.6185
95-th percentile11.442
Maximum15.144
Range15.144
Interquartile range (IQR)7.3125

Descriptive statistics

Standard deviation4.0840842
Coefficient of variation (CV)0.97520392
Kurtosis-1.0280629
Mean4.1879284
Median Absolute Deviation (MAD)2.829
Skewness0.60643299
Sum15671.228
Variance16.679744
MonotonicityNot monotonic
2023-12-13T07:42:19.199384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 224
 
6.0%
0.006 77
 
2.1%
0.012 51
 
1.4%
0.018 35
 
0.9%
0.066 34
 
0.9%
0.036 31
 
0.8%
0.048 24
 
0.6%
0.054 23
 
0.6%
0.024 23
 
0.6%
0.072 22
 
0.6%
Other values (1519) 3198
85.5%
ValueCountFrequency (%)
0.0 224
6.0%
0.006 77
 
2.1%
0.012 51
 
1.4%
0.018 35
 
0.9%
0.024 23
 
0.6%
0.03 21
 
0.6%
0.036 31
 
0.8%
0.042 19
 
0.5%
0.048 24
 
0.6%
0.054 23
 
0.6%
ValueCountFrequency (%)
15.144 1
< 0.1%
15.126 1
< 0.1%
14.694 1
< 0.1%
14.49 1
< 0.1%
14.172 1
< 0.1%
14.1 1
< 0.1%
14.01 1
< 0.1%
13.902 1
< 0.1%
13.878 1
< 0.1%
13.644 1
< 0.1%

19
Real number (ℝ)

ZEROS 

Distinct654
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84720898
Minimum0
Maximum6.588
Zeros1546
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:19.336308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.036
Q31.494
95-th percentile3.5097
Maximum6.588
Range6.588
Interquartile range (IQR)1.494

Descriptive statistics

Standard deviation1.2508569
Coefficient of variation (CV)1.4764444
Kurtosis0.81846406
Mean0.84720898
Median Absolute Deviation (MAD)0.036
Skewness1.3829169
Sum3170.256
Variance1.5646431
MonotonicityNot monotonic
2023-12-13T07:42:19.462819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1546
41.3%
0.006 190
 
5.1%
0.012 42
 
1.1%
0.018 30
 
0.8%
0.036 26
 
0.7%
0.03 22
 
0.6%
0.024 21
 
0.6%
0.072 15
 
0.4%
0.096 14
 
0.4%
0.042 14
 
0.4%
Other values (644) 1822
48.7%
ValueCountFrequency (%)
0.0 1546
41.3%
0.006 190
 
5.1%
0.012 42
 
1.1%
0.018 30
 
0.8%
0.024 21
 
0.6%
0.03 22
 
0.6%
0.036 26
 
0.7%
0.042 14
 
0.4%
0.048 8
 
0.2%
0.054 11
 
0.3%
ValueCountFrequency (%)
6.588 1
< 0.1%
6.51 1
< 0.1%
5.844 1
< 0.1%
5.58 1
< 0.1%
5.478 1
< 0.1%
5.394 1
< 0.1%
5.316 1
< 0.1%
5.292 1
< 0.1%
5.274 1
< 0.1%
5.196 1
< 0.1%

20
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028051844
Minimum0
Maximum0.96
Zeros2899
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-13T07:42:19.621818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.21
Maximum0.96
Range0.96
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.087788247
Coefficient of variation (CV)3.1295
Kurtosis25.997705
Mean0.028051844
Median Absolute Deviation (MAD)0
Skewness4.5339313
Sum104.97
Variance0.0077067762
MonotonicityNot monotonic
2023-12-13T07:42:19.769721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2899
77.5%
0.006 177
 
4.7%
0.012 55
 
1.5%
0.018 35
 
0.9%
0.03 30
 
0.8%
0.024 30
 
0.8%
0.048 22
 
0.6%
0.042 20
 
0.5%
0.078 19
 
0.5%
0.066 16
 
0.4%
Other values (89) 439
 
11.7%
ValueCountFrequency (%)
0.0 2899
77.5%
0.006 177
 
4.7%
0.012 55
 
1.5%
0.018 35
 
0.9%
0.024 30
 
0.8%
0.03 30
 
0.8%
0.036 13
 
0.3%
0.042 20
 
0.5%
0.048 22
 
0.6%
0.054 15
 
0.4%
ValueCountFrequency (%)
0.96 1
< 0.1%
0.954 1
< 0.1%
0.87 1
< 0.1%
0.852 1
< 0.1%
0.834 1
< 0.1%
0.762 1
< 0.1%
0.714 1
< 0.1%
0.672 1
< 0.1%
0.624 1
< 0.1%
0.612 1
< 0.1%

21
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3732 
0.012
 
5
0.006
 
4
0.018
 
1

Length

Max length5
Median length3
Mean length3.0053447
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 3732
99.7%
0.012 5
 
0.1%
0.006 4
 
0.1%
0.018 1
 
< 0.1%

Length

2023-12-13T07:42:19.918104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:20.054763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3732
99.7%
0.012 5
 
0.1%
0.006 4
 
0.1%
0.018 1
 
< 0.1%

22
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3730 
0.012
 
6
0.006
 
6

Length

Max length5
Median length3
Mean length3.0064137
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3730
99.7%
0.012 6
 
0.2%
0.006 6
 
0.2%

Length

2023-12-13T07:42:20.195145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:20.314640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3730
99.7%
0.012 6
 
0.2%
0.006 6
 
0.2%

23
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3731 
0.006
 
6
0.012
 
5

Length

Max length5
Median length3
Mean length3.0058792
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3731
99.7%
0.006 6
 
0.2%
0.012 5
 
0.1%

Length

2023-12-13T07:42:20.442168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:20.618250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3731
99.7%
0.006 6
 
0.2%
0.012 5
 
0.1%

24
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3725 
0.006
 
9
0.012
 
6
0.018
 
2

Length

Max length5
Median length3
Mean length3.0090861
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 3725
99.5%
0.006 9
 
0.2%
0.012 6
 
0.2%
0.018 2
 
0.1%

Length

2023-12-13T07:42:20.766044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:42:20.888744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3725
99.5%
0.006 9
 
0.2%
0.012 6
 
0.2%
0.018 2
 
0.1%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
02013-01-011131.1965.027.3120.027.3120.0960.00.00.00.00.00.00.00.01.0327.6029.99625.46425.99227.31223.3287.5422.8320.0960.00.00.00.00.00.0
12013-01-021234.08410.039.1260.039.1260.0240.00.00.00.00.00.00.00.0245.66420.13630.07236.35439.12638.93433.02421.9488.550.2520.00.00.00.00.00.0
22013-01-031228.16810.044.2680.044.2680.0060.00.00.00.00.00.00.00.0065.39413.78829.83839.88844.26843.15834.48813.0744.0620.2040.00.00.00.00.00.0
32013-01-041242.13610.041.1960.041.1960.0060.00.00.00.00.00.00.00.0066.26423.32232.5238.58641.19636.331.56620.84411.3520.180.00.00.00.00.00.0
42013-01-051240.35410.041.0040.041.0040.0240.00.00.00.00.00.00.00.0246.93622.83632.6138.44241.00435.08831.63819.85411.7360.1860.00.00.00.00.00.0
52013-01-061219.3129.037.530.037.530.3180.00.00.00.00.00.00.00.05.61619.4128.39232.9437.5336.4830.69620.3047.6260.3180.00.00.00.00.00.0
62013-01-071230.11210.039.3420.039.3420.0240.00.00.00.00.00.00.00.0245.70620.60430.02430.02439.34238.47833.34822.9149.2820.3660.00.00.00.00.00.0
72013-01-081224.8029.038.0040.038.0040.0780.00.00.00.00.00.00.00.0785.46619.03228.7734.9538.00436.7231.15221.189.0780.3720.00.00.00.00.00.0
82013-01-091254.95811.042.5460.042.5460.0960.00.00.00.00.00.00.00.0966.09617.53230.38439.1542.54642.13836.88826.57413.1520.4020.00.00.00.00.00.0
92013-01-101256.8311.041.3940.041.3940.0180.00.00.00.00.00.00.00.0186.64821.7531.59637.81841.39440.98636.3926.41213.3620.4560.00.00.00.00.00.0
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
37322023-03-22143.771.8246.8940.06.8940.00.00.00.00.00.00.00.0060.3663.1385.8925.6466.8945.1243.935.795.131.5540.30.00.00.00.00.00.0
37332023-03-23150.5682.10715.7980.015.7980.00.00.00.00.00.00.00.00.0120.391.3689.61815.79812.154.0143.2343.4440.4740.0660.00.00.00.00.00.0
37342023-03-24120.4180.8514.7340.04.7340.10.00.00.00.00.00.00.00.1260.631.0862.8684.7342.941.9623.121.5841.2120.1560.00.00.00.00.00.0
37352023-03-251129.215.38432.0160.032.0160.20.00.00.00.00.00.00.243.49212.19212.85815.92415.04832.01617.53811.8745.462.0760.4920.00.00.00.00.00.0
37362023-03-261251.3110.47137.7460.037.7460.10.00.00.00.00.00.00.062.6528.08214.3126.68235.09437.74637.44635.17225.92618.0069.2820.8520.00.00.00.00.0
37372023-03-271299.65212.48638.9460.038.9460.10.00.00.00.00.00.00.1084.39816.75228.25436.33637.99238.94638.01636.8431.3220.6769.2340.780.00.00.00.00.0
37382023-03-281258.40810.76738.7540.038.7540.30.00.00.00.00.00.00.2524.87815.97226.5233.84637.06838.75438.14229.24416.512.0544.8180.360.00.00.00.00.0
37392023-03-291274.42211.43437.4580.037.4580.30.00.00.00.00.00.00.3185.26215.42625.37433.31236.3936.11437.45832.14227.85217.3226.9120.540.00.00.00.00.0
37402023-03-301207.7388.65630.7260.030.7260.30.00.00.00.00.00.00.3664.96812.78620.01628.04424.45629.68230.72621.76219.2311.0044.3980.30.00.00.00.00.0
37412023-03-311274.22411.42637.1820.037.1820.40.00.00.00.00.00.00.3964.9215.03626.12433.46234.535.9437.18232.89827.2718.6547.3260.5160.00.00.00.00.0