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)_하동변전소 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043405/fileData.do

Alerts

호기 has constant value ""Constant
최소(kw) has constant value ""Constant
1 has constant value ""Constant
2 has constant value ""Constant
3 has constant value ""Constant
4 has constant value ""Constant
5 has constant value ""Constant
22 has constant value ""Constant
23 has constant value ""Constant
24 has constant value ""Constant
21 is highly imbalanced (99.6%)Imbalance
년월일 has unique valuesUnique
평균(kw) has 70 (1.9%) zerosZeros
최소(시간별_kw) has 157 (4.2%) zerosZeros
6 has 3658 (97.8%) zerosZeros
7 has 2300 (61.5%) zerosZeros
8 has 934 (25.0%) zerosZeros
9 has 141 (3.8%) zerosZeros
10 has 84 (2.2%) zerosZeros
11 has 69 (1.8%) zerosZeros
12 has 67 (1.8%) zerosZeros
13 has 61 (1.6%) zerosZeros
14 has 56 (1.5%) zerosZeros
15 has 50 (1.3%) zerosZeros
16 has 55 (1.5%) zerosZeros
17 has 86 (2.3%) zerosZeros
18 has 294 (7.9%) zerosZeros
19 has 1752 (46.8%) zerosZeros
20 has 3045 (81.4%) zerosZeros

Reproduction

Analysis started2023-12-12 00:39:15.065000
Analysis finished2023-12-12 00:39:15.493703
Duration0.43 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
2023-12-12T09:39:15.545894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:39:15.651860image/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

2023-12-12T09:39:15.761604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:15.848309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3742
100.0%

총량(kw)
Real number (ℝ)

Distinct3595
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.06851
Minimum0
Maximum326.016
Zeros36
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:15.956352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.4296
Q1128.855
median206.758
Q3245.581
95-th percentile282.326
Maximum326.016
Range326.016
Interquartile range (IQR)116.726

Descriptive statistics

Standard deviation80.341987
Coefficient of variation (CV)0.43886296
Kurtosis-0.62743511
Mean183.06851
Median Absolute Deviation (MAD)48.764
Skewness-0.69118962
Sum685042.36
Variance6454.8349
MonotonicityNot monotonic
2023-12-12T09:39:16.095722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
1.0%
224.068 3
 
0.1%
242.044 3
 
0.1%
217.68 3
 
0.1%
205.82 2
 
0.1%
237.528 2
 
0.1%
254.252 2
 
0.1%
215.092 2
 
0.1%
225.884 2
 
0.1%
252.884 2
 
0.1%
Other values (3585) 3685
98.5%
ValueCountFrequency (%)
0.0 36
1.0%
2.62 1
 
< 0.1%
2.76 1
 
< 0.1%
3.08 1
 
< 0.1%
3.284 1
 
< 0.1%
3.3 1
 
< 0.1%
3.588 1
 
< 0.1%
3.84 1
 
< 0.1%
3.848 1
 
< 0.1%
4.344 1
 
< 0.1%
ValueCountFrequency (%)
326.016 1
< 0.1%
320.776 1
< 0.1%
318.384 1
< 0.1%
318.232 1
< 0.1%
312.696 1
< 0.1%
312.1 1
< 0.1%
312.068 1
< 0.1%
309.988 1
< 0.1%
309.928 1
< 0.1%
309.908 1
< 0.1%

평균(kw)
Real number (ℝ)

ZEROS 

Distinct954
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6322169
Minimum0
Maximum14
Zeros70
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:16.238994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8.83
Q310
95-th percentile12
Maximum14
Range14
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.364102
Coefficient of variation (CV)0.44077652
Kurtosis-0.6252792
Mean7.6322169
Median Absolute Deviation (MAD)2.17
Skewness-0.68269887
Sum28559.756
Variance11.317182
MonotonicityNot monotonic
2023-12-12T09:39:16.358041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 465
 
12.4%
11.0 401
 
10.7%
9.0 350
 
9.4%
8.0 245
 
6.5%
12.0 191
 
5.1%
7.0 188
 
5.0%
6.0 160
 
4.3%
2.0 152
 
4.1%
1.0 148
 
4.0%
5.0 133
 
3.6%
Other values (944) 1309
35.0%
ValueCountFrequency (%)
0.0 70
1.9%
0.386 1
 
< 0.1%
0.394 1
 
< 0.1%
0.4275 1
 
< 0.1%
0.453 1
 
< 0.1%
0.61 1
 
< 0.1%
0.641 1
 
< 0.1%
0.671 1
 
< 0.1%
0.712 1
 
< 0.1%
0.751 1
 
< 0.1%
ValueCountFrequency (%)
14.0 1
 
< 0.1%
13.0 41
1.1%
12.70716667 1
 
< 0.1%
12.69866667 1
 
< 0.1%
12.695 1
 
< 0.1%
12.39 1
 
< 0.1%
12.306 1
 
< 0.1%
12.246 1
 
< 0.1%
12.24016667 1
 
< 0.1%
12.1215 1
 
< 0.1%

최대(kw)
Real number (ℝ)

Distinct2762
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.064671
Minimum0
Maximum45.416
Zeros36
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:16.477160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8934
Q124.833
median33.212
Q336.38
95-th percentile39.668
Maximum45.416
Range45.416
Interquartile range (IQR)11.547

Descriptive statistics

Standard deviation10.50926
Coefficient of variation (CV)0.36158192
Kurtosis0.38450842
Mean29.064671
Median Absolute Deviation (MAD)4.128
Skewness-1.2072705
Sum108760
Variance110.44454
MonotonicityNot monotonic
2023-12-12T09:39:16.879216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
1.0%
35.492 7
 
0.2%
37.676 5
 
0.1%
34.768 5
 
0.1%
32.8 5
 
0.1%
36.512 5
 
0.1%
35.66 5
 
0.1%
37.02 4
 
0.1%
37.452 4
 
0.1%
33.204 4
 
0.1%
Other values (2752) 3662
97.9%
ValueCountFrequency (%)
0.0 36
1.0%
0.904 1
 
< 0.1%
0.924 1
 
< 0.1%
0.948 1
 
< 0.1%
1.076 1
 
< 0.1%
1.124 1
 
< 0.1%
1.128 1
 
< 0.1%
1.144 1
 
< 0.1%
1.352 1
 
< 0.1%
1.448 1
 
< 0.1%
ValueCountFrequency (%)
45.416 1
< 0.1%
44.864 1
< 0.1%
44.432 1
< 0.1%
43.9 1
< 0.1%
43.664 1
< 0.1%
43.624 1
< 0.1%
43.248 1
< 0.1%
43.232 1
< 0.1%
43.084 1
< 0.1%
43.044 1
< 0.1%

최소(kw)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:17.001370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:17.091660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

최대(시간별_kw)
Real number (ℝ)

Distinct2805
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.063374
Minimum0
Maximum45.416
Zeros36
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:17.194567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8934
Q124.831
median33.211
Q336.38
95-th percentile39.668
Maximum45.416
Range45.416
Interquartile range (IQR)11.549

Descriptive statistics

Standard deviation10.509217
Coefficient of variation (CV)0.36159661
Kurtosis0.38444541
Mean29.063374
Median Absolute Deviation (MAD)4.131
Skewness-1.2072561
Sum108755.15
Variance110.44365
MonotonicityNot monotonic
2023-12-12T09:39:17.336402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
1.0%
35.46 6
 
0.2%
37.16 6
 
0.2%
35.66 6
 
0.2%
35.82 6
 
0.2%
35.98 5
 
0.1%
35.5 5
 
0.1%
32.8 5
 
0.1%
33.48 5
 
0.1%
36.9 5
 
0.1%
Other values (2795) 3657
97.7%
ValueCountFrequency (%)
0.0 36
1.0%
0.904 1
 
< 0.1%
0.92 1
 
< 0.1%
0.948 1
 
< 0.1%
1.076 1
 
< 0.1%
1.124 1
 
< 0.1%
1.128 1
 
< 0.1%
1.14 1
 
< 0.1%
1.352 1
 
< 0.1%
1.44 1
 
< 0.1%
ValueCountFrequency (%)
45.416 1
< 0.1%
44.864 1
< 0.1%
44.432 1
< 0.1%
43.9 1
< 0.1%
43.664 1
< 0.1%
43.62 1
< 0.1%
43.248 1
< 0.1%
43.232 1
< 0.1%
43.08 1
< 0.1%
43.044 1
< 0.1%

최소(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct511
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37258952
Minimum0
Maximum5.52
Zeros157
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:17.477906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004
Q10.048
median0.18
Q30.498
95-th percentile1.3878
Maximum5.52
Range5.52
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation0.51196588
Coefficient of variation (CV)1.3740748
Kurtosis11.114391
Mean0.37258952
Median Absolute Deviation (MAD)0.16
Skewness2.7296796
Sum1394.23
Variance0.26210906
MonotonicityNot monotonic
2023-12-12T09:39:17.607813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.004 259
 
6.9%
0.0 157
 
4.2%
0.1 120
 
3.2%
0.2 72
 
1.9%
0.04 72
 
1.9%
0.02 71
 
1.9%
0.06 67
 
1.8%
0.08 53
 
1.4%
0.012 49
 
1.3%
0.016 48
 
1.3%
Other values (501) 2774
74.1%
ValueCountFrequency (%)
0.0 157
4.2%
0.004 259
6.9%
0.008 44
 
1.2%
0.01 33
 
0.9%
0.012 49
 
1.3%
0.016 48
 
1.3%
0.02 71
 
1.9%
0.024 30
 
0.8%
0.028 38
 
1.0%
0.03 34
 
0.9%
ValueCountFrequency (%)
5.52 1
< 0.1%
4.18 1
< 0.1%
4.128 1
< 0.1%
3.94 1
< 0.1%
3.8 1
< 0.1%
3.6 2
0.1%
3.488 1
< 0.1%
3.4 2
0.1%
3.2 1
< 0.1%
3.17 1
< 0.1%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:17.722632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:17.813577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:17.905266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:17.999955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:18.105294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:18.193265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

4
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:18.285215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:18.375399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

5
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:18.470339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:18.560906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

6
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0010058792
Minimum0
Maximum0.292
Zeros3658
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:18.652705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.292
Range0.292
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.011812736
Coefficient of variation (CV)11.743692
Kurtosis327.05806
Mean0.0010058792
Median Absolute Deviation (MAD)0
Skewness16.703999
Sum3.764
Variance0.00013954073
MonotonicityNot monotonic
2023-12-12T09:39:18.764671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 3658
97.8%
0.004 39
 
1.0%
0.016 5
 
0.1%
0.028 3
 
0.1%
0.064 3
 
0.1%
0.012 3
 
0.1%
0.06 3
 
0.1%
0.024 2
 
0.1%
0.08 2
 
0.1%
0.116 2
 
0.1%
Other values (19) 22
 
0.6%
ValueCountFrequency (%)
0.0 3658
97.8%
0.004 39
 
1.0%
0.008 1
 
< 0.1%
0.012 3
 
0.1%
0.016 5
 
0.1%
0.02 2
 
0.1%
0.024 2
 
0.1%
0.028 3
 
0.1%
0.032 1
 
< 0.1%
0.052 1
 
< 0.1%
ValueCountFrequency (%)
0.292 1
< 0.1%
0.276 1
< 0.1%
0.268 1
< 0.1%
0.224 1
< 0.1%
0.184 1
< 0.1%
0.152 1
< 0.1%
0.136 1
< 0.1%
0.128 1
< 0.1%
0.124 1
< 0.1%
0.12 1
< 0.1%

7
Real number (ℝ)

ZEROS 

Distinct643
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45927632
Minimum0
Maximum4.88
Zeros2300
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:18.909559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.599
95-th percentile2.4558
Maximum4.88
Range4.88
Interquartile range (IQR)0.599

Descriptive statistics

Standard deviation0.83681457
Coefficient of variation (CV)1.8220285
Kurtosis2.8004328
Mean0.45927632
Median Absolute Deviation (MAD)0
Skewness1.9097366
Sum1718.612
Variance0.70025862
MonotonicityNot monotonic
2023-12-12T09:39:19.071174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2300
61.5%
0.004 87
 
2.3%
0.008 13
 
0.3%
0.016 11
 
0.3%
0.212 8
 
0.2%
0.04 7
 
0.2%
0.748 7
 
0.2%
0.372 7
 
0.2%
0.56 7
 
0.2%
0.72 6
 
0.2%
Other values (633) 1289
34.4%
ValueCountFrequency (%)
0.0 2300
61.5%
0.004 87
 
2.3%
0.008 13
 
0.3%
0.012 6
 
0.2%
0.016 11
 
0.3%
0.02 6
 
0.2%
0.024 2
 
0.1%
0.032 2
 
0.1%
0.036 3
 
0.1%
0.04 7
 
0.2%
ValueCountFrequency (%)
4.88 1
< 0.1%
4.464 1
< 0.1%
4.136 1
< 0.1%
3.996 1
< 0.1%
3.984 1
< 0.1%
3.912 1
< 0.1%
3.868 1
< 0.1%
3.668 2
0.1%
3.652 1
< 0.1%
3.644 1
< 0.1%

8
Real number (ℝ)

ZEROS 

Distinct1681
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2927696
Minimum0
Maximum13.736
Zeros934
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:19.194785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004
median1.94
Q35.966
95-th percentile10.5078
Maximum13.736
Range13.736
Interquartile range (IQR)5.962

Descriptive statistics

Standard deviation3.6125593
Coefficient of variation (CV)1.0971187
Kurtosis-0.52178666
Mean3.2927696
Median Absolute Deviation (MAD)1.94
Skewness0.85433122
Sum12321.544
Variance13.050584
MonotonicityNot monotonic
2023-12-12T09:39:19.333589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 934
 
25.0%
0.004 73
 
2.0%
0.032 9
 
0.2%
0.008 9
 
0.2%
0.036 9
 
0.2%
0.552 8
 
0.2%
0.504 8
 
0.2%
0.084 8
 
0.2%
0.088 7
 
0.2%
0.028 6
 
0.2%
Other values (1671) 2671
71.4%
ValueCountFrequency (%)
0.0 934
25.0%
0.004 73
 
2.0%
0.008 9
 
0.2%
0.012 5
 
0.1%
0.016 2
 
0.1%
0.02 3
 
0.1%
0.024 2
 
0.1%
0.028 6
 
0.2%
0.032 9
 
0.2%
0.036 9
 
0.2%
ValueCountFrequency (%)
13.736 1
< 0.1%
13.684 1
< 0.1%
13.276 1
< 0.1%
13.172 1
< 0.1%
13.16 1
< 0.1%
13.016 1
< 0.1%
12.972 1
< 0.1%
12.832 1
< 0.1%
12.784 1
< 0.1%
12.624 1
< 0.1%

9
Real number (ℝ)

ZEROS 

Distinct2651
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.458327
Minimum0
Maximum26.304
Zeros141
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:19.483519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1006
Q14.444
median9.704
Q316.895
95-th percentile21.303
Maximum26.304
Range26.304
Interquartile range (IQR)12.451

Descriptive statistics

Standard deviation6.9255074
Coefficient of variation (CV)0.6622003
Kurtosis-1.2804958
Mean10.458327
Median Absolute Deviation (MAD)6.122
Skewness0.13007333
Sum39135.06
Variance47.962652
MonotonicityNot monotonic
2023-12-12T09:39:19.626296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 141
 
3.8%
0.004 22
 
0.6%
6.516 6
 
0.2%
20.492 5
 
0.1%
5.412 5
 
0.1%
5.812 5
 
0.1%
0.096 5
 
0.1%
11.644 5
 
0.1%
0.032 5
 
0.1%
7.692 5
 
0.1%
Other values (2641) 3538
94.5%
ValueCountFrequency (%)
0.0 141
3.8%
0.004 22
 
0.6%
0.008 2
 
0.1%
0.012 1
 
< 0.1%
0.028 1
 
< 0.1%
0.032 5
 
0.1%
0.036 2
 
0.1%
0.06 2
 
0.1%
0.064 1
 
< 0.1%
0.072 2
 
0.1%
ValueCountFrequency (%)
26.304 1
< 0.1%
24.14 1
< 0.1%
23.928 1
< 0.1%
23.776 1
< 0.1%
23.764 1
< 0.1%
23.56 1
< 0.1%
23.536 1
< 0.1%
23.516 1
< 0.1%
23.496 1
< 0.1%
23.444 1
< 0.1%

10
Real number (ℝ)

ZEROS 

Distinct2810
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.407871
Minimum0
Maximum36.824
Zeros84
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:19.751946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4246
Q110.322
median21.546
Q326.24
95-th percentile29.7838
Maximum36.824
Range36.824
Interquartile range (IQR)15.918

Descriptive statistics

Standard deviation9.4232608
Coefficient of variation (CV)0.51191477
Kurtosis-1.0338818
Mean18.407871
Median Absolute Deviation (MAD)6.18
Skewness-0.55702526
Sum68882.252
Variance88.797844
MonotonicityNot monotonic
2023-12-12T09:39:19.885288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 84
 
2.2%
25.384 5
 
0.1%
28.812 5
 
0.1%
27.748 5
 
0.1%
0.004 5
 
0.1%
23.344 4
 
0.1%
27.808 4
 
0.1%
21.548 4
 
0.1%
23.452 4
 
0.1%
26.652 4
 
0.1%
Other values (2800) 3618
96.7%
ValueCountFrequency (%)
0.0 84
2.2%
0.004 5
 
0.1%
0.008 3
 
0.1%
0.012 1
 
< 0.1%
0.032 1
 
< 0.1%
0.096 1
 
< 0.1%
0.104 1
 
< 0.1%
0.112 1
 
< 0.1%
0.164 1
 
< 0.1%
0.188 1
 
< 0.1%
ValueCountFrequency (%)
36.824 1
< 0.1%
33.224 1
< 0.1%
32.716 1
< 0.1%
32.68 1
< 0.1%
32.66 1
< 0.1%
32.496 1
< 0.1%
32.336 1
< 0.1%
32.3 1
< 0.1%
32.26 1
< 0.1%
32.24 1
< 0.1%

11
Real number (ℝ)

ZEROS 

Distinct2836
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.473774
Minimum0
Maximum40.732
Zeros69
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:20.083425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3044
Q114.424
median28.224
Q332.424
95-th percentile35.3518
Maximum40.732
Range40.732
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.130626
Coefficient of variation (CV)0.47417282
Kurtosis-0.83916792
Mean23.473774
Median Absolute Deviation (MAD)5.626
Skewness-0.75383549
Sum87838.864
Variance123.89083
MonotonicityNot monotonic
2023-12-12T09:39:20.238088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
 
1.8%
31.364 6
 
0.2%
33.172 5
 
0.1%
34.796 5
 
0.1%
33.828 5
 
0.1%
30.672 5
 
0.1%
31.62 5
 
0.1%
33.984 5
 
0.1%
34.644 5
 
0.1%
34.596 5
 
0.1%
Other values (2826) 3627
96.9%
ValueCountFrequency (%)
0.0 69
1.8%
0.008 1
 
< 0.1%
0.04 1
 
< 0.1%
0.056 1
 
< 0.1%
0.144 2
 
0.1%
0.188 1
 
< 0.1%
0.22 1
 
< 0.1%
0.244 1
 
< 0.1%
0.248 1
 
< 0.1%
0.292 1
 
< 0.1%
ValueCountFrequency (%)
40.732 1
< 0.1%
40.116 1
< 0.1%
40.052 1
< 0.1%
39.416 1
< 0.1%
39.156 1
< 0.1%
39.148 1
< 0.1%
38.868 1
< 0.1%
38.864 1
< 0.1%
38.08 1
< 0.1%
37.992 1
< 0.1%

12
Real number (ℝ)

ZEROS 

Distinct2835
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.102221
Minimum0
Maximum44.544
Zeros67
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:20.375792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.8444
Q117.376
median31.276
Q335.528
95-th percentile38.6798
Maximum44.544
Range44.544
Interquartile range (IQR)18.152

Descriptive statistics

Standard deviation11.967083
Coefficient of variation (CV)0.4584699
Kurtosis-0.6950777
Mean26.102221
Median Absolute Deviation (MAD)5.694
Skewness-0.82474669
Sum97674.512
Variance143.21107
MonotonicityNot monotonic
2023-12-12T09:39:20.512574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 67
 
1.8%
37.092 6
 
0.2%
37.064 6
 
0.2%
33.928 6
 
0.2%
34.62 5
 
0.1%
30.368 5
 
0.1%
33.696 5
 
0.1%
38.396 5
 
0.1%
35.708 4
 
0.1%
36.456 4
 
0.1%
Other values (2825) 3629
97.0%
ValueCountFrequency (%)
0.0 67
1.8%
0.052 1
 
< 0.1%
0.076 1
 
< 0.1%
0.18 1
 
< 0.1%
0.328 1
 
< 0.1%
0.336 1
 
< 0.1%
0.404 1
 
< 0.1%
0.456 1
 
< 0.1%
0.476 1
 
< 0.1%
0.54 1
 
< 0.1%
ValueCountFrequency (%)
44.544 1
< 0.1%
43.88 1
< 0.1%
43.084 1
< 0.1%
42.936 1
< 0.1%
42.92 1
< 0.1%
42.684 1
< 0.1%
42.516 1
< 0.1%
42.012 1
< 0.1%
41.784 1
< 0.1%
41.776 1
< 0.1%

13
Real number (ℝ)

ZEROS 

Distinct2912
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.429881
Minimum0
Maximum45.416
Zeros61
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:20.685062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.0246
Q117.308
median31.662
Q335.944
95-th percentile39.5656
Maximum45.416
Range45.416
Interquartile range (IQR)18.636

Descriptive statistics

Standard deviation12.087092
Coefficient of variation (CV)0.45732676
Kurtosis-0.70771691
Mean26.429881
Median Absolute Deviation (MAD)6.016
Skewness-0.7892489
Sum98900.616
Variance146.09779
MonotonicityNot monotonic
2023-12-12T09:39:20.811452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 61
 
1.6%
36.42 6
 
0.2%
33.544 5
 
0.1%
34.388 5
 
0.1%
37.16 5
 
0.1%
35.944 4
 
0.1%
28.532 4
 
0.1%
37.264 4
 
0.1%
35.54 4
 
0.1%
37.072 4
 
0.1%
Other values (2902) 3640
97.3%
ValueCountFrequency (%)
0.0 61
1.6%
0.104 1
 
< 0.1%
0.156 1
 
< 0.1%
0.256 2
 
0.1%
0.284 1
 
< 0.1%
0.356 1
 
< 0.1%
0.364 1
 
< 0.1%
0.384 1
 
< 0.1%
0.388 1
 
< 0.1%
0.548 1
 
< 0.1%
ValueCountFrequency (%)
45.416 1
< 0.1%
44.864 1
< 0.1%
44.432 1
< 0.1%
43.9 1
< 0.1%
43.664 1
< 0.1%
43.624 1
< 0.1%
43.248 1
< 0.1%
43.232 1
< 0.1%
43.084 1
< 0.1%
43.044 1
< 0.1%

14
Real number (ℝ)

ZEROS 

Distinct2900
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.98233
Minimum0
Maximum43.796
Zeros56
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:20.939111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.936
Q116.537
median29.544
Q333.984
95-th percentile37.9398
Maximum43.796
Range43.796
Interquartile range (IQR)17.447

Descriptive statistics

Standard deviation11.462601
Coefficient of variation (CV)0.45882832
Kurtosis-0.74512438
Mean24.98233
Median Absolute Deviation (MAD)6.244
Skewness-0.73682301
Sum93483.88
Variance131.39121
MonotonicityNot monotonic
2023-12-12T09:39:21.070052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
1.5%
32.92 5
 
0.1%
33.552 5
 
0.1%
33.124 4
 
0.1%
32.252 4
 
0.1%
35.68 4
 
0.1%
33.968 4
 
0.1%
32.712 4
 
0.1%
32.8 4
 
0.1%
36.86 4
 
0.1%
Other values (2890) 3648
97.5%
ValueCountFrequency (%)
0.0 56
1.5%
0.004 1
 
< 0.1%
0.128 1
 
< 0.1%
0.3 1
 
< 0.1%
0.34 1
 
< 0.1%
0.388 1
 
< 0.1%
0.408 1
 
< 0.1%
0.516 1
 
< 0.1%
0.62 1
 
< 0.1%
0.624 1
 
< 0.1%
ValueCountFrequency (%)
43.796 1
< 0.1%
43.156 1
< 0.1%
42.992 1
< 0.1%
42.864 1
< 0.1%
42.7 1
< 0.1%
42.588 1
< 0.1%
42.416 1
< 0.1%
42.412 1
< 0.1%
42.368 1
< 0.1%
41.812 1
< 0.1%

15
Real number (ℝ)

ZEROS 

Distinct2899
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.41262
Minimum0
Maximum39.192
Zeros50
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:21.542908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3282
Q113.122
median25.036
Q329.522
95-th percentile33.8158
Maximum39.192
Range39.192
Interquartile range (IQR)16.4

Descriptive statistics

Standard deviation10.256814
Coefficient of variation (CV)0.4790079
Kurtosis-0.88834793
Mean21.41262
Median Absolute Deviation (MAD)6.074
Skewness-0.61785027
Sum80126.024
Variance105.20224
MonotonicityNot monotonic
2023-12-12T09:39:21.685491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
1.3%
30.46 5
 
0.1%
30.756 5
 
0.1%
24.848 5
 
0.1%
29.376 5
 
0.1%
29.34 5
 
0.1%
25.06 5
 
0.1%
28.88 4
 
0.1%
29.232 4
 
0.1%
26.8 4
 
0.1%
Other values (2889) 3650
97.5%
ValueCountFrequency (%)
0.0 50
1.3%
0.14 1
 
< 0.1%
0.152 1
 
< 0.1%
0.188 1
 
< 0.1%
0.272 1
 
< 0.1%
0.296 1
 
< 0.1%
0.3 1
 
< 0.1%
0.312 1
 
< 0.1%
0.32 1
 
< 0.1%
0.336 1
 
< 0.1%
ValueCountFrequency (%)
39.192 1
< 0.1%
38.296 1
< 0.1%
38.092 1
< 0.1%
38.008 1
< 0.1%
37.948 1
< 0.1%
37.892 1
< 0.1%
37.824 1
< 0.1%
37.804 1
< 0.1%
37.64 1
< 0.1%
37.628 1
< 0.1%

16
Real number (ℝ)

ZEROS 

Distinct2847
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.865678
Minimum0
Maximum31.3
Zeros55
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:21.843801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4722
Q19.339
median17.64
Q322.692
95-th percentile26.7238
Maximum31.3
Range31.3
Interquartile range (IQR)13.353

Descriptive statistics

Standard deviation8.1661569
Coefficient of variation (CV)0.51470582
Kurtosis-1.0232991
Mean15.865678
Median Absolute Deviation (MAD)5.942
Skewness-0.41701807
Sum59369.368
Variance66.686118
MonotonicityNot monotonic
2023-12-12T09:39:21.987051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 55
 
1.5%
22.112 5
 
0.1%
24.164 5
 
0.1%
19.764 5
 
0.1%
21.78 5
 
0.1%
25.22 5
 
0.1%
23.284 4
 
0.1%
22.276 4
 
0.1%
24.08 4
 
0.1%
0.004 4
 
0.1%
Other values (2837) 3646
97.4%
ValueCountFrequency (%)
0.0 55
1.5%
0.004 4
 
0.1%
0.012 1
 
< 0.1%
0.016 1
 
< 0.1%
0.088 2
 
0.1%
0.092 1
 
< 0.1%
0.096 1
 
< 0.1%
0.108 2
 
0.1%
0.136 1
 
< 0.1%
0.18 2
 
0.1%
ValueCountFrequency (%)
31.3 1
< 0.1%
30.82 1
< 0.1%
30.772 1
< 0.1%
30.7 1
< 0.1%
30.492 1
< 0.1%
30.268 1
< 0.1%
30.184 1
< 0.1%
30.144 1
< 0.1%
30.044 1
< 0.1%
30.012 1
< 0.1%

17
Real number (ℝ)

ZEROS 

Distinct2511
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6837199
Minimum0
Maximum20.756
Zeros86
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:22.149062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5522
Q13.932
median8.306
Q313.751
95-th percentile16.8118
Maximum20.756
Range20.756
Interquartile range (IQR)9.819

Descriptive statistics

Standard deviation5.3989768
Coefficient of variation (CV)0.62173548
Kurtosis-1.2652459
Mean8.6837199
Median Absolute Deviation (MAD)4.822
Skewness0.070627975
Sum32494.48
Variance29.14895
MonotonicityNot monotonic
2023-12-12T09:39:22.289294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 86
 
2.3%
15.312 6
 
0.2%
5.804 5
 
0.1%
8.424 5
 
0.1%
4.74 5
 
0.1%
4.068 5
 
0.1%
13.84 5
 
0.1%
5.616 5
 
0.1%
5.86 5
 
0.1%
4.42 5
 
0.1%
Other values (2501) 3610
96.5%
ValueCountFrequency (%)
0.0 86
2.3%
0.004 4
 
0.1%
0.008 2
 
0.1%
0.016 2
 
0.1%
0.024 1
 
< 0.1%
0.028 2
 
0.1%
0.032 1
 
< 0.1%
0.036 1
 
< 0.1%
0.04 1
 
< 0.1%
0.044 1
 
< 0.1%
ValueCountFrequency (%)
20.756 1
< 0.1%
20.512 1
< 0.1%
20.436 1
< 0.1%
19.916 1
< 0.1%
19.844 1
< 0.1%
19.812 1
< 0.1%
19.7 1
< 0.1%
19.672 1
< 0.1%
19.588 1
< 0.1%
19.252 1
< 0.1%

18
Real number (ℝ)

ZEROS 

Distinct1524
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8956954
Minimum0
Maximum11.64
Zeros294
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:22.467822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.252
median2.2
Q35.476
95-th percentile7.3156
Maximum11.64
Range11.64
Interquartile range (IQR)5.224

Descriptive statistics

Standard deviation2.685758
Coefficient of variation (CV)0.92750021
Kurtosis-1.1922151
Mean2.8956954
Median Absolute Deviation (MAD)2.124
Skewness0.4615959
Sum10835.692
Variance7.2132962
MonotonicityNot monotonic
2023-12-12T09:39:22.638677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 294
 
7.9%
0.012 32
 
0.9%
0.004 28
 
0.7%
0.052 22
 
0.6%
0.028 20
 
0.5%
0.024 20
 
0.5%
0.02 19
 
0.5%
0.044 19
 
0.5%
0.048 19
 
0.5%
0.084 17
 
0.5%
Other values (1514) 3252
86.9%
ValueCountFrequency (%)
0.0 294
7.9%
0.004 28
 
0.7%
0.008 11
 
0.3%
0.012 32
 
0.9%
0.016 17
 
0.5%
0.02 19
 
0.5%
0.024 20
 
0.5%
0.028 20
 
0.5%
0.032 16
 
0.4%
0.036 14
 
0.4%
ValueCountFrequency (%)
11.64 1
< 0.1%
11.232 1
< 0.1%
10.816 1
< 0.1%
10.388 1
< 0.1%
10.26 1
< 0.1%
10.052 1
< 0.1%
9.708 1
< 0.1%
9.548 1
< 0.1%
9.476 1
< 0.1%
9.412 1
< 0.1%

19
Real number (ℝ)

ZEROS 

Distinct689
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5761721
Minimum0
Maximum5.184
Zeros1752
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:22.802112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.032
Q31.031
95-th percentile2.364
Maximum5.184
Range5.184
Interquartile range (IQR)1.031

Descriptive statistics

Standard deviation0.84504074
Coefficient of variation (CV)1.4666464
Kurtosis1.4869355
Mean0.5761721
Median Absolute Deviation (MAD)0.032
Skewness1.4888353
Sum2156.036
Variance0.71409386
MonotonicityNot monotonic
2023-12-12T09:39:23.004291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1752
46.8%
0.004 38
 
1.0%
0.008 18
 
0.5%
0.016 16
 
0.4%
0.032 15
 
0.4%
0.028 14
 
0.4%
0.064 12
 
0.3%
0.056 12
 
0.3%
0.052 11
 
0.3%
0.084 11
 
0.3%
Other values (679) 1843
49.3%
ValueCountFrequency (%)
0.0 1752
46.8%
0.004 38
 
1.0%
0.008 18
 
0.5%
0.012 10
 
0.3%
0.016 16
 
0.4%
0.02 10
 
0.3%
0.024 10
 
0.3%
0.028 14
 
0.4%
0.032 15
 
0.4%
0.036 6
 
0.2%
ValueCountFrequency (%)
5.184 1
< 0.1%
4.396 1
< 0.1%
4.264 1
< 0.1%
4.132 1
< 0.1%
4.072 1
< 0.1%
3.984 1
< 0.1%
3.888 1
< 0.1%
3.884 1
< 0.1%
3.832 1
< 0.1%
3.68 1
< 0.1%

20
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.027151256
Minimum0
Maximum1.208
Zeros3045
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:39:23.192799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1998
Maximum1.208
Range1.208
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.084542046
Coefficient of variation (CV)3.1137435
Kurtosis35.704032
Mean0.027151256
Median Absolute Deviation (MAD)0
Skewness4.9632076
Sum101.6
Variance0.0071473575
MonotonicityNot monotonic
2023-12-12T09:39:23.362806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3045
81.4%
0.004 28
 
0.7%
0.008 25
 
0.7%
0.032 19
 
0.5%
0.04 18
 
0.5%
0.016 17
 
0.5%
0.02 16
 
0.4%
0.028 16
 
0.4%
0.012 15
 
0.4%
0.036 15
 
0.4%
Other values (111) 528
 
14.1%
ValueCountFrequency (%)
0.0 3045
81.4%
0.004 28
 
0.7%
0.008 25
 
0.7%
0.012 15
 
0.4%
0.016 17
 
0.5%
0.02 16
 
0.4%
0.024 13
 
0.3%
0.028 16
 
0.4%
0.032 19
 
0.5%
0.036 15
 
0.4%
ValueCountFrequency (%)
1.208 1
< 0.1%
1.092 1
< 0.1%
0.932 1
< 0.1%
0.768 1
< 0.1%
0.76 1
< 0.1%
0.712 1
< 0.1%
0.66 1
< 0.1%
0.644 1
< 0.1%
0.628 1
< 0.1%
0.624 1
< 0.1%

21
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0.0
3741 
0.052
 
1

Length

Max length5
Median length3
Mean length3.0005345
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 3741
> 99.9%
0.052 1
 
< 0.1%

Length

2023-12-12T09:39:23.564579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:23.674786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3741
> 99.9%
0.052 1
 
< 0.1%

22
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:23.787562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:23.881936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

23
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:24.007880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:24.140358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

24
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:39:24.247658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:24.367916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
02013-01-011104.84.025.54025.540.1000000.00.00.00.745.3686.92824.1215.50425.5416.8726.7482.880.10.00.00.0000
12013-01-021230.2610.037.624037.6240.22000000.00.00.07.3222.74831.63636.337.62435.86430.3620.8087.380.220.00.00.0000
22013-01-031216.6089.040.208040.2080.204000000.00.00.07.02415.1231.18838.4640.20837.6831.00411.7683.9520.2040.00.00.0000
32013-01-041235.98410.039.044039.0440.188000000.00.00.09.15226.15633.91238.38439.04431.71627.70420.8568.8720.1880.00.00.0000
42013-01-051233.85610.038.696038.6960.216000000.00.00.08.81225.36833.73237.77238.69633.33227.18419.5849.160.2160.00.00.0000
52013-01-061211.2969.035.184035.1840.284000000.00.00.07.33221.09628.48832.90835.18433.5227.67218.426.3920.2840.00.00.0000
62013-01-071222.6089.036.308036.3080.336000000.00.00.07.40422.4831.55632.12836.30834.30429.45620.9567.680.3360.00.00.0000
72013-01-081217.5529.035.636035.6360.34000000.00.00.06.8421.37230.13234.47635.63633.42828.1619.647.5280.340.00.00.0000
82013-01-091237.62810.039.216039.2160.012000000.00.00.0127.13618.73630.12437.61639.21637.5632.6424.15210.080.3560.00.00.0000
92013-01-101246.12810.038.62038.620.348000000.00.00.08.33624.533.20837.4438.6236.94432.19624.11210.4240.3480.00.00.0000
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
37322023-03-22139.4961.6467.3207.320.1000000.00.00.02.6045.0045.1167.325.0643.5284.8924.5281.3160.1240.00.00.0000
37332023-03-23142.4081.76713.736013.7360.4000000.00.00.00.00.87.58813.73610.5444.1562.6082.5360.440.00.00.00.0000
37342023-03-24120.560.8575.4405.440.1000000.00.00.00.00.8563.0364.0565.441.7122.4121.8041.1440.10.00.00.0000
37352023-03-251110.2524.59422.132022.1320.0000000.00.0442.8649.5528.64415.91222.13221.08813.30810.0124.6681.6320.3960.00.00.0000
37362023-03-261206.7168.61334.688034.6880.5000000.00.02.2127.4613.64425.41230.0834.68831.23219.66420.59615.2326.0120.4840.00.0000
37372023-03-271275.0411.4637.264037.2640.0000000.00.0045.03620.429.18434.2636.80837.26435.31631.20424.64815.5565.0560.3040.00.0000
37382023-03-281236.7569.86534.948034.9480.0000000.00.025.73219.2827.57632.3834.94834.83629.17223.25215.129.6084.440.3920.00.0000
37392023-03-291250.35610.43235.148035.1480.0000000.00.0445.79217.99226.08832.4635.14834.6631.52426.82421.64413.3044.50.3760.00.0000
37402023-03-301181.5927.56626.168026.1680.2000000.00.245.35612.98819.11226.16821.5224.57225.97616.58816.29.023.60.2520.00.0000
37412023-03-311239.5849.98332.092032.0920.3000000.00.2525.60417.83226.98826.43628.4632.09230.97229.45222.713.924.5520.3240.00.0000