Overview

Dataset statistics

Number of variables32
Number of observations1916
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory537.1 KiB
Average record size in memory287.1 B

Variable types

DateTime1
Categorical8
Numeric23

Alerts

최소(kw) has constant value ""Constant
2 has constant value ""Constant
3 has constant value ""Constant
4 has constant value ""Constant
5 has constant value ""Constant
1 is highly imbalanced (99.2%)Imbalance
24 is highly imbalanced (99.0%)Imbalance
23 is highly skewed (γ1 = 24.61888889)Skewed
년월일 has unique valuesUnique
6 has 1682 (87.8%) zerosZeros
7 has 1064 (55.5%) zerosZeros
8 has 415 (21.7%) zerosZeros
9 has 63 (3.3%) zerosZeros
10 has 37 (1.9%) zerosZeros
11 has 29 (1.5%) zerosZeros
12 has 53 (2.8%) zerosZeros
13 has 69 (3.6%) zerosZeros
14 has 81 (4.2%) zerosZeros
15 has 54 (2.8%) zerosZeros
16 has 39 (2.0%) zerosZeros
17 has 50 (2.6%) zerosZeros
18 has 116 (6.1%) zerosZeros
19 has 528 (27.6%) zerosZeros
20 has 945 (49.3%) zerosZeros
21 has 1371 (71.6%) zerosZeros
22 has 1494 (78.0%) zerosZeros
23 has 1809 (94.4%) zerosZeros

Reproduction

Analysis started2024-04-18 04:59:56.075990
Analysis finished2024-04-18 04:59:56.475885
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

UNIQUE 

Distinct1916
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
Minimum2018-01-01 00:00:00
Maximum2023-03-31 00:00:00
2024-04-18T13:59:56.534811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:59:56.654857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
1
1551 
<NA>
365 

Length

Max length4
Median length1
Mean length1.5715031
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1551
80.9%
<NA> 365
 
19.1%

Length

2024-04-18T13:59:56.787248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:56.889586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1551
80.9%
na 365
 
19.1%

총량(kw)
Real number (ℝ)

Distinct1695
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5268.8129
Minimum0
Maximum11240.4
Zeros19
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:56.994031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile822.9
Q13390
median5360.4
Q37180.8
95-th percentile9390.6
Maximum11240.4
Range11240.4
Interquartile range (IQR)3790.8

Descriptive statistics

Standard deviation2597.939
Coefficient of variation (CV)0.49307862
Kurtosis-0.76613093
Mean5268.8129
Median Absolute Deviation (MAD)1908.6
Skewness-0.087124944
Sum10095046
Variance6749287.1
MonotonicityNot monotonic
2024-04-18T13:59:57.130621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
1.0%
7562.4 4
 
0.2%
7114.8 3
 
0.2%
4993.2 3
 
0.2%
5535.6 3
 
0.2%
6205.2 3
 
0.2%
6532.8 3
 
0.2%
4227.6 3
 
0.2%
6471.6 3
 
0.2%
7803.6 3
 
0.2%
Other values (1685) 1869
97.5%
ValueCountFrequency (%)
0.0 19
1.0%
21.6 1
 
0.1%
37.2 1
 
0.1%
48.0 1
 
0.1%
85.2 1
 
0.1%
124.8 1
 
0.1%
134.4 1
 
0.1%
142.8 1
 
0.1%
150.0 1
 
0.1%
183.6 1
 
0.1%
ValueCountFrequency (%)
11240.4 1
0.1%
11151.6 1
0.1%
11005.2 1
0.1%
10983.6 1
0.1%
10884.0 1
0.1%
10717.2 1
0.1%
10670.4 1
0.1%
10647.6 1
0.1%
10622.4 1
0.1%
10588.8 1
0.1%

평균(kw)
Real number (ℝ)

Distinct1249
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.54303
Minimum0
Maximum468
Zeros19
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:57.296916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q1141.2625
median223.575
Q3299.0875
95-th percentile391.25
Maximum468
Range468
Interquartile range (IQR)157.825

Descriptive statistics

Standard deviation108.24712
Coefficient of variation (CV)0.49305652
Kurtosis-0.7656096
Mean219.54303
Median Absolute Deviation (MAD)79.6
Skewness-0.087079014
Sum420644.45
Variance11717.44
MonotonicityNot monotonic
2024-04-18T13:59:57.426593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
1.0%
252.0 7
 
0.4%
268.0 7
 
0.4%
367.0 7
 
0.4%
214.0 7
 
0.4%
164.0 7
 
0.4%
334.0 7
 
0.4%
209.0 6
 
0.3%
295.0 6
 
0.3%
133.0 6
 
0.3%
Other values (1239) 1837
95.9%
ValueCountFrequency (%)
0.0 19
1.0%
0.9 1
 
0.1%
1.55 1
 
0.1%
2.0 1
 
0.1%
3.55 1
 
0.1%
5.0 1
 
0.1%
5.6 1
 
0.1%
5.95 1
 
0.1%
6.0 1
 
0.1%
7.65 1
 
0.1%
ValueCountFrequency (%)
468.0 1
0.1%
465.0 1
0.1%
458.55 1
0.1%
458.0 1
0.1%
454.0 1
0.1%
447.0 1
0.1%
445.0 1
0.1%
444.0 1
0.1%
443.0 1
0.1%
441.1 1
0.1%

최대(kw)
Real number (ℝ)

Distinct751
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean960.19353
Minimum0
Maximum2158.8
Zeros19
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:57.576771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile213.6
Q1792
median1107.6
Q31162.8
95-th percentile1324.8
Maximum2158.8
Range2158.8
Interquartile range (IQR)370.8

Descriptive statistics

Standard deviation347.79919
Coefficient of variation (CV)0.3622178
Kurtosis0.74363166
Mean960.19353
Median Absolute Deviation (MAD)130.8
Skewness-0.84076819
Sum1839730.8
Variance120964.28
MonotonicityNot monotonic
2024-04-18T13:59:57.723857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1162.8 37
 
1.9%
1159.2 28
 
1.5%
1156.8 28
 
1.5%
1161.6 28
 
1.5%
1160.4 27
 
1.4%
1155.6 21
 
1.1%
1141.2 21
 
1.1%
1131.6 21
 
1.1%
1158.0 19
 
1.0%
0.0 19
 
1.0%
Other values (741) 1667
87.0%
ValueCountFrequency (%)
0.0 19
1.0%
21.6 1
 
0.1%
27.6 1
 
0.1%
28.8 1
 
0.1%
30.0 1
 
0.1%
32.4 2
 
0.1%
37.2 1
 
0.1%
40.8 1
 
0.1%
45.6 1
 
0.1%
51.6 2
 
0.1%
ValueCountFrequency (%)
2158.8 1
0.1%
2134.8 1
0.1%
2122.8 1
0.1%
2121.6 1
0.1%
2092.8 1
0.1%
2090.4 1
0.1%
2036.4 1
0.1%
2035.2 1
0.1%
2008.8 1
0.1%
1984.8 1
0.1%

최소(kw)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0
1916 

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 1916
100.0%

Length

2024-04-18T13:59:57.846943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:57.932787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1916
100.0%

최대(시간별_kw)
Real number (ℝ)

Distinct751
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean960.19353
Minimum0
Maximum2158.8
Zeros19
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:58.036435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile213.6
Q1792
median1107.6
Q31162.8
95-th percentile1324.8
Maximum2158.8
Range2158.8
Interquartile range (IQR)370.8

Descriptive statistics

Standard deviation347.79919
Coefficient of variation (CV)0.3622178
Kurtosis0.74363166
Mean960.19353
Median Absolute Deviation (MAD)130.8
Skewness-0.84076819
Sum1839730.8
Variance120964.28
MonotonicityNot monotonic
2024-04-18T13:59:58.166569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1162.8 37
 
1.9%
1159.2 28
 
1.5%
1156.8 28
 
1.5%
1161.6 28
 
1.5%
1160.4 27
 
1.4%
1155.6 21
 
1.1%
1141.2 21
 
1.1%
1131.6 21
 
1.1%
1158.0 19
 
1.0%
0.0 19
 
1.0%
Other values (741) 1667
87.0%
ValueCountFrequency (%)
0.0 19
1.0%
21.6 1
 
0.1%
27.6 1
 
0.1%
28.8 1
 
0.1%
30.0 1
 
0.1%
32.4 2
 
0.1%
37.2 1
 
0.1%
40.8 1
 
0.1%
45.6 1
 
0.1%
51.6 2
 
0.1%
ValueCountFrequency (%)
2158.8 1
0.1%
2134.8 1
0.1%
2122.8 1
0.1%
2121.6 1
0.1%
2092.8 1
0.1%
2090.4 1
0.1%
2036.4 1
0.1%
2035.2 1
0.1%
2008.8 1
0.1%
1984.8 1
0.1%

최소(시간별_kw)
Real number (ℝ)

Distinct64
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.403758
Minimum0
Maximum142.8
Zeros19
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:58.284590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q12.4
median4.8
Q315.6
95-th percentile42
Maximum142.8
Range142.8
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation14.12907
Coefficient of variation (CV)1.2389837
Kurtosis7.5993438
Mean11.403758
Median Absolute Deviation (MAD)3.6
Skewness2.27567
Sum21849.6
Variance199.63061
MonotonicityNot monotonic
2024-04-18T13:59:58.411842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 414
21.6%
2.4 229
12.0%
3.6 165
 
8.6%
4.8 132
 
6.9%
6.0 88
 
4.6%
7.2 81
 
4.2%
8.4 71
 
3.7%
9.6 62
 
3.2%
10.8 56
 
2.9%
12.0 51
 
2.7%
Other values (54) 567
29.6%
ValueCountFrequency (%)
0.0 19
 
1.0%
1.2 414
21.6%
2.4 229
12.0%
3.6 165
 
8.6%
4.8 132
 
6.9%
6.0 88
 
4.6%
7.2 81
 
4.2%
8.4 71
 
3.7%
9.6 62
 
3.2%
10.8 56
 
2.9%
ValueCountFrequency (%)
142.8 1
 
0.1%
90.0 2
0.1%
78.0 1
 
0.1%
76.8 2
0.1%
74.4 1
 
0.1%
73.2 3
0.2%
70.8 2
0.1%
69.6 2
0.1%
67.2 1
 
0.1%
66.0 1
 
0.1%

1
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0.0
1914 
1.2
 
1
2.4
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 1914
99.9%
1.2 1
 
0.1%
2.4 1
 
0.1%

Length

2024-04-18T13:59:58.546204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:58.643795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1914
99.9%
1.2 1
 
0.1%
2.4 1
 
0.1%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0
1916 

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 1916
100.0%

Length

2024-04-18T13:59:58.745471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:58.829225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1916
100.0%

3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0
1916 

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 1916
100.0%

Length

2024-04-18T13:59:58.917031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:59.005197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1916
100.0%

4
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0
1916 

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 1916
100.0%

Length

2024-04-18T13:59:59.097661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:59.185652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1916
100.0%

5
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0
1916 

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 1916
100.0%

Length

2024-04-18T13:59:59.278182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:59:59.370989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1916
100.0%

6
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56430063
Minimum0
Maximum18
Zeros1682
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:59.455304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.6
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9780464
Coefficient of variation (CV)3.505306
Kurtosis22.941618
Mean0.56430063
Median Absolute Deviation (MAD)0
Skewness4.5115618
Sum1081.2
Variance3.9126674
MonotonicityNot monotonic
2024-04-18T13:59:59.564454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 1682
87.8%
1.2 65
 
3.4%
2.4 38
 
2.0%
3.6 36
 
1.9%
4.8 20
 
1.0%
6.0 15
 
0.8%
8.4 14
 
0.7%
9.6 13
 
0.7%
7.2 12
 
0.6%
10.8 7
 
0.4%
Other values (5) 14
 
0.7%
ValueCountFrequency (%)
0.0 1682
87.8%
1.2 65
 
3.4%
2.4 38
 
2.0%
3.6 36
 
1.9%
4.8 20
 
1.0%
6.0 15
 
0.8%
7.2 12
 
0.6%
8.4 14
 
0.7%
9.6 13
 
0.7%
10.8 7
 
0.4%
ValueCountFrequency (%)
18.0 2
 
0.1%
16.8 1
 
0.1%
14.4 1
 
0.1%
13.2 4
 
0.2%
12.0 6
 
0.3%
10.8 7
0.4%
9.6 13
0.7%
8.4 14
0.7%
7.2 12
0.6%
6.0 15
0.8%

7
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.964927
Minimum0
Maximum121.2
Zeros1064
Zeros (%)55.5%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:59.696023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.4
95-th percentile61.2
Maximum121.2
Range121.2
Interquartile range (IQR)14.4

Descriptive statistics

Standard deviation21.370836
Coefficient of variation (CV)1.7861234
Kurtosis3.7495419
Mean11.964927
Median Absolute Deviation (MAD)0
Skewness2.0492169
Sum22924.8
Variance456.71263
MonotonicityNot monotonic
2024-04-18T13:59:59.848666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1064
55.5%
1.2 88
 
4.6%
2.4 49
 
2.6%
4.8 38
 
2.0%
6.0 32
 
1.7%
3.6 30
 
1.6%
7.2 24
 
1.3%
10.8 22
 
1.1%
8.4 22
 
1.1%
19.2 21
 
1.1%
Other values (72) 526
27.5%
ValueCountFrequency (%)
0.0 1064
55.5%
1.2 88
 
4.6%
2.4 49
 
2.6%
3.6 30
 
1.6%
4.8 38
 
2.0%
6.0 32
 
1.7%
7.2 24
 
1.3%
8.4 22
 
1.1%
9.6 19
 
1.0%
10.8 22
 
1.1%
ValueCountFrequency (%)
121.2 2
0.1%
111.6 1
 
0.1%
109.2 1
 
0.1%
105.6 1
 
0.1%
104.4 1
 
0.1%
100.8 3
0.2%
99.6 1
 
0.1%
98.4 2
0.1%
92.4 4
0.2%
90.0 2
0.1%

8
Real number (ℝ)

ZEROS 

Distinct200
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.323382
Minimum0
Maximum294
Zeros415
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T13:59:59.978685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2
median28.8
Q392.4
95-th percentile188.4
Maximum294
Range294
Interquartile range (IQR)91.2

Descriptive statistics

Standard deviation63.632918
Coefficient of variation (CV)1.1501993
Kurtosis0.1006936
Mean55.323382
Median Absolute Deviation (MAD)28.8
Skewness1.0926661
Sum105999.6
Variance4049.1482
MonotonicityNot monotonic
2024-04-18T14:00:00.118386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 415
 
21.7%
1.2 71
 
3.7%
3.6 42
 
2.2%
2.4 39
 
2.0%
4.8 38
 
2.0%
8.4 33
 
1.7%
9.6 28
 
1.5%
6.0 27
 
1.4%
7.2 24
 
1.3%
26.4 24
 
1.3%
Other values (190) 1175
61.3%
ValueCountFrequency (%)
0.0 415
21.7%
1.2 71
 
3.7%
2.4 39
 
2.0%
3.6 42
 
2.2%
4.8 38
 
2.0%
6.0 27
 
1.4%
7.2 24
 
1.3%
8.4 33
 
1.7%
9.6 28
 
1.5%
10.8 18
 
0.9%
ValueCountFrequency (%)
294.0 1
0.1%
255.6 1
0.1%
252.0 1
0.1%
247.2 1
0.1%
246.0 1
0.1%
242.4 1
0.1%
240.0 1
0.1%
238.8 1
0.1%
235.2 2
0.1%
234.0 1
0.1%

9
Real number (ℝ)

ZEROS 

Distinct414
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.68914
Minimum0
Maximum552
Zeros63
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:00.265189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q151.3
median142.2
Q3286.8
95-th percentile425.1
Maximum552
Range552
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation139.5257
Coefficient of variation (CV)0.79416234
Kurtosis-0.82044044
Mean175.68914
Median Absolute Deviation (MAD)102.6
Skewness0.58884904
Sum336620.4
Variance19467.421
MonotonicityNot monotonic
2024-04-18T14:00:00.436354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 63
 
3.3%
24.0 21
 
1.1%
48.0 16
 
0.8%
70.8 16
 
0.8%
51.6 15
 
0.8%
34.8 15
 
0.8%
40.8 14
 
0.7%
16.8 14
 
0.7%
86.4 14
 
0.7%
50.4 14
 
0.7%
Other values (404) 1714
89.5%
ValueCountFrequency (%)
0.0 63
3.3%
1.2 5
 
0.3%
2.4 4
 
0.2%
3.6 8
 
0.4%
4.8 11
 
0.6%
6.0 6
 
0.3%
7.2 3
 
0.2%
8.4 5
 
0.3%
9.6 3
 
0.2%
10.8 8
 
0.4%
ValueCountFrequency (%)
552.0 1
0.1%
543.6 1
0.1%
538.8 1
0.1%
537.6 1
0.1%
532.8 1
0.1%
522.0 1
0.1%
520.8 1
0.1%
519.6 1
0.1%
516.0 1
0.1%
514.8 1
0.1%

10
Real number (ℝ)

ZEROS 

Distinct635
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.73111
Minimum0
Maximum873.6
Zeros37
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:00.576890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q1190.8
median361.2
Q3554.4
95-th percentile722.7
Maximum873.6
Range873.6
Interquartile range (IQR)363.6

Descriptive statistics

Standard deviation221.10328
Coefficient of variation (CV)0.59639798
Kurtosis-1.0478669
Mean370.73111
Median Absolute Deviation (MAD)183.6
Skewness0.08318312
Sum710320.8
Variance48886.661
MonotonicityNot monotonic
2024-04-18T14:00:00.709141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
 
1.9%
75.6 10
 
0.5%
404.4 10
 
0.5%
362.4 9
 
0.5%
255.6 8
 
0.4%
626.4 8
 
0.4%
322.8 8
 
0.4%
340.8 8
 
0.4%
495.6 8
 
0.4%
212.4 8
 
0.4%
Other values (625) 1802
94.1%
ValueCountFrequency (%)
0.0 37
1.9%
1.2 4
 
0.2%
3.6 2
 
0.1%
4.8 4
 
0.2%
6.0 6
 
0.3%
7.2 5
 
0.3%
8.4 3
 
0.2%
9.6 3
 
0.2%
10.8 5
 
0.3%
12.0 5
 
0.3%
ValueCountFrequency (%)
873.6 1
0.1%
870.0 1
0.1%
867.6 1
0.1%
858.0 1
0.1%
855.6 1
0.1%
852.0 2
0.1%
847.2 1
0.1%
842.4 1
0.1%
830.4 1
0.1%
824.4 1
0.1%

11
Real number (ℝ)

ZEROS 

Distinct684
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean398.01921
Minimum0
Maximum1143.6
Zeros29
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:00.829942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.2
Q1106.8
median219.6
Q3724.8
95-th percentile977.4
Maximum1143.6
Range1143.6
Interquartile range (IQR)618

Descriptive statistics

Standard deviation344.02022
Coefficient of variation (CV)0.86433071
Kurtosis-1.3137987
Mean398.01921
Median Absolute Deviation (MAD)195.6
Skewness0.4864444
Sum762604.8
Variance118349.91
MonotonicityNot monotonic
2024-04-18T14:00:00.964182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
1.5%
21.6 21
 
1.1%
20.4 17
 
0.9%
135.6 17
 
0.9%
16.8 15
 
0.8%
19.2 15
 
0.8%
133.2 15
 
0.8%
130.8 14
 
0.7%
152.4 14
 
0.7%
18.0 14
 
0.7%
Other values (674) 1745
91.1%
ValueCountFrequency (%)
0.0 29
1.5%
1.2 7
 
0.4%
2.4 1
 
0.1%
6.0 2
 
0.1%
7.2 1
 
0.1%
8.4 1
 
0.1%
9.6 1
 
0.1%
10.8 2
 
0.1%
12.0 2
 
0.1%
13.2 4
 
0.2%
ValueCountFrequency (%)
1143.6 1
0.1%
1136.4 1
0.1%
1126.8 1
0.1%
1123.2 2
0.1%
1116.0 1
0.1%
1107.6 1
0.1%
1106.4 1
0.1%
1104.0 1
0.1%
1102.8 1
0.1%
1101.6 1
0.1%

12
Real number (ℝ)

ZEROS 

Distinct742
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.63653
Minimum0
Maximum1332
Zeros53
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:01.097347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.4
Q1113.7
median261
Q3908.4
95-th percentile1158
Maximum1332
Range1332
Interquartile range (IQR)794.7

Descriptive statistics

Standard deviation424.09408
Coefficient of variation (CV)0.88052722
Kurtosis-1.4801798
Mean481.63653
Median Absolute Deviation (MAD)255
Skewness0.38895719
Sum922815.6
Variance179855.79
MonotonicityNot monotonic
2024-04-18T14:00:01.234365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
 
2.8%
1.2 34
 
1.8%
140.4 18
 
0.9%
135.6 18
 
0.9%
142.8 18
 
0.9%
159.6 18
 
0.9%
141.6 16
 
0.8%
2.4 16
 
0.8%
150.0 15
 
0.8%
145.2 15
 
0.8%
Other values (732) 1695
88.5%
ValueCountFrequency (%)
0.0 53
2.8%
1.2 34
1.8%
2.4 16
 
0.8%
3.6 10
 
0.5%
4.8 8
 
0.4%
6.0 8
 
0.4%
7.2 10
 
0.5%
8.4 4
 
0.2%
9.6 7
 
0.4%
10.8 11
 
0.6%
ValueCountFrequency (%)
1332.0 1
0.1%
1322.4 1
0.1%
1308.0 1
0.1%
1306.8 1
0.1%
1305.6 1
0.1%
1293.6 1
0.1%
1290.0 1
0.1%
1285.2 1
0.1%
1284.0 1
0.1%
1282.8 1
0.1%

13
Real number (ℝ)

ZEROS 

Distinct747
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean527.49833
Minimum0
Maximum1446
Zeros69
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:01.364339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q1118.8
median304.2
Q31001.1
95-th percentile1257.9
Maximum1446
Range1446
Interquartile range (IQR)882.3

Descriptive statistics

Standard deviation467.00354
Coefficient of variation (CV)0.88531758
Kurtosis-1.5250694
Mean527.49833
Median Absolute Deviation (MAD)297
Skewness0.36568132
Sum1010686.8
Variance218092.31
MonotonicityNot monotonic
2024-04-18T14:00:01.519518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 69
 
3.6%
1.2 36
 
1.9%
154.8 22
 
1.1%
158.4 16
 
0.8%
163.2 15
 
0.8%
2.4 14
 
0.7%
166.8 14
 
0.7%
168.0 13
 
0.7%
159.6 13
 
0.7%
164.4 12
 
0.6%
Other values (737) 1692
88.3%
ValueCountFrequency (%)
0.0 69
3.6%
1.2 36
1.9%
2.4 14
 
0.7%
3.6 11
 
0.6%
4.8 9
 
0.5%
6.0 3
 
0.2%
7.2 10
 
0.5%
8.4 2
 
0.1%
9.6 7
 
0.4%
10.8 8
 
0.4%
ValueCountFrequency (%)
1446.0 1
0.1%
1429.2 1
0.1%
1411.2 1
0.1%
1408.8 1
0.1%
1396.8 1
0.1%
1395.6 1
0.1%
1392.0 1
0.1%
1390.8 1
0.1%
1383.6 1
0.1%
1382.4 1
0.1%

14
Real number (ℝ)

ZEROS 

Distinct755
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.11399
Minimum0
Maximum1479.6
Zeros81
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:01.654869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q1120
median293.4
Q3967.2
95-th percentile1266.9
Maximum1479.6
Range1479.6
Interquartile range (IQR)847.2

Descriptive statistics

Standard deviation463.36413
Coefficient of variation (CV)0.89260576
Kurtosis-1.4528076
Mean519.11399
Median Absolute Deviation (MAD)288.6
Skewness0.40764211
Sum994622.4
Variance214706.32
MonotonicityNot monotonic
2024-04-18T14:00:01.801801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 81
 
4.2%
1.2 33
 
1.7%
2.4 18
 
0.9%
168.0 18
 
0.9%
150.0 16
 
0.8%
151.2 15
 
0.8%
148.8 15
 
0.8%
7.2 15
 
0.8%
142.8 14
 
0.7%
162.0 13
 
0.7%
Other values (745) 1678
87.6%
ValueCountFrequency (%)
0.0 81
4.2%
1.2 33
1.7%
2.4 18
 
0.9%
3.6 8
 
0.4%
4.8 7
 
0.4%
6.0 7
 
0.4%
7.2 15
 
0.8%
8.4 11
 
0.6%
9.6 3
 
0.2%
10.8 6
 
0.3%
ValueCountFrequency (%)
1479.6 1
0.1%
1472.4 1
0.1%
1444.8 1
0.1%
1416.0 1
0.1%
1404.0 1
0.1%
1388.4 2
0.1%
1387.2 1
0.1%
1386.0 1
0.1%
1384.8 1
0.1%
1380.0 1
0.1%

15
Real number (ℝ)

ZEROS 

Distinct781
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean475.36534
Minimum0
Maximum1387.2
Zeros54
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:01.948638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q1114.9
median307.2
Q3847.2
95-th percentile1196.7
Maximum1387.2
Range1387.2
Interquartile range (IQR)732.3

Descriptive statistics

Standard deviation420.3824
Coefficient of variation (CV)0.8843354
Kurtosis-1.2682256
Mean475.36534
Median Absolute Deviation (MAD)278.4
Skewness0.49414138
Sum910800
Variance176721.37
MonotonicityNot monotonic
2024-04-18T14:00:03.083431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
2.8%
1.2 21
 
1.1%
2.4 17
 
0.9%
140.4 14
 
0.7%
126.0 14
 
0.7%
129.6 13
 
0.7%
132.0 13
 
0.7%
4.8 13
 
0.7%
164.4 12
 
0.6%
134.4 12
 
0.6%
Other values (771) 1733
90.4%
ValueCountFrequency (%)
0.0 54
2.8%
1.2 21
 
1.1%
2.4 17
 
0.9%
3.6 4
 
0.2%
4.8 13
 
0.7%
6.0 10
 
0.5%
7.2 11
 
0.6%
8.4 9
 
0.5%
9.6 5
 
0.3%
12.0 8
 
0.4%
ValueCountFrequency (%)
1387.2 1
0.1%
1377.6 1
0.1%
1376.4 1
0.1%
1351.2 1
0.1%
1342.8 1
0.1%
1324.8 1
0.1%
1317.6 1
0.1%
1316.4 1
0.1%
1315.2 1
0.1%
1309.2 1
0.1%

16
Real number (ℝ)

ZEROS 

Distinct749
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433.36722
Minimum0
Maximum1224
Zeros39
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:03.216129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6
Q1104.4
median334.2
Q3763.5
95-th percentile1053.6
Maximum1224
Range1224
Interquartile range (IQR)659.1

Descriptive statistics

Standard deviation364.41057
Coefficient of variation (CV)0.84088171
Kurtosis-1.2638439
Mean433.36722
Median Absolute Deviation (MAD)264.6
Skewness0.44741331
Sum830331.6
Variance132795.07
MonotonicityNot monotonic
2024-04-18T14:00:03.354548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
2.0%
1.2 16
 
0.8%
123.6 15
 
0.8%
74.4 13
 
0.7%
106.8 13
 
0.7%
79.2 13
 
0.7%
139.2 11
 
0.6%
4.8 11
 
0.6%
129.6 11
 
0.6%
108.0 11
 
0.6%
Other values (739) 1763
92.0%
ValueCountFrequency (%)
0.0 39
2.0%
1.2 16
0.8%
2.4 7
 
0.4%
3.6 7
 
0.4%
4.8 11
 
0.6%
6.0 4
 
0.2%
7.2 4
 
0.2%
8.4 6
 
0.3%
9.6 4
 
0.2%
10.8 4
 
0.2%
ValueCountFrequency (%)
1224.0 1
0.1%
1222.8 1
0.1%
1212.0 1
0.1%
1202.4 1
0.1%
1185.6 1
0.1%
1180.8 1
0.1%
1168.8 1
0.1%
1161.6 1
0.1%
1156.8 1
0.1%
1150.8 1
0.1%

17
Real number (ℝ)

ZEROS 

Distinct716
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.17307
Minimum0
Maximum2158.8
Zeros50
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:03.504402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1127.2
median334.8
Q3626.7
95-th percentile852.6
Maximum2158.8
Range2158.8
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation324.10866
Coefficient of variation (CV)0.81603887
Kurtosis3.9189215
Mean397.17307
Median Absolute Deviation (MAD)238.8
Skewness1.3528011
Sum760983.6
Variance105046.43
MonotonicityNot monotonic
2024-04-18T14:00:03.680980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 50
 
2.6%
85.2 9
 
0.5%
44.4 8
 
0.4%
58.8 8
 
0.4%
66.0 8
 
0.4%
226.8 8
 
0.4%
7.2 8
 
0.4%
42.0 7
 
0.4%
67.2 7
 
0.4%
252.0 7
 
0.4%
Other values (706) 1796
93.7%
ValueCountFrequency (%)
0.0 50
2.6%
1.2 5
 
0.3%
2.4 1
 
0.1%
3.6 6
 
0.3%
4.8 4
 
0.2%
6.0 4
 
0.2%
7.2 8
 
0.4%
8.4 5
 
0.3%
9.6 5
 
0.3%
10.8 5
 
0.3%
ValueCountFrequency (%)
2158.8 1
0.1%
2134.8 1
0.1%
2122.8 1
0.1%
2121.6 1
0.1%
2092.8 1
0.1%
2090.4 1
0.1%
2036.4 1
0.1%
2035.2 1
0.1%
2008.8 1
0.1%
1984.8 1
0.1%

18
Real number (ℝ)

ZEROS 

Distinct710
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean398.69248
Minimum0
Maximum1936.8
Zeros116
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:03.810592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q157.3
median397.8
Q3558
95-th percentile1125.9
Maximum1936.8
Range1936.8
Interquartile range (IQR)500.7

Descriptive statistics

Standard deviation361.69352
Coefficient of variation (CV)0.90719924
Kurtosis1.0549558
Mean398.69248
Median Absolute Deviation (MAD)279
Skewness1.0096361
Sum763894.8
Variance130822.2
MonotonicityNot monotonic
2024-04-18T14:00:03.991629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 116
 
6.1%
1.2 36
 
1.9%
2.4 28
 
1.5%
463.2 26
 
1.4%
3.6 21
 
1.1%
4.8 18
 
0.9%
464.4 18
 
0.9%
13.2 16
 
0.8%
456.0 16
 
0.8%
457.2 15
 
0.8%
Other values (700) 1606
83.8%
ValueCountFrequency (%)
0.0 116
6.1%
1.2 36
 
1.9%
2.4 28
 
1.5%
3.6 21
 
1.1%
4.8 18
 
0.9%
6.0 11
 
0.6%
7.2 8
 
0.4%
8.4 11
 
0.6%
9.6 6
 
0.3%
10.8 9
 
0.5%
ValueCountFrequency (%)
1936.8 1
0.1%
1918.8 1
0.1%
1884.0 1
0.1%
1882.8 1
0.1%
1881.6 1
0.1%
1869.6 1
0.1%
1864.8 1
0.1%
1830.0 1
0.1%
1826.4 1
0.1%
1790.4 1
0.1%

19
Real number (ℝ)

ZEROS 

Distinct469
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.22693
Minimum0
Maximum1640.4
Zeros528
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:04.154980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96.6
Q3477.6
95-th percentile1164
Maximum1640.4
Range1640.4
Interquartile range (IQR)477.6

Descriptive statistics

Standard deviation371.22463
Coefficient of variation (CV)1.3106968
Kurtosis1.603791
Mean283.22693
Median Absolute Deviation (MAD)96.6
Skewness1.4964837
Sum542662.8
Variance137807.73
MonotonicityNot monotonic
2024-04-18T14:00:04.286257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 528
27.6%
477.6 95
 
5.0%
478.8 72
 
3.8%
475.2 37
 
1.9%
2.4 35
 
1.8%
1.2 27
 
1.4%
3.6 21
 
1.1%
474.0 21
 
1.1%
476.4 18
 
0.9%
6.0 18
 
0.9%
Other values (459) 1044
54.5%
ValueCountFrequency (%)
0.0 528
27.6%
1.2 27
 
1.4%
2.4 35
 
1.8%
3.6 21
 
1.1%
4.8 16
 
0.8%
6.0 18
 
0.9%
7.2 11
 
0.6%
8.4 5
 
0.3%
9.6 7
 
0.4%
10.8 10
 
0.5%
ValueCountFrequency (%)
1640.4 1
0.1%
1635.6 1
0.1%
1627.2 1
0.1%
1597.2 1
0.1%
1593.6 1
0.1%
1592.4 1
0.1%
1568.4 2
0.1%
1519.2 1
0.1%
1482.0 1
0.1%
1466.4 1
0.1%

20
Real number (ℝ)

ZEROS 

Distinct226
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean354.86555
Minimum0
Maximum1455.6
Zeros945
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:04.418594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2
Q31128
95-th percentile1156.8
Maximum1455.6
Range1455.6
Interquartile range (IQR)1128

Descriptive statistics

Standard deviation512.59869
Coefficient of variation (CV)1.444487
Kurtosis-1.1917579
Mean354.86555
Median Absolute Deviation (MAD)1.2
Skewness0.85032325
Sum679922.4
Variance262757.42
MonotonicityNot monotonic
2024-04-18T14:00:04.552039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 945
49.3%
1131.6 40
 
2.1%
1130.4 37
 
1.9%
1141.2 34
 
1.8%
1.2 33
 
1.7%
1132.8 33
 
1.7%
1140.0 28
 
1.5%
2.4 28
 
1.5%
1134.0 27
 
1.4%
1129.2 21
 
1.1%
Other values (216) 690
36.0%
ValueCountFrequency (%)
0.0 945
49.3%
1.2 33
 
1.7%
2.4 28
 
1.5%
3.6 19
 
1.0%
4.8 13
 
0.7%
6.0 12
 
0.6%
7.2 18
 
0.9%
8.4 13
 
0.7%
9.6 9
 
0.5%
10.8 12
 
0.6%
ValueCountFrequency (%)
1455.6 1
 
0.1%
1454.4 2
0.1%
1453.2 4
0.2%
1452.0 1
 
0.1%
1432.8 1
 
0.1%
1425.6 1
 
0.1%
1423.2 1
 
0.1%
1422.0 1
 
0.1%
1419.6 1
 
0.1%
1412.4 2
0.1%

21
Real number (ℝ)

ZEROS 

Distinct216
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.92234
Minimum0
Maximum1453.2
Zeros1371
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:04.687170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3325.2
95-th percentile1159.2
Maximum1453.2
Range1453.2
Interquartile range (IQR)325.2

Descriptive statistics

Standard deviation460.94898
Coefficient of variation (CV)1.7465326
Kurtosis-0.2213879
Mean263.92234
Median Absolute Deviation (MAD)0
Skewness1.2868281
Sum505675.2
Variance212473.96
MonotonicityNot monotonic
2024-04-18T14:00:04.829369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1371
71.6%
1162.8 28
 
1.5%
1160.4 26
 
1.4%
1146.0 24
 
1.3%
1156.8 22
 
1.1%
1159.2 22
 
1.1%
1158.0 21
 
1.1%
1161.6 20
 
1.0%
1153.2 20
 
1.0%
1150.8 19
 
1.0%
Other values (206) 343
 
17.9%
ValueCountFrequency (%)
0.0 1371
71.6%
2.4 2
 
0.1%
3.6 3
 
0.2%
4.8 2
 
0.1%
8.4 1
 
0.1%
9.6 3
 
0.2%
10.8 1
 
0.1%
13.2 1
 
0.1%
25.2 1
 
0.1%
28.8 2
 
0.1%
ValueCountFrequency (%)
1453.2 2
 
0.1%
1452.0 1
 
0.1%
1201.2 1
 
0.1%
1164.0 2
 
0.1%
1162.8 28
1.5%
1161.6 20
1.0%
1160.4 26
1.4%
1159.2 22
1.1%
1158.0 21
1.1%
1156.8 22
1.1%

22
Real number (ℝ)

ZEROS 

Distinct234
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.94823
Minimum0
Maximum1160.4
Zeros1494
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:04.959465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1047
Maximum1160.4
Range1160.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation299.97018
Coefficient of variation (CV)2.5432361
Kurtosis5.2662085
Mean117.94823
Median Absolute Deviation (MAD)0
Skewness2.5566217
Sum225988.8
Variance89982.111
MonotonicityNot monotonic
2024-04-18T14:00:05.091032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1494
78.0%
3.6 14
 
0.7%
4.8 12
 
0.6%
1144.8 11
 
0.6%
2.4 11
 
0.6%
1155.6 10
 
0.5%
6.0 9
 
0.5%
9.6 9
 
0.5%
1150.8 8
 
0.4%
1159.2 7
 
0.4%
Other values (224) 331
 
17.3%
ValueCountFrequency (%)
0.0 1494
78.0%
1.2 1
 
0.1%
2.4 11
 
0.6%
3.6 14
 
0.7%
4.8 12
 
0.6%
6.0 9
 
0.5%
7.2 5
 
0.3%
8.4 4
 
0.2%
9.6 9
 
0.5%
10.8 2
 
0.1%
ValueCountFrequency (%)
1160.4 5
0.3%
1159.2 7
0.4%
1158.0 4
 
0.2%
1156.8 5
0.3%
1155.6 10
0.5%
1154.4 6
0.3%
1153.2 1
 
0.1%
1152.0 3
 
0.2%
1150.8 8
0.4%
1149.6 5
0.3%

23
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3382046
Minimum0
Maximum1158
Zeros1809
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T14:00:05.207291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.4
Maximum1158
Range1158
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.265535
Coefficient of variation (CV)11.163346
Kurtosis665.02206
Mean3.3382046
Median Absolute Deviation (MAD)0
Skewness24.618889
Sum6396
Variance1388.7201
MonotonicityNot monotonic
2024-04-18T14:00:05.319359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 1809
94.4%
42.0 28
 
1.5%
2.4 14
 
0.7%
40.8 11
 
0.6%
43.2 9
 
0.5%
55.2 8
 
0.4%
48.0 7
 
0.4%
44.4 6
 
0.3%
31.2 4
 
0.2%
45.6 3
 
0.2%
Other values (12) 17
 
0.9%
ValueCountFrequency (%)
0.0 1809
94.4%
1.2 3
 
0.2%
2.4 14
 
0.7%
3.6 2
 
0.1%
6.0 1
 
0.1%
27.6 1
 
0.1%
28.8 1
 
0.1%
31.2 4
 
0.2%
33.6 1
 
0.1%
39.6 2
 
0.1%
ValueCountFrequency (%)
1158.0 1
 
0.1%
768.0 1
 
0.1%
766.8 1
 
0.1%
56.4 1
 
0.1%
55.2 8
0.4%
54.0 2
 
0.1%
48.0 7
0.4%
45.6 3
 
0.2%
44.4 6
0.3%
43.2 9
0.5%

24
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
0.0
1913 
164.4
 
1
397.2
 
1
148.8
 
1

Length

Max length5
Median length3
Mean length3.0031315
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 1913
99.8%
164.4 1
 
0.1%
397.2 1
 
0.1%
148.8 1
 
0.1%

Length

2024-04-18T14:00:05.450385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:00:05.557808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1913
99.8%
164.4 1
 
0.1%
397.2 1
 
0.1%
148.8 1
 
0.1%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
02018-01-0110.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
12018-01-0210.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
22018-01-0310.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
32018-01-0410.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
42018-01-0510.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
52018-01-0610.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
62018-01-0710.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
72018-01-0810.00.00.000.00.00.000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
82018-01-0914938.0206.0932.40932.422.80.000000.00.00.045.6231.6578.4850.8932.4897.6639.6430.8308.422.80.00.00.00.00.00.0
92018-01-1014564.8190.0925.20925.213.20.000000.00.00.013.2104.4246.0645.6925.2878.4739.2638.4345.628.80.00.00.00.00.00.0
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
19062023-03-2213050.4127.1942.00942.09.60.000000.00.018.056.4225.6138.0328.8942.0789.6373.2124.844.49.60.00.00.00.00.00.0
19072023-03-2315288.4220.35956.40956.414.40.000000.00.014.499.6160.8368.4328.8948.0956.4786.0757.2598.8250.819.20.00.00.00.00.0
19082023-03-2412667.6111.15549.60549.66.00.000000.00.066.0181.2422.4142.8152.4162.0151.2402.0549.6313.2118.86.00.00.00.00.00.0
19092023-03-2516372.0265.5998.40998.41.20.000000.01.254.0216.0477.6717.6898.8888.0998.4910.8644.4358.8192.014.40.00.00.00.00.0
19102023-03-2618422.8350.951203.601203.638.40.000000.00.038.4238.8561.6849.61064.41172.41203.61144.8982.8721.2378.067.20.00.00.00.00.0
19112023-03-27111005.2458.551168.801168.839.60.000000.00.039.6242.4548.4753.6231.61154.41168.81088.4664.8342.0739.2526.81129.21160.41160.455.20.0
19122023-03-2816721.2280.051159.201159.260.00.000000.00.060.0219.6362.4132.0140.4152.4170.4158.4139.2601.2782.4526.81128.01159.2988.80.00.0
19132023-03-2915913.6246.4856.80856.81.20.000000.01.260.0248.4486.0160.8151.2163.2162.0148.8132.0536.4727.2514.8746.4762.0856.856.40.0
19142023-03-3018001.6333.41159.201159.21.20.000000.01.255.2244.8507.6163.2159.6165.6164.4162.0861.6662.4812.4549.61126.81159.21150.855.20.0
19152023-03-3117232.4301.351158.001158.01.20.000000.01.260.0240.0508.8165.6158.4171.6165.6159.6145.2627.6796.8541.21126.81158.01150.855.20.0