Overview

Dataset statistics

Number of variables27
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory243.3 B

Variable types

DateTime1
Categorical1
Numeric25

Alerts

날짜 has constant value ""Constant

Reproduction

Analysis started2023-12-10 10:35:52.284392
Analysis finished2023-12-10 10:35:52.635097
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-01-01 00:00:00
Maximum2019-01-01 00:00:00
2023-12-10T19:35:52.727645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:35:52.885304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

동
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
222
66 
223
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row222
2nd row222
3rd row222
4th row222
5th row222

Common Values

ValueCountFrequency (%)
222 66
66.0%
223 34
34.0%

Length

2023-12-10T19:35:53.087276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:35:53.277452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
222 66
66.0%
223 34
34.0%

호수
Real number (ℝ)

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1429.5
Minimum101
Maximum3302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:53.563123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile201
Q1701
median1301.5
Q32101.25
95-th percentile3101.05
Maximum3302
Range3201
Interquartile range (IQR)1400.25

Descriptive statistics

Standard deviation912.10504
Coefficient of variation (CV)0.63805879
Kurtosis-0.85608871
Mean1429.5
Median Absolute Deviation (MAD)699.5
Skewness0.43775372
Sum142950
Variance831935.61
MonotonicityNot monotonic
2023-12-10T19:35:53.888703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 2
 
2.0%
1501 2
 
2.0%
1102 2
 
2.0%
1201 2
 
2.0%
1202 2
 
2.0%
1301 2
 
2.0%
1302 2
 
2.0%
1402 2
 
2.0%
1502 2
 
2.0%
1002 2
 
2.0%
Other values (56) 80
80.0%
ValueCountFrequency (%)
101 2
2.0%
102 2
2.0%
201 2
2.0%
202 2
2.0%
301 2
2.0%
302 2
2.0%
401 2
2.0%
402 2
2.0%
501 2
2.0%
502 2
2.0%
ValueCountFrequency (%)
3302 1
1.0%
3301 1
1.0%
3202 1
1.0%
3201 1
1.0%
3102 1
1.0%
3101 1
1.0%
3002 1
1.0%
3001 1
1.0%
2902 1
1.0%
2901 1
1.0%

오전12시 사용량
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.669
Minimum0
Maximum2.1
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:54.199932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.6
Q30.9
95-th percentile1.205
Maximum2.1
Range2.1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.35382327
Coefficient of variation (CV)0.52888382
Kurtosis2.0800441
Mean0.669
Median Absolute Deviation (MAD)0.2
Skewness1.0742439
Sum66.9
Variance0.12519091
MonotonicityNot monotonic
2023-12-10T19:35:54.515754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.6 15
15.0%
0.4 13
13.0%
0.3 12
12.0%
0.8 11
11.0%
0.9 9
9.0%
0.5 8
8.0%
0.7 7
7.0%
0.2 6
 
6.0%
1.0 6
 
6.0%
1.2 4
 
4.0%
Other values (7) 9
9.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 6
 
6.0%
0.3 12
12.0%
0.4 13
13.0%
0.5 8
8.0%
0.6 15
15.0%
0.7 7
7.0%
0.8 11
11.0%
0.9 9
9.0%
1.0 6
 
6.0%
ValueCountFrequency (%)
2.1 1
 
1.0%
1.7 1
 
1.0%
1.5 1
 
1.0%
1.4 1
 
1.0%
1.3 1
 
1.0%
1.2 4
 
4.0%
1.1 3
 
3.0%
1.0 6
6.0%
0.9 9
9.0%
0.8 11
11.0%

오전1시 사용량
Real number (ℝ)

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.516
Minimum0
Maximum2
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:54.797951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.5
Q30.6
95-th percentile1.01
Maximum2
Range2
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.32805518
Coefficient of variation (CV)0.63576586
Kurtosis7.6117421
Mean0.516
Median Absolute Deviation (MAD)0.2
Skewness2.3110729
Sum51.6
Variance0.1076202
MonotonicityNot monotonic
2023-12-10T19:35:55.061196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.5 18
18.0%
0.3 18
18.0%
0.4 16
16.0%
0.2 14
14.0%
0.6 12
12.0%
0.7 7
 
7.0%
0.9 4
 
4.0%
0.8 3
 
3.0%
2.0 2
 
2.0%
1.0 2
 
2.0%
Other values (3) 4
 
4.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 14
14.0%
0.3 18
18.0%
0.4 16
16.0%
0.5 18
18.0%
0.6 12
12.0%
0.7 7
 
7.0%
0.8 3
 
3.0%
0.9 4
 
4.0%
1.0 2
 
2.0%
ValueCountFrequency (%)
2.0 2
 
2.0%
1.5 1
 
1.0%
1.2 2
 
2.0%
1.0 2
 
2.0%
0.9 4
 
4.0%
0.8 3
 
3.0%
0.7 7
 
7.0%
0.6 12
12.0%
0.5 18
18.0%
0.4 16
16.0%

오전2시 사용량
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.467
Minimum0
Maximum1.7
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:55.343655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.4
Q30.6
95-th percentile0.905
Maximum1.7
Range1.7
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.26325661
Coefficient of variation (CV)0.56371864
Kurtosis5.2823693
Mean0.467
Median Absolute Deviation (MAD)0.1
Skewness1.8077131
Sum46.7
Variance0.06930404
MonotonicityNot monotonic
2023-12-10T19:35:55.606066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3 23
23.0%
0.5 19
19.0%
0.4 16
16.0%
0.2 14
14.0%
0.7 8
 
8.0%
0.6 7
 
7.0%
0.8 5
 
5.0%
1.1 2
 
2.0%
1.4 1
 
1.0%
1.0 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 14
14.0%
0.3 23
23.0%
0.4 16
16.0%
0.5 19
19.0%
0.6 7
 
7.0%
0.7 8
 
8.0%
0.8 5
 
5.0%
0.9 1
 
1.0%
ValueCountFrequency (%)
1.7 1
 
1.0%
1.4 1
 
1.0%
1.1 2
 
2.0%
1.0 1
 
1.0%
0.9 1
 
1.0%
0.8 5
 
5.0%
0.7 8
8.0%
0.6 7
 
7.0%
0.5 19
19.0%
0.4 16
16.0%

오전3시 사용량
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.427
Minimum0
Maximum1.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:55.916147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.4
Q30.5
95-th percentile0.8
Maximum1.8
Range1.8
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2518036
Coefficient of variation (CV)0.58970397
Kurtosis10.894763
Mean0.427
Median Absolute Deviation (MAD)0.1
Skewness2.6937563
Sum42.7
Variance0.063405051
MonotonicityNot monotonic
2023-12-10T19:35:56.206923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4 30
30.0%
0.3 25
25.0%
0.2 13
13.0%
0.5 10
 
10.0%
0.6 7
 
7.0%
0.7 5
 
5.0%
0.8 4
 
4.0%
0.1 2
 
2.0%
1.3 1
 
1.0%
1.4 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
 
2.0%
0.2 13
13.0%
0.3 25
25.0%
0.4 30
30.0%
0.5 10
 
10.0%
0.6 7
 
7.0%
0.7 5
 
5.0%
0.8 4
 
4.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
1.8 1
 
1.0%
1.4 1
 
1.0%
1.3 1
 
1.0%
0.8 4
 
4.0%
0.7 5
 
5.0%
0.6 7
 
7.0%
0.5 10
 
10.0%
0.4 30
30.0%
0.3 25
25.0%
0.2 13
13.0%

오전4시 사용량
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.379
Minimum0
Maximum1.3
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:56.424420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.4
Q30.4
95-th percentile0.705
Maximum1.3
Range1.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.18493515
Coefficient of variation (CV)0.48795554
Kurtosis6.1854293
Mean0.379
Median Absolute Deviation (MAD)0.1
Skewness1.8304254
Sum37.9
Variance0.03420101
MonotonicityNot monotonic
2023-12-10T19:35:56.652181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.4 29
29.0%
0.3 28
28.0%
0.2 18
18.0%
0.5 9
 
9.0%
0.6 7
 
7.0%
0.1 2
 
2.0%
0.8 2
 
2.0%
0.9 2
 
2.0%
0.7 1
 
1.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
 
2.0%
0.2 18
18.0%
0.3 28
28.0%
0.4 29
29.0%
0.5 9
 
9.0%
0.6 7
 
7.0%
0.7 1
 
1.0%
0.8 2
 
2.0%
0.9 2
 
2.0%
ValueCountFrequency (%)
1.3 1
 
1.0%
0.9 2
 
2.0%
0.8 2
 
2.0%
0.7 1
 
1.0%
0.6 7
 
7.0%
0.5 9
 
9.0%
0.4 29
29.0%
0.3 28
28.0%
0.2 18
18.0%
0.1 2
 
2.0%

오전5시 사용량
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.363
Minimum0
Maximum1.3
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:56.885717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.3
Q30.4
95-th percentile0.7
Maximum1.3
Range1.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.17445731
Coefficient of variation (CV)0.48059865
Kurtosis7.7188155
Mean0.363
Median Absolute Deviation (MAD)0.1
Skewness1.8917411
Sum36.3
Variance0.030435354
MonotonicityNot monotonic
2023-12-10T19:35:57.106313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.4 31
31.0%
0.3 27
27.0%
0.2 20
20.0%
0.5 7
 
7.0%
0.7 5
 
5.0%
0.6 4
 
4.0%
0.1 3
 
3.0%
0.8 1
 
1.0%
1.3 1
 
1.0%
0.0 1
 
1.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 3
 
3.0%
0.2 20
20.0%
0.3 27
27.0%
0.4 31
31.0%
0.5 7
 
7.0%
0.6 4
 
4.0%
0.7 5
 
5.0%
0.8 1
 
1.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
1.3 1
 
1.0%
0.8 1
 
1.0%
0.7 5
 
5.0%
0.6 4
 
4.0%
0.5 7
 
7.0%
0.4 31
31.0%
0.3 27
27.0%
0.2 20
20.0%
0.1 3
 
3.0%
0.0 1
 
1.0%

오전6시 사용량
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.376
Minimum0
Maximum1.3
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:57.310856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.35
Q30.5
95-th percentile0.7
Maximum1.3
Range1.3
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.17530349
Coefficient of variation (CV)0.46623268
Kurtosis7.2532705
Mean0.376
Median Absolute Deviation (MAD)0.05
Skewness1.8337064
Sum37.6
Variance0.030731313
MonotonicityNot monotonic
2023-12-10T19:35:57.547045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.3 28
28.0%
0.4 24
24.0%
0.2 20
20.0%
0.5 15
15.0%
0.6 5
 
5.0%
0.7 4
 
4.0%
0.9 1
 
1.0%
1.3 1
 
1.0%
0.0 1
 
1.0%
0.1 1
 
1.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 20
20.0%
0.3 28
28.0%
0.4 24
24.0%
0.5 15
15.0%
0.6 5
 
5.0%
0.7 4
 
4.0%
0.9 1
 
1.0%
1.3 1
 
1.0%
ValueCountFrequency (%)
1.3 1
 
1.0%
0.9 1
 
1.0%
0.7 4
 
4.0%
0.6 5
 
5.0%
0.5 15
15.0%
0.4 24
24.0%
0.3 28
28.0%
0.2 20
20.0%
0.1 1
 
1.0%
0.0 1
 
1.0%

오전7시 사용량
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.415
Minimum0
Maximum1.5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:57.758826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.3
Q30.5
95-th percentile0.9
Maximum1.5
Range1.5
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.25834555
Coefficient of variation (CV)0.6225194
Kurtosis5.1027725
Mean0.415
Median Absolute Deviation (MAD)0.1
Skewness2.0081113
Sum41.5
Variance0.066742424
MonotonicityNot monotonic
2023-12-10T19:35:58.023066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3 34
34.0%
0.4 18
18.0%
0.2 16
16.0%
0.5 9
 
9.0%
0.7 8
 
8.0%
0.6 3
 
3.0%
0.1 3
 
3.0%
0.9 3
 
3.0%
0.8 1
 
1.0%
1.4 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 3
 
3.0%
0.2 16
16.0%
0.3 34
34.0%
0.4 18
18.0%
0.5 9
 
9.0%
0.6 3
 
3.0%
0.7 8
 
8.0%
0.8 1
 
1.0%
0.9 3
 
3.0%
ValueCountFrequency (%)
1.5 1
 
1.0%
1.4 1
 
1.0%
1.3 1
 
1.0%
1.0 1
 
1.0%
0.9 3
 
3.0%
0.8 1
 
1.0%
0.7 8
8.0%
0.6 3
 
3.0%
0.5 9
9.0%
0.4 18
18.0%

오전8시 사용량
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.554
Minimum0
Maximum2.6
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:58.371656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.5
Q30.7
95-th percentile1.1
Maximum2.6
Range2.6
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.3325506
Coefficient of variation (CV)0.60027183
Kurtosis13.531997
Mean0.554
Median Absolute Deviation (MAD)0.1
Skewness2.7035872
Sum55.4
Variance0.1105899
MonotonicityNot monotonic
2023-12-10T19:35:58.732516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.4 21
21.0%
0.5 18
18.0%
0.6 12
12.0%
0.3 12
12.0%
0.2 10
10.0%
0.7 7
 
7.0%
1.0 5
 
5.0%
0.8 4
 
4.0%
0.9 4
 
4.0%
1.1 2
 
2.0%
Other values (4) 5
 
5.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 10
10.0%
0.3 12
12.0%
0.4 21
21.0%
0.5 18
18.0%
0.6 12
12.0%
0.7 7
 
7.0%
0.8 4
 
4.0%
0.9 4
 
4.0%
1.0 5
 
5.0%
ValueCountFrequency (%)
2.6 1
 
1.0%
1.3 1
 
1.0%
1.2 2
 
2.0%
1.1 2
 
2.0%
1.0 5
 
5.0%
0.9 4
 
4.0%
0.8 4
 
4.0%
0.7 7
 
7.0%
0.6 12
12.0%
0.5 18
18.0%

오전9시 사용량
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.622
Minimum0
Maximum2.9
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:59.003401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.4
median0.5
Q30.8
95-th percentile1.2
Maximum2.9
Range2.9
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.39301477
Coefficient of variation (CV)0.63185654
Kurtosis11.143284
Mean0.622
Median Absolute Deviation (MAD)0.2
Skewness2.5501932
Sum62.2
Variance0.15446061
MonotonicityNot monotonic
2023-12-10T19:35:59.548173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.4 19
19.0%
0.3 18
18.0%
0.5 13
13.0%
0.8 12
12.0%
0.6 9
9.0%
1.0 7
 
7.0%
0.7 7
 
7.0%
1.1 3
 
3.0%
0.2 2
 
2.0%
1.2 2
 
2.0%
Other values (7) 8
8.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 2
 
2.0%
0.3 18
18.0%
0.4 19
19.0%
0.5 13
13.0%
0.6 9
9.0%
0.7 7
 
7.0%
0.8 12
12.0%
0.9 2
 
2.0%
ValueCountFrequency (%)
2.9 1
 
1.0%
1.8 1
 
1.0%
1.7 1
 
1.0%
1.4 1
 
1.0%
1.2 2
 
2.0%
1.1 3
 
3.0%
1.0 7
7.0%
0.9 2
 
2.0%
0.8 12
12.0%
0.7 7
7.0%

오전10시 사용량
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64
Minimum0
Maximum3.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:35:59.771876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.6
Q30.8
95-th percentile1.11
Maximum3.8
Range3.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.43484585
Coefficient of variation (CV)0.67944663
Kurtosis27.755425
Mean0.64
Median Absolute Deviation (MAD)0.2
Skewness4.1277552
Sum64
Variance0.18909091
MonotonicityNot monotonic
2023-12-10T19:36:00.011854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.6 15
15.0%
0.5 14
14.0%
0.4 14
14.0%
0.8 12
12.0%
0.9 11
11.0%
0.3 9
9.0%
0.7 7
7.0%
0.2 7
7.0%
1.0 3
 
3.0%
1.6 2
 
2.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 7
7.0%
0.3 9
9.0%
0.4 14
14.0%
0.5 14
14.0%
0.6 15
15.0%
0.7 7
7.0%
0.8 12
12.0%
0.9 11
11.0%
ValueCountFrequency (%)
3.8 1
 
1.0%
1.6 2
 
2.0%
1.4 1
 
1.0%
1.3 1
 
1.0%
1.1 1
 
1.0%
1.0 3
 
3.0%
0.9 11
11.0%
0.8 12
12.0%
0.7 7
7.0%
0.6 15
15.0%

오전11시 사용량
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.684
Minimum0
Maximum3.1
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:00.227597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.6
Q30.9
95-th percentile1.4
Maximum3.1
Range3.1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4751863
Coefficient of variation (CV)0.69471681
Kurtosis9.8610848
Mean0.684
Median Absolute Deviation (MAD)0.2
Skewness2.6058865
Sum68.4
Variance0.22580202
MonotonicityNot monotonic
2023-12-10T19:36:00.524954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.5 15
15.0%
0.6 12
12.0%
0.4 12
12.0%
0.8 11
11.0%
0.3 11
11.0%
0.9 9
9.0%
0.2 8
8.0%
1.0 7
7.0%
0.7 4
 
4.0%
1.2 3
 
3.0%
Other values (7) 8
8.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 8
8.0%
0.3 11
11.0%
0.4 12
12.0%
0.5 15
15.0%
0.6 12
12.0%
0.7 4
 
4.0%
0.8 11
11.0%
0.9 9
9.0%
1.0 7
7.0%
ValueCountFrequency (%)
3.1 1
 
1.0%
2.8 1
 
1.0%
2.1 1
 
1.0%
1.8 1
 
1.0%
1.4 2
 
2.0%
1.2 3
 
3.0%
1.1 1
 
1.0%
1.0 7
7.0%
0.9 9
9.0%
0.8 11
11.0%

오후12시 사용량
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.619
Minimum0
Maximum2.5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:00.774306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.5
Q30.825
95-th percentile1.105
Maximum2.5
Range2.5
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation0.3498037
Coefficient of variation (CV)0.56511098
Kurtosis7.1516363
Mean0.619
Median Absolute Deviation (MAD)0.2
Skewness1.7828775
Sum61.9
Variance0.12236263
MonotonicityNot monotonic
2023-12-10T19:36:00.990642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.4 21
21.0%
0.5 15
15.0%
0.9 10
10.0%
0.3 9
9.0%
0.8 8
 
8.0%
0.7 7
 
7.0%
0.2 7
 
7.0%
1.0 7
 
7.0%
0.6 6
 
6.0%
1.1 3
 
3.0%
Other values (6) 7
 
7.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 7
 
7.0%
0.3 9
9.0%
0.4 21
21.0%
0.5 15
15.0%
0.6 6
 
6.0%
0.7 7
 
7.0%
0.8 8
 
8.0%
0.9 10
10.0%
ValueCountFrequency (%)
2.5 1
 
1.0%
1.4 1
 
1.0%
1.3 1
 
1.0%
1.2 2
 
2.0%
1.1 3
 
3.0%
1.0 7
7.0%
0.9 10
10.0%
0.8 8
8.0%
0.7 7
7.0%
0.6 6
6.0%

오후13시 사용량
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.593
Minimum0
Maximum2.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:01.189508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.5
Q30.725
95-th percentile1.2
Maximum2.8
Range2.8
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation0.38065733
Coefficient of variation (CV)0.64191792
Kurtosis10.241253
Mean0.593
Median Absolute Deviation (MAD)0.2
Skewness2.2817172
Sum59.3
Variance0.1449
MonotonicityNot monotonic
2023-12-10T19:36:01.389309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.3 17
17.0%
0.4 14
14.0%
0.5 14
14.0%
0.7 11
11.0%
0.6 8
8.0%
0.2 8
8.0%
0.8 7
7.0%
1.0 6
 
6.0%
1.1 4
 
4.0%
1.2 3
 
3.0%
Other values (6) 8
8.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
 
2.0%
0.2 8
8.0%
0.3 17
17.0%
0.4 14
14.0%
0.5 14
14.0%
0.6 8
8.0%
0.7 11
11.0%
0.8 7
7.0%
0.9 1
 
1.0%
ValueCountFrequency (%)
2.8 1
 
1.0%
1.4 1
 
1.0%
1.3 2
 
2.0%
1.2 3
 
3.0%
1.1 4
 
4.0%
1.0 6
6.0%
0.9 1
 
1.0%
0.8 7
7.0%
0.7 11
11.0%
0.6 8
8.0%

오후14시 사용량
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.575
Minimum0
Maximum3.5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:01.604260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.195
Q10.3
median0.5
Q30.8
95-th percentile1.105
Maximum3.5
Range3.5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.42814493
Coefficient of variation (CV)0.74459988
Kurtosis20.944331
Mean0.575
Median Absolute Deviation (MAD)0.2
Skewness3.4095588
Sum57.5
Variance0.18330808
MonotonicityNot monotonic
2023-12-10T19:36:01.822162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.3 21
21.0%
0.4 13
13.0%
0.5 11
11.0%
0.2 9
9.0%
1.0 8
 
8.0%
0.9 8
 
8.0%
0.6 7
 
7.0%
0.7 6
 
6.0%
0.8 5
 
5.0%
0.1 4
 
4.0%
Other values (5) 8
 
8.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 4
 
4.0%
0.2 9
9.0%
0.3 21
21.0%
0.4 13
13.0%
0.5 11
11.0%
0.6 7
 
7.0%
0.7 6
 
6.0%
0.8 5
 
5.0%
0.9 8
 
8.0%
ValueCountFrequency (%)
3.5 1
 
1.0%
1.4 1
 
1.0%
1.2 3
 
3.0%
1.1 2
 
2.0%
1.0 8
8.0%
0.9 8
8.0%
0.8 5
5.0%
0.7 6
6.0%
0.6 7
7.0%
0.5 11
11.0%

오후15시 사용량
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57
Minimum0
Maximum2.9
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:02.042044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.3
median0.5
Q30.7
95-th percentile1.105
Maximum2.9
Range2.9
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.372678
Coefficient of variation (CV)0.65382105
Kurtosis14.505585
Mean0.57
Median Absolute Deviation (MAD)0.2
Skewness2.80499
Sum57
Variance0.13888889
MonotonicityNot monotonic
2023-12-10T19:36:02.280652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.4 21
21.0%
0.3 15
15.0%
0.7 12
12.0%
0.2 10
10.0%
0.5 9
9.0%
0.6 9
9.0%
0.8 7
 
7.0%
1.1 5
 
5.0%
0.9 4
 
4.0%
1.2 3
 
3.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 10
10.0%
0.3 15
15.0%
0.4 21
21.0%
0.5 9
9.0%
0.6 9
9.0%
0.7 12
12.0%
0.8 7
 
7.0%
0.9 4
 
4.0%
ValueCountFrequency (%)
2.9 1
 
1.0%
1.5 1
 
1.0%
1.2 3
 
3.0%
1.1 5
5.0%
1.0 1
 
1.0%
0.9 4
 
4.0%
0.8 7
7.0%
0.7 12
12.0%
0.6 9
9.0%
0.5 9
9.0%

오후16시 사용량
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.557
Minimum0
Maximum2.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:02.505716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.195
Q10.3
median0.5
Q30.7
95-th percentile1.1
Maximum2.8
Range2.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.36934422
Coefficient of variation (CV)0.66309554
Kurtosis12.765071
Mean0.557
Median Absolute Deviation (MAD)0.2
Skewness2.586827
Sum55.7
Variance0.13641515
MonotonicityNot monotonic
2023-12-10T19:36:02.737670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.3 16
16.0%
0.4 15
15.0%
0.5 13
13.0%
0.6 12
12.0%
0.7 10
10.0%
0.2 9
9.0%
1.0 4
 
4.0%
0.9 4
 
4.0%
0.1 4
 
4.0%
1.1 4
 
4.0%
Other values (5) 9
9.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 4
 
4.0%
0.2 9
9.0%
0.3 16
16.0%
0.4 15
15.0%
0.5 13
13.0%
0.6 12
12.0%
0.7 10
10.0%
0.8 4
 
4.0%
0.9 4
 
4.0%
ValueCountFrequency (%)
2.8 1
 
1.0%
1.4 1
 
1.0%
1.3 2
 
2.0%
1.1 4
 
4.0%
1.0 4
 
4.0%
0.9 4
 
4.0%
0.8 4
 
4.0%
0.7 10
10.0%
0.6 12
12.0%
0.5 13
13.0%

오후17시 사용량
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.691
Minimum0
Maximum2.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:02.931266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.6
Q30.9
95-th percentile1.305
Maximum2.8
Range2.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.40304272
Coefficient of variation (CV)0.58327456
Kurtosis6.454297
Mean0.691
Median Absolute Deviation (MAD)0.2
Skewness1.6935114
Sum69.1
Variance0.16244343
MonotonicityNot monotonic
2023-12-10T19:36:03.133178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.8 12
12.0%
0.6 11
11.0%
0.5 11
11.0%
0.4 10
10.0%
0.3 10
10.0%
0.2 9
9.0%
0.7 8
8.0%
1.0 7
7.0%
1.1 6
6.0%
0.9 5
5.0%
Other values (7) 11
11.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 9
9.0%
0.3 10
10.0%
0.4 10
10.0%
0.5 11
11.0%
0.6 11
11.0%
0.7 8
8.0%
0.8 12
12.0%
0.9 5
5.0%
1.0 7
7.0%
ValueCountFrequency (%)
2.8 1
 
1.0%
1.7 1
 
1.0%
1.5 1
 
1.0%
1.4 2
 
2.0%
1.3 1
 
1.0%
1.2 4
 
4.0%
1.1 6
6.0%
1.0 7
7.0%
0.9 5
5.0%
0.8 12
12.0%

오후18시 사용량
Real number (ℝ)

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.802
Minimum0
Maximum3.1
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:03.344739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.8
Q31.1
95-th percentile1.4
Maximum3.1
Range3.1
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.4444904
Coefficient of variation (CV)0.55422743
Kurtosis5.8191778
Mean0.802
Median Absolute Deviation (MAD)0.3
Skewness1.3885447
Sum80.2
Variance0.19757172
MonotonicityNot monotonic
2023-12-10T19:36:03.558603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.5 13
13.0%
1.1 11
11.0%
0.9 10
10.0%
1.0 10
10.0%
0.7 9
9.0%
0.3 8
8.0%
1.3 8
8.0%
0.4 7
7.0%
0.8 5
 
5.0%
0.6 4
 
4.0%
Other values (9) 15
15.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
 
2.0%
0.2 4
 
4.0%
0.3 8
8.0%
0.4 7
7.0%
0.5 13
13.0%
0.6 4
 
4.0%
0.7 9
9.0%
0.8 5
 
5.0%
0.9 10
10.0%
ValueCountFrequency (%)
3.1 1
 
1.0%
1.7 1
 
1.0%
1.6 1
 
1.0%
1.5 1
 
1.0%
1.4 3
 
3.0%
1.3 8
8.0%
1.2 1
 
1.0%
1.1 11
11.0%
1.0 10
10.0%
0.9 10
10.0%

오후19시 사용량
Real number (ℝ)

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.845
Minimum0
Maximum3.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:03.818301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.8
Q31.1
95-th percentile1.6
Maximum3.8
Range3.8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.49141622
Coefficient of variation (CV)0.58155765
Kurtosis11.985349
Mean0.845
Median Absolute Deviation (MAD)0.3
Skewness2.2419103
Sum84.5
Variance0.2414899
MonotonicityNot monotonic
2023-12-10T19:36:04.153409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.8 12
12.0%
1.0 11
11.0%
0.5 10
10.0%
1.2 9
9.0%
0.3 8
8.0%
0.9 8
8.0%
0.7 7
 
7.0%
0.2 6
 
6.0%
0.6 6
 
6.0%
1.1 5
 
5.0%
Other values (9) 18
18.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 6
6.0%
0.3 8
8.0%
0.4 4
 
4.0%
0.5 10
10.0%
0.6 6
6.0%
0.7 7
7.0%
0.8 12
12.0%
0.9 8
8.0%
1.0 11
11.0%
ValueCountFrequency (%)
3.8 1
 
1.0%
1.8 1
 
1.0%
1.7 1
 
1.0%
1.6 3
 
3.0%
1.5 1
 
1.0%
1.4 3
 
3.0%
1.3 3
 
3.0%
1.2 9
9.0%
1.1 5
5.0%
1.0 11
11.0%

오후20시 사용량
Real number (ℝ)

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84
Minimum0
Maximum2.7
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:04.432791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.8
Q31.025
95-th percentile1.6
Maximum2.7
Range2.7
Interquartile range (IQR)0.525

Descriptive statistics

Standard deviation0.45571567
Coefficient of variation (CV)0.54251865
Kurtosis3.1247813
Mean0.84
Median Absolute Deviation (MAD)0.3
Skewness1.1555497
Sum84
Variance0.20767677
MonotonicityNot monotonic
2023-12-10T19:36:04.657668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.9 15
15.0%
0.8 12
12.0%
0.6 8
 
8.0%
0.4 8
 
8.0%
0.7 7
 
7.0%
1.0 7
 
7.0%
0.5 6
 
6.0%
1.1 6
 
6.0%
0.2 5
 
5.0%
1.2 5
 
5.0%
Other values (10) 21
21.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
 
2.0%
0.2 5
 
5.0%
0.3 4
 
4.0%
0.4 8
8.0%
0.5 6
 
6.0%
0.6 8
8.0%
0.7 7
7.0%
0.8 12
12.0%
0.9 15
15.0%
ValueCountFrequency (%)
2.7 1
 
1.0%
2.5 1
 
1.0%
1.7 2
 
2.0%
1.6 2
 
2.0%
1.5 2
 
2.0%
1.4 4
4.0%
1.3 2
 
2.0%
1.2 5
5.0%
1.1 6
6.0%
1.0 7
7.0%

오후21시 사용량
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79
Minimum0
Maximum2.3
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:04.848468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.8
Q31
95-th percentile1.405
Maximum2.3
Range2.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.39886202
Coefficient of variation (CV)0.50488863
Kurtosis1.1390414
Mean0.79
Median Absolute Deviation (MAD)0.2
Skewness0.6472252
Sum79
Variance0.15909091
MonotonicityNot monotonic
2023-12-10T19:36:05.041983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.7 17
17.0%
0.8 13
13.0%
0.9 10
10.0%
0.2 9
9.0%
1.0 8
8.0%
1.3 7
7.0%
0.4 6
 
6.0%
0.3 6
 
6.0%
0.6 5
 
5.0%
1.1 5
 
5.0%
Other values (8) 14
14.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.2 9
9.0%
0.3 6
 
6.0%
0.4 6
 
6.0%
0.5 4
 
4.0%
0.6 5
 
5.0%
0.7 17
17.0%
0.8 13
13.0%
0.9 10
10.0%
1.0 8
8.0%
ValueCountFrequency (%)
2.3 1
 
1.0%
1.7 1
 
1.0%
1.6 2
 
2.0%
1.5 1
 
1.0%
1.4 3
 
3.0%
1.3 7
7.0%
1.2 1
 
1.0%
1.1 5
5.0%
1.0 8
8.0%
0.9 10
10.0%

오후22시 사용량
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.698
Minimum0
Maximum2.7
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:05.260016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.7
Q30.9
95-th percentile1.205
Maximum2.7
Range2.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.38005316
Coefficient of variation (CV)0.54448877
Kurtosis6.4008366
Mean0.698
Median Absolute Deviation (MAD)0.2
Skewness1.4656255
Sum69.8
Variance0.1444404
MonotonicityNot monotonic
2023-12-10T19:36:05.463887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.8 12
12.0%
0.9 11
11.0%
0.7 11
11.0%
0.5 10
10.0%
0.6 10
10.0%
0.3 9
9.0%
0.2 9
9.0%
1.2 6
6.0%
0.4 6
6.0%
1.0 5
5.0%
Other values (6) 11
11.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 1
 
1.0%
0.2 9
9.0%
0.3 9
9.0%
0.4 6
6.0%
0.5 10
10.0%
0.6 10
10.0%
0.7 11
11.0%
0.8 12
12.0%
0.9 11
11.0%
ValueCountFrequency (%)
2.7 1
 
1.0%
1.4 1
 
1.0%
1.3 3
 
3.0%
1.2 6
6.0%
1.1 4
 
4.0%
1.0 5
5.0%
0.9 11
11.0%
0.8 12
12.0%
0.7 11
11.0%
0.6 10
10.0%

오후23시 사용량
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.668
Minimum0
Maximum2.5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:36:05.788143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.6
Q30.8
95-th percentile1.3
Maximum2.5
Range2.5
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.41191349
Coefficient of variation (CV)0.61663697
Kurtosis5.5892131
Mean0.668
Median Absolute Deviation (MAD)0.2
Skewness1.8245476
Sum66.8
Variance0.16967273
MonotonicityNot monotonic
2023-12-10T19:36:06.036629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.6 13
13.0%
0.5 13
13.0%
0.8 11
11.0%
0.7 11
11.0%
0.2 10
10.0%
0.9 9
9.0%
0.3 8
8.0%
0.4 7
7.0%
1.0 7
7.0%
1.3 4
 
4.0%
Other values (6) 7
7.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.1 2
 
2.0%
0.2 10
10.0%
0.3 8
8.0%
0.4 7
7.0%
0.5 13
13.0%
0.6 13
13.0%
0.7 11
11.0%
0.8 11
11.0%
0.9 9
9.0%
ValueCountFrequency (%)
2.5 1
 
1.0%
2.2 1
 
1.0%
2.1 1
 
1.0%
1.5 1
 
1.0%
1.3 4
 
4.0%
1.0 7
7.0%
0.9 9
9.0%
0.8 11
11.0%
0.7 11
11.0%
0.6 13
13.0%

Sample

날짜동호수오전12시 사용량오전1시 사용량오전2시 사용량오전3시 사용량오전4시 사용량오전5시 사용량오전6시 사용량오전7시 사용량오전8시 사용량오전9시 사용량오전10시 사용량오전11시 사용량오후12시 사용량오후13시 사용량오후14시 사용량오후15시 사용량오후16시 사용량오후17시 사용량오후18시 사용량오후19시 사용량오후20시 사용량오후21시 사용량오후22시 사용량오후23시 사용량
02019-01-012221010.80.50.50.50.60.50.50.50.50.60.51.00.70.70.50.41.00.60.50.50.50.40.50.4
12019-01-012222010.40.30.40.40.40.50.70.70.40.50.20.20.20.20.20.20.30.50.40.50.40.30.20.2
22019-01-012221020.40.40.60.20.30.30.20.30.60.60.30.20.30.30.20.40.30.40.20.30.30.20.30.6
32019-01-012223011.00.50.40.40.40.40.50.30.20.30.60.80.91.20.70.40.61.41.01.01.10.90.90.9
42019-01-012223020.30.30.20.30.20.20.20.30.51.20.40.30.20.10.30.50.20.70.30.80.40.20.30.1
52019-01-012224010.40.30.40.30.30.20.30.70.80.40.50.60.40.50.20.40.40.60.60.60.70.70.60.5
62019-01-012224020.60.30.50.40.40.40.50.40.60.60.90.60.70.70.81.10.91.11.11.01.00.80.60.8
72019-01-012222020.50.50.60.40.20.20.20.20.20.20.30.50.60.60.50.70.40.60.50.50.60.50.50.5
82019-01-012225020.80.20.20.20.20.20.50.70.71.00.40.50.50.60.30.30.20.70.90.80.80.70.60.7
92019-01-012226010.40.30.40.30.20.10.20.20.30.30.40.30.50.30.30.40.30.61.01.21.70.70.40.1
날짜동호수오전12시 사용량오전1시 사용량오전2시 사용량오전3시 사용량오전4시 사용량오전5시 사용량오전6시 사용량오전7시 사용량오전8시 사용량오전9시 사용량오전10시 사용량오전11시 사용량오후12시 사용량오후13시 사용량오후14시 사용량오후15시 사용량오후16시 사용량오후17시 사용량오후18시 사용량오후19시 사용량오후20시 사용량오후21시 사용량오후22시 사용량오후23시 사용량
902019-01-0122313010.91.00.70.40.40.30.30.40.70.60.50.50.40.40.30.50.50.50.81.01.21.31.22.1
912019-01-0122313020.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
922019-01-0122314010.50.20.20.30.20.30.30.30.90.80.70.71.10.90.40.40.70.81.11.10.90.90.90.7
932019-01-0122314020.70.30.50.40.40.40.51.31.01.00.93.11.20.50.90.80.70.80.50.50.60.50.61.3
942019-01-0122315010.20.20.20.20.10.20.20.20.50.90.80.30.40.40.40.40.40.60.50.50.80.50.20.3
952019-01-0122315020.40.20.20.20.20.20.30.20.30.30.30.30.70.20.20.10.20.30.50.80.90.70.60.6
962019-01-0122316010.60.40.20.20.20.20.10.20.40.50.60.40.30.30.20.20.20.20.10.20.20.20.20.2
972019-01-0122316021.10.50.80.80.80.70.50.91.00.40.30.30.40.30.50.40.30.40.40.40.50.40.40.3
982019-01-0122317010.20.30.20.30.30.20.30.20.30.50.50.60.80.80.80.80.71.11.11.01.21.00.90.9
992019-01-0122317021.30.90.90.70.50.40.60.60.90.80.81.20.90.80.70.91.01.31.00.81.41.31.20.8