Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory78.3 B

Variable types

DateTime1
Categorical3
Text1
Numeric4

Alerts

장치아이디 is highly overall correlated with 전압값 and 3 other fieldsHigh correlation
장치번호 is highly overall correlated with 전압값 and 3 other fieldsHigh correlation
전원여부 is highly overall correlated with 장치아이디 and 1 other fieldsHigh correlation
전류값 is highly overall correlated with 전압값 and 1 other fieldsHigh correlation
전압값 is highly overall correlated with 전류값 and 4 other fieldsHigh correlation
전력값 is highly overall correlated with 전류값 and 2 other fieldsHigh correlation
파워팩터값 is highly overall correlated with 전압값 and 3 other fieldsHigh correlation
로그일 has unique valuesUnique
전력값 has 47 (47.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:20:29.156517
Analysis finished2023-12-10 13:20:32.844653
Duration3.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

로그일
Date

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-04-01 00:00:04
Maximum2021-04-01 00:24:35
2023-12-10T22:20:32.970925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:33.193192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

장치아이디
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5f042d3eef45e344565af9cc
50 
5f042e68ef45e344565af9d6
50 

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5f042d3eef45e344565af9cc
2nd row5f042e68ef45e344565af9d6
3rd row5f042d3eef45e344565af9cc
4th row5f042e68ef45e344565af9d6
5th row5f042d3eef45e344565af9cc

Common Values

ValueCountFrequency (%)
5f042d3eef45e344565af9cc 50
50.0%
5f042e68ef45e344565af9d6 50
50.0%

Length

2023-12-10T22:20:33.439028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:33.581072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5f042d3eef45e344565af9cc 50
50.0%
5f042e68ef45e344565af9d6 50
50.0%

장치번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Dawon-B540-2ef43250f6c6
50 
Dawon-B540-2ef432510196
50 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDawon-B540-2ef43250f6c6
2nd rowDawon-B540-2ef432510196
3rd rowDawon-B540-2ef43250f6c6
4th rowDawon-B540-2ef432510196
5th rowDawon-B540-2ef43250f6c6

Common Values

ValueCountFrequency (%)
Dawon-B540-2ef43250f6c6 50
50.0%
Dawon-B540-2ef432510196 50
50.0%

Length

2023-12-10T22:20:33.827243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:33.988415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dawon-b540-2ef43250f6c6 50
50.0%
dawon-b540-2ef432510196 50
50.0%

로그 아이디
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:34.422342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters2400
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row60648e818253773fcfc6b5cf
2nd row60648ec38253773fcfc6b73e
3rd row60648ea08253773fcfc6b67c
4th row60648ee18253773fcfc6b7ed
5th row60648ebf8253773fcfc6b72a
ValueCountFrequency (%)
606490c38253773fcfc6c288 4
 
4.0%
60648e818253773fcfc6b5cf 1
 
1.0%
606492d78253773fcfc6ce39 1
 
1.0%
606492b98253773fcfc6cd8b 1
 
1.0%
606492d48253773fcfc6ce2b 1
 
1.0%
6064929a8253773fcfc6cce1 1
 
1.0%
606492b68253773fcfc6cd7d 1
 
1.0%
6064927b8253773fcfc6cc34 1
 
1.0%
606492978253773fcfc6ccd3 1
 
1.0%
6064925c8253773fcfc6cb85 1
 
1.0%
Other values (87) 87
87.0%
2023-12-10T22:20:35.179591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 330
13.8%
c 283
11.8%
3 252
10.5%
f 248
10.3%
7 228
9.5%
8 160
6.7%
0 149
6.2%
2 147
6.1%
4 140
5.8%
5 132
 
5.5%
Other values (6) 331
13.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1696
70.7%
Lowercase Letter 704
29.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 330
19.5%
3 252
14.9%
7 228
13.4%
8 160
9.4%
0 149
8.8%
2 147
8.7%
4 140
8.3%
5 132
 
7.8%
9 109
 
6.4%
1 49
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
c 283
40.2%
f 248
35.2%
b 59
 
8.4%
d 50
 
7.1%
e 35
 
5.0%
a 29
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1696
70.7%
Latin 704
29.3%

Most frequent character per script

Common
ValueCountFrequency (%)
6 330
19.5%
3 252
14.9%
7 228
13.4%
8 160
9.4%
0 149
8.8%
2 147
8.7%
4 140
8.3%
5 132
 
7.8%
9 109
 
6.4%
1 49
 
2.9%
Latin
ValueCountFrequency (%)
c 283
40.2%
f 248
35.2%
b 59
 
8.4%
d 50
 
7.1%
e 35
 
5.0%
a 29
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 330
13.8%
c 283
11.8%
3 252
10.5%
f 248
10.3%
7 228
9.5%
8 160
6.7%
0 149
6.2%
2 147
6.1%
4 140
5.8%
5 132
 
5.5%
Other values (6) 331
13.8%

전류값
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16071833
Minimum0.025666667
Maximum2.2136667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:20:35.409616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.025666667
5-th percentile0.026
Q10.026333333
median0.026666667
Q30.027333333
95-th percentile1.6686667
Maximum2.2136667
Range2.188
Interquartile range (IQR)0.001

Descriptive statistics

Standard deviation0.47148578
Coefficient of variation (CV)2.9336154
Kurtosis11.045544
Mean0.16071833
Median Absolute Deviation (MAD)0.00033333333
Skewness3.507642
Sum16.071833
Variance0.22229884
MonotonicityNot monotonic
2023-12-10T22:20:35.640456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0266666666666666 23
23.0%
0.0263333333333333 21
21.0%
0.027 18
18.0%
0.0273333333333333 11
11.0%
0.0276666666666666 7
 
7.0%
0.026 4
 
4.0%
0.0256666666666666 2
 
2.0%
0.0289999999999999 1
 
1.0%
1.2283333333333333 1
 
1.0%
1.8276666666666668 1
 
1.0%
Other values (11) 11
11.0%
ValueCountFrequency (%)
0.0256666666666666 2
 
2.0%
0.026 4
 
4.0%
0.0261666666666666 1
 
1.0%
0.0263333333333333 21
21.0%
0.0264166666666666 1
 
1.0%
0.0266666666666666 23
23.0%
0.0269166666666666 1
 
1.0%
0.0269999999999999 1
 
1.0%
0.027 18
18.0%
0.0273333333333333 11
11.0%
ValueCountFrequency (%)
2.2136666666666667 1
1.0%
2.212666666666667 1
1.0%
1.829 1
1.0%
1.8276666666666668 1
1.0%
1.827 1
1.0%
1.6603333333333332 1
1.0%
1.2283333333333333 1
1.0%
0.631 1
1.0%
0.2046666666666667 1
1.0%
0.0289999999999999 1
1.0%

전압값
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.52213
Minimum217.38333
Maximum220.51667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:20:35.923855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum217.38333
5-th percentile218.39967
Q1219.3475
median219.60333
Q3219.85417
95-th percentile220.23683
Maximum220.51667
Range3.1333333
Interquartile range (IQR)0.50666667

Descriptive statistics

Standard deviation0.54687553
Coefficient of variation (CV)0.0024912091
Kurtosis3.4069577
Mean219.52213
Median Absolute Deviation (MAD)0.25666667
Skewness-1.5069543
Sum21952.213
Variance0.29907284
MonotonicityNot monotonic
2023-12-10T22:20:36.244696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219.92 4
 
4.0%
219.77666666666664 2
 
2.0%
219.82666666666668 2
 
2.0%
219.45666666666668 2
 
2.0%
219.59666666666664 2
 
2.0%
219.6966666666667 1
 
1.0%
220.22333333333336 1
 
1.0%
219.57 1
 
1.0%
219.71 1
 
1.0%
220.0233333333333 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
217.38333333333333 1
1.0%
217.6233333333333 1
1.0%
217.90666666666667 1
1.0%
218.23 1
1.0%
218.26666666666665 1
1.0%
218.40666666666667 1
1.0%
218.51666666666668 1
1.0%
218.60666666666668 1
1.0%
218.88666666666668 1
1.0%
218.9033333333333 1
1.0%
ValueCountFrequency (%)
220.51666666666665 1
1.0%
220.42 1
1.0%
220.4 1
1.0%
220.32 1
1.0%
220.24 1
1.0%
220.23666666666668 1
1.0%
220.22333333333336 1
1.0%
220.09 1
1.0%
220.06333333333336 1
1.0%
220.0233333333333 1
1.0%

전력값
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.61575
Minimum0
Maximum473.48
Zeros47
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:20:36.582834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.675
Q31.266875
95-th percentile343.4225
Maximum473.48
Range473.48
Interquartile range (IQR)1.266875

Descriptive statistics

Standard deviation102.58636
Coefficient of variation (CV)3.4639121
Kurtosis11.006182
Mean29.61575
Median Absolute Deviation (MAD)0.675
Skewness3.5049955
Sum2961.575
Variance10523.96
MonotonicityNot monotonic
2023-12-10T22:20:36.813677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 47
47.0%
1.33 2
 
2.0%
1.2966666666666666 2
 
2.0%
1.27 2
 
2.0%
1.346666666666667 1
 
1.0%
1.1166666666666667 1
 
1.0%
1.42 1
 
1.0%
1.3533333333333333 1
 
1.0%
1.15 1
 
1.0%
0.34 1
 
1.0%
Other values (41) 41
41.0%
ValueCountFrequency (%)
0.0 47
47.0%
0.2233333333333333 1
 
1.0%
0.2533333333333333 1
 
1.0%
0.34 1
 
1.0%
1.01 1
 
1.0%
1.0766666666666669 1
 
1.0%
1.1 1
 
1.0%
1.1166666666666667 1
 
1.0%
1.12 1
 
1.0%
1.1266666666666667 1
 
1.0%
ValueCountFrequency (%)
473.48 1
1.0%
472.44000000000005 1
1.0%
398.7 1
1.0%
398.6000000000001 1
1.0%
398.31666666666666 1
1.0%
340.5333333333333 1
1.0%
266.13 1
1.0%
134.56 1
1.0%
27.21333333333333 1
1.0%
1.49 1
1.0%

파워팩터값
Real number (ℝ)

HIGH CORRELATION 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.218815
Minimum0.0053333333
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:20:37.139844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0053333333
5-th percentile0.02865
Q10.11191667
median0.1855
Q30.21391667
95-th percentile0.87363333
Maximum1
Range0.99466667
Interquartile range (IQR)0.102

Descriptive statistics

Standard deviation0.21300792
Coefficient of variation (CV)0.97346123
Kurtosis7.6728646
Mean0.218815
Median Absolute Deviation (MAD)0.037458333
Skewness2.8045633
Sum21.8815
Variance0.045372373
MonotonicityNot monotonic
2023-12-10T22:20:37.755171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1726666666666666 3
 
3.0%
0.255 3
 
3.0%
0.0286666666666666 3
 
3.0%
0.1909999999999999 2
 
2.0%
0.2283333333333333 2
 
2.0%
0.1756666666666666 2
 
2.0%
0.2076666666666666 2
 
2.0%
0.1976666666666666 2
 
2.0%
0.0953333333333333 2
 
2.0%
0.1763333333333333 2
 
2.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
0.0053333333333333 1
 
1.0%
0.0093333333333333 1
 
1.0%
0.0156666666666666 1
 
1.0%
0.0233333333333333 1
 
1.0%
0.0283333333333333 1
 
1.0%
0.0286666666666666 3
3.0%
0.0289999999999999 1
 
1.0%
0.0323333333333333 1
 
1.0%
0.035 1
 
1.0%
0.0403333333333333 1
 
1.0%
ValueCountFrequency (%)
1.0 1
 
1.0%
0.999 1
 
1.0%
0.9983333333333334 1
 
1.0%
0.9823333333333334 1
 
1.0%
0.9806666666666668 1
 
1.0%
0.868 1
 
1.0%
0.7416666666666667 1
 
1.0%
0.459 1
 
1.0%
0.354 1
 
1.0%
0.255 3
3.0%

전원여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
50 
1.0
46 
0.3333333333333333
 
4

Length

Max length18
Median length3
Mean length3.6
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 50
50.0%
1.0 46
46.0%
0.3333333333333333 4
 
4.0%

Length

2023-12-10T22:20:37.963244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:38.108458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 50
50.0%
1.0 46
46.0%
0.3333333333333333 4
 
4.0%

Interactions

2023-12-10T22:20:31.875404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:29.975660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:30.673090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:31.344326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:32.047687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:30.246277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:30.816551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:31.468377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:32.193242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:30.419085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:31.022683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:31.608037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:32.321840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:30.535403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:31.193021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:20:31.739748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:20:38.219435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
로그일장치아이디장치번호로그 아이디전류값전압값전력값파워팩터값전원여부
로그일1.0001.0001.0001.0001.0001.0001.0001.0001.000
장치아이디1.0001.0000.9991.0000.2740.7490.2740.8360.665
장치번호1.0000.9991.0001.0000.2740.7490.2740.8360.665
로그 아이디1.0001.0001.0001.0001.0000.9951.0000.9920.000
전류값1.0000.2740.2741.0001.0000.8961.0000.9540.080
전압값1.0000.7490.7490.9950.8961.0000.8960.7530.565
전력값1.0000.2740.2741.0001.0000.8961.0000.9540.080
파워팩터값1.0000.8360.8360.9920.9540.7530.9541.0000.516
전원여부1.0000.6650.6650.0000.0800.5650.0800.5161.000
2023-12-10T22:20:38.479923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치아이디장치번호전원여부
장치아이디1.0000.9800.920
장치번호0.9801.0000.920
전원여부0.9200.9201.000
2023-12-10T22:20:38.647043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전류값전압값전력값파워팩터값장치아이디장치번호전원여부
전류값1.000-0.5940.6570.4780.1920.1920.023
전압값-0.5941.000-0.677-0.5320.5690.5690.398
전력값0.657-0.6771.0000.7420.1920.1920.023
파워팩터값0.478-0.5320.7421.0000.6350.6350.371
장치아이디0.1920.5690.1920.6351.0000.9800.920
장치번호0.1920.5690.1920.6350.9801.0000.920
전원여부0.0230.3980.0230.3710.9200.9201.000

Missing values

2023-12-10T22:20:32.503983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:20:32.756878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

로그일장치아이디장치번호로그 아이디전류값전압값전력값파워팩터값전원여부
02021-04-01 00:00:045f042d3eef45e344565af9ccDawon-B540-2ef43250f6c660648e818253773fcfc6b5cf0.026667219.4833330.00.0983330.0
12021-04-01 00:00:055f042e68ef45e344565af9d6Dawon-B540-2ef43251019660648ec38253773fcfc6b73e2.213667217.383333473.480.9823331.0
22021-04-01 00:00:345f042d3eef45e344565af9ccDawon-B540-2ef43250f6c660648ea08253773fcfc6b67c0.027219.0366670.00.0953330.0
32021-04-01 00:00:355f042e68ef45e344565af9d6Dawon-B540-2ef43251019660648ee18253773fcfc6b7ed2.212667217.623333472.440.9806671.0
42021-04-01 00:01:045f042d3eef45e344565af9ccDawon-B540-2ef43250f6c660648ebf8253773fcfc6b72a0.026333219.290.00.1763330.0
52021-04-01 00:01:055f042e68ef45e344565af9d6Dawon-B540-2ef43251019660648f008253773fcfc6b89b1.660333218.406667340.5333330.8681.0
62021-04-01 00:01:345f042d3eef45e344565af9ccDawon-B540-2ef43250f6c660648ede8253773fcfc6b7d80.027219.2966670.00.1040.0
72021-04-01 00:01:355f042e68ef45e344565af9d6Dawon-B540-2ef43251019660648f1f8253773fcfc6b9460.204667219.48666727.2133330.3541.0
82021-04-01 00:02:045f042d3eef45e344565af9ccDawon-B540-2ef43250f6c660648efc8253773fcfc6b8860.026667219.50.00.1840.0
92021-04-01 00:02:055f042e68ef45e344565af9d6Dawon-B540-2ef43251019660648f3e8253773fcfc6b9f30.027219.331.2966670.2283331.0
로그일장치아이디장치번호로그 아이디전류값전압값전력값파워팩터값전원여부
902021-04-01 00:22:345f042d3eef45e344565af9ccDawon-B540-2ef43250f6c6606493e98253773fcfc6d4490.026333220.420.00.0976670.0
912021-04-01 00:22:355f042e68ef45e344565af9d6Dawon-B540-2ef432510196606493cd8253773fcfc6d3a90.027333219.3933331.270.1996671.0
922021-04-01 00:23:045f042d3eef45e344565af9ccDawon-B540-2ef43250f6c6606494088253773fcfc6d4f60.026667220.40.00.1706670.0
932021-04-01 00:23:055f042e68ef45e344565af9d6Dawon-B540-2ef432510196606493ec8253773fcfc6d4570.026667219.921.290.2291.0
942021-04-01 00:23:345f042d3eef45e344565af9ccDawon-B540-2ef43250f6c6606494278253773fcfc6d5a40.027333220.320.00.1843330.0
952021-04-01 00:23:355f042e68ef45e344565af9d6Dawon-B540-2ef4325101966064940b8253773fcfc6d5050.027219.8933331.2233330.2016671.0
962021-04-01 00:24:045f042d3eef45e344565af9ccDawon-B540-2ef43250f6c6606494458253773fcfc6d6510.026667220.5166670.00.1170.0
972021-04-01 00:24:055f042e68ef45e344565af9d6Dawon-B540-2ef4325101966064942a8253773fcfc6d5b30.027219.641.0766670.1756671.0
982021-04-01 00:24:345f042d3eef45e344565af9ccDawon-B540-2ef43250f6c6606494648253773fcfc6d6fe0.025667220.240.00.2550.0
992021-04-01 00:24:355f042e68ef45e344565af9d6Dawon-B540-2ef432510196606494488253773fcfc6d6600.029219.891.1966670.2243331.0