Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory42.3 B

Variable types

Categorical1
Text3
Numeric1

Alerts

로그 아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:32:00.817281
Analysis finished2023-12-10 12:32:01.844265
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

로그일
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021-04-01 00:00:08
8 
2021-04-01 00:00:14
8 
2021-04-01 00:00:04
8 
2021-04-01 00:00:05
8 
2021-04-01 00:00:15
8 
Other values (12)
60 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-04-01 00:00:00
2nd row2021-04-01 00:00:00
3rd row2021-04-01 00:00:00
4th row2021-04-01 00:00:00
5th row2021-04-01 00:00:01

Common Values

ValueCountFrequency (%)
2021-04-01 00:00:08 8
 
8.0%
2021-04-01 00:00:14 8
 
8.0%
2021-04-01 00:00:04 8
 
8.0%
2021-04-01 00:00:05 8
 
8.0%
2021-04-01 00:00:15 8
 
8.0%
2021-04-01 00:00:06 7
 
7.0%
2021-04-01 00:00:16 7
 
7.0%
2021-04-01 00:00:12 6
 
6.0%
2021-04-01 00:00:02 6
 
6.0%
2021-04-01 00:00:11 6
 
6.0%
Other values (7) 28
28.0%

Length

2023-12-10T21:32:01.983332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-04-01 100
50.0%
00:00:14 8
 
4.0%
00:00:04 8
 
4.0%
00:00:05 8
 
4.0%
00:00:15 8
 
4.0%
00:00:08 8
 
4.0%
00:00:06 7
 
3.5%
00:00:16 7
 
3.5%
00:00:11 6
 
3.0%
00:00:01 6
 
3.0%
Other values (8) 34
 
17.0%

장치아이디
Text

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:32:02.385311image/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

Unique16 ?
Unique (%)16.0%

Sample

1st row5efd7640ed5c25f555635e35
2nd row5efd327c29af7dd94c0a6381
3rd row5f042e35ef45e344565af9d4
4th row5efd338d29af7dd94c0a6389
5th row5f042d89ef45e344565af9ce
ValueCountFrequency (%)
5efd7640ed5c25f555635e35 2
 
2.0%
5efd32dc29af7dd94c0a6383 2
 
2.0%
5efd392e29af7dd94c0a6393 2
 
2.0%
5efd367b29af7dd94c0a6391 2
 
2.0%
5efd3f1f29af7dd94c0a639b 2
 
2.0%
5f042e68ef45e344565af9d6 2
 
2.0%
5f042dc9ef45e344565af9d0 2
 
2.0%
5efd338d29af7dd94c0a6389 2
 
2.0%
5f03c774ef45e344565af9c9 2
 
2.0%
5f042e0bef45e344565af9d3 2
 
2.0%
Other values (48) 80
80.0%
2023-12-10T21:32:03.253039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 302
12.6%
f 265
11.0%
4 262
10.9%
d 204
8.5%
e 196
8.2%
3 186
7.8%
9 185
7.7%
a 160
6.7%
6 125
 
5.2%
0 125
 
5.2%
Other values (6) 390
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1451
60.5%
Lowercase Letter 949
39.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 302
20.8%
4 262
18.1%
3 186
12.8%
9 185
12.7%
6 125
8.6%
0 125
8.6%
2 118
 
8.1%
7 84
 
5.8%
8 49
 
3.4%
1 15
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
f 265
27.9%
d 204
21.5%
e 196
20.7%
a 160
16.9%
c 96
 
10.1%
b 28
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1451
60.5%
Latin 949
39.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5 302
20.8%
4 262
18.1%
3 186
12.8%
9 185
12.7%
6 125
8.6%
0 125
8.6%
2 118
 
8.1%
7 84
 
5.8%
8 49
 
3.4%
1 15
 
1.0%
Latin
ValueCountFrequency (%)
f 265
27.9%
d 204
21.5%
e 196
20.7%
a 160
16.9%
c 96
 
10.1%
b 28
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 302
12.6%
f 265
11.0%
4 262
10.9%
d 204
8.5%
e 196
8.2%
3 186
7.8%
9 185
7.7%
a 160
6.7%
6 125
 
5.2%
0 125
 
5.2%
Other values (6) 390
16.2%

장치번호
Text

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:32:03.642013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters2300
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)16.0%

Sample

1st rowDawon-B540-2ef432513ea6
2nd rowDawon-B540-2ef43250f653
3rd rowDawon-B540-2ef4325103cc
4th rowDawon-B540-2ef432513dce
5th rowDawon-B540-2ef43250f704
ValueCountFrequency (%)
dawon-b540-2ef432513ea6 2
 
2.0%
dawon-b540-2ef43250f6c8 2
 
2.0%
dawon-b540-2ef43250f76e 2
 
2.0%
dawon-b540-2ef43250efec 2
 
2.0%
dawon-b540-2ef432513373 2
 
2.0%
dawon-b540-2ef432510196 2
 
2.0%
dawon-b540-2ef43250fec6 2
 
2.0%
dawon-b540-2ef432513dce 2
 
2.0%
dawon-b540-2ef432513de4 2
 
2.0%
dawon-b540-2ef432513d73 2
 
2.0%
Other values (48) 80
80.0%
2023-12-10T21:32:04.283892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 210
 
9.1%
2 209
 
9.1%
5 204
 
8.9%
- 200
 
8.7%
0 174
 
7.6%
f 163
 
7.1%
3 158
 
6.9%
e 128
 
5.6%
a 116
 
5.0%
D 100
 
4.3%
Other values (12) 638
27.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1127
49.0%
Lowercase Letter 773
33.6%
Dash Punctuation 200
 
8.7%
Uppercase Letter 200
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 210
18.6%
2 209
18.5%
5 204
18.1%
0 174
15.4%
3 158
14.0%
1 71
 
6.3%
6 35
 
3.1%
7 31
 
2.8%
8 18
 
1.6%
9 17
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
f 163
21.1%
e 128
16.6%
a 116
15.0%
n 100
12.9%
o 100
12.9%
w 100
12.9%
c 32
 
4.1%
d 23
 
3.0%
b 11
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
D 100
50.0%
B 100
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1327
57.7%
Latin 973
42.3%

Most frequent character per script

Common
ValueCountFrequency (%)
4 210
15.8%
2 209
15.7%
5 204
15.4%
- 200
15.1%
0 174
13.1%
3 158
11.9%
1 71
 
5.4%
6 35
 
2.6%
7 31
 
2.3%
8 18
 
1.4%
Latin
ValueCountFrequency (%)
f 163
16.8%
e 128
13.2%
a 116
11.9%
D 100
10.3%
B 100
10.3%
n 100
10.3%
o 100
10.3%
w 100
10.3%
c 32
 
3.3%
d 23
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 210
 
9.1%
2 209
 
9.1%
5 204
 
8.9%
- 200
 
8.7%
0 174
 
7.6%
f 163
 
7.1%
3 158
 
6.9%
e 128
 
5.6%
a 116
 
5.0%
D 100
 
4.3%
Other values (12) 638
27.7%

로그 아이디
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:32:04.682383image/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

Unique100 ?
Unique (%)100.0%

Sample

1st row60648e7d8253773fcfc6b5ba
2nd row60648ec78253773fcfc6b75a
3rd row60648e7c8253773fcfc6b5b3
4th row60648ea78253773fcfc6b6a7
5th row60648e7d8253773fcfc6b5b8
ValueCountFrequency (%)
60648e7d8253773fcfc6b5ba 1
 
1.0%
60648e858253773fcfc6b5e5 1
 
1.0%
60648e878253773fcfc6b5f0 1
 
1.0%
60648ecf8253773fcfc6b787 1
 
1.0%
60648e858253773fcfc6b5e6 1
 
1.0%
60648e8a8253773fcfc6b600 1
 
1.0%
60648e868253773fcfc6b5e9 1
 
1.0%
60648e868253773fcfc6b5e7 1
 
1.0%
60648e878253773fcfc6b5f3 1
 
1.0%
60648ec38253773fcfc6b744 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T21:32:05.517150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 342
14.2%
7 266
11.1%
8 251
10.5%
c 242
10.1%
3 223
9.3%
f 218
9.1%
5 158
6.6%
b 128
 
5.3%
0 118
 
4.9%
e 115
 
4.8%
Other values (6) 339
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1628
67.8%
Lowercase Letter 772
32.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 342
21.0%
7 266
16.3%
8 251
15.4%
3 223
13.7%
5 158
9.7%
0 118
 
7.2%
4 113
 
6.9%
2 112
 
6.9%
9 24
 
1.5%
1 21
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
c 242
31.3%
f 218
28.2%
b 128
16.6%
e 115
14.9%
d 36
 
4.7%
a 33
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1628
67.8%
Latin 772
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
6 342
21.0%
7 266
16.3%
8 251
15.4%
3 223
13.7%
5 158
9.7%
0 118
 
7.2%
4 113
 
6.9%
2 112
 
6.9%
9 24
 
1.5%
1 21
 
1.3%
Latin
ValueCountFrequency (%)
c 242
31.3%
f 218
28.2%
b 128
16.6%
e 115
14.9%
d 36
 
4.7%
a 33
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 342
14.2%
7 266
11.1%
8 251
10.5%
c 242
10.1%
3 223
9.3%
f 218
9.1%
5 158
6.6%
b 128
 
5.3%
0 118
 
4.9%
e 115
 
4.8%
Other values (6) 339
14.1%

전류값
Real number (ℝ)

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16146
Minimum0.025
Maximum2.215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:32:05.831170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.025
5-th percentile0.02695
Q10.028
median0.045
Q30.15225
95-th percentile0.5351
Maximum2.215
Range2.19
Interquartile range (IQR)0.12425

Descriptive statistics

Standard deviation0.32753954
Coefficient of variation (CV)2.028611
Kurtosis30.01681
Mean0.16146
Median Absolute Deviation (MAD)0.018
Skewness5.1340574
Sum16.146
Variance0.10728215
MonotonicityNot monotonic
2023-12-10T21:32:06.102416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.027 11
 
11.0%
0.028 10
 
10.0%
0.029 5
 
5.0%
0.04 4
 
4.0%
0.026 4
 
4.0%
0.052 3
 
3.0%
0.031 3
 
3.0%
0.121 2
 
2.0%
0.043 2
 
2.0%
0.064 2
 
2.0%
Other values (48) 54
54.0%
ValueCountFrequency (%)
0.025 1
 
1.0%
0.026 4
 
4.0%
0.027 11
11.0%
0.028 10
10.0%
0.029 5
5.0%
0.03 1
 
1.0%
0.031 3
 
3.0%
0.032 2
 
2.0%
0.033 2
 
2.0%
0.034 1
 
1.0%
ValueCountFrequency (%)
2.215 1
1.0%
2.209 1
1.0%
0.541 2
2.0%
0.537 1
1.0%
0.535 1
1.0%
0.529 1
1.0%
0.522 1
1.0%
0.4 1
1.0%
0.393 1
1.0%
0.392 1
1.0%

Interactions

2023-12-10T21:32:01.331749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:32:06.259612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
로그일장치아이디장치번호로그 아이디전류값
로그일1.0000.0000.0001.0000.399
장치아이디0.0001.0001.0001.0001.000
장치번호0.0001.0001.0001.0001.000
로그 아이디1.0001.0001.0001.0001.000
전류값0.3991.0001.0001.0001.000
2023-12-10T21:32:06.425375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전류값로그일
전류값1.0000.212
로그일0.2121.000

Missing values

2023-12-10T21:32:01.536906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:32:01.786494image/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 아이디전류값
02021-04-01 00:00:005efd7640ed5c25f555635e35Dawon-B540-2ef432513ea660648e7d8253773fcfc6b5ba0.052
12021-04-01 00:00:005efd327c29af7dd94c0a6381Dawon-B540-2ef43250f65360648ec78253773fcfc6b75a0.043
22021-04-01 00:00:005f042e35ef45e344565af9d4Dawon-B540-2ef4325103cc60648e7c8253773fcfc6b5b30.178
32021-04-01 00:00:005efd338d29af7dd94c0a6389Dawon-B540-2ef432513dce60648ea78253773fcfc6b6a70.032
42021-04-01 00:00:015f042d89ef45e344565af9ceDawon-B540-2ef43250f70460648e7d8253773fcfc6b5b80.273
52021-04-01 00:00:015efd76b0ed5c25f555635e37Dawon-B540-2ef43250f07c60648eb98253773fcfc6b70a0.392
62021-04-01 00:00:015f042d9bef45e344565af9cfDawon-B540-2ef43250febf60648e7d8253773fcfc6b5b90.282
72021-04-01 00:00:015efd30b829af7dd94c0a637bDawon-B540-2ef43250f08e60648ea38253773fcfc6b68b0.123
82021-04-01 00:00:015f042d6bef45e344565af9cdDawon-B540-2ef43250f73160648e7f8253773fcfc6b5c50.028
92021-04-01 00:00:015efd2fca29af7dd94c0a6379Dawon-B540-2ef43250fbcf60648e7b8253773fcfc6b5ab0.234
로그일장치아이디장치번호로그 아이디전류값
902021-04-01 00:00:155efd342a29af7dd94c0a638cDawon-B540-2ef43251373060648e908253773fcfc6b6260.16
912021-04-01 00:00:155f042dc9ef45e344565af9d0Dawon-B540-2ef43250fec660648e8d8253773fcfc6b6120.064
922021-04-01 00:00:155efd330229af7dd94c0a6384Dawon-B540-2ef43251315960648ecd8253773fcfc6b77a0.046
932021-04-01 00:00:165efd340029af7dd94c0a638bDawon-B540-2ef43250f69460648ed78253773fcfc6b7b00.027
942021-04-01 00:00:165efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b660648e9d8253773fcfc6b6710.027
952021-04-01 00:00:165f04529fef45e344565af9e8Dawon-B540-2ef43250fe8260648ed48253773fcfc6b7a40.029
962021-04-01 00:00:165efd349f29af7dd94c0a638eDawon-B540-2ef43250ff2760648e9d8253773fcfc6b66a0.028
972021-04-01 00:00:165f042f4aef45e344565af9d9Dawon-B540-2ef43250fe8a60648e8d8253773fcfc6b6110.137
982021-04-01 00:00:165efd428729af7dd94c0a63a0Dawon-B540-2ef43251316960648e888253773fcfc6b5f50.029
992021-04-01 00:00:165f042d11ef45e344565af9cbDawon-B540-2ef4325102f860648e8d8253773fcfc6b6140.152