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

Categorical2
Text2
Numeric1

Alerts

로그 아이디 has constant value ""Constant
장치 아이디 has constant value ""Constant
장치 번호 has unique valuesUnique
기록 시각 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:40:48.541803
Analysis finished2023-12-10 13:40:49.088080
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

로그 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5efd36a629af7dd94c0a6392
100 

Length

Max length24
Median length24
Mean length24
Min length24

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5efd36a629af7dd94c0a6392
2nd row5efd36a629af7dd94c0a6392
3rd row5efd36a629af7dd94c0a6392
4th row5efd36a629af7dd94c0a6392
5th row5efd36a629af7dd94c0a6392

Common Values

ValueCountFrequency (%)
5efd36a629af7dd94c0a6392 100
100.0%

Length

2023-12-10T22:40:49.193216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:49.326857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5efd36a629af7dd94c0a6392 100
100.0%

장치 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Dawon-B540-2ef43250f0b6
100 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDawon-B540-2ef43250f0b6
2nd rowDawon-B540-2ef43250f0b6
3rd rowDawon-B540-2ef43250f0b6
4th rowDawon-B540-2ef43250f0b6
5th rowDawon-B540-2ef43250f0b6

Common Values

ValueCountFrequency (%)
Dawon-B540-2ef43250f0b6 100
100.0%

Length

2023-12-10T22:40:49.468099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:49.573619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dawon-b540-2ef43250f0b6 100
100.0%

장치 번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:40:49.844054image/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 row5f86cec2aadf2274704901e2
2nd row5f86cec2aadf2274704901e3
3rd row5f86cec2aadf2274704901e4
4th row5f86cec2aadf2274704901e5
5th row5f86cec2aadf2274704901e6
ValueCountFrequency (%)
5f86cec2aadf2274704901e2 1
 
1.0%
5f86cec2aadf227470490220 1
 
1.0%
5f86cec2aadf22747049022b 1
 
1.0%
5f86cec2aadf22747049022a 1
 
1.0%
5f86cec2aadf227470490229 1
 
1.0%
5f86cec2aadf227470490228 1
 
1.0%
5f86cec2aadf227470490227 1
 
1.0%
5f86cec2aadf227470490226 1
 
1.0%
5f86cec2aadf227470490225 1
 
1.0%
5f86cec2aadf227470490224 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:40:50.320245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 393
16.4%
f 222
9.2%
0 222
9.2%
4 213
8.9%
c 206
8.6%
a 206
8.6%
7 206
8.6%
e 120
 
5.0%
5 107
 
4.5%
8 106
 
4.4%
Other values (6) 399
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1534
63.9%
Lowercase Letter 866
36.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 393
25.6%
0 222
14.5%
4 213
13.9%
7 206
13.4%
5 107
 
7.0%
8 106
 
6.9%
6 106
 
6.9%
9 106
 
6.9%
1 52
 
3.4%
3 23
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
f 222
25.6%
c 206
23.8%
a 206
23.8%
e 120
13.9%
d 106
12.2%
b 6
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 1534
63.9%
Latin 866
36.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 393
25.6%
0 222
14.5%
4 213
13.9%
7 206
13.4%
5 107
 
7.0%
8 106
 
6.9%
6 106
 
6.9%
9 106
 
6.9%
1 52
 
3.4%
3 23
 
1.5%
Latin
ValueCountFrequency (%)
f 222
25.6%
c 206
23.8%
a 206
23.8%
e 120
13.9%
d 106
12.2%
b 6
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 393
16.4%
f 222
9.2%
0 222
9.2%
4 213
8.9%
c 206
8.6%
a 206
8.6%
7 206
8.6%
e 120
 
5.0%
5 107
 
4.5%
8 106
 
4.4%
Other values (6) 399
16.6%

기록 시각
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:40:50.737591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters5600
Distinct characters33
Distinct categories8 ?
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 rowThu Oct 01 2020 00:00:00 GMT+0900 (Korean Standard Time)
2nd rowThu Oct 01 2020 00:00:10 GMT+0900 (Korean Standard Time)
3rd rowThu Oct 01 2020 00:00:20 GMT+0900 (Korean Standard Time)
4th rowThu Oct 01 2020 00:00:30 GMT+0900 (Korean Standard Time)
5th rowThu Oct 01 2020 00:00:40 GMT+0900 (Korean Standard Time)
ValueCountFrequency (%)
thu 100
11.1%
gmt+0900 100
11.1%
time 100
11.1%
standard 100
11.1%
korean 100
11.1%
oct 100
11.1%
2020 100
11.1%
01 100
11.1%
00:12:00 1
 
0.1%
00:00:10 1
 
0.1%
Other values (98) 98
10.9%
2023-12-10T22:40:51.330629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 989
17.7%
800
14.3%
T 300
 
5.4%
a 300
 
5.4%
2 229
 
4.1%
n 200
 
3.6%
d 200
 
3.6%
: 200
 
3.6%
e 200
 
3.6%
r 200
 
3.6%
Other values (23) 1982
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1900
33.9%
Decimal Number 1600
28.6%
Space Separator 800
14.3%
Uppercase Letter 800
14.3%
Other Punctuation 200
 
3.6%
Close Punctuation 100
 
1.8%
Open Punctuation 100
 
1.8%
Math Symbol 100
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 300
15.8%
n 200
10.5%
d 200
10.5%
e 200
10.5%
r 200
10.5%
t 200
10.5%
i 100
 
5.3%
m 100
 
5.3%
o 100
 
5.3%
h 100
 
5.3%
Other values (2) 200
10.5%
Decimal Number
ValueCountFrequency (%)
0 989
61.8%
2 229
 
14.3%
1 169
 
10.6%
9 106
 
6.6%
3 29
 
1.8%
4 28
 
1.8%
5 28
 
1.8%
6 10
 
0.6%
8 6
 
0.4%
7 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
T 300
37.5%
S 100
 
12.5%
K 100
 
12.5%
M 100
 
12.5%
G 100
 
12.5%
O 100
 
12.5%
Space Separator
ValueCountFrequency (%)
800
100.0%
Other Punctuation
ValueCountFrequency (%)
: 200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Math Symbol
ValueCountFrequency (%)
+ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2900
51.8%
Latin 2700
48.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 300
 
11.1%
a 300
 
11.1%
n 200
 
7.4%
d 200
 
7.4%
e 200
 
7.4%
r 200
 
7.4%
t 200
 
7.4%
i 100
 
3.7%
S 100
 
3.7%
m 100
 
3.7%
Other values (8) 800
29.6%
Common
ValueCountFrequency (%)
0 989
34.1%
800
27.6%
2 229
 
7.9%
: 200
 
6.9%
1 169
 
5.8%
9 106
 
3.7%
) 100
 
3.4%
( 100
 
3.4%
+ 100
 
3.4%
3 29
 
1.0%
Other values (5) 78
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 989
17.7%
800
14.3%
T 300
 
5.4%
a 300
 
5.4%
2 229
 
4.1%
n 200
 
3.6%
d 200
 
3.6%
: 200
 
3.6%
e 200
 
3.6%
r 200
 
3.6%
Other values (23) 1982
35.4%

전류
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0549
Minimum0.052
Maximum0.058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:40:51.490230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.052
5-th percentile0.053
Q10.054
median0.055
Q30.056
95-th percentile0.056
Maximum0.058
Range0.006
Interquartile range (IQR)0.002

Descriptive statistics

Standard deviation0.0010298573
Coefficient of variation (CV)0.018758785
Kurtosis0.18441697
Mean0.0549
Median Absolute Deviation (MAD)0.001
Skewness0.090589697
Sum5.49
Variance1.0606061 × 10-6
MonotonicityNot monotonic
2023-12-10T22:40:51.627343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.055 34
34.0%
0.054 31
31.0%
0.056 25
25.0%
0.053 5
 
5.0%
0.057 3
 
3.0%
0.052 1
 
1.0%
0.058 1
 
1.0%
ValueCountFrequency (%)
0.052 1
 
1.0%
0.053 5
 
5.0%
0.054 31
31.0%
0.055 34
34.0%
0.056 25
25.0%
0.057 3
 
3.0%
0.058 1
 
1.0%
ValueCountFrequency (%)
0.058 1
 
1.0%
0.057 3
 
3.0%
0.056 25
25.0%
0.055 34
34.0%
0.054 31
31.0%
0.053 5
 
5.0%
0.052 1
 
1.0%

Interactions

2023-12-10T22:40:48.754555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:40:51.728847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치 번호기록 시각전류
장치 번호1.0001.0001.000
기록 시각1.0001.0001.000
전류1.0001.0001.000

Missing values

2023-12-10T22:40:48.903226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:40:49.035414image/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

로그 아이디장치 아이디장치 번호기록 시각전류
05efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e2Thu Oct 01 2020 00:00:00 GMT+0900 (Korean Standard Time)0.055
15efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e3Thu Oct 01 2020 00:00:10 GMT+0900 (Korean Standard Time)0.056
25efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e4Thu Oct 01 2020 00:00:20 GMT+0900 (Korean Standard Time)0.055
35efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e5Thu Oct 01 2020 00:00:30 GMT+0900 (Korean Standard Time)0.055
45efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e6Thu Oct 01 2020 00:00:40 GMT+0900 (Korean Standard Time)0.056
55efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e7Thu Oct 01 2020 00:00:50 GMT+0900 (Korean Standard Time)0.056
65efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e8Thu Oct 01 2020 00:01:00 GMT+0900 (Korean Standard Time)0.055
75efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901e9Thu Oct 01 2020 00:01:10 GMT+0900 (Korean Standard Time)0.054
85efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901eaThu Oct 01 2020 00:01:20 GMT+0900 (Korean Standard Time)0.055
95efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf2274704901ebThu Oct 01 2020 00:01:30 GMT+0900 (Korean Standard Time)0.056
로그 아이디장치 아이디장치 번호기록 시각전류
905efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf22747049023cThu Oct 01 2020 00:15:00 GMT+0900 (Korean Standard Time)0.054
915efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf22747049023dThu Oct 01 2020 00:15:10 GMT+0900 (Korean Standard Time)0.053
925efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf22747049023eThu Oct 01 2020 00:15:20 GMT+0900 (Korean Standard Time)0.057
935efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf22747049023fThu Oct 01 2020 00:15:30 GMT+0900 (Korean Standard Time)0.055
945efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf227470490240Thu Oct 01 2020 00:15:40 GMT+0900 (Korean Standard Time)0.056
955efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf227470490241Thu Oct 01 2020 00:15:50 GMT+0900 (Korean Standard Time)0.054
965efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf227470490242Thu Oct 01 2020 00:16:00 GMT+0900 (Korean Standard Time)0.058
975efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf227470490243Thu Oct 01 2020 00:16:10 GMT+0900 (Korean Standard Time)0.055
985efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf227470490244Thu Oct 01 2020 00:16:20 GMT+0900 (Korean Standard Time)0.056
995efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86cec2aadf227470490245Thu Oct 01 2020 00:16:30 GMT+0900 (Korean Standard Time)0.054