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 13:40:44.338432
Analysis finished2023-12-10 13:40:44.837688
Duration0.5 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

2023-12-10T22:40:44.915819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:45.015735image/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

2023-12-10T22:40:45.106365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:45.193524image/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
2023-12-10T22:40:45.355560image/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 row5f869246e5c454655cad6612
2nd row5f869246e5c454655cad6613
3rd row5f869246e5c454655cad6614
4th row5f869246e5c454655cad6615
5th row5f869246e5c454655cad6616
ValueCountFrequency (%)
5f869246e5c454655cad6612 1
 
1.0%
5f869246e5c454655cad6650 1
 
1.0%
5f869246e5c454655cad665b 1
 
1.0%
5f869246e5c454655cad665a 1
 
1.0%
5f869246e5c454655cad6659 1
 
1.0%
5f869246e5c454655cad6658 1
 
1.0%
5f869246e5c454655cad6657 1
 
1.0%
5f869246e5c454655cad6656 1
 
1.0%
5f869246e5c454655cad6655 1
 
1.0%
5f869246e5c454655cad6654 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:40:45.772676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 523
21.8%
6 522
21.8%
4 323
13.5%
c 206
 
8.6%
2 123
 
5.1%
f 106
 
4.4%
8 106
 
4.4%
9 106
 
4.4%
e 106
 
4.4%
a 106
 
4.4%
Other values (6) 173
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1764
73.5%
Lowercase Letter 636
 
26.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 523
29.6%
6 522
29.6%
4 323
18.3%
2 123
 
7.0%
8 106
 
6.0%
9 106
 
6.0%
3 23
 
1.3%
1 20
 
1.1%
7 12
 
0.7%
0 6
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
c 206
32.4%
f 106
16.7%
e 106
16.7%
a 106
16.7%
d 106
16.7%
b 6
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 1764
73.5%
Latin 636
 
26.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5 523
29.6%
6 522
29.6%
4 323
18.3%
2 123
 
7.0%
8 106
 
6.0%
9 106
 
6.0%
3 23
 
1.3%
1 20
 
1.1%
7 12
 
0.7%
0 6
 
0.3%
Latin
ValueCountFrequency (%)
c 206
32.4%
f 106
16.7%
e 106
16.7%
a 106
16.7%
d 106
16.7%
b 6
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 523
21.8%
6 522
21.8%
4 323
13.5%
c 206
 
8.6%
2 123
 
5.1%
f 106
 
4.4%
8 106
 
4.4%
9 106
 
4.4%
e 106
 
4.4%
a 106
 
4.4%
Other values (6) 173
 
7.2%

기록 시각
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:40:46.207491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters5600
Distinct characters32
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 rowSat Aug 01 2020 00:00:07 GMT+0900 (Korean Standard Time)
2nd rowSat Aug 01 2020 00:00:17 GMT+0900 (Korean Standard Time)
3rd rowSat Aug 01 2020 00:01:07 GMT+0900 (Korean Standard Time)
4th rowSat Aug 01 2020 00:01:17 GMT+0900 (Korean Standard Time)
5th rowSat Aug 01 2020 00:01:27 GMT+0900 (Korean Standard Time)
ValueCountFrequency (%)
sat 100
11.1%
gmt+0900 100
11.1%
time 100
11.1%
standard 100
11.1%
korean 100
11.1%
aug 100
11.1%
2020 100
11.1%
01 100
11.1%
00:25:37 1
 
0.1%
00:00:17 1
 
0.1%
Other values (98) 98
10.9%
2023-12-10T22:40:46.732885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 857
15.3%
800
 
14.3%
a 400
 
7.1%
2 255
 
4.6%
S 200
 
3.6%
T 200
 
3.6%
t 200
 
3.6%
d 200
 
3.6%
n 200
 
3.6%
e 200
 
3.6%
Other values (22) 2088
37.3%

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%
Math Symbol 100
 
1.8%
Open Punctuation 100
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 400
21.1%
t 200
10.5%
d 200
10.5%
n 200
10.5%
e 200
10.5%
r 200
10.5%
u 100
 
5.3%
m 100
 
5.3%
i 100
 
5.3%
g 100
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 857
53.6%
2 255
 
15.9%
1 151
 
9.4%
9 108
 
6.8%
7 108
 
6.8%
3 42
 
2.6%
5 32
 
2.0%
4 31
 
1.9%
8 10
 
0.6%
6 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
S 200
25.0%
T 200
25.0%
M 100
12.5%
A 100
12.5%
K 100
12.5%
G 100
12.5%
Space Separator
ValueCountFrequency (%)
800
100.0%
Other Punctuation
ValueCountFrequency (%)
: 200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Math Symbol
ValueCountFrequency (%)
+ 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%

Most occurring scripts

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

Most frequent character per script

Latin
ValueCountFrequency (%)
a 400
14.8%
S 200
 
7.4%
T 200
 
7.4%
t 200
 
7.4%
d 200
 
7.4%
n 200
 
7.4%
e 200
 
7.4%
r 200
 
7.4%
M 100
 
3.7%
u 100
 
3.7%
Other values (7) 700
25.9%
Common
ValueCountFrequency (%)
0 857
29.6%
800
27.6%
2 255
 
8.8%
: 200
 
6.9%
1 151
 
5.2%
9 108
 
3.7%
7 108
 
3.7%
) 100
 
3.4%
+ 100
 
3.4%
( 100
 
3.4%
Other values (5) 121
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 857
15.3%
800
 
14.3%
a 400
 
7.1%
2 255
 
4.6%
S 200
 
3.6%
T 200
 
3.6%
t 200
 
3.6%
d 200
 
3.6%
n 200
 
3.6%
e 200
 
3.6%
Other values (22) 2088
37.3%

전류
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05678
Minimum0.054
Maximum0.059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:40:46.922362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.054
5-th percentile0.055
Q10.056
median0.057
Q30.057
95-th percentile0.05805
Maximum0.059
Range0.005
Interquartile range (IQR)0.001

Descriptive statistics

Standard deviation0.001069126
Coefficient of variation (CV)0.01882927
Kurtosis-0.01991235
Mean0.05678
Median Absolute Deviation (MAD)0.001
Skewness-0.10331753
Sum5.678
Variance1.1430303 × 10-6
MonotonicityNot monotonic
2023-12-10T22:40:47.379709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.057 37
37.0%
0.056 29
29.0%
0.058 19
19.0%
0.055 8
 
8.0%
0.059 5
 
5.0%
0.054 2
 
2.0%
ValueCountFrequency (%)
0.054 2
 
2.0%
0.055 8
 
8.0%
0.056 29
29.0%
0.057 37
37.0%
0.058 19
19.0%
0.059 5
 
5.0%
ValueCountFrequency (%)
0.059 5
 
5.0%
0.058 19
19.0%
0.057 37
37.0%
0.056 29
29.0%
0.055 8
 
8.0%
0.054 2
 
2.0%

Interactions

2023-12-10T22:40:44.544817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:40:47.487621image/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

2023-12-10T22:40:44.681779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:40:44.795882image/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-B540-2ef43250f0b65f869246e5c454655cad6612Sat Aug 01 2020 00:00:07 GMT+0900 (Korean Standard Time)0.057
15efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6613Sat Aug 01 2020 00:00:17 GMT+0900 (Korean Standard Time)0.058
25efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6614Sat Aug 01 2020 00:01:07 GMT+0900 (Korean Standard Time)0.058
35efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6615Sat Aug 01 2020 00:01:17 GMT+0900 (Korean Standard Time)0.057
45efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6616Sat Aug 01 2020 00:01:27 GMT+0900 (Korean Standard Time)0.057
55efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6617Sat Aug 01 2020 00:01:37 GMT+0900 (Korean Standard Time)0.057
65efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6618Sat Aug 01 2020 00:02:27 GMT+0900 (Korean Standard Time)0.058
75efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6619Sat Aug 01 2020 00:02:37 GMT+0900 (Korean Standard Time)0.058
85efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad661aSat Aug 01 2020 00:02:47 GMT+0900 (Korean Standard Time)0.057
95efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad661bSat Aug 01 2020 00:02:57 GMT+0900 (Korean Standard Time)0.057
로그 아이디장치 아이디장치 번호기록 시각전류
905efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad666cSat Aug 01 2020 00:31:37 GMT+0900 (Korean Standard Time)0.056
915efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad666dSat Aug 01 2020 00:32:27 GMT+0900 (Korean Standard Time)0.057
925efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad666eSat Aug 01 2020 00:32:37 GMT+0900 (Korean Standard Time)0.059
935efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad666fSat Aug 01 2020 00:33:07 GMT+0900 (Korean Standard Time)0.058
945efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6670Sat Aug 01 2020 00:33:17 GMT+0900 (Korean Standard Time)0.058
955efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6671Sat Aug 01 2020 00:33:27 GMT+0900 (Korean Standard Time)0.056
965efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6672Sat Aug 01 2020 00:33:37 GMT+0900 (Korean Standard Time)0.057
975efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6673Sat Aug 01 2020 00:33:47 GMT+0900 (Korean Standard Time)0.056
985efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6674Sat Aug 01 2020 00:34:27 GMT+0900 (Korean Standard Time)0.056
995efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f869246e5c454655cad6675Sat Aug 01 2020 00:34:37 GMT+0900 (Korean Standard Time)0.055