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 13:40:39.964048
Analysis finished2023-12-10 13:40:40.576853
Duration0.61 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

2023-12-10T22:40:40.685342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:40.828017image/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

2023-12-10T22:40:40.969929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:41.107772image/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
2023-12-10T22:40:41.339097image/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 row5f86b7a6aadf2274705bd2ca
2nd row5f86b7a6aadf2274705bd2cb
3rd row5f86b7a6aadf2274705bd2cc
4th row5f86b7a6aadf2274705bd2cd
5th row5f86b7a6aadf2274705bd2ce
ValueCountFrequency (%)
5f86b7a6aadf2274705bd2ca 1
 
1.0%
5f86b7a6aadf2274705bd308 1
 
1.0%
5f86b7a6aadf2274705bd313 1
 
1.0%
5f86b7a6aadf2274705bd312 1
 
1.0%
5f86b7a6aadf2274705bd311 1
 
1.0%
5f86b7a6aadf2274705bd310 1
 
1.0%
5f86b7a6aadf2274705bd30f 1
 
1.0%
5f86b7a6aadf2274705bd30e 1
 
1.0%
5f86b7a6aadf2274705bd30d 1
 
1.0%
5f86b7a6aadf2274705bd30c 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:40:41.844792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 307
12.8%
7 306
12.8%
2 274
11.4%
d 223
9.3%
f 222
9.2%
b 207
8.6%
5 206
8.6%
6 206
8.6%
0 122
 
5.1%
8 106
 
4.4%
Other values (6) 221
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1406
58.6%
Lowercase Letter 994
41.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 306
21.8%
2 274
19.5%
5 206
14.7%
6 206
14.7%
0 122
 
8.7%
8 106
 
7.5%
4 106
 
7.5%
3 52
 
3.7%
1 22
 
1.6%
9 6
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 307
30.9%
d 223
22.4%
f 222
22.3%
b 207
20.8%
e 22
 
2.2%
c 13
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1406
58.6%
Latin 994
41.4%

Most frequent character per script

Common
ValueCountFrequency (%)
7 306
21.8%
2 274
19.5%
5 206
14.7%
6 206
14.7%
0 122
 
8.7%
8 106
 
7.5%
4 106
 
7.5%
3 52
 
3.7%
1 22
 
1.6%
9 6
 
0.4%
Latin
ValueCountFrequency (%)
a 307
30.9%
d 223
22.4%
f 222
22.3%
b 207
20.8%
e 22
 
2.2%
c 13
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 307
12.8%
7 306
12.8%
2 274
11.4%
d 223
9.3%
f 222
9.2%
b 207
8.6%
5 206
8.6%
6 206
8.6%
0 122
 
5.1%
8 106
 
4.4%
Other values (6) 221
9.2%

기록 시각
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:40:42.334240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters5600
Distinct characters31
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 rowTue Sep 01 2020 00:00:04 GMT+0900 (Korean Standard Time)
2nd rowTue Sep 01 2020 00:00:14 GMT+0900 (Korean Standard Time)
3rd rowTue Sep 01 2020 00:00:24 GMT+0900 (Korean Standard Time)
4th rowTue Sep 01 2020 00:00:34 GMT+0900 (Korean Standard Time)
5th rowTue Sep 01 2020 00:00:44 GMT+0900 (Korean Standard Time)
ValueCountFrequency (%)
tue 100
11.1%
gmt+0900 100
11.1%
time 100
11.1%
standard 100
11.1%
korean 100
11.1%
sep 100
11.1%
2020 100
11.1%
01 100
11.1%
00:13:54 1
 
0.1%
00:00:14 1
 
0.1%
Other values (98) 98
10.9%
2023-12-10T22:40:42.977603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 879
15.7%
800
14.3%
e 400
 
7.1%
T 300
 
5.4%
a 300
 
5.4%
2 224
 
4.0%
S 200
 
3.6%
r 200
 
3.6%
d 200
 
3.6%
n 200
 
3.6%
Other values (21) 1897
33.9%

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 (%)
e 400
21.1%
a 300
15.8%
r 200
10.5%
d 200
10.5%
n 200
10.5%
m 100
 
5.3%
i 100
 
5.3%
t 100
 
5.3%
o 100
 
5.3%
u 100
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 879
54.9%
2 224
 
14.0%
1 180
 
11.2%
4 128
 
8.0%
9 106
 
6.6%
5 28
 
1.8%
3 22
 
1.4%
6 12
 
0.8%
7 12
 
0.8%
8 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
T 300
37.5%
S 200
25.0%
K 100
 
12.5%
M 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%
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 (%)
e 400
14.8%
T 300
11.1%
a 300
11.1%
S 200
 
7.4%
r 200
 
7.4%
d 200
 
7.4%
n 200
 
7.4%
m 100
 
3.7%
i 100
 
3.7%
t 100
 
3.7%
Other values (6) 600
22.2%
Common
ValueCountFrequency (%)
0 879
30.3%
800
27.6%
2 224
 
7.7%
: 200
 
6.9%
1 180
 
6.2%
4 128
 
4.4%
9 106
 
3.7%
) 100
 
3.4%
( 100
 
3.4%
+ 100
 
3.4%
Other values (5) 83
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 879
15.7%
800
14.3%
e 400
 
7.1%
T 300
 
5.4%
a 300
 
5.4%
2 224
 
4.0%
S 200
 
3.6%
r 200
 
3.6%
d 200
 
3.6%
n 200
 
3.6%
Other values (21) 1897
33.9%

전류
Real number (ℝ)

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05476
Minimum0.052
Maximum0.057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:40:43.137806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.052
5-th percentile0.053
Q10.054
median0.055
Q30.05525
95-th percentile0.056
Maximum0.057
Range0.005
Interquartile range (IQR)0.00125

Descriptive statistics

Standard deviation0.0011292261
Coefficient of variation (CV)0.020621367
Kurtosis-0.14682409
Mean0.05476
Median Absolute Deviation (MAD)0.001
Skewness-0.37024983
Sum5.476
Variance1.2751515 × 10-6
MonotonicityNot monotonic
2023-12-10T22:40:43.282574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.055 40
40.0%
0.056 21
21.0%
0.054 20
20.0%
0.053 12
 
12.0%
0.057 4
 
4.0%
0.052 3
 
3.0%
ValueCountFrequency (%)
0.052 3
 
3.0%
0.053 12
 
12.0%
0.054 20
20.0%
0.055 40
40.0%
0.056 21
21.0%
0.057 4
 
4.0%
ValueCountFrequency (%)
0.057 4
 
4.0%
0.056 21
21.0%
0.055 40
40.0%
0.054 20
20.0%
0.053 12
 
12.0%
0.052 3
 
3.0%

Interactions

2023-12-10T22:40:40.192736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:40:43.395159image/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

2023-12-10T22:40:40.367976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:40:40.519968image/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-B540-2ef43250f0b65f86b7a6aadf2274705bd2caTue Sep 01 2020 00:00:04 GMT+0900 (Korean Standard Time)0.053
15efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2cbTue Sep 01 2020 00:00:14 GMT+0900 (Korean Standard Time)0.053
25efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2ccTue Sep 01 2020 00:00:24 GMT+0900 (Korean Standard Time)0.052
35efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2cdTue Sep 01 2020 00:00:34 GMT+0900 (Korean Standard Time)0.054
45efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2ceTue Sep 01 2020 00:00:44 GMT+0900 (Korean Standard Time)0.055
55efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2cfTue Sep 01 2020 00:00:54 GMT+0900 (Korean Standard Time)0.053
65efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2d0Tue Sep 01 2020 00:01:04 GMT+0900 (Korean Standard Time)0.054
75efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2d1Tue Sep 01 2020 00:01:14 GMT+0900 (Korean Standard Time)0.056
85efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2d2Tue Sep 01 2020 00:01:24 GMT+0900 (Korean Standard Time)0.055
95efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd2d3Tue Sep 01 2020 00:01:34 GMT+0900 (Korean Standard Time)0.055
로그 아이디장치 아이디장치 번호기록 시각전류
905efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd324Tue Sep 01 2020 00:16:54 GMT+0900 (Korean Standard Time)0.054
915efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd325Tue Sep 01 2020 00:17:04 GMT+0900 (Korean Standard Time)0.055
925efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd326Tue Sep 01 2020 00:17:14 GMT+0900 (Korean Standard Time)0.053
935efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd327Tue Sep 01 2020 00:17:24 GMT+0900 (Korean Standard Time)0.056
945efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd328Tue Sep 01 2020 00:17:34 GMT+0900 (Korean Standard Time)0.055
955efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd329Tue Sep 01 2020 00:17:44 GMT+0900 (Korean Standard Time)0.055
965efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd32aTue Sep 01 2020 00:17:54 GMT+0900 (Korean Standard Time)0.056
975efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd32bTue Sep 01 2020 00:18:04 GMT+0900 (Korean Standard Time)0.053
985efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd32cTue Sep 01 2020 00:18:14 GMT+0900 (Korean Standard Time)0.054
995efd36a629af7dd94c0a6392Dawon-B540-2ef43250f0b65f86b7a6aadf2274705bd32dTue Sep 01 2020 00:18:24 GMT+0900 (Korean Standard Time)0.053