Overview

Dataset statistics

Number of variables7
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory60.7 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description한국인터넷진흥원 대표홈페이지DB에 저장된 장비정보입니다.
Author한국인터넷진흥원
URLhttps://www.data.go.kr/data/15092574/fileData.do

Alerts

장비타입1 is highly overall correlated with 장비타입2High correlation
장비타입2 is highly overall correlated with 장비타입1 and 1 other fieldsHigh correlation
제작사 is highly overall correlated with 장비타입2High correlation

Reproduction

Analysis started2023-12-13 00:43:10.237895
Analysis finished2023-12-13 00:43:11.537347
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비아이디
Real number (ℝ)

Distinct48
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.886076
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-13T09:43:11.591846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q114
median26
Q335
95-th percentile46.3
Maximum55
Range54
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.197316
Coefficient of variation (CV)0.57049235
Kurtosis-0.77085394
Mean24.886076
Median Absolute Deviation (MAD)10
Skewness-0.034250716
Sum1966
Variance201.56378
MonotonicityIncreasing
2023-12-13T09:43:11.696352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 5
 
6.3%
31 3
 
3.8%
25 3
 
3.8%
33 3
 
3.8%
38 2
 
2.5%
37 2
 
2.5%
36 2
 
2.5%
35 2
 
2.5%
34 2
 
2.5%
20 2
 
2.5%
Other values (38) 53
67.1%
ValueCountFrequency (%)
1 5
6.3%
2 1
 
1.3%
3 1
 
1.3%
4 2
 
2.5%
5 1
 
1.3%
6 1
 
1.3%
7 1
 
1.3%
8 2
 
2.5%
9 1
 
1.3%
10 2
 
2.5%
ValueCountFrequency (%)
55 1
1.3%
54 1
1.3%
53 1
1.3%
49 1
1.3%
46 1
1.3%
45 1
1.3%
44 1
1.3%
42 1
1.3%
41 2
2.5%
40 1
1.3%

장비타입1
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9367089
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-13T09:43:11.775369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.2045099
Coefficient of variation (CV)0.62440291
Kurtosis-1.6630847
Mean9.9367089
Median Absolute Deviation (MAD)0
Skewness-0.49358898
Sum785
Variance38.495943
MonotonicityNot monotonic
2023-12-13T09:43:11.846340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15 46
58.2%
1 17
 
21.5%
4 10
 
12.7%
8 2
 
2.5%
3 2
 
2.5%
9 1
 
1.3%
7 1
 
1.3%
ValueCountFrequency (%)
1 17
 
21.5%
3 2
 
2.5%
4 10
 
12.7%
7 1
 
1.3%
8 2
 
2.5%
9 1
 
1.3%
15 46
58.2%
ValueCountFrequency (%)
15 46
58.2%
9 1
 
1.3%
8 2
 
2.5%
7 1
 
1.3%
4 10
 
12.7%
3 2
 
2.5%
1 17
 
21.5%

장비타입2
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1898734
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-13T09:43:11.923513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q311
95-th percentile13
Maximum13
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4754669
Coefficient of variation (CV)0.48338361
Kurtosis-0.90502432
Mean7.1898734
Median Absolute Deviation (MAD)2
Skewness0.028134051
Sum568
Variance12.07887
MonotonicityNot monotonic
2023-12-13T09:43:12.010363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 18
22.8%
7 18
22.8%
11 16
20.3%
2 6
 
7.6%
1 5
 
6.3%
6 5
 
6.3%
13 5
 
6.3%
12 4
 
5.1%
8 2
 
2.5%
ValueCountFrequency (%)
1 5
 
6.3%
2 6
 
7.6%
5 18
22.8%
6 5
 
6.3%
7 18
22.8%
8 2
 
2.5%
11 16
20.3%
12 4
 
5.1%
13 5
 
6.3%
ValueCountFrequency (%)
13 5
 
6.3%
12 4
 
5.1%
11 16
20.3%
8 2
 
2.5%
7 18
22.8%
6 5
 
6.3%
5 18
22.8%
2 6
 
7.6%
1 5
 
6.3%

장비명
Text

Distinct48
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T09:43:12.202406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length26
Mean length9.2025316
Min length2

Characters and Unicode

Total characters727
Distinct characters122
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)48.1%

Sample

1st row넷앤드휴먼인터페이스
2nd rowDesktop (Performance Test)
3rd rowHP
4th rowSpirent
5th rowDesktop (Performance Test)
ValueCountFrequency (%)
텍트로닉스 10
 
8.1%
spirent 9
 
7.3%
emc 6
 
4.8%
test 5
 
4.0%
hp 3
 
2.4%
ixia 3
 
2.4%
analyzer 3
 
2.4%
주니퍼 3
 
2.4%
wildpack 2
 
1.6%
card 2
 
1.6%
Other values (71) 78
62.9%
2023-12-13T09:43:12.508315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 51
 
7.0%
45
 
6.2%
t 43
 
5.9%
r 39
 
5.4%
i 37
 
5.1%
n 26
 
3.6%
o 23
 
3.2%
a 23
 
3.2%
S 21
 
2.9%
p 21
 
2.9%
Other values (112) 398
54.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 367
50.5%
Other Letter 153
21.0%
Uppercase Letter 132
 
18.2%
Space Separator 45
 
6.2%
Decimal Number 16
 
2.2%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Modifier Symbol 2
 
0.3%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 14
 
9.2%
텍 11
 
7.2%
트 10
 
6.5%
로 10
 
6.5%
닉 10
 
6.5%
비 8
 
5.2%
장 5
 
3.3%
니 4
 
2.6%
이 4
 
2.6%
터 3
 
2.0%
Other values (57) 74
48.4%
Lowercase Letter
ValueCountFrequency (%)
e 51
13.9%
t 43
11.7%
r 39
10.6%
i 37
10.1%
n 26
 
7.1%
o 23
 
6.3%
a 23
 
6.3%
p 21
 
5.7%
s 18
 
4.9%
l 18
 
4.9%
Other values (11) 68
18.5%
Uppercase Letter
ValueCountFrequency (%)
S 21
15.9%
C 15
11.4%
A 13
9.8%
M 12
9.1%
E 10
 
7.6%
P 9
 
6.8%
T 8
 
6.1%
I 8
 
6.1%
D 5
 
3.8%
H 4
 
3.0%
Other values (11) 27
20.5%
Decimal Number
ValueCountFrequency (%)
0 6
37.5%
2 3
18.8%
8 2
 
12.5%
9 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%
1 1
 
6.2%
7 1
 
6.2%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 499
68.6%
Hangul 153
 
21.0%
Common 75
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 14
 
9.2%
텍 11
 
7.2%
트 10
 
6.5%
로 10
 
6.5%
닉 10
 
6.5%
비 8
 
5.2%
장 5
 
3.3%
니 4
 
2.6%
이 4
 
2.6%
터 3
 
2.0%
Other values (57) 74
48.4%
Latin
ValueCountFrequency (%)
e 51
 
10.2%
t 43
 
8.6%
r 39
 
7.8%
i 37
 
7.4%
n 26
 
5.2%
o 23
 
4.6%
a 23
 
4.6%
S 21
 
4.2%
p 21
 
4.2%
s 18
 
3.6%
Other values (32) 197
39.5%
Common
ValueCountFrequency (%)
45
60.0%
0 6
 
8.0%
( 5
 
6.7%
) 5
 
6.7%
2 3
 
4.0%
˙ 2
 
2.7%
8 2
 
2.7%
- 2
 
2.7%
9 1
 
1.3%
6 1
 
1.3%
Other values (3) 3
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
78.7%
Hangul 152
 
20.9%
Modifier Letters 2
 
0.3%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 51
 
8.9%
45
 
7.9%
t 43
 
7.5%
r 39
 
6.8%
i 37
 
6.5%
n 26
 
4.5%
o 23
 
4.0%
a 23
 
4.0%
S 21
 
3.7%
p 21
 
3.7%
Other values (44) 243
42.5%
Hangul
ValueCountFrequency (%)
스 14
 
9.2%
텍 11
 
7.2%
트 10
 
6.6%
로 10
 
6.6%
닉 10
 
6.6%
비 8
 
5.3%
장 5
 
3.3%
니 4
 
2.6%
이 4
 
2.6%
터 3
 
2.0%
Other values (56) 73
48.0%
Modifier Letters
ValueCountFrequency (%)
˙ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

장비상품명
Text

Distinct70
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T09:43:12.734667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length10.734177
Min length4

Characters and Unicode

Total characters848
Distinct characters88
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)79.7%

Sample

1st rowHI-Ware
2nd rowVostro 460
3rd rowHP9000 L2000 Enterprise Server
4th rowAvalanche 2700
5th rowVostro 460
ValueCountFrequency (%)
2식 7
 
4.6%
smartbit 4
 
2.6%
6000b 4
 
2.6%
pesd 3
 
2.0%
ex3200 2
 
1.3%
2700 2
 
1.3%
ixia 2
 
1.3%
psurge 2
 
1.3%
8000 2
 
1.3%
power 2
 
1.3%
Other values (99) 121
80.1%
2023-12-13T09:43:13.092192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 115
 
13.6%
72
 
8.5%
r 32
 
3.8%
e 30
 
3.5%
P 30
 
3.5%
1 28
 
3.3%
S 27
 
3.2%
2 27
 
3.2%
t 25
 
2.9%
6 22
 
2.6%
Other values (78) 440
51.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 259
30.5%
Lowercase Letter 236
27.8%
Uppercase Letter 231
27.2%
Space Separator 72
 
8.5%
Other Letter 39
 
4.6%
Dash Punctuation 8
 
0.9%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 11
28.2%
프 3
 
7.7%
스 2
 
5.1%
시 2
 
5.1%
험 1
 
2.6%
기 1
 
2.6%
실 1
 
2.6%
오 1
 
2.6%
내 1
 
2.6%
로 1
 
2.6%
Other values (15) 15
38.5%
Lowercase Letter
ValueCountFrequency (%)
r 32
13.6%
e 30
12.7%
t 25
10.6%
a 21
8.9%
i 19
 
8.1%
o 16
 
6.8%
n 15
 
6.4%
s 10
 
4.2%
p 9
 
3.8%
m 9
 
3.8%
Other values (14) 50
21.2%
Uppercase Letter
ValueCountFrequency (%)
P 30
13.0%
S 27
11.7%
E 20
 
8.7%
M 20
 
8.7%
T 18
 
7.8%
A 13
 
5.6%
B 13
 
5.6%
C 11
 
4.8%
X 10
 
4.3%
L 8
 
3.5%
Other values (14) 61
26.4%
Decimal Number
ValueCountFrequency (%)
0 115
44.4%
1 28
 
10.8%
2 27
 
10.4%
6 22
 
8.5%
3 14
 
5.4%
8 13
 
5.0%
7 13
 
5.0%
5 12
 
4.6%
4 11
 
4.2%
9 4
 
1.5%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 468
55.2%
Common 341
40.2%
Hangul 39
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 32
 
6.8%
e 30
 
6.4%
P 30
 
6.4%
S 27
 
5.8%
t 25
 
5.3%
a 21
 
4.5%
E 20
 
4.3%
M 20
 
4.3%
i 19
 
4.1%
T 18
 
3.8%
Other values (39) 226
48.3%
Hangul
ValueCountFrequency (%)
식 11
28.2%
프 3
 
7.7%
스 2
 
5.1%
시 2
 
5.1%
험 1
 
2.6%
기 1
 
2.6%
실 1
 
2.6%
오 1
 
2.6%
내 1
 
2.6%
로 1
 
2.6%
Other values (15) 15
38.5%
Common
ValueCountFrequency (%)
0 115
33.7%
72
21.1%
1 28
 
8.2%
2 27
 
7.9%
6 22
 
6.5%
3 14
 
4.1%
8 13
 
3.8%
7 13
 
3.8%
5 12
 
3.5%
4 11
 
3.2%
Other values (4) 14
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 808
95.3%
Hangul 39
 
4.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 115
 
14.2%
72
 
8.9%
r 32
 
4.0%
e 30
 
3.7%
P 30
 
3.7%
1 28
 
3.5%
S 27
 
3.3%
2 27
 
3.3%
t 25
 
3.1%
6 22
 
2.7%
Other values (52) 400
49.5%
Hangul
ValueCountFrequency (%)
식 11
28.2%
프 3
 
7.7%
스 2
 
5.1%
시 2
 
5.1%
험 1
 
2.6%
기 1
 
2.6%
실 1
 
2.6%
오 1
 
2.6%
내 1
 
2.6%
로 1
 
2.6%
Other values (15) 15
38.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

장비설명
Text

Distinct77
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T09:43:13.254834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length196
Median length77
Mean length57.113924
Min length4

Characters and Unicode

Total characters4512
Distinct characters346
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)94.9%

Sample

1st row접근제어, NMS
2nd rowDesktop (Performance Test)
3rd rowDisk Array (Biometrics DB Backup)
4th rowL4-L7 네트워크 성능 계측장비 Fiber 1G * 4포트
5th rowDesktop (Performance Test)
ValueCountFrequency (%)
53
 
5.3%
및 25
 
2.5%
1g 24
 
2.4%
10g 19
 
1.9%
비디오 19
 
1.9%
○ 18
 
1.8%
fiber 16
 
1.6%
네트워크 14
 
1.4%
성능 14
 
1.4%
copper 12
 
1.2%
Other values (469) 779
78.4%
2023-12-13T09:43:13.556242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
977
 
21.7%
r 123
 
2.7%
o 98
 
2.2%
, 86
 
1.9%
e 80
 
1.8%
1 78
 
1.7%
68
 
1.5%
t 68
 
1.5%
G 60
 
1.3%
- 57
 
1.3%
Other values (336) 2817
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1829
40.5%
Space Separator 977
21.7%
Lowercase Letter 629
 
13.9%
Uppercase Letter 428
 
9.5%
Decimal Number 299
 
6.6%
Other Punctuation 164
 
3.6%
Control 68
 
1.5%
Dash Punctuation 57
 
1.3%
Other Symbol 19
 
0.4%
Close Punctuation 18
 
0.4%
Other values (3) 24
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 52
 
2.8%
스 41
 
2.2%
디 38
 
2.1%
기 37
 
2.0%
트 35
 
1.9%
장 33
 
1.8%
에 32
 
1.7%
을 32
 
1.7%
오 31
 
1.7%
전 29
 
1.6%
Other values (264) 1469
80.3%
Lowercase Letter
ValueCountFrequency (%)
r 123
19.6%
o 98
15.6%
e 80
12.7%
t 68
10.8%
p 53
8.4%
i 45
 
7.2%
b 28
 
4.5%
s 19
 
3.0%
n 13
 
2.1%
a 12
 
1.9%
Other values (14) 90
14.3%
Uppercase Letter
ValueCountFrequency (%)
G 60
14.0%
P 56
13.1%
L 47
11.0%
C 47
11.0%
D 31
 
7.2%
F 26
 
6.1%
S 25
 
5.8%
B 19
 
4.4%
T 15
 
3.5%
I 12
 
2.8%
Other values (13) 90
21.0%
Decimal Number
ValueCountFrequency (%)
1 78
26.1%
0 55
18.4%
2 47
15.7%
4 46
15.4%
6 26
 
8.7%
8 18
 
6.0%
3 14
 
4.7%
7 9
 
3.0%
5 4
 
1.3%
9 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 86
52.4%
. 29
 
17.7%
/ 24
 
14.6%
: 22
 
13.4%
* 2
 
1.2%
% 1
 
0.6%
Other Symbol
ValueCountFrequency (%)
○ 18
94.7%
° 1
 
5.3%
Space Separator
ValueCountFrequency (%)
977
100.0%
Control
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1829
40.5%
Common 1626
36.0%
Latin 1057
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 52
 
2.8%
스 41
 
2.2%
디 38
 
2.1%
기 37
 
2.0%
트 35
 
1.9%
장 33
 
1.8%
에 32
 
1.7%
을 32
 
1.7%
오 31
 
1.7%
전 29
 
1.6%
Other values (264) 1469
80.3%
Latin
ValueCountFrequency (%)
r 123
 
11.6%
o 98
 
9.3%
e 80
 
7.6%
t 68
 
6.4%
G 60
 
5.7%
P 56
 
5.3%
p 53
 
5.0%
L 47
 
4.4%
C 47
 
4.4%
i 45
 
4.3%
Other values (37) 380
36.0%
Common
ValueCountFrequency (%)
977
60.1%
, 86
 
5.3%
1 78
 
4.8%
68
 
4.2%
- 57
 
3.5%
0 55
 
3.4%
2 47
 
2.9%
4 46
 
2.8%
. 29
 
1.8%
6 26
 
1.6%
Other values (15) 157
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2662
59.0%
Hangul 1829
40.5%
Geometric Shapes 18
 
0.4%
Modifier Letters 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
977
36.7%
r 123
 
4.6%
o 98
 
3.7%
, 86
 
3.2%
e 80
 
3.0%
1 78
 
2.9%
68
 
2.6%
t 68
 
2.6%
G 60
 
2.3%
- 57
 
2.1%
Other values (59) 967
36.3%
Hangul
ValueCountFrequency (%)
비 52
 
2.8%
스 41
 
2.2%
디 38
 
2.1%
기 37
 
2.0%
트 35
 
1.9%
장 33
 
1.8%
에 32
 
1.7%
을 32
 
1.7%
오 31
 
1.7%
전 29
 
1.6%
Other values (264) 1469
80.3%
Geometric Shapes
ValueCountFrequency (%)
○ 18
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 2
100.0%
None
ValueCountFrequency (%)
° 1
100.0%

제작사
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
텍트로닉스
10 
Spirent
9 
이엠씨솔루션
7 
주니퍼
6 
EMC
6 
Other values (26)
41 

Length

Max length13
Median length10
Mean length5.3924051
Min length2

Unique

Unique17 ?
Unique (%)21.5%

Sample

1st row넷앤드휴먼인터페이스
2nd rowDELL
3rd rowHP
4th rowSpirent
5th rowDELL

Common Values

ValueCountFrequency (%)
텍트로닉스 10
 
12.7%
Spirent 9
 
11.4%
이엠씨솔루션 7
 
8.9%
주니퍼 6
 
7.6%
EMC 6
 
7.6%
한국텍트로닉스 6
 
7.6%
HP 3
 
3.8%
IXIA 3
 
3.8%
IBM 2
 
2.5%
모본 2
 
2.5%
Other values (21) 25
31.6%

Length

2023-12-13T09:43:13.662796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
텍트로닉스 10
 
12.2%
spirent 10
 
12.2%
이엠씨솔루션 7
 
8.5%
주니퍼 6
 
7.3%
emc 6
 
7.3%
한국텍트로닉스 6
 
7.3%
hp 3
 
3.7%
ixia 3
 
3.7%
링크 2
 
2.4%
dell 2
 
2.4%
Other values (22) 27
32.9%

Interactions

2023-12-13T09:43:11.202365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:10.844959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:11.022065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:11.263816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:10.900988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:11.082409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:11.324019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:10.961645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:43:11.142446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:43:13.726147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비아이디장비타입1장비타입2장비명장비상품명장비설명제작사
장비아이디1.0000.4930.6390.8340.7720.9740.865
장비타입10.4931.0000.8520.0000.5850.5350.759
장비타입20.6390.8521.0000.9300.7341.0000.940
장비명0.8340.0000.9301.0000.9900.9971.000
장비상품명0.7720.5850.7340.9901.0000.9970.980
장비설명0.9740.5351.0000.9970.9971.0000.987
제작사0.8650.7590.9401.0000.9800.9871.000
2023-12-13T09:43:13.807819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비아이디장비타입1장비타입2제작사
장비아이디1.0000.0020.3080.441
장비타입10.0021.0000.7250.478
장비타입20.3080.7251.0000.667
제작사0.4410.4780.6671.000

Missing values

2023-12-13T09:43:11.420951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:43:11.504160image/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

장비아이디장비타입1장비타입2장비명장비상품명장비설명제작사
0195넷앤드휴먼인터페이스HI-Ware접근제어, NMS넷앤드휴먼인터페이스
1181Desktop (Performance Test)Vostro 460Desktop (Performance Test)DELL
2171HPHP9000 L2000 Enterprise ServerDisk Array (Biometrics DB Backup)HP
3112SpirentAvalanche 2700L4-L7 네트워크 성능 계측장비 Fiber 1G * 4포트Spirent
41151Desktop (Performance Test)Vostro 460Desktop (Performance Test)DELL
52811EMCMFS100자기장 테스트 시험 장비EMC
63157온˙습도 챔버프라지나스 PL 시리즈○ 내열성, 내한성 및 내습성 시험 - 온˙습도 사이클 시험 - 저온˙고온 시험 ( -40 ~100°C) - 리더 및 태그의 전기적 특성 모니터링제이에스엔지니어링
74157진동시험기G-0210N○ 제품의 내구성을 측정하기 위해 진동을 일으키는 장비 - L자형 테이블로 구성됨 - 수직방향 뿐만 아니라 X, Y축으로도 진동함제이에스엔지니어링
8412텍트로닉스Spirent STCL2-L3 네트워크 성능 측정 Fiber/Copper 겸용 1G 12Port텍트로닉스
95157저소음콤프레샤저소음콤프레샤○ 압축기로서 기체를 압축시켜 압력을 높이는 기계적인 장치 - 48 ~ 53db급을 요하는 소음으로 실험실이나 연구실에 적합에스제이인터
장비아이디장비타입1장비타입2장비명장비상품명장비설명제작사
69411512SpirentSTC-2000PL4-L7 네트워크 성능 계측장비 Fiber 10G 2Port, Fiber/Copper 2PortSpirent
704111testtesttesttest
71421511ESPECPWL-4KP온도, 습도 환경 테스트 (3대 보유) 온도 : -40 ~ 100C, 습도( %rh) : 20~98, 수용량 : 800ESPEC
72441513SpirentSmartBit 6000BL2-L3 네트워크 성능 계측장비 Fiber/Copper 겸용 1G 2Port, 10/100M 6PortSpirent
73451513IXIAIXIA X16L2-L3 네트워크 성능 계측장비 (10G) Fiber/Copper 겸용 1G 4Port, Copper 1G 8Port, L2-L3 전용 10G 2PortIXIA
7446155엔에스텍TaskQoS 10000Q-B1GQos Fiber 10G 2포트, Copper 1G 2포트엔에스텍
7549155파이오 링크PAS 5016L4 스위치 Fiber/Copper 겸용 1G 16포트파이오 링크
76531513CitrixMPX11500SEL4 스위치 (10G) Copper 1G 48Port, 10G 2Port, 1G 2PortCitrix
77541513CiscoCisco 6506L4 스위치 (10G) Fiber 8Port, Copper 1G 48Port, 10G 2PortCisco
78551513IXIABreakingPoint CTML2-L7 네트워크 성능 계측장비 Fiber 10G 4PortIXIA