Overview

Dataset statistics

Number of variables8
Number of observations179
Missing cells148
Missing cells (%)10.3%
Duplicate rows2
Duplicate rows (%)1.1%
Total size in memory11.3 KiB
Average record size in memory64.7 B

Variable types

Text4
Categorical4

Dataset

Description재단에서 보유하고 있는 공동활용가능한 연구장비 목록입니다.
Author대구경북첨단의료산업진흥재단
URLhttps://www.data.go.kr/data/15020876/fileData.do

Alerts

외부검색 has constant value ""Constant
Dataset has 2 (1.1%) duplicate rowsDuplicates
상태 is highly imbalanced (89.1%)Imbalance
직접이용 is highly imbalanced (87.7%)Imbalance
제작사 has 6 (3.4%) missing valuesMissing
구축기간 has 142 (79.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:45:47.478477
Analysis finished2023-12-12 19:45:48.573909
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공동장비명
Text

Distinct174
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:45:48.845646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length22
Mean length11.854749
Min length3

Characters and Unicode

Total characters2122
Distinct characters314
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)94.4%

Sample

1st row0.5L 양압 반응조시스템
2nd row10L 다용도 반응시스템
3rd row1L 양압 반응조시스템
4th row3차원 자유형상 광조형기
5th row3차원 정밀형상측정기
ValueCountFrequency (%)
시스템 17
 
4.3%
및 9
 
2.3%
분석기 6
 
1.5%
액체크로마토그래피 5
 
1.3%
3차원 4
 
1.0%
고성능 4
 
1.0%
pcb 4
 
1.0%
질량분석기 4
 
1.0%
분석장비 4
 
1.0%
소프트웨어 4
 
1.0%
Other values (284) 334
84.6%
2023-12-13T04:45:49.395602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
 
10.3%
기 74
 
3.5%
시 70
 
3.3%
스 68
 
3.2%
템 53
 
2.5%
분 51
 
2.4%
자 44
 
2.1%
이 37
 
1.7%
고 35
 
1.6%
석 34
 
1.6%
Other values (304) 1438
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1796
84.6%
Space Separator 218
 
10.3%
Uppercase Letter 50
 
2.4%
Lowercase Letter 23
 
1.1%
Decimal Number 18
 
0.8%
Other Punctuation 6
 
0.3%
Close Punctuation 3
 
0.1%
Connector Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 74
 
4.1%
시 70
 
3.9%
스 68
 
3.8%
템 53
 
3.0%
분 51
 
2.8%
자 44
 
2.4%
이 37
 
2.1%
고 35
 
1.9%
석 34
 
1.9%
장 33
 
1.8%
Other values (262) 1297
72.2%
Uppercase Letter
ValueCountFrequency (%)
M 7
14.0%
C 7
14.0%
P 6
12.0%
B 4
8.0%
S 4
8.0%
L 4
8.0%
R 4
8.0%
T 3
6.0%
I 3
6.0%
H 2
 
4.0%
Other values (5) 6
12.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
17.4%
a 2
8.7%
r 2
8.7%
d 2
8.7%
o 2
8.7%
i 2
8.7%
t 2
8.7%
l 2
8.7%
x 1
 
4.3%
p 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
3 6
33.3%
0 4
22.2%
6 3
16.7%
4 2
 
11.1%
1 2
 
11.1%
5 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 3
50.0%
, 2
33.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1796
84.6%
Common 253
 
11.9%
Latin 73
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 74
 
4.1%
시 70
 
3.9%
스 68
 
3.8%
템 53
 
3.0%
분 51
 
2.8%
자 44
 
2.4%
이 37
 
2.1%
고 35
 
1.9%
석 34
 
1.9%
장 33
 
1.8%
Other values (262) 1297
72.2%
Latin
ValueCountFrequency (%)
M 7
 
9.6%
C 7
 
9.6%
P 6
 
8.2%
B 4
 
5.5%
S 4
 
5.5%
e 4
 
5.5%
L 4
 
5.5%
R 4
 
5.5%
T 3
 
4.1%
I 3
 
4.1%
Other values (18) 27
37.0%
Common
ValueCountFrequency (%)
218
86.2%
3 6
 
2.4%
0 4
 
1.6%
) 3
 
1.2%
_ 3
 
1.2%
/ 3
 
1.2%
6 3
 
1.2%
( 3
 
1.2%
- 2
 
0.8%
, 2
 
0.8%
Other values (4) 6
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1796
84.6%
ASCII 326
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
66.9%
M 7
 
2.1%
C 7
 
2.1%
P 6
 
1.8%
3 6
 
1.8%
B 4
 
1.2%
S 4
 
1.2%
e 4
 
1.2%
L 4
 
1.2%
0 4
 
1.2%
Other values (32) 62
 
19.0%
Hangul
ValueCountFrequency (%)
기 74
 
4.1%
시 70
 
3.9%
스 68
 
3.8%
템 53
 
3.0%
분 51
 
2.8%
자 44
 
2.4%
이 37
 
2.1%
고 35
 
1.9%
석 34
 
1.9%
장 33
 
1.8%
Other values (262) 1297
72.2%

제작사
Text

MISSING 

Distinct104
Distinct (%)60.1%
Missing6
Missing (%)3.4%
Memory size1.5 KiB
2023-12-13T04:45:50.108008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length24
Mean length12.479769
Min length3

Characters and Unicode

Total characters2159
Distinct characters103
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)42.2%

Sample

1st rowAsahi Glassplant Inc.
2nd rowAsahi Techno Glass
3rd rowAsahi Glassplant Inc.
4th row3d Systems
5th rowCarl Zeiss
ValueCountFrequency (%)
shimadzu 8
 
2.7%
technologies 8
 
2.7%
thermo 7
 
2.4%
agilent 7
 
2.4%
scientific 7
 
2.4%
ge 6
 
2.0%
healthcare 6
 
2.0%
instruments 6
 
2.0%
beckman 5
 
1.7%
coulter 5
 
1.7%
Other values (152) 228
77.8%
2023-12-13T04:45:50.638367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 216
 
10.0%
i 175
 
8.1%
n 136
 
6.3%
o 133
 
6.2%
120
 
5.6%
a 116
 
5.4%
s 114
 
5.3%
r 111
 
5.1%
c 101
 
4.7%
t 100
 
4.6%
Other values (93) 837
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1647
76.3%
Uppercase Letter 295
 
13.7%
Space Separator 120
 
5.6%
Other Letter 66
 
3.1%
Other Punctuation 14
 
0.6%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Dash Punctuation 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
10.6%
스 4
 
6.1%
코 3
 
4.5%
레 2
 
3.0%
리 2
 
3.0%
오 2
 
3.0%
드 2
 
3.0%
신 2
 
3.0%
에 2
 
3.0%
인 2
 
3.0%
Other values (38) 38
57.6%
Lowercase Letter
ValueCountFrequency (%)
e 216
13.1%
i 175
10.6%
n 136
 
8.3%
o 133
 
8.1%
a 116
 
7.0%
s 114
 
6.9%
r 111
 
6.7%
c 101
 
6.1%
t 100
 
6.1%
l 82
 
5.0%
Other values (15) 363
22.0%
Uppercase Letter
ValueCountFrequency (%)
S 36
12.2%
T 33
11.2%
B 30
10.2%
A 24
 
8.1%
I 24
 
8.1%
C 19
 
6.4%
L 19
 
6.4%
G 18
 
6.1%
N 12
 
4.1%
P 11
 
3.7%
Other values (12) 69
23.4%
Other Punctuation
ValueCountFrequency (%)
. 7
50.0%
& 5
35.7%
, 2
 
14.3%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1942
89.9%
Common 151
 
7.0%
Hangul 66
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
10.6%
스 4
 
6.1%
코 3
 
4.5%
레 2
 
3.0%
리 2
 
3.0%
오 2
 
3.0%
드 2
 
3.0%
신 2
 
3.0%
에 2
 
3.0%
인 2
 
3.0%
Other values (38) 38
57.6%
Latin
ValueCountFrequency (%)
e 216
 
11.1%
i 175
 
9.0%
n 136
 
7.0%
o 133
 
6.8%
a 116
 
6.0%
s 114
 
5.9%
r 111
 
5.7%
c 101
 
5.2%
t 100
 
5.1%
l 82
 
4.2%
Other values (37) 658
33.9%
Common
ValueCountFrequency (%)
120
79.5%
. 7
 
4.6%
& 5
 
3.3%
( 5
 
3.3%
) 5
 
3.3%
- 5
 
3.3%
, 2
 
1.3%
3 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2093
96.9%
Hangul 66
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 216
 
10.3%
i 175
 
8.4%
n 136
 
6.5%
o 133
 
6.4%
120
 
5.7%
a 116
 
5.5%
s 114
 
5.4%
r 111
 
5.3%
c 101
 
4.8%
t 100
 
4.8%
Other values (45) 771
36.8%
Hangul
ValueCountFrequency (%)
이 7
 
10.6%
스 4
 
6.1%
코 3
 
4.5%
레 2
 
3.0%
리 2
 
3.0%
오 2
 
3.0%
드 2
 
3.0%
신 2
 
3.0%
에 2
 
3.0%
인 2
 
3.0%
Other values (38) 38
57.6%

모델명
Text

Distinct167
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:45:51.059978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length32
Mean length13.027933
Min length2

Characters and Unicode

Total characters2332
Distinct characters78
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)88.8%

Sample

1st rowASGA-500-DV
2nd row10L Jacketed reaction unit
3rd rowASGA-1000-DV-F
4th rowprojet 6000
5th rowO-INSPECT 442
ValueCountFrequency (%)
system 11
 
3.0%
모델명 5
 
1.4%
없음 5
 
1.4%
lc 3
 
0.8%
incucyte 3
 
0.8%
zoom 3
 
0.8%
plus 3
 
0.8%
neo 3
 
0.8%
combiflash 3
 
0.8%
rf 3
 
0.8%
Other values (293) 327
88.6%
2023-12-13T04:45:51.701627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
8.3%
0 148
 
6.3%
e 124
 
5.3%
t 94
 
4.0%
i 92
 
3.9%
o 84
 
3.6%
r 82
 
3.5%
S 81
 
3.5%
a 80
 
3.4%
s 69
 
3.0%
Other values (68) 1285
55.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1023
43.9%
Uppercase Letter 663
28.4%
Decimal Number 348
 
14.9%
Space Separator 193
 
8.3%
Dash Punctuation 54
 
2.3%
Other Letter 32
 
1.4%
Other Punctuation 13
 
0.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 124
12.1%
t 94
 
9.2%
i 92
 
9.0%
o 84
 
8.2%
r 82
 
8.0%
a 80
 
7.8%
s 69
 
6.7%
n 63
 
6.2%
m 50
 
4.9%
c 44
 
4.3%
Other values (16) 241
23.6%
Uppercase Letter
ValueCountFrequency (%)
S 81
 
12.2%
C 51
 
7.7%
M 47
 
7.1%
A 44
 
6.6%
P 44
 
6.6%
I 42
 
6.3%
L 34
 
5.1%
R 32
 
4.8%
E 32
 
4.8%
N 31
 
4.7%
Other values (15) 225
33.9%
Decimal Number
ValueCountFrequency (%)
0 148
42.5%
2 44
 
12.6%
1 34
 
9.8%
5 29
 
8.3%
3 24
 
6.9%
4 21
 
6.0%
6 16
 
4.6%
8 15
 
4.3%
9 10
 
2.9%
7 7
 
2.0%
Other Letter
ValueCountFrequency (%)
모 6
18.8%
음 6
18.8%
없 6
18.8%
명 6
18.8%
델 6
18.8%
제 1
 
3.1%
작 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 6
46.2%
? 3
23.1%
. 2
 
15.4%
, 2
 
15.4%
Space Separator
ValueCountFrequency (%)
193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1686
72.3%
Common 614
 
26.3%
Hangul 32
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 124
 
7.4%
t 94
 
5.6%
i 92
 
5.5%
o 84
 
5.0%
r 82
 
4.9%
S 81
 
4.8%
a 80
 
4.7%
s 69
 
4.1%
n 63
 
3.7%
C 51
 
3.0%
Other values (41) 866
51.4%
Common
ValueCountFrequency (%)
193
31.4%
0 148
24.1%
- 54
 
8.8%
2 44
 
7.2%
1 34
 
5.5%
5 29
 
4.7%
3 24
 
3.9%
4 21
 
3.4%
6 16
 
2.6%
8 15
 
2.4%
Other values (10) 36
 
5.9%
Hangul
ValueCountFrequency (%)
모 6
18.8%
음 6
18.8%
없 6
18.8%
명 6
18.8%
델 6
18.8%
제 1
 
3.1%
작 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2300
98.6%
Hangul 32
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
 
8.4%
0 148
 
6.4%
e 124
 
5.4%
t 94
 
4.1%
i 92
 
4.0%
o 84
 
3.7%
r 82
 
3.6%
S 81
 
3.5%
a 80
 
3.5%
s 69
 
3.0%
Other values (61) 1253
54.5%
Hangul
ValueCountFrequency (%)
모 6
18.8%
음 6
18.8%
없 6
18.8%
명 6
18.8%
델 6
18.8%
제 1
 
3.1%
작 1
 
3.1%

구축기간
Text

MISSING 

Distinct32
Distinct (%)86.5%
Missing142
Missing (%)79.3%
Memory size1.5 KiB
2023-12-13T04:45:51.981432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.243243
Min length10

Characters and Unicode

Total characters786
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)75.7%

Sample

1st row2012-09-10 ~ 2013-01-03
2nd row2014-03-26
3rd row2016-03-11
4th row2013-12-26 ~ 2013-12-26
5th row2013-11-06 ~ 2014-01-10
ValueCountFrequency (%)
32
31.7%
2013-12-24 4
 
4.0%
2014-06-30 3
 
3.0%
2014-11-21 3
 
3.0%
2014-01-10 3
 
3.0%
2014-04-25 3
 
3.0%
2012-12-26 2
 
2.0%
2014-04-18 2
 
2.0%
2014-04-16 2
 
2.0%
2014-01-14 2
 
2.0%
Other values (38) 45
44.6%
2023-12-13T04:45:52.482690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 150
19.1%
- 138
17.6%
0 133
16.9%
2 130
16.5%
64
8.1%
4 57
 
7.3%
3 39
 
5.0%
~ 32
 
4.1%
6 17
 
2.2%
5 9
 
1.1%
Other values (3) 17
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 552
70.2%
Dash Punctuation 138
 
17.6%
Space Separator 64
 
8.1%
Math Symbol 32
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 150
27.2%
0 133
24.1%
2 130
23.6%
4 57
 
10.3%
3 39
 
7.1%
6 17
 
3.1%
5 9
 
1.6%
9 6
 
1.1%
7 6
 
1.1%
8 5
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 786
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 150
19.1%
- 138
17.6%
0 133
16.9%
2 130
16.5%
64
8.1%
4 57
 
7.3%
3 39
 
5.0%
~ 32
 
4.1%
6 17
 
2.2%
5 9
 
1.1%
Other values (3) 17
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 150
19.1%
- 138
17.6%
0 133
16.9%
2 130
16.5%
64
8.1%
4 57
 
7.3%
3 39
 
5.0%
~ 32
 
4.1%
6 17
 
2.2%
5 9
 
1.1%
Other values (3) 17
 
2.2%

공동장비 분류(대)
Categorical

Distinct11
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
화합물전처리/분석장비
73 
광학/전자영상장비
28 
임상의료장비
21 
기계가공/시험장비
20 
데이터처리장비
9 
Other values (6)
28 

Length

Max length12
Median length11
Mean length8.9776536
Min length4

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row화합물전처리/분석장비
2nd row화합물전처리/분석장비
3rd row화합물전처리/분석장비
4th row기계가공/시험장비
5th row물리적측정장비

Common Values

ValueCountFrequency (%)
화합물전처리/분석장비 73
40.8%
광학/전자영상장비 28
 
15.6%
임상의료장비 21
 
11.7%
기계가공/시험장비 20
 
11.2%
데이터처리장비 9
 
5.0%
<NA> 9
 
5.0%
전기/전자장비 9
 
5.0%
물리적측정장비 5
 
2.8%
기계가공/시험장비 3
 
1.7%
임상의료장비 1
 
0.6%

Length

2023-12-13T04:45:52.681062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화합물전처리/분석장비 73
40.8%
광학/전자영상장비 28
 
15.6%
기계가공/시험장비 23
 
12.8%
임상의료장비 22
 
12.3%
데이터처리장비 9
 
5.0%
na 9
 
5.0%
전기/전자장비 9
 
5.0%
물리적측정장비 5
 
2.8%
환경조성/생산/사육시설 1
 
0.6%

상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
활용
175 
저활용
 
3
유휴
 
1

Length

Max length3
Median length2
Mean length2.0167598
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row저활용
2nd row저활용
3rd row저활용
4th row활용
5th row활용

Common Values

ValueCountFrequency (%)
활용 175
97.8%
저활용 3
 
1.7%
유휴 1
 
0.6%

Length

2023-12-13T04:45:52.880918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:45:53.041641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활용 175
97.8%
저활용 3
 
1.7%
유휴 1
 
0.6%

외부검색
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
가능
179 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 179
100.0%

Length

2023-12-13T04:45:53.194760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:45:53.354548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 179
100.0%

직접이용
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
불가
176 
가능
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불가 176
98.3%
가능 3
 
1.7%

Length

2023-12-13T04:45:53.511288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:45:53.633901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 176
98.3%
가능 3
 
1.7%

Correlations

2023-12-13T04:45:53.732113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구축기간공동장비 분류(대)상태직접이용
구축기간1.0000.988NaN1.000
공동장비 분류(대)0.9881.0000.0000.000
상태NaN0.0001.0000.000
직접이용1.0000.0000.0001.000
2023-12-13T04:45:53.881304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공동장비 분류(대)상태직접이용
공동장비 분류(대)1.0000.0000.000
상태0.0001.0000.000
직접이용0.0000.0001.000
2023-12-13T04:45:53.992113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공동장비 분류(대)상태직접이용
공동장비 분류(대)1.0000.0000.000
상태0.0001.0000.000
직접이용0.0000.0001.000

Missing values

2023-12-13T04:45:48.127347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:45:48.341526image/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.
2023-12-13T04:45:48.491807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

공동장비명제작사모델명구축기간공동장비 분류(대)상태외부검색직접이용
00.5L 양압 반응조시스템Asahi Glassplant Inc.ASGA-500-DV<NA>화합물전처리/분석장비저활용가능불가
110L 다용도 반응시스템Asahi Techno Glass10L Jacketed reaction unit<NA>화합물전처리/분석장비저활용가능불가
21L 양압 반응조시스템Asahi Glassplant Inc.ASGA-1000-DV-F<NA>화합물전처리/분석장비저활용가능불가
33차원 자유형상 광조형기3d Systemsprojet 60002012-09-10 ~ 2013-01-03기계가공/시험장비활용가능불가
43차원 정밀형상측정기Carl ZeissO-INSPECT 4422014-03-26물리적측정장비활용가능불가
53축 보빈레스 자동 권선기하이엔드HB-13002016-03-11기계가공/시험장비활용가능불가
6400Mz 푸리에트 린스퍼 핵자기공명장치BrukerFT-400 NMR<NA>화합물전처리/분석장비활용가능불가
764채널 자기공명호환뇌파측정시스템Electrical Geodesic Incorporated (EGI)GES300 MR2013-12-26 ~ 2013-12-26임상의료장비활용가능불가
86L 다용도 반응시스템Asahi Techno Glass10L Jacketed reaction unit<NA>화합물전처리/분석장비활용가능불가
96축 로봇팔Kuka Roboticskr6r900<NA>기계가공/시험장비활용가능불가
공동장비명제작사모델명구축기간공동장비 분류(대)상태외부검색직접이용
169형광, 발광 및 컴퓨터 단층 영상 장비 시스템Caliper Life SciencesIVIS Spectrum<NA>광학/전자영상장비활용가능불가
170형광기반영상유도시스템NovadaqPinpoint<NA>임상의료장비활용가능불가
171형광물질 활성세포 분석 시스템Beckman CoulterGallios<NA>화합물전처리/분석장비활용가능불가
172형광분광광도계Thermo ScientificNanoDrop ND3300<NA>화합물전처리/분석장비활용가능불가
173형광영상캡처장치Bio-radChemiDoc MP<NA>광학/전자영상장비활용가능불가
174화학적 이미지 분석장비Ge HealthcareImageQuant LAS 4000 mini<NA>광학/전자영상장비활용가능불가
175화학적 이미지 분석장비Ge HealthcareLAS 4000<NA>광학/전자영상장비활용가능불가
176회로설계 시뮬레이션 소프트웨어SimplisSIMetrixSimplis2012-08-31 ~ 2012-10-19데이터처리장비활용가능불가
177효소연결반응분석기BiotekSynergy H42013-05-21 ~ 2015-05-21화합물전처리/분석장비활용가능불가
178흡광분광광도계Thermo ScientificNanoDrop 2000c<NA>화합물전처리/분석장비활용가능불가

Duplicate rows

Most frequently occurring

공동장비명제작사모델명구축기간공동장비 분류(대)상태외부검색직접이용# duplicates
0마이크로플레이트리더TecanINFINITE M200PRO<NA>화합물전처리/분석장비활용가능불가2
1자동염색봉입기dakoCS-100<NA>화합물전처리/분석장비활용가능불가2