Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells24
Missing cells (%)< 0.1%
Duplicate rows273
Duplicate rows (%)2.7%
Total size in memory947.3 KiB
Average record size in memory97.0 B

Variable types

Text6
Categorical3
DateTime1
Numeric1

Dataset

Description대학,연구기관 등이 보유한 연구장비를 중소기업이 공동활용할 수 있도록 지원하는 연구기반 활용플러스사업(구.연구장비공동활용지원사업)에 등재된 연구장비 명, 운영기관, 설치장소, 활용내용 등 정보를 제공합니다.
Author중소기업기술정보진흥원
URLhttps://www.data.go.kr/data/15022417/fileData.do

Alerts

Dataset has 273 (2.7%) duplicate rowsDuplicates
장비정보(유후불용) is highly imbalanced (85.0%)Imbalance
장비정보(이용료) is highly skewed (γ1 = 21.27163623)Skewed
장비정보(이용료) has 289 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-23 07:53:14.041269
Analysis finished2023-12-23 07:53:24.913127
Duration10.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T07:53:25.850338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.2988
Min length3

Characters and Unicode

Total characters72988
Distinct characters120
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재료물성시험장비
2nd row분리분석장비
3rd row재료물성시험장비
4th row절삭장비
5th row현미경
ValueCountFrequency (%)
재료물성시험장비 1430
14.3%
측정시험장비 781
 
7.8%
열유체장비 739
 
7.4%
분리분석장비 711
 
7.1%
분광분석장비 696
 
7.0%
반도체장비 596
 
6.0%
바이오제조/분석장비 469
 
4.7%
질량분석장비 435
 
4.3%
성형/가공장비 423
 
4.2%
현미경 422
 
4.2%
Other values (44) 3298
33.0%
2023-12-23T07:53:27.837300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9576
 
13.1%
9489
 
13.0%
4822
 
6.6%
/ 4552
 
6.2%
2613
 
3.6%
2445
 
3.3%
2315
 
3.2%
2293
 
3.1%
2120
 
2.9%
2084
 
2.9%
Other values (110) 30679
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68436
93.8%
Other Punctuation 4552
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9576
 
14.0%
9489
 
13.9%
4822
 
7.0%
2613
 
3.8%
2445
 
3.6%
2315
 
3.4%
2293
 
3.4%
2120
 
3.1%
2084
 
3.0%
1537
 
2.2%
Other values (109) 29142
42.6%
Other Punctuation
ValueCountFrequency (%)
/ 4552
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68436
93.8%
Common 4552
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9576
 
14.0%
9489
 
13.9%
4822
 
7.0%
2613
 
3.8%
2445
 
3.6%
2315
 
3.4%
2293
 
3.4%
2120
 
3.1%
2084
 
3.0%
1537
 
2.2%
Other values (109) 29142
42.6%
Common
ValueCountFrequency (%)
/ 4552
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68436
93.8%
ASCII 4552
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9576
 
14.0%
9489
 
13.9%
4822
 
7.0%
2613
 
3.8%
2445
 
3.6%
2315
 
3.4%
2293
 
3.4%
2120
 
3.1%
2084
 
3.0%
1537
 
2.2%
Other values (109) 29142
42.6%
ASCII
ValueCountFrequency (%)
/ 4552
100.0%
Distinct391
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T07:53:29.088287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.9469
Min length2

Characters and Unicode

Total characters89469
Distinct characters312
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)0.4%

Sample

1st row달리 분류되지 않는 재료물성시험장비
2nd row가스크로마토그래피
3rd row온습도시험기
4th row복합장비
5th row주사전자현미경
ValueCountFrequency (%)
달리 1267
 
9.2%
않는 1267
 
9.2%
분류되지 1267
 
9.2%
액체크로마토그래피 331
 
2.4%
항온/항습기 247
 
1.8%
전자파측정시험장비 239
 
1.7%
가스크로마토그래피 224
 
1.6%
온습도시험기 190
 
1.4%
배양장치 189
 
1.4%
열분석기 186
 
1.3%
Other values (384) 8394
60.8%
2023-12-23T07:53:31.208472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4469
 
5.0%
4283
 
4.8%
3801
 
4.2%
3657
 
4.1%
3652
 
4.1%
/ 3101
 
3.5%
2650
 
3.0%
2168
 
2.4%
1857
 
2.1%
1776
 
2.0%
Other values (302) 58055
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82027
91.7%
Space Separator 3801
 
4.2%
Other Punctuation 3101
 
3.5%
Uppercase Letter 297
 
0.3%
Dash Punctuation 146
 
0.2%
Decimal Number 97
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4469
 
5.4%
4283
 
5.2%
3657
 
4.5%
3652
 
4.5%
2650
 
3.2%
2168
 
2.6%
1857
 
2.3%
1776
 
2.2%
1658
 
2.0%
1567
 
1.9%
Other values (294) 54290
66.2%
Uppercase Letter
ValueCountFrequency (%)
X 146
49.2%
D 115
38.7%
E 18
 
6.1%
L 18
 
6.1%
Space Separator
ValueCountFrequency (%)
3801
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Decimal Number
ValueCountFrequency (%)
3 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82027
91.7%
Common 7145
 
8.0%
Latin 297
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4469
 
5.4%
4283
 
5.2%
3657
 
4.5%
3652
 
4.5%
2650
 
3.2%
2168
 
2.6%
1857
 
2.3%
1776
 
2.2%
1658
 
2.0%
1567
 
1.9%
Other values (294) 54290
66.2%
Common
ValueCountFrequency (%)
3801
53.2%
/ 3101
43.4%
- 146
 
2.0%
3 97
 
1.4%
Latin
ValueCountFrequency (%)
X 146
49.2%
D 115
38.7%
E 18
 
6.1%
L 18
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82027
91.7%
ASCII 7442
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4469
 
5.4%
4283
 
5.2%
3657
 
4.5%
3652
 
4.5%
2650
 
3.2%
2168
 
2.6%
1857
 
2.3%
1776
 
2.2%
1658
 
2.0%
1567
 
1.9%
Other values (294) 54290
66.2%
ASCII
ValueCountFrequency (%)
3801
51.1%
/ 3101
41.7%
- 146
 
2.0%
X 146
 
2.0%
D 115
 
1.5%
3 97
 
1.3%
E 18
 
0.2%
L 18
 
0.2%
Distinct7486
Distinct (%)75.0%
Missing22
Missing (%)0.2%
Memory size156.2 KiB
2023-12-23T07:53:33.092199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length85
Mean length25.818601
Min length2

Characters and Unicode

Total characters257618
Distinct characters256
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6540 ?
Unique (%)65.5%

Sample

1st rowdietary fiber
2nd row(UPLC(Ultra Performace Liquid Chromatography))
3rd rowVibration tester
4th rowVertical Multi taskign Machine
5th rowUltra High resolution Focused ion Beam
ValueCountFrequency (%)
system 1346
 
4.1%
tester 712
 
2.2%
test 631
 
1.9%
chamber 565
 
1.7%
high 488
 
1.5%
machine 456
 
1.4%
analyzer 446
 
1.4%
for 407
 
1.2%
temperature 371
 
1.1%
spectrometer 302
 
0.9%
Other values (5745) 27010
82.5%
2023-12-23T07:53:35.625970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 24547
 
9.5%
22755
 
8.8%
r 17319
 
6.7%
t 16721
 
6.5%
a 15219
 
5.9%
i 14814
 
5.8%
o 12773
 
5.0%
n 12095
 
4.7%
s 11136
 
4.3%
m 8769
 
3.4%
Other values (246) 101470
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 187227
72.7%
Uppercase Letter 37847
 
14.7%
Space Separator 22756
 
8.8%
Decimal Number 2899
 
1.1%
Dash Punctuation 1975
 
0.8%
Close Punctuation 1354
 
0.5%
Open Punctuation 1351
 
0.5%
Other Punctuation 1165
 
0.5%
Other Letter 664
 
0.3%
Connector Punctuation 312
 
0.1%
Other values (5) 68
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
12.2%
73
 
11.0%
31
 
4.7%
23
 
3.5%
23
 
3.5%
16
 
2.4%
13
 
2.0%
12
 
1.8%
11
 
1.7%
9
 
1.4%
Other values (148) 372
56.0%
Lowercase Letter
ValueCountFrequency (%)
e 24547
13.1%
r 17319
 
9.3%
t 16721
 
8.9%
a 15219
 
8.1%
i 14814
 
7.9%
o 12773
 
6.8%
n 12095
 
6.5%
s 11136
 
5.9%
m 8769
 
4.7%
c 8729
 
4.7%
Other values (20) 45105
24.1%
Uppercase Letter
ValueCountFrequency (%)
S 4338
11.5%
C 3811
 
10.1%
T 3398
 
9.0%
M 3145
 
8.3%
E 2440
 
6.4%
A 2343
 
6.2%
P 2244
 
5.9%
I 1923
 
5.1%
D 1803
 
4.8%
R 1787
 
4.7%
Other values (17) 10615
28.0%
Decimal Number
ValueCountFrequency (%)
0 959
33.1%
1 490
16.9%
3 402
13.9%
2 372
 
12.8%
5 233
 
8.0%
4 129
 
4.4%
6 121
 
4.2%
8 72
 
2.5%
7 71
 
2.4%
9 50
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 519
44.5%
& 259
22.2%
, 181
 
15.5%
. 139
 
11.9%
# 32
 
2.7%
; 26
 
2.2%
3
 
0.3%
3
 
0.3%
% 2
 
0.2%
: 1
 
0.1%
Letter Number
ValueCountFrequency (%)
16
38.1%
10
23.8%
9
21.4%
3
 
7.1%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Space Separator
ValueCountFrequency (%)
22755
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1199
88.6%
] 155
 
11.4%
Open Punctuation
ValueCountFrequency (%)
( 1196
88.5%
[ 155
 
11.5%
Math Symbol
ValueCountFrequency (%)
= 7
70.0%
+ 3
30.0%
Other Symbol
ValueCountFrequency (%)
4
57.1%
3
42.9%
Dash Punctuation
ValueCountFrequency (%)
- 1975
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 312
100.0%
Other Number
ValueCountFrequency (%)
7
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 225112
87.4%
Common 31838
 
12.4%
Hangul 664
 
0.3%
Greek 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
12.2%
73
 
11.0%
31
 
4.7%
23
 
3.5%
23
 
3.5%
16
 
2.4%
13
 
2.0%
12
 
1.8%
11
 
1.7%
9
 
1.4%
Other values (148) 372
56.0%
Latin
ValueCountFrequency (%)
e 24547
 
10.9%
r 17319
 
7.7%
t 16721
 
7.4%
a 15219
 
6.8%
i 14814
 
6.6%
o 12773
 
5.7%
n 12095
 
5.4%
s 11136
 
4.9%
m 8769
 
3.9%
c 8729
 
3.9%
Other values (50) 82990
36.9%
Common
ValueCountFrequency (%)
22755
71.5%
- 1975
 
6.2%
) 1199
 
3.8%
( 1196
 
3.8%
0 959
 
3.0%
/ 519
 
1.6%
1 490
 
1.5%
3 402
 
1.3%
2 372
 
1.2%
_ 312
 
1.0%
Other values (24) 1659
 
5.2%
Greek
ValueCountFrequency (%)
δ 1
25.0%
α 1
25.0%
λ 1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 256884
99.7%
Hangul 664
 
0.3%
Number Forms 42
 
< 0.1%
None 18
 
< 0.1%
CJK Compat 7
 
< 0.1%
Punctuation 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 24547
 
9.6%
22755
 
8.9%
r 17319
 
6.7%
t 16721
 
6.5%
a 15219
 
5.9%
i 14814
 
5.8%
o 12773
 
5.0%
n 12095
 
4.7%
s 11136
 
4.3%
m 8769
 
3.4%
Other values (69) 100736
39.2%
Hangul
ValueCountFrequency (%)
81
 
12.2%
73
 
11.0%
31
 
4.7%
23
 
3.5%
23
 
3.5%
16
 
2.4%
13
 
2.0%
12
 
1.8%
11
 
1.7%
9
 
1.4%
Other values (148) 372
56.0%
Number Forms
ValueCountFrequency (%)
16
38.1%
10
23.8%
9
21.4%
3
 
7.1%
2
 
4.8%
1
 
2.4%
1
 
2.4%
None
ValueCountFrequency (%)
7
38.9%
3
16.7%
3
16.7%
  1
 
5.6%
δ 1
 
5.6%
α 1
 
5.6%
ø 1
 
5.6%
λ 1
 
5.6%
CJK Compat
ValueCountFrequency (%)
4
57.1%
3
42.9%
Punctuation
ValueCountFrequency (%)
2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct6149
Distinct (%)61.5%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-23T07:53:36.832798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length48
Mean length9.2567514
Min length1

Characters and Unicode

Total characters92549
Distinct characters206
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4938 ?
Unique (%)49.4%

Sample

1st rowOrion 3 star
2nd rowH-Class
3rd rowEFL-4
4th rowINTEGREX-i500V/5
5th rowHelios 5 UX
ValueCountFrequency (%)
없음 968
 
6.2%
모델명 967
 
6.2%
system 82
 
0.5%
ii 70
 
0.4%
series 65
 
0.4%
plus 65
 
0.4%
2695 63
 
0.4%
icp-ms 48
 
0.3%
1260 47
 
0.3%
개발장비 47
 
0.3%
Other values (7023) 13157
84.5%
2023-12-23T07:53:39.193169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9547
 
10.3%
5581
 
6.0%
- 4583
 
5.0%
S 3625
 
3.9%
1 3187
 
3.4%
2 3100
 
3.3%
A 2632
 
2.8%
C 2410
 
2.6%
5 2325
 
2.5%
e 2269
 
2.5%
Other values (196) 53290
57.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 31969
34.5%
Decimal Number 26047
28.1%
Lowercase Letter 18030
19.5%
Space Separator 5583
 
6.0%
Other Letter 5456
 
5.9%
Dash Punctuation 4583
 
5.0%
Other Punctuation 639
 
0.7%
Close Punctuation 78
 
0.1%
Open Punctuation 77
 
0.1%
Math Symbol 30
 
< 0.1%
Other values (8) 57
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
995
18.2%
995
18.2%
995
18.2%
994
18.2%
994
18.2%
55
 
1.0%
54
 
1.0%
53
 
1.0%
50
 
0.9%
19
 
0.3%
Other values (103) 252
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 2269
12.6%
i 1668
 
9.3%
a 1640
 
9.1%
r 1522
 
8.4%
t 1417
 
7.9%
o 1227
 
6.8%
s 1097
 
6.1%
n 1020
 
5.7%
l 1005
 
5.6%
c 775
 
4.3%
Other values (18) 4390
24.3%
Uppercase Letter
ValueCountFrequency (%)
S 3625
 
11.3%
A 2632
 
8.2%
C 2410
 
7.5%
T 2148
 
6.7%
M 2112
 
6.6%
P 1866
 
5.8%
E 1793
 
5.6%
I 1475
 
4.6%
L 1457
 
4.6%
D 1455
 
4.6%
Other values (16) 10996
34.4%
Decimal Number
ValueCountFrequency (%)
0 9547
36.7%
1 3187
 
12.2%
2 3100
 
11.9%
5 2325
 
8.9%
3 1791
 
6.9%
4 1548
 
5.9%
6 1461
 
5.6%
8 1211
 
4.6%
7 1003
 
3.9%
9 874
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 384
60.1%
. 118
 
18.5%
, 113
 
17.7%
& 7
 
1.1%
; 7
 
1.1%
: 3
 
0.5%
2
 
0.3%
@ 2
 
0.3%
# 2
 
0.3%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 26
86.7%
~ 2
 
6.7%
× 1
 
3.3%
| 1
 
3.3%
Space Separator
ValueCountFrequency (%)
5581
> 99.9%
  2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
21
72.4%
8
 
27.6%
Other Symbol
ValueCountFrequency (%)
® 5
62.5%
3
37.5%
Dash Punctuation
ValueCountFrequency (%)
- 4583
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Format
ValueCountFrequency (%)
­ 3
100.0%
Other Number
ValueCountFrequency (%)
³ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 50021
54.0%
Common 37065
40.0%
Hangul 5456
 
5.9%
Greek 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
995
18.2%
995
18.2%
995
18.2%
994
18.2%
994
18.2%
55
 
1.0%
54
 
1.0%
53
 
1.0%
50
 
0.9%
19
 
0.3%
Other values (103) 252
 
4.6%
Latin
ValueCountFrequency (%)
S 3625
 
7.2%
A 2632
 
5.3%
C 2410
 
4.8%
e 2269
 
4.5%
T 2148
 
4.3%
M 2112
 
4.2%
P 1866
 
3.7%
E 1793
 
3.6%
i 1668
 
3.3%
a 1640
 
3.3%
Other values (44) 27858
55.7%
Common
ValueCountFrequency (%)
0 9547
25.8%
5581
15.1%
- 4583
12.4%
1 3187
 
8.6%
2 3100
 
8.4%
5 2325
 
6.3%
3 1791
 
4.8%
4 1548
 
4.2%
6 1461
 
3.9%
8 1211
 
3.3%
Other values (27) 2731
 
7.4%
Greek
ValueCountFrequency (%)
α 5
71.4%
μ 2
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87034
94.0%
Hangul 5455
 
5.9%
Number Forms 29
 
< 0.1%
None 23
 
< 0.1%
Punctuation 4
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9547
 
11.0%
5581
 
6.4%
- 4583
 
5.3%
S 3625
 
4.2%
1 3187
 
3.7%
2 3100
 
3.6%
A 2632
 
3.0%
C 2410
 
2.8%
5 2325
 
2.7%
e 2269
 
2.6%
Other values (69) 47775
54.9%
Hangul
ValueCountFrequency (%)
995
18.2%
995
18.2%
995
18.2%
994
18.2%
994
18.2%
55
 
1.0%
54
 
1.0%
53
 
1.0%
50
 
0.9%
19
 
0.3%
Other values (102) 251
 
4.6%
Number Forms
ValueCountFrequency (%)
21
72.4%
8
 
27.6%
None
ValueCountFrequency (%)
α 5
21.7%
® 5
21.7%
­ 3
13.0%
³ 3
13.0%
  2
 
8.7%
μ 2
 
8.7%
2
 
8.7%
× 1
 
4.3%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대한민국
3044 
미국
2820 
일본
1771 
독일
1125 
스위스
330 
Other values (31)
910 

Length

Max length7
Median length2
Mean length2.7282
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row미국
2nd row미국
3rd row일본
4th row일본
5th row미국

Common Values

ValueCountFrequency (%)
대한민국 3044
30.4%
미국 2820
28.2%
일본 1771
17.7%
독일 1125
 
11.2%
스위스 330
 
3.3%
영국 237
 
2.4%
중국 102
 
1.0%
프랑스 94
 
0.9%
이탈리아 87
 
0.9%
네덜란드 64
 
0.6%
Other values (26) 326
 
3.3%

Length

2023-12-23T07:53:39.865472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 3044
30.4%
미국 2820
28.2%
일본 1771
17.7%
독일 1125
 
11.2%
스위스 330
 
3.3%
영국 237
 
2.4%
중국 102
 
1.0%
프랑스 94
 
0.9%
이탈리아 87
 
0.9%
네덜란드 64
 
0.6%
Other values (26) 326
 
3.3%
Distinct2563
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T07:53:41.406542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length9.8316
Min length2

Characters and Unicode

Total characters98316
Distinct characters443
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1498 ?
Unique (%)15.0%

Sample

1st rowThermo Fisher Scientific
2nd rowWaters
3rd rowEspec
4th rowYamazaki Mazak
5th rowFEI
ValueCountFrequency (%)
technologies 551
 
4.0%
agilent 479
 
3.5%
scientific 319
 
2.3%
thermo 306
 
2.2%
fisher 284
 
2.0%
shimadzu 268
 
1.9%
espec 260
 
1.9%
instruments 207
 
1.5%
rohde&schwarz 202
 
1.5%
perkin 195
 
1.4%
Other values (2792) 10795
77.9%
2023-12-23T07:53:43.319059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7627
 
7.8%
i 6231
 
6.3%
o 4923
 
5.0%
n 4462
 
4.5%
r 4373
 
4.4%
t 4364
 
4.4%
s 4194
 
4.3%
a 3991
 
4.1%
3866
 
3.9%
c 3781
 
3.8%
Other values (433) 50504
51.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 61027
62.1%
Other Letter 15666
 
15.9%
Uppercase Letter 14766
 
15.0%
Space Separator 3866
 
3.9%
Open Punctuation 981
 
1.0%
Close Punctuation 981
 
1.0%
Other Punctuation 441
 
0.4%
Other Symbol 313
 
0.3%
Dash Punctuation 171
 
0.2%
Decimal Number 96
 
0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
911
 
5.8%
801
 
5.1%
685
 
4.4%
414
 
2.6%
413
 
2.6%
400
 
2.6%
352
 
2.2%
344
 
2.2%
332
 
2.1%
296
 
1.9%
Other values (358) 10718
68.4%
Lowercase Letter
ValueCountFrequency (%)
e 7627
12.5%
i 6231
10.2%
o 4923
 
8.1%
n 4462
 
7.3%
r 4373
 
7.2%
t 4364
 
7.2%
s 4194
 
6.9%
a 3991
 
6.5%
c 3781
 
6.2%
h 2955
 
4.8%
Other values (17) 14126
23.1%
Uppercase Letter
ValueCountFrequency (%)
S 1786
12.1%
T 1711
11.6%
A 1452
 
9.8%
E 1368
 
9.3%
M 860
 
5.8%
C 821
 
5.6%
I 734
 
5.0%
F 606
 
4.1%
H 602
 
4.1%
B 576
 
3.9%
Other values (16) 4250
28.8%
Decimal Number
ValueCountFrequency (%)
3 32
33.3%
4 22
22.9%
0 15
15.6%
1 7
 
7.3%
2 7
 
7.3%
9 4
 
4.2%
7 4
 
4.2%
8 3
 
3.1%
5 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 253
57.4%
. 111
25.2%
, 58
 
13.2%
; 13
 
2.9%
/ 6
 
1.4%
Space Separator
ValueCountFrequency (%)
3866
100.0%
Open Punctuation
ValueCountFrequency (%)
( 981
100.0%
Close Punctuation
ValueCountFrequency (%)
) 981
100.0%
Other Symbol
ValueCountFrequency (%)
313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 75794
77.1%
Hangul 15979
 
16.3%
Common 6543
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
911
 
5.7%
801
 
5.0%
685
 
4.3%
414
 
2.6%
413
 
2.6%
400
 
2.5%
352
 
2.2%
344
 
2.2%
332
 
2.1%
313
 
2.0%
Other values (359) 11014
68.9%
Latin
ValueCountFrequency (%)
e 7627
 
10.1%
i 6231
 
8.2%
o 4923
 
6.5%
n 4462
 
5.9%
r 4373
 
5.8%
t 4364
 
5.8%
s 4194
 
5.5%
a 3991
 
5.3%
c 3781
 
5.0%
h 2955
 
3.9%
Other values (44) 28893
38.1%
Common
ValueCountFrequency (%)
3866
59.1%
( 981
 
15.0%
) 981
 
15.0%
& 253
 
3.9%
- 171
 
2.6%
. 111
 
1.7%
, 58
 
0.9%
3 32
 
0.5%
4 22
 
0.3%
0 15
 
0.2%
Other values (10) 53
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82331
83.7%
Hangul 15666
 
15.9%
None 318
 
0.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 7627
 
9.3%
i 6231
 
7.6%
o 4923
 
6.0%
n 4462
 
5.4%
r 4373
 
5.3%
t 4364
 
5.3%
s 4194
 
5.1%
a 3991
 
4.8%
3866
 
4.7%
c 3781
 
4.6%
Other values (62) 34519
41.9%
Hangul
ValueCountFrequency (%)
911
 
5.8%
801
 
5.1%
685
 
4.4%
414
 
2.6%
413
 
2.6%
400
 
2.6%
352
 
2.2%
344
 
2.2%
332
 
2.1%
296
 
1.9%
Other values (358) 10718
68.4%
None
ValueCountFrequency (%)
313
98.4%
ß 5
 
1.6%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct3824
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1982-12-31 00:00:00
Maximum2023-11-17 00:00:00
2023-12-23T07:53:44.628009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:53:45.301435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

장비정보(유후불용)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
활용
9564 
불용
 
339
저활용
 
73
유휴
 
24

Length

Max length3
Median length2
Mean length2.0073
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
활용 9564
95.6%
불용 339
 
3.4%
저활용 73
 
0.7%
유휴 24
 
0.2%

Length

2023-12-23T07:53:46.000965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:53:46.430666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활용 9564
95.6%
불용 339
 
3.4%
저활용 73
 
0.7%
유휴 24
 
0.2%

장비정보(이용료)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1236
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281324.04
Minimum0
Maximum60000000
Zeros289
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-23T07:53:47.039926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q120000
median50000
Q3133850
95-th percentile1000000
Maximum60000000
Range60000000
Interquartile range (IQR)113850

Descriptive statistics

Standard deviation1525981.3
Coefficient of variation (CV)5.4242833
Kurtosis600.77635
Mean281324.04
Median Absolute Deviation (MAD)40000
Skewness21.271636
Sum2.8132404 × 109
Variance2.328619 × 1012
MonotonicityNot monotonic
2023-12-23T07:53:47.924225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 583
 
5.8%
100000 546
 
5.5%
10000 315
 
3.1%
30000 309
 
3.1%
40000 304
 
3.0%
20000 303
 
3.0%
100 290
 
2.9%
0 289
 
2.9%
5000 218
 
2.2%
200000 209
 
2.1%
Other values (1226) 6634
66.3%
ValueCountFrequency (%)
0 289
2.9%
15 1
 
< 0.1%
100 290
2.9%
153 1
 
< 0.1%
200 6
 
0.1%
339 4
 
< 0.1%
362 1
 
< 0.1%
400 1
 
< 0.1%
440 1
 
< 0.1%
500 3
 
< 0.1%
ValueCountFrequency (%)
60000000 1
 
< 0.1%
50000000 1
 
< 0.1%
48000000 1
 
< 0.1%
35714000 1
 
< 0.1%
33000000 3
< 0.1%
30000000 3
< 0.1%
26250000 1
 
< 0.1%
22100000 1
 
< 0.1%
20000000 1
 
< 0.1%
18000000 1
 
< 0.1%
Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T07:53:48.920997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length11.2061
Min length4

Characters and Unicode

Total characters112061
Distinct characters277
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

Unique8 ?
Unique (%)0.1%

Sample

1st rowOATC 장비활용서비스
2nd row한국화학융합시험연구원
3rd row디티앤씨
4th row한국로봇산업진흥원
5th row금오공과대학교 공동실험실습관
ValueCountFrequency (%)
산학협력단 1026
 
7.4%
한국화학융합시험연구원 813
 
5.9%
한국건설생활환경시험연구원 596
 
4.3%
한국생산기술연구원 532
 
3.8%
주식회사 372
 
2.7%
한국산업기술시험원 322
 
2.3%
한국기계전기전자시험연구원 288
 
2.1%
충북테크노파크 228
 
1.6%
한국조선해양기자재연구원 223
 
1.6%
연구장비 208
 
1.5%
Other values (232) 9218
66.7%
2023-12-23T07:53:50.807782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6450
 
5.8%
5449
 
4.9%
5142
 
4.6%
4569
 
4.1%
4563
 
4.1%
4051
 
3.6%
3862
 
3.4%
3826
 
3.4%
2528
 
2.3%
2472
 
2.2%
Other values (267) 69149
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102246
91.2%
Space Separator 3826
 
3.4%
Uppercase Letter 2616
 
2.3%
Close Punctuation 1473
 
1.3%
Open Punctuation 1473
 
1.3%
Other Punctuation 226
 
0.2%
Lowercase Letter 177
 
0.2%
Dash Punctuation 16
 
< 0.1%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6450
 
6.3%
5449
 
5.3%
5142
 
5.0%
4569
 
4.5%
4563
 
4.5%
4051
 
4.0%
3862
 
3.8%
2528
 
2.5%
2472
 
2.4%
2457
 
2.4%
Other values (228) 60703
59.4%
Uppercase Letter
ValueCountFrequency (%)
I 587
22.4%
T 567
21.7%
O 313
12.0%
K 282
10.8%
R 183
 
7.0%
A 173
 
6.6%
D 134
 
5.1%
C 100
 
3.8%
X 90
 
3.4%
S 54
 
2.1%
Other values (7) 133
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 33
18.6%
b 25
14.1%
e 17
9.6%
n 16
9.0%
r 16
9.0%
s 14
7.9%
i 14
7.9%
g 8
 
4.5%
y 8
 
4.5%
l 8
 
4.5%
Other values (3) 18
10.2%
Other Punctuation
ValueCountFrequency (%)
& 99
43.8%
. 90
39.8%
, 22
 
9.7%
/ 15
 
6.6%
Space Separator
ValueCountFrequency (%)
3826
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1473
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102246
91.2%
Common 7022
 
6.3%
Latin 2793
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6450
 
6.3%
5449
 
5.3%
5142
 
5.0%
4569
 
4.5%
4563
 
4.5%
4051
 
4.0%
3862
 
3.8%
2528
 
2.5%
2472
 
2.4%
2457
 
2.4%
Other values (228) 60703
59.4%
Latin
ValueCountFrequency (%)
I 587
21.0%
T 567
20.3%
O 313
11.2%
K 282
10.1%
R 183
 
6.6%
A 173
 
6.2%
D 134
 
4.8%
C 100
 
3.6%
X 90
 
3.2%
S 54
 
1.9%
Other values (20) 310
11.1%
Common
ValueCountFrequency (%)
3826
54.5%
) 1473
 
21.0%
( 1473
 
21.0%
& 99
 
1.4%
. 90
 
1.3%
, 22
 
0.3%
- 16
 
0.2%
/ 15
 
0.2%
_ 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102246
91.2%
ASCII 9815
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6450
 
6.3%
5449
 
5.3%
5142
 
5.0%
4569
 
4.5%
4563
 
4.5%
4051
 
4.0%
3862
 
3.8%
2528
 
2.5%
2472
 
2.4%
2457
 
2.4%
Other values (228) 60703
59.4%
ASCII
ValueCountFrequency (%)
3826
39.0%
) 1473
 
15.0%
( 1473
 
15.0%
I 587
 
6.0%
T 567
 
5.8%
O 313
 
3.2%
K 282
 
2.9%
R 183
 
1.9%
A 173
 
1.8%
D 134
 
1.4%
Other values (29) 804
 
8.2%
Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타
3109 
민간기업
1998 
지자체출연 연구기관
1578 
정부출연 연구기관
965 
기타공공기관
914 
Other values (3)
1436 

Length

Max length10
Median length9
Mean length5.6487
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간기업
2nd row기타
3rd row민간기업
4th row기타공공기관
5th row4년제 국·공립대학

Common Values

ValueCountFrequency (%)
기타 3109
31.1%
민간기업 1998
20.0%
지자체출연 연구기관 1578
15.8%
정부출연 연구기관 965
 
9.7%
기타공공기관 914
 
9.1%
4년제 사립대학 844
 
8.4%
4년제 국·공립대학 420
 
4.2%
2년제 사립대학 172
 
1.7%

Length

2023-12-23T07:53:51.853863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:53:52.907881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 3109
22.2%
연구기관 2543
18.2%
민간기업 1998
14.3%
지자체출연 1578
11.3%
4년제 1264
9.0%
사립대학 1016
 
7.3%
정부출연 965
 
6.9%
기타공공기관 914
 
6.5%
국·공립대학 420
 
3.0%
2년제 172
 
1.2%

Interactions

2023-12-23T07:53:20.812072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:53:53.880164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비정보(장비분류(중))장비정보(제작국가)장비정보(유후불용)장비정보(이용료)운영기관(기관유형)
장비정보(장비분류(중))1.0000.6440.1410.0000.547
장비정보(제작국가)0.6441.0000.0900.1330.331
장비정보(유후불용)0.1410.0901.0000.0000.229
장비정보(이용료)0.0000.1330.0001.0000.000
운영기관(기관유형)0.5470.3310.2290.0001.000
2023-12-23T07:53:55.020332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비정보(제작국가)운영기관(기관유형)장비정보(유후불용)
장비정보(제작국가)1.0000.1320.043
운영기관(기관유형)0.1321.0000.104
장비정보(유후불용)0.0430.1041.000
2023-12-23T07:53:56.142378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비정보(이용료)장비정보(제작국가)장비정보(유후불용)운영기관(기관유형)
장비정보(이용료)1.0000.0450.0000.000
장비정보(제작국가)0.0451.0000.0430.132
장비정보(유후불용)0.0000.0431.0000.104
운영기관(기관유형)0.0000.1320.1041.000

Missing values

2023-12-23T07:53:22.483684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:53:23.796317image/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.
2023-12-23T07:53:24.504704image/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

장비정보(장비분류(중))장비정보(장비분류(소))장비정보(장비명(영문))장비정보(모델명)장비정보(제작국가)장비정보(제작사)장비정보(도입일자)장비정보(유후불용)장비정보(이용료)운영기관(기관명)운영기관(기관유형)
10319재료물성시험장비달리 분류되지 않는 재료물성시험장비dietary fiberOrion 3 star미국Thermo Fisher Scientific2006-01-02활용85000OATC 장비활용서비스민간기업
1903분리분석장비가스크로마토그래피(UPLC(Ultra Performace Liquid Chromatography))H-Class미국Waters2011-12-30활용100000한국화학융합시험연구원기타
9346재료물성시험장비온습도시험기Vibration testerEFL-4일본Espec2019-08-08활용60000디티앤씨민간기업
6757절삭장비복합장비Vertical Multi taskign MachineINTEGREX-i500V/5일본Yamazaki Mazak2017-08-09활용48300한국로봇산업진흥원기타공공기관
142현미경주사전자현미경Ultra High resolution Focused ion BeamHelios 5 UX미국FEI2022-12-30활용200000금오공과대학교 공동실험실습관4년제 국·공립대학
10665분리분석장비액체크로마토그래피Liquid chromatograph1100 (DAD)미국Agilent Technologies2019-07-01활용46000(주)캠바이오민간기업
1861바이오제조/분석장비배양장치INCUBATOR131010-01대한민국제작사명 없음2013-10-30활용4000한국화학융합시험연구원기타
9869분광분석장비유도결합플라즈마원자방출분광기ICP/OES (Inductively Coupled Plasma Optical Emission Spectrometer)iCAP 6000 Duo미국Thermo Fisher Scientific2012-12-01활용90000(주)대덕분석기술연구원 DARI민간기업
10143재료물성시험장비특성평가시스템Dynamic Testing Machine모델명 없음대한민국주식회사 제이,케이,에스2022-01-11활용30000000KCT시험연구원민간기업
3898분광분석장비X-선회절분석기X-ray Diffraction Analysis SystemX`Pert PRO MRD네덜란드Panalytical2004-08-17활용45000대구기계부품연구원기타
장비정보(장비분류(중))장비정보(장비분류(소))장비정보(장비명(영문))장비정보(모델명)장비정보(제작국가)장비정보(제작사)장비정보(도입일자)장비정보(유후불용)장비정보(이용료)운영기관(기관명)운영기관(기관유형)
6794환경조성형시설장비진공/압력/밀폐시설장비Ultra High Pressure Equipment500MPA-INNOWAY대한민국(주)이노웨이2013-10-31활용83000전남생물산업진흥원 나노바이오연구센터지자체출연 연구기관
4502성형/가공장비주조장비Vaccume casting machine for small quantity customised wearable device production (ChemVac-600D)ChemVac-60DP대한민국일범2021-11-25활용14000단국대학교 산학협력단4년제 사립대학
705재료물성시험장비부식시험기Complex Environment TesterDH131111대한민국대한테크2015-06-01활용150000한국산업기술시험원기타공공기관
2469열유체장비항온/항습기Constant Temperature & Humidity ChamberETSP-TH 216S대한민국이티에스피2012-11-15활용30000한국화학융합시험연구원기타
9560바이오제조/분석장비단백질합성/분리분석장치Automatic Kjeldahl SystemK-435/K-436/K-350스위스Buchi2015-09-14활용27000식품 등 시험분석서비스민간기업
7395반응/혼합/분쇄장비시료준비/채취주변장비Beed SamplerZSX PRIMUS II프랑스(주)한국아이티에스2006-03-20활용30000한국건설생활환경시험연구원기타
8338분리분석장비액체크로마토그래피HPLC-PDA-12695미국Waters2018-04-30활용40000KOTITI 시험연구원기타
7087전문의학용특수장비수의학/실험동물검사장비Pulmonary Function Test SystemSFT 3450 외미국Buxco2006-10-18활용5000000한국건설생활환경시험연구원기타
4303측정시험장비전압/전류/전력측정시험장비Temperature rise test set모델명 없음대한민국동영기술2018-04-24활용0한국조선해양기자재연구원기타
1979측정시험장비전지/충방전측정시험장비(5V, 50A)(-)PSC05-50대한민국㈜피앤이솔루션2017-10-10활용22000한국화학융합시험연구원기타

Duplicate rows

Most frequently occurring

장비정보(장비분류(중))장비정보(장비분류(소))장비정보(장비명(영문))장비정보(모델명)장비정보(제작국가)장비정보(제작사)장비정보(도입일자)장비정보(유후불용)장비정보(이용료)운영기관(기관명)운영기관(기관유형)# duplicates
144장비소프트웨어설계/생산소프트웨어Mold flow analysisCATIA V5대한민국CIES(주)2000-05-25활용35000(사)캠틱종합기술원기타19
113열유체장비항온/항습기Constant Temp/Humidity TestIing ChamberPL-4J일본Espec2017-06-01활용0주식회사 아이씨알민간기업10
114열유체장비항온/항습기Constant Temp/Humidity TestIing ChamberPL-4J일본Espec2017-06-01활용5000주식회사 아이씨알민간기업10
172재료물성시험장비온습도시험기Stress Stability Test Chamber System1863012미국Caron2018-05-09활용20000충북테크노파크지자체출연 연구기관8
190재료물성시험장비특성평가시험기11 CH. Hydraulic Durability Teesting System모델명 없음미국Mts2006-05-25활용61000자동차융합기술원지자체출연 연구기관8
15바이오제조/분석장비배양장치CO₂ IncubatorHeracell VIOS 160i미국Thermo Fisher Scientific2022-03-07활용450000IRIS Lab민간기업7
189재료물성시험장비특성평가시험기11 CH. Hydraulic Durability Teesting System모델명 없음미국Mts2006-05-25활용33000자동차융합기술원지자체출연 연구기관7
21바이오제조/분석장비배양장치IncubatorHB-101M대한민국한백과학(HANBAEK)2020-02-13활용0(주)씨티케이민간기업6
52분리분석장비가스크로마토그래피Gas Chromatography-ECD7890A미국Agilent Technologies2008-10-02활용80000(주)씨티케이민간기업6
103열유체장비달리 분류되지 않는 열유체장비FermentorBIOCANVAS LF대한민국센트리온2020-12-22활용2800제주테크노파크 생물종다양성연구소지자체출연 연구기관5