Overview

Dataset statistics

Number of variables15
Number of observations2338
Missing cells647
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory274.1 KiB
Average record size in memory120.1 B

Variable types

Categorical4
Text8
DateTime3

Dataset

DescriptionCRIS는 질병의 예방(Prevention), 조기 발견 및 진단(Early Detection & Diagnosis), 예후(Prognosis), 치료(Treatment) 연구 등사람을 대상으로 하는 모든 연구가 등록 범위에 해당되며, 임상 시험 및 임상연구는 CRIS 등록 전에 각 기관연구윤리심의위원회(Insititutional Review Board)로부터 승인을 받아야 합니다. 또한 다기관연구인 경우에는 부정확한 정보 또는 이중 등록을 방지하기 위하여 책임 연구자의 소속기관에서 해당 연구 정보를 등록하여 하며, CRIS에 등록된 연구정보는 관리자의 승인시점부터 웹상에서 실시간으로 국내·외 대중에게 공개됩니다. CRIS의 운영 목적은 국내 임상시험과 임상연구의 정보 공유 및 윤리성, 투명성 확보에 있으며, 이를 통하여근거 중심의 의과학 연구기반을 마련하고자 합니다.
Author질병관리청
URLhttps://www.data.go.kr/data/15083215/fileData.do

Alerts

중재종류 is highly overall correlated with 연구종류High correlation
임상시험단계 is highly overall correlated with 연구종류High correlation
연구종류 is highly overall correlated with 임상시험단계 and 1 other fieldsHigh correlation
연구대상/질환 has 82 (3.5%) missing valuesMissing
연구종료일 has 557 (23.8%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:16:24.653061
Analysis finished2023-12-12 11:16:29.547802
Duration4.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연구현황
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
모집 중(Recruiting)
1047 
연구종결(Completed)
890 
대상자 모집 전(Not yet recruiting)
256 
모집추가없이 진행중(Active, not recruiting)
114 
모집중단(Terminated)
 
16
Other values (2)
 
15

Length

Max length34
Median length28
Mean length17.804534
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연구종결(Completed)
2nd row모집 중(Recruiting)
3rd row연구종결(Completed)
4th row모집 중(Recruiting)
5th row모집 중(Recruiting)

Common Values

ValueCountFrequency (%)
모집 중(Recruiting) 1047
44.8%
연구종결(Completed) 890
38.1%
대상자 모집 전(Not yet recruiting) 256
 
10.9%
모집추가없이 진행중(Active, not recruiting) 114
 
4.9%
모집중단(Terminated) 16
 
0.7%
연구철회(Withdrawn) 13
 
0.6%
일시중지(Suspended) 2
 
0.1%

Length

2023-12-12T20:16:29.686509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:29.903342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모집 1303
27.4%
중(recruiting 1047
22.0%
연구종결(completed 890
18.7%
recruiting 370
 
7.8%
대상자 256
 
5.4%
전(not 256
 
5.4%
yet 256
 
5.4%
모집추가없이 114
 
2.4%
진행중(active 114
 
2.4%
not 114
 
2.4%
Other values (3) 31
 
0.7%
Distinct2330
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2023-12-12T20:16:30.476081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length639
Median length338
Mean length200.5201
Min length50

Characters and Unicode

Total characters468816
Distinct characters840
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2325 ?
Unique (%)99.4%

Sample

1st row건강한 남성 자원자에서 tadalafil 20 mg 정제와 tadalafil 20 mg 구강용해필름의 안전성과 약동학을 비교평가하기 위한 무작위배정, 공개, 단회 투여, 2X2 교차임상시험 - A randomized, open-label, single-dosing, two-treatment, two-sequence, two-period, 2x2 crossover study to evaluate the safety and pharmacokinetics of tadalafil 20 mg tablet and tadalafil 20 mg Oral Dissolving Film in healthy male volunteers
2nd row악성 식도 협착에서 자가 팽창형 금속제 스텐트의 유용성 : 새롭게 디자인 된 스텐트를 이용한 전향적 연구 - Usefulness of self-expanding metallic stent in malignant esophageal stricture: Prospective study using anti-migration stent newly-redesigned
3rd row열공망막박리에서 충전물로서 공기를 사용한 결과 - Results of Exclusively Using Air as Gas Tamponade in Rhegmatogenous Retinal Detachment
4th row유방암 환자로 항암치료에 수반되는 말초신경병증 환자에게 케어밴드(CarebandR)의 사용에 따른 효과 및 안전성 비교를 위한 단일기관, 무작위배정, 대조제품비교, 단일눈가림, 연구자 임상시험 - A Randomized, Single-blind, Placebo-controlled, Single center, Investigator Initiated Trial to Evaluate the Efficacy and Safety of CarebandR for Chemotherapy Induced Peripheral Neuropathy Subjects
5th row경피적 관상동맥 중재술 및 프라수그렐 투여를 받은 급성 관상동맥 증후군 환자에서 1년간의 임상적 결과를 평가하기 위한 다기관, 비-중재적 관찰연구 - A multicenter, non-interventional observational study to evaluate 1-year clinical outcomes in acute coronary syndrome (ACS) patients undergoing percutaneous coronary interventions (PCI) and Prasugrel therapy.
ValueCountFrequency (%)
of 2729
 
3.6%
2632
 
3.5%
and 1484
 
2.0%
in 1347
 
1.8%
the 1320
 
1.8%
a 928
 
1.2%
study 801
 
1.1%
783
 
1.0%
for 764
 
1.0%
위한 732
 
1.0%
Other values (14711) 61891
82.1%
2023-12-12T20:16:31.415774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73072
 
15.6%
e 29359
 
6.3%
i 23500
 
5.0%
a 23252
 
5.0%
t 22738
 
4.9%
o 22611
 
4.8%
n 21065
 
4.5%
r 16738
 
3.6%
s 13959
 
3.0%
l 13919
 
3.0%
Other values (830) 208603
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 267663
57.1%
Other Letter 92041
 
19.6%
Space Separator 73073
 
15.6%
Uppercase Letter 19083
 
4.1%
Other Punctuation 5465
 
1.2%
Dash Punctuation 5209
 
1.1%
Decimal Number 4291
 
0.9%
Open Punctuation 907
 
0.2%
Close Punctuation 904
 
0.2%
Initial Punctuation 39
 
< 0.1%
Other values (7) 141
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2394
 
2.6%
2307
 
2.5%
2304
 
2.5%
2120
 
2.3%
1844
 
2.0%
1671
 
1.8%
1606
 
1.7%
1556
 
1.7%
1412
 
1.5%
1319
 
1.4%
Other values (717) 73508
79.9%
Lowercase Letter
ValueCountFrequency (%)
e 29359
11.0%
i 23500
 
8.8%
a 23252
 
8.7%
t 22738
 
8.5%
o 22611
 
8.4%
n 21065
 
7.9%
r 16738
 
6.3%
s 13959
 
5.2%
l 13919
 
5.2%
c 12439
 
4.6%
Other values (20) 68083
25.4%
Uppercase Letter
ValueCountFrequency (%)
A 1899
 
10.0%
C 1823
 
9.6%
P 1692
 
8.9%
E 1473
 
7.7%
S 1452
 
7.6%
T 1386
 
7.3%
I 1244
 
6.5%
R 1049
 
5.5%
D 1046
 
5.5%
M 893
 
4.7%
Other values (17) 5126
26.9%
Other Punctuation
ValueCountFrequency (%)
, 3923
71.8%
: 680
 
12.4%
/ 290
 
5.3%
. 262
 
4.8%
? 110
 
2.0%
; 67
 
1.2%
' 48
 
0.9%
% 41
 
0.8%
& 24
 
0.4%
· 9
 
0.2%
Other values (3) 11
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 942
22.0%
2 868
20.2%
0 838
19.5%
3 428
10.0%
5 376
 
8.8%
4 243
 
5.7%
6 185
 
4.3%
8 179
 
4.2%
9 133
 
3.1%
7 99
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 23
67.6%
< 5
 
14.7%
> 2
 
5.9%
~ 2
 
5.9%
= 1
 
2.9%
1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 894
98.6%
[ 11
 
1.2%
1
 
0.1%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 891
98.6%
] 11
 
1.2%
1
 
0.1%
1
 
0.1%
Other Symbol
ValueCountFrequency (%)
17
54.8%
8
25.8%
5
 
16.1%
1
 
3.2%
Letter Number
ValueCountFrequency (%)
7
36.8%
5
26.3%
5
26.3%
2
 
10.5%
Space Separator
ValueCountFrequency (%)
73072
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5207
> 99.9%
2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
32
84.2%
6
 
15.8%
Initial Punctuation
ValueCountFrequency (%)
27
69.2%
12
30.8%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Format
ValueCountFrequency (%)
­ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 286728
61.2%
Hangul 92033
 
19.6%
Common 90002
 
19.2%
Greek 37
 
< 0.1%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2394
 
2.6%
2307
 
2.5%
2304
 
2.5%
2120
 
2.3%
1844
 
2.0%
1671
 
1.8%
1606
 
1.7%
1556
 
1.7%
1412
 
1.5%
1319
 
1.4%
Other values (702) 73500
79.9%
Latin
ValueCountFrequency (%)
e 29359
 
10.2%
i 23500
 
8.2%
a 23252
 
8.1%
t 22738
 
7.9%
o 22611
 
7.9%
n 21065
 
7.3%
r 16738
 
5.8%
s 13959
 
4.9%
l 13919
 
4.9%
c 12439
 
4.3%
Other values (46) 87148
30.4%
Common
ValueCountFrequency (%)
73072
81.2%
- 5207
 
5.8%
, 3923
 
4.4%
1 942
 
1.0%
( 894
 
1.0%
) 891
 
1.0%
2 868
 
1.0%
0 838
 
0.9%
: 680
 
0.8%
3 428
 
0.5%
Other values (41) 2259
 
2.5%
Han
ValueCountFrequency (%)
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (6) 6
37.5%
Greek
ValueCountFrequency (%)
α 16
43.2%
β 13
35.1%
γ 6
 
16.2%
Ι 1
 
2.7%
μ 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 376589
80.3%
Hangul 92022
 
19.6%
Punctuation 79
 
< 0.1%
None 64
 
< 0.1%
Number Forms 19
 
< 0.1%
Letterlike Symbols 17
 
< 0.1%
CJK 15
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73072
19.4%
e 29359
 
7.8%
i 23500
 
6.2%
a 23252
 
6.2%
t 22738
 
6.0%
o 22611
 
6.0%
n 21065
 
5.6%
r 16738
 
4.4%
s 13959
 
3.7%
l 13919
 
3.7%
Other values (76) 116376
30.9%
Hangul
ValueCountFrequency (%)
2394
 
2.6%
2307
 
2.5%
2304
 
2.5%
2120
 
2.3%
1844
 
2.0%
1671
 
1.8%
1606
 
1.7%
1556
 
1.7%
1412
 
1.5%
1319
 
1.4%
Other values (699) 73489
79.9%
Punctuation
ValueCountFrequency (%)
32
40.5%
27
34.2%
12
 
15.2%
6
 
7.6%
2
 
2.5%
Letterlike Symbols
ValueCountFrequency (%)
17
100.0%
None
ValueCountFrequency (%)
α 16
25.0%
β 13
20.3%
· 9
14.1%
8
12.5%
γ 6
 
9.4%
­ 4
 
6.2%
1
 
1.6%
Ι 1
 
1.6%
μ 1
 
1.6%
1
 
1.6%
Other values (4) 4
 
6.2%
Number Forms
ValueCountFrequency (%)
7
36.8%
5
26.3%
5
26.3%
2
 
10.5%
Enclosed Alphanum
ValueCountFrequency (%)
5
100.0%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK
ValueCountFrequency (%)
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Other values (5) 5
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct233
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2023-12-12T20:16:31.799962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length9.4923011
Min length2

Characters and Unicode

Total characters22193
Distinct characters195
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)2.8%

Sample

1st row충남대학교병원
2nd row재단법인아산사회복지재단 서울아산병원
3rd row부산대학교병원
4th row충남대학교
5th row서울대학교병원
ValueCountFrequency (%)
서울아산병원 207
 
8.4%
서울대학교병원 184
 
7.5%
분당서울대학교병원 130
 
5.3%
사)삼성생명공익재단삼성서울병원 78
 
3.2%
건국대학교병원 65
 
2.6%
가톨릭대학교서울성모병원 56
 
2.3%
아주대학교병원 54
 
2.2%
연세대학교의과대학세브란스병원 50
 
2.0%
전북대학교병원 50
 
2.0%
한양대학교병원 39
 
1.6%
Other values (251) 1556
63.0%
2023-12-12T20:16:32.429605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2162
 
9.7%
2130
 
9.6%
2115
 
9.5%
1910
 
8.6%
1860
 
8.4%
821
 
3.7%
809
 
3.6%
419
 
1.9%
415
 
1.9%
363
 
1.6%
Other values (185) 9189
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21829
98.4%
Space Separator 131
 
0.6%
Open Punctuation 108
 
0.5%
Close Punctuation 108
 
0.5%
Lowercase Letter 10
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2162
 
9.9%
2130
 
9.8%
2115
 
9.7%
1910
 
8.7%
1860
 
8.5%
821
 
3.8%
809
 
3.7%
419
 
1.9%
415
 
1.9%
363
 
1.7%
Other values (169) 8825
40.4%
Lowercase Letter
ValueCountFrequency (%)
o 3
30.0%
i 2
20.0%
d 1
 
10.0%
g 1
 
10.0%
t 1
 
10.0%
n 1
 
10.0%
h 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
C 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21829
98.4%
Common 351
 
1.6%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2162
 
9.9%
2130
 
9.8%
2115
 
9.7%
1910
 
8.7%
1860
 
8.5%
821
 
3.8%
809
 
3.7%
419
 
1.9%
415
 
1.9%
363
 
1.7%
Other values (169) 8825
40.4%
Latin
ValueCountFrequency (%)
o 3
23.1%
i 2
15.4%
d 1
 
7.7%
g 1
 
7.7%
t 1
 
7.7%
L 1
 
7.7%
C 1
 
7.7%
n 1
 
7.7%
h 1
 
7.7%
S 1
 
7.7%
Common
ValueCountFrequency (%)
131
37.3%
( 108
30.8%
) 108
30.8%
. 2
 
0.6%
, 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21829
98.4%
ASCII 364
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2162
 
9.9%
2130
 
9.8%
2115
 
9.7%
1910
 
8.7%
1860
 
8.5%
821
 
3.8%
809
 
3.7%
419
 
1.9%
415
 
1.9%
363
 
1.7%
Other values (169) 8825
40.4%
ASCII
ValueCountFrequency (%)
131
36.0%
( 108
29.7%
) 108
29.7%
o 3
 
0.8%
. 2
 
0.5%
i 2
 
0.5%
d 1
 
0.3%
g 1
 
0.3%
t 1
 
0.3%
L 1
 
0.3%
Other values (6) 6
 
1.6%
Distinct531
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2023-12-12T20:16:32.848389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length231
Median length96.5
Mean length40.894354
Min length4

Characters and Unicode

Total characters95611
Distinct characters401
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)13.1%

Sample

1st row(주)씨엘팜(CLPharm)
2nd row재단법인아산사회복지재단 서울아산병원(Asan Medical Center)
3rd row부산대학교병원(Pusan National University Hospital)
4th row보건복지부(Ministry of Health & Welfare)
5th row한국다이이찌산쿄 주식회사(Daiichi-Sankyo Korea)
ValueCountFrequency (%)
university 779
 
7.7%
666
 
6.6%
of 616
 
6.1%
hospital 565
 
5.6%
medical 394
 
3.9%
center 349
 
3.4%
health 331
 
3.3%
welfare 274
 
2.7%
national 269
 
2.7%
보건복지부(ministry 268
 
2.6%
Other values (883) 5605
55.4%
2023-12-12T20:16:33.613378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7778
 
8.1%
e 6318
 
6.6%
i 5646
 
5.9%
a 5351
 
5.6%
n 5181
 
5.4%
t 4589
 
4.8%
o 4035
 
4.2%
r 3715
 
3.9%
l 3252
 
3.4%
s 2970
 
3.1%
Other values (391) 46776
48.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53134
55.6%
Other Letter 18777
 
19.6%
Uppercase Letter 9142
 
9.6%
Space Separator 7778
 
8.1%
Close Punctuation 2931
 
3.1%
Open Punctuation 2931
 
3.1%
Other Punctuation 792
 
0.8%
Dash Punctuation 121
 
0.1%
Other Symbol 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1254
 
6.7%
1158
 
6.2%
945
 
5.0%
926
 
4.9%
835
 
4.4%
623
 
3.3%
596
 
3.2%
508
 
2.7%
424
 
2.3%
410
 
2.2%
Other values (327) 11098
59.1%
Lowercase Letter
ValueCountFrequency (%)
e 6318
11.9%
i 5646
10.6%
a 5351
10.1%
n 5181
9.8%
t 4589
8.6%
o 4035
 
7.6%
r 3715
 
7.0%
l 3252
 
6.1%
s 2970
 
5.6%
y 1684
 
3.2%
Other values (15) 10393
19.6%
Uppercase Letter
ValueCountFrequency (%)
H 1170
12.8%
M 1047
11.5%
C 993
10.9%
U 838
9.2%
K 716
 
7.8%
S 706
 
7.7%
A 427
 
4.7%
I 425
 
4.6%
N 407
 
4.5%
P 367
 
4.0%
Other values (15) 2046
22.4%
Other Punctuation
ValueCountFrequency (%)
& 395
49.9%
, 225
28.4%
. 93
 
11.7%
' 77
 
9.7%
# 1
 
0.1%
/ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
7778
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2931
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 62276
65.1%
Hangul 18779
 
19.6%
Common 14556
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1254
 
6.7%
1158
 
6.2%
945
 
5.0%
926
 
4.9%
835
 
4.4%
623
 
3.3%
596
 
3.2%
508
 
2.7%
424
 
2.3%
410
 
2.2%
Other values (328) 11100
59.1%
Latin
ValueCountFrequency (%)
e 6318
 
10.1%
i 5646
 
9.1%
a 5351
 
8.6%
n 5181
 
8.3%
t 4589
 
7.4%
o 4035
 
6.5%
r 3715
 
6.0%
l 3252
 
5.2%
s 2970
 
4.8%
y 1684
 
2.7%
Other values (40) 19535
31.4%
Common
ValueCountFrequency (%)
7778
53.4%
) 2931
 
20.1%
( 2931
 
20.1%
& 395
 
2.7%
, 225
 
1.5%
- 121
 
0.8%
. 93
 
0.6%
' 77
 
0.5%
3 1
 
< 0.1%
# 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76831
80.4%
Hangul 18777
 
19.6%
None 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7778
 
10.1%
e 6318
 
8.2%
i 5646
 
7.3%
a 5351
 
7.0%
n 5181
 
6.7%
t 4589
 
6.0%
o 4035
 
5.3%
r 3715
 
4.8%
l 3252
 
4.2%
s 2970
 
3.9%
Other values (52) 27996
36.4%
Hangul
ValueCountFrequency (%)
1254
 
6.7%
1158
 
6.2%
945
 
5.0%
926
 
4.9%
835
 
4.4%
623
 
3.3%
596
 
3.2%
508
 
2.7%
424
 
2.3%
410
 
2.2%
Other values (327) 11098
59.1%
None
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

연구종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
중재연구(Interventional Study)
1684 
관찰연구(Observational Study)
654 

Length

Max length26
Median length26
Mean length25.720274
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중재연구(Interventional Study)
2nd row중재연구(Interventional Study)
3rd row중재연구(Interventional Study)
4th row중재연구(Interventional Study)
5th row관찰연구(Observational Study)

Common Values

ValueCountFrequency (%)
중재연구(Interventional Study) 1684
72.0%
관찰연구(Observational Study) 654
 
28.0%

Length

2023-12-12T20:16:33.884480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:34.094095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
study 2338
50.0%
중재연구(interventional 1684
36.0%
관찰연구(observational 654
 
14.0%

임상시험단계
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
해당사항없음(Not applicable)
945 
<NA>
654 
Phase1
221 
Phase4
210 
Phase3
156 
Other values (4)
152 

Length

Max length22
Median length13
Mean length12.048332
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPhase1
2nd rowPhase1
3rd row해당사항없음(Not applicable)
4th row해당사항없음(Not applicable)
5th row<NA>

Common Values

ValueCountFrequency (%)
해당사항없음(Not applicable) 945
40.4%
<NA> 654
28.0%
Phase1 221
 
9.5%
Phase4 210
 
9.0%
Phase3 156
 
6.7%
Phase2 103
 
4.4%
Phase1/Phase2 29
 
1.2%
Phase2/Phase3 18
 
0.8%
Phase0 2
 
0.1%

Length

2023-12-12T20:16:34.339187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:34.584805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당사항없음(not 945
28.8%
applicable 945
28.8%
na 654
19.9%
phase1 221
 
6.7%
phase4 210
 
6.4%
phase3 156
 
4.8%
phase2 103
 
3.1%
phase1/phase2 29
 
0.9%
phase2/phase3 18
 
0.5%
phase0 2
 
0.1%

중재종류
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
의약품(Drug)
749 
<NA>
654 
의료기구(Medical Device)
224 
시술/수술(Procedure/Surgery)
223 
식이보충제(Dietary Supplement)
144 
Other values (29)
344 

Length

Max length91
Median length76
Mean length13.64414
Min length4

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row의약품(Drug)
2nd row의료기구(Medical Device)
3rd row시술/수술(Procedure/Surgery)
4th row의료기구(Medical Device)
5th row<NA>

Common Values

ValueCountFrequency (%)
의약품(Drug) 749
32.0%
<NA> 654
28.0%
의료기구(Medical Device) 224
 
9.6%
시술/수술(Procedure/Surgery) 223
 
9.5%
식이보충제(Dietary Supplement) 144
 
6.2%
기타(Others) 130
 
5.6%
행동요인(Behavioral) 51
 
2.2%
생물학적제제/백신(Biological/Vaccine), 줄기세포를 제외한 생물학적제제/백신(Non-Stem Cell) 33
 
1.4%
의료기구(Medical Device), 시술/수술(Procedure/Surgery) 24
 
1.0%
의약품(Drug), 의료기구(Medical Device) 15
 
0.6%
Other values (24) 91
 
3.9%

Length

2023-12-12T20:16:34.873124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의약품(drug 802
26.5%
na 654
21.6%
시술/수술(procedure/surgery 274
 
9.0%
의료기구(medical 270
 
8.9%
device 270
 
8.9%
기타(others 151
 
5.0%
식이보충제(dietary 146
 
4.8%
supplement 146
 
4.8%
생물학적제제/백신(biological/vaccine 67
 
2.2%
행동요인(behavioral 60
 
2.0%
Other values (7) 189
 
6.2%

등록번호
Text

UNIQUE 

Distinct2338
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2023-12-12T20:16:35.349263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters23380
Distinct characters13
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

Unique2338 ?
Unique (%)100.0%

Sample

1st rowKCT0002360
2nd rowKCT0002359
3rd rowKCT0002358
4th rowKCT0002357
5th rowKCT0002356
ValueCountFrequency (%)
kct0002360 1
 
< 0.1%
kct0000780 1
 
< 0.1%
kct0000795 1
 
< 0.1%
kct0000794 1
 
< 0.1%
kct0000787 1
 
< 0.1%
kct0000793 1
 
< 0.1%
kct0000792 1
 
< 0.1%
kct0000791 1
 
< 0.1%
kct0000790 1
 
< 0.1%
kct0000789 1
 
< 0.1%
Other values (2328) 2328
99.6%
2023-12-12T20:16:36.083539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8768
37.5%
K 2338
 
10.0%
C 2338
 
10.0%
T 2338
 
10.0%
1 1761
 
7.5%
2 1128
 
4.8%
3 731
 
3.1%
4 669
 
2.9%
5 669
 
2.9%
8 662
 
2.8%
Other values (3) 1978
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16366
70.0%
Uppercase Letter 7014
30.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8768
53.6%
1 1761
 
10.8%
2 1128
 
6.9%
3 731
 
4.5%
4 669
 
4.1%
5 669
 
4.1%
8 662
 
4.0%
9 661
 
4.0%
7 659
 
4.0%
6 658
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
K 2338
33.3%
C 2338
33.3%
T 2338
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 16366
70.0%
Latin 7014
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8768
53.6%
1 1761
 
10.8%
2 1128
 
6.9%
3 731
 
4.5%
4 669
 
4.1%
5 669
 
4.1%
8 662
 
4.0%
9 661
 
4.0%
7 659
 
4.0%
6 658
 
4.0%
Latin
ValueCountFrequency (%)
K 2338
33.3%
C 2338
33.3%
T 2338
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8768
37.5%
K 2338
 
10.0%
C 2338
 
10.0%
T 2338
 
10.0%
1 1761
 
7.5%
2 1128
 
4.8%
3 731
 
3.1%
4 669
 
2.9%
5 669
 
2.9%
8 662
 
2.8%
Other values (3) 1978
 
8.5%
Distinct2319
Distinct (%)99.3%
Missing2
Missing (%)0.1%
Memory size18.4 KiB
2023-12-12T20:16:36.616586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length12.302654
Min length1

Characters and Unicode

Total characters28739
Distinct characters103
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2305 ?
Unique (%)98.7%

Sample

1st rowCNUH 2014-08-014
2nd row2016-0471
3rd rowH-1612-005-049
4th rowCNUH 2016-11-020-004
5th rowEFT-OS-16-01
ValueCountFrequency (%)
irb 44
 
1.6%
hyuh 30
 
1.1%
smc 30
 
1.1%
kmc 21
 
0.8%
cuh 16
 
0.6%
cnuh 12
 
0.4%
eumc 12
 
0.4%
kuh 8
 
0.3%
emc 8
 
0.3%
knuh 8
 
0.3%
Other values (2390) 2487
92.9%
2023-12-12T20:16:37.400285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5004
17.4%
1 4130
14.4%
- 3593
12.5%
2 2459
 
8.6%
3 1083
 
3.8%
4 1077
 
3.7%
5 901
 
3.1%
6 888
 
3.1%
C 806
 
2.8%
H 673
 
2.3%
Other values (93) 8125
28.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17104
59.5%
Uppercase Letter 6874
23.9%
Dash Punctuation 3593
 
12.5%
Lowercase Letter 394
 
1.4%
Space Separator 340
 
1.2%
Connector Punctuation 153
 
0.5%
Other Punctuation 116
 
0.4%
Other Letter 84
 
0.3%
Open Punctuation 38
 
0.1%
Close Punctuation 38
 
0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
11.9%
7
 
8.3%
7
 
8.3%
6
 
7.1%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
Other values (21) 36
42.9%
Uppercase Letter
ValueCountFrequency (%)
C 806
11.7%
H 673
 
9.8%
I 629
 
9.2%
B 516
 
7.5%
M 493
 
7.2%
R 442
 
6.4%
K 440
 
6.4%
S 395
 
5.7%
D 342
 
5.0%
U 329
 
4.8%
Other values (16) 1809
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 48
12.2%
a 47
11.9%
o 39
 
9.9%
n 31
 
7.9%
i 28
 
7.1%
r 26
 
6.6%
l 22
 
5.6%
u 21
 
5.3%
c 18
 
4.6%
s 14
 
3.6%
Other values (15) 100
25.4%
Decimal Number
ValueCountFrequency (%)
0 5004
29.3%
1 4130
24.1%
2 2459
14.4%
3 1083
 
6.3%
4 1077
 
6.3%
5 901
 
5.3%
6 888
 
5.2%
7 571
 
3.3%
9 503
 
2.9%
8 488
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 101
87.1%
. 14
 
12.1%
: 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
| 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 3593
100.0%
Space Separator
ValueCountFrequency (%)
340
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21385
74.4%
Latin 7270
 
25.3%
Hangul 84
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 806
 
11.1%
H 673
 
9.3%
I 629
 
8.7%
B 516
 
7.1%
M 493
 
6.8%
R 442
 
6.1%
K 440
 
6.1%
S 395
 
5.4%
D 342
 
4.7%
U 329
 
4.5%
Other values (42) 2205
30.3%
Hangul
ValueCountFrequency (%)
10
 
11.9%
7
 
8.3%
7
 
8.3%
6
 
7.1%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
Other values (21) 36
42.9%
Common
ValueCountFrequency (%)
0 5004
23.4%
1 4130
19.3%
- 3593
16.8%
2 2459
11.5%
3 1083
 
5.1%
4 1077
 
5.0%
5 901
 
4.2%
6 888
 
4.2%
7 571
 
2.7%
9 503
 
2.4%
Other values (10) 1176
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28653
99.7%
Hangul 84
 
0.3%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5004
17.5%
1 4130
14.4%
- 3593
12.5%
2 2459
 
8.6%
3 1083
 
3.8%
4 1077
 
3.8%
5 901
 
3.1%
6 888
 
3.1%
C 806
 
2.8%
H 673
 
2.3%
Other values (61) 8039
28.1%
Hangul
ValueCountFrequency (%)
10
 
11.9%
7
 
8.3%
7
 
8.3%
6
 
7.1%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
Other values (21) 36
42.9%
Number Forms
ValueCountFrequency (%)
2
100.0%

연구대상/질환
Text

MISSING 

Distinct1860
Distinct (%)82.4%
Missing82
Missing (%)3.5%
Memory size18.4 KiB
2023-12-12T20:16:38.000257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length294
Mean length44.007535
Min length1

Characters and Unicode

Total characters99281
Distinct characters627
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1662 ?
Unique (%)73.7%

Sample

1st rowpenile erection
2nd rowObstructive, Stents
3rd rowRetinal Detachment
4th rowBreast Neoplasms Peripheral Nervous System Diseases
5th rowAcute Coronary Syndrome
ValueCountFrequency (%)
환자 253
 
1.7%
of 168
 
1.1%
disease 110
 
0.7%
106
 
0.7%
and 106
 
0.7%
the 96
 
0.6%
건강한 95
 
0.6%
94
 
0.6%
성인 92
 
0.6%
or 87
 
0.6%
Other values (5361) 14083
92.1%
2023-12-12T20:16:38.905636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13026
 
13.1%
e 6132
 
6.2%
i 5064
 
5.1%
a 4623
 
4.7%
t 4160
 
4.2%
o 3970
 
4.0%
r 3950
 
4.0%
s 3937
 
4.0%
n 3456
 
3.5%
l 2714
 
2.7%
Other values (617) 48249
48.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53292
53.7%
Other Letter 22584
22.7%
Space Separator 13035
 
13.1%
Uppercase Letter 4094
 
4.1%
Decimal Number 2294
 
2.3%
Other Punctuation 1964
 
2.0%
Close Punctuation 866
 
0.9%
Open Punctuation 837
 
0.8%
Dash Punctuation 250
 
0.3%
Math Symbol 48
 
< 0.1%
Other values (5) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
734
 
3.3%
612
 
2.7%
604
 
2.7%
566
 
2.5%
519
 
2.3%
464
 
2.1%
419
 
1.9%
342
 
1.5%
332
 
1.5%
317
 
1.4%
Other values (517) 17675
78.3%
Lowercase Letter
ValueCountFrequency (%)
e 6132
11.5%
i 5064
9.5%
a 4623
 
8.7%
t 4160
 
7.8%
o 3970
 
7.4%
r 3950
 
7.4%
s 3937
 
7.4%
n 3456
 
6.5%
l 2714
 
5.1%
c 2633
 
4.9%
Other values (17) 12653
23.7%
Uppercase Letter
ValueCountFrequency (%)
C 434
 
10.6%
S 361
 
8.8%
A 351
 
8.6%
P 304
 
7.4%
I 298
 
7.3%
D 273
 
6.7%
H 271
 
6.6%
M 220
 
5.4%
B 205
 
5.0%
T 187
 
4.6%
Other values (16) 1190
29.1%
Other Punctuation
ValueCountFrequency (%)
, 1165
59.3%
. 546
27.8%
/ 95
 
4.8%
: 66
 
3.4%
; 53
 
2.7%
' 16
 
0.8%
% 7
 
0.4%
· 7
 
0.4%
* 5
 
0.3%
& 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 483
21.1%
1 364
15.9%
2 343
15.0%
5 293
12.8%
3 167
 
7.3%
6 161
 
7.0%
8 130
 
5.7%
7 125
 
5.4%
4 119
 
5.2%
9 109
 
4.8%
Math Symbol
ValueCountFrequency (%)
~ 22
45.8%
7
 
14.6%
> 6
 
12.5%
+ 5
 
10.4%
± 3
 
6.2%
< 2
 
4.2%
2
 
4.2%
= 1
 
2.1%
Letter Number
ValueCountFrequency (%)
2
25.0%
2
25.0%
2
25.0%
1
12.5%
1
12.5%
Space Separator
ValueCountFrequency (%)
13026
99.9%
  9
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 768
88.7%
] 98
 
11.3%
Open Punctuation
ValueCountFrequency (%)
( 739
88.3%
[ 98
 
11.7%
Dash Punctuation
ValueCountFrequency (%)
- 248
99.2%
2
 
0.8%
Other Symbol
ValueCountFrequency (%)
2
66.7%
1
33.3%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 57393
57.8%
Hangul 22584
 
22.7%
Common 19303
 
19.4%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
734
 
3.3%
612
 
2.7%
604
 
2.7%
566
 
2.5%
519
 
2.3%
464
 
2.1%
419
 
1.9%
342
 
1.5%
332
 
1.5%
317
 
1.4%
Other values (517) 17675
78.3%
Latin
ValueCountFrequency (%)
e 6132
 
10.7%
i 5064
 
8.8%
a 4623
 
8.1%
t 4160
 
7.2%
o 3970
 
6.9%
r 3950
 
6.9%
s 3937
 
6.9%
n 3456
 
6.0%
l 2714
 
4.7%
c 2633
 
4.6%
Other values (47) 16754
29.2%
Common
ValueCountFrequency (%)
13026
67.5%
, 1165
 
6.0%
) 768
 
4.0%
( 739
 
3.8%
. 546
 
2.8%
0 483
 
2.5%
1 364
 
1.9%
2 343
 
1.8%
5 293
 
1.5%
- 248
 
1.3%
Other values (32) 1328
 
6.9%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76649
77.2%
Hangul 22570
 
22.7%
None 23
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Math Operators 9
 
< 0.1%
Number Forms 8
 
< 0.1%
Punctuation 5
 
< 0.1%
Geometric Shapes 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13026
17.0%
e 6132
 
8.0%
i 5064
 
6.6%
a 4623
 
6.0%
t 4160
 
5.4%
o 3970
 
5.2%
r 3950
 
5.2%
s 3937
 
5.1%
n 3456
 
4.5%
l 2714
 
3.5%
Other values (73) 25617
33.4%
Hangul
ValueCountFrequency (%)
734
 
3.3%
612
 
2.7%
604
 
2.7%
566
 
2.5%
519
 
2.3%
464
 
2.1%
419
 
1.9%
342
 
1.5%
332
 
1.5%
317
 
1.4%
Other values (514) 17661
78.2%
None
ValueCountFrequency (%)
  9
39.1%
· 7
30.4%
± 3
 
13.0%
2
 
8.7%
α 1
 
4.3%
1
 
4.3%
Math Operators
ValueCountFrequency (%)
7
77.8%
2
 
22.2%
Compat Jamo
ValueCountFrequency (%)
5
35.7%
5
35.7%
4
28.6%
Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Geometric Shapes
ValueCountFrequency (%)
2
66.7%
1
33.3%
Number Forms
ValueCountFrequency (%)
2
25.0%
2
25.0%
2
25.0%
1
12.5%
1
12.5%
Distinct1000
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
Minimum2010-02-11 00:00:00
Maximum2017-06-15 00:00:00
2023-12-12T20:16:39.164503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:39.428679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1210
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
Minimum2010-04-07 00:00:00
Maximum2017-06-19 00:00:00
2023-12-12T20:16:39.740281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:40.011613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1372
Distinct (%)58.8%
Missing6
Missing (%)0.3%
Memory size18.4 KiB
Minimum2002-10-01 00:00:00
Maximum2017-07-03 00:00:00
2023-12-12T20:16:40.238825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:40.467975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연구종료일
Text

MISSING 

Distinct906
Distinct (%)50.9%
Missing557
Missing (%)23.8%
Memory size18.4 KiB
2023-12-12T20:16:40.992697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9275688
Min length1

Characters and Unicode

Total characters17681
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique619 ?
Unique (%)34.8%

Sample

1st row2014-12-10
2nd row2017-12-31
3rd row2017-03-01
4th row2018-04-16
5th row2020-09-30
ValueCountFrequency (%)
2016-12-31 38
 
2.1%
2015-12-31 37
 
2.1%
2015-07-31 26
 
1.5%
2014-12-31 25
 
1.4%
2017-12-31 25
 
1.4%
2012-12-31 22
 
1.2%
2013-12-31 16
 
0.9%
2016-05-31 15
 
0.8%
2018-12-31 15
 
0.8%
2014-02-28 14
 
0.8%
Other values (896) 1548
86.9%
2023-12-12T20:16:41.760566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3736
21.1%
1 3565
20.2%
- 3531
20.0%
2 2964
16.8%
3 1244
 
7.0%
5 560
 
3.2%
6 518
 
2.9%
4 470
 
2.7%
7 411
 
2.3%
8 330
 
1.9%
Other values (23) 352
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14060
79.5%
Dash Punctuation 3531
 
20.0%
Lowercase Letter 60
 
0.3%
Uppercase Letter 30
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 17
28.3%
c 12
20.0%
a 6
 
10.0%
u 5
 
8.3%
p 4
 
6.7%
n 4
 
6.7%
y 2
 
3.3%
r 2
 
3.3%
b 2
 
3.3%
g 2
 
3.3%
Other values (4) 4
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 3736
26.6%
1 3565
25.4%
2 2964
21.1%
3 1244
 
8.8%
5 560
 
4.0%
6 518
 
3.7%
4 470
 
3.3%
7 411
 
2.9%
8 330
 
2.3%
9 262
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
D 11
36.7%
J 5
16.7%
M 4
 
13.3%
S 4
 
13.3%
F 2
 
6.7%
A 2
 
6.7%
N 1
 
3.3%
O 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 3531
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17591
99.5%
Latin 90
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17
18.9%
c 12
13.3%
D 11
12.2%
a 6
 
6.7%
u 5
 
5.6%
J 5
 
5.6%
p 4
 
4.4%
n 4
 
4.4%
M 4
 
4.4%
S 4
 
4.4%
Other values (12) 18
20.0%
Common
ValueCountFrequency (%)
0 3736
21.2%
1 3565
20.3%
- 3531
20.1%
2 2964
16.8%
3 1244
 
7.1%
5 560
 
3.2%
6 518
 
2.9%
4 470
 
2.7%
7 411
 
2.3%
8 330
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3736
21.1%
1 3565
20.2%
- 3531
20.0%
2 2964
16.8%
3 1244
 
7.0%
5 560
 
3.2%
6 518
 
2.9%
4 470
 
2.7%
7 411
 
2.3%
8 330
 
1.9%
Other values (23) 352
 
2.0%
Distinct2283
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2023-12-12T20:16:42.345290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length345
Mean length102.65697
Min length9

Characters and Unicode

Total characters240012
Distinct characters746
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2240 ?
Unique (%)95.8%

Sample

1st rowTadalafil 의 AUClast(AUClast of tadalafil)Tadalafil 의 Cmax(Cmax of tadalafil)
2nd rowECOG performance state(활동력), GOOSS(식이 진행 사항), 임상적 식도 폐쇄에 대한 문진(ECOG performance state, GOOSS(Dietary progress), Esophageal obstruction)
3rd row재유착율(reattachment rate)
4th row숫자통증등급 (Numerical rating scales, NRS)(Numerical rating scales (NRS))
5th row최종 임상적 사건: 심혈관계 원인에 의한 사망, 비-치명적 심근경색, 비-치명적 뇌졸중, 비-관상동맥우회술 관련 TIMI 대출혈(Net clinical events: Death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, non-CABG related TIMI major bleeding)
ValueCountFrequency (%)
of 1531
 
4.4%
and 603
 
1.7%
597
 
1.7%
the 554
 
1.6%
in 333
 
1.0%
scale 240
 
0.7%
233
 
0.7%
212
 
0.6%
rate 178
 
0.5%
score 170
 
0.5%
Other values (11498) 29832
86.5%
2023-12-12T20:16:43.705714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32142
 
13.4%
e 16627
 
6.9%
a 12686
 
5.3%
i 11672
 
4.9%
t 11369
 
4.7%
o 10939
 
4.6%
n 10510
 
4.4%
r 9203
 
3.8%
s 8603
 
3.6%
c 6454
 
2.7%
Other values (736) 109807
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 137575
57.3%
Other Letter 38950
 
16.2%
Space Separator 32146
 
13.4%
Uppercase Letter 14000
 
5.8%
Close Punctuation 5035
 
2.1%
Open Punctuation 5008
 
2.1%
Other Punctuation 2950
 
1.2%
Decimal Number 2907
 
1.2%
Dash Punctuation 1242
 
0.5%
Math Symbol 94
 
< 0.1%
Other values (7) 105
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1386
 
3.6%
931
 
2.4%
723
 
1.9%
641
 
1.6%
636
 
1.6%
571
 
1.5%
538
 
1.4%
525
 
1.3%
516
 
1.3%
515
 
1.3%
Other values (624) 31968
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 16627
12.1%
a 12686
 
9.2%
i 11672
 
8.5%
t 11369
 
8.3%
o 10939
 
8.0%
n 10510
 
7.6%
r 9203
 
6.7%
s 8603
 
6.3%
c 6454
 
4.7%
l 6203
 
4.5%
Other values (21) 33309
24.2%
Uppercase Letter
ValueCountFrequency (%)
C 1774
12.7%
A 1588
 
11.3%
S 1378
 
9.8%
T 842
 
6.0%
D 797
 
5.7%
I 771
 
5.5%
P 722
 
5.2%
M 703
 
5.0%
R 698
 
5.0%
E 549
 
3.9%
Other values (17) 4178
29.8%
Other Punctuation
ValueCountFrequency (%)
, 1984
67.3%
. 274
 
9.3%
/ 228
 
7.7%
: 219
 
7.4%
% 109
 
3.7%
? 38
 
1.3%
' 35
 
1.2%
; 20
 
0.7%
& 19
 
0.6%
" 18
 
0.6%
Other values (2) 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 700
24.1%
2 552
19.0%
0 468
16.1%
3 271
 
9.3%
4 239
 
8.2%
5 226
 
7.8%
8 144
 
5.0%
6 115
 
4.0%
9 103
 
3.5%
7 89
 
3.1%
Math Symbol
ValueCountFrequency (%)
~ 22
23.4%
18
19.1%
< 14
14.9%
+ 12
12.8%
> 9
9.6%
= 7
 
7.4%
7
 
7.4%
4
 
4.3%
± 1
 
1.1%
Other Symbol
ValueCountFrequency (%)
4
33.3%
3
25.0%
° 3
25.0%
2
16.7%
Close Punctuation
ValueCountFrequency (%)
) 5002
99.3%
] 32
 
0.6%
1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
32142
> 99.9%
  4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4975
99.3%
[ 33
 
0.7%
Final Punctuation
ValueCountFrequency (%)
41
95.3%
2
 
4.7%
Initial Punctuation
ValueCountFrequency (%)
19
76.0%
6
 
24.0%
Letter Number
ValueCountFrequency (%)
4
66.7%
2
33.3%
Other Number
ValueCountFrequency (%)
½ 3
75.0%
1
 
25.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
66.7%
` 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1242
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 151498
63.1%
Common 49481
 
20.6%
Hangul 38950
 
16.2%
Greek 83
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1386
 
3.6%
931
 
2.4%
723
 
1.9%
641
 
1.6%
636
 
1.6%
571
 
1.5%
538
 
1.4%
525
 
1.3%
516
 
1.3%
515
 
1.3%
Other values (624) 31968
82.1%
Latin
ValueCountFrequency (%)
e 16627
 
11.0%
a 12686
 
8.4%
i 11672
 
7.7%
t 11369
 
7.5%
o 10939
 
7.2%
n 10510
 
6.9%
r 9203
 
6.1%
s 8603
 
5.7%
c 6454
 
4.3%
l 6203
 
4.1%
Other values (44) 47232
31.2%
Common
ValueCountFrequency (%)
32142
65.0%
) 5002
 
10.1%
( 4975
 
10.1%
, 1984
 
4.0%
- 1242
 
2.5%
1 700
 
1.4%
2 552
 
1.1%
0 468
 
0.9%
. 274
 
0.6%
3 271
 
0.5%
Other values (42) 1871
 
3.8%
Greek
ValueCountFrequency (%)
τ 44
53.0%
γ 13
 
15.7%
α 12
 
14.5%
β 10
 
12.0%
Δ 2
 
2.4%
λ 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200849
83.7%
Hangul 38950
 
16.2%
None 100
 
< 0.1%
Punctuation 68
 
< 0.1%
Math Operators 29
 
< 0.1%
Geometric Shapes 7
 
< 0.1%
Number Forms 6
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32142
16.0%
e 16627
 
8.3%
a 12686
 
6.3%
i 11672
 
5.8%
t 11369
 
5.7%
o 10939
 
5.4%
n 10510
 
5.2%
r 9203
 
4.6%
s 8603
 
4.3%
c 6454
 
3.2%
Other values (77) 70644
35.2%
Hangul
ValueCountFrequency (%)
1386
 
3.6%
931
 
2.4%
723
 
1.9%
641
 
1.6%
636
 
1.6%
571
 
1.5%
538
 
1.4%
525
 
1.3%
516
 
1.3%
515
 
1.3%
Other values (624) 31968
82.1%
None
ValueCountFrequency (%)
τ 44
44.0%
γ 13
 
13.0%
α 12
 
12.0%
β 10
 
10.0%
· 5
 
5.0%
  4
 
4.0%
½ 3
 
3.0%
° 3
 
3.0%
Δ 2
 
2.0%
λ 2
 
2.0%
Other values (2) 2
 
2.0%
Punctuation
ValueCountFrequency (%)
41
60.3%
19
27.9%
6
 
8.8%
2
 
2.9%
Math Operators
ValueCountFrequency (%)
18
62.1%
7
 
24.1%
4
 
13.8%
Number Forms
ValueCountFrequency (%)
4
66.7%
2
33.3%
Geometric Shapes
ValueCountFrequency (%)
4
57.1%
3
42.9%
Enclosed Alphanum
ValueCountFrequency (%)
2
66.7%
1
33.3%

Correlations

2023-12-12T20:16:43.871939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구현황연구종류임상시험단계중재종류
연구현황1.0000.1220.1950.184
연구종류0.1221.000NaNNaN
임상시험단계0.195NaN1.0000.587
중재종류0.184NaN0.5871.000
2023-12-12T20:16:44.046817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중재종류연구현황임상시험단계연구종류
중재종류1.0000.0760.2691.000
연구현황0.0761.0000.1050.130
임상시험단계0.2690.1051.0001.000
연구종류1.0000.1301.0001.000
2023-12-12T20:16:44.201766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구현황연구종류임상시험단계중재종류
연구현황1.0000.1300.1050.076
연구종류0.1301.0001.0001.000
임상시험단계0.1051.0001.0000.269
중재종류0.0761.0000.2691.000

Missing values

2023-12-12T20:16:28.718739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:16:29.087684image/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.
2023-12-12T20:16:29.382992image/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

연구현황연구정보연구의뢰자연구비지원기관연구종류임상시험단계중재종류등록번호연구고유번호연구대상/질환등록일최종갱신일첫환자등록일자연구종료일주요결과변수
0연구종결(Completed)건강한 남성 자원자에서 tadalafil 20 mg 정제와 tadalafil 20 mg 구강용해필름의 안전성과 약동학을 비교평가하기 위한 무작위배정, 공개, 단회 투여, 2X2 교차임상시험 - A randomized, open-label, single-dosing, two-treatment, two-sequence, two-period, 2x2 crossover study to evaluate the safety and pharmacokinetics of tadalafil 20 mg tablet and tadalafil 20 mg Oral Dissolving Film in healthy male volunteers충남대학교병원(주)씨엘팜(CLPharm)중재연구(Interventional Study)Phase1의약품(Drug)KCT0002360CNUH 2014-08-014penile erection2017-06-152017-05-292014-10-022014-12-10Tadalafil 의 AUClast(AUClast of tadalafil)Tadalafil 의 Cmax(Cmax of tadalafil)
1모집 중(Recruiting)악성 식도 협착에서 자가 팽창형 금속제 스텐트의 유용성 : 새롭게 디자인 된 스텐트를 이용한 전향적 연구 - Usefulness of self-expanding metallic stent in malignant esophageal stricture: Prospective study using anti-migration stent newly-redesigned재단법인아산사회복지재단 서울아산병원재단법인아산사회복지재단 서울아산병원(Asan Medical Center)중재연구(Interventional Study)Phase1의료기구(Medical Device)KCT00023592016-0471Obstructive, Stents2017-06-152017-06-152017-06-012017-12-31ECOG performance state(활동력), GOOSS(식이 진행 사항), 임상적 식도 폐쇄에 대한 문진(ECOG performance state, GOOSS(Dietary progress), Esophageal obstruction)
2연구종결(Completed)열공망막박리에서 충전물로서 공기를 사용한 결과 - Results of Exclusively Using Air as Gas Tamponade in Rhegmatogenous Retinal Detachment부산대학교병원부산대학교병원(Pusan National University Hospital)중재연구(Interventional Study)해당사항없음(Not applicable)시술/수술(Procedure/Surgery)KCT0002358H-1612-005-049Retinal Detachment2017-06-152017-05-242016-12-252017-03-01재유착율(reattachment rate)
3모집 중(Recruiting)유방암 환자로 항암치료에 수반되는 말초신경병증 환자에게 케어밴드(CarebandR)의 사용에 따른 효과 및 안전성 비교를 위한 단일기관, 무작위배정, 대조제품비교, 단일눈가림, 연구자 임상시험 - A Randomized, Single-blind, Placebo-controlled, Single center, Investigator Initiated Trial to Evaluate the Efficacy and Safety of CarebandR for Chemotherapy Induced Peripheral Neuropathy Subjects충남대학교보건복지부(Ministry of Health & Welfare)중재연구(Interventional Study)해당사항없음(Not applicable)의료기구(Medical Device)KCT0002357CNUH 2016-11-020-004Breast Neoplasms Peripheral Nervous System Diseases2017-06-132017-05-242017-04-282018-04-16숫자통증등급 (Numerical rating scales, NRS)(Numerical rating scales (NRS))
4모집 중(Recruiting)경피적 관상동맥 중재술 및 프라수그렐 투여를 받은 급성 관상동맥 증후군 환자에서 1년간의 임상적 결과를 평가하기 위한 다기관, 비-중재적 관찰연구 - A multicenter, non-interventional observational study to evaluate 1-year clinical outcomes in acute coronary syndrome (ACS) patients undergoing percutaneous coronary interventions (PCI) and Prasugrel therapy.서울대학교병원한국다이이찌산쿄 주식회사(Daiichi-Sankyo Korea)관찰연구(Observational Study)<NA><NA>KCT0002356EFT-OS-16-01Acute Coronary Syndrome2017-06-132017-05-232017-03-092020-09-30최종 임상적 사건: 심혈관계 원인에 의한 사망, 비-치명적 심근경색, 비-치명적 뇌졸중, 비-관상동맥우회술 관련 TIMI 대출혈(Net clinical events: Death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, non-CABG related TIMI major bleeding)
5모집 중(Recruiting)어깨 관절경 수술 후 통증에 대한 침스밴드의 효과를 평가하기 위한 무작위배정 탐색임상시험 - A randomized exploratory clinical trial to evaluate the effectiveness of the chimsband therapy for pain after shoulder arthroscopic surgery동신대학교한국한의학연구원(Korea Institute of Oriental Medicine)중재연구(Interventional Study)해당사항없음(Not applicable)의료기구(Medical Device)KCT0002355KE1601어깨 관절경 수술 후 어깨부위 통증을 호소하는 자2017-06-132017-05-242017-05-16<NA>시각상사척도(Visual Analog Scale (VAS))
6연구종결(Completed)내시경적 역행성 담췌관조영술 4시간 후 임상 평가를 바탕으로 한 조기 경구식이의 임상적 안전성과 환자 만족도 분석: 무작위, 전향적 연구 - Clinical safety and patient satisfaction of early re-feeding based on evaluation at 4 hours after endoscopic retrograde cholangio-pancreatography: A prospective randomized controlled trial한림대학교동탄성심병원한림대학교동탄성심병원(Hallym University Medical Center-Dongtan)중재연구(Interventional Study)해당사항없음(Not applicable)시술/수술(Procedure/Surgery)KCT00023542015-238-Iall disease requiring ERCP2017-06-132017-05-242015-07-222017-04-21ERCP 시술 후 시술관련 급성췌장염의 발생빈도(the incidence of post ERCP pancreatitis)
7모집 중(Recruiting)복강경하 담낭절제술을 시행받는 남자환자에서 마취 후 기관내튜브 제거 중 기침 예방을 위한 remifentanil의 적정 효과처 농도에 나이가 미치는 영향 - Effects of age on the optimal effect-site concentration of remifentanil for preventing cough during anesthetic emergence in male patients undergoing laparoscopic cholecystectomy아주대학교아주대학교병원(Ajou University Hospital)중재연구(Interventional Study)Phase4기타(Others)KCT0002353AJIRB-MED-OBS-16-146laparoscopic cholecystectomy 시행받는 20-50세와 65-75세 남자 환자2017-06-132017-05-242016-06-272017-12-31마취로 부터 각성시 발관 5분 이내의 기침 유무(presence or absence of cough after extubation within 5 min)
8모집 중(Recruiting)비디오 투시 삼킴 검사 중 인두너비 측정을 통한 흡인 예측 - Prediction of aspiration using pharyngeal width taken during VFSS한림대학교한림대학교(Hallym University)관찰연구(Observational Study)<NA><NA>KCT00023522017-I040Dysphagia, Cerebral infarction, Cerebral hemorrhage2017-06-122017-05-232017-06-012018-05-31인두 너비(Pharyngeal width)
9연구종결(Completed)복부근육 활동도 측정을 위한 압력 측정 기기의 선행적, 탐색적 연구 - Novel pressure sensor device to measure abdominal muscle activities: a preliminary and exploratory study서울대학교병원서울대학교병원(Seoul National University Hospital)관찰연구(Observational Study)<NA><NA>KCT0002351H-1410-059-618low back pain2017-06-092017-05-232014-11-012015-03-31표면 근전도의 출력과 본 연구에서 개발한 압력센서 출력간의 상관관계(Correlation coefficient between surface electromyogram and output of the pressure sensor developed in thist study)
연구현황연구정보연구의뢰자연구비지원기관연구종류임상시험단계중재종류등록번호연구고유번호연구대상/질환등록일최종갱신일첫환자등록일자연구종료일주요결과변수
2328모집 중(Recruiting)췌장 절제술을 시행 받은 환자에서 췌장효소 보충제제의 투여가 삶의 질과 영양학적 지표에 미치는 영향에 대한 전향적 연구 - Prospective study for the effects of pancreatic enzyme replacement therapy on quality of life and nutritional assessment after pancreas resection서울대학교서울대학교(Seoul National University)중재연구(Interventional Study)Phase3의약품(Drug)KCT0000010H-0801-030-232Malignant neoplasm of ampulla of Vater(바터 팽대부 악성신생물),Benign neoplasMalignant neoplasm of ampulla of Vater(바터 팽대부 악성신생물),Benign neoplasm of pancreas(췌장(이자) 양성신생물),Cyst of pancreas(췌장(이자)의 낭종),Malignant neoplasm of pancreas(췌장(이자)의 악성신생물),Neoplasm of uncertain or unknown behavior of pancreas(췌장(이자)의 행동양식 불명 또는 미상의 신생물),Benign neoplasm of endocrine pancreas(내분비 췌장(이자) 양성신생물),Carcinoma in situ of pancreas(췌장(이자) 상피내 암종),Malignant neoplasm of duodenum(십이지장 악성신생물),Malignant neoplasm of common bile duct(총 쓸개관(총담관)의 악성신생물)2010-06-302010-06-282008-09-08<NA>삶의 질(quality of life)
2329연구종결(Completed)초발 정신병 환자에서 Paliperidone의 효과와 안정성: 개방형, 전향적, 다기관 연구 - Efficacy and Safety of Paliperidone in Patients With First Episode Psychosis: an Open-label, Prospective Multi-center Study전북대학교병원전북대학교병원(Chonbuk National University Hospital)중재연구(Interventional Study)Phase4의약품(Drug)KCT0000009CBIRB0912-141Schizophrenia(정신분열병)2010-06-282015-04-162010-03-152014-02-27PANSS total score, SANS, CGI, CAI(Cognitive Assessment Interview) (PANSS total score, SANS, CGI, CAI(Cognitive Assessment Interview) )
2330연구종결(Completed)수술적 및/또는 비수술적 치료를 받은 간세포암 환자를 대상으로 대조군과 크레아박스-에치씨씨(자가유래 성숙화 수지상세포) 투여군의 유효성과 안전성을 비교하여평가하기 위한 공개, 무작위배정, 다기관 제2상 임상연구 - A Opened, Randomized, Multi-centered Phase II study on the efficacy and safety of CreaVax-HCC(Autologous Mature Dendritic Cells)in patients with hepatocellular carcinoma for comparing after a operation and/or non-operation therapy서울대학교병원한국보건산업진흥원(Korea Health Industry Development Institute)중재연구(Interventional Study)Phase2생물학적제제/백신(Biological/Vaccine)KCT0000008CreaVax-HCC-002Liver cell carcinoma(간세포암종)2010-06-282014-02-032010-06-152013-09-27무재발생존율(Recurrence free survival rate)
2331모집 중(Recruiting)술중 지속적으로 투여된 저농도의 esmolol이 흡입마취제와 마약제제의 요구량에 미치는 효과 - The effect of continuous infusion of low-dose esmolol on the requirement of inhalation anesthetics and opioid during surgery가톨릭대학교서울성모병원없음(none)중재연구(Interventional Study)해당사항없음(Not applicable)의약품(Drug)KCT0000007KC09MISI0324-2Not Applicable( 해당사항없음)2010-06-282010-06-252009-12-21<NA>remifentanil의 평균농도(average effect-site concentration of remifentanil)remifentanil의 적정농도에 대한 평균농도의 비(ratio of average to adequate effect-site concentration of remifentanil)단위시간당 remifentanil 효과처농도의 상승/하강 횟수(frequency of increase and decrease in the effect-site concentration of remifentanil per hour)
2332모집 중(Recruiting)초발 정신병 환자에서 Aripiprazole의 효과와 안정성: 개방형, 전향적, 다기관 연구 - Efficacy and Safety of Aripiprazole in Patients With First Episode Psychosis: an Open-label, Prospective Multi-center Study전북대학교병원전북대학교병원(Chonbuk National University Hospital)중재연구(Interventional Study)Phase4의약품(Drug)KCT0000006CBIRB0909-97Schizophrenia(정신분열병)2010-06-232010-06-282009-11-05<NA>PANSS total score, SANS, CGI, CAI(Cognitive Assessment Interview)(PANSS total score, SANS, CGI, CAI(Cognitive Assessment Interview))
2333모집 중(Recruiting)복강경하 산부인과 수술을 받는 환자를 대상으로 술중 지속적으로 투여된 저농도의 esmolol이 흡입마취제와 마약제제의 요구량에 미치는 효과에 관한 전향적, 무작위배정, 2개군 시험 - Prospective, randomized, two-arm parallel group trial for the sparing effects of low-dose esmolol on inhalation anesthetics in patients undergoing laparoscopic gynecologic surgery가톨릭대학교서울성모병원없음(None)중재연구(Interventional Study)해당사항없음(Not applicable)의약품(Drug)KCT0000005KC09MISI0324-1Not Applicable( 해당사항없음)2010-06-232010-06-232009-12-21<NA>약물주입을 전후로 한 sevoflurane의 흡입 농도의 차이 (The difference between the input concentration before infusing the study drug and the input concentration after infusing the study drug)
2334모집 중(Recruiting)다제내성결핵 접촉자의 접촉 후 2년 간의 결핵 발병률에 대한 다기관 전향적 코호트 연구 - Multicenter, prospective cohort study about incidence of tuberculosis for 2 years after contact to patients with multidrug-resistant tuberculosis서울아산병원대한 결핵 및 호흡기 학회(The Korean Academy of Tuberculosis and Respiratory Diseases)관찰연구(Observational Study)<NA><NA>KCT00000042010-0014Not Applicable( 해당사항없음)2010-06-092010-06-102010-02-16<NA>결핵 발생률(incidence of tuberculosis )
2335모집 중(Recruiting)유방전절제 후 Guardix-sol.의 상지기능 장애 예방에 대한 연구 - The clinical efficacy of Guardix-sol. for the prevention of arm and shoulder morbidity after total mastectomy분당서울대학교병원한미메디케어(Hanmimedicare)중재연구(Interventional Study)Phase4의료기구(Medical Device)KCT000000306-2009081Carcinoma in situ of breast(유방의 상피내 암종),Malignant neoplasm of breast(C50)(유방의 악성신생물)2010-06-092010-06-092009-07-13<NA>어깨관절 운동 범위(Active range of motion of shoulder)
2336대상자 모집 전(Not yet recruiting)암 생존 환자에서의 지식, 태도, 행동에 관한 건강교육자료에 대한 효과의 무작위적 시험 - A Randomized Controlled Trial on the Effect of Intervention With Health Educational Material on Knowledge, Attitude, and Behavior in Cancer Survivors국립암센터국립암센터(National Cancer Center)중재연구(Interventional Study)Phase2행동요인(Behavioral)KCT0000002NCS-09-266Malignant neoplasm of breast(C50)(유방의 악성신생물),Malignant neoplasm of stomach(위의 악성신생물),Malignant neoplasm of thyroid gland(갑상샘의 악성신생물),Malignant neoplasm of colon(결장의 악성신생물)2010-02-112011-01-182009-08-0110-Dec행동 스크리닝 (Screening behavior for second primary cancer)
2337모집 중(Recruiting)심혈관 질환의 여러 위험 인자들을 갖고 있는 환자에서 주요 심혈관계 사건의 위험성 감소에 대한 피타바스타틴 2mg 1일 1회 용법의 무작위배정, 다기관, open-labeled, 2개군, 평행군 시험 - Randomized, multicenter, open-labeled, two-arm parallel group trial of pitavastatin 2 mg OD for reducing the risk of major cardiovascular events in patients with clustering cardiovascular risk factors울산대학교질병관리본부(Korea Centers for Disease Control and Prevention)중재연구(Interventional Study)Phase3의약품(Drug)KCT00000012009-0074Hyperlipidemia, unspecified(상세불명의 고지혈증),Hypertension, essential(본태성 고혈압),Diabetes mellitus(E10-E14)(당뇨병)2010-02-112010-04-072009-05-14<NA>임의의 심근경색, 임의의 뇌졸중, 심혈관계 사망, 심혈관계 원인으로 인한 입원(불안정성 협심증, 이로가성허혈성 발작, 유의한 혈관의 협착의 발생 또는 혈관재생술/혈관재개통술)(Myocardial infarction, stroke, Cardiovascular death, Hospitalization due to unstable angina, TIA, the development of atherosclerotic)