Overview

Dataset statistics

Number of variables9
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory75.0 B

Variable types

Numeric1
Categorical2
Text5
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 수의 R&D 논문정보 공개 농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075472/fileData.do

Alerts

분류 has constant value ""Constant
번호 is highly overall correlated with 연구책임자High correlation
연구책임자 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:45:12.751534
Analysis finished2023-12-12 11:45:14.113063
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T20:45:14.220771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2023-12-12T20:45:14.503997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
수의
67 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의 67
100.0%

Length

2023-12-12T20:45:14.712889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:45:14.851389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의 67
100.0%

과제번호
Text

Distinct34
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T20:45:15.082033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters536
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)29.9%

Sample

1st row116074-3
2nd row116084-3
3rd row116084-3
4th row116134-3
5th row116134-3
ValueCountFrequency (%)
716002-7 13
19.4%
119058-2 6
 
9.0%
320005-4 5
 
7.5%
918020-4 3
 
4.5%
116084-3 2
 
3.0%
318069-3 2
 
3.0%
318046-2 2
 
3.0%
316036-3 2
 
3.0%
318031-3 2
 
3.0%
118093-3 2
 
3.0%
Other values (24) 28
41.8%
2023-12-12T20:45:15.519706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 97
18.1%
1 93
17.4%
- 67
12.5%
3 66
12.3%
2 49
9.1%
8 34
 
6.3%
7 30
 
5.6%
6 29
 
5.4%
9 29
 
5.4%
5 24
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 469
87.5%
Dash Punctuation 67
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 97
20.7%
1 93
19.8%
3 66
14.1%
2 49
10.4%
8 34
 
7.2%
7 30
 
6.4%
6 29
 
6.2%
9 29
 
6.2%
5 24
 
5.1%
4 18
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 536
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 97
18.1%
1 93
17.4%
- 67
12.5%
3 66
12.3%
2 49
9.1%
8 34
 
6.3%
7 30
 
5.6%
6 29
 
5.4%
9 29
 
5.4%
5 24
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 97
18.1%
1 93
17.4%
- 67
12.5%
3 66
12.3%
2 49
9.1%
8 34
 
6.3%
7 30
 
5.6%
6 29
 
5.4%
9 29
 
5.4%
5 24
 
4.5%

과제명
Text

Distinct34
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T20:45:15.949266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length50
Mean length39.835821
Min length8

Characters and Unicode

Total characters2669
Distinct characters269
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)29.9%

Sample

1st rowSAVE 기술을 이용한 PRRSV 생독백신의 안전성/면역원성 최적화 및 산업화
2nd rowGABA(-aminobutyric acid) 기반의 경구용 자돈 빈혈예방 제품 개발
3rd rowGABA(-aminobutyric acid) 기반의 경구용 자돈 빈혈예방 제품 개발
4th row항균 및 세균독소 펩타이드 고효율 생산기술의 적용을 통한 항생제 대체 치료제 및 고효율 백신생산 기술의 개발
5th row항균 및 세균독소 펩타이드 고효율 생산기술의 적용을 통한 항생제 대체 치료제 및 고효율 백신생산 기술의 개발
ValueCountFrequency (%)
및 49
 
8.0%
개발 48
 
7.8%
위한 19
 
3.1%
방제기술 13
 
2.1%
전문가양성 13
 
2.1%
프로그램 13
 
2.1%
체계화 13
 
2.1%
바이러스 8
 
1.3%
연구 7
 
1.1%
저감대책을 6
 
1.0%
Other values (225) 427
69.3%
2023-12-12T20:45:16.547495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
549
 
20.6%
개 57
 
2.1%
발 56
 
2.1%
및 49
 
1.8%
기 42
 
1.6%
제 41
 
1.5%
한 37
 
1.4%
신 37
 
1.4%
성 35
 
1.3%
가 34
 
1.3%
Other values (259) 1732
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1822
68.3%
Space Separator 549
 
20.6%
Lowercase Letter 165
 
6.2%
Uppercase Letter 100
 
3.7%
Other Punctuation 18
 
0.7%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 57
 
3.1%
발 56
 
3.1%
및 49
 
2.7%
기 42
 
2.3%
제 41
 
2.3%
한 37
 
2.0%
신 37
 
2.0%
성 35
 
1.9%
가 34
 
1.9%
생 29
 
1.6%
Other values (217) 1405
77.1%
Lowercase Letter
ValueCountFrequency (%)
a 19
11.5%
u 18
10.9%
i 16
9.7%
s 13
 
7.9%
c 13
 
7.9%
b 12
 
7.3%
r 11
 
6.7%
o 10
 
6.1%
t 9
 
5.5%
m 8
 
4.8%
Other values (8) 36
21.8%
Uppercase Letter
ValueCountFrequency (%)
A 23
23.0%
I 19
19.0%
P 9
 
9.0%
D 8
 
8.0%
V 8
 
8.0%
H 5
 
5.0%
S 5
 
5.0%
R 4
 
4.0%
C 4
 
4.0%
T 3
 
3.0%
Other values (7) 12
12.0%
Other Punctuation
ValueCountFrequency (%)
, 12
66.7%
. 3
 
16.7%
/ 3
 
16.7%
Space Separator
ValueCountFrequency (%)
549
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1822
68.3%
Common 582
 
21.8%
Latin 265
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 57
 
3.1%
발 56
 
3.1%
및 49
 
2.7%
기 42
 
2.3%
제 41
 
2.3%
한 37
 
2.0%
신 37
 
2.0%
성 35
 
1.9%
가 34
 
1.9%
생 29
 
1.6%
Other values (217) 1405
77.1%
Latin
ValueCountFrequency (%)
A 23
 
8.7%
I 19
 
7.2%
a 19
 
7.2%
u 18
 
6.8%
i 16
 
6.0%
s 13
 
4.9%
c 13
 
4.9%
b 12
 
4.5%
r 11
 
4.2%
o 10
 
3.8%
Other values (25) 111
41.9%
Common
ValueCountFrequency (%)
549
94.3%
, 12
 
2.1%
( 6
 
1.0%
) 6
 
1.0%
. 3
 
0.5%
- 3
 
0.5%
/ 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1822
68.3%
ASCII 847
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
549
64.8%
A 23
 
2.7%
I 19
 
2.2%
a 19
 
2.2%
u 18
 
2.1%
i 16
 
1.9%
s 13
 
1.5%
c 13
 
1.5%
, 12
 
1.4%
b 12
 
1.4%
Other values (32) 153
 
18.1%
Hangul
ValueCountFrequency (%)
개 57
 
3.1%
발 56
 
3.1%
및 49
 
2.7%
기 42
 
2.3%
제 41
 
2.3%
한 37
 
2.0%
신 37
 
2.0%
성 35
 
1.9%
가 34
 
1.9%
생 29
 
1.6%
Other values (217) 1405
77.1%

연구책임자
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size668.0 B
장형관
13 
이존화
6 
이완규
5 
김원일
4 
유한상
 
3
Other values (28)
36 

Length

Max length3
Median length3
Mean length2.9402985
Min length2

Unique

Unique20 ?
Unique (%)29.9%

Sample

1st row박창훈
2nd row한종권
3rd row한종권
4th row박찬규
5th row박찬규

Common Values

ValueCountFrequency (%)
장형관 13
19.4%
이존화 6
 
9.0%
이완규 5
 
7.5%
김원일 4
 
6.0%
유한상 3
 
4.5%
정승현 2
 
3.0%
오원근 2
 
3.0%
한종권 2
 
3.0%
장홍희 2
 
3.0%
강민 2
 
3.0%
Other values (23) 26
38.8%

Length

2023-12-12T20:45:16.764354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장형관 13
19.4%
이존화 6
 
9.0%
이완규 5
 
7.5%
김원일 4
 
6.0%
유한상 3
 
4.5%
강민 2
 
3.0%
박찬규 2
 
3.0%
윤종웅 2
 
3.0%
박성직 2
 
3.0%
장홍희 2
 
3.0%
Other values (23) 26
38.8%

논문명
Text

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T20:45:17.068334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length281
Median length125
Mean length114.46269
Min length31

Characters and Unicode

Total characters7669
Distinct characters184
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)89.6%

Sample

1st rowField porcine reproductive and respiratory syndrome viruses (PRRSV) attenuated by codon pair deoptimization (CPD) in NSP1 protected pigs from heterologous challenge
2nd rowGamma aminobutiric acid increases erythropoietin by activation of citrate cycle and stimulation of hypoxia inducible factors expression in rats
3rd rowGamma Aminobutyric Acid Increases Absorption of Glycine-Bound Iron in Mice with Iron Deficiency Anemia
4th rowSLA-1 Genetic Diversity in Pigs: Extensive Analysis of Copy Number Variation, Heterozygosity, Expression, and Breed Specifcity
5th rowOpossum Cathelicidins Exhibit Antimicrobial Activity Against a Broad Spectrum of Pathogens Including West Nile Virus
ValueCountFrequency (%)
of 64
 
6.2%
in 40
 
3.9%
and 27
 
2.6%
the 21
 
2.0%
from 18
 
1.7%
virus 16
 
1.6%
salmonella 14
 
1.4%
korea 11
 
1.1%
influenza 10
 
1.0%
avian 9
 
0.9%
Other values (505) 799
77.6%
2023-12-12T20:45:17.666601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
962
 
12.5%
e 644
 
8.4%
i 633
 
8.3%
a 538
 
7.0%
n 495
 
6.5%
o 452
 
5.9%
t 419
 
5.5%
r 390
 
5.1%
s 368
 
4.8%
c 321
 
4.2%
Other values (174) 2447
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6009
78.4%
Space Separator 962
 
12.5%
Uppercase Letter 347
 
4.5%
Other Letter 226
 
2.9%
Dash Punctuation 42
 
0.5%
Decimal Number 38
 
0.5%
Other Punctuation 18
 
0.2%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Math Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 8
 
3.5%
장 5
 
2.2%
의 5
 
2.2%
사 5
 
2.2%
가 5
 
2.2%
용 5
 
2.2%
이 5
 
2.2%
제 5
 
2.2%
를 4
 
1.8%
성 4
 
1.8%
Other values (105) 175
77.4%
Lowercase Letter
ValueCountFrequency (%)
e 644
10.7%
i 633
10.5%
a 538
 
9.0%
n 495
 
8.2%
o 452
 
7.5%
t 419
 
7.0%
r 390
 
6.5%
s 368
 
6.1%
c 321
 
5.3%
l 317
 
5.3%
Other values (17) 1432
23.8%
Uppercase Letter
ValueCountFrequency (%)
S 40
11.5%
A 37
 
10.7%
P 28
 
8.1%
R 26
 
7.5%
I 23
 
6.6%
E 23
 
6.6%
H 20
 
5.8%
C 18
 
5.2%
V 17
 
4.9%
T 17
 
4.9%
Other values (11) 98
28.2%
Decimal Number
ValueCountFrequency (%)
1 13
34.2%
2 7
18.4%
6 4
 
10.5%
8 3
 
7.9%
5 3
 
7.9%
7 2
 
5.3%
9 2
 
5.3%
4 2
 
5.3%
0 1
 
2.6%
3 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 11
61.1%
. 3
 
16.7%
/ 2
 
11.1%
: 2
 
11.1%
Math Symbol
ValueCountFrequency (%)
> 4
50.0%
< 4
50.0%
Space Separator
ValueCountFrequency (%)
962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6355
82.9%
Common 1087
 
14.2%
Hangul 226
 
2.9%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 8
 
3.5%
장 5
 
2.2%
의 5
 
2.2%
사 5
 
2.2%
가 5
 
2.2%
용 5
 
2.2%
이 5
 
2.2%
제 5
 
2.2%
를 4
 
1.8%
성 4
 
1.8%
Other values (105) 175
77.4%
Latin
ValueCountFrequency (%)
e 644
 
10.1%
i 633
 
10.0%
a 538
 
8.5%
n 495
 
7.8%
o 452
 
7.1%
t 419
 
6.6%
r 390
 
6.1%
s 368
 
5.8%
c 321
 
5.1%
l 317
 
5.0%
Other values (37) 1778
28.0%
Common
ValueCountFrequency (%)
962
88.5%
- 42
 
3.9%
1 13
 
1.2%
, 11
 
1.0%
( 9
 
0.8%
) 9
 
0.8%
2 7
 
0.6%
> 4
 
0.4%
6 4
 
0.4%
< 4
 
0.4%
Other values (11) 22
 
2.0%
Greek
ValueCountFrequency (%)
λ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7441
97.0%
Hangul 226
 
2.9%
None 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
962
12.9%
e 644
 
8.7%
i 633
 
8.5%
a 538
 
7.2%
n 495
 
6.7%
o 452
 
6.1%
t 419
 
5.6%
r 390
 
5.2%
s 368
 
4.9%
c 321
 
4.3%
Other values (57) 2219
29.8%
Hangul
ValueCountFrequency (%)
한 8
 
3.5%
장 5
 
2.2%
의 5
 
2.2%
사 5
 
2.2%
가 5
 
2.2%
용 5
 
2.2%
이 5
 
2.2%
제 5
 
2.2%
를 4
 
1.8%
성 4
 
1.8%
Other values (105) 175
77.4%
None
ValueCountFrequency (%)
λ 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

학술지게재일
Date

Distinct52
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2020-01-01 00:00:00
Maximum2020-12-30 00:00:00
2023-12-12T20:45:17.858565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:45:18.039526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T20:45:18.472942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length289
Median length180
Mean length92.537313
Min length25

Characters and Unicode

Total characters6200
Distinct characters177
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)94.0%

Sample

1st row주저자 : 박창훈, 교신(책임)저자 : 차상호
2nd row주저자 : Keun-Tae Park, 공저자 : Jong-Kwon Han, 공저자 : Seong Jin Kim, 교신(책임)저자 : Young-Hee Lim
3rd row주저자 : Park keun tae, 공저자 : Ko hyunsoo, 공저자 : Sim insuk, 교신(책임)저자 : Lim young-hee
4th row주저자 : Minh Thong Le, 공저자 : Byeongyong Ahn, 공저자 : Chak-Sum Ho, 공저자 : Hojun Choi, 공저자 : Hyejeong Lee, 공저자 : Hyuk Song, 공저자 : Jin-Hoi Kim, 공저자 : Kwonho Hong, 공저자 : Van ChanhQuy Le, 교신(책임)저자 : Chankyu Park
5th row주저자 : 염주리, 주저자 : 조혜선, 공저자 : Andy Larivire, 공저자 : Charles Bodet, 공저자 : Nicolas Lvque, 공저자 : 김진회, 공저자 : 나가순다라 라판디안, 공저자 : 레반찬 퀴, 공저자 : 안병용, 공저자 : 전효임, 공저자 : 홍권호, 교신(책임)저자 : 박찬규
ValueCountFrequency (%)
368
27.2%
공저자 213
15.8%
주저자 78
 
5.8%
교신(책임)저자 72
 
5.3%
kim 31
 
2.3%
park 23
 
1.7%
lee 21
 
1.6%
이영주 9
 
0.7%
min 8
 
0.6%
서광원 7
 
0.5%
Other values (320) 521
38.6%
2023-12-12T20:45:19.162144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1285
20.7%
자 364
 
5.9%
: 363
 
5.9%
저 363
 
5.9%
, 298
 
4.8%
n 265
 
4.3%
공 213
 
3.4%
o 192
 
3.1%
a 189
 
3.0%
e 180
 
2.9%
Other values (167) 2488
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1776
28.6%
Lowercase Letter 1726
27.8%
Space Separator 1285
20.7%
Other Punctuation 674
 
10.9%
Uppercase Letter 536
 
8.6%
Close Punctuation 72
 
1.2%
Open Punctuation 72
 
1.2%
Dash Punctuation 59
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 364
20.5%
저 363
20.4%
공 213
12.0%
주 92
 
5.2%
신 78
 
4.4%
임 74
 
4.2%
책 72
 
4.1%
교 72
 
4.1%
이 24
 
1.4%
영 23
 
1.3%
Other values (113) 401
22.6%
Uppercase Letter
ValueCountFrequency (%)
K 77
14.4%
S 76
14.2%
H 56
10.4%
J 38
 
7.1%
C 36
 
6.7%
L 32
 
6.0%
P 31
 
5.8%
Y 26
 
4.9%
M 25
 
4.7%
W 20
 
3.7%
Other values (14) 119
22.2%
Lowercase Letter
ValueCountFrequency (%)
n 265
15.4%
o 192
11.1%
a 189
11.0%
e 180
10.4%
i 148
8.6%
u 136
7.9%
g 114
6.6%
h 96
 
5.6%
m 79
 
4.6%
y 73
 
4.2%
Other values (13) 254
14.7%
Other Punctuation
ValueCountFrequency (%)
: 363
53.9%
, 298
44.2%
. 13
 
1.9%
Space Separator
ValueCountFrequency (%)
1285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2262
36.5%
Common 2162
34.9%
Hangul 1776
28.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 364
20.5%
저 363
20.4%
공 213
12.0%
주 92
 
5.2%
신 78
 
4.4%
임 74
 
4.2%
책 72
 
4.1%
교 72
 
4.1%
이 24
 
1.4%
영 23
 
1.3%
Other values (113) 401
22.6%
Latin
ValueCountFrequency (%)
n 265
 
11.7%
o 192
 
8.5%
a 189
 
8.4%
e 180
 
8.0%
i 148
 
6.5%
u 136
 
6.0%
g 114
 
5.0%
h 96
 
4.2%
m 79
 
3.5%
K 77
 
3.4%
Other values (37) 786
34.7%
Common
ValueCountFrequency (%)
1285
59.4%
: 363
 
16.8%
, 298
 
13.8%
) 72
 
3.3%
( 72
 
3.3%
- 59
 
2.7%
. 13
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4424
71.4%
Hangul 1776
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1285
29.0%
: 363
 
8.2%
, 298
 
6.7%
n 265
 
6.0%
o 192
 
4.3%
a 189
 
4.3%
e 180
 
4.1%
i 148
 
3.3%
u 136
 
3.1%
g 114
 
2.6%
Other values (44) 1254
28.3%
Hangul
ValueCountFrequency (%)
자 364
20.5%
저 363
20.4%
공 213
12.0%
주 92
 
5.2%
신 78
 
4.4%
임 74
 
4.2%
책 72
 
4.1%
교 72
 
4.1%
이 24
 
1.4%
영 23
 
1.3%
Other values (113) 401
22.6%

학술지명
Text

Distinct52
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T20:45:19.476873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length22
Min length5

Characters and Unicode

Total characters1474
Distinct characters81
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)62.7%

Sample

1st rowVirology
2nd rowbiomolecule
3rd rowBiological Trace Element Research
4th rowScientific Reports
5th rowFrontiers in immunology
ValueCountFrequency (%)
journal 17
 
8.8%
of 17
 
8.8%
veterinary 16
 
8.3%
science 10
 
5.2%
research 9
 
4.7%
and 8
 
4.1%
7
 
3.6%
poultry 6
 
3.1%
korean 6
 
3.1%
microbiology 5
 
2.6%
Other values (62) 92
47.7%
2023-12-12T20:45:19.949017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 142
 
9.6%
126
 
8.5%
o 113
 
7.7%
r 105
 
7.1%
n 98
 
6.6%
i 94
 
6.4%
a 82
 
5.6%
c 68
 
4.6%
l 60
 
4.1%
t 53
 
3.6%
Other values (71) 533
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1054
71.5%
Uppercase Letter 185
 
12.6%
Space Separator 126
 
8.5%
Other Letter 101
 
6.9%
Math Symbol 5
 
0.3%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 11
 
10.9%
지 10
 
9.9%
회 9
 
8.9%
수 7
 
6.9%
한 7
 
6.9%
의 6
 
5.9%
국 4
 
4.0%
가 3
 
3.0%
생 3
 
3.0%
예 3
 
3.0%
Other values (21) 38
37.6%
Lowercase Letter
ValueCountFrequency (%)
e 142
13.5%
o 113
10.7%
r 105
10.0%
n 98
9.3%
i 94
8.9%
a 82
7.8%
c 68
 
6.5%
l 60
 
5.7%
t 53
 
5.0%
s 36
 
3.4%
Other values (13) 203
19.3%
Uppercase Letter
ValueCountFrequency (%)
S 21
 
11.4%
P 16
 
8.6%
R 14
 
7.6%
V 13
 
7.0%
E 13
 
7.0%
J 12
 
6.5%
T 12
 
6.5%
A 11
 
5.9%
N 9
 
4.9%
O 8
 
4.3%
Other values (12) 56
30.3%
Space Separator
ValueCountFrequency (%)
126
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1239
84.1%
Common 134
 
9.1%
Hangul 83
 
5.6%
Han 18
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 142
 
11.5%
o 113
 
9.1%
r 105
 
8.5%
n 98
 
7.9%
i 94
 
7.6%
a 82
 
6.6%
c 68
 
5.5%
l 60
 
4.8%
t 53
 
4.3%
s 36
 
2.9%
Other values (35) 388
31.3%
Hangul
ValueCountFrequency (%)
학 11
13.3%
지 10
12.0%
회 9
10.8%
수 7
 
8.4%
한 7
 
8.4%
의 6
 
7.2%
국 4
 
4.8%
가 3
 
3.6%
생 3
 
3.6%
예 3
 
3.6%
Other values (12) 20
24.1%
Han
ValueCountFrequency (%)
韓 2
11.1%
衛 2
11.1%
誌 2
11.1%
會 2
11.1%
學 2
11.1%
生 2
11.1%
畜 2
11.1%
家 2
11.1%
國 2
11.1%
Common
ValueCountFrequency (%)
126
94.0%
= 5
 
3.7%
- 1
 
0.7%
& 1
 
0.7%
( 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1373
93.1%
Hangul 83
 
5.6%
CJK 18
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 142
 
10.3%
126
 
9.2%
o 113
 
8.2%
r 105
 
7.6%
n 98
 
7.1%
i 94
 
6.8%
a 82
 
6.0%
c 68
 
5.0%
l 60
 
4.4%
t 53
 
3.9%
Other values (40) 432
31.5%
Hangul
ValueCountFrequency (%)
학 11
13.3%
지 10
12.0%
회 9
10.8%
수 7
 
8.4%
한 7
 
8.4%
의 6
 
7.2%
국 4
 
4.8%
가 3
 
3.6%
생 3
 
3.6%
예 3
 
3.6%
Other values (12) 20
24.1%
CJK
ValueCountFrequency (%)
韓 2
11.1%
衛 2
11.1%
誌 2
11.1%
會 2
11.1%
學 2
11.1%
生 2
11.1%
畜 2
11.1%
家 2
11.1%
國 2
11.1%

Interactions

2023-12-12T20:45:13.698778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:45:20.073828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자논문명학술지게재일저자학술지명
번호1.0000.9710.9710.9630.8730.8831.0000.810
과제번호0.9711.0001.0001.0000.9740.9190.9870.977
과제명0.9711.0001.0001.0000.9740.9190.9870.977
연구책임자0.9631.0001.0001.0000.9700.9110.9860.976
논문명0.8730.9740.9740.9701.0000.9980.9970.994
학술지게재일0.8830.9190.9190.9110.9981.0000.9980.988
저자1.0000.9870.9870.9860.9970.9981.0000.998
학술지명0.8100.9770.9770.9760.9940.9880.9981.000
2023-12-12T20:45:20.194180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연구책임자
번호1.0000.604
연구책임자0.6041.000

Missing values

2023-12-12T20:45:13.896607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:45:14.044519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
01수의116074-3SAVE 기술을 이용한 PRRSV 생독백신의 안전성/면역원성 최적화 및 산업화박창훈Field porcine reproductive and respiratory syndrome viruses (PRRSV) attenuated by codon pair deoptimization (CPD) in NSP1 protected pigs from heterologous challenge2020-01-15주저자 : 박창훈, 교신(책임)저자 : 차상호Virology
12수의116084-3GABA(-aminobutyric acid) 기반의 경구용 자돈 빈혈예방 제품 개발한종권Gamma aminobutiric acid increases erythropoietin by activation of citrate cycle and stimulation of hypoxia inducible factors expression in rats2020-04-16주저자 : Keun-Tae Park, 공저자 : Jong-Kwon Han, 공저자 : Seong Jin Kim, 교신(책임)저자 : Young-Hee Limbiomolecule
23수의116084-3GABA(-aminobutyric acid) 기반의 경구용 자돈 빈혈예방 제품 개발한종권Gamma Aminobutyric Acid Increases Absorption of Glycine-Bound Iron in Mice with Iron Deficiency Anemia2020-01-01주저자 : Park keun tae, 공저자 : Ko hyunsoo, 공저자 : Sim insuk, 교신(책임)저자 : Lim young-heeBiological Trace Element Research
34수의116134-3항균 및 세균독소 펩타이드 고효율 생산기술의 적용을 통한 항생제 대체 치료제 및 고효율 백신생산 기술의 개발박찬규SLA-1 Genetic Diversity in Pigs: Extensive Analysis of Copy Number Variation, Heterozygosity, Expression, and Breed Specifcity2020-01-20주저자 : Minh Thong Le, 공저자 : Byeongyong Ahn, 공저자 : Chak-Sum Ho, 공저자 : Hojun Choi, 공저자 : Hyejeong Lee, 공저자 : Hyuk Song, 공저자 : Jin-Hoi Kim, 공저자 : Kwonho Hong, 공저자 : Van ChanhQuy Le, 교신(책임)저자 : Chankyu ParkScientific Reports
45수의116134-3항균 및 세균독소 펩타이드 고효율 생산기술의 적용을 통한 항생제 대체 치료제 및 고효율 백신생산 기술의 개발박찬규Opossum Cathelicidins Exhibit Antimicrobial Activity Against a Broad Spectrum of Pathogens Including West Nile Virus2020-03-03주저자 : 염주리, 주저자 : 조혜선, 공저자 : Andy Larivire, 공저자 : Charles Bodet, 공저자 : Nicolas Lvque, 공저자 : 김진회, 공저자 : 나가순다라 라판디안, 공저자 : 레반찬 퀴, 공저자 : 안병용, 공저자 : 전효임, 공저자 : 홍권호, 교신(책임)저자 : 박찬규Frontiers in immunology
56수의118061-3소규모 가금농가에서 야생조류 침입 억제장치를 이용한 야생조류 침입억제율 평가엄재구국내 가금 농장에서 야생조류 침입 억제 장치를 이용한 야생조류 출현율 조사 및 평가2020-10-01주저자 : 김용식, 공저자 : 김윤지, 공저자 : 나은지, 공저자 : 이숙영, 교신(책임)저자 : 엄재구韓國家畜衛生學會誌 = Korean journal of veterinary service
67수의118091-3국내 구제역 백신 상황에서의 나노자임을 활용한 민감도 향상 구제역 바이러스 간이 항원 진단키트 및 구조단백질 항체 진단 ELISA 키트 개발조호성Self color-changing ordered mesoporous ceria for reagent-free colorimetric biosensing2020-01-01주저자 : Min Su Kim, 공저자 : Do Hyun Kim, 공저자 : Hee Tae Ahn, 공저자 : Junsang Lee, 공저자 : Moon Il Kim, 교신(책임)저자 : Jinwoo LeeNanoscale
78수의118092-3오리의 고병원조류인플루엔자 병원성, 전파력 및 제어기술 연구서상희Age-Dependent Lethality in Ducks Caused by Highly Pathogenic H5N6 Avian Influenza Virus2020-05-29주저자 : Yunyueng Jang, 교신(책임)저자 : Sang Heui Seoviruses
89수의118093-3차량용 친환경 세척/소독 일괄 시스템 개발 및 소독 시스템의 소독효과 평가법 개발김원일PRRS 양성농장의 사육단계별 구강액과 혈액을 이용한 PRRSV와 항체 검출 비교2020-09-14주저자 : 김정희, 공저자 : 손재국, 교신(책임)저자 : 김원일韓國家畜衛生學會誌 = Korean journal of veterinary service
910수의118093-3차량용 친환경 세척/소독 일괄 시스템 개발 및 소독 시스템의 소독효과 평가법 개발김원일국내 도축장 출입 차량의 소독절차와 소독효율의 상관성 평가2020-09-01주저자 : 김환주, 공저자 : 김승채, 공저자 : 이심인, 공저자 : 정창기, 교신(책임)저자 : 김원일한국가축위생학술지
번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
5758수의716002-7방제기술 체계화 및 전문가양성 프로그램 개발장형관Molecular characteristics of antimicrobial resistance determinants and integrons in Salmonella isolated from chicken meat in Korea2020-05-30주저자 : 신민석, 공저자 : 김영빈, 공저자 : 노은비, 공저자 : 서광원, 공저자 : 윤승현, 교신(책임)저자 : 이영주Journal of Applied Poultry Research
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6566수의918020-4소 요네병원인체, Mycobacterium avium subsp. paratuberculosis, 신규병원성인자 규명 및 조절기법이용 새로운 방제 기법 개발유한상Induction of Th2 response through TLR2-mediated MyD88-dependent pathway in human microfold cells stimulated with chitosan nanoparticles loaded with Brucella abortus Mdh2020-02-04주저자 : Soojin Shim, 공저자 : Hyun-Eui Park, 공저자 : Sang Hee Soh, 공저자 : Young Bin Im, 교신(책임)저자 : Han Sang YooMicrobial Pathogenesis
6667수의918020-4소 요네병원인체, Mycobacterium avium subsp. paratuberculosis, 신규병원성인자 규명 및 조절기법이용 새로운 방제 기법 개발유한상Comparative analysis of serological tests and fecal detection in the diagnosis of Mycobacterium avium subspecies paratuberculosis infection2020-09-30주저자 : Hong-Tae Park, 공저자 : Hyun-Eui Park, 공저자 : Seungmin Ha, 공저자 : Soojin Shim, 공저자 : Tai Young Hur, 교신(책임)저자 : Han Sang YooKorean Journal of Veterinary Research