Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory75.9 B

Variable types

Numeric1
Categorical2
Text5
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 축산 R&D 논문정보 공개 농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075475/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 04:53:56.178823
Analysis finished2023-12-12 04:53:57.324112
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T13:53:57.410998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T13:53:57.577398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
축산
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산 46
100.0%

Length

2023-12-12T13:53:57.757889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:53:57.883067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산 46
100.0%

과제번호
Text

Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T13:53:58.091858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters368
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

Unique9 ?
Unique (%)19.6%

Sample

1st row116172-3
2nd row117030-3
3rd row117042-3
4th row117042-3
5th row117042-3
ValueCountFrequency (%)
318022-4 4
 
8.7%
318016-5 4
 
8.7%
117042-3 3
 
6.5%
118051-3 3
 
6.5%
817025-3 3
 
6.5%
312060-5 3
 
6.5%
617077-5 3
 
6.5%
918002-4 2
 
4.3%
316037-4 2
 
4.3%
317021-3 2
 
4.3%
Other values (13) 17
37.0%
2023-12-12T13:53:58.514901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 76
20.7%
0 55
14.9%
3 48
13.0%
- 46
12.5%
2 30
 
8.2%
8 26
 
7.1%
5 25
 
6.8%
7 24
 
6.5%
4 16
 
4.3%
6 16
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 322
87.5%
Dash Punctuation 46
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 76
23.6%
0 55
17.1%
3 48
14.9%
2 30
 
9.3%
8 26
 
8.1%
5 25
 
7.8%
7 24
 
7.5%
4 16
 
5.0%
6 16
 
5.0%
9 6
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 76
20.7%
0 55
14.9%
3 48
13.0%
- 46
12.5%
2 30
 
8.2%
8 26
 
7.1%
5 25
 
6.8%
7 24
 
6.5%
4 16
 
4.3%
6 16
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 76
20.7%
0 55
14.9%
3 48
13.0%
- 46
12.5%
2 30
 
8.2%
8 26
 
7.1%
5 25
 
6.8%
7 24
 
6.5%
4 16
 
4.3%
6 16
 
4.3%

과제명
Text

Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T13:53:58.828834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length45.5
Mean length35.108696
Min length8

Characters and Unicode

Total characters1615
Distinct characters195
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)19.6%

Sample

1st row돼지에서 정자 전사체 마커를 활용한 산자수 향상 기술 개발
2nd row유단백질 고함유 우유생산을 위한 젖소에서의 필수아미노산의 이용성 증진연구
3rd row정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산
4th row정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산
5th row정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산
ValueCountFrequency (%)
개발 29
 
7.6%
및 22
 
5.7%
활용한 11
 
2.9%
이용한 7
 
1.8%
기능성 7
 
1.8%
생산 6
 
1.6%
정원줄기세포 6
 
1.6%
생산기술 5
 
1.3%
축산물의 5
 
1.3%
동물복지 5
 
1.3%
Other values (145) 280
73.1%
2023-12-12T13:53:59.341295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
 
20.9%
용 38
 
2.4%
발 32
 
2.0%
개 32
 
2.0%
기 32
 
2.0%
물 32
 
2.0%
질 32
 
2.0%
한 31
 
1.9%
산 28
 
1.7%
제 28
 
1.7%
Other values (185) 993
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1249
77.3%
Space Separator 337
 
20.9%
Uppercase Letter 13
 
0.8%
Other Punctuation 8
 
0.5%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 38
 
3.0%
발 32
 
2.6%
개 32
 
2.6%
기 32
 
2.6%
물 32
 
2.6%
질 32
 
2.6%
한 31
 
2.5%
산 28
 
2.2%
제 28
 
2.2%
생 27
 
2.2%
Other values (172) 937
75.0%
Uppercase Letter
ValueCountFrequency (%)
I 5
38.5%
A 3
23.1%
T 2
 
15.4%
C 1
 
7.7%
L 1
 
7.7%
R 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 6
75.0%
· 2
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1249
77.3%
Common 351
 
21.7%
Latin 15
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 38
 
3.0%
발 32
 
2.6%
개 32
 
2.6%
기 32
 
2.6%
물 32
 
2.6%
질 32
 
2.6%
한 31
 
2.5%
산 28
 
2.2%
제 28
 
2.2%
생 27
 
2.2%
Other values (172) 937
75.0%
Latin
ValueCountFrequency (%)
I 5
33.3%
A 3
20.0%
T 2
 
13.3%
C 1
 
6.7%
L 1
 
6.7%
o 1
 
6.7%
R 1
 
6.7%
a 1
 
6.7%
Common
ValueCountFrequency (%)
337
96.0%
/ 6
 
1.7%
( 3
 
0.9%
) 3
 
0.9%
· 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1249
77.3%
ASCII 364
 
22.5%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
92.6%
/ 6
 
1.6%
I 5
 
1.4%
A 3
 
0.8%
( 3
 
0.8%
) 3
 
0.8%
T 2
 
0.5%
C 1
 
0.3%
L 1
 
0.3%
o 1
 
0.3%
Other values (2) 2
 
0.5%
Hangul
ValueCountFrequency (%)
용 38
 
3.0%
발 32
 
2.6%
개 32
 
2.6%
기 32
 
2.6%
물 32
 
2.6%
질 32
 
2.6%
한 31
 
2.5%
산 28
 
2.2%
제 28
 
2.2%
생 27
 
2.2%
Other values (172) 937
75.0%
None
ValueCountFrequency (%)
· 2
100.0%

연구책임자
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
정영철
4 
현상환
4 
이승태
3 
백명기
3 
김수기
3 
Other values (17)
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique8 ?
Unique (%)17.4%

Sample

1st row방명걸
2nd row문준옥
3rd row이승태
4th row이승태
5th row이승태

Common Values

ValueCountFrequency (%)
정영철 4
 
8.7%
현상환 4
 
8.7%
이승태 3
 
6.5%
백명기 3
 
6.5%
김수기 3
 
6.5%
임정묵 3
 
6.5%
조경훈 3
 
6.5%
조용훈 3
 
6.5%
이정규 2
 
4.3%
강만종 2
 
4.3%
Other values (12) 16
34.8%

Length

2023-12-12T13:53:59.503360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정영철 4
 
8.7%
현상환 4
 
8.7%
이승태 3
 
6.5%
백명기 3
 
6.5%
김수기 3
 
6.5%
임정묵 3
 
6.5%
조경훈 3
 
6.5%
조용훈 3
 
6.5%
조우재 2
 
4.3%
한귀환 2
 
4.3%
Other values (12) 16
34.8%

논문명
Text

Distinct41
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T13:53:59.805137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length215
Median length132
Mean length118.3913
Min length26

Characters and Unicode

Total characters5446
Distinct characters100
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)80.4%

Sample

1st rowNT 5C1B and FH are closely associated with cryoprotectant tolerance in spermatozoa
2nd rowPhenylalanine and valine differentially stimulate milk protein synthetic and energy-mediated pathway in immortalized bovine mammary epithelial cells
3rd rowGeneration of embryonic stem cells derived from the inner cell mass of blastocysts of outbred ICR mice
4th rowGeneration of embryonic stem cells derived from the inner cell mass of blastocysts of outbred ICR mice
5th rowEffects of in vitro Culture Period of Reconstructed Embryos and Genetic Background of Feeder Cells on Establishment of Embryonic Stem Cells Derived from Somatic Cell Nuclear Transfer Blastocysts in Pigs
ValueCountFrequency (%)
of 55
 
7.4%
and 35
 
4.7%
in 21
 
2.8%
the 13
 
1.8%
cells 12
 
1.6%
from 12
 
1.6%
on 11
 
1.5%
effects 9
 
1.2%
cell 8
 
1.1%
by 7
 
0.9%
Other values (395) 559
75.3%
2023-12-12T13:54:00.327296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
696
12.8%
e 482
 
8.9%
i 385
 
7.1%
a 377
 
6.9%
t 375
 
6.9%
o 371
 
6.8%
n 362
 
6.6%
r 286
 
5.3%
s 260
 
4.8%
l 225
 
4.1%
Other values (90) 1627
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4363
80.1%
Space Separator 696
 
12.8%
Uppercase Letter 271
 
5.0%
Other Letter 40
 
0.7%
Dash Punctuation 26
 
0.5%
Decimal Number 21
 
0.4%
Other Punctuation 17
 
0.3%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 3
 
7.5%
의 2
 
5.0%
생 2
 
5.0%
장 2
 
5.0%
밀 1
 
2.5%
거 1
 
2.5%
저 1
 
2.5%
리 1
 
2.5%
유 1
 
2.5%
충 1
 
2.5%
Other values (25) 25
62.5%
Lowercase Letter
ValueCountFrequency (%)
e 482
11.0%
i 385
 
8.8%
a 377
 
8.6%
t 375
 
8.6%
o 371
 
8.5%
n 362
 
8.3%
r 286
 
6.6%
s 260
 
6.0%
l 225
 
5.2%
c 207
 
4.7%
Other values (18) 1033
23.7%
Uppercase Letter
ValueCountFrequency (%)
C 41
15.1%
E 25
 
9.2%
S 21
 
7.7%
A 20
 
7.4%
B 19
 
7.0%
T 16
 
5.9%
P 15
 
5.5%
I 14
 
5.2%
F 14
 
5.2%
M 12
 
4.4%
Other values (11) 74
27.3%
Decimal Number
ValueCountFrequency (%)
1 6
28.6%
3 3
14.3%
7 2
 
9.5%
2 2
 
9.5%
5 2
 
9.5%
6 2
 
9.5%
8 2
 
9.5%
0 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
, 9
52.9%
. 5
29.4%
/ 2
 
11.8%
: 1
 
5.9%
Space Separator
ValueCountFrequency (%)
696
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4632
85.1%
Common 772
 
14.2%
Hangul 40
 
0.7%
Greek 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 482
 
10.4%
i 385
 
8.3%
a 377
 
8.1%
t 375
 
8.1%
o 371
 
8.0%
n 362
 
7.8%
r 286
 
6.2%
s 260
 
5.6%
l 225
 
4.9%
c 207
 
4.5%
Other values (37) 1302
28.1%
Hangul
ValueCountFrequency (%)
물 3
 
7.5%
의 2
 
5.0%
생 2
 
5.0%
장 2
 
5.0%
밀 1
 
2.5%
거 1
 
2.5%
저 1
 
2.5%
리 1
 
2.5%
유 1
 
2.5%
충 1
 
2.5%
Other values (25) 25
62.5%
Common
ValueCountFrequency (%)
696
90.2%
- 26
 
3.4%
, 9
 
1.2%
) 6
 
0.8%
( 6
 
0.8%
1 6
 
0.8%
. 5
 
0.6%
3 3
 
0.4%
7 2
 
0.3%
2 2
 
0.3%
Other values (6) 11
 
1.4%
Greek
ValueCountFrequency (%)
β 1
50.0%
α 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5404
99.2%
Hangul 40
 
0.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
696
12.9%
e 482
 
8.9%
i 385
 
7.1%
a 377
 
7.0%
t 375
 
6.9%
o 371
 
6.9%
n 362
 
6.7%
r 286
 
5.3%
s 260
 
4.8%
l 225
 
4.2%
Other values (53) 1585
29.3%
Hangul
ValueCountFrequency (%)
물 3
 
7.5%
의 2
 
5.0%
생 2
 
5.0%
장 2
 
5.0%
밀 1
 
2.5%
거 1
 
2.5%
저 1
 
2.5%
리 1
 
2.5%
유 1
 
2.5%
충 1
 
2.5%
Other values (25) 25
62.5%
None
ValueCountFrequency (%)
β 1
50.0%
α 1
50.0%

학술지게재일
Date

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2020-01-01 00:00:00
Maximum2020-11-30 00:00:00
2023-12-12T13:54:00.454935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:54:00.574727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

저자
Text

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T13:54:00.939588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length239
Median length126
Mean length103.65217
Min length20

Characters and Unicode

Total characters4768
Distinct characters163
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

Unique39 ?
Unique (%)84.8%

Sample

1st row주저자 : 송원희, 공저자 : Md Saidur Rahman, 공저자 : 방원기, 공저자 : 유도열, 공저자 : 윤성재, 교신(책임)저자 : 방명걸
2nd row주저자 : Jungeun Kim, 공저자 : Jae-Sung Lee, 공저자 : Jeong-Eun Lee, 공저자 : Jin-Seung Park, 공저자 : Jun-Ok Moon, 교신(책임)저자 : Hong-Gu Lee
3rd row주저자 : 한나래, 공저자 : 김화영, 공저자 : 박춘근, 공저자 : 백송, 공저자 : 윤정임, 공저자 : 이권영, 공저자 : 이은송, 공저자 : 최정훈, 교신(책임)저자 : 이승태
4th row주저자 : 한나래, 공저자 : 김화영, 공저자 : 박춘근, 공저자 : 백송, 공저자 : 윤정임, 공저자 : 이권영, 공저자 : 이은송, 공저자 : 최정훈, 교신(책임)저자 : 이승태
5th row주저자 : 한나래, 공저자 : 백송, 공저자 : 윤정임, 공저자 : 이용진, 공저자 : 이은송, 공저자 : 이주형, 교신(책임)저자 : 이승태
ValueCountFrequency (%)
280
26.3%
공저자 178
16.7%
주저자 53
 
5.0%
교신(책임)저자 49
 
4.6%
kim 23
 
2.2%
lee 14
 
1.3%
park 12
 
1.1%
hwang 9
 
0.8%
hyun 7
 
0.7%
yeon 7
 
0.7%
Other values (284) 431
40.5%
2023-12-12T13:54:01.854382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1018
21.4%
저 280
 
5.9%
자 280
 
5.9%
: 280
 
5.9%
, 246
 
5.2%
n 207
 
4.3%
공 178
 
3.7%
o 156
 
3.3%
a 150
 
3.1%
g 105
 
2.2%
Other values (153) 1868
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1378
28.9%
Lowercase Letter 1225
25.7%
Space Separator 1018
21.4%
Other Punctuation 535
 
11.2%
Uppercase Letter 460
 
9.6%
Dash Punctuation 54
 
1.1%
Close Punctuation 49
 
1.0%
Open Punctuation 49
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
저 280
20.3%
자 280
20.3%
공 178
12.9%
주 58
 
4.2%
임 56
 
4.1%
신 51
 
3.7%
책 49
 
3.6%
교 49
 
3.6%
이 26
 
1.9%
김 21
 
1.5%
Other values (99) 330
23.9%
Lowercase Letter
ValueCountFrequency (%)
n 207
16.9%
o 156
12.7%
a 150
12.2%
g 105
8.6%
u 104
8.5%
e 104
8.5%
i 103
8.4%
y 46
 
3.8%
m 44
 
3.6%
h 42
 
3.4%
Other values (14) 164
13.4%
Uppercase Letter
ValueCountFrequency (%)
H 61
13.3%
K 60
13.0%
J 59
12.8%
S 47
10.2%
Y 35
 
7.6%
M 27
 
5.9%
L 21
 
4.6%
D 20
 
4.3%
C 16
 
3.5%
P 15
 
3.3%
Other values (13) 99
21.5%
Other Punctuation
ValueCountFrequency (%)
: 280
52.3%
, 246
46.0%
. 9
 
1.7%
Space Separator
ValueCountFrequency (%)
1018
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1705
35.8%
Latin 1685
35.3%
Hangul 1378
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
저 280
20.3%
자 280
20.3%
공 178
12.9%
주 58
 
4.2%
임 56
 
4.1%
신 51
 
3.7%
책 49
 
3.6%
교 49
 
3.6%
이 26
 
1.9%
김 21
 
1.5%
Other values (99) 330
23.9%
Latin
ValueCountFrequency (%)
n 207
 
12.3%
o 156
 
9.3%
a 150
 
8.9%
g 105
 
6.2%
u 104
 
6.2%
e 104
 
6.2%
i 103
 
6.1%
H 61
 
3.6%
K 60
 
3.6%
J 59
 
3.5%
Other values (37) 576
34.2%
Common
ValueCountFrequency (%)
1018
59.7%
: 280
 
16.4%
, 246
 
14.4%
- 54
 
3.2%
) 49
 
2.9%
( 49
 
2.9%
. 9
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3390
71.1%
Hangul 1378
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1018
30.0%
: 280
 
8.3%
, 246
 
7.3%
n 207
 
6.1%
o 156
 
4.6%
a 150
 
4.4%
g 105
 
3.1%
u 104
 
3.1%
e 104
 
3.1%
i 103
 
3.0%
Other values (44) 917
27.1%
Hangul
ValueCountFrequency (%)
저 280
20.3%
자 280
20.3%
공 178
12.9%
주 58
 
4.2%
임 56
 
4.1%
신 51
 
3.7%
책 49
 
3.6%
교 49
 
3.6%
이 26
 
1.9%
김 21
 
1.5%
Other values (99) 330
23.9%

학술지명
Text

Distinct39
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T13:54:02.243403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length32
Mean length25.782609
Min length4

Characters and Unicode

Total characters1186
Distinct characters78
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)73.9%

Sample

1st rowAndrology
2nd rowJournal of animal science and technology : JAST
3rd rowANIMAL CELLS AND SYSTEMS
4th rowANIMAL CELLS AND SYSTEMS
5th rowJournal of animal reproduction and biotechnology = 한국동물생명공학회지
ValueCountFrequency (%)
animal 14
 
8.5%
science 13
 
7.9%
and 13
 
7.9%
of 10
 
6.1%
9
 
5.5%
journal 8
 
4.8%
food 4
 
2.4%
research 4
 
2.4%
j 3
 
1.8%
technology 3
 
1.8%
Other values (61) 84
50.9%
2023-12-12T13:54:02.838899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
10.0%
o 92
 
7.8%
e 91
 
7.7%
n 88
 
7.4%
i 76
 
6.4%
a 66
 
5.6%
c 64
 
5.4%
l 51
 
4.3%
s 46
 
3.9%
t 43
 
3.6%
Other values (68) 450
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 810
68.3%
Uppercase Letter 196
 
16.5%
Space Separator 119
 
10.0%
Other Letter 43
 
3.6%
Other Punctuation 11
 
0.9%
Math Symbol 4
 
0.3%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
 
7.0%
회 3
 
7.0%
학 3
 
7.0%
물 3
 
7.0%
동 3
 
7.0%
국 3
 
7.0%
한 3
 
7.0%
명 2
 
4.7%
공 2
 
4.7%
생 2
 
4.7%
Other values (16) 16
37.2%
Lowercase Letter
ValueCountFrequency (%)
o 92
11.4%
e 91
11.2%
n 88
10.9%
i 76
9.4%
a 66
8.1%
c 64
7.9%
l 51
 
6.3%
s 46
 
5.7%
t 43
 
5.3%
r 41
 
5.1%
Other values (13) 152
18.8%
Uppercase Letter
ValueCountFrequency (%)
A 34
17.3%
S 23
11.7%
L 15
 
7.7%
N 13
 
6.6%
C 13
 
6.6%
J 12
 
6.1%
M 10
 
5.1%
I 10
 
5.1%
E 9
 
4.6%
F 8
 
4.1%
Other values (12) 49
25.0%
Other Punctuation
ValueCountFrequency (%)
. 4
36.4%
& 3
27.3%
# 2
18.2%
: 2
18.2%
Space Separator
ValueCountFrequency (%)
119
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1006
84.8%
Common 137
 
11.6%
Hangul 36
 
3.0%
Han 7
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 92
 
9.1%
e 91
 
9.0%
n 88
 
8.7%
i 76
 
7.6%
a 66
 
6.6%
c 64
 
6.4%
l 51
 
5.1%
s 46
 
4.6%
t 43
 
4.3%
r 41
 
4.1%
Other values (35) 348
34.6%
Hangul
ValueCountFrequency (%)
지 3
 
8.3%
회 3
 
8.3%
학 3
 
8.3%
물 3
 
8.3%
동 3
 
8.3%
국 3
 
8.3%
한 3
 
8.3%
명 2
 
5.6%
공 2
 
5.6%
생 2
 
5.6%
Other values (9) 9
25.0%
Common
ValueCountFrequency (%)
119
86.9%
= 4
 
2.9%
. 4
 
2.9%
& 3
 
2.2%
- 3
 
2.2%
# 2
 
1.5%
: 2
 
1.5%
Han
ValueCountFrequency (%)
會 1
14.3%
學 1
14.3%
産 1
14.3%
畜 1
14.3%
本 1
14.3%
日 1
14.3%
報 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1143
96.4%
Hangul 36
 
3.0%
CJK 7
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
 
10.4%
o 92
 
8.0%
e 91
 
8.0%
n 88
 
7.7%
i 76
 
6.6%
a 66
 
5.8%
c 64
 
5.6%
l 51
 
4.5%
s 46
 
4.0%
t 43
 
3.8%
Other values (42) 407
35.6%
Hangul
ValueCountFrequency (%)
지 3
 
8.3%
회 3
 
8.3%
학 3
 
8.3%
물 3
 
8.3%
동 3
 
8.3%
국 3
 
8.3%
한 3
 
8.3%
명 2
 
5.6%
공 2
 
5.6%
생 2
 
5.6%
Other values (9) 9
25.0%
CJK
ValueCountFrequency (%)
會 1
14.3%
學 1
14.3%
産 1
14.3%
畜 1
14.3%
本 1
14.3%
日 1
14.3%
報 1
14.3%

Interactions

2023-12-12T13:53:56.915541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:54:03.000924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자논문명학술지게재일저자학술지명
번호1.0000.9860.9860.9800.9230.8700.9490.923
과제번호0.9861.0001.0001.0000.9720.8760.9890.984
과제명0.9861.0001.0001.0000.9720.8760.9890.984
연구책임자0.9801.0001.0001.0000.9720.9260.9880.983
논문명0.9230.9720.9720.9721.0001.0001.0001.000
학술지게재일0.8700.8760.8760.9261.0001.0001.0000.993
저자0.9490.9890.9890.9881.0001.0001.0001.000
학술지명0.9230.9840.9840.9831.0000.9931.0001.000
2023-12-12T13:54:03.163774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연구책임자
번호1.0000.729
연구책임자0.7291.000

Missing values

2023-12-12T13:53:57.060573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:53:57.257824image/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
01축산116172-3돼지에서 정자 전사체 마커를 활용한 산자수 향상 기술 개발방명걸NT 5C1B and FH are closely associated with cryoprotectant tolerance in spermatozoa2020-01-01주저자 : 송원희, 공저자 : Md Saidur Rahman, 공저자 : 방원기, 공저자 : 유도열, 공저자 : 윤성재, 교신(책임)저자 : 방명걸Andrology
12축산117030-3유단백질 고함유 우유생산을 위한 젖소에서의 필수아미노산의 이용성 증진연구문준옥Phenylalanine and valine differentially stimulate milk protein synthetic and energy-mediated pathway in immortalized bovine mammary epithelial cells2020-03-31주저자 : Jungeun Kim, 공저자 : Jae-Sung Lee, 공저자 : Jeong-Eun Lee, 공저자 : Jin-Seung Park, 공저자 : Jun-Ok Moon, 교신(책임)저자 : Hong-Gu LeeJournal of animal science and technology : JAST
23축산117042-3정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산이승태Generation of embryonic stem cells derived from the inner cell mass of blastocysts of outbred ICR mice2020-04-16주저자 : 한나래, 공저자 : 김화영, 공저자 : 박춘근, 공저자 : 백송, 공저자 : 윤정임, 공저자 : 이권영, 공저자 : 이은송, 공저자 : 최정훈, 교신(책임)저자 : 이승태ANIMAL CELLS AND SYSTEMS
34축산117042-3정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산이승태Generation of embryonic stem cells derived from the inner cell mass of blastocysts of outbred ICR mice2020-04-16주저자 : 한나래, 공저자 : 김화영, 공저자 : 박춘근, 공저자 : 백송, 공저자 : 윤정임, 공저자 : 이권영, 공저자 : 이은송, 공저자 : 최정훈, 교신(책임)저자 : 이승태ANIMAL CELLS AND SYSTEMS
45축산117042-3정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산이승태Effects of in vitro Culture Period of Reconstructed Embryos and Genetic Background of Feeder Cells on Establishment of Embryonic Stem Cells Derived from Somatic Cell Nuclear Transfer Blastocysts in Pigs2020-03-31주저자 : 한나래, 공저자 : 백송, 공저자 : 윤정임, 공저자 : 이용진, 공저자 : 이은송, 공저자 : 이주형, 교신(책임)저자 : 이승태Journal of animal reproduction and biotechnology = 한국동물생명공학회지
56축산118016-3ICT 기반 젖소 육성우 전문 목장 동물복지 강화 및 환경제어 시스템 개발백명기Effects of dehorning and lidocaine-plus-flunixin treatment on indicators of stress and acute inflammation, behaviors, and their association in Korean cattle bull calves2020-11-01주저자 : 박승주, 공저자 : Dilla Mareistia Fassah, 공저자 : 강혁중, 공저자 : 김명후, 공저자 : 김상엽, 공저자 : 김현진, 공저자 : 나상원, 공저자 : 박민우, 공저자 : 정다진솔, 교신(책임)저자 : 백명기Livestock science
67축산118051-3가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화김수기Optimization of Chinese Chive Juice as a Functional Feed Additive2020-09-06주저자 : Damini Kothari, 주저자 : Kai-Min Niu, 공저자 : Sangbuem Cho, 공저자 : Woo-Do Lee, 공저자 : Xin Wu, 교신(책임)저자 : Soo-Ki KimApplied sciences
78축산118051-3가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화김수기Allium Flavonols: Health Benefits, Molecular Targets, and Bioavailability2020-09-19주저자 : Damini Kothari, 공저자 : Woo-Do Lee, 교신(책임)저자 : Soo-Ki KimAntioxidants
89축산118051-3가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화김수기Controlled Fermentation Using Autochthonous Lactobacillus plantarum Improves Antimicrobial Potential of Chinese Chives against Poultry Pathogens2020-07-07주저자 : Kothari Damini, 주저자 : 이우도, 주저자 : 정은성, 공저자 : 우개민, 교신(책임)저자 : 김수기, 교신(책임)저자 : 이충환Antibiotics
910축산118053-3한우 유전정보 활용 고능력 거세우 및 번식우 생산기술 개발백명기Transcriptome changes associated with fat deposition in thelongissimus thoracisof Korean cattle following castration2020-06-12주저자 : 나상원, 공저자 : 박승주, 공저자 : 홍수종, 교신(책임)저자 : 백명기JOURNAL OF ANIMAL PHYSIOLOGY AND ANIMAL NUTRITION
번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
3637축산617077-5식용곤충을 활용한 프리미엄(휴먼그레이드)반려동물 간식 수출연구사업단조용훈Bacterial but not fungal challenge up-regulates the transcription of Coleoptericin genes in Tenebrio molitor2020-09-29주저자 : Jang, Ho Am, 공저자 : Ali Mohammadie Kojour, Maryam, 공저자 : Bae, Young Min, 공저자 : Baliarsingh, Snigdha, 공저자 : Han, Yeon Soo, 공저자 : Kim, Bo Bae, 공저자 : Lee, Yong Seok, 공저자 : Park, Ki Beom, 교신(책임)저자 : Jo, Yong HunEntomological Research
3738축산817025-3가수분해 곤충단백질을 이용한 반려동물 사료 및 기능성 첨가제 개발조경훈거저리 유충(밀웜) 가수분해물의 장내 미생물 연구2020-03-01주저자 : 신대근, 공저자 : 권규택, 공저자 : 유종상, 공저자 : 이수정, 공저자 : 장한수, 공저자 : 정이형, 공저자 : 조경훈, 공저자 : 최혜란한국식품영양과학회지 = Journal of the Korean Society of Food Science and Nutrition
3839축산817025-3가수분해 곤충단백질을 이용한 반려동물 사료 및 기능성 첨가제 개발조경훈Effects of mealworm (Tenebrio molitor) larvae hydrolysate on nutrient ileal digestibility in growing pigs compared to those of defatted mealworm larvae meal, fermented poultry by-product, and hydrolyzed fish soluble2020-03-01주저자 : 조경훈, 공저자 : 유종상Asian-Australas J Anim Sci
3940축산817025-3가수분해 곤충단백질을 이용한 반려동물 사료 및 기능성 첨가제 개발조경훈Mealworm larvae (Tenebrio molitor L.) exuviae as a novel prebiotic material for BALB/c mouse gut microbiota2020-04-01주저자 : Gyoo Taik Kwon, 공저자 : Han Su Jang, 공저자 : Hyun-Gyun Yuk, 공저자 : Hyunseok Kong, 공저자 : Jong-Sang Yoo, 공저자 : Kyung-Hoon Cho, 공저자 : Su Jung Lee, 공저자 : Yi Hyung Chung, 교신(책임)저자 : Daekeun ShinFood science and biotechnology
4041축산817029-3양돈 호흡기 질환 원인균 대응 용균 박테리오파지의 축산활용에 대한 과학적 근거 확보 및 이를 기반으로 한 최적형태의 제품 개발손지수Specific bacteriophage of Bordetella bronchiseptica regulates B. bronchiseptica-induced microRNA expression profiles to decrease inflammation in swine nasal turbinate cells2020-02-07주저자 : Ga Young Park, 공저자 : Hee-Jae Cha, 공저자 : Hyun Jin Yu, 공저자 : Jee Soo Son, 공저자 : Sang Joon Park, 교신(책임)저자 : Kyoung Seob SongGenes & Genomics
4142축산819031-2생물적 발효과정을 이용한 곤충 키틴발효 사료첨가제 생산기술개발 및 산업화박영규Characterization of Bioactive Components isolated from the Degradation of Black Soldier Flies Hermetia illucens by A Chitin-degradable Microorganism2020-05-21주저자 : So Yeon Park, 공저자 : Byung Ok Jung, 공저자 : Dae Young Jeong, 공저자 : Jung In Lee, 공저자 : Sang Hun Jung, 공저자 : Seung Nyun Kim, 공저자 : Young Kyu Park, 교신(책임)저자 : Jae Kweon ParkJ. Chitin Chitosan
4243축산918001-4유용 미생물 및 유전체 정보를 활용한 양돈장 악취개선 기능성 미생물제제 개발강정선Effects of probiotics containing (Lactobacillus planetarium) and2020-08-02주저자 : Y. Yang, 공저자 : J.H. Park, 교신(책임)저자 : I. H. KimLivestock Science
4344축산918001-4유용 미생물 및 유전체 정보를 활용한 양돈장 악취개선 기능성 미생물제제 개발강정선Association between the body weight of growing pigs and the functional capacity of their gut microbiota2020-09-07주저자 : Ju Kyoung Oh, 공저자 : Edward Alain B. Pajarillo, 공저자 : Jong Pyo Chae, 공저자 : Jong-Su Eun, 공저자 : Kwang-Youn Whang, 공저자 : Min-Jin Kwak, 공저자 : Sae-Hun Kim, 공저자 : Seok Woo Chee, 공저자 : Sung Hun Kim, 교신(책임)저자 : Dae-Kyung KangAnimal science journal = 日本畜産學會報
4445축산918002-4반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선Comparative genomics of canine Lactobacillus reuteri reveals adaptation to a shared environment with humans2020-08-06주저자 : 손승우, 공저자 : 오재돈, 공저자 : 이성호, 교신(책임)저자 : 김양선, 교신(책임)저자 : 신동현Genes #SF# Genomics
4546축산918002-4반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선Genome analysis of Bacteroides sp. CACC 737 isolated from feline for its potential application2020-11-30주저자 : 김정애, 공저자 : 김대혁, 공저자 : 정민영, 교신(책임)저자 : 김양선JAST