Overview

Dataset statistics

Number of variables9
Number of observations775
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.6 KiB
Average record size in memory72.2 B

Variable types

Text7
Categorical1
DateTime1

Dataset

Description평가원이 보유한 농림식품 관련 RnD 논문 성과정보. 분류,과제번호,과제명,연구책임자,논문명,학술지게재일,저자,학술지명 등의 항목으로 구성
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15111756/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:46:08.808985
Analysis finished2023-12-12 23:46:09.871932
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct775
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:10.134590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8606452
Min length7

Characters and Unicode

Total characters6867
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique775 ?
Unique (%)100.0%

Sample

1st rowN2022-1
2nd rowN2022-2
3rd rowN2022-3
4th rowN2022-4
5th rowN2022-5
ValueCountFrequency (%)
n2022-1 1
 
0.1%
n2022-583 1
 
0.1%
n2022-521 1
 
0.1%
n2022-512 1
 
0.1%
n2022-513 1
 
0.1%
n2022-514 1
 
0.1%
n2022-515 1
 
0.1%
n2022-516 1
 
0.1%
n2022-517 1
 
0.1%
n2022-518 1
 
0.1%
Other values (765) 765
98.7%
2023-12-13T08:46:10.617636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2583
37.6%
0 922
 
13.4%
N 775
 
11.3%
- 775
 
11.3%
1 258
 
3.8%
4 258
 
3.8%
3 258
 
3.8%
5 258
 
3.8%
6 257
 
3.7%
7 229
 
3.3%
Other values (2) 294
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5317
77.4%
Uppercase Letter 775
 
11.3%
Dash Punctuation 775
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2583
48.6%
0 922
 
17.3%
1 258
 
4.9%
4 258
 
4.9%
3 258
 
4.9%
5 258
 
4.9%
6 257
 
4.8%
7 229
 
4.3%
9 147
 
2.8%
8 147
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
N 775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 775
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6092
88.7%
Latin 775
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2583
42.4%
0 922
 
15.1%
- 775
 
12.7%
1 258
 
4.2%
4 258
 
4.2%
3 258
 
4.2%
5 258
 
4.2%
6 257
 
4.2%
7 229
 
3.8%
9 147
 
2.4%
Latin
ValueCountFrequency (%)
N 775
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2583
37.6%
0 922
 
13.4%
N 775
 
11.3%
- 775
 
11.3%
1 258
 
3.8%
4 258
 
3.8%
3 258
 
3.8%
5 258
 
3.8%
6 257
 
3.7%
7 229
 
3.3%
Other values (2) 294
 
4.3%

분류
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
농림식품 기계ㆍ시스템
167 
농림식품 환경생태
133 
식품
130 
농림식품 융복합
99 
축산
90 
Other values (3)
156 

Length

Max length11
Median length10
Mean length5.9690323
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농림식품 경제ㆍ사회
2nd row농림식품 경제ㆍ사회
3rd row농림식품 경제ㆍ사회
4th row농림식품 경제ㆍ사회
5th row농림식품 경제ㆍ사회

Common Values

ValueCountFrequency (%)
농림식품 기계ㆍ시스템 167
21.5%
농림식품 환경생태 133
17.2%
식품 130
16.8%
농림식품 융복합 99
12.8%
축산 90
11.6%
농산 75
9.7%
수의 75
9.7%
농림식품 경제ㆍ사회 6
 
0.8%

Length

2023-12-13T08:46:10.774052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:46:10.879759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 405
34.3%
기계ㆍ시스템 167
14.2%
환경생태 133
 
11.3%
식품 130
 
11.0%
융복합 99
 
8.4%
축산 90
 
7.6%
농산 75
 
6.4%
수의 75
 
6.4%
경제ㆍ사회 6
 
0.5%

과제번호
Text

Distinct293
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:11.171546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters6200
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

Unique144 ?
Unique (%)18.6%

Sample

1st row318064-3
2nd row617068-5
3rd row618001-5
4th row618001-5
5th row618001-5
ValueCountFrequency (%)
320005-4 29
 
3.7%
321001-3 25
 
3.2%
321036-5 17
 
2.2%
716001-7 16
 
2.1%
321028-5 13
 
1.7%
716002-7 13
 
1.7%
421020-3 13
 
1.7%
320001-4 12
 
1.5%
320043-5 11
 
1.4%
717001-7 11
 
1.4%
Other values (283) 615
79.4%
2023-12-13T08:46:11.592615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1141
18.4%
1 974
15.7%
2 951
15.3%
3 909
14.7%
- 775
12.5%
4 458
7.4%
5 313
 
5.0%
7 247
 
4.0%
8 182
 
2.9%
6 141
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5425
87.5%
Dash Punctuation 775
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1141
21.0%
1 974
18.0%
2 951
17.5%
3 909
16.8%
4 458
8.4%
5 313
 
5.8%
7 247
 
4.6%
8 182
 
3.4%
6 141
 
2.6%
9 109
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 775
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1141
18.4%
1 974
15.7%
2 951
15.3%
3 909
14.7%
- 775
12.5%
4 458
7.4%
5 313
 
5.0%
7 247
 
4.0%
8 182
 
2.9%
6 141
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1141
18.4%
1 974
15.7%
2 951
15.3%
3 909
14.7%
- 775
12.5%
4 458
7.4%
5 313
 
5.0%
7 247
 
4.0%
8 182
 
2.9%
6 141
 
2.3%

과제명
Text

Distinct295
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:11.924961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length46
Mean length31.610323
Min length7

Characters and Unicode

Total characters24498
Distinct characters508
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)19.0%

Sample

1st row일반 소득작물의 Best Farmer 영농기법 모델화 연구
2nd row과채류가공식품수출사업단
3rd row한국산 키위 수출 플랫폼 구축
4th row한국산 키위 수출 플랫폼 구축
5th row한국산 키위 수출 플랫폼 구축
ValueCountFrequency (%)
개발 537
 
8.5%
및 400
 
6.3%
기술 200
 
3.2%
위한 124
 
2.0%
기반 118
 
1.9%
스마트 68
 
1.1%
시스템 65
 
1.0%
활용한 44
 
0.7%
이용한 44
 
0.7%
모델 41
 
0.6%
Other values (1241) 4681
74.0%
2023-12-13T08:46:12.388736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5549
 
22.7%
기 706
 
2.9%
발 695
 
2.8%
개 662
 
2.7%
및 400
 
1.6%
이 383
 
1.6%
용 354
 
1.4%
스 341
 
1.4%
술 301
 
1.2%
한 279
 
1.1%
Other values (498) 14828
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18101
73.9%
Space Separator 5549
 
22.7%
Other Punctuation 219
 
0.9%
Uppercase Letter 192
 
0.8%
Decimal Number 178
 
0.7%
Lowercase Letter 98
 
0.4%
Open Punctuation 72
 
0.3%
Close Punctuation 72
 
0.3%
Dash Punctuation 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 706
 
3.9%
발 695
 
3.8%
개 662
 
3.7%
및 400
 
2.2%
이 383
 
2.1%
용 354
 
2.0%
스 341
 
1.9%
술 301
 
1.7%
한 279
 
1.5%
화 274
 
1.5%
Other values (438) 13706
75.7%
Uppercase Letter
ValueCountFrequency (%)
C 32
16.7%
T 18
9.4%
W 16
 
8.3%
I 14
 
7.3%
R 14
 
7.3%
S 13
 
6.8%
P 12
 
6.2%
B 11
 
5.7%
G 11
 
5.7%
M 7
 
3.6%
Other values (12) 44
22.9%
Lowercase Letter
ValueCountFrequency (%)
k 11
11.2%
m 10
10.2%
a 9
9.2%
s 9
9.2%
e 9
9.2%
r 6
 
6.1%
p 6
 
6.1%
i 6
 
6.1%
n 5
 
5.1%
o 5
 
5.1%
Other values (8) 22
22.4%
Decimal Number
ValueCountFrequency (%)
1 35
19.7%
3 30
16.9%
2 28
15.7%
5 25
14.0%
0 21
11.8%
9 16
9.0%
4 14
 
7.9%
6 6
 
3.4%
7 3
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 84
38.4%
· 63
28.8%
. 47
21.5%
/ 23
 
10.5%
@ 2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 57
79.2%
[ 15
 
20.8%
Close Punctuation
ValueCountFrequency (%)
) 57
79.2%
] 15
 
20.8%
Space Separator
ValueCountFrequency (%)
5549
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18100
73.9%
Common 6107
 
24.9%
Latin 290
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 706
 
3.9%
발 695
 
3.8%
개 662
 
3.7%
및 400
 
2.2%
이 383
 
2.1%
용 354
 
2.0%
스 341
 
1.9%
술 301
 
1.7%
한 279
 
1.5%
화 274
 
1.5%
Other values (437) 13705
75.7%
Latin
ValueCountFrequency (%)
C 32
 
11.0%
T 18
 
6.2%
W 16
 
5.5%
I 14
 
4.8%
R 14
 
4.8%
S 13
 
4.5%
P 12
 
4.1%
B 11
 
3.8%
k 11
 
3.8%
G 11
 
3.8%
Other values (30) 138
47.6%
Common
ValueCountFrequency (%)
5549
90.9%
, 84
 
1.4%
· 63
 
1.0%
( 57
 
0.9%
) 57
 
0.9%
. 47
 
0.8%
1 35
 
0.6%
3 30
 
0.5%
2 28
 
0.5%
5 25
 
0.4%
Other values (10) 132
 
2.2%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18099
73.9%
ASCII 6334
 
25.9%
None 63
 
0.3%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5549
87.6%
, 84
 
1.3%
( 57
 
0.9%
) 57
 
0.9%
. 47
 
0.7%
1 35
 
0.6%
C 32
 
0.5%
3 30
 
0.5%
2 28
 
0.4%
5 25
 
0.4%
Other values (49) 390
 
6.2%
Hangul
ValueCountFrequency (%)
기 706
 
3.9%
발 695
 
3.8%
개 662
 
3.7%
및 400
 
2.2%
이 383
 
2.1%
용 354
 
2.0%
스 341
 
1.9%
술 301
 
1.7%
한 279
 
1.5%
화 274
 
1.5%
Other values (436) 13704
75.7%
None
ValueCountFrequency (%)
· 63
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
多 1
100.0%

연구책임자
Text

Distinct275
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:12.714508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.0554839
Min length2

Characters and Unicode

Total characters2368
Distinct characters165
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)16.1%

Sample

1st row이지은
2nd row최정희
3rd row조정안
4th row조정안
5th row조정안
ValueCountFrequency (%)
이완규 29
 
3.7%
이귀재 25
 
3.2%
김경헌 17
 
2.2%
하유신 16
 
2.0%
주선태 13
 
1.7%
권오석 13
 
1.7%
장형관 13
 
1.7%
정선옥 12
 
1.5%
김현태 11
 
1.4%
최인영 11
 
1.4%
Other values (269) 622
79.5%
2023-12-13T08:46:13.157666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 171
 
7.2%
이 127
 
5.4%
정 82
 
3.5%
재 57
 
2.4%
선 57
 
2.4%
영 56
 
2.4%
경 51
 
2.2%
현 50
 
2.1%
최 48
 
2.0%
성 47
 
2.0%
Other values (155) 1622
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2294
96.9%
Lowercase Letter 47
 
2.0%
Uppercase Letter 20
 
0.8%
Space Separator 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 171
 
7.5%
이 127
 
5.5%
정 82
 
3.6%
재 57
 
2.5%
선 57
 
2.5%
영 56
 
2.4%
경 51
 
2.2%
현 50
 
2.2%
최 48
 
2.1%
성 47
 
2.0%
Other values (132) 1548
67.5%
Lowercase Letter
ValueCountFrequency (%)
o 11
23.4%
n 6
12.8%
e 6
12.8%
y 5
10.6%
u 4
 
8.5%
s 3
 
6.4%
a 2
 
4.3%
t 2
 
4.3%
g 2
 
4.3%
m 2
 
4.3%
Other values (2) 4
 
8.5%
Uppercase Letter
ValueCountFrequency (%)
H 5
25.0%
L 3
15.0%
I 2
 
10.0%
N 2
 
10.0%
W 2
 
10.0%
K 2
 
10.0%
G 1
 
5.0%
O 1
 
5.0%
A 1
 
5.0%
X 1
 
5.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2294
96.9%
Latin 67
 
2.8%
Common 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 171
 
7.5%
이 127
 
5.5%
정 82
 
3.6%
재 57
 
2.5%
선 57
 
2.5%
영 56
 
2.4%
경 51
 
2.2%
현 50
 
2.2%
최 48
 
2.1%
성 47
 
2.0%
Other values (132) 1548
67.5%
Latin
ValueCountFrequency (%)
o 11
16.4%
n 6
 
9.0%
e 6
 
9.0%
y 5
 
7.5%
H 5
 
7.5%
u 4
 
6.0%
L 3
 
4.5%
s 3
 
4.5%
a 2
 
3.0%
I 2
 
3.0%
Other values (12) 20
29.9%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2294
96.9%
ASCII 74
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 171
 
7.5%
이 127
 
5.5%
정 82
 
3.6%
재 57
 
2.5%
선 57
 
2.5%
영 56
 
2.4%
경 51
 
2.2%
현 50
 
2.2%
최 48
 
2.1%
성 47
 
2.0%
Other values (132) 1548
67.5%
ASCII
ValueCountFrequency (%)
o 11
14.9%
7
 
9.5%
n 6
 
8.1%
e 6
 
8.1%
y 5
 
6.8%
H 5
 
6.8%
u 4
 
5.4%
L 3
 
4.1%
s 3
 
4.1%
a 2
 
2.7%
Other values (13) 22
29.7%

논문명
Text

Distinct727
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:13.449482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length144
Mean length102.77677
Min length18

Characters and Unicode

Total characters79652
Distinct characters471
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique684 ?
Unique (%)88.3%

Sample

1st rowEvaluation of Growth Parameters, Physiological Responses, and Yield during Forcing Cultivation of Cucumbers in On-farm Trials
2nd rowJasmonate resistant 1 and ethylene responsive factor 11 are involved in chilling sensitivity in pepper fruit (Capsicum annuum L.)
3rd rowEmergence of multiple Diaporthe species causing kiwifruit rot and occurrence of resistance to a methyl benzimidazole carbamate fungicide in South Korea
4th rowEthylene Gas Indicator for Monitoring Climacteric Fruit Ripening
5th rowPostharvest Fumigation of (E)-2-Hexenal on Kiwifruit (Actinidia chinensis cv. ‘Haegeum’) Enhances Resistance to Botrytis cinerea
ValueCountFrequency (%)
of 676
 
6.2%
and 410
 
3.8%
in 329
 
3.0%
the 226
 
2.1%
a 156
 
1.4%
on 150
 
1.4%
for 138
 
1.3%
from 78
 
0.7%
with 76
 
0.7%
using 74
 
0.7%
Other values (3900) 8620
78.8%
2023-12-13T08:46:13.879785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10385
 
13.0%
e 6475
 
8.1%
i 5841
 
7.3%
o 5206
 
6.5%
a 5046
 
6.3%
n 4984
 
6.3%
t 4859
 
6.1%
r 4021
 
5.0%
s 3400
 
4.3%
c 2786
 
3.5%
Other values (461) 26649
33.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 59985
75.3%
Space Separator 10385
 
13.0%
Uppercase Letter 5045
 
6.3%
Other Letter 2909
 
3.7%
Dash Punctuation 433
 
0.5%
Decimal Number 359
 
0.5%
Other Punctuation 328
 
0.4%
Close Punctuation 94
 
0.1%
Open Punctuation 94
 
0.1%
Final Punctuation 9
 
< 0.1%
Other values (4) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 92
 
3.2%
한 68
 
2.3%
에 57
 
2.0%
기 56
 
1.9%
용 56
 
1.9%
이 50
 
1.7%
분 49
 
1.7%
성 48
 
1.7%
수 43
 
1.5%
시 39
 
1.3%
Other values (371) 2351
80.8%
Lowercase Letter
ValueCountFrequency (%)
e 6475
10.8%
i 5841
 
9.7%
o 5206
 
8.7%
a 5046
 
8.4%
n 4984
 
8.3%
t 4859
 
8.1%
r 4021
 
6.7%
s 3400
 
5.7%
c 2786
 
4.6%
l 2729
 
4.5%
Other values (21) 14638
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 493
 
9.8%
P 470
 
9.3%
S 451
 
8.9%
A 436
 
8.6%
E 318
 
6.3%
M 281
 
5.6%
I 271
 
5.4%
R 256
 
5.1%
D 254
 
5.0%
T 253
 
5.0%
Other values (16) 1562
31.0%
Other Punctuation
ValueCountFrequency (%)
, 165
50.3%
: 69
21.0%
. 58
 
17.7%
/ 26
 
7.9%
& 3
 
0.9%
* 2
 
0.6%
; 2
 
0.6%
@ 1
 
0.3%
% 1
 
0.3%
' 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 81
22.6%
2 62
17.3%
3 48
13.4%
0 47
13.1%
4 28
 
7.8%
5 28
 
7.8%
6 23
 
6.4%
7 16
 
4.5%
8 13
 
3.6%
9 13
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 93
98.9%
] 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 93
98.9%
[ 1
 
1.1%
Final Punctuation
ValueCountFrequency (%)
’ 7
77.8%
” 2
 
22.2%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
71.4%
“ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
10385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 433
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 65021
81.6%
Common 11711
 
14.7%
Hangul 2909
 
3.7%
Greek 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 92
 
3.2%
한 68
 
2.3%
에 57
 
2.0%
기 56
 
1.9%
용 56
 
1.9%
이 50
 
1.7%
분 49
 
1.7%
성 48
 
1.7%
수 43
 
1.5%
시 39
 
1.3%
Other values (371) 2351
80.8%
Latin
ValueCountFrequency (%)
e 6475
 
10.0%
i 5841
 
9.0%
o 5206
 
8.0%
a 5046
 
7.8%
n 4984
 
7.7%
t 4859
 
7.5%
r 4021
 
6.2%
s 3400
 
5.2%
c 2786
 
4.3%
l 2729
 
4.2%
Other values (43) 19674
30.3%
Common
ValueCountFrequency (%)
10385
88.7%
- 433
 
3.7%
, 165
 
1.4%
) 93
 
0.8%
( 93
 
0.8%
1 81
 
0.7%
: 69
 
0.6%
2 62
 
0.5%
. 58
 
0.5%
3 48
 
0.4%
Other values (22) 224
 
1.9%
Greek
ValueCountFrequency (%)
β 6
54.5%
γ 2
 
18.2%
α 1
 
9.1%
κ 1
 
9.1%
ε 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76714
96.3%
Hangul 2909
 
3.7%
Punctuation 16
 
< 0.1%
None 11
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10385
13.5%
e 6475
 
8.4%
i 5841
 
7.6%
o 5206
 
6.8%
a 5046
 
6.6%
n 4984
 
6.5%
t 4859
 
6.3%
r 4021
 
5.2%
s 3400
 
4.4%
c 2786
 
3.6%
Other values (70) 23711
30.9%
Hangul
ValueCountFrequency (%)
의 92
 
3.2%
한 68
 
2.3%
에 57
 
2.0%
기 56
 
1.9%
용 56
 
1.9%
이 50
 
1.7%
분 49
 
1.7%
성 48
 
1.7%
수 43
 
1.5%
시 39
 
1.3%
Other values (371) 2351
80.8%
Punctuation
ValueCountFrequency (%)
’ 7
43.8%
‘ 5
31.2%
” 2
 
12.5%
“ 2
 
12.5%
None
ValueCountFrequency (%)
β 6
54.5%
γ 2
 
18.2%
α 1
 
9.1%
κ 1
 
9.1%
ε 1
 
9.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

학술지게재일
Date

Distinct262
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T08:46:13.994636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:46:14.097046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct735
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:14.365808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length392
Median length216
Mean length91.372903
Min length9

Characters and Unicode

Total characters70814
Distinct characters352
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

Unique703 ?
Unique (%)90.7%

Sample

1st row주저자 : 이지은, 공저자 : 나명환, 교신(책임)저자 : 김성겸
2nd row주저자 : 이정구, 공저자 : 강병철, 공저자 : 서지은, 공저자 : 최정희, 교신(책임)저자 : 이은진
3rd row주저자 : 기승은, 주저자 : 김원용, 교신(책임)저자 : 양광열
4th row주저자 : 신동운, 교신(책임)저자 : 이승주
5th row주저자 : 현지연, 공저자 : 양광열, 공저자 : 이정구, 공저자 : 임수연, 교신(책임)저자 : 이은진
ValueCountFrequency (%)
4164
26.9%
공저자 2319
 
15.0%
주저자 971
 
6.3%
교신(책임)저자 854
 
5.5%
kim 341
 
2.2%
lee 260
 
1.7%
park 155
 
1.0%
choi 88
 
0.6%
cho 58
 
0.4%
hyun 56
 
0.4%
Other values (3015) 6203
40.1%
2023-12-13T08:46:14.758770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14817
20.9%
자 4155
 
5.9%
: 4144
 
5.9%
저 4144
 
5.9%
, 3400
 
4.8%
n 2924
 
4.1%
o 2384
 
3.4%
공 2319
 
3.3%
a 2083
 
2.9%
e 2040
 
2.9%
Other values (342) 28404
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20863
29.5%
Lowercase Letter 18863
26.6%
Space Separator 14817
20.9%
Other Punctuation 7603
 
10.7%
Uppercase Letter 6282
 
8.9%
Open Punctuation 868
 
1.2%
Close Punctuation 868
 
1.2%
Dash Punctuation 648
 
0.9%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 4155
19.9%
저 4144
19.9%
공 2319
11.1%
주 1055
 
5.1%
신 918
 
4.4%
임 903
 
4.3%
교 858
 
4.1%
책 854
 
4.1%
김 383
 
1.8%
이 295
 
1.4%
Other values (268) 4979
23.9%
Lowercase Letter
ValueCountFrequency (%)
n 2924
15.5%
o 2384
12.6%
a 2083
11.0%
e 2040
10.8%
i 1528
8.1%
u 1456
7.7%
g 1332
7.1%
h 944
 
5.0%
m 769
 
4.1%
y 660
 
3.5%
Other values (27) 2743
14.5%
Uppercase Letter
ValueCountFrequency (%)
S 755
12.0%
K 721
11.5%
J 656
10.4%
H 609
 
9.7%
Y 461
 
7.3%
M 353
 
5.6%
C 345
 
5.5%
L 344
 
5.5%
A 223
 
3.5%
P 221
 
3.5%
Other values (18) 1594
25.4%
Other Punctuation
ValueCountFrequency (%)
: 4144
54.5%
, 3400
44.7%
. 59
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
14817
100.0%
Open Punctuation
ValueCountFrequency (%)
( 868
100.0%
Close Punctuation
ValueCountFrequency (%)
) 868
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 648
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25125
35.5%
Common 24806
35.0%
Hangul 20863
29.5%
Cyrillic 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 4155
19.9%
저 4144
19.9%
공 2319
11.1%
주 1055
 
5.1%
신 918
 
4.4%
임 903
 
4.3%
교 858
 
4.1%
책 854
 
4.1%
김 383
 
1.8%
이 295
 
1.4%
Other values (268) 4979
23.9%
Latin
ValueCountFrequency (%)
n 2924
 
11.6%
o 2384
 
9.5%
a 2083
 
8.3%
e 2040
 
8.1%
i 1528
 
6.1%
u 1456
 
5.8%
g 1332
 
5.3%
h 944
 
3.8%
m 769
 
3.1%
S 755
 
3.0%
Other values (42) 8910
35.5%
Cyrillic
ValueCountFrequency (%)
а 3
15.0%
э 2
10.0%
р 2
10.0%
н 2
10.0%
я 2
10.0%
Б 2
10.0%
й 1
 
5.0%
и 1
 
5.0%
г 1
 
5.0%
б 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
14817
59.7%
: 4144
 
16.7%
, 3400
 
13.7%
( 868
 
3.5%
) 868
 
3.5%
- 648
 
2.6%
. 59
 
0.2%
2 1
 
< 0.1%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49931
70.5%
Hangul 20863
29.5%
Cyrillic 20
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14817
29.7%
: 4144
 
8.3%
, 3400
 
6.8%
n 2924
 
5.9%
o 2384
 
4.8%
a 2083
 
4.2%
e 2040
 
4.1%
i 1528
 
3.1%
u 1456
 
2.9%
g 1332
 
2.7%
Other values (51) 13823
27.7%
Hangul
ValueCountFrequency (%)
자 4155
19.9%
저 4144
19.9%
공 2319
11.1%
주 1055
 
5.1%
신 918
 
4.4%
임 903
 
4.3%
교 858
 
4.1%
책 854
 
4.1%
김 383
 
1.8%
이 295
 
1.4%
Other values (268) 4979
23.9%
Cyrillic
ValueCountFrequency (%)
а 3
15.0%
э 2
10.0%
р 2
10.0%
н 2
10.0%
я 2
10.0%
Б 2
10.0%
й 1
 
5.0%
и 1
 
5.0%
г 1
 
5.0%
б 1
 
5.0%
Other values (3) 3
15.0%

학술지명
Text

Distinct454
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-13T08:46:14.997080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length47
Mean length22.722581
Min length3

Characters and Unicode

Total characters17610
Distinct characters173
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique327 ?
Unique (%)42.2%

Sample

1st row원예과학기술지
2nd rowscientific reports
3rd rowCrop protection
4th row한국포장학회 [Korea Society Of Packaging Science & Technology]
5th row(E)-2-Hexenal is a reactive electrophile species released by green plants upon herbivory or pathogenic infection and induces various defense responses
ValueCountFrequency (%)
of 203
 
8.8%
journal 186
 
8.1%
and 133
 
5.8%
science 125
 
5.4%
in 72
 
3.1%
plant 55
 
2.4%
food 54
 
2.3%
frontiers 49
 
2.1%
animal 40
 
1.7%
technology 40
 
1.7%
Other values (439) 1344
58.4%
2023-12-13T08:46:15.355076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1532
 
8.7%
o 1503
 
8.5%
n 1355
 
7.7%
e 1325
 
7.5%
i 1146
 
6.5%
a 990
 
5.6%
r 984
 
5.6%
l 856
 
4.9%
c 784
 
4.5%
t 690
 
3.9%
Other values (163) 6445
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12603
71.6%
Uppercase Letter 2345
 
13.3%
Space Separator 1532
 
8.7%
Other Letter 1027
 
5.8%
Other Punctuation 50
 
0.3%
Decimal Number 19
 
0.1%
Dash Punctuation 17
 
0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 109
 
10.6%
회 89
 
8.7%
지 72
 
7.0%
한 70
 
6.8%
국 69
 
6.7%
생 30
 
2.9%
문 28
 
2.7%
논 28
 
2.7%
농 27
 
2.6%
과 24
 
2.3%
Other values (94) 481
46.8%
Lowercase Letter
ValueCountFrequency (%)
o 1503
11.9%
n 1355
10.8%
e 1325
10.5%
i 1146
9.1%
a 990
7.9%
r 984
7.8%
l 856
 
6.8%
c 784
 
6.2%
t 690
 
5.5%
s 581
 
4.6%
Other values (15) 2389
19.0%
Uppercase Letter
ValueCountFrequency (%)
S 222
 
9.5%
A 204
 
8.7%
J 195
 
8.3%
E 170
 
7.2%
C 161
 
6.9%
P 158
 
6.7%
F 143
 
6.1%
I 130
 
5.5%
B 124
 
5.3%
T 123
 
5.2%
Other values (15) 715
30.5%
Decimal Number
ValueCountFrequency (%)
2 8
42.1%
1 4
21.1%
3 2
 
10.5%
0 1
 
5.3%
7 1
 
5.3%
5 1
 
5.3%
9 1
 
5.3%
4 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 19
38.0%
. 16
32.0%
, 14
28.0%
: 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 7
87.5%
] 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 7
87.5%
[ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1532
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14948
84.9%
Common 1635
 
9.3%
Hangul 1027
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 109
 
10.6%
회 89
 
8.7%
지 72
 
7.0%
한 70
 
6.8%
국 69
 
6.7%
생 30
 
2.9%
문 28
 
2.7%
논 28
 
2.7%
농 27
 
2.6%
과 24
 
2.3%
Other values (94) 481
46.8%
Latin
ValueCountFrequency (%)
o 1503
 
10.1%
n 1355
 
9.1%
e 1325
 
8.9%
i 1146
 
7.7%
a 990
 
6.6%
r 984
 
6.6%
l 856
 
5.7%
c 784
 
5.2%
t 690
 
4.6%
s 581
 
3.9%
Other values (40) 4734
31.7%
Common
ValueCountFrequency (%)
1532
93.7%
& 19
 
1.2%
- 17
 
1.0%
. 16
 
1.0%
, 14
 
0.9%
2 8
 
0.5%
) 7
 
0.4%
( 7
 
0.4%
1 4
 
0.2%
3 2
 
0.1%
Other values (9) 9
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16583
94.2%
Hangul 1027
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1532
 
9.2%
o 1503
 
9.1%
n 1355
 
8.2%
e 1325
 
8.0%
i 1146
 
6.9%
a 990
 
6.0%
r 984
 
5.9%
l 856
 
5.2%
c 784
 
4.7%
t 690
 
4.2%
Other values (59) 5418
32.7%
Hangul
ValueCountFrequency (%)
학 109
 
10.6%
회 89
 
8.7%
지 72
 
7.0%
한 70
 
6.8%
국 69
 
6.7%
생 30
 
2.9%
문 28
 
2.7%
논 28
 
2.7%
농 27
 
2.6%
과 24
 
2.3%
Other values (94) 481
46.8%

Missing values

2023-12-13T08:46:09.623350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:46:09.806955image/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
0N2022-1농림식품 경제ㆍ사회318064-3일반 소득작물의 Best Farmer 영농기법 모델화 연구이지은Evaluation of Growth Parameters, Physiological Responses, and Yield during Forcing Cultivation of Cucumbers in On-farm Trials2022-03-12주저자 : 이지은, 공저자 : 나명환, 교신(책임)저자 : 김성겸원예과학기술지
1N2022-2농림식품 경제ㆍ사회617068-5과채류가공식품수출사업단최정희Jasmonate resistant 1 and ethylene responsive factor 11 are involved in chilling sensitivity in pepper fruit (Capsicum annuum L.)2022-02-24주저자 : 이정구, 공저자 : 강병철, 공저자 : 서지은, 공저자 : 최정희, 교신(책임)저자 : 이은진scientific reports
2N2022-3농림식품 경제ㆍ사회618001-5한국산 키위 수출 플랫폼 구축조정안Emergence of multiple Diaporthe species causing kiwifruit rot and occurrence of resistance to a methyl benzimidazole carbamate fungicide in South Korea2022-05-12주저자 : 기승은, 주저자 : 김원용, 교신(책임)저자 : 양광열Crop protection
3N2022-4농림식품 경제ㆍ사회618001-5한국산 키위 수출 플랫폼 구축조정안Ethylene Gas Indicator for Monitoring Climacteric Fruit Ripening2022-04-28주저자 : 신동운, 교신(책임)저자 : 이승주한국포장학회 [Korea Society Of Packaging Science & Technology]
4N2022-5농림식품 경제ㆍ사회618001-5한국산 키위 수출 플랫폼 구축조정안Postharvest Fumigation of (E)-2-Hexenal on Kiwifruit (Actinidia chinensis cv. ‘Haegeum’) Enhances Resistance to Botrytis cinerea2022-02-01주저자 : 현지연, 공저자 : 양광열, 공저자 : 이정구, 공저자 : 임수연, 교신(책임)저자 : 이은진(E)-2-Hexenal is a reactive electrophile species released by green plants upon herbivory or pathogenic infection and induces various defense responses
5N2022-6농림식품 경제ㆍ사회618001-5한국산 키위 수출 플랫폼 구축조정안Protease activities of extracts from kiwi of various colors and their use as a tenderizer in cured pork loins2022-08-17주저자 : 김하은, 교신(책임)저자 : 진구복Journal of Food Processing and Preservation
6N2022-7농림식품 기계ㆍ시스템120097-3융복합 (대수층 계간축열, 바이오설비, 수열히트펌프) 에너지 생산관리 및 실증모델 구축오정석Open-source IoT monitoring system of a shallow geothermal system for heating and cooling year-round in Korea2022-07-01주저자 : 박희찬, 공저자 : 심병완, 교신(책임)저자 : 박정욱Energy
7N2022-8농림식품 기계ㆍ시스템121027-3외부온도 및 적외선 감응형 농업용 특수(조광)필름 국산화 기술 개발이준영Water-Based Highly Stretchable PEDOT:PSS/Nonionic WPU Transparent Electrode2022-02-26주저자 : 김영노, 공저자 : 우신석, 교신(책임)저자 : 김중현polymers
8N2022-9농림식품 기계ㆍ시스템122033-2양파 수집기 고도화 기술 개발(1과제)한광민Development of the Reliability Assessment Process of the Hydraulic Pump for a 78 kW Tractor during Major Agricultural Operations2022-10-04주저자 : Md. Abu Ayub Siddique, 공저자 : Ryu-Gap Lim, 공저자 : Seung-Min Baek, 공저자 : Seung-Yun Baek, 공저자 : Tae-Ho Han, 공저자 : Wan-Soo Kim, 공저자 : Yean-Soo Kim, 공저자 : Yong Choi, 교신(책임)저자 : Yong-Joo KimMDPI
9N2022-10농림식품 기계ㆍ시스템318005-4낙농데이터 융복합을 위한 데이터 수집장치 및 서비스모델 개발 연구조재준A Vector Representation of Lactation Curves for Dairy Cows2022-03-11주저자 : 이성훈, 교신(책임)저자 : 박재화Agriculture
번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
765N2022-766축산421050-3국가단위 유전능력 평가 모형 적용 및 체중체척 예측 모델 개발당창권Machine Learning-Based LiveWeight Estimation for Hanwoo Cow2022-10-05주저자 : 당창권, 주저자 : 최태정, 공저자 : 박미나, 공저자 : 아람마부, 공저자 : 이수현, 공저자 : 이승수, 공저자 : 한승규, 교신(책임)저자 : Duytang Hoang, 교신(책임)저자 : 이재구sustainability
766N2022-767축산421050-3국가단위 유전능력 평가 모형 적용 및 체중체척 예측 모델 개발당창권한우의 12개월령 체척형질을 이용한 체중 예측2022-12-31주저자 : 이도현, 공저자 : 노승희, 공저자 : 당창권, 공저자 : 박미나, 공저자 : 아람마부, 공저자 : 이수현, 공저자 : 이승수, 공저자 : 이영창, 공저자 : 이재구, 공저자 : 장혁기, 교신(책임)저자 : 최태정Journal of Animal Breeding and Genomics
767N2022-768축산617077-5식용곤충을 활용한 프리미엄(휴먼그레이드)반려동물 간식 수출연구사업단조용훈Current knowledge of immune priming in invertebrates, emphasizing studies on Tenebrio molitor2022-02-04주저자 : Maryam Ali Mohammadie Kojour, 주저자 : Yeon Soo Han, 공저자 : Ho Am Jang, 공저자 : Jong Eun Lee, 공저자 : Keunho Yun, 공저자 : Ki Beom Park, 공저자 : Snigdha Baliarsingh, 교신(책임)저자 : Bharat Bhusan Patnaik, 교신(책임)저자 : Yong Hun JoDevelopmental and Comparative Immunology
768N2022-769축산617077-5식용곤충을 활용한 프리미엄(휴먼그레이드)반려동물 간식 수출연구사업단조용훈TmIKKε Is Required to Confer Protection Against Gram-Negative Bacteria, E. coli by the Regulation of Antimicrobial Peptide Production in the Tenebrio molitor Fat Body2022-01-07주저자 : 고혜진, 공저자 : Baliarsingh, Snigdha, 공저자 : Patnaik, Bharat Bhusan, 공저자 : 김창은, 공저자 : 박기범, 공저자 : 이용석, 공저자 : 장호암, 교신(책임)저자 : 조용훈, 교신(책임)저자 : 한연수Frontiers in Physiology
769N2022-770축산715003-7제주흑우 대량증식 및 산업화박세필Comparison of the improving embryo development effects of Sasa quelpaertensis Nakai extract, p-coumaric acid, and myricetin on porcine oocytes according to their antioxidant capacities2022-03-14주저자 : Da-Bin Pyeon, 주저자 : Seung-Eun Lee, 공저자 : Do-Geon Lee, 공저자 : Eun-Young Kim, 공저자 : Hyo-Jin Park, 공저자 : Jae-Wook Yoon, 공저자 : Seung-Hwan Oh, 교신(책임)저자 : Se-Pill ParkTheriogenology
770N2022-771축산715003-7제주흑우 대량증식 및 산업화박세필Effect of Addition of Fermented Soy Sauce on Quality Characteristics of Pork Patties during Refrigerated Storage2022-03-29주저자 : Yun-a Kim, 공저자 : Gyutae Park, 공저자 : Sanghun Park, 공저자 : Sehyuk Oh, 공저자 : Yunhwan Park, 교신(책임)저자 : Jungseok Choifoods
771N2022-772축산715003-7제주흑우 대량증식 및 산업화박세필Effect of Supplementation of Cryoprotectant Solution with Hydroxypropyl Cellulose for Vitrification of Bovine Oocytes2022-09-30주저자 : Do-Geon Lee, 주저자 : Min-Jee Park, 공저자 : Da-Bin Pyeon, 공저자 : Eun-Young Kim, 공저자 : Hyo-Jin Park, 공저자 : Jae-Wook Yoon, 공저자 : Seung-Eun Lee, 공저자 : Seung-Hwan Oh, 공저자 : So-Hee Kim, 교신(책임)저자 : Se-Pill Parkanimals
772N2022-773축산715003-7제주흑우 대량증식 및 산업화박세필Effects of Hypoxia on Proliferation and Differentiation in Belgian Blue and Hanwoo Muscle Satellite Cells for the Development of Cultured Meat2022-06-16주저자 : Sanghun Park, 공저자 : Arin Dogan, 공저자 : Geertje Swennen, 공저자 : Gyutae Park, 공저자 : Mick Gagliardi, 공저자 : Sehyuk Oh, 공저자 : Yuna Kim, 공저자 : Yunhwan Park, 교신(책임)저자 : Jungseok Choi, 교신(책임)저자 : Mark Postbiomolecules
773N2022-774축산821035-3난각분말과 다목적 복합생균제를 활용한 단위가축용 사료첨가제의 상용화김수기EvaluationofNonFermentedandFermentedChineseChiveJuiceasanAlternativetoAntibioticGrowthPromoters ofBroilers2022-10-12주저자 : Woo-Do Lee, 공저자 : Damini Kothari, 공저자 : Gun-Whi Ga, 공저자 : Jong-Il Kim, 공저자 : Kyung-Il Kim, 공저자 : Seung-Gyu Moon, 공저자 : Ying-Gi Kim, 교신(책임)저자 : Soo-Ki KimAnimals
774N2022-775축산821035-3난각분말과 다목적 복합생균제를 활용한 단위가축용 사료첨가제의 상용화김수기Potential Probiotic Acceptability of a Novel Strain of Paenibacillus konkukensis SK 3146 and Its Dietary Effects on Growth Performance, Intestinal Microbiota, and Meat Quality in Broilers2022-06-06주저자 : Seung-Gyu Moon, 공저자 : Damini Kothari, 공저자 : Eun-Jip Kim, 공저자 : Gun-Whi Ga, 공저자 : Jong-Il Kim, 공저자 : Kyung-Il Kim, 공저자 : Woo-Do Lee, 공저자 : Yong-Gi Kim, 교신(책임)저자 : Soo-Ki KimAnimals