Overview

Dataset statistics

Number of variables9
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory75.5 B

Variable types

Numeric1
Categorical4
Text3
DateTime1

Dataset

Description농림식품 관련 RnD 과제 성과로 창출된 정보 제공 우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 축산 R&D 국내 및 국제학술발표정보 공개
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075504/fileData.do

Alerts

분류 has constant value ""Constant
과제명 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
과제관리번호 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
연구책임자 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 과제관리번호 and 2 other fieldsHigh correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:29:09.644298
Analysis finished2023-12-12 03:29:10.969696
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T12:29:11.068978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2023-12-12T12:29:11.570647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
축산
53 

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 53
100.0%

Length

2023-12-12T12:29:11.720461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:29:11.834307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산 53
100.0%

과제관리번호
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
312062-5
6 
318022-4
6 
918002-4
4 
318016-5
4 
817024-3
 
3
Other values (19)
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique11 ?
Unique (%)20.8%

Sample

1st row117030-3
2nd row117114-1
3rd row118016-3
4th row118016-3
5th row118051-3

Common Values

ValueCountFrequency (%)
312062-5 6
 
11.3%
318022-4 6
 
11.3%
918002-4 4
 
7.5%
318016-5 4
 
7.5%
817024-3 3
 
5.7%
317021-3 3
 
5.7%
318012-4 3
 
5.7%
715003-7 3
 
5.7%
118051-3 2
 
3.8%
918001-4 2
 
3.8%
Other values (14) 17
32.1%

Length

2023-12-12T12:29:11.962591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
312062-5 6
 
11.3%
318022-4 6
 
11.3%
918002-4 4
 
7.5%
318016-5 4
 
7.5%
817024-3 3
 
5.7%
317021-3 3
 
5.7%
318012-4 3
 
5.7%
715003-7 3
 
5.7%
617077-5 2
 
3.8%
118016-3 2
 
3.8%
Other values (14) 17
32.1%

과제명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
말 유래 줄기세포 확립 및 활용기술 개발
6 
동물복지 축산물의 품질차별화 및 품질인증시스템 구축
6 
반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발
4 
인체 질환모델 중대동물 개발
4 
소 정자 특이 결합 단백질을 이용한 선택적 성 조절용 제품 및 정액 생산
 
3
Other values (19)
30 

Length

Max length58
Median length44
Mean length30.660377
Min length8

Unique

Unique11 ?
Unique (%)20.8%

Sample

1st row유단백질 고함유 우유생산을 위한 젖소에서의 필수아미노산의 이용성 증진연구
2nd row기능성 식물정유 활용 닭진드기 친환경살비제 소재개발 및 제형화
3rd rowICT 기반 젖소 육성우 전문 목장 동물복지 강화 및 환경제어 시스템 개발
4th rowICT 기반 젖소 육성우 전문 목장 동물복지 강화 및 환경제어 시스템 개발
5th row가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화

Common Values

ValueCountFrequency (%)
말 유래 줄기세포 확립 및 활용기술 개발 6
 
11.3%
동물복지 축산물의 품질차별화 및 품질인증시스템 구축 6
 
11.3%
반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발 4
 
7.5%
인체 질환모델 중대동물 개발 4
 
7.5%
소 정자 특이 결합 단백질을 이용한 선택적 성 조절용 제품 및 정액 생산 3
 
5.7%
수출전략형 노령 펫용 기능성 맞춤형 사료 제품 개발 3
 
5.7%
축산 악취 제어용 복합미생물제제 개발 및 실증 연구 3
 
5.7%
제주흑우 대량증식 및 산업화 3
 
5.7%
가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화 2
 
3.8%
유용 미생물 및 유전체 정보를 활용한 양돈장 악취개선 기능성 미생물제제 개발 2
 
3.8%
Other values (14) 17
32.1%

Length

2023-12-12T12:29:12.139974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 30
 
7.3%
개발 30
 
7.3%
동물복지 8
 
1.9%
구축 7
 
1.7%
축산물의 7
 
1.7%
품질인증시스템 6
 
1.5%
제품 6
 
1.5%
미생물제제 6
 
1.5%
기반 6
 
1.5%
기능성 6
 
1.5%
Other values (145) 300
72.8%

연구책임자
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
정영철
6 
정규식
6 
현상환
4 
김동구
4 
김양선
4 
Other values (18)
29 

Length

Max length3
Median length3
Mean length2.9811321
Min length2

Unique

Unique10 ?
Unique (%)18.9%

Sample

1st row문준옥
2nd row안인
3rd row백명기
4th row백명기
5th row김수기

Common Values

ValueCountFrequency (%)
정영철 6
 
11.3%
정규식 6
 
11.3%
현상환 4
 
7.5%
김동구 4
 
7.5%
김양선 4
 
7.5%
조우재 3
 
5.7%
한귀환 3
 
5.7%
박세필 3
 
5.7%
강정선 2
 
3.8%
조용훈 2
 
3.8%
Other values (13) 16
30.2%

Length

2023-12-12T12:29:12.283264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정영철 6
 
11.3%
정규식 6
 
11.3%
현상환 4
 
7.5%
김동구 4
 
7.5%
김양선 4
 
7.5%
조우재 3
 
5.7%
한귀환 3
 
5.7%
박세필 3
 
5.7%
백명기 2
 
3.8%
김기연 2
 
3.8%
Other values (13) 16
30.2%

학술회의명
Text

Distinct41
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T12:29:12.604087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length52
Mean length23.132075
Min length6

Characters and Unicode

Total characters1226
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)64.2%

Sample

1st rowEuropean Federation of Animal Science Annual Meeting
2nd row2020년 정기총회 및 추계학술발표회 개최안내(e-conference)
3rd row2020 ASAS-CSAS-WSASAS Virtual Annual Meeting and Trade Show
4th row2020 한국축산학회 학술발표회
5th row한국축산학회
ValueCountFrequency (%)
2020 14
 
7.9%
2020년 7
 
4.0%
한국수의병리학회 6
 
3.4%
한국동물생명공학회 6
 
3.4%
and 5
 
2.8%
meeting 5
 
2.8%
of 5
 
2.8%
및 4
 
2.3%
annual 4
 
2.3%
한국축산학회 4
 
2.3%
Other values (80) 117
66.1%
2023-12-12T12:29:13.154793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
10.1%
e 59
 
4.8%
회 56
 
4.6%
n 53
 
4.3%
학 53
 
4.3%
0 52
 
4.2%
2 51
 
4.2%
o 37
 
3.0%
국 35
 
2.9%
한 34
 
2.8%
Other values (108) 672
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
34.9%
Lowercase Letter 416
33.9%
Space Separator 124
 
10.1%
Uppercase Letter 124
 
10.1%
Decimal Number 111
 
9.1%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Dash Punctuation 6
 
0.5%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 56
 
13.1%
학 53
 
12.4%
국 35
 
8.2%
한 34
 
7.9%
술 18
 
4.2%
생 16
 
3.7%
대 14
 
3.3%
물 12
 
2.8%
산 12
 
2.8%
명 10
 
2.3%
Other values (51) 168
39.3%
Lowercase Letter
ValueCountFrequency (%)
e 59
14.2%
n 53
12.7%
o 37
8.9%
a 32
 
7.7%
t 31
 
7.5%
r 30
 
7.2%
i 29
 
7.0%
l 20
 
4.8%
u 18
 
4.3%
f 15
 
3.6%
Other values (12) 92
22.1%
Uppercase Letter
ValueCountFrequency (%)
S 29
23.4%
A 21
16.9%
C 11
 
8.9%
I 9
 
7.3%
M 8
 
6.5%
F 8
 
6.5%
K 7
 
5.6%
B 6
 
4.8%
R 5
 
4.0%
T 5
 
4.0%
Other values (9) 15
12.1%
Decimal Number
ValueCountFrequency (%)
0 52
46.8%
2 51
45.9%
5 2
 
1.8%
6 1
 
0.9%
3 1
 
0.9%
9 1
 
0.9%
7 1
 
0.9%
4 1
 
0.9%
1 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 3
60.0%
& 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 540
44.0%
Hangul 428
34.9%
Common 258
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 56
 
13.1%
학 53
 
12.4%
국 35
 
8.2%
한 34
 
7.9%
술 18
 
4.2%
생 16
 
3.7%
대 14
 
3.3%
물 12
 
2.8%
산 12
 
2.8%
명 10
 
2.3%
Other values (51) 168
39.3%
Latin
ValueCountFrequency (%)
e 59
 
10.9%
n 53
 
9.8%
o 37
 
6.9%
a 32
 
5.9%
t 31
 
5.7%
r 30
 
5.6%
i 29
 
5.4%
S 29
 
5.4%
A 21
 
3.9%
l 20
 
3.7%
Other values (31) 199
36.9%
Common
ValueCountFrequency (%)
124
48.1%
0 52
20.2%
2 51
19.8%
( 6
 
2.3%
) 6
 
2.3%
- 6
 
2.3%
: 3
 
1.2%
5 2
 
0.8%
6 1
 
0.4%
3 1
 
0.4%
Other values (6) 6
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 798
65.1%
Hangul 428
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
15.5%
e 59
 
7.4%
n 53
 
6.6%
0 52
 
6.5%
2 51
 
6.4%
o 37
 
4.6%
a 32
 
4.0%
t 31
 
3.9%
r 30
 
3.8%
i 29
 
3.6%
Other values (47) 300
37.6%
Hangul
ValueCountFrequency (%)
회 56
 
13.1%
학 53
 
12.4%
국 35
 
8.2%
한 34
 
7.9%
술 18
 
4.2%
생 16
 
3.7%
대 14
 
3.3%
물 12
 
2.8%
산 12
 
2.8%
명 10
 
2.3%
Other values (51) 168
39.3%

학술발표제목
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T12:29:13.629454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length106
Mean length83.132075
Min length14

Characters and Unicode

Total characters4406
Distinct characters196
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)92.5%

Sample

1st rowEffects of a combination of rumen-protected amino acids prototypes on performance of Holstein cows
2nd row식물추출물과 식물성정유 혼합제를 이용한 산란계진드기 친환경방제제 개발
3rd rowEffects of regrouping and administrations of meloxicam and chromium on plasma cortisol concentrations and behaviors in dairy calves
4th rowHolstein 임신우의 수송과 비타민E와 셀레늄 복합 경구투여가 혈중 백혈구 세포에 미치는 영향
5th rowDietary supplementation of fermented Chinese chives improves the meat color and gut microbiota composition in broilers
ValueCountFrequency (%)
of 41
 
6.3%
and 22
 
3.4%
in 19
 
2.9%
the 14
 
2.2%
on 10
 
1.5%
from 9
 
1.4%
a 9
 
1.4%
analysis 8
 
1.2%
vitro 6
 
0.9%
for 6
 
0.9%
Other values (370) 505
77.8%
2023-12-12T12:29:14.196391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
598
 
13.6%
e 315
 
7.1%
i 304
 
6.9%
o 298
 
6.8%
a 256
 
5.8%
n 246
 
5.6%
t 236
 
5.4%
r 182
 
4.1%
s 179
 
4.1%
l 149
 
3.4%
Other values (186) 1643
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3043
69.1%
Space Separator 598
 
13.6%
Uppercase Letter 380
 
8.6%
Other Letter 333
 
7.6%
Dash Punctuation 19
 
0.4%
Decimal Number 13
 
0.3%
Other Punctuation 8
 
0.2%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 11
 
3.3%
의 10
 
3.0%
성 9
 
2.7%
과 7
 
2.1%
용 7
 
2.1%
제 7
 
2.1%
한 6
 
1.8%
식 6
 
1.8%
영 6
 
1.8%
서 6
 
1.8%
Other values (122) 258
77.5%
Lowercase Letter
ValueCountFrequency (%)
e 315
10.4%
i 304
10.0%
o 298
 
9.8%
a 256
 
8.4%
n 246
 
8.1%
t 236
 
7.8%
r 182
 
6.0%
s 179
 
5.9%
l 149
 
4.9%
c 124
 
4.1%
Other values (16) 754
24.8%
Uppercase Letter
ValueCountFrequency (%)
C 38
 
10.0%
E 34
 
8.9%
S 31
 
8.2%
A 30
 
7.9%
I 30
 
7.9%
M 28
 
7.4%
P 23
 
6.1%
O 22
 
5.8%
T 22
 
5.8%
N 18
 
4.7%
Other values (13) 104
27.4%
Decimal Number
ValueCountFrequency (%)
7 4
30.8%
5 3
23.1%
1 2
15.4%
6 2
15.4%
2 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 3
37.5%
, 2
25.0%
& 1
 
12.5%
: 1
 
12.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
598
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3423
77.7%
Common 650
 
14.8%
Hangul 333
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 11
 
3.3%
의 10
 
3.0%
성 9
 
2.7%
과 7
 
2.1%
용 7
 
2.1%
제 7
 
2.1%
한 6
 
1.8%
식 6
 
1.8%
영 6
 
1.8%
서 6
 
1.8%
Other values (122) 258
77.5%
Latin
ValueCountFrequency (%)
e 315
 
9.2%
i 304
 
8.9%
o 298
 
8.7%
a 256
 
7.5%
n 246
 
7.2%
t 236
 
6.9%
r 182
 
5.3%
s 179
 
5.2%
l 149
 
4.4%
c 124
 
3.6%
Other values (39) 1134
33.1%
Common
ValueCountFrequency (%)
598
92.0%
- 19
 
2.9%
( 6
 
0.9%
) 6
 
0.9%
7 4
 
0.6%
/ 3
 
0.5%
5 3
 
0.5%
1 2
 
0.3%
, 2
 
0.3%
6 2
 
0.3%
Other values (5) 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4073
92.4%
Hangul 333
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
598
14.7%
e 315
 
7.7%
i 304
 
7.5%
o 298
 
7.3%
a 256
 
6.3%
n 246
 
6.0%
t 236
 
5.8%
r 182
 
4.5%
s 179
 
4.4%
l 149
 
3.7%
Other values (54) 1310
32.2%
Hangul
ValueCountFrequency (%)
에 11
 
3.3%
의 10
 
3.0%
성 9
 
2.7%
과 7
 
2.1%
용 7
 
2.1%
제 7
 
2.1%
한 6
 
1.8%
식 6
 
1.8%
영 6
 
1.8%
서 6
 
1.8%
Other values (122) 258
77.5%

학술발표자
Text

Distinct44
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T12:29:14.478552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length9.4528302
Min length3

Characters and Unicode

Total characters501
Distinct characters109
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)69.8%

Sample

1st row김경진
2nd row안인,이인애,권민
3rd row정다진솔
4th row정다진솔
5th row이우도, 코타리 다미니, 김웅래, 김주희, 김수기
ValueCountFrequency (%)
김동구 4
 
3.9%
조우재 3
 
2.9%
고경보 3
 
2.9%
lavanya 3
 
2.9%
류연철 3
 
2.9%
김솔지 3
 
2.9%
김광흔 3
 
2.9%
김동균 3
 
2.9%
su-min 3
 
2.9%
madhavaraj 3
 
2.9%
Other values (57) 72
69.9%
2023-12-12T12:29:14.971287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
10.0%
, 34
 
6.8%
김 25
 
5.0%
a 23
 
4.6%
n 19
 
3.8%
o 16
 
3.2%
e 15
 
3.0%
동 11
 
2.2%
i 10
 
2.0%
- 9
 
1.8%
Other values (99) 289
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 222
44.3%
Lowercase Letter 135
26.9%
Uppercase Letter 51
 
10.2%
Space Separator 50
 
10.0%
Other Punctuation 34
 
6.8%
Dash Punctuation 9
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
11.3%
동 11
 
5.0%
연 9
 
4.1%
이 7
 
3.2%
정 6
 
2.7%
경 6
 
2.7%
우 6
 
2.7%
미 5
 
2.3%
솔 5
 
2.3%
진 5
 
2.3%
Other values (62) 137
61.7%
Uppercase Letter
ValueCountFrequency (%)
M 7
13.7%
S 7
13.7%
H 6
11.8%
L 5
9.8%
J 4
7.8%
A 4
7.8%
W 3
 
5.9%
B 3
 
5.9%
C 2
 
3.9%
D 2
 
3.9%
Other values (8) 8
15.7%
Lowercase Letter
ValueCountFrequency (%)
a 23
17.0%
n 19
14.1%
o 16
11.9%
e 15
11.1%
i 10
7.4%
g 8
 
5.9%
y 8
 
5.9%
u 7
 
5.2%
k 6
 
4.4%
v 5
 
3.7%
Other values (6) 18
13.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 222
44.3%
Latin 186
37.1%
Common 93
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
11.3%
동 11
 
5.0%
연 9
 
4.1%
이 7
 
3.2%
정 6
 
2.7%
경 6
 
2.7%
우 6
 
2.7%
미 5
 
2.3%
솔 5
 
2.3%
진 5
 
2.3%
Other values (62) 137
61.7%
Latin
ValueCountFrequency (%)
a 23
 
12.4%
n 19
 
10.2%
o 16
 
8.6%
e 15
 
8.1%
i 10
 
5.4%
g 8
 
4.3%
y 8
 
4.3%
M 7
 
3.8%
u 7
 
3.8%
S 7
 
3.8%
Other values (24) 66
35.5%
Common
ValueCountFrequency (%)
50
53.8%
, 34
36.6%
- 9
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 279
55.7%
Hangul 222
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
17.9%
, 34
 
12.2%
a 23
 
8.2%
n 19
 
6.8%
o 16
 
5.7%
e 15
 
5.4%
i 10
 
3.6%
- 9
 
3.2%
g 8
 
2.9%
y 8
 
2.9%
Other values (27) 87
31.2%
Hangul
ValueCountFrequency (%)
김 25
 
11.3%
동 11
 
5.0%
연 9
 
4.1%
이 7
 
3.2%
정 6
 
2.7%
경 6
 
2.7%
우 6
 
2.7%
미 5
 
2.3%
솔 5
 
2.3%
진 5
 
2.3%
Other values (62) 137
61.7%

학술발표일자
Date

Distinct29
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2020-01-02 00:00:00
Maximum2020-12-01 00:00:00
2023-12-12T12:29:15.140839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:29:15.301934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

Interactions

2023-12-12T12:29:10.489446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:29:15.431891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제관리번호과제명연구책임자학술회의명학술발표제목학술발표자학술발표일자
번호1.0000.9810.9810.9740.9460.8570.9810.863
과제관리번호0.9811.0001.0001.0000.9930.9781.0000.966
과제명0.9811.0001.0001.0000.9930.9781.0000.966
연구책임자0.9741.0001.0001.0000.9961.0001.0000.974
학술회의명0.9460.9930.9930.9961.0000.9970.9611.000
학술발표제목0.8570.9780.9781.0000.9971.0000.9691.000
학술발표자0.9811.0001.0001.0000.9610.9691.0000.877
학술발표일자0.8630.9660.9660.9741.0001.0000.8771.000
2023-12-12T12:29:15.588972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제명과제관리번호연구책임자
과제명1.0001.0000.983
과제관리번호1.0001.0000.983
연구책임자0.9830.9831.000
2023-12-12T12:29:15.723795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제관리번호과제명연구책임자
번호1.0000.7250.7250.713
과제관리번호0.7251.0001.0000.983
과제명0.7251.0001.0000.983
연구책임자0.7130.9830.9831.000

Missing values

2023-12-12T12:29:10.662074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:29:10.892055image/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

번호분류과제관리번호과제명연구책임자학술회의명학술발표제목학술발표자학술발표일자
01축산117030-3유단백질 고함유 우유생산을 위한 젖소에서의 필수아미노산의 이용성 증진연구문준옥European Federation of Animal Science Annual MeetingEffects of a combination of rumen-protected amino acids prototypes on performance of Holstein cows김경진2020-12-01
12축산117114-1기능성 식물정유 활용 닭진드기 친환경살비제 소재개발 및 제형화안인2020년 정기총회 및 추계학술발표회 개최안내(e-conference)식물추출물과 식물성정유 혼합제를 이용한 산란계진드기 친환경방제제 개발안인,이인애,권민2020-11-05
23축산118016-3ICT 기반 젖소 육성우 전문 목장 동물복지 강화 및 환경제어 시스템 개발백명기2020 ASAS-CSAS-WSASAS Virtual Annual Meeting and Trade ShowEffects of regrouping and administrations of meloxicam and chromium on plasma cortisol concentrations and behaviors in dairy calves정다진솔2020-07-21
34축산118016-3ICT 기반 젖소 육성우 전문 목장 동물복지 강화 및 환경제어 시스템 개발백명기2020 한국축산학회 학술발표회Holstein 임신우의 수송과 비타민E와 셀레늄 복합 경구투여가 혈중 백혈구 세포에 미치는 영향정다진솔2020-08-28
45축산118051-3가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화김수기한국축산학회Dietary supplementation of fermented Chinese chives improves the meat color and gut microbiota composition in broilers이우도, 코타리 다미니, 김웅래, 김주희, 김수기2020-08-28
56축산118051-3가금의 주요 질병방제에 효과적인 광범위 항균/항AI 활성 함유 부추사료첨가제의 상품화김수기한국생명과학회LC-MS/MS based metabolomic analysis of compositional changes in Chinese chives (Allium tuberosum) following Lactobacillus plantarum mediated control이우도, 코타리 다미니, 김수기2020-08-07
67축산120034-1소 성조절 단백질 부착 마그네틱 비즈를 이용한 정자 분리기술 개발과 수정란 생산 키트 개발김동구2020년 한국동물생명공학회Effect of new bovine sperm sexing monoclonal antibody protein조소연,박춘근, 김동구2020-08-20
78축산120066-1우량 한우 암컷 수정란 생산기술 개발공일근한국동물생명공학회Additional supplementary cytoplasm enhances telomeric DNA quantity and improves development competence of cloned embryos from aged donor cows이경림2020-08-10
89축산297061-4Paraquat내성 신품종 목초의 개발과 Paraquat내성 유전자의 발현조절조진기International Symposium for the 40th Anniversary of KSACBChemicals-Mediated Remediation of Soil Contaminated with Herbicide ParaquatHyum-Ju Park, Jang-Ek Kim2020-01-02
910축산312062-5말 유래 줄기세포 확립 및 활용기술 개발정규식한국수의병리학회Fibroma with osseous metaplasia in a canine ear canalSu-Min Baek2020-10-30
번호분류과제관리번호과제명연구책임자학술회의명학술발표제목학술발표자학술발표일자
4344축산817024-3소 정자 특이 결합 단백질을 이용한 선택적 성 조절용 제품 및 정액 생산김동구2020년 한국동물생명공학회 정기학술대회Analysis of sex ratio on bovine in vitro fertilized embryos using frozen sperm treated by sex determiation kit엄상준, 허영태, 윤동민, 김동구2020-08-20
4445축산817024-3소 정자 특이 결합 단백질을 이용한 선택적 성 조절용 제품 및 정액 생산김동구2020년 한국동물생명공학회 정기학술대회Effect of new bovine sperm sexing monoclonal antibody protein조소연, 박춘근, 김동구2020-08-20
4546축산819001-2농후 배합 사료의 효율 증대를 위한 단백질 분해력이 우수한 미생물 첨가제의 효능 규명 및 적용 방법 개발하병덕2020 ASAS Midwest sectionDietary supplementation of Bacillus licheniformis derived-protease increased the digestibility of dry matter and crude protein in pigs석우정2020-03-03
4647축산819027-1지속 가능한 축산을 위한 돼지 번식능력 향상 광응용기술 연구이원유한국생명과학회The Irradiation Effect of Multi-wavelength Visible박미정2020-08-07
4748축산918001-4유용 미생물 및 유전체 정보를 활용한 양돈장 악취개선 기능성 미생물제제 개발강정선한국축산학회 종합심포지엄 및 학술대회Influence of the efficacy of a probiotic complex containing Bacillus subtilis and Pichia farinosa, on the growth performence and fecal microbiota of f송주호2020-08-28
4849축산918001-4유용 미생물 및 유전체 정보를 활용한 양돈장 악취개선 기능성 미생물제제 개발강정선한국미생물생명공학회 정기학술대회Characterization of Bifunctional Alcohol/Aldehyde Dehydrogenesase from Lactobacillus fermentum SK152 Isolated from Kimchi아모란토 미아2020-09-23
4950축산918002-4반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선한국미생물학회Probiotics roles (CACC517) on the modulation of gut microbiota for the healthy and IBD dogs신동현2020-10-07
5051축산918002-4반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선2020 한국축산학회 종합심포지엄 및 학술발표회Characterization of probiotic strains isolated from dog feces장현준2020-08-27
5152축산918002-4반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선2020 KSBB Fall Meeting and International Symposium: Hybrid ConferenceGenome analysis of Bacteroides sp. CACC 737 isolated from feline for its potential application김정애2020-10-21
5253축산918002-4반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선세계미생물학회연합Probiotics roles (CACC566) on the modulation of gut microbiota for the healthy and IBD dogs신동현2020-11-16