Overview

Dataset statistics

Number of variables9
Number of observations153
Missing cells9
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory73.9 B

Variable types

Numeric1
Categorical4
Text3
DateTime1

Dataset

Description2018년 종료 농림식품 축산 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15048159/fileData.do

Alerts

분류 has constant value ""Constant
과제명 is highly overall correlated with 과제번호 and 1 other fieldsHigh correlation
과제번호 is highly overall correlated with 과제명 and 1 other fieldsHigh correlation
연구책임자 is highly overall correlated with 과제번호 and 1 other fieldsHigh correlation
저자 has 9 (5.9%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:08:01.349268
Analysis finished2023-12-12 01:08:02.657776
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77
Minimum1
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T10:08:02.744525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.6
Q139
median77
Q3115
95-th percentile145.4
Maximum153
Range152
Interquartile range (IQR)76

Descriptive statistics

Standard deviation44.311398
Coefficient of variation (CV)0.5754727
Kurtosis-1.2
Mean77
Median Absolute Deviation (MAD)38
Skewness0
Sum11781
Variance1963.5
MonotonicityStrictly increasing
2023-12-12T10:08:02.957953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (143) 143
93.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
153 1
0.7%
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
축산
153 

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 153
100.0%

Length

2023-12-12T10:08:03.158834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:03.282873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산 153
100.0%

과제번호
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
715003-7
31 
315017-5
28 
313012-5
25 
316002-5
11 
116172-3
8 
Other values (22)
50 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique11 ?
Unique (%)7.2%

Sample

1st row313012-5
2nd row313012-5
3rd row313012-5
4th row313012-5
5th row313012-5

Common Values

ValueCountFrequency (%)
715003-7 31
20.3%
315017-5 28
18.3%
313012-5 25
16.3%
316002-5 11
 
7.2%
116172-3 8
 
5.2%
316024-3 7
 
4.6%
315022-3 5
 
3.3%
117029-3 5
 
3.3%
916004-2 4
 
2.6%
316029-3 4
 
2.6%
Other values (17) 25
16.3%

Length

2023-12-12T10:08:03.416610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
715003-7 31
20.3%
315017-5 28
18.3%
313012-5 25
16.3%
316002-5 11
 
7.2%
116172-3 8
 
5.2%
316024-3 7
 
4.6%
315022-3 5
 
3.3%
117029-3 5
 
3.3%
916004-2 4
 
2.6%
316029-3 4
 
2.6%
Other values (17) 25
16.3%

과제명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
제주흑우 대량증식 및 산업화
31 
한우특성화사업단
28 
수출전략형 흑돼지의 산자수 증대 기술 개발
25 
검역기술 고도화를 위한 스마트 탐지견 개발
11 
돼지에서 정자 전사체 마커를 활용한 산자수 향상 기술 개발
8 
Other values (22)
50 

Length

Max length70
Median length47
Mean length22.993464
Min length8

Unique

Unique11 ?
Unique (%)7.2%

Sample

1st row수출전략형 흑돼지의 산자수 증대 기술 개발
2nd row수출전략형 흑돼지의 산자수 증대 기술 개발
3rd row수출전략형 흑돼지의 산자수 증대 기술 개발
4th row수출전략형 흑돼지의 산자수 증대 기술 개발
5th row수출전략형 흑돼지의 산자수 증대 기술 개발

Common Values

ValueCountFrequency (%)
제주흑우 대량증식 및 산업화 31
20.3%
한우특성화사업단 28
18.3%
수출전략형 흑돼지의 산자수 증대 기술 개발 25
16.3%
검역기술 고도화를 위한 스마트 탐지견 개발 11
 
7.2%
돼지에서 정자 전사체 마커를 활용한 산자수 향상 기술 개발 8
 
5.2%
가축분뇨 통합 운영프로그램 구축 7
 
4.6%
사료비 절감, 사료자급률 개선을 위한 사료 대체원료 및 재조합 인공사료 개발 5
 
3.3%
산업화 적용위한 OPU유래 수정란이식 전주기 관련기술 개발 5
 
3.3%
미생물 유전체 정보 활용 돼지 만·급성 설사증상 조절 면역증강제 개발 4
 
2.6%
도축 부산물의 처리 및 신소재 가공기술 개발 4
 
2.6%
Other values (17) 25
16.3%

Length

2023-12-12T10:08:03.621147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발 75
 
8.5%
및 55
 
6.2%
산업화 36
 
4.1%
기술 34
 
3.9%
산자수 33
 
3.8%
제주흑우 31
 
3.5%
대량증식 31
 
3.5%
한우특성화사업단 28
 
3.2%
수출전략형 26
 
3.0%
흑돼지의 25
 
2.8%
Other values (165) 506
57.5%

연구책임자
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
박세필
31 
이정규
28 
김철욱
25 
이병천
11 
방명걸
8 
Other values (21)
50 

Length

Max length3
Median length3
Mean length2.9934641
Min length2

Unique

Unique9 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
박세필 31
20.3%
이정규 28
18.3%
김철욱 25
16.3%
이병천 11
 
7.2%
방명걸 8
 
5.2%
이명규 7
 
4.6%
추교문 5
 
3.3%
공일근 5
 
3.3%
박병철 4
 
2.6%
고경철 4
 
2.6%
Other values (16) 25
16.3%

Length

2023-12-12T10:08:03.782714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
박세필 31
20.3%
이정규 28
18.3%
김철욱 25
16.3%
이병천 11
 
7.2%
방명걸 8
 
5.2%
이명규 7
 
4.6%
추교문 5
 
3.3%
공일근 5
 
3.3%
박병철 4
 
2.6%
고경철 4
 
2.6%
Other values (16) 25
16.3%

논문명
Text

Distinct150
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T10:08:04.196581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length198
Median length124
Mean length100.31373
Min length15

Characters and Unicode

Total characters15348
Distinct characters235
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

Unique147 ?
Unique (%)96.1%

Sample

1st rowStructural improtance of the C-terminal region in pig aldo-keto reductase family 1 member C1 and their effeccts on enzymatic activity
2nd rowSelection of appropriate reference genes for RT-qPCR analysis in Berkshire, Duroc, Landrace, and Yorkshire pigs
3rd rowMolecular characterization of porcine PGM1 gene associated with meat quality traits
4th rowSingle-nucleotide polymorphisms in pig EPHX1 gene are associated with pork quality traits
5th rowProteomic analysis of reproduction proteins involved in litter size from porcine placenta
ValueCountFrequency (%)
of 136
 
6.3%
in 89
 
4.1%
and 86
 
4.0%
the 44
 
2.0%
on 30
 
1.4%
a 26
 
1.2%
quality 25
 
1.2%
cells 22
 
1.0%
with 19
 
0.9%
vitro 18
 
0.8%
Other values (953) 1671
77.1%
2023-12-12T10:08:04.895308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2013
 
13.1%
e 1322
 
8.6%
i 1083
 
7.1%
o 1025
 
6.7%
n 973
 
6.3%
t 961
 
6.3%
a 923
 
6.0%
r 733
 
4.8%
s 669
 
4.4%
l 582
 
3.8%
Other values (225) 5064
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11803
76.9%
Space Separator 2013
 
13.1%
Uppercase Letter 733
 
4.8%
Other Letter 529
 
3.4%
Decimal Number 95
 
0.6%
Dash Punctuation 75
 
0.5%
Other Punctuation 70
 
0.5%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 22
 
4.2%
성 15
 
2.8%
가 13
 
2.5%
에 13
 
2.5%
한 11
 
2.1%
분 11
 
2.1%
질 10
 
1.9%
사 10
 
1.9%
효 9
 
1.7%
발 9
 
1.7%
Other values (151) 406
76.7%
Lowercase Letter
ValueCountFrequency (%)
e 1322
11.2%
i 1083
 
9.2%
o 1025
 
8.7%
n 973
 
8.2%
t 961
 
8.1%
a 923
 
7.8%
r 733
 
6.2%
s 669
 
5.7%
l 582
 
4.9%
c 528
 
4.5%
Other values (18) 3004
25.5%
Uppercase Letter
ValueCountFrequency (%)
C 80
 
10.9%
S 65
 
8.9%
P 63
 
8.6%
M 56
 
7.6%
E 52
 
7.1%
A 42
 
5.7%
H 42
 
5.7%
B 38
 
5.2%
I 36
 
4.9%
T 35
 
4.8%
Other values (15) 224
30.6%
Decimal Number
ValueCountFrequency (%)
1 31
32.6%
2 13
13.7%
3 13
13.7%
4 11
 
11.6%
5 10
 
10.5%
9 6
 
6.3%
0 5
 
5.3%
8 3
 
3.2%
7 2
 
2.1%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 52
74.3%
: 7
 
10.0%
. 7
 
10.0%
/ 3
 
4.3%
' 1
 
1.4%
Space Separator
ValueCountFrequency (%)
2013
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Currency Symbol
ValueCountFrequency (%)
€ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12534
81.7%
Common 2283
 
14.9%
Hangul 529
 
3.4%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 22
 
4.2%
성 15
 
2.8%
가 13
 
2.5%
에 13
 
2.5%
한 11
 
2.1%
분 11
 
2.1%
질 10
 
1.9%
사 10
 
1.9%
효 9
 
1.7%
발 9
 
1.7%
Other values (151) 406
76.7%
Latin
ValueCountFrequency (%)
e 1322
 
10.5%
i 1083
 
8.6%
o 1025
 
8.2%
n 973
 
7.8%
t 961
 
7.7%
a 923
 
7.4%
r 733
 
5.8%
s 669
 
5.3%
l 582
 
4.6%
c 528
 
4.2%
Other values (41) 3735
29.8%
Common
ValueCountFrequency (%)
2013
88.2%
- 75
 
3.3%
, 52
 
2.3%
1 31
 
1.4%
2 13
 
0.6%
3 13
 
0.6%
( 12
 
0.5%
) 12
 
0.5%
4 11
 
0.5%
5 10
 
0.4%
Other values (11) 41
 
1.8%
Greek
ValueCountFrequency (%)
ζ 1
50.0%
β 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14816
96.5%
Hangul 529
 
3.4%
None 2
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2013
13.6%
e 1322
 
8.9%
i 1083
 
7.3%
o 1025
 
6.9%
n 973
 
6.6%
t 961
 
6.5%
a 923
 
6.2%
r 733
 
4.9%
s 669
 
4.5%
l 582
 
3.9%
Other values (61) 4532
30.6%
Hangul
ValueCountFrequency (%)
의 22
 
4.2%
성 15
 
2.8%
가 13
 
2.5%
에 13
 
2.5%
한 11
 
2.1%
분 11
 
2.1%
질 10
 
1.9%
사 10
 
1.9%
효 9
 
1.7%
발 9
 
1.7%
Other values (151) 406
76.7%
None
ValueCountFrequency (%)
ζ 1
50.0%
β 1
50.0%
Currency Symbols
ValueCountFrequency (%)
€ 1
100.0%

학술지 게재일자
Date

Distinct125
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2015-01-02 00:00:00
Maximum2018-12-01 00:00:00
2023-12-12T10:08:05.091960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:05.304730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct139
Distinct (%)96.5%
Missing9
Missing (%)5.9%
Memory size1.3 KiB
2023-12-12T10:08:05.780584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length312
Median length173.5
Mean length117.53472
Min length9

Characters and Unicode

Total characters16925
Distinct characters224
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

Unique135 ?
Unique (%)93.8%

Sample

1st rowMinky Son,Chanin Park; Seul Gi Kwon; Woo Young Bang; Sam Woong Kim; Chul Wook Kim; Keun Woo Lee
2nd rowSang-je Park,Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Chul Wook Kim
3rd rowJung Hye Hwang,Seul Gi Kwon; Da Hye Park; Tae Wan Kim; Deok Gyeong Kang; Jeongim Ha; Sam Woong Kim; Chul Wook Kim
4th rowHwak Rae Cho,Jeongim Ha; Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Hak-Kyo Lee; Ki-Duk Song; Sam Woong Kim; Chul Wook Kim
5th rowLee DG,Nam J; Kim SW; Kang YM; An HJ; Kim CW; Choi JS
ValueCountFrequency (%)
998
26.5%
공저자 634
16.8%
주저자 183
 
4.9%
교신(책임)저자 167
 
4.4%
kim 90
 
2.4%
lee 68
 
1.8%
park 48
 
1.3%
choi 25
 
0.7%
kang 23
 
0.6%
박다혜 18
 
0.5%
Other values (671) 1514
40.2%
2023-12-12T10:08:06.469187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3633
21.5%
자 986
 
5.8%
저 984
 
5.8%
: 984
 
5.8%
, 899
 
5.3%
n 742
 
4.4%
공 641
 
3.8%
o 567
 
3.4%
e 443
 
2.6%
a 435
 
2.6%
Other values (214) 6611
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4853
28.7%
Lowercase Letter 4256
25.1%
Space Separator 3633
21.5%
Other Punctuation 1956
11.6%
Uppercase Letter 1660
 
9.8%
Dash Punctuation 232
 
1.4%
Close Punctuation 167
 
1.0%
Open Punctuation 167
 
1.0%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 986
20.3%
저 984
20.3%
공 641
13.2%
주 197
 
4.1%
임 197
 
4.1%
신 175
 
3.6%
교 169
 
3.5%
책 167
 
3.4%
김 101
 
2.1%
정 70
 
1.4%
Other values (154) 1166
24.0%
Lowercase Letter
ValueCountFrequency (%)
n 742
17.4%
o 567
13.3%
e 443
10.4%
a 435
10.2%
g 358
8.4%
u 357
8.4%
i 327
7.7%
h 188
 
4.4%
y 149
 
3.5%
m 149
 
3.5%
Other values (16) 541
12.7%
Uppercase Letter
ValueCountFrequency (%)
S 220
13.3%
K 208
12.5%
H 184
11.1%
J 175
10.5%
M 114
 
6.9%
Y 113
 
6.8%
C 94
 
5.7%
L 82
 
4.9%
P 72
 
4.3%
W 52
 
3.1%
Other values (15) 346
20.8%
Other Punctuation
ValueCountFrequency (%)
: 984
50.3%
, 899
46.0%
. 42
 
2.1%
; 31
 
1.6%
Space Separator
ValueCountFrequency (%)
3633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6156
36.4%
Latin 5916
35.0%
Hangul 4853
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 986
20.3%
저 984
20.3%
공 641
13.2%
주 197
 
4.1%
임 197
 
4.1%
신 175
 
3.6%
교 169
 
3.5%
책 167
 
3.4%
김 101
 
2.1%
정 70
 
1.4%
Other values (154) 1166
24.0%
Latin
ValueCountFrequency (%)
n 742
 
12.5%
o 567
 
9.6%
e 443
 
7.5%
a 435
 
7.4%
g 358
 
6.1%
u 357
 
6.0%
i 327
 
5.5%
S 220
 
3.7%
K 208
 
3.5%
h 188
 
3.2%
Other values (41) 2071
35.0%
Common
ValueCountFrequency (%)
3633
59.0%
: 984
 
16.0%
, 899
 
14.6%
- 232
 
3.8%
) 167
 
2.7%
( 167
 
2.7%
. 42
 
0.7%
; 31
 
0.5%
= 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12072
71.3%
Hangul 4853
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3633
30.1%
: 984
 
8.2%
, 899
 
7.4%
n 742
 
6.1%
o 567
 
4.7%
e 443
 
3.7%
a 435
 
3.6%
g 358
 
3.0%
u 357
 
3.0%
i 327
 
2.7%
Other values (50) 3327
27.6%
Hangul
ValueCountFrequency (%)
자 986
20.3%
저 984
20.3%
공 641
13.2%
주 197
 
4.1%
임 197
 
4.1%
신 175
 
3.6%
교 169
 
3.5%
책 167
 
3.4%
김 101
 
2.1%
정 70
 
1.4%
Other values (154) 1166
24.0%

학술지명
Text

Distinct115
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T10:08:06.821201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length43
Mean length30.071895
Min length3

Characters and Unicode

Total characters4601
Distinct characters100
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

Unique92 ?
Unique (%)60.1%

Sample

1st rowBMC structural biology
2nd rowGene
3rd rowCanadian J. of animal science
4th rowAnimal biotechnology
5th rowBiosci, Biotechnol. Biochem
ValueCountFrequency (%)
of 64
 
10.4%
journal 59
 
9.6%
science 39
 
6.3%
animal 35
 
5.7%
23
 
3.7%
and 20
 
3.3%
korean 17
 
2.8%
food 15
 
2.4%
for 13
 
2.1%
resources 13
 
2.1%
Other values (149) 317
51.5%
2023-12-12T10:08:07.429388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
 
10.1%
e 377
 
8.2%
o 363
 
7.9%
n 335
 
7.3%
a 294
 
6.4%
i 282
 
6.1%
r 273
 
5.9%
l 228
 
5.0%
c 220
 
4.8%
s 182
 
4.0%
Other values (90) 1581
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3377
73.4%
Uppercase Letter 487
 
10.6%
Space Separator 466
 
10.1%
Other Letter 212
 
4.6%
Other Punctuation 32
 
0.7%
Math Symbol 17
 
0.4%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 20
 
9.4%
회 17
 
8.0%
국 17
 
8.0%
한 17
 
8.0%
지 16
 
7.5%
식 13
 
6.1%
산 11
 
5.2%
축 9
 
4.2%
품 9
 
4.2%
과 7
 
3.3%
Other values (33) 76
35.8%
Lowercase Letter
ValueCountFrequency (%)
e 377
11.2%
o 363
10.7%
n 335
9.9%
a 294
8.7%
i 282
8.4%
r 273
8.1%
l 228
 
6.8%
c 220
 
6.5%
s 182
 
5.4%
t 148
 
4.4%
Other values (16) 675
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 75
15.4%
R 43
 
8.8%
S 42
 
8.6%
J 41
 
8.4%
E 25
 
5.1%
O 25
 
5.1%
C 24
 
4.9%
I 23
 
4.7%
K 22
 
4.5%
N 20
 
4.1%
Other values (14) 147
30.2%
Other Punctuation
ValueCountFrequency (%)
. 15
46.9%
, 9
28.1%
& 6
 
18.8%
: 2
 
6.2%
Space Separator
ValueCountFrequency (%)
466
100.0%
Math Symbol
ValueCountFrequency (%)
= 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3864
84.0%
Common 525
 
11.4%
Hangul 194
 
4.2%
Han 18
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 377
 
9.8%
o 363
 
9.4%
n 335
 
8.7%
a 294
 
7.6%
i 282
 
7.3%
r 273
 
7.1%
l 228
 
5.9%
c 220
 
5.7%
s 182
 
4.7%
t 148
 
3.8%
Other values (40) 1162
30.1%
Hangul
ValueCountFrequency (%)
학 20
 
10.3%
회 17
 
8.8%
국 17
 
8.8%
한 17
 
8.8%
지 16
 
8.2%
식 13
 
6.7%
산 11
 
5.7%
축 9
 
4.6%
품 9
 
4.6%
과 7
 
3.6%
Other values (25) 58
29.9%
Han
ValueCountFrequency (%)
學 4
22.2%
州 2
11.1%
九 2
11.1%
要 2
11.1%
紀 2
11.1%
部 2
11.1%
農 2
11.1%
大 2
11.1%
Common
ValueCountFrequency (%)
466
88.8%
= 17
 
3.2%
. 15
 
2.9%
- 10
 
1.9%
, 9
 
1.7%
& 6
 
1.1%
: 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4389
95.4%
Hangul 194
 
4.2%
CJK 18
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
 
10.6%
e 377
 
8.6%
o 363
 
8.3%
n 335
 
7.6%
a 294
 
6.7%
i 282
 
6.4%
r 273
 
6.2%
l 228
 
5.2%
c 220
 
5.0%
s 182
 
4.1%
Other values (47) 1369
31.2%
Hangul
ValueCountFrequency (%)
학 20
 
10.3%
회 17
 
8.8%
국 17
 
8.8%
한 17
 
8.8%
지 16
 
8.2%
식 13
 
6.7%
산 11
 
5.7%
축 9
 
4.6%
품 9
 
4.6%
과 7
 
3.6%
Other values (25) 58
29.9%
CJK
ValueCountFrequency (%)
學 4
22.2%
州 2
11.1%
九 2
11.1%
要 2
11.1%
紀 2
11.1%
部 2
11.1%
農 2
11.1%
大 2
11.1%

Interactions

2023-12-12T10:08:02.087743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:08:07.570298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.0000.6200.6200.615
과제번호0.6201.0001.0001.000
과제명0.6201.0001.0001.000
연구책임자0.6151.0001.0001.000
2023-12-12T10:08:07.711586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제명과제번호연구책임자
과제명1.0001.0000.996
과제번호1.0001.0000.996
연구책임자0.9960.9961.000
2023-12-12T10:08:07.843472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.0000.2600.2600.258
과제번호0.2601.0001.0000.996
과제명0.2601.0001.0000.996
연구책임자0.2580.9960.9961.000

Missing values

2023-12-12T10:08:02.329273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:08:02.599504image/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

번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
01축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Structural improtance of the C-terminal region in pig aldo-keto reductase family 1 member C1 and their effeccts on enzymatic activity2015-01-13Minky Son,Chanin Park; Seul Gi Kwon; Woo Young Bang; Sam Woong Kim; Chul Wook Kim; Keun Woo LeeBMC structural biology
12축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Selection of appropriate reference genes for RT-qPCR analysis in Berkshire, Duroc, Landrace, and Yorkshire pigs2015-03-01Sang-je Park,Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Chul Wook KimGene
23축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Molecular characterization of porcine PGM1 gene associated with meat quality traits2015-01-02Jung Hye Hwang,Seul Gi Kwon; Da Hye Park; Tae Wan Kim; Deok Gyeong Kang; Jeongim Ha; Sam Woong Kim; Chul Wook KimCanadian J. of animal science
34축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Single-nucleotide polymorphisms in pig EPHX1 gene are associated with pork quality traits2015-04-30Hwak Rae Cho,Jeongim Ha; Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Hak-Kyo Lee; Ki-Duk Song; Sam Woong Kim; Chul Wook KimAnimal biotechnology
45축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Proteomic analysis of reproduction proteins involved in litter size from porcine placenta2015-05-02Lee DG,Nam J; Kim SW; Kang YM; An HJ; Kim CW; Choi JSBiosci, Biotechnol. Biochem
56축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Effects of LEP, GYS1, MYOD1, and MYF5 polymorphisms on pig economic traits2016-07-29주저자 : 박상제, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김삼웅, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 조확래, 공저자 : 하정임, 공저자 : 황정혜, 교신(책임)저자 : 김철욱Annals of animal science
67축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱MSK1 regulates RANKL-induced NFATc1 expression through CREB and c-Fos2015-06-15주저자 : 하정임, 공저자 : 강경희, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 황정혜, 교신(책임)저자 : 김철욱journal of biomedical research
78축산315017-5한우특성화사업단이정규OPU유래 수정란의 대량생산을 위한 고능력 공란우 반복사용 가능성에 관한 연구2015-09-23주저자 : 진종인, 공저자 : 김성수, 공저자 : 박번영, 공저자 : 이정규, 공저자 : 최병현, 교신(책임)저자 : 공일근한국수정란이식학회지
89축산315017-5한우특성화사업단이정규The Anti-M€ ullerian Hormone Pro le is Linked with the In Vitro Embryo Production Capacity and Embryo Viability after Transfer but Cannot Predict Pregnancy Outcome2016-02-04주저자 : 나써가남, 주저자 : 진종인, 공저자 : 김성수, 공저자 : 송석환, 공저자 : 이경림, 공저자 : 최병현, 공저자 : 하아나, 교신(책임)저자 : 공일근Reproduction in Domestic Animals
910축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Effects of a non-synonymous CBG gene single nucleotide polymorphism (SNP) on meat-quality traits in Berkshire pigs2016-03-31주저자 : 권슬기, 공저자 : 강경희, 공저자 : 강덕경, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 황정혜, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임CANADIAN JOURNAL OF ANIMAL SCIENCE
번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
143144축산315022-3사료비 절감, 사료자급률 개선을 위한 사료 대체원료 및 재조합 인공사료 개발추교문야자박과 팜박의 첨가 수준이 거세한우의 발육 및 도체특성에 미치는 영향2018-07-08주저자 : 박병기, 공저자 : 권응기, 공저자 : 김영수, 공저자 : 박중국, 공저자 : 서진교, 공저자 : 송금석, 공저자 : 안준상, 공저자 : 임환, 공저자 : 최욱진, 교신(책임)저자 : 신종서동물자원연구 = Annals of animal resource sciences
144145축산617077-5식용곤충을 활용한 프리미엄(휴먼그레이드)반려동물 간식 수출연구사업단조용훈Current status of the management of fall webworm, Hyphantria cunea: Towards the integrated pest management development2018-09-12주저자 : Tariku T. Edosa, 공저자 : Maryam Keshavarz, 공저자 : Yong Hun Jo, 공저자 : Young Sang Anh, 공저자 : Young Sang Anh, 교신(책임)저자 : Yeon Soo HanJournal of applied entomology
145146축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱association of single-nucleotide polymorphisms in nat9 and map3k3 genes with litter size traits in berkhsire pigs2018-10-02주저자 : 안상미, 주저자 : 황정혜, 공저자 : 강덕경, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 박화춘, 공저자 : 유고은, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임Archives Animal Breeding
146147축산715003-7제주흑우 대량증식 및 산업화박세필Suppression of hERG K+ current and cardiac action potential prolongation by 4-hydroxynonenal via dual mechanisms2018-08-24주저자 : Seong Woo Choi, 공저자 : Si Won Choi, 공저자 : Sung-Hwan Moon, 공저자 : Yin-Hua Zhang, 공저자 : Young Keul Jeon, 교신(책임)저자 : Sung Joon KimRedox Biology
147148축산715003-7제주흑우 대량증식 및 산업화박세필Safety and Optimization of Metabolic Labeling of Endothelial Progenitor Cells for Tracking.2018-09-04주저자 : Sang-Soo Han, 공저자 : Byoung-Chul Kim, 공저자 : Dong-Eun Lee, 공저자 : Hye-Eun Shim, 공저자 : Hyung-Min Chung, 공저자 : Soon-Jung Park, 공저자 : Sung-Hwan Moon, 교신(책임)저자 : Sun-Woong KangScientific Report
148149축산715003-7제주흑우 대량증식 및 산업화박세필Improved Transfection Efficiency and Metabolic Activity in Human Embryonic Stem Cell Using Non-Enzymatic Method2018-08-31주저자 : C-Yoon Kim, 주저자 : In-Kyu Hwang, 공저자 : Changhee Kang, 공저자 : Cho-Rok Jung, 공저자 : Eun-Bin Chung, 공저자 : Hanseul Oh, 공저자 : Jae-Hak Park, 공저자 : Jong Soo Kim, 공저자 : Ki-Sung Hong, 공저자 : Sung-Hwan Moon, 공저자 : Young-Hoon Jeong, 교신(책임)저자 : Hyung-Min ChungInternational Journal of Stem Cells
149150축산715003-7제주흑우 대량증식 및 산업화박세필The pharmacological inhibition of ERK5 enhances apoptosis in acute myeloid leukemia cells2018-08-31주저자 : Changhee Kang, 공저자 : C-Yoon Kim, 공저자 : Eun-Young Kim, 공저자 : Jong Soo Kim, 교신(책임)저자 : Hyung-Min ChungInternational Journal of Stem Cells
150151축산715003-7제주흑우 대량증식 및 산업화박세필Effects of a Novel p.A41P Mutation in the Swine Myogenic factor 5 (MYF5) Gene on Protein Stabilizing, Muscle Fiber Characteristics and Meat Quality2018-08-31주저자 : Chai, Han-Ha, 주저자 : Lee, Eun-A, 주저자 : Ryu, Youn-Chul, 공저자 : Park, Jong-Eun, 교신(책임)저자 : Kim, Jun-MoKorean journal for food science of animal resources = 한국축산식품학회지
151152축산315017-5한우특성화사업단이정규밤 발효사료 제조과정에서 미생물 첨가수준이 영양소 함량과 반추위 내 발효특성에 미치는 영향2018-05-01주저자 : 김동현, 공저자 : Paradhipta H. V. Dimas, 공저자 : 이성신, 공저자 : 이혁준, 공저자 : 주영호, 공저자 : 최낙진, 교신(책임)저자 : 김삼철Journal of environmental science international = 한국환경과학회지
152153축산316093-2구제역 백신 접종축 확인을 위한 표식인자개발이상길Physicochemical properties of줽articulate vaccine adjuvants: their pivotal role in줺odulating immune responses2018-08-01주저자 : 바스톨라 라케시, 교신(책임)저자 : 이상길Journal of Pharmaceutical Investigation