Overview

Dataset statistics

Number of variables9
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory76.5 B

Variable types

Numeric3
Categorical3
Text3

Dataset

Description농림식품 축산 R&D 논문정보의(과제번호, 과제명, 연구책임자, 논문명, 학술지 출판년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001354

Alerts

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

Reproduction

Analysis started2023-12-11 03:48:00.317581
Analysis finished2023-12-11 03:48:02.142786
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T12:48:02.212966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2023-12-11T12:48:02.554236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
축산
91 

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 91
100.0%

Length

2023-12-11T12:48:02.651226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:48:02.728665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산 91
100.0%

과제번호
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218545.8
Minimum1110475
Maximum3130423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T12:48:02.795687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1110475
5-th percentile1110475
Q11120154
median3120304
Q33120304
95-th percentile3130423
Maximum3130423
Range2019948
Interquartile range (IQR)2000150

Descriptive statistics

Standard deviation1004228.9
Coefficient of variation (CV)0.45265186
Kurtosis-2.0035925
Mean2218545.8
Median Absolute Deviation (MAD)10119
Skewness-0.20212359
Sum2.0188767 × 108
Variance1.0084757 × 1012
MonotonicityIncreasing
2023-12-11T12:48:02.889480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3120304 37
40.7%
1120154 22
24.2%
1110475 12
 
13.2%
3130423 8
 
8.8%
1110555 7
 
7.7%
3130013 5
 
5.5%
ValueCountFrequency (%)
1110475 12
 
13.2%
1110555 7
 
7.7%
1120154 22
24.2%
3120304 37
40.7%
3130013 5
 
5.5%
3130423 8
 
8.8%
ValueCountFrequency (%)
3130423 8
 
8.8%
3130013 5
 
5.5%
3120304 37
40.7%
1120154 22
24.2%
1110555 7
 
7.7%
1110475 12
 
13.2%

과제명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size860.0 B
반추동물의 탄소배출 저감형 사료첨가제 개발
37 
정소유래 세포성니쉬를 활용한 돼지 형질전환 정원줄기세포유래 생식세포 생산 및 형질전환동물 생산
22 
돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양
12 
원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발
8 
형질전환 기술을 이용한 애완용 소형 닭의 생산
7 

Length

Max length87
Median length52
Mean length40.835165
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양
2nd row돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양
3rd row돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양
4th row돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양
5th row돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양

Common Values

ValueCountFrequency (%)
반추동물의 탄소배출 저감형 사료첨가제 개발 37
40.7%
정소유래 세포성니쉬를 활용한 돼지 형질전환 정원줄기세포유래 생식세포 생산 및 형질전환동물 생산 22
24.2%
돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양 12
 
13.2%
원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발 8
 
8.8%
형질전환 기술을 이용한 애완용 소형 닭의 생산 7
 
7.7%
FTA 대응 사료비 절감 및 생산성 향상을 위한 양돈 사양시스템 개발 5
 
5.5%

Length

2023-12-11T12:48:03.007593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:48:03.102071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산 51
 
6.0%
돼지 46
 
5.4%
개발 42
 
4.9%
반추동물의 37
 
4.3%
저감형 37
 
4.3%
사료첨가제 37
 
4.3%
탄소배출 37
 
4.3%
및 35
 
4.1%
형질전환 29
 
3.4%
형질전환동물 22
 
2.6%
Other values (46) 482
56.4%

연구책임자
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size860.0 B
장문백
37 
이승태
22 
김진회
12 
김원중
8 
김태완
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장문백 37
40.7%
이승태 22
24.2%
김진회 12
 
13.2%
김원중 8
 
8.8%
김태완 7
 
7.7%
김유용 5
 
5.5%

Length

2023-12-11T12:48:03.241173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:48:03.346184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장문백 37
40.7%
이승태 22
24.2%
김진회 12
 
13.2%
김원중 8
 
8.8%
김태완 7
 
7.7%
김유용 5
 
5.5%

논문명
Text

Distinct86
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T12:48:03.575706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length131
Mean length106.75824
Min length25

Characters and Unicode

Total characters9715
Distinct characters225
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)89.0%

Sample

1st rowPartial loss of interleukin 2 receptor gamma function in pigs provides mechanistic insights for the study of human
2nd rowThe effects of artificial activation timing on the development of SCNT-derived embryos and newborn piglets
3rd rowEpigenetic reprogramming in somatic cells induced by extract from germinal vesicle stage pig oocytes
4th rowGrowth and Replication of Infectious Bursal Disease Virus in the DF-1 Cell Line and Chicken Embryo Fibroblasts
5th rowNew glycosidic constituents from fruits of Lycium chinense and their antioxidant activities
ValueCountFrequency (%)
of 92
 
6.7%
in 63
 
4.6%
and 50
 
3.6%
on 32
 
2.3%
the 29
 
2.1%
vitro 27
 
2.0%
effects 22
 
1.6%
cells 17
 
1.2%
fermentation 16
 
1.2%
characteristics 12
 
0.9%
Other values (594) 1010
73.7%
2023-12-11T12:48:03.995504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1279
 
13.2%
e 832
 
8.6%
i 707
 
7.3%
n 692
 
7.1%
t 678
 
7.0%
a 578
 
5.9%
o 558
 
5.7%
r 470
 
4.8%
s 372
 
3.8%
l 348
 
3.6%
Other values (215) 3201
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7212
74.2%
Space Separator 1279
 
13.2%
Other Letter 582
 
6.0%
Uppercase Letter 551
 
5.7%
Dash Punctuation 42
 
0.4%
Other Punctuation 29
 
0.3%
Decimal Number 8
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 21
 
3.6%
의 18
 
3.1%
사 15
 
2.6%
성 14
 
2.4%
유 14
 
2.4%
발 12
 
2.1%
물 12
 
2.1%
효 11
 
1.9%
이 11
 
1.9%
및 10
 
1.7%
Other values (152) 444
76.3%
Lowercase Letter
ValueCountFrequency (%)
e 832
11.5%
i 707
9.8%
n 692
9.6%
t 678
9.4%
a 578
 
8.0%
o 558
 
7.7%
r 470
 
6.5%
s 372
 
5.2%
l 348
 
4.8%
c 332
 
4.6%
Other values (17) 1645
22.8%
Uppercase Letter
ValueCountFrequency (%)
C 66
12.0%
E 57
10.3%
M 51
 
9.3%
D 43
 
7.8%
S 42
 
7.6%
A 34
 
6.2%
P 34
 
6.2%
R 32
 
5.8%
F 31
 
5.6%
I 26
 
4.7%
Other values (15) 135
24.5%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
3 2
25.0%
2 2
25.0%
7 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 25
86.2%
. 2
 
6.9%
: 2
 
6.9%
Space Separator
ValueCountFrequency (%)
1279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7762
79.9%
Common 1370
 
14.1%
Hangul 580
 
6.0%
Han 2
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 21
 
3.6%
의 18
 
3.1%
사 15
 
2.6%
성 14
 
2.4%
유 14
 
2.4%
발 12
 
2.1%
물 12
 
2.1%
효 11
 
1.9%
이 11
 
1.9%
및 10
 
1.7%
Other values (150) 442
76.2%
Latin
ValueCountFrequency (%)
e 832
 
10.7%
i 707
 
9.1%
n 692
 
8.9%
t 678
 
8.7%
a 578
 
7.4%
o 558
 
7.2%
r 470
 
6.1%
s 372
 
4.8%
l 348
 
4.5%
c 332
 
4.3%
Other values (41) 2195
28.3%
Common
ValueCountFrequency (%)
1279
93.4%
- 42
 
3.1%
, 25
 
1.8%
) 6
 
0.4%
( 6
 
0.4%
1 3
 
0.2%
. 2
 
0.1%
: 2
 
0.1%
3 2
 
0.1%
2 2
 
0.1%
Han
ValueCountFrequency (%)
舍 1
50.0%
鷄 1
50.0%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9132
94.0%
Hangul 580
 
6.0%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1279
14.0%
e 832
 
9.1%
i 707
 
7.7%
n 692
 
7.6%
t 678
 
7.4%
a 578
 
6.3%
o 558
 
6.1%
r 470
 
5.1%
s 372
 
4.1%
l 348
 
3.8%
Other values (52) 2618
28.7%
Hangul
ValueCountFrequency (%)
에 21
 
3.6%
의 18
 
3.1%
사 15
 
2.6%
성 14
 
2.4%
유 14
 
2.4%
발 12
 
2.1%
물 12
 
2.1%
효 11
 
1.9%
이 11
 
1.9%
및 10
 
1.7%
Other values (150) 442
76.2%
CJK
ValueCountFrequency (%)
舍 1
50.0%
鷄 1
50.0%
None
ValueCountFrequency (%)
β 1
100.0%

학술지 출판년도
Real number (ℝ)

Distinct6
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.3736
Minimum2012
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T12:48:04.124553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12013
median2014
Q32016
95-th percentile2017
Maximum2017
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.4806031
Coefficient of variation (CV)0.00073501911
Kurtosis-1.046264
Mean2014.3736
Median Absolute Deviation (MAD)1
Skewness0.14738629
Sum183308
Variance2.1921856
MonotonicityNot monotonic
2023-12-11T12:48:04.223557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2014 24
26.4%
2016 20
22.0%
2013 20
22.0%
2015 11
12.1%
2012 9
 
9.9%
2017 7
 
7.7%
ValueCountFrequency (%)
2012 9
 
9.9%
2013 20
22.0%
2014 24
26.4%
2015 11
12.1%
2016 20
22.0%
2017 7
 
7.7%
ValueCountFrequency (%)
2017 7
 
7.7%
2016 20
22.0%
2015 11
12.1%
2014 24
26.4%
2013 20
22.0%
2012 9
 
9.9%

저자
Text

Distinct79
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T12:48:04.490341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length11.582418
Min length2

Characters and Unicode

Total characters1054
Distinct characters126
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

Unique69 ?
Unique (%)75.8%

Sample

1st row최윤정
2nd row방재일;류재규
3rd row부이홍투이,윈반투안,김진회
4th rowKaliyaperumal Rekha
5th rowI.M.Chung
ValueCountFrequency (%)
lee 17
 
7.8%
tae 12
 
5.5%
seung 10
 
4.6%
park 9
 
4.1%
kim 7
 
3.2%
min 6
 
2.8%
주저자 5
 
2.3%
교신저자 5
 
2.3%
jung 5
 
2.3%
이신자 4
 
1.8%
Other values (104) 137
63.1%
2023-12-11T12:48:04.976578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
12.1%
e 84
 
8.0%
a 68
 
6.5%
n 67
 
6.4%
u 43
 
4.1%
i 39
 
3.7%
o 35
 
3.3%
g 31
 
2.9%
r 21
 
2.0%
. 20
 
1.9%
Other values (116) 518
49.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 478
45.4%
Other Letter 188
 
17.8%
Uppercase Letter 181
 
17.2%
Space Separator 128
 
12.1%
Other Punctuation 50
 
4.7%
Open Punctuation 12
 
1.1%
Close Punctuation 12
 
1.1%
Dash Punctuation 4
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 17
 
9.0%
이 14
 
7.4%
저 11
 
5.9%
신 10
 
5.3%
진 7
 
3.7%
주 6
 
3.2%
교 5
 
2.7%
김 4
 
2.1%
규 4
 
2.1%
정 4
 
2.1%
Other values (66) 106
56.4%
Lowercase Letter
ValueCountFrequency (%)
e 84
17.6%
a 68
14.2%
n 67
14.0%
u 43
9.0%
i 39
8.2%
o 35
7.3%
g 31
 
6.5%
r 21
 
4.4%
m 20
 
4.2%
k 12
 
2.5%
Other values (11) 58
12.1%
Uppercase Letter
ValueCountFrequency (%)
L 20
11.0%
S 19
10.5%
T 19
10.5%
H 19
10.5%
J 16
8.8%
M 14
7.7%
K 13
 
7.2%
P 11
 
6.1%
Y 10
 
5.5%
I 6
 
3.3%
Other values (11) 34
18.8%
Other Punctuation
ValueCountFrequency (%)
. 20
40.0%
; 20
40.0%
, 10
20.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 659
62.5%
Common 207
 
19.6%
Hangul 188
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 17
 
9.0%
이 14
 
7.4%
저 11
 
5.9%
신 10
 
5.3%
진 7
 
3.7%
주 6
 
3.2%
교 5
 
2.7%
김 4
 
2.1%
규 4
 
2.1%
정 4
 
2.1%
Other values (66) 106
56.4%
Latin
ValueCountFrequency (%)
e 84
 
12.7%
a 68
 
10.3%
n 67
 
10.2%
u 43
 
6.5%
i 39
 
5.9%
o 35
 
5.3%
g 31
 
4.7%
r 21
 
3.2%
L 20
 
3.0%
m 20
 
3.0%
Other values (32) 231
35.1%
Common
ValueCountFrequency (%)
128
61.8%
. 20
 
9.7%
; 20
 
9.7%
( 12
 
5.8%
) 12
 
5.8%
, 10
 
4.8%
- 4
 
1.9%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 866
82.2%
Hangul 188
 
17.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
 
14.8%
e 84
 
9.7%
a 68
 
7.9%
n 67
 
7.7%
u 43
 
5.0%
i 39
 
4.5%
o 35
 
4.0%
g 31
 
3.6%
r 21
 
2.4%
. 20
 
2.3%
Other values (40) 330
38.1%
Hangul
ValueCountFrequency (%)
자 17
 
9.0%
이 14
 
7.4%
저 11
 
5.9%
신 10
 
5.3%
진 7
 
3.7%
주 6
 
3.2%
교 5
 
2.7%
김 4
 
2.1%
규 4
 
2.1%
정 4
 
2.1%
Other values (66) 106
56.4%

학술지명
Text

Distinct64
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-11T12:48:05.264876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length41
Mean length27.318681
Min length4

Characters and Unicode

Total characters2486
Distinct characters97
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

Unique47 ?
Unique (%)51.6%

Sample

1st rowONCOTARGET
2nd rowreproductive biology
3rd rowDEVELOPMENT AND STEM CELLS
4th rowBioMed Research International
5th rowArabian Journal of Chemistry
ValueCountFrequency (%)
of 36
 
10.7%
journal 31
 
9.2%
and 19
 
5.6%
science 16
 
4.7%
14
 
4.2%
animal 10
 
3.0%
j 8
 
2.4%
biology 8
 
2.4%
농업생명과학연구 7
 
2.1%
reproductive 6
 
1.8%
Other values (90) 182
54.0%
2023-12-11T12:48:05.659361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
9.9%
e 180
 
7.2%
o 178
 
7.2%
n 174
 
7.0%
i 153
 
6.2%
a 148
 
6.0%
r 130
 
5.2%
l 119
 
4.8%
c 95
 
3.8%
s 79
 
3.2%
Other values (87) 984
39.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1700
68.4%
Uppercase Letter 334
 
13.4%
Space Separator 246
 
9.9%
Other Letter 159
 
6.4%
Other Punctuation 37
 
1.5%
Dash Punctuation 5
 
0.2%
Math Symbol 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 18
 
11.3%
회 11
 
6.9%
업 11
 
6.9%
지 10
 
6.3%
농 9
 
5.7%
국 8
 
5.0%
한 8
 
5.0%
구 7
 
4.4%
연 7
 
4.4%
생 7
 
4.4%
Other values (35) 63
39.6%
Lowercase Letter
ValueCountFrequency (%)
e 180
10.6%
o 178
10.5%
n 174
10.2%
i 153
9.0%
a 148
8.7%
r 130
 
7.6%
l 119
 
7.0%
c 95
 
5.6%
s 79
 
4.6%
t 76
 
4.5%
Other values (13) 368
21.6%
Uppercase Letter
ValueCountFrequency (%)
A 56
16.8%
J 40
12.0%
S 33
9.9%
R 28
 
8.4%
E 24
 
7.2%
B 15
 
4.5%
I 15
 
4.5%
C 15
 
4.5%
T 14
 
4.2%
L 14
 
4.2%
Other values (10) 80
24.0%
Other Punctuation
ValueCountFrequency (%)
. 24
64.9%
& 11
29.7%
, 1
 
2.7%
: 1
 
2.7%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2034
81.8%
Common 293
 
11.8%
Hangul 150
 
6.0%
Han 9
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 180
 
8.8%
o 178
 
8.8%
n 174
 
8.6%
i 153
 
7.5%
a 148
 
7.3%
r 130
 
6.4%
l 119
 
5.9%
c 95
 
4.7%
s 79
 
3.9%
t 76
 
3.7%
Other values (33) 702
34.5%
Hangul
ValueCountFrequency (%)
학 18
 
12.0%
회 11
 
7.3%
업 11
 
7.3%
지 10
 
6.7%
농 9
 
6.0%
국 8
 
5.3%
한 8
 
5.3%
구 7
 
4.7%
연 7
 
4.7%
생 7
 
4.7%
Other values (26) 54
36.0%
Common
ValueCountFrequency (%)
246
84.0%
. 24
 
8.2%
& 11
 
3.8%
- 5
 
1.7%
= 3
 
1.0%
) 1
 
0.3%
( 1
 
0.3%
, 1
 
0.3%
: 1
 
0.3%
Han
ValueCountFrequency (%)
會 1
11.1%
誌 1
11.1%
學 1
11.1%
健 1
11.1%
保 1
11.1%
境 1
11.1%
環 1
11.1%
國 1
11.1%
韓 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2327
93.6%
Hangul 150
 
6.0%
CJK 9
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
 
10.6%
e 180
 
7.7%
o 178
 
7.6%
n 174
 
7.5%
i 153
 
6.6%
a 148
 
6.4%
r 130
 
5.6%
l 119
 
5.1%
c 95
 
4.1%
s 79
 
3.4%
Other values (42) 825
35.5%
Hangul
ValueCountFrequency (%)
학 18
 
12.0%
회 11
 
7.3%
업 11
 
7.3%
지 10
 
6.7%
농 9
 
6.0%
국 8
 
5.3%
한 8
 
5.3%
구 7
 
4.7%
연 7
 
4.7%
생 7
 
4.7%
Other values (26) 54
36.0%
CJK
ValueCountFrequency (%)
會 1
11.1%
誌 1
11.1%
學 1
11.1%
健 1
11.1%
保 1
11.1%
境 1
11.1%
環 1
11.1%
國 1
11.1%
韓 1
11.1%

Interactions

2023-12-11T12:48:01.594285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.044151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.300265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.686315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.138616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.395489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.805947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.213287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:48:01.487745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:48:05.757480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자논문명학술지 출판년도저자학술지명
번호1.0000.8930.9230.9230.9920.7170.9710.839
과제번호0.8931.0001.0001.0001.0000.1031.0000.997
과제명0.9231.0001.0001.0001.0000.4651.0000.973
연구책임자0.9231.0001.0001.0001.0000.4651.0000.973
논문명0.9921.0001.0001.0001.0001.0000.9970.999
학술지 출판년도0.7170.1030.4650.4651.0001.0000.7970.945
저자0.9711.0001.0001.0000.9970.7971.0000.991
학술지명0.8390.9970.9730.9730.9990.9450.9911.000
2023-12-11T12:48:05.873820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제명연구책임자
과제명1.0001.000
연구책임자1.0001.000
2023-12-11T12:48:05.986318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호학술지 출판년도과제명연구책임자
번호1.0000.9570.4470.8220.822
과제번호0.9571.0000.4370.9770.977
학술지 출판년도0.4470.4371.0000.3400.340
과제명0.8220.9770.3401.0001.000
연구책임자0.8220.9770.3401.0001.000

Missing values

2023-12-11T12:48:01.939457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:48:02.090333image/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 출판년도저자학술지명
01축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회Partial loss of interleukin 2 receptor gamma function in pigs provides mechanistic insights for the study of human2016최윤정ONCOTARGET
12축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회The effects of artificial activation timing on the development of SCNT-derived embryos and newborn piglets2012방재일;류재규reproductive biology
23축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회Epigenetic reprogramming in somatic cells induced by extract from germinal vesicle stage pig oocytes2012부이홍투이,윈반투안,김진회DEVELOPMENT AND STEM CELLS
34축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회Growth and Replication of Infectious Bursal Disease Virus in the DF-1 Cell Line and Chicken Embryo Fibroblasts2014Kaliyaperumal RekhaBioMed Research International
45축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회New glycosidic constituents from fruits of Lycium chinense and their antioxidant activities2013I.M.ChungArabian Journal of Chemistry
56축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회Humanin: A novel functional molecule for the green synthesis of graphene2013상일리얀디Colloids and Surfaces B: Biointerfaces
67축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회The effects of artificial activation timing on the development of SCNT-derived embryos and newborn piglets2012방재일;류재규Reproductive biology
78축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회Cytotoxicity of Biologically Synthesized Silver Nanoparticles in MDA-MB-231 Human Breast Cancer Cells2013Sangiliyandi GurunathanBioMed Research International
89축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회a1,3-Galactosyltransferase Deficiency in Germ-Free Miniature Pigs Increases N-Glycolylneuraminic Acids As the Xenoantigenic Determinant in PigHuman Xenotransplantation2012박종이CELLULAR REPROGRAMMING
910축산1110475돼지 common cytokine receptor gamma(IL-2R) 유전자 적중 복제 미니 돼지 개발과 이를 이용한 사람 조혈 줄기세포 생체 대량 배양김진회Identification and characterization of putative stem cells in the adult pig ovary2014Hong-Thuy BuiDevelopment
번호분류과제번호과제명연구책임자논문명학술지 출판년도저자학술지명
8182축산3130013FTA 대응 사료비 절감 및 생산성 향상을 위한 양돈 사양시스템 개발김유용돈군의 이동시기 조절이 육성비육돈에 미치는 영향2016홍진수ANNALS OF ANIMAL RESOURCE SCIENCES
8283축산3130013FTA 대응 사료비 절감 및 생산성 향상을 위한 양돈 사양시스템 개발김유용이유 후 자돈사로 이동하기 전 분만사에서의 대기 기간이 자돈의 성장성적, 혈액성상, 설사빈도에 미치는 영향2016도성호Journal of Agriculture & Life Science
8384축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중가축분 퇴비의 중금속 함량 및 화학적 형태별 특성2016고한종한국산업보건학회지
8485축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중국내 계사(鷄舍) 작업장 유형에 따른 분진 농도 및 발생량 분포2017김기연韓國環境保健學會誌 = Journal of environmental health sciences
8586축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중공기정화기 적용에 따른 돈사 작업장에서 발생되는 악취물질 저감 현장 평가2016오성업Journal of Odor and Indoor Environment
8687축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중공기정화기 적용에 따른 돈사 작업장에서 발생되는 악취물질 저감 현장 평가2016김기연Journal of Odor and Indoor Environment
8788축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중공기정화기 적용에 따른 돈사 작업장내 입자상 물질 및 생물학상 물질 저감 효과에 관한 연구2017오성업한국산업보건학회지
8889축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중Exposure level and emission characteristics of ammonia and hydrogen sulphide in poultry buildings of South Korea2016Ki Y. KimIndoor and Built Environment (IBE)
8990축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중생산퇴비 재사용을 통한 수분조절재 절감효과 분석2017이민호journal of agriculture & life science
9091축산3130423원통 수평형 고 수분 가축분뇨 고속 퇴비화 및 악취 2단 제거 기술개발김원중Comparison of the Capability of Different Composts based on Available Nutrients and Heavy Metals for Chrysanthemum Cultivation2017Malinee PHONSUWANJournal of Residuals Science & Technology