Overview

Dataset statistics

Number of variables9
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory74.7 B

Variable types

Numeric1
Categorical1
Text6
DateTime1

Dataset

Description우리원의 농림식품 관련 RnD 과제 성과로 창출된 공공데이터 정보 중 농림식품 축산 RnD 논문정보에 대한 데이터 입니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15048161/fileData.do

Alerts

분류 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:27:52.576583
Analysis finished2023-12-12 05:27:54.033624
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T14:27:54.115508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2023-12-12T14:27:54.281023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
축산
80 

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 80
100.0%

Length

2023-12-12T14:27:54.465141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:54.572179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산 80
100.0%

과제번호
Text

Distinct47
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T14:27:55.122483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length9.125
Min length8

Characters and Unicode

Total characters730
Distinct characters14
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

Unique29 ?
Unique (%)36.2%

Sample

1st row715003-7
2nd row117029-3
3rd row117042-3
4th row118073-3
5th row715003-7
ValueCountFrequency (%)
715003-7 5
 
6.2%
318016-5 5
 
6.2%
117042-3 4
 
5.0%
317021-3 4
 
5.0%
117029-3 4
 
5.0%
316005-5 4
 
5.0%
318022-4 3
 
3.8%
116065-3 2
 
2.5%
313020-4 2
 
2.5%
213010053sb510 2
 
2.5%
Other values (37) 45
56.2%
2023-12-12T14:27:55.576483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 142
19.5%
0 142
19.5%
3 111
15.2%
- 65
8.9%
2 59
8.1%
5 50
 
6.8%
7 35
 
4.8%
4 32
 
4.4%
6 25
 
3.4%
8 24
 
3.3%
Other values (4) 45
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 634
86.8%
Dash Punctuation 65
 
8.9%
Uppercase Letter 31
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 142
22.4%
0 142
22.4%
3 111
17.5%
2 59
9.3%
5 50
 
7.9%
7 35
 
5.5%
4 32
 
5.0%
6 25
 
3.9%
8 24
 
3.8%
9 14
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
S 15
48.4%
B 15
48.4%
D 1
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 699
95.8%
Latin 31
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 142
20.3%
0 142
20.3%
3 111
15.9%
- 65
9.3%
2 59
8.4%
5 50
 
7.2%
7 35
 
5.0%
4 32
 
4.6%
6 25
 
3.6%
8 24
 
3.4%
Latin
ValueCountFrequency (%)
S 15
48.4%
B 15
48.4%
D 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 142
19.5%
0 142
19.5%
3 111
15.2%
- 65
8.9%
2 59
8.1%
5 50
 
6.8%
7 35
 
4.8%
4 32
 
4.4%
6 25
 
3.4%
8 24
 
3.3%
Other values (4) 45
 
6.2%

과제명
Text

Distinct47
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T14:27:55.971231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length41
Mean length31.0875
Min length8

Characters and Unicode

Total characters2487
Distinct characters249
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)36.2%

Sample

1st row제주흑우 대량증식 및 산업화
2nd row산업화 적용위한 OPU유래 수정란이식 전주기 관련기술 개발
3rd row정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산
4th row한우 근내 풍미 증진을 위한 유용 아미노산 조성 반추가축 사료 및 첨가제 개발
5th row제주흑우 대량증식 및 산업화
ValueCountFrequency (%)
및 52
 
8.1%
개발 41
 
6.4%
위한 14
 
2.2%
산업화 11
 
1.7%
생산 11
 
1.7%
활용한 10
 
1.6%
정원줄기세포 8
 
1.3%
젖소 7
 
1.1%
기능성 7
 
1.1%
축산물의 7
 
1.1%
Other values (247) 471
73.7%
2023-12-12T14:27:56.546945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
561
 
22.6%
개 53
 
2.1%
및 52
 
2.1%
기 51
 
2.1%
용 49
 
2.0%
발 49
 
2.0%
산 47
 
1.9%
한 47
 
1.9%
생 34
 
1.4%
화 33
 
1.3%
Other values (239) 1511
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1871
75.2%
Space Separator 561
 
22.6%
Uppercase Letter 46
 
1.8%
Other Punctuation 4
 
0.2%
Lowercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 53
 
2.8%
및 52
 
2.8%
기 51
 
2.7%
용 49
 
2.6%
발 49
 
2.6%
산 47
 
2.5%
한 47
 
2.5%
생 34
 
1.8%
화 33
 
1.8%
질 33
 
1.8%
Other values (222) 1423
76.1%
Uppercase Letter
ValueCountFrequency (%)
I 9
19.6%
P 8
17.4%
T 7
15.2%
O 5
10.9%
G 4
8.7%
S 4
8.7%
U 4
8.7%
A 2
 
4.3%
C 2
 
4.3%
H 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
/ 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
561
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1871
75.2%
Common 567
 
22.8%
Latin 49
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 53
 
2.8%
및 52
 
2.8%
기 51
 
2.7%
용 49
 
2.6%
발 49
 
2.6%
산 47
 
2.5%
한 47
 
2.5%
생 34
 
1.8%
화 33
 
1.8%
질 33
 
1.8%
Other values (222) 1423
76.1%
Latin
ValueCountFrequency (%)
I 9
18.4%
P 8
16.3%
T 7
14.3%
O 5
10.2%
G 4
8.2%
S 4
8.2%
U 4
8.2%
o 3
 
6.1%
A 2
 
4.1%
C 2
 
4.1%
Common
ValueCountFrequency (%)
561
98.9%
· 2
 
0.4%
/ 1
 
0.2%
, 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1871
75.2%
ASCII 614
 
24.7%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
561
91.4%
I 9
 
1.5%
P 8
 
1.3%
T 7
 
1.1%
O 5
 
0.8%
G 4
 
0.7%
S 4
 
0.7%
U 4
 
0.7%
o 3
 
0.5%
A 2
 
0.3%
Other values (6) 7
 
1.1%
Hangul
ValueCountFrequency (%)
개 53
 
2.8%
및 52
 
2.8%
기 51
 
2.7%
용 49
 
2.6%
발 49
 
2.6%
산 47
 
2.5%
한 47
 
2.5%
생 34
 
1.8%
화 33
 
1.8%
질 33
 
1.8%
Other values (222) 1423
76.1%
None
ValueCountFrequency (%)
· 2
100.0%

연구책임자
Text

Distinct42
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T14:27:56.809861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.975
Min length2

Characters and Unicode

Total characters238
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)28.7%

Sample

1st row박세필
2nd row공일근
3rd row이승태
4th row김창현
5th row박세필
ValueCountFrequency (%)
정영철 6
 
7.5%
현상환 5
 
6.2%
박세필 5
 
6.2%
이승태 5
 
6.2%
조우재 4
 
5.0%
허철성 4
 
5.0%
공일근 4
 
5.0%
권찬호 2
 
2.5%
조철훈 2
 
2.5%
백명기 2
 
2.5%
Other values (32) 41
51.2%
2023-12-12T14:27:57.189118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 14
 
5.9%
철 14
 
5.9%
이 14
 
5.9%
현 10
 
4.2%
상 9
 
3.8%
환 8
 
3.4%
조 8
 
3.4%
박 7
 
2.9%
김 7
 
2.9%
태 6
 
2.5%
Other values (51) 141
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 14
 
5.9%
철 14
 
5.9%
이 14
 
5.9%
현 10
 
4.2%
상 9
 
3.8%
환 8
 
3.4%
조 8
 
3.4%
박 7
 
2.9%
김 7
 
2.9%
태 6
 
2.5%
Other values (51) 141
59.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 14
 
5.9%
철 14
 
5.9%
이 14
 
5.9%
현 10
 
4.2%
상 9
 
3.8%
환 8
 
3.4%
조 8
 
3.4%
박 7
 
2.9%
김 7
 
2.9%
태 6
 
2.5%
Other values (51) 141
59.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 14
 
5.9%
철 14
 
5.9%
이 14
 
5.9%
현 10
 
4.2%
상 9
 
3.8%
환 8
 
3.4%
조 8
 
3.4%
박 7
 
2.9%
김 7
 
2.9%
태 6
 
2.5%
Other values (51) 141
59.2%

논문명
Text

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T14:27:57.544569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length227
Median length125
Mean length100.975
Min length21

Characters and Unicode

Total characters8078
Distinct characters187
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

Unique70 ?
Unique (%)87.5%

Sample

1st rowReconstituting Human Cutaneous Regeneration in Humanized Mice under Endothelial Cell Therapy
2nd rowIn vitro production of sex preselected cattle embryos using a monoclonal antibody raised against bull sperm epitopes
3rd rowEstablishment of In-Vitro Culture System for Enhancing Production of Somatic Cell Nuclear Transfer (SCNT) Blastocysts with High Performance in the Colony Formation and Formation of Colonies Derived from SCNT Blastocysts in Pigs
4th rowEffects of short-term fasting on in vivo rumen microbiota and in vitro rumen fermentation characteristics
5th rowPioglitazone improves porcine oocyte maturation and subsequent parthenogenetic embryo development in vitro by increasing lipid metabolism
ValueCountFrequency (%)
of 73
 
6.4%
in 45
 
3.9%
and 44
 
3.8%
the 22
 
1.9%
on 18
 
1.6%
for 12
 
1.0%
cells 12
 
1.0%
a 11
 
1.0%
performance 9
 
0.8%
vitro 9
 
0.8%
Other values (573) 894
77.8%
2023-12-12T14:27:58.120562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1076
13.3%
e 702
 
8.7%
o 550
 
6.8%
i 542
 
6.7%
n 516
 
6.4%
t 497
 
6.2%
a 477
 
5.9%
r 420
 
5.2%
s 356
 
4.4%
c 293
 
3.6%
Other values (177) 2649
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6164
76.3%
Space Separator 1076
 
13.3%
Uppercase Letter 374
 
4.6%
Other Letter 339
 
4.2%
Decimal Number 43
 
0.5%
Dash Punctuation 41
 
0.5%
Other Punctuation 22
 
0.3%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 16
 
4.7%
산 13
 
3.8%
유 12
 
3.5%
에 10
 
2.9%
한 8
 
2.4%
성 7
 
2.1%
전 7
 
2.1%
자 7
 
2.1%
조 7
 
2.1%
생 7
 
2.1%
Other values (107) 245
72.3%
Lowercase Letter
ValueCountFrequency (%)
e 702
11.4%
o 550
 
8.9%
i 542
 
8.8%
n 516
 
8.4%
t 497
 
8.1%
a 477
 
7.7%
r 420
 
6.8%
s 356
 
5.8%
c 293
 
4.8%
l 254
 
4.1%
Other values (17) 1557
25.3%
Uppercase Letter
ValueCountFrequency (%)
C 45
12.0%
S 33
 
8.8%
P 28
 
7.5%
A 26
 
7.0%
E 26
 
7.0%
T 25
 
6.7%
D 22
 
5.9%
M 22
 
5.9%
I 20
 
5.3%
B 19
 
5.1%
Other values (14) 108
28.9%
Decimal Number
ValueCountFrequency (%)
1 15
34.9%
2 10
23.3%
0 4
 
9.3%
5 3
 
7.0%
7 2
 
4.7%
3 2
 
4.7%
8 2
 
4.7%
9 2
 
4.7%
4 2
 
4.7%
6 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 13
59.1%
: 6
27.3%
/ 3
 
13.6%
Space Separator
ValueCountFrequency (%)
1076
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
× 2
100.0%
Other Symbol
ValueCountFrequency (%)
□ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6537
80.9%
Common 1201
 
14.9%
Hangul 339
 
4.2%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 16
 
4.7%
산 13
 
3.8%
유 12
 
3.5%
에 10
 
2.9%
한 8
 
2.4%
성 7
 
2.1%
전 7
 
2.1%
자 7
 
2.1%
조 7
 
2.1%
생 7
 
2.1%
Other values (107) 245
72.3%
Latin
ValueCountFrequency (%)
e 702
 
10.7%
o 550
 
8.4%
i 542
 
8.3%
n 516
 
7.9%
t 497
 
7.6%
a 477
 
7.3%
r 420
 
6.4%
s 356
 
5.4%
c 293
 
4.5%
l 254
 
3.9%
Other values (40) 1930
29.5%
Common
ValueCountFrequency (%)
1076
89.6%
- 41
 
3.4%
1 15
 
1.2%
, 13
 
1.1%
2 10
 
0.8%
) 8
 
0.7%
( 8
 
0.7%
: 6
 
0.5%
0 4
 
0.3%
/ 3
 
0.2%
Other values (9) 17
 
1.4%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7735
95.8%
Hangul 339
 
4.2%
None 3
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1076
13.9%
e 702
 
9.1%
o 550
 
7.1%
i 542
 
7.0%
n 516
 
6.7%
t 497
 
6.4%
a 477
 
6.2%
r 420
 
5.4%
s 356
 
4.6%
c 293
 
3.8%
Other values (57) 2306
29.8%
Hangul
ValueCountFrequency (%)
의 16
 
4.7%
산 13
 
3.8%
유 12
 
3.5%
에 10
 
2.9%
한 8
 
2.4%
성 7
 
2.1%
전 7
 
2.1%
자 7
 
2.1%
조 7
 
2.1%
생 7
 
2.1%
Other values (107) 245
72.3%
None
ValueCountFrequency (%)
× 2
66.7%
β 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

학술지게재일자
Date

Distinct54
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2019-01-01 00:00:00
Maximum2019-12-31 00:00:00
2023-12-12T14:27:58.249784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:58.370900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct76
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T14:27:58.579208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length242
Median length128
Mean length77.1
Min length7

Characters and Unicode

Total characters6168
Distinct characters204
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)90.0%

Sample

1st row주저자:Heung-Mo Yang,공저자:Jong-Jin Choi,공저자:Ha-Na Kim,공저자:Seung Jip Yang,공저자:Soon-Jung Park,공저자:Changhee Kang,공저자:Hyung-Min Chung,교신저자:Man Ryul Lee,교신저자:Sung Joo Kim,교신저자:Sung-Hwan Moon
2nd row주저자:초두리,주저자:쉬 롄광,주저자:공 라미,공저자:박 번영,공저자:아이만,공저자:주 명돈,공저자:파미다,공저자:진 종인,공저자:임 현태,교신저자:공 일근
3rd row주저자:한나래,공저자:백송,공저자:이용진,공저자:이주형,공저자:윤정임,공저자:이은송,교신저자:이승태
4th row주저자:Jong Nam Kim,공저자:Jaeyong Song,공저자:Eun Joong Kim,공저자:Jongsoo Chang,공저자:Chang-Hyun Kim,공저자:Seongwon Seo,공저자:Moon Baek Chang,교신저자:Gui-Seck Bae
5th row주저자:정상기,주저자:이승은,공저자:김원재,공저자:박윤귀,공저자:윤재욱,공저자:박찬오,공저자:박효진,교신저자:김은영,교신저자:박세필
ValueCountFrequency (%)
park 6
 
1.3%
woo 5
 
1.1%
kim 5
 
1.1%
jin 5
 
1.1%
일근 4
 
0.9%
jun 3
 
0.7%
주저자:ayala-cuellar 3
 
0.7%
lee 3
 
0.7%
kim,공저자:jong 3
 
0.7%
moon 3
 
0.7%
Other values (383) 420
91.3%
2023-12-12T14:27:58.952618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 465
 
7.5%
저 463
 
7.5%
: 463
 
7.5%
, 396
 
6.4%
387
 
6.3%
n 306
 
5.0%
공 284
 
4.6%
o 276
 
4.5%
a 207
 
3.4%
e 194
 
3.1%
Other values (194) 2727
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2165
35.1%
Lowercase Letter 1891
30.7%
Other Punctuation 862
 
14.0%
Uppercase Letter 782
 
12.7%
Space Separator 387
 
6.3%
Dash Punctuation 72
 
1.2%
Decimal Number 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 465
21.5%
저 463
21.4%
공 284
13.1%
주 110
 
5.1%
신 88
 
4.1%
교 87
 
4.0%
이 52
 
2.4%
김 30
 
1.4%
정 25
 
1.2%
박 22
 
1.0%
Other values (136) 539
24.9%
Lowercase Letter
ValueCountFrequency (%)
n 306
16.2%
o 276
14.6%
a 207
10.9%
e 194
10.3%
g 172
9.1%
u 143
7.6%
i 138
7.3%
y 69
 
3.6%
m 67
 
3.5%
h 63
 
3.3%
Other values (15) 256
13.5%
Uppercase Letter
ValueCountFrequency (%)
J 100
12.8%
S 90
11.5%
K 82
 
10.5%
H 81
 
10.4%
Y 52
 
6.6%
M 39
 
5.0%
N 36
 
4.6%
C 30
 
3.8%
L 29
 
3.7%
P 29
 
3.7%
Other values (13) 214
27.4%
Other Punctuation
ValueCountFrequency (%)
: 463
53.7%
, 396
45.9%
. 2
 
0.2%
; 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
1 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
Space Separator
ValueCountFrequency (%)
387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2673
43.3%
Hangul 2165
35.1%
Common 1330
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 465
21.5%
저 463
21.4%
공 284
13.1%
주 110
 
5.1%
신 88
 
4.1%
교 87
 
4.0%
이 52
 
2.4%
김 30
 
1.4%
정 25
 
1.2%
박 22
 
1.0%
Other values (136) 539
24.9%
Latin
ValueCountFrequency (%)
n 306
 
11.4%
o 276
 
10.3%
a 207
 
7.7%
e 194
 
7.3%
g 172
 
6.4%
u 143
 
5.3%
i 138
 
5.2%
J 100
 
3.7%
S 90
 
3.4%
K 82
 
3.1%
Other values (38) 965
36.1%
Common
ValueCountFrequency (%)
: 463
34.8%
, 396
29.8%
387
29.1%
- 72
 
5.4%
2 4
 
0.3%
1 3
 
0.2%
. 2
 
0.2%
3 1
 
0.1%
4 1
 
0.1%
; 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4003
64.9%
Hangul 2165
35.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 465
21.5%
저 463
21.4%
공 284
13.1%
주 110
 
5.1%
신 88
 
4.1%
교 87
 
4.0%
이 52
 
2.4%
김 30
 
1.4%
정 25
 
1.2%
박 22
 
1.0%
Other values (136) 539
24.9%
ASCII
ValueCountFrequency (%)
: 463
 
11.6%
, 396
 
9.9%
387
 
9.7%
n 306
 
7.6%
o 276
 
6.9%
a 207
 
5.2%
e 194
 
4.8%
g 172
 
4.3%
u 143
 
3.6%
i 138
 
3.4%
Other values (48) 1321
33.0%

학술지명
Text

Distinct58
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T14:27:59.235331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length46
Mean length32.5375
Min length5

Characters and Unicode

Total characters2603
Distinct characters88
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)53.8%

Sample

1st rowThe Journal of investigative dermatology
2nd rowAnimal reproduction science
3rd rowJournal of Animal Reproduction and Biotechnology
4th rowAsian-Australasian journal of animal sciences
5th rowMolecular reproduction and development
ValueCountFrequency (%)
of 43
 
12.2%
journal 35
 
9.9%
animal 25
 
7.1%
science 25
 
7.1%
20
 
5.7%
and 12
 
3.4%
reproduction 11
 
3.1%
korean 9
 
2.6%
sciences 9
 
2.6%
the 7
 
2.0%
Other values (83) 156
44.3%
2023-12-12T14:27:59.960367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
 
10.4%
o 233
 
9.0%
n 208
 
8.0%
e 202
 
7.8%
a 191
 
7.3%
i 162
 
6.2%
l 155
 
6.0%
c 140
 
5.4%
r 129
 
5.0%
s 101
 
3.9%
Other values (78) 810
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1993
76.6%
Space Separator 272
 
10.4%
Uppercase Letter 191
 
7.3%
Other Letter 113
 
4.3%
Other Punctuation 18
 
0.7%
Dash Punctuation 7
 
0.3%
Math Symbol 6
 
0.2%
Other Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 13
 
11.5%
한 9
 
8.0%
회 9
 
8.0%
국 8
 
7.1%
지 8
 
7.1%
농 5
 
4.4%
생 5
 
4.4%
명 5
 
4.4%
업 4
 
3.5%
가 4
 
3.5%
Other values (25) 43
38.1%
Lowercase Letter
ValueCountFrequency (%)
o 233
11.7%
n 208
10.4%
e 202
10.1%
a 191
9.6%
i 162
8.1%
l 155
7.8%
c 140
 
7.0%
r 129
 
6.5%
s 101
 
5.1%
u 85
 
4.3%
Other values (12) 387
19.4%
Uppercase Letter
ValueCountFrequency (%)
A 40
20.9%
S 23
12.0%
J 22
11.5%
R 15
 
7.9%
K 10
 
5.2%
P 10
 
5.2%
M 9
 
4.7%
B 9
 
4.7%
T 9
 
4.7%
C 8
 
4.2%
Other values (11) 36
18.8%
Other Punctuation
ValueCountFrequency (%)
& 7
38.9%
: 7
38.9%
. 2
 
11.1%
, 2
 
11.1%
Space Separator
ValueCountFrequency (%)
272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%
Other Symbol
ValueCountFrequency (%)
□ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2184
83.9%
Common 306
 
11.8%
Hangul 106
 
4.1%
Han 7
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 233
10.7%
n 208
 
9.5%
e 202
 
9.2%
a 191
 
8.7%
i 162
 
7.4%
l 155
 
7.1%
c 140
 
6.4%
r 129
 
5.9%
s 101
 
4.6%
u 85
 
3.9%
Other values (33) 578
26.5%
Hangul
ValueCountFrequency (%)
학 13
 
12.3%
한 9
 
8.5%
회 9
 
8.5%
국 8
 
7.5%
지 8
 
7.5%
농 5
 
4.7%
생 5
 
4.7%
명 5
 
4.7%
업 4
 
3.8%
가 4
 
3.8%
Other values (18) 36
34.0%
Common
ValueCountFrequency (%)
272
88.9%
- 7
 
2.3%
& 7
 
2.3%
: 7
 
2.3%
= 6
 
2.0%
. 2
 
0.7%
, 2
 
0.7%
□ 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
Han
ValueCountFrequency (%)
日 1
14.3%
本 1
14.3%
會 1
14.3%
學 1
14.3%
産 1
14.3%
畜 1
14.3%
報 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2489
95.6%
Hangul 106
 
4.1%
CJK 7
 
0.3%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
 
10.9%
o 233
 
9.4%
n 208
 
8.4%
e 202
 
8.1%
a 191
 
7.7%
i 162
 
6.5%
l 155
 
6.2%
c 140
 
5.6%
r 129
 
5.2%
s 101
 
4.1%
Other values (42) 696
28.0%
Hangul
ValueCountFrequency (%)
학 13
 
12.3%
한 9
 
8.5%
회 9
 
8.5%
국 8
 
7.5%
지 8
 
7.5%
농 5
 
4.7%
생 5
 
4.7%
명 5
 
4.7%
업 4
 
3.8%
가 4
 
3.8%
Other values (18) 36
34.0%
CJK
ValueCountFrequency (%)
日 1
14.3%
本 1
14.3%
會 1
14.3%
學 1
14.3%
産 1
14.3%
畜 1
14.3%
報 1
14.3%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

Interactions

2023-12-12T14:27:53.620013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:28:00.085933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자논문명학술지게재일자저자학술지명
번호1.0000.7390.7390.7020.8700.5380.7220.615
과제번호0.7391.0001.0001.0000.9860.8000.9980.952
과제명0.7391.0001.0001.0000.9860.8000.9980.952
연구책임자0.7021.0001.0001.0000.9990.9091.0000.956
논문명0.8700.9860.9860.9991.0000.9990.9990.999
학술지게재일자0.5380.8000.8000.9090.9991.0001.0000.921
저자0.7220.9980.9981.0000.9991.0001.0001.000
학술지명0.6150.9520.9520.9560.9990.9211.0001.000

Missing values

2023-12-12T14:27:53.804713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:27:53.978154image/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

번호분류과제번호과제명연구책임자논문명학술지게재일자저자학술지명
01축산715003-7제주흑우 대량증식 및 산업화박세필Reconstituting Human Cutaneous Regeneration in Humanized Mice under Endothelial Cell Therapy2019-02-26주저자:Heung-Mo Yang,공저자:Jong-Jin Choi,공저자:Ha-Na Kim,공저자:Seung Jip Yang,공저자:Soon-Jung Park,공저자:Changhee Kang,공저자:Hyung-Min Chung,교신저자:Man Ryul Lee,교신저자:Sung Joo Kim,교신저자:Sung-Hwan MoonThe Journal of investigative dermatology
12축산117029-3산업화 적용위한 OPU유래 수정란이식 전주기 관련기술 개발공일근In vitro production of sex preselected cattle embryos using a monoclonal antibody raised against bull sperm epitopes2019-06-11주저자:초두리,주저자:쉬 롄광,주저자:공 라미,공저자:박 번영,공저자:아이만,공저자:주 명돈,공저자:파미다,공저자:진 종인,공저자:임 현태,교신저자:공 일근Animal reproduction science
23축산117042-3정원줄기세포 이식용 돼지 생산을 통한 형질전환 정원줄기세포 유래 성숙정자 생산 및 이를 활용한 형질전환돼지 생산이승태Establishment of In-Vitro Culture System for Enhancing Production of Somatic Cell Nuclear Transfer (SCNT) Blastocysts with High Performance in the Colony Formation and Formation of Colonies Derived from SCNT Blastocysts in Pigs2019-06-29주저자:한나래,공저자:백송,공저자:이용진,공저자:이주형,공저자:윤정임,공저자:이은송,교신저자:이승태Journal of Animal Reproduction and Biotechnology
34축산118073-3한우 근내 풍미 증진을 위한 유용 아미노산 조성 반추가축 사료 및 첨가제 개발김창현Effects of short-term fasting on in vivo rumen microbiota and in vitro rumen fermentation characteristics2019-06-01주저자:Jong Nam Kim,공저자:Jaeyong Song,공저자:Eun Joong Kim,공저자:Jongsoo Chang,공저자:Chang-Hyun Kim,공저자:Seongwon Seo,공저자:Moon Baek Chang,교신저자:Gui-Seck BaeAsian-Australasian journal of animal sciences
45축산715003-7제주흑우 대량증식 및 산업화박세필Pioglitazone improves porcine oocyte maturation and subsequent parthenogenetic embryo development in vitro by increasing lipid metabolism2019-06-30주저자:정상기,주저자:이승은,공저자:김원재,공저자:박윤귀,공저자:윤재욱,공저자:박찬오,공저자:박효진,교신저자:김은영,교신저자:박세필Molecular reproduction and development
56축산715003-7제주흑우 대량증식 및 산업화박세필Allicin protects porcine oocytes against damage during aging in vitro2019-06-01주저자:박윤귀,공저자:이승은,공저자:윤재욱,교신저자:김은영,교신저자:박세필Molecular reproduction and development
67축산317021-3수출전략형 노령 펫용 기능성 맞춤형 사료 제품 개발조우재Characterization of canine adipose tissue derived mesenchymal stem cells immortalized by SV40 T retrovirus for therapeutic use2019-02-19주저자:Ayala-Cuellar Ana Patricia,공저자:김초원,황경아,강지훈,이갑상,조재진,교신저자:최경철Journal of cellular physiology
78축산317021-3수출전략형 노령 펫용 기능성 맞춤형 사료 제품 개발조우재Roles of Mesenchymal Stem Cells in Tissue Regeneration and Immunomodulation2019-01-01주저자:Ayala-Cuellar Ana Patricia,공저자:강지훈, 정의배,교신저자:최경철Biomolecules & therapeutics
89축산918001-4유용 미생물 및 유전체 정보를 활용한 양돈장 악취개선 기능성 미생물제제 개발강정선동결건조한 Lactobacillus fermentum SK152 균주의 생존율에 미치는 동결보호제의 효과2019-09-30주저자:김상훈,공저자:계하은,공저자:오주경,공저자:황인찬,교신저자:강대경Journal of Milk Science and Biotechnology
910축산317021-3수출전략형 노령 펫용 기능성 맞춤형 사료 제품 개발조우재Toll like receptors: A pathway alluding to cancer control2019-05-29주저자:Ayala-Cuellar Ana Patricia,공저자:조재진,교신저자:최경철Journal of cellular physiology
번호분류과제번호과제명연구책임자논문명학술지게재일자저자학술지명
7071축산213010053SB610GSP참여종돈장 및 핵돈군 AI센터 질병청정화와 위생방역 관리체계 구축박최규Development of a colorimetric loop-mediated isothermal amplification assay for rapid and specific detection of Aves polyomavirus 1 from psittacine bird2019-07-01주저자:박민지,교신저자:박최규,공저자:김혜령,공저자:임다래,공저자:채하경,공저자:권오덕,공저자:조광현Journal of Virological Methods
7172축산213010053SB510GSP 참여종돈장 통합육종시스템 확립 및 적용정영철Genome-wide association study and genomic predictions for exterior traits in Yorkshire pigs2019-05-14주저자:이중재,교신저자:김준모,공저자:박종은,공저자:임다정,공저자:이석현,공저자:문성호,공저자:최성운,공저자:고광웅Journal of animal science
7273축산213010053SB250토종닭 개체 및 집단식별 분자표지 개발과 검증체계 구축이준헌The Development of Multiplex PCR Microsatellite Marker Sets for Korean Chicken Breeds2019-09-15주저자:Sung Soo Choi,공저자:Joo Hee Seo,공저자:Jung-Min Han,공저자:Jiyeon Seong,공저자:Jun Heon Lee,교신저자:Hong Sik KongInternational Journal of Poultry Science
7374축산213010053SB420신품종 토종닭 계육 특성분석 및 제품화기술 개발남기창Comparison of Functional Compounds and Micronutrients of Chicken Breast Meat by Breeds2019-07-18주저자:Mahabbat ali,교신저자:Ki-Chang Nam,공저자:Cheorun Jo,공저자:Samooel Jung,공저자:Seong-Yun Lee,공저자:Ji-Young ParkFood science of animal resources
7475축산213010053SB240토종 삼계 종자 개발을 위한 교배조합 및 생산체계 확립허정민Growth performance of crossed breed Korean domestic chickens for twelve weeks after hatching2019-07-22주저자:조현민,교신저자:허정민Korean journal of agricultural science
7576축산213010052SB330토종닭 육종단계별 질병청정화 추진 및 수출 검역체계 구축성환우H7 아형 조류인플루엔자 바이러스의 유전자 특성2019-09-30공저자:권혁무,교신저자:성환우,주저자:여지인한국가금학회지 = Korean journal of poultry science
7677축산213010053SB120제주흑돈 유전적 특성 구명 및 육종지원정영철제주 흑돈에 대한 생산 및 번식 형질에 대한 분산성분 및 유전모수 추정2019-12-31주저자:이중재농업생명과학연구
7778축산213010053SB240토종 삼계 종자 개발을 위한 교배조합 및 생산체계 확립허정민Estimate of laying performance of two crossbred Korean Native chicken in 20 to 40 weeks2019-12-02주저자:홍준선,교신저자:허정민Korean Journal of Agricultural Science
7879축산213010053SB710GSP 저웅취 국산종돈 개발 및 실용화정종현돼지의 웅취호르몬과 성장 및 번식형질에 대한 유전모수 추정2019-12-30주저자:정종현,공저자:정영철, 이상민, 강다래, 심관섭,교신저자:이중재경상대학교 농생명과학연구
7980축산213010053SB430신품종 토종닭 브랜드마케팅 전략개발문정훈The effects of extrinsic cues on online sales of fresh produce: a focus on geographical indications2019-08-07주저자:이동민,공저자:문정훈,교신저자:류민호CAHIERS AGRICULTURES