Overview

Dataset statistics

Number of variables9
Number of observations83
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory74.6 B

Variable types

Numeric1
Categorical1
Text6
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 융복합 R&D 논문정보 공개 농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075468/fileData.do

Alerts

분류 has constant value ""Constant
저자 has 2 (2.4%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:20:03.538015
Analysis finished2023-12-12 22:20:04.719050
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-13T07:20:04.787701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q121.5
median42
Q362.5
95-th percentile78.9
Maximum83
Range82
Interquartile range (IQR)41

Descriptive statistics

Standard deviation24.103942
Coefficient of variation (CV)0.57390337
Kurtosis-1.2
Mean42
Median Absolute Deviation (MAD)21
Skewness0
Sum3486
Variance581
MonotonicityStrictly increasing
2023-12-13T07:20:04.914143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
54 1
 
1.2%
62 1
 
1.2%
61 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%
Other values (73) 73
88.0%
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 (%)
83 1
1.2%
82 1
1.2%
81 1
1.2%
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%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
농림식품 융복합
83 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농림식품 융복합 83
100.0%

Length

2023-12-13T07:20:05.057770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:20:05.150929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 83
50.0%
융복합 83
50.0%

과제번호
Text

Distinct47
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T07:20:05.347058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters664
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)36.1%

Sample

1st row114071-3
2nd row115092-2
3rd row116010-3
4th row116027-3
5th row116027-3
ValueCountFrequency (%)
918012-4 9
 
10.8%
918010-4 5
 
6.0%
318104-3 5
 
6.0%
316081-4 4
 
4.8%
918011-4 4
 
4.8%
918013-4 3
 
3.6%
118043-3 3
 
3.6%
315012-3 2
 
2.4%
118042-3 2
 
2.4%
318007-3 2
 
2.4%
Other values (37) 44
53.0%
2023-12-13T07:20:05.754077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 173
26.1%
0 94
14.2%
- 83
12.5%
3 80
12.0%
4 51
 
7.7%
8 44
 
6.6%
9 36
 
5.4%
2 35
 
5.3%
6 32
 
4.8%
7 25
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 581
87.5%
Dash Punctuation 83
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 173
29.8%
0 94
16.2%
3 80
13.8%
4 51
 
8.8%
8 44
 
7.6%
9 36
 
6.2%
2 35
 
6.0%
6 32
 
5.5%
7 25
 
4.3%
5 11
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 664
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 173
26.1%
0 94
14.2%
- 83
12.5%
3 80
12.0%
4 51
 
7.7%
8 44
 
6.6%
9 36
 
5.4%
2 35
 
5.3%
6 32
 
4.8%
7 25
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 173
26.1%
0 94
14.2%
- 83
12.5%
3 80
12.0%
4 51
 
7.7%
8 44
 
6.6%
9 36
 
5.4%
2 35
 
5.3%
6 32
 
4.8%
7 25
 
3.8%

과제명
Text

Distinct47
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T07:20:06.094047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length36.554217
Min length18

Characters and Unicode

Total characters3034
Distinct characters292
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)36.1%

Sample

1st row국내산 농산자원 라이브러리를 활용한 미백 및 항염효능을 지닌 기능성화장품 개발
2nd row페놀성 리그닌 고분자를 활용한 바이오 흡착제 제조 및 활용기술 개발
3rd row국내 자생 솔잎착즙분말을 이용한 체지방 개선 및 건강기능식품 개발
4th row생물전환 기법을 이용한 발효뽕나무의 항비만 효능연구 및 건강기능식품 개발
5th row생물전환 기법을 이용한 발효뽕나무의 항비만 효능연구 및 건강기능식품 개발
ValueCountFrequency (%)
개발 55
 
7.2%
및 51
 
6.7%
농식품 20
 
2.6%
위한 20
 
2.6%
유용 19
 
2.5%
기술 17
 
2.2%
기반 16
 
2.1%
이용한 15
 
2.0%
분석 12
 
1.6%
미생물 12
 
1.6%
Other values (257) 528
69.0%
2023-12-13T07:20:06.554983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
683
 
22.5%
발 76
 
2.5%
용 72
 
2.4%
기 69
 
2.3%
개 68
 
2.2%
유 61
 
2.0%
및 56
 
1.8%
물 50
 
1.6%
품 44
 
1.5%
한 41
 
1.4%
Other values (282) 1814
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2244
74.0%
Space Separator 683
 
22.5%
Uppercase Letter 33
 
1.1%
Lowercase Letter 30
 
1.0%
Other Punctuation 24
 
0.8%
Decimal Number 9
 
0.3%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Initial Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 76
 
3.4%
용 72
 
3.2%
기 69
 
3.1%
개 68
 
3.0%
유 61
 
2.7%
및 56
 
2.5%
물 50
 
2.2%
품 44
 
2.0%
한 41
 
1.8%
산 41
 
1.8%
Other values (247) 1666
74.2%
Lowercase Letter
ValueCountFrequency (%)
i 5
16.7%
e 5
16.7%
a 4
13.3%
l 3
10.0%
s 3
10.0%
c 3
10.0%
t 2
 
6.7%
o 2
 
6.7%
n 1
 
3.3%
g 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
D 7
21.2%
T 7
21.2%
I 6
18.2%
B 3
9.1%
C 3
9.1%
S 2
 
6.1%
W 2
 
6.1%
U 1
 
3.0%
L 1
 
3.0%
E 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 12
50.0%
· 8
33.3%
. 2
 
8.3%
/ 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
3 4
44.4%
0 2
22.2%
1 2
22.2%
9 1
 
11.1%
Space Separator
ValueCountFrequency (%)
683
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2244
74.0%
Common 727
 
24.0%
Latin 63
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 76
 
3.4%
용 72
 
3.2%
기 69
 
3.1%
개 68
 
3.0%
유 61
 
2.7%
및 56
 
2.5%
물 50
 
2.2%
품 44
 
2.0%
한 41
 
1.8%
산 41
 
1.8%
Other values (247) 1666
74.2%
Latin
ValueCountFrequency (%)
D 7
11.1%
T 7
11.1%
I 6
 
9.5%
i 5
 
7.9%
e 5
 
7.9%
a 4
 
6.3%
l 3
 
4.8%
s 3
 
4.8%
c 3
 
4.8%
B 3
 
4.8%
Other values (11) 17
27.0%
Common
ValueCountFrequency (%)
683
93.9%
, 12
 
1.7%
· 8
 
1.1%
( 4
 
0.6%
3 4
 
0.6%
) 4
 
0.6%
0 2
 
0.3%
1 2
 
0.3%
. 2
 
0.3%
/ 2
 
0.3%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2244
74.0%
ASCII 780
 
25.7%
None 8
 
0.3%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
683
87.6%
, 12
 
1.5%
D 7
 
0.9%
T 7
 
0.9%
I 6
 
0.8%
i 5
 
0.6%
e 5
 
0.6%
( 4
 
0.5%
3 4
 
0.5%
a 4
 
0.5%
Other values (22) 43
 
5.5%
Hangul
ValueCountFrequency (%)
발 76
 
3.4%
용 72
 
3.2%
기 69
 
3.1%
개 68
 
3.0%
유 61
 
2.7%
및 56
 
2.5%
물 50
 
2.2%
품 44
 
2.0%
한 41
 
1.8%
산 41
 
1.8%
Other values (247) 1666
74.2%
None
ValueCountFrequency (%)
· 8
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

연구책임자
Text

Distinct44
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T07:20:06.746100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9759036
Min length2

Characters and Unicode

Total characters247
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

Unique27 ?
Unique (%)32.5%

Sample

1st row이상국
2nd row이기훈
3rd row조장희
4th row김경미
5th row김경미
ValueCountFrequency (%)
반용선 11
 
13.3%
신재호 5
 
6.0%
오진우 5
 
6.0%
배진우 4
 
4.8%
김영석 4
 
4.8%
천종식 3
 
3.6%
박상용 3
 
3.6%
박성선 3
 
3.6%
이계완 2
 
2.4%
정종훈 2
 
2.4%
Other values (34) 41
49.4%
2023-12-13T07:20:07.079040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 18
 
7.3%
용 16
 
6.5%
김 12
 
4.9%
반 11
 
4.5%
우 10
 
4.0%
박 10
 
4.0%
정 9
 
3.6%
진 9
 
3.6%
이 9
 
3.6%
상 7
 
2.8%
Other values (51) 136
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 18
 
7.3%
용 16
 
6.5%
김 12
 
4.9%
반 11
 
4.5%
우 10
 
4.0%
박 10
 
4.0%
정 9
 
3.6%
진 9
 
3.6%
이 9
 
3.6%
상 7
 
2.8%
Other values (51) 136
55.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 18
 
7.3%
용 16
 
6.5%
김 12
 
4.9%
반 11
 
4.5%
우 10
 
4.0%
박 10
 
4.0%
정 9
 
3.6%
진 9
 
3.6%
이 9
 
3.6%
상 7
 
2.8%
Other values (51) 136
55.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 18
 
7.3%
용 16
 
6.5%
김 12
 
4.9%
반 11
 
4.5%
우 10
 
4.0%
박 10
 
4.0%
정 9
 
3.6%
진 9
 
3.6%
이 9
 
3.6%
상 7
 
2.8%
Other values (51) 136
55.1%

논문명
Text

Distinct79
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T07:20:07.410601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length194
Median length118
Mean length102.18072
Min length21

Characters and Unicode

Total characters8481
Distinct characters203
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

Unique75 ?
Unique (%)90.4%

Sample

1st rowAnti-Proliferative Activity of Nodosin, a Diterpenoid from Isodon serra, via Regulation of Wnt/β-Catenin Signaling Pathways in Human Colon Cancer Cells
2nd rowSurface-modified spherical lignin particles with superior Cr(VI) removal efficiency
3rd rowAntihypertensive Effects of Dehydroabietic and 4-Epi -trans - communic acid Isolated from Pinus densiflora
4th rowProtective role of fermented mulberry leave extract in LPS-induced inflammation and autuphagy of RAW264.7 macrophage cells
5th rowFermented mulberry (Morus alba) leaves suppress high fat diet-induced hepatic steatosis through amelioration of the inflammatory response and autophagy pathway
ValueCountFrequency (%)
of 77
 
6.8%
and 40
 
3.5%
in 35
 
3.1%
the 25
 
2.2%
for 18
 
1.6%
a 10
 
0.9%
by 9
 
0.8%
on 9
 
0.8%
cells 8
 
0.7%
effects 8
 
0.7%
Other values (692) 891
78.8%
2023-12-13T07:20:07.909444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1047
 
12.3%
e 655
 
7.7%
i 650
 
7.7%
a 590
 
7.0%
o 547
 
6.4%
n 538
 
6.3%
t 508
 
6.0%
r 418
 
4.9%
s 396
 
4.7%
l 324
 
3.8%
Other values (193) 2808
33.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6589
77.7%
Space Separator 1047
 
12.3%
Uppercase Letter 427
 
5.0%
Other Letter 267
 
3.1%
Dash Punctuation 65
 
0.8%
Other Punctuation 40
 
0.5%
Decimal Number 32
 
0.4%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 13
 
4.9%
화 6
 
2.2%
이 6
 
2.2%
가 5
 
1.9%
리 5
 
1.9%
과 5
 
1.9%
에 5
 
1.9%
효 5
 
1.9%
함 5
 
1.9%
을 4
 
1.5%
Other values (126) 208
77.9%
Lowercase Letter
ValueCountFrequency (%)
e 655
 
9.9%
i 650
 
9.9%
a 590
 
9.0%
o 547
 
8.3%
n 538
 
8.2%
t 508
 
7.7%
r 418
 
6.3%
s 396
 
6.0%
l 324
 
4.9%
c 286
 
4.3%
Other values (17) 1677
25.5%
Uppercase Letter
ValueCountFrequency (%)
C 53
12.4%
A 47
 
11.0%
S 36
 
8.4%
P 30
 
7.0%
I 29
 
6.8%
M 26
 
6.1%
D 25
 
5.9%
H 20
 
4.7%
E 18
 
4.2%
T 18
 
4.2%
Other values (14) 125
29.3%
Decimal Number
ValueCountFrequency (%)
3 5
15.6%
4 5
15.6%
2 5
15.6%
0 5
15.6%
7 4
12.5%
6 4
12.5%
1 3
9.4%
5 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 17
42.5%
. 11
27.5%
: 7
17.5%
/ 5
 
12.5%
Space Separator
ValueCountFrequency (%)
1047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7013
82.7%
Common 1198
 
14.1%
Hangul 267
 
3.1%
Greek 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 13
 
4.9%
화 6
 
2.2%
이 6
 
2.2%
가 5
 
1.9%
리 5
 
1.9%
과 5
 
1.9%
에 5
 
1.9%
효 5
 
1.9%
함 5
 
1.9%
을 4
 
1.5%
Other values (126) 208
77.9%
Latin
ValueCountFrequency (%)
e 655
 
9.3%
i 650
 
9.3%
a 590
 
8.4%
o 547
 
7.8%
n 538
 
7.7%
t 508
 
7.2%
r 418
 
6.0%
s 396
 
5.6%
l 324
 
4.6%
c 286
 
4.1%
Other values (40) 2101
30.0%
Common
ValueCountFrequency (%)
1047
87.4%
- 65
 
5.4%
, 17
 
1.4%
. 11
 
0.9%
) 7
 
0.6%
: 7
 
0.6%
( 7
 
0.6%
/ 5
 
0.4%
3 5
 
0.4%
4 5
 
0.4%
Other values (6) 22
 
1.8%
Greek
ValueCountFrequency (%)
β 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8211
96.8%
Hangul 267
 
3.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1047
12.8%
e 655
 
8.0%
i 650
 
7.9%
a 590
 
7.2%
o 547
 
6.7%
n 538
 
6.6%
t 508
 
6.2%
r 418
 
5.1%
s 396
 
4.8%
l 324
 
3.9%
Other values (56) 2538
30.9%
Hangul
ValueCountFrequency (%)
의 13
 
4.9%
화 6
 
2.2%
이 6
 
2.2%
가 5
 
1.9%
리 5
 
1.9%
과 5
 
1.9%
에 5
 
1.9%
효 5
 
1.9%
함 5
 
1.9%
을 4
 
1.5%
Other values (126) 208
77.9%
None
ValueCountFrequency (%)
β 3
100.0%

학술지게재일
Date

Distinct71
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
Minimum2020-01-02 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T07:20:08.079553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:20:08.610536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct77
Distinct (%)95.1%
Missing2
Missing (%)2.4%
Memory size796.0 B
2023-12-13T07:20:09.010439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length379
Median length148
Mean length106.44444
Min length9

Characters and Unicode

Total characters8622
Distinct characters208
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)90.1%

Sample

1st row주저자 : 배은서, 공저자 : 김동화, 공저자 : 김영미, 공저자 : 박헌주, 공저자 : 변웅섭, 공저자 : 진영원, 교신(책임)저자 : 이상국
2nd row주저자 : 곽효원, 공저자 : 이현지, 교신(책임)저자 : 이기훈
3rd row주저자 : 박재영
4th row주저자 : JI EUN KIM, 주저자 : MI RIM LEE, 공저자 : BO RAM SONG, 공저자 : DONG-SEOB KIM, 공저자 : HYUN KEUN SONG, 공저자 : JIN JU PARK, 공저자 : JUN YOUNG CHOI, 공저자 : KYUNG MI KIM, 공저자 : YOUNG WHAN CHOI, 교신(책임)저자 : DAE YOUN HWANG
5th row주저자 : Mi Rim Lee, 공저자 : Hyeon Jun Choi, 공저자 : Ji Eun Kim, 공저자 : Ji Won Park, 공저자 : Jin Tae Hong, 공저자 : Kyung Mi Kim, 공저자 : Mi Ju Kang, 공저자 : Su Ji Bae, 공저자 : Young Whan Choi, 교신(책임)저자 : Dae Youn Hwang
ValueCountFrequency (%)
540
27.4%
공저자 342
17.4%
주저자 97
 
4.9%
교신(책임)저자 93
 
4.7%
kim 40
 
2.0%
lee 30
 
1.5%
park 20
 
1.0%
choi 14
 
0.7%
eun 11
 
0.6%
seo 8
 
0.4%
Other values (489) 776
39.4%
2023-12-13T07:20:09.605984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1894
22.0%
자 536
 
6.2%
: 532
 
6.2%
저 532
 
6.2%
, 465
 
5.4%
n 357
 
4.1%
공 343
 
4.0%
o 283
 
3.3%
e 213
 
2.5%
u 182
 
2.1%
Other values (198) 3285
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2757
32.0%
Lowercase Letter 1969
22.8%
Space Separator 1894
22.0%
Other Punctuation 1003
 
11.6%
Uppercase Letter 749
 
8.7%
Close Punctuation 93
 
1.1%
Open Punctuation 93
 
1.1%
Dash Punctuation 64
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 536
19.4%
저 532
19.3%
공 343
12.4%
주 109
 
4.0%
신 99
 
3.6%
임 99
 
3.6%
교 93
 
3.4%
책 93
 
3.4%
이 61
 
2.2%
김 49
 
1.8%
Other values (142) 743
26.9%
Uppercase Letter
ValueCountFrequency (%)
S 108
14.4%
K 90
12.0%
H 80
10.7%
J 75
10.0%
Y 47
 
6.3%
C 41
 
5.5%
L 40
 
5.3%
M 35
 
4.7%
E 27
 
3.6%
P 25
 
3.3%
Other values (15) 181
24.2%
Lowercase Letter
ValueCountFrequency (%)
n 357
18.1%
o 283
14.4%
e 213
10.8%
u 182
9.2%
g 180
9.1%
a 149
7.6%
i 140
 
7.1%
h 94
 
4.8%
y 65
 
3.3%
m 57
 
2.9%
Other values (14) 249
12.6%
Other Punctuation
ValueCountFrequency (%)
: 532
53.0%
, 465
46.4%
. 6
 
0.6%
Space Separator
ValueCountFrequency (%)
1894
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3147
36.5%
Hangul 2757
32.0%
Latin 2718
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 536
19.4%
저 532
19.3%
공 343
12.4%
주 109
 
4.0%
신 99
 
3.6%
임 99
 
3.6%
교 93
 
3.4%
책 93
 
3.4%
이 61
 
2.2%
김 49
 
1.8%
Other values (142) 743
26.9%
Latin
ValueCountFrequency (%)
n 357
 
13.1%
o 283
 
10.4%
e 213
 
7.8%
u 182
 
6.7%
g 180
 
6.6%
a 149
 
5.5%
i 140
 
5.2%
S 108
 
4.0%
h 94
 
3.5%
K 90
 
3.3%
Other values (39) 922
33.9%
Common
ValueCountFrequency (%)
1894
60.2%
: 532
 
16.9%
, 465
 
14.8%
) 93
 
3.0%
( 93
 
3.0%
- 64
 
2.0%
. 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5865
68.0%
Hangul 2757
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1894
32.3%
: 532
 
9.1%
, 465
 
7.9%
n 357
 
6.1%
o 283
 
4.8%
e 213
 
3.6%
u 182
 
3.1%
g 180
 
3.1%
a 149
 
2.5%
i 140
 
2.4%
Other values (46) 1470
25.1%
Hangul
ValueCountFrequency (%)
자 536
19.4%
저 532
19.3%
공 343
12.4%
주 109
 
4.0%
신 99
 
3.6%
임 99
 
3.6%
교 93
 
3.4%
책 93
 
3.4%
이 61
 
2.2%
김 49
 
1.8%
Other values (142) 743
26.9%

학술지명
Text

Distinct71
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-13T07:20:09.935279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length42
Mean length29.759036
Min length5

Characters and Unicode

Total characters2470
Distinct characters100
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

Unique61 ?
Unique (%)73.5%

Sample

1st rowBiomolecules & Therapeutics
2nd rowChemosphere
3rd rowJournal of Medicinal Food
4th rowMOLECULAR MEDICINE REPORTS
5th rowBMC Complementary Medicine and Theapies
ValueCountFrequency (%)
of 26
 
8.2%
journal 24
 
7.5%
and 21
 
6.6%
13
 
4.1%
chemistry 10
 
3.1%
microbiology 10
 
3.1%
science 9
 
2.8%
sciences 7
 
2.2%
food 7
 
2.2%
engineering 5
 
1.6%
Other values (118) 187
58.6%
2023-12-13T07:20:10.362890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
9.6%
o 197
 
8.0%
n 187
 
7.6%
i 174
 
7.0%
e 166
 
6.7%
a 158
 
6.4%
r 129
 
5.2%
c 123
 
5.0%
l 113
 
4.6%
t 109
 
4.4%
Other values (90) 878
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1814
73.4%
Uppercase Letter 299
 
12.1%
Space Separator 236
 
9.6%
Other Letter 101
 
4.1%
Other Punctuation 11
 
0.4%
Math Symbol 4
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 11
 
10.9%
학 10
 
9.9%
회 9
 
8.9%
한 9
 
8.9%
국 8
 
7.9%
문 4
 
4.0%
논 3
 
3.0%
화 2
 
2.0%
용 2
 
2.0%
과 2
 
2.0%
Other values (36) 41
40.6%
Lowercase Letter
ValueCountFrequency (%)
o 197
10.9%
n 187
10.3%
i 174
9.6%
e 166
9.2%
a 158
8.7%
r 129
 
7.1%
c 123
 
6.8%
l 113
 
6.2%
t 109
 
6.0%
s 81
 
4.5%
Other values (13) 377
20.8%
Uppercase Letter
ValueCountFrequency (%)
I 27
 
9.0%
M 26
 
8.7%
C 24
 
8.0%
J 24
 
8.0%
E 24
 
8.0%
S 23
 
7.7%
T 18
 
6.0%
O 17
 
5.7%
R 17
 
5.7%
N 17
 
5.7%
Other values (13) 82
27.4%
Other Punctuation
ValueCountFrequency (%)
: 6
54.5%
, 3
27.3%
& 2
 
18.2%
Space Separator
ValueCountFrequency (%)
236
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2113
85.5%
Common 256
 
10.4%
Hangul 101
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 197
 
9.3%
n 187
 
8.8%
i 174
 
8.2%
e 166
 
7.9%
a 158
 
7.5%
r 129
 
6.1%
c 123
 
5.8%
l 113
 
5.3%
t 109
 
5.2%
s 81
 
3.8%
Other values (36) 676
32.0%
Hangul
ValueCountFrequency (%)
지 11
 
10.9%
학 10
 
9.9%
회 9
 
8.9%
한 9
 
8.9%
국 8
 
7.9%
문 4
 
4.0%
논 3
 
3.0%
화 2
 
2.0%
용 2
 
2.0%
과 2
 
2.0%
Other values (36) 41
40.6%
Common
ValueCountFrequency (%)
236
92.2%
: 6
 
2.3%
= 4
 
1.6%
, 3
 
1.2%
) 2
 
0.8%
( 2
 
0.8%
& 2
 
0.8%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2369
95.9%
Hangul 101
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
 
10.0%
o 197
 
8.3%
n 187
 
7.9%
i 174
 
7.3%
e 166
 
7.0%
a 158
 
6.7%
r 129
 
5.4%
c 123
 
5.2%
l 113
 
4.8%
t 109
 
4.6%
Other values (44) 777
32.8%
Hangul
ValueCountFrequency (%)
지 11
 
10.9%
학 10
 
9.9%
회 9
 
8.9%
한 9
 
8.9%
국 8
 
7.9%
문 4
 
4.0%
논 3
 
3.0%
화 2
 
2.0%
용 2
 
2.0%
과 2
 
2.0%
Other values (36) 41
40.6%

Interactions

2023-12-13T07:20:04.462029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:20:10.458314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자논문명학술지게재일저자학술지명
번호1.0000.9860.9860.9720.8990.5710.9040.905
과제번호0.9861.0001.0001.0000.9890.9040.9870.985
과제명0.9861.0001.0001.0000.9890.9040.9870.985
연구책임자0.9721.0001.0001.0001.0000.9781.0000.994
논문명0.8990.9890.9891.0001.0001.0001.0001.000
학술지게재일0.5710.9040.9040.9781.0001.0001.0000.994
저자0.9040.9870.9871.0001.0001.0001.0001.000
학술지명0.9050.9850.9850.9941.0000.9941.0001.000

Missing values

2023-12-13T07:20:04.555238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:20:04.674954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
01농림식품 융복합114071-3국내산 농산자원 라이브러리를 활용한 미백 및 항염효능을 지닌 기능성화장품 개발이상국Anti-Proliferative Activity of Nodosin, a Diterpenoid from Isodon serra, via Regulation of Wnt/β-Catenin Signaling Pathways in Human Colon Cancer Cells2020-09-01주저자 : 배은서, 공저자 : 김동화, 공저자 : 김영미, 공저자 : 박헌주, 공저자 : 변웅섭, 공저자 : 진영원, 교신(책임)저자 : 이상국Biomolecules & Therapeutics
12농림식품 융복합115092-2페놀성 리그닌 고분자를 활용한 바이오 흡착제 제조 및 활용기술 개발이기훈Surface-modified spherical lignin particles with superior Cr(VI) removal efficiency2020-01-31주저자 : 곽효원, 공저자 : 이현지, 교신(책임)저자 : 이기훈Chemosphere
23농림식품 융복합116010-3국내 자생 솔잎착즙분말을 이용한 체지방 개선 및 건강기능식품 개발조장희Antihypertensive Effects of Dehydroabietic and 4-Epi -trans - communic acid Isolated from Pinus densiflora2020-12-31주저자 : 박재영Journal of Medicinal Food
34농림식품 융복합116027-3생물전환 기법을 이용한 발효뽕나무의 항비만 효능연구 및 건강기능식품 개발김경미Protective role of fermented mulberry leave extract in LPS-induced inflammation and autuphagy of RAW264.7 macrophage cells2020-05-18주저자 : JI EUN KIM, 주저자 : MI RIM LEE, 공저자 : BO RAM SONG, 공저자 : DONG-SEOB KIM, 공저자 : HYUN KEUN SONG, 공저자 : JIN JU PARK, 공저자 : JUN YOUNG CHOI, 공저자 : KYUNG MI KIM, 공저자 : YOUNG WHAN CHOI, 교신(책임)저자 : DAE YOUN HWANGMOLECULAR MEDICINE REPORTS
45농림식품 융복합116027-3생물전환 기법을 이용한 발효뽕나무의 항비만 효능연구 및 건강기능식품 개발김경미Fermented mulberry (Morus alba) leaves suppress high fat diet-induced hepatic steatosis through amelioration of the inflammatory response and autophagy pathway2020-09-18주저자 : Mi Rim Lee, 공저자 : Hyeon Jun Choi, 공저자 : Ji Eun Kim, 공저자 : Ji Won Park, 공저자 : Jin Tae Hong, 공저자 : Kyung Mi Kim, 공저자 : Mi Ju Kang, 공저자 : Su Ji Bae, 공저자 : Young Whan Choi, 교신(책임)저자 : Dae Youn HwangBMC Complementary Medicine and Theapies
56농림식품 융복합116077-3부잠사를 이용한 인공피부개발용 실크기반 3D 프린팅 바이오잉크의 개발조창열Effect of gelatin on dimensional stability of silk fibroin hydrogel structures fabricated by digital light processing 3D printing2020-06-12주저자 : Hyunji Lee, 공저자 : Donghyeok Shin, 공저자 : Sungchul Shin, 교신(책임)저자 : Jinho HyunJournal of industrial and engineering chemistry
67농림식품 융복합116077-3부잠사를 이용한 인공피부개발용 실크기반 3D 프린팅 바이오잉크의 개발조창열Colorimetric assay of tyrosinase inhibition using melanocyte laden hydrogel fabricated by digital light processing printing2020-01-11주저자 : Hojung Kwak, 공저자 : Sungchul Shin, 교신(책임)저자 : Jinho HyunJournal of industrial and engineering chemistry : JIEC
78농림식품 융복합116078-3사군자 추출물을 이용한 남성 비뇨생식기 건강 개선용 기능성 식품소재 개발임종환Quisqualis indica extract ameliorates low urinary tract symptoms in testosterone propionate-induced benign prostatic hyperplasia rats2020-08-08주저자 : Dae-geon Kim, 공저자 : Hyo-Jeong Kwon, 공저자 : Jong-Hwan Lim, 공저자 : Joo-heon Kim, 교신(책임)저자 : Kyu Pil LeeLaboratory Animal Research
89농림식품 융복합116111-3양자점을 이용한 넓은 적색 스팩트럼을 갖는 고 식물생장용 100W급 LED조명 개발고영욱광질이 베이비 로메인 상추의 생육에 미치는 영향2020-07-31주저자 : 김용득, 공저자 : 권희진, 공저자 : 노유한, 공저자 : 유용환, 공저자 : 이주환, 공저자 : 최인이, 공저자 : 한수정, 교신(책임)저자 : 강호민Journal of agricultural, life and environmental sciences
910농림식품 융복합116120-3수출주도형 농축산식품의 전과정 환경성 평가 및 플랫폼 개발김익Comparison of Product Sustainability of Conventional and Low-Carbon Apples in Korea2020-11-11<NA>Sustainability
번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
7374농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선The novel bZIP transcription factor Fpo1 negatively regulates perithecial development by modulating carbon metabolism in the ascomycete fungus Fusarium graminearum2020-07-13주저자 : 부이둑쿠옹, 주저자 : 신지영, 공저자 : 김시은, 공저자 : 남혜진, 공저자 : 이인원, 공저자 : 임재윤, 공저자 : 정소윤, 공저자 : 최경자, 교신(책임)저자 : 김정은, 교신(책임)저자 : 손호경Environmental microbiology
7475농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선New approaches towards the discovery and evaluation of bioactive peptides from natural resources2020-01-02주저자 : 강남주, 교신(책임)저자 : 이동우Critical reviews in environmental science and technology
7576농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선Fungal kinases and transcription factors regulating brain infection in Cryptococcus neoformans2020-03-23주저자 : 이경태, 주저자 : 이동기, 주저자 : 홍주현, 공저자 : Shang-Jie Yu, 공저자 : Ying-Lien Chen, 공저자 : 이민재, 공저자 : 이예린, 공저자 : 이종승, 공저자 : 임유경, 공저자 : 정광우, 공저자 : 차수연, 공저자 : 황보아름, 교신(책임)저자 : 반용선, 교신(책임)저자 : 정은지Nature communications
7677농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선Identification of keratinases from Fervidobacterium islandicum AW-1 using dynamic gene expression profiling2020-03-01주저자 : 강은주, 교신(책임)저자 : 이동우Microbial biotechnology
7778농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선A Signature-Tagged Mutagenesis (STM)-based murine-infectivity assay for Cryptococcus neoformans2020-09-29주저자 : 정광우, 공저자 : 이경태, 교신(책임)저자 : 반용선The Journal of Microbiology
7879농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선Heat-responsive and time-resolved transcriptome and metabolome analyses of Escherichia coli uncover thermo-tolerant mechanisms2020-10-19주저자 : 김신연, 공저자 : 김영신, 공저자 : 서동호, 공저자 : 유승민, 공저자 : 이상엽, 공저자 : 이충환, 교신(책임)저자 : 윤성호scientific reports
7980농림식품 융복합918012-4농식품 유용 미생물의 다중오믹스 기반 유용 유전자원 발굴 및 가치제고화 기술 개발반용선Genome-wide functional analysis of phosphatases in the pathogenic fungus Cryptococcus neoformans2020-08-24주저자 : 이경태, 주저자 : 진재형, 공저자 : Anna F. Averette, 공저자 : Joseph Heitman, 공저자 : 강현아, 공저자 : 김선우, 공저자 : 김지석, 공저자 : 김진영, 공저자 : 라재원, 공저자 : 서경진, 공저자 : 소이슬, 공저자 : 유성룡, 공저자 : 이동기, 공저자 : 이동필, 공저자 : 이명하, 공저자 : 이민재, 공저자 : 이승헌, 공저자 : 이연선, 공저자 : 이예린, 공저자 : 이용환, 공저자 : 장유병, 공저자 : 장은하, 공저자 : 정광우, 공저자 : 정은지, 공저자 : 정은지, 공저자 : 최예슬, 공저자 : 최재영, 공저자 : 최진태, 공저자 : 최하늘, 공저자 : 탁은정, 공저자 : 홍주현, 교신(책임)저자 : 반용선Nature communications
8081농림식품 융복합918013-4농림축산식품 분야를 위한 메타유전체의 통합 분석을 위한 데이터베이스 및 소프트웨어 개발천종식Metagenomic association analysis of gut symbiont Limosilactobacillus reuteri without host-specific genome isolation2020-11-30주저자 : Sein Park, 공저자 : Ho-Seong Cho, 공저자 : Martin Steinegger, 교신(책임)저자 : Jongsik ChunFrontiers in Microbiology
8182농림식품 융복합918013-4농림축산식품 분야를 위한 메타유전체의 통합 분석을 위한 데이터베이스 및 소프트웨어 개발천종식AnomiGAN: Generative adversarial networks for anonymizing private medical data2020-01-03주저자 : Ho Bae, 공저자 : Dahuin Jung, 공저자 : Hyun-Soo Choi, 교신(책임)저자 : Sungroh YoonPacific Symposium on Biocomputing
8283농림식품 융복합918013-4농림축산식품 분야를 위한 메타유전체의 통합 분석을 위한 데이터베이스 및 소프트웨어 개발천종식DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks2020-08-18주저자 : 배호, 공저자 : 민선우, 공저자 : 최현수, 교신(책임)저자 : 윤성로IEEE Transactions on Computational Biology and Bioinformatics