Overview

Dataset statistics

Number of variables9
Number of observations322
Missing cells17
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory73.4 B

Variable types

Numeric1
Categorical1
Text6
DateTime1

Dataset

Description2018년 종료 농림식품 융복합 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001346

Alerts

분류 has constant value ""Constant
저자 has 17 (5.3%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:41:14.238142
Analysis finished2023-12-11 03:41:15.310910
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct322
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.5
Minimum1
Maximum322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T12:41:15.382891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.05
Q181.25
median161.5
Q3241.75
95-th percentile305.95
Maximum322
Range321
Interquartile range (IQR)160.5

Descriptive statistics

Standard deviation93.097619
Coefficient of variation (CV)0.57645585
Kurtosis-1.2
Mean161.5
Median Absolute Deviation (MAD)80.5
Skewness0
Sum52003
Variance8667.1667
MonotonicityStrictly increasing
2023-12-11T12:41:15.525653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
243 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
Other values (312) 312
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
농림식품 융복합
322 

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 322
100.0%

Length

2023-12-11T12:41:15.660012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:41:15.749573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 322
50.0%
융복합 322
50.0%

과제번호
Text

Distinct55
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T12:41:15.931458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters2576
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

Unique8 ?
Unique (%)2.5%

Sample

1st row914009-4
2nd row914007-4
3rd row113043-3
4th row113043-3
5th row914002-4
ValueCountFrequency (%)
916006-2 29
 
9.0%
914002-4 24
 
7.5%
914006-4 20
 
6.2%
914005-4 16
 
5.0%
316028-3 13
 
4.0%
315013-4 12
 
3.7%
914007-4 12
 
3.7%
114036-4 11
 
3.4%
315012-3 10
 
3.1%
317044-3 10
 
3.1%
Other values (45) 165
51.2%
2023-12-11T12:41:16.454863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 470
18.2%
0 463
18.0%
- 322
12.5%
3 308
12.0%
4 262
10.2%
6 195
7.6%
9 174
 
6.8%
2 147
 
5.7%
5 107
 
4.2%
7 90
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2254
87.5%
Dash Punctuation 322
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 470
20.9%
0 463
20.5%
3 308
13.7%
4 262
11.6%
6 195
8.7%
9 174
 
7.7%
2 147
 
6.5%
5 107
 
4.7%
7 90
 
4.0%
8 38
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 470
18.2%
0 463
18.0%
- 322
12.5%
3 308
12.0%
4 262
10.2%
6 195
7.6%
9 174
 
6.8%
2 147
 
5.7%
5 107
 
4.2%
7 90
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 470
18.2%
0 463
18.0%
- 322
12.5%
3 308
12.0%
4 262
10.2%
6 195
7.6%
9 174
 
6.8%
2 147
 
5.7%
5 107
 
4.2%
7 90
 
3.5%

과제명
Text

Distinct55
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T12:41:16.865264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length46
Mean length39.341615
Min length22

Characters and Unicode

Total characters12668
Distinct characters306
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)2.5%

Sample

1st row벼와 고추 침해 주요 공기전반 병원성 곰팡이의 발병유전체 분석 및 기능연구
2nd row농업 유용 진핵미생물의 참조유전체 및 오믹스 정보 분석 연구
3rd row감귤 생분해성 바이오셀룰로오스를 활용한 흡수성치주조직재생유도막 개발
4th row감귤 생분해성 바이오셀룰로오스를 활용한 흡수성치주조직재생유도막 개발
5th row김치유산균의 유전체분석 및 생물학적 진화(순화)과정을 통한 김치발효용 스타터균주 개발
ValueCountFrequency (%)
및 225
 
7.2%
개발 145
 
4.6%
분석 83
 
2.7%
기반 66
 
2.1%
정보 64
 
2.0%
통한 60
 
1.9%
이용한 54
 
1.7%
미생물의 53
 
1.7%
연구 48
 
1.5%
소재 47
 
1.5%
Other values (310) 2277
72.9%
2023-12-11T12:41:17.454141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2801
 
22.1%
용 312
 
2.5%
물 280
 
2.2%
기 267
 
2.1%
생 261
 
2.1%
유 248
 
2.0%
발 236
 
1.9%
및 225
 
1.8%
의 204
 
1.6%
개 200
 
1.6%
Other values (296) 7634
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9499
75.0%
Space Separator 2801
 
22.1%
Other Punctuation 114
 
0.9%
Uppercase Letter 96
 
0.8%
Lowercase Letter 49
 
0.4%
Close Punctuation 43
 
0.3%
Open Punctuation 43
 
0.3%
Connector Punctuation 14
 
0.1%
Decimal Number 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 312
 
3.3%
물 280
 
2.9%
기 267
 
2.8%
생 261
 
2.7%
유 248
 
2.6%
발 236
 
2.5%
및 225
 
2.4%
의 204
 
2.1%
개 200
 
2.1%
산 197
 
2.1%
Other values (272) 7069
74.4%
Uppercase Letter
ValueCountFrequency (%)
T 27
28.1%
I 17
17.7%
B 10
 
10.4%
C 10
 
10.4%
D 9
 
9.4%
N 7
 
7.3%
S 7
 
7.3%
G 7
 
7.3%
O 1
 
1.0%
P 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
o 14
28.6%
h 7
14.3%
n 7
14.3%
t 7
14.3%
i 7
14.3%
s 7
14.3%
Other Punctuation
ValueCountFrequency (%)
· 39
34.2%
, 39
34.2%
/ 36
31.6%
Space Separator
ValueCountFrequency (%)
2801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Decimal Number
ValueCountFrequency (%)
3 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9499
75.0%
Common 3024
 
23.9%
Latin 145
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 312
 
3.3%
물 280
 
2.9%
기 267
 
2.8%
생 261
 
2.7%
유 248
 
2.6%
발 236
 
2.5%
및 225
 
2.4%
의 204
 
2.1%
개 200
 
2.1%
산 197
 
2.1%
Other values (272) 7069
74.4%
Latin
ValueCountFrequency (%)
T 27
18.6%
I 17
11.7%
o 14
9.7%
B 10
 
6.9%
C 10
 
6.9%
D 9
 
6.2%
N 7
 
4.8%
S 7
 
4.8%
G 7
 
4.8%
h 7
 
4.8%
Other values (6) 30
20.7%
Common
ValueCountFrequency (%)
2801
92.6%
) 43
 
1.4%
( 43
 
1.4%
· 39
 
1.3%
, 39
 
1.3%
/ 36
 
1.2%
_ 14
 
0.5%
3 9
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9499
75.0%
ASCII 3130
 
24.7%
None 39
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2801
89.5%
) 43
 
1.4%
( 43
 
1.4%
, 39
 
1.2%
/ 36
 
1.2%
T 27
 
0.9%
I 17
 
0.5%
_ 14
 
0.4%
o 14
 
0.4%
B 10
 
0.3%
Other values (13) 86
 
2.7%
Hangul
ValueCountFrequency (%)
용 312
 
3.3%
물 280
 
2.9%
기 267
 
2.8%
생 261
 
2.7%
유 248
 
2.6%
발 236
 
2.5%
및 225
 
2.4%
의 204
 
2.1%
개 200
 
2.1%
산 197
 
2.1%
Other values (272) 7069
74.4%
None
ValueCountFrequency (%)
· 39
100.0%

연구책임자
Text

Distinct52
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T12:41:17.757328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters966
Distinct characters79
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

Unique7 ?
Unique (%)2.2%

Sample

1st row윤성환
2nd row강현아
3rd row임윤묵
4th row임윤묵
5th row전체옥
ValueCountFrequency (%)
반용선 33
 
10.2%
전체옥 24
 
7.5%
배진우 23
 
7.1%
허철성 16
 
5.0%
임융호 13
 
4.0%
강현아 12
 
3.7%
박소영 12
 
3.7%
부희옥 11
 
3.4%
이경환 10
 
3.1%
김진희 10
 
3.1%
Other values (42) 158
49.1%
2023-12-11T12:41:18.244918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 48
 
5.0%
용 40
 
4.1%
진 40
 
4.1%
선 37
 
3.8%
옥 35
 
3.6%
김 34
 
3.5%
이 33
 
3.4%
반 33
 
3.4%
박 31
 
3.2%
환 29
 
3.0%
Other values (69) 606
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 48
 
5.0%
용 40
 
4.1%
진 40
 
4.1%
선 37
 
3.8%
옥 35
 
3.6%
김 34
 
3.5%
이 33
 
3.4%
반 33
 
3.4%
박 31
 
3.2%
환 29
 
3.0%
Other values (69) 606
62.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 966
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 48
 
5.0%
용 40
 
4.1%
진 40
 
4.1%
선 37
 
3.8%
옥 35
 
3.6%
김 34
 
3.5%
이 33
 
3.4%
반 33
 
3.4%
박 31
 
3.2%
환 29
 
3.0%
Other values (69) 606
62.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 966
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 48
 
5.0%
용 40
 
4.1%
진 40
 
4.1%
선 37
 
3.8%
옥 35
 
3.6%
김 34
 
3.5%
이 33
 
3.4%
반 33
 
3.4%
박 31
 
3.2%
환 29
 
3.0%
Other values (69) 606
62.7%

논문명
Text

Distinct313
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T12:41:18.571861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length267
Median length141.5
Mean length105.09006
Min length19

Characters and Unicode

Total characters33839
Distinct characters301
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)94.4%

Sample

1st rowThe white collar complex is involved in sexual development of Fusarium graminearum.
2nd rowHansenula polymorpha Pmt4p plays critical roles in O-mannosylation of surface membrane proteins and participates in heteromeric complex formation
3rd rowDevelopment and characterization of hepatin immobilized bacterials cellulose(BC) for bone tissue engineering using gamma-irradiation
4th rowEfficacy of rhBMP-2 loaded PCL/PLGA/&bgr;-TCP guided bone regeneration membrane fabricated by 3D printing technology for reconstruction of calvaria defects in rabbit
5th rowSource tracking and succession of kimchi lactic acid bacteria during fermentation
ValueCountFrequency (%)
of 317
 
7.1%
and 183
 
4.1%
in 141
 
3.2%
the 114
 
2.5%
a 81
 
1.8%
for 52
 
1.2%
from 46
 
1.0%
on 32
 
0.7%
analysis 26
 
0.6%
isolated 23
 
0.5%
Other values (1813) 3456
77.3%
2023-12-11T12:41:19.076809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4155
 
12.3%
e 2847
 
8.4%
i 2500
 
7.4%
o 2369
 
7.0%
a 2299
 
6.8%
n 2196
 
6.5%
t 2152
 
6.4%
r 1628
 
4.8%
s 1576
 
4.7%
l 1227
 
3.6%
Other values (291) 10890
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26411
78.0%
Space Separator 4155
 
12.3%
Uppercase Letter 1825
 
5.4%
Other Letter 718
 
2.1%
Dash Punctuation 212
 
0.6%
Decimal Number 208
 
0.6%
Other Punctuation 207
 
0.6%
Close Punctuation 45
 
0.1%
Open Punctuation 45
 
0.1%
Math Symbol 7
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 29
 
4.0%
분 18
 
2.5%
에 17
 
2.4%
성 17
 
2.4%
한 16
 
2.2%
리 14
 
1.9%
기 13
 
1.8%
및 12
 
1.7%
산 12
 
1.7%
제 10
 
1.4%
Other values (199) 560
78.0%
Lowercase Letter
ValueCountFrequency (%)
e 2847
10.8%
i 2500
 
9.5%
o 2369
 
9.0%
a 2299
 
8.7%
n 2196
 
8.3%
t 2152
 
8.1%
r 1628
 
6.2%
s 1576
 
6.0%
l 1227
 
4.6%
c 1146
 
4.3%
Other values (19) 6471
24.5%
Uppercase Letter
ValueCountFrequency (%)
C 213
 
11.7%
A 171
 
9.4%
S 146
 
8.0%
P 134
 
7.3%
E 114
 
6.2%
R 110
 
6.0%
I 102
 
5.6%
M 92
 
5.0%
T 91
 
5.0%
L 85
 
4.7%
Other values (18) 567
31.1%
Decimal Number
ValueCountFrequency (%)
1 54
26.0%
3 38
18.3%
2 32
15.4%
0 24
11.5%
4 23
11.1%
6 12
 
5.8%
5 10
 
4.8%
9 8
 
3.8%
8 4
 
1.9%
7 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 98
47.3%
. 64
30.9%
: 18
 
8.7%
/ 17
 
8.2%
' 6
 
2.9%
; 1
 
0.5%
， 1
 
0.5%
′ 1
 
0.5%
& 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 2
28.6%
+ 2
28.6%
< 2
28.6%
= 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 42
93.3%
] 2
 
4.4%
} 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 42
93.3%
[ 2
 
4.4%
{ 1
 
2.2%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
66.7%
“ 1
33.3%
Space Separator
ValueCountFrequency (%)
4155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28231
83.4%
Common 4885
 
14.4%
Hangul 718
 
2.1%
Greek 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 29
 
4.0%
분 18
 
2.5%
에 17
 
2.4%
성 17
 
2.4%
한 16
 
2.2%
리 14
 
1.9%
기 13
 
1.8%
및 12
 
1.7%
산 12
 
1.7%
제 10
 
1.4%
Other values (199) 560
78.0%
Latin
ValueCountFrequency (%)
e 2847
 
10.1%
i 2500
 
8.9%
o 2369
 
8.4%
a 2299
 
8.1%
n 2196
 
7.8%
t 2152
 
7.6%
r 1628
 
5.8%
s 1576
 
5.6%
l 1227
 
4.3%
c 1146
 
4.1%
Other values (42) 8291
29.4%
Common
ValueCountFrequency (%)
4155
85.1%
- 212
 
4.3%
, 98
 
2.0%
. 64
 
1.3%
1 54
 
1.1%
) 42
 
0.9%
( 42
 
0.9%
3 38
 
0.8%
2 32
 
0.7%
0 24
 
0.5%
Other values (25) 124
 
2.5%
Greek
ValueCountFrequency (%)
Ε 1
20.0%
Ο 1
20.0%
κ 1
20.0%
β 1
20.0%
α 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33108
97.8%
Hangul 718
 
2.1%
Punctuation 7
 
< 0.1%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4155
12.5%
e 2847
 
8.6%
i 2500
 
7.6%
o 2369
 
7.2%
a 2299
 
6.9%
n 2196
 
6.6%
t 2152
 
6.5%
r 1628
 
4.9%
s 1576
 
4.8%
l 1227
 
3.7%
Other values (71) 10159
30.7%
Hangul
ValueCountFrequency (%)
의 29
 
4.0%
분 18
 
2.5%
에 17
 
2.4%
성 17
 
2.4%
한 16
 
2.2%
리 14
 
1.9%
기 13
 
1.8%
및 12
 
1.7%
산 12
 
1.7%
제 10
 
1.4%
Other values (199) 560
78.0%
Punctuation
ValueCountFrequency (%)
’ 2
28.6%
‘ 2
28.6%
” 1
14.3%
“ 1
14.3%
′ 1
14.3%
None
ValueCountFrequency (%)
Ε 1
16.7%
Ο 1
16.7%
κ 1
16.7%
β 1
16.7%
α 1
16.7%
， 1
16.7%

학술지 게재일자
Date

Distinct246
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2014-04-24 00:00:00
Maximum2018-12-01 00:00:00
2023-12-11T12:41:19.246298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:41:19.424104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct291
Distinct (%)95.4%
Missing17
Missing (%)5.3%
Memory size2.6 KiB
2023-12-11T12:41:19.837116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length467
Median length183
Mean length97.314754
Min length5

Characters and Unicode

Total characters29681
Distinct characters248
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)90.8%

Sample

1st rowHun Kim,Hee-Kyoung Kim; Seunghoon Lee; Sung-Hwan Yun
2nd rowHyunah Kim (제1저자); ; Hyun Ah Kang(교신저자),Eun Jung Tak; Dong-Jik Lee; Michael O; Agaphonov
3rd row정성린; 정진오,최종배; 신영민; 박종석; 권희정; 노영창; 안성준; 박만용; 임윤묵
4th rowShim, Jin-Hyung;,Yoon, Min-Chul;Jeong, Chang-Mo;Jang, Jinah;Jeong, Sung-In;Cho, Dong-Woo;Huh, Jung-Bo;
5th rowSe Hee Lee,Ji Young Jung; Che Ok Jeon
ValueCountFrequency (%)
1657
25.4%
공저자 954
 
14.6%
주저자 366
 
5.6%
교신(책임)저자 311
 
4.8%
kim 180
 
2.8%
lee 161
 
2.5%
park 59
 
0.9%
choi 51
 
0.8%
jin 43
 
0.7%
eun 38
 
0.6%
Other values (1212) 2695
41.4%
2023-12-11T12:41:20.438143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6215
20.9%
자 1645
 
5.5%
저 1633
 
5.5%
: 1631
 
5.5%
, 1496
 
5.0%
n 1436
 
4.8%
o 1106
 
3.7%
e 991
 
3.3%
공 955
 
3.2%
u 778
 
2.6%
Other values (238) 11795
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8347
28.1%
Other Letter 7795
26.3%
Space Separator 6215
20.9%
Other Punctuation 3238
 
10.9%
Uppercase Letter 3095
 
10.4%
Close Punctuation 331
 
1.1%
Open Punctuation 331
 
1.1%
Dash Punctuation 323
 
1.1%
Decimal Number 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 1645
21.1%
저 1633
20.9%
공 955
12.3%
주 384
 
4.9%
신 328
 
4.2%
임 323
 
4.1%
교 313
 
4.0%
책 311
 
4.0%
김 114
 
1.5%
이 87
 
1.1%
Other values (174) 1702
21.8%
Lowercase Letter
ValueCountFrequency (%)
n 1436
17.2%
o 1106
13.3%
e 991
11.9%
u 778
9.3%
a 750
9.0%
i 702
8.4%
g 625
7.5%
h 391
 
4.7%
m 311
 
3.7%
y 296
 
3.5%
Other values (16) 961
11.5%
Uppercase Letter
ValueCountFrequency (%)
S 386
12.5%
J 377
12.2%
K 360
11.6%
H 331
10.7%
Y 230
 
7.4%
L 218
 
7.0%
C 178
 
5.8%
B 107
 
3.5%
G 96
 
3.1%
M 95
 
3.1%
Other values (16) 717
23.2%
Other Punctuation
ValueCountFrequency (%)
: 1631
50.4%
, 1496
46.2%
; 61
 
1.9%
. 50
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
7 2
40.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
6215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 331
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11442
38.5%
Common 10444
35.2%
Hangul 7795
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 1645
21.1%
저 1633
20.9%
공 955
12.3%
주 384
 
4.9%
신 328
 
4.2%
임 323
 
4.1%
교 313
 
4.0%
책 311
 
4.0%
김 114
 
1.5%
이 87
 
1.1%
Other values (174) 1702
21.8%
Latin
ValueCountFrequency (%)
n 1436
 
12.6%
o 1106
 
9.7%
e 991
 
8.7%
u 778
 
6.8%
a 750
 
6.6%
i 702
 
6.1%
g 625
 
5.5%
h 391
 
3.4%
S 386
 
3.4%
J 377
 
3.3%
Other values (42) 3900
34.1%
Common
ValueCountFrequency (%)
6215
59.5%
: 1631
 
15.6%
, 1496
 
14.3%
) 331
 
3.2%
( 331
 
3.2%
- 323
 
3.1%
; 61
 
0.6%
. 50
 
0.5%
1 2
 
< 0.1%
7 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21886
73.7%
Hangul 7795
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6215
28.4%
: 1631
 
7.5%
, 1496
 
6.8%
n 1436
 
6.6%
o 1106
 
5.1%
e 991
 
4.5%
u 778
 
3.6%
a 750
 
3.4%
i 702
 
3.2%
g 625
 
2.9%
Other values (54) 6156
28.1%
Hangul
ValueCountFrequency (%)
자 1645
21.1%
저 1633
20.9%
공 955
12.3%
주 384
 
4.9%
신 328
 
4.2%
임 323
 
4.1%
교 313
 
4.0%
책 311
 
4.0%
김 114
 
1.5%
이 87
 
1.1%
Other values (174) 1702
21.8%

학술지명
Text

Distinct218
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T12:41:20.816181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length54
Mean length30.180124
Min length4

Characters and Unicode

Total characters9718
Distinct characters154
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)51.2%

Sample

1st rowPloS one
2nd rowPLOS One
3rd rowTissue Engineering and Regenerative Medicine
4th rowBiomedical materials
5th rowJournal of food science
ValueCountFrequency (%)
of 114
 
9.2%
journal 105
 
8.5%
and 72
 
5.8%
microbiology 52
 
4.2%
33
 
2.7%
international 28
 
2.3%
biotechnology 27
 
2.2%
the 27
 
2.2%
plant 22
 
1.8%
korean 21
 
1.7%
Other values (275) 735
59.5%
2023-12-11T12:41:21.468721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 937
 
9.6%
920
 
9.5%
i 713
 
7.3%
n 681
 
7.0%
e 656
 
6.8%
a 607
 
6.2%
r 519
 
5.3%
l 490
 
5.0%
t 480
 
4.9%
c 478
 
4.9%
Other values (144) 3237
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7502
77.2%
Space Separator 920
 
9.5%
Uppercase Letter 883
 
9.1%
Other Letter 328
 
3.4%
Other Punctuation 55
 
0.6%
Math Symbol 15
 
0.2%
Decimal Number 8
 
0.1%
Dash Punctuation 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 35
 
10.7%
회 31
 
9.5%
지 24
 
7.3%
한 19
 
5.8%
국 18
 
5.5%
과 10
 
3.0%
생 9
 
2.7%
식 6
 
1.8%
문 6
 
1.8%
논 6
 
1.8%
Other values (81) 164
50.0%
Lowercase Letter
ValueCountFrequency (%)
o 937
12.5%
i 713
9.5%
n 681
9.1%
e 656
 
8.7%
a 607
 
8.1%
r 519
 
6.9%
l 490
 
6.5%
t 480
 
6.4%
c 478
 
6.4%
s 268
 
3.6%
Other values (16) 1673
22.3%
Uppercase Letter
ValueCountFrequency (%)
J 96
 
10.9%
S 88
 
10.0%
M 71
 
8.0%
B 65
 
7.4%
A 61
 
6.9%
E 55
 
6.2%
C 52
 
5.9%
I 51
 
5.8%
P 50
 
5.7%
O 42
 
4.8%
Other values (13) 252
28.5%
Other Punctuation
ValueCountFrequency (%)
. 22
40.0%
, 12
21.8%
& 10
18.2%
: 10
18.2%
· 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
7 2
25.0%
1 2
25.0%
0 2
25.0%
2 2
25.0%
Space Separator
ValueCountFrequency (%)
920
100.0%
Math Symbol
ValueCountFrequency (%)
= 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8385
86.3%
Common 1005
 
10.3%
Hangul 301
 
3.1%
Han 27
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 35
 
11.6%
회 31
 
10.3%
지 24
 
8.0%
한 19
 
6.3%
국 18
 
6.0%
과 10
 
3.3%
생 9
 
3.0%
식 6
 
2.0%
문 6
 
2.0%
논 6
 
2.0%
Other values (65) 137
45.5%
Latin
ValueCountFrequency (%)
o 937
 
11.2%
i 713
 
8.5%
n 681
 
8.1%
e 656
 
7.8%
a 607
 
7.2%
r 519
 
6.2%
l 490
 
5.8%
t 480
 
5.7%
c 478
 
5.7%
s 268
 
3.2%
Other values (39) 2556
30.5%
Han
ValueCountFrequency (%)
誌 3
11.1%
學 3
11.1%
國 3
11.1%
韓 3
11.1%
會 3
11.1%
物 2
 
7.4%
藥 1
 
3.7%
用 1
 
3.7%
作 1
 
3.7%
資 1
 
3.7%
Other values (6) 6
22.2%
Common
ValueCountFrequency (%)
920
91.5%
. 22
 
2.2%
= 15
 
1.5%
, 12
 
1.2%
& 10
 
1.0%
: 10
 
1.0%
- 5
 
0.5%
7 2
 
0.2%
1 2
 
0.2%
0 2
 
0.2%
Other values (4) 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9389
96.6%
Hangul 300
 
3.1%
CJK 27
 
0.3%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 937
 
10.0%
920
 
9.8%
i 713
 
7.6%
n 681
 
7.3%
e 656
 
7.0%
a 607
 
6.5%
r 519
 
5.5%
l 490
 
5.2%
t 480
 
5.1%
c 478
 
5.1%
Other values (52) 2908
31.0%
Hangul
ValueCountFrequency (%)
학 35
 
11.7%
회 31
 
10.3%
지 24
 
8.0%
한 19
 
6.3%
국 18
 
6.0%
과 10
 
3.3%
생 9
 
3.0%
식 6
 
2.0%
문 6
 
2.0%
논 6
 
2.0%
Other values (64) 136
45.3%
CJK
ValueCountFrequency (%)
誌 3
11.1%
學 3
11.1%
國 3
11.1%
韓 3
11.1%
會 3
11.1%
物 2
 
7.4%
藥 1
 
3.7%
用 1
 
3.7%
作 1
 
3.7%
資 1
 
3.7%
Other values (6) 6
22.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-11T12:41:14.969672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:41:21.616415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.0000.8630.8630.839
과제번호0.8631.0001.0001.000
과제명0.8631.0001.0001.000
연구책임자0.8391.0001.0001.000

Missing values

2023-12-11T12:41:15.096259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:41:15.252049image/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
01농림식품 융복합914009-4벼와 고추 침해 주요 공기전반 병원성 곰팡이의 발병유전체 분석 및 기능연구윤성환The white collar complex is involved in sexual development of Fusarium graminearum.2015-03-18Hun Kim,Hee-Kyoung Kim; Seunghoon Lee; Sung-Hwan YunPloS one
12농림식품 융복합914007-4농업 유용 진핵미생물의 참조유전체 및 오믹스 정보 분석 연구강현아Hansenula polymorpha Pmt4p plays critical roles in O-mannosylation of surface membrane proteins and participates in heteromeric complex formation2015-07-02Hyunah Kim (제1저자); ; Hyun Ah Kang(교신저자),Eun Jung Tak; Dong-Jik Lee; Michael O; AgaphonovPLOS One
23농림식품 융복합113043-3감귤 생분해성 바이오셀룰로오스를 활용한 흡수성치주조직재생유도막 개발임윤묵Development and characterization of hepatin immobilized bacterials cellulose(BC) for bone tissue engineering using gamma-irradiation2014-04-24정성린; 정진오,최종배; 신영민; 박종석; 권희정; 노영창; 안성준; 박만용; 임윤묵Tissue Engineering and Regenerative Medicine
34농림식품 융복합113043-3감귤 생분해성 바이오셀룰로오스를 활용한 흡수성치주조직재생유도막 개발임윤묵Efficacy of rhBMP-2 loaded PCL/PLGA/&bgr;-TCP guided bone regeneration membrane fabricated by 3D printing technology for reconstruction of calvaria defects in rabbit2014-09-16Shim, Jin-Hyung;,Yoon, Min-Chul;Jeong, Chang-Mo;Jang, Jinah;Jeong, Sung-In;Cho, Dong-Woo;Huh, Jung-Bo;Biomedical materials
45농림식품 융복합914002-4김치유산균의 유전체분석 및 생물학적 진화(순화)과정을 통한 김치발효용 스타터균주 개발전체옥Source tracking and succession of kimchi lactic acid bacteria during fermentation2015-08-11Se Hee Lee,Ji Young Jung; Che Ok JeonJournal of food science
56농림식품 융복합914002-4김치유산균의 유전체분석 및 생물학적 진화(순화)과정을 통한 김치발효용 스타터균주 개발전체옥Simple Synthesis of Isomaltooligosaccharides during Sauerkraut Fermentation by addition of Leuconostoc Starter and Sugars2015-08-31Seung Kee Cho,So-Yeon Shin; Soo Jin Lee; Ling Li; Jin Seok Moon; Dong-Jun Kim; Wan-Taek Im; Nam Soo HanFood Science and Biotechnology
67농림식품 융복합914006-4농축산식품 환경 미생물의 메타유전체 정보 분석배진우Metagenomic Analysis of Chicken Gut Microbiota for Improving Metabolism and Health of Chickens2015-09-01Ki Young Choi,Tae Kwon Lee; Woo Jun SulAsian Australasian Journal of Animal Sciences (AJAS)
78농림식품 융복합914006-4농축산식품 환경 미생물의 메타유전체 정보 분석배진우Genomic and Phenotypic Analyses of Carnobacterium jeotgali Strain MS3T, a Lactate Producing Candidate Biopreservative Bacterium Isolated from Salt-Fermented Shrimp2015-05-01Tae Woong Whon,Hyun D-W;Nam Y-D;Kim M-S;Song E-J;Jang Y K;Jung E S;Shin N-R;Oh S J;Kim P S;Kim H S;Lee C H;Bae J-WFEMS Microbiology Letters
89농림식품 융복합914006-4농축산식품 환경 미생물의 메타유전체 정보 분석배진우Complete genome sequence of Haloarcula sp. CBA1115 isolated from non-purified solar salts2015-10-04Ji-Hyun Yun,Hye Seon Song;Seong Woon Roh;Mi-Ja Jung;Pil Soo Kim;Jin-Woo BaeMarine Genomics
910농림식품 융복합914002-4김치유산균의 유전체분석 및 생물학적 진화(순화)과정을 통한 김치발효용 스타터균주 개발전체옥Development of Bile Salt-Resistant Leuconostoc citreum by Expression of Bile Salt Hydrolase Gene2015-12-31주저자 : Seung Kee Cho, 공저자 : Dae-Kyung Kang, 공저자 : Jin Seok Moon, 공저자 : Ling Li, 공저자 : So-Yeon Shin, 공저자 : Soo Jin Lee, 공저자 : Wooha Joo, 교신(책임)저자 : Nam Soo HanJ. Microbiol. Biotechnol.
번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
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318319농림식품 융복합315052-3천연물 유래 성분을 이용한 할랄 인증용 기능성 소재 및 수출용 화장품 개발이범주단백질 분해 효소 처리에 따른 당근추출물의 항산화 활성 및 Collagenase 활성 저해 효과2018-08-27주저자 : Kyo-Hyun Park, 공저자 : Beom Zoo Lee, 공저자 : Mi-Kyung Jeong, 교신(책임)저자 : Bae-Hwan Kim한국미용학회지 = Journal of the Korean Society of Cosmetology
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