Overview

Dataset statistics

Number of variables9
Number of observations215
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory73.6 B

Variable types

Numeric1
Categorical1
Text6
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 식품 R&D 논문정보 공개 농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075473/fileData.do

Alerts

분류 has constant value ""Constant
저자 has 3 (1.4%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:23:54.851150
Analysis finished2023-12-12 07:23:55.951766
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct215
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108
Minimum1
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T16:23:56.036851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.7
Q154.5
median108
Q3161.5
95-th percentile204.3
Maximum215
Range214
Interquartile range (IQR)107

Descriptive statistics

Standard deviation62.209324
Coefficient of variation (CV)0.57601226
Kurtosis-1.2
Mean108
Median Absolute Deviation (MAD)54
Skewness0
Sum23220
Variance3870
MonotonicityStrictly increasing
2023-12-12T16:23:56.189672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
149 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
Other values (205) 205
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식품
215 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품 215
100.0%

Length

2023-12-12T16:23:56.348033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:23:56.465040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품 215
100.0%

과제번호
Text

Distinct102
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T16:23:56.771219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1720
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

Unique55 ?
Unique (%)25.6%

Sample

1st row113045-3
2nd row114088-3
3rd row115005-3
4th row115009-3
5th row115035-3
ValueCountFrequency (%)
710012-3 14
 
6.5%
317040-5 6
 
2.8%
118012-3 6
 
2.8%
918005-4 6
 
2.8%
116119-3 5
 
2.3%
318079-2 5
 
2.3%
318090-3 5
 
2.3%
117060-3 5
 
2.3%
318027-4 5
 
2.3%
119028-3 4
 
1.9%
Other values (92) 154
71.6%
2023-12-12T16:23:57.266604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 385
22.4%
0 272
15.8%
3 266
15.5%
- 215
12.5%
7 103
 
6.0%
9 92
 
5.3%
6 83
 
4.8%
8 80
 
4.7%
4 78
 
4.5%
2 73
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1505
87.5%
Dash Punctuation 215
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 385
25.6%
0 272
18.1%
3 266
17.7%
7 103
 
6.8%
9 92
 
6.1%
6 83
 
5.5%
8 80
 
5.3%
4 78
 
5.2%
2 73
 
4.9%
5 73
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 385
22.4%
0 272
15.8%
3 266
15.5%
- 215
12.5%
7 103
 
6.0%
9 92
 
5.3%
6 83
 
4.8%
8 80
 
4.7%
4 78
 
4.5%
2 73
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 385
22.4%
0 272
15.8%
3 266
15.5%
- 215
12.5%
7 103
 
6.0%
9 92
 
5.3%
6 83
 
4.8%
8 80
 
4.7%
4 78
 
4.5%
2 73
 
4.2%

과제명
Text

Distinct102
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T16:23:57.615093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length47
Mean length36.209302
Min length9

Characters and Unicode

Total characters7785
Distinct characters348
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

Unique55 ?
Unique (%)25.6%

Sample

1st row한국형 생햄(CoreMon) 생산 표준화 및 사업화
2nd row수출용 국산프리미엄맥주의 유통기한 제어기술 개발
3rd row섬쑥부쟁이를 이용한 혈중 요산의 감소에 도움을 주는 건강기능식품 개발
4th row고장초 추출물을 활용한 피부미용개선 기능성 식품소재 개발
5th row신규효소 개량 및 균주스크리닝을 이용한 투라노스 대량생산 및 설탕 대체 감미소재의 산업화
ValueCountFrequency (%)
개발 137
 
7.1%
및 135
 
7.0%
산업화 47
 
2.4%
활용한 46
 
2.4%
소재 34
 
1.8%
위한 34
 
1.8%
제품 29
 
1.5%
기능성 29
 
1.5%
이용한 27
 
1.4%
유래 24
 
1.2%
Other values (483) 1388
71.9%
2023-12-12T16:23:58.167242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1716
 
22.0%
개 217
 
2.8%
기 216
 
2.8%
발 208
 
2.7%
한 164
 
2.1%
품 158
 
2.0%
용 143
 
1.8%
및 135
 
1.7%
유 132
 
1.7%
식 124
 
1.6%
Other values (338) 4572
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5834
74.9%
Space Separator 1716
 
22.0%
Lowercase Letter 133
 
1.7%
Uppercase Letter 34
 
0.4%
Other Punctuation 26
 
0.3%
Dash Punctuation 18
 
0.2%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 217
 
3.7%
기 216
 
3.7%
발 208
 
3.6%
한 164
 
2.8%
품 158
 
2.7%
용 143
 
2.5%
및 135
 
2.3%
유 132
 
2.3%
식 124
 
2.1%
제 118
 
2.0%
Other values (298) 4219
72.3%
Lowercase Letter
ValueCountFrequency (%)
o 17
12.8%
i 16
12.0%
n 14
10.5%
e 12
9.0%
a 10
 
7.5%
l 9
 
6.8%
g 8
 
6.0%
r 8
 
6.0%
b 8
 
6.0%
c 5
 
3.8%
Other values (9) 26
19.5%
Uppercase Letter
ValueCountFrequency (%)
G 7
20.6%
C 5
14.7%
M 4
11.8%
L 3
8.8%
S 3
8.8%
K 2
 
5.9%
R 2
 
5.9%
H 2
 
5.9%
P 2
 
5.9%
E 1
 
2.9%
Other values (3) 3
8.8%
Other Punctuation
ValueCountFrequency (%)
, 18
69.2%
/ 4
 
15.4%
· 4
 
15.4%
Space Separator
ValueCountFrequency (%)
1716
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5834
74.9%
Common 1784
 
22.9%
Latin 167
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 217
 
3.7%
기 216
 
3.7%
발 208
 
3.6%
한 164
 
2.8%
품 158
 
2.7%
용 143
 
2.5%
및 135
 
2.3%
유 132
 
2.3%
식 124
 
2.1%
제 118
 
2.0%
Other values (298) 4219
72.3%
Latin
ValueCountFrequency (%)
o 17
 
10.2%
i 16
 
9.6%
n 14
 
8.4%
e 12
 
7.2%
a 10
 
6.0%
l 9
 
5.4%
g 8
 
4.8%
r 8
 
4.8%
b 8
 
4.8%
G 7
 
4.2%
Other values (22) 58
34.7%
Common
ValueCountFrequency (%)
1716
96.2%
, 18
 
1.0%
- 18
 
1.0%
) 11
 
0.6%
( 11
 
0.6%
/ 4
 
0.2%
· 4
 
0.2%
2 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5834
74.9%
ASCII 1947
 
25.0%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1716
88.1%
, 18
 
0.9%
- 18
 
0.9%
o 17
 
0.9%
i 16
 
0.8%
n 14
 
0.7%
e 12
 
0.6%
) 11
 
0.6%
( 11
 
0.6%
a 10
 
0.5%
Other values (29) 104
 
5.3%
Hangul
ValueCountFrequency (%)
개 217
 
3.7%
기 216
 
3.7%
발 208
 
3.6%
한 164
 
2.8%
품 158
 
2.7%
용 143
 
2.5%
및 135
 
2.3%
유 132
 
2.3%
식 124
 
2.1%
제 118
 
2.0%
Other values (298) 4219
72.3%
None
ValueCountFrequency (%)
· 4
100.0%

연구책임자
Text

Distinct98
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T16:23:58.495384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.0976744
Min length2

Characters and Unicode

Total characters666
Distinct characters102
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)24.7%

Sample

1st row이치호
2nd row홍광원
3rd row한은혜
4th row문주명
5th row박성원
ValueCountFrequency (%)
최상호 14
 
6.4%
강신호 7
 
3.2%
박태선 7
 
3.2%
김유환 6
 
2.8%
황남준 6
 
2.8%
장해춘 6
 
2.8%
김선오 6
 
2.8%
백진경 5
 
2.3%
손미원 5
 
2.3%
조상희 5
 
2.3%
Other values (89) 151
69.3%
2023-12-12T16:23:59.008843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 32
 
4.8%
이 31
 
4.7%
상 29
 
4.4%
선 27
 
4.1%
김 27
 
4.1%
최 22
 
3.3%
원 19
 
2.9%
박 19
 
2.9%
강 17
 
2.6%
정 16
 
2.4%
Other values (92) 427
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 633
95.0%
Uppercase Letter 30
 
4.5%
Space Separator 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 32
 
5.1%
이 31
 
4.9%
상 29
 
4.6%
선 27
 
4.3%
김 27
 
4.3%
최 22
 
3.5%
원 19
 
3.0%
박 19
 
3.0%
강 17
 
2.7%
정 16
 
2.5%
Other values (85) 394
62.2%
Uppercase Letter
ValueCountFrequency (%)
N 9
30.0%
O 6
20.0%
H 6
20.0%
A 3
 
10.0%
J 3
 
10.0%
S 3
 
10.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 633
95.0%
Latin 30
 
4.5%
Common 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 32
 
5.1%
이 31
 
4.9%
상 29
 
4.6%
선 27
 
4.3%
김 27
 
4.3%
최 22
 
3.5%
원 19
 
3.0%
박 19
 
3.0%
강 17
 
2.7%
정 16
 
2.5%
Other values (85) 394
62.2%
Latin
ValueCountFrequency (%)
N 9
30.0%
O 6
20.0%
H 6
20.0%
A 3
 
10.0%
J 3
 
10.0%
S 3
 
10.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 633
95.0%
ASCII 33
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 32
 
5.1%
이 31
 
4.9%
상 29
 
4.6%
선 27
 
4.3%
김 27
 
4.3%
최 22
 
3.5%
원 19
 
3.0%
박 19
 
3.0%
강 17
 
2.7%
정 16
 
2.5%
Other values (85) 394
62.2%
ASCII
ValueCountFrequency (%)
N 9
27.3%
O 6
18.2%
H 6
18.2%
3
 
9.1%
A 3
 
9.1%
J 3
 
9.1%
S 3
 
9.1%

논문명
Text

Distinct200
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T16:23:59.340318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length208
Median length136
Mean length104.2
Min length22

Characters and Unicode

Total characters22403
Distinct characters320
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)86.0%

Sample

1st rowEffects of Boswellia Serrata and Whey Protein Powders on Physicochemical Properties of Pork Patties
2nd rowMalt and wort bio-acidification by <i>Pediococcus acidilactici</i> HW01 as starter culture
3rd rowEffects of Aster glehni Extract on Serum Uric Acid in Subjects with Mild Hyperuricemia: A Randomized, Placebo-Controlled Trial
4th rowAmyloid-ß peptides inhibit the expression of AQP4 and glutamate transporter EAAC1 in insulin-treated C6 glioma cells
5th rowEffect of turanose on the rheology and oil uptake of instant fried noodles
ValueCountFrequency (%)
of 211
 
6.8%
and 149
 
4.8%
in 80
 
2.6%
the 49
 
1.6%
on 48
 
1.5%
a 33
 
1.1%
from 29
 
0.9%
effects 27
 
0.9%
by 24
 
0.8%
with 20
 
0.6%
Other values (1426) 2451
78.5%
2023-12-12T16:23:59.831539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2910
 
13.0%
e 1672
 
7.5%
i 1670
 
7.5%
a 1448
 
6.5%
o 1412
 
6.3%
t 1361
 
6.1%
n 1331
 
5.9%
s 994
 
4.4%
r 982
 
4.4%
c 842
 
3.8%
Other values (310) 7781
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16575
74.0%
Space Separator 2910
 
13.0%
Uppercase Letter 1374
 
6.1%
Other Letter 1091
 
4.9%
Dash Punctuation 167
 
0.7%
Decimal Number 145
 
0.6%
Other Punctuation 109
 
0.5%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Math Symbol 5
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 44
 
4.0%
한 36
 
3.3%
성 33
 
3.0%
리 23
 
2.1%
에 23
 
2.1%
제 20
 
1.8%
구 18
 
1.6%
이 17
 
1.6%
화 16
 
1.5%
조 16
 
1.5%
Other values (226) 845
77.5%
Lowercase Letter
ValueCountFrequency (%)
e 1672
10.1%
i 1670
10.1%
a 1448
 
8.7%
o 1412
 
8.5%
t 1361
 
8.2%
n 1331
 
8.0%
s 994
 
6.0%
r 982
 
5.9%
c 842
 
5.1%
l 763
 
4.6%
Other values (21) 4100
24.7%
Uppercase Letter
ValueCountFrequency (%)
C 143
 
10.4%
P 124
 
9.0%
A 123
 
9.0%
S 105
 
7.6%
E 101
 
7.4%
M 89
 
6.5%
D 80
 
5.8%
I 80
 
5.8%
R 65
 
4.7%
L 64
 
4.7%
Other values (16) 400
29.1%
Decimal Number
ValueCountFrequency (%)
1 32
22.1%
2 25
17.2%
3 24
16.6%
0 17
11.7%
6 13
9.0%
4 10
 
6.9%
5 9
 
6.2%
9 6
 
4.1%
7 6
 
4.1%
8 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 64
58.7%
: 19
 
17.4%
. 19
 
17.4%
/ 3
 
2.8%
' 2
 
1.8%
& 1
 
0.9%
· 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
> 2
40.0%
< 2
40.0%
~ 1
20.0%
Space Separator
ValueCountFrequency (%)
2910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17939
80.1%
Common 3363
 
15.0%
Hangul 1091
 
4.9%
Greek 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 44
 
4.0%
한 36
 
3.3%
성 33
 
3.0%
리 23
 
2.1%
에 23
 
2.1%
제 20
 
1.8%
구 18
 
1.6%
이 17
 
1.6%
화 16
 
1.5%
조 16
 
1.5%
Other values (226) 845
77.5%
Latin
ValueCountFrequency (%)
e 1672
 
9.3%
i 1670
 
9.3%
a 1448
 
8.1%
o 1412
 
7.9%
t 1361
 
7.6%
n 1331
 
7.4%
s 994
 
5.5%
r 982
 
5.5%
c 842
 
4.7%
l 763
 
4.3%
Other values (43) 5464
30.5%
Common
ValueCountFrequency (%)
2910
86.5%
- 167
 
5.0%
, 64
 
1.9%
1 32
 
1.0%
2 25
 
0.7%
3 24
 
0.7%
: 19
 
0.6%
. 19
 
0.6%
0 17
 
0.5%
6 13
 
0.4%
Other values (17) 73
 
2.2%
Greek
ValueCountFrequency (%)
α 3
30.0%
β 3
30.0%
κ 3
30.0%
γ 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21298
95.1%
Hangul 1090
 
4.9%
None 12
 
0.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2910
13.7%
e 1672
 
7.9%
i 1670
 
7.8%
a 1448
 
6.8%
o 1412
 
6.6%
t 1361
 
6.4%
n 1331
 
6.2%
s 994
 
4.7%
r 982
 
4.6%
c 842
 
4.0%
Other values (66) 6676
31.3%
Hangul
ValueCountFrequency (%)
의 44
 
4.0%
한 36
 
3.3%
성 33
 
3.0%
리 23
 
2.1%
에 23
 
2.1%
제 20
 
1.8%
구 18
 
1.7%
이 17
 
1.6%
화 16
 
1.5%
조 16
 
1.5%
Other values (225) 844
77.4%
None
ValueCountFrequency (%)
α 3
25.0%
β 3
25.0%
κ 3
25.0%
ß 1
 
8.3%
γ 1
 
8.3%
· 1
 
8.3%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

학술지게재일
Date

Distinct125
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2020-01-01 00:00:00
Maximum2020-12-31 00:00:00
2023-12-12T16:23:59.959203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:24:00.093895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct197
Distinct (%)92.9%
Missing3
Missing (%)1.4%
Memory size1.8 KiB
2023-12-12T16:24:00.334321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length356
Median length149
Mean length77.962264
Min length9

Characters and Unicode

Total characters16528
Distinct characters232
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

Unique182 ?
Unique (%)85.8%

Sample

1st row주저자 : Fengqi Yang, 교신(책임)저자 : Chi-Ho Lee
2nd row주저자 : 김도영, 공저자 : 김지현, 공저자 : 김진선, 교신(책임)저자 : 김왕준
3rd row주저자 : 이소연, 공저자 : 이상호, 공저자 : 임미경, 공저자 : 한은혜, 교신(책임)저자 : 강성만, 교신(책임)저자 : 강창오
4th row주저자 : Se-Ho Park, 공저자 : Jae-Yeul Lee, 공저자 : Kwang-Hwan Jhee, 교신(책임)저자 : Seun-Ah Yang
5th row주저자 : Imkyung Oh, 공저자 : Yujin Park, 교신(책임)저자 : Suyong Lee
ValueCountFrequency (%)
1010
27.1%
공저자 533
 
14.3%
주저자 251
 
6.7%
교신(책임)저자 215
 
5.8%
kim 99
 
2.7%
lee 71
 
1.9%
park 35
 
0.9%
jeong 23
 
0.6%
jung 16
 
0.4%
hong 16
 
0.4%
Other values (834) 1459
39.1%
2023-12-12T16:24:00.730819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3517
21.3%
자 1000
 
6.1%
: 999
 
6.0%
저 999
 
6.0%
, 811
 
4.9%
n 733
 
4.4%
o 554
 
3.4%
공 533
 
3.2%
e 465
 
2.8%
a 380
 
2.3%
Other values (222) 6537
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5107
30.9%
Lowercase Letter 4119
24.9%
Space Separator 3517
21.3%
Other Punctuation 1826
 
11.0%
Uppercase Letter 1380
 
8.3%
Open Punctuation 215
 
1.3%
Close Punctuation 215
 
1.3%
Dash Punctuation 149
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 1000
19.6%
저 999
19.6%
공 533
10.4%
주 264
 
5.2%
임 231
 
4.5%
신 226
 
4.4%
교 215
 
4.2%
책 215
 
4.2%
이 92
 
1.8%
김 81
 
1.6%
Other values (163) 1251
24.5%
Lowercase Letter
ValueCountFrequency (%)
n 733
17.8%
o 554
13.4%
e 465
11.3%
a 380
9.2%
g 354
8.6%
u 346
8.4%
i 344
8.4%
h 184
 
4.5%
m 169
 
4.1%
y 157
 
3.8%
Other values (16) 433
10.5%
Uppercase Letter
ValueCountFrequency (%)
J 184
13.3%
K 174
12.6%
H 163
11.8%
S 156
11.3%
Y 111
8.0%
L 86
 
6.2%
C 68
 
4.9%
M 61
 
4.4%
G 54
 
3.9%
D 50
 
3.6%
Other values (15) 273
19.8%
Other Punctuation
ValueCountFrequency (%)
: 999
54.7%
, 811
44.4%
. 15
 
0.8%
' 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3517
100.0%
Open Punctuation
ValueCountFrequency (%)
( 215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5922
35.8%
Latin 5499
33.3%
Hangul 5107
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 1000
19.6%
저 999
19.6%
공 533
10.4%
주 264
 
5.2%
임 231
 
4.5%
신 226
 
4.4%
교 215
 
4.2%
책 215
 
4.2%
이 92
 
1.8%
김 81
 
1.6%
Other values (163) 1251
24.5%
Latin
ValueCountFrequency (%)
n 733
13.3%
o 554
 
10.1%
e 465
 
8.5%
a 380
 
6.9%
g 354
 
6.4%
u 346
 
6.3%
i 344
 
6.3%
h 184
 
3.3%
J 184
 
3.3%
K 174
 
3.2%
Other values (41) 1781
32.4%
Common
ValueCountFrequency (%)
3517
59.4%
: 999
 
16.9%
, 811
 
13.7%
( 215
 
3.6%
) 215
 
3.6%
- 149
 
2.5%
. 15
 
0.3%
' 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11421
69.1%
Hangul 5107
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3517
30.8%
: 999
 
8.7%
, 811
 
7.1%
n 733
 
6.4%
o 554
 
4.9%
e 465
 
4.1%
a 380
 
3.3%
g 354
 
3.1%
u 346
 
3.0%
i 344
 
3.0%
Other values (49) 2918
25.5%
Hangul
ValueCountFrequency (%)
자 1000
19.6%
저 999
19.6%
공 533
10.4%
주 264
 
5.2%
임 231
 
4.5%
신 226
 
4.4%
교 215
 
4.2%
책 215
 
4.2%
이 92
 
1.8%
김 81
 
1.6%
Other values (163) 1251
24.5%

학술지명
Text

Distinct139
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T16:24:00.965452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length47
Mean length25.186047
Min length4

Characters and Unicode

Total characters5415
Distinct characters107
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)46.0%

Sample

1st rowFoods
2nd rowFood control
3rd rowJOURNAL OF MEDICINAL FOOD
4th rowToxicology Reports
5th rowINTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
ValueCountFrequency (%)
of 74
 
9.6%
food 61
 
7.9%
and 59
 
7.7%
journal 58
 
7.5%
science 49
 
6.4%
technology 25
 
3.3%
24
 
3.1%
foods 18
 
2.3%
animal 16
 
2.1%
korean 14
 
1.8%
Other values (165) 371
48.2%
2023-12-12T16:24:01.342361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
 
10.2%
o 527
 
9.7%
e 382
 
7.1%
n 381
 
7.0%
i 305
 
5.6%
a 290
 
5.4%
c 281
 
5.2%
r 244
 
4.5%
l 236
 
4.4%
s 177
 
3.3%
Other values (97) 2038
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3818
70.5%
Uppercase Letter 625
 
11.5%
Space Separator 554
 
10.2%
Other Letter 362
 
6.7%
Other Punctuation 32
 
0.6%
Math Symbol 15
 
0.3%
Dash Punctuation 7
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 39
10.8%
회 38
10.5%
지 32
 
8.8%
국 30
 
8.3%
한 30
 
8.3%
식 28
 
7.7%
품 27
 
7.5%
과 23
 
6.4%
생 14
 
3.9%
양 9
 
2.5%
Other values (41) 92
25.4%
Lowercase Letter
ValueCountFrequency (%)
o 527
13.8%
e 382
10.0%
n 381
10.0%
i 305
 
8.0%
a 290
 
7.6%
c 281
 
7.4%
r 244
 
6.4%
l 236
 
6.2%
s 177
 
4.6%
t 172
 
4.5%
Other values (14) 823
21.6%
Uppercase Letter
ValueCountFrequency (%)
F 80
12.8%
J 55
 
8.8%
S 47
 
7.5%
A 45
 
7.2%
O 45
 
7.2%
M 39
 
6.2%
N 37
 
5.9%
T 36
 
5.8%
C 32
 
5.1%
I 29
 
4.6%
Other values (12) 180
28.8%
Other Punctuation
ValueCountFrequency (%)
. 19
59.4%
: 6
 
18.8%
& 5
 
15.6%
· 1
 
3.1%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
554
100.0%
Math Symbol
ValueCountFrequency (%)
= 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4443
82.0%
Common 610
 
11.3%
Hangul 355
 
6.6%
Han 7
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 527
 
11.9%
e 382
 
8.6%
n 381
 
8.6%
i 305
 
6.9%
a 290
 
6.5%
c 281
 
6.3%
r 244
 
5.5%
l 236
 
5.3%
s 177
 
4.0%
t 172
 
3.9%
Other values (36) 1448
32.6%
Hangul
ValueCountFrequency (%)
학 39
11.0%
회 38
10.7%
지 32
 
9.0%
국 30
 
8.5%
한 30
 
8.5%
식 28
 
7.9%
품 27
 
7.6%
과 23
 
6.5%
생 14
 
3.9%
양 9
 
2.5%
Other values (34) 85
23.9%
Common
ValueCountFrequency (%)
554
90.8%
. 19
 
3.1%
= 15
 
2.5%
- 7
 
1.1%
: 6
 
1.0%
& 5
 
0.8%
) 1
 
0.2%
( 1
 
0.2%
· 1
 
0.2%
/ 1
 
0.2%
Han
ValueCountFrequency (%)
會 1
14.3%
誌 1
14.3%
學 1
14.3%
參 1
14.3%
人 1
14.3%
麗 1
14.3%
高 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5052
93.3%
Hangul 355
 
6.6%
CJK 7
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
 
11.0%
o 527
 
10.4%
e 382
 
7.6%
n 381
 
7.5%
i 305
 
6.0%
a 290
 
5.7%
c 281
 
5.6%
r 244
 
4.8%
l 236
 
4.7%
s 177
 
3.5%
Other values (45) 1675
33.2%
Hangul
ValueCountFrequency (%)
학 39
11.0%
회 38
10.7%
지 32
 
9.0%
국 30
 
8.5%
한 30
 
8.5%
식 28
 
7.9%
품 27
 
7.6%
과 23
 
6.5%
생 14
 
3.9%
양 9
 
2.5%
Other values (34) 85
23.9%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
會 1
14.3%
誌 1
14.3%
學 1
14.3%
參 1
14.3%
人 1
14.3%
麗 1
14.3%
高 1
14.3%

Interactions

2023-12-12T16:23:55.584543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:24:01.422059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연구책임자
번호1.0000.995
연구책임자0.9951.000

Missing values

2023-12-12T16:23:55.720352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:23:55.899187image/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
01식품113045-3한국형 생햄(CoreMon) 생산 표준화 및 사업화이치호Effects of Boswellia Serrata and Whey Protein Powders on Physicochemical Properties of Pork Patties2020-03-12주저자 : Fengqi Yang, 교신(책임)저자 : Chi-Ho LeeFoods
12식품114088-3수출용 국산프리미엄맥주의 유통기한 제어기술 개발홍광원Malt and wort bio-acidification by <i>Pediococcus acidilactici</i> HW01 as starter culture2020-08-15주저자 : 김도영, 공저자 : 김지현, 공저자 : 김진선, 교신(책임)저자 : 김왕준Food control
23식품115005-3섬쑥부쟁이를 이용한 혈중 요산의 감소에 도움을 주는 건강기능식품 개발한은혜Effects of Aster glehni Extract on Serum Uric Acid in Subjects with Mild Hyperuricemia: A Randomized, Placebo-Controlled Trial2020-05-12주저자 : 이소연, 공저자 : 이상호, 공저자 : 임미경, 공저자 : 한은혜, 교신(책임)저자 : 강성만, 교신(책임)저자 : 강창오JOURNAL OF MEDICINAL FOOD
34식품115009-3고장초 추출물을 활용한 피부미용개선 기능성 식품소재 개발문주명Amyloid-ß peptides inhibit the expression of AQP4 and glutamate transporter EAAC1 in insulin-treated C6 glioma cells2020-08-31주저자 : Se-Ho Park, 공저자 : Jae-Yeul Lee, 공저자 : Kwang-Hwan Jhee, 교신(책임)저자 : Seun-Ah YangToxicology Reports
45식품115035-3신규효소 개량 및 균주스크리닝을 이용한 투라노스 대량생산 및 설탕 대체 감미소재의 산업화박성원Effect of turanose on the rheology and oil uptake of instant fried noodles2020-09-13주저자 : Imkyung Oh, 공저자 : Yujin Park, 교신(책임)저자 : Suyong LeeINTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
56식품115036-3작두콩을 이용한 면역 조절 기능성을 갖는 건강기능식품의 개발김한영Efficacy and safety of CAEC (Canavalia gladiata arctium lappa extract complex) on immune function enhancement: An 8 week, randomised, double-blind, placebo-controlled clinical trial2020-12-01주저자 : 유이란, 공저자 : 김근회, 공저자 : 김승형, 공저자 : 김한영, 공저자 : 양원경, 공저자 : 양윤정, 공저자 : 이수원, 공저자 : 이윤희, 공저자 : 정솔지, 공저자 : 정인철, 교신(책임)저자 : 박양춘, 교신(책임)저자 : 윤석란Journal of Functional Foods
67식품115044-3천연물 유래(시계꽃 열, 잎) 수면 건강 증진 건강기능식품 소재 효능 평가 및 제품 개발김미연Effects of Passiflora incarnata Linnaeus on polysomnographic sleep parameters in subjects with insomnia disorder: a double-blind randomized placebo-controlled study2020-01-07주저자 : Jeewon Lee, 공저자 : Han-Young Jung, 공저자 : Soyoung Lee, 교신(책임)저자 : Shin-Gyeom KimInternational Clinical Psychopharmacology
78식품116002-3보리발효추출물로부터 기능성물질 분리기술을 응용한 식품 소재개발지희숙Polysaccharide isolated from fermented barley activates innate immune system and anti-tumor metastasis in mice2020-02-03주저자 : Jun Ho Jung, 주저자 : Minjeong Jo, 공저자 : Han Wool Kim , 공저자 : Sue Jung Lee, 공저자 : Taek Joon Yoon, 공저자 : Young Min Chi, 교신(책임)저자 : Kwang-Soon ShinJournal of cereal science
89식품116007-3구기자와 황기 등 복합물질 신소재의 혈당 조절 개선 개별인정형 건강기능식품 개발이택환Chlorogenic Acid Improves Symptoms of Inflammatory Bowel Disease in Interleukin-10 Knockout Mice2020-10-23주저자 : 이영민, 교신(책임)저자 : 신동욱, 교신(책임)저자 : 임병우JOURNAL OF MEDICINAL FOOD
910식품116009-3경남 한방 항노화산업 전략약초 이용 스타상품 개발강민철Platycodon grandiflorus Fermented Extracts Attenuate Endotoxin-Induced Acute Liver Injury in Mice2020-08-01주저자 : So Ra Kim, 공저자 : Eun Jung Park, 공저자 : Hye Jung Kim, 공저자 : Jihyun Je, 공저자 : Kye Man Cho, 공저자 : Kyuho Jeong, 공저자 : Seung Pil Yun, 공저자 : Theodomir Dusabimana, 교신(책임)저자 : Hwajin Kim, 교신(책임)저자 : Sang Won Parknutrients
번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
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