Overview

Dataset statistics

Number of variables9
Number of observations210
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory73.6 B

Variable types

Numeric1
Categorical1
Text6
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품R&D 중분류 중 농림식품 R&D 식품 논문정보 공개 분류, 과제번호,과제명,연구책임자,논문명,학술지게재일자,저자,학술지명 등 포함
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15025754/fileData.do

Alerts

분류 is highly imbalanced (95.6%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:01:52.047533
Analysis finished2023-12-12 22:01:53.104453
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.5
Minimum1
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T07:01:53.173895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.45
Q153.25
median105.5
Q3157.75
95-th percentile199.55
Maximum210
Range209
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation60.765944
Coefficient of variation (CV)0.57598052
Kurtosis-1.2
Mean105.5
Median Absolute Deviation (MAD)52.5
Skewness0
Sum22155
Variance3692.5
MonotonicityStrictly increasing
2023-12-13T07:01:53.322841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
159 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
Other values (200) 200
95.2%
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 (%)
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%

분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식품
209 
식품산업
 
1

Length

Max length4
Median length2
Mean length2.0095238
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
식품 209
99.5%
식품산업 1
 
0.5%

Length

2023-12-13T07:01:53.466361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:53.605249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품 209
99.5%
식품산업 1
 
0.5%

과제번호
Text

Distinct115
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T07:01:53.888894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1680
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

Unique66 ?
Unique (%)31.4%

Sample

1st row317031-4
2nd row317031-4
3rd row315032-4
4th row316059-2
5th row115003-3
ValueCountFrequency (%)
710012-3 11
 
5.2%
115044-3 6
 
2.9%
714001-7 6
 
2.9%
116005-3 4
 
1.9%
317031-4 4
 
1.9%
316071-3 4
 
1.9%
918015-2 4
 
1.9%
918005-4 4
 
1.9%
118011-3 4
 
1.9%
115002-3 4
 
1.9%
Other values (105) 159
75.7%
2023-12-13T07:01:54.373195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 376
22.4%
3 270
16.1%
0 263
15.7%
- 210
12.5%
4 108
 
6.4%
6 100
 
6.0%
7 97
 
5.8%
5 75
 
4.5%
2 72
 
4.3%
8 63
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1470
87.5%
Dash Punctuation 210
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 376
25.6%
3 270
18.4%
0 263
17.9%
4 108
 
7.3%
6 100
 
6.8%
7 97
 
6.6%
5 75
 
5.1%
2 72
 
4.9%
8 63
 
4.3%
9 46
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1680
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 376
22.4%
3 270
16.1%
0 263
15.7%
- 210
12.5%
4 108
 
6.4%
6 100
 
6.0%
7 97
 
5.8%
5 75
 
4.5%
2 72
 
4.3%
8 63
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 376
22.4%
3 270
16.1%
0 263
15.7%
- 210
12.5%
4 108
 
6.4%
6 100
 
6.0%
7 97
 
5.8%
5 75
 
4.5%
2 72
 
4.3%
8 63
 
3.8%

과제명
Text

Distinct115
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T07:01:54.679080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length45
Mean length35.195238
Min length11

Characters and Unicode

Total characters7391
Distinct characters371
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

Unique66 ?
Unique (%)31.4%

Sample

1st row고령자용 식품의 물성/영양개선을 위한 소재 및 기술 개발과 제품화
2nd row고령자용 식품의 물성/영양개선을 위한 소재 및 기술 개발과 제품화
3rd row두과작물을 활용한 대사질환 및 갱년기질환 개선 기능성 제품 개발
4th row쌀가루를 기반으로 하는 K-스타 디저트 레시피 및 제품 개발
5th row저포화지방 가공식품 제품개발을 위한 고체지방대체제 식물성 올레오젤 개발 및 제품화
ValueCountFrequency (%)
및 126
 
6.7%
개발 122
 
6.5%
활용한 46
 
2.5%
위한 37
 
2.0%
기능성 35
 
1.9%
산업화 34
 
1.8%
식품 34
 
1.8%
소재 32
 
1.7%
개선 26
 
1.4%
제품 25
 
1.3%
Other values (540) 1351
72.3%
2023-12-13T07:01:55.129772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1662
 
22.5%
개 209
 
2.8%
발 193
 
2.6%
기 180
 
2.4%
품 179
 
2.4%
용 154
 
2.1%
한 144
 
1.9%
식 130
 
1.8%
및 126
 
1.7%
능 109
 
1.5%
Other values (361) 4305
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5488
74.3%
Space Separator 1662
 
22.5%
Lowercase Letter 105
 
1.4%
Uppercase Letter 46
 
0.6%
Other Punctuation 24
 
0.3%
Close Punctuation 21
 
0.3%
Open Punctuation 21
 
0.3%
Dash Punctuation 18
 
0.2%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 209
 
3.8%
발 193
 
3.5%
기 180
 
3.3%
품 179
 
3.3%
용 154
 
2.8%
한 144
 
2.6%
식 130
 
2.4%
및 126
 
2.3%
능 109
 
2.0%
성 108
 
2.0%
Other values (318) 3956
72.1%
Lowercase Letter
ValueCountFrequency (%)
o 13
12.4%
a 13
12.4%
n 11
10.5%
e 10
9.5%
i 9
8.6%
t 8
7.6%
l 8
7.6%
r 7
6.7%
d 5
 
4.8%
m 4
 
3.8%
Other values (7) 17
16.2%
Uppercase Letter
ValueCountFrequency (%)
R 7
15.2%
G 5
10.9%
C 5
10.9%
I 5
10.9%
P 4
8.7%
K 4
8.7%
B 4
8.7%
M 2
 
4.3%
H 2
 
4.3%
T 2
 
4.3%
Other values (5) 6
13.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
7 2
33.3%
2 1
16.7%
5 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 12
50.0%
/ 11
45.8%
: 1
 
4.2%
Space Separator
ValueCountFrequency (%)
1662
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5488
74.3%
Common 1752
 
23.7%
Latin 151
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 209
 
3.8%
발 193
 
3.5%
기 180
 
3.3%
품 179
 
3.3%
용 154
 
2.8%
한 144
 
2.6%
식 130
 
2.4%
및 126
 
2.3%
능 109
 
2.0%
성 108
 
2.0%
Other values (318) 3956
72.1%
Latin
ValueCountFrequency (%)
o 13
 
8.6%
a 13
 
8.6%
n 11
 
7.3%
e 10
 
6.6%
i 9
 
6.0%
t 8
 
5.3%
l 8
 
5.3%
r 7
 
4.6%
R 7
 
4.6%
G 5
 
3.3%
Other values (22) 60
39.7%
Common
ValueCountFrequency (%)
1662
94.9%
) 21
 
1.2%
( 21
 
1.2%
- 18
 
1.0%
· 12
 
0.7%
/ 11
 
0.6%
1 2
 
0.1%
7 2
 
0.1%
2 1
 
0.1%
: 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5488
74.3%
ASCII 1891
 
25.6%
None 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1662
87.9%
) 21
 
1.1%
( 21
 
1.1%
- 18
 
1.0%
o 13
 
0.7%
a 13
 
0.7%
/ 11
 
0.6%
n 11
 
0.6%
e 10
 
0.5%
i 9
 
0.5%
Other values (32) 102
 
5.4%
Hangul
ValueCountFrequency (%)
개 209
 
3.8%
발 193
 
3.5%
기 180
 
3.3%
품 179
 
3.3%
용 154
 
2.8%
한 144
 
2.6%
식 130
 
2.4%
및 126
 
2.3%
능 109
 
2.0%
성 108
 
2.0%
Other values (318) 3956
72.1%
None
ValueCountFrequency (%)
· 12
100.0%

연구책임자
Text

Distinct109
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T07:01:55.493168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.0238095
Min length2

Characters and Unicode

Total characters635
Distinct characters116
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

Unique62 ?
Unique (%)29.5%

Sample

1st row변명희
2nd row변명희
3rd row박기훈
4th row이광락
5th row이종길
ValueCountFrequency (%)
최상호 11
 
5.2%
박태선 9
 
4.3%
김미연 6
 
2.8%
정윤화 6
 
2.8%
김선오 5
 
2.4%
백현동 4
 
1.9%
신한재 4
 
1.9%
최용석 4
 
1.9%
김동현 4
 
1.9%
장성호 4
 
1.9%
Other values (100) 154
73.0%
2023-12-13T07:01:55.961845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 39
 
6.1%
이 31
 
4.9%
호 25
 
3.9%
정 22
 
3.5%
박 22
 
3.5%
최 21
 
3.3%
상 20
 
3.1%
선 17
 
2.7%
미 17
 
2.7%
윤 17
 
2.7%
Other values (106) 404
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
98.3%
Uppercase Letter 10
 
1.6%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 39
 
6.2%
이 31
 
5.0%
호 25
 
4.0%
정 22
 
3.5%
박 22
 
3.5%
최 21
 
3.4%
상 20
 
3.2%
선 17
 
2.7%
미 17
 
2.7%
윤 17
 
2.7%
Other values (99) 393
63.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
30.0%
H 2
20.0%
O 2
20.0%
A 1
 
10.0%
S 1
 
10.0%
J 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
98.3%
Latin 10
 
1.6%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 39
 
6.2%
이 31
 
5.0%
호 25
 
4.0%
정 22
 
3.5%
박 22
 
3.5%
최 21
 
3.4%
상 20
 
3.2%
선 17
 
2.7%
미 17
 
2.7%
윤 17
 
2.7%
Other values (99) 393
63.0%
Latin
ValueCountFrequency (%)
N 3
30.0%
H 2
20.0%
O 2
20.0%
A 1
 
10.0%
S 1
 
10.0%
J 1
 
10.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 624
98.3%
ASCII 11
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 39
 
6.2%
이 31
 
5.0%
호 25
 
4.0%
정 22
 
3.5%
박 22
 
3.5%
최 21
 
3.4%
상 20
 
3.2%
선 17
 
2.7%
미 17
 
2.7%
윤 17
 
2.7%
Other values (99) 393
63.0%
ASCII
ValueCountFrequency (%)
N 3
27.3%
H 2
18.2%
O 2
18.2%
A 1
 
9.1%
S 1
 
9.1%
1
 
9.1%
J 1
 
9.1%

논문명
Text

Distinct198
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T07:01:56.268437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length281
Median length134
Mean length101.65714
Min length10

Characters and Unicode

Total characters21348
Distinct characters352
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

Unique186 ?
Unique (%)88.6%

Sample

1st row데치기 조건에 따른 우엉 연근 및 마늘종의 이화학적 특성 변화
2nd rowEffects of Temperature and Time on the Cookery Properties of Sous-vide Processed Pork Loin
3rd rowComparisons of nutritional constituents in soybeans during solid state fermentation times and screening for their glucosidase enzymes and antioxidant properties
4th rowVariations in U.S. consumers' acceptability of commercially-available rice-based milk alternatives with respect to sensory attributes and food neophobia traits
5th rowDetermination of Fat Accumulation Reduction by Edible Fatty Acids and Natural Waxes In Vitro
ValueCountFrequency (%)
of 198
 
6.6%
and 125
 
4.2%
in 70
 
2.3%
on 53
 
1.8%
the 46
 
1.5%
by 37
 
1.2%
a 34
 
1.1%
effects 29
 
1.0%
with 25
 
0.8%
for 25
 
0.8%
Other values (1387) 2351
78.5%
2023-12-13T07:01:56.771967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2792
 
13.1%
e 1560
 
7.3%
i 1530
 
7.2%
a 1433
 
6.7%
t 1390
 
6.5%
o 1259
 
5.9%
n 1239
 
5.8%
r 946
 
4.4%
s 852
 
4.0%
c 799
 
3.7%
Other values (342) 7548
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15637
73.2%
Space Separator 2792
 
13.1%
Other Letter 1332
 
6.2%
Uppercase Letter 1224
 
5.7%
Dash Punctuation 153
 
0.7%
Decimal Number 128
 
0.6%
Other Punctuation 38
 
0.2%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 70
 
5.3%
성 39
 
2.9%
물 32
 
2.4%
에 28
 
2.1%
한 27
 
2.0%
화 27
 
2.0%
분 24
 
1.8%
출 23
 
1.7%
효 23
 
1.7%
가 22
 
1.7%
Other values (264) 1017
76.4%
Lowercase Letter
ValueCountFrequency (%)
e 1560
 
10.0%
i 1530
 
9.8%
a 1433
 
9.2%
t 1390
 
8.9%
o 1259
 
8.1%
n 1239
 
7.9%
r 946
 
6.0%
s 852
 
5.4%
c 799
 
5.1%
l 689
 
4.4%
Other values (19) 3940
25.2%
Uppercase Letter
ValueCountFrequency (%)
A 121
 
9.9%
S 121
 
9.9%
C 106
 
8.7%
E 101
 
8.3%
P 89
 
7.3%
I 79
 
6.5%
L 66
 
5.4%
R 60
 
4.9%
M 58
 
4.7%
B 57
 
4.7%
Other values (15) 366
29.9%
Decimal Number
ValueCountFrequency (%)
2 29
22.7%
1 28
21.9%
6 13
10.2%
4 12
9.4%
7 12
9.4%
0 11
 
8.6%
3 10
 
7.8%
5 7
 
5.5%
8 3
 
2.3%
9 3
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 19
50.0%
: 10
26.3%
/ 5
 
13.2%
& 3
 
7.9%
' 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 19
95.0%
] 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 19
95.0%
[ 1
 
5.0%
Other Symbol
ValueCountFrequency (%)
® 2
66.7%
℃ 1
33.3%
Space Separator
ValueCountFrequency (%)
2792
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16855
79.0%
Common 3155
 
14.8%
Hangul 1332
 
6.2%
Greek 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 70
 
5.3%
성 39
 
2.9%
물 32
 
2.4%
에 28
 
2.1%
한 27
 
2.0%
화 27
 
2.0%
분 24
 
1.8%
출 23
 
1.7%
효 23
 
1.7%
가 22
 
1.7%
Other values (264) 1017
76.4%
Latin
ValueCountFrequency (%)
e 1560
 
9.3%
i 1530
 
9.1%
a 1433
 
8.5%
t 1390
 
8.2%
o 1259
 
7.5%
n 1239
 
7.4%
r 946
 
5.6%
s 852
 
5.1%
c 799
 
4.7%
l 689
 
4.1%
Other values (41) 5158
30.6%
Common
ValueCountFrequency (%)
2792
88.5%
- 153
 
4.8%
2 29
 
0.9%
1 28
 
0.9%
) 19
 
0.6%
( 19
 
0.6%
. 19
 
0.6%
6 13
 
0.4%
4 12
 
0.4%
7 12
 
0.4%
Other values (14) 59
 
1.9%
Greek
ValueCountFrequency (%)
β 4
66.7%
κ 1
 
16.7%
α 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20007
93.7%
Hangul 1332
 
6.2%
None 8
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2792
14.0%
e 1560
 
7.8%
i 1530
 
7.6%
a 1433
 
7.2%
t 1390
 
6.9%
o 1259
 
6.3%
n 1239
 
6.2%
r 946
 
4.7%
s 852
 
4.3%
c 799
 
4.0%
Other values (63) 6207
31.0%
Hangul
ValueCountFrequency (%)
의 70
 
5.3%
성 39
 
2.9%
물 32
 
2.4%
에 28
 
2.1%
한 27
 
2.0%
화 27
 
2.0%
분 24
 
1.8%
출 23
 
1.7%
효 23
 
1.7%
가 22
 
1.7%
Other values (264) 1017
76.4%
None
ValueCountFrequency (%)
β 4
50.0%
® 2
25.0%
κ 1
 
12.5%
α 1
 
12.5%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

학술지게재일자
Date

Distinct117
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2019-01-01 00:00:00
Maximum2019-12-31 00:00:00
2023-12-13T07:01:56.923392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:57.045006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct200
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T07:01:57.288002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length190
Median length142
Mean length54.92381
Min length7

Characters and Unicode

Total characters11534
Distinct characters233
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)91.0%

Sample

1st row주저자:황수인공저자:윤영찬공저자:이은정교신저자:홍근표
2nd row주저자:Su-In Hwang공저자:Eun-Jung Lee교신저자:Geun-Pyo Hong
3rd row주저자:Jin Hwan Lee공저자:Chung Eun Hwang공저자:Kwang Sik Son교신저자:Kye Man Cho
4th row주저자:Pramudya Ragita C.공저자:Lee Jihyun공저자:Chapko Matthew J.공저자:Lee KwangRag공저자:Lee Sunghee공저자:Lee JunYoung공저자:Tokar Tonya교신저자:Seo Han-Seok
5th row교신저자:박성권주저자:Uttapon Issara
ValueCountFrequency (%)
kim 22
 
2.4%
lee 16
 
1.8%
young 11
 
1.2%
jung 9
 
1.0%
hyun 6
 
0.7%
hwan 6
 
0.7%
jin 6
 
0.7%
seo 5
 
0.6%
ho 5
 
0.6%
yang 5
 
0.6%
Other values (680) 812
89.9%
2023-12-13T07:01:57.702651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 958
 
8.3%
저 954
 
8.3%
: 953
 
8.3%
702
 
6.1%
n 698
 
6.1%
공 508
 
4.4%
o 502
 
4.4%
e 419
 
3.6%
u 364
 
3.2%
g 339
 
2.9%
Other values (223) 5137
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4553
39.5%
Lowercase Letter 3697
32.1%
Uppercase Letter 1420
 
12.3%
Other Punctuation 972
 
8.4%
Space Separator 702
 
6.1%
Dash Punctuation 173
 
1.5%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Decimal Number 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 958
21.0%
저 954
21.0%
공 508
11.2%
주 259
 
5.7%
신 205
 
4.5%
교 194
 
4.3%
김 103
 
2.3%
이 75
 
1.6%
정 55
 
1.2%
현 54
 
1.2%
Other values (164) 1188
26.1%
Uppercase Letter
ValueCountFrequency (%)
S 171
12.0%
J 170
12.0%
H 165
11.6%
K 157
11.1%
Y 124
 
8.7%
L 98
 
6.9%
C 74
 
5.2%
M 49
 
3.5%
N 49
 
3.5%
P 43
 
3.0%
Other values (16) 320
22.5%
Lowercase Letter
ValueCountFrequency (%)
n 698
18.9%
o 502
13.6%
e 419
11.3%
u 364
9.8%
g 339
9.2%
a 328
8.9%
i 262
 
7.1%
h 157
 
4.2%
y 155
 
4.2%
m 114
 
3.1%
Other values (14) 359
9.7%
Other Punctuation
ValueCountFrequency (%)
: 953
98.0%
. 16
 
1.6%
; 3
 
0.3%
Space Separator
ValueCountFrequency (%)
702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5117
44.4%
Hangul 4553
39.5%
Common 1864
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 958
21.0%
저 954
21.0%
공 508
11.2%
주 259
 
5.7%
신 205
 
4.5%
교 194
 
4.3%
김 103
 
2.3%
이 75
 
1.6%
정 55
 
1.2%
현 54
 
1.2%
Other values (164) 1188
26.1%
Latin
ValueCountFrequency (%)
n 698
13.6%
o 502
 
9.8%
e 419
 
8.2%
u 364
 
7.1%
g 339
 
6.6%
a 328
 
6.4%
i 262
 
5.1%
S 171
 
3.3%
J 170
 
3.3%
H 165
 
3.2%
Other values (40) 1699
33.2%
Common
ValueCountFrequency (%)
: 953
51.1%
702
37.7%
- 173
 
9.3%
. 16
 
0.9%
( 7
 
0.4%
) 7
 
0.4%
; 3
 
0.2%
1 2
 
0.1%
’ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6980
60.5%
Hangul 4553
39.5%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 958
21.0%
저 954
21.0%
공 508
11.2%
주 259
 
5.7%
신 205
 
4.5%
교 194
 
4.3%
김 103
 
2.3%
이 75
 
1.6%
정 55
 
1.2%
현 54
 
1.2%
Other values (164) 1188
26.1%
ASCII
ValueCountFrequency (%)
: 953
13.7%
702
 
10.1%
n 698
 
10.0%
o 502
 
7.2%
e 419
 
6.0%
u 364
 
5.2%
g 339
 
4.9%
a 328
 
4.7%
i 262
 
3.8%
- 173
 
2.5%
Other values (48) 2240
32.1%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

학술지명
Text

Distinct135
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T07:01:57.954162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length51
Mean length30.642857
Min length5

Characters and Unicode

Total characters6435
Distinct characters118
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

Unique102 ?
Unique (%)48.6%

Sample

1st row산업식품공학 = Food engineering progress
2nd rowFood science of animal resources
3rd rowFood chemistry
4th rowJournal of sensory studies
5th rowFood science of animal resources
ValueCountFrequency (%)
of 102
 
11.2%
food 81
 
8.9%
journal 75
 
8.3%
52
 
5.7%
science 51
 
5.6%
and 40
 
4.4%
the 20
 
2.2%
korean 20
 
2.2%
chemistry 17
 
1.9%
technology 13
 
1.4%
Other values (187) 437
48.1%
2023-12-13T07:01:58.341371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
 
10.9%
o 698
 
10.8%
e 452
 
7.0%
n 438
 
6.8%
i 403
 
6.3%
a 367
 
5.7%
c 342
 
5.3%
r 303
 
4.7%
l 278
 
4.3%
t 251
 
3.9%
Other values (108) 2203
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4791
74.5%
Space Separator 700
 
10.9%
Other Letter 458
 
7.1%
Uppercase Letter 407
 
6.3%
Other Punctuation 49
 
0.8%
Math Symbol 22
 
0.3%
Dash Punctuation 6
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 50
 
10.9%
식 41
 
9.0%
회 40
 
8.7%
품 39
 
8.5%
한 33
 
7.2%
지 33
 
7.2%
국 32
 
7.0%
과 23
 
5.0%
산 16
 
3.5%
업 13
 
2.8%
Other values (53) 138
30.1%
Lowercase Letter
ValueCountFrequency (%)
o 698
14.6%
e 452
9.4%
n 438
9.1%
i 403
 
8.4%
a 367
 
7.7%
c 342
 
7.1%
r 303
 
6.3%
l 278
 
5.8%
t 251
 
5.2%
s 202
 
4.2%
Other values (15) 1057
22.1%
Uppercase Letter
ValueCountFrequency (%)
F 71
17.4%
J 59
14.5%
S 40
9.8%
B 26
 
6.4%
M 24
 
5.9%
C 23
 
5.7%
I 23
 
5.7%
T 21
 
5.2%
P 21
 
5.2%
K 20
 
4.9%
Other values (12) 79
19.4%
Other Punctuation
ValueCountFrequency (%)
& 18
36.7%
. 17
34.7%
: 14
28.6%
Space Separator
ValueCountFrequency (%)
700
100.0%
Math Symbol
ValueCountFrequency (%)
= 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5198
80.8%
Common 779
 
12.1%
Hangul 436
 
6.8%
Han 22
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 698
13.4%
e 452
 
8.7%
n 438
 
8.4%
i 403
 
7.8%
a 367
 
7.1%
c 342
 
6.6%
r 303
 
5.8%
l 278
 
5.3%
t 251
 
4.8%
s 202
 
3.9%
Other values (37) 1464
28.2%
Hangul
ValueCountFrequency (%)
학 50
11.5%
식 41
 
9.4%
회 40
 
9.2%
품 39
 
8.9%
한 33
 
7.6%
지 33
 
7.6%
국 32
 
7.3%
과 23
 
5.3%
산 16
 
3.7%
업 13
 
3.0%
Other values (36) 116
26.6%
Han
ValueCountFrequency (%)
韓 2
 
9.1%
會 2
 
9.1%
誌 2
 
9.1%
科 2
 
9.1%
學 2
 
9.1%
大 1
 
4.5%
齒 1
 
4.5%
醫 1
 
4.5%
師 1
 
4.5%
環 1
 
4.5%
Other values (7) 7
31.8%
Common
ValueCountFrequency (%)
700
89.9%
= 22
 
2.8%
& 18
 
2.3%
. 17
 
2.2%
: 14
 
1.8%
- 6
 
0.8%
] 1
 
0.1%
[ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5977
92.9%
Hangul 436
 
6.8%
CJK 22
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
11.7%
o 698
 
11.7%
e 452
 
7.6%
n 438
 
7.3%
i 403
 
6.7%
a 367
 
6.1%
c 342
 
5.7%
r 303
 
5.1%
l 278
 
4.7%
t 251
 
4.2%
Other values (45) 1745
29.2%
Hangul
ValueCountFrequency (%)
학 50
11.5%
식 41
 
9.4%
회 40
 
9.2%
품 39
 
8.9%
한 33
 
7.6%
지 33
 
7.6%
국 32
 
7.3%
과 23
 
5.3%
산 16
 
3.7%
업 13
 
3.0%
Other values (36) 116
26.6%
CJK
ValueCountFrequency (%)
韓 2
 
9.1%
會 2
 
9.1%
誌 2
 
9.1%
科 2
 
9.1%
學 2
 
9.1%
大 1
 
4.5%
齒 1
 
4.5%
醫 1
 
4.5%
師 1
 
4.5%
環 1
 
4.5%
Other values (7) 7
31.8%

Interactions

2023-12-13T07:01:52.755981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:01:58.429061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류
번호1.0000.019
분류0.0191.000
2023-12-13T07:01:58.501244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류
번호1.0000.000
분류0.0001.000

Missing values

2023-12-13T07:01:52.872747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:01:53.056221image/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
01식품317031-4고령자용 식품의 물성/영양개선을 위한 소재 및 기술 개발과 제품화변명희데치기 조건에 따른 우엉 연근 및 마늘종의 이화학적 특성 변화2019-02-01주저자:황수인공저자:윤영찬공저자:이은정교신저자:홍근표산업식품공학 = Food engineering progress
12식품317031-4고령자용 식품의 물성/영양개선을 위한 소재 및 기술 개발과 제품화변명희Effects of Temperature and Time on the Cookery Properties of Sous-vide Processed Pork Loin2019-02-01주저자:Su-In Hwang공저자:Eun-Jung Lee교신저자:Geun-Pyo HongFood science of animal resources
23식품315032-4두과작물을 활용한 대사질환 및 갱년기질환 개선 기능성 제품 개발박기훈Comparisons of nutritional constituents in soybeans during solid state fermentation times and screening for their glucosidase enzymes and antioxidant properties2019-01-30주저자:Jin Hwan Lee공저자:Chung Eun Hwang공저자:Kwang Sik Son교신저자:Kye Man ChoFood chemistry
34식품316059-2쌀가루를 기반으로 하는 K-스타 디저트 레시피 및 제품 개발이광락Variations in U.S. consumers' acceptability of commercially-available rice-based milk alternatives with respect to sensory attributes and food neophobia traits2019-06-02주저자:Pramudya Ragita C.공저자:Lee Jihyun공저자:Chapko Matthew J.공저자:Lee KwangRag공저자:Lee Sunghee공저자:Lee JunYoung공저자:Tokar Tonya교신저자:Seo Han-SeokJournal of sensory studies
45식품115003-3저포화지방 가공식품 제품개발을 위한 고체지방대체제 식물성 올레오젤 개발 및 제품화이종길Determination of Fat Accumulation Reduction by Edible Fatty Acids and Natural Waxes In Vitro2019-07-01교신저자:박성권주저자:Uttapon IssaraFood science of animal resources
56식품710012-3독성인자 조절자 제어 선도물질 유도체들의 구조-활성 상관관계 분석최상호Combination effect of saturated or superheated steam and lactic acid on the inactivation of Escherichia coli O157:H7 Salmonella Typhimurium and Listeria monocytogenes on cantaloupe surfaces2019-03-11주저자:Sun-Ah Kown공저자:Won-Jae Song교신저자:Dong-Hyun KangFood microbiology
67식품118059-2차세대 푸드테크 구현을 위한 마이크로디스펜싱 기반 신가공 생산 기기 개발최근식식품소재화를 위한 Calendula officinalis L. 꽃잎의 항피부노화 기능성 규명 및 비효소적 연화 기술 연구2019-06-30주저자:임석원 최성빈 이범주 김형섭 이다영 변상균한국식품과학회지 = Korean journal of food science and technology
78식품116034-3나트륨 저감 및 생체내 흡수율 억제기술을 활용한 건강지향형 고품질 육제품 개발 및 산업화박태선Impact of partial substitution of NaCl by KCl and MgCl 2 on physicochemical and sensory properties of cooked sausages during storage2019-01-01주저자:진상근공저자:허선진교신저자:임동균Asian Australasian J. of Animal Sciences
89식품118058-2모나콜린 K 고함유 홍국을 이용한 한국형 수제맥주 제조공정기술 개발 및 산업화전은경일반 및 가공용 쌀 발아현미로 제조한 홍국쌀의 Monacolin K 함량과 항산화 성분 비교2019-01-31주저자:오현아공저자:김민영공저자:이윤정공저자:송명섭공저자:이준수교신저자:정헌상한국식품영양과학회지
910식품315065-3식품 산업 현장의 나노기술 적용확대를 위한 천연 보존 소재 및 제품 개발윤태미structural insights into the binding behavior of isoflavonoid glabridin with human serum albumin2019-01-14주저자:Md. Abdur Razzak공저자:Ji Eun Lee교신저자:Shin Sik ChoiFood hydrocolloids
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