Overview

Dataset statistics

Number of variables9
Number of observations502
Missing cells36
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.4 KiB
Average record size in memory74.3 B

Variable types

Numeric2
Categorical1
Text5
DateTime1

Dataset

Description2018년 종료 농림식품 식품 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191011000000001253

Alerts

분류 has constant value ""Constant
저자 has 35 (7.0%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 16:44:19.984771
Analysis finished2024-04-21 16:44:23.224924
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct502
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.5
Minimum1
Maximum502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-22T01:44:23.451801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.05
Q1126.25
median251.5
Q3376.75
95-th percentile476.95
Maximum502
Range501
Interquartile range (IQR)250.5

Descriptive statistics

Standard deviation145.05918
Coefficient of variation (CV)0.57677608
Kurtosis-1.2
Mean251.5
Median Absolute Deviation (MAD)125.5
Skewness0
Sum126253
Variance21042.167
MonotonicityStrictly increasing
2024-04-22T01:44:23.888917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
332 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
Other values (492) 492
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
502 1
0.2%
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%
496 1
0.2%
495 1
0.2%
494 1
0.2%
493 1
0.2%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
식품
502 

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 502
100.0%

Length

2024-04-22T01:44:24.289556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:44:24.579985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품 502
100.0%

과제번호
Real number (ℝ)

Distinct115
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300453.66
Minimum114006
Maximum918005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-22T01:44:24.894935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114006
5-th percentile115003
Q1116030
median315063
Q3316067.75
95-th percentile714001
Maximum918005
Range803999
Interquartile range (IQR)200037.75

Descriptive statistics

Standard deviation207753.39
Coefficient of variation (CV)0.69146565
Kurtosis1.258562
Mean300453.66
Median Absolute Deviation (MAD)197990
Skewness1.3794044
Sum1.5082774 × 108
Variance4.316147 × 1010
MonotonicityNot monotonic
2024-04-22T01:44:25.343398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
714001 22
 
4.4%
316017 22
 
4.4%
710012 21
 
4.2%
316058 14
 
2.8%
315032 13
 
2.6%
114006 12
 
2.4%
114019 11
 
2.2%
315049 11
 
2.2%
315063 11
 
2.2%
117064 10
 
2.0%
Other values (105) 355
70.7%
ValueCountFrequency (%)
114006 12
2.4%
114019 11
2.2%
115003 7
1.4%
115004 3
 
0.6%
115005 4
 
0.8%
115006 8
1.6%
115009 4
 
0.8%
115011 5
1.0%
115014 4
 
0.8%
115016 2
 
0.4%
ValueCountFrequency (%)
918005 1
 
0.2%
916002 4
0.8%
916001 1
 
0.2%
914003 4
0.8%
817031 2
 
0.4%
816009 1
 
0.2%
816004 5
1.0%
815003 3
0.6%
815002 3
0.6%
815001 1
 
0.2%

과제명
Text

Distinct115
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-22T01:44:26.533272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length49
Mean length36.707171
Min length21

Characters and Unicode

Total characters18427
Distinct characters380
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

Unique27 ?
Unique (%)5.4%

Sample

1st row식품바이오 소재 Pterostilbene 및 플라본 메틸 유도체의 미생물 생산 기술 개발
2nd row식품바이오 소재 Pterostilbene 및 플라본 메틸 유도체의 미생물 생산 기술 개발
3rd row홀푸드형 멀티타겟 조절 장건강 증진용 식품 개발
4th row홀푸드형 멀티타겟 조절 장건강 증진용 식품 개발
5th row천연물 식의약소재 산업화 및 전문인력 양성
ValueCountFrequency (%)
및 329
 
7.1%
개발 322
 
6.9%
활용한 95
 
2.0%
식품 92
 
2.0%
위한 88
 
1.9%
산업화 76
 
1.6%
소재 75
 
1.6%
통한 72
 
1.5%
개선 68
 
1.5%
이용한 64
 
1.4%
Other values (581) 3378
72.5%
2024-04-22T01:44:27.870749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4158
 
22.6%
개 578
 
3.1%
품 465
 
2.5%
발 448
 
2.4%
기 363
 
2.0%
한 362
 
2.0%
용 353
 
1.9%
식 344
 
1.9%
및 329
 
1.8%
성 292
 
1.6%
Other values (370) 10735
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13682
74.2%
Space Separator 4158
 
22.6%
Lowercase Letter 258
 
1.4%
Uppercase Letter 125
 
0.7%
Other Punctuation 81
 
0.4%
Dash Punctuation 45
 
0.2%
Close Punctuation 31
 
0.2%
Open Punctuation 31
 
0.2%
Decimal Number 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 578
 
4.2%
품 465
 
3.4%
발 448
 
3.3%
기 363
 
2.7%
한 362
 
2.6%
용 353
 
2.6%
식 344
 
2.5%
및 329
 
2.4%
성 292
 
2.1%
소 253
 
1.8%
Other values (331) 9895
72.3%
Lowercase Letter
ValueCountFrequency (%)
e 39
15.1%
l 37
14.3%
o 34
13.2%
t 26
10.1%
b 22
8.5%
a 20
7.8%
n 18
7.0%
i 15
 
5.8%
r 13
 
5.0%
s 11
 
4.3%
Other values (5) 23
8.9%
Uppercase Letter
ValueCountFrequency (%)
G 18
14.4%
P 18
14.4%
D 17
13.6%
R 15
12.0%
M 15
12.0%
H 11
8.8%
I 8
6.4%
C 6
 
4.8%
T 5
 
4.0%
E 3
 
2.4%
Other values (5) 9
7.2%
Other Punctuation
ValueCountFrequency (%)
, 34
42.0%
/ 30
37.0%
· 17
21.0%
Decimal Number
ValueCountFrequency (%)
3 15
93.8%
2 1
 
6.2%
Space Separator
ValueCountFrequency (%)
4158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13680
74.2%
Common 4362
 
23.7%
Latin 383
 
2.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 578
 
4.2%
품 465
 
3.4%
발 448
 
3.3%
기 363
 
2.7%
한 362
 
2.6%
용 353
 
2.6%
식 344
 
2.5%
및 329
 
2.4%
성 292
 
2.1%
소 253
 
1.8%
Other values (329) 9893
72.3%
Latin
ValueCountFrequency (%)
e 39
 
10.2%
l 37
 
9.7%
o 34
 
8.9%
t 26
 
6.8%
b 22
 
5.7%
a 20
 
5.2%
G 18
 
4.7%
P 18
 
4.7%
n 18
 
4.7%
D 17
 
4.4%
Other values (20) 134
35.0%
Common
ValueCountFrequency (%)
4158
95.3%
- 45
 
1.0%
, 34
 
0.8%
) 31
 
0.7%
( 31
 
0.7%
/ 30
 
0.7%
· 17
 
0.4%
3 15
 
0.3%
2 1
 
< 0.1%
Han
ValueCountFrequency (%)
膳 1
50.0%
藥 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13680
74.2%
ASCII 4728
 
25.7%
None 17
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4158
87.9%
- 45
 
1.0%
e 39
 
0.8%
l 37
 
0.8%
, 34
 
0.7%
o 34
 
0.7%
) 31
 
0.7%
( 31
 
0.7%
/ 30
 
0.6%
t 26
 
0.5%
Other values (28) 263
 
5.6%
Hangul
ValueCountFrequency (%)
개 578
 
4.2%
품 465
 
3.4%
발 448
 
3.3%
기 363
 
2.7%
한 362
 
2.6%
용 353
 
2.6%
식 344
 
2.5%
및 329
 
2.4%
성 292
 
2.1%
소 253
 
1.8%
Other values (329) 9893
72.3%
None
ValueCountFrequency (%)
· 17
100.0%
CJK
ValueCountFrequency (%)
膳 1
50.0%
藥 1
50.0%

연구책임자
Text

Distinct110
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-22T01:44:29.015976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9880478
Min length2

Characters and Unicode

Total characters1500
Distinct characters103
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)4.6%

Sample

1st row전수연
2nd row전수연
3rd row도선길
4th row도선길
5th row정윤화
ValueCountFrequency (%)
정윤화 22
 
4.4%
송임숙 22
 
4.4%
최상호 21
 
4.2%
최근식 14
 
2.8%
장성호 14
 
2.8%
박기훈 13
 
2.6%
도선길 12
 
2.4%
전수연 11
 
2.2%
장호림 11
 
2.2%
표미경 11
 
2.2%
Other values (100) 351
69.9%
2024-04-22T01:44:30.520170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 101
 
6.7%
호 64
 
4.3%
정 61
 
4.1%
최 55
 
3.7%
박 47
 
3.1%
성 44
 
2.9%
이 38
 
2.5%
윤 37
 
2.5%
태 37
 
2.5%
장 35
 
2.3%
Other values (93) 981
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1500
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 101
 
6.7%
호 64
 
4.3%
정 61
 
4.1%
최 55
 
3.7%
박 47
 
3.1%
성 44
 
2.9%
이 38
 
2.5%
윤 37
 
2.5%
태 37
 
2.5%
장 35
 
2.3%
Other values (93) 981
65.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1500
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 101
 
6.7%
호 64
 
4.3%
정 61
 
4.1%
최 55
 
3.7%
박 47
 
3.1%
성 44
 
2.9%
이 38
 
2.5%
윤 37
 
2.5%
태 37
 
2.5%
장 35
 
2.3%
Other values (93) 981
65.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1500
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 101
 
6.7%
호 64
 
4.3%
정 61
 
4.1%
최 55
 
3.7%
박 47
 
3.1%
성 44
 
2.9%
이 38
 
2.5%
윤 37
 
2.5%
태 37
 
2.5%
장 35
 
2.3%
Other values (93) 981
65.4%

논문명
Text

Distinct475
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-22T01:44:31.555292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length217
Median length138
Mean length97.494024
Min length18

Characters and Unicode

Total characters48942
Distinct characters438
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

Unique453 ?
Unique (%)90.2%

Sample

1st rowChemoenzymatic Synthesis of Glycosylated Macrolactam Analogues of the Macrolide Antibiotic YC-17
2nd rowDeveloping Streptomyces venezuelae as a cell factory for the production of small molecules used in drug discovery
3rd row: Gamisasangja-tang suppresses pruritus and atopic skin inflammation in the NC/Nga murine model of atopic dermatitis
4th rowOral administration of the fermented wild ginseng ameliorates DSS-induced acute colitis by inhibiting NF-κB signaling and protects intestinal epithelial barrier
5th rowGlycyrrhiza glabra L. Extract Inhibits LPS-Induced Inflammation in RAW Macrophages
ValueCountFrequency (%)
of 407
 
6.1%
and 254
 
3.8%
in 190
 
2.9%
the 110
 
1.7%
a 75
 
1.1%
by 73
 
1.1%
from 71
 
1.1%
on 61
 
0.9%
for 46
 
0.7%
및 42
 
0.6%
Other values (2631) 5317
80.0%
2024-04-22T01:44:33.306146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6149
 
12.6%
e 3705
 
7.6%
i 3613
 
7.4%
a 3236
 
6.6%
o 3096
 
6.3%
n 2973
 
6.1%
t 2968
 
6.1%
r 2153
 
4.4%
s 2119
 
4.3%
c 1841
 
3.8%
Other values (428) 17089
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 36453
74.5%
Space Separator 6149
 
12.6%
Other Letter 2612
 
5.3%
Uppercase Letter 2556
 
5.2%
Dash Punctuation 389
 
0.8%
Decimal Number 375
 
0.8%
Other Punctuation 246
 
0.5%
Close Punctuation 79
 
0.2%
Open Punctuation 79
 
0.2%
Final Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 93
 
3.6%
이 71
 
2.7%
한 67
 
2.6%
성 63
 
2.4%
용 54
 
2.1%
분 49
 
1.9%
과 43
 
1.6%
및 42
 
1.6%
화 41
 
1.6%
효 40
 
1.5%
Other values (343) 2049
78.4%
Lowercase Letter
ValueCountFrequency (%)
e 3705
10.2%
i 3613
 
9.9%
a 3236
 
8.9%
o 3096
 
8.5%
n 2973
 
8.2%
t 2968
 
8.1%
r 2153
 
5.9%
s 2119
 
5.8%
c 1841
 
5.1%
l 1604
 
4.4%
Other values (22) 9145
25.1%
Uppercase Letter
ValueCountFrequency (%)
C 240
 
9.4%
A 234
 
9.2%
S 220
 
8.6%
P 211
 
8.3%
E 173
 
6.8%
M 161
 
6.3%
I 160
 
6.3%
L 133
 
5.2%
D 131
 
5.1%
T 122
 
4.8%
Other values (16) 771
30.2%
Other Punctuation
ValueCountFrequency (%)
, 122
49.6%
. 51
20.7%
: 28
 
11.4%
/ 24
 
9.8%
' 8
 
3.3%
′ 5
 
2.0%
; 3
 
1.2%
& 2
 
0.8%
% 2
 
0.8%
· 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 86
22.9%
2 61
16.3%
3 46
12.3%
0 38
10.1%
5 33
 
8.8%
7 31
 
8.3%
4 31
 
8.3%
6 27
 
7.2%
9 15
 
4.0%
8 7
 
1.9%
Space Separator
ValueCountFrequency (%)
6149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 389
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38984
79.7%
Common 7321
 
15.0%
Hangul 2612
 
5.3%
Greek 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 93
 
3.6%
이 71
 
2.7%
한 67
 
2.6%
성 63
 
2.4%
용 54
 
2.1%
분 49
 
1.9%
과 43
 
1.6%
및 42
 
1.6%
화 41
 
1.6%
효 40
 
1.5%
Other values (343) 2049
78.4%
Latin
ValueCountFrequency (%)
e 3705
 
9.5%
i 3613
 
9.3%
a 3236
 
8.3%
o 3096
 
7.9%
n 2973
 
7.6%
t 2968
 
7.6%
r 2153
 
5.5%
s 2119
 
5.4%
c 1841
 
4.7%
l 1604
 
4.1%
Other values (42) 11676
30.0%
Common
ValueCountFrequency (%)
6149
84.0%
- 389
 
5.3%
, 122
 
1.7%
1 86
 
1.2%
) 79
 
1.1%
( 79
 
1.1%
2 61
 
0.8%
. 51
 
0.7%
3 46
 
0.6%
0 38
 
0.5%
Other values (17) 221
 
3.0%
Greek
ValueCountFrequency (%)
β 10
40.0%
α 6
24.0%
κ 4
 
16.0%
γ 2
 
8.0%
ω 2
 
8.0%
ι 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46295
94.6%
Hangul 2612
 
5.3%
None 27
 
0.1%
Punctuation 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6149
13.3%
e 3705
 
8.0%
i 3613
 
7.8%
a 3236
 
7.0%
o 3096
 
6.7%
n 2973
 
6.4%
t 2968
 
6.4%
r 2153
 
4.7%
s 2119
 
4.6%
c 1841
 
4.0%
Other values (64) 14442
31.2%
Hangul
ValueCountFrequency (%)
의 93
 
3.6%
이 71
 
2.7%
한 67
 
2.6%
성 63
 
2.4%
용 54
 
2.1%
분 49
 
1.9%
과 43
 
1.6%
및 42
 
1.6%
화 41
 
1.6%
효 40
 
1.5%
Other values (343) 2049
78.4%
None
ValueCountFrequency (%)
β 10
37.0%
α 6
22.2%
κ 4
 
14.8%
γ 2
 
7.4%
ω 2
 
7.4%
· 1
 
3.7%
­ 1
 
3.7%
ι 1
 
3.7%
Punctuation
ValueCountFrequency (%)
′ 5
62.5%
’ 2
 
25.0%
‘ 1
 
12.5%

학술지 게재일자
Date

Distinct314
Distinct (%)62.7%
Missing1
Missing (%)0.2%
Memory size4.0 KiB
Minimum2015-04-30 00:00:00
Maximum2018-12-31 00:00:00
2024-04-22T01:44:33.712321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:44:34.145613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct431
Distinct (%)92.3%
Missing35
Missing (%)7.0%
Memory size4.0 KiB
2024-04-22T01:44:35.510833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length341
Median length192
Mean length77.137045
Min length7

Characters and Unicode

Total characters36023
Distinct characters261
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

Unique402 ?
Unique (%)86.1%

Sample

1st rowYeo Joon Yoon,Pramod B. Shinde; Hong-Se Oh; Hyemin Choi; Kris Rathwell; Yeon Hee Ban; EunJi Kim; Inho Yang; Dong Gun Lee; David H. Sherman; Han-Young Kang
2nd rowYeo Joon Yoon,Eun Ji Kim; Inho Yang
3rd rowBo-Kyung Park,Yang-Chun Park; In Chul Jung; Seung-Hyung Kim; Jeong June Choi; Moon ho Do; Sun Yeou Kim; Mirim Jin
4th rowMyeong A Seong,Jong Kyu Woo; Ju-Hee Kang; Yeong Su Jang; Seungho Choi; Young Saeng Jang; Taek Hwan Lee; Kyung Hoon Jung; Dong Kyu Kang; Byung Seok Hurh; Dae Eung Kim
5th row주저자 : Chunmei Li, 주저자 : Taekil Eom, 교신(책임)저자 : Yoonhwa Jeong
ValueCountFrequency (%)
2083
25.9%
공저자 1097
 
13.6%
주저자 537
 
6.7%
교신(책임)저자 423
 
5.3%
kim 231
 
2.9%
lee 160
 
2.0%
park 100
 
1.2%
kang 52
 
0.6%
young 48
 
0.6%
choi 46
 
0.6%
Other values (1403) 3267
40.6%
2024-04-22T01:44:37.058067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7583
21.1%
자 2064
 
5.7%
: 2057
 
5.7%
저 2057
 
5.7%
, 1708
 
4.7%
n 1690
 
4.7%
o 1262
 
3.5%
공 1097
 
3.0%
e 1025
 
2.8%
a 890
 
2.5%
Other values (251) 14590
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10100
28.0%
Lowercase Letter 9436
26.2%
Space Separator 7583
21.1%
Other Punctuation 3878
 
10.8%
Uppercase Letter 3733
 
10.4%
Dash Punctuation 439
 
1.2%
Open Punctuation 426
 
1.2%
Close Punctuation 426
 
1.2%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2064
20.4%
저 2057
20.4%
공 1097
10.9%
주 567
 
5.6%
신 444
 
4.4%
임 442
 
4.4%
교 426
 
4.2%
책 423
 
4.2%
이 169
 
1.7%
김 155
 
1.5%
Other values (189) 2256
22.3%
Uppercase Letter
ValueCountFrequency (%)
K 524
14.0%
J 451
12.1%
S 420
11.3%
H 403
10.8%
Y 323
8.7%
L 202
 
5.4%
M 195
 
5.2%
C 167
 
4.5%
P 128
 
3.4%
N 117
 
3.1%
Other values (16) 803
21.5%
Lowercase Letter
ValueCountFrequency (%)
n 1690
17.9%
o 1262
13.4%
e 1025
10.9%
a 890
9.4%
g 881
9.3%
u 857
9.1%
i 732
7.8%
h 440
 
4.7%
m 364
 
3.9%
y 354
 
3.8%
Other values (15) 941
10.0%
Other Punctuation
ValueCountFrequency (%)
: 2057
53.0%
, 1708
44.0%
. 56
 
1.4%
; 46
 
1.2%
? 10
 
0.3%
† 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7583
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 439
100.0%
Open Punctuation
ValueCountFrequency (%)
( 426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 426
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13169
36.6%
Common 12754
35.4%
Hangul 10100
28.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2064
20.4%
저 2057
20.4%
공 1097
10.9%
주 567
 
5.6%
신 444
 
4.4%
임 442
 
4.4%
교 426
 
4.2%
책 423
 
4.2%
이 169
 
1.7%
김 155
 
1.5%
Other values (189) 2256
22.3%
Latin
ValueCountFrequency (%)
n 1690
 
12.8%
o 1262
 
9.6%
e 1025
 
7.8%
a 890
 
6.8%
g 881
 
6.7%
u 857
 
6.5%
i 732
 
5.6%
K 524
 
4.0%
J 451
 
3.4%
h 440
 
3.3%
Other values (41) 4417
33.5%
Common
ValueCountFrequency (%)
7583
59.5%
: 2057
 
16.1%
, 1708
 
13.4%
- 439
 
3.4%
( 426
 
3.3%
) 426
 
3.3%
. 56
 
0.4%
; 46
 
0.4%
? 10
 
0.1%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25922
72.0%
Hangul 10100
 
28.0%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7583
29.3%
: 2057
 
7.9%
, 1708
 
6.6%
n 1690
 
6.5%
o 1262
 
4.9%
e 1025
 
4.0%
a 890
 
3.4%
g 881
 
3.4%
u 857
 
3.3%
i 732
 
2.8%
Other values (51) 7237
27.9%
Hangul
ValueCountFrequency (%)
자 2064
20.4%
저 2057
20.4%
공 1097
10.9%
주 567
 
5.6%
신 444
 
4.4%
임 442
 
4.4%
교 426
 
4.2%
책 423
 
4.2%
이 169
 
1.7%
김 155
 
1.5%
Other values (189) 2256
22.3%
Punctuation
ValueCountFrequency (%)
† 1
100.0%

학술지명
Text

Distinct328
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-22T01:44:38.139372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length147
Median length65
Mean length31.143426
Min length1

Characters and Unicode

Total characters15634
Distinct characters167
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)49.8%

Sample

1st rowAdvanced synthesis catalysis
2nd rowArchives of Pharmacal Research
3rd rowJournal of Ethnopharmacology
4th rowBMB Reports
5th rowJournal of Nutritional Science and Vitaminology
ValueCountFrequency (%)
of 211
 
10.0%
journal 188
 
8.9%
food 134
 
6.4%
and 119
 
5.6%
science 97
 
4.6%
81
 
3.8%
chemistry 49
 
2.3%
the 45
 
2.1%
korean 44
 
2.1%
biotechnology 37
 
1.8%
Other values (389) 1105
52.4%
2024-04-22T01:44:39.571491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1637
 
10.5%
o 1491
 
9.5%
e 1083
 
6.9%
n 1063
 
6.8%
a 911
 
5.8%
i 871
 
5.6%
r 830
 
5.3%
c 726
 
4.6%
l 703
 
4.5%
t 607
 
3.9%
Other values (157) 5712
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11252
72.0%
Space Separator 1637
 
10.5%
Uppercase Letter 1560
 
10.0%
Other Letter 1014
 
6.5%
Other Punctuation 69
 
0.4%
Math Symbol 53
 
0.3%
Dash Punctuation 20
 
0.1%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 113
 
11.1%
회 102
 
10.1%
한 91
 
9.0%
지 83
 
8.2%
국 82
 
8.1%
식 71
 
7.0%
품 66
 
6.5%
과 37
 
3.6%
산 29
 
2.9%
생 26
 
2.6%
Other values (91) 314
31.0%
Lowercase Letter
ValueCountFrequency (%)
o 1491
13.3%
e 1083
9.6%
n 1063
9.4%
a 911
 
8.1%
i 871
 
7.7%
r 830
 
7.4%
c 726
 
6.5%
l 703
 
6.2%
t 607
 
5.4%
s 451
 
4.0%
Other values (15) 2516
22.4%
Uppercase Letter
ValueCountFrequency (%)
J 138
 
8.8%
F 128
 
8.2%
E 117
 
7.5%
S 114
 
7.3%
C 104
 
6.7%
A 100
 
6.4%
I 95
 
6.1%
T 93
 
6.0%
B 80
 
5.1%
N 78
 
5.0%
Other values (14) 513
32.9%
Other Punctuation
ValueCountFrequency (%)
. 28
40.6%
: 19
27.5%
& 12
17.4%
, 7
 
10.1%
; 3
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
1 1
20.0%
2 1
20.0%
7 1
20.0%
Math Symbol
ValueCountFrequency (%)
= 50
94.3%
+ 3
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 11
91.7%
[ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1637
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12812
81.9%
Common 1808
 
11.6%
Hangul 991
 
6.3%
Han 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 113
 
11.4%
회 102
 
10.3%
한 91
 
9.2%
지 83
 
8.4%
국 82
 
8.3%
식 71
 
7.2%
품 66
 
6.7%
과 37
 
3.7%
산 29
 
2.9%
생 26
 
2.6%
Other values (75) 291
29.4%
Latin
ValueCountFrequency (%)
o 1491
 
11.6%
e 1083
 
8.5%
n 1063
 
8.3%
a 911
 
7.1%
i 871
 
6.8%
r 830
 
6.5%
c 726
 
5.7%
l 703
 
5.5%
t 607
 
4.7%
s 451
 
3.5%
Other values (39) 4076
31.8%
Common
ValueCountFrequency (%)
1637
90.5%
= 50
 
2.8%
. 28
 
1.5%
- 20
 
1.1%
: 19
 
1.1%
& 12
 
0.7%
) 11
 
0.6%
( 11
 
0.6%
, 7
 
0.4%
; 3
 
0.2%
Other values (7) 10
 
0.6%
Han
ValueCountFrequency (%)
會 3
13.0%
學 3
13.0%
誌 3
13.0%
韓 2
 
8.7%
國 1
 
4.3%
資 1
 
4.3%
源 1
 
4.3%
植 1
 
4.3%
物 1
 
4.3%
草 1
 
4.3%
Other values (6) 6
26.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14620
93.5%
Hangul 991
 
6.3%
CJK 23
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1637
 
11.2%
o 1491
 
10.2%
e 1083
 
7.4%
n 1063
 
7.3%
a 911
 
6.2%
i 871
 
6.0%
r 830
 
5.7%
c 726
 
5.0%
l 703
 
4.8%
t 607
 
4.2%
Other values (56) 4698
32.1%
Hangul
ValueCountFrequency (%)
학 113
 
11.4%
회 102
 
10.3%
한 91
 
9.2%
지 83
 
8.4%
국 82
 
8.3%
식 71
 
7.2%
품 66
 
6.7%
과 37
 
3.7%
산 29
 
2.9%
생 26
 
2.6%
Other values (75) 291
29.4%
CJK
ValueCountFrequency (%)
會 3
13.0%
學 3
13.0%
誌 3
13.0%
韓 2
 
8.7%
國 1
 
4.3%
資 1
 
4.3%
源 1
 
4.3%
植 1
 
4.3%
物 1
 
4.3%
草 1
 
4.3%
Other values (6) 6
26.1%

Interactions

2024-04-22T01:44:21.702816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:44:21.186297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:44:21.965530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:44:21.433516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T01:44:39.723887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호
번호1.0000.298
과제번호0.2981.000
2024-04-22T01:44:39.859143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호
번호1.0000.201
과제번호0.2011.000

Missing values

2024-04-22T01:44:22.341804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T01:44:22.788055image/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.
2024-04-22T01:44:23.092590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
01식품114019식품바이오 소재 Pterostilbene 및 플라본 메틸 유도체의 미생물 생산 기술 개발전수연Chemoenzymatic Synthesis of Glycosylated Macrolactam Analogues of the Macrolide Antibiotic YC-172015-08-19Yeo Joon Yoon,Pramod B. Shinde; Hong-Se Oh; Hyemin Choi; Kris Rathwell; Yeon Hee Ban; EunJi Kim; Inho Yang; Dong Gun Lee; David H. Sherman; Han-Young KangAdvanced synthesis catalysis
12식품114019식품바이오 소재 Pterostilbene 및 플라본 메틸 유도체의 미생물 생산 기술 개발전수연Developing Streptomyces venezuelae as a cell factory for the production of small molecules used in drug discovery2015-07-17Yeo Joon Yoon,Eun Ji Kim; Inho YangArchives of Pharmacal Research
23식품114006홀푸드형 멀티타겟 조절 장건강 증진용 식품 개발도선길: Gamisasangja-tang suppresses pruritus and atopic skin inflammation in the NC/Nga murine model of atopic dermatitis2015-05-13Bo-Kyung Park,Yang-Chun Park; In Chul Jung; Seung-Hyung Kim; Jeong June Choi; Moon ho Do; Sun Yeou Kim; Mirim JinJournal of Ethnopharmacology
34식품114006홀푸드형 멀티타겟 조절 장건강 증진용 식품 개발도선길Oral administration of the fermented wild ginseng ameliorates DSS-induced acute colitis by inhibiting NF-κB signaling and protects intestinal epithelial barrier2015-06-10Myeong A Seong,Jong Kyu Woo; Ju-Hee Kang; Yeong Su Jang; Seungho Choi; Young Saeng Jang; Taek Hwan Lee; Kyung Hoon Jung; Dong Kyu Kang; Byung Seok Hurh; Dae Eung KimBMB Reports
45식품714001천연물 식의약소재 산업화 및 전문인력 양성정윤화Glycyrrhiza glabra L. Extract Inhibits LPS-Induced Inflammation in RAW Macrophages2015-12-04주저자 : Chunmei Li, 주저자 : Taekil Eom, 교신(책임)저자 : Yoonhwa JeongJournal of Nutritional Science and Vitaminology
56식품315049Global 전임상을 통한 고려인삼의 효능 구명 및 현지 시판 가능한 제품개발표미경Ginsenoside Re Enriched Fraction (GS-F3K1) from Ginseng Berries Ameliorates2016-03-31주저자 : Myeong Hwan Oh, 공저자 : Beom Young Won, 공저자 : Bong-Gun Lee, 공저자 : Hwan Lee, 공저자 : Hyung Gun Lee, 공저자 : Ji Hye Song, 공저자 : Jong Dae Park, 공저자 : Ki Young Shin, 공저자 : Kwang-Hyun Park, 공저자 : Na Young Kim, 공저자 : Se-Hee Jung, 공저자 : So Hee Park, 공저자 : Young Sik Park, 교신(책임)저자 : Mi Kyung PyoNatural Product Sciences
67식품315049Global 전임상을 통한 고려인삼의 효능 구명 및 현지 시판 가능한 제품개발표미경Comparison of Physicochemical Properties and Malonyl Ginsenoside2016-03-31주저자 : Myeong Hwan Oh, 공저자 : Hwan Lee, 공저자 : Ji Hun Park, 공저자 : Jong Dae Park, 공저자 : Jun Young Kwak, 공저자 : Na Young Kim, 공저자 : Young Boo Jang, 공저자 : Young Sik Park, 공저자 : Young Soon Park, 교신(책임)저자 : Mi Kyung PyoKorean Journal of Pharmacognosy
78식품315067장내 미생물총 개선을 통한 인체면역 기능개선 소재 및 발효 유제품 개발고광표Sellimonas intestinalisgen. nov., sp. nov., isolated from human faeces2016-02-01주저자 : Boram Seo, 공저자 : Ju Eun Yoo, 공저자 : Yung Mi Lee, 교신(책임)저자 : GwangPyo KoInternational Journal of Systematic and Evolutionary Microbiology
89식품315049Global 전임상을 통한 고려인삼의 효능 구명 및 현지 시판 가능한 제품개발표미경Ultrafiltrated fraction of korean red ginseng extract improves memory impairment of tg2576 mice via inhibition of soluble aβ production and acetylcholinesterase activity2016-04-18주저자 : KI YOUNG SHIN, 공저자 : BEOM YOUNG WON, 공저자 : HWAN LEE, 공저자 : HYUN JEE HA, 공저자 : HYUNG GUN LEE, 공저자 : JONG DAE PARK, 공저자 : KEUN-A CHANG, 공저자 : MYEONG HWAN OH, 공저자 : YEO SANG YUN, 공저자 : YOUNG SIK PARK, 교신(책임)저자 : MI KYUNG PYOInternational Journal of Pharmacy and Pharmaceutical Sciences
910식품315032두과작물을 활용한 대사질환 및 갱년기질환 개선 기능성 제품 개발박기훈Highly potent tyrosinase inhibitor, neorauflavane from Campylotropis hirtella and inhibitory mechanism with molecular docking2016-01-15주저자 : TAN XUEFEI, 교신(책임)저자 : PARK KI HUNBIOORGANIC & MEDICINAL CHEMISTRY
번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
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