Overview

Dataset statistics

Number of variables10
Number of observations127
Missing cells102
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory84.0 B

Variable types

Numeric3
Categorical4
Text3

Dataset

Description2017년 종료 농림식품 융복합 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001345

Alerts

분류 has constant value ""Constant
연구책임자 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
사업명 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
과제명 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
번호 is highly overall correlated with 과제번호 and 3 other fieldsHigh correlation
과제번호 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
저자 has 102 (80.3%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:39:54.633715
Analysis finished2023-12-11 03:39:57.079549
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T12:39:57.206340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q132.5
median64
Q395.5
95-th percentile120.7
Maximum127
Range126
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.805797
Coefficient of variation (CV)0.57509057
Kurtosis-1.2
Mean64
Median Absolute Deviation (MAD)32
Skewness0
Sum8128
Variance1354.6667
MonotonicityStrictly increasing
2023-12-11T12:39:57.401049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
농림식품 융복합
127 

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 127
100.0%

Length

2023-12-11T12:39:57.604433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:39:57.735722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 127
50.0%
융복합 127
50.0%

과제번호
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275405.87
Minimum112008
Maximum816013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T12:39:57.853421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112008
5-th percentile112008
Q1114071
median115092
Q3314082
95-th percentile814005
Maximum816013
Range704005
Interquartile range (IQR)200011

Descriptive statistics

Standard deviation254153.33
Coefficient of variation (CV)0.92283196
Kurtosis0.55920374
Mean275405.87
Median Absolute Deviation (MAD)1065
Skewness1.4545868
Sum34976545
Variance6.4593918 × 1010
MonotonicityIncreasing
2023-12-11T12:39:57.964022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
314082 21
16.5%
814005 20
15.7%
112008 11
8.7%
114048 11
8.7%
115073 10
7.9%
115092 9
7.1%
312019 8
 
6.3%
114145 6
 
4.7%
115098 5
 
3.9%
114071 5
 
3.9%
Other values (7) 21
16.5%
ValueCountFrequency (%)
112008 11
8.7%
114027 3
 
2.4%
114048 11
8.7%
114070 3
 
2.4%
114071 5
3.9%
114074 2
 
1.6%
114093 5
3.9%
114144 4
 
3.1%
114145 6
4.7%
115063 3
 
2.4%
ValueCountFrequency (%)
816013 1
 
0.8%
814005 20
15.7%
314082 21
16.5%
312019 8
 
6.3%
115098 5
 
3.9%
115092 9
7.1%
115073 10
7.9%
115063 3
 
2.4%
114145 6
 
4.7%
114144 4
 
3.1%

사업명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기술사업화지원
52 
농생명산업기술개발사업
45 
첨단생산기술개발
14 
수산실용화기술개발
8 
수출전략기술개발
 
5

Length

Max length11
Median length9
Mean length8.7874016
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기술사업화지원 52
40.9%
농생명산업기술개발사업 45
35.4%
첨단생산기술개발 14
 
11.0%
수산실용화기술개발 8
 
6.3%
수출전략기술개발 5
 
3.9%
고부가가치식품기술개발 3
 
2.4%

Length

2023-12-11T12:39:58.105731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:39:58.231277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기술사업화지원 52
40.9%
농생명산업기술개발사업 45
35.4%
첨단생산기술개발 14
 
11.0%
수산실용화기술개발 8
 
6.3%
수출전략기술개발 5
 
3.9%
고부가가치식품기술개발 3
 
2.4%

과제명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
농산물 소재를 활용한 고부가가치 제품 개발 지원을 위한 CRO 구축
21 
오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화
20 
돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화
11 
친환경 살충제 개발을 위한 방선균 이차대사산물 고생산 균주 및 대량생산 시스템 개발
11 
국내 토착 미생물 유래 신규 비전분성 탄수화물 분해효소 개발 및 응용
10 
Other values (12)
54 

Length

Max length70
Median length46
Mean length36.716535
Min length23

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화
2nd row돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화
3rd row돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화
4th row돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화
5th row돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화

Common Values

ValueCountFrequency (%)
농산물 소재를 활용한 고부가가치 제품 개발 지원을 위한 CRO 구축 21
16.5%
오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화 20
15.7%
돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화 11
8.7%
친환경 살충제 개발을 위한 방선균 이차대사산물 고생산 균주 및 대량생산 시스템 개발 11
8.7%
국내 토착 미생물 유래 신규 비전분성 탄수화물 분해효소 개발 및 응용 10
7.9%
페놀성 리그닌 고분자를 활용한 바이오 흡착제 제조 및 활용기술 개발 9
7.1%
해조류 기능성 소재를 융합한 의료공학용 바이오 신소재 개발 8
 
6.3%
뇌질환성 운동장애 예방 및 개선을 위한 건강기능식품 소재 개발 6
 
4.7%
국내산 농산자원 라이브러리를 활용한 미백 및 항염효능을 지닌 기능성화장품 개발 5
 
3.9%
농식품 수출확대를 위한 해외시장 정보시스템 및 서비스 관리체계 개선 - 크라우드소싱 기반의 농식품 해외시장 정보시스템 개발 - 5
 
3.9%
Other values (7) 21
16.5%

Length

2023-12-11T12:39:58.411748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발 124
 
10.3%
및 86
 
7.1%
활용한 58
 
4.8%
위한 43
 
3.6%
유래 41
 
3.4%
상용화 31
 
2.6%
소재를 29
 
2.4%
고부가가치 26
 
2.2%
제품 26
 
2.2%
농산물 24
 
2.0%
Other values (100) 715
59.4%

연구책임자
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
이삼빈
21 
서동삼
20 
양세란
11 
오기훈
11 
유진철
10 
Other values (12)
54 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
이삼빈 21
16.5%
서동삼 20
15.7%
양세란 11
8.7%
오기훈 11
8.7%
유진철 10
7.9%
이기훈 9
7.1%
정원교 8
 
6.3%
김원곤 6
 
4.7%
이상국 5
 
3.9%
배원길 5
 
3.9%
Other values (7) 21
16.5%

Length

2023-12-11T12:39:58.532582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이삼빈 21
16.5%
서동삼 20
15.7%
양세란 11
8.7%
오기훈 11
8.7%
유진철 10
7.9%
이기훈 9
7.1%
정원교 8
 
6.3%
김원곤 6
 
4.7%
김미리 5
 
3.9%
이상국 5
 
3.9%
Other values (7) 21
16.5%

논문명
Text

Distinct126
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T12:39:58.778372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length199
Median length124
Mean length98.614173
Min length15

Characters and Unicode

Total characters12524
Distinct characters285
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

Unique125 ?
Unique (%)98.4%

Sample

1st rowConstruction of a biocompatible decellularized porcine hepatic lobe for liver bioengineering
2nd rowHepatic Cell Encapsulation Using a Decellularized Liver Scaffold
3rd rowAcute Rejection after Swine Leukocyte Antigen Matched Kidney Allo-Transplantation in Cloned Miniature Pigs with Different Mitochondrial DNA Encoded Minor Histocompatibility Antigen
4th rowThree dimensional culture of HepG2 liver cells on a rat decellularized liver matrix for pharmacological studies
5th rowIdentifying the Degree of Major Histocompatibility Complex Matching in Genetically Unrelated Dogs With the Use of Microsatellite Markers
ValueCountFrequency (%)
of 104
 
6.1%
and 56
 
3.3%
in 44
 
2.6%
the 29
 
1.7%
from 28
 
1.7%
a 28
 
1.7%
for 21
 
1.2%
on 15
 
0.9%
bone 13
 
0.8%
bacillus 11
 
0.6%
Other values (890) 1347
79.4%
2023-12-11T12:39:59.232163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1575
 
12.6%
e 938
 
7.5%
i 919
 
7.3%
o 852
 
6.8%
a 826
 
6.6%
n 761
 
6.1%
t 697
 
5.6%
r 558
 
4.5%
s 543
 
4.3%
l 511
 
4.1%
Other values (275) 4344
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9327
74.5%
Space Separator 1575
 
12.6%
Other Letter 720
 
5.7%
Uppercase Letter 648
 
5.2%
Dash Punctuation 83
 
0.7%
Decimal Number 81
 
0.6%
Other Punctuation 57
 
0.5%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Final Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 24
 
3.3%
의 20
 
2.8%
이 20
 
2.8%
한 18
 
2.5%
산 18
 
2.5%
화 18
 
2.5%
리 16
 
2.2%
분 15
 
2.1%
지 15
 
2.1%
효 12
 
1.7%
Other values (200) 544
75.6%
Lowercase Letter
ValueCountFrequency (%)
e 938
10.1%
i 919
9.9%
o 852
 
9.1%
a 826
 
8.9%
n 761
 
8.2%
t 697
 
7.5%
r 558
 
6.0%
s 543
 
5.8%
l 511
 
5.5%
c 435
 
4.7%
Other values (20) 2287
24.5%
Uppercase Letter
ValueCountFrequency (%)
A 78
12.0%
S 57
 
8.8%
C 54
 
8.3%
B 50
 
7.7%
M 44
 
6.8%
P 43
 
6.6%
D 38
 
5.9%
I 34
 
5.2%
E 32
 
4.9%
F 27
 
4.2%
Other values (13) 191
29.5%
Decimal Number
ValueCountFrequency (%)
1 20
24.7%
3 15
18.5%
2 11
13.6%
4 9
11.1%
6 7
 
8.6%
5 7
 
8.6%
7 6
 
7.4%
8 3
 
3.7%
0 2
 
2.5%
9 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 18
31.6%
, 11
19.3%
/ 11
19.3%
: 9
15.8%
' 7
 
12.3%
· 1
 
1.8%
Space Separator
ValueCountFrequency (%)
1575
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9968
79.6%
Common 1829
 
14.6%
Hangul 720
 
5.7%
Greek 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 24
 
3.3%
의 20
 
2.8%
이 20
 
2.8%
한 18
 
2.5%
산 18
 
2.5%
화 18
 
2.5%
리 16
 
2.2%
분 15
 
2.1%
지 15
 
2.1%
효 12
 
1.7%
Other values (200) 544
75.6%
Latin
ValueCountFrequency (%)
e 938
 
9.4%
i 919
 
9.2%
o 852
 
8.5%
a 826
 
8.3%
n 761
 
7.6%
t 697
 
7.0%
r 558
 
5.6%
s 543
 
5.4%
l 511
 
5.1%
c 435
 
4.4%
Other values (39) 2928
29.4%
Common
ValueCountFrequency (%)
1575
86.1%
- 83
 
4.5%
1 20
 
1.1%
. 18
 
1.0%
3 15
 
0.8%
( 13
 
0.7%
) 13
 
0.7%
, 11
 
0.6%
/ 11
 
0.6%
2 11
 
0.6%
Other values (12) 59
 
3.2%
Greek
ValueCountFrequency (%)
γ 3
42.9%
κ 2
28.6%
α 1
 
14.3%
β 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11789
94.1%
Hangul 720
 
5.7%
None 8
 
0.1%
Punctuation 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1575
13.4%
e 938
 
8.0%
i 919
 
7.8%
o 852
 
7.2%
a 826
 
7.0%
n 761
 
6.5%
t 697
 
5.9%
r 558
 
4.7%
s 543
 
4.6%
l 511
 
4.3%
Other values (58) 3609
30.6%
Hangul
ValueCountFrequency (%)
성 24
 
3.3%
의 20
 
2.8%
이 20
 
2.8%
한 18
 
2.5%
산 18
 
2.5%
화 18
 
2.5%
리 16
 
2.2%
분 15
 
2.1%
지 15
 
2.1%
효 12
 
1.7%
Other values (200) 544
75.6%
Punctuation
ValueCountFrequency (%)
’ 6
85.7%
‘ 1
 
14.3%
None
ValueCountFrequency (%)
γ 3
37.5%
κ 2
25.0%
α 1
 
12.5%
β 1
 
12.5%
· 1
 
12.5%

학술지 출판년도
Real number (ℝ)

Distinct7
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.8346
Minimum2012
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T12:39:59.595398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2013
Q12015
median2016
Q32017
95-th percentile2017
Maximum2018
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2956813
Coefficient of variation (CV)0.0006427518
Kurtosis0.41816819
Mean2015.8346
Median Absolute Deviation (MAD)1
Skewness-1.0435156
Sum256011
Variance1.6787902
MonotonicityNot monotonic
2023-12-11T12:39:59.709888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2016 44
34.6%
2017 44
34.6%
2015 19
15.0%
2013 12
 
9.4%
2014 5
 
3.9%
2018 2
 
1.6%
2012 1
 
0.8%
ValueCountFrequency (%)
2012 1
 
0.8%
2013 12
 
9.4%
2014 5
 
3.9%
2015 19
15.0%
2016 44
34.6%
2017 44
34.6%
2018 2
 
1.6%
ValueCountFrequency (%)
2018 2
 
1.6%
2017 44
34.6%
2016 44
34.6%
2015 19
15.0%
2014 5
 
3.9%
2013 12
 
9.4%
2012 1
 
0.8%

저자
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing102
Missing (%)80.3%
Memory size1.1 KiB
2023-12-11T12:39:59.961431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length249
Median length91
Mean length98.04
Min length25

Characters and Unicode

Total characters2451
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row박경미;김현민;Pankaj K Teotia;김진훈;우흥명,박경미;김현민;Pankaj K Teotia;김진훈;우흥명
2nd rowKamal Hany Hussein;박경미;우흥명,Kamal Hany Hussein;박경미;우흥명
3rd row박경미, Pankaj Kumar Teotia,이근식, 이은송, 홍석호, 양세란, 박성민, 박찬규, 이경우,박경미, Pankaj Kumar Teotia,이근식, 이은송, 홍석호, 양세란, 박성민, 박찬규, 이경우
4th row박경미;김진훈;양세란;우흥명,박경미;김진훈;양세란;우흥명
5th row강형순;Hussein KH; 김현민;곽호현;우흥명,강형순;Hussein KH; 김현민;곽호현;우흥명
ValueCountFrequency (%)
kim 17
 
4.9%
choi 9
 
2.6%
eun 8
 
2.3%
park 8
 
2.3%
홍석호 8
 
2.3%
양세란 8
 
2.3%
박성민 8
 
2.3%
qian 7
 
2.0%
jang 7
 
2.0%
il-whan 6
 
1.7%
Other values (126) 261
75.2%
2023-12-11T12:40:00.454659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
13.1%
n 176
 
7.2%
; 172
 
7.0%
o 116
 
4.7%
a 112
 
4.6%
i 106
 
4.3%
u 84
 
3.4%
, 79
 
3.2%
e 70
 
2.9%
g 68
 
2.8%
Other values (90) 1146
46.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 962
39.2%
Uppercase Letter 442
18.0%
Other Letter 430
17.5%
Space Separator 322
 
13.1%
Other Punctuation 251
 
10.2%
Dash Punctuation 44
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 34
 
7.9%
민 24
 
5.6%
우 22
 
5.1%
흥 20
 
4.7%
명 20
 
4.7%
양 20
 
4.7%
세 18
 
4.2%
성 18
 
4.2%
김 16
 
3.7%
란 16
 
3.7%
Other values (43) 222
51.6%
Uppercase Letter
ValueCountFrequency (%)
K 58
13.1%
H 52
11.8%
J 50
11.3%
O 28
 
6.3%
C 28
 
6.3%
E 24
 
5.4%
S 24
 
5.4%
N 24
 
5.4%
Y 22
 
5.0%
P 20
 
4.5%
Other values (15) 112
25.3%
Lowercase Letter
ValueCountFrequency (%)
n 176
18.3%
o 116
12.1%
a 112
11.6%
i 106
11.0%
u 84
8.7%
e 70
 
7.3%
g 68
 
7.1%
h 50
 
5.2%
m 44
 
4.6%
y 28
 
2.9%
Other values (8) 108
11.2%
Other Punctuation
ValueCountFrequency (%)
; 172
68.5%
, 79
31.5%
Space Separator
ValueCountFrequency (%)
322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1404
57.3%
Common 617
25.2%
Hangul 430
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 34
 
7.9%
민 24
 
5.6%
우 22
 
5.1%
흥 20
 
4.7%
명 20
 
4.7%
양 20
 
4.7%
세 18
 
4.2%
성 18
 
4.2%
김 16
 
3.7%
란 16
 
3.7%
Other values (43) 222
51.6%
Latin
ValueCountFrequency (%)
n 176
 
12.5%
o 116
 
8.3%
a 112
 
8.0%
i 106
 
7.5%
u 84
 
6.0%
e 70
 
5.0%
g 68
 
4.8%
K 58
 
4.1%
H 52
 
3.7%
J 50
 
3.6%
Other values (33) 512
36.5%
Common
ValueCountFrequency (%)
322
52.2%
; 172
27.9%
, 79
 
12.8%
- 44
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2021
82.5%
Hangul 430
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
15.9%
n 176
 
8.7%
; 172
 
8.5%
o 116
 
5.7%
a 112
 
5.5%
i 106
 
5.2%
u 84
 
4.2%
, 79
 
3.9%
e 70
 
3.5%
g 68
 
3.4%
Other values (37) 716
35.4%
Hangul
ValueCountFrequency (%)
박 34
 
7.9%
민 24
 
5.6%
우 22
 
5.1%
흥 20
 
4.7%
명 20
 
4.7%
양 20
 
4.7%
세 18
 
4.2%
성 18
 
4.2%
김 16
 
3.7%
란 16
 
3.7%
Other values (43) 222
51.6%

학술지명
Text

Distinct102
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T12:40:00.773879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length43
Mean length29.173228
Min length5

Characters and Unicode

Total characters3705
Distinct characters104
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

Unique90 ?
Unique (%)70.9%

Sample

1st rowThe International Journal of Artificial Organs
2nd rowBiomedical Engineering Letter
3rd rowTransplantation Proceedings
4th rowJournal of Biomedical Materials Research Part B
5th rowTransplantation Proceedings
ValueCountFrequency (%)
of 49
 
10.7%
journal 48
 
10.5%
and 20
 
4.4%
international 18
 
3.9%
17
 
3.7%
science 14
 
3.1%
engineering 10
 
2.2%
food 9
 
2.0%
research 8
 
1.7%
technology 7
 
1.5%
Other values (143) 259
56.4%
2023-12-11T12:40:01.326309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
 
9.0%
o 304
 
8.2%
n 270
 
7.3%
e 259
 
7.0%
a 252
 
6.8%
r 218
 
5.9%
i 205
 
5.5%
l 178
 
4.8%
t 139
 
3.8%
c 137
 
3.7%
Other values (94) 1410
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2563
69.2%
Uppercase Letter 570
 
15.4%
Space Separator 333
 
9.0%
Other Letter 196
 
5.3%
Other Punctuation 15
 
0.4%
Math Symbol 10
 
0.3%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 16
 
8.2%
회 14
 
7.1%
국 12
 
6.1%
한 12
 
6.1%
품 11
 
5.6%
식 11
 
5.6%
지 11
 
5.6%
과 8
 
4.1%
통 5
 
2.6%
유 5
 
2.6%
Other values (36) 91
46.4%
Lowercase Letter
ValueCountFrequency (%)
o 304
11.9%
n 270
10.5%
e 259
10.1%
a 252
9.8%
r 218
8.5%
i 205
8.0%
l 178
 
6.9%
t 139
 
5.4%
c 137
 
5.3%
s 103
 
4.0%
Other values (14) 498
19.4%
Uppercase Letter
ValueCountFrequency (%)
I 47
 
8.2%
O 44
 
7.7%
J 43
 
7.5%
E 41
 
7.2%
M 36
 
6.3%
B 35
 
6.1%
S 35
 
6.1%
P 34
 
6.0%
R 33
 
5.8%
T 32
 
5.6%
Other values (14) 190
33.3%
Other Punctuation
ValueCountFrequency (%)
& 4
26.7%
. 4
26.7%
: 3
20.0%
, 3
20.0%
/ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
333
100.0%
Math Symbol
ValueCountFrequency (%)
= 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3133
84.6%
Common 376
 
10.1%
Hangul 161
 
4.3%
Han 35
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 304
 
9.7%
n 270
 
8.6%
e 259
 
8.3%
a 252
 
8.0%
r 218
 
7.0%
i 205
 
6.5%
l 178
 
5.7%
t 139
 
4.4%
c 137
 
4.4%
s 103
 
3.3%
Other values (38) 1068
34.1%
Hangul
ValueCountFrequency (%)
학 16
 
9.9%
회 14
 
8.7%
국 12
 
7.5%
한 12
 
7.5%
품 11
 
6.8%
식 11
 
6.8%
지 11
 
6.8%
과 8
 
5.0%
통 5
 
3.1%
유 5
 
3.1%
Other values (24) 56
34.8%
Han
ValueCountFrequency (%)
學 4
11.4%
會 4
11.4%
誌 4
11.4%
國 4
11.4%
韓 4
11.4%
農 3
8.6%
村 3
8.6%
計 3
8.6%
劃 3
8.6%
工 1
 
2.9%
Other values (2) 2
5.7%
Common
ValueCountFrequency (%)
333
88.6%
= 10
 
2.7%
) 7
 
1.9%
( 7
 
1.9%
& 4
 
1.1%
. 4
 
1.1%
- 4
 
1.1%
: 3
 
0.8%
, 3
 
0.8%
/ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3509
94.7%
Hangul 161
 
4.3%
CJK 35
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
 
9.5%
o 304
 
8.7%
n 270
 
7.7%
e 259
 
7.4%
a 252
 
7.2%
r 218
 
6.2%
i 205
 
5.8%
l 178
 
5.1%
t 139
 
4.0%
c 137
 
3.9%
Other values (48) 1214
34.6%
Hangul
ValueCountFrequency (%)
학 16
 
9.9%
회 14
 
8.7%
국 12
 
7.5%
한 12
 
7.5%
품 11
 
6.8%
식 11
 
6.8%
지 11
 
6.8%
과 8
 
5.0%
통 5
 
3.1%
유 5
 
3.1%
Other values (24) 56
34.8%
CJK
ValueCountFrequency (%)
學 4
11.4%
會 4
11.4%
誌 4
11.4%
國 4
11.4%
韓 4
11.4%
農 3
8.6%
村 3
8.6%
計 3
8.6%
劃 3
8.6%
工 1
 
2.9%
Other values (2) 2
5.7%

Interactions

2023-12-11T12:39:55.923822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:55.140862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:55.494331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:56.159032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:55.247924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:55.618525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:56.380628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:55.369427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:55.751481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:40:01.440209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호사업명과제명연구책임자학술지 출판년도저자
번호1.0000.9350.8450.9620.9620.6601.000
과제번호0.9351.0000.9051.0001.0000.6851.000
사업명0.8450.9051.0001.0001.0000.6951.000
과제명0.9621.0001.0001.0001.0000.7111.000
연구책임자0.9621.0001.0001.0001.0000.7111.000
학술지 출판년도0.6600.6850.6950.7110.7111.0001.000
저자1.0001.0001.0001.0001.0001.0001.000
2023-12-11T12:40:01.583321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구책임자사업명과제명
연구책임자1.0000.9531.000
사업명0.9531.0000.953
과제명1.0000.9531.000
2023-12-11T12:40:01.698073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호학술지 출판년도사업명과제명연구책임자
번호1.0000.9940.0880.6440.8020.802
과제번호0.9941.0000.1010.6330.9420.942
학술지 출판년도0.0880.1011.0000.3070.3620.362
사업명0.6440.6330.3071.0000.9530.953
과제명0.8020.9420.3620.9531.0001.000
연구책임자0.8020.9420.3620.9531.0001.000

Missing values

2023-12-11T12:39:56.689241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:39:57.002065image/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

번호분류과제번호사업명과제명연구책임자논문명학술지 출판년도저자학술지명
01농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Construction of a biocompatible decellularized porcine hepatic lobe for liver bioengineering2015박경미;김현민;Pankaj K Teotia;김진훈;우흥명,박경미;김현민;Pankaj K Teotia;김진훈;우흥명The International Journal of Artificial Organs
12농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Hepatic Cell Encapsulation Using a Decellularized Liver Scaffold2015Kamal Hany Hussein;박경미;우흥명,Kamal Hany Hussein;박경미;우흥명Biomedical Engineering Letter
23농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Acute Rejection after Swine Leukocyte Antigen Matched Kidney Allo-Transplantation in Cloned Miniature Pigs with Different Mitochondrial DNA Encoded Minor Histocompatibility Antigen2013박경미, Pankaj Kumar Teotia,이근식, 이은송, 홍석호, 양세란, 박성민, 박찬규, 이경우,박경미, Pankaj Kumar Teotia,이근식, 이은송, 홍석호, 양세란, 박성민, 박찬규, 이경우Transplantation Proceedings
34농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Three dimensional culture of HepG2 liver cells on a rat decellularized liver matrix for pharmacological studies2015박경미;김진훈;양세란;우흥명,박경미;김진훈;양세란;우흥명Journal of Biomedical Materials Research Part B
45농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Identifying the Degree of Major Histocompatibility Complex Matching in Genetically Unrelated Dogs With the Use of Microsatellite Markers2014강형순;Hussein KH; 김현민;곽호현;우흥명,강형순;Hussein KH; 김현민;곽호현;우흥명Transplantation Proceedings
56농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Sterilization using electrolyzed water highly retains the biological properties in tissue-engineered porcine liver scaffold2013박경미, Pankaj Kumar Teotia, 홍석호, 양세란, 박성민, 안철;우흥명,박경미, Pankaj Kumar Teotia, 홍석호, 양세란, 박성민, 안철;우흥명THE INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS
67농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Disparate Hypervariable Region-1 of Mitochondrial DNA Did Not2013남현숙, 박성민;우흥명,남현숙, 박성민;우흥명Transplantation Proceedings
78농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Fabrication of a biogradable xenoantigen-free rat liver scaffold for potential drug screening applications2013박경미, Pankaj Kumar Teotia, 양정원, 김현민, 홍석호, 양세란, 박성민, 우흥명,박경미, Pankaj Kumar Teotia, 양정원, 김현민, 홍석호, 양세란, 박성민, 우흥명Transplantation Proceedings
89농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란Mouse Adipose Tissue-derived Adult Stem Cells Expressed Osteogenic Specific Transcripts of Osteocalcin and Parathyroid Hormone Receptor during Osteogenesis2012Kamal El-Din Hussein, 박경미, 홍석호, 박성민, 양세란, 우흥명,Kamal El-Din Hussein, 박경미, 홍석호, 박성민, 양세란, 우흥명Transplantation Proceedings
910농림식품 융복합112008농생명산업기술개발사업돼지줄기세포 유래 분화세포와 생체지지체 개발 및 상용화양세란γ-Glutamyl transferase as an early and sensitive marker in ethanol-induced liver injury of rats2013양정원;이한별;박정란;홍석호;우흥명;이승구;서인범;류세민;조성준;박성민;양세란,양정원;이한별;박정란;홍석호;우흥명;이승구;서인범;류세민;조성준;박성민;양세란Transplantation Proceedings
번호분류과제번호사업명과제명연구책임자논문명학술지 출판년도저자학술지명
117118농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼오리발 유래 콜라겐/락타이드 글리콜라이드 공중합체 지지체에서의 골분화능 효과2015<NA>Polymer(Korea)
118119농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼오리발 유래 콜라겐/락타이드 글리콜라이드 하이브리드 지지체의 특성 및 염증 완화 효과2015<NA>Polymer(Korea)
119120농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼헤스페리딘을 함유한 락타이드 글리콜라이드 공중합체 지지체에서섬유륜 세포의 증식과 거동 평가2015<NA>Polymer(Korea)
120121농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼오리발 유래 콜라겐 스펀지의 피부재생 효과: In vitro 연구2015정현기;김수영;김은영;송정은;박찬흠;권순용;강길선;,정현기;김수영;김은영;송정은;박찬흠;권순용;강길선;폴리머 = Polymer (Korea)
121122농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼Fabrication of 3D porous silk scaffolds by particulate (salt/sucrose) leaching for bone tissue reconstruction2015<NA>International Journal of Biological Macromolecules
122123농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼Evaluation of Collagen from Livestock Waste of Duck’s Feet and Its Application of Materials for Beauty Food industry2014Se Rom Cha; Na Keum Jang; Soo Min Kim; Eun Young Kim; Jeong Eun Song; Chan Hum Park;Gilson Khang,Se Rom Cha; Na Keum Jang; Soo Min Kim; Eun Young Kim; Jeong Eun Song; Chan Hum Park;Gilson KhangInternational Journal of Tissue Regeneration,
123124농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼Inflammatory Response Effect of Duck's Feet Derived Collagen Scaffolds for Bone Tissue Engineering2014Na Keum Jang; Hyeon Kuk; Eun Young Kim; Jeong Eun Song;Chan Hum Park; Gilson Khang,Na Keum Jang; Hyeon Kuk; Eun Young Kim; Jeong Eun Song;Chan Hum Park; Gilson KhangInternational Journal of Tissue Regeneration
124125농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼Osteogenesis evaluation of duck's feet-derived collagen/hydroxyapatite sponges immersed in dexamethasone2017<NA>Biomaterials research
125126농림식품 융복합814005기술사업화지원오리발 유래 콜라겐을 활용한 생체재료 개발 및 상용화서동삼Application of a Collagen Patch Derived from Duck Feet in Acute Tympanic Membrane Perforation2017<NA>Tissue Eng Regen Med
126127농림식품 융복합816013기술사업화지원농산자원으로부터 인지기능 개선 기능성소재를 이용한 고령친화형 제품개발 및 사업화기획허수학흑메밀 추출물의 항산화 및 항염증 활성2016<NA>Journal of Naturopathy