Overview

Dataset statistics

Number of variables9
Number of observations134
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory74.0 B

Variable types

Numeric1
Categorical2
Text5
DateTime1

Dataset

Description농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다. 우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 농산 R&D 논문정보 공개
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075470/fileData.do

Alerts

분류 has constant value ""Constant
번호 is highly overall correlated with 연구책임자High correlation
연구책임자 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:41:54.612649
Analysis finished2023-12-13 00:41:55.831236
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.5
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T09:41:55.890943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.65
Q134.25
median67.5
Q3100.75
95-th percentile127.35
Maximum134
Range133
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation38.826537
Coefficient of variation (CV)0.57520796
Kurtosis-1.2
Mean67.5
Median Absolute Deviation (MAD)33.5
Skewness0
Sum9045
Variance1507.5
MonotonicityStrictly increasing
2023-12-13T09:41:56.003572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
86 1
 
0.7%
100 1
 
0.7%
99 1
 
0.7%
98 1
 
0.7%
97 1
 
0.7%
96 1
 
0.7%
95 1
 
0.7%
94 1
 
0.7%
93 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%
125 1
0.7%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
농산
134 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농산 134
100.0%

Length

2023-12-13T09:41:56.107090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:41:56.175645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농산 134
100.0%

과제번호
Text

Distinct51
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T09:41:56.329318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1072
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

Unique25 ?
Unique (%)18.7%

Sample

1st row112129-5
2nd row114082-3
3rd row114092-3
4th row115075-2
5th row115080-2
ValueCountFrequency (%)
315004-5 16
 
11.9%
314029-3 9
 
6.7%
316032-5 9
 
6.7%
710011-3 9
 
6.7%
316016-4 6
 
4.5%
317019-4 5
 
3.7%
315003-5 5
 
3.7%
315001-5 5
 
3.7%
318063-3 4
 
3.0%
817022-3 3
 
2.2%
Other values (41) 63
47.0%
2023-12-13T09:41:56.593135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 216
20.1%
0 184
17.2%
3 176
16.4%
- 134
12.5%
5 92
8.6%
7 63
 
5.9%
4 56
 
5.2%
2 54
 
5.0%
6 43
 
4.0%
9 27
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 938
87.5%
Dash Punctuation 134
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 216
23.0%
0 184
19.6%
3 176
18.8%
5 92
9.8%
7 63
 
6.7%
4 56
 
6.0%
2 54
 
5.8%
6 43
 
4.6%
9 27
 
2.9%
8 27
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1072
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 216
20.1%
0 184
17.2%
3 176
16.4%
- 134
12.5%
5 92
8.6%
7 63
 
5.9%
4 56
 
5.2%
2 54
 
5.0%
6 43
 
4.0%
9 27
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 216
20.1%
0 184
17.2%
3 176
16.4%
- 134
12.5%
5 92
8.6%
7 63
 
5.9%
4 56
 
5.2%
2 54
 
5.0%
6 43
 
4.0%
9 27
 
2.5%

과제명
Text

Distinct51
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T09:41:56.826643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length33.052239
Min length10

Characters and Unicode

Total characters4429
Distinct characters290
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

Unique25 ?
Unique (%)18.7%

Sample

1st row자생 무궁화 유전자원을 이용한 키 낮은 무궁화 신품종 육성
2nd row수출을 위한 심비디움 저비용 고품질 재배기술 및 수확후 최적 일괄관리 기술 개발 및 현장화
3rd row수출용 아스파라거스의 신선도 유지기술 및 규격품 생산 기술 개발
4th row유전체 재분석을 이용한 사과 아조변이 품종 판별 기술 개발
5th row콩의 가뭄저항성 강화를 위한 스트레스 메모리 프라이밍
ValueCountFrequency (%)
및 70
 
6.3%
개발 54
 
4.8%
위한 41
 
3.7%
연구 36
 
3.2%
기술 25
 
2.2%
수출 21
 
1.9%
고품질 20
 
1.8%
모델 17
 
1.5%
시설딸기 16
 
1.4%
안전생산을 16
 
1.4%
Other values (275) 803
71.8%
2023-12-13T09:41:57.167285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
987
 
22.3%
기 140
 
3.2%
화 120
 
2.7%
한 74
 
1.7%
산 73
 
1.6%
및 70
 
1.6%
발 69
 
1.6%
개 68
 
1.5%
술 66
 
1.5%
구 61
 
1.4%
Other values (280) 2701
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3212
72.5%
Space Separator 987
 
22.3%
Lowercase Letter 69
 
1.6%
Uppercase Letter 59
 
1.3%
Other Punctuation 39
 
0.9%
Close Punctuation 23
 
0.5%
Open Punctuation 23
 
0.5%
Decimal Number 12
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 140
 
4.4%
화 120
 
3.7%
한 74
 
2.3%
산 73
 
2.3%
및 70
 
2.2%
발 69
 
2.1%
개 68
 
2.1%
술 66
 
2.1%
구 61
 
1.9%
생 58
 
1.8%
Other values (245) 2413
75.1%
Lowercase Letter
ValueCountFrequency (%)
r 11
15.9%
e 10
14.5%
a 8
11.6%
o 6
8.7%
t 5
7.2%
m 5
7.2%
u 4
 
5.8%
n 4
 
5.8%
s 4
 
5.8%
d 2
 
2.9%
Other values (5) 10
14.5%
Uppercase Letter
ValueCountFrequency (%)
C 14
23.7%
I 12
20.3%
T 12
20.3%
F 6
10.2%
P 4
 
6.8%
B 4
 
6.8%
R 2
 
3.4%
A 2
 
3.4%
G 2
 
3.4%
S 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 34
87.2%
. 3
 
7.7%
· 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
6 6
50.0%
2 3
25.0%
1 3
25.0%
Space Separator
ValueCountFrequency (%)
987
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3212
72.5%
Common 1089
 
24.6%
Latin 128
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 140
 
4.4%
화 120
 
3.7%
한 74
 
2.3%
산 73
 
2.3%
및 70
 
2.2%
발 69
 
2.1%
개 68
 
2.1%
술 66
 
2.1%
구 61
 
1.9%
생 58
 
1.8%
Other values (245) 2413
75.1%
Latin
ValueCountFrequency (%)
C 14
 
10.9%
I 12
 
9.4%
T 12
 
9.4%
r 11
 
8.6%
e 10
 
7.8%
a 8
 
6.2%
F 6
 
4.7%
o 6
 
4.7%
t 5
 
3.9%
m 5
 
3.9%
Other values (15) 39
30.5%
Common
ValueCountFrequency (%)
987
90.6%
, 34
 
3.1%
) 23
 
2.1%
( 23
 
2.1%
6 6
 
0.6%
- 5
 
0.5%
2 3
 
0.3%
1 3
 
0.3%
. 3
 
0.3%
· 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3212
72.5%
ASCII 1215
 
27.4%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
987
81.2%
, 34
 
2.8%
) 23
 
1.9%
( 23
 
1.9%
C 14
 
1.2%
I 12
 
1.0%
T 12
 
1.0%
r 11
 
0.9%
e 10
 
0.8%
a 8
 
0.7%
Other values (24) 81
 
6.7%
Hangul
ValueCountFrequency (%)
기 140
 
4.4%
화 120
 
3.7%
한 74
 
2.3%
산 73
 
2.3%
및 70
 
2.2%
발 69
 
2.1%
개 68
 
2.1%
술 66
 
2.1%
구 61
 
1.9%
생 58
 
1.8%
Other values (245) 2413
75.1%
None
ValueCountFrequency (%)
· 2
100.0%

연구책임자
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
강남준
16 
임진희
15 
강병철
9 
정우진
9 
김상숙
 
5
Other values (42)
80 

Length

Max length14
Median length3
Mean length3.0522388
Min length2

Unique

Unique21 ?
Unique (%)15.7%

Sample

1st row임기병
2nd row김기선
3rd row강호민
4th row최철
5th row정종주

Common Values

ValueCountFrequency (%)
강남준 16
 
11.9%
임진희 15
 
11.2%
강병철 9
 
6.7%
정우진 9
 
6.7%
김상숙 5
 
3.7%
김대일 5
 
3.7%
신창선 5
 
3.7%
김완순 4
 
3.0%
임기병 4
 
3.0%
최철 4
 
3.0%
Other values (37) 58
43.3%

Length

2023-12-13T09:41:57.274211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남준 16
 
11.8%
임진희 15
 
11.0%
강병철 9
 
6.6%
정우진 9
 
6.6%
김상숙 5
 
3.7%
김대일 5
 
3.7%
신창선 5
 
3.7%
김완순 4
 
2.9%
임기병 4
 
2.9%
최철 4
 
2.9%
Other values (39) 60
44.1%

논문명
Text

Distinct124
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T09:41:57.535961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length122
Mean length92.791045
Min length9

Characters and Unicode

Total characters12434
Distinct characters287
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

Unique115 ?
Unique (%)85.8%

Sample

1st rowPhenotypic Characteristics and Karyotype Analysis of Hibiscus sabdariffa var. sabdariffa by Fluorescence in Situ Hybridization (FISH)
2nd rowGrowth and photosynthesis of young Cymbidium as influenced by supplemental lighting timing
3rd row포장 방법에 따른 아스파라거스의 저온저장 중 품질변화
4th rowDifferential gene expression and epigenetic analyses between striped and blushed skinned sports of ‘Fuji’ apple
5th row입력중복-삭제요청
ValueCountFrequency (%)
of 120
 
6.6%
and 83
 
4.5%
in 54
 
2.9%
the 39
 
2.1%
on 20
 
1.1%
a 17
 
0.9%
quality 14
 
0.8%
using 13
 
0.7%
analysis 13
 
0.7%
for 13
 
0.7%
Other values (924) 1445
78.9%
2023-12-13T09:41:57.953696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1703
 
13.7%
e 877
 
7.1%
i 869
 
7.0%
o 799
 
6.4%
n 771
 
6.2%
t 761
 
6.1%
a 752
 
6.0%
r 621
 
5.0%
s 586
 
4.7%
l 409
 
3.3%
Other values (277) 4286
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9056
72.8%
Space Separator 1703
 
13.7%
Uppercase Letter 725
 
5.8%
Other Letter 722
 
5.8%
Other Punctuation 82
 
0.7%
Decimal Number 51
 
0.4%
Dash Punctuation 37
 
0.3%
Close Punctuation 20
 
0.2%
Open Punctuation 20
 
0.2%
Final Punctuation 6
 
< 0.1%
Other values (2) 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 28
 
3.9%
에 25
 
3.5%
과 16
 
2.2%
생 15
 
2.1%
장 15
 
2.1%
기 14
 
1.9%
성 14
 
1.9%
및 13
 
1.8%
향 12
 
1.7%
배 10
 
1.4%
Other values (198) 560
77.6%
Lowercase Letter
ValueCountFrequency (%)
e 877
 
9.7%
i 869
 
9.6%
o 799
 
8.8%
n 771
 
8.5%
t 761
 
8.4%
a 752
 
8.3%
r 621
 
6.9%
s 586
 
6.5%
l 409
 
4.5%
c 325
 
3.6%
Other values (17) 2286
25.2%
Uppercase Letter
ValueCountFrequency (%)
P 71
 
9.8%
S 61
 
8.4%
C 56
 
7.7%
A 55
 
7.6%
R 52
 
7.2%
L 45
 
6.2%
F 45
 
6.2%
M 42
 
5.8%
D 37
 
5.1%
T 32
 
4.4%
Other values (16) 229
31.6%
Decimal Number
ValueCountFrequency (%)
1 16
31.4%
2 12
23.5%
0 5
 
9.8%
3 4
 
7.8%
5 4
 
7.8%
9 3
 
5.9%
6 3
 
5.9%
8 3
 
5.9%
7 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
' 30
36.6%
, 30
36.6%
. 15
18.3%
: 5
 
6.1%
· 1
 
1.2%
/ 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
> 2
33.3%
× 2
33.3%
< 2
33.3%
Final Punctuation
ValueCountFrequency (%)
’ 5
83.3%
” 1
 
16.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
83.3%
“ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1703
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9780
78.7%
Common 1931
 
15.5%
Hangul 722
 
5.8%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 28
 
3.9%
에 25
 
3.5%
과 16
 
2.2%
생 15
 
2.1%
장 15
 
2.1%
기 14
 
1.9%
성 14
 
1.9%
및 13
 
1.8%
향 12
 
1.7%
배 10
 
1.4%
Other values (198) 560
77.6%
Latin
ValueCountFrequency (%)
e 877
 
9.0%
i 869
 
8.9%
o 799
 
8.2%
n 771
 
7.9%
t 761
 
7.8%
a 752
 
7.7%
r 621
 
6.3%
s 586
 
6.0%
l 409
 
4.2%
c 325
 
3.3%
Other values (42) 3010
30.8%
Common
ValueCountFrequency (%)
1703
88.2%
- 37
 
1.9%
' 30
 
1.6%
, 30
 
1.6%
) 20
 
1.0%
( 20
 
1.0%
1 16
 
0.8%
. 15
 
0.8%
2 12
 
0.6%
0 5
 
0.3%
Other values (16) 43
 
2.2%
Greek
ValueCountFrequency (%)
γ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11696
94.1%
Hangul 722
 
5.8%
Punctuation 12
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1703
14.6%
e 877
 
7.5%
i 869
 
7.4%
o 799
 
6.8%
n 771
 
6.6%
t 761
 
6.5%
a 752
 
6.4%
r 621
 
5.3%
s 586
 
5.0%
l 409
 
3.5%
Other values (62) 3548
30.3%
Hangul
ValueCountFrequency (%)
의 28
 
3.9%
에 25
 
3.5%
과 16
 
2.2%
생 15
 
2.1%
장 15
 
2.1%
기 14
 
1.9%
성 14
 
1.9%
및 13
 
1.8%
향 12
 
1.7%
배 10
 
1.4%
Other values (198) 560
77.6%
Punctuation
ValueCountFrequency (%)
’ 5
41.7%
‘ 5
41.7%
” 1
 
8.3%
“ 1
 
8.3%
None
ValueCountFrequency (%)
× 2
50.0%
· 1
25.0%
γ 1
25.0%

학술지게재일
Date

Distinct75
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2020-01-01 00:00:00
Maximum2020-11-30 00:00:00
2023-12-13T09:41:58.059172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:41:58.167426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct119
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T09:41:58.446675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length119.5
Mean length72.223881
Min length8

Characters and Unicode

Total characters9678
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)79.9%

Sample

1st row주저자 : Deen Mohammad Deepo, 공저자 : Cherry Ann Tapec, 공저자 : Hong-Yul Kim, 공저자 : Md. Mazharul Islam, 교신(책임)저자 : Ki-Byung Lim
2nd row주저자 : Jihyun Park, 공저자 : Hyo Beom Lee, 공저자 : Ju Hee Lee, 공저자 : Seong Kwang An, 교신(책임)저자 : Ki Sun Kim
3rd row주저자 : 왕 립, 공저자 : 최인이, 교신(책임)저자 : 강호민
4th row주저자 : Hye Jeong Cho, 공저자 : Gi Hoon Kim, 교신(책임)저자 : Cheol Choi
5th row주저자 : Yeon-Ki Kim, 교신(책임)저자 : Jong-Joo Cheong
ValueCountFrequency (%)
617
28.2%
공저자 344
15.7%
주저자 141
 
6.4%
교신(책임)저자 127
 
5.8%
kim 46
 
2.1%
lee 33
 
1.5%
park 18
 
0.8%
lim 16
 
0.7%
ha 11
 
0.5%
강남준 9
 
0.4%
Other values (512) 826
37.8%
2023-12-13T09:41:58.864654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2058
21.3%
자 613
 
6.3%
저 612
 
6.3%
: 612
 
6.3%
, 483
 
5.0%
공 345
 
3.6%
n 294
 
3.0%
a 247
 
2.6%
e 219
 
2.3%
o 198
 
2.0%
Other values (204) 3997
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3254
33.6%
Lowercase Letter 2060
21.3%
Space Separator 2058
21.3%
Other Punctuation 1173
 
12.1%
Uppercase Letter 794
 
8.2%
Open Punctuation 130
 
1.3%
Close Punctuation 130
 
1.3%
Dash Punctuation 77
 
0.8%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 613
18.8%
저 612
18.8%
공 345
 
10.6%
주 147
 
4.5%
임 134
 
4.1%
신 133
 
4.1%
교 127
 
3.9%
책 127
 
3.9%
김 61
 
1.9%
이 57
 
1.8%
Other values (146) 898
27.6%
Lowercase Letter
ValueCountFrequency (%)
n 294
14.3%
a 247
12.0%
e 219
10.6%
o 198
9.6%
i 192
9.3%
u 160
7.8%
g 153
7.4%
m 115
 
5.6%
h 100
 
4.9%
y 68
 
3.3%
Other values (16) 314
15.2%
Uppercase Letter
ValueCountFrequency (%)
K 96
12.1%
J 83
10.5%
H 80
 
10.1%
S 72
 
9.1%
L 59
 
7.4%
Y 59
 
7.4%
M 43
 
5.4%
T 38
 
4.8%
C 33
 
4.2%
B 28
 
3.5%
Other values (14) 203
25.6%
Other Punctuation
ValueCountFrequency (%)
: 612
52.2%
, 483
41.2%
. 78
 
6.6%
Space Separator
ValueCountFrequency (%)
2058
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3570
36.9%
Hangul 3254
33.6%
Latin 2854
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 613
18.8%
저 612
18.8%
공 345
 
10.6%
주 147
 
4.5%
임 134
 
4.1%
신 133
 
4.1%
교 127
 
3.9%
책 127
 
3.9%
김 61
 
1.9%
이 57
 
1.8%
Other values (146) 898
27.6%
Latin
ValueCountFrequency (%)
n 294
 
10.3%
a 247
 
8.7%
e 219
 
7.7%
o 198
 
6.9%
i 192
 
6.7%
u 160
 
5.6%
g 153
 
5.4%
m 115
 
4.0%
h 100
 
3.5%
K 96
 
3.4%
Other values (40) 1080
37.8%
Common
ValueCountFrequency (%)
2058
57.6%
: 612
 
17.1%
, 483
 
13.5%
( 130
 
3.6%
) 130
 
3.6%
. 78
 
2.2%
- 77
 
2.2%
1 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6424
66.4%
Hangul 3254
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2058
32.0%
: 612
 
9.5%
, 483
 
7.5%
n 294
 
4.6%
a 247
 
3.8%
e 219
 
3.4%
o 198
 
3.1%
i 192
 
3.0%
u 160
 
2.5%
g 153
 
2.4%
Other values (48) 1808
28.1%
Hangul
ValueCountFrequency (%)
자 613
18.8%
저 612
18.8%
공 345
 
10.6%
주 147
 
4.5%
임 134
 
4.1%
신 133
 
4.1%
교 127
 
3.9%
책 127
 
3.9%
김 61
 
1.9%
이 57
 
1.8%
Other values (146) 898
27.6%

학술지명
Text

Distinct81
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T09:41:59.060877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length54
Mean length30.559701
Min length4

Characters and Unicode

Total characters4095
Distinct characters129
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)44.0%

Sample

1st rowHORTICULTURAL SCIENCE and TECHNOLOGY = 원예과학기술지
2nd row화훼연구
3rd row시설원예ㆍ식물공장 = Protected horticulture and plant factory
4th rowScientia Horticulturae
5th rowFrontiers
ValueCountFrequency (%)
and 40
 
7.7%
33
 
6.4%
of 33
 
6.4%
journal 29
 
5.6%
plant 19
 
3.7%
horticulture 19
 
3.7%
science 18
 
3.5%
biotechnology 17
 
3.3%
environment 11
 
2.1%
horticulturae 11
 
2.1%
Other values (136) 287
55.5%
2023-12-13T09:41:59.364546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
 
9.4%
o 331
 
8.1%
n 302
 
7.4%
e 251
 
6.1%
t 251
 
6.1%
r 236
 
5.8%
a 224
 
5.5%
i 220
 
5.4%
c 198
 
4.8%
l 189
 
4.6%
Other values (119) 1510
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2906
71.0%
Uppercase Letter 404
 
9.9%
Space Separator 383
 
9.4%
Other Letter 318
 
7.8%
Other Punctuation 43
 
1.1%
Math Symbol 25
 
0.6%
Decimal Number 9
 
0.2%
Dash Punctuation 5
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 27
 
8.5%
지 20
 
6.3%
회 18
 
5.7%
국 17
 
5.3%
한 16
 
5.0%
식 15
 
4.7%
원 14
 
4.4%
예 13
 
4.1%
과 12
 
3.8%
공 11
 
3.5%
Other values (58) 155
48.7%
Uppercase Letter
ValueCountFrequency (%)
A 42
 
10.4%
E 35
 
8.7%
H 33
 
8.2%
J 31
 
7.7%
C 24
 
5.9%
T 23
 
5.7%
P 22
 
5.4%
B 22
 
5.4%
F 21
 
5.2%
I 20
 
5.0%
Other values (14) 131
32.4%
Lowercase Letter
ValueCountFrequency (%)
o 331
11.4%
n 302
10.4%
e 251
8.6%
t 251
8.6%
r 236
8.1%
a 224
7.7%
i 220
 
7.6%
c 198
 
6.8%
l 189
 
6.5%
u 145
 
5.0%
Other values (13) 559
19.2%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
9 2
22.2%
2 1
 
11.1%
6 1
 
11.1%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 31
72.1%
& 6
 
14.0%
. 4
 
9.3%
: 2
 
4.7%
Space Separator
ValueCountFrequency (%)
383
100.0%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3310
80.8%
Common 467
 
11.4%
Hangul 302
 
7.4%
Han 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 27
 
8.9%
지 20
 
6.6%
회 18
 
6.0%
국 17
 
5.6%
한 16
 
5.3%
식 15
 
5.0%
원 14
 
4.6%
예 13
 
4.3%
과 12
 
4.0%
공 11
 
3.6%
Other values (45) 139
46.0%
Latin
ValueCountFrequency (%)
o 331
 
10.0%
n 302
 
9.1%
e 251
 
7.6%
t 251
 
7.6%
r 236
 
7.1%
a 224
 
6.8%
i 220
 
6.6%
c 198
 
6.0%
l 189
 
5.7%
u 145
 
4.4%
Other values (37) 963
29.1%
Common
ValueCountFrequency (%)
383
82.0%
, 31
 
6.6%
= 25
 
5.4%
& 6
 
1.3%
- 5
 
1.1%
1 4
 
0.9%
. 4
 
0.9%
: 2
 
0.4%
9 2
 
0.4%
2 1
 
0.2%
Other values (4) 4
 
0.9%
Han
ValueCountFrequency (%)
誌 2
12.5%
會 2
12.5%
學 2
12.5%
高 1
 
6.2%
麗 1
 
6.2%
人 1
 
6.2%
參 1
 
6.2%
藥 1
 
6.2%
韓 1
 
6.2%
國 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3777
92.2%
Hangul 295
 
7.2%
CJK 16
 
0.4%
Compat Jamo 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
 
10.1%
o 331
 
8.8%
n 302
 
8.0%
e 251
 
6.6%
t 251
 
6.6%
r 236
 
6.2%
a 224
 
5.9%
i 220
 
5.8%
c 198
 
5.2%
l 189
 
5.0%
Other values (51) 1192
31.6%
Hangul
ValueCountFrequency (%)
학 27
 
9.2%
지 20
 
6.8%
회 18
 
6.1%
국 17
 
5.8%
한 16
 
5.4%
식 15
 
5.1%
원 14
 
4.7%
예 13
 
4.4%
과 12
 
4.1%
공 11
 
3.7%
Other values (44) 132
44.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%
CJK
ValueCountFrequency (%)
誌 2
12.5%
會 2
12.5%
學 2
12.5%
高 1
 
6.2%
麗 1
 
6.2%
人 1
 
6.2%
參 1
 
6.2%
藥 1
 
6.2%
韓 1
 
6.2%
國 1
 
6.2%
Other values (3) 3
18.8%

Interactions

2023-12-13T09:41:55.609272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:41:59.438514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자학술지게재일학술지명
번호1.0000.9850.9850.9700.7540.887
과제번호0.9851.0001.0001.0000.9650.988
과제명0.9851.0001.0001.0000.9650.988
연구책임자0.9701.0001.0001.0000.9740.989
학술지게재일0.7540.9650.9650.9741.0000.971
학술지명0.8870.9880.9880.9890.9711.000
2023-12-13T09:41:59.515293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연구책임자
번호1.0000.671
연구책임자0.6711.000

Missing values

2023-12-13T09:41:55.697036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:41:55.793557image/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
01농산112129-5자생 무궁화 유전자원을 이용한 키 낮은 무궁화 신품종 육성임기병Phenotypic Characteristics and Karyotype Analysis of Hibiscus sabdariffa var. sabdariffa by Fluorescence in Situ Hybridization (FISH)2020-10-01주저자 : Deen Mohammad Deepo, 공저자 : Cherry Ann Tapec, 공저자 : Hong-Yul Kim, 공저자 : Md. Mazharul Islam, 교신(책임)저자 : Ki-Byung LimHORTICULTURAL SCIENCE and TECHNOLOGY = 원예과학기술지
12농산114082-3수출을 위한 심비디움 저비용 고품질 재배기술 및 수확후 최적 일괄관리 기술 개발 및 현장화김기선Growth and photosynthesis of young Cymbidium as influenced by supplemental lighting timing2020-09-30주저자 : Jihyun Park, 공저자 : Hyo Beom Lee, 공저자 : Ju Hee Lee, 공저자 : Seong Kwang An, 교신(책임)저자 : Ki Sun Kim화훼연구
23농산114092-3수출용 아스파라거스의 신선도 유지기술 및 규격품 생산 기술 개발강호민포장 방법에 따른 아스파라거스의 저온저장 중 품질변화2020-07-31주저자 : 왕 립, 공저자 : 최인이, 교신(책임)저자 : 강호민시설원예ㆍ식물공장 = Protected horticulture and plant factory
34농산115075-2유전체 재분석을 이용한 사과 아조변이 품종 판별 기술 개발최철Differential gene expression and epigenetic analyses between striped and blushed skinned sports of ‘Fuji’ apple2020-02-05주저자 : Hye Jeong Cho, 공저자 : Gi Hoon Kim, 교신(책임)저자 : Cheol ChoiScientia Horticulturae
45농산115080-2콩의 가뭄저항성 강화를 위한 스트레스 메모리 프라이밍정종주입력중복-삭제요청2020-10-09주저자 : Yeon-Ki Kim, 교신(책임)저자 : Jong-Joo CheongFrontiers
56농산115080-2콩의 가뭄저항성 강화를 위한 스트레스 메모리 프라이밍정종주Recurrent drought conditions enhance the induction of drought stress memory genes in Glycine max L.2020-10-09주저자 : Yeon-Ki Kim, 공저자 : Nam-Iee Oh, 공저자 : Nguyen Hoai Nguyen, 공저자 : Songhwa Choi, 교신(책임)저자 : Jong-Joo CheongFrontiers in Genetics
67농산116137-3참다래의 캡슐형 숙기조절제 및 비파괴 후숙과 선별 시스템 개발정천순Transcriptome Analysis of 'Haegeum' Gold Kiwifruit Following Ethylene Treatment to Improve Postharvest Ripening Quality2020-04-01주저자 : Han Ryul Choi, 주저자 : Shimeles Tilahun, 공저자 : Do Su Park, 공저자 : Hyok Kwon, 공저자 : Sung Min Park, 교신(책임)저자 : Cheon Soon JeongAgronomy
78농산116141-1단일염기서열 선별 세트 활용을 통한 콩 조숙종 품종개발 마커 발굴강성택Validation of marker-assisted selection in soybean breeding program for pod shattering resistance2020-10-26주저자 : Ji-Min Kim, 공저자 : Beom Kyu Kang, 공저자 : Bo-Keun Ha, 공저자 : Jiyeong Jung , 공저자 : Juseok Lee, 공저자 : Kyung-Hye Kim, 교신(책임)저자 : Sungtaeg KangEuphytica
89농산116160-2참외와 메론의 재조합을 통한 당도 및 베타카로틴 개선 신품종 개발 및 수출남시춘Induction of Tetraploidy in Watermelon with Oryzalin Treatments2020-04-02주저자 : Su-Jin Bae, 공저자 : Hong-Yul Kim, 공저자 : Md Mazharul Islam, 교신(책임)저자 : Ki-Byung LimHorticultural Science and Technology
910농산117028-3중국 수출용 당근 일대잡종 품종 육성 및 사업화최준화Effects of different colored film mulches on the growth and bolting time of radish (Raphanus sativus L.)2020-02-07주저자 : O New Lee, 교신(책임)저자 : Han Yong ParkScientia Horticulturae
번호분류과제번호과제명연구책임자논문명학술지게재일저자학술지명
124125농산710011-3전문인력 양성 교육 및 육종기반 연구 지원강병철Exploration of the interactions between mycoviruses and Fusarium graminearum2020-04-01주저자 : 유지숙, 교신(책임)저자 : 김국형Advances in virus research
125126농산710011-3전문인력 양성 교육 및 육종기반 연구 지원강병철Construction of a linkage map flanking the I locus controlling dominant white bulb color and analysis of differentially expressed genes between dominant white and red bulbs in onion (Allium cepa L.)2020-06-01주저자 : 서인호, 공저자 : 김주경, 공저자 : 문제학, 교신(책임)저자 : 김성길Euphytica
126127농산710011-3전문인력 양성 교육 및 육종기반 연구 지원강병철The ORF2 protein of Fusarium graminearum virus 1 suppresses the transcription of FgDICER2 and FgAGO1 to limit host antiviral defences2020-01-30주저자 : Jisuk Yu, 공저자 : Jeong-In Heo, 공저자 : Ju Yeon Park, 교신(책임)저자 : Kook-Hyung KimMolecular plant pathology
127128농산710011-3전문인력 양성 교육 및 육종기반 연구 지원강병철Candidate Gene Analysis Reveals That the Fruit Color Locus C1 Corresponds to PRR2 in Pepper (Capsicum frutescens)2020-04-09주저자 : 장소정, 주저자 : 정효봉, 공저자 : 강민영, 공저자 : 권진경, 공저자 : 김선아, 교신(책임)저자 : 강병철Frontiers in plant science
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129130농산710011-3전문인력 양성 교육 및 육종기반 연구 지원강병철Development and Characterization of an Ethyl Methane Sulfonate (EMS) Induced Mutant Population in Capsicum annuum L.2020-03-23주저자 : Muhammad Irfan Siddique 1, 공저자 : Jin Kyung Kwon, 공저자 : Jinkwan Jo, 공저자 : Joung-Ho Lee, 공저자 : Koeun Han , 공저자 : Seungki Back, 공저자 : Siyoung Jang , 교신(책임)저자 : Byoung-Cheorl KangPlants
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131132농산817022-3방화곤충에 무해하고 사용 간편한 천연유래물질을 이용한 과수용 적화제 개발 및 사업화손태권A study on Labor Force Reduction and Fruit Quality with the Use of Substances showing Thinning Effect in Fuji and Arisu Apple2020-09-30주저자 : Tae-Kwon SON, 공저자 : Kyeong-Yeoll LEE, 교신(책임)저자 : Yukio OZAKIJounal of the Faculty of Agriculture, Kyushu University
132133농산817022-3방화곤충에 무해하고 사용 간편한 천연유래물질을 이용한 과수용 적화제 개발 및 사업화손태권A study on Labor Force Reduction and Fruit Quality with the Use of Substances showing Thinning Effect in Fuji and Arisu Apple2020-09-30주저자 : Tae-Kwon SON, 공저자 : Yukio OZAKI, 교신(책임)저자 : Kyeong-Yeoll LEEJounal of the Faculty of Agriculture, Kyushu University
133134농산918009-4유전체 분석 기반 사과병해 방제 및 가지과 작물 생육촉진 미생물 제제 개발전용호Molecular changes associated with spontaneous phenotypic variation of Paenibacillus polymyxa, a commonly used biocontrol agent, and temperature-dependent control of variation2020-10-06주저자 : 이연미, 공저자 : 강석찬, 공저자 : 김영수, 공저자 : 김지현, 공저자 : 류충민, 공저자 : 박승환, 공저자 : 박정욱, 공저자 : 발라라주, 공저자 : 서영수, 교신(책임)저자 : 전용호SCIENTIFIC REPORTS