Overview

Dataset statistics

Number of variables7
Number of observations951
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.1 KiB
Average record size in memory56.1 B

Variable types

Categorical1
Text5
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품 관련 RnD 논문 성과 정보. 분류,과제번호,과제명,논문명,학술지게재일,저자,학술지명 등의 항목으로 구성
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15097821/fileData.do

Reproduction

Analysis started2024-03-14 09:40:38.605381
Analysis finished2024-03-14 09:40:40.623214
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

Distinct10
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
농림식품 기계ㆍ시스템
200 
식품
167 
농림식품 환경생태
137 
축산
136 
농림식품 융복합
133 
Other values (5)
178 

Length

Max length11
Median length2
Mean length5.7613039
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row농림식품 경제ㆍ사회
2nd row농림식품 기계ㆍ시스템
3rd row농림식품 기계ㆍ시스템
4th row농림식품 기계ㆍ시스템
5th row농림식품 기계ㆍ시스템

Common Values

ValueCountFrequency (%)
농림식품 기계ㆍ시스템 200
21.0%
식품 167
17.6%
농림식품 환경생태 137
14.4%
축산 136
14.3%
농림식품 융복합 133
14.0%
수의 106
11.1%
농산 68
 
7.2%
수산자원/생산 2
 
0.2%
농림식품 경제ㆍ사회 1
 
0.1%
<NA> 1
 
0.1%

Length

2024-03-14T18:40:40.834921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:40:41.180351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 471
33.1%
기계ㆍ시스템 200
14.1%
식품 167
 
11.7%
환경생태 137
 
9.6%
축산 136
 
9.6%
융복합 133
 
9.4%
수의 106
 
7.5%
농산 68
 
4.8%
수산자원/생산 2
 
0.1%
경제ㆍ사회 1
 
0.1%

과제번호
Text

Distinct337
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-14T18:40:42.442432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters7608
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

Unique137 ?
Unique (%)14.4%

Sample

1st row121020-3
2nd row120074-3
3rd row120074-3
4th row120093-3
5th row120093-3
ValueCountFrequency (%)
321027-5 25
 
2.6%
320005-4 24
 
2.5%
321036-5 22
 
2.3%
321028-5 17
 
1.8%
321035-5 10
 
1.1%
320043-5 10
 
1.1%
322008-5 10
 
1.1%
321055-5 9
 
0.9%
421045-3 9
 
0.9%
322047-5 9
 
0.9%
Other values (327) 806
84.8%
2024-03-14T18:40:43.946903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1504
19.8%
0 1246
16.4%
3 1218
16.0%
1 996
13.1%
- 951
12.5%
4 550
 
7.2%
5 441
 
5.8%
8 230
 
3.0%
7 188
 
2.5%
9 147
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6657
87.5%
Dash Punctuation 951
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1504
22.6%
0 1246
18.7%
3 1218
18.3%
1 996
15.0%
4 550
 
8.3%
5 441
 
6.6%
8 230
 
3.5%
7 188
 
2.8%
9 147
 
2.2%
6 137
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 951
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7608
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1504
19.8%
0 1246
16.4%
3 1218
16.0%
1 996
13.1%
- 951
12.5%
4 550
 
7.2%
5 441
 
5.8%
8 230
 
3.0%
7 188
 
2.5%
9 147
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1504
19.8%
0 1246
16.4%
3 1218
16.0%
1 996
13.1%
- 951
12.5%
4 550
 
7.2%
5 441
 
5.8%
8 230
 
3.0%
7 188
 
2.5%
9 147
 
1.9%

과제명
Text

Distinct335
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-14T18:40:45.130850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length55
Mean length34.776025
Min length7

Characters and Unicode

Total characters33072
Distinct characters534
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)14.2%

Sample

1st row[자유응모] 레스토랑 메뉴 대체(RMR) 제품 품질·안전 확보 기술 개발
2nd row농기계 부품 국산화 및 수입대체 기술 개발(유해가스 배출이 없는 촉매형 CO2 발생기)
3rd row농기계 부품 국산화 및 수입대체 기술 개발(유해가스 배출이 없는 촉매형 CO2 발생기)
4th row태양열을 활용한 에너지 생산저장관리 및 실증모델 구축
5th row태양열을 활용한 에너지 생산저장관리 및 실증모델 구축
ValueCountFrequency (%)
개발 698
 
8.2%
및 546
 
6.4%
기술 246
 
2.9%
위한 197
 
2.3%
기반 150
 
1.8%
시스템 98
 
1.2%
스마트 80
 
0.9%
모델 60
 
0.7%
활용한 53
 
0.6%
배양육 52
 
0.6%
Other values (1430) 6296
74.3%
2024-03-14T18:40:46.824200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7534
 
22.8%
발 888
 
2.7%
개 856
 
2.6%
기 821
 
2.5%
및 546
 
1.7%
용 500
 
1.5%
이 479
 
1.4%
스 426
 
1.3%
한 424
 
1.3%
화 405
 
1.2%
Other values (524) 20193
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23997
72.6%
Space Separator 7534
 
22.8%
Uppercase Letter 407
 
1.2%
Lowercase Letter 325
 
1.0%
Other Punctuation 294
 
0.9%
Decimal Number 236
 
0.7%
Open Punctuation 121
 
0.4%
Close Punctuation 119
 
0.4%
Dash Punctuation 34
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 888
 
3.7%
개 856
 
3.6%
기 821
 
3.4%
및 546
 
2.3%
용 500
 
2.1%
이 479
 
2.0%
스 426
 
1.8%
한 424
 
1.8%
화 405
 
1.7%
제 360
 
1.5%
Other values (458) 18292
76.2%
Uppercase Letter
ValueCountFrequency (%)
C 59
14.5%
R 34
 
8.4%
T 26
 
6.4%
V 24
 
5.9%
S 23
 
5.7%
I 23
 
5.7%
A 23
 
5.7%
M 23
 
5.7%
D 22
 
5.4%
O 21
 
5.2%
Other values (12) 129
31.7%
Lowercase Letter
ValueCountFrequency (%)
i 40
12.3%
k 28
 
8.6%
l 23
 
7.1%
e 23
 
7.1%
m 22
 
6.8%
t 22
 
6.8%
c 21
 
6.5%
n 20
 
6.2%
o 19
 
5.8%
u 18
 
5.5%
Other values (12) 89
27.4%
Decimal Number
ValueCountFrequency (%)
1 49
20.8%
2 42
17.8%
3 41
17.4%
0 33
14.0%
5 28
11.9%
4 16
 
6.8%
9 13
 
5.5%
6 8
 
3.4%
8 4
 
1.7%
7 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 107
36.4%
. 77
26.2%
· 70
23.8%
/ 39
 
13.3%
@ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 83
68.6%
[ 38
31.4%
Close Punctuation
ValueCountFrequency (%)
) 81
68.1%
] 38
31.9%
Space Separator
ValueCountFrequency (%)
7534
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23996
72.6%
Common 8343
 
25.2%
Latin 732
 
2.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 888
 
3.7%
개 856
 
3.6%
기 821
 
3.4%
및 546
 
2.3%
용 500
 
2.1%
이 479
 
2.0%
스 426
 
1.8%
한 424
 
1.8%
화 405
 
1.7%
제 360
 
1.5%
Other values (457) 18291
76.2%
Latin
ValueCountFrequency (%)
C 59
 
8.1%
i 40
 
5.5%
R 34
 
4.6%
k 28
 
3.8%
T 26
 
3.6%
V 24
 
3.3%
l 23
 
3.1%
e 23
 
3.1%
S 23
 
3.1%
I 23
 
3.1%
Other values (34) 429
58.6%
Common
ValueCountFrequency (%)
7534
90.3%
, 107
 
1.3%
( 83
 
1.0%
) 81
 
1.0%
. 77
 
0.9%
· 70
 
0.8%
1 49
 
0.6%
2 42
 
0.5%
3 41
 
0.5%
/ 39
 
0.5%
Other values (12) 220
 
2.6%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23994
72.6%
ASCII 9005
 
27.2%
None 70
 
0.2%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7534
83.7%
, 107
 
1.2%
( 83
 
0.9%
) 81
 
0.9%
. 77
 
0.9%
C 59
 
0.7%
1 49
 
0.5%
2 42
 
0.5%
3 41
 
0.5%
i 40
 
0.4%
Other values (55) 892
 
9.9%
Hangul
ValueCountFrequency (%)
발 888
 
3.7%
개 856
 
3.6%
기 821
 
3.4%
및 546
 
2.3%
용 500
 
2.1%
이 479
 
2.0%
스 426
 
1.8%
한 424
 
1.8%
화 405
 
1.7%
제 360
 
1.5%
Other values (456) 18289
76.2%
None
ValueCountFrequency (%)
· 70
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK
ValueCountFrequency (%)
多 1
100.0%

논문명
Text

Distinct913
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-14T18:40:48.266711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length146
Mean length105.47319
Min length4

Characters and Unicode

Total characters100305
Distinct characters499
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique876 ?
Unique (%)92.1%

Sample

1st row● 밀키트용 마리네이드 치킨 레그의 소비기한 설정에 관한 연구
2nd rowThe CO2 Concentration Variation During CO2 Enrichment in Greenhouse and the Effect of CO2 Enrichment on Plant Growth
3rd row촉매연소형 이산화탄소 발생기의 시동기간 단축에 관한 연구
4th rowData-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost
5th rowTRNSYS을 이용한 온실 적용 태양열 연계 지열히트펌프 융복합 난방시스템 열성능 해석
ValueCountFrequency (%)
of 808
 
5.9%
and 516
 
3.8%
in 364
 
2.6%
the 257
 
1.9%
for 211
 
1.5%
a 205
 
1.5%
on 164
 
1.2%
with 111
 
0.8%
using 107
 
0.8%
by 95
 
0.7%
Other values (4880) 10902
79.3%
2024-03-14T18:40:50.230950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12979
 
12.9%
e 8218
 
8.2%
i 7317
 
7.3%
a 6464
 
6.4%
o 6394
 
6.4%
n 6201
 
6.2%
t 6057
 
6.0%
r 4846
 
4.8%
s 4355
 
4.3%
l 3541
 
3.5%
Other values (489) 33933
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 75742
75.5%
Space Separator 12979
 
12.9%
Uppercase Letter 5605
 
5.6%
Other Letter 4118
 
4.1%
Dash Punctuation 617
 
0.6%
Decimal Number 510
 
0.5%
Other Punctuation 481
 
0.5%
Open Punctuation 106
 
0.1%
Close Punctuation 106
 
0.1%
Final Punctuation 17
 
< 0.1%
Other values (5) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 115
 
2.8%
한 112
 
2.7%
기 100
 
2.4%
에 93
 
2.3%
용 86
 
2.1%
수 75
 
1.8%
이 74
 
1.8%
지 59
 
1.4%
성 55
 
1.3%
가 52
 
1.3%
Other values (395) 3297
80.1%
Lowercase Letter
ValueCountFrequency (%)
e 8218
10.8%
i 7317
 
9.7%
a 6464
 
8.5%
o 6394
 
8.4%
n 6201
 
8.2%
t 6057
 
8.0%
r 4846
 
6.4%
s 4355
 
5.7%
l 3541
 
4.7%
c 3486
 
4.6%
Other values (20) 18863
24.9%
Uppercase Letter
ValueCountFrequency (%)
C 556
 
9.9%
S 518
 
9.2%
A 482
 
8.6%
P 474
 
8.5%
M 366
 
6.5%
E 355
 
6.3%
I 286
 
5.1%
D 285
 
5.1%
R 264
 
4.7%
T 255
 
4.5%
Other values (16) 1764
31.5%
Other Punctuation
ValueCountFrequency (%)
, 226
47.0%
. 102
21.2%
: 97
20.2%
/ 25
 
5.2%
' 13
 
2.7%
" 4
 
0.8%
% 3
 
0.6%
* 3
 
0.6%
′ 2
 
0.4%
， 2
 
0.4%
Other values (3) 4
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 109
21.4%
1 105
20.6%
3 84
16.5%
0 50
9.8%
5 36
 
7.1%
4 34
 
6.7%
7 32
 
6.3%
6 25
 
4.9%
9 18
 
3.5%
8 17
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 105
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 105
99.1%
] 1
 
0.9%
Final Punctuation
ValueCountFrequency (%)
’ 16
94.1%
” 1
 
5.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 12
92.3%
“ 1
 
7.7%
Other Symbol
ValueCountFrequency (%)
℃ 4
80.0%
● 1
 
20.0%
Space Separator
ValueCountFrequency (%)
12979
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 617
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 81338
81.1%
Common 14839
 
14.8%
Hangul 4114
 
4.1%
Greek 10
 
< 0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 115
 
2.8%
한 112
 
2.7%
기 100
 
2.4%
에 93
 
2.3%
용 86
 
2.1%
수 75
 
1.8%
이 74
 
1.8%
지 59
 
1.4%
성 55
 
1.3%
가 52
 
1.3%
Other values (391) 3293
80.0%
Latin
ValueCountFrequency (%)
e 8218
 
10.1%
i 7317
 
9.0%
a 6464
 
7.9%
o 6394
 
7.9%
n 6201
 
7.6%
t 6057
 
7.4%
r 4846
 
6.0%
s 4355
 
5.4%
l 3541
 
4.4%
c 3486
 
4.3%
Other values (43) 24459
30.1%
Common
ValueCountFrequency (%)
12979
87.5%
- 617
 
4.2%
, 226
 
1.5%
2 109
 
0.7%
1 105
 
0.7%
( 105
 
0.7%
) 105
 
0.7%
. 102
 
0.7%
: 97
 
0.7%
3 84
 
0.6%
Other values (27) 310
 
2.1%
Greek
ValueCountFrequency (%)
β 6
60.0%
κ 2
 
20.0%
γ 1
 
10.0%
α 1
 
10.0%
Han
ValueCountFrequency (%)
展 1
25.0%
循 1
25.0%
色 1
25.0%
示 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96135
95.8%
Hangul 4114
 
4.1%
Punctuation 32
 
< 0.1%
None 14
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
CJK 4
 
< 0.1%
Number Forms 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12979
13.5%
e 8218
 
8.5%
i 7317
 
7.6%
a 6464
 
6.7%
o 6394
 
6.7%
n 6201
 
6.5%
t 6057
 
6.3%
r 4846
 
5.0%
s 4355
 
4.5%
l 3541
 
3.7%
Other values (70) 29763
31.0%
Hangul
ValueCountFrequency (%)
의 115
 
2.8%
한 112
 
2.7%
기 100
 
2.4%
에 93
 
2.3%
용 86
 
2.1%
수 75
 
1.8%
이 74
 
1.8%
지 59
 
1.4%
성 55
 
1.3%
가 52
 
1.3%
Other values (391) 3293
80.0%
Punctuation
ValueCountFrequency (%)
’ 16
50.0%
‘ 12
37.5%
′ 2
 
6.2%
“ 1
 
3.1%
” 1
 
3.1%
None
ValueCountFrequency (%)
β 6
42.9%
κ 2
 
14.3%
， 2
 
14.3%
· 2
 
14.3%
γ 1
 
7.1%
α 1
 
7.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
● 1
100.0%
CJK
ValueCountFrequency (%)
展 1
25.0%
循 1
25.0%
色 1
25.0%
示 1
25.0%

학술지게재일
Date

Distinct295
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
Minimum2023-01-01 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T18:40:50.625855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:40:51.048177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct931
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-14T18:40:52.426118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length467
Median length212
Mean length93.498423
Min length8

Characters and Unicode

Total characters88917
Distinct characters328
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique911 ?
Unique (%)95.8%

Sample

1st row주저자 : 이은진, 공저자 : 차용준, 교신(책임)저자 : 문혜경
2nd row주저자 : 이선진, 공저자 : 정필수, 공저자 : 박동욱, 교신(책임)저자 : 성원석
3rd row주저자 : 박동욱, 주저자 : 정필수, 공저자 : 김우빈, 공저자 : 권현조, 공저자 : 진창민, 교신(책임)저자 : 최병철
4th row주저자 : Gwangwoo Han, 공저자 : Young-Sub An, 공저자 : Hee-Won Lim, 공저자 : Wang-Je Lee, 공저자 : Hong-Jin Joo, 교신(책임)저자 : Kyoung-Ho Lee
5th row주저자 : 임희원, 공저자 : 이왕제, 교신(책임)저자 : 신우철
ValueCountFrequency (%)
5303
27.1%
공저자 3011
 
15.4%
주저자 1151
 
5.9%
교신(책임)저자 1073
 
5.5%
kim 416
 
2.1%
lee 381
 
1.9%
park 136
 
0.7%
choi 124
 
0.6%
young 67
 
0.3%
jin 63
 
0.3%
Other values (3598) 7868
40.2%
2024-03-14T18:40:54.329108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18759
21.1%
자 5243
 
5.9%
: 5235
 
5.9%
저 5235
 
5.9%
, 4307
 
4.8%
n 3700
 
4.2%
공 3011
 
3.4%
o 2850
 
3.2%
e 2582
 
2.9%
a 2473
 
2.8%
Other values (318) 35522
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26371
29.7%
Lowercase Letter 23315
26.2%
Space Separator 18759
21.1%
Other Punctuation 9676
 
10.9%
Uppercase Letter 7810
 
8.8%
Close Punctuation 1109
 
1.2%
Open Punctuation 1108
 
1.2%
Dash Punctuation 769
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 5243
19.9%
저 5235
19.9%
공 3011
11.4%
주 1232
 
4.7%
신 1137
 
4.3%
임 1136
 
4.3%
교 1076
 
4.1%
책 1073
 
4.1%
김 453
 
1.7%
이 427
 
1.6%
Other values (259) 6348
24.1%
Lowercase Letter
ValueCountFrequency (%)
n 3700
15.9%
o 2850
12.2%
e 2582
11.1%
a 2473
10.6%
u 1970
8.4%
i 1880
8.1%
g 1670
7.2%
h 1219
 
5.2%
m 861
 
3.7%
y 780
 
3.3%
Other values (16) 3330
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 953
12.2%
J 864
11.1%
K 846
10.8%
H 821
10.5%
Y 596
 
7.6%
L 503
 
6.4%
C 443
 
5.7%
M 426
 
5.5%
A 278
 
3.6%
B 219
 
2.8%
Other values (16) 1861
23.8%
Other Punctuation
ValueCountFrequency (%)
: 5235
54.1%
, 4307
44.5%
. 134
 
1.4%
Space Separator
ValueCountFrequency (%)
18759
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 769
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31421
35.3%
Latin 31125
35.0%
Hangul 26369
29.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 5243
19.9%
저 5235
19.9%
공 3011
11.4%
주 1232
 
4.7%
신 1137
 
4.3%
임 1136
 
4.3%
교 1076
 
4.1%
책 1073
 
4.1%
김 453
 
1.7%
이 427
 
1.6%
Other values (257) 6346
24.1%
Latin
ValueCountFrequency (%)
n 3700
 
11.9%
o 2850
 
9.2%
e 2582
 
8.3%
a 2473
 
7.9%
u 1970
 
6.3%
i 1880
 
6.0%
g 1670
 
5.4%
h 1219
 
3.9%
S 953
 
3.1%
J 864
 
2.8%
Other values (42) 10964
35.2%
Common
ValueCountFrequency (%)
18759
59.7%
: 5235
 
16.7%
, 4307
 
13.7%
) 1109
 
3.5%
( 1108
 
3.5%
- 769
 
2.4%
. 134
 
0.4%
Han
ValueCountFrequency (%)
銀 1
50.0%
全 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62546
70.3%
Hangul 26369
29.7%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18759
30.0%
: 5235
 
8.4%
, 4307
 
6.9%
n 3700
 
5.9%
o 2850
 
4.6%
e 2582
 
4.1%
a 2473
 
4.0%
u 1970
 
3.1%
i 1880
 
3.0%
g 1670
 
2.7%
Other values (49) 17120
27.4%
Hangul
ValueCountFrequency (%)
자 5243
19.9%
저 5235
19.9%
공 3011
11.4%
주 1232
 
4.7%
신 1137
 
4.3%
임 1136
 
4.3%
교 1076
 
4.1%
책 1073
 
4.1%
김 453
 
1.7%
이 427
 
1.6%
Other values (257) 6346
24.1%
CJK
ValueCountFrequency (%)
銀 1
50.0%
全 1
50.0%

학술지명
Text

Distinct522
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-03-14T18:40:55.512239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length52
Mean length23.180862
Min length3

Characters and Unicode

Total characters22045
Distinct characters196
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

Unique366 ?
Unique (%)38.5%

Sample

1st row한국식품영양과학회
2nd rowInternational Journal of Engineering Research & Technology
3rd row한국연소학회지
4th rowEnergy
5th row대한설비공학회
ValueCountFrequency (%)
of 237
 
8.3%
journal 227
 
8.0%
and 171
 
6.0%
science 157
 
5.5%
food 84
 
2.9%
in 77
 
2.7%
animal 65
 
2.3%
frontiers 52
 
1.8%
plant 49
 
1.7%
technology 48
 
1.7%
Other values (559) 1683
59.1%
2024-03-14T18:40:57.140650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1912
 
8.7%
o 1826
 
8.3%
n 1780
 
8.1%
e 1699
 
7.7%
i 1525
 
6.9%
a 1286
 
5.8%
r 1262
 
5.7%
c 1065
 
4.8%
l 1045
 
4.7%
t 928
 
4.2%
Other values (186) 7717
35.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16082
73.0%
Uppercase Letter 2565
 
11.6%
Space Separator 1912
 
8.7%
Other Letter 1338
 
6.1%
Other Punctuation 89
 
0.4%
Dash Punctuation 26
 
0.1%
Decimal Number 17
 
0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 141
 
10.5%
회 119
 
8.9%
한 95
 
7.1%
국 92
 
6.9%
지 90
 
6.7%
문 35
 
2.6%
논 32
 
2.4%
농 29
 
2.2%
생 28
 
2.1%
과 28
 
2.1%
Other values (119) 649
48.5%
Lowercase Letter
ValueCountFrequency (%)
o 1826
11.4%
n 1780
11.1%
e 1699
10.6%
i 1525
9.5%
a 1286
8.0%
r 1262
7.8%
c 1065
 
6.6%
l 1045
 
6.5%
t 928
 
5.8%
s 688
 
4.3%
Other values (16) 2978
18.5%
Uppercase Letter
ValueCountFrequency (%)
S 278
 
10.8%
A 263
 
10.3%
J 239
 
9.3%
E 185
 
7.2%
F 172
 
6.7%
C 156
 
6.1%
P 151
 
5.9%
B 135
 
5.3%
M 126
 
4.9%
T 123
 
4.8%
Other values (15) 737
28.7%
Other Punctuation
ValueCountFrequency (%)
, 34
38.2%
. 31
34.8%
& 18
20.2%
: 2
 
2.2%
· 2
 
2.2%
' 1
 
1.1%
; 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 8
47.1%
3 4
23.5%
0 3
 
17.6%
1 1
 
5.9%
7 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1912
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18647
84.6%
Common 2060
 
9.3%
Hangul 1334
 
6.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 141
 
10.6%
회 119
 
8.9%
한 95
 
7.1%
국 92
 
6.9%
지 90
 
6.7%
문 35
 
2.6%
논 32
 
2.4%
농 29
 
2.2%
생 28
 
2.1%
과 28
 
2.1%
Other values (115) 645
48.4%
Latin
ValueCountFrequency (%)
o 1826
 
9.8%
n 1780
 
9.5%
e 1699
 
9.1%
i 1525
 
8.2%
a 1286
 
6.9%
r 1262
 
6.8%
c 1065
 
5.7%
l 1045
 
5.6%
t 928
 
5.0%
s 688
 
3.7%
Other values (41) 5543
29.7%
Common
ValueCountFrequency (%)
1912
92.8%
, 34
 
1.7%
. 31
 
1.5%
- 26
 
1.3%
& 18
 
0.9%
) 8
 
0.4%
( 8
 
0.4%
2 8
 
0.4%
3 4
 
0.2%
0 3
 
0.1%
Other values (6) 8
 
0.4%
Han
ValueCountFrequency (%)
管 1
25.0%
理 1
25.0%
中 1
25.0%
境 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20705
93.9%
Hangul 1334
 
6.1%
CJK 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1912
 
9.2%
o 1826
 
8.8%
n 1780
 
8.6%
e 1699
 
8.2%
i 1525
 
7.4%
a 1286
 
6.2%
r 1262
 
6.1%
c 1065
 
5.1%
l 1045
 
5.0%
t 928
 
4.5%
Other values (56) 6377
30.8%
Hangul
ValueCountFrequency (%)
학 141
 
10.6%
회 119
 
8.9%
한 95
 
7.1%
국 92
 
6.9%
지 90
 
6.7%
문 35
 
2.6%
논 32
 
2.4%
농 29
 
2.2%
생 28
 
2.1%
과 28
 
2.1%
Other values (115) 645
48.4%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
管 1
25.0%
理 1
25.0%
中 1
25.0%
境 1
25.0%

Missing values

2024-03-14T18:40:40.088649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:40:40.475694image/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

분류과제번호과제명논문명학술지게재일저자학술지명
0농림식품 경제ㆍ사회121020-3[자유응모] 레스토랑 메뉴 대체(RMR) 제품 품질·안전 확보 기술 개발● 밀키트용 마리네이드 치킨 레그의 소비기한 설정에 관한 연구2023-02-28주저자 : 이은진, 공저자 : 차용준, 교신(책임)저자 : 문혜경한국식품영양과학회
1농림식품 기계ㆍ시스템120074-3농기계 부품 국산화 및 수입대체 기술 개발(유해가스 배출이 없는 촉매형 CO2 발생기)The CO2 Concentration Variation During CO2 Enrichment in Greenhouse and the Effect of CO2 Enrichment on Plant Growth2023-02-02주저자 : 이선진, 공저자 : 정필수, 공저자 : 박동욱, 교신(책임)저자 : 성원석International Journal of Engineering Research & Technology
2농림식품 기계ㆍ시스템120074-3농기계 부품 국산화 및 수입대체 기술 개발(유해가스 배출이 없는 촉매형 CO2 발생기)촉매연소형 이산화탄소 발생기의 시동기간 단축에 관한 연구2023-02-06주저자 : 박동욱, 주저자 : 정필수, 공저자 : 김우빈, 공저자 : 권현조, 공저자 : 진창민, 교신(책임)저자 : 최병철한국연소학회지
3농림식품 기계ㆍ시스템120093-3태양열을 활용한 에너지 생산저장관리 및 실증모델 구축Data-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost2023-05-01주저자 : Gwangwoo Han, 공저자 : Young-Sub An, 공저자 : Hee-Won Lim, 공저자 : Wang-Je Lee, 공저자 : Hong-Jin Joo, 교신(책임)저자 : Kyoung-Ho LeeEnergy
4농림식품 기계ㆍ시스템120093-3태양열을 활용한 에너지 생산저장관리 및 실증모델 구축TRNSYS을 이용한 온실 적용 태양열 연계 지열히트펌프 융복합 난방시스템 열성능 해석2023-06-01주저자 : 임희원, 공저자 : 이왕제, 교신(책임)저자 : 신우철대한설비공학회
5농림식품 기계ㆍ시스템120093-3태양열을 활용한 에너지 생산저장관리 및 실증모델 구축기상청 개방형-API 기상정보 기반 중·소규모 태양광발전 성능평가 및 고장감지 원격 모니터링시스템2023-04-01주저자 : 임희원, 공저자 : 김일권, 교신(책임)저자 : 신우철한국태양에너지학회
6농림식품 기계ㆍ시스템120093-3태양열을 활용한 에너지 생산저장관리 및 실증모델 구축시뮬레이션 기반 실시간 평판형 태양열집열기 성능해석2023-07-01주저자 : 김일권, 공저자 : 임희원, 공저자 : 이왕제, 공저자 : 이경호, 교신(책임)저자 : 신우철대한설비공학회
7농림식품 기계ㆍ시스템120093-3태양열을 활용한 에너지 생산저장관리 및 실증모델 구축현장설치 태양열 집열설비 열성능 확인을 위한 국제표준 기반의 실증적 분석2023-04-01주저자 : 이경호, 공저자 : 한광우, 공저자 : 이왕제, 공저자 : 안영섭, 공저자 : 주홍진, 교신(책임)저자 : 이경호대한설비공학회
8농림식품 기계ㆍ시스템121025-3[제한경쟁] 우수과제 후속연구 지원(분말(분체)병합살균장치 사업화Application of intense pulsed light plasma ultraviolet combined system on granular and powdered foods for microbial inactivation2023-01-06주저자 : Hee-Jeong Hwang, 주저자 : Ji-Yoon Lee, 공저자 : Sea C. Min, 교신(책임)저자 : Myong-Soo ChungLWT - Food Science and Technology
9농림식품 기계ㆍ시스템121025-3[제한경쟁] 우수과제 후속연구 지원(분말(분체)병합살균장치 사업화Effect of environmental water activity on microbial inactivation by intense pulsed light (IPL)2023-07-26주저자 : HeeJeong Hwang, 공저자 : JeeWoo Kim, 공저자 : HyeJae Choi, 공저자 : JunBong Choi, 교신(책임)저자 : MyongSoo ChungFood Science and Biotechnology
분류과제번호과제명논문명학술지게재일저자학술지명
941축산421023-42세대 돼지 스마트 축산 모델 개발 및 실증Effects of probiotic bacteria-fermented herbal combinations on growth performance, immunity, and meat quality of grower-finisher pigs2023-05-12주저자 : S.T. Ahmed, 공저자 : H.S. Mun, 교신(책임)저자 : C.J. YangLivestock Science
942축산421050-3국가단위 유전능력 평가 모형 적용 및 체중체척 예측 모델 개발A Korean Cattle Weight Prediction Approach Using 3D Segmentation-Based Feature Extraction and Regression Machine Learning from Incomplete 3D Shapes Acquired from Real Farm Environments2023-12-12주저자 : 당창권, 공저자 : 아람마부, 공저자 : 이승수, 공저자 : 이상민, 공저자 : 박미나, 공저자 : 성하승, 공저자 : 백민기, 공저자 : Van Thuan Pham , 교신(책임)저자 : 이재구, 교신(책임)저자 : 한승규Agriculture
943축산715003-7제주흑우 대량증식 및 산업화Assessment of genomic breeding values and their accuracies for carcass traits in Jeju Black cattle using whole-genome SNP chip panels2023-04-26주저자 : Asif Iqbal, 주저자 : Md Azizul Haque, 공저자 : Yun Mi Lee, 공저자 : Se Pill Park, 공저자 : Seung Eun Lee, 공저자 : Haechang Bae, 교신(책임)저자 : Jong Joo KimJournal of Animal Breeding and Genetics
944축산715003-7제주흑우 대량증식 및 산업화Treatments of Porcine Nuclear Recipient Oocytes and Somatic Cell Nuclear Transfer-Generated Embryos with Various Reactive Oxygen Species Scavengers Lead to Improvements of Their Quality Parameters and2023-04-25주저자 : Dong-Hun Han, 주저자 : Seung-Eun Lee, 주저자 : Seung-Hwan Oh, 공저자 : Han-Bi Lee, 공저자 : Jae-Wook Yoon, 공저자 : So-Hee Kim, 공저자 : Eun-Seo Lim, 공저자 : Eun-Young Kim, 교신(책임)저자 : Se-Pill ParkCellular reprogramming
945축산819031-2생물적 발효과정을 이용한 곤충 키틴발효 사료첨가제 생산기술개발 및 산업화Immune-enhancing Effects of Chitosan-fermented Feed Additive on Broiler Chickens and Subsequent Protection Conferred against Experimental Infection with Salmonella Gallinaru2023-07-22주저자 : Bo Mi Park, 공저자 : Young Kyu Park, 공저자 : Young Cheol Yang, 공저자 : Bock Gie Jung, 교신(책임)저자 : Bong Joo LeeThe Journal of Poultry Science
946축산821033-3전염성 가축 질병 예방 효능 향상 즉효성/지속성 내동 소독제 제품 개발Multichamber PLGA Microparticles with Enhanced Monodispersity and Encapsulation Efficiency Fabricated by a Batch-Microfluidic Hybrid Approach2023-10-20주저자 : 강봉수, 주저자 : 최성학, 공저자 : 최건준, 공저자 : 김나현, 공저자 : 강민수, 공저자 : 박해나, 공저자 : 곽문규, 공저자 : 장판식, 교신(책임)저자 : 정호섭, 교신(책임)저자 : 정훈이Advanced nanobiomed
947축산821033-3전염성 가축 질병 예방 효능 향상 즉효성/지속성 내동 소독제 제품 개발Precise control of liposome size using characteristic time depends on solvent type and membrane properties2023-03-23주저자 : 강봉수, 주저자 : 최성학, 공저자 : 곽문규, 공저자 : 김기성, 공저자 : 양은혜, 공저자 : 장판식, 교신(책임)저자 : 정호섭nature
948축산821033-3전염성 가축 질병 예방 효능 향상 즉효성/지속성 내동 소독제 제품 개발Precision Transition of Bicelle to Liposome as Carriers of a Hydrophilic Biologically Active Compound by Microfuidic Mixing Integrated Micro-structure2023-10-31주저자 : 최성학, 주저자 : 강봉수, 공저자 : 곽문규, 공저자 : 김기성, 공저자 : Hiroshi Umakoshi, 공저자 : Keishi Suga, 공저자 : Shogo Taguchi, 교신(책임)저자 : 정호섭International Journal of Precision Engineering and Manufacturing
949축산821069-3축우를 위한 보리밀새싹사료 이용 고도화 기술 개발Application Effects of Bacterial Inoculants Producing Chitinase on Corn Silage2023-09-30주저자 : 주영호, 주저자 : 정승민, 공저자 : 김진우, 공저자 : 강병삼, 공저자 : 이예영, 공저자 : 김지윤, 공저자 : 서명지, 공저자 : 백창현, 공저자 : 이성신, 교신(책임)저자 : 김삼철한국초지조사료학회지
950<NA>814003-3노각나무 추출물을 이용한 관절건강 및 면역과민반응에 대한 피부상태 개선(아토피) 기능성식품개발을 통한 사업화Effect of Stewartia koreana Boiling Extract (SKBE) on Osteoarthritis and Purification of Spinasterol From SKBE2023-03-13주저자 : Sang Min Lee, 공저자 : Dae Seung Na, 공저자 : Jin beom Kim, 공저자 : Chun soo Na, 공저자 : Hye Jin Moon, 공저자 : Hong Joon Yoon, 교신(책임)저자 : Tae Hoon Lee, 교신(책임)저자 : Hakwon KimJournal of the Korean Chemical Society