Overview

Dataset statistics

Number of variables9
Number of observations262
Missing cells4
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory73.5 B

Variable types

Numeric1
Categorical4
Text3
DateTime1

Dataset

Description2018년 종료 농림식품 농산 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001317

Alerts

분류 has constant value ""Constant
과제번호 is highly overall correlated with 과제명 and 1 other fieldsHigh correlation
연구책임자 is highly overall correlated with 과제번호 and 1 other fieldsHigh correlation
과제명 is highly overall correlated with 과제번호 and 1 other fieldsHigh correlation
저자 has 4 (1.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:31:42.736101
Analysis finished2023-12-11 03:31:43.774795
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.5
Minimum1
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T12:31:43.855312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.05
Q166.25
median131.5
Q3196.75
95-th percentile248.95
Maximum262
Range261
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation75.777085
Coefficient of variation (CV)0.5762516
Kurtosis-1.2
Mean131.5
Median Absolute Deviation (MAD)65.5
Skewness0
Sum34453
Variance5742.1667
MonotonicityStrictly increasing
2023-12-11T12:31:44.028260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
166 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
Other values (252) 252
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
농산
262 

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 262
100.0%

Length

2023-12-11T12:31:44.175323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:31:44.284846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농산 262
100.0%

과제번호
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
315004-5
25 
315025-3
19 
315036-3
 
14
316032-5
 
14
316015-4
 
13
Other values (44)
177 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique13 ?
Unique (%)5.0%

Sample

1st row315036-3
2nd row315001-5
3rd row315001-5
4th row315004-5
5th row315004-5

Common Values

ValueCountFrequency (%)
315004-5 25
 
9.5%
315025-3 19
 
7.3%
315036-3 14
 
5.3%
316032-5 14
 
5.3%
316015-4 13
 
5.0%
315002-5 12
 
4.6%
316011-5 11
 
4.2%
315003-5 11
 
4.2%
116079-3 9
 
3.4%
316033-4 8
 
3.1%
Other values (39) 126
48.1%

Length

2023-12-11T12:31:44.382372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
315004-5 25
 
9.5%
315025-3 19
 
7.3%
315036-3 14
 
5.3%
316032-5 14
 
5.3%
316015-4 13
 
5.0%
315002-5 12
 
4.6%
316011-5 11
 
4.2%
315003-5 11
 
4.2%
116079-3 9
 
3.4%
315043-3 8
 
3.1%
Other values (39) 126
48.1%

과제명
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구
25 
방사선을 이용한 유용 돌연변이 육종 및 산업화
19 
u-IT기반 광역통합 RPC 모델 개발
 
14
한국형 친환경 표준 재배기술 및 유기가공 식품 첨가물 생산기술 개발
 
14
금지급 검역해충 과실파리류 침입 대비 국가 위기 대응 시스템 개발
 
13
Other values (44)
177 

Length

Max length52
Median length44
Mean length31.935115
Min length17

Unique

Unique13 ?
Unique (%)5.0%

Sample

1st rowu-IT기반 광역통합 RPC 모델 개발
2nd rowICT 융복합 기반 전남딸기 6차 산업화를 위한 실증 모델 개발
3rd rowICT 융복합 기반 전남딸기 6차 산업화를 위한 실증 모델 개발
4th row시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구
5th row시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구

Common Values

ValueCountFrequency (%)
시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구 25
 
9.5%
방사선을 이용한 유용 돌연변이 육종 및 산업화 19
 
7.3%
u-IT기반 광역통합 RPC 모델 개발 14
 
5.3%
한국형 친환경 표준 재배기술 및 유기가공 식품 첨가물 생산기술 개발 14
 
5.3%
금지급 검역해충 과실파리류 침입 대비 국가 위기 대응 시스템 개발 13
 
5.0%
경북 딸기와 거베라의 첨단재배기술, 창조형 농업시스템 개발 12
 
4.6%
종자수출 확대를 위한 가공처리 기술 국산화 11
 
4.2%
시설원예 특화를 위한 사과무병종묘 산업화기반 구축 11
 
4.2%
유전자원 탐색과 돌연변이 유기에 의한 기능성 소재 생산 들깨 자원 개발 9
 
3.4%
무 시들음병 예찰시스템 구축 및 시들음병 저항성 고품질 무 산업화 기술개발 8
 
3.1%
Other values (39) 126
48.1%

Length

2023-12-11T12:31:44.514528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발 129
 
6.0%
119
 
5.5%
위한 81
 
3.8%
연구 50
 
2.3%
기술 44
 
2.0%
산업화 37
 
1.7%
고품질 35
 
1.6%
구축 35
 
1.6%
돌연변이 28
 
1.3%
수출 26
 
1.2%
Other values (272) 1566
72.8%

연구책임자
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
강남준
25 
강시용
19 
김의웅
 
14
정우진
 
14
김용균
 
13
Other values (43)
177 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique12 ?
Unique (%)4.6%

Sample

1st row김의웅
2nd row신창선
3rd row신창선
4th row강남준
5th row강남준

Common Values

ValueCountFrequency (%)
강남준 25
 
9.5%
강시용 19
 
7.3%
김의웅 14
 
5.3%
정우진 14
 
5.3%
김용균 13
 
5.0%
전하준 12
 
4.6%
김대일 11
 
4.2%
이승인 11
 
4.2%
김태윤 9
 
3.4%
김혜란 8
 
3.1%
Other values (38) 126
48.1%

Length

2023-12-11T12:31:44.659457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남준 25
 
9.5%
강시용 19
 
7.3%
김의웅 14
 
5.3%
정우진 14
 
5.3%
김용균 13
 
5.0%
전하준 12
 
4.6%
김대일 11
 
4.2%
이승인 11
 
4.2%
김태윤 9
 
3.4%
서정아 8
 
3.1%
Other values (38) 126
48.1%
Distinct255
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T12:31:44.926570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length219
Median length124.5
Mean length88.694656
Min length10

Characters and Unicode

Total characters23238
Distinct characters406
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

Unique248 ?
Unique (%)94.7%

Sample

1st rowOPTIMAL HARVEST TIMING FOR MAXIMIZING GRAIN YIELD AND WHOLE KERNEL RATIO OF SHORT-GRAIN RICE
2nd rowGreenhouse Management Framework based on Localization Using RGPSi and AoA
3rd rowA Study on Integrated Support Platform for Sixth Industrialization of Agriculture
4th row수출딸기 선별장에서 잿빛곰팡이병원균 밀도조사와 저장온도에 따른 잿빛곰팡이 발생연구
5th rowEffect of chlorine dioxide on freshness of Maehyang strawberries during export
ValueCountFrequency (%)
of 199
 
5.9%
and 115
 
3.4%
in 115
 
3.4%
the 51
 
1.5%
a 34
 
1.0%
for 34
 
1.0%
on 32
 
0.9%
30
 
0.9%
by 28
 
0.8%
to 23
 
0.7%
Other values (1574) 2738
80.6%
2023-12-11T12:31:45.406503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3138
 
13.5%
e 1669
 
7.2%
i 1560
 
6.7%
a 1423
 
6.1%
n 1406
 
6.1%
o 1383
 
6.0%
t 1318
 
5.7%
r 1111
 
4.8%
s 953
 
4.1%
l 666
 
2.9%
Other values (396) 8611
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16212
69.8%
Space Separator 3138
 
13.5%
Other Letter 1803
 
7.8%
Uppercase Letter 1651
 
7.1%
Other Punctuation 142
 
0.6%
Dash Punctuation 98
 
0.4%
Decimal Number 69
 
0.3%
Open Punctuation 53
 
0.2%
Close Punctuation 52
 
0.2%
Initial Punctuation 9
 
< 0.1%
Other values (2) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
55
 
3.1%
42
 
2.3%
40
 
2.2%
36
 
2.0%
36
 
2.0%
35
 
1.9%
35
 
1.9%
33
 
1.8%
30
 
1.7%
30
 
1.7%
Other values (316) 1431
79.4%
Lowercase Letter
ValueCountFrequency (%)
e 1669
10.3%
i 1560
 
9.6%
a 1423
 
8.8%
n 1406
 
8.7%
o 1383
 
8.5%
t 1318
 
8.1%
r 1111
 
6.9%
s 953
 
5.9%
l 666
 
4.1%
c 648
 
4.0%
Other values (19) 4075
25.1%
Uppercase Letter
ValueCountFrequency (%)
S 162
 
9.8%
C 150
 
9.1%
P 140
 
8.5%
A 125
 
7.6%
R 105
 
6.4%
I 93
 
5.6%
E 90
 
5.5%
G 86
 
5.2%
T 79
 
4.8%
D 75
 
4.5%
Other values (17) 546
33.1%
Decimal Number
ValueCountFrequency (%)
1 22
31.9%
2 17
24.6%
6 7
 
10.1%
9 6
 
8.7%
4 5
 
7.2%
5 4
 
5.8%
3 3
 
4.3%
7 2
 
2.9%
8 2
 
2.9%
0 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 53
37.3%
. 46
32.4%
' 25
17.6%
: 10
 
7.0%
/ 4
 
2.8%
· 2
 
1.4%
" 2
 
1.4%
Space Separator
ValueCountFrequency (%)
3138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Initial Punctuation
ValueCountFrequency (%)
9
100.0%
Final Punctuation
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
× 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17856
76.8%
Common 3572
 
15.4%
Hangul 1803
 
7.8%
Greek 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
55
 
3.1%
42
 
2.3%
40
 
2.2%
36
 
2.0%
36
 
2.0%
35
 
1.9%
35
 
1.9%
33
 
1.8%
30
 
1.7%
30
 
1.7%
Other values (316) 1431
79.4%
Latin
ValueCountFrequency (%)
e 1669
 
9.3%
i 1560
 
8.7%
a 1423
 
8.0%
n 1406
 
7.9%
o 1383
 
7.7%
t 1318
 
7.4%
r 1111
 
6.2%
s 953
 
5.3%
l 666
 
3.7%
c 648
 
3.6%
Other values (42) 5719
32.0%
Common
ValueCountFrequency (%)
3138
87.8%
- 98
 
2.7%
( 53
 
1.5%
, 53
 
1.5%
) 52
 
1.5%
. 46
 
1.3%
' 25
 
0.7%
1 22
 
0.6%
2 17
 
0.5%
: 10
 
0.3%
Other values (14) 58
 
1.6%
Greek
ValueCountFrequency (%)
γ 3
42.9%
β 2
28.6%
α 1
 
14.3%
Δ 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21406
92.1%
Hangul 1803
 
7.8%
Punctuation 17
 
0.1%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3138
14.7%
e 1669
 
7.8%
i 1560
 
7.3%
a 1423
 
6.6%
n 1406
 
6.6%
o 1383
 
6.5%
t 1318
 
6.2%
r 1111
 
5.2%
s 953
 
4.5%
l 666
 
3.1%
Other values (62) 6779
31.7%
Hangul
ValueCountFrequency (%)
55
 
3.1%
42
 
2.3%
40
 
2.2%
36
 
2.0%
36
 
2.0%
35
 
1.9%
35
 
1.9%
33
 
1.8%
30
 
1.7%
30
 
1.7%
Other values (316) 1431
79.4%
Punctuation
ValueCountFrequency (%)
9
52.9%
8
47.1%
None
ValueCountFrequency (%)
× 3
25.0%
γ 3
25.0%
· 2
16.7%
β 2
16.7%
α 1
 
8.3%
Δ 1
 
8.3%
Distinct160
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2015-09-01 00:00:00
Maximum2018-12-31 00:00:00
2023-12-11T12:31:45.570640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:31:45.729375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct246
Distinct (%)95.3%
Missing4
Missing (%)1.5%
Memory size2.2 KiB
2023-12-11T12:31:46.070650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length288
Median length149
Mean length77.189922
Min length9

Characters and Unicode

Total characters19915
Distinct characters268
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)90.7%

Sample

1st row주저자 : 이효재, 공저자 : 김훈, 교신(책임)저자 : 김의웅
2nd row주저자 : 김홍근, 공저자 : 박동국, 공저자 : 신창선, 공저자 : 조경룡, 공저자 : 조용윤, 교신(책임)저자 : 박장우
3rd row주저자 : 김홍근, 공저자 : 박장우, 공저자 : 사라스와디시바마니, 공저자 : 이명배, 공저자 : 정영식, 공저자 : 조용윤, 교신(책임)저자 : 신창선
4th row주저자 : 김다란, 공저자 : 전창욱, 교신(책임)저자 : 곽연식
5th row주저자 : 김혜민, 교신(책임)저자 : 황승재
ValueCountFrequency (%)
1298
28.4%
공저자 776
17.0%
주저자 275
 
6.0%
교신(책임)저자 236
 
5.2%
kim 83
 
1.8%
lee 53
 
1.2%
park 23
 
0.5%
kang 15
 
0.3%
hyun 15
 
0.3%
김훈 14
 
0.3%
Other values (988) 1781
39.0%
2023-12-11T12:31:46.539762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4320
21.7%
1299
 
6.5%
: 1287
 
6.5%
1287
 
6.5%
, 1104
 
5.5%
776
 
3.9%
n 670
 
3.4%
o 488
 
2.5%
a 473
 
2.4%
e 388
 
1.9%
Other values (258) 7823
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6960
34.9%
Space Separator 4320
21.7%
Lowercase Letter 4122
20.7%
Other Punctuation 2442
 
12.3%
Uppercase Letter 1438
 
7.2%
Close Punctuation 236
 
1.2%
Open Punctuation 236
 
1.2%
Dash Punctuation 156
 
0.8%
Decimal Number 4
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1299
18.7%
1287
18.5%
776
 
11.1%
298
 
4.3%
255
 
3.7%
248
 
3.6%
237
 
3.4%
236
 
3.4%
199
 
2.9%
99
 
1.4%
Other values (195) 2026
29.1%
Lowercase Letter
ValueCountFrequency (%)
n 670
16.3%
o 488
11.8%
a 473
11.5%
e 388
9.4%
u 329
8.0%
i 321
7.8%
g 313
7.6%
h 226
 
5.5%
m 180
 
4.4%
y 163
 
4.0%
Other values (16) 571
13.9%
Uppercase Letter
ValueCountFrequency (%)
K 182
12.7%
S 157
10.9%
H 154
10.7%
J 146
10.2%
Y 91
 
6.3%
C 85
 
5.9%
L 82
 
5.7%
M 80
 
5.6%
A 55
 
3.8%
N 47
 
3.3%
Other values (15) 359
25.0%
Other Punctuation
ValueCountFrequency (%)
: 1287
52.7%
, 1104
45.2%
. 47
 
1.9%
; 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
4320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7395
37.1%
Hangul 6960
34.9%
Latin 5560
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1299
18.7%
1287
18.5%
776
 
11.1%
298
 
4.3%
255
 
3.7%
248
 
3.6%
237
 
3.4%
236
 
3.4%
199
 
2.9%
99
 
1.4%
Other values (195) 2026
29.1%
Latin
ValueCountFrequency (%)
n 670
 
12.1%
o 488
 
8.8%
a 473
 
8.5%
e 388
 
7.0%
u 329
 
5.9%
i 321
 
5.8%
g 313
 
5.6%
h 226
 
4.1%
K 182
 
3.3%
m 180
 
3.2%
Other values (41) 1990
35.8%
Common
ValueCountFrequency (%)
4320
58.4%
: 1287
 
17.4%
, 1104
 
14.9%
) 236
 
3.2%
( 236
 
3.2%
- 156
 
2.1%
. 47
 
0.6%
; 4
 
0.1%
1 2
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12955
65.1%
Hangul 6960
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4320
33.3%
: 1287
 
9.9%
, 1104
 
8.5%
n 670
 
5.2%
o 488
 
3.8%
a 473
 
3.7%
e 388
 
3.0%
u 329
 
2.5%
i 321
 
2.5%
g 313
 
2.4%
Other values (53) 3262
25.2%
Hangul
ValueCountFrequency (%)
1299
18.7%
1287
18.5%
776
 
11.1%
298
 
4.3%
255
 
3.7%
248
 
3.6%
237
 
3.4%
236
 
3.4%
199
 
2.9%
99
 
1.4%
Other values (195) 2026
29.1%
Distinct166
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T12:31:47.047210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length50
Mean length28.541985
Min length2

Characters and Unicode

Total characters7478
Distinct characters150
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

Unique113 ?
Unique (%)43.1%

Sample

1st rowTransactions of the ASABE
2nd rowInternational Journal of Smart Home
3rd rowAdvanced Science Letters
4th row농약과학회지
5th rowKorean Journal of Horticultural Science & Technology
ValueCountFrequency (%)
of 90
 
8.9%
journal 87
 
8.6%
and 67
 
6.6%
plant 52
 
5.1%
50
 
4.9%
science 42
 
4.1%
biotechnology 29
 
2.9%
the 19
 
1.9%
korean 18
 
1.8%
horticulture 17
 
1.7%
Other values (211) 544
53.6%
2023-12-11T12:31:47.468594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
757
 
10.1%
o 659
 
8.8%
n 574
 
7.7%
e 497
 
6.6%
r 406
 
5.4%
a 405
 
5.4%
i 396
 
5.3%
l 384
 
5.1%
t 377
 
5.0%
c 320
 
4.3%
Other values (140) 2703
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5313
71.0%
Space Separator 757
 
10.1%
Other Letter 754
 
10.1%
Uppercase Letter 556
 
7.4%
Other Punctuation 44
 
0.6%
Math Symbol 43
 
0.6%
Dash Punctuation 7
 
0.1%
Decimal Number 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
8.6%
65
 
8.6%
51
 
6.8%
38
 
5.0%
38
 
5.0%
26
 
3.4%
24
 
3.2%
23
 
3.1%
20
 
2.7%
19
 
2.5%
Other values (85) 385
51.1%
Lowercase Letter
ValueCountFrequency (%)
o 659
12.4%
n 574
10.8%
e 497
9.4%
r 406
 
7.6%
a 405
 
7.6%
i 396
 
7.5%
l 384
 
7.2%
t 377
 
7.1%
c 320
 
6.0%
u 211
 
4.0%
Other values (13) 1084
20.4%
Uppercase Letter
ValueCountFrequency (%)
J 71
12.8%
P 69
12.4%
B 54
9.7%
S 47
 
8.5%
A 39
 
7.0%
E 38
 
6.8%
F 28
 
5.0%
H 27
 
4.9%
T 26
 
4.7%
I 25
 
4.5%
Other values (12) 132
23.7%
Other Punctuation
ValueCountFrequency (%)
, 28
63.6%
. 6
 
13.6%
: 5
 
11.4%
& 5
 
11.4%
Space Separator
ValueCountFrequency (%)
757
100.0%
Math Symbol
ValueCountFrequency (%)
= 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5869
78.5%
Common 855
 
11.4%
Hangul 716
 
9.6%
Han 38
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
9.1%
65
 
9.1%
51
 
7.1%
38
 
5.3%
38
 
5.3%
26
 
3.6%
24
 
3.4%
23
 
3.2%
20
 
2.8%
19
 
2.7%
Other values (69) 347
48.5%
Latin
ValueCountFrequency (%)
o 659
11.2%
n 574
 
9.8%
e 497
 
8.5%
r 406
 
6.9%
a 405
 
6.9%
i 396
 
6.7%
l 384
 
6.5%
t 377
 
6.4%
c 320
 
5.5%
u 211
 
3.6%
Other values (35) 1640
27.9%
Han
ValueCountFrequency (%)
5
13.2%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
3
7.9%
3
7.9%
2
 
5.3%
2
 
5.3%
1
 
2.6%
Other values (6) 6
15.8%
Common
ValueCountFrequency (%)
757
88.5%
= 43
 
5.0%
, 28
 
3.3%
- 7
 
0.8%
. 6
 
0.7%
: 5
 
0.6%
& 5
 
0.6%
3 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6724
89.9%
Hangul 711
 
9.5%
CJK 38
 
0.5%
Compat Jamo 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
757
 
11.3%
o 659
 
9.8%
n 574
 
8.5%
e 497
 
7.4%
r 406
 
6.0%
a 405
 
6.0%
i 396
 
5.9%
l 384
 
5.7%
t 377
 
5.6%
c 320
 
4.8%
Other values (45) 1949
29.0%
Hangul
ValueCountFrequency (%)
65
 
9.1%
65
 
9.1%
51
 
7.2%
38
 
5.3%
38
 
5.3%
26
 
3.7%
24
 
3.4%
23
 
3.2%
20
 
2.8%
19
 
2.7%
Other values (68) 342
48.1%
CJK
ValueCountFrequency (%)
5
13.2%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
3
7.9%
3
7.9%
2
 
5.3%
2
 
5.3%
1
 
2.6%
Other values (6) 6
15.8%
Compat Jamo
ValueCountFrequency (%)
5
100.0%

Interactions

2023-12-11T12:31:43.428283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:31:47.561208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.0000.7810.7810.777
과제번호0.7811.0001.0001.000
과제명0.7811.0001.0001.000
연구책임자0.7771.0001.0001.000
2023-12-11T12:31:47.643995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제번호연구책임자과제명
과제번호1.0000.9981.000
연구책임자0.9981.0000.998
과제명1.0000.9981.000
2023-12-11T12:31:47.726085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.0000.3650.3650.363
과제번호0.3651.0001.0000.998
과제명0.3651.0001.0000.998
연구책임자0.3630.9980.9981.000

Missing values

2023-12-11T12:31:43.556805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:31:43.722961image/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

번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
01농산315036-3u-IT기반 광역통합 RPC 모델 개발김의웅OPTIMAL HARVEST TIMING FOR MAXIMIZING GRAIN YIELD AND WHOLE KERNEL RATIO OF SHORT-GRAIN RICE2016-03-31주저자 : 이효재, 공저자 : 김훈, 교신(책임)저자 : 김의웅Transactions of the ASABE
12농산315001-5ICT 융복합 기반 전남딸기 6차 산업화를 위한 실증 모델 개발신창선Greenhouse Management Framework based on Localization Using RGPSi and AoA2015-12-31주저자 : 김홍근, 공저자 : 박동국, 공저자 : 신창선, 공저자 : 조경룡, 공저자 : 조용윤, 교신(책임)저자 : 박장우International Journal of Smart Home
23농산315001-5ICT 융복합 기반 전남딸기 6차 산업화를 위한 실증 모델 개발신창선A Study on Integrated Support Platform for Sixth Industrialization of Agriculture2016-09-01주저자 : 김홍근, 공저자 : 박장우, 공저자 : 사라스와디시바마니, 공저자 : 이명배, 공저자 : 정영식, 공저자 : 조용윤, 교신(책임)저자 : 신창선Advanced Science Letters
34농산315004-5시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구강남준수출딸기 선별장에서 잿빛곰팡이병원균 밀도조사와 저장온도에 따른 잿빛곰팡이 발생연구2015-09-01주저자 : 김다란, 공저자 : 전창욱, 교신(책임)저자 : 곽연식농약과학회지
45농산315004-5시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구강남준Effect of chlorine dioxide on freshness of Maehyang strawberries during export2016-08-01주저자 : 김혜민, 교신(책임)저자 : 황승재Korean Journal of Horticultural Science & Technology
56농산315004-5시설딸기 고품질 안전생산을 위한 재배관리 기술 체계화 연구강남준Effects of foliar fertilization containing titanium dioxide on growth, yield and quality of strawberries during cultivation2015-10-01주저자 : 최효길, 공저자 : 권준국, 공저자 : 문병용, 교신(책임)저자 : 강남준Horticulture, environment, and biotechnology
67농산315036-3u-IT기반 광역통합 RPC 모델 개발김의웅RPC 시설 및 기술 현황2016-03-30주저자 : 김의웅, 교신(책임)저자 : 김훈Food Science And Industry
78농산315025-3방사선을 이용한 유용 돌연변이 육종 및 산업화강시용Comparison of phytochemicals and antioxidant activity in blackberry (Rubus fruticosus L.) fruits of mutant lines at the different harvest time.2016-05-31주저자 : Jaihyunk Ryu, 공저자 : Bo mi Nam, 공저자 : Bo-Keun Ha, 공저자 : Chang hyun Jin, 공저자 : Ran Jo, 공저자 : Sang Wook Jeong, 공저자 : Seoung Cheol Oh, 공저자 : Seung Bin Im, 공저자 : Seung Young Lee, 공저자 : Soon-Jae Kwon, 공저자 : Yeong Deuk Jo, 교신(책임)저자 : Si-Yong KangPlant Breeding and Biotechnology
89농산315036-3u-IT기반 광역통합 RPC 모델 개발김의웅Effects of clamping force on the water transport and performance of a PEM (proton electrolyte membrane) fuel cell with relative humidity and current density2015-12-15주저자 : 차도원, 공저자 : 안재환Energy
910농산315043-3수출용 신선 농식품 고품질화를 위한 냄새지문 활용 부패감지기 개발서정아Comparison of the Profile and Composition of Volatiles in Coniferous Needles According to Extraction Methods2016-03-17주저자 : Yonjin Jun, 공저자 : Sang Mi Lee, 교신(책임)저자 : Young-Suk KimMolecules
번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
252253농산315015-3태양열 이용 계간축열시스템을 적용한 유리온실자립화 모델개발 및 현장 실증서태범생육 및 품질 정보 관리를 위한 센싱 및 빅데이터 관리기술2017-12-01주저자 : 서범석식품저장과 가공산업 = Food preservation and processing industry
253254농산315025-3방사선을 이용한 유용 돌연변이 육종 및 산업화강시용Genotyping-by-sequencing based single nucleotide polymorphisms enabled Kompetitive Allele Specific PCR marker development in mutant Rubus genotypes2018-09-05주저자 : 류재혁, 공저자 : 강시용, 공저자 : 김상훈, 공저자 : 김운지, 공저자 : 김이엽, 공저자 : 이강섭, 공저자 : 이정희, 공저자 : 임주현, 공저자 : 조한직, 교신(책임)저자 : 하보근Electronic Journal of Biotechnology
254255농산315025-3방사선을 이용한 유용 돌연변이 육종 및 산업화강시용molecular characterization of proton beam-induced mutations in soybean using genotyping-by-sequencing2018-10-01주저자 : 김운지, 주저자 : 류재혁, 공저자 : 강시용, 공저자 : 김상훈, 공저자 : 이정희, 공저자 : 임주현, 공저자 : 조성환, 교신(책임)저자 : 하보근Molecular Genetics and Genomics
255256농산317019-4우리밀 생산관리 효율화를 위한 ICT기반 이력관리시스템 및 식품 소재 생산시스템 개발김상숙Effects of Germination on Protein, γ-Aminobutyric Acid, Phenolic Acids, and Antioxidant Capacity in Wheat2018-09-03주저자 : 김미정, 공저자 : 곽한섭, 교신(책임)저자 : 김상숙Molecules a journal of synthetic chemistry and natural product chemistry
256257농산117047-2파프리카 하계작형에서 Best Farmer의 영농기법 분석 및 모델화 연구김일섭파프리카의 동계정식 작형에서 육묘기간이 생육 및 생산성에 미치는 영향2018-09-01주저자 : 장동철, 공저자 : 최기영, 공저자 : 허재윤, 교신(책임)저자 : 김일섭Horticultural science and technology = 원예과학기술지
257258농산317019-4우리밀 생산관리 효율화를 위한 ICT기반 이력관리시스템 및 식품 소재 생산시스템 개발김상숙습식 및 건식 쌀가루의 유지 종류 및 첨가 비율에 따른 쌀빵 품질 특성2018-08-31주저자 : 정혜영, 교신(책임)저자 : 김상숙한국식품영양학회지 = The Korean journal of food and nutrition
258259농산815004-3향기나는 한국 춘란 신품종개발과 내수 및 수출 산업화김동용일경일화 민무늬 향 춘란 '아리향'2018-06-01주저자 : 박소연, 공저자 : 김동용, 공저자 : 박영희, 공저자 : 이주현, 교신(책임)저자 : 권순욱Korean journal of breeding science = 한국육종학회지
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