Overview

Dataset statistics

Number of variables9
Number of observations215
Missing cells9
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.7 KiB
Average record size in memory74.6 B

Variable types

Numeric2
Categorical3
Text3
DateTime1

Dataset

Description2018년 종료 농림식품 기계시스템 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001312

Alerts

분류 has constant value ""Constant
과제명 is highly overall correlated with 과제번호 and 1 other fieldsHigh correlation
연구책임자 is highly overall correlated with 과제번호 and 1 other fieldsHigh correlation
과제번호 is highly overall correlated with 과제명 and 1 other fieldsHigh correlation
저자 has 9 (4.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:39:55.309601
Analysis finished2023-12-11 03:39:57.878515
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct215
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108
Minimum1
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T12:39:57.964771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.7
Q154.5
median108
Q3161.5
95-th percentile204.3
Maximum215
Range214
Interquartile range (IQR)107

Descriptive statistics

Standard deviation62.209324
Coefficient of variation (CV)0.57601226
Kurtosis-1.2
Mean108
Median Absolute Deviation (MAD)54
Skewness0
Sum23220
Variance3870
MonotonicityStrictly increasing
2023-12-11T12:39:58.406756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
149 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
Other values (205) 205
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
농림식품 기계시스템
215 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농림식품 기계시스템
2nd row농림식품 기계시스템
3rd row농림식품 기계시스템
4th row농림식품 기계시스템
5th row농림식품 기계시스템

Common Values

ValueCountFrequency (%)
농림식품 기계시스템 215
100.0%

Length

2023-12-11T12:39:58.555903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:39:58.666123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 215
50.0%
기계시스템 215
50.0%

과제번호
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5140454
Minimum1140503
Maximum8170403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T12:39:58.769064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1140503
5-th percentile1157658
Q13150923
median7140027
Q37160017
95-th percentile7170017
Maximum8170403
Range7029900
Interquartile range (IQR)4009094

Descriptive statistics

Standard deviation2395633.9
Coefficient of variation (CV)0.46603548
Kurtosis-1.5083215
Mean5140454
Median Absolute Deviation (MAD)39894
Skewness-0.41056862
Sum1.1051976 × 109
Variance5.7390619 × 1012
MonotonicityNot monotonic
2023-12-11T12:39:58.922574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7160017 53
24.7%
7140027 41
19.1%
7170017 13
 
6.0%
3150923 8
 
3.7%
3150313 7
 
3.3%
3170303 6
 
2.8%
3160213 5
 
2.3%
7100133 5
 
2.3%
1150393 5
 
2.3%
3160193 5
 
2.3%
Other values (33) 67
31.2%
ValueCountFrequency (%)
1140503 1
 
0.5%
1150393 5
2.3%
1151003 2
 
0.9%
1151013 2
 
0.9%
1151043 1
 
0.5%
1160493 2
 
0.9%
1160503 2
 
0.9%
1160513 2
 
0.9%
1160523 4
1.9%
1160563 3
1.4%
ValueCountFrequency (%)
8170403 1
 
0.5%
8160223 2
 
0.9%
8160082 2
 
0.9%
8150083 2
 
0.9%
7170017 13
 
6.0%
7160017 53
24.7%
7140027 41
19.1%
7100133 5
 
2.3%
3180263 1
 
0.5%
3170724 2
 
0.9%

과제명
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
밭농업 편이기기 개발
53 
농업생산 무인자동화 연구센터
41 
스마트팜 연구센터
13 
온실 설계기준 확립 및 동적효과 고려 하중산정 기법 개발
 
8
동물복지 실현을 위한 ICT 기반 에너지 순환형 축사환경 관리시스템 개발
 
7
Other values (38)
93 

Length

Max length58
Median length56
Mean length23.190698
Min length9

Unique

Unique11 ?
Unique (%)5.1%

Sample

1st row농업생산 무인자동화 연구센터
2nd row동물복지 실현을 위한 ICT 기반 에너지 순환형 축사환경 관리시스템 개발
3rd row주요 밭작물의 생육 모니터링을 위한 무인기 기반 원격 탐사 기술개발
4th row농업생산 무인자동화 연구센터
5th row농업생산 무인자동화 연구센터

Common Values

ValueCountFrequency (%)
밭농업 편이기기 개발 53
24.7%
농업생산 무인자동화 연구센터 41
19.1%
스마트팜 연구센터 13
 
6.0%
온실 설계기준 확립 및 동적효과 고려 하중산정 기법 개발 8
 
3.7%
동물복지 실현을 위한 ICT 기반 에너지 순환형 축사환경 관리시스템 개발 7
 
3.3%
가공식품활성화를 위한 분말(분체)살균 기술 및 장치 개발 6
 
2.8%
주요 밭작물의 생육 모니터링을 위한 무인기 기반 원격 탐사 기술개발 5
 
2.3%
마늘 양파 범용 수확기의 차대, 주행 및 동력전달장치 개발 5
 
2.3%
농산물 안전성 관리를 위한 미생물학적 위해요인 및 오염현황 분석 5
 
2.3%
자주식 무 수확기 개발 및 산업화 5
 
2.3%
Other values (33) 67
31.2%

Length

2023-12-11T12:39:59.073595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발 141
 
11.2%
및 75
 
6.0%
연구센터 54
 
4.3%
밭농업 53
 
4.2%
편이기기 53
 
4.2%
위한 45
 
3.6%
농업생산 41
 
3.3%
무인자동화 41
 
3.3%
스마트팜 16
 
1.3%
기반 16
 
1.3%
Other values (231) 720
57.4%

연구책임자
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
김태한
53 
이경환
41 
김현태
13 
김홍진
 
8
함영화
 
7
Other values (36)
93 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique8 ?
Unique (%)3.7%

Sample

1st row이경환
2nd row함영화
3rd row김석구
4th row이경환
5th row이경환

Common Values

ValueCountFrequency (%)
김태한 53
24.7%
이경환 41
19.1%
김현태 13
 
6.0%
김홍진 8
 
3.7%
함영화 7
 
3.3%
이정우 6
 
2.8%
김석구 5
 
2.3%
주재황 5
 
2.3%
박기환 5
 
2.3%
이리중 5
 
2.3%
Other values (31) 67
31.2%

Length

2023-12-11T12:39:59.182796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김태한 53
24.7%
이경환 41
19.1%
김현태 13
 
6.0%
김홍진 8
 
3.7%
함영화 7
 
3.3%
이정우 6
 
2.8%
김석구 5
 
2.3%
주재황 5
 
2.3%
박기환 5
 
2.3%
이리중 5
 
2.3%
Other values (31) 67
31.2%

논문명
Text

Distinct209
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T12:39:59.437000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length219
Median length118
Mean length85.139535
Min length11

Characters and Unicode

Total characters18305
Distinct characters369
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)94.4%

Sample

1st rowAN UPDATED REVIEW OF CUCURBITACINS AND THEIR BIOLOGICAL AND PHARMACOLOGICAL ACTIVITIES
2nd row공기정화기 적용에 따른 돈사 작업장에서 발생되는 악취물질 저감 현장 평가
3rd rowUse of Unmanned Aerial Vehicle for Multi-temporal Monitoring of Soybean Vegetation Fraction
4th rowAnthocyanin and Carotenoid Contents in Different Cultivars of Chrysanthemum (Dendranthema grandiflorum Ramat.) Flower
5th rowAnalysis of the PTO load of a 75kW agricultural tractor during rotary tillage and baler operation in Korean upland fields
ValueCountFrequency (%)
of 164
 
6.0%
and 88
 
3.2%
a 54
 
2.0%
in 51
 
1.9%
for 51
 
1.9%
the 43
 
1.6%
on 36
 
1.3%
using 27
 
1.0%
및 22
 
0.8%
development 19
 
0.7%
Other values (1320) 2176
79.7%
2023-12-11T12:39:59.892556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2519
 
13.8%
e 1387
 
7.6%
i 1139
 
6.2%
o 1084
 
5.9%
a 1076
 
5.9%
n 1037
 
5.7%
t 1023
 
5.6%
r 904
 
4.9%
s 754
 
4.1%
l 627
 
3.4%
Other values (359) 6755
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12712
69.4%
Space Separator 2519
 
13.8%
Other Letter 1602
 
8.8%
Uppercase Letter 1191
 
6.5%
Dash Punctuation 95
 
0.5%
Decimal Number 68
 
0.4%
Other Punctuation 62
 
0.3%
Close Punctuation 28
 
0.2%
Open Punctuation 28
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 46
 
2.9%
기 45
 
2.8%
한 35
 
2.2%
성 31
 
1.9%
용 30
 
1.9%
분 30
 
1.9%
에 29
 
1.8%
수 24
 
1.5%
이 22
 
1.4%
장 22
 
1.4%
Other values (286) 1288
80.4%
Lowercase Letter
ValueCountFrequency (%)
e 1387
10.9%
i 1139
 
9.0%
o 1084
 
8.5%
a 1076
 
8.5%
n 1037
 
8.2%
t 1023
 
8.0%
r 904
 
7.1%
s 754
 
5.9%
l 627
 
4.9%
c 554
 
4.4%
Other values (17) 3127
24.6%
Uppercase Letter
ValueCountFrequency (%)
A 120
 
10.1%
C 120
 
10.1%
S 100
 
8.4%
P 88
 
7.4%
E 78
 
6.5%
I 72
 
6.0%
T 70
 
5.9%
L 68
 
5.7%
D 62
 
5.2%
R 53
 
4.5%
Other values (14) 360
30.2%
Decimal Number
ValueCountFrequency (%)
1 18
26.5%
2 11
16.2%
0 10
14.7%
4 9
13.2%
3 6
 
8.8%
5 5
 
7.4%
7 5
 
7.4%
8 3
 
4.4%
9 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 26
41.9%
: 13
21.0%
. 12
19.4%
/ 5
 
8.1%
? 3
 
4.8%
· 2
 
3.2%
; 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 27
96.4%
] 1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 27
96.4%
[ 1
 
3.6%
Space Separator
ValueCountFrequency (%)
2519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13902
75.9%
Common 2800
 
15.3%
Hangul 1600
 
8.7%
Han 2
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 46
 
2.9%
기 45
 
2.8%
한 35
 
2.2%
성 31
 
1.9%
용 30
 
1.9%
분 30
 
1.9%
에 29
 
1.8%
수 24
 
1.5%
이 22
 
1.4%
장 22
 
1.4%
Other values (284) 1286
80.4%
Latin
ValueCountFrequency (%)
e 1387
 
10.0%
i 1139
 
8.2%
o 1084
 
7.8%
a 1076
 
7.7%
n 1037
 
7.5%
t 1023
 
7.4%
r 904
 
6.5%
s 754
 
5.4%
l 627
 
4.5%
c 554
 
4.0%
Other values (40) 4317
31.1%
Common
ValueCountFrequency (%)
2519
90.0%
- 95
 
3.4%
) 27
 
1.0%
( 27
 
1.0%
, 26
 
0.9%
1 18
 
0.6%
: 13
 
0.5%
. 12
 
0.4%
2 11
 
0.4%
0 10
 
0.4%
Other values (12) 42
 
1.5%
Han
ValueCountFrequency (%)
鷄 1
50.0%
舍 1
50.0%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16700
91.2%
Hangul 1600
 
8.7%
None 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2519
15.1%
e 1387
 
8.3%
i 1139
 
6.8%
o 1084
 
6.5%
a 1076
 
6.4%
n 1037
 
6.2%
t 1023
 
6.1%
r 904
 
5.4%
s 754
 
4.5%
l 627
 
3.8%
Other values (61) 5150
30.8%
Hangul
ValueCountFrequency (%)
의 46
 
2.9%
기 45
 
2.8%
한 35
 
2.2%
성 31
 
1.9%
용 30
 
1.9%
분 30
 
1.9%
에 29
 
1.8%
수 24
 
1.5%
이 22
 
1.4%
장 22
 
1.4%
Other values (284) 1286
80.4%
None
ValueCountFrequency (%)
· 2
66.7%
β 1
33.3%
CJK
ValueCountFrequency (%)
鷄 1
50.0%
舍 1
50.0%

학술지 게재일자
Date

Distinct143
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2014-10-01 00:00:00
Maximum2018-12-07 00:00:00
2023-12-11T12:40:00.031260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:40:00.191295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

MISSING 

Distinct199
Distinct (%)96.6%
Missing9
Missing (%)4.2%
Memory size1.8 KiB
2023-12-11T12:40:00.598433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length172
Mean length68.626214
Min length7

Characters and Unicode

Total characters14137
Distinct characters232
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

Unique193 ?
Unique (%)93.7%

Sample

1st row주저자 : 정선옥, 공저자 : 김용주, 교신(책임)저자 : 박상언
2nd row주저자 : 오성업, 공저자 : 김기연
3rd row주저자 : 윤희섭, 교신(책임)저자 : 김학진
4th row주저자 : 박창하, 공저자 : Soo-Yun Park, 공저자 : Jae Kwang Kim, 공저자 : Mariadhas Valan Arasu, 공저자 : Soo Cheon Cha, 공저자 : Sun Ok Chung, 공저자 : Yong Joo Kim, 교신(책임)저자 : 박상언
5th row주저자 : 이대현, 공저자 : 김용주, 공저자 : 신범수, 공저자 : 이경환, 공저자 : 최창현, 교신(책임)저자 : 정선옥
ValueCountFrequency (%)
842
26.7%
공저자 434
 
13.7%
주저자 230
 
7.3%
교신(책임)저자 174
 
5.5%
kim 97
 
3.1%
lee 54
 
1.7%
park 29
 
0.9%
choi 18
 
0.6%
yun 13
 
0.4%
sung 12
 
0.4%
Other values (641) 1255
39.7%
2023-12-11T12:40:01.196867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2954
20.9%
자 838
 
5.9%
: 838
 
5.9%
저 838
 
5.9%
, 691
 
4.9%
n 530
 
3.7%
a 458
 
3.2%
공 434
 
3.1%
o 434
 
3.1%
e 341
 
2.4%
Other values (222) 5781
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4271
30.2%
Lowercase Letter 3579
25.3%
Space Separator 2954
20.9%
Other Punctuation 1568
 
11.1%
Uppercase Letter 1289
 
9.1%
Open Punctuation 174
 
1.2%
Close Punctuation 174
 
1.2%
Dash Punctuation 125
 
0.9%
Decimal Number 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 838
19.6%
저 838
19.6%
공 434
10.2%
주 259
 
6.1%
신 183
 
4.3%
임 176
 
4.1%
교 174
 
4.1%
책 174
 
4.1%
김 94
 
2.2%
이 63
 
1.5%
Other values (160) 1038
24.3%
Lowercase Letter
ValueCountFrequency (%)
n 530
14.8%
a 458
12.8%
o 434
12.1%
e 341
9.5%
u 292
8.2%
i 264
7.4%
g 235
6.6%
h 209
 
5.8%
m 194
 
5.4%
k 96
 
2.7%
Other values (15) 526
14.7%
Uppercase Letter
ValueCountFrequency (%)
K 166
12.9%
S 160
12.4%
J 136
10.6%
H 122
 
9.5%
Y 84
 
6.5%
L 79
 
6.1%
C 73
 
5.7%
M 62
 
4.8%
A 49
 
3.8%
P 44
 
3.4%
Other values (14) 314
24.4%
Other Punctuation
ValueCountFrequency (%)
: 838
53.4%
, 691
44.1%
. 23
 
1.5%
? 11
 
0.7%
; 4
 
0.3%
' 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
2954
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4998
35.4%
Latin 4868
34.4%
Hangul 4271
30.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 838
19.6%
저 838
19.6%
공 434
10.2%
주 259
 
6.1%
신 183
 
4.3%
임 176
 
4.1%
교 174
 
4.1%
책 174
 
4.1%
김 94
 
2.2%
이 63
 
1.5%
Other values (160) 1038
24.3%
Latin
ValueCountFrequency (%)
n 530
 
10.9%
a 458
 
9.4%
o 434
 
8.9%
e 341
 
7.0%
u 292
 
6.0%
i 264
 
5.4%
g 235
 
4.8%
h 209
 
4.3%
m 194
 
4.0%
K 166
 
3.4%
Other values (39) 1745
35.8%
Common
ValueCountFrequency (%)
2954
59.1%
: 838
 
16.8%
, 691
 
13.8%
( 174
 
3.5%
) 174
 
3.5%
- 125
 
2.5%
. 23
 
0.5%
? 11
 
0.2%
; 4
 
0.1%
' 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9866
69.8%
Hangul 4271
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2954
29.9%
: 838
 
8.5%
, 691
 
7.0%
n 530
 
5.4%
a 458
 
4.6%
o 434
 
4.4%
e 341
 
3.5%
u 292
 
3.0%
i 264
 
2.7%
g 235
 
2.4%
Other values (52) 2829
28.7%
Hangul
ValueCountFrequency (%)
자 838
19.6%
저 838
19.6%
공 434
10.2%
주 259
 
6.1%
신 183
 
4.3%
임 176
 
4.1%
교 174
 
4.1%
책 174
 
4.1%
김 94
 
2.2%
이 63
 
1.5%
Other values (160) 1038
24.3%

학술지명
Text

Distinct143
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T12:40:01.467047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length147
Median length65
Mean length36.404651
Min length5

Characters and Unicode

Total characters7827
Distinct characters178
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

Unique106 ?
Unique (%)49.3%

Sample

1st rowEXCLI Journal
2nd row실내환경 및 냄새 학회지
3rd rowJournal of Biosystems Engineering
4th rowMolecules
5th rowJournal of terramechanics
ValueCountFrequency (%)
of 135
 
12.7%
journal 108
 
10.1%
62
 
5.8%
and 43
 
4.0%
engineering 33
 
3.1%
science 30
 
2.8%
the 28
 
2.6%
korean 27
 
2.5%
agricultural 21
 
2.0%
society 20
 
1.9%
Other values (217) 558
52.4%
2023-12-11T12:40:01.989790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
874
 
11.2%
n 570
 
7.3%
e 553
 
7.1%
o 540
 
6.9%
i 435
 
5.6%
r 416
 
5.3%
a 416
 
5.3%
l 323
 
4.1%
c 309
 
3.9%
t 298
 
3.8%
Other values (168) 3093
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5222
66.7%
Uppercase Letter 921
 
11.8%
Space Separator 874
 
11.2%
Other Letter 692
 
8.8%
Other Punctuation 62
 
0.8%
Math Symbol 35
 
0.4%
Decimal Number 12
 
0.2%
Dash Punctuation 7
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 53
 
7.7%
업 39
 
5.6%
농 36
 
5.2%
회 32
 
4.6%
한 27
 
3.9%
국 25
 
3.6%
지 24
 
3.5%
연 24
 
3.5%
구 23
 
3.3%
과 21
 
3.0%
Other values (107) 388
56.1%
Uppercase Letter
ValueCountFrequency (%)
J 100
 
10.9%
A 98
 
10.6%
E 97
 
10.5%
I 73
 
7.9%
S 66
 
7.2%
N 61
 
6.6%
R 51
 
5.5%
T 42
 
4.6%
C 40
 
4.3%
F 36
 
3.9%
Other values (15) 257
27.9%
Lowercase Letter
ValueCountFrequency (%)
n 570
10.9%
e 553
10.6%
o 540
10.3%
i 435
 
8.3%
r 416
 
8.0%
a 416
 
8.0%
l 323
 
6.2%
c 309
 
5.9%
t 298
 
5.7%
u 252
 
4.8%
Other values (14) 1110
21.3%
Other Punctuation
ValueCountFrequency (%)
: 28
45.2%
. 14
22.6%
, 14
22.6%
& 4
 
6.5%
; 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 6
50.0%
2 6
50.0%
Space Separator
ValueCountFrequency (%)
874
100.0%
Math Symbol
ValueCountFrequency (%)
= 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6143
78.5%
Common 992
 
12.7%
Hangul 599
 
7.7%
Han 93
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 53
 
8.8%
업 39
 
6.5%
농 36
 
6.0%
회 32
 
5.3%
한 27
 
4.5%
국 25
 
4.2%
지 24
 
4.0%
연 24
 
4.0%
구 23
 
3.8%
과 21
 
3.5%
Other values (78) 295
49.2%
Latin
ValueCountFrequency (%)
n 570
 
9.3%
e 553
 
9.0%
o 540
 
8.8%
i 435
 
7.1%
r 416
 
6.8%
a 416
 
6.8%
l 323
 
5.3%
c 309
 
5.0%
t 298
 
4.9%
u 252
 
4.1%
Other values (39) 2031
33.1%
Han
ValueCountFrequency (%)
學 13
 
14.0%
農 6
 
6.5%
國 6
 
6.5%
韓 5
 
5.4%
誌 5
 
5.4%
會 5
 
5.4%
要 4
 
4.3%
九 4
 
4.3%
州 4
 
4.3%
大 4
 
4.3%
Other values (19) 37
39.8%
Common
ValueCountFrequency (%)
874
88.1%
= 35
 
3.5%
: 28
 
2.8%
. 14
 
1.4%
, 14
 
1.4%
- 7
 
0.7%
1 6
 
0.6%
2 6
 
0.6%
& 4
 
0.4%
; 2
 
0.2%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7135
91.2%
Hangul 597
 
7.6%
CJK 93
 
1.2%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
874
 
12.2%
n 570
 
8.0%
e 553
 
7.8%
o 540
 
7.6%
i 435
 
6.1%
r 416
 
5.8%
a 416
 
5.8%
l 323
 
4.5%
c 309
 
4.3%
t 298
 
4.2%
Other values (51) 2401
33.7%
Hangul
ValueCountFrequency (%)
학 53
 
8.9%
업 39
 
6.5%
농 36
 
6.0%
회 32
 
5.4%
한 27
 
4.5%
국 25
 
4.2%
지 24
 
4.0%
연 24
 
4.0%
구 23
 
3.9%
과 21
 
3.5%
Other values (77) 293
49.1%
CJK
ValueCountFrequency (%)
學 13
 
14.0%
農 6
 
6.5%
國 6
 
6.5%
韓 5
 
5.4%
誌 5
 
5.4%
會 5
 
5.4%
要 4
 
4.3%
九 4
 
4.3%
州 4
 
4.3%
大 4
 
4.3%
Other values (19) 37
39.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Interactions

2023-12-11T12:39:57.338624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:57.054116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:57.472169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:39:57.199359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:40:02.101066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.0000.5080.8140.817
과제번호0.5081.0001.0001.000
과제명0.8141.0001.0001.000
연구책임자0.8171.0001.0001.000
2023-12-11T12:40:02.220473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제명연구책임자
과제명1.0000.994
연구책임자0.9941.000
2023-12-11T12:40:02.308128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호과제명연구책임자
번호1.000-0.0320.4100.415
과제번호-0.0321.0000.9030.897
과제명0.4100.9031.0000.994
연구책임자0.4150.8970.9941.000

Missing values

2023-12-11T12:39:57.651075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:39:57.821585image/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
01농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환AN UPDATED REVIEW OF CUCURBITACINS AND THEIR BIOLOGICAL AND PHARMACOLOGICAL ACTIVITIES2015-05-05주저자 : 정선옥, 공저자 : 김용주, 교신(책임)저자 : 박상언EXCLI Journal
12농림식품 기계시스템3150313동물복지 실현을 위한 ICT 기반 에너지 순환형 축사환경 관리시스템 개발함영화공기정화기 적용에 따른 돈사 작업장에서 발생되는 악취물질 저감 현장 평가2016-03-31주저자 : 오성업, 공저자 : 김기연실내환경 및 냄새 학회지
23농림식품 기계시스템3150113주요 밭작물의 생육 모니터링을 위한 무인기 기반 원격 탐사 기술개발김석구Use of Unmanned Aerial Vehicle for Multi-temporal Monitoring of Soybean Vegetation Fraction2016-06-15주저자 : 윤희섭, 교신(책임)저자 : 김학진Journal of Biosystems Engineering
34농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환Anthocyanin and Carotenoid Contents in Different Cultivars of Chrysanthemum (Dendranthema grandiflorum Ramat.) Flower2015-06-15주저자 : 박창하, 공저자 : Soo-Yun Park, 공저자 : Jae Kwang Kim, 공저자 : Mariadhas Valan Arasu, 공저자 : Soo Cheon Cha, 공저자 : Sun Ok Chung, 공저자 : Yong Joo Kim, 교신(책임)저자 : 박상언Molecules
45농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환Analysis of the PTO load of a 75kW agricultural tractor during rotary tillage and baler operation in Korean upland fields2015-06-24주저자 : 이대현, 공저자 : 김용주, 공저자 : 신범수, 공저자 : 이경환, 공저자 : 최창현, 교신(책임)저자 : 정선옥Journal of terramechanics
56농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환Abscisic acid receptor PYRABACTIN RESISTANCE-LIKE 8, PYL8, is involved in glucose response and dark-induced leaf senescence in Arabidopsis2015-05-15주저자 : Ha-Nul Lee, 공저자 : Kyeong-Hwan Lee, 교신(책임)저자 : Cheol Soo KimBiochemical and Biophysical Research Communications
67농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환The CONSTANS-like 4 transcription factor, AtCOL4, positively regulates abiotic stress tolerance through an abscisic acid-dependent manner in Arabidopsis2015-03-02주저자 : Ji-Hee Min, 공저자 : Jung-Sung Chung, 공저자 : Kyeong-Hwan Lee, 교신(책임)저자 : Cheol Soo KimJournal of integrative plant biology
78농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환Multiscale engineered hierarchical structures with precisely controlled sizes for bio-inspired cell culture2015-11-15주저자 : Won-Gyu Bae, 공저자 : Hoon Eui Jeong, 교신(책임)저자 : Jangho KimMaterials letters
89농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환Pre-processing of load data of agricultural tractors during major field operations2015-03-02주저자 : Myong-Jin Ryu, 공저자 : Kyeong-Hwan Lee, 공저자 : Md. Shaha Nur Kabir, 공저자 : Sun-Ok Chung, 공저자 : Yong-Joo Kim, 공저자 : Youn-Kug Choo, 교신(책임)저자 : Jong-Kyou Ha농업과학연구 = CNU Journal of agricultural science
910농림식품 기계시스템7140027농업생산 무인자동화 연구센터이경환Path planning for autonomous lawn mower tractor2015-03-01주저자 : 이경환농업과학연구 = CNU Journal of agricultural science
번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
205206농림식품 기계시스템1160523농산물의 유통기간 증가를 위한 항균 기능을 갖는 투명 나노섬유 포장필름 개발 및 고속전기방사 시스템 개발유정욱Nature derived scaffolds for tissue engineering applications: Design and fabrication of a composite scaffold incorporating chitosan-g-D,L-lactic acid and cellulose nanocrystals from Lactuca sativa L. cv green leaf2017-10-12주저자 : Ko, Sung Won, 주저자 : Soriano, Juan Paolo E, 공저자 : Lee, Ji Yeon, 공저자 : Unnithan, Afeesh Rajan, 교신(책임)저자 : Kim, Cheol Sang, 교신(책임)저자 : Park, Chan HeeInternational journal of biological macromolecules
206207농림식품 기계시스템7170017스마트팜 연구센터김현태Detection of melamine in milk powder using MCT-based short-wave infrared hyperspectral imaging system2018-06-02주저자 : Hoonsoo Lee, 공저자 : Moon s. Kim, 공저자 : Santosh Lohumi, 교신(책임)저자 : Byoung-Kwan ChoFOOD ADDITIVES & CONTAMINANTS: PART A
207208농림식품 기계시스템7170017스마트팜 연구센터김현태Raman Imaging for the Detection of Adulterants in Paprika Powder: A Comparison of Data Analysis Methods2018-03-23주저자 : Santosh Lohumi, 공저자 : Hoonsoo Lee, 공저자 : Jianwei Qin, 공저자 : Moon Sung Kim, 교신(책임)저자 : Byoung-Kwan ChoApplied science
208209농림식품 기계시스템7170017스마트팜 연구센터김현태Development of a real-time drying control system for a pneumatic conveying dryer for sawdust in pellet production2018-07-19주저자 : Seung Hee Euh, 공저자 : Chung Gun Lee, 공저자 : Jae Heun Oh, 공저자 : Kwang Cheol Oh, 공저자 : Sang Yeol Lee, 공저자 : Yun Sung Choi, 공저자 : Yun Sung Nam, 교신(책임)저자 : Dae Hyun KimEnergy
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