Overview

Dataset statistics

Number of variables10
Number of observations291
Missing cells182
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.4 KiB
Average record size in memory82.5 B

Variable types

Numeric2
Categorical5
Text3

Dataset

Description2017년 종료 농림식품 기계시스템 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001314

Alerts

분류 has constant value ""Constant
사업명 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
과제명 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
과제번호 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
연구책임자 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
번호 is highly overall correlated with 과제번호 and 3 other fieldsHigh correlation
저자 has 182 (62.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:32:39.751324
Analysis finished2023-12-11 03:32:42.379081
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct291
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146
Minimum1
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T12:32:42.468634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.5
Q173.5
median146
Q3218.5
95-th percentile276.5
Maximum291
Range290
Interquartile range (IQR)145

Descriptive statistics

Standard deviation84.148678
Coefficient of variation (CV)0.57636081
Kurtosis-1.2
Mean146
Median Absolute Deviation (MAD)73
Skewness0
Sum42486
Variance7081
MonotonicityStrictly increasing
2023-12-11T12:32:42.641337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
184 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
Other values (281) 281
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
농림식품 기계ㆍ시스템
291 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농림식품 기계ㆍ시스템 291
100.0%

Length

2023-12-11T12:32:42.787366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:32:42.886907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 291
50.0%
기계ㆍ시스템 291
50.0%

과제번호
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
710003-7
189 
314031-3
 
13
114083-3
 
11
115062-2
 
9
114052-3
 
9
Other values (21)
60 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique9 ?
Unique (%)3.1%

Sample

1st row114044-3
2nd row114044-3
3rd row114044-3
4th row114046-3
5th row114046-3

Common Values

ValueCountFrequency (%)
710003-7 189
64.9%
314031-3 13
 
4.5%
114083-3 11
 
3.8%
115062-2 9
 
3.1%
114052-3 9
 
3.1%
114051-3 7
 
2.4%
114046-3 6
 
2.1%
114053-3 5
 
1.7%
114148-3 5
 
1.7%
115103-2 5
 
1.7%
Other values (16) 32
 
11.0%

Length

2023-12-11T12:32:42.994329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
710003-7 189
64.9%
314031-3 13
 
4.5%
114083-3 11
 
3.8%
115062-2 9
 
3.1%
114052-3 9
 
3.1%
114051-3 7
 
2.4%
114046-3 6
 
2.1%
114053-3 5
 
1.7%
114148-3 5
 
1.7%
115103-2 5
 
1.7%
Other values (16) 32
 
11.0%

사업명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
농림축산식품연구센터지원
189 
첨단생산기술개발
81 
수출전략기술개발
 
11
고부가가치식품기술개발
 
7
기술사업화지원
 
3

Length

Max length12
Median length12
Mean length10.659794
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농림축산식품연구센터지원 189
64.9%
첨단생산기술개발 81
27.8%
수출전략기술개발 11
 
3.8%
고부가가치식품기술개발 7
 
2.4%
기술사업화지원 3
 
1.0%

Length

2023-12-11T12:32:43.150206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:32:43.286668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림축산식품연구센터지원 189
64.9%
첨단생산기술개발 81
27.8%
수출전략기술개발 11
 
3.8%
고부가가치식품기술개발 7
 
2.4%
기술사업화지원 3
 
1.0%

과제명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
지능형 농식품포장을 위한 지시계, RFID-지시계, 포장시스템 기술 개발
189 
IBT 기술을 활용한 과수 주요병해 조기 진단 최적화 기술 개발
 
13
중앙아시아 내재해형 자동 제설기능을 갖춘 IoT 융합 수출 집중형 무기둥 광폭 비닐온실 개발
 
11
농작물 생산 효율 극대화를 위한 군집 원격제어기술 기반 스마트 농업용 멀티 드론 시스템 개발
 
9
거세마 후대생산 시스템 구축을 위한 정원줄기세포 이식기술 개발
 
9
Other values (21)
60 

Length

Max length51
Median length40
Mean length37.838488
Min length13

Unique

Unique9 ?
Unique (%)3.1%

Sample

1st row사료비 절감을 위한 TMR 플랜트의 부산물사료 발효저장 통합관리 시스템 구축
2nd row사료비 절감을 위한 TMR 플랜트의 부산물사료 발효저장 통합관리 시스템 구축
3rd row사료비 절감을 위한 TMR 플랜트의 부산물사료 발효저장 통합관리 시스템 구축
4th row영상처리를 이용한 파프리카 인식 자동 수확작업기 개발
5th row영상처리를 이용한 파프리카 인식 자동 수확작업기 개발

Common Values

ValueCountFrequency (%)
지능형 농식품포장을 위한 지시계, RFID-지시계, 포장시스템 기술 개발 189
64.9%
IBT 기술을 활용한 과수 주요병해 조기 진단 최적화 기술 개발 13
 
4.5%
중앙아시아 내재해형 자동 제설기능을 갖춘 IoT 융합 수출 집중형 무기둥 광폭 비닐온실 개발 11
 
3.8%
농작물 생산 효율 극대화를 위한 군집 원격제어기술 기반 스마트 농업용 멀티 드론 시스템 개발 9
 
3.1%
거세마 후대생산 시스템 구축을 위한 정원줄기세포 이식기술 개발 9
 
3.1%
친환경 시설하우스용 전기구동 이식기 개발 7
 
2.4%
영상처리를 이용한 파프리카 인식 자동 수확작업기 개발 6
 
2.1%
센서 융합기술을 이용한 콩 재배지 비닐포장 자동천공시스템 개발 5
 
1.7%
밀폐형 생산시스템을 이용한 고품질 호접란 분화 급속생산기술 개발 5
 
1.7%
동결정액 상용화를 위한 심부이식기 개발 5
 
1.7%
Other values (16) 32
 
11.0%

Length

2023-12-11T12:32:43.459617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발 279
11.7%
위한 222
 
9.3%
기술 202
 
8.5%
지능형 189
 
7.9%
농식품포장을 189
 
7.9%
지시계 189
 
7.9%
rfid-지시계 189
 
7.9%
포장시스템 189
 
7.9%
시스템 21
 
0.9%
자동 18
 
0.8%
Other values (146) 693
29.1%

연구책임자
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
이승주
189 
정희영
 
13
송형운
 
11
손형일
 
9
윤민중
 
9
Other values (21)
60 

Length

Max length3
Median length3
Mean length2.9828179
Min length2

Unique

Unique9 ?
Unique (%)3.1%

Sample

1st row하유신
2nd row하유신
3rd row하유신
4th row이대원
5th row이대원

Common Values

ValueCountFrequency (%)
이승주 189
64.9%
정희영 13
 
4.5%
송형운 11
 
3.8%
손형일 9
 
3.1%
윤민중 9
 
3.1%
김용주 7
 
2.4%
이대원 6
 
2.1%
이규승 5
 
1.7%
오욱 5
 
1.7%
현상환 5
 
1.7%
Other values (16) 32
 
11.0%

Length

2023-12-11T12:32:43.601661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이승주 189
64.9%
정희영 13
 
4.5%
송형운 11
 
3.8%
손형일 9
 
3.1%
윤민중 9
 
3.1%
김용주 7
 
2.4%
이대원 6
 
2.1%
이규승 5
 
1.7%
오욱 5
 
1.7%
현상환 5
 
1.7%
Other values (16) 32
 
11.0%

논문명
Text

Distinct289
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T12:32:43.965793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length124
Mean length92.539519
Min length18

Characters and Unicode

Total characters26929
Distinct characters320
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

Unique287 ?
Unique (%)98.6%

Sample

1st rowOptimization of parboiling conditions for enhanced Japonica rice milling
2nd rowDrying characteristics and milling quality of parboiled Japonica rice under various drying conditions
3rd rowDevelopment of a Water-Spraying Type Automatic Glochids Removal System for Cactus (Opuntia humifusa) Stem
4th row파프리카 수확 자동화를 위한 파프리카 인식 및 대응점 획득 알고리즘 연구
5th row파프리카 수확 자동화를 위한 파프리카 인식 및 대응점 획득 알고리즘 연구
ValueCountFrequency (%)
of 250
 
6.9%
and 119
 
3.3%
for 79
 
2.2%
a 60
 
1.7%
the 56
 
1.5%
in 54
 
1.5%
on 39
 
1.1%
films 35
 
1.0%
using 34
 
0.9%
with 32
 
0.9%
Other values (1451) 2860
79.0%
2023-12-11T12:32:44.524660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3330
 
12.4%
e 2149
 
8.0%
i 1940
 
7.2%
a 1854
 
6.9%
o 1843
 
6.8%
t 1684
 
6.3%
n 1639
 
6.1%
r 1482
 
5.5%
s 1160
 
4.3%
c 905
 
3.4%
Other values (310) 8943
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20521
76.2%
Space Separator 3331
 
12.4%
Uppercase Letter 1538
 
5.7%
Other Letter 1139
 
4.2%
Dash Punctuation 166
 
0.6%
Other Punctuation 106
 
0.4%
Decimal Number 45
 
0.2%
Open Punctuation 37
 
0.1%
Close Punctuation 37
 
0.1%
Final Punctuation 4
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 34
 
3.0%
시 31
 
2.7%
한 29
 
2.5%
스 28
 
2.5%
리 24
 
2.1%
기 22
 
1.9%
에 22
 
1.9%
이 18
 
1.6%
위 16
 
1.4%
고 15
 
1.3%
Other values (227) 900
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 2149
10.5%
i 1940
 
9.5%
a 1854
 
9.0%
o 1843
 
9.0%
t 1684
 
8.2%
n 1639
 
8.0%
r 1482
 
7.2%
s 1160
 
5.7%
c 905
 
4.4%
l 872
 
4.2%
Other values (18) 4993
24.3%
Uppercase Letter
ValueCountFrequency (%)
A 142
 
9.2%
S 142
 
9.2%
P 139
 
9.0%
C 122
 
7.9%
T 119
 
7.7%
I 108
 
7.0%
D 99
 
6.4%
M 90
 
5.9%
F 86
 
5.6%
E 67
 
4.4%
Other values (16) 424
27.6%
Decimal Number
ValueCountFrequency (%)
2 15
33.3%
3 7
15.6%
1 5
 
11.1%
8 4
 
8.9%
5 3
 
6.7%
0 3
 
6.7%
7 2
 
4.4%
4 2
 
4.4%
6 2
 
4.4%
9 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 32
30.2%
/ 32
30.2%
: 20
18.9%
. 19
17.9%
' 1
 
0.9%
; 1
 
0.9%
% 1
 
0.9%
Space Separator
ValueCountFrequency (%)
3330
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 35
94.6%
[ 2
 
5.4%
Close Punctuation
ValueCountFrequency (%)
) 35
94.6%
] 2
 
5.4%
Final Punctuation
ValueCountFrequency (%)
’ 3
75.0%
” 1
 
25.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22055
81.9%
Common 3731
 
13.9%
Hangul 1139
 
4.2%
Greek 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 34
 
3.0%
시 31
 
2.7%
한 29
 
2.5%
스 28
 
2.5%
리 24
 
2.1%
기 22
 
1.9%
에 22
 
1.9%
이 18
 
1.6%
위 16
 
1.4%
고 15
 
1.3%
Other values (227) 900
79.0%
Latin
ValueCountFrequency (%)
e 2149
 
9.7%
i 1940
 
8.8%
a 1854
 
8.4%
o 1843
 
8.4%
t 1684
 
7.6%
n 1639
 
7.4%
r 1482
 
6.7%
s 1160
 
5.3%
c 905
 
4.1%
l 872
 
4.0%
Other values (42) 6527
29.6%
Common
ValueCountFrequency (%)
3330
89.3%
- 166
 
4.4%
( 35
 
0.9%
) 35
 
0.9%
, 32
 
0.9%
/ 32
 
0.9%
: 20
 
0.5%
. 19
 
0.5%
2 15
 
0.4%
3 7
 
0.2%
Other values (19) 40
 
1.1%
Greek
ValueCountFrequency (%)
κ 3
75.0%
γ 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25777
95.7%
Hangul 1139
 
4.2%
Punctuation 8
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3330
12.9%
e 2149
 
8.3%
i 1940
 
7.5%
a 1854
 
7.2%
o 1843
 
7.1%
t 1684
 
6.5%
n 1639
 
6.4%
r 1482
 
5.7%
s 1160
 
4.5%
c 905
 
3.5%
Other values (66) 7791
30.2%
Hangul
ValueCountFrequency (%)
의 34
 
3.0%
시 31
 
2.7%
한 29
 
2.5%
스 28
 
2.5%
리 24
 
2.1%
기 22
 
1.9%
에 22
 
1.9%
이 18
 
1.6%
위 16
 
1.4%
고 15
 
1.3%
Other values (227) 900
79.0%
None
ValueCountFrequency (%)
κ 3
60.0%
　 1
 
20.0%
γ 1
 
20.0%
Punctuation
ValueCountFrequency (%)
’ 3
37.5%
‘ 3
37.5%
“ 1
 
12.5%
” 1
 
12.5%

학술지 출판년도
Real number (ℝ)

Distinct8
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.8797
Minimum2010
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T12:32:44.664621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2012
Q12014
median2015
Q32016
95-th percentile2017
Maximum2017
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7780175
Coefficient of variation (CV)0.00088244348
Kurtosis-0.72505455
Mean2014.8797
Median Absolute Deviation (MAD)1
Skewness-0.54710704
Sum586330
Variance3.1613461
MonotonicityNot monotonic
2023-12-11T12:32:44.780504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2016 76
26.1%
2017 62
21.3%
2014 44
15.1%
2013 39
13.4%
2015 37
12.7%
2012 20
 
6.9%
2011 12
 
4.1%
2010 1
 
0.3%
ValueCountFrequency (%)
2010 1
 
0.3%
2011 12
 
4.1%
2012 20
 
6.9%
2013 39
13.4%
2014 44
15.1%
2015 37
12.7%
2016 76
26.1%
2017 62
21.3%
ValueCountFrequency (%)
2017 62
21.3%
2016 76
26.1%
2015 37
12.7%
2014 44
15.1%
2013 39
13.4%
2012 20
 
6.9%
2011 12
 
4.1%
2010 1
 
0.3%

저자
Text

MISSING 

Distinct92
Distinct (%)84.4%
Missing182
Missing (%)62.5%
Memory size2.4 KiB
2023-12-11T12:32:45.143242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length279
Median length111
Mean length63.165138
Min length3

Characters and Unicode

Total characters6885
Distinct characters103
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)76.1%

Sample

1st row이봉기; 이민영; 이대원,이봉기; 이민영; 이대원
2nd row송의한;이민영;이봉기;이대원,송의한;이민영;이봉기;이대원
3rd row주종문;주성용;,주종문;주성용;
4th row최창현, 정선옥, 김용주,최창현, 정선옥, 김용주
5th row최창현, 정선옥, 김용주, 신범수,최창현, 정선옥, 김용주, 신범수
ValueCountFrequency (%)
lee 67
 
6.1%
kim 58
 
5.3%
seung 42
 
3.8%
won 40
 
3.6%
ju 34
 
3.1%
jung 28
 
2.5%
park 18
 
1.6%
sun 18
 
1.6%
hyun 16
 
1.5%
dong 14
 
1.3%
Other values (297) 766
69.6%
2023-12-11T12:32:45.689250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
994
14.4%
n 736
 
10.7%
o 506
 
7.3%
e 498
 
7.2%
g 372
 
5.4%
; 370
 
5.4%
u 366
 
5.3%
a 248
 
3.6%
i 228
 
3.3%
h 198
 
2.9%
Other values (93) 2369
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3614
52.5%
Uppercase Letter 1292
 
18.8%
Space Separator 994
 
14.4%
Other Punctuation 617
 
9.0%
Other Letter 268
 
3.9%
Dash Punctuation 100
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 38
 
14.2%
선 16
 
6.0%
김 12
 
4.5%
주 12
 
4.5%
용 10
 
3.7%
동 10
 
3.7%
원 10
 
3.7%
덕 8
 
3.0%
안 8
 
3.0%
종 8
 
3.0%
Other values (43) 136
50.7%
Uppercase Letter
ValueCountFrequency (%)
S 198
15.3%
J 182
14.1%
K 168
13.0%
L 132
10.2%
H 116
9.0%
W 110
8.5%
Y 80
6.2%
D 52
 
4.0%
C 42
 
3.3%
P 38
 
2.9%
Other values (13) 174
13.5%
Lowercase Letter
ValueCountFrequency (%)
n 736
20.4%
o 506
14.0%
e 498
13.8%
g 372
10.3%
u 366
10.1%
a 248
 
6.9%
i 228
 
6.3%
h 198
 
5.5%
m 110
 
3.0%
y 88
 
2.4%
Other values (12) 264
 
7.3%
Other Punctuation
ValueCountFrequency (%)
; 370
60.0%
, 171
27.7%
. 76
 
12.3%
Space Separator
ValueCountFrequency (%)
994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4906
71.3%
Common 1711
 
24.9%
Hangul 268
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 38
 
14.2%
선 16
 
6.0%
김 12
 
4.5%
주 12
 
4.5%
용 10
 
3.7%
동 10
 
3.7%
원 10
 
3.7%
덕 8
 
3.0%
안 8
 
3.0%
종 8
 
3.0%
Other values (43) 136
50.7%
Latin
ValueCountFrequency (%)
n 736
15.0%
o 506
 
10.3%
e 498
 
10.2%
g 372
 
7.6%
u 366
 
7.5%
a 248
 
5.1%
i 228
 
4.6%
h 198
 
4.0%
S 198
 
4.0%
J 182
 
3.7%
Other values (35) 1374
28.0%
Common
ValueCountFrequency (%)
994
58.1%
; 370
 
21.6%
, 171
 
10.0%
- 100
 
5.8%
. 76
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6617
96.1%
Hangul 268
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
994
15.0%
n 736
 
11.1%
o 506
 
7.6%
e 498
 
7.5%
g 372
 
5.6%
; 370
 
5.6%
u 366
 
5.5%
a 248
 
3.7%
i 228
 
3.4%
h 198
 
3.0%
Other values (40) 2101
31.8%
Hangul
ValueCountFrequency (%)
이 38
 
14.2%
선 16
 
6.0%
김 12
 
4.5%
주 12
 
4.5%
용 10
 
3.7%
동 10
 
3.7%
원 10
 
3.7%
덕 8
 
3.0%
안 8
 
3.0%
종 8
 
3.0%
Other values (43) 136
50.7%

학술지명
Text

Distinct169
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T12:32:45.917386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length56
Mean length31.460481
Min length4

Characters and Unicode

Total characters9155
Distinct characters133
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)40.9%

Sample

1st rowEmirates Journal of Food and Agriculture
2nd rowEngineering in Agriculture, Environment and Food
3rd rowJournal of biosystems engineering
4th row생명공학연구
5th row생명공학연구
ValueCountFrequency (%)
of 122
 
9.8%
journal 110
 
8.9%
food 87
 
7.0%
science 63
 
5.1%
and 61
 
4.9%
47
 
3.8%
engineering 40
 
3.2%
technology 32
 
2.6%
korean 27
 
2.2%
international 25
 
2.0%
Other values (228) 627
50.5%
2023-12-11T12:32:46.295476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
951
 
10.4%
o 883
 
9.6%
n 686
 
7.5%
e 652
 
7.1%
i 522
 
5.7%
r 472
 
5.2%
a 450
 
4.9%
l 389
 
4.2%
c 381
 
4.2%
t 354
 
3.9%
Other values (123) 3415
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6408
70.0%
Uppercase Letter 1293
 
14.1%
Space Separator 951
 
10.4%
Other Letter 373
 
4.1%
Other Punctuation 88
 
1.0%
Math Symbol 16
 
0.2%
Dash Punctuation 10
 
0.1%
Decimal Number 8
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 34
 
9.1%
회 24
 
6.4%
한 22
 
5.9%
지 21
 
5.6%
국 21
 
5.6%
기 18
 
4.8%
술 11
 
2.9%
업 10
 
2.7%
장 10
 
2.7%
농 9
 
2.4%
Other values (59) 193
51.7%
Lowercase Letter
ValueCountFrequency (%)
o 883
13.8%
n 686
10.7%
e 652
10.2%
i 522
 
8.1%
r 472
 
7.4%
a 450
 
7.0%
l 389
 
6.1%
c 381
 
5.9%
t 354
 
5.5%
u 243
 
3.8%
Other values (15) 1376
21.5%
Uppercase Letter
ValueCountFrequency (%)
S 136
 
10.5%
J 118
 
9.1%
E 114
 
8.8%
F 100
 
7.7%
A 98
 
7.6%
C 92
 
7.1%
I 80
 
6.2%
N 66
 
5.1%
B 62
 
4.8%
T 62
 
4.8%
Other values (14) 365
28.2%
Other Punctuation
ValueCountFrequency (%)
. 39
44.3%
& 21
23.9%
, 20
22.7%
: 8
 
9.1%
Math Symbol
ValueCountFrequency (%)
= 13
81.2%
+ 3
 
18.8%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 4
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Space Separator
ValueCountFrequency (%)
951
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7701
84.1%
Common 1081
 
11.8%
Hangul 373
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 34
 
9.1%
회 24
 
6.4%
한 22
 
5.9%
지 21
 
5.6%
국 21
 
5.6%
기 18
 
4.8%
술 11
 
2.9%
업 10
 
2.7%
장 10
 
2.7%
농 9
 
2.4%
Other values (59) 193
51.7%
Latin
ValueCountFrequency (%)
o 883
 
11.5%
n 686
 
8.9%
e 652
 
8.5%
i 522
 
6.8%
r 472
 
6.1%
a 450
 
5.8%
l 389
 
5.1%
c 381
 
4.9%
t 354
 
4.6%
u 243
 
3.2%
Other values (39) 2669
34.7%
Common
ValueCountFrequency (%)
951
88.0%
. 39
 
3.6%
& 21
 
1.9%
, 20
 
1.9%
= 13
 
1.2%
- 10
 
0.9%
: 8
 
0.7%
1 4
 
0.4%
2 4
 
0.4%
+ 3
 
0.3%
Other values (5) 8
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8780
95.9%
Hangul 372
 
4.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
951
 
10.8%
o 883
 
10.1%
n 686
 
7.8%
e 652
 
7.4%
i 522
 
5.9%
r 472
 
5.4%
a 450
 
5.1%
l 389
 
4.4%
c 381
 
4.3%
t 354
 
4.0%
Other values (53) 3040
34.6%
Hangul
ValueCountFrequency (%)
학 34
 
9.1%
회 24
 
6.5%
한 22
 
5.9%
지 21
 
5.6%
국 21
 
5.6%
기 18
 
4.8%
술 11
 
3.0%
업 10
 
2.7%
장 10
 
2.7%
농 9
 
2.4%
Other values (58) 192
51.6%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

Interactions

2023-12-11T12:32:41.786829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:32:41.195460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:32:41.909844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:32:41.340574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:32:46.385379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제번호사업명과제명연구책임자학술지 출판년도저자
번호1.0000.8690.9090.8690.8690.6970.958
과제번호0.8691.0001.0001.0001.0000.4281.000
사업명0.9091.0001.0001.0001.0000.4521.000
과제명0.8691.0001.0001.0001.0000.4281.000
연구책임자0.8691.0001.0001.0001.0000.4281.000
학술지 출판년도0.6970.4280.4520.4280.4281.0000.975
저자0.9581.0001.0001.0001.0000.9751.000
2023-12-11T12:32:46.481256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업명과제명과제번호연구책임자
사업명1.0000.9630.9630.963
과제명0.9631.0001.0001.000
과제번호0.9631.0001.0001.000
연구책임자0.9631.0001.0001.000
2023-12-11T12:32:46.566195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호학술지 출판년도과제번호사업명과제명연구책임자
번호1.000-0.2310.5240.6010.5240.524
학술지 출판년도-0.2311.0000.1370.3040.1370.137
과제번호0.5240.1371.0000.9631.0001.000
사업명0.6010.3040.9631.0000.9630.963
과제명0.5240.1371.0000.9631.0001.000
연구책임자0.5240.1371.0000.9631.0001.000

Missing values

2023-12-11T12:32:42.106138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:32:42.303113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호분류과제번호사업명과제명연구책임자논문명학술지 출판년도저자학술지명
01농림식품 기계ㆍ시스템114044-3첨단생산기술개발사료비 절감을 위한 TMR 플랜트의 부산물사료 발효저장 통합관리 시스템 구축하유신Optimization of parboiling conditions for enhanced Japonica rice milling2016<NA>Emirates Journal of Food and Agriculture
12농림식품 기계ㆍ시스템114044-3첨단생산기술개발사료비 절감을 위한 TMR 플랜트의 부산물사료 발효저장 통합관리 시스템 구축하유신Drying characteristics and milling quality of parboiled Japonica rice under various drying conditions2017<NA>Engineering in Agriculture, Environment and Food
23농림식품 기계ㆍ시스템114044-3첨단생산기술개발사료비 절감을 위한 TMR 플랜트의 부산물사료 발효저장 통합관리 시스템 구축하유신Development of a Water-Spraying Type Automatic Glochids Removal System for Cactus (Opuntia humifusa) Stem2016<NA>Journal of biosystems engineering
34농림식품 기계ㆍ시스템114046-3첨단생산기술개발영상처리를 이용한 파프리카 인식 자동 수확작업기 개발이대원파프리카 수확 자동화를 위한 파프리카 인식 및 대응점 획득 알고리즘 연구2014이봉기; 이민영; 이대원,이봉기; 이민영; 이대원생명공학연구
45농림식품 기계ㆍ시스템114046-3첨단생산기술개발영상처리를 이용한 파프리카 인식 자동 수확작업기 개발이대원파프리카 수확 자동화를 위한 파프리카 인식 및 대응점 획득 알고리즘 연구2014<NA>생명공학연구
56농림식품 기계ㆍ시스템114046-3첨단생산기술개발영상처리를 이용한 파프리카 인식 자동 수확작업기 개발이대원파프리카 자동 수확을 위한 파프리카 재배 환경 스테레오 영상 정합 알고리즘 연구2015<NA>생명공학연구
67농림식품 기계ㆍ시스템114046-3첨단생산기술개발영상처리를 이용한 파프리카 인식 자동 수확작업기 개발이대원Development of Algorithm Recognizing Abnormal Regions of Paprika based on Image Processing and Artificial Neural Network2016<NA>원예과학기술지
78농림식품 기계ㆍ시스템114046-3첨단생산기술개발영상처리를 이용한 파프리카 인식 자동 수확작업기 개발이대원스테레오 영상을 이용한 파프리카 인식 및 좌표 정보 획득 영상처리 알고리즘 개발2015송의한;이민영;이봉기;이대원,송의한;이민영;이봉기;이대원시설원예 식물공장
89농림식품 기계ㆍ시스템114046-3첨단생산기술개발영상처리를 이용한 파프리카 인식 자동 수확작업기 개발이대원영상처리와인공신명망을이용한파프리카비정상영역인식알고리즘개발을위한연구2016<NA>생명공학연구
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