Overview

Dataset statistics

Number of variables9
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory74.5 B

Variable types

Numeric1
Categorical5
Text3

Dataset

Description농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다. 우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 환경생태 R&D 국내 및 국제학술발표정보 공개
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075499/fileData.do

Alerts

분류 has constant value ""Constant
과제관리번호 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
연구책임자 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
과제명 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
번호 is highly overall correlated with 과제관리번호 and 2 other fieldsHigh correlation
학술발표일자 is highly overall correlated with 과제관리번호 and 2 other fieldsHigh correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:15:12.666290
Analysis finished2023-12-12 06:15:14.205398
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T15:15:14.297265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile84.6
Maximum89
Range88
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.836021
Coefficient of variation (CV)0.57413381
Kurtosis-1.2
Mean45
Median Absolute Deviation (MAD)22
Skewness0
Sum4005
Variance667.5
MonotonicityStrictly increasing
2023-12-12T15:15:14.464348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
농림식품 환경생태
89 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농림식품 환경생태 89
100.0%

Length

2023-12-12T15:15:14.633302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:15:14.766008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 89
50.0%
환경생태 89
50.0%

과제관리번호
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size844.0 B
120049-2
8 
320051-3
7 
320047-5
6 
320049-5
 
5
120099-3
 
5
Other values (30)
58 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique13 ?
Unique (%)14.6%

Sample

1st row116114-3
2nd row116118-3
3rd row118102-2
4th row118103-3
5th row120049-2

Common Values

ValueCountFrequency (%)
120049-2 8
 
9.0%
320051-3 7
 
7.9%
320047-5 6
 
6.7%
320049-5 5
 
5.6%
120099-3 5
 
5.6%
320052-3 4
 
4.5%
918019-4 4
 
4.5%
918017-4 4
 
4.5%
320046-5 3
 
3.4%
320043-5 3
 
3.4%
Other values (25) 40
44.9%

Length

2023-12-12T15:15:14.894137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
120049-2 8
 
9.0%
320051-3 7
 
7.9%
320047-5 6
 
6.7%
320049-5 5
 
5.6%
120099-3 5
 
5.6%
320052-3 4
 
4.5%
918019-4 4
 
4.5%
918017-4 4
 
4.5%
918016-4 3
 
3.4%
317005-4 3
 
3.4%
Other values (25) 40
44.9%

과제명
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size844.0 B
뿌리혹선충 방제용 유기농업자재 제품화
8 
ICT기반 밭관개용수 확보 다기능 저류조 용수공급시스템 개발
7 
농업 재난ㆍ재해 대응 농업생산기반 설계기준 및 운영체계 개발
6 
ICT를 이용한 농업용담수호 수질관리 기법개발
 
5
농촌 폭염·가뭄피해 저감 실증모델 구축
 
5
Other values (30)
58 

Length

Max length67
Median length45
Mean length32.269663
Min length20

Unique

Unique13 ?
Unique (%)14.6%

Sample

1st rowIoT 기반 저수지 붕괴 예경보시스템
2nd rowPGPR균과 작물활성물질을 이용한 수출형 복합바이오비료 개발 및 제품화
3rd row한봉 사육 편리성 제고 및 비용 절감을 위한 기자재 표준화
4th row식물바이러스 매개 흡즙 해충 방제용 곤충병원성 진균의 산업화
5th row뿌리혹선충 방제용 유기농업자재 제품화

Common Values

ValueCountFrequency (%)
뿌리혹선충 방제용 유기농업자재 제품화 8
 
9.0%
ICT기반 밭관개용수 확보 다기능 저류조 용수공급시스템 개발 7
 
7.9%
농업 재난ㆍ재해 대응 농업생산기반 설계기준 및 운영체계 개발 6
 
6.7%
ICT를 이용한 농업용담수호 수질관리 기법개발 5
 
5.6%
농촌 폭염·가뭄피해 저감 실증모델 구축 5
 
5.6%
농업부산물을 이용한 농어촌형 저영향개발(LID) 시설 개발 4
 
4.5%
기능유전체 기반 다중 공기전염 식물병원균의 병 발생 기작 규명 및 제어 전략 개발 4
 
4.5%
벼 마이크로바이옴 분석 및 상호작용 기능 연구 4
 
4.5%
기후변화 대응 농업수리구조물 홍수조절능력 분석 및 연계 운영 3
 
3.4%
병해충 예찰 방법 개선을 위한 거점대학 육성 3
 
3.4%
Other values (25) 40
44.9%

Length

2023-12-12T15:15:15.060041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발 48
 
6.9%
및 35
 
5.0%
위한 16
 
2.3%
이용한 15
 
2.1%
방제용 12
 
1.7%
제품화 10
 
1.4%
기술 10
 
1.4%
확보 10
 
1.4%
미생물 10
 
1.4%
대응 9
 
1.3%
Other values (210) 524
75.0%

연구책임자
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
심영근
8 
신형진
7 
이백
6 
박용은
 
5
신설은
 
5
Other values (29)
58 

Length

Max length3
Median length3
Mean length2.9213483
Min length2

Unique

Unique12 ?
Unique (%)13.5%

Sample

1st row김용성
2nd row조영복
3rd row김순일
4th row김정태
5th row심영근

Common Values

ValueCountFrequency (%)
심영근 8
 
9.0%
신형진 7
 
7.9%
이백 6
 
6.7%
박용은 5
 
5.6%
신설은 5
 
5.6%
윤성환 4
 
4.5%
이용환 4
 
4.5%
함은혜 4
 
4.5%
이병선 4
 
4.5%
엄한용 3
 
3.4%
Other values (24) 39
43.8%

Length

2023-12-12T15:15:15.197644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
심영근 8
 
9.0%
신형진 7
 
7.9%
이백 6
 
6.7%
박용은 5
 
5.6%
신설은 5
 
5.6%
함은혜 4
 
4.5%
이병선 4
 
4.5%
이용환 4
 
4.5%
윤성환 4
 
4.5%
엄한용 3
 
3.4%
Other values (24) 39
43.8%

학술회의명
Text

Distinct51
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-12T15:15:15.432423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length38
Mean length22.516854
Min length6

Characters and Unicode

Total characters2004
Distinct characters122
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)34.8%

Sample

1st row한국농공학회2020학술발표회
2nd row한국분자세포생물학회
3rd row한국응용곤충학회
4th row한국응용곤충학회
5th row국제심포지엄 생물공학회
ValueCountFrequency (%)
2020 41
 
13.1%
학술발표회 20
 
6.4%
한국농공학회 18
 
5.8%
the 13
 
4.2%
국제심포지엄 9
 
2.9%
conference 8
 
2.6%
of 8
 
2.6%
kspp 7
 
2.2%
및 6
 
1.9%
한국식물병리학회 6
 
1.9%
Other values (91) 177
56.5%
2023-12-12T15:15:15.957308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
11.2%
회 114
 
5.7%
학 111
 
5.5%
2 106
 
5.3%
0 104
 
5.2%
e 90
 
4.5%
n 73
 
3.6%
국 66
 
3.3%
한 57
 
2.8%
o 57
 
2.8%
Other values (112) 1002
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 829
41.4%
Lowercase Letter 591
29.5%
Space Separator 224
 
11.2%
Decimal Number 216
 
10.8%
Uppercase Letter 129
 
6.4%
Other Punctuation 6
 
0.3%
Dash Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 114
 
13.8%
학 111
 
13.4%
국 66
 
8.0%
한 57
 
6.9%
술 43
 
5.2%
발 30
 
3.6%
공 29
 
3.5%
표 29
 
3.5%
농 23
 
2.8%
대 22
 
2.7%
Other values (67) 305
36.8%
Lowercase Letter
ValueCountFrequency (%)
e 90
15.2%
n 73
12.4%
o 57
9.6%
i 43
 
7.3%
a 42
 
7.1%
t 38
 
6.4%
r 33
 
5.6%
c 32
 
5.4%
l 27
 
4.6%
s 23
 
3.9%
Other values (10) 133
22.5%
Uppercase Letter
ValueCountFrequency (%)
S 28
21.7%
P 17
13.2%
K 14
10.9%
C 13
10.1%
M 10
 
7.8%
A 9
 
7.0%
I 7
 
5.4%
T 6
 
4.7%
G 6
 
4.7%
E 5
 
3.9%
Other values (5) 14
10.9%
Decimal Number
ValueCountFrequency (%)
2 106
49.1%
0 104
48.1%
1 3
 
1.4%
3 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
: 2
33.3%
Space Separator
ValueCountFrequency (%)
224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 829
41.4%
Latin 720
35.9%
Common 455
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 114
 
13.8%
학 111
 
13.4%
국 66
 
8.0%
한 57
 
6.9%
술 43
 
5.2%
발 30
 
3.6%
공 29
 
3.5%
표 29
 
3.5%
농 23
 
2.8%
대 22
 
2.7%
Other values (67) 305
36.8%
Latin
ValueCountFrequency (%)
e 90
 
12.5%
n 73
 
10.1%
o 57
 
7.9%
i 43
 
6.0%
a 42
 
5.8%
t 38
 
5.3%
r 33
 
4.6%
c 32
 
4.4%
S 28
 
3.9%
l 27
 
3.8%
Other values (25) 257
35.7%
Common
ValueCountFrequency (%)
224
49.2%
2 106
23.3%
0 104
22.9%
& 4
 
0.9%
- 3
 
0.7%
1 3
 
0.7%
3 3
 
0.7%
) 3
 
0.7%
( 3
 
0.7%
: 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1175
58.6%
Hangul 829
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
19.1%
2 106
 
9.0%
0 104
 
8.9%
e 90
 
7.7%
n 73
 
6.2%
o 57
 
4.9%
i 43
 
3.7%
a 42
 
3.6%
t 38
 
3.2%
r 33
 
2.8%
Other values (35) 365
31.1%
Hangul
ValueCountFrequency (%)
회 114
 
13.8%
학 111
 
13.4%
국 66
 
8.0%
한 57
 
6.9%
술 43
 
5.2%
발 30
 
3.6%
공 29
 
3.5%
표 29
 
3.5%
농 23
 
2.8%
대 22
 
2.7%
Other values (67) 305
36.8%

학술발표제목
Text

Distinct88
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-12T15:15:16.386693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length103
Mean length67.168539
Min length19

Characters and Unicode

Total characters5978
Distinct characters272
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)97.8%

Sample

1st row단계별 굴착실험에서 지중관입형 센서를 통한 사면 붕괴 거동 연구
2nd rowPlant Growth Promoting Rhizobacteria (PGPR) Treatment on Early Growth of Crops under Salt-stress
3rd rowComparison on temperature, weight and brood area changes among different types of hive for the asiatic honeybee
4th rowEntomopathogenic fungi-based biopesticide
5th rowstudy of pheromone and their insect receptor
ValueCountFrequency (%)
of 46
 
4.9%
and 19
 
2.0%
in 19
 
2.0%
및 15
 
1.6%
for 12
 
1.3%
the 11
 
1.2%
on 11
 
1.2%
연구 10
 
1.1%
a 9
 
1.0%
분석 8
 
0.9%
Other values (553) 775
82.9%
2023-12-12T15:15:16.995937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
846
 
14.2%
e 397
 
6.6%
o 355
 
5.9%
i 344
 
5.8%
a 330
 
5.5%
t 319
 
5.3%
n 308
 
5.2%
r 243
 
4.1%
s 229
 
3.8%
c 174
 
2.9%
Other values (262) 2433
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3789
63.4%
Other Letter 971
 
16.2%
Space Separator 846
 
14.2%
Uppercase Letter 306
 
5.1%
Other Punctuation 26
 
0.4%
Dash Punctuation 25
 
0.4%
Decimal Number 9
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 28
 
2.9%
용 27
 
2.8%
농 26
 
2.7%
지 24
 
2.5%
개 24
 
2.5%
수 24
 
2.5%
한 23
 
2.4%
관 23
 
2.4%
분 18
 
1.9%
업 18
 
1.9%
Other values (201) 736
75.8%
Lowercase Letter
ValueCountFrequency (%)
e 397
10.5%
o 355
 
9.4%
i 344
 
9.1%
a 330
 
8.7%
t 319
 
8.4%
n 308
 
8.1%
r 243
 
6.4%
s 229
 
6.0%
c 174
 
4.6%
l 147
 
3.9%
Other values (16) 943
24.9%
Uppercase Letter
ValueCountFrequency (%)
P 30
 
9.8%
S 28
 
9.2%
C 24
 
7.8%
I 23
 
7.5%
M 21
 
6.9%
A 21
 
6.9%
R 21
 
6.9%
E 17
 
5.6%
T 16
 
5.2%
D 15
 
4.9%
Other values (12) 90
29.4%
Decimal Number
ValueCountFrequency (%)
2 2
22.2%
1 2
22.2%
3 2
22.2%
7 2
22.2%
9 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 17
65.4%
: 4
 
15.4%
. 4
 
15.4%
/ 1
 
3.8%
Space Separator
ValueCountFrequency (%)
846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4095
68.5%
Hangul 971
 
16.2%
Common 912
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 28
 
2.9%
용 27
 
2.8%
농 26
 
2.7%
지 24
 
2.5%
개 24
 
2.5%
수 24
 
2.5%
한 23
 
2.4%
관 23
 
2.4%
분 18
 
1.9%
업 18
 
1.9%
Other values (201) 736
75.8%
Latin
ValueCountFrequency (%)
e 397
 
9.7%
o 355
 
8.7%
i 344
 
8.4%
a 330
 
8.1%
t 319
 
7.8%
n 308
 
7.5%
r 243
 
5.9%
s 229
 
5.6%
c 174
 
4.2%
l 147
 
3.6%
Other values (38) 1249
30.5%
Common
ValueCountFrequency (%)
846
92.8%
- 25
 
2.7%
, 17
 
1.9%
: 4
 
0.4%
. 4
 
0.4%
) 3
 
0.3%
( 3
 
0.3%
2 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%
Other values (3) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5007
83.8%
Hangul 971
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
846
16.9%
e 397
 
7.9%
o 355
 
7.1%
i 344
 
6.9%
a 330
 
6.6%
t 319
 
6.4%
n 308
 
6.2%
r 243
 
4.9%
s 229
 
4.6%
c 174
 
3.5%
Other values (51) 1462
29.2%
Hangul
ValueCountFrequency (%)
기 28
 
2.9%
용 27
 
2.8%
농 26
 
2.7%
지 24
 
2.5%
개 24
 
2.5%
수 24
 
2.5%
한 23
 
2.4%
관 23
 
2.4%
분 18
 
1.9%
업 18
 
1.9%
Other values (201) 736
75.8%

학술발표자
Text

Distinct70
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-12T15:15:17.364571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length3
Mean length7.5168539
Min length2

Characters and Unicode

Total characters669
Distinct characters147
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)69.7%

Sample

1st row이승주, 임현택, 장우영, 타망 비벡, 김기환, 김용성
2nd row최창근
3rd row김순일, 이찬주, 홍영희, 이명렬, 유철형
4th row김재수
5th row이준호
ValueCountFrequency (%)
이준호 8
 
5.3%
박찬기 6
 
3.9%
남귀숙 3
 
2.0%
kook-hyung 3
 
2.0%
kim 3
 
2.0%
최인영 3
 
2.0%
송인홍 3
 
2.0%
김세훈 2
 
1.3%
전준현 2
 
1.3%
lee 2
 
1.3%
Other values (107) 117
77.0%
2023-12-12T15:15:17.912094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
9.4%
, 54
 
8.1%
이 28
 
4.2%
김 21
 
3.1%
준 17
 
2.5%
e 12
 
1.8%
박 12
 
1.8%
a 12
 
1.8%
정 12
 
1.8%
n 11
 
1.6%
Other values (137) 427
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
59.6%
Lowercase Letter 112
 
16.7%
Space Separator 63
 
9.4%
Other Punctuation 56
 
8.4%
Uppercase Letter 30
 
4.5%
Dash Punctuation 3
 
0.4%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 28
 
7.0%
김 21
 
5.3%
준 17
 
4.3%
박 12
 
3.0%
정 12
 
3.0%
진 11
 
2.8%
영 11
 
2.8%
현 10
 
2.5%
기 9
 
2.3%
선 9
 
2.3%
Other values (97) 259
64.9%
Lowercase Letter
ValueCountFrequency (%)
e 12
10.7%
a 12
10.7%
n 11
9.8%
o 11
9.8%
u 10
8.9%
h 8
 
7.1%
m 8
 
7.1%
i 7
 
6.2%
g 6
 
5.4%
r 6
 
5.4%
Other values (8) 21
18.8%
Uppercase Letter
ValueCountFrequency (%)
K 6
20.0%
S 5
16.7%
H 3
10.0%
M 3
10.0%
F 2
 
6.7%
L 2
 
6.7%
R 2
 
6.7%
D 1
 
3.3%
G 1
 
3.3%
E 1
 
3.3%
Other values (4) 4
13.3%
Other Punctuation
ValueCountFrequency (%)
, 54
96.4%
. 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
59.6%
Latin 142
 
21.2%
Common 128
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 28
 
7.0%
김 21
 
5.3%
준 17
 
4.3%
박 12
 
3.0%
정 12
 
3.0%
진 11
 
2.8%
영 11
 
2.8%
현 10
 
2.5%
기 9
 
2.3%
선 9
 
2.3%
Other values (97) 259
64.9%
Latin
ValueCountFrequency (%)
e 12
 
8.5%
a 12
 
8.5%
n 11
 
7.7%
o 11
 
7.7%
u 10
 
7.0%
h 8
 
5.6%
m 8
 
5.6%
i 7
 
4.9%
K 6
 
4.2%
g 6
 
4.2%
Other values (22) 51
35.9%
Common
ValueCountFrequency (%)
63
49.2%
, 54
42.2%
- 3
 
2.3%
) 2
 
1.6%
( 2
 
1.6%
. 2
 
1.6%
2 1
 
0.8%
6 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
59.6%
ASCII 270
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
23.3%
, 54
20.0%
e 12
 
4.4%
a 12
 
4.4%
n 11
 
4.1%
o 11
 
4.1%
u 10
 
3.7%
h 8
 
3.0%
m 8
 
3.0%
i 7
 
2.6%
Other values (30) 74
27.4%
Hangul
ValueCountFrequency (%)
이 28
 
7.0%
김 21
 
5.3%
준 17
 
4.3%
박 12
 
3.0%
정 12
 
3.0%
진 11
 
2.8%
영 11
 
2.8%
현 10
 
2.5%
기 9
 
2.3%
선 9
 
2.3%
Other values (97) 259
64.9%

학술발표일자
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
2020-10-16
20 
2020-10-14
12 
2020-06-25
6 
2020-10-29
 
4
2020-10-28
 
4
Other values (20)
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)6.7%

Sample

1st row2020-10-16
2nd row2020-01-15
3rd row2020-05-25
4th row2020-05-25
5th row2020-06-25

Common Values

ValueCountFrequency (%)
2020-10-16 20
22.5%
2020-10-14 12
13.5%
2020-06-25 6
 
6.7%
2020-10-29 4
 
4.5%
2020-10-28 4
 
4.5%
2020-10-22 4
 
4.5%
2020-05-25 3
 
3.4%
2020-08-20 3
 
3.4%
2020-11-05 3
 
3.4%
2020-06-26 3
 
3.4%
Other values (15) 27
30.3%

Length

2023-12-12T15:15:18.039181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-10-16 20
22.5%
2020-10-14 12
13.5%
2020-06-25 6
 
6.7%
2020-10-29 4
 
4.5%
2020-10-28 4
 
4.5%
2020-10-22 4
 
4.5%
2020-06-26 3
 
3.4%
2020-10-21 3
 
3.4%
2020-11-16 3
 
3.4%
2020-10-07 3
 
3.4%
Other values (15) 27
30.3%

Interactions

2023-12-12T15:15:13.875951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:15:18.141869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제관리번호과제명연구책임자학술회의명학술발표제목학술발표자학술발표일자
번호1.0000.9820.9820.9760.9350.9400.9800.844
과제관리번호0.9821.0001.0001.0000.9941.0001.0000.967
과제명0.9821.0001.0001.0000.9941.0001.0000.967
연구책임자0.9761.0001.0001.0000.9951.0000.9980.963
학술회의명0.9350.9940.9940.9951.0000.9850.9750.997
학술발표제목0.9401.0001.0001.0000.9851.0001.0000.000
학술발표자0.9801.0001.0000.9980.9751.0001.0000.942
학술발표일자0.8440.9670.9670.9630.9970.0000.9421.000
2023-12-12T15:15:18.262051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제관리번호학술발표일자연구책임자과제명
과제관리번호1.0000.5880.9911.000
학술발표일자0.5881.0000.5800.588
연구책임자0.9910.5801.0000.991
과제명1.0000.5880.9911.000
2023-12-12T15:15:18.380790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제관리번호과제명연구책임자학술발표일자
번호1.0000.7030.7030.7010.437
과제관리번호0.7031.0001.0000.9910.588
과제명0.7031.0001.0000.9910.588
연구책임자0.7010.9910.9911.0000.580
학술발표일자0.4370.5880.5880.5801.000

Missing values

2023-12-12T15:15:14.021215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:15:14.147305image/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

번호분류과제관리번호과제명연구책임자학술회의명학술발표제목학술발표자학술발표일자
01농림식품 환경생태116114-3IoT 기반 저수지 붕괴 예경보시스템김용성한국농공학회2020학술발표회단계별 굴착실험에서 지중관입형 센서를 통한 사면 붕괴 거동 연구이승주, 임현택, 장우영, 타망 비벡, 김기환, 김용성2020-10-16
12농림식품 환경생태116118-3PGPR균과 작물활성물질을 이용한 수출형 복합바이오비료 개발 및 제품화조영복한국분자세포생물학회Plant Growth Promoting Rhizobacteria (PGPR) Treatment on Early Growth of Crops under Salt-stress최창근2020-01-15
23농림식품 환경생태118102-2한봉 사육 편리성 제고 및 비용 절감을 위한 기자재 표준화김순일한국응용곤충학회Comparison on temperature, weight and brood area changes among different types of hive for the asiatic honeybee김순일, 이찬주, 홍영희, 이명렬, 유철형2020-05-25
34농림식품 환경생태118103-3식물바이러스 매개 흡즙 해충 방제용 곤충병원성 진균의 산업화김정태한국응용곤충학회Entomopathogenic fungi-based biopesticide김재수2020-05-25
45농림식품 환경생태120049-2뿌리혹선충 방제용 유기농업자재 제품화심영근국제심포지엄 생물공학회study of pheromone and their insect receptor이준호2020-06-25
56농림식품 환경생태120049-2뿌리혹선충 방제용 유기농업자재 제품화심영근국제심포지엄 생화학분자생명공학회molecular study of olfactory receptor이준호2020-09-23
67농림식품 환경생태120049-2뿌리혹선충 방제용 유기농업자재 제품화심영근국제심포지엄 미생물학회Molecular Study of Microbiome-regulated Insect Odorant Receptor이준호2020-10-07
78농림식품 환경생태120049-2뿌리혹선충 방제용 유기농업자재 제품화심영근국제식포지엄 생물공학회study of incect olfactory receptor for attractants이준호2020-06-25
89농림식품 환경생태120049-2뿌리혹선충 방제용 유기농업자재 제품화심영근국제심포지엄 생명과학회cloning and functional characterization of insect odorant receptors이준호2020-08-06
910농림식품 환경생태120049-2뿌리혹선충 방제용 유기농업자재 제품화심영근국제심포지엄 생물공학회study of excitatory gaba-gate channel and nematocide이준호2020-10-21
번호분류과제관리번호과제명연구책임자학술회의명학술발표제목학술발표자학술발표일자
7980농림식품 환경생태918016-4오믹스배양기법을 이용한 다기능성 생물방제용 신규 미생물 확보이효진IUMS 2020Niveibacterium oryzae sp. nov., a nitrogen-fixing bacterium isolated from rice paddy soil조건영,이효진,황경숙2020-11-16
8081농림식품 환경생태918016-4오믹스배양기법을 이용한 다기능성 생물방제용 신규 미생물 확보이효진IUMS 2020Core Bacterial Community in a Rice Paddy Soil and Isolation of Purple Phototrophic Bacteria Using Culturomics Methods이효진,조건영,황경숙2020-11-16
8182농림식품 환경생태918017-4벼 마이크로바이옴 분석 및 상호작용 기능 연구이용환2020년 (사)한국균학회 정기학술대회 및 임시총회RPD3, Histone Deacetylase is Required for Regulating Growth Development of the Rice Blast Fungus, Magnaporthe oryzaeMohamed E. Farh, 이재준, 전준현2020-08-20
8283농림식품 환경생태918017-4벼 마이크로바이옴 분석 및 상호작용 기능 연구이용환2020년 (사)한국균학회 정기학술대회 및 임시총회Nitrogen-induced susceptibility and changes in fungal community structure in rice rhizosphereRoy Mehwish, Gnanendra Shanmugam, 전준현2020-08-20
8384농림식품 환경생태918017-4벼 마이크로바이옴 분석 및 상호작용 기능 연구이용환The KSPP 2020 Conference & Special SymposiumSpatiotemporal shifts in community structure of rice-associated microbiota during host development in field-grown rice김현2020-10-15
8485농림식품 환경생태918017-4벼 마이크로바이옴 분석 및 상호작용 기능 연구이용환The KSPP 2020 Conference & Special SymposiumSound Vibration-Triggered Epigenetic Modulation Induces Plant Root Immunity Against Ralstonia solanacearum정성희2020-10-14
8586농림식품 환경생태918019-4기능유전체 기반 다중 공기전염 식물병원균의 병 발생 기작 규명 및 제어 전략 개발윤성환The cyclase-associated protein CsCAP1 is essential for conidium morphogenesisappressorium development and pathogenicity of a pepper anthracnose pathogThe cyclase-associated protein CsCAP1 is essential for conidium morphogenesisappressorium development and pathogenicity of a pepper anthracnose pathog김경수2020-10-14
8687농림식품 환경생태918019-4기능유전체 기반 다중 공기전염 식물병원균의 병 발생 기작 규명 및 제어 전략 개발윤성환The 23rd Fungal Genetics and Biology Conference of the Microbiological Society of Korea 2020Roles of Homeobox Transcription Factors in the Development and Pathogenicity of the Pepper Anthracnose Fungus Colletotrichum scovilleiTeng Fu2020-02-06
8788농림식품 환경생태918019-4기능유전체 기반 다중 공기전염 식물병원균의 병 발생 기작 규명 및 제어 전략 개발윤성환The 2020 KSPP Conference & Special SymposiumFunctional roles of hydrophobin-encoding genes in Fusarium graminearum신유경2020-10-14
8889농림식품 환경생태918019-4기능유전체 기반 다중 공기전염 식물병원균의 병 발생 기작 규명 및 제어 전략 개발윤성환The 2020 KSPP Conference & Special SymposiumFunctional Analysis of FgPKS7 an essential element for sexual development inFusarium graminearum김다운2020-10-14