Overview

Dataset statistics

Number of variables7
Number of observations256
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.6 KiB
Average record size in memory58.5 B

Variable types

Numeric2
Text2
DateTime2
Categorical1

Dataset

Description농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다 농림수산식품 IBT 융합 R&D 과제 정보(20151216) 번호,분류,사업명,총괄과제번호,세부과제번호,과제명,연구수행기관,주관기관,총연구기관 시작일,총연구기간 종료일,당해년연구기간 시작일,당해년연구기간 종료일,총연구비,연구목표요약 등의 정보 제공
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15053205/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:59:52.910290
Analysis finished2023-12-12 16:59:54.045086
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct256
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5
Minimum1
Maximum256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:59:54.116061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.75
Q164.75
median128.5
Q3192.25
95-th percentile243.25
Maximum256
Range255
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation74.045031
Coefficient of variation (CV)0.57622592
Kurtosis-1.2
Mean128.5
Median Absolute Deviation (MAD)64
Skewness0
Sum32896
Variance5482.6667
MonotonicityStrictly increasing
2023-12-13T01:59:54.287617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
130 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
Other values (246) 246
96.1%
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 (%)
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%
247 1
0.4%

과제명
Text

Distinct232
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T01:59:54.627972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length54
Mean length33.035156
Min length8

Characters and Unicode

Total characters8457
Distinct characters409
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)83.6%

Sample

1st row천연고무 생합성 핵심유전자/단백질 규명 및 응용
2nd row수출용 전복 종자개발 세부연구계획 수립을 위한 상세기획
3rd row농업 및 농식품 분야의 R&D/고등교육 발전방안 연구
4th rowU-IT기술을 접목한 참다랑어 양식 지능화 기술 개발
5th row양식 활수산물의 수출촉진을 위한 장거리 유통·저장 시스템 개발
ValueCountFrequency (%)
및 128
 
6.3%
개발 91
 
4.5%
위한 41
 
2.0%
이용한 33
 
1.6%
시스템 32
 
1.6%
연구 32
 
1.6%
유전체 27
 
1.3%
유전자 25
 
1.2%
통한 25
 
1.2%
구축 19
 
0.9%
Other values (901) 1569
77.6%
2023-12-13T01:59:55.137891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1769
 
20.9%
발 174
 
2.1%
기 173
 
2.0%
유 151
 
1.8%
전 146
 
1.7%
한 145
 
1.7%
개 143
 
1.7%
및 129
 
1.5%
용 114
 
1.3%
이 105
 
1.2%
Other values (399) 5408
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6043
71.5%
Space Separator 1769
 
20.9%
Lowercase Letter 281
 
3.3%
Uppercase Letter 178
 
2.1%
Decimal Number 44
 
0.5%
Open Punctuation 41
 
0.5%
Close Punctuation 41
 
0.5%
Dash Punctuation 32
 
0.4%
Other Punctuation 28
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 174
 
2.9%
기 173
 
2.9%
유 151
 
2.5%
전 146
 
2.4%
한 145
 
2.4%
개 143
 
2.4%
및 129
 
2.1%
용 114
 
1.9%
이 105
 
1.7%
구 104
 
1.7%
Other values (344) 4659
77.1%
Lowercase Letter
ValueCountFrequency (%)
e 34
12.1%
n 28
10.0%
i 24
8.5%
o 24
8.5%
a 22
 
7.8%
s 22
 
7.8%
u 21
 
7.5%
r 17
 
6.0%
l 16
 
5.7%
t 15
 
5.3%
Other values (12) 58
20.6%
Uppercase Letter
ValueCountFrequency (%)
T 29
16.3%
I 25
14.0%
A 15
 
8.4%
D 15
 
8.4%
N 13
 
7.3%
R 11
 
6.2%
B 10
 
5.6%
G 8
 
4.5%
P 8
 
4.5%
F 6
 
3.4%
Other values (12) 38
21.3%
Other Punctuation
ValueCountFrequency (%)
/ 10
35.7%
, 10
35.7%
· 6
21.4%
. 1
 
3.6%
& 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 23
52.3%
1 21
47.7%
Space Separator
ValueCountFrequency (%)
1769
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6043
71.5%
Common 1955
 
23.1%
Latin 459
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 174
 
2.9%
기 173
 
2.9%
유 151
 
2.5%
전 146
 
2.4%
한 145
 
2.4%
개 143
 
2.4%
및 129
 
2.1%
용 114
 
1.9%
이 105
 
1.7%
구 104
 
1.7%
Other values (344) 4659
77.1%
Latin
ValueCountFrequency (%)
e 34
 
7.4%
T 29
 
6.3%
n 28
 
6.1%
I 25
 
5.4%
i 24
 
5.2%
o 24
 
5.2%
a 22
 
4.8%
s 22
 
4.8%
u 21
 
4.6%
r 17
 
3.7%
Other values (34) 213
46.4%
Common
ValueCountFrequency (%)
1769
90.5%
( 41
 
2.1%
) 41
 
2.1%
- 32
 
1.6%
2 23
 
1.2%
1 21
 
1.1%
/ 10
 
0.5%
, 10
 
0.5%
· 6
 
0.3%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6040
71.4%
ASCII 2408
 
28.5%
None 6
 
0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1769
73.5%
( 41
 
1.7%
) 41
 
1.7%
e 34
 
1.4%
- 32
 
1.3%
T 29
 
1.2%
n 28
 
1.2%
I 25
 
1.0%
i 24
 
1.0%
o 24
 
1.0%
Other values (44) 361
 
15.0%
Hangul
ValueCountFrequency (%)
발 174
 
2.9%
기 173
 
2.9%
유 151
 
2.5%
전 146
 
2.4%
한 145
 
2.4%
개 143
 
2.4%
및 129
 
2.1%
용 114
 
1.9%
이 105
 
1.7%
구 104
 
1.7%
Other values (343) 4656
77.1%
None
ValueCountFrequency (%)
· 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

주관기관명
Text

Distinct111
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T01:59:55.426096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length32
Mean length8.3632812
Min length5

Characters and Unicode

Total characters2141
Distinct characters198
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)29.7%

Sample

1st row한국생명공학연구원
2nd row(주)해양수산정책기술연구소
3rd row충북대학교
4th row(주)진우소프트이노베이션
5th row거제어류양식협회
ValueCountFrequency (%)
농촌진흥청 52
 
14.6%
본청 46
 
12.9%
산학협력단 26
 
7.3%
서울대학교 19
 
5.3%
국립수산과학원 14
 
3.9%
한국생명공학연구원 9
 
2.5%
충남대학교 9
 
2.5%
경상대학교 8
 
2.2%
경희대학교 7
 
2.0%
충북대학교 6
 
1.7%
Other values (110) 160
44.9%
2023-12-13T01:59:55.796335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 197
 
9.2%
대 130
 
6.1%
교 130
 
6.1%
청 101
 
4.7%
100
 
4.7%
산 66
 
3.1%
농 61
 
2.8%
진 57
 
2.7%
촌 53
 
2.5%
흥 52
 
2.4%
Other values (188) 1194
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
87.9%
Space Separator 100
 
4.7%
Lowercase Letter 77
 
3.6%
Open Punctuation 31
 
1.4%
Close Punctuation 31
 
1.4%
Uppercase Letter 18
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 197
 
10.5%
대 130
 
6.9%
교 130
 
6.9%
청 101
 
5.4%
산 66
 
3.5%
농 61
 
3.2%
진 57
 
3.0%
촌 53
 
2.8%
흥 52
 
2.8%
국 48
 
2.5%
Other values (157) 988
52.5%
Lowercase Letter
ValueCountFrequency (%)
i 13
16.9%
a 8
10.4%
n 8
10.4%
o 7
9.1%
r 6
7.8%
s 6
7.8%
t 5
 
6.5%
e 4
 
5.2%
f 3
 
3.9%
l 3
 
3.9%
Other values (8) 14
18.2%
Uppercase Letter
ValueCountFrequency (%)
U 6
33.3%
C 4
22.2%
I 2
 
11.1%
N 1
 
5.6%
S 1
 
5.6%
P 1
 
5.6%
A 1
 
5.6%
H 1
 
5.6%
M 1
 
5.6%
Space Separator
ValueCountFrequency (%)
100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
87.9%
Common 163
 
7.6%
Latin 95
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 197
 
10.5%
대 130
 
6.9%
교 130
 
6.9%
청 101
 
5.4%
산 66
 
3.5%
농 61
 
3.2%
진 57
 
3.0%
촌 53
 
2.8%
흥 52
 
2.8%
국 48
 
2.5%
Other values (157) 988
52.5%
Latin
ValueCountFrequency (%)
i 13
13.7%
a 8
 
8.4%
n 8
 
8.4%
o 7
 
7.4%
U 6
 
6.3%
r 6
 
6.3%
s 6
 
6.3%
t 5
 
5.3%
e 4
 
4.2%
C 4
 
4.2%
Other values (17) 28
29.5%
Common
ValueCountFrequency (%)
100
61.3%
( 31
 
19.0%
) 31
 
19.0%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1883
87.9%
ASCII 258
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 197
 
10.5%
대 130
 
6.9%
교 130
 
6.9%
청 101
 
5.4%
산 66
 
3.5%
농 61
 
3.2%
진 57
 
3.0%
촌 53
 
2.8%
흥 52
 
2.8%
국 48
 
2.5%
Other values (157) 988
52.5%
ASCII
ValueCountFrequency (%)
100
38.8%
( 31
 
12.0%
) 31
 
12.0%
i 13
 
5.0%
a 8
 
3.1%
n 8
 
3.1%
o 7
 
2.7%
U 6
 
2.3%
r 6
 
2.3%
s 6
 
2.3%
Other values (21) 42
16.3%

총연구기간_시작일
Date

Distinct55
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1921-01-01 00:00:00
Maximum2013-12-20 00:00:00
2023-12-13T01:59:55.916732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:56.052105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총연구기간_종료일
Date

Distinct52
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2010-12-31 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T01:59:56.178950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:56.317989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총연구비(백만원)
Real number (ℝ)

Distinct83
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.42148
Minimum10
Maximum1700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:59:56.452192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile37.5
Q180
median112
Q3280
95-th percentile569
Maximum1700
Range1690
Interquartile range (IQR)200

Descriptive statistics

Standard deviation214.72937
Coefficient of variation (CV)1.0402472
Kurtosis11.471279
Mean206.42148
Median Absolute Deviation (MAD)54.5
Skewness2.7800965
Sum52843.9
Variance46108.702
MonotonicityNot monotonic
2023-12-13T01:59:56.587329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.0 17
 
6.6%
100.0 16
 
6.2%
90.0 15
 
5.9%
400.0 11
 
4.3%
150.0 11
 
4.3%
70.0 11
 
4.3%
60.0 10
 
3.9%
30.0 10
 
3.9%
110.0 8
 
3.1%
500.0 7
 
2.7%
Other values (73) 140
54.7%
ValueCountFrequency (%)
10.0 1
 
0.4%
20.0 1
 
0.4%
25.0 1
 
0.4%
30.0 10
3.9%
40.0 2
 
0.8%
45.0 4
 
1.6%
50.0 7
2.7%
55.0 3
 
1.2%
60.0 10
3.9%
64.0 2
 
0.8%
ValueCountFrequency (%)
1700.0 1
0.4%
1031.0 1
0.4%
1016.0 1
0.4%
1000.0 2
0.8%
928.0 1
0.4%
890.0 1
0.4%
800.0 1
0.4%
770.0 1
0.4%
700.0 1
0.4%
620.0 1
0.4%

사업명
Categorical

Distinct30
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
차세대바이오그린21
111 
농림기술개발
34 
생명산업기술개발
21 
수산시험연구
 
9
첨단생산기술개발
 
9
Other values (25)
72 

Length

Max length22
Median length16
Mean length8.8398438
Min length6

Unique

Unique6 ?
Unique (%)2.3%

Sample

1st row생명산업기술개발
2nd row골든시드프로젝트
3rd row국책기술개발
4th row수산실용화기술개발사업
5th row수산실용화기술개발사업

Common Values

ValueCountFrequency (%)
차세대바이오그린21 111
43.4%
농림기술개발 34
 
13.3%
생명산업기술개발 21
 
8.2%
수산시험연구 9
 
3.5%
첨단생산기술개발 9
 
3.5%
국책기술개발 7
 
2.7%
첨단기술개발사업 7
 
2.7%
농업생명자원연구 6
 
2.3%
농업생물연구 6
 
2.3%
농업현장실용화기술개발 4
 
1.6%
Other values (20) 42
 
16.4%

Length

2023-12-13T01:59:56.735931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
차세대바이오그린21 111
43.0%
농림기술개발 34
 
13.2%
생명산업기술개발 21
 
8.1%
수산시험연구 9
 
3.5%
첨단생산기술개발 9
 
3.5%
국책기술개발 7
 
2.7%
첨단기술개발사업 7
 
2.7%
농업생명자원연구 6
 
2.3%
농업생물연구 6
 
2.3%
임업기술연구개발사업 4
 
1.6%
Other values (22) 44
 
17.1%

Interactions

2023-12-13T01:59:53.676358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:53.468526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:53.758801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:53.558656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:59:56.877296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
순번1.0000.9470.8430.3680.827
총연구기간_시작일0.9471.0000.9950.9160.978
총연구기간_종료일0.8430.9951.0000.8580.973
총연구비(백만원)0.3680.9160.8581.0000.661
사업명0.8270.9780.9730.6611.000
2023-12-13T01:59:56.981531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총연구비(백만원)사업명
순번1.0000.3580.409
총연구비(백만원)0.3581.0000.314
사업명0.4090.3141.000

Missing values

2023-12-13T01:59:53.894615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:59:54.002798image/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

순번과제명주관기관명총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
01천연고무 생합성 핵심유전자/단백질 규명 및 응용한국생명공학연구원2012-12-212015-12-2090.0생명산업기술개발
12수출용 전복 종자개발 세부연구계획 수립을 위한 상세기획(주)해양수산정책기술연구소2012-10-092013-03-0881.0골든시드프로젝트
23농업 및 농식품 분야의 R&D/고등교육 발전방안 연구충북대학교2012-09-012012-12-31100.0국책기술개발
34U-IT기술을 접목한 참다랑어 양식 지능화 기술 개발(주)진우소프트이노베이션2012-08-242014-08-23280.0수산실용화기술개발사업
45양식 활수산물의 수출촉진을 위한 장거리 유통·저장 시스템 개발거제어류양식협회2012-08-242014-08-23180.0수산실용화기술개발사업
56임도보전사업과 기계화를 위한 기술개발 및 현장 적용 기법 정립(사)한국산림기술사사무소협의회2012-08-152016-08-1420.0임업기술연구개발사업
67u-IT 융복합기술 기반 양봉 질병 감시 및 조기대응 체계 개발제주대학교2012-08-102015-08-09230.0첨단기술개발사업
78소 발정탐지 센서 및 시스템 개발(주)버츄얼스톰2012-08-102015-08-09180.0첨단기술개발사업
89스마트 IT시스템을 활용한 농어가 고소득 일원화 시스템 개발경북청정약용작물클러스터사업단2012-08-102015-08-09180.0첨단기술개발사업
910신개념 방제전략 개발을 위한 식물병원성 곰팡이의 전사조절 유전자의 기능분석강원대학교 산학협력단2012-08-102013-08-0930.0생명산업기술개발
순번과제명주관기관명총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
246247u-IT 융복합기술 기반 양봉 질병 감시 및 조기대응 체계 개발제주대학교2012-08-102015-08-09230.0첨단생산기술개발
247248스마트센서를 이용한 소의 발정탐지 센서 및 시스템 개발(주)버츄얼스톰2012-08-102015-08-09180.0첨단생산기술개발
248249제주형 고부가가치 약용작물 생산을 위한 u-IT생장관리시스템(재)제주테크노파크2012-08-102015-08-09380.0첨단생산기술개발
249250스마트 IT시스템을 활용한 농어가 고소득 일원화 시스템 개발경북청정약용작물클러스터사업단2012-08-102015-08-09180.0첨단생산기술개발
250251u-IT 융복합기술 기반의 노지 과수 생산 관리 시스템 개발서울대학교 산학협력단2011-12-262014-12-25400.0첨단생산기술개발
251252우수 검역탐지견 복제생산 및 검증서울대학교 산학협력단2011-12-262015-12-25325.0생명산업기술개발
252253Zinc finger nucleases를 이용한 소 광우병발현유전자가 제거된 배아 생산 및 유전자 제거 검증충남대학교 산학협력단2011-09-232014-09-22110.0생명산업기술개발
253254u-IT 기반의 스마트 농축산물 유통 및 저장 관리 시스템한국교통대학교산학협력단2011-08-192014-08-18350.0수출전략기술개발
254255고기능성ㆍ고품질 한우육 생산기술 개발영남대학교2011-08-192014-08-18450.0생명산업기술개발
255256돼지유전체 경제형질 마커의 조기진단 및 분자육종 시스템 개발충북대학교 산학협력단2011-08-192014-08-18400.0생명산업기술개발