Overview

Dataset statistics

Number of variables13
Number of observations2512
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory255.3 KiB
Average record size in memory104.1 B

Variable types

Text8
Categorical4
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품 관련 RnD 고용창출 성과 정보(번호,분류,과제구분,내역사업명,과제관리번호,과제명,연구책임자,고용창출일,고용형태,고용창출내용 등으로 구성)
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15111863/fileData.do

Alerts

과제구분 is highly overall correlated with 분야High correlation
분야 is highly overall correlated with 과제구분High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:22:05.132313
Analysis finished2023-12-12 22:22:07.863488
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct2512
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T07:22:08.125065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.5593153
Min length7

Characters and Unicode

Total characters24013
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2512 ?
Unique (%)100.0%

Sample

1st rowG2022-1
2nd rowG2022-2
3rd rowG2022-3
4th rowG2022-4
5th rowG2022-5
ValueCountFrequency (%)
g2022-1 1
 
< 0.1%
g2022-1678 1
 
< 0.1%
g2022-1687 1
 
< 0.1%
g2022-1672 1
 
< 0.1%
g2022-1673 1
 
< 0.1%
g2022-1674 1
 
< 0.1%
g2022-1675 1
 
< 0.1%
g2022-1676 1
 
< 0.1%
g2022-1677 1
 
< 0.1%
g2022-1680 1
 
< 0.1%
Other values (2502) 2502
99.6%
2023-12-13T07:22:08.579749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8851
36.9%
0 3213
 
13.4%
G 2512
 
10.5%
- 2512
 
10.5%
1 1805
 
7.5%
3 801
 
3.3%
4 801
 
3.3%
5 714
 
3.0%
9 701
 
2.9%
8 701
 
2.9%
Other values (2) 1402
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18989
79.1%
Uppercase Letter 2512
 
10.5%
Dash Punctuation 2512
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8851
46.6%
0 3213
 
16.9%
1 1805
 
9.5%
3 801
 
4.2%
4 801
 
4.2%
5 714
 
3.8%
9 701
 
3.7%
8 701
 
3.7%
6 701
 
3.7%
7 701
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
G 2512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2512
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21501
89.5%
Latin 2512
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8851
41.2%
0 3213
 
14.9%
- 2512
 
11.7%
1 1805
 
8.4%
3 801
 
3.7%
4 801
 
3.7%
5 714
 
3.3%
9 701
 
3.3%
8 701
 
3.3%
6 701
 
3.3%
Latin
ValueCountFrequency (%)
G 2512
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8851
36.9%
0 3213
 
13.4%
G 2512
 
10.5%
- 2512
 
10.5%
1 1805
 
7.5%
3 801
 
3.3%
4 801
 
3.3%
5 714
 
3.0%
9 701
 
2.9%
8 701
 
2.9%
Other values (2) 1402
 
5.8%

과제관리번호
Text

Distinct476
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T07:22:08.824521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.1170382
Min length8

Characters and Unicode

Total characters20390
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)5.4%

Sample

1st row322063-3
2nd row322041-2
3rd row116113-2
4th row116113-2
5th row321035-5
ValueCountFrequency (%)
319038-3 337
 
13.4%
121014-3 47
 
1.9%
421033-4 40
 
1.6%
321054-5 39
 
1.6%
321030-5 29
 
1.2%
319087-3 29
 
1.2%
117064-3 28
 
1.1%
321047-3 27
 
1.1%
421007-4 24
 
1.0%
119043-1 23
 
0.9%
Other values (466) 1889
75.2%
2023-12-13T07:22:09.258800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3645
17.9%
0 3332
16.3%
1 3248
15.9%
2 2809
13.8%
- 2463
12.1%
4 1043
 
5.1%
8 937
 
4.6%
9 930
 
4.6%
5 843
 
4.1%
7 593
 
2.9%
Other values (10) 547
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17803
87.3%
Dash Punctuation 2463
 
12.1%
Uppercase Letter 124
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3645
20.5%
0 3332
18.7%
1 3248
18.2%
2 2809
15.8%
4 1043
 
5.9%
8 937
 
5.3%
9 930
 
5.2%
5 843
 
4.7%
7 593
 
3.3%
6 423
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 49
39.5%
B 49
39.5%
F 8
 
6.5%
E 6
 
4.8%
D 4
 
3.2%
A 3
 
2.4%
W 2
 
1.6%
C 2
 
1.6%
V 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 2463
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20266
99.4%
Latin 124
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3645
18.0%
0 3332
16.4%
1 3248
16.0%
2 2809
13.9%
- 2463
12.2%
4 1043
 
5.1%
8 937
 
4.6%
9 930
 
4.6%
5 843
 
4.2%
7 593
 
2.9%
Latin
ValueCountFrequency (%)
S 49
39.5%
B 49
39.5%
F 8
 
6.5%
E 6
 
4.8%
D 4
 
3.2%
A 3
 
2.4%
W 2
 
1.6%
C 2
 
1.6%
V 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3645
17.9%
0 3332
16.3%
1 3248
15.9%
2 2809
13.8%
- 2463
12.1%
4 1043
 
5.1%
8 937
 
4.6%
9 930
 
4.6%
5 843
 
4.1%
7 593
 
2.9%
Other values (10) 547
 
2.7%

과제구분
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
고부가가치식품기술개발
542 
첨단생산기술개발
426 
스마트팜다부처패키지혁신기술개발사업
215 
기술사업화지원
209 
작물 바이러스 및 병해충 대응 산업화 기술개발
 
84
Other values (26)
1036 

Length

Max length25
Median length19
Mean length12.65008
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row디지털육종전환기술개발
2nd row노지분야스마트농업기술단기고도화
3rd row첨단생산기술개발
4th row첨단생산기술개발
5th row고부가가치식품기술개발

Common Values

ValueCountFrequency (%)
고부가가치식품기술개발 542
21.6%
첨단생산기술개발 426
17.0%
스마트팜다부처패키지혁신기술개발사업 215
 
8.6%
기술사업화지원 209
 
8.3%
작물 바이러스 및 병해충 대응 산업화 기술개발 84
 
3.3%
핵심농자재국산화기술개발 82
 
3.3%
첨단 농기계 산업화 기술개발 78
 
3.1%
유용 농생명자원 산업화 기술개발 76
 
3.0%
농식품수출비즈니스전략모델구축 73
 
2.9%
디지털육종전환기술개발 70
 
2.8%
Other values (21) 657
26.2%

Length

2023-12-13T07:22:09.460904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고부가가치식품기술개발 542
 
13.4%
첨단생산기술개발 426
 
10.5%
기술개발 270
 
6.7%
산업화 262
 
6.5%
스마트팜다부처패키지혁신기술개발사업 215
 
5.3%
기술사업화지원 209
 
5.1%
작물 84
 
2.1%
바이러스 84
 
2.1%
및 84
 
2.1%
병해충 84
 
2.1%
Other values (42) 1799
44.3%

내역사업명없음
Text

Distinct71
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T07:22:09.733935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length10.614252
Min length4

Characters and Unicode

Total characters26663
Distinct characters197
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row데이터 연계 디지털육종 활용 시스템
2nd row자율주행 농기계 핵심부품 국산화
3rd rowICT융복합시스템
4th rowICT융복합시스템
5th row미래대응식품 기술개발
ValueCountFrequency (%)
기술개발 378
 
6.9%
첨단농기계생산 353
 
6.4%
사업화 198
 
3.6%
미래대응식품 191
 
3.5%
차세대 158
 
2.9%
산업화 126
 
2.3%
r&d 125
 
2.3%
민간중심 125
 
2.3%
지원 125
 
2.3%
국산화 119
 
2.2%
Other values (122) 3608
65.5%
2023-12-13T07:22:10.142748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2994
 
11.2%
기 1553
 
5.8%
품 883
 
3.3%
술 824
 
3.1%
산 815
 
3.1%
개 766
 
2.9%
화 694
 
2.6%
발 682
 
2.6%
농 615
 
2.3%
업 582
 
2.2%
Other values (187) 16255
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22438
84.2%
Space Separator 2994
 
11.2%
Uppercase Letter 505
 
1.9%
Lowercase Letter 392
 
1.5%
Other Punctuation 291
 
1.1%
Decimal Number 43
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1553
 
6.9%
품 883
 
3.9%
술 824
 
3.7%
산 815
 
3.6%
개 766
 
3.4%
화 694
 
3.1%
발 682
 
3.0%
농 615
 
2.7%
업 582
 
2.6%
생 579
 
2.6%
Other values (169) 14445
64.4%
Uppercase Letter
ValueCountFrequency (%)
R 125
24.8%
D 125
24.8%
G 68
13.5%
S 49
 
9.7%
I 46
 
9.1%
C 46
 
9.1%
T 46
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 147
37.5%
d 98
25.0%
n 49
 
12.5%
l 49
 
12.5%
o 49
 
12.5%
Other Punctuation
ValueCountFrequency (%)
· 158
54.3%
& 125
43.0%
/ 8
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 24
55.8%
5 19
44.2%
Space Separator
ValueCountFrequency (%)
2994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22438
84.2%
Common 3328
 
12.5%
Latin 897
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1553
 
6.9%
품 883
 
3.9%
술 824
 
3.7%
산 815
 
3.6%
개 766
 
3.4%
화 694
 
3.1%
발 682
 
3.0%
농 615
 
2.7%
업 582
 
2.6%
생 579
 
2.6%
Other values (169) 14445
64.4%
Latin
ValueCountFrequency (%)
e 147
16.4%
R 125
13.9%
D 125
13.9%
d 98
10.9%
G 68
7.6%
S 49
 
5.5%
n 49
 
5.5%
l 49
 
5.5%
o 49
 
5.5%
I 46
 
5.1%
Other values (2) 92
10.3%
Common
ValueCountFrequency (%)
2994
90.0%
· 158
 
4.7%
& 125
 
3.8%
1 24
 
0.7%
5 19
 
0.6%
/ 8
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22438
84.2%
ASCII 4067
 
15.3%
None 158
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2994
73.6%
e 147
 
3.6%
R 125
 
3.1%
& 125
 
3.1%
D 125
 
3.1%
d 98
 
2.4%
G 68
 
1.7%
S 49
 
1.2%
n 49
 
1.2%
l 49
 
1.2%
Other values (7) 238
 
5.9%
Hangul
ValueCountFrequency (%)
기 1553
 
6.9%
품 883
 
3.9%
술 824
 
3.7%
산 815
 
3.6%
개 766
 
3.4%
화 694
 
3.1%
발 682
 
3.0%
농 615
 
2.7%
업 582
 
2.6%
생 579
 
2.6%
Other values (169) 14445
64.4%
None
ValueCountFrequency (%)
· 158
100.0%

과제명
Text

Distinct475
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T07:22:10.462906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length60
Mean length34.217755
Min length7

Characters and Unicode

Total characters85955
Distinct characters590
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)5.3%

Sample

1st row무 오이 호박의 빅데이터 기반 인공지능 기술을 활용한 표현체 육종 예측모델 개발
2nd row균평 정밀도 10mm@30m를 만족하는 회전식 레이저(1550nm) 균평시스템 국산화 개발 및 실증
3rd row시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발
4th row시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발
5th row마이크로바이옴 타겟 프로바이오틱스 발굴 및 소재화 기술 개발
ValueCountFrequency (%)
개발 1956
 
8.9%
및 1168
 
5.3%
시스템 534
 
2.4%
위한 396
 
1.8%
기술 358
 
1.6%
트랙터 349
 
1.6%
75kw급 337
 
1.5%
앞차축 337
 
1.5%
공용화 337
 
1.5%
기반 265
 
1.2%
Other values (1927) 15840
72.4%
2023-12-13T07:22:11.067301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19611
 
22.8%
개 2486
 
2.9%
발 2368
 
2.8%
용 1771
 
2.1%
기 1695
 
2.0%
화 1319
 
1.5%
한 1201
 
1.4%
스 1190
 
1.4%
및 1168
 
1.4%
이 987
 
1.1%
Other values (580) 52159
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61899
72.0%
Space Separator 19611
 
22.8%
Uppercase Letter 1321
 
1.5%
Decimal Number 1190
 
1.4%
Lowercase Letter 985
 
1.1%
Other Punctuation 333
 
0.4%
Close Punctuation 271
 
0.3%
Open Punctuation 270
 
0.3%
Dash Punctuation 62
 
0.1%
Initial Punctuation 5
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 2486
 
4.0%
발 2368
 
3.8%
용 1771
 
2.9%
기 1695
 
2.7%
화 1319
 
2.1%
한 1201
 
1.9%
스 1190
 
1.9%
및 1168
 
1.9%
이 987
 
1.6%
제 959
 
1.5%
Other values (511) 46755
75.5%
Uppercase Letter
ValueCountFrequency (%)
W 393
29.8%
C 127
 
9.6%
I 86
 
6.5%
R 85
 
6.4%
T 65
 
4.9%
M 61
 
4.6%
S 47
 
3.6%
D 45
 
3.4%
H 39
 
3.0%
N 38
 
2.9%
Other values (14) 335
25.4%
Lowercase Letter
ValueCountFrequency (%)
k 392
39.8%
o 82
 
8.3%
a 73
 
7.4%
m 66
 
6.7%
l 62
 
6.3%
n 47
 
4.8%
c 38
 
3.9%
e 37
 
3.8%
t 36
 
3.7%
i 33
 
3.4%
Other values (11) 119
 
12.1%
Decimal Number
ValueCountFrequency (%)
5 386
32.4%
7 342
28.7%
1 98
 
8.2%
2 92
 
7.7%
3 87
 
7.3%
0 83
 
7.0%
4 56
 
4.7%
9 27
 
2.3%
6 19
 
1.6%
Other Punctuation
ValueCountFrequency (%)
· 207
62.2%
. 88
26.4%
/ 34
 
10.2%
@ 3
 
0.9%
& 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 162
59.8%
] 109
40.2%
Open Punctuation
ValueCountFrequency (%)
( 161
59.6%
[ 109
40.4%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
= 1
33.3%
Space Separator
ValueCountFrequency (%)
19611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61899
72.0%
Common 21750
 
25.3%
Latin 2306
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 2486
 
4.0%
발 2368
 
3.8%
용 1771
 
2.9%
기 1695
 
2.7%
화 1319
 
2.1%
한 1201
 
1.9%
스 1190
 
1.9%
및 1168
 
1.9%
이 987
 
1.6%
제 959
 
1.5%
Other values (511) 46755
75.5%
Latin
ValueCountFrequency (%)
W 393
17.0%
k 392
17.0%
C 127
 
5.5%
I 86
 
3.7%
R 85
 
3.7%
o 82
 
3.6%
a 73
 
3.2%
m 66
 
2.9%
T 65
 
2.8%
l 62
 
2.7%
Other values (35) 875
37.9%
Common
ValueCountFrequency (%)
19611
90.2%
5 386
 
1.8%
7 342
 
1.6%
· 207
 
1.0%
) 162
 
0.7%
( 161
 
0.7%
[ 109
 
0.5%
] 109
 
0.5%
1 98
 
0.5%
2 92
 
0.4%
Other values (14) 473
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61899
72.0%
ASCII 23839
 
27.7%
None 207
 
0.2%
Punctuation 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19611
82.3%
W 393
 
1.6%
k 392
 
1.6%
5 386
 
1.6%
7 342
 
1.4%
) 162
 
0.7%
( 161
 
0.7%
C 127
 
0.5%
[ 109
 
0.5%
] 109
 
0.5%
Other values (56) 2047
 
8.6%
Hangul
ValueCountFrequency (%)
개 2486
 
4.0%
발 2368
 
3.8%
용 1771
 
2.9%
기 1695
 
2.7%
화 1319
 
2.1%
한 1201
 
1.9%
스 1190
 
1.9%
및 1168
 
1.9%
이 987
 
1.6%
제 959
 
1.5%
Other values (511) 46755
75.5%
None
ValueCountFrequency (%)
· 207
100.0%
Punctuation
ValueCountFrequency (%)
‘ 5
50.0%
’ 5
50.0%

연구책임자
Text

Distinct435
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T07:22:11.536060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.035828
Min length2

Characters and Unicode

Total characters7626
Distinct characters183
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)4.5%

Sample

1st row박한용
2nd row김화남
3rd row조원준
4th row조원준
5th row백현동
ValueCountFrequency (%)
구강모 337
 
13.3%
이중복 56
 
2.2%
백경훈 40
 
1.6%
우수동 39
 
1.5%
황의욱 29
 
1.1%
조성수 29
 
1.1%
박정웅 28
 
1.1%
김양선 27
 
1.1%
유승란 27
 
1.1%
유승진 25
 
1.0%
Other values (430) 1891
74.8%
2023-12-13T07:22:12.233495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 487
 
6.4%
강 399
 
5.2%
구 346
 
4.5%
모 337
 
4.4%
이 326
 
4.3%
정 201
 
2.6%
박 162
 
2.1%
진 158
 
2.1%
수 140
 
1.8%
승 131
 
1.7%
Other values (173) 4939
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7467
97.9%
Uppercase Letter 134
 
1.8%
Space Separator 16
 
0.2%
Lowercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 487
 
6.5%
강 399
 
5.3%
구 346
 
4.6%
모 337
 
4.5%
이 326
 
4.4%
정 201
 
2.7%
박 162
 
2.2%
진 158
 
2.1%
수 140
 
1.9%
승 131
 
1.8%
Other values (150) 4780
64.0%
Uppercase Letter
ValueCountFrequency (%)
A 25
18.7%
N 18
13.4%
O 17
12.7%
R 12
9.0%
H 10
 
7.5%
I 10
 
7.5%
K 9
 
6.7%
L 7
 
5.2%
E 6
 
4.5%
P 6
 
4.5%
Other values (4) 14
10.4%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
i 1
11.1%
k 1
11.1%
s 1
11.1%
n 1
11.1%
u 1
11.1%
y 1
11.1%
m 1
11.1%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7467
97.9%
Latin 143
 
1.9%
Common 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 487
 
6.5%
강 399
 
5.3%
구 346
 
4.6%
모 337
 
4.5%
이 326
 
4.4%
정 201
 
2.7%
박 162
 
2.2%
진 158
 
2.1%
수 140
 
1.9%
승 131
 
1.8%
Other values (150) 4780
64.0%
Latin
ValueCountFrequency (%)
A 25
17.5%
N 18
12.6%
O 17
11.9%
R 12
8.4%
H 10
 
7.0%
I 10
 
7.0%
K 9
 
6.3%
L 7
 
4.9%
E 6
 
4.2%
P 6
 
4.2%
Other values (12) 23
16.1%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7467
97.9%
ASCII 159
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 487
 
6.5%
강 399
 
5.3%
구 346
 
4.6%
모 337
 
4.5%
이 326
 
4.4%
정 201
 
2.7%
박 162
 
2.2%
진 158
 
2.1%
수 140
 
1.9%
승 131
 
1.8%
Other values (150) 4780
64.0%
ASCII
ValueCountFrequency (%)
A 25
15.7%
N 18
11.3%
O 17
10.7%
16
10.1%
R 12
7.5%
H 10
 
6.3%
I 10
 
6.3%
K 9
 
5.7%
L 7
 
4.4%
E 6
 
3.8%
Other values (13) 29
18.2%

주관기관
Text

Distinct341
Distinct (%)13.6%
Missing1
Missing (%)< 0.1%
Memory size19.8 KiB
2023-12-13T07:22:12.679329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.90681
Min length2

Characters and Unicode

Total characters22365
Distinct characters330
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)3.1%

Sample

1st row세종대학교산학협력단
2nd row지금강(주)
3rd row유니시스인터내셔날주식회사
4th row유니시스인터내셔날주식회사
5th row건국대학교 산학협력단
ValueCountFrequency (%)
대동기어(주 337
 
10.2%
산학협력단 306
 
9.2%
주식회사 266
 
8.0%
재단법인 74
 
2.2%
경북대학교 64
 
1.9%
농업회사법인 60
 
1.8%
충북대학교 56
 
1.7%
한국식품연구원 52
 
1.6%
농축산용미생물산업육성지원센터 48
 
1.4%
교촌중앙연구소 47
 
1.4%
Other values (347) 2002
60.4%
2023-12-13T07:22:13.387985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1634
 
7.3%
( 1284
 
5.7%
) 1284
 
5.7%
801
 
3.6%
대 769
 
3.4%
학 756
 
3.4%
산 515
 
2.3%
사 507
 
2.3%
회 487
 
2.2%
기 475
 
2.1%
Other values (320) 13853
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18931
84.6%
Open Punctuation 1284
 
5.7%
Close Punctuation 1284
 
5.7%
Space Separator 801
 
3.6%
Uppercase Letter 57
 
0.3%
Lowercase Letter 5
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1634
 
8.6%
대 769
 
4.1%
학 756
 
4.0%
산 515
 
2.7%
사 507
 
2.7%
회 487
 
2.6%
기 475
 
2.5%
이 463
 
2.4%
식 456
 
2.4%
단 425
 
2.2%
Other values (301) 12444
65.7%
Uppercase Letter
ValueCountFrequency (%)
C 22
38.6%
J 20
35.1%
G 4
 
7.0%
F 2
 
3.5%
B 2
 
3.5%
E 2
 
3.5%
N 2
 
3.5%
S 1
 
1.8%
P 1
 
1.8%
M 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
o 1
20.0%
m 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1284
100.0%
Space Separator
ValueCountFrequency (%)
801
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18931
84.6%
Common 3372
 
15.1%
Latin 62
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1634
 
8.6%
대 769
 
4.1%
학 756
 
4.0%
산 515
 
2.7%
사 507
 
2.7%
회 487
 
2.6%
기 475
 
2.5%
이 463
 
2.4%
식 456
 
2.4%
단 425
 
2.2%
Other values (301) 12444
65.7%
Latin
ValueCountFrequency (%)
C 22
35.5%
J 20
32.3%
G 4
 
6.5%
F 2
 
3.2%
B 2
 
3.2%
e 2
 
3.2%
E 2
 
3.2%
N 2
 
3.2%
S 1
 
1.6%
P 1
 
1.6%
Other values (4) 4
 
6.5%
Common
ValueCountFrequency (%)
( 1284
38.1%
) 1284
38.1%
801
23.8%
& 2
 
0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18931
84.6%
ASCII 3434
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1634
 
8.6%
대 769
 
4.1%
학 756
 
4.0%
산 515
 
2.7%
사 507
 
2.7%
회 487
 
2.6%
기 475
 
2.5%
이 463
 
2.4%
식 456
 
2.4%
단 425
 
2.2%
Other values (301) 12444
65.7%
ASCII
ValueCountFrequency (%)
( 1284
37.4%
) 1284
37.4%
801
23.3%
C 22
 
0.6%
J 20
 
0.6%
G 4
 
0.1%
F 2
 
0.1%
& 2
 
0.1%
B 2
 
0.1%
e 2
 
0.1%
Other values (9) 11
 
0.3%

기업유형
Categorical

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
중소기업
1449 
대학
333 
정부출연기관
185 
중견기업
 
129
기타
 
118
Other values (8)
298 

Length

Max length9
Median length4
Mean length3.9888535
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row대학
2nd row중소기업
3rd row중소기업
4th row중소기업
5th row대학

Common Values

ValueCountFrequency (%)
중소기업 1449
57.7%
대학 333
 
13.3%
정부출연기관 185
 
7.4%
중견기업 129
 
5.1%
기타 118
 
4.7%
중소기업연구소 112
 
4.5%
대기업 56
 
2.2%
<NA> 43
 
1.7%
정부기관 28
 
1.1%
그외 비영리기관 23
 
0.9%
Other values (3) 36
 
1.4%

Length

2023-12-13T07:22:13.521990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중소기업 1449
57.2%
대학 333
 
13.1%
정부출연기관 185
 
7.3%
중견기업 129
 
5.1%
기타 118
 
4.7%
중소기업연구소 112
 
4.4%
대기업 56
 
2.2%
na 43
 
1.7%
정부기관 28
 
1.1%
그외 23
 
0.9%
Other values (4) 59
 
2.3%

분야
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
농림식품 기계ㆍ시스템
814 
식품
612 
농림식품 융복합
349 
농산
239 
농림식품 환경생태
218 
Other values (6)
280 

Length

Max length11
Median length10
Mean length6.3889331
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농산
2nd row농림식품 기계ㆍ시스템
3rd row농림식품 융복합
4th row농림식품 융복합
5th row식품

Common Values

ValueCountFrequency (%)
농림식품 기계ㆍ시스템 814
32.4%
식품 612
24.4%
농림식품 융복합 349
13.9%
농산 239
 
9.5%
농림식품 환경생태 218
 
8.7%
수의 143
 
5.7%
축산 123
 
4.9%
농림식품 경제ㆍ사회 7
 
0.3%
융복합 3
 
0.1%
식물자원/생산 2
 
0.1%

Length

2023-12-13T07:22:13.638671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농림식품 1388
35.6%
기계ㆍ시스템 814
20.9%
식품 612
15.7%
융복합 352
 
9.0%
농산 239
 
6.1%
환경생태 218
 
5.6%
수의 143
 
3.7%
축산 123
 
3.2%
경제ㆍ사회 7
 
0.2%
식물자원/생산 2
 
0.1%

고용창출기관명
Text

Distinct549
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T07:22:13.862211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length8.0394108
Min length2

Characters and Unicode

Total characters20195
Distinct characters401
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)8.2%

Sample

1st row세종대학교 산학협력단
2nd row지금강
3rd row(주)바이오프랜즈
4th row(주)바이오프랜즈
5th row(주)녹십자웰빙
ValueCountFrequency (%)
주)대동 299
 
9.9%
주식회사 286
 
9.5%
농업회사법인 101
 
3.3%
세계김치연구소 55
 
1.8%
재)농축산용미생물산업육성지원센터 50
 
1.7%
교촌에프앤비(주 42
 
1.4%
대동기어(주 38
 
1.3%
엔씽 33
 
1.1%
산학협력단 32
 
1.1%
주)세니젠 29
 
1.0%
Other values (557) 2056
68.1%
2023-12-13T07:22:14.200900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1834
 
9.1%
) 1531
 
7.6%
( 1529
 
7.6%
이 602
 
3.0%
사 528
 
2.6%
대 520
 
2.6%
회 518
 
2.6%
509
 
2.5%
식 412
 
2.0%
스 377
 
1.9%
Other values (391) 11835
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16451
81.5%
Close Punctuation 1531
 
7.6%
Open Punctuation 1529
 
7.6%
Space Separator 509
 
2.5%
Uppercase Letter 127
 
0.6%
Other Punctuation 26
 
0.1%
Other Symbol 12
 
0.1%
Decimal Number 9
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1834
 
11.1%
이 602
 
3.7%
사 528
 
3.2%
대 520
 
3.2%
회 518
 
3.1%
식 412
 
2.5%
스 377
 
2.3%
동 371
 
2.3%
에 362
 
2.2%
농 358
 
2.2%
Other values (364) 10569
64.2%
Uppercase Letter
ValueCountFrequency (%)
C 26
20.5%
J 25
19.7%
R 15
11.8%
D 15
11.8%
S 14
11.0%
T 11
8.7%
F 3
 
2.4%
H 3
 
2.4%
B 3
 
2.4%
G 3
 
2.4%
Other values (5) 9
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
0 1
 
11.1%
8 1
 
11.1%
5 1
 
11.1%
3 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 1531
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1529
100.0%
Space Separator
ValueCountFrequency (%)
509
100.0%
Other Punctuation
ValueCountFrequency (%)
& 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16463
81.5%
Common 3605
 
17.9%
Latin 127
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1834
 
11.1%
이 602
 
3.7%
사 528
 
3.2%
대 520
 
3.2%
회 518
 
3.1%
식 412
 
2.5%
스 377
 
2.3%
동 371
 
2.3%
에 362
 
2.2%
농 358
 
2.2%
Other values (365) 10581
64.3%
Latin
ValueCountFrequency (%)
C 26
20.5%
J 25
19.7%
R 15
11.8%
D 15
11.8%
S 14
11.0%
T 11
8.7%
F 3
 
2.4%
H 3
 
2.4%
B 3
 
2.4%
G 3
 
2.4%
Other values (5) 9
 
7.1%
Common
ValueCountFrequency (%)
) 1531
42.5%
( 1529
42.4%
509
 
14.1%
& 26
 
0.7%
2 3
 
0.1%
1 2
 
0.1%
` 1
 
< 0.1%
0 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16451
81.5%
ASCII 3732
 
18.5%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1834
 
11.1%
이 602
 
3.7%
사 528
 
3.2%
대 520
 
3.2%
회 518
 
3.1%
식 412
 
2.5%
스 377
 
2.3%
동 371
 
2.3%
에 362
 
2.2%
농 358
 
2.2%
Other values (364) 10569
64.2%
ASCII
ValueCountFrequency (%)
) 1531
41.0%
( 1529
41.0%
509
 
13.6%
& 26
 
0.7%
C 26
 
0.7%
J 25
 
0.7%
R 15
 
0.4%
D 15
 
0.4%
S 14
 
0.4%
T 11
 
0.3%
Other values (16) 31
 
0.8%
None
ValueCountFrequency (%)
㈜ 12
100.0%

고용창출일
Date

Distinct215
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
Minimum2022-01-01 00:00:00
Maximum2022-11-28 00:00:00
2023-12-13T07:22:14.325808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:22:14.454128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고용형태
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
정규직
1786 
계약직
726 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row계약직
2nd row정규직
3rd row정규직
4th row정규직
5th row정규직

Common Values

ValueCountFrequency (%)
정규직 1786
71.1%
계약직 726
28.9%

Length

2023-12-13T07:22:14.561480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:22:14.637287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규직 1786
71.1%
계약직 726
28.9%

고용창출내용
Text

Distinct1156
Distinct (%)46.1%
Missing4
Missing (%)0.2%
Memory size19.8 KiB
2023-12-13T07:22:14.883809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length999
Median length269
Mean length20.531898
Min length2

Characters and Unicode

Total characters51494
Distinct characters603
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique890 ?
Unique (%)35.5%

Sample

1st row무 재배 및 관리, 교배 무 표현형 데이터 조사 및 수집
2nd row청년의무채용
3rd row신규 고용
4th row신규 고용
5th row(주)녹십자웰빙에서 정규직으로 임** 연구원 채용
ValueCountFrequency (%)
채용 647
 
4.9%
및 438
 
3.3%
사업 352
 
2.7%
따른 352
 
2.7%
확장에 335
 
2.5%
고용 311
 
2.4%
신규인원 302
 
2.3%
위한 210
 
1.6%
신규 198
 
1.5%
개발 184
 
1.4%
Other values (2894) 9818
74.7%
2023-12-13T07:22:15.294424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10804
 
21.0%
용 1509
 
2.9%
구 1018
 
2.0%
원 981
 
1.9%
인 968
 
1.9%
업 966
 
1.9%
연 963
 
1.9%
규 842
 
1.6%
채 837
 
1.6%
사 754
 
1.5%
Other values (593) 31852
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36889
71.6%
Space Separator 10804
 
21.0%
Other Punctuation 958
 
1.9%
Decimal Number 927
 
1.8%
Uppercase Letter 763
 
1.5%
Lowercase Letter 556
 
1.1%
Close Punctuation 219
 
0.4%
Open Punctuation 219
 
0.4%
Dash Punctuation 123
 
0.2%
Math Symbol 23
 
< 0.1%
Other values (2) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 1509
 
4.1%
구 1018
 
2.8%
원 981
 
2.7%
인 968
 
2.6%
업 966
 
2.6%
연 963
 
2.6%
규 842
 
2.3%
채 837
 
2.3%
사 754
 
2.0%
신 699
 
1.9%
Other values (512) 27352
74.1%
Lowercase Letter
ValueCountFrequency (%)
e 90
16.2%
o 49
 
8.8%
a 49
 
8.8%
t 49
 
8.8%
c 41
 
7.4%
l 37
 
6.7%
n 29
 
5.2%
s 28
 
5.0%
r 27
 
4.9%
i 21
 
3.8%
Other values (14) 136
24.5%
Uppercase Letter
ValueCountFrequency (%)
C 80
 
10.5%
R 71
 
9.3%
A 62
 
8.1%
S 56
 
7.3%
W 50
 
6.6%
I 50
 
6.6%
M 48
 
6.3%
D 41
 
5.4%
K 34
 
4.5%
P 33
 
4.3%
Other values (14) 238
31.2%
Other Punctuation
ValueCountFrequency (%)
, 310
32.4%
. 281
29.3%
* 169
17.6%
/ 79
 
8.2%
: 57
 
5.9%
' 26
 
2.7%
& 24
 
2.5%
· 5
 
0.5%
% 4
 
0.4%
" 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 426
46.0%
0 183
19.7%
1 147
 
15.9%
3 53
 
5.7%
4 26
 
2.8%
5 24
 
2.6%
7 21
 
2.3%
9 19
 
2.0%
6 14
 
1.5%
8 14
 
1.5%
Math Symbol
ValueCountFrequency (%)
~ 21
91.3%
+ 1
 
4.3%
> 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 217
99.1%
] 2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 217
99.1%
[ 2
 
0.9%
Other Number
ValueCountFrequency (%)
② 3
60.0%
① 2
40.0%
Space Separator
ValueCountFrequency (%)
10804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36889
71.6%
Common 13286
 
25.8%
Latin 1319
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 1509
 
4.1%
구 1018
 
2.8%
원 981
 
2.7%
인 968
 
2.6%
업 966
 
2.6%
연 963
 
2.6%
규 842
 
2.3%
채 837
 
2.3%
사 754
 
2.0%
신 699
 
1.9%
Other values (512) 27352
74.1%
Latin
ValueCountFrequency (%)
e 90
 
6.8%
C 80
 
6.1%
R 71
 
5.4%
A 62
 
4.7%
S 56
 
4.2%
W 50
 
3.8%
I 50
 
3.8%
o 49
 
3.7%
a 49
 
3.7%
t 49
 
3.7%
Other values (38) 713
54.1%
Common
ValueCountFrequency (%)
10804
81.3%
2 426
 
3.2%
, 310
 
2.3%
. 281
 
2.1%
) 217
 
1.6%
( 217
 
1.6%
0 183
 
1.4%
* 169
 
1.3%
1 147
 
1.1%
- 123
 
0.9%
Other values (23) 409
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36889
71.6%
ASCII 14594
 
28.3%
None 5
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10804
74.0%
2 426
 
2.9%
, 310
 
2.1%
. 281
 
1.9%
) 217
 
1.5%
( 217
 
1.5%
0 183
 
1.3%
* 169
 
1.2%
1 147
 
1.0%
- 123
 
0.8%
Other values (67) 1717
 
11.8%
Hangul
ValueCountFrequency (%)
용 1509
 
4.1%
구 1018
 
2.8%
원 981
 
2.7%
인 968
 
2.6%
업 966
 
2.6%
연 963
 
2.6%
규 842
 
2.3%
채 837
 
2.3%
사 754
 
2.0%
신 699
 
1.9%
Other values (512) 27352
74.1%
None
ValueCountFrequency (%)
· 5
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
60.0%
① 2
40.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

Correlations

2023-12-13T07:22:15.374953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분내역사업명없음기업유형분야고용형태
과제구분1.0001.0000.7980.8890.585
내역사업명없음1.0001.0000.8990.9220.692
기업유형0.7980.8991.0000.4400.223
분야0.8890.9220.4401.0000.337
고용형태0.5850.6920.2230.3371.000
2023-12-13T07:22:15.457155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분고용형태분야기업유형
과제구분1.0000.4990.5600.405
고용형태0.4991.0000.3230.173
분야0.5600.3231.0000.193
기업유형0.4050.1730.1931.000
2023-12-13T07:22:15.533524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분기업유형분야고용형태
과제구분1.0000.4050.5600.499
기업유형0.4051.0000.1930.173
분야0.5600.1931.0000.323
고용형태0.4990.1730.3231.000

Missing values

2023-12-13T07:22:07.467897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:22:07.676377image/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.
2023-12-13T07:22:07.798276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호과제관리번호과제구분내역사업명없음과제명연구책임자주관기관기업유형분야고용창출기관명고용창출일고용형태고용창출내용
0G2022-1322063-3디지털육종전환기술개발데이터 연계 디지털육종 활용 시스템무 오이 호박의 빅데이터 기반 인공지능 기술을 활용한 표현체 육종 예측모델 개발박한용세종대학교산학협력단대학농산세종대학교 산학협력단2022-09-01계약직무 재배 및 관리, 교배 무 표현형 데이터 조사 및 수집
1G2022-2322041-2노지분야스마트농업기술단기고도화자율주행 농기계 핵심부품 국산화균평 정밀도 10mm@30m를 만족하는 회전식 레이저(1550nm) 균평시스템 국산화 개발 및 실증김화남지금강(주)중소기업농림식품 기계ㆍ시스템지금강2022-06-10정규직청년의무채용
2G2022-3116113-2첨단생산기술개발ICT융복합시스템시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발조원준유니시스인터내셔날주식회사중소기업농림식품 융복합(주)바이오프랜즈2022-01-03정규직신규 고용
3G2022-4116113-2첨단생산기술개발ICT융복합시스템시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발조원준유니시스인터내셔날주식회사중소기업농림식품 융복합(주)바이오프랜즈2022-07-11정규직신규 고용
4G2022-5321035-5고부가가치식품기술개발미래대응식품 기술개발마이크로바이옴 타겟 프로바이오틱스 발굴 및 소재화 기술 개발백현동건국대학교 산학협력단대학식품(주)녹십자웰빙2022-03-02정규직(주)녹십자웰빙에서 정규직으로 임** 연구원 채용
5G2022-6918002-4포스트게놈 신산업육성을 위한 다부처유전체사업산업화미생물유전체전략연구반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발김양선재단법인 농축산용미생물산업육성지원센터기타축산(재)농축산용미생물산업육성지원센터2022-05-01계약직연구원
6G2022-7321110-4작물 바이러스 및 병해충 대응 산업화 기술개발내역사업명없음16. 미생물 기반 유해 토양선충 방제 제반기술 개발 및 실증 연구손광희한국생명공학연구원정부출연기관농림식품 환경생태한국생명공학연구원2022-09-01계약직학연학생
7G2022-8321056-5핵심농자재국산화기술개발작물보호제 원제·제품 국산화제초제 대체 미생물 농약 생화학농약 개발조광민(주)대승바이오팜중소기업농림식품 환경생태(주)대승바이오팜2022-09-01정규직연구개발, 신규채용
8G2022-9421044-4스마트팜다부처패키지혁신기술개발사업차세대 융합 원천축산 생력화 로봇 개발최영경주식회사 다운중소기업농림식품 기계ㆍ시스템주식회사 다운2022-05-09정규직주식회사 다운의 정규직 인력 채용
9G2022-10321081-4축산현안대응산업화기술개발가축생산효율성증진돼지 강건성과 양돈농가 생산성 증진을 위한 미생물 활용기술 개발강정선(주)진바이오텍중소기업연구소축산(주)진바이오텍2022-04-04정규직미생물 균주 스크리닝 등 과제 관련 연구 수행을 위해 고용함 * 22년 4월부터 12월까지 청년의무고용 해당(유** 대체)
번호과제관리번호과제구분내역사업명없음과제명연구책임자주관기관기업유형분야고용창출기관명고용창출일고용형태고용창출내용
2502G2022-2503213006055SB210Golden Seed 프로젝트Golden Seed 프로젝트우각형 고추 품종개발김태성(주)제농중소기업농산(주) 제농 S&T2022-11-01정규직등록
2503G2022-2504213006055SBV10Golden Seed 프로젝트Golden Seed 프로젝트고당도 씨없는 수박 품종개발 및 종자 수출김용재농업회사법인 주식회사 파트너종묘중소기업농산농업회사법인 주식회사 파트너종묘2022-02-04정규직등록
2504G2022-2505213006055SBA20Golden Seed 프로젝트Golden Seed 프로젝트뿌리혹병 고도저항성 고품질 배추 개발김완규농업회사법인 우리종묘주식회사중소기업농산농업회사법인 우리종묘(주)2022-04-11정규직등록
2505G2022-2506213006055SBW10Golden Seed 프로젝트Golden Seed 프로젝트부시(Bush)형 컬러과육 수박 품종개발박민우현대종묘(주)중소기업농산현대종묘(주)2022-08-08정규직등록
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