Overview

Dataset statistics

Number of variables7
Number of observations1143
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.9 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Text3
DateTime1
Categorical1

Dataset

Description농림수산식품 생산·가공R&D 과제 정보
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220211000000001836

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:46:27.727580
Analysis finished2023-12-11 03:46:29.679170
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean572
Minimum1
Maximum1143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T12:46:29.758511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.1
Q1286.5
median572
Q3857.5
95-th percentile1085.9
Maximum1143
Range1142
Interquartile range (IQR)571

Descriptive statistics

Standard deviation330.09998
Coefficient of variation (CV)0.57709788
Kurtosis-1.2
Mean572
Median Absolute Deviation (MAD)286
Skewness0
Sum653796
Variance108966
MonotonicityStrictly increasing
2023-12-11T12:46:29.944232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
761 1
 
0.1%
767 1
 
0.1%
766 1
 
0.1%
765 1
 
0.1%
764 1
 
0.1%
763 1
 
0.1%
762 1
 
0.1%
760 1
 
0.1%
769 1
 
0.1%
Other values (1133) 1133
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1143 1
0.1%
1142 1
0.1%
1141 1
0.1%
1140 1
0.1%
1139 1
0.1%
1138 1
0.1%
1137 1
0.1%
1136 1
0.1%
1135 1
0.1%
1134 1
0.1%

과제명
Text

Distinct951
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T12:46:30.333963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length59
Mean length32.095363
Min length7

Characters and Unicode

Total characters36685
Distinct characters616
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique804 ?
Unique (%)70.3%

Sample

1st row다양한 식품제조공정에서의 PAH제거용 흡착제의 효능 평가 및 적용
2nd row임업기술연구개발사업의 효율적 성과평가 및 연구관리 전략연구
3rd rowFood color therapy 및 초고압 공정을 적용한 이유식 개발 및 상품화
4th row고체발효기술을 활용한 발효콩 분말 및 발효콩유지 개발 및 생산
5th row고품질 안전한 과실 증류주 제조 및 각 공정의 산업화 기술 개발
ValueCountFrequency (%)
및 615
 
7.0%
개발 544
 
6.2%
이용한 233
 
2.7%
위한 152
 
1.7%
기능성 147
 
1.7%
연구 142
 
1.6%
기술 104
 
1.2%
활용한 61
 
0.7%
분석 49
 
0.6%
제품 47
 
0.5%
Other values (2900) 6670
76.1%
2023-12-11T12:46:31.073012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7638
 
20.8%
발 974
 
2.7%
기 926
 
2.5%
개 902
 
2.5%
한 657
 
1.8%
성 622
 
1.7%
및 619
 
1.7%
용 606
 
1.7%
품 604
 
1.6%
의 586
 
1.6%
Other values (606) 22551
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27052
73.7%
Space Separator 7638
 
20.8%
Lowercase Letter 1028
 
2.8%
Uppercase Letter 342
 
0.9%
Close Punctuation 188
 
0.5%
Open Punctuation 188
 
0.5%
Other Punctuation 157
 
0.4%
Decimal Number 68
 
0.2%
Dash Punctuation 22
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 974
 
3.6%
기 926
 
3.4%
개 902
 
3.3%
한 657
 
2.4%
성 622
 
2.3%
및 619
 
2.3%
용 606
 
2.2%
품 604
 
2.2%
의 586
 
2.2%
식 483
 
1.8%
Other values (533) 20073
74.2%
Lowercase Letter
ValueCountFrequency (%)
i 103
10.0%
e 103
10.0%
o 99
9.6%
a 87
 
8.5%
l 77
 
7.5%
r 70
 
6.8%
s 68
 
6.6%
t 66
 
6.4%
c 59
 
5.7%
n 53
 
5.2%
Other values (14) 243
23.6%
Uppercase Letter
ValueCountFrequency (%)
P 42
12.3%
A 34
 
9.9%
C 33
 
9.6%
G 26
 
7.6%
R 24
 
7.0%
D 22
 
6.4%
M 21
 
6.1%
B 20
 
5.8%
S 18
 
5.3%
H 17
 
5.0%
Other values (12) 85
24.9%
Other Punctuation
ValueCountFrequency (%)
, 75
47.8%
· 26
 
16.6%
/ 25
 
15.9%
. 12
 
7.6%
: 5
 
3.2%
& 4
 
2.5%
# 2
 
1.3%
' 2
 
1.3%
？ 2
 
1.3%
; 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 25
36.8%
2 20
29.4%
5 6
 
8.8%
3 6
 
8.8%
0 4
 
5.9%
8 3
 
4.4%
7 3
 
4.4%
4 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 186
98.9%
」 2
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 186
98.9%
「 2
 
1.1%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
7638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27044
73.7%
Common 8263
 
22.5%
Latin 1370
 
3.7%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 974
 
3.6%
기 926
 
3.4%
개 902
 
3.3%
한 657
 
2.4%
성 622
 
2.3%
및 619
 
2.3%
용 606
 
2.2%
품 604
 
2.2%
의 586
 
2.2%
식 483
 
1.8%
Other values (528) 20065
74.2%
Latin
ValueCountFrequency (%)
i 103
 
7.5%
e 103
 
7.5%
o 99
 
7.2%
a 87
 
6.4%
l 77
 
5.6%
r 70
 
5.1%
s 68
 
5.0%
t 66
 
4.8%
c 59
 
4.3%
n 53
 
3.9%
Other values (36) 585
42.7%
Common
ValueCountFrequency (%)
7638
92.4%
) 186
 
2.3%
( 186
 
2.3%
, 75
 
0.9%
· 26
 
0.3%
/ 25
 
0.3%
1 25
 
0.3%
- 22
 
0.3%
2 20
 
0.2%
. 12
 
0.1%
Other values (17) 48
 
0.6%
Han
ValueCountFrequency (%)
卵 3
37.5%
蓮 2
25.0%
胃 1
 
12.5%
腸 1
 
12.5%
管 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27032
73.7%
ASCII 9601
 
26.2%
None 32
 
0.1%
Compat Jamo 12
 
< 0.1%
CJK 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7638
79.6%
) 186
 
1.9%
( 186
 
1.9%
i 103
 
1.1%
e 103
 
1.1%
o 99
 
1.0%
a 87
 
0.9%
l 77
 
0.8%
, 75
 
0.8%
r 70
 
0.7%
Other values (59) 977
 
10.2%
Hangul
ValueCountFrequency (%)
발 974
 
3.6%
기 926
 
3.4%
개 902
 
3.3%
한 657
 
2.4%
성 622
 
2.3%
및 619
 
2.3%
용 606
 
2.2%
품 604
 
2.2%
의 586
 
2.2%
식 483
 
1.8%
Other values (527) 20053
74.2%
None
ValueCountFrequency (%)
· 26
81.2%
」 2
 
6.2%
「 2
 
6.2%
？ 2
 
6.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%
CJK
ValueCountFrequency (%)
卵 3
50.0%
胃 1
 
16.7%
腸 1
 
16.7%
管 1
 
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 2
100.0%

주관기관명
Text

Distinct349
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T12:46:31.612463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length22
Mean length8.0971129
Min length2

Characters and Unicode

Total characters9255
Distinct characters323
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)15.1%

Sample

1st row동국대학교(서울)
2nd row큐앤에이경영컨설팅(주)
3rd row차바이오에프앤씨
4th row(주)농심
5th row(주)배혜정도가
ValueCountFrequency (%)
농촌진흥청 310
19.9%
본청 217
 
13.9%
산학협력단 95
 
6.1%
한국식품연구원 86
 
5.5%
주식회사 20
 
1.3%
서울대학교 20
 
1.3%
국립수산과학원 17
 
1.1%
충남대학교 13
 
0.8%
충북대학교 12
 
0.8%
전남대학교 12
 
0.8%
Other values (344) 757
48.6%
2023-12-11T12:46:32.020782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 546
 
5.9%
청 534
 
5.8%
416
 
4.5%
농 412
 
4.5%
대 363
 
3.9%
교 340
 
3.7%
진 320
 
3.5%
촌 318
 
3.4%
흥 316
 
3.4%
) 252
 
2.7%
Other values (313) 5438
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8245
89.1%
Space Separator 416
 
4.5%
Close Punctuation 252
 
2.7%
Open Punctuation 252
 
2.7%
Lowercase Letter 45
 
0.5%
Uppercase Letter 31
 
0.3%
Other Punctuation 8
 
0.1%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 546
 
6.6%
청 534
 
6.5%
농 412
 
5.0%
대 363
 
4.4%
교 340
 
4.1%
진 320
 
3.9%
촌 318
 
3.9%
흥 316
 
3.8%
주 243
 
2.9%
원 235
 
2.9%
Other values (277) 4618
56.0%
Lowercase Letter
ValueCountFrequency (%)
r 7
15.6%
e 7
15.6%
u 4
8.9%
c 4
8.9%
t 4
8.9%
a 3
6.7%
i 3
6.7%
l 3
6.7%
g 2
 
4.4%
v 1
 
2.2%
Other values (7) 7
15.6%
Uppercase Letter
ValueCountFrequency (%)
C 9
29.0%
J 9
29.0%
B 3
 
9.7%
F 3
 
9.7%
A 2
 
6.5%
S 2
 
6.5%
R 1
 
3.2%
D 1
 
3.2%
U 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 1
16.7%
5 1
16.7%
9 1
16.7%
0 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
& 3
37.5%
Space Separator
ValueCountFrequency (%)
416
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8243
89.1%
Common 934
 
10.1%
Latin 76
 
0.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 546
 
6.6%
청 534
 
6.5%
농 412
 
5.0%
대 363
 
4.4%
교 340
 
4.1%
진 320
 
3.9%
촌 318
 
3.9%
흥 316
 
3.8%
주 243
 
2.9%
원 235
 
2.9%
Other values (275) 4616
56.0%
Latin
ValueCountFrequency (%)
C 9
 
11.8%
J 9
 
11.8%
r 7
 
9.2%
e 7
 
9.2%
u 4
 
5.3%
c 4
 
5.3%
t 4
 
5.3%
a 3
 
3.9%
i 3
 
3.9%
B 3
 
3.9%
Other values (16) 23
30.3%
Common
ValueCountFrequency (%)
416
44.5%
) 252
27.0%
( 252
27.0%
. 5
 
0.5%
& 3
 
0.3%
1 2
 
0.2%
2 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
0 1
 
0.1%
Han
ValueCountFrequency (%)
高 1
50.0%
硏 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8243
89.1%
ASCII 1010
 
10.9%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 546
 
6.6%
청 534
 
6.5%
농 412
 
5.0%
대 363
 
4.4%
교 340
 
4.1%
진 320
 
3.9%
촌 318
 
3.9%
흥 316
 
3.8%
주 243
 
2.9%
원 235
 
2.9%
Other values (275) 4616
56.0%
ASCII
ValueCountFrequency (%)
416
41.2%
) 252
25.0%
( 252
25.0%
C 9
 
0.9%
J 9
 
0.9%
r 7
 
0.7%
e 7
 
0.7%
. 5
 
0.5%
u 4
 
0.4%
c 4
 
0.4%
Other values (26) 45
 
4.5%
CJK
ValueCountFrequency (%)
高 1
50.0%
硏 1
50.0%

총연구기간_시작일
Date

Distinct81
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2007-01-01 00:00:00
Maximum2013-12-24 00:00:00
2023-12-11T12:46:32.204086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:46:32.347998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총연구기간_종료일
Text

Distinct81
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T12:46:32.604619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters11430
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.3%

Sample

1st row2015-12-20
2nd row2013-06-20
3rd row2014-12-17
4th row2014-12-17
5th row2015-12-17
ValueCountFrequency (%)
2012-12-31 240
21.0%
2013-12-31 138
12.1%
2014-12-31 102
 
8.9%
2013-06-30 73
 
6.4%
2012-04-09 69
 
6.0%
2011-12-31 61
 
5.3%
2014-12-25 49
 
4.3%
2014-08-18 43
 
3.8%
2014-09-28 31
 
2.7%
2015-08-07 29
 
2.5%
Other values (71) 308
26.9%
2023-12-11T12:46:33.083944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2765
24.2%
2 2390
20.9%
- 2286
20.0%
0 1801
15.8%
3 982
 
8.6%
4 402
 
3.5%
8 196
 
1.7%
5 182
 
1.6%
9 166
 
1.5%
6 150
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9144
80.0%
Dash Punctuation 2286
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2765
30.2%
2 2390
26.1%
0 1801
19.7%
3 982
 
10.7%
4 402
 
4.4%
8 196
 
2.1%
5 182
 
2.0%
9 166
 
1.8%
6 150
 
1.6%
7 110
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 2286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2765
24.2%
2 2390
20.9%
- 2286
20.0%
0 1801
15.8%
3 982
 
8.6%
4 402
 
3.5%
8 196
 
1.7%
5 182
 
1.6%
9 166
 
1.5%
6 150
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2765
24.2%
2 2390
20.9%
- 2286
20.0%
0 1801
15.8%
3 982
 
8.6%
4 402
 
3.5%
8 196
 
1.7%
5 182
 
1.6%
9 166
 
1.5%
6 150
 
1.3%

총연구비(백만원)
Real number (ℝ)

Distinct192
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.40949
Minimum5
Maximum1500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T12:46:33.285551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile30
Q159.3675
median100
Q3160
95-th percentile349.24
Maximum1500
Range1495
Interquartile range (IQR)100.6325

Descriptive statistics

Standard deviation143.33511
Coefficient of variation (CV)1.0431238
Kurtosis25.89135
Mean137.40949
Median Absolute Deviation (MAD)50
Skewness4.1512037
Sum157059.04
Variance20544.954
MonotonicityNot monotonic
2023-12-11T12:46:33.480219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 80
 
7.0%
50.0 70
 
6.1%
80.0 56
 
4.9%
70.0 54
 
4.7%
30.0 51
 
4.5%
40.0 50
 
4.4%
60.0 45
 
3.9%
150.0 44
 
3.8%
120.0 41
 
3.6%
130.0 38
 
3.3%
Other values (182) 614
53.7%
ValueCountFrequency (%)
5.0 1
 
0.1%
10.0 4
 
0.3%
15.0 4
 
0.3%
17.0 3
 
0.3%
17.5 1
 
0.1%
19.0 2
 
0.2%
20.0 10
0.9%
22.0 1
 
0.1%
22.2 1
 
0.1%
23.0 2
 
0.2%
ValueCountFrequency (%)
1500.0 2
0.2%
1250.0 1
 
0.1%
1080.0 1
 
0.1%
1055.0 1
 
0.1%
1000.0 4
0.3%
800.0 1
 
0.1%
794.055 1
 
0.1%
770.0 1
 
0.1%
700.0 3
0.3%
685.0 1
 
0.1%

사업명
Categorical

Distinct42
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
고부가가치식품기술개발
322 
농업현장실용화기술개발
154 
고부가가치식품기술개발['10신규]
129 
농업기술경영연구
70 
국책기술개발
67 
Other values (37)
401 

Length

Max length25
Median length22
Mean length11.018373
Min length6

Unique

Unique7 ?
Unique (%)0.6%

Sample

1st row수출전략기술개발사업
2nd row임업기술연구개발사업
3rd row고부가가치식품기술개발
4th row고부가가치식품기술개발
5th row고부가가치식품기술개발

Common Values

ValueCountFrequency (%)
고부가가치식품기술개발 322
28.2%
농업현장실용화기술개발 154
13.5%
고부가가치식품기술개발['10신규] 129
11.3%
농업기술경영연구 70
 
6.1%
국책기술개발 67
 
5.9%
농식품자원연구 50
 
4.4%
농산물안전성연구 44
 
3.8%
농식품위해요소안전관리기반 및 평가체계구축 39
 
3.4%
차세대바이오그린21 32
 
2.8%
생명산업기술개발 21
 
1.8%
Other values (32) 215
18.8%

Length

2023-12-11T12:46:33.652474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고부가가치식품기술개발 322
26.1%
농업현장실용화기술개발 154
12.5%
고부가가치식품기술개발['10신규 129
10.5%
농업기술경영연구 70
 
5.7%
국책기술개발 67
 
5.4%
농식품자원연구 50
 
4.1%
농산물안전성연구 44
 
3.6%
농식품위해요소안전관리기반 39
 
3.2%
및 39
 
3.2%
평가체계구축 39
 
3.2%
Other values (36) 280
22.7%

Interactions

2023-12-11T12:46:29.238917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:46:28.946261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:46:29.343846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:46:29.085588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:46:33.753153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
순번1.0000.9850.9270.3520.792
총연구기간_시작일0.9851.0000.9990.8230.966
총연구기간_종료일0.9270.9991.0000.8800.963
총연구비(백만원)0.3520.8230.8801.0000.759
사업명0.7920.9660.9630.7591.000
2023-12-11T12:46:33.865346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총연구비(백만원)사업명
순번1.0000.2290.410
총연구비(백만원)0.2291.0000.374
사업명0.4100.3741.000

Missing values

2023-12-11T12:46:29.484771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:46:29.626178image/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
01다양한 식품제조공정에서의 PAH제거용 흡착제의 효능 평가 및 적용동국대학교(서울)2012-12-212015-12-20130.0수출전략기술개발사업
12임업기술연구개발사업의 효율적 성과평가 및 연구관리 전략연구큐앤에이경영컨설팅(주)2012-12-202013-06-2080.0임업기술연구개발사업
23Food color therapy 및 초고압 공정을 적용한 이유식 개발 및 상품화차바이오에프앤씨2012-12-182014-12-17130.0고부가가치식품기술개발
34고체발효기술을 활용한 발효콩 분말 및 발효콩유지 개발 및 생산(주)농심2012-12-182014-12-17150.0고부가가치식품기술개발
45고품질 안전한 과실 증류주 제조 및 각 공정의 산업화 기술 개발(주)배혜정도가2012-12-182015-12-17280.0고부가가치식품기술개발
56농산물 안전성 제고를 위한 휴대용 잔류농약 검출기 개발중앙대학교(서울)2012-12-182015-12-17400.0첨단기술개발사업
67농수축산물 V-Store 기반기술 개발동국대학교 산학협력단2012-12-182015-12-17500.0첨단기술개발사업
78농식품 이동형 방사능 측정 장비 및 신속분석법 개발한국원자력연구원2012-12-182015-12-17500.0첨단기술개발사업
89닭고기 자동조합개량, 포장장치개발오성시스템2012-12-182014-12-17330.0고부가가치식품기술개발
910레몬, 황칠나무의 체내 중금속 배출, 항산화기능 연구 및 제품개발(주)이푸른2012-12-182014-12-17170.0고부가가치식품기술개발
순번과제명주관기관명총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
11331134모유에서 분리한 Lactobacillus gasseri BNR17의 면역 증강 및 혈당 저하능을 이용한 기능성원료 인정 및 제품화(주)바이오니아2011-08-192014-08-18100.0고부가가치식품기술개발
11341135제주산 농산가공부산물로부터 bioconversion을 통한 체지방 감소 및 면역증강 기능의 고부가 기능성 식품소재 개발과 산업화(주)비케이바이오2011-08-192014-08-18130.0고부가가치식품기술개발
11351136저온 가공 기술의 적용을 통한 국내 농산물 기반 생식 제품의 고부가가치화(주)이롬2011-08-192014-08-18100.0고부가가치식품기술개발
11361137곤충자원의 식ㆍ약용 소재화를 위한 약리성 검정 및 독성평가국립농업과학원2011-08-192014-08-18400.0생명산업기술개발
11371138첨단 소재와 기술을 이용한 건강기능성 향상 치즈의 개발(세부1. 기능성 치즈 제조를 위한 건강 기능성 소재의 개발)(주)동원 F&B2011-08-192014-08-1885.0고부가가치식품기술개발
11381139기능성 들깻잎 추출물을 이용한 간보호 건강기능식품 소재 등록 및 제품화 기술개발바이오버드2011-08-192014-08-18100.0고부가가치식품기술개발
11391140향미가 증진된 고기능성 현미발효물과 응용제품 개발샘표식품(주)2011-08-192014-08-18120.0고부가가치식품기술개발
11401141발효에 의한 희귀 진세노사이드 생산과 이들 성분이 증강된 기능성 홍삼제품 개발한방바이오(주)2011-08-192014-08-18100.0고부가가치식품기술개발
11411142저알레르기 대두 발효기술개발 및 제품화양지푸드2011-08-192014-08-1880.0고부가가치식품기술개발
11421143유전체 분석을 활용한 전통 발효식품의 기능성 표준화 연구중앙대학교 산학협력단2009-04-102014-04-09500.0고부가가치식품기술개발