Overview

Dataset statistics

Number of variables10
Number of observations218
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.6 KiB
Average record size in memory82.6 B

Variable types

Numeric1
Text3
Categorical3
DateTime3

Dataset

Description해양수산 분야의 R&D 공고 목록(공고번호, 공고명, 예산년도, 사업명, 공고시작일, 접수 시작일, 공고/접수 종료일, 상태, 공고담당자)
URLhttps://www.data.go.kr/data/15104445/fileData.do

Alerts

순번 is highly overall correlated with 예산년도High correlation
예산년도 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
공고담당자 is highly overall correlated with 예산년도High correlation
상태 is highly imbalanced (84.2%)Imbalance
순번 has unique valuesUnique
공고번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:19:23.829040
Analysis finished2023-12-12 03:19:24.848192
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct218
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.5
Minimum1
Maximum218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T12:19:24.957320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.85
Q155.25
median109.5
Q3163.75
95-th percentile207.15
Maximum218
Range217
Interquartile range (IQR)108.5

Descriptive statistics

Standard deviation63.075352
Coefficient of variation (CV)0.57603061
Kurtosis-1.2
Mean109.5
Median Absolute Deviation (MAD)54.5
Skewness0
Sum23871
Variance3978.5
MonotonicityStrictly increasing
2023-12-12T12:19:25.141200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
151 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
147 1
 
0.5%
Other values (208) 208
95.4%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
218 1
0.5%
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%

공고번호
Text

UNIQUE 

Distinct218
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T12:19:25.471095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.0412844
Min length8

Characters and Unicode

Total characters1971
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)100.0%

Sample

1st row제2023-81호
2nd row제2023-19호
3rd row제2022-310호
4th row제2022-301호
5th row제2022-207호
ValueCountFrequency (%)
제2023-81호 1
 
0.5%
제2021-18호 1
 
0.5%
제2021-30호 1
 
0.5%
제2020-42호 1
 
0.5%
제2021-29호 1
 
0.5%
제2021-26호 1
 
0.5%
제2021-25호 1
 
0.5%
제2021-24호 1
 
0.5%
제2021-23호 1
 
0.5%
제2021-22호 1
 
0.5%
Other values (208) 208
95.4%
2023-12-12T12:19:25.989063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 530
26.9%
0 286
14.5%
218
11.1%
- 218
11.1%
218
11.1%
1 164
 
8.3%
9 82
 
4.2%
3 51
 
2.6%
4 50
 
2.5%
8 42
 
2.1%
Other values (3) 112
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1317
66.8%
Other Letter 436
 
22.1%
Dash Punctuation 218
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 530
40.2%
0 286
21.7%
1 164
 
12.5%
9 82
 
6.2%
3 51
 
3.9%
4 50
 
3.8%
8 42
 
3.2%
6 41
 
3.1%
5 39
 
3.0%
7 32
 
2.4%
Other Letter
ValueCountFrequency (%)
218
50.0%
218
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1535
77.9%
Hangul 436
 
22.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 530
34.5%
0 286
18.6%
- 218
14.2%
1 164
 
10.7%
9 82
 
5.3%
3 51
 
3.3%
4 50
 
3.3%
8 42
 
2.7%
6 41
 
2.7%
5 39
 
2.5%
Hangul
ValueCountFrequency (%)
218
50.0%
218
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1535
77.9%
Hangul 436
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 530
34.5%
0 286
18.6%
- 218
14.2%
1 164
 
10.7%
9 82
 
5.3%
3 51
 
3.3%
4 50
 
3.3%
8 42
 
2.7%
6 41
 
2.7%
5 39
 
2.5%
Hangul
ValueCountFrequency (%)
218
50.0%
218
50.0%
Distinct212
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T12:19:26.374705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length54.5
Mean length42.775229
Min length16

Characters and Unicode

Total characters9325
Distinct characters281
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

Unique206 ?
Unique (%)94.5%

Sample

1st row2023년 공동활용 참여기관 연구시설 장비 고도화 지원과제
2nd row해양수산 도전적 R&D 시범사업
3rd row(수정공고)2023년 해양수산 연구인프라 공동활용 지원사업 신규과제 선정계획 공고
4th row2023년 해양수산 연구인프라 공동활용 지원사업 신규과제 선정계획 공고
5th row한국형 위성항법시스템(KPS) 개발
ValueCountFrequency (%)
선정계획 209
 
10.9%
신규과제 200
 
10.5%
공고 132
 
6.9%
2022년도 77
 
4.0%
재공고 76
 
4.0%
71
 
3.7%
기술개발사업 63
 
3.3%
2021년도 58
 
3.0%
사업 36
 
1.9%
2020년도 33
 
1.7%
Other values (333) 954
50.0%
2023-12-12T12:19:27.027162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1721
 
18.5%
2 472
 
5.1%
262
 
2.8%
259
 
2.8%
0 246
 
2.6%
241
 
2.6%
237
 
2.5%
234
 
2.5%
229
 
2.5%
227
 
2.4%
Other values (271) 5197
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6588
70.6%
Space Separator 1721
 
18.5%
Decimal Number 847
 
9.1%
Uppercase Letter 55
 
0.6%
Lowercase Letter 43
 
0.5%
Close Punctuation 24
 
0.3%
Open Punctuation 24
 
0.3%
Dash Punctuation 14
 
0.2%
Other Punctuation 7
 
0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
262
 
4.0%
259
 
3.9%
241
 
3.7%
237
 
3.6%
234
 
3.6%
229
 
3.5%
227
 
3.4%
224
 
3.4%
221
 
3.4%
220
 
3.3%
Other values (230) 4234
64.3%
Uppercase Letter
ValueCountFrequency (%)
I 13
23.6%
T 7
12.7%
M 6
10.9%
O 6
10.9%
N 4
 
7.3%
S 3
 
5.5%
P 3
 
5.5%
L 2
 
3.6%
G 2
 
3.6%
B 2
 
3.6%
Other values (5) 7
12.7%
Lowercase Letter
ValueCountFrequency (%)
u 6
14.0%
c 6
14.0%
p 6
14.0%
e 6
14.0%
l 6
14.0%
a 6
14.0%
s 4
9.3%
o 3
7.0%
Decimal Number
ValueCountFrequency (%)
2 472
55.7%
0 246
29.0%
1 94
 
11.1%
9 31
 
3.7%
3 4
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 16
66.7%
] 6
 
25.0%
2
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 16
66.7%
[ 6
 
25.0%
2
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
· 2
28.6%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1721
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6588
70.6%
Common 2639
28.3%
Latin 98
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
262
 
4.0%
259
 
3.9%
241
 
3.7%
237
 
3.6%
234
 
3.6%
229
 
3.5%
227
 
3.4%
224
 
3.4%
221
 
3.4%
220
 
3.3%
Other values (230) 4234
64.3%
Latin
ValueCountFrequency (%)
I 13
13.3%
T 7
 
7.1%
M 6
 
6.1%
u 6
 
6.1%
O 6
 
6.1%
c 6
 
6.1%
p 6
 
6.1%
e 6
 
6.1%
l 6
 
6.1%
a 6
 
6.1%
Other values (13) 30
30.6%
Common
ValueCountFrequency (%)
1721
65.2%
2 472
 
17.9%
0 246
 
9.3%
1 94
 
3.6%
9 31
 
1.2%
) 16
 
0.6%
( 16
 
0.6%
- 14
 
0.5%
[ 6
 
0.2%
] 6
 
0.2%
Other values (8) 17
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6588
70.6%
ASCII 2729
29.3%
None 6
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1721
63.1%
2 472
 
17.3%
0 246
 
9.0%
1 94
 
3.4%
9 31
 
1.1%
) 16
 
0.6%
( 16
 
0.6%
- 14
 
0.5%
I 13
 
0.5%
T 7
 
0.3%
Other values (26) 99
 
3.6%
Hangul
ValueCountFrequency (%)
262
 
4.0%
259
 
3.9%
241
 
3.7%
237
 
3.6%
234
 
3.6%
229
 
3.5%
227
 
3.4%
224
 
3.4%
221
 
3.4%
220
 
3.3%
Other values (230) 4234
64.3%
None
ValueCountFrequency (%)
2
33.3%
2
33.3%
· 2
33.3%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

예산년도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022
80 
2021
64 
2020
36 
2019
34 
2023
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2022

Common Values

ValueCountFrequency (%)
2022 80
36.7%
2021 64
29.4%
2020 36
16.5%
2019 34
15.6%
2023 4
 
1.8%

Length

2023-12-12T12:19:27.192072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:19:27.349358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 80
36.7%
2021 64
29.4%
2020 36
16.5%
2019 34
15.6%
2023 4
 
1.8%
Distinct101
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T12:19:27.694044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length19.963303
Min length8

Characters and Unicode

Total characters4352
Distinct characters268
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

Unique27 ?
Unique (%)12.4%

Sample

1st row해양수산산업 핵심 기자재 국산화 및 표준화 기술개발
2nd row해양수산 도전적 R&D 시범사업
3rd row해양수산산업 핵심 기자재 국산화 및 표준화 기술개발
4th row해양수산산업 핵심 기자재 국산화 및 표준화 기술개발
5th row한국형 위성항법시스템(KPS) 개발
ValueCountFrequency (%)
기술개발 82
 
8.1%
72
 
7.1%
개발 55
 
5.4%
스마트 18
 
1.8%
구축 16
 
1.6%
기반 15
 
1.5%
연구 14
 
1.4%
해양 12
 
1.2%
지원 12
 
1.2%
시스템 11
 
1.1%
Other values (271) 708
69.8%
2023-12-12T12:19:28.359428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
799
 
18.4%
197
 
4.5%
174
 
4.0%
170
 
3.9%
142
 
3.3%
122
 
2.8%
93
 
2.1%
87
 
2.0%
72
 
1.7%
69
 
1.6%
Other values (258) 2427
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3415
78.5%
Space Separator 799
 
18.4%
Uppercase Letter 57
 
1.3%
Lowercase Letter 27
 
0.6%
Open Punctuation 14
 
0.3%
Close Punctuation 14
 
0.3%
Dash Punctuation 12
 
0.3%
Other Punctuation 8
 
0.2%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
197
 
5.8%
174
 
5.1%
170
 
5.0%
142
 
4.2%
122
 
3.6%
93
 
2.7%
87
 
2.5%
72
 
2.1%
69
 
2.0%
66
 
1.9%
Other values (227) 2223
65.1%
Uppercase Letter
ValueCountFrequency (%)
I 13
22.8%
T 7
12.3%
O 6
10.5%
M 6
10.5%
S 5
 
8.8%
N 4
 
7.0%
P 3
 
5.3%
L 2
 
3.5%
G 2
 
3.5%
C 2
 
3.5%
Other values (5) 7
12.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.8%
l 4
14.8%
c 4
14.8%
p 4
14.8%
u 4
14.8%
a 4
14.8%
o 3
11.1%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
· 3
37.5%
& 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
0 2
33.3%
Space Separator
ValueCountFrequency (%)
799
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3415
78.5%
Common 853
 
19.6%
Latin 84
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
197
 
5.8%
174
 
5.1%
170
 
5.0%
142
 
4.2%
122
 
3.6%
93
 
2.7%
87
 
2.5%
72
 
2.1%
69
 
2.0%
66
 
1.9%
Other values (227) 2223
65.1%
Latin
ValueCountFrequency (%)
I 13
15.5%
T 7
 
8.3%
O 6
 
7.1%
M 6
 
7.1%
S 5
 
6.0%
e 4
 
4.8%
N 4
 
4.8%
l 4
 
4.8%
c 4
 
4.8%
p 4
 
4.8%
Other values (12) 27
32.1%
Common
ValueCountFrequency (%)
799
93.7%
( 14
 
1.6%
) 14
 
1.6%
- 12
 
1.4%
, 4
 
0.5%
2 4
 
0.5%
· 3
 
0.4%
0 2
 
0.2%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3415
78.5%
ASCII 934
 
21.5%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
799
85.5%
( 14
 
1.5%
) 14
 
1.5%
I 13
 
1.4%
- 12
 
1.3%
T 7
 
0.7%
O 6
 
0.6%
M 6
 
0.6%
S 5
 
0.5%
e 4
 
0.4%
Other values (20) 54
 
5.8%
Hangul
ValueCountFrequency (%)
197
 
5.8%
174
 
5.1%
170
 
5.0%
142
 
4.2%
122
 
3.6%
93
 
2.7%
87
 
2.5%
72
 
2.1%
69
 
2.0%
66
 
1.9%
Other values (227) 2223
65.1%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct104
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2019-01-14 00:00:00
Maximum2023-05-09 00:00:00
2023-12-12T12:19:28.577586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:19:28.813446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct115
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2019-01-21 00:00:00
Maximum2023-05-09 00:00:00
2023-12-12T12:19:29.050319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:19:29.302898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct105
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2019-02-12 12:00:00
Maximum2023-05-18 11:00:00
2023-12-12T12:19:29.495219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:19:30.096079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
접수종료
213 
공고취소
 
5

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수종료 213
97.7%
공고취소 5
 
2.3%

Length

2023-12-12T12:19:30.278860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:19:30.468809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수종료 213
97.7%
공고취소 5
 
2.3%

공고담당자
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
이*나
 
14
이*현
 
12
이*늘
 
11
이*영
 
10
정*형
 
10
Other values (40)
161 

Length

Max length5
Median length3
Mean length2.9633028
Min length2

Unique

Unique6 ?
Unique (%)2.8%

Sample

1st row한*영
2nd row정*형
3rd row한*영
4th row한*영
5th row유*찬

Common Values

ValueCountFrequency (%)
이*나 14
 
6.4%
이*현 12
 
5.5%
이*늘 11
 
5.0%
이*영 10
 
4.6%
정*형 10
 
4.6%
오*승 9
 
4.1%
음*진 7
 
3.2%
하*호 7
 
3.2%
박*배 7
 
3.2%
송*규 7
 
3.2%
Other values (35) 124
56.9%

Length

2023-12-12T12:19:30.648586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이*나 14
 
6.4%
이*현 12
 
5.5%
이*늘 11
 
5.0%
이*영 10
 
4.6%
정*형 10
 
4.6%
오*승 9
 
4.1%
음*진 7
 
3.2%
하*호 7
 
3.2%
박*배 7
 
3.2%
송*규 7
 
3.2%
Other values (35) 124
56.9%

Interactions

2023-12-12T12:19:24.438510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:19:30.774595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번예산년도상태공고담당자
순번1.0000.9800.0380.769
예산년도0.9801.0000.0570.911
상태0.0380.0571.0000.201
공고담당자0.7690.9110.2011.000
2023-12-12T12:19:30.935390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태예산년도공고담당자
상태1.0000.0690.147
예산년도0.0691.0000.592
공고담당자0.1470.5921.000
2023-12-12T12:19:31.088527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번예산년도상태공고담당자
순번1.0000.7900.0250.347
예산년도0.7901.0000.0690.592
상태0.0250.0691.0000.147
공고담당자0.3470.5920.1471.000

Missing values

2023-12-12T12:19:24.591751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:19:24.767387image/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

순번공고번호공고명예산년도사업명공고시작일접수시작일공고_접수종료일시상태공고담당자
01제2023-81호2023년 공동활용 참여기관 연구시설 장비 고도화 지원과제2023해양수산산업 핵심 기자재 국산화 및 표준화 기술개발2023-05-092023-05-092023-05-18 11:00접수종료한*영
12제2023-19호해양수산 도전적 R&D 시범사업2023해양수산 도전적 R&D 시범사업2023-02-022023-02-022023-02-10 06:00접수종료정*형
23제2022-310호(수정공고)2023년 해양수산 연구인프라 공동활용 지원사업 신규과제 선정계획 공고2023해양수산산업 핵심 기자재 국산화 및 표준화 기술개발2022-10-312022-11-222022-11-29 04:00접수종료한*영
34제2022-301호2023년 해양수산 연구인프라 공동활용 지원사업 신규과제 선정계획 공고2023해양수산산업 핵심 기자재 국산화 및 표준화 기술개발2022-10-312022-11-222022-11-29 04:00접수종료한*영
45제2022-207호한국형 위성항법시스템(KPS) 개발2022한국형 위성항법시스템(KPS) 개발2022-06-222022-06-222022-06-27 06:00접수종료유*찬
56제2022-141호2022년도 친환경선박 전주기 혁신기술 개발사업 신규과제 선정계획 재공고2022친환경 선박 전주기 혁신기술개발2022-04-082022-04-082022-04-14 04:00접수종료장*원
67제2022-127호2022년도 해양재생에너지 연계 그린수소 생산기술 개발사업 신규과제 선정계획 재공고2022해양재생에너지 연계 그린수소 생산기술개발2022-04-042022-04-042022-04-12 04:00접수종료이*영
78제2022-117호2022년도 해상풍력, 수산업, 환경공존 기술개발사업 신규과제 선정계획 재공고2022해상풍력, 수산업, 환경 공존 기술개발2022-03-302022-03-302022-04-06 05:00접수종료이*현
89제2022-108호2022년도 해양바이오 산업소재 국산화 기술개발사업 신규과제 선정계획 재공고2022해양바이오 산업소재 국산화 기술개발2022-03-162022-03-162022-03-29 04:00접수종료송*숙
910제2022-107호2022년도 유수식 디지털양식 혁신기술개발사업 신규과제 선정계획 재공고2022유수식 디지털양식 혁신기술개발2022-03-112022-03-112022-03-18 04:00접수종료김*주
순번공고번호공고명예산년도사업명공고시작일접수시작일공고_접수종료일시상태공고담당자
208209제2019-14호2019년도 선박 배출 미세먼지 통합 저감기술개발사업 신규과제 선정계획 공고2019선박배출 미세먼지 통합저감 기술개발2019-02-012019-02-222019-03-04 06:00접수종료한*훈
209210제2019-13호2019년도 IMO 선박 국제규제 선도기술개발사업 자유공모 신규과제 선정계획 공고2019IMO 선박 국제규제 선도기술개발2019-02-012019-02-222019-03-04 06:00접수종료한*훈
210211제2019-12호2019년도 IoT 기반 지능형 항만물류 기술개발사업 신규과제 선정계획 공고2019IoT 기반 지능형 항만물류 기술개발2019-01-292019-02-182019-02-28 06:00접수종료강*우
211212제2019-9호2019년도 LNG 벙커링 핵심기술개발 및 체계구축사업 신규과제 선정계획 공고2019LNG 벙커링 핵심기술 개발 및 체계 구축2019-01-232019-02-142019-02-22 06:00접수종료윤*로
212213제2019-8호2019년도 조류발전 청정재생에너지시스템 개발사업 신규과제 선정계획 공고2019조류발전 청정재생에너지시스템 개발2019-01-222019-02-142019-02-21 06:00접수종료김*송
213214제2019-7호2019년도 해양산업 수요기반 기술개발사업 (해양산업 사업화연계 기술개발) 선정계획 공고2019해양산업 수요기반 기술개발2019-01-222019-02-152019-02-22 04:00접수종료김*희
214215제2019-6호2019년도 해양산업 수요기반 기술개발사업 ‘해양산업 성장 기술개발’ 선정계획 공고2019해양산업 수요기반 기술개발2019-01-222019-02-152019-02-22 04:00접수종료김*희
215216제2019-5호2019년도 차세대 수산물 품질관리 및 검역시스템 구축사업 신규과제 선정계획 공고2019차세대 수산물 품질관리 및 검역시스템 구축2019-01-212019-02-012019-02-20 04:00접수종료정*형
216217제2019-4호2019년도 극지 및 대양과학연구사업 신규과제 선정계획 공고2019극지 및 대양과학연구2019-01-162019-02-072019-02-14 06:00접수종료장*선
217218제2019-3호2019년도 해양바이오 전략소재 개발 및 상용화 지원 사업 신규과제 선정계획 공고2019해양 바이오 전략소재 개발 및 상용화2019-01-142019-01-212019-02-18 04:00접수종료박*광벤노