Overview

Dataset statistics

Number of variables19
Number of observations550
Missing cells650
Missing cells (%)6.2%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory83.9 KiB
Average record size in memory156.2 B

Variable types

Categorical6
Numeric3
Text9
DateTime1

Dataset

Description해양수산 RND 특허 목록 파일로서 특허를 등록한 기관의 참여과제 정보와 출원명, 출원(등록)국가, 출원(등록)기관, 출원번호, 등록번호 등의 특허 정보 제공 파일
Author해양수산과학기술진흥원
URLhttps://www.data.go.kr/data/15121145/fileData.do

Alerts

상태 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
예산년도 is highly overall correlated with 성과년도High correlation
성과년도 is highly overall correlated with 예산년도High correlation
성과년도 is highly imbalanced (68.0%)Imbalance
과제구분 is highly imbalanced (51.1%)Imbalance
출원(등록)국가 is highly imbalanced (79.2%)Imbalance
기여율(퍼센트) has 203 (36.9%) missing valuesMissing
출원번호 has 32 (5.8%) missing valuesMissing
등록번호 has 415 (75.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:02:33.680393
Analysis finished2023-12-12 03:02:37.635358
Duration3.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

성과년도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2022
490 
2021
 
32
2020
 
23
2023
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 490
89.1%
2021 32
 
5.8%
2020 23
 
4.2%
2023 5
 
0.9%

Length

2023-12-12T12:02:37.711118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:37.849483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 490
89.1%
2021 32
 
5.8%
2020 23
 
4.2%
2023 5
 
0.9%

예산년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.7836
Minimum2018
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T12:02:37.980623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2018
5-th percentile2021
Q12022
median2022
Q32022
95-th percentile2022
Maximum2023
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58402025
Coefficient of variation (CV)0.00028886387
Kurtosis11.835194
Mean2021.7836
Median Absolute Deviation (MAD)0
Skewness-3.0642431
Sum1111981
Variance0.34107965
MonotonicityNot monotonic
2023-12-12T12:02:38.142028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 459
83.5%
2021 61
 
11.1%
2020 23
 
4.2%
2018 3
 
0.5%
2023 3
 
0.5%
2019 1
 
0.2%
ValueCountFrequency (%)
2018 3
 
0.5%
2019 1
 
0.2%
2020 23
 
4.2%
2021 61
 
11.1%
2022 459
83.5%
2023 3
 
0.5%
ValueCountFrequency (%)
2023 3
 
0.5%
2022 459
83.5%
2021 61
 
11.1%
2020 23
 
4.2%
2019 1
 
0.2%
2018 3
 
0.5%

과제접수번호
Real number (ℝ)

Distinct160
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20202637
Minimum20120065
Maximum20220634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T12:02:38.344185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120065
5-th percentile20170282
Q120200450
median20210382
Q320210659
95-th percentile20220569
Maximum20220634
Range100569
Interquartile range (IQR)10209

Descriptive statistics

Standard deviation17483.033
Coefficient of variation (CV)0.00086538367
Kurtosis1.3787606
Mean20202637
Median Absolute Deviation (MAD)9767
Skewness-1.3762999
Sum1.1111451 × 1010
Variance3.0565643 × 108
MonotonicityNot monotonic
2023-12-12T12:02:38.571149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170305 38
 
6.9%
20200615 25
 
4.5%
20210656 20
 
3.6%
20210671 17
 
3.1%
20160270 14
 
2.5%
20220583 12
 
2.2%
20210631 11
 
2.0%
20200599 11
 
2.0%
20210547 10
 
1.8%
20210199 10
 
1.8%
Other values (150) 382
69.5%
ValueCountFrequency (%)
20120065 1
 
0.2%
20140441 1
 
0.2%
20150340 5
 
0.9%
20160254 4
 
0.7%
20160270 14
 
2.5%
20170263 3
 
0.5%
20170305 38
6.9%
20170333 1
 
0.2%
20170411 1
 
0.2%
20180048 2
 
0.4%
ValueCountFrequency (%)
20220634 2
 
0.4%
20220632 2
 
0.4%
20220631 1
 
0.2%
20220603 2
 
0.4%
20220596 5
0.9%
20220583 12
2.2%
20220579 2
 
0.4%
20220570 2
 
0.4%
20220567 9
1.6%
20220546 1
 
0.2%

사업명
Text

Distinct74
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:39.065310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length18.854545
Min length8

Characters and Unicode

Total characters10370
Distinct characters224
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

Unique15 ?
Unique (%)2.7%

Sample

1st row해양 PNT 고도화 기술개발
2nd row해양사고 신속대응 군집수색 자율 수중로봇시스템 개발
3rd row해양사고 신속대응 군집수색 자율 수중로봇시스템 개발
4th row해양사고 신속대응 군집수색 자율 수중로봇시스템 개발
5th row해양사고 신속대응 군집수색 자율 수중로봇시스템 개발
ValueCountFrequency (%)
기술개발 203
 
8.9%
개발 163
 
7.2%
및 162
 
7.1%
기반 67
 
2.9%
스마트 67
 
2.9%
해양 58
 
2.6%
해양수산생명공학기술개발 42
 
1.8%
지원 37
 
1.6%
마린바이오틱스 31
 
1.4%
제어 31
 
1.4%
Other values (193) 1412
62.1%
2023-12-12T12:02:39.652836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1729
 
16.7%
기 527
 
5.1%
발 475
 
4.6%
개 473
 
4.6%
술 401
 
3.9%
해 322
 
3.1%
양 296
 
2.9%
산 215
 
2.1%
스 213
 
2.1%
수 212
 
2.0%
Other values (214) 5507
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8243
79.5%
Space Separator 1729
 
16.7%
Lowercase Letter 189
 
1.8%
Uppercase Letter 140
 
1.4%
Dash Punctuation 43
 
0.4%
Close Punctuation 11
 
0.1%
Open Punctuation 11
 
0.1%
Other Punctuation 3
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 527
 
6.4%
발 475
 
5.8%
개 473
 
5.7%
술 401
 
4.9%
해 322
 
3.9%
양 296
 
3.6%
산 215
 
2.6%
스 213
 
2.6%
수 212
 
2.6%
이 163
 
2.0%
Other values (191) 4946
60.0%
Uppercase Letter
ValueCountFrequency (%)
S 30
21.4%
I 30
21.4%
T 21
15.0%
N 13
9.3%
A 11
 
7.9%
L 11
 
7.9%
G 11
 
7.9%
C 10
 
7.1%
P 2
 
1.4%
B 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
l 30
15.9%
e 30
15.9%
a 30
15.9%
c 30
15.9%
u 30
15.9%
p 30
15.9%
o 9
 
4.8%
Space Separator
ValueCountFrequency (%)
1729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8243
79.5%
Common 1798
 
17.3%
Latin 329
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 527
 
6.4%
발 475
 
5.8%
개 473
 
5.7%
술 401
 
4.9%
해 322
 
3.9%
양 296
 
3.6%
산 215
 
2.6%
스 213
 
2.6%
수 212
 
2.6%
이 163
 
2.0%
Other values (191) 4946
60.0%
Latin
ValueCountFrequency (%)
S 30
9.1%
I 30
9.1%
l 30
9.1%
e 30
9.1%
a 30
9.1%
c 30
9.1%
u 30
9.1%
p 30
9.1%
T 21
 
6.4%
N 13
 
4.0%
Other values (7) 55
16.7%
Common
ValueCountFrequency (%)
1729
96.2%
- 43
 
2.4%
) 11
 
0.6%
( 11
 
0.6%
· 3
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8243
79.5%
ASCII 2124
 
20.5%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1729
81.4%
- 43
 
2.0%
S 30
 
1.4%
I 30
 
1.4%
l 30
 
1.4%
e 30
 
1.4%
a 30
 
1.4%
c 30
 
1.4%
u 30
 
1.4%
p 30
 
1.4%
Other values (12) 112
 
5.3%
Hangul
ValueCountFrequency (%)
기 527
 
6.4%
발 475
 
5.8%
개 473
 
5.7%
술 401
 
4.9%
해 322
 
3.9%
양 296
 
3.6%
산 215
 
2.6%
스 213
 
2.6%
수 212
 
2.6%
이 163
 
2.0%
Other values (191) 4946
60.0%
None
ValueCountFrequency (%)
· 3
100.0%

과제명(총괄)
Text

Distinct162
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:40.046932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length53
Mean length25.929091
Min length11

Characters and Unicode

Total characters14261
Distinct characters398
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

Unique63 ?
Unique (%)11.5%

Sample

1st row지상파 통합 항법시스템(R-Mode) 기술개발
2nd row군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발
3rd row군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발
4th row군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발
5th row군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발
ValueCountFrequency (%)
개발 277
 
8.4%
및 184
 
5.6%
기술개발 161
 
4.9%
기반 103
 
3.1%
스마트 68
 
2.1%
기술 58
 
1.8%
시스템 53
 
1.6%
실증 51
 
1.5%
해양단백질 38
 
1.1%
바이오메디컬소재 38
 
1.1%
Other values (642) 2277
68.8%
2023-12-12T12:02:40.808011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2782
 
19.5%
기 517
 
3.6%
발 511
 
3.6%
개 497
 
3.5%
술 300
 
2.1%
해 269
 
1.9%
스 236
 
1.7%
수 188
 
1.3%
이 186
 
1.3%
및 184
 
1.3%
Other values (388) 8591
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10701
75.0%
Space Separator 2782
 
19.5%
Uppercase Letter 346
 
2.4%
Lowercase Letter 169
 
1.2%
Decimal Number 120
 
0.8%
Other Punctuation 69
 
0.5%
Dash Punctuation 30
 
0.2%
Open Punctuation 22
 
0.2%
Close Punctuation 22
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 517
 
4.8%
발 511
 
4.8%
개 497
 
4.6%
술 300
 
2.8%
해 269
 
2.5%
스 236
 
2.2%
수 188
 
1.8%
이 186
 
1.7%
및 184
 
1.7%
양 179
 
1.7%
Other values (331) 7634
71.3%
Uppercase Letter
ValueCountFrequency (%)
I 37
 
10.7%
M 36
 
10.4%
W 36
 
10.4%
A 24
 
6.9%
P 22
 
6.4%
N 20
 
5.8%
T 20
 
5.8%
L 19
 
5.5%
G 19
 
5.5%
E 18
 
5.2%
Other values (12) 95
27.5%
Lowercase Letter
ValueCountFrequency (%)
t 24
14.2%
o 24
14.2%
e 18
10.7%
s 15
8.9%
f 15
8.9%
r 12
7.1%
a 11
 
6.5%
i 9
 
5.3%
k 8
 
4.7%
l 5
 
3.0%
Other values (10) 28
16.6%
Decimal Number
ValueCountFrequency (%)
1 38
31.7%
0 23
19.2%
2 15
 
12.5%
3 14
 
11.7%
8 11
 
9.2%
9 8
 
6.7%
5 7
 
5.8%
7 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 36
52.2%
· 24
34.8%
. 9
 
13.0%
Space Separator
ValueCountFrequency (%)
2782
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10701
75.0%
Common 3045
 
21.4%
Latin 515
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 517
 
4.8%
발 511
 
4.8%
개 497
 
4.6%
술 300
 
2.8%
해 269
 
2.5%
스 236
 
2.2%
수 188
 
1.8%
이 186
 
1.7%
및 184
 
1.7%
양 179
 
1.7%
Other values (331) 7634
71.3%
Latin
ValueCountFrequency (%)
I 37
 
7.2%
M 36
 
7.0%
W 36
 
7.0%
A 24
 
4.7%
t 24
 
4.7%
o 24
 
4.7%
P 22
 
4.3%
N 20
 
3.9%
T 20
 
3.9%
L 19
 
3.7%
Other values (32) 253
49.1%
Common
ValueCountFrequency (%)
2782
91.4%
1 38
 
1.2%
, 36
 
1.2%
- 30
 
1.0%
· 24
 
0.8%
0 23
 
0.8%
( 22
 
0.7%
) 22
 
0.7%
2 15
 
0.5%
3 14
 
0.5%
Other values (5) 39
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10701
75.0%
ASCII 3536
 
24.8%
None 24
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2782
78.7%
1 38
 
1.1%
I 37
 
1.0%
M 36
 
1.0%
, 36
 
1.0%
W 36
 
1.0%
- 30
 
0.8%
A 24
 
0.7%
t 24
 
0.7%
o 24
 
0.7%
Other values (46) 469
 
13.3%
Hangul
ValueCountFrequency (%)
기 517
 
4.8%
발 511
 
4.8%
개 497
 
4.6%
술 300
 
2.8%
해 269
 
2.5%
스 236
 
2.2%
수 188
 
1.8%
이 186
 
1.7%
및 184
 
1.7%
양 179
 
1.7%
Other values (331) 7634
71.3%
None
ValueCountFrequency (%)
· 24
100.0%

주관연구기관
Text

Distinct93
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:41.104135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length11.767273
Min length2

Characters and Unicode

Total characters6472
Distinct characters177
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)6.7%

Sample

1st row한국해양과학기술원 부설 선박해양플랜트연구소
2nd row한국해양과학기술원 부설 선박해양플랜트연구소
3rd row한국해양과학기술원 부설 선박해양플랜트연구소
4th row한국해양과학기술원 부설 선박해양플랜트연구소
5th row한국해양과학기술원 부설 선박해양플랜트연구소
ValueCountFrequency (%)
한국해양과학기술원 191
22.6%
부설 94
 
11.1%
선박해양플랜트연구소 88
 
10.4%
산학협력단 56
 
6.6%
사)한국선급 38
 
4.5%
부경대학교산학협력단 33
 
3.9%
전남대학교산학협력단 22
 
2.6%
여수산학협력본부 22
 
2.6%
주식회사 21
 
2.5%
조선대학교 20
 
2.4%
Other values (90) 261
30.9%
2023-12-12T12:02:41.603211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 465
 
7.2%
국 309
 
4.8%
한 306
 
4.7%
해 297
 
4.6%
296
 
4.6%
양 294
 
4.5%
원 273
 
4.2%
기 230
 
3.6%
술 225
 
3.5%
과 196
 
3.0%
Other values (167) 3581
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5918
91.4%
Space Separator 296
 
4.6%
Close Punctuation 119
 
1.8%
Open Punctuation 119
 
1.8%
Uppercase Letter 18
 
0.3%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 465
 
7.9%
국 309
 
5.2%
한 306
 
5.2%
해 297
 
5.0%
양 294
 
5.0%
원 273
 
4.6%
기 230
 
3.9%
술 225
 
3.8%
과 196
 
3.3%
산 176
 
3.0%
Other values (157) 3147
53.2%
Uppercase Letter
ValueCountFrequency (%)
E 6
33.3%
C 3
16.7%
T 3
16.7%
Y 3
16.7%
D 3
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5918
91.4%
Common 536
 
8.3%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 465
 
7.9%
국 309
 
5.2%
한 306
 
5.2%
해 297
 
5.0%
양 294
 
5.0%
원 273
 
4.6%
기 230
 
3.9%
술 225
 
3.8%
과 196
 
3.3%
산 176
 
3.0%
Other values (157) 3147
53.2%
Common
ValueCountFrequency (%)
296
55.2%
) 119
22.2%
( 119
22.2%
2 1
 
0.2%
1 1
 
0.2%
Latin
ValueCountFrequency (%)
E 6
33.3%
C 3
16.7%
T 3
16.7%
Y 3
16.7%
D 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5918
91.4%
ASCII 554
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 465
 
7.9%
국 309
 
5.2%
한 306
 
5.2%
해 297
 
5.0%
양 294
 
5.0%
원 273
 
4.6%
기 230
 
3.9%
술 225
 
3.8%
과 196
 
3.3%
산 176
 
3.0%
Other values (157) 3147
53.2%
ASCII
ValueCountFrequency (%)
296
53.4%
) 119
21.5%
( 119
21.5%
E 6
 
1.1%
C 3
 
0.5%
T 3
 
0.5%
Y 3
 
0.5%
D 3
 
0.5%
2 1
 
0.2%
1 1
 
0.2%

수행기관 과제번호
Text

Distinct235
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:41.947506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.130909
Min length10

Characters and Unicode

Total characters5572
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

Unique125 ?
Unique (%)22.7%

Sample

1st row20200450-4
2nd row20210547-4
3rd row20210547-4
4th row20210547-3
5th row20210547-3
ValueCountFrequency (%)
20170305-2 38
 
6.9%
20210656-2 17
 
3.1%
20160270-2 14
 
2.5%
20220583-2 12
 
2.2%
20200599-2 11
 
2.0%
20210671-3 10
 
1.8%
20210199-2 10
 
1.8%
20210469-7 8
 
1.5%
20200615-30 8
 
1.5%
20220091-2 7
 
1.3%
Other values (225) 415
75.5%
2023-12-12T12:02:42.505247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1578
28.3%
0 1354
24.3%
1 559
 
10.0%
- 550
 
9.9%
6 279
 
5.0%
5 277
 
5.0%
3 258
 
4.6%
4 218
 
3.9%
9 197
 
3.5%
7 173
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5022
90.1%
Dash Punctuation 550
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1578
31.4%
0 1354
27.0%
1 559
 
11.1%
6 279
 
5.6%
5 277
 
5.5%
3 258
 
5.1%
4 218
 
4.3%
9 197
 
3.9%
7 173
 
3.4%
8 129
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 550
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5572
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1578
28.3%
0 1354
24.3%
1 559
 
10.0%
- 550
 
9.9%
6 279
 
5.0%
5 277
 
5.0%
3 258
 
4.6%
4 218
 
3.9%
9 197
 
3.5%
7 173
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1578
28.3%
0 1354
24.3%
1 559
 
10.0%
- 550
 
9.9%
6 279
 
5.0%
5 277
 
5.0%
3 258
 
4.6%
4 218
 
3.9%
9 197
 
3.5%
7 173
 
3.1%

과제구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
세부
370 
공동
175 
위탁
 
4
협동
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row협동
2nd row공동
3rd row공동
4th row공동
5th row공동

Common Values

ValueCountFrequency (%)
세부 370
67.3%
공동 175
31.8%
위탁 4
 
0.7%
협동 1
 
0.2%

Length

2023-12-12T12:02:42.688788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:42.826926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세부 370
67.3%
공동 175
31.8%
위탁 4
 
0.7%
협동 1
 
0.2%

수행기관 과제명
Text

Distinct213
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:43.218080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length53
Mean length27.709091
Min length11

Characters and Unicode

Total characters15240
Distinct characters411
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

Unique104 ?
Unique (%)18.9%

Sample

1st rowVDES R-Mode 신호송출 및 수신장비 기술개발
2nd row군집 항법, 제어 및 USBL 안정화 모듈 기술 개발
3rd row군집 항법, 제어 및 USBL 안정화 모듈 기술 개발
4th row자율무인잠수정 통합 및 시험평가
5th row자율무인잠수정 통합 및 시험평가
ValueCountFrequency (%)
개발 320
 
9.1%
및 203
 
5.8%
기반 111
 
3.2%
기술개발 108
 
3.1%
기술 85
 
2.4%
시스템 66
 
1.9%
스마트 66
 
1.9%
실증 44
 
1.3%
바이오메디컬소재 38
 
1.1%
해양단백질 38
 
1.1%
Other values (774) 2435
69.3%
2023-12-12T12:02:43.850677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3016
 
19.8%
기 533
 
3.5%
발 501
 
3.3%
개 487
 
3.2%
술 297
 
1.9%
스 279
 
1.8%
해 262
 
1.7%
이 215
 
1.4%
및 203
 
1.3%
양 182
 
1.2%
Other values (401) 9265
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11407
74.8%
Space Separator 3016
 
19.8%
Uppercase Letter 370
 
2.4%
Lowercase Letter 159
 
1.0%
Decimal Number 114
 
0.7%
Other Punctuation 80
 
0.5%
Dash Punctuation 32
 
0.2%
Open Punctuation 31
 
0.2%
Close Punctuation 31
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 533
 
4.7%
발 501
 
4.4%
개 487
 
4.3%
술 297
 
2.6%
스 279
 
2.4%
해 262
 
2.3%
이 215
 
1.9%
및 203
 
1.8%
양 182
 
1.6%
시 178
 
1.6%
Other values (342) 8270
72.5%
Uppercase Letter
ValueCountFrequency (%)
I 47
12.7%
W 39
 
10.5%
M 37
 
10.0%
T 23
 
6.2%
P 23
 
6.2%
S 23
 
6.2%
G 20
 
5.4%
E 19
 
5.1%
L 18
 
4.9%
H 17
 
4.6%
Other values (12) 104
28.1%
Lowercase Letter
ValueCountFrequency (%)
o 27
17.0%
t 23
14.5%
e 17
10.7%
f 15
9.4%
a 11
6.9%
r 11
6.9%
k 8
 
5.0%
i 8
 
5.0%
s 7
 
4.4%
d 5
 
3.1%
Other values (10) 27
17.0%
Decimal Number
ValueCountFrequency (%)
1 35
30.7%
0 19
16.7%
3 14
 
12.3%
2 13
 
11.4%
8 11
 
9.6%
9 9
 
7.9%
5 8
 
7.0%
7 4
 
3.5%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 45
56.2%
· 23
28.7%
/ 6
 
7.5%
. 6
 
7.5%
Space Separator
ValueCountFrequency (%)
3016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11407
74.8%
Common 3304
 
21.7%
Latin 529
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 533
 
4.7%
발 501
 
4.4%
개 487
 
4.3%
술 297
 
2.6%
스 279
 
2.4%
해 262
 
2.3%
이 215
 
1.9%
및 203
 
1.8%
양 182
 
1.6%
시 178
 
1.6%
Other values (342) 8270
72.5%
Latin
ValueCountFrequency (%)
I 47
 
8.9%
W 39
 
7.4%
M 37
 
7.0%
o 27
 
5.1%
T 23
 
4.3%
P 23
 
4.3%
t 23
 
4.3%
S 23
 
4.3%
G 20
 
3.8%
E 19
 
3.6%
Other values (32) 248
46.9%
Common
ValueCountFrequency (%)
3016
91.3%
, 45
 
1.4%
1 35
 
1.1%
- 32
 
1.0%
( 31
 
0.9%
) 31
 
0.9%
· 23
 
0.7%
0 19
 
0.6%
3 14
 
0.4%
2 13
 
0.4%
Other values (7) 45
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11407
74.8%
ASCII 3810
 
25.0%
None 23
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3016
79.2%
I 47
 
1.2%
, 45
 
1.2%
W 39
 
1.0%
M 37
 
1.0%
1 35
 
0.9%
- 32
 
0.8%
( 31
 
0.8%
) 31
 
0.8%
o 27
 
0.7%
Other values (48) 470
 
12.3%
Hangul
ValueCountFrequency (%)
기 533
 
4.7%
발 501
 
4.4%
개 487
 
4.3%
술 297
 
2.6%
스 279
 
2.4%
해 262
 
2.3%
이 215
 
1.9%
및 203
 
1.8%
양 182
 
1.6%
시 178
 
1.6%
Other values (342) 8270
72.5%
None
ValueCountFrequency (%)
· 23
100.0%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
승인(확정)
550 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승인(확정)
2nd row승인(확정)
3rd row승인(확정)
4th row승인(확정)
5th row승인(확정)

Common Values

ValueCountFrequency (%)
승인(확정) 550
100.0%

Length

2023-12-12T12:02:44.048000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:44.189214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승인(확정 550
100.0%

활용구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
조사분석
395 
연구개발결과 활용보고
155 

Length

Max length11
Median length4
Mean length5.9727273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조사분석
2nd row연구개발결과 활용보고
3rd row연구개발결과 활용보고
4th row연구개발결과 활용보고
5th row연구개발결과 활용보고

Common Values

ValueCountFrequency (%)
조사분석 395
71.8%
연구개발결과 활용보고 155
 
28.2%

Length

2023-12-12T12:02:44.291908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:44.426136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조사분석 395
56.0%
연구개발결과 155
 
22.0%
활용보고 155
 
22.0%

출원명
Text

Distinct479
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:44.813443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length131
Median length64
Mean length29.376364
Min length2

Characters and Unicode

Total characters16157
Distinct characters572
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique426 ?
Unique (%)77.5%

Sample

1st row전파 도달시간을 추정하는 방법과 상기 방법을 수행하는 장치
2nd row로봇 부이 (ROBOT BUOY)
3rd row수중 외란 발생 장치(UNDERWATER DISTURBANCE GENERATOR)
4th row추진 방향 제어 어셈블리를 포함하는 무인잠수정의 추진장치
5th row비상부양장치를 포함하는 무인 잠수정
ValueCountFrequency (%)
및 244
 
6.2%
방법 139
 
3.5%
시스템 115
 
2.9%
이용한 96
 
2.4%
장치 81
 
2.1%
조성물 45
 
1.1%
포함하는 42
 
1.1%
이를 39
 
1.0%
위한 38
 
1.0%
그 35
 
0.9%
Other values (1595) 3064
77.8%
2023-12-12T12:02:45.455922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3428
 
21.2%
이 391
 
2.4%
방 269
 
1.7%
용 254
 
1.6%
및 244
 
1.5%
스 237
 
1.5%
법 218
 
1.3%
의 214
 
1.3%
장 206
 
1.3%
치 201
 
1.2%
Other values (562) 10495
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10643
65.9%
Space Separator 3428
 
21.2%
Uppercase Letter 1234
 
7.6%
Lowercase Letter 691
 
4.3%
Decimal Number 81
 
0.5%
Other Punctuation 41
 
0.3%
Dash Punctuation 15
 
0.1%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 391
 
3.7%
방 269
 
2.5%
용 254
 
2.4%
및 244
 
2.3%
스 237
 
2.2%
법 218
 
2.0%
의 214
 
2.0%
장 206
 
1.9%
치 201
 
1.9%
시 200
 
1.9%
Other values (496) 8209
77.1%
Uppercase Letter
ValueCountFrequency (%)
E 130
 
10.5%
T 103
 
8.3%
I 101
 
8.2%
S 95
 
7.7%
A 94
 
7.6%
N 78
 
6.3%
O 77
 
6.2%
R 73
 
5.9%
P 63
 
5.1%
D 54
 
4.4%
Other values (13) 366
29.7%
Lowercase Letter
ValueCountFrequency (%)
o 68
9.8%
a 68
9.8%
e 67
9.7%
t 66
9.6%
i 64
 
9.3%
r 57
 
8.2%
n 43
 
6.2%
s 37
 
5.4%
c 31
 
4.5%
l 30
 
4.3%
Other values (13) 160
23.2%
Decimal Number
ValueCountFrequency (%)
1 27
33.3%
2 20
24.7%
3 8
 
9.9%
0 7
 
8.6%
4 6
 
7.4%
7 4
 
4.9%
9 3
 
3.7%
8 2
 
2.5%
6 2
 
2.5%
5 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 33
80.5%
？ 4
 
9.8%
. 2
 
4.9%
· 1
 
2.4%
/ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
3428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10618
65.7%
Common 3589
 
22.2%
Latin 1925
 
11.9%
Han 16
 
0.1%
Katakana 5
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 391
 
3.7%
방 269
 
2.5%
용 254
 
2.4%
및 244
 
2.3%
스 237
 
2.2%
법 218
 
2.1%
의 214
 
2.0%
장 206
 
1.9%
치 201
 
1.9%
시 200
 
1.9%
Other values (471) 8184
77.1%
Latin
ValueCountFrequency (%)
E 130
 
6.8%
T 103
 
5.4%
I 101
 
5.2%
S 95
 
4.9%
A 94
 
4.9%
N 78
 
4.1%
O 77
 
4.0%
R 73
 
3.8%
o 68
 
3.5%
a 68
 
3.5%
Other values (36) 1038
53.9%
Common
ValueCountFrequency (%)
3428
95.5%
, 33
 
0.9%
1 27
 
0.8%
2 20
 
0.6%
- 15
 
0.4%
( 10
 
0.3%
) 10
 
0.3%
3 8
 
0.2%
0 7
 
0.2%
4 6
 
0.2%
Other values (10) 25
 
0.7%
Han
ValueCountFrequency (%)
舶 1
 
6.2%
船 1
 
6.2%
置 1
 
6.2%
材 1
 
6.2%
植 1
 
6.2%
移 1
 
6.2%
骨 1
 
6.2%
由 1
 
6.2%
孔 1
 
6.2%
有 1
 
6.2%
Other values (6) 6
37.5%
Katakana
ValueCountFrequency (%)
ネ 1
20.0%
ッ 1
20.0%
ト 1
20.0%
ワ 1
20.0%
ク 1
20.0%
Hiragana
ValueCountFrequency (%)
び 1
25.0%
よ 1
25.0%
の 1
25.0%
お 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10618
65.7%
ASCII 5509
34.1%
CJK 16
 
0.1%
None 5
 
< 0.1%
Katakana 5
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3428
62.2%
E 130
 
2.4%
T 103
 
1.9%
I 101
 
1.8%
S 95
 
1.7%
A 94
 
1.7%
N 78
 
1.4%
O 77
 
1.4%
R 73
 
1.3%
o 68
 
1.2%
Other values (54) 1262
 
22.9%
Hangul
ValueCountFrequency (%)
이 391
 
3.7%
방 269
 
2.5%
용 254
 
2.4%
및 244
 
2.3%
스 237
 
2.2%
법 218
 
2.1%
의 214
 
2.0%
장 206
 
1.9%
치 201
 
1.9%
시 200
 
1.9%
Other values (471) 8184
77.1%
None
ValueCountFrequency (%)
？ 4
80.0%
· 1
 
20.0%
CJK
ValueCountFrequency (%)
舶 1
 
6.2%
船 1
 
6.2%
置 1
 
6.2%
材 1
 
6.2%
植 1
 
6.2%
移 1
 
6.2%
骨 1
 
6.2%
由 1
 
6.2%
孔 1
 
6.2%
有 1
 
6.2%
Other values (6) 6
37.5%
Hiragana
ValueCountFrequency (%)
び 1
25.0%
よ 1
25.0%
の 1
25.0%
お 1
25.0%
Katakana
ValueCountFrequency (%)
ネ 1
20.0%
ッ 1
20.0%
ト 1
20.0%
ワ 1
20.0%
ク 1
20.0%

출원_등록구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
출원
433 
등록
117 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출원 433
78.7%
등록 117
 
21.3%

Length

2023-12-12T12:02:45.624273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:45.745262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출원 433
78.7%
등록 117
 
21.3%

출원(등록)국가
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
대한민국
498 
미국
 
19
중국
 
10
유럽연합
 
8
일본
 
7
Other values (5)
 
8

Length

Max length4
Median length4
Mean length3.8472727
Min length2

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 498
90.5%
미국 19
 
3.5%
중국 10
 
1.8%
유럽연합 8
 
1.5%
일본 7
 
1.3%
국제 4
 
0.7%
영국 1
 
0.2%
네덜란드 1
 
0.2%
대만 1
 
0.2%
<NA> 1
 
0.2%

Length

2023-12-12T12:02:45.884750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:02:46.053991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 498
90.5%
미국 19
 
3.5%
중국 10
 
1.8%
유럽연합 8
 
1.5%
일본 7
 
1.3%
국제 4
 
0.7%
영국 1
 
0.2%
네덜란드 1
 
0.2%
대만 1
 
0.2%
na 1
 
0.2%

출원(등록)기관
Text

Distinct163
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T12:02:46.288845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length11.096364
Min length2

Characters and Unicode

Total characters6103
Distinct characters241
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

Unique82 ?
Unique (%)14.9%

Sample

1st row(주)코메스타
2nd row한국로봇융합연구원
3rd row한국로봇융합연구원
4th row한화시스템
5th row한화시스템
ValueCountFrequency (%)
한국해양과학기술원 125
 
14.5%
산학협력단 101
 
11.7%
선박해양플랜트연구소 62
 
7.2%
부설 62
 
7.2%
주식회사 50
 
5.8%
한국로봇융합연구원 26
 
3.0%
전남대학교 24
 
2.8%
조선대학교 17
 
2.0%
부경대학교산학협력단 17
 
2.0%
한국해양대학교 15
 
1.7%
Other values (167) 362
42.0%
2023-12-12T12:02:46.703051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 399
 
6.5%
311
 
5.1%
해 228
 
3.7%
한 227
 
3.7%
국 227
 
3.7%
양 221
 
3.6%
원 211
 
3.5%
주 183
 
3.0%
기 179
 
2.9%
술 171
 
2.8%
Other values (231) 3746
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5473
89.7%
Space Separator 311
 
5.1%
Close Punctuation 124
 
2.0%
Open Punctuation 124
 
2.0%
Uppercase Letter 57
 
0.9%
Other Punctuation 6
 
0.1%
Decimal Number 4
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 399
 
7.3%
해 228
 
4.2%
한 227
 
4.1%
국 227
 
4.1%
양 221
 
4.0%
원 211
 
3.9%
주 183
 
3.3%
기 179
 
3.3%
술 171
 
3.1%
산 153
 
2.8%
Other values (212) 3274
59.8%
Uppercase Letter
ValueCountFrequency (%)
T 11
19.3%
E 10
17.5%
C 8
14.0%
D 8
14.0%
K 6
10.5%
L 3
 
5.3%
M 3
 
5.3%
O 3
 
5.3%
H 3
 
5.3%
Y 2
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 3
50.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5474
89.7%
Common 572
 
9.4%
Latin 57
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 399
 
7.3%
해 228
 
4.2%
한 227
 
4.1%
국 227
 
4.1%
양 221
 
4.0%
원 211
 
3.9%
주 183
 
3.3%
기 179
 
3.3%
술 171
 
3.1%
산 153
 
2.8%
Other values (213) 3275
59.8%
Latin
ValueCountFrequency (%)
T 11
19.3%
E 10
17.5%
C 8
14.0%
D 8
14.0%
K 6
10.5%
L 3
 
5.3%
M 3
 
5.3%
O 3
 
5.3%
H 3
 
5.3%
Y 2
 
3.5%
Common
ValueCountFrequency (%)
311
54.4%
) 124
 
21.7%
( 124
 
21.7%
, 3
 
0.5%
. 3
 
0.5%
- 3
 
0.5%
2 2
 
0.3%
1 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5473
89.7%
ASCII 629
 
10.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 399
 
7.3%
해 228
 
4.2%
한 227
 
4.1%
국 227
 
4.1%
양 221
 
4.0%
원 211
 
3.9%
주 183
 
3.3%
기 179
 
3.3%
술 171
 
3.1%
산 153
 
2.8%
Other values (212) 3274
59.8%
ASCII
ValueCountFrequency (%)
311
49.4%
) 124
 
19.7%
( 124
 
19.7%
T 11
 
1.7%
E 10
 
1.6%
C 8
 
1.3%
D 8
 
1.3%
K 6
 
1.0%
L 3
 
0.5%
, 3
 
0.5%
Other values (8) 21
 
3.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

출원일자
Date

Distinct239
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2020-01-06 00:00:00
Maximum2023-06-13 00:00:00
2023-12-12T12:02:46.869573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:47.037764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기여율(퍼센트)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)4.3%
Missing203
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean86.014409
Minimum7.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T12:02:47.166702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile30
Q170
median100
Q3100
95-th percentile100
Maximum100
Range92.5
Interquartile range (IQR)30

Descriptive statistics

Standard deviation24.943081
Coefficient of variation (CV)0.28998724
Kurtosis0.86084528
Mean86.014409
Median Absolute Deviation (MAD)0
Skewness-1.5012198
Sum29847
Variance622.15731
MonotonicityNot monotonic
2023-12-12T12:02:47.279938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
100.0 254
46.2%
50.0 43
 
7.8%
70.0 18
 
3.3%
30.0 9
 
1.6%
25.0 4
 
0.7%
33.0 3
 
0.5%
10.0 3
 
0.5%
20.0 3
 
0.5%
7.5 2
 
0.4%
85.0 2
 
0.4%
Other values (5) 6
 
1.1%
(Missing) 203
36.9%
ValueCountFrequency (%)
7.5 2
 
0.4%
10.0 3
 
0.5%
20.0 3
 
0.5%
25.0 4
 
0.7%
28.0 1
 
0.2%
30.0 9
 
1.6%
33.0 3
 
0.5%
35.0 1
 
0.2%
40.0 2
 
0.4%
50.0 43
7.8%
ValueCountFrequency (%)
100.0 254
46.2%
90.0 1
 
0.2%
85.0 2
 
0.4%
70.0 18
 
3.3%
60.0 1
 
0.2%
50.0 43
 
7.8%
40.0 2
 
0.4%
35.0 1
 
0.2%
33.0 3
 
0.5%
30.0 9
 
1.6%

출원번호
Text

MISSING 

Distinct478
Distinct (%)92.3%
Missing32
Missing (%)5.8%
Memory size4.4 KiB
2023-12-12T12:02:47.502772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length15
Mean length14.776062
Min length8

Characters and Unicode

Total characters7654
Distinct characters31
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

Unique443 ?
Unique (%)85.5%

Sample

1st row10-2020-0151968
2nd row10-2021-0181463
3rd row10-2021-0183917
4th row10-2021-0079075
5th row10-2021-0072566
ValueCountFrequency (%)
10-2022-0066524 4
 
0.8%
2.02211e+11 3
 
0.6%
1.02022e+12 3
 
0.6%
10-2022-0118485 3
 
0.6%
10-2022-0115582 2
 
0.4%
10-2022-0109698 2
 
0.4%
10-2020-0067181 2
 
0.4%
10-2022-0099230 2
 
0.4%
10-2021-0079582 2
 
0.4%
10-2022-0107518 2
 
0.4%
Other values (470) 498
95.2%
2023-12-12T12:02:47.927993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1940
25.3%
2 1656
21.6%
1 1076
14.1%
- 934
12.2%
6 295
 
3.9%
8 281
 
3.7%
9 271
 
3.5%
4 255
 
3.3%
5 254
 
3.3%
7 242
 
3.2%
Other values (21) 450
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6511
85.1%
Dash Punctuation 934
 
12.2%
Uppercase Letter 82
 
1.1%
Other Punctuation 67
 
0.9%
Space Separator 24
 
0.3%
Other Letter 22
 
0.3%
Math Symbol 12
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1940
29.8%
2 1656
25.4%
1 1076
16.5%
6 295
 
4.5%
8 281
 
4.3%
9 271
 
4.2%
4 255
 
3.9%
5 254
 
3.9%
7 242
 
3.7%
3 241
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
P 15
18.3%
R 13
15.9%
K 13
15.9%
C 13
15.9%
T 13
15.9%
E 13
15.9%
W 1
 
1.2%
O 1
 
1.2%
Other Letter
ValueCountFrequency (%)
호 10
45.5%
제 9
40.9%
접 1
 
4.5%
수 1
 
4.5%
번 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 38
56.7%
. 18
26.9%
, 11
 
16.4%
Dash Punctuation
ValueCountFrequency (%)
- 934
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7550
98.6%
Latin 82
 
1.1%
Hangul 22
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1940
25.7%
2 1656
21.9%
1 1076
14.3%
- 934
12.4%
6 295
 
3.9%
8 281
 
3.7%
9 271
 
3.6%
4 255
 
3.4%
5 254
 
3.4%
7 242
 
3.2%
Other values (8) 346
 
4.6%
Latin
ValueCountFrequency (%)
P 15
18.3%
R 13
15.9%
K 13
15.9%
C 13
15.9%
T 13
15.9%
E 13
15.9%
W 1
 
1.2%
O 1
 
1.2%
Hangul
ValueCountFrequency (%)
호 10
45.5%
제 9
40.9%
접 1
 
4.5%
수 1
 
4.5%
번 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7632
99.7%
Hangul 22
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1940
25.4%
2 1656
21.7%
1 1076
14.1%
- 934
12.2%
6 295
 
3.9%
8 281
 
3.7%
9 271
 
3.6%
4 255
 
3.3%
5 254
 
3.3%
7 242
 
3.2%
Other values (16) 428
 
5.6%
Hangul
ValueCountFrequency (%)
호 10
45.5%
제 9
40.9%
접 1
 
4.5%
수 1
 
4.5%
번 1
 
4.5%

등록번호
Text

MISSING 

Distinct128
Distinct (%)94.8%
Missing415
Missing (%)75.5%
Memory size4.4 KiB
2023-12-12T12:02:48.258964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length11.466667
Min length1

Characters and Unicode

Total characters1548
Distinct characters27
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

Unique121 ?
Unique (%)89.6%

Sample

1st row10-2364606-0000
2nd row10-2364594-0000
3rd row10-2371467
4th row10-2355514-0000
5th row10-2350107-0000
ValueCountFrequency (%)
제 7
 
4.6%
호 5
 
3.3%
us 3
 
2.0%
10-2456354 2
 
1.3%
10-2445902 2
 
1.3%
10-2451797-00-00 2
 
1.3%
b2 2
 
1.3%
10-2442095 2
 
1.3%
10-2364606-0000 2
 
1.3%
2
 
1.3%
Other values (122) 123
80.9%
2023-12-12T12:02:48.800359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 293
18.9%
2 203
13.1%
1 191
12.3%
- 156
10.1%
4 137
8.9%
3 107
 
6.9%
7 89
 
5.7%
5 88
 
5.7%
6 76
 
4.9%
8 59
 
3.8%
Other values (17) 149
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1301
84.0%
Dash Punctuation 156
 
10.1%
Other Letter 35
 
2.3%
Space Separator 21
 
1.4%
Uppercase Letter 21
 
1.4%
Other Punctuation 12
 
0.8%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 293
22.5%
2 203
15.6%
1 191
14.7%
4 137
10.5%
3 107
 
8.2%
7 89
 
6.8%
5 88
 
6.8%
6 76
 
5.8%
8 59
 
4.5%
9 58
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
U 4
19.0%
S 3
14.3%
B 3
14.3%
E 3
14.3%
K 2
9.5%
Z 2
9.5%
L 2
9.5%
P 1
 
4.8%
N 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
. 4
33.3%
/ 1
 
8.3%
Other Letter
ValueCountFrequency (%)
제 18
51.4%
호 17
48.6%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1492
96.4%
Hangul 35
 
2.3%
Latin 21
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 293
19.6%
2 203
13.6%
1 191
12.8%
- 156
10.5%
4 137
9.2%
3 107
 
7.2%
7 89
 
6.0%
5 88
 
5.9%
6 76
 
5.1%
8 59
 
4.0%
Other values (6) 93
 
6.2%
Latin
ValueCountFrequency (%)
U 4
19.0%
S 3
14.3%
B 3
14.3%
E 3
14.3%
K 2
9.5%
Z 2
9.5%
L 2
9.5%
P 1
 
4.8%
N 1
 
4.8%
Hangul
ValueCountFrequency (%)
제 18
51.4%
호 17
48.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1513
97.7%
Hangul 35
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 293
19.4%
2 203
13.4%
1 191
12.6%
- 156
10.3%
4 137
9.1%
3 107
 
7.1%
7 89
 
5.9%
5 88
 
5.8%
6 76
 
5.0%
8 59
 
3.9%
Other values (15) 114
 
7.5%
Hangul
ValueCountFrequency (%)
제 18
51.4%
호 17
48.6%

Interactions

2023-12-12T12:02:36.241106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:35.642807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:35.924718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:36.352557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:35.735494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:36.025743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:36.471210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:35.842810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:02:36.141588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:02:48.987586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성과년도예산년도과제접수번호사업명주관연구기관과제구분활용구분출원_등록구분출원(등록)국가기여율(퍼센트)
성과년도1.0000.8530.6810.7200.0000.3500.1710.0270.2430.000
예산년도0.8531.0000.7530.7230.8320.1750.1020.1290.2000.000
과제접수번호0.6810.7531.0000.9750.9140.3960.2920.4390.2620.440
사업명0.7200.7230.9751.0000.9940.9080.5400.4690.0000.686
주관연구기관0.0000.8320.9140.9941.0000.7160.6030.3800.0000.370
과제구분0.3500.1750.3960.9080.7161.0000.3000.0000.0000.318
활용구분0.1710.1020.2920.5400.6030.3001.0000.0000.1050.183
출원_등록구분0.0270.1290.4390.4690.3800.0000.0001.0000.0740.000
출원(등록)국가0.2430.2000.2620.0000.0000.0000.1050.0741.0000.365
기여율(퍼센트)0.0000.0000.4400.6860.3700.3180.1830.0000.3651.000
2023-12-12T12:02:49.176051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활용구분출원_등록구분출원(등록)국가과제구분성과년도
활용구분1.0000.0000.1040.2000.113
출원_등록구분0.0001.0000.0740.0000.017
출원(등록)국가0.1040.0741.0000.0000.156
과제구분0.2000.0000.0001.0000.142
성과년도0.1130.0170.1560.1421.000
2023-12-12T12:02:49.313755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산년도과제접수번호기여율(퍼센트)성과년도과제구분활용구분출원_등록구분출원(등록)국가
예산년도1.0000.4740.0010.8320.1400.1330.1560.089
과제접수번호0.4741.0000.0830.3570.1810.2150.3270.115
기여율(퍼센트)0.0010.0831.0000.0000.1460.1810.0000.190
성과년도0.8320.3570.0001.0000.1420.1130.0170.156
과제구분0.1400.1810.1460.1421.0000.2000.0000.000
활용구분0.1330.2150.1810.1130.2001.0000.0000.104
출원_등록구분0.1560.3270.0000.0170.0000.0001.0000.074
출원(등록)국가0.0890.1150.1900.1560.0000.1040.0741.000

Missing values

2023-12-12T12:02:36.973791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:02:37.319736image/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.
2023-12-12T12:02:37.533079image/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

성과년도예산년도과제접수번호사업명과제명(총괄)주관연구기관수행기관 과제번호과제구분수행기관 과제명상태활용구분출원명출원_등록구분출원(등록)국가출원(등록)기관출원일자기여율(퍼센트)출원번호등록번호
02020202020200450해양 PNT 고도화 기술개발지상파 통합 항법시스템(R-Mode) 기술개발한국해양과학기술원 부설 선박해양플랜트연구소20200450-4협동VDES R-Mode 신호송출 및 수신장비 기술개발승인(확정)조사분석전파 도달시간을 추정하는 방법과 상기 방법을 수행하는 장치출원대한민국(주)코메스타2020-11-13<NA>10-2020-0151968<NA>
12021202120210547해양사고 신속대응 군집수색 자율 수중로봇시스템 개발군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발한국해양과학기술원 부설 선박해양플랜트연구소20210547-4공동군집 항법, 제어 및 USBL 안정화 모듈 기술 개발승인(확정)연구개발결과 활용보고로봇 부이 (ROBOT BUOY)출원대한민국한국로봇융합연구원2021-12-17<NA>10-2021-0181463<NA>
22021202120210547해양사고 신속대응 군집수색 자율 수중로봇시스템 개발군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발한국해양과학기술원 부설 선박해양플랜트연구소20210547-4공동군집 항법, 제어 및 USBL 안정화 모듈 기술 개발승인(확정)연구개발결과 활용보고수중 외란 발생 장치(UNDERWATER DISTURBANCE GENERATOR)출원대한민국한국로봇융합연구원2021-12-21<NA>10-2021-0183917<NA>
32021202120210547해양사고 신속대응 군집수색 자율 수중로봇시스템 개발군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발한국해양과학기술원 부설 선박해양플랜트연구소20210547-3공동자율무인잠수정 통합 및 시험평가승인(확정)연구개발결과 활용보고추진 방향 제어 어셈블리를 포함하는 무인잠수정의 추진장치출원대한민국한화시스템2021-06-18100.010-2021-007907510-2364606-0000
42021202120210547해양사고 신속대응 군집수색 자율 수중로봇시스템 개발군집 수색 자율무인잠수정(AUVs) 및 운용 시스템 개발한국해양과학기술원 부설 선박해양플랜트연구소20210547-3공동자율무인잠수정 통합 및 시험평가승인(확정)연구개발결과 활용보고비상부양장치를 포함하는 무인 잠수정출원대한민국한화시스템2021-06-04100.010-2021-007256610-2364594-0000
52022202220180447해양과학조사 및 예보기술개발해양수치모델링과 지능정보기술을 활용한 해양예측 정확도 향상 연구한국해양과학기술원20180447-2세부해양수치모델링과 지능정보기술을 활용한 해양예측 정확도 향상 연구승인(확정)조사분석해양 부이 관측망 설계방법등록대한민국한국해양과학기술원2022-03-02<NA>10-2020-016016010-2371467
62022202220210505해양 바이오 전략소재 개발 및 상용화 지원고농도 농축배양 신기술 및 스마트공정을 적용한 해양바이오 유래 건강기능식품 대량연속생산기술개발(주)바이오디20210505-2세부고농도 농축배양 신기술 및 스마트공정을 적용한 해양바이오 유래 건강기능식품 대량연속생산기술개발승인(확정)조사분석미세조류 배양기출원대한민국(주)바이오디2022-06-28<NA>10-2022-0078623<NA>
72022202220210469빅데이터 기반 해양 바이러스 제어 및 마린바이오틱스 개발해양생물 마이크로바이옴 분석, 확보, 검증 및 활용기술개발한국해양과학기술원20210469-7공동흰다리새우 마이크로바이옴의 양식응용기술 개발승인(확정)조사분석활력이 우수한 양식용 새우종자 선별방법출원대한민국(주)네오엔비즈2022-06-13100.010-2022-0071375<NA>
82022202220210469빅데이터 기반 해양 바이러스 제어 및 마린바이오틱스 개발해양생물 마이크로바이옴 분석, 확보, 검증 및 활용기술개발한국해양과학기술원20210469-7공동흰다리새우 마이크로바이옴의 양식응용기술 개발승인(확정)조사분석에너지제로 생태순환형 농수축산 통합생산시스템출원대한민국(주)네오엔비즈2022-03-04100.010-2022-0028095<NA>
92022202220210469빅데이터 기반 해양 바이러스 제어 및 마린바이오틱스 개발해양생물 마이크로바이옴 분석, 확보, 검증 및 활용기술개발한국해양과학기술원20210469-7공동흰다리새우 마이크로바이옴의 양식응용기술 개발승인(확정)조사분석바이오플락 사육수를 이용한 마이크로바이옴 액젓 및 이의 제조방법출원대한민국(주)네오엔비즈2022-02-25100.010-2022-0024834<NA>
성과년도예산년도과제접수번호사업명과제명(총괄)주관연구기관수행기관 과제번호과제구분수행기관 과제명상태활용구분출원명출원_등록구분출원(등록)국가출원(등록)기관출원일자기여율(퍼센트)출원번호등록번호
5402022202220210430해양수산 기술창업 Scale-up사업플라스틱 대체 소재인 해조류 부산물을 이용한 90일 이내 생분해성 친환경 몰드용기 개발(주)마린이노베이션20210430-2세부플라스틱 대체 소재인 해조류 부산물을 이용한 90일 이내 생분해성 친환경 몰드용기 개발승인(확정)조사분석생분해성 시트 및 이를 이용한 식품용기출원대한민국(주)마린이노베이션2022-12-13100.010-2022-0173823-
5412022202220210430해양수산 기술창업 Scale-up사업플라스틱 대체 소재인 해조류 부산물을 이용한 90일 이내 생분해성 친환경 몰드용기 개발(주)마린이노베이션20210430-2세부플라스틱 대체 소재인 해조류 부산물을 이용한 90일 이내 생분해성 친환경 몰드용기 개발승인(확정)조사분석수분저항성 생분해성 시트 및 이를 이용한 식품용기출원대한민국(주)마린이노베이션2022-12-13100.010-2022-0173854<NA>
5422022202220220454해양수산 기술창업 Scale-up사업해녀 어업을 지원하는 디지털 기반 안전시스템의 실용화 기술 연구포항공과대학교 산학협력단20220454-2세부해녀 어업을 지원하는 디지털 기반 안전시스템의 실용화 기술 연구승인(확정)조사분석해녀집단 안전관리 시스템출원대한민국포항공과대학교 산학협력단2022-12-01<NA>10-2022-0165886<NA>
5432023202220210625친환경선박 혼합연료 기술개발 및 실증1MW급 해양 환경을 고려한 맞춤형 운항 정보 및 신뢰성 검증 기술 개발한국해양과학기술원 부설 선박해양플랜트연구소20210625-2세부1MW급 해양 환경을 고려한 맞춤형 운항 정보 및 신뢰성 검증 기술 개발승인(확정)조사분석용량 가변형 전기추진 전동기의 냉각구조 및 이를 채용한 용량 가변형 전기추진 전동기등록대한민국한국해양과학기술원 부설 선박해양플랜트연구소2023-02-2050.010-2022-009848210-2503158
5442023202220210625친환경선박 혼합연료 기술개발 및 실증1MW급 해양 환경을 고려한 맞춤형 운항 정보 및 신뢰성 검증 기술 개발한국해양과학기술원 부설 선박해양플랜트연구소20210625-2세부1MW급 해양 환경을 고려한 맞춤형 운항 정보 및 신뢰성 검증 기술 개발승인(확정)조사분석선박 액화수소탱크용 냉각 및 가열 복합 시스템출원대한민국한국해양과학기술원 부설 선박해양플랜트연구소2023-05-0850.010-2023-0059263<NA>
5452022202220210199해양산업 수요기술 개발친환경 HDPE소재의 38ft급 파워보트개발(주)디에이치20210199-2세부친환경 HDPE소재의 38ft급 파워보트개발승인(확정)조사분석선박 구조체의 용접 결함 확인 방법출원대한민국대해선박기술 주식회사2022-12-28100.010-2022-0187990<NA>
5462021202120210199해양산업 수요기술 개발친환경 HDPE소재의 38ft급 파워보트 개발(주)디에이치20210199-2세부친환경 HDPE소재의 38ft급 파워보트개발승인(확정)조사분석선박 구조체출원대한민국대해선박기술 주식회사2021-12-02100.010-2021-0171341<NA>
5472023202320220035해양 미세플라스틱 오염대응 및 관리 기술개발해양 미세플라스틱 현안해결 기술개발한국세라믹기술원20220035-3공동해양 미세플라스틱 현안해결 기술개발승인(확정)연구개발결과 활용보고다공성 세라믹 비드 및 이를 기반으로 하는 세라믹 부표의 제조방법출원대한민국동덕여자대학교 산학협력단2023-06-13100.010-2023-0075223<NA>
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Duplicate rows

Most frequently occurring

성과년도예산년도과제접수번호사업명과제명(총괄)주관연구기관수행기관 과제번호과제구분수행기관 과제명상태활용구분출원명출원_등록구분출원(등록)국가출원(등록)기관출원일자기여율(퍼센트)출원번호등록번호# duplicates
02022202220200615자율운항선박 기술개발자율운항선박 기술개발(사)한국선급20200615-42공동자율운항 지원 및 사고대응 지원 기술 개발승인(확정)조사분석자율운항 선박의 사고 발생시 유관기관에 대응 메뉴얼을 제공하는 방법출원대한민국주식회사 지씨2022-08-31100.010-2022-0109815<NA>2