Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells5717
Missing cells (%)5.2%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory966.8 KiB
Average record size in memory99.0 B

Variable types

Categorical3
Text6
Numeric1
Boolean1

Dataset

Description재단에서 지원하는 일부 과제의 상세설명(대사업명, 중사업명, 소사업명, 연구책임자) 등 과제정보를 확인할수 있습니다
URLhttps://www.data.go.kr/data/3049029/fileData.do

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
선정년도 is highly overall correlated with 사업년도High correlation
사업년도 is highly overall correlated with 선정년도High correlation
대사업명 is highly imbalanced (51.1%)Imbalance
보안과제여부 is highly imbalanced (98.8%)Imbalance
세부사업명 has 5717 (57.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:33:25.835990
Analysis finished2023-12-12 07:33:28.736038
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
8289 
2023
1711 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 8289
82.9%
2023 1711
 
17.1%

Length

2023-12-12T16:33:28.814074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:28.933118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 8289
82.9%
2023 1711
 
17.1%

선정년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
8289 
2023
1711 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 8289
82.9%
2023 1711
 
17.1%

Length

2023-12-12T16:33:29.032864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:29.152552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 8289
82.9%
2023 1711
 
17.1%

대사업명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이공분야기초연구사업
5197 
학술·인문사회사업
3455 
원천기술개발사업
760 
국제기관간MOU지원사업
 
166
교육인력양성사업
 
143
Other values (6)
 
279

Length

Max length12
Median length10
Mean length9.4867
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학술·인문사회사업
2nd row교육인력양성사업
3rd row학술·인문사회사업
4th row학술·인문사회사업
5th row이공분야기초연구사업

Common Values

ValueCountFrequency (%)
이공분야기초연구사업 5197
52.0%
학술·인문사회사업 3455
34.5%
원천기술개발사업 760
 
7.6%
국제기관간MOU지원사업 166
 
1.7%
교육인력양성사업 143
 
1.4%
과학기술국제화사업 126
 
1.3%
원자력연구개발사업 56
 
0.6%
거대과학연구개발사업 38
 
0.4%
기초원천연구기획사업 27
 
0.3%
과학기술진흥기금사업 21
 
0.2%

Length

2023-12-12T16:33:29.265240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이공분야기초연구사업 5197
52.0%
학술·인문사회사업 3455
34.5%
원천기술개발사업 760
 
7.6%
국제기관간mou지원사업 166
 
1.7%
교육인력양성사업 143
 
1.4%
과학기술국제화사업 126
 
1.3%
원자력연구개발사업 56
 
0.6%
거대과학연구개발사업 38
 
0.4%
기초원천연구기획사업 27
 
0.3%
과학기술진흥기금사업 21
 
0.2%
Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:33:29.644120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length9.2525
Min length4

Characters and Unicode

Total characters92525
Distinct characters189
Distinct categories8 ?
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 row인문사회기초연구사업
2nd row인재활용확산지원
3rd row인문사회기초연구사업
4th row인문학진흥사업
5th row학문균형발전지원사업
ValueCountFrequency (%)
인문사회기초연구사업 3008
26.4%
중견연구자지원사업 1860
16.3%
기본연구 1189
 
10.4%
학문균형발전지원사업 769
 
6.8%
신진연구지원사업 533
 
4.7%
기초연구기반구축사업 516
 
4.5%
학술단체지원사업 307
 
2.7%
생애 187
 
1.6%
187
 
1.6%
연구 187
 
1.6%
Other values (113) 2635
23.2%
2023-12-12T16:33:30.148717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11514
 
12.4%
8494
 
9.2%
8173
 
8.8%
7666
 
8.3%
6404
 
6.9%
4064
 
4.4%
3956
 
4.3%
3924
 
4.2%
3662
 
4.0%
3296
 
3.6%
Other values (179) 31372
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89837
97.1%
Space Separator 1398
 
1.5%
Uppercase Letter 676
 
0.7%
Other Punctuation 264
 
0.3%
Close Punctuation 136
 
0.1%
Open Punctuation 136
 
0.1%
Decimal Number 56
 
0.1%
Dash Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11514
12.8%
8494
 
9.5%
8173
 
9.1%
7666
 
8.5%
6404
 
7.1%
4064
 
4.5%
3956
 
4.4%
3924
 
4.4%
3662
 
4.1%
3296
 
3.7%
Other values (161) 28684
31.9%
Uppercase Letter
ValueCountFrequency (%)
M 186
27.5%
U 180
26.6%
O 166
24.6%
R 32
 
4.7%
D 32
 
4.7%
C 28
 
4.1%
P 20
 
3.0%
I 20
 
3.0%
S 12
 
1.8%
Decimal Number
ValueCountFrequency (%)
0 28
50.0%
5 14
25.0%
3 14
25.0%
Other Punctuation
ValueCountFrequency (%)
· 232
87.9%
& 32
 
12.1%
Space Separator
ValueCountFrequency (%)
1398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89837
97.1%
Common 2012
 
2.2%
Latin 676
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11514
12.8%
8494
 
9.5%
8173
 
9.1%
7666
 
8.5%
6404
 
7.1%
4064
 
4.5%
3956
 
4.4%
3924
 
4.4%
3662
 
4.1%
3296
 
3.7%
Other values (161) 28684
31.9%
Common
ValueCountFrequency (%)
1398
69.5%
· 232
 
11.5%
) 136
 
6.8%
( 136
 
6.8%
& 32
 
1.6%
0 28
 
1.4%
- 22
 
1.1%
5 14
 
0.7%
3 14
 
0.7%
Latin
ValueCountFrequency (%)
M 186
27.5%
U 180
26.6%
O 166
24.6%
R 32
 
4.7%
D 32
 
4.7%
C 28
 
4.1%
P 20
 
3.0%
I 20
 
3.0%
S 12
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89837
97.1%
ASCII 2456
 
2.7%
None 232
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11514
12.8%
8494
 
9.5%
8173
 
9.1%
7666
 
8.5%
6404
 
7.1%
4064
 
4.5%
3956
 
4.4%
3924
 
4.4%
3662
 
4.1%
3296
 
3.7%
Other values (161) 28684
31.9%
ASCII
ValueCountFrequency (%)
1398
56.9%
M 186
 
7.6%
U 180
 
7.3%
O 166
 
6.8%
) 136
 
5.5%
( 136
 
5.5%
R 32
 
1.3%
& 32
 
1.3%
D 32
 
1.3%
C 28
 
1.1%
Other values (7) 130
 
5.3%
None
ValueCountFrequency (%)
· 232
100.0%
Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:33:30.428284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length9.4447
Min length4

Characters and Unicode

Total characters94447
Distinct characters279
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

Unique16 ?
Unique (%)0.2%

Sample

1st row학문후속세대양성
2nd row해외우수과학자유치사업(BP)
3rd row기초연구지원인문사회
4th row저술출판지원사업
5th row창의도전연구기반지원
ValueCountFrequency (%)
학문후속세대양성 2222
19.4%
기본연구 1189
 
10.4%
유형1-1)중견연구 1129
 
9.8%
기초연구지원인문사회 708
 
6.2%
창의도전연구기반지원 582
 
5.1%
신진연구자지원사업(인문사회 523
 
4.6%
유형1-2)중견연구 458
 
4.0%
우수신진연구 357
 
3.1%
연구 189
 
1.6%
생애 187
 
1.6%
Other values (238) 3927
34.2%
2023-12-12T16:33:30.923766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6105
 
6.5%
6008
 
6.4%
3574
 
3.8%
3524
 
3.7%
3201
 
3.4%
3198
 
3.4%
3028
 
3.2%
2815
 
3.0%
1 2716
 
2.9%
2582
 
2.7%
Other values (269) 57696
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82026
86.8%
Decimal Number 3353
 
3.6%
Close Punctuation 2484
 
2.6%
Open Punctuation 2484
 
2.6%
Dash Punctuation 1714
 
1.8%
Space Separator 1471
 
1.6%
Uppercase Letter 805
 
0.9%
Other Punctuation 101
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6105
 
7.4%
6008
 
7.3%
3574
 
4.4%
3524
 
4.3%
3201
 
3.9%
3198
 
3.9%
3028
 
3.7%
2815
 
3.4%
2582
 
3.1%
2576
 
3.1%
Other values (232) 45415
55.4%
Uppercase Letter
ValueCountFrequency (%)
R 152
18.9%
N 131
16.3%
F 124
15.4%
P 113
14.0%
B 97
12.0%
C 49
 
6.1%
S 28
 
3.5%
I 24
 
3.0%
M 23
 
2.9%
E 16
 
2.0%
Other values (6) 48
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
11.1%
g 1
11.1%
n 1
11.1%
i 1
11.1%
k 1
11.1%
r 1
11.1%
o 1
11.1%
t 1
11.1%
e 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2716
81.0%
2 581
 
17.3%
0 28
 
0.8%
3 14
 
0.4%
5 14
 
0.4%
Other Punctuation
ValueCountFrequency (%)
· 84
83.2%
/ 16
 
15.8%
& 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 2484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1714
100.0%
Space Separator
ValueCountFrequency (%)
1471
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82026
86.8%
Common 11607
 
12.3%
Latin 814
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6105
 
7.4%
6008
 
7.3%
3574
 
4.4%
3524
 
4.3%
3201
 
3.9%
3198
 
3.9%
3028
 
3.7%
2815
 
3.4%
2582
 
3.1%
2576
 
3.1%
Other values (232) 45415
55.4%
Latin
ValueCountFrequency (%)
R 152
18.7%
N 131
16.1%
F 124
15.2%
P 113
13.9%
B 97
11.9%
C 49
 
6.0%
S 28
 
3.4%
I 24
 
2.9%
M 23
 
2.8%
E 16
 
2.0%
Other values (15) 57
 
7.0%
Common
ValueCountFrequency (%)
1 2716
23.4%
) 2484
21.4%
( 2484
21.4%
- 1714
14.8%
1471
12.7%
2 581
 
5.0%
· 84
 
0.7%
0 28
 
0.2%
/ 16
 
0.1%
3 14
 
0.1%
Other values (2) 15
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82026
86.8%
ASCII 12337
 
13.1%
None 84
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6105
 
7.4%
6008
 
7.3%
3574
 
4.4%
3524
 
4.3%
3201
 
3.9%
3198
 
3.9%
3028
 
3.7%
2815
 
3.4%
2582
 
3.1%
2576
 
3.1%
Other values (232) 45415
55.4%
ASCII
ValueCountFrequency (%)
1 2716
22.0%
) 2484
20.1%
( 2484
20.1%
- 1714
13.9%
1471
11.9%
2 581
 
4.7%
R 152
 
1.2%
N 131
 
1.1%
F 124
 
1.0%
P 113
 
0.9%
Other values (26) 367
 
3.0%
None
ValueCountFrequency (%)
· 84
100.0%

세부사업명
Text

MISSING 

Distinct98
Distinct (%)2.3%
Missing5717
Missing (%)57.2%
Memory size156.2 KiB
2023-12-12T16:33:31.355716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length13.647443
Min length3

Characters and Unicode

Total characters58452
Distinct characters226
Distinct categories11 ?
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 (%)0.4%

Sample

1st row(B유형) 인문사회학술연구교수
2nd row해외우수과학자유치사업(BP)유형1
3rd row중견연구자지원사업
4th row창의도전연구기반지원
5th row(A유형) 인문사회학술연구교수
ValueCountFrequency (%)
인문사회학술연구교수 1714
25.9%
b유형 1185
17.9%
중견연구자지원사업 602
 
9.1%
창의도전연구기반지원 582
 
8.8%
a유형 529
 
8.0%
이공분야학문후속세대양성_박사후국내연수 237
 
3.6%
박사과정생연구장려금지원 210
 
3.2%
중견후속연구(연평균연구비 106
 
1.6%
이내 106
 
1.6%
공동연구지원사업 93
 
1.4%
Other values (149) 1244
18.8%
2023-12-12T16:33:31.879523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4005
 
6.9%
3595
 
6.2%
3178
 
5.4%
2325
 
4.0%
2260
 
3.9%
2118
 
3.6%
2066
 
3.5%
( 1989
 
3.4%
) 1989
 
3.4%
1923
 
3.3%
Other values (216) 33004
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48883
83.6%
Space Separator 2325
 
4.0%
Uppercase Letter 2201
 
3.8%
Open Punctuation 1989
 
3.4%
Close Punctuation 1989
 
3.4%
Connector Punctuation 319
 
0.5%
Lowercase Letter 285
 
0.5%
Decimal Number 261
 
0.4%
Dash Punctuation 88
 
0.2%
Math Symbol 57
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4005
 
8.2%
3595
 
7.4%
3178
 
6.5%
2260
 
4.6%
2118
 
4.3%
2066
 
4.2%
1923
 
3.9%
1905
 
3.9%
1869
 
3.8%
1849
 
3.8%
Other values (166) 24115
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 1278
58.1%
A 533
24.2%
P 108
 
4.9%
S 50
 
2.3%
D 49
 
2.2%
R 48
 
2.2%
E 23
 
1.0%
G 20
 
0.9%
K 16
 
0.7%
Y 16
 
0.7%
Other values (8) 60
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
t 33
11.6%
i 33
11.6%
o 26
9.1%
e 24
8.4%
n 24
8.4%
g 21
7.4%
s 20
 
7.0%
m 20
 
7.0%
u 18
 
6.3%
l 16
 
5.6%
Other values (7) 50
17.5%
Decimal Number
ValueCountFrequency (%)
1 138
52.9%
2 101
38.7%
4 17
 
6.5%
3 4
 
1.5%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
& 47
85.5%
/ 4
 
7.3%
· 3
 
5.5%
? 1
 
1.8%
Space Separator
ValueCountFrequency (%)
2325
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1989
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1989
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48883
83.6%
Common 7083
 
12.1%
Latin 2486
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4005
 
8.2%
3595
 
7.4%
3178
 
6.5%
2260
 
4.6%
2118
 
4.3%
2066
 
4.2%
1923
 
3.9%
1905
 
3.9%
1869
 
3.8%
1849
 
3.8%
Other values (166) 24115
49.3%
Latin
ValueCountFrequency (%)
B 1278
51.4%
A 533
21.4%
P 108
 
4.3%
S 50
 
2.0%
D 49
 
2.0%
R 48
 
1.9%
t 33
 
1.3%
i 33
 
1.3%
o 26
 
1.0%
e 24
 
1.0%
Other values (25) 304
 
12.2%
Common
ValueCountFrequency (%)
2325
32.8%
( 1989
28.1%
) 1989
28.1%
_ 319
 
4.5%
1 138
 
1.9%
2 101
 
1.4%
- 88
 
1.2%
~ 57
 
0.8%
& 47
 
0.7%
4 17
 
0.2%
Other values (5) 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48883
83.6%
ASCII 9566
 
16.4%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4005
 
8.2%
3595
 
7.4%
3178
 
6.5%
2260
 
4.6%
2118
 
4.3%
2066
 
4.2%
1923
 
3.9%
1905
 
3.9%
1869
 
3.8%
1849
 
3.8%
Other values (166) 24115
49.3%
ASCII
ValueCountFrequency (%)
2325
24.3%
( 1989
20.8%
) 1989
20.8%
B 1278
13.4%
A 533
 
5.6%
_ 319
 
3.3%
1 138
 
1.4%
P 108
 
1.1%
2 101
 
1.1%
- 88
 
0.9%
Other values (39) 698
 
7.3%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct9982
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:33:32.244171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length185
Median length101
Mean length40.05
Min length2

Characters and Unicode

Total characters400500
Distinct characters1926
Distinct categories18 ?
Distinct scripts8 ?
Distinct blocks15 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9967 ?
Unique (%)99.7%

Sample

1st row취미판단에서 개별과 보편의 관계 ? 예술 인지주의를 옹호하며
2nd row당뇨병을 위한 밀크 엑소좀 기반 경구 투여용 핵산 치료제 개발
3rd row실직자들의 울분 감소 프로그램 개발과 효과 평가
4th row한국 여성스포츠의 인플루언서
5th row레이저 광반응으로 제조된 촉매를 이용한 전기화학적 이산화탄소 환원 반응 메커니즘 규명
ValueCountFrequency (%)
연구 2980
 
3.2%
2859
 
3.0%
개발 2557
 
2.7%
위한 1783
 
1.9%
기반 1224
 
1.3%
통한 821
 
0.9%
이용한 717
 
0.8%
중심으로 647
 
0.7%
대한 643
 
0.7%
기술 567
 
0.6%
Other values (32177) 79311
84.3%
2023-12-12T16:33:32.802898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85850
 
21.4%
7743
 
1.9%
6744
 
1.7%
6714
 
1.7%
5015
 
1.3%
4944
 
1.2%
4298
 
1.1%
4288
 
1.1%
3949
 
1.0%
3682
 
0.9%
Other values (1916) 267273
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277178
69.2%
Space Separator 85867
 
21.4%
Lowercase Letter 14092
 
3.5%
Uppercase Letter 9172
 
2.3%
Decimal Number 4853
 
1.2%
Other Punctuation 3269
 
0.8%
Dash Punctuation 1979
 
0.5%
Close Punctuation 1601
 
0.4%
Open Punctuation 1600
 
0.4%
Final Punctuation 294
 
0.1%
Other values (8) 595
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7743
 
2.8%
6744
 
2.4%
6714
 
2.4%
5015
 
1.8%
4944
 
1.8%
4298
 
1.6%
4288
 
1.5%
3949
 
1.4%
3682
 
1.3%
3578
 
1.3%
Other values (1759) 226223
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 1560
11.1%
i 1475
10.5%
o 1181
 
8.4%
a 1170
 
8.3%
n 1141
 
8.1%
r 951
 
6.7%
t 950
 
6.7%
l 773
 
5.5%
s 771
 
5.5%
c 600
 
4.3%
Other values (44) 3520
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 1034
 
11.3%
C 702
 
7.7%
M 637
 
6.9%
R 619
 
6.7%
S 605
 
6.6%
I 605
 
6.6%
D 577
 
6.3%
P 544
 
5.9%
N 487
 
5.3%
T 483
 
5.3%
Other values (20) 2879
31.4%
Other Punctuation
ValueCountFrequency (%)
: 1055
32.3%
, 886
27.1%
? 394
 
12.1%
/ 390
 
11.9%
· 301
 
9.2%
. 91
 
2.8%
' 83
 
2.5%
& 26
 
0.8%
; 16
 
0.5%
% 10
 
0.3%
Other values (7) 17
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 1144
23.6%
1 845
17.4%
0 719
14.8%
3 671
13.8%
4 345
 
7.1%
9 331
 
6.8%
6 255
 
5.3%
7 195
 
4.0%
5 178
 
3.7%
8 168
 
3.5%
Other values (2) 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 97
34.5%
< 95
33.8%
~ 51
18.1%
+ 18
 
6.4%
6
 
2.1%
6
 
2.1%
= 3
 
1.1%
2
 
0.7%
1
 
0.4%
× 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1383
86.4%
171
 
10.7%
22
 
1.4%
12
 
0.8%
[ 8
 
0.5%
2
 
0.1%
2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1383
86.4%
172
 
10.7%
22
 
1.4%
12
 
0.7%
] 8
 
0.5%
2
 
0.1%
2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1954
98.7%
24
 
1.2%
1
 
0.1%
Other Symbol
ValueCountFrequency (%)
° 3
50.0%
2
33.3%
1
 
16.7%
Other Number
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Space Separator
ValueCountFrequency (%)
85850
> 99.9%
  17
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
262
89.4%
31
 
10.6%
Final Punctuation
ValueCountFrequency (%)
262
89.1%
32
 
10.9%
Format
ValueCountFrequency (%)
­ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275495
68.8%
Common 100056
 
25.0%
Latin 23176
 
5.8%
Han 1663
 
0.4%
Cyrillic 46
 
< 0.1%
Greek 44
 
< 0.1%
Hiragana 15
 
< 0.1%
Katakana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7743
 
2.8%
6744
 
2.4%
6714
 
2.4%
5015
 
1.8%
4944
 
1.8%
4298
 
1.6%
4288
 
1.6%
3949
 
1.4%
3682
 
1.3%
3578
 
1.3%
Other values (1021) 224540
81.5%
Han
ValueCountFrequency (%)
33
 
2.0%
28
 
1.7%
24
 
1.4%
17
 
1.0%
17
 
1.0%
15
 
0.9%
15
 
0.9%
13
 
0.8%
13
 
0.8%
12
 
0.7%
Other values (713) 1476
88.8%
Common
ValueCountFrequency (%)
85850
85.8%
- 1954
 
2.0%
( 1383
 
1.4%
) 1383
 
1.4%
2 1144
 
1.1%
: 1055
 
1.1%
, 886
 
0.9%
1 845
 
0.8%
0 719
 
0.7%
3 671
 
0.7%
Other values (62) 4166
 
4.2%
Latin
ValueCountFrequency (%)
e 1560
 
6.7%
i 1475
 
6.4%
o 1181
 
5.1%
a 1170
 
5.0%
n 1141
 
4.9%
A 1034
 
4.5%
r 951
 
4.1%
t 950
 
4.1%
l 773
 
3.3%
s 771
 
3.3%
Other values (43) 12170
52.5%
Cyrillic
ValueCountFrequency (%)
о 8
17.4%
в 4
 
8.7%
л 4
 
8.7%
к 4
 
8.7%
с 3
 
6.5%
а 3
 
6.5%
ы 2
 
4.3%
р 2
 
4.3%
и 2
 
4.3%
г 2
 
4.3%
Other values (11) 12
26.1%
Greek
ValueCountFrequency (%)
γ 10
22.7%
β 9
20.5%
δ 8
18.2%
α 5
11.4%
π 3
 
6.8%
μ 3
 
6.8%
η 2
 
4.5%
ν 1
 
2.3%
ω 1
 
2.3%
σ 1
 
2.3%
Hiragana
ValueCountFrequency (%)
4
26.7%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275474
68.8%
ASCII 121844
30.4%
CJK 1644
 
0.4%
None 798
 
0.2%
Punctuation 611
 
0.2%
Cyrillic 46
 
< 0.1%
Compat Jamo 21
 
< 0.1%
CJK Compat Ideographs 19
 
< 0.1%
Math Operators 15
 
< 0.1%
Hiragana 15
 
< 0.1%
Other values (5) 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85850
70.5%
- 1954
 
1.6%
e 1560
 
1.3%
i 1475
 
1.2%
( 1383
 
1.1%
) 1383
 
1.1%
o 1181
 
1.0%
a 1170
 
1.0%
2 1144
 
0.9%
n 1141
 
0.9%
Other values (78) 23603
 
19.4%
Hangul
ValueCountFrequency (%)
7743
 
2.8%
6744
 
2.4%
6714
 
2.4%
5015
 
1.8%
4944
 
1.8%
4298
 
1.6%
4288
 
1.6%
3949
 
1.4%
3682
 
1.3%
3578
 
1.3%
Other values (1015) 224519
81.5%
None
ValueCountFrequency (%)
· 301
37.7%
172
21.6%
171
21.4%
22
 
2.8%
22
 
2.8%
  17
 
2.1%
12
 
1.5%
12
 
1.5%
γ 10
 
1.3%
β 9
 
1.1%
Other values (23) 50
 
6.3%
Punctuation
ValueCountFrequency (%)
262
42.9%
262
42.9%
32
 
5.2%
31
 
5.1%
24
 
3.9%
CJK
ValueCountFrequency (%)
33
 
2.0%
28
 
1.7%
24
 
1.5%
17
 
1.0%
17
 
1.0%
15
 
0.9%
15
 
0.9%
13
 
0.8%
13
 
0.8%
12
 
0.7%
Other values (699) 1457
88.6%
Compat Jamo
ValueCountFrequency (%)
16
76.2%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Cyrillic
ValueCountFrequency (%)
о 8
17.4%
в 4
 
8.7%
л 4
 
8.7%
к 4
 
8.7%
с 3
 
6.5%
а 3
 
6.5%
ы 2
 
4.3%
р 2
 
4.3%
и 2
 
4.3%
г 2
 
4.3%
Other values (11) 12
26.1%
Math Operators
ValueCountFrequency (%)
6
40.0%
6
40.0%
2
 
13.3%
1
 
6.7%
Hiragana
ValueCountFrequency (%)
4
26.7%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
CJK Compat Ideographs
ValueCountFrequency (%)
3
15.8%
3
15.8%
2
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (4) 4
21.1%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct7950
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:33:33.162881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length3
Mean length3.1797
Min length2

Characters and Unicode

Total characters31797
Distinct characters430
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

Unique6640 ?
Unique (%)66.4%

Sample

1st row한혜정
2nd row김선화
3rd row김민선
4th row천호준
5th row센틸 라자 아르무감
ValueCountFrequency (%)
김상현 10
 
0.1%
김지영 10
 
0.1%
김은정 9
 
0.1%
김진영 9
 
0.1%
이은주 9
 
0.1%
이지연 9
 
0.1%
김경민 9
 
0.1%
김주현 8
 
0.1%
lee 8
 
0.1%
김선영 8
 
0.1%
Other values (8103) 10122
99.1%
2023-12-12T16:33:33.772794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2032
 
6.4%
1569
 
4.9%
1159
 
3.6%
896
 
2.8%
718
 
2.3%
701
 
2.2%
605
 
1.9%
572
 
1.8%
505
 
1.6%
502
 
1.6%
Other values (420) 22538
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29544
92.9%
Uppercase Letter 1405
 
4.4%
Lowercase Letter 629
 
2.0%
Space Separator 211
 
0.7%
Dash Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2032
 
6.9%
1569
 
5.3%
1159
 
3.9%
896
 
3.0%
718
 
2.4%
701
 
2.4%
605
 
2.0%
572
 
1.9%
505
 
1.7%
502
 
1.7%
Other values (363) 20285
68.7%
Uppercase Letter
ValueCountFrequency (%)
A 202
14.4%
N 126
 
9.0%
H 100
 
7.1%
I 99
 
7.0%
E 83
 
5.9%
S 80
 
5.7%
M 75
 
5.3%
U 73
 
5.2%
O 70
 
5.0%
R 69
 
4.9%
Other values (16) 428
30.5%
Lowercase Letter
ValueCountFrequency (%)
a 105
16.7%
n 64
10.2%
e 50
 
7.9%
i 46
 
7.3%
o 46
 
7.3%
h 45
 
7.2%
r 38
 
6.0%
u 32
 
5.1%
g 28
 
4.5%
t 26
 
4.1%
Other values (15) 149
23.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29544
92.9%
Latin 2034
 
6.4%
Common 219
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2032
 
6.9%
1569
 
5.3%
1159
 
3.9%
896
 
3.0%
718
 
2.4%
701
 
2.4%
605
 
2.0%
572
 
1.9%
505
 
1.7%
502
 
1.7%
Other values (363) 20285
68.7%
Latin
ValueCountFrequency (%)
A 202
 
9.9%
N 126
 
6.2%
a 105
 
5.2%
H 100
 
4.9%
I 99
 
4.9%
E 83
 
4.1%
S 80
 
3.9%
M 75
 
3.7%
U 73
 
3.6%
O 70
 
3.4%
Other values (41) 1021
50.2%
Common
ValueCountFrequency (%)
211
96.3%
- 2
 
0.9%
) 2
 
0.9%
( 2
 
0.9%
, 1
 
0.5%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29544
92.9%
ASCII 2253
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2032
 
6.9%
1569
 
5.3%
1159
 
3.9%
896
 
3.0%
718
 
2.4%
701
 
2.4%
605
 
2.0%
572
 
1.9%
505
 
1.7%
502
 
1.7%
Other values (363) 20285
68.7%
ASCII
ValueCountFrequency (%)
211
 
9.4%
A 202
 
9.0%
N 126
 
5.6%
a 105
 
4.7%
H 100
 
4.4%
I 99
 
4.4%
E 83
 
3.7%
S 80
 
3.6%
M 75
 
3.3%
U 73
 
3.2%
Other values (47) 1099
48.8%

연구자번호
Real number (ℝ)

Distinct9608
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10896130
Minimum10002063
Maximum13057270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:33:33.977458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10002063
5-th percentile10044689
Q110143555
median10915262
Q311413154
95-th percentile12525839
Maximum13057270
Range3055207
Interquartile range (IQR)1269598.8

Descriptive statistics

Standard deviation782856.19
Coefficient of variation (CV)0.071847179
Kurtosis-0.40139334
Mean10896130
Median Absolute Deviation (MAD)735675
Skewness0.66064974
Sum1.089613 × 1011
Variance6.1286381 × 1011
MonotonicityNot monotonic
2023-12-12T16:33:34.182121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10099205 4
 
< 0.1%
10206488 4
 
< 0.1%
10146941 4
 
< 0.1%
10890856 3
 
< 0.1%
10084767 3
 
< 0.1%
11406040 3
 
< 0.1%
10196754 3
 
< 0.1%
10121810 3
 
< 0.1%
10179155 3
 
< 0.1%
10174629 3
 
< 0.1%
Other values (9598) 9967
99.7%
ValueCountFrequency (%)
10002063 1
< 0.1%
10002094 1
< 0.1%
10002196 1
< 0.1%
10002271 1
< 0.1%
10002322 1
< 0.1%
10002460 1
< 0.1%
10002538 1
< 0.1%
10002579 1
< 0.1%
10002628 1
< 0.1%
10002632 1
< 0.1%
ValueCountFrequency (%)
13057270 1
< 0.1%
13053028 1
< 0.1%
13048146 1
< 0.1%
13039231 1
< 0.1%
13013312 1
< 0.1%
13004168 1
< 0.1%
12990735 1
< 0.1%
12986173 1
< 0.1%
12985664 1
< 0.1%
12984284 1
< 0.1%
Distinct877
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:33:34.483772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length5
Mean length6.7537
Min length4

Characters and Unicode

Total characters67537
Distinct characters423
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

Unique550 ?
Unique (%)5.5%

Sample

1st row사단법인 한국인문사회총연합회
2nd row한국과학기술연구원
3rd row단국대학교(천안캠퍼스)
4th row우석대학교
5th row경상국립대학교
ValueCountFrequency (%)
서울대학교 629
 
5.9%
연세대학교 422
 
4.0%
사단법인 350
 
3.3%
부산대학교 340
 
3.2%
한국인문사회총연합회 340
 
3.2%
고려대학교 312
 
2.9%
성균관대학교 308
 
2.9%
경북대학교 281
 
2.6%
한국과학기술원 219
 
2.1%
전남대학교 209
 
2.0%
Other values (911) 7265
68.1%
2023-12-12T16:33:34.855783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9334
 
13.8%
8335
 
12.3%
8333
 
12.3%
2356
 
3.5%
2053
 
3.0%
1504
 
2.2%
1277
 
1.9%
1145
 
1.7%
1129
 
1.7%
1110
 
1.6%
Other values (413) 30961
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64670
95.8%
Uppercase Letter 823
 
1.2%
Space Separator 676
 
1.0%
Open Punctuation 630
 
0.9%
Close Punctuation 630
 
0.9%
Lowercase Letter 92
 
0.1%
Decimal Number 7
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9334
 
14.4%
8335
 
12.9%
8333
 
12.9%
2356
 
3.6%
2053
 
3.2%
1504
 
2.3%
1277
 
2.0%
1145
 
1.8%
1129
 
1.7%
1110
 
1.7%
Other values (371) 28094
43.4%
Lowercase Letter
ValueCountFrequency (%)
e 20
21.7%
r 13
14.1%
a 9
9.8%
n 8
 
8.7%
o 8
 
8.7%
t 6
 
6.5%
h 6
 
6.5%
s 5
 
5.4%
c 4
 
4.3%
i 4
 
4.3%
Other values (6) 9
9.8%
Uppercase Letter
ValueCountFrequency (%)
C 135
16.4%
I 129
15.7%
E 124
15.1%
A 123
14.9%
R 92
11.2%
L 71
8.6%
O 35
 
4.3%
G 35
 
4.3%
S 32
 
3.9%
W 32
 
3.9%
Other values (5) 15
 
1.8%
Decimal Number
ValueCountFrequency (%)
9 2
28.6%
3 2
28.6%
6 1
14.3%
1 1
14.3%
2 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
· 3
50.0%
Space Separator
ValueCountFrequency (%)
676
100.0%
Open Punctuation
ValueCountFrequency (%)
( 630
100.0%
Close Punctuation
ValueCountFrequency (%)
) 630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64670
95.8%
Common 1952
 
2.9%
Latin 915
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9334
 
14.4%
8335
 
12.9%
8333
 
12.9%
2356
 
3.6%
2053
 
3.2%
1504
 
2.3%
1277
 
2.0%
1145
 
1.8%
1129
 
1.7%
1110
 
1.7%
Other values (371) 28094
43.4%
Latin
ValueCountFrequency (%)
C 135
14.8%
I 129
14.1%
E 124
13.6%
A 123
13.4%
R 92
10.1%
L 71
7.8%
O 35
 
3.8%
G 35
 
3.8%
S 32
 
3.5%
W 32
 
3.5%
Other values (21) 107
11.7%
Common
ValueCountFrequency (%)
676
34.6%
( 630
32.3%
) 630
32.3%
. 3
 
0.2%
- 3
 
0.2%
· 3
 
0.2%
9 2
 
0.1%
3 2
 
0.1%
6 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64670
95.8%
ASCII 2864
 
4.2%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9334
 
14.4%
8335
 
12.9%
8333
 
12.9%
2356
 
3.6%
2053
 
3.2%
1504
 
2.3%
1277
 
2.0%
1145
 
1.8%
1129
 
1.7%
1110
 
1.7%
Other values (371) 28094
43.4%
ASCII
ValueCountFrequency (%)
676
23.6%
( 630
22.0%
) 630
22.0%
C 135
 
4.7%
I 129
 
4.5%
E 124
 
4.3%
A 123
 
4.3%
R 92
 
3.2%
L 71
 
2.5%
O 35
 
1.2%
Other values (31) 219
 
7.6%
None
ValueCountFrequency (%)
· 3
100.0%

보안과제여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9989 
True
 
11
ValueCountFrequency (%)
False 9989
99.9%
True 11
 
0.1%
2023-12-12T16:33:34.979102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T16:33:28.323347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:33:35.039716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업년도선정년도대사업명중사업명세부사업명연구자번호보안과제여부
사업년도1.0001.0000.2570.5050.7510.1480.000
선정년도1.0001.0000.2570.5050.7510.1480.000
대사업명0.2570.2571.0001.0001.0000.2150.160
중사업명0.5050.5051.0001.0001.0000.4990.235
세부사업명0.7510.7511.0001.0001.0000.6080.686
연구자번호0.1480.1480.2150.4990.6081.0000.024
보안과제여부0.0000.0000.1600.2350.6860.0241.000
2023-12-12T16:33:35.149565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선정년도보안과제여부사업년도대사업명
선정년도1.0000.0001.0000.246
보안과제여부0.0001.0000.0000.153
사업년도1.0000.0001.0000.246
대사업명0.2460.1530.2461.000
2023-12-12T16:33:35.273288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구자번호사업년도선정년도대사업명보안과제여부
연구자번호1.0000.1140.1140.0930.019
사업년도0.1141.0001.0000.2460.000
선정년도0.1141.0001.0000.2460.000
대사업명0.0930.2460.2461.0000.153
보안과제여부0.0190.0000.0000.1531.000

Missing values

2023-12-12T16:33:28.485681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:33:28.656108image/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

사업년도선정년도대사업명중사업명소사업명세부사업명과제명연구책임자명연구자번호주관기관명보안과제여부
923620222022학술·인문사회사업인문사회기초연구사업학문후속세대양성(B유형) 인문사회학술연구교수취미판단에서 개별과 보편의 관계 ? 예술 인지주의를 옹호하며한혜정12721828사단법인 한국인문사회총연합회N
1132820222022교육인력양성사업인재활용확산지원해외우수과학자유치사업(BP)해외우수과학자유치사업(BP)유형1당뇨병을 위한 밀크 엑소좀 기반 경구 투여용 핵산 치료제 개발김선화10181476한국과학기술연구원N
778520222022학술·인문사회사업인문사회기초연구사업기초연구지원인문사회중견연구자지원사업실직자들의 울분 감소 프로그램 개발과 효과 평가김민선11469431단국대학교(천안캠퍼스)N
1511320232023학술·인문사회사업인문학진흥사업저술출판지원사업<NA>한국 여성스포츠의 인플루언서천호준10037824우석대학교N
928920222022이공분야기초연구사업학문균형발전지원사업창의도전연구기반지원창의도전연구기반지원레이저 광반응으로 제조된 촉매를 이용한 전기화학적 이산화탄소 환원 반응 메커니즘 규명센틸 라자 아르무감12610490경상국립대학교N
616620222022이공분야기초연구사업리더연구자지원사업리더연구<NA>중성미자공학의 서막유종희11628518서울대학교N
486820222022이공분야기초연구사업기본연구기본연구<NA>DNA 슈퍼코일 모형의 활용과 3차원 격자모델의 계수오승상10106799고려대학교N
543520222022이공분야기초연구사업기본연구기본연구<NA>간호사의 법적의무준수 및 안전간호활동 강화를 위한 메타버스 기반 (meta-CASE) 프로그램 개발 및 평가이여진10078896한양대학교N
501620222022이공분야기초연구사업기본연구기본연구<NA>다중계층데이터의 지능적 분석 및 결합을 통한 비즈니스 기회발굴을 위한 통합 자동화 모델 개발손창호10827026육군3사관학교N
995220222022학술·인문사회사업인문사회기초연구사업학문후속세대양성(A유형) 인문사회학술연구교수접촉지대(Contact?Zone)로서의?한국?사진과?근현대?문화?형성기?글로벌?네트워크오혜리12878017명지대학교(서울캠퍼스)N
사업년도선정년도대사업명중사업명소사업명세부사업명과제명연구책임자명연구자번호주관기관명보안과제여부
1223320222022학술·인문사회사업인문사회기초연구사업학문후속세대양성(B유형) 인문사회학술연구교수빅데이터 분석 기법을 활용한 영어교육 관련 언론 기사 분석김영우10116087사단법인 한국인문사회총연합회N
566620222022이공분야기초연구사업기초연구기반구축사업학문후속세대양성이공분야학문후속세대양성_박사후국내연수치수 줄기세포 유래 엑소좀을 이용한 다발성 경화증의 새로운 치료전략 탐색 및 연구박초연11676719서울대학교N
90420222022이공분야기초연구사업중견연구자지원사업(유형2)중견연구<NA>만성 간질환에서 liver sinusoidal endothelial cell (LSEC)의 기능 제어물질 탐구권효정10864259충남대학교N
14220222022과학기술진흥기금사업과학기술진흥기금사업과학기술진흥기금사업<NA>국립법인과학관운영(2022)전태호12734720국립광주과학관N
1105720222022이공분야기초연구사업학문균형발전지원사업창의도전연구기반지원창의도전연구기반지원양의 정부호 작용소의 다변수 기하평균 연구와 활용황진미11618181성균관대학교N
503920222022이공분야기초연구사업기본연구기본연구<NA>다중 아형 심근세포를 이용한 장기 유사성이 향상된 체외 심근 허혈·재관류 손상모델 개발전령훈11048424대구경북첨단의료산업진흥재단N
1126020222022학술·인문사회사업인문사회기초연구사업학문후속세대양성(B유형) 인문사회학술연구교수코로나 19 이후 교육 회복을 위한 체육수업(건강영역) 모듈 개발이기대11889064서울대학교N
293020222022이공분야기초연구사업중견연구자지원사업(유형1-1)중견연구<NA>세르톨리세포와 레이디히세포와의 공배양 시스템을 통한 인간 전분화능 줄기세포 유래-골격근 오가노이드 내 근육줄기세포의 증식 및 분화 조절이동율10091391차의과학대학교N
66020222022이공분야기초연구사업중견연구자지원사업(유형1-1)중견연구<NA>저복잡도 머신러닝 기반 3차원 멀티레벨 A2X 네트워크 원천기술 개발이호원10941924한경국립대학교N
587020222022이공분야기초연구사업기초연구기반구축사업학문후속세대양성이공분야학문후속세대양성_박사후국내연수인공지능 기반의 바이오 케미컬 구조 데이터 자기지도 학습 기반 특성 예측 모델 개발조정희11155443한국과학기술연구원N

Duplicate rows

Most frequently occurring

사업년도선정년도대사업명중사업명소사업명세부사업명과제명연구책임자명연구자번호주관기관명보안과제여부# duplicates
020222022과학기술국제화사업국제화기반조성사업해외협력기반조성-국가간협력기반조성사업한-캐나다 협력기반조성사업스마트 하이브리드 항균성 코팅이동욱11555018울산과학기술원N2
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