Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells6438
Missing cells (%)1.8%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory2.9 MiB
Average record size in memory300.0 B

Variable types

Categorical16
Numeric3
Text12
DateTime3
Boolean2

Dataset

Description이공계 연구개발사업 결과로 제출하는 연구보고서를 연구자 및 대국민에게 서비스로 2013년부터 2020년까지의 연구보고서입니다. 사업년도와 과제정보(과제명 , 과제상태, 주관기관명, 보고서 제출내용) 등이 있습니다
URLhttps://www.data.go.kr/data/3033785/fileData.do

Alerts

보고서구분 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
대사업명 is highly imbalanced (59.0%)Imbalance
과제형태 is highly imbalanced (70.8%)Imbalance
신규/계속구분 is highly imbalanced (58.1%)Imbalance
과제상태 is highly imbalanced (78.1%)Imbalance
산학연구분 is highly imbalanced (61.9%)Imbalance
제출상태 is highly imbalanced (62.4%)Imbalance
종료전소속기관 is highly imbalanced (55.5%)Imbalance
종료후기관변경여부 is highly imbalanced (53.5%)Imbalance
종료후(예정)기관 is highly imbalanced (50.3%)Imbalance
신분변동사항사유 is highly imbalanced (60.7%)Imbalance
보안과제여부 is highly imbalanced (98.5%)Imbalance
배포제한여부 is highly imbalanced (60.2%)Imbalance
세부사업명 has 5868 (58.7%) missing valuesMissing
배포제한여부 has 492 (4.9%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:35:45.436944
Analysis finished2023-12-11 23:35:47.931362
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업년도
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
8562 
2023
1438 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 8562
85.6%
2023 1438
 
14.4%

Length

2023-12-12T08:35:47.979706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:48.055106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 8562
85.6%
2023 1438
 
14.4%

선정년도
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.608
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:35:48.148947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2017
Q12019
median2020
Q32020
95-th percentile2022
Maximum2023
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5323742
Coefficient of variation (CV)0.00075874835
Kurtosis3.4481611
Mean2019.608
Median Absolute Deviation (MAD)1
Skewness-1.2943386
Sum20196080
Variance2.3481708
MonotonicityNot monotonic
2023-12-12T08:35:48.245918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2020 4552
45.5%
2019 1425
 
14.2%
2021 1206
 
12.1%
2018 1112
 
11.1%
2022 883
 
8.8%
2017 419
 
4.2%
2016 261
 
2.6%
2013 64
 
0.6%
2014 34
 
0.3%
2012 26
 
0.3%
Other values (2) 18
 
0.2%
ValueCountFrequency (%)
2012 26
 
0.3%
2013 64
 
0.6%
2014 34
 
0.3%
2015 17
 
0.2%
2016 261
 
2.6%
2017 419
 
4.2%
2018 1112
 
11.1%
2019 1425
 
14.2%
2020 4552
45.5%
2021 1206
 
12.1%
ValueCountFrequency (%)
2023 1
 
< 0.1%
2022 883
 
8.8%
2021 1206
 
12.1%
2020 4552
45.5%
2019 1425
 
14.2%
2018 1112
 
11.1%
2017 419
 
4.2%
2016 261
 
2.6%
2015 17
 
0.2%
2014 34
 
0.3%
Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:48.561919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length7.2396
Min length6

Characters and Unicode

Total characters72396
Distinct characters24
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.3%

Sample

1st rowM3E5D1A01
2nd rowR1C1C1
3rd rowM2E8A1
4th rowR1A2B3
5th rowR1D1A1B07
ValueCountFrequency (%)
r1i1a1a01 1492
 
14.9%
r1f1a1 1476
 
14.8%
r1a2c1 673
 
6.7%
r1c1c1 527
 
5.3%
r1d1a1b07 473
 
4.7%
r1a2c2 363
 
3.6%
r1a6a3a13 315
 
3.1%
r1g1a1 308
 
3.1%
r1i1a3 212
 
2.1%
r1i1a3a01 185
 
1.8%
Other values (214) 3976
39.8%
2023-12-12T08:35:49.044423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23456
32.4%
A 13396
18.5%
R 7513
 
10.4%
0 3680
 
5.1%
3 3594
 
5.0%
2 3401
 
4.7%
C 2667
 
3.7%
I 2085
 
2.9%
M 1749
 
2.4%
B 1706
 
2.4%
Other values (14) 9149
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38264
52.9%
Uppercase Letter 34132
47.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 13396
39.2%
R 7513
22.0%
C 2667
 
7.8%
I 2085
 
6.1%
M 1749
 
5.1%
B 1706
 
5.0%
F 1686
 
4.9%
D 1478
 
4.3%
E 619
 
1.8%
H 430
 
1.3%
Other values (4) 803
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 23456
61.3%
0 3680
 
9.6%
3 3594
 
9.4%
2 3401
 
8.9%
6 860
 
2.2%
5 825
 
2.2%
7 795
 
2.1%
4 780
 
2.0%
9 631
 
1.6%
8 242
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 38264
52.9%
Latin 34132
47.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 13396
39.2%
R 7513
22.0%
C 2667
 
7.8%
I 2085
 
6.1%
M 1749
 
5.1%
B 1706
 
5.0%
F 1686
 
4.9%
D 1478
 
4.3%
E 619
 
1.8%
H 430
 
1.3%
Other values (4) 803
 
2.4%
Common
ValueCountFrequency (%)
1 23456
61.3%
0 3680
 
9.6%
3 3594
 
9.4%
2 3401
 
8.9%
6 860
 
2.2%
5 825
 
2.2%
7 795
 
2.1%
4 780
 
2.0%
9 631
 
1.6%
8 242
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23456
32.4%
A 13396
18.5%
R 7513
 
10.4%
0 3680
 
5.1%
3 3594
 
5.0%
2 3401
 
4.7%
C 2667
 
3.7%
I 2085
 
2.9%
M 1749
 
2.4%
B 1706
 
2.4%
Other values (14) 9149
 
12.6%

대사업명
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이공분야기초연구사업
7481 
원천기술개발사업
1369 
교육인력양성사업
 
318
원자력연구개발사업
 
286
학술·인문사회사업
 
174
Other values (5)
 
372

Length

Max length12
Median length10
Mean length9.5931
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천기술개발사업
2nd row이공분야기초연구사업
3rd row원자력연구개발사업
4th row이공분야기초연구사업
5th row이공분야기초연구사업

Common Values

ValueCountFrequency (%)
이공분야기초연구사업 7481
74.8%
원천기술개발사업 1369
 
13.7%
교육인력양성사업 318
 
3.2%
원자력연구개발사업 286
 
2.9%
학술·인문사회사업 174
 
1.7%
과학기술국제화사업 173
 
1.7%
거대과학연구개발사업 94
 
0.9%
국제기관간MOU지원사업 47
 
0.5%
기초원천연구기획사업 32
 
0.3%
기타사업 26
 
0.3%

Length

2023-12-12T08:35:49.195930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:49.318187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이공분야기초연구사업 7481
74.8%
원천기술개발사업 1369
 
13.7%
교육인력양성사업 318
 
3.2%
원자력연구개발사업 286
 
2.9%
학술·인문사회사업 174
 
1.7%
과학기술국제화사업 173
 
1.7%
거대과학연구개발사업 94
 
0.9%
국제기관간mou지원사업 47
 
0.5%
기초원천연구기획사업 32
 
0.3%
기타사업 26
 
0.3%
Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:49.578620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length9.7107
Min length4

Characters and Unicode

Total characters97107
Distinct characters199
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row바이오·의료기술개발사업(단위사업)
2nd row신진연구지원사업
3rd row방사선 이용 미래혁신 기반기술연구
4th row중견연구자지원사업
5th row이공학 개인기초연구지원사업
ValueCountFrequency (%)
학문균형발전지원사업 2008
16.2%
기본연구 1536
12.4%
중견연구자지원사업 1402
 
11.3%
이공학 841
 
6.8%
개인기초연구지원사업 841
 
6.8%
신진연구지원사업 622
 
5.0%
기초연구기반구축사업 437
 
3.5%
바이오·의료기술개발사업 361
 
2.9%
연구 316
 
2.5%
316
 
2.5%
Other values (108) 3714
30.0%
2023-12-12T08:35:50.003632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8500
 
8.8%
8179
 
8.4%
6285
 
6.5%
5881
 
6.1%
5770
 
5.9%
5611
 
5.8%
5389
 
5.5%
3430
 
3.5%
3033
 
3.1%
2394
 
2.5%
Other values (189) 42635
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92815
95.6%
Space Separator 2394
 
2.5%
Other Punctuation 736
 
0.8%
Close Punctuation 403
 
0.4%
Open Punctuation 403
 
0.4%
Uppercase Letter 333
 
0.3%
Dash Punctuation 16
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8500
 
9.2%
8179
 
8.8%
6285
 
6.8%
5881
 
6.3%
5770
 
6.2%
5611
 
6.0%
5389
 
5.8%
3430
 
3.7%
3033
 
3.3%
2263
 
2.4%
Other values (167) 38474
41.5%
Uppercase Letter
ValueCountFrequency (%)
U 47
14.1%
M 47
14.1%
O 47
14.1%
C 41
12.3%
T 40
12.0%
I 40
12.0%
D 29
8.7%
R 29
8.7%
S 12
 
3.6%
X 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
b 1
14.3%
t 1
14.3%
n 1
14.3%
r 1
14.3%
a 1
14.3%
Other Punctuation
ValueCountFrequency (%)
· 707
96.1%
& 29
 
3.9%
Space Separator
ValueCountFrequency (%)
2394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92815
95.6%
Common 3952
 
4.1%
Latin 340
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8500
 
9.2%
8179
 
8.8%
6285
 
6.8%
5881
 
6.3%
5770
 
6.2%
5611
 
6.0%
5389
 
5.8%
3430
 
3.7%
3033
 
3.3%
2263
 
2.4%
Other values (167) 38474
41.5%
Latin
ValueCountFrequency (%)
U 47
13.8%
M 47
13.8%
O 47
13.8%
C 41
12.1%
T 40
11.8%
I 40
11.8%
D 29
8.5%
R 29
8.5%
S 12
 
3.5%
o 2
 
0.6%
Other values (6) 6
 
1.8%
Common
ValueCountFrequency (%)
2394
60.6%
· 707
 
17.9%
) 403
 
10.2%
( 403
 
10.2%
& 29
 
0.7%
- 16
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92815
95.6%
ASCII 3585
 
3.7%
None 707
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8500
 
9.2%
8179
 
8.8%
6285
 
6.8%
5881
 
6.3%
5770
 
6.2%
5611
 
6.0%
5389
 
5.8%
3430
 
3.7%
3033
 
3.3%
2263
 
2.4%
Other values (167) 38474
41.5%
ASCII
ValueCountFrequency (%)
2394
66.8%
) 403
 
11.2%
( 403
 
11.2%
U 47
 
1.3%
M 47
 
1.3%
O 47
 
1.3%
C 41
 
1.1%
T 40
 
1.1%
I 40
 
1.1%
D 29
 
0.8%
Other values (11) 94
 
2.6%
None
ValueCountFrequency (%)
· 707
100.0%
Distinct159
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:50.310701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length9.7169
Min length4

Characters and Unicode

Total characters97169
Distinct characters270
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row혁신형의사과학자공동연구
2nd row우수신진연구
3rd row방사선이용 미래혁신 기반기술연구
4th row중견연구(총연구비5억 초과)
5th row기본연구지원사업
ValueCountFrequency (%)
기본연구 1536
 
12.7%
창의도전연구기반지원 1492
 
12.3%
기본연구지원사업 713
 
5.9%
유형1-1)중견연구 680
 
5.6%
지역대학우수과학자지원사업 582
 
4.8%
우수신진연구 542
 
4.5%
학문후속세대양성 467
 
3.9%
연구 365
 
3.0%
유형1-2)중견연구 363
 
3.0%
생애 316
 
2.6%
Other values (237) 5063
41.8%
2023-12-12T08:35:50.781347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7286
 
7.5%
7103
 
7.3%
5748
 
5.9%
4014
 
4.1%
3858
 
4.0%
3443
 
3.5%
3082
 
3.2%
2304
 
2.4%
2249
 
2.3%
2119
 
2.2%
Other values (260) 55963
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86925
89.5%
Decimal Number 2360
 
2.4%
Space Separator 2119
 
2.2%
Open Punctuation 1622
 
1.7%
Close Punctuation 1622
 
1.7%
Dash Punctuation 1235
 
1.3%
Uppercase Letter 970
 
1.0%
Other Punctuation 237
 
0.2%
Math Symbol 72
 
0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7286
 
8.4%
7103
 
8.2%
5748
 
6.6%
4014
 
4.6%
3858
 
4.4%
3443
 
4.0%
3082
 
3.5%
2304
 
2.7%
2249
 
2.6%
2016
 
2.3%
Other values (223) 45822
52.7%
Uppercase Letter
ValueCountFrequency (%)
R 192
19.8%
F 148
15.3%
K 109
11.2%
B 84
8.7%
P 78
8.0%
C 72
 
7.4%
I 58
 
6.0%
N 56
 
5.8%
T 52
 
5.4%
E 38
 
3.9%
Other values (7) 83
8.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
b 1
14.3%
t 1
14.3%
n 1
14.3%
r 1
14.3%
a 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 1737
73.6%
2 410
 
17.4%
5 99
 
4.2%
3 72
 
3.1%
0 42
 
1.8%
Other Punctuation
ValueCountFrequency (%)
· 147
62.0%
. 42
 
17.7%
/ 40
 
16.9%
& 8
 
3.4%
Space Separator
ValueCountFrequency (%)
2119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1622
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1622
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1235
100.0%
Math Symbol
ValueCountFrequency (%)
~ 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86925
89.5%
Common 9267
 
9.5%
Latin 977
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7286
 
8.4%
7103
 
8.2%
5748
 
6.6%
4014
 
4.6%
3858
 
4.4%
3443
 
4.0%
3082
 
3.5%
2304
 
2.7%
2249
 
2.6%
2016
 
2.3%
Other values (223) 45822
52.7%
Latin
ValueCountFrequency (%)
R 192
19.7%
F 148
15.1%
K 109
11.2%
B 84
8.6%
P 78
8.0%
C 72
 
7.4%
I 58
 
5.9%
N 56
 
5.7%
T 52
 
5.3%
E 38
 
3.9%
Other values (13) 90
9.2%
Common
ValueCountFrequency (%)
2119
22.9%
1 1737
18.7%
( 1622
17.5%
) 1622
17.5%
- 1235
13.3%
2 410
 
4.4%
· 147
 
1.6%
5 99
 
1.1%
~ 72
 
0.8%
3 72
 
0.8%
Other values (4) 132
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86925
89.5%
ASCII 10097
 
10.4%
None 147
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7286
 
8.4%
7103
 
8.2%
5748
 
6.6%
4014
 
4.6%
3858
 
4.4%
3443
 
4.0%
3082
 
3.5%
2304
 
2.7%
2249
 
2.6%
2016
 
2.3%
Other values (223) 45822
52.7%
ASCII
ValueCountFrequency (%)
2119
21.0%
1 1737
17.2%
( 1622
16.1%
) 1622
16.1%
- 1235
12.2%
2 410
 
4.1%
R 192
 
1.9%
F 148
 
1.5%
K 109
 
1.1%
5 99
 
1.0%
Other values (26) 804
 
8.0%
None
ValueCountFrequency (%)
· 147
100.0%

세부사업명
Text

MISSING 

Distinct86
Distinct (%)2.1%
Missing5868
Missing (%)58.7%
Memory size156.2 KiB
2023-12-12T08:35:51.128668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length12.797435
Min length4

Characters and Unicode

Total characters52879
Distinct characters211
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.3%

Sample

1st row선도혁신형의사과학자공동연구
2nd row기본연구(1년~5년)
3rd row신개념소자기초기술개발
4th row지역대학우수과학자지원사업(1년~5년)
5th row기본연구(1년~5년)
ValueCountFrequency (%)
창의도전연구기반지원 1492
30.2%
기본연구(1년~5년 473
 
9.6%
박사과정생연구장려금지원 315
 
6.4%
지역대학우수과학자지원사업(1년~5년 242
 
4.9%
중견후속연구(연평균연구비 192
 
3.9%
이내 192
 
3.9%
지역거점혁신형의사과학자공동연구 152
 
3.1%
기본연구(6년~8년 140
 
2.8%
이공분야학문후속세대양성_박사후국내연수 110
 
2.2%
1억원 107
 
2.2%
Other values (131) 1522
30.8%
2023-12-12T08:35:51.660103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3639
 
6.9%
3335
 
6.3%
2877
 
5.4%
2664
 
5.0%
2478
 
4.7%
2071
 
3.9%
1694
 
3.2%
) 1679
 
3.2%
( 1679
 
3.2%
1570
 
3.0%
Other values (201) 29193
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44169
83.5%
Decimal Number 2572
 
4.9%
Close Punctuation 1679
 
3.2%
Open Punctuation 1679
 
3.2%
Math Symbol 1119
 
2.1%
Space Separator 805
 
1.5%
Uppercase Letter 397
 
0.8%
Lowercase Letter 242
 
0.5%
Connector Punctuation 135
 
0.3%
Dash Punctuation 61
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3639
 
8.2%
3335
 
7.6%
2877
 
6.5%
2664
 
6.0%
2478
 
5.6%
2071
 
4.7%
1694
 
3.8%
1570
 
3.6%
1545
 
3.5%
1507
 
3.4%
Other values (151) 20789
47.1%
Uppercase Letter
ValueCountFrequency (%)
P 95
23.9%
B 85
21.4%
S 33
 
8.3%
A 32
 
8.1%
D 28
 
7.1%
R 20
 
5.0%
G 18
 
4.5%
E 17
 
4.3%
Y 16
 
4.0%
O 13
 
3.3%
Other values (6) 40
10.1%
Lowercase Letter
ValueCountFrequency (%)
t 31
12.8%
i 31
12.8%
n 21
8.7%
e 20
8.3%
o 20
8.3%
s 18
7.4%
m 18
7.4%
g 17
7.0%
u 16
6.6%
l 16
6.6%
Other values (5) 34
14.0%
Decimal Number
ValueCountFrequency (%)
1 1031
40.1%
5 846
32.9%
6 185
 
7.2%
2 176
 
6.8%
8 166
 
6.5%
4 138
 
5.4%
9 22
 
0.9%
0 6
 
0.2%
3 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
& 18
85.7%
, 1
 
4.8%
? 1
 
4.8%
. 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 1679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1679
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1119
100.0%
Space Separator
ValueCountFrequency (%)
805
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44169
83.5%
Common 8071
 
15.3%
Latin 639
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3639
 
8.2%
3335
 
7.6%
2877
 
6.5%
2664
 
6.0%
2478
 
5.6%
2071
 
4.7%
1694
 
3.8%
1570
 
3.6%
1545
 
3.5%
1507
 
3.4%
Other values (151) 20789
47.1%
Latin
ValueCountFrequency (%)
P 95
 
14.9%
B 85
 
13.3%
S 33
 
5.2%
A 32
 
5.0%
t 31
 
4.9%
i 31
 
4.9%
D 28
 
4.4%
n 21
 
3.3%
e 20
 
3.1%
R 20
 
3.1%
Other values (21) 243
38.0%
Common
ValueCountFrequency (%)
) 1679
20.8%
( 1679
20.8%
~ 1119
13.9%
1 1031
12.8%
5 846
10.5%
805
10.0%
6 185
 
2.3%
2 176
 
2.2%
8 166
 
2.1%
4 138
 
1.7%
Other values (9) 247
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44169
83.5%
ASCII 8710
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3639
 
8.2%
3335
 
7.6%
2877
 
6.5%
2664
 
6.0%
2478
 
5.6%
2071
 
4.7%
1694
 
3.8%
1570
 
3.6%
1545
 
3.5%
1507
 
3.4%
Other values (151) 20789
47.1%
ASCII
ValueCountFrequency (%)
) 1679
19.3%
( 1679
19.3%
~ 1119
12.8%
1 1031
11.8%
5 846
9.7%
805
9.2%
6 185
 
2.1%
2 176
 
2.0%
8 166
 
1.9%
4 138
 
1.6%
Other values (40) 886
10.2%

과제형태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단위과제
8507 
세부과제
1123 
총괄과제
 
319
위탁과제
 
34
사업단
 
15

Length

Max length4
Median length4
Mean length3.9985
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세부과제
2nd row단위과제
3rd row단위과제
4th row단위과제
5th row단위과제

Common Values

ValueCountFrequency (%)
단위과제 8507
85.1%
세부과제 1123
 
11.2%
총괄과제 319
 
3.2%
위탁과제 34
 
0.3%
사업단 15
 
0.1%
공동과제 2
 
< 0.1%

Length

2023-12-12T08:35:51.825490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:51.930185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단위과제 8507
85.1%
세부과제 1123
 
11.2%
총괄과제 319
 
3.2%
위탁과제 34
 
0.3%
사업단 15
 
0.1%
공동과제 2
 
< 0.1%

신규/계속구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
계속
9152 
신규
 
848

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계속 9152
91.5%
신규 848
 
8.5%

Length

2023-12-12T08:35:52.279189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:52.392579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계속 9152
91.5%
신규 848
 
8.5%
Distinct9107
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:52.620261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length17.2426
Min length16

Characters and Unicode

Total characters172426
Distinct characters24
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8216 ?
Unique (%)82.2%

Sample

1st row2019M3E5D1A01069361
2nd row2020R1C1C1009314
3rd row2021M2E8A1047781
4th row2018R1A2B3009008
5th row2018R1D1A1B07048479
ValueCountFrequency (%)
2022m2b5a1080696 4
 
< 0.1%
2021h1d3a2a02083052 2
 
< 0.1%
2019m3e5d1a01068875 2
 
< 0.1%
2019m3e6a1064287 2
 
< 0.1%
2019m3e6a1064103 2
 
< 0.1%
2020m3g1a1114996 2
 
< 0.1%
2019m3e6a1064020 2
 
< 0.1%
2020m3a9d3080108 2
 
< 0.1%
2017m3c9a6044633 2
 
< 0.1%
2019m3e5d1a02067826 2
 
< 0.1%
Other values (9097) 9978
99.8%
2023-12-12T08:35:53.078590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33798
19.6%
1 33480
19.4%
2 25232
14.6%
A 13408
 
7.8%
3 8015
 
4.6%
R 7513
 
4.4%
7 6755
 
3.9%
9 6652
 
3.9%
6 6645
 
3.9%
8 6056
 
3.5%
Other values (14) 24872
14.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138284
80.2%
Uppercase Letter 34142
 
19.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 13408
39.3%
R 7513
22.0%
C 2699
 
7.9%
I 2085
 
6.1%
M 1749
 
5.1%
B 1702
 
5.0%
F 1686
 
4.9%
D 1478
 
4.3%
E 619
 
1.8%
H 400
 
1.2%
Other values (4) 803
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 33798
24.4%
1 33480
24.2%
2 25232
18.2%
3 8015
 
5.8%
7 6755
 
4.9%
9 6652
 
4.8%
6 6645
 
4.8%
8 6056
 
4.4%
4 6005
 
4.3%
5 5646
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 138284
80.2%
Latin 34142
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 13408
39.3%
R 7513
22.0%
C 2699
 
7.9%
I 2085
 
6.1%
M 1749
 
5.1%
B 1702
 
5.0%
F 1686
 
4.9%
D 1478
 
4.3%
E 619
 
1.8%
H 400
 
1.2%
Other values (4) 803
 
2.4%
Common
ValueCountFrequency (%)
0 33798
24.4%
1 33480
24.2%
2 25232
18.2%
3 8015
 
5.8%
7 6755
 
4.9%
9 6652
 
4.8%
6 6645
 
4.8%
8 6056
 
4.4%
4 6005
 
4.3%
5 5646
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 172426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33798
19.6%
1 33480
19.4%
2 25232
14.6%
A 13408
 
7.8%
3 8015
 
4.6%
R 7513
 
4.4%
7 6755
 
3.9%
9 6652
 
3.9%
6 6645
 
3.9%
8 6056
 
3.5%
Other values (14) 24872
14.4%

접수과제번호
Real number (ℝ)

Distinct9108
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0221773 × 109
Minimum2.0211032 × 109
Maximum2.0230926 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:35:53.265937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0211032 × 109
5-th percentile2.0220026 × 109
Q12.0220201 × 109
median2.0220285 × 109
Q32.0220634 × 109
95-th percentile2.0230589 × 109
Maximum2.0230926 × 109
Range1989432
Interquartile range (IQR)43316.75

Descriptive statistics

Standard deviation361067
Coefficient of variation (CV)0.00017855358
Kurtosis2.1013322
Mean2.0221773 × 109
Median Absolute Deviation (MAD)9035.5
Skewness2.0001508
Sum2.0221773 × 1013
Variance1.3036938 × 1011
MonotonicityNot monotonic
2023-12-12T08:35:53.477936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022080696 4
 
< 0.1%
2022013928 2
 
< 0.1%
2022006118 2
 
< 0.1%
2022002603 2
 
< 0.1%
2022013737 2
 
< 0.1%
2022013787 2
 
< 0.1%
2022001633 2
 
< 0.1%
2022004597 2
 
< 0.1%
2022008238 2
 
< 0.1%
2022002547 2
 
< 0.1%
Other values (9098) 9978
99.8%
ValueCountFrequency (%)
2021103206 2
< 0.1%
2021103921 2
< 0.1%
2022000060 2
< 0.1%
2022000065 1
< 0.1%
2022000066 1
< 0.1%
2022000069 1
< 0.1%
2022000071 1
< 0.1%
2022000076 1
< 0.1%
2022000080 1
< 0.1%
2022000081 1
< 0.1%
ValueCountFrequency (%)
2023092638 1
< 0.1%
2023092610 1
< 0.1%
2023092542 1
< 0.1%
2023092532 1
< 0.1%
2023066463 1
< 0.1%
2023066460 1
< 0.1%
2023066399 1
< 0.1%
2023065237 1
< 0.1%
2023065236 1
< 0.1%
2023065235 1
< 0.1%
Distinct9095
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:53.941931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length108
Mean length40.5791
Min length3

Characters and Unicode

Total characters405791
Distinct characters1103
Distinct categories16 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8202 ?
Unique (%)82.0%

Sample

1st row전이 암 특이적 신규 표적 발굴 및 임상적용성 검증을 통한 전이제어 실용화 기반기술 구축
2nd row태양광 보급지원사업 평가 및 보급속도 모의를 위한 태양광 발전소 확산 과정의 에이전트 기반 모델링
3rd row방사선 유도 저분자 펩타이드 규명을 통한 생명체의 방사선 내성 획득 원리 이해 연구
4th row난치성 두경부암에서 single-cell transcriptome기반 종양내 비균질성과 종양미세환경분석을 통한 치료저항성 암 극복 정밀제어 치료전략 개발
5th row항해안전을 위한 상황인식 지원 시스템 개발에 관한 연구
ValueCountFrequency (%)
3678
 
3.8%
개발 3563
 
3.7%
연구 2878
 
2.9%
위한 1939
 
2.0%
기반 1449
 
1.5%
이용한 1184
 
1.2%
통한 1005
 
1.0%
기술 794
 
0.8%
규명 615
 
0.6%
시스템 538
 
0.6%
Other values (27095) 79968
81.9%
2023-12-12T08:35:54.642733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88057
 
21.7%
8234
 
2.0%
6972
 
1.7%
6307
 
1.6%
5914
 
1.5%
5299
 
1.3%
4941
 
1.2%
4839
 
1.2%
4570
 
1.1%
4361
 
1.1%
Other values (1093) 266297
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282417
69.6%
Space Separator 88057
 
21.7%
Lowercase Letter 18596
 
4.6%
Uppercase Letter 10120
 
2.5%
Decimal Number 1961
 
0.5%
Other Punctuation 1778
 
0.4%
Dash Punctuation 1554
 
0.4%
Close Punctuation 607
 
0.1%
Open Punctuation 607
 
0.1%
Final Punctuation 32
 
< 0.1%
Other values (6) 62
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8234
 
2.9%
6972
 
2.5%
6307
 
2.2%
5914
 
2.1%
5299
 
1.9%
4941
 
1.7%
4839
 
1.7%
4570
 
1.6%
4361
 
1.5%
4224
 
1.5%
Other values (970) 226756
80.3%
Lowercase Letter
ValueCountFrequency (%)
e 2031
10.9%
i 1894
10.2%
o 1621
 
8.7%
n 1471
 
7.9%
a 1460
 
7.9%
t 1288
 
6.9%
r 1269
 
6.8%
s 1026
 
5.5%
l 998
 
5.4%
c 839
 
4.5%
Other values (37) 4699
25.3%
Uppercase Letter
ValueCountFrequency (%)
A 898
 
8.9%
R 750
 
7.4%
C 748
 
7.4%
D 713
 
7.0%
S 698
 
6.9%
T 696
 
6.9%
P 658
 
6.5%
I 647
 
6.4%
M 581
 
5.7%
N 574
 
5.7%
Other values (20) 3157
31.2%
Other Punctuation
ValueCountFrequency (%)
/ 599
33.7%
, 465
26.2%
: 271
15.2%
· 202
 
11.4%
? 140
 
7.9%
. 42
 
2.4%
& 30
 
1.7%
" 9
 
0.5%
' 7
 
0.4%
; 6
 
0.3%
Other values (2) 7
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 486
24.8%
3 462
23.6%
1 420
21.4%
0 131
 
6.7%
4 129
 
6.6%
5 104
 
5.3%
6 76
 
3.9%
9 76
 
3.9%
7 43
 
2.2%
8 34
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 18
69.2%
~ 3
 
11.5%
> 2
 
7.7%
= 2
 
7.7%
× 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 595
98.0%
7
 
1.2%
] 5
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 595
98.0%
7
 
1.2%
[ 5
 
0.8%
Letter Number
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1553
99.9%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
22
68.8%
10
31.2%
Initial Punctuation
ValueCountFrequency (%)
19
63.3%
11
36.7%
Space Separator
ValueCountFrequency (%)
88057
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282362
69.6%
Common 94655
 
23.3%
Latin 28651
 
7.1%
Han 55
 
< 0.1%
Greek 45
 
< 0.1%
Cyrillic 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8234
 
2.9%
6972
 
2.5%
6307
 
2.2%
5914
 
2.1%
5299
 
1.9%
4941
 
1.7%
4839
 
1.7%
4570
 
1.6%
4361
 
1.5%
4224
 
1.5%
Other values (925) 226701
80.3%
Latin
ValueCountFrequency (%)
e 2031
 
7.1%
i 1894
 
6.6%
o 1621
 
5.7%
n 1471
 
5.1%
a 1460
 
5.1%
t 1288
 
4.5%
r 1269
 
4.4%
s 1026
 
3.6%
l 998
 
3.5%
A 898
 
3.1%
Other values (46) 14695
51.3%
Han
ValueCountFrequency (%)
4
 
7.3%
3
 
5.5%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%
1
 
1.8%
Other values (35) 35
63.6%
Common
ValueCountFrequency (%)
88057
93.0%
- 1553
 
1.6%
/ 599
 
0.6%
) 595
 
0.6%
( 595
 
0.6%
2 486
 
0.5%
, 465
 
0.5%
3 462
 
0.5%
1 420
 
0.4%
: 271
 
0.3%
Other values (33) 1152
 
1.2%
Cyrillic
ValueCountFrequency (%)
С 4
17.4%
а 2
 
8.7%
и 2
 
8.7%
с 2
 
8.7%
о 2
 
8.7%
т 1
 
4.3%
н 1
 
4.3%
л 1
 
4.3%
в 1
 
4.3%
к 1
 
4.3%
Other values (6) 6
26.1%
Greek
ValueCountFrequency (%)
α 17
37.8%
β 15
33.3%
γ 7
15.6%
δ 2
 
4.4%
μ 1
 
2.2%
η 1
 
2.2%
κ 1
 
2.2%
ω 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282357
69.6%
ASCII 123020
30.3%
None 265
 
0.1%
Punctuation 63
 
< 0.1%
CJK 53
 
< 0.1%
Cyrillic 23
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88057
71.6%
e 2031
 
1.7%
i 1894
 
1.5%
o 1621
 
1.3%
- 1553
 
1.3%
n 1471
 
1.2%
a 1460
 
1.2%
t 1288
 
1.0%
r 1269
 
1.0%
s 1026
 
0.8%
Other values (74) 21350
 
17.4%
Hangul
ValueCountFrequency (%)
8234
 
2.9%
6972
 
2.5%
6307
 
2.2%
5914
 
2.1%
5299
 
1.9%
4941
 
1.7%
4839
 
1.7%
4570
 
1.6%
4361
 
1.5%
4224
 
1.5%
Other values (923) 226696
80.3%
None
ValueCountFrequency (%)
· 202
76.2%
α 17
 
6.4%
β 15
 
5.7%
γ 7
 
2.6%
7
 
2.6%
7
 
2.6%
δ 2
 
0.8%
μ 1
 
0.4%
η 1
 
0.4%
κ 1
 
0.4%
Other values (5) 5
 
1.9%
Punctuation
ValueCountFrequency (%)
22
34.9%
19
30.2%
11
17.5%
10
15.9%
1
 
1.6%
Compat Jamo
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
CJK
ValueCountFrequency (%)
4
 
7.5%
3
 
5.7%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
1
 
1.9%
1
 
1.9%
1
 
1.9%
Other values (33) 33
62.3%
Cyrillic
ValueCountFrequency (%)
С 4
17.4%
а 2
 
8.7%
и 2
 
8.7%
с 2
 
8.7%
о 2
 
8.7%
т 1
 
4.3%
н 1
 
4.3%
л 1
 
4.3%
в 1
 
4.3%
к 1
 
4.3%
Other values (6) 6
26.1%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%
Number Forms
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

과제상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
종료
9081 
중단(협약해약(일반종료))
 
598
진행
 
208
중단(조기종료)
 
94
중단(협약해약(지원중단))
 
15

Length

Max length14
Median length2
Mean length2.7928
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종료
2nd row종료
3rd row진행
4th row종료
5th row종료

Common Values

ValueCountFrequency (%)
종료 9081
90.8%
중단(협약해약(일반종료)) 598
 
6.0%
진행 208
 
2.1%
중단(조기종료) 94
 
0.9%
중단(협약해약(지원중단)) 15
 
0.1%
중단() 4
 
< 0.1%

Length

2023-12-12T08:35:54.862203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:55.000857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종료 9081
90.8%
중단(협약해약(일반종료 598
 
6.0%
진행 208
 
2.1%
중단(조기종료 94
 
0.9%
중단(협약해약(지원중단 15
 
0.1%
중단 4
 
< 0.1%
Distinct7328
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:55.433728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length3
Mean length3.223
Min length2

Characters and Unicode

Total characters32230
Distinct characters454
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5784 ?
Unique (%)57.8%

Sample

1st row신인철
2nd row김병일
3rd row임상용
4th row김철호
5th row홍승권
ValueCountFrequency (%)
김동현 13
 
0.1%
이진우 11
 
0.1%
이상원 10
 
0.1%
김지현 10
 
0.1%
이상훈 9
 
0.1%
김영민 9
 
0.1%
김태훈 9
 
0.1%
이상민 8
 
0.1%
kumar 8
 
0.1%
김정훈 8
 
0.1%
Other values (7498) 10132
99.1%
2023-12-12T08:35:56.071675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2013
 
6.2%
1543
 
4.8%
1052
 
3.3%
831
 
2.6%
739
 
2.3%
688
 
2.1%
585
 
1.8%
580
 
1.8%
507
 
1.6%
493
 
1.5%
Other values (444) 23199
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29581
91.8%
Uppercase Letter 1760
 
5.5%
Lowercase Letter 655
 
2.0%
Space Separator 229
 
0.7%
Dash Punctuation 3
 
< 0.1%
Final Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2013
 
6.8%
1543
 
5.2%
1052
 
3.6%
831
 
2.8%
739
 
2.5%
688
 
2.3%
585
 
2.0%
580
 
2.0%
507
 
1.7%
493
 
1.7%
Other values (389) 20550
69.5%
Uppercase Letter
ValueCountFrequency (%)
A 272
15.5%
N 151
 
8.6%
H 136
 
7.7%
I 132
 
7.5%
R 106
 
6.0%
E 102
 
5.8%
S 92
 
5.2%
M 88
 
5.0%
O 82
 
4.7%
U 81
 
4.6%
Other values (16) 518
29.4%
Lowercase Letter
ValueCountFrequency (%)
a 123
18.8%
n 77
11.8%
e 53
 
8.1%
i 51
 
7.8%
u 44
 
6.7%
r 42
 
6.4%
h 33
 
5.0%
o 30
 
4.6%
g 26
 
4.0%
s 24
 
3.7%
Other values (15) 152
23.2%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29581
91.8%
Latin 2415
 
7.5%
Common 234
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2013
 
6.8%
1543
 
5.2%
1052
 
3.6%
831
 
2.8%
739
 
2.5%
688
 
2.3%
585
 
2.0%
580
 
2.0%
507
 
1.7%
493
 
1.7%
Other values (389) 20550
69.5%
Latin
ValueCountFrequency (%)
A 272
 
11.3%
N 151
 
6.3%
H 136
 
5.6%
I 132
 
5.5%
a 123
 
5.1%
R 106
 
4.4%
E 102
 
4.2%
S 92
 
3.8%
M 88
 
3.6%
O 82
 
3.4%
Other values (41) 1131
46.8%
Common
ValueCountFrequency (%)
229
97.9%
- 3
 
1.3%
1
 
0.4%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29581
91.8%
ASCII 2648
 
8.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2013
 
6.8%
1543
 
5.2%
1052
 
3.6%
831
 
2.8%
739
 
2.5%
688
 
2.3%
585
 
2.0%
580
 
2.0%
507
 
1.7%
493
 
1.7%
Other values (389) 20550
69.5%
ASCII
ValueCountFrequency (%)
A 272
 
10.3%
229
 
8.6%
N 151
 
5.7%
H 136
 
5.1%
I 132
 
5.0%
a 123
 
4.6%
R 106
 
4.0%
E 102
 
3.9%
S 92
 
3.5%
M 88
 
3.3%
Other values (44) 1217
46.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

연구자번호
Real number (ℝ)

Distinct8643
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10724916
Minimum10002320
Maximum13000971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:35:56.252446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10002320
5-th percentile10056564
Q110130678
median10659028
Q311194109
95-th percentile11792134
Maximum13000971
Range2998651
Interquartile range (IQR)1063430.8

Descriptive statistics

Standard deviation651277.54
Coefficient of variation (CV)0.060725656
Kurtosis-0.2672372
Mean10724916
Median Absolute Deviation (MAD)529412
Skewness0.70698916
Sum1.0724916 × 1011
Variance4.2416243 × 1011
MonotonicityNot monotonic
2023-12-12T08:35:56.450770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10111838 7
 
0.1%
10201879 7
 
0.1%
11540858 7
 
0.1%
10100469 6
 
0.1%
10135923 6
 
0.1%
10134105 6
 
0.1%
10102779 6
 
0.1%
10138815 6
 
0.1%
10056225 6
 
0.1%
10084325 6
 
0.1%
Other values (8633) 9937
99.4%
ValueCountFrequency (%)
10002320 1
< 0.1%
10003414 1
< 0.1%
10003620 1
< 0.1%
10004692 2
< 0.1%
10004791 1
< 0.1%
10006178 1
< 0.1%
10006577 1
< 0.1%
10006902 1
< 0.1%
10010592 1
< 0.1%
10015370 1
< 0.1%
ValueCountFrequency (%)
13000971 2
< 0.1%
12994989 1
< 0.1%
12961906 2
< 0.1%
12949430 1
< 0.1%
12949304 1
< 0.1%
12912185 1
< 0.1%
12908665 1
< 0.1%
12904740 2
< 0.1%
12903557 2
< 0.1%
12891836 1
< 0.1%
Distinct528
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:56.756523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length5
Mean length6.5041
Min length2

Characters and Unicode

Total characters65041
Distinct characters367
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

Unique213 ?
Unique (%)2.1%

Sample

1st row한양대학교
2nd row안동대학교
3rd row한국원자력연구원
4th row아주대학교
5th row한국교통대학교
ValueCountFrequency (%)
서울대학교 599
 
5.8%
연세대학교 492
 
4.7%
고려대학교 410
 
4.0%
성균관대학교 340
 
3.3%
한국과학기술원 327
 
3.2%
경북대학교 303
 
2.9%
부산대학교 271
 
2.6%
포항공과대학교 229
 
2.2%
한양대학교 208
 
2.0%
전남대학교 198
 
1.9%
Other values (553) 6991
67.4%
2023-12-12T08:35:57.152332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9393
 
14.4%
8370
 
12.9%
8320
 
12.8%
2186
 
3.4%
1920
 
3.0%
1646
 
2.5%
1373
 
2.1%
1273
 
2.0%
1229
 
1.9%
1135
 
1.7%
Other values (357) 28196
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62876
96.7%
Close Punctuation 629
 
1.0%
Open Punctuation 627
 
1.0%
Uppercase Letter 484
 
0.7%
Space Separator 370
 
0.6%
Lowercase Letter 48
 
0.1%
Dash Punctuation 4
 
< 0.1%
Decimal Number 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9393
 
14.9%
8370
 
13.3%
8320
 
13.2%
2186
 
3.5%
1920
 
3.1%
1646
 
2.6%
1373
 
2.2%
1273
 
2.0%
1229
 
2.0%
1135
 
1.8%
Other values (324) 26031
41.4%
Uppercase Letter
ValueCountFrequency (%)
I 74
15.3%
C 74
15.3%
A 69
14.3%
E 67
13.8%
L 50
10.3%
R 47
9.7%
O 25
 
5.2%
G 25
 
5.2%
S 19
 
3.9%
W 19
 
3.9%
Other values (7) 15
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
e 15
31.2%
r 9
18.8%
a 6
 
12.5%
n 3
 
6.2%
h 3
 
6.2%
c 3
 
6.2%
s 3
 
6.2%
o 3
 
6.2%
t 3
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 629
100.0%
Open Punctuation
ValueCountFrequency (%)
( 627
100.0%
Space Separator
ValueCountFrequency (%)
370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62876
96.7%
Common 1633
 
2.5%
Latin 532
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9393
 
14.9%
8370
 
13.3%
8320
 
13.2%
2186
 
3.5%
1920
 
3.1%
1646
 
2.6%
1373
 
2.2%
1273
 
2.0%
1229
 
2.0%
1135
 
1.8%
Other values (324) 26031
41.4%
Latin
ValueCountFrequency (%)
I 74
13.9%
C 74
13.9%
A 69
13.0%
E 67
12.6%
L 50
9.4%
R 47
8.8%
O 25
 
4.7%
G 25
 
4.7%
S 19
 
3.6%
W 19
 
3.6%
Other values (16) 63
11.8%
Common
ValueCountFrequency (%)
) 629
38.5%
( 627
38.4%
370
22.7%
- 4
 
0.2%
& 1
 
0.1%
1 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62876
96.7%
ASCII 2165
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9393
 
14.9%
8370
 
13.3%
8320
 
13.2%
2186
 
3.5%
1920
 
3.1%
1646
 
2.6%
1373
 
2.2%
1273
 
2.0%
1229
 
2.0%
1135
 
1.8%
Other values (324) 26031
41.4%
ASCII
ValueCountFrequency (%)
) 629
29.1%
( 627
29.0%
370
17.1%
I 74
 
3.4%
C 74
 
3.4%
A 69
 
3.2%
E 67
 
3.1%
L 50
 
2.3%
R 47
 
2.2%
O 25
 
1.2%
Other values (23) 133
 
6.1%

산학연구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
8640 
 
699
 
509
<NA>
 
152

Length

Max length4
Median length1
Mean length1.0456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
8640
86.4%
699
 
7.0%
509
 
5.1%
<NA> 152
 
1.5%

Length

2023-12-12T08:35:57.295940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:57.407751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8640
86.4%
699
 
7.0%
509
 
5.1%
na 152
 
1.5%

주무부처
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
과학기술정보통신부
6427 
교육부
3573 

Length

Max length9
Median length9
Mean length6.8562
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row과학기술정보통신부
2nd row과학기술정보통신부
3rd row과학기술정보통신부
4th row과학기술정보통신부
5th row교육부

Common Values

ValueCountFrequency (%)
과학기술정보통신부 6427
64.3%
교육부 3573
35.7%

Length

2023-12-12T08:35:57.518088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:57.629109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과학기술정보통신부 6427
64.3%
교육부 3573
35.7%
Distinct644
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:57.910444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.9984
Min length15

Characters and Unicode

Total characters229984
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique321 ?
Unique (%)3.2%

Sample

1st row2019-07-01 ~ 2022-12-31
2nd row2020-03-01 ~ 2023-02-28
3rd row2021-05-01 ~ 2024-12-31
4th row2018-03-01 ~ 2023-02-28
5th row2018-06-01 ~ 2022-05-31
ValueCountFrequency (%)
10002
33.3%
2023-02-28 3977
 
13.3%
2020-06-01 2220
 
7.4%
2023-05-31 1921
 
6.4%
2020-03-01 1472
 
4.9%
2022-12-31 1229
 
4.1%
2022-05-31 1141
 
3.8%
2021-06-01 690
 
2.3%
2019-06-01 671
 
2.2%
2018-06-01 598
 
2.0%
Other values (368) 6079
20.3%
2023-12-12T08:35:58.355454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53121
23.1%
2 50821
22.1%
- 40000
17.4%
1 21963
9.5%
20000
 
8.7%
3 14467
 
6.3%
~ 10000
 
4.3%
6 5781
 
2.5%
8 5592
 
2.4%
5 3585
 
1.6%
Other values (3) 4654
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159984
69.6%
Dash Punctuation 40000
 
17.4%
Space Separator 20000
 
8.7%
Math Symbol 10000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53121
33.2%
2 50821
31.8%
1 21963
13.7%
3 14467
 
9.0%
6 5781
 
3.6%
8 5592
 
3.5%
5 3585
 
2.2%
9 2483
 
1.6%
7 1400
 
0.9%
4 771
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 40000
100.0%
Space Separator
ValueCountFrequency (%)
20000
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 229984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53121
23.1%
2 50821
22.1%
- 40000
17.4%
1 21963
9.5%
20000
 
8.7%
3 14467
 
6.3%
~ 10000
 
4.3%
6 5781
 
2.5%
8 5592
 
2.4%
5 3585
 
1.6%
Other values (3) 4654
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 229984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53121
23.1%
2 50821
22.1%
- 40000
17.4%
1 21963
9.5%
20000
 
8.7%
3 14467
 
6.3%
~ 10000
 
4.3%
6 5781
 
2.5%
8 5592
 
2.4%
5 3585
 
1.6%
Other values (3) 4654
 
2.0%
Distinct389
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:58.542036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.9984
Min length15

Characters and Unicode

Total characters229984
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)2.2%

Sample

1st row2022-01-01 ~ 2022-12-31
2nd row2022-03-01 ~ 2023-02-28
3rd row2022-01-01 ~ 2022-12-31
4th row2022-03-01 ~ 2023-02-28
5th row2022-03-01 ~ 2022-05-31
ValueCountFrequency (%)
10002
33.3%
2022-03-01 5437
18.1%
2023-02-28 4031
13.4%
2023-05-31 1920
 
6.4%
2022-01-01 1770
 
5.9%
2023-03-01 1399
 
4.7%
2022-12-31 1280
 
4.3%
2022-05-31 1141
 
3.8%
2022-06-01 686
 
2.3%
2022-08-31 254
 
0.8%
Other values (259) 2080
 
6.9%
2023-12-12T08:35:58.817568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 61839
26.9%
0 49047
21.3%
- 40000
17.4%
3 20641
 
9.0%
20000
 
8.7%
1 18733
 
8.1%
~ 10000
 
4.3%
8 4416
 
1.9%
5 3371
 
1.5%
6 1040
 
0.5%
Other values (3) 897
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159984
69.6%
Dash Punctuation 40000
 
17.4%
Space Separator 20000
 
8.7%
Math Symbol 10000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 61839
38.7%
0 49047
30.7%
3 20641
 
12.9%
1 18733
 
11.7%
8 4416
 
2.8%
5 3371
 
2.1%
6 1040
 
0.7%
4 413
 
0.3%
9 285
 
0.2%
7 199
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 40000
100.0%
Space Separator
ValueCountFrequency (%)
20000
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 229984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 61839
26.9%
0 49047
21.3%
- 40000
17.4%
3 20641
 
9.0%
20000
 
8.7%
1 18733
 
8.1%
~ 10000
 
4.3%
8 4416
 
1.9%
5 3371
 
1.5%
6 1040
 
0.5%
Other values (3) 897
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 229984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 61839
26.9%
0 49047
21.3%
- 40000
17.4%
3 20641
 
9.0%
20000
 
8.7%
1 18733
 
8.1%
~ 10000
 
4.3%
8 4416
 
1.9%
5 3371
 
1.5%
6 1040
 
0.5%
Other values (3) 897
 
0.4%

학문단
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
2168 
의약학단
2002 
ICT·융합연구단
1631 
공학단
1473 
생명과학단
1313 
Other values (6)
1413 

Length

Max length9
Median length6
Mean length4.9427
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row공학단
3rd row<NA>
4th row의약학단
5th rowICT·융합연구단

Common Values

ValueCountFrequency (%)
<NA> 2168
21.7%
의약학단 2002
20.0%
ICT·융합연구단 1631
16.3%
공학단 1473
14.7%
생명과학단 1313
13.1%
자연과학단 1174
11.7%
사회과학단 89
 
0.9%
인문학단 67
 
0.7%
기초연구본부 49
 
0.5%
문화융복합단 33
 
0.3%

Length

2023-12-12T08:35:58.953668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2168
21.7%
의약학단 2002
20.0%
ict·융합연구단 1631
16.3%
공학단 1473
14.7%
생명과학단 1313
13.1%
자연과학단 1174
11.7%
사회과학단 89
 
0.9%
인문학단 67
 
0.7%
기초연구본부 49
 
0.5%
문화융복합단 33
 
0.3%

보고서구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
결과보고서
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
결과보고서 10000
100.0%

Length

2023-12-12T08:35:59.081731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:59.172854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
결과보고서 10000
100.0%
Distinct365
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:35:59.382512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length24.9158
Min length5

Characters and Unicode

Total characters249158
Distinct characters341
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)1.3%

Sample

1st row22년 12월 종료 혁신형의사과학자공동연구사업 최종보고서(제출용)
2nd row2023년도 우수신진연구 2월종료 최종보고서
3rd row결과보고서
4th row중견연구(2023년 2월 종료) 최종보고서 제출
5th row22년5월 종료 기본연구 최종보고서
ValueCountFrequency (%)
최종보고서 5908
 
13.3%
종료과제 3178
 
7.1%
제출 3125
 
7.0%
2023년 2493
 
5.6%
2월 2391
 
5.4%
기본연구 2219
 
5.0%
종료 1992
 
4.5%
결과보고서 1810
 
4.1%
5월 1529
 
3.4%
선정 1459
 
3.3%
Other values (546) 18405
41.4%
2023-12-12T08:35:59.747583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36384
 
14.6%
2 21761
 
8.7%
15290
 
6.1%
10207
 
4.1%
10042
 
4.0%
9999
 
4.0%
8985
 
3.6%
0 8712
 
3.5%
7876
 
3.2%
7711
 
3.1%
Other values (331) 112191
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155494
62.4%
Decimal Number 44452
 
17.8%
Space Separator 36384
 
14.6%
Close Punctuation 5026
 
2.0%
Open Punctuation 5026
 
2.0%
Other Punctuation 1339
 
0.5%
Uppercase Letter 908
 
0.4%
Connector Punctuation 200
 
0.1%
Math Symbol 159
 
0.1%
Dash Punctuation 89
 
< 0.1%
Other values (3) 81
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15290
 
9.8%
10207
 
6.6%
10042
 
6.5%
9999
 
6.4%
8985
 
5.8%
7876
 
5.1%
7711
 
5.0%
7518
 
4.8%
6511
 
4.2%
6043
 
3.9%
Other values (270) 65312
42.0%
Uppercase Letter
ValueCountFrequency (%)
R 135
14.9%
G 110
12.1%
W 88
9.7%
S 87
9.6%
D 82
9.0%
I 56
 
6.2%
C 53
 
5.8%
T 50
 
5.5%
B 44
 
4.8%
P 37
 
4.1%
Other values (11) 166
18.3%
Lowercase Letter
ValueCountFrequency (%)
e 14
18.2%
r 12
15.6%
g 10
13.0%
i 9
11.7%
h 8
10.4%
c 6
7.8%
d 6
7.8%
o 4
 
5.2%
a 2
 
2.6%
t 2
 
2.6%
Other values (2) 4
 
5.2%
Decimal Number
ValueCountFrequency (%)
2 21761
49.0%
0 8712
19.6%
3 7601
 
17.1%
5 3023
 
6.8%
1 2631
 
5.9%
9 427
 
1.0%
8 107
 
0.2%
6 89
 
0.2%
4 72
 
0.2%
7 29
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 989
73.9%
' 154
 
11.5%
& 72
 
5.4%
· 53
 
4.0%
, 45
 
3.4%
/ 25
 
1.9%
? 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4922
97.9%
] 104
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 4922
97.9%
[ 104
 
2.1%
Math Symbol
ValueCountFrequency (%)
~ 151
95.0%
> 8
 
5.0%
Space Separator
ValueCountFrequency (%)
36384
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155487
62.4%
Common 92679
37.2%
Latin 985
 
0.4%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15290
 
9.8%
10207
 
6.6%
10042
 
6.5%
9999
 
6.4%
8985
 
5.8%
7876
 
5.1%
7711
 
5.0%
7518
 
4.8%
6511
 
4.2%
6043
 
3.9%
Other values (269) 65305
42.0%
Latin
ValueCountFrequency (%)
R 135
13.7%
G 110
11.2%
W 88
 
8.9%
S 87
 
8.8%
D 82
 
8.3%
I 56
 
5.7%
C 53
 
5.4%
T 50
 
5.1%
B 44
 
4.5%
P 37
 
3.8%
Other values (23) 243
24.7%
Common
ValueCountFrequency (%)
36384
39.3%
2 21761
23.5%
0 8712
 
9.4%
3 7601
 
8.2%
) 4922
 
5.3%
( 4922
 
5.3%
5 3023
 
3.3%
1 2631
 
2.8%
. 989
 
1.1%
9 427
 
0.5%
Other values (18) 1307
 
1.4%
Han
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155487
62.4%
ASCII 93610
37.6%
None 53
 
< 0.1%
CJK 7
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36384
38.9%
2 21761
23.2%
0 8712
 
9.3%
3 7601
 
8.1%
) 4922
 
5.3%
( 4922
 
5.3%
5 3023
 
3.2%
1 2631
 
2.8%
. 989
 
1.1%
9 427
 
0.5%
Other values (49) 2238
 
2.4%
Hangul
ValueCountFrequency (%)
15290
 
9.8%
10207
 
6.6%
10042
 
6.5%
9999
 
6.4%
8985
 
5.8%
7876
 
5.1%
7711
 
5.0%
7518
 
4.8%
6511
 
4.2%
6043
 
3.9%
Other values (269) 65305
42.0%
None
ValueCountFrequency (%)
· 53
100.0%
CJK
ValueCountFrequency (%)
7
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

평가구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제출용
8428 
평가용
1572 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제출용
2nd row제출용
3rd row제출용
4th row평가용
5th row제출용

Common Values

ValueCountFrequency (%)
제출용 8428
84.3%
평가용 1572
 
15.7%

Length

2023-12-12T08:35:59.874326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:59.951529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제출용 8428
84.3%
평가용 1572
 
15.7%
Distinct995
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:36:00.193225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters170000
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

Unique609 ?
Unique (%)6.1%

Sample

1st row20230331~20230413
2nd row20230322~20230330
3rd row20230116~20230131
4th row20230322~20230331
5th row20220601~20220719
ValueCountFrequency (%)
20230322~20230330 1916
19.2%
20230322~20230331 1230
 
12.3%
20230623~20230630 713
 
7.1%
20230612~20230623 556
 
5.6%
20220601~20220623 517
 
5.2%
20220601~20220719 359
 
3.6%
20230601~20230621 299
 
3.0%
20230621~20230630 220
 
2.2%
20220627~20220708 186
 
1.9%
20221222~20230222 170
 
1.7%
Other values (985) 3834
38.3%
2023-12-12T08:36:00.565177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 59597
35.1%
0 46139
27.1%
3 30351
17.9%
~ 10000
 
5.9%
1 9640
 
5.7%
6 6301
 
3.7%
4 2094
 
1.2%
7 1992
 
1.2%
8 1428
 
0.8%
5 1402
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
94.1%
Math Symbol 10000
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 59597
37.2%
0 46139
28.8%
3 30351
19.0%
1 9640
 
6.0%
6 6301
 
3.9%
4 2094
 
1.3%
7 1992
 
1.2%
8 1428
 
0.9%
5 1402
 
0.9%
9 1056
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 59597
35.1%
0 46139
27.1%
3 30351
17.9%
~ 10000
 
5.9%
1 9640
 
5.7%
6 6301
 
3.7%
4 2094
 
1.2%
7 1992
 
1.2%
8 1428
 
0.8%
5 1402
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 59597
35.1%
0 46139
27.1%
3 30351
17.9%
~ 10000
 
5.9%
1 9640
 
5.7%
6 6301
 
3.7%
4 2094
 
1.2%
7 1992
 
1.2%
8 1428
 
0.8%
5 1402
 
0.8%
Distinct432
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-02-15 00:00:00
Maximum2023-08-15 00:00:00
2023-12-12T08:36:00.706017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:36:00.866471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct285
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-05-13 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T08:36:01.008393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:36:01.160449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct276
Distinct (%)2.8%
Missing78
Missing (%)0.8%
Memory size156.2 KiB
Minimum2022-05-13 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T08:36:01.323500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:36:01.496400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제출상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
재단 승인
7549 
주관기관 승인
2355 
연구자 접수
 
66
반려
 
15
연구자 작성
 
15

Length

Max length7
Median length5
Mean length5.4746
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주관기관 승인
2nd row재단 승인
3rd row재단 승인
4th row재단 승인
5th row재단 승인

Common Values

ValueCountFrequency (%)
재단 승인 7549
75.5%
주관기관 승인 2355
 
23.5%
연구자 접수 66
 
0.7%
반려 15
 
0.1%
연구자 작성 15
 
0.1%

Length

2023-12-12T08:36:02.002273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:36:02.138966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승인 9904
49.6%
재단 7549
37.8%
주관기관 2355
 
11.8%
연구자 81
 
0.4%
접수 66
 
0.3%
반려 15
 
0.1%
작성 15
 
0.1%

종료전소속기관
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대학
8126 
정부 및 공공연구소
 
770
<NA>
 
636
기타
 
239
민간연구소(기업)
 
229

Length

Max length10
Median length2
Mean length2.9035
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대학
2nd row대학
3rd row정부 및 공공연구소
4th row대학
5th row대학

Common Values

ValueCountFrequency (%)
대학 8126
81.3%
정부 및 공공연구소 770
 
7.7%
<NA> 636
 
6.4%
기타 239
 
2.4%
민간연구소(기업) 229
 
2.3%

Length

2023-12-12T08:36:02.282168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:36:02.425927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대학 8126
70.4%
정부 770
 
6.7%
770
 
6.7%
공공연구소 770
 
6.7%
na 636
 
5.5%
기타 239
 
2.1%
민간연구소(기업 229
 
2.0%

종료후기관변경여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소속기관변경없음
8225 
<NA>
 
793
이직(취업)
 
739
퇴직
 
243

Length

Max length8
Median length8
Mean length7.3892
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소속기관변경없음 8225
82.2%
<NA> 793
 
7.9%
이직(취업) 739
 
7.4%
퇴직 243
 
2.4%

Length

2023-12-12T08:36:02.560923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:36:02.686144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소속기관변경없음 8225
82.2%
na 793
 
7.9%
이직(취업 739
 
7.4%
퇴직 243
 
2.4%

종료후(예정)기관
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대학
7471 
정부 및 공공연구소
832 
<NA>
 
681
민간연구소(기업)
 
447
기타
 
307
Other values (2)
 
262

Length

Max length12
Median length2
Mean length3.3047
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대학
2nd row대학
3rd row정부 및 공공연구소
4th row대학
5th row대학

Common Values

ValueCountFrequency (%)
대학 7471
74.7%
정부 및 공공연구소 832
 
8.3%
<NA> 681
 
6.8%
민간연구소(기업) 447
 
4.5%
기타 307
 
3.1%
소속기관 없음 144
 
1.4%
해외 (대학 및 기관) 118
 
1.2%

Length

2023-12-12T08:36:02.799146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:36:02.922969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대학 7589
62.4%
950
 
7.8%
정부 832
 
6.8%
공공연구소 832
 
6.8%
na 681
 
5.6%
민간연구소(기업 447
 
3.7%
기타 307
 
2.5%
소속기관 144
 
1.2%
없음 144
 
1.2%
해외 118
 
1.0%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전임 → 전임
6110 
비전임 → 비전임
1770 
<NA>
1194 
비전임 → 전임
 
534
비전임 → 소속기관없음
 
140
Other values (2)
 
252

Length

Max length12
Median length7
Mean length7.1855
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전임 → 전임
2nd row전임 → 전임
3rd row전임 → 전임
4th row전임 → 전임
5th row전임 → 전임

Common Values

ValueCountFrequency (%)
전임 → 전임 6110
61.1%
비전임 → 비전임 1770
 
17.7%
<NA> 1194
 
11.9%
비전임 → 전임 534
 
5.3%
비전임 → 소속기관없음 140
 
1.4%
전임 → 소속기관없음 137
 
1.4%
전임 → 비전임 115
 
1.1%

Length

2023-12-12T08:36:03.092649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:36:03.239054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전임 13006
47.1%
8806
31.9%
비전임 4329
 
15.7%
na 1194
 
4.3%
소속기관없음 277
 
1.0%

신분변동사항사유
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
신분변경없음
7922 
<NA>
904 
신규임용
 
761
계약만료
 
256
정년퇴직
 
130
Other values (2)
 
27

Length

Max length6
Median length6
Mean length5.5871
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신분변경없음 7922
79.2%
<NA> 904
 
9.0%
신규임용 761
 
7.6%
계약만료 256
 
2.6%
정년퇴직 130
 
1.3%
창업·개업 24
 
0.2%
출산·육아 3
 
< 0.1%

Length

2023-12-12T08:36:03.402592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:36:03.534012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신분변경없음 7922
79.2%
na 904
 
9.0%
신규임용 761
 
7.6%
계약만료 256
 
2.6%
정년퇴직 130
 
1.3%
창업·개업 24
 
0.2%
출산·육아 3
 
< 0.1%

보안과제여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9986 
True
 
14
ValueCountFrequency (%)
False 9986
99.9%
True 14
 
0.1%
2023-12-12T08:36:03.634197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

배포제한여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing492
Missing (%)4.9%
Memory size97.7 KiB
False
8758 
True
 
750
(Missing)
 
492
ValueCountFrequency (%)
False 8758
87.6%
True 750
 
7.5%
(Missing) 492
 
4.9%
2023-12-12T08:36:03.726868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

사업년도선정년도사업코드대사업명중사업명소사업명세부사업명과제형태신규/계속구분과제번호접수과제번호과제명과제상태연구책임자명연구자번호주관기관명산학연구분주무부처총연구기간당해년도연구기간학문단보고서구분보고서명평가구분보고서제출기한최초작성일자최종수정일자최종검토일시제출상태종료전소속기관종료후기관변경여부종료후(예정)기관신분변동사항신분변동사항사유보안과제여부배포제한여부
383920222019M3E5D1A01원천기술개발사업바이오·의료기술개발사업(단위사업)혁신형의사과학자공동연구선도혁신형의사과학자공동연구세부과제계속2019M3E5D1A010693612022001412전이 암 특이적 신규 표적 발굴 및 임상적용성 검증을 통한 전이제어 실용화 기반기술 구축종료신인철10135861한양대학교과학기술정보통신부2019-07-01 ~ 2022-12-312022-01-01 ~ 2022-12-31<NA>결과보고서22년 12월 종료 혁신형의사과학자공동연구사업 최종보고서(제출용)제출용20230331~202304132023-04-042023-04-052023-04-05주관기관 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
394820222020R1C1C1이공분야기초연구사업신진연구지원사업우수신진연구<NA>단위과제계속2020R1C1C10093142022023527태양광 보급지원사업 평가 및 보급속도 모의를 위한 태양광 발전소 확산 과정의 에이전트 기반 모델링종료김병일10831349안동대학교과학기술정보통신부2020-03-01 ~ 2023-02-282022-03-01 ~ 2023-02-28공학단결과보고서2023년도 우수신진연구 2월종료 최종보고서제출용20230322~202303302023-03-272023-04-062023-04-06재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
284420222021M2E8A1원자력연구개발사업방사선 이용 미래혁신 기반기술연구방사선이용 미래혁신 기반기술연구<NA>단위과제계속2021M2E8A10477812022005064방사선 유도 저분자 펩타이드 규명을 통한 생명체의 방사선 내성 획득 원리 이해 연구진행임상용10103242한국원자력연구원과학기술정보통신부2021-05-01 ~ 2024-12-312022-01-01 ~ 2022-12-31<NA>결과보고서결과보고서제출용20230116~202301312023-01-282023-03-082023-03-08재단 승인정부 및 공공연구소소속기관변경없음정부 및 공공연구소전임 → 전임신분변경없음NN
348220222018R1A2B3이공분야기초연구사업중견연구자지원사업중견연구(총연구비5억 초과)<NA>단위과제계속2018R1A2B30090082022019632난치성 두경부암에서 single-cell transcriptome기반 종양내 비균질성과 종양미세환경분석을 통한 치료저항성 암 극복 정밀제어 치료전략 개발종료김철호10091328아주대학교과학기술정보통신부2018-03-01 ~ 2023-02-282022-03-01 ~ 2023-02-28의약학단결과보고서중견연구(2023년 2월 종료) 최종보고서 제출평가용20230322~202303312023-03-272023-04-042023-04-04재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
140520222018R1D1A1B07이공분야기초연구사업이공학 개인기초연구지원사업기본연구지원사업기본연구(1년~5년)단위과제계속2018R1D1A1B070484792022036942항해안전을 위한 상황인식 지원 시스템 개발에 관한 연구종료홍승권10091348한국교통대학교교육부2018-06-01 ~ 2022-05-312022-03-01 ~ 2022-05-31ICT·융합연구단결과보고서22년5월 종료 기본연구 최종보고서제출용20220601~202207192022-06-172022-10-192022-10-19재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
747920222020M3F3A2A03원천기술개발사업지능형반도체선도기술개발사업차세대지능형반도체기술개발사업신개념소자기초기술개발단위과제계속2020M3F3A2A030827622022001177초저전력 모노리식 고방열 나노 광 반도체 소자 개발종료라용호11133778전북대학교과학기술정보통신부2020-07-01 ~ 2023-02-282022-01-01 ~ 2023-02-28<NA>결과보고서결과보고서평가용20230320~202304282023-04-282023-04-282023-04-28주관기관 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
1043320222019M3E5D5원천기술개발사업바이오·의료기술개발사업(단위사업)혁신신약파이프라인발굴<NA>단위과제계속2019M3E5D50668272022014112아미노 피리미딘 유도체의 저분자 유기화합물 백신 어쥬번트 개발종료한수봉10137583한국화학연구원과학기술정보통신부2019-06-01 ~ 2023-06-302022-01-01 ~ 2023-06-30<NA>결과보고서2023년 6월 종료 바이오의료기술개발사업(신약개발) 최종보고서(평가용)평가용20230615~202307142023-07-122023-07-212023-07-14주관기관 승인정부 및 공공연구소소속기관변경없음<NA><NA>신분변경없음NY
182120222019M3D1A2원천기술개발사업나노 및 소재 기술개발사업(연구단)국가핵심소재연구단(특화형)<NA>세부과제계속2019M3D1A21040182022007649신규 OLED용 청색 호스트 재료의 개발종료이칠원10896175단국대학교(천안캠퍼스)과학기술정보통신부2019-09-27 ~ 2022-12-312022-01-01 ~ 2022-12-31<NA>결과보고서(이어달리기) 국가핵심소재연구단(특화형) 결과보고서평가용20221017~202211292022-11-302022-11-302022-11-30주관기관 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
704920222019R1A2C1이공분야기초연구사업중견연구자지원사업(유형1-1)중견연구<NA>단위과제계속2019R1A2C10059222022026871경량/전도성 복합소재용 유무기 코어-쉘 레이어드 입자 구조제어 연구종료박인경11279784성균관대학교과학기술정보통신부2019-03-01 ~ 2023-02-282022-03-01 ~ 2023-02-28공학단결과보고서중견연구(2023년 종료과제) 최종보고서 제출제출용20230322~202303312023-03-282023-04-242023-04-24재단 승인대학<NA>대학<NA>신분변경없음NN
97120222019R1I1A3A01이공분야기초연구사업학문균형발전지원사업지역대학우수과학자지원사업지역대학우수과학자지원사업(1년~5년)단위과제계속2019R1I1A3A010606952022037652신경세포 분화 특성 연구를 위한 Darkfield 기반 Label-free 소형 광학기술 개발종료정진무11081964전북대학교교육부2019-06-01 ~ 2022-05-312022-03-01 ~ 2022-05-31ICT·융합연구단결과보고서22년5월종료최종보고서제출용20220627~202207082022-07-042022-09-022022-09-02재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
사업년도선정년도사업코드대사업명중사업명소사업명세부사업명과제형태신규/계속구분과제번호접수과제번호과제명과제상태연구책임자명연구자번호주관기관명산학연구분주무부처총연구기간당해년도연구기간학문단보고서구분보고서명평가구분보고서제출기한최초작성일자최종수정일자최종검토일시제출상태종료전소속기관종료후기관변경여부종료후(예정)기관신분변동사항신분변동사항사유보안과제여부배포제한여부
750220222020R1A2C2이공분야기초연구사업중견연구자지원사업(유형1-2)중견연구<NA>단위과제계속2020R1A2C20093892022033213페르미 준위 탈고정화를 이용한 쇼트키 게이트 기반 초저전력, 고성능 원자층 반도체 전자소자 개발종료이철호10966470고려대학교과학기술정보통신부2020-03-01 ~ 2023-02-282022-03-01 ~ 2023-02-28공학단결과보고서중견연구(2023년 2월 종료) 최종보고서 제출제출용20230322~202305042023-03-242023-05-022023-05-02재단 승인대학이직(취업)대학전임 → 전임신규임용NY
745520222018M3A9H1원천기술개발사업바이오·의료기술개발사업줄기세포기반융복합원천기술개발<NA>세부과제계속2018M3A9H10783332022014384희귀질환 특이적 역분화줄기세포를 이용한 생체모사체(세포 모델링과 오가노이드)의 개발 및 응용종료한용만10110206한국과학기술원과학기술정보통신부2018-10-01 ~ 2022-12-312022-01-01 ~ 2022-12-31<NA>결과보고서2022년 12월 종료 바이오·의료기술개발사업(줄기세포/조직재생) 최종보고서(제출용)제출용20230407~202304282023-04-192023-04-282023-04-28재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
452220222020R1G1A1이공분야기초연구사업생애 첫 연구생애 첫 연구<NA>단위과제계속2020R1G1A10071002022030385허혈성 뇌경색환자에서 표피피부 탄성도와 심뇌혈관질환의 재발 및 동맥경화증과의 관계종료박형종11546089계명대학교과학기술정보통신부2020-03-01 ~ 2023-02-282022-03-01 ~ 2023-02-28의약학단결과보고서23년 2월 종료 생애첫연구 최종보고서제출용20230322~202304072023-03-262023-04-072023-04-07재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
957520232020R1I1A1A01이공분야기초연구사업학문균형발전지원사업창의도전연구기반지원창의도전연구기반지원단위과제계속2020R1I1A1A010546512023049373북한의 지역별 대기오염물질 배출원과 농도 분포 추정 연구종료여민주11305291연세대학교교육부2020-06-01 ~ 2023-05-312023-03-01 ~ 2023-05-31ICT·융합연구단결과보고서(2020년 선정) 2023년 5월 30일 종료에 따른 최종보고서 제출제출용20230623~202306302023-06-292023-07-042023-07-04재단 승인대학소속기관변경없음대학비전임 → 비전임신분변경없음NN
281520222019H1A2A1교육인력양성사업글로벌박사펠로우십사업글로벌박사펠로우십사업<NA>단위과제계속2019H1A2A10737492022015462제 2형 당뇨병 및 합병증에 대한 Pgrmc1의 역할 및 치료효과중단(조기종료)이상렬11538744충남대학교교육부2019-03-01 ~ 2022-08-312022-03-01 ~ 2022-08-31<NA>결과보고서결과보고서제출용20220831~202210132022-09-262023-03-072023-03-07재단 승인<NA><NA><NA><NA><NA>N<NA>
582920222017K1A1A2과학기술국제화사업국제공동연구사업글로벌연구실사업<NA>단위과제계속2017K1A1A20131532022017949초고효율, 장수명, 재현성을 지닌 대면적의 인쇄형 플렉서블 페로브스카이트/유기 접합 태양전지 모듈 개발종료이광희10079382광주과학기술원과학기술정보통신부2017-06-01 ~ 2023-02-282022-03-01 ~ 2023-02-28공학단결과보고서2023년 기초연구실(GRL) 결과보고서(평가용)평가용20230411~202304172023-04-122023-04-172023-04-17재단 승인정부 및 공공연구소소속기관변경없음정부 및 공공연구소전임 → 소속기관없음신분변경없음NN
800120222018M1A2A2거대과학연구개발사업기후변화대응기술개발사업기후변화대응 기초원천기술개발과제<NA>총괄과제계속2018M1A2A20633382022014011리튬금속 지능형 계면 및 다중 보호기술 개발종료김희탁10908596한국과학기술원과학기술정보통신부2018-07-27 ~ 2023-02-262021-12-27 ~ 2023-02-26<NA>결과보고서결과보고서평가용20230302~202306012023-04-132023-06-012023-06-01주관기관 승인대학소속기관변경없음대학비전임 → 비전임신분변경없음NN
826920222020M3E4A1원천기술개발사업양자컴퓨팅기술개발사업양자컴퓨팅기술개발사업<NA>단위과제계속2020M3E4A10800302022003679다차원 양자 얽힘 큐디트 개발 연구종료문한섭10163577부산대학교과학기술정보통신부2020-06-01 ~ 2023-02-282022-01-01 ~ 2023-02-28<NA>결과보고서[2023 최종] 양자컴퓨팅기술개발사업(시스템기술) 최종보고제출용20230525~202306092023-06-052023-06-162023-06-16주관기관 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
488020222020R1F1A1이공분야기초연구사업기본연구기본연구<NA>단위과제계속2020R1F1A10603952022020774저전력 사물인터넷 구현을 위한 저가변성 회로설계 기법 연구종료나태희11090719인천대학교과학기술정보통신부2020-06-01 ~ 2023-02-282022-03-01 ~ 2023-02-28ICT·융합연구단결과보고서기본연구 2023년 2월 종료과제 최종보고서제출용20230322~202303302023-03-242023-04-102023-04-10재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN
629920222020R1A2C1이공분야기초연구사업중견연구자지원사업(유형1-1)중견연구<NA>단위과제계속2020R1A2C10074002022033573스마트팩토리 예지보전을 위한 협력 디바이스의 고장 상황인지 프레임워크 및 검증 도구 개발종료이정원10118762아주대학교과학기술정보통신부2020-03-01 ~ 2023-02-282022-03-01 ~ 2023-02-28ICT·융합연구단결과보고서중견연구(2023년 종료과제) 최종보고서 제출제출용20230322~202303312023-03-302023-04-192023-04-19재단 승인대학소속기관변경없음대학전임 → 전임신분변경없음NN

Duplicate rows

Most frequently occurring

사업년도선정년도사업코드대사업명중사업명소사업명세부사업명과제형태신규/계속구분과제번호접수과제번호과제명과제상태연구책임자명연구자번호주관기관명산학연구분주무부처총연구기간당해년도연구기간학문단보고서구분보고서명평가구분보고서제출기한최초작성일자최종수정일자최종검토일시제출상태종료전소속기관종료후기관변경여부종료후(예정)기관신분변동사항신분변동사항사유보안과제여부배포제한여부# duplicates
020222018H1A2A1교육인력양성사업글로벌박사펠로우십사업글로벌박사펠로우십사업<NA>단위과제계속2018H1A2A10626162022016647무자기장 자화반전이 가능한 스핀궤도토크 자기메모리용 소재개발중단(조기종료)김태현11655489고려대학교교육부2018-03-01 ~ 2022-08-312022-03-01 ~ 2022-08-31<NA>결과보고서결과보고서제출용20220728~202209302022-09-102023-03-072023-03-07재단 승인<NA><NA><NA><NA><NA>N<NA>2