Overview

Dataset statistics

Number of variables14
Number of observations79
Missing cells166
Missing cells (%)15.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory114.7 B

Variable types

Text10
Categorical2
DateTime1
Numeric1

Dataset

Description한국항공우주연구원에서 지난 1년 간 수행한 연구와 관련하여 작성한 연구보고서 목록을 제공합니다. 해당 데이터가 보유한 컬럼은 아래와 같습니다. 컬럼 명: 관리번호, 보고서(한글), 계정번호, 과제명, 연구기간, 재원구분명, 발행일자, 면수페이지, 키워드1~ 6
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/3042036/fileData.do

Alerts

면수페이지 is highly overall correlated with 연구기간High correlation
연구기간 is highly overall correlated with 면수페이지 and 1 other fieldsHigh correlation
재원구분명 is highly overall correlated with 연구기간High correlation
키워드2 has 2 (2.5%) missing valuesMissing
키워드3 has 9 (11.4%) missing valuesMissing
키워드4 has 33 (41.8%) missing valuesMissing
키워드5 has 50 (63.3%) missing valuesMissing
키워드6 has 72 (91.1%) missing valuesMissing
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:44:25.434227
Analysis finished2023-12-12 15:44:28.192367
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T00:44:28.410293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters632
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

Unique79 ?
Unique (%)100.0%

Sample

1st row2021-001
2nd row2021-002
3rd row2021-003
4th row2021-004
5th row2021-005
ValueCountFrequency (%)
2021-001 1
 
1.3%
2021-068 1
 
1.3%
2021-065 1
 
1.3%
2021-064 1
 
1.3%
2021-063 1
 
1.3%
2021-061 1
 
1.3%
2021-060 1
 
1.3%
2021-059 1
 
1.3%
2021-058 1
 
1.3%
2021-056 1
 
1.3%
Other values (69) 69
87.3%
2023-12-13T00:44:28.896735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 174
27.5%
2 173
27.4%
1 98
15.5%
- 79
12.5%
3 19
 
3.0%
4 18
 
2.8%
6 17
 
2.7%
5 16
 
2.5%
7 16
 
2.5%
8 16
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 553
87.5%
Dash Punctuation 79
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 174
31.5%
2 173
31.3%
1 98
17.7%
3 19
 
3.4%
4 18
 
3.3%
6 17
 
3.1%
5 16
 
2.9%
7 16
 
2.9%
8 16
 
2.9%
9 6
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 632
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 174
27.5%
2 173
27.4%
1 98
15.5%
- 79
12.5%
3 19
 
3.0%
4 18
 
2.8%
6 17
 
2.7%
5 16
 
2.5%
7 16
 
2.5%
8 16
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 174
27.5%
2 173
27.4%
1 98
15.5%
- 79
12.5%
3 19
 
3.0%
4 18
 
2.8%
6 17
 
2.7%
5 16
 
2.5%
7 16
 
2.5%
8 16
 
2.5%
Distinct78
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T00:44:29.322299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length35
Mean length29.012658
Min length10

Characters and Unicode

Total characters2292
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)97.5%

Sample

1st rowCompliant mechanism을 이용한 항공우주분야 Gripping, Pointing, Deploying mechanism 설계 연구
2nd rowUTM 공역내 무인비행장치 운영 안전기준 연구보고서
3rd row해외 액체로켓엔진 제어기술조사 및 국내 적용 연구
4th row인공지능 기술 기반 이음 진단 연구
5th row주요국가들의 국가위성운영통합체제 의 현황 및 모델연구
ValueCountFrequency (%)
연구 27
 
5.2%
23
 
4.4%
개발 20
 
3.8%
위한 15
 
2.9%
시스템 7
 
1.3%
최종보고서 6
 
1.1%
설계 5
 
1.0%
이용한 4
 
0.8%
기반 4
 
0.8%
기술 4
 
0.8%
Other values (359) 409
78.1%
2023-12-13T00:44:29.895570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
446
 
19.5%
77
 
3.4%
49
 
2.1%
49
 
2.1%
40
 
1.7%
37
 
1.6%
33
 
1.4%
33
 
1.4%
30
 
1.3%
27
 
1.2%
Other values (295) 1471
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1639
71.5%
Space Separator 446
 
19.5%
Uppercase Letter 81
 
3.5%
Lowercase Letter 71
 
3.1%
Decimal Number 24
 
1.0%
Other Punctuation 11
 
0.5%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Dash Punctuation 5
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
77
 
4.7%
49
 
3.0%
49
 
3.0%
40
 
2.4%
37
 
2.3%
33
 
2.0%
33
 
2.0%
30
 
1.8%
27
 
1.6%
27
 
1.6%
Other values (243) 1237
75.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
13.6%
A 9
11.1%
P 8
9.9%
I 8
9.9%
D 7
8.6%
R 7
8.6%
U 5
 
6.2%
T 4
 
4.9%
B 3
 
3.7%
K 3
 
3.7%
Other values (9) 16
19.8%
Lowercase Letter
ValueCountFrequency (%)
i 10
14.1%
n 9
12.7%
o 6
8.5%
e 6
8.5%
m 6
8.5%
a 5
 
7.0%
p 4
 
5.6%
t 4
 
5.6%
c 4
 
5.6%
l 3
 
4.2%
Other values (7) 14
19.7%
Decimal Number
ValueCountFrequency (%)
2 8
33.3%
0 5
20.8%
7 4
16.7%
3 2
 
8.3%
5 2
 
8.3%
1 1
 
4.2%
4 1
 
4.2%
8 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
, 3
27.3%
& 2
 
18.2%
Space Separator
ValueCountFrequency (%)
446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1639
71.5%
Common 501
 
21.9%
Latin 152
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
77
 
4.7%
49
 
3.0%
49
 
3.0%
40
 
2.4%
37
 
2.3%
33
 
2.0%
33
 
2.0%
30
 
1.8%
27
 
1.6%
27
 
1.6%
Other values (243) 1237
75.5%
Latin
ValueCountFrequency (%)
S 11
 
7.2%
i 10
 
6.6%
n 9
 
5.9%
A 9
 
5.9%
P 8
 
5.3%
I 8
 
5.3%
D 7
 
4.6%
R 7
 
4.6%
o 6
 
3.9%
e 6
 
3.9%
Other values (26) 71
46.7%
Common
ValueCountFrequency (%)
446
89.0%
2 8
 
1.6%
( 7
 
1.4%
) 7
 
1.4%
/ 6
 
1.2%
- 5
 
1.0%
0 5
 
1.0%
7 4
 
0.8%
, 3
 
0.6%
3 2
 
0.4%
Other values (6) 8
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1639
71.5%
ASCII 653
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
446
68.3%
S 11
 
1.7%
i 10
 
1.5%
n 9
 
1.4%
A 9
 
1.4%
P 8
 
1.2%
I 8
 
1.2%
2 8
 
1.2%
D 7
 
1.1%
( 7
 
1.1%
Other values (42) 130
 
19.9%
Hangul
ValueCountFrequency (%)
77
 
4.7%
49
 
3.0%
49
 
3.0%
40
 
2.4%
37
 
2.3%
33
 
2.0%
33
 
2.0%
30
 
1.8%
27
 
1.6%
27
 
1.6%
Other values (243) 1237
75.5%
Distinct72
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T00:44:30.231620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters553
Distinct characters27
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

Unique69 ?
Unique (%)87.3%

Sample

1st rowFR20M33
2nd rowGR20120
3rd rowFR20M31
4th rowFR20L15
5th rowKR20056
ValueCountFrequency (%)
cr20010 5
 
6.3%
fr20g00 3
 
3.8%
fr21q40 2
 
2.5%
fr20m36 1
 
1.3%
fr20m26 1
 
1.3%
gr20010 1
 
1.3%
gr19020 1
 
1.3%
fr20b00 1
 
1.3%
sr21071 1
 
1.3%
fr20j03 1
 
1.3%
Other values (62) 62
78.5%
2023-12-13T00:44:30.705229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 158
28.6%
2 104
18.8%
R 66
11.9%
1 36
 
6.5%
F 34
 
6.1%
K 20
 
3.6%
3 18
 
3.3%
M 17
 
3.1%
G 16
 
2.9%
4 11
 
2.0%
Other values (17) 73
13.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 361
65.3%
Uppercase Letter 192
34.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 66
34.4%
F 34
17.7%
K 20
 
10.4%
M 17
 
8.9%
G 16
 
8.3%
I 10
 
5.2%
C 6
 
3.1%
S 5
 
2.6%
Q 3
 
1.6%
N 3
 
1.6%
Other values (7) 12
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 158
43.8%
2 104
28.8%
1 36
 
10.0%
3 18
 
5.0%
4 11
 
3.0%
5 8
 
2.2%
6 8
 
2.2%
9 7
 
1.9%
7 6
 
1.7%
8 5
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 361
65.3%
Latin 192
34.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 66
34.4%
F 34
17.7%
K 20
 
10.4%
M 17
 
8.9%
G 16
 
8.3%
I 10
 
5.2%
C 6
 
3.1%
S 5
 
2.6%
Q 3
 
1.6%
N 3
 
1.6%
Other values (7) 12
 
6.2%
Common
ValueCountFrequency (%)
0 158
43.8%
2 104
28.8%
1 36
 
10.0%
3 18
 
5.0%
4 11
 
3.0%
5 8
 
2.2%
6 8
 
2.2%
9 7
 
1.9%
7 6
 
1.7%
8 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 158
28.6%
2 104
18.8%
R 66
11.9%
1 36
 
6.5%
F 34
 
6.1%
K 20
 
3.6%
3 18
 
3.3%
M 17
 
3.1%
G 16
 
2.9%
4 11
 
2.0%
Other values (17) 73
13.2%
Distinct72
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T00:44:31.181532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length39
Mean length29.303797
Min length6

Characters and Unicode

Total characters2315
Distinct characters299
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)87.3%

Sample

1st rowCompliant mechanism을 이용한 항공우주분야 Gripping, Pointing, Deploying mechanism 연구
2nd row저고도 무인비행장치 교통관리(UTM) 시스템 설계 및 구축(4차년도)
3rd row해외 액체로켓엔진 제어기술조사 및 국내적용 연구
4th row(Sub5) 인공지능 기술 기반 이음 진단 연구
5th rowSS/SE 핵심기반연구(기술료)-sub6
ValueCountFrequency (%)
22
 
4.5%
연구 19
 
3.8%
개발 12
 
2.4%
위한 12
 
2.4%
적립금 9
 
1.8%
sub 9
 
1.8%
다목적실용위성 7
 
1.4%
본체 6
 
1.2%
시스템 6
 
1.2%
개발(7차년도 5
 
1.0%
Other values (315) 387
78.3%
2023-12-13T00:44:31.842445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
415
 
17.9%
80
 
3.5%
( 62
 
2.7%
) 62
 
2.7%
41
 
1.8%
40
 
1.7%
37
 
1.6%
36
 
1.6%
35
 
1.5%
35
 
1.5%
Other values (289) 1472
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1502
64.9%
Space Separator 415
 
17.9%
Lowercase Letter 99
 
4.3%
Uppercase Letter 97
 
4.2%
Open Punctuation 64
 
2.8%
Close Punctuation 64
 
2.8%
Decimal Number 55
 
2.4%
Other Punctuation 14
 
0.6%
Dash Punctuation 4
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
 
5.3%
41
 
2.7%
40
 
2.7%
37
 
2.5%
36
 
2.4%
35
 
2.3%
35
 
2.3%
35
 
2.3%
33
 
2.2%
24
 
1.6%
Other values (231) 1106
73.6%
Uppercase Letter
ValueCountFrequency (%)
S 29
29.9%
I 13
13.4%
A 8
 
8.2%
D 8
 
8.2%
P 6
 
6.2%
U 5
 
5.2%
T 4
 
4.1%
R 4
 
4.1%
K 3
 
3.1%
E 3
 
3.1%
Other values (8) 14
14.4%
Lowercase Letter
ValueCountFrequency (%)
u 20
20.2%
b 19
19.2%
n 8
 
8.1%
i 8
 
8.1%
o 6
 
6.1%
e 5
 
5.1%
m 5
 
5.1%
p 4
 
4.0%
a 4
 
4.0%
t 3
 
3.0%
Other values (8) 17
17.2%
Decimal Number
ValueCountFrequency (%)
7 12
21.8%
2 9
16.4%
5 8
14.5%
6 8
14.5%
3 5
9.1%
1 4
 
7.3%
8 3
 
5.5%
4 3
 
5.5%
0 2
 
3.6%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 6
42.9%
, 3
21.4%
: 3
21.4%
· 1
 
7.1%
& 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 62
96.9%
[ 2
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 62
96.9%
] 2
 
3.1%
Space Separator
ValueCountFrequency (%)
415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
64.9%
Common 616
26.6%
Latin 197
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
 
5.3%
41
 
2.7%
40
 
2.7%
37
 
2.5%
36
 
2.4%
35
 
2.3%
35
 
2.3%
35
 
2.3%
33
 
2.2%
24
 
1.6%
Other values (231) 1106
73.6%
Latin
ValueCountFrequency (%)
S 29
14.7%
u 20
 
10.2%
b 19
 
9.6%
I 13
 
6.6%
n 8
 
4.1%
i 8
 
4.1%
A 8
 
4.1%
D 8
 
4.1%
o 6
 
3.0%
P 6
 
3.0%
Other values (27) 72
36.5%
Common
ValueCountFrequency (%)
415
67.4%
( 62
 
10.1%
) 62
 
10.1%
7 12
 
1.9%
2 9
 
1.5%
5 8
 
1.3%
6 8
 
1.3%
/ 6
 
1.0%
3 5
 
0.8%
1 4
 
0.6%
Other values (11) 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1502
64.9%
ASCII 811
35.0%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
415
51.2%
( 62
 
7.6%
) 62
 
7.6%
S 29
 
3.6%
u 20
 
2.5%
b 19
 
2.3%
I 13
 
1.6%
7 12
 
1.5%
2 9
 
1.1%
5 8
 
1.0%
Other values (46) 162
 
20.0%
Hangul
ValueCountFrequency (%)
80
 
5.3%
41
 
2.7%
40
 
2.7%
37
 
2.5%
36
 
2.4%
35
 
2.3%
35
 
2.3%
35
 
2.3%
33
 
2.2%
24
 
1.6%
Other values (231) 1106
73.6%
Number Forms
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

연구기간
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2020-01-01~2020-01-01
32 
2020-05-01~2020-05-01
12 
2020-05-21~2020-05-21
2021-01-01~2021-01-01
2020-04-01~2020-04-01
Other values (10)
13 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)8.9%

Sample

1st row2020-05-01~2020-05-01
2nd row2020-01-01~2020-01-01
3rd row2020-05-01~2020-05-01
4th row2020-02-01~2020-02-01
5th row2020-04-01~2020-04-01

Common Values

ValueCountFrequency (%)
2020-01-01~2020-01-01 32
40.5%
2020-05-01~2020-05-01 12
 
15.2%
2020-05-21~2020-05-21 9
 
11.4%
2021-01-01~2021-01-01 7
 
8.9%
2020-04-01~2020-04-01 6
 
7.6%
2019-07-01~2019-07-01 2
 
2.5%
2020-07-01~2020-07-01 2
 
2.5%
2019-01-01~2019-01-01 2
 
2.5%
2020-02-01~2020-02-01 1
 
1.3%
2020-03-01~2020-03-01 1
 
1.3%
Other values (5) 5
 
6.3%

Length

2023-12-13T00:44:32.036806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-01-01~2020-01-01 32
40.5%
2020-05-01~2020-05-01 12
 
15.2%
2020-05-21~2020-05-21 9
 
11.4%
2021-01-01~2021-01-01 7
 
8.9%
2020-04-01~2020-04-01 6
 
7.6%
2019-07-01~2019-07-01 2
 
2.5%
2020-07-01~2020-07-01 2
 
2.5%
2019-01-01~2019-01-01 2
 
2.5%
2020-02-01~2020-02-01 1
 
1.3%
2020-03-01~2020-03-01 1
 
1.3%
Other values (5) 5
 
6.3%

재원구분명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
국가과학기술연구회(G)
34 
자체연구(K)
22 
산업통상자원부(C)
공공수탁(IG)
국토교통부(G)
 
3
Other values (6)

Length

Max length12
Median length11
Mean length9.721519
Min length4

Unique

Unique4 ?
Unique (%)5.1%

Sample

1st row국가과학기술연구회(G)
2nd row국토교통부(G)
3rd row국가과학기술연구회(G)
4th row국가과학기술연구회(G)
5th row자체연구(K)

Common Values

ValueCountFrequency (%)
국가과학기술연구회(G) 34
43.0%
자체연구(K) 22
27.8%
산업통상자원부(C) 6
 
7.6%
공공수탁(IG) 5
 
6.3%
국토교통부(G) 3
 
3.8%
과학기술정보통신부(S) 3
 
3.8%
민간수탁(IN, T) 2
 
2.5%
환경부(G) 1
 
1.3%
기타부처 1
 
1.3%
기상청(G) 1
 
1.3%

Length

2023-12-13T00:44:32.198825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국가과학기술연구회(g 34
42.0%
자체연구(k 22
27.2%
산업통상자원부(c 6
 
7.4%
공공수탁(ig 5
 
6.2%
국토교통부(g 3
 
3.7%
과학기술정보통신부(s 3
 
3.7%
민간수탁(in 2
 
2.5%
t 2
 
2.5%
환경부(g 1
 
1.2%
기타부처 1
 
1.2%
Other values (2) 2
 
2.5%
Distinct40
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum1900-01-01 00:00:00
Maximum2021-12-31 00:00:00
2023-12-13T00:44:32.344544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:32.541321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

면수페이지
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.26582
Minimum15
Maximum709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-13T00:44:32.699133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile21.8
Q137.5
median72
Q3112
95-th percentile409.3
Maximum709
Range694
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation133.54388
Coefficient of variation (CV)1.1895328
Kurtosis7.866832
Mean112.26582
Median Absolute Deviation (MAD)38
Skewness2.7168433
Sum8869
Variance17833.967
MonotonicityNot monotonic
2023-12-13T00:44:32.885574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 3
 
3.8%
16 2
 
2.5%
53 2
 
2.5%
51 2
 
2.5%
44 2
 
2.5%
28 2
 
2.5%
26 2
 
2.5%
43 2
 
2.5%
46 2
 
2.5%
34 2
 
2.5%
Other values (56) 58
73.4%
ValueCountFrequency (%)
15 1
1.3%
16 2
2.5%
20 1
1.3%
22 1
1.3%
23 1
1.3%
24 1
1.3%
25 2
2.5%
26 2
2.5%
27 1
1.3%
28 2
2.5%
ValueCountFrequency (%)
709 1
1.3%
636 1
1.3%
501 1
1.3%
448 1
1.3%
405 1
1.3%
330 1
1.3%
300 1
1.3%
298 1
1.3%
281 1
1.3%
259 1
1.3%
Distinct75
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-13T00:44:33.193225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length5.8227848
Min length2

Characters and Unicode

Total characters460
Distinct characters176
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

Unique71 ?
Unique (%)89.9%

Sample

1st row컴플라이언트 메커니즘
2nd row저고도 무인비행장치 교통관리
3rd row액체로켓엔진
4th row기계학습
5th row저궤도위성
ValueCountFrequency (%)
가스터빈 3
 
2.9%
액체로켓엔진 2
 
2.0%
부산 2
 
2.0%
마이크로 2
 
2.0%
항공우주 2
 
2.0%
적층제조 1
 
1.0%
미소진동 1
 
1.0%
환경탑재체 1
 
1.0%
다단연소사이클엔진 1
 
1.0%
화재 1
 
1.0%
Other values (86) 86
84.3%
2023-12-13T00:44:33.719663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
5.0%
14
 
3.0%
12
 
2.6%
11
 
2.4%
10
 
2.2%
9
 
2.0%
9
 
2.0%
8
 
1.7%
7
 
1.5%
7
 
1.5%
Other values (166) 350
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 398
86.5%
Space Separator 23
 
5.0%
Uppercase Letter 21
 
4.6%
Decimal Number 8
 
1.7%
Lowercase Letter 4
 
0.9%
Dash Punctuation 2
 
0.4%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
3.5%
12
 
3.0%
11
 
2.8%
10
 
2.5%
9
 
2.3%
9
 
2.3%
8
 
2.0%
7
 
1.8%
7
 
1.8%
7
 
1.8%
Other values (142) 304
76.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
23.8%
P 3
14.3%
T 2
 
9.5%
C 2
 
9.5%
B 2
 
9.5%
G 1
 
4.8%
D 1
 
4.8%
A 1
 
4.8%
R 1
 
4.8%
L 1
 
4.8%
Other values (2) 2
 
9.5%
Lowercase Letter
ValueCountFrequency (%)
d 1
25.0%
n 1
25.0%
a 1
25.0%
e 1
25.0%
Decimal Number
ValueCountFrequency (%)
7 4
50.0%
2 2
25.0%
0 2
25.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 398
86.5%
Common 37
 
8.0%
Latin 25
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
3.5%
12
 
3.0%
11
 
2.8%
10
 
2.5%
9
 
2.3%
9
 
2.3%
8
 
2.0%
7
 
1.8%
7
 
1.8%
7
 
1.8%
Other values (142) 304
76.4%
Latin
ValueCountFrequency (%)
S 5
20.0%
P 3
12.0%
T 2
 
8.0%
C 2
 
8.0%
B 2
 
8.0%
G 1
 
4.0%
D 1
 
4.0%
A 1
 
4.0%
R 1
 
4.0%
d 1
 
4.0%
Other values (6) 6
24.0%
Common
ValueCountFrequency (%)
23
62.2%
7 4
 
10.8%
2 2
 
5.4%
0 2
 
5.4%
- 2
 
5.4%
/ 2
 
5.4%
) 1
 
2.7%
( 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 398
86.5%
ASCII 62
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
37.1%
S 5
 
8.1%
7 4
 
6.5%
P 3
 
4.8%
2 2
 
3.2%
0 2
 
3.2%
- 2
 
3.2%
T 2
 
3.2%
/ 2
 
3.2%
C 2
 
3.2%
Other values (14) 15
24.2%
Hangul
ValueCountFrequency (%)
14
 
3.5%
12
 
3.0%
11
 
2.8%
10
 
2.5%
9
 
2.3%
9
 
2.3%
8
 
2.0%
7
 
1.8%
7
 
1.8%
7
 
1.8%
Other values (142) 304
76.4%

키워드2
Text

MISSING 

Distinct76
Distinct (%)98.7%
Missing2
Missing (%)2.5%
Memory size764.0 B
2023-12-13T00:44:34.126170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.5324675
Min length2

Characters and Unicode

Total characters426
Distinct characters178
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)97.4%

Sample

1st row적층제조기술
2nd row무인비행장치
3rd row제어시스템
4th row인공지능
5th row통합운영
ValueCountFrequency (%)
미래해양도시 2
 
2.0%
천리안위성 2
 
2.0%
r&d 2
 
2.0%
아리랑위성 2
 
2.0%
제어법칙 1
 
1.0%
과잉 1
 
1.0%
연소 1
 
1.0%
항공기 1
 
1.0%
위성탑재 1
 
1.0%
arinc825 1
 
1.0%
Other values (86) 86
86.0%
2023-12-13T00:44:34.726551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.6%
18
 
4.2%
10
 
2.3%
10
 
2.3%
9
 
2.1%
9
 
2.1%
8
 
1.9%
8
 
1.9%
7
 
1.6%
7
 
1.6%
Other values (168) 316
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
85.7%
Space Separator 24
 
5.6%
Uppercase Letter 16
 
3.8%
Lowercase Letter 12
 
2.8%
Decimal Number 6
 
1.4%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
4.9%
10
 
2.7%
10
 
2.7%
9
 
2.5%
9
 
2.5%
8
 
2.2%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
Other values (143) 273
74.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
16.7%
r 2
16.7%
n 1
8.3%
o 1
8.3%
l 1
8.3%
a 1
8.3%
m 1
8.3%
e 1
8.3%
t 1
8.3%
c 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
R 4
25.0%
D 2
12.5%
I 2
12.5%
N 1
 
6.2%
C 1
 
6.2%
S 1
 
6.2%
P 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
3 2
33.3%
5 1
16.7%
8 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
85.7%
Common 33
 
7.7%
Latin 28
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
4.9%
10
 
2.7%
10
 
2.7%
9
 
2.5%
9
 
2.5%
8
 
2.2%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
Other values (143) 273
74.8%
Latin
ValueCountFrequency (%)
A 4
14.3%
R 4
14.3%
D 2
 
7.1%
i 2
 
7.1%
r 2
 
7.1%
I 2
 
7.1%
N 1
 
3.6%
C 1
 
3.6%
S 1
 
3.6%
n 1
 
3.6%
Other values (8) 8
28.6%
Common
ValueCountFrequency (%)
24
72.7%
2 2
 
6.1%
& 2
 
6.1%
3 2
 
6.1%
5 1
 
3.0%
8 1
 
3.0%
/ 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
85.7%
ASCII 61
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
39.3%
A 4
 
6.6%
R 4
 
6.6%
2 2
 
3.3%
D 2
 
3.3%
& 2
 
3.3%
3 2
 
3.3%
i 2
 
3.3%
r 2
 
3.3%
I 2
 
3.3%
Other values (15) 15
24.6%
Hangul
ValueCountFrequency (%)
18
 
4.9%
10
 
2.7%
10
 
2.7%
9
 
2.5%
9
 
2.5%
8
 
2.2%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
Other values (143) 273
74.8%

키워드3
Text

MISSING 

Distinct65
Distinct (%)92.9%
Missing9
Missing (%)11.4%
Memory size764.0 B
2023-12-13T00:44:35.017264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.3857143
Min length2

Characters and Unicode

Total characters377
Distinct characters169
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)88.6%

Sample

1st row배타적 공역
2nd row팽창식 사이클
3rd row학습모델
4th row거버넌스
5th row축비
ValueCountFrequency (%)
초소형위성 4
 
4.4%
아리랑위성 2
 
2.2%
스타트업 2
 
2.2%
인버터 2
 
2.2%
autocode 1
 
1.1%
항공우주기술 1
 
1.1%
프린팅 1
 
1.1%
3d 1
 
1.1%
지중탐사 1
 
1.1%
애로기술해결 1
 
1.1%
Other values (74) 74
82.2%
2023-12-13T00:44:35.603528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
5.3%
12
 
3.2%
11
 
2.9%
10
 
2.7%
8
 
2.1%
7
 
1.9%
6
 
1.6%
6
 
1.6%
5
 
1.3%
D 5
 
1.3%
Other values (159) 287
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
88.6%
Space Separator 20
 
5.3%
Uppercase Letter 11
 
2.9%
Lowercase Letter 7
 
1.9%
Dash Punctuation 2
 
0.5%
Decimal Number 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
3.6%
11
 
3.3%
10
 
3.0%
8
 
2.4%
7
 
2.1%
6
 
1.8%
6
 
1.8%
5
 
1.5%
5
 
1.5%
5
 
1.5%
Other values (144) 259
77.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
e 1
14.3%
d 1
14.3%
c 1
14.3%
t 1
14.3%
u 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 5
45.5%
C 2
 
18.2%
R 2
 
18.2%
A 2
 
18.2%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
88.6%
Common 25
 
6.6%
Latin 18
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
3.6%
11
 
3.3%
10
 
3.0%
8
 
2.4%
7
 
2.1%
6
 
1.8%
6
 
1.8%
5
 
1.5%
5
 
1.5%
5
 
1.5%
Other values (144) 259
77.5%
Latin
ValueCountFrequency (%)
D 5
27.8%
C 2
 
11.1%
R 2
 
11.1%
A 2
 
11.1%
o 2
 
11.1%
e 1
 
5.6%
d 1
 
5.6%
c 1
 
5.6%
t 1
 
5.6%
u 1
 
5.6%
Common
ValueCountFrequency (%)
20
80.0%
- 2
 
8.0%
3 1
 
4.0%
6 1
 
4.0%
& 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
88.6%
ASCII 43
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
46.5%
D 5
 
11.6%
C 2
 
4.7%
- 2
 
4.7%
R 2
 
4.7%
A 2
 
4.7%
o 2
 
4.7%
3 1
 
2.3%
6 1
 
2.3%
e 1
 
2.3%
Other values (5) 5
 
11.6%
Hangul
ValueCountFrequency (%)
12
 
3.6%
11
 
3.3%
10
 
3.0%
8
 
2.4%
7
 
2.1%
6
 
1.8%
6
 
1.8%
5
 
1.5%
5
 
1.5%
5
 
1.5%
Other values (144) 259
77.5%

키워드4
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing33
Missing (%)41.8%
Memory size764.0 B
2023-12-13T00:44:35.946532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.2173913
Min length2

Characters and Unicode

Total characters240
Distinct characters130
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row안전기준
2nd row메탄엔진
3rd row이상진단
4th row국가
5th row교차편파
ValueCountFrequency (%)
큐브위성 2
 
3.5%
국제공동개발 1
 
1.8%
비행시험 1
 
1.8%
기상임무운영 1
 
1.8%
rvd 1
 
1.8%
지상국/우우운용 1
 
1.8%
개인용항공기 1
 
1.8%
생명유지시스템 1
 
1.8%
시동해석 1
 
1.8%
진동절연기 1
 
1.8%
Other values (46) 46
80.7%
2023-12-13T00:44:36.470333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
4.6%
10
 
4.2%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
4
 
1.7%
4
 
1.7%
4
 
1.7%
4
 
1.7%
Other values (120) 182
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
86.2%
Space Separator 11
 
4.6%
Uppercase Letter 10
 
4.2%
Lowercase Letter 9
 
3.8%
Other Punctuation 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
4.8%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
Other values (102) 156
75.4%
Uppercase Letter
ValueCountFrequency (%)
R 2
20.0%
D 2
20.0%
V 1
10.0%
A 1
10.0%
U 1
10.0%
H 1
10.0%
T 1
10.0%
M 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
s 3
33.3%
e 2
22.2%
r 1
 
11.1%
a 1
 
11.1%
t 1
 
11.1%
n 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
86.2%
Latin 19
 
7.9%
Common 14
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
4.8%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
Other values (102) 156
75.4%
Latin
ValueCountFrequency (%)
s 3
15.8%
R 2
10.5%
D 2
10.5%
e 2
10.5%
V 1
 
5.3%
A 1
 
5.3%
U 1
 
5.3%
r 1
 
5.3%
a 1
 
5.3%
H 1
 
5.3%
Other values (4) 4
21.1%
Common
ValueCountFrequency (%)
11
78.6%
/ 1
 
7.1%
& 1
 
7.1%
- 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
86.2%
ASCII 33
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
33.3%
s 3
 
9.1%
R 2
 
6.1%
D 2
 
6.1%
e 2
 
6.1%
/ 1
 
3.0%
V 1
 
3.0%
A 1
 
3.0%
U 1
 
3.0%
r 1
 
3.0%
Other values (8) 8
24.2%
Hangul
ValueCountFrequency (%)
10
 
4.8%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
Other values (102) 156
75.4%

키워드5
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing50
Missing (%)63.3%
Memory size764.0 B
2023-12-13T00:44:36.793092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.7586207
Min length2

Characters and Unicode

Total characters138
Distinct characters91
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row분리
2nd row추진기관
3rd row소음
4th row구조 안정성
5th row설계
ValueCountFrequency (%)
위성활용 2
 
5.9%
발전계획 1
 
2.9%
인공지능 1
 
2.9%
스핀오프 1
 
2.9%
우주정책 1
 
2.9%
민간우주기업 1
 
2.9%
보강시스템 1
 
2.9%
위성 1
 
2.9%
통합공간정보 1
 
2.9%
정지궤도위성 1
 
2.9%
Other values (23) 23
67.6%
2023-12-13T00:44:37.298522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
4.3%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (81) 98
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
96.4%
Space Separator 5
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
4.5%
5
 
3.8%
4
 
3.0%
4
 
3.0%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (80) 95
71.4%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
96.4%
Common 5
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
4.5%
5
 
3.8%
4
 
3.0%
4
 
3.0%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (80) 95
71.4%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
96.4%
ASCII 5
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
4.5%
5
 
3.8%
4
 
3.0%
4
 
3.0%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (80) 95
71.4%
ASCII
ValueCountFrequency (%)
5
100.0%

키워드6
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing72
Missing (%)91.1%
Memory size764.0 B
2023-12-13T00:44:37.518701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.2857143
Min length2

Characters and Unicode

Total characters44
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)71.4%

Sample

1st row프랍
2nd row해양 관측 영상
3rd row초소형위성
4th row안테나 및 네트워크 운영
5th row구름탐지
ValueCountFrequency (%)
인공지능 2
16.7%
프랍 1
8.3%
해양 1
8.3%
관측 1
8.3%
영상 1
8.3%
초소형위성 1
8.3%
안테나 1
8.3%
1
8.3%
네트워크 1
8.3%
운영 1
8.3%
2023-12-13T00:44:37.890478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
20.5%
3
 
6.8%
2
 
4.5%
2
 
4.5%
2
 
4.5%
2
 
4.5%
1
 
2.3%
1
 
2.3%
1
 
2.3%
1
 
2.3%
Other values (20) 20
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35
79.5%
Space Separator 9
 
20.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
8.6%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (19) 19
54.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35
79.5%
Common 9
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
8.6%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (19) 19
54.3%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35
79.5%
ASCII 9
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
3
 
8.6%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (19) 19
54.3%

Interactions

2023-12-13T00:44:27.244868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:44:38.025923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호보고서(한글)계정번호과제명연구기간재원구분명발행일자면수페이지키워드1키워드2키워드3키워드4키워드5키워드6
관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
보고서(한글)1.0001.0000.9940.9940.9911.0000.0000.0001.0001.0001.0001.0001.0001.000
계정번호1.0000.9941.0001.0001.0001.0000.7430.9950.9350.9940.9200.9830.9581.000
과제명1.0000.9941.0001.0001.0001.0000.7430.9950.9350.9940.9200.9830.9581.000
연구기간1.0000.9911.0001.0001.0000.8730.9370.8520.9840.9910.9920.9890.9800.000
재원구분명1.0001.0001.0001.0000.8731.0000.9390.5880.9981.0000.9811.0001.0001.000
발행일자1.0000.0000.7430.7430.9370.9391.0000.8940.9390.5400.0000.9390.9530.897
면수페이지1.0000.0000.9950.9950.8520.5880.8941.0000.0000.0000.0000.8770.9400.832
키워드11.0001.0000.9350.9350.9840.9980.9390.0001.0001.0000.9931.0001.0001.000
키워드21.0001.0000.9940.9940.9911.0000.5400.0001.0001.0001.0001.0001.0001.000
키워드31.0001.0000.9200.9200.9920.9810.0000.0000.9931.0001.0001.0001.0001.000
키워드41.0001.0000.9830.9830.9891.0000.9390.8771.0001.0001.0001.0001.0001.000
키워드51.0001.0000.9580.9580.9801.0000.9530.9401.0001.0001.0001.0001.0001.000
키워드61.0001.0001.0001.0000.0001.0000.8970.8321.0001.0001.0001.0001.0001.000
2023-12-13T00:44:38.198591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재원구분명연구기간
재원구분명1.0000.564
연구기간0.5641.000
2023-12-13T00:44:38.316155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면수페이지연구기간재원구분명
면수페이지1.0000.5020.292
연구기간0.5021.0000.564
재원구분명0.2920.5641.000

Missing values

2023-12-13T00:44:27.720777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:44:27.970470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T00:44:28.115680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관리번호보고서(한글)계정번호과제명연구기간재원구분명발행일자면수페이지키워드1키워드2키워드3키워드4키워드5키워드6
02021-001Compliant mechanism을 이용한 항공우주분야 Gripping, Pointing, Deploying mechanism 설계 연구FR20M33Compliant mechanism을 이용한 항공우주분야 Gripping, Pointing, Deploying mechanism 연구2020-05-01~2020-05-01국가과학기술연구회(G)2021-01-0416컴플라이언트 메커니즘적층제조기술<NA><NA><NA><NA>
12021-002UTM 공역내 무인비행장치 운영 안전기준 연구보고서GR20120저고도 무인비행장치 교통관리(UTM) 시스템 설계 및 구축(4차년도)2020-01-01~2020-01-01국토교통부(G)2020-12-24134저고도 무인비행장치 교통관리무인비행장치배타적 공역안전기준분리<NA>
22021-003해외 액체로켓엔진 제어기술조사 및 국내 적용 연구FR20M31해외 액체로켓엔진 제어기술조사 및 국내적용 연구2020-05-01~2020-05-01국가과학기술연구회(G)2021-01-0425액체로켓엔진제어시스템팽창식 사이클메탄엔진추진기관<NA>
32021-004인공지능 기술 기반 이음 진단 연구FR20L15(Sub5) 인공지능 기술 기반 이음 진단 연구2020-02-01~2020-02-01국가과학기술연구회(G)2020-12-3127기계학습인공지능학습모델이상진단소음<NA>
42021-005주요국가들의 국가위성운영통합체제 의 현황 및 모델연구KR20056SS/SE 핵심기반연구(기술료)-sub62020-04-01~2020-04-01자체연구(K)2021-01-14131저궤도위성통합운영거버넌스국가<NA><NA>
52021-006저궤도위성 TC&R 운용 주파수 확장을 위한 X대역 안테나 프로토타입 설계 연구CR20010다목적실용위성 6호 본체 개발(7차년도)2020-01-01~2020-01-01산업통상자원부(C)2021-01-1346안테나방사패턴축비교차편파<NA><NA>
62021-007항공용 마이크로 가스터빈 엔진 통합설계 플랫폼 구축FR20M24(Sub 4) 항공용 마이크로 가스터빈 엔진 통합설계 플랫폼 구축2020-01-01~2020-01-01국가과학기술연구회(G)2021-02-0148마이크로 가스터빈<NA><NA><NA><NA><NA>
72021-008하중 도출을 위한 연성하중해석 모델 수립방안 연구CR20010다목적실용위성 6호 본체 개발(7차년도)2020-01-01~2020-01-01산업통상자원부(C)2021-01-1553연성하중해석축약모델하중변환행렬크레이그-뱀프톤 방법구조 안정성<NA>
82021-010다목적실용위성 대기보정을 위한 정지궤도 위성 기반 대기변수산출 알고리즘 개발FR20G00위성정보활용2020-01-01~2020-01-01국가과학기술연구회(G)1900-01-01123대기보정지궤도위성아리랑위성에어로솔<NA><NA>
92021-011SAR 편파/간섭(Polarimetric InSAR) 영상 활용기술 개발 연구FR20G00위성정보활용2020-01-01~2020-01-01국가과학기술연구회(G)1900-01-0182SARPolarimetric InSAR아리랑위성 6호<NA><NA><NA>
관리번호보고서(한글)계정번호과제명연구기간재원구분명발행일자면수페이지키워드1키워드2키워드3키워드4키워드5키워드6
692021-079뉴스페이스 스타트업 생태계 현황과 스케일업 지원방안FR21Q40우주개발전문기관 역할 수행을 위한 정책 연구2021-01-01~2021-01-01국가과학기술연구회(G)2021-11-30101뉴스페이스스케일업스타트업R&D 지원민간우주기업<NA>
702021-080우주정책연구 제4권FR21Q40우주개발전문기관 역할 수행을 위한 정책 연구2021-01-01~2021-01-01국가과학기술연구회(G)2021-12-22129우주안보우주경제우주관광공중발사우주정책<NA>
712021-081연소기 점화시험 용역 보고서IG20130연소기 점화시험 용역2020-06-26~2020-06-26공공수탁(IG)2021-12-1039가스터빈연소기점화저온점화<NA><NA>
722021-082지역수요에 기반한 초소형위성 개발 전략 및 데이터 활용 연구IG20070지역수요에 기반한 초소형위성 개발 전략 및 데이터 활용연구(2차년도)2020-01-01~2020-01-01공공수탁(IG)2021-12-02281부산미래해양도시초소형위성큐브위성위성활용인공지능
732021-083지역수요에 기반한 초소형위성 개발 전략 및 데이터 활용 연구IG21030지역수요에 기반한 초소형위성 개발 전략 및 데이터 활용연구(3차년도)2021-01-01~2021-01-01공공수탁(IG)2021-12-03124부산미래해양도시초소형위성큐브위성위성활용인공지능
742021-084항공우주 창업 지원 사업FR21N20항공우주 창업 지원 사업2021-01-01~2021-01-01국가과학기술연구회(G)2021-12-1025항공우주기술창업스타트업신산업 창출스핀오프<NA>
752021-085유무인겸용 분산추진 수직이착륙 1인승급 비행시제기 시스템 개발 3차년도 연차보고서CR21030유무인겸용 분산추진 수직이착륙 1인승급 비행시제기 시스템 개발2021-01-01~2021-01-01산업통상자원부(C)2021-12-0199유무인겸용전기분산추진수직이착륙개인항공기<NA><NA>
762021-086정밀통합항법 적용 및 성능 검증 보고서SR21071저고도 무인비행장치 교통관리체계 실증을 위한 정밀통합 항법기술 개발 및 실증2021-01-01~2021-01-01과학기술정보통신부(S)1900-01-01109저속/고속 무인비행체항법오차제어오차별도 비행시험<NA><NA>
772021-087DEP 항공기의 제어법칙 Autocode 개발 및 비행시험 평가IN20060DEP 항공기의 제어법칙 Autocode 개발 및 비행시험 평가2020-06-19~2020-06-19민간수탁(IN, T)2021-12-15174분산추진 전기동력제어법칙AutocodeTest Harness현대자동차<NA>
782021-088사전기획 및 평가관리사업FR21Q30사전기획 및 평가관리사업2021-01-01~2021-01-01국가과학기술연구회(G)2021-12-31102주요사업사전기획융합연구<NA><NA><NA>