Overview

Dataset statistics

Number of variables30
Number of observations30
Missing cells341
Missing cells (%)37.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory246.4 B

Variable types

Categorical4
Text26

Dataset

Description한국항공우주연구원에서 조사 및 발간하고 있는 항공우주관련 기술동향 및 산업정보동향 학술지 정보입니다..
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/3052223/fileData.do

Alerts

권 has constant value ""Constant
제8저자 has constant value ""Constant
제9저자 has constant value ""Constant
제10저자 has constant value ""Constant
국문키워드7 has constant value ""Constant
영문키워드7 has constant value ""Constant
제2저자 has 6 (20.0%) missing valuesMissing
제3저자 has 11 (36.7%) missing valuesMissing
제4저자 has 15 (50.0%) missing valuesMissing
제5저자 has 22 (73.3%) missing valuesMissing
제6저자 has 27 (90.0%) missing valuesMissing
제7저자 has 28 (93.3%) missing valuesMissing
제8저자 has 29 (96.7%) missing valuesMissing
제9저자 has 29 (96.7%) missing valuesMissing
제10저자 has 29 (96.7%) missing valuesMissing
국문키워드4 has 8 (26.7%) missing valuesMissing
국문키워드5 has 16 (53.3%) missing valuesMissing
국문키워드6 has 23 (76.7%) missing valuesMissing
국문키워드7 has 29 (96.7%) missing valuesMissing
영문키워드4 has 4 (13.3%) missing valuesMissing
영문키워드5 has 13 (43.3%) missing valuesMissing
영문키워드6 has 23 (76.7%) missing valuesMissing
영문키워드7 has 29 (96.7%) missing valuesMissing
제목(국문) has unique valuesUnique
제목(영문) has unique valuesUnique
제1저자 has unique valuesUnique
국문키워드2 has unique valuesUnique
국문키워드3 has unique valuesUnique
영문키워드2 has unique valuesUnique
영문키워드3 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:25:41.509156
Analysis finished2023-12-12 13:25:42.424060
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발간일자
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-07-01
17 
2020-12-01
13 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-07-01
2nd row2020-07-01
3rd row2020-07-01
4th row2020-07-01
5th row2020-07-01

Common Values

ValueCountFrequency (%)
2020-07-01 17
56.7%
2020-12-01 13
43.3%

Length

2023-12-12T22:25:42.490468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:25:42.582451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-07-01 17
56.7%
2020-12-01 13
43.3%

권
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
18
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 30
100.0%

Length

2023-12-12T22:25:42.703621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:25:42.803011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 30
100.0%

호
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
15 
2
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 15
50.0%
2 15
50.0%

Length

2023-12-12T22:25:42.914089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:25:43.000111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
50.0%
2 15
50.0%

동향 구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
기술
22 
산업 정책
8 

Length

Max length5
Median length2
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산업 정책
2nd row산업 정책
3rd row산업 정책
4th row산업 정책
5th row기술

Common Values

ValueCountFrequency (%)
기술 22
73.3%
산업 정책 8
 
26.7%

Length

2023-12-12T22:25:43.101978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:25:43.201386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기술 22
57.9%
산업 8
 
21.1%
정책 8
 
21.1%

제목(국문)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:43.471550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length24.466667
Min length13

Characters and Unicode

Total characters734
Distinct characters198
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

Unique30 ?
Unique (%)100.0%

Sample

1st row미국항공우주국 SLS 발사체 개발 동향
2nd row대한민국 위성산업화를 위한 기술감리 수행방안 및 국외동향
3rd row소형위성 발사수요와 국내 우주수송산업 현황에 관한 조사
4th row도심 항공 모빌리티 산업 동향
5th row드론용 하이브리드 동력시스템 설계 특성 및 개발 동향
ValueCountFrequency (%)
동향 16
 
8.8%
및 10
 
5.5%
개발 8
 
4.4%
기술 7
 
3.8%
위한 7
 
3.8%
현황 3
 
1.6%
국내외 2
 
1.1%
설계 2
 
1.1%
시스템 2
 
1.1%
최신 2
 
1.1%
Other values (123) 123
67.6%
2023-12-12T22:25:43.903218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
 
20.7%
기 23
 
3.1%
동 20
 
2.7%
향 19
 
2.6%
발 16
 
2.2%
위 15
 
2.0%
사 14
 
1.9%
국 11
 
1.5%
한 10
 
1.4%
및 10
 
1.4%
Other values (188) 444
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 534
72.8%
Space Separator 152
 
20.7%
Uppercase Letter 33
 
4.5%
Decimal Number 5
 
0.7%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Lowercase Letter 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
4.3%
동 20
 
3.7%
향 19
 
3.6%
발 16
 
3.0%
위 15
 
2.8%
사 14
 
2.6%
국 11
 
2.1%
한 10
 
1.9%
및 10
 
1.9%
술 10
 
1.9%
Other values (161) 386
72.3%
Uppercase Letter
ValueCountFrequency (%)
S 7
21.2%
P 4
12.1%
G 3
9.1%
I 3
9.1%
A 3
9.1%
C 3
9.1%
E 2
 
6.1%
N 2
 
6.1%
K 1
 
3.0%
R 1
 
3.0%
Other values (4) 4
12.1%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
5 1
20.0%
8 1
20.0%
3 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
r 1
33.3%
a 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
」 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
「 1
33.3%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 534
72.8%
Common 164
 
22.3%
Latin 36
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
4.3%
동 20
 
3.7%
향 19
 
3.6%
발 16
 
3.0%
위 15
 
2.8%
사 14
 
2.6%
국 11
 
2.1%
한 10
 
1.9%
및 10
 
1.9%
술 10
 
1.9%
Other values (161) 386
72.3%
Latin
ValueCountFrequency (%)
S 7
19.4%
P 4
11.1%
G 3
8.3%
I 3
8.3%
A 3
8.3%
C 3
8.3%
E 2
 
5.6%
N 2
 
5.6%
K 1
 
2.8%
R 1
 
2.8%
Other values (7) 7
19.4%
Common
ValueCountFrequency (%)
152
92.7%
) 2
 
1.2%
( 2
 
1.2%
2 2
 
1.2%
5 1
 
0.6%
8 1
 
0.6%
- 1
 
0.6%
」 1
 
0.6%
「 1
 
0.6%
3 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 534
72.8%
ASCII 198
 
27.0%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
76.8%
S 7
 
3.5%
P 4
 
2.0%
G 3
 
1.5%
I 3
 
1.5%
A 3
 
1.5%
C 3
 
1.5%
) 2
 
1.0%
( 2
 
1.0%
E 2
 
1.0%
Other values (15) 17
 
8.6%
Hangul
ValueCountFrequency (%)
기 23
 
4.3%
동 20
 
3.7%
향 19
 
3.6%
발 16
 
3.0%
위 15
 
2.8%
사 14
 
2.6%
국 11
 
2.1%
한 10
 
1.9%
및 10
 
1.9%
술 10
 
1.9%
Other values (161) 386
72.3%
None
ValueCountFrequency (%)
」 1
50.0%
「 1
50.0%

제목(영문)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:44.178248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length66.5
Mean length62.333333
Min length24

Characters and Unicode

Total characters1870
Distinct characters56
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowNASA’s Space Launch System Development Status
2nd rowTechnical Supervision Implementation Plan for Space Industrialization of Korea and Foreign Trends
3rd rowA Survey on Smallsat Launch Demand and Domestic Space Transportation Industry
4th rowUrban Air Mobility Trend
5th rowOverview of Development and Design Characteristics of Hybrid Power System for Drone
ValueCountFrequency (%)
of 19
 
7.1%
for 14
 
5.3%
and 14
 
5.3%
trends 10
 
3.8%
launch 7
 
2.6%
development 7
 
2.6%
technology 7
 
2.6%
space 6
 
2.3%
system 6
 
2.3%
trend 6
 
2.3%
Other values (137) 170
63.9%
2023-12-12T22:25:44.592787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
12.6%
e 158
 
8.4%
a 133
 
7.1%
n 131
 
7.0%
o 121
 
6.5%
t 113
 
6.0%
i 102
 
5.5%
r 95
 
5.1%
l 77
 
4.1%
s 71
 
3.8%
Other values (46) 633
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1366
73.0%
Uppercase Letter 252
 
13.5%
Space Separator 236
 
12.6%
Decimal Number 7
 
0.4%
Dash Punctuation 6
 
0.3%
Other Punctuation 2
 
0.1%
Final Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 158
11.6%
a 133
9.7%
n 131
9.6%
o 121
 
8.9%
t 113
 
8.3%
i 102
 
7.5%
r 95
 
7.0%
l 77
 
5.6%
s 71
 
5.2%
c 55
 
4.0%
Other values (15) 310
22.7%
Uppercase Letter
ValueCountFrequency (%)
S 46
18.3%
T 33
13.1%
D 22
8.7%
A 22
8.7%
C 20
7.9%
P 16
 
6.3%
I 12
 
4.8%
L 12
 
4.8%
R 11
 
4.4%
E 10
 
4.0%
Other values (11) 48
19.0%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 1
14.3%
9 1
14.3%
3 1
14.3%
8 1
14.3%
5 1
14.3%
Space Separator
ValueCountFrequency (%)
236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1618
86.5%
Common 252
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 158
 
9.8%
a 133
 
8.2%
n 131
 
8.1%
o 121
 
7.5%
t 113
 
7.0%
i 102
 
6.3%
r 95
 
5.9%
l 77
 
4.8%
s 71
 
4.4%
c 55
 
3.4%
Other values (36) 562
34.7%
Common
ValueCountFrequency (%)
236
93.7%
- 6
 
2.4%
2 2
 
0.8%
. 2
 
0.8%
’ 1
 
0.4%
1 1
 
0.4%
9 1
 
0.4%
3 1
 
0.4%
8 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1869
99.9%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
 
12.6%
e 158
 
8.5%
a 133
 
7.1%
n 131
 
7.0%
o 121
 
6.5%
t 113
 
6.0%
i 102
 
5.5%
r 95
 
5.1%
l 77
 
4.1%
s 71
 
3.8%
Other values (45) 632
33.8%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

제1저자
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:44.838904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9666667
Min length2

Characters and Unicode

Total characters89
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row박창수
2nd row한동인
3rd row황신희
4th row전용민
5th row김근배
ValueCountFrequency (%)
박창수 1
 
3.3%
한동인 1
 
3.3%
신재성 1
 
3.3%
김홍일 1
 
3.3%
이승윤 1
 
3.3%
서대반 1
 
3.3%
이나영 1
 
3.3%
원영진 1
 
3.3%
박응식 1
 
3.3%
박재익 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T22:25:45.152913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
5.6%
진 4
 
4.5%
정 4
 
4.5%
서 3
 
3.4%
영 3
 
3.4%
창 3
 
3.4%
박 3
 
3.4%
신 2
 
2.2%
장 2
 
2.2%
수 2
 
2.2%
Other values (47) 58
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
5.6%
진 4
 
4.5%
정 4
 
4.5%
서 3
 
3.4%
영 3
 
3.4%
창 3
 
3.4%
박 3
 
3.4%
신 2
 
2.2%
장 2
 
2.2%
수 2
 
2.2%
Other values (47) 58
65.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
5.6%
진 4
 
4.5%
정 4
 
4.5%
서 3
 
3.4%
영 3
 
3.4%
창 3
 
3.4%
박 3
 
3.4%
신 2
 
2.2%
장 2
 
2.2%
수 2
 
2.2%
Other values (47) 58
65.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
5.6%
진 4
 
4.5%
정 4
 
4.5%
서 3
 
3.4%
영 3
 
3.4%
창 3
 
3.4%
박 3
 
3.4%
신 2
 
2.2%
장 2
 
2.2%
수 2
 
2.2%
Other values (47) 58
65.2%

제2저자
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing6
Missing (%)20.0%
Memory size372.0 B
2023-12-12T22:25:45.398937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters72
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row정봉구
2nd row정호진
3rd row오경륜
4th row이일섭
5th row손태근
ValueCountFrequency (%)
류동영 2
 
8.3%
장재원 1
 
4.2%
김근택 1
 
4.2%
김대영 1
 
4.2%
최은호 1
 
4.2%
김광수 1
 
4.2%
이기주 1
 
4.2%
신현규 1
 
4.2%
임병균 1
 
4.2%
신근웅 1
 
4.2%
Other values (13) 13
54.2%
2023-12-12T22:25:45.738426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
8.3%
근 3
 
4.2%
영 3
 
4.2%
동 3
 
4.2%
김 3
 
4.2%
류 2
 
2.8%
주 2
 
2.8%
신 2
 
2.8%
원 2
 
2.8%
은 2
 
2.8%
Other values (36) 44
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
8.3%
근 3
 
4.2%
영 3
 
4.2%
동 3
 
4.2%
김 3
 
4.2%
류 2
 
2.8%
주 2
 
2.8%
신 2
 
2.8%
원 2
 
2.8%
은 2
 
2.8%
Other values (36) 44
61.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
8.3%
근 3
 
4.2%
영 3
 
4.2%
동 3
 
4.2%
김 3
 
4.2%
류 2
 
2.8%
주 2
 
2.8%
신 2
 
2.8%
원 2
 
2.8%
은 2
 
2.8%
Other values (36) 44
61.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
8.3%
근 3
 
4.2%
영 3
 
4.2%
동 3
 
4.2%
김 3
 
4.2%
류 2
 
2.8%
주 2
 
2.8%
신 2
 
2.8%
원 2
 
2.8%
은 2
 
2.8%
Other values (36) 44
61.1%

제3저자
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing11
Missing (%)36.7%
Memory size372.0 B
2023-12-12T22:25:45.967314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters57
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row이창호
2nd row권세진
3rd row이장호
4th row장수영
5th row현대환
ValueCountFrequency (%)
이창호 1
 
5.3%
류동영 1
 
5.3%
최기혁 1
 
5.3%
서성호 1
 
5.3%
윤영하 1
 
5.3%
김철웅 1
 
5.3%
양승은 1
 
5.3%
양지모 1
 
5.3%
김대관 1
 
5.3%
최미진 1
 
5.3%
Other values (9) 9
47.4%
2023-12-12T22:25:46.301300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 4
 
7.0%
영 3
 
5.3%
호 3
 
5.3%
최 3
 
5.3%
이 2
 
3.5%
양 2
 
3.5%
대 2
 
3.5%
은 2
 
3.5%
수 2
 
3.5%
진 2
 
3.5%
Other values (31) 32
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 4
 
7.0%
영 3
 
5.3%
호 3
 
5.3%
최 3
 
5.3%
이 2
 
3.5%
양 2
 
3.5%
대 2
 
3.5%
은 2
 
3.5%
수 2
 
3.5%
진 2
 
3.5%
Other values (31) 32
56.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 4
 
7.0%
영 3
 
5.3%
호 3
 
5.3%
최 3
 
5.3%
이 2
 
3.5%
양 2
 
3.5%
대 2
 
3.5%
은 2
 
3.5%
수 2
 
3.5%
진 2
 
3.5%
Other values (31) 32
56.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 4
 
7.0%
영 3
 
5.3%
호 3
 
5.3%
최 3
 
5.3%
이 2
 
3.5%
양 2
 
3.5%
대 2
 
3.5%
은 2
 
3.5%
수 2
 
3.5%
진 2
 
3.5%
Other values (31) 32
56.1%

제4저자
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing15
Missing (%)50.0%
Memory size372.0 B
2023-12-12T22:25:46.508374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters45
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row정기훈
2nd row고대호
3rd row김민아
4th row선병찬
5th row최용태
ValueCountFrequency (%)
정기훈 1
 
6.7%
고대호 1
 
6.7%
김민아 1
 
6.7%
선병찬 1
 
6.7%
최용태 1
 
6.7%
이병석 1
 
6.7%
홍상휘 1
 
6.7%
이주희 1
 
6.7%
이상률 1
 
6.7%
권경진 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T22:25:46.850329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
11.1%
상 2
 
4.4%
기 2
 
4.4%
홍 2
 
4.4%
병 2
 
4.4%
근 1
 
2.2%
무 1
 
2.2%
오 1
 
2.2%
금 1
 
2.2%
구 1
 
2.2%
Other values (27) 27
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
11.1%
상 2
 
4.4%
기 2
 
4.4%
홍 2
 
4.4%
병 2
 
4.4%
근 1
 
2.2%
무 1
 
2.2%
오 1
 
2.2%
금 1
 
2.2%
구 1
 
2.2%
Other values (27) 27
60.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
11.1%
상 2
 
4.4%
기 2
 
4.4%
홍 2
 
4.4%
병 2
 
4.4%
근 1
 
2.2%
무 1
 
2.2%
오 1
 
2.2%
금 1
 
2.2%
구 1
 
2.2%
Other values (27) 27
60.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
11.1%
상 2
 
4.4%
기 2
 
4.4%
홍 2
 
4.4%
병 2
 
4.4%
근 1
 
2.2%
무 1
 
2.2%
오 1
 
2.2%
금 1
 
2.2%
구 1
 
2.2%
Other values (27) 27
60.0%

제5저자
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing22
Missing (%)73.3%
Memory size372.0 B
2023-12-12T22:25:47.052863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters24
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row이승훈
2nd row정대원
3rd row남기욱
4th row전승목
5th row조동현
ValueCountFrequency (%)
이승훈 1
12.5%
정대원 1
12.5%
남기욱 1
12.5%
전승목 1
12.5%
조동현 1
12.5%
천이진 1
12.5%
이준성 1
12.5%
이은성 1
12.5%
2023-12-12T22:25:47.372103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 4
16.7%
성 2
 
8.3%
승 2
 
8.3%
목 1
 
4.2%
준 1
 
4.2%
진 1
 
4.2%
천 1
 
4.2%
현 1
 
4.2%
동 1
 
4.2%
조 1
 
4.2%
Other values (9) 9
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
16.7%
성 2
 
8.3%
승 2
 
8.3%
목 1
 
4.2%
준 1
 
4.2%
진 1
 
4.2%
천 1
 
4.2%
현 1
 
4.2%
동 1
 
4.2%
조 1
 
4.2%
Other values (9) 9
37.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
16.7%
성 2
 
8.3%
승 2
 
8.3%
목 1
 
4.2%
준 1
 
4.2%
진 1
 
4.2%
천 1
 
4.2%
현 1
 
4.2%
동 1
 
4.2%
조 1
 
4.2%
Other values (9) 9
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 4
16.7%
성 2
 
8.3%
승 2
 
8.3%
목 1
 
4.2%
준 1
 
4.2%
진 1
 
4.2%
천 1
 
4.2%
현 1
 
4.2%
동 1
 
4.2%
조 1
 
4.2%
Other values (9) 9
37.5%

제6저자
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing27
Missing (%)90.0%
Memory size372.0 B
2023-12-12T22:25:47.530197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row구철회
2nd row최재동
3rd row임병직
ValueCountFrequency (%)
구철회 1
33.3%
최재동 1
33.3%
임병직 1
33.3%
2023-12-12T22:25:47.797480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1
11.1%
철 1
11.1%
회 1
11.1%
최 1
11.1%
재 1
11.1%
동 1
11.1%
임 1
11.1%
병 1
11.1%
직 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1
11.1%
철 1
11.1%
회 1
11.1%
최 1
11.1%
재 1
11.1%
동 1
11.1%
임 1
11.1%
병 1
11.1%
직 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1
11.1%
철 1
11.1%
회 1
11.1%
최 1
11.1%
재 1
11.1%
동 1
11.1%
임 1
11.1%
병 1
11.1%
직 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1
11.1%
철 1
11.1%
회 1
11.1%
최 1
11.1%
재 1
11.1%
동 1
11.1%
임 1
11.1%
병 1
11.1%
직 1
11.1%

제7저자
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
2023-12-12T22:25:47.943811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row오요한
2nd row임석희
ValueCountFrequency (%)
오요한 1
50.0%
임석희 1
50.0%
2023-12-12T22:25:48.213884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 1
16.7%
요 1
16.7%
한 1
16.7%
임 1
16.7%
석 1
16.7%
희 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 1
16.7%
요 1
16.7%
한 1
16.7%
임 1
16.7%
석 1
16.7%
희 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 1
16.7%
요 1
16.7%
한 1
16.7%
임 1
16.7%
석 1
16.7%
희 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 1
16.7%
요 1
16.7%
한 1
16.7%
임 1
16.7%
석 1
16.7%
희 1
16.7%

제8저자
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T22:25:48.331535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row임성혁
ValueCountFrequency (%)
임성혁 1
100.0%
2023-12-12T22:25:48.543969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 1
33.3%
성 1
33.3%
혁 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 1
33.3%
성 1
33.3%
혁 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 1
33.3%
성 1
33.3%
혁 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 1
33.3%
성 1
33.3%
혁 1
33.3%

제9저자
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T22:25:48.661721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row최상현
ValueCountFrequency (%)
최상현 1
100.0%
2023-12-12T22:25:48.889379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
최 1
33.3%
상 1
33.3%
현 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
최 1
33.3%
상 1
33.3%
현 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
최 1
33.3%
상 1
33.3%
현 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
최 1
33.3%
상 1
33.3%
현 1
33.3%

제10저자
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T22:25:48.993860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row박재성
ValueCountFrequency (%)
박재성 1
100.0%
2023-12-12T22:25:49.201218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 1
33.3%
재 1
33.3%
성 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 1
33.3%
재 1
33.3%
성 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 1
33.3%
재 1
33.3%
성 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 1
33.3%
재 1
33.3%
성 1
33.3%

국문키워드1
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:49.395329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.7333333
Min length2

Characters and Unicode

Total characters172
Distinct characters99
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st rowSLS 발사체
2nd row위성산업화
3rd row소형위성
4th row도심항공모빌리티
5th row드론
ValueCountFrequency (%)
인공위성 2
 
4.7%
레이더 1
 
2.3%
운용개념 1
 
2.3%
개인 1
 
2.3%
항공기 1
 
2.3%
큐브샛 1
 
2.3%
인간형 1
 
2.3%
로봇 1
 
2.3%
합성 1
 
2.3%
개구면 1
 
2.3%
Other values (32) 32
74.4%
2023-12-12T22:25:49.718636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
7.6%
성 9
 
5.2%
위 8
 
4.7%
인 5
 
2.9%
항 5
 
2.9%
공 5
 
2.9%
템 4
 
2.3%
로 4
 
2.3%
기 4
 
2.3%
스 4
 
2.3%
Other values (89) 111
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
89.5%
Space Separator 13
 
7.6%
Uppercase Letter 3
 
1.7%
Decimal Number 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 9
 
5.8%
위 8
 
5.2%
인 5
 
3.2%
항 5
 
3.2%
공 5
 
3.2%
템 4
 
2.6%
로 4
 
2.6%
기 4
 
2.6%
스 4
 
2.6%
시 4
 
2.6%
Other values (84) 102
66.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
L 1
33.3%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
89.5%
Common 15
 
8.7%
Latin 3
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 9
 
5.8%
위 8
 
5.2%
인 5
 
3.2%
항 5
 
3.2%
공 5
 
3.2%
템 4
 
2.6%
로 4
 
2.6%
기 4
 
2.6%
스 4
 
2.6%
시 4
 
2.6%
Other values (84) 102
66.2%
Common
ValueCountFrequency (%)
13
86.7%
9 1
 
6.7%
1 1
 
6.7%
Latin
ValueCountFrequency (%)
S 2
66.7%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
89.5%
ASCII 18
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
72.2%
S 2
 
11.1%
L 1
 
5.6%
9 1
 
5.6%
1 1
 
5.6%
Hangul
ValueCountFrequency (%)
성 9
 
5.8%
위 8
 
5.2%
인 5
 
3.2%
항 5
 
3.2%
공 5
 
3.2%
템 4
 
2.6%
로 4
 
2.6%
기 4
 
2.6%
스 4
 
2.6%
시 4
 
2.6%
Other values (84) 102
66.2%

국문키워드2
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:49.921355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.5666667
Min length2

Characters and Unicode

Total characters167
Distinct characters103
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row아르테미스 프로그램
2nd row기술감리
3rd row소형발사체
4th row전기식 수직이착륙기
5th row하이브리드 동력시스템
ValueCountFrequency (%)
한국형 2
 
5.3%
아르테미스 1
 
2.6%
통신 1
 
2.6%
항공산업 1
 
2.6%
원격조종항공기시스템 1
 
2.6%
글로벌우주탐사로드맵 1
 
2.6%
운용요구서 1
 
2.6%
분산 1
 
2.6%
전기추진 1
 
2.6%
로봇 1
 
2.6%
Other values (27) 27
71.1%
2023-12-12T22:25:50.223145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
4.8%
로 7
 
4.2%
기 7
 
4.2%
형 4
 
2.4%
스 4
 
2.4%
드 3
 
1.8%
시 3
 
1.8%
성 3
 
1.8%
항 3
 
1.8%
템 3
 
1.8%
Other values (93) 122
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
92.8%
Space Separator 8
 
4.8%
Uppercase Letter 4
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 7
 
4.5%
기 7
 
4.5%
형 4
 
2.6%
스 4
 
2.6%
드 3
 
1.9%
시 3
 
1.9%
성 3
 
1.9%
항 3
 
1.9%
템 3
 
1.9%
전 3
 
1.9%
Other values (89) 115
74.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
92.8%
Common 8
 
4.8%
Latin 4
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 7
 
4.5%
기 7
 
4.5%
형 4
 
2.6%
스 4
 
2.6%
드 3
 
1.9%
시 3
 
1.9%
성 3
 
1.9%
항 3
 
1.9%
템 3
 
1.9%
전 3
 
1.9%
Other values (89) 115
74.2%
Latin
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
A 1
25.0%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
92.8%
ASCII 12
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
66.7%
S 2
 
16.7%
B 1
 
8.3%
A 1
 
8.3%
Hangul
ValueCountFrequency (%)
로 7
 
4.5%
기 7
 
4.5%
형 4
 
2.6%
스 4
 
2.6%
드 3
 
1.9%
시 3
 
1.9%
성 3
 
1.9%
항 3
 
1.9%
템 3
 
1.9%
전 3
 
1.9%
Other values (89) 115
74.2%

국문키워드3
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:50.476965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.9666667
Min length2

Characters and Unicode

Total characters179
Distinct characters110
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row콘스텔레이션 프로그램
2nd row차세대중형위성
3rd row전문가 설문
4th row도심항공교통관리
5th row엔진
ValueCountFrequency (%)
달 2
 
4.8%
콘스텔레이션 1
 
2.4%
우주 1
 
2.4%
원격조종항공기 1
 
2.4%
탐사 1
 
2.4%
시스템엔지니어링관리계획서 1
 
2.4%
계측 1
 
2.4%
제어기 1
 
2.4%
통신망 1
 
2.4%
안테나 1
 
2.4%
Other values (31) 31
73.8%
2023-12-12T22:25:50.877335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.7%
통 4
 
2.2%
기 4
 
2.2%
레 4
 
2.2%
S 4
 
2.2%
달 3
 
1.7%
형 3
 
1.7%
항 3
 
1.7%
전 3
 
1.7%
관 3
 
1.7%
Other values (100) 136
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
88.8%
Space Separator 12
 
6.7%
Uppercase Letter 8
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
통 4
 
2.5%
기 4
 
2.5%
레 4
 
2.5%
달 3
 
1.9%
형 3
 
1.9%
항 3
 
1.9%
전 3
 
1.9%
관 3
 
1.9%
리 3
 
1.9%
선 3
 
1.9%
Other values (95) 126
79.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
50.0%
A 2
25.0%
K 1
 
12.5%
B 1
 
12.5%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
88.8%
Common 12
 
6.7%
Latin 8
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
통 4
 
2.5%
기 4
 
2.5%
레 4
 
2.5%
달 3
 
1.9%
형 3
 
1.9%
항 3
 
1.9%
전 3
 
1.9%
관 3
 
1.9%
리 3
 
1.9%
선 3
 
1.9%
Other values (95) 126
79.2%
Latin
ValueCountFrequency (%)
S 4
50.0%
A 2
25.0%
K 1
 
12.5%
B 1
 
12.5%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
88.8%
ASCII 20
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
60.0%
S 4
 
20.0%
A 2
 
10.0%
K 1
 
5.0%
B 1
 
5.0%
Hangul
ValueCountFrequency (%)
통 4
 
2.5%
기 4
 
2.5%
레 4
 
2.5%
달 3
 
1.9%
형 3
 
1.9%
항 3
 
1.9%
전 3
 
1.9%
관 3
 
1.9%
리 3
 
1.9%
선 3
 
1.9%
Other values (95) 126
79.2%

국문키워드4
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing8
Missing (%)26.7%
Memory size372.0 B
2023-12-12T22:25:51.119602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length7.0454545
Min length3

Characters and Unicode

Total characters155
Distinct characters104
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row오리온 유인 모듈
2nd row체계종합
3rd row우주수송산업
4th row발전기
5th row파레토 최적해
ValueCountFrequency (%)
달 2
 
5.0%
빔 1
 
2.5%
분석 1
 
2.5%
추출 1
 
2.5%
및 1
 
2.5%
할당 1
 
2.5%
심우주탐사 1
 
2.5%
국제우주정거장 1
 
2.5%
디지털 1
 
2.5%
형성 1
 
2.5%
Other values (29) 29
72.5%
2023-12-12T22:25:51.497885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
11.6%
이 5
 
3.2%
S 4
 
2.6%
정 3
 
1.9%
터 3
 
1.9%
우 3
 
1.9%
주 3
 
1.9%
달 2
 
1.3%
표 2
 
1.3%
신 2
 
1.3%
Other values (94) 110
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
81.9%
Space Separator 18
 
11.6%
Uppercase Letter 9
 
5.8%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
3.9%
정 3
 
2.4%
터 3
 
2.4%
우 3
 
2.4%
주 3
 
2.4%
달 2
 
1.6%
표 2
 
1.6%
신 2
 
1.6%
성 2
 
1.6%
국 2
 
1.6%
Other values (88) 100
78.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
44.4%
B 2
22.2%
A 2
22.2%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
18
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
81.9%
Common 19
 
12.3%
Latin 9
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
3.9%
정 3
 
2.4%
터 3
 
2.4%
우 3
 
2.4%
주 3
 
2.4%
달 2
 
1.6%
표 2
 
1.6%
신 2
 
1.6%
성 2
 
1.6%
국 2
 
1.6%
Other values (88) 100
78.7%
Latin
ValueCountFrequency (%)
S 4
44.4%
B 2
22.2%
A 2
22.2%
K 1
 
11.1%
Common
ValueCountFrequency (%)
18
94.7%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
81.9%
ASCII 28
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
64.3%
S 4
 
14.3%
B 2
 
7.1%
A 2
 
7.1%
K 1
 
3.6%
2 1
 
3.6%
Hangul
ValueCountFrequency (%)
이 5
 
3.9%
정 3
 
2.4%
터 3
 
2.4%
우 3
 
2.4%
주 3
 
2.4%
달 2
 
1.6%
표 2
 
1.6%
신 2
 
1.6%
성 2
 
1.6%
국 2
 
1.6%
Other values (88) 100
78.7%

국문키워드5
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing16
Missing (%)53.3%
Memory size372.0 B
2023-12-12T22:25:52.004101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length5.4285714
Min length3

Characters and Unicode

Total characters76
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row발사체
2nd row제작/조립/시험
3rd row배터리
4th row광통신
5th row정지궤도환경탑재체
ValueCountFrequency (%)
발사체 1
 
5.6%
제작/조립/시험 1
 
5.6%
기상발사기준 1
 
5.6%
멀티스태틱 1
 
5.6%
행성탐사 1
 
5.6%
기술동향 1
 
5.6%
인증기준 1
 
5.6%
고도계 1
 
5.6%
레이저 1
 
5.6%
궤도 1
 
5.6%
Other values (8) 8
44.4%
2023-12-12T22:25:52.352572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
5.3%
기 4
 
5.3%
발 3
 
3.9%
사 3
 
3.9%
도 3
 
3.9%
작 2
 
2.6%
/ 2
 
2.6%
상 2
 
2.6%
시 2
 
2.6%
계 2
 
2.6%
Other values (45) 49
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
92.1%
Space Separator 4
 
5.3%
Other Punctuation 2
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4
 
5.7%
발 3
 
4.3%
사 3
 
4.3%
도 3
 
4.3%
작 2
 
2.9%
상 2
 
2.9%
시 2
 
2.9%
계 2
 
2.9%
체 2
 
2.9%
신 2
 
2.9%
Other values (43) 45
64.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
92.1%
Common 6
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4
 
5.7%
발 3
 
4.3%
사 3
 
4.3%
도 3
 
4.3%
작 2
 
2.9%
상 2
 
2.9%
시 2
 
2.9%
계 2
 
2.9%
체 2
 
2.9%
신 2
 
2.9%
Other values (43) 45
64.3%
Common
ValueCountFrequency (%)
4
66.7%
/ 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
92.1%
ASCII 6
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
66.7%
/ 2
33.3%
Hangul
ValueCountFrequency (%)
기 4
 
5.7%
발 3
 
4.3%
사 3
 
4.3%
도 3
 
4.3%
작 2
 
2.9%
상 2
 
2.9%
시 2
 
2.9%
계 2
 
2.9%
체 2
 
2.9%
신 2
 
2.9%
Other values (43) 45
64.3%

국문키워드6
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Memory size372.0 B
2023-12-12T22:25:52.545053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.7142857
Min length2

Characters and Unicode

Total characters40
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

Unique7 ?
Unique (%)100.0%

Sample

1st row개발 동향
2nd row제어기
3rd row템포
4th row빠른 회복
5th row달 정찰 궤도 카메라
ValueCountFrequency (%)
개발 1
 
7.7%
동향 1
 
7.7%
제어기 1
 
7.7%
템포 1
 
7.7%
빠른 1
 
7.7%
회복 1
 
7.7%
달 1
 
7.7%
정찰 1
 
7.7%
궤도 1
 
7.7%
카메라 1
 
7.7%
Other values (3) 3
23.1%
2023-12-12T22:25:52.902427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
17.5%
신 2
 
5.0%
중 2
 
5.0%
다 2
 
5.0%
기 2
 
5.0%
개 1
 
2.5%
찰 1
 
2.5%
송 1
 
2.5%
준 1
 
2.5%
항 1
 
2.5%
Other values (20) 20
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
82.5%
Space Separator 7
 
17.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 2
 
6.1%
중 2
 
6.1%
다 2
 
6.1%
기 2
 
6.1%
개 1
 
3.0%
찰 1
 
3.0%
송 1
 
3.0%
준 1
 
3.0%
항 1
 
3.0%
감 1
 
3.0%
Other values (19) 19
57.6%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
82.5%
Common 7
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 2
 
6.1%
중 2
 
6.1%
다 2
 
6.1%
기 2
 
6.1%
개 1
 
3.0%
찰 1
 
3.0%
송 1
 
3.0%
준 1
 
3.0%
항 1
 
3.0%
감 1
 
3.0%
Other values (19) 19
57.6%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
82.5%
ASCII 7
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
100.0%
Hangul
ValueCountFrequency (%)
신 2
 
6.1%
중 2
 
6.1%
다 2
 
6.1%
기 2
 
6.1%
개 1
 
3.0%
찰 1
 
3.0%
송 1
 
3.0%
준 1
 
3.0%
항 1
 
3.0%
감 1
 
3.0%
Other values (19) 19
57.6%

국문키워드7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T22:25:53.041698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
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

Unique1 ?
Unique (%)100.0%

Sample

1st row단층 촬영
ValueCountFrequency (%)
단층 1
50.0%
촬영 1
50.0%
2023-12-12T22:25:53.310526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 1
20.0%
층 1
20.0%
1
20.0%
촬 1
20.0%
영 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 1
25.0%
층 1
25.0%
촬 1
25.0%
영 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 1
25.0%
층 1
25.0%
촬 1
25.0%
영 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 1
25.0%
층 1
25.0%
촬 1
25.0%
영 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

영문키워드1
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:53.520128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23.5
Mean length15.166667
Min length3

Characters and Unicode

Total characters455
Distinct characters50
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st rowSpace Launch System
2nd rowindustrialization of satellite projects
3rd rowSmallsat
4th rowUrban Air Mobility(UAM)
5th rowDrone
ValueCountFrequency (%)
satellite 3
 
5.3%
system 3
 
5.3%
space 1
 
1.8%
unmanned 1
 
1.8%
aircraft 1
 
1.8%
isecg 1
 
1.8%
operational 1
 
1.8%
concept 1
 
1.8%
personal 1
 
1.8%
aerial 1
 
1.8%
Other values (43) 43
75.4%
2023-12-12T22:25:53.864355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 40
 
8.8%
e 38
 
8.4%
a 36
 
7.9%
i 35
 
7.7%
o 32
 
7.0%
l 28
 
6.2%
n 28
 
6.2%
27
 
5.9%
r 25
 
5.5%
S 16
 
3.5%
Other values (40) 150
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 352
77.4%
Uppercase Letter 70
 
15.4%
Space Separator 27
 
5.9%
Dash Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 40
11.4%
e 38
10.8%
a 36
10.2%
i 35
9.9%
o 32
9.1%
l 28
8.0%
n 28
8.0%
r 25
 
7.1%
s 14
 
4.0%
c 11
 
3.1%
Other values (14) 65
18.5%
Uppercase Letter
ValueCountFrequency (%)
S 16
22.9%
C 7
10.0%
A 6
 
8.6%
O 4
 
5.7%
G 4
 
5.7%
E 4
 
5.7%
P 4
 
5.7%
M 3
 
4.3%
D 3
 
4.3%
L 3
 
4.3%
Other values (10) 16
22.9%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
9 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 422
92.7%
Common 33
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 40
 
9.5%
e 38
 
9.0%
a 36
 
8.5%
i 35
 
8.3%
o 32
 
7.6%
l 28
 
6.6%
n 28
 
6.6%
r 25
 
5.9%
S 16
 
3.8%
s 14
 
3.3%
Other values (34) 130
30.8%
Common
ValueCountFrequency (%)
27
81.8%
- 2
 
6.1%
) 1
 
3.0%
( 1
 
3.0%
1 1
 
3.0%
9 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 40
 
8.8%
e 38
 
8.4%
a 36
 
7.9%
i 35
 
7.7%
o 32
 
7.0%
l 28
 
6.2%
n 28
 
6.2%
27
 
5.9%
r 25
 
5.5%
S 16
 
3.5%
Other values (40) 150
33.0%

영문키워드2
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:54.103021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length18
Mean length13.866667
Min length3

Characters and Unicode

Total characters416
Distinct characters44
Distinct categories6 ?
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 (%)100.0%

Sample

1st rowArtemis
2nd rowTechnical supervision
3rd rowSmall-lift Launcher
4th rowelectric Vertical Take-Off and Landing(eVTOL)
5th rowHybrid Power System
ValueCountFrequency (%)
electric 2
 
3.7%
satellite 2
 
3.7%
artemis 1
 
1.9%
distributed 1
 
1.9%
lunar 1
 
1.9%
landing 1
 
1.9%
sbas 1
 
1.9%
imagery 1
 
1.9%
aircraft 1
 
1.9%
industry 1
 
1.9%
Other values (42) 42
77.8%
2023-12-12T22:25:54.434058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 31
 
7.5%
e 30
 
7.2%
n 29
 
7.0%
a 28
 
6.7%
r 27
 
6.5%
t 27
 
6.5%
l 26
 
6.2%
o 26
 
6.2%
24
 
5.8%
c 14
 
3.4%
Other values (34) 154
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 323
77.6%
Uppercase Letter 65
 
15.6%
Space Separator 24
 
5.8%
Dash Punctuation 2
 
0.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 31
9.6%
e 30
9.3%
n 29
9.0%
a 28
 
8.7%
r 27
 
8.4%
t 27
 
8.4%
l 26
 
8.0%
o 26
 
8.0%
c 14
 
4.3%
m 13
 
4.0%
Other values (12) 72
22.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
15.4%
R 7
10.8%
P 7
10.8%
L 6
9.2%
A 6
9.2%
C 5
7.7%
O 4
 
6.2%
T 4
 
6.2%
D 3
 
4.6%
E 3
 
4.6%
Other values (8) 10
15.4%
Space Separator
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 388
93.3%
Common 28
 
6.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 31
 
8.0%
e 30
 
7.7%
n 29
 
7.5%
a 28
 
7.2%
r 27
 
7.0%
t 27
 
7.0%
l 26
 
6.7%
o 26
 
6.7%
c 14
 
3.6%
m 13
 
3.4%
Other values (30) 137
35.3%
Common
ValueCountFrequency (%)
24
85.7%
- 2
 
7.1%
) 1
 
3.6%
( 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 31
 
7.5%
e 30
 
7.2%
n 29
 
7.0%
a 28
 
6.7%
r 27
 
6.5%
t 27
 
6.5%
l 26
 
6.2%
o 26
 
6.2%
24
 
5.8%
c 14
 
3.4%
Other values (34) 154
37.0%

영문키워드3
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T22:25:54.654569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length14.466667
Min length3

Characters and Unicode

Total characters434
Distinct characters44
Distinct categories4 ?
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 (%)100.0%

Sample

1st rowConstellation
2nd rowCompact Advanced Satellite
3rd rowExpert Survey
4th rowUrban Air Traffic Management
5th rowEngine
ValueCountFrequency (%)
satellite 3
 
5.1%
lunar 3
 
5.1%
launch 2
 
3.4%
space 2
 
3.4%
constellation 1
 
1.7%
resolution 1
 
1.7%
rpa 1
 
1.7%
exploration 1
 
1.7%
semp 1
 
1.7%
controller 1
 
1.7%
Other values (43) 43
72.9%
2023-12-12T22:25:55.005399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 48
 
11.1%
a 36
 
8.3%
n 32
 
7.4%
t 31
 
7.1%
r 30
 
6.9%
29
 
6.7%
l 25
 
5.8%
o 22
 
5.1%
i 21
 
4.8%
S 16
 
3.7%
Other values (34) 144
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 329
75.8%
Uppercase Letter 75
 
17.3%
Space Separator 29
 
6.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 48
14.6%
a 36
10.9%
n 32
9.7%
t 31
9.4%
r 30
9.1%
l 25
7.6%
o 22
 
6.7%
i 21
 
6.4%
c 16
 
4.9%
p 10
 
3.0%
Other values (13) 58
17.6%
Uppercase Letter
ValueCountFrequency (%)
S 16
21.3%
C 8
10.7%
A 7
9.3%
L 6
 
8.0%
E 5
 
6.7%
P 4
 
5.3%
T 4
 
5.3%
I 4
 
5.3%
M 3
 
4.0%
V 3
 
4.0%
Other values (9) 15
20.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 404
93.1%
Common 30
 
6.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 48
 
11.9%
a 36
 
8.9%
n 32
 
7.9%
t 31
 
7.7%
r 30
 
7.4%
l 25
 
6.2%
o 22
 
5.4%
i 21
 
5.2%
S 16
 
4.0%
c 16
 
4.0%
Other values (32) 127
31.4%
Common
ValueCountFrequency (%)
29
96.7%
- 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 434
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 48
 
11.1%
a 36
 
8.3%
n 32
 
7.4%
t 31
 
7.1%
r 30
 
6.9%
29
 
6.7%
l 25
 
5.8%
o 22
 
5.1%
i 21
 
4.8%
S 16
 
3.7%
Other values (34) 144
33.2%

영문키워드4
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing4
Missing (%)13.3%
Memory size372.0 B
2023-12-12T22:25:55.226231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length27
Mean length17.769231
Min length3

Characters and Unicode

Total characters462
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st rowOrion
2nd rowSystem Engineering and Integration
3rd rowSpace Transportation Industry
4th rowGenerator
5th rowPareto Optimal Solution
ValueCountFrequency (%)
and 3
 
5.1%
kass 2
 
3.4%
space 2
 
3.4%
network 2
 
3.4%
communication 2
 
3.4%
analysis 2
 
3.4%
exploration 2
 
3.4%
attraction 1
 
1.7%
policy 1
 
1.7%
orion 1
 
1.7%
Other values (41) 41
69.5%
2023-12-12T22:25:55.595473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 41
 
8.9%
a 39
 
8.4%
o 36
 
7.8%
i 33
 
7.1%
33
 
7.1%
t 30
 
6.5%
e 29
 
6.3%
r 29
 
6.3%
S 15
 
3.2%
l 14
 
3.0%
Other values (39) 163
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 351
76.0%
Uppercase Letter 72
 
15.6%
Space Separator 33
 
7.1%
Decimal Number 4
 
0.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 41
11.7%
a 39
11.1%
o 36
10.3%
i 33
9.4%
t 30
8.5%
e 29
 
8.3%
r 29
 
8.3%
l 14
 
4.0%
m 13
 
3.7%
p 13
 
3.7%
Other values (16) 74
21.1%
Uppercase Letter
ValueCountFrequency (%)
S 15
20.8%
D 7
9.7%
A 7
9.7%
I 5
 
6.9%
C 5
 
6.9%
R 4
 
5.6%
L 4
 
5.6%
P 4
 
5.6%
K 3
 
4.2%
N 3
 
4.2%
Other values (7) 15
20.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
8 1
25.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 423
91.6%
Common 39
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 41
 
9.7%
a 39
 
9.2%
o 36
 
8.5%
i 33
 
7.8%
t 30
 
7.1%
e 29
 
6.9%
r 29
 
6.9%
S 15
 
3.5%
l 14
 
3.3%
m 13
 
3.1%
Other values (33) 144
34.0%
Common
ValueCountFrequency (%)
33
84.6%
2 2
 
5.1%
5 1
 
2.6%
8 1
 
2.6%
( 1
 
2.6%
) 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 41
 
8.9%
a 39
 
8.4%
o 36
 
7.8%
i 33
 
7.1%
33
 
7.1%
t 30
 
6.5%
e 29
 
6.3%
r 29
 
6.3%
S 15
 
3.2%
l 14
 
3.0%
Other values (39) 163
35.3%

영문키워드5
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing13
Missing (%)43.3%
Memory size372.0 B
2023-12-12T22:25:55.819783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length16
Mean length15.176471
Min length3

Characters and Unicode

Total characters258
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowLaunch Vehicle
2nd rowManufacturing/Integration/Test
3rd rowBattery
4th rowOptical Communication
5th rowSBIRS(Space-based Intrared System)
ValueCountFrequency (%)
launch 2
 
6.7%
generator 1
 
3.3%
lola 1
 
3.3%
shefex 1
 
3.3%
criteria 1
 
3.3%
commit 1
 
3.3%
weather 1
 
3.3%
multistatic 1
 
3.3%
exploration 1
 
3.3%
planetary 1
 
3.3%
Other values (19) 19
63.3%
2023-12-12T22:25:56.218451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 24
 
9.3%
a 23
 
8.9%
e 20
 
7.8%
i 17
 
6.6%
n 16
 
6.2%
r 15
 
5.8%
13
 
5.0%
c 12
 
4.7%
o 12
 
4.7%
S 10
 
3.9%
Other values (36) 96
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 191
74.0%
Uppercase Letter 49
 
19.0%
Space Separator 13
 
5.0%
Other Punctuation 2
 
0.8%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 24
12.6%
a 23
12.0%
e 20
10.5%
i 17
8.9%
n 16
8.4%
r 15
 
7.9%
c 12
 
6.3%
o 12
 
6.3%
l 8
 
4.2%
u 6
 
3.1%
Other values (12) 38
19.9%
Uppercase Letter
ValueCountFrequency (%)
S 10
20.4%
C 5
10.2%
E 4
 
8.2%
L 4
 
8.2%
T 3
 
6.1%
I 3
 
6.1%
B 3
 
6.1%
M 3
 
6.1%
R 2
 
4.1%
O 2
 
4.1%
Other values (9) 10
20.4%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 240
93.0%
Common 18
 
7.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 24
 
10.0%
a 23
 
9.6%
e 20
 
8.3%
i 17
 
7.1%
n 16
 
6.7%
r 15
 
6.2%
c 12
 
5.0%
o 12
 
5.0%
S 10
 
4.2%
l 8
 
3.3%
Other values (31) 83
34.6%
Common
ValueCountFrequency (%)
13
72.2%
/ 2
 
11.1%
( 1
 
5.6%
) 1
 
5.6%
- 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 24
 
9.3%
a 23
 
8.9%
e 20
 
7.8%
i 17
 
6.6%
n 16
 
6.2%
r 15
 
5.8%
13
 
5.0%
c 12
 
4.7%
o 12
 
4.7%
S 10
 
3.9%
Other values (36) 96
37.2%

영문키워드6
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Memory size372.0 B
2023-12-12T22:25:56.424007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length12.142857
Min length4

Characters and Unicode

Total characters85
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowDevelopment Status
2nd rowPower Management Unit
3rd rowTEMPO
4th rowFast Recove
5th rowLROC
ValueCountFrequency (%)
development 1
8.3%
status 1
8.3%
power 1
8.3%
management 1
8.3%
unit 1
8.3%
tempo 1
8.3%
fast 1
8.3%
recove 1
8.3%
lroc 1
8.3%
airworthiness 1
8.3%
Other values (2) 2
16.7%
2023-12-12T22:25:56.777470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 9
 
10.6%
t 8
 
9.4%
a 6
 
7.1%
n 6
 
7.1%
5
 
5.9%
r 4
 
4.7%
M 4
 
4.7%
o 4
 
4.7%
s 4
 
4.7%
i 3
 
3.5%
Other values (23) 32
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 58
68.2%
Uppercase Letter 22
 
25.9%
Space Separator 5
 
5.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9
15.5%
t 8
13.8%
a 6
10.3%
n 6
10.3%
r 4
 
6.9%
o 4
 
6.9%
s 4
 
6.9%
i 3
 
5.2%
m 2
 
3.4%
w 2
 
3.4%
Other values (8) 10
17.2%
Uppercase Letter
ValueCountFrequency (%)
M 4
18.2%
O 3
13.6%
S 2
9.1%
P 2
9.1%
R 2
9.1%
F 1
 
4.5%
C 1
 
4.5%
L 1
 
4.5%
A 1
 
4.5%
D 1
 
4.5%
Other values (4) 4
18.2%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 80
94.1%
Common 5
 
5.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9
 
11.2%
t 8
 
10.0%
a 6
 
7.5%
n 6
 
7.5%
r 4
 
5.0%
M 4
 
5.0%
o 4
 
5.0%
s 4
 
5.0%
i 3
 
3.8%
O 3
 
3.8%
Other values (22) 29
36.2%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 9
 
10.6%
t 8
 
9.4%
a 6
 
7.1%
n 6
 
7.1%
5
 
5.9%
r 4
 
4.7%
M 4
 
4.7%
o 4
 
4.7%
s 4
 
4.7%
i 3
 
3.5%
Other values (23) 32
37.6%

영문키워드7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T22:25:56.934877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters9
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowTomography
ValueCountFrequency (%)
tomography 1
100.0%
2023-12-12T22:25:57.184123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2
20.0%
T 1
10.0%
m 1
10.0%
g 1
10.0%
r 1
10.0%
a 1
10.0%
p 1
10.0%
h 1
10.0%
y 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9
90.0%
Uppercase Letter 1
 
10.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
m 1
11.1%
g 1
11.1%
r 1
11.1%
a 1
11.1%
p 1
11.1%
h 1
11.1%
y 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2
20.0%
T 1
10.0%
m 1
10.0%
g 1
10.0%
r 1
10.0%
a 1
10.0%
p 1
10.0%
h 1
10.0%
y 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2
20.0%
T 1
10.0%
m 1
10.0%
g 1
10.0%
r 1
10.0%
a 1
10.0%
p 1
10.0%
h 1
10.0%
y 1
10.0%

Sample

발간일자권호동향 구분제목(국문)제목(영문)제1저자제2저자제3저자제4저자제5저자제6저자제7저자제8저자제9저자제10저자국문키워드1국문키워드2국문키워드3국문키워드4국문키워드5국문키워드6국문키워드7영문키워드1영문키워드2영문키워드3영문키워드4영문키워드5영문키워드6영문키워드7
02020-07-01181산업 정책미국항공우주국 SLS 발사체 개발 동향NASA’s Space Launch System Development Status박창수<NA><NA><NA><NA><NA><NA><NA><NA><NA>SLS 발사체아르테미스 프로그램콘스텔레이션 프로그램오리온 유인 모듈발사체개발 동향<NA>Space Launch SystemArtemisConstellationOrionLaunch VehicleDevelopment Status<NA>
12020-07-01181산업 정책대한민국 위성산업화를 위한 기술감리 수행방안 및 국외동향Technical Supervision Implementation Plan for Space Industrialization of Korea and Foreign Trends한동인정봉구이창호<NA><NA><NA><NA><NA><NA><NA>위성산업화기술감리차세대중형위성체계종합제작/조립/시험<NA><NA>industrialization of satellite projectsTechnical supervisionCompact Advanced SatelliteSystem Engineering and IntegrationManufacturing/Integration/Test<NA><NA>
22020-07-01181산업 정책소형위성 발사수요와 국내 우주수송산업 현황에 관한 조사A Survey on Smallsat Launch Demand and Domestic Space Transportation Industry황신희정호진권세진<NA><NA><NA><NA><NA><NA><NA>소형위성소형발사체전문가 설문우주수송산업<NA><NA><NA>SmallsatSmall-lift LauncherExpert SurveySpace Transportation Industry<NA><NA><NA>
32020-07-01181산업 정책도심 항공 모빌리티 산업 동향Urban Air Mobility Trend전용민오경륜이장호정기훈<NA><NA><NA><NA><NA><NA>도심항공모빌리티전기식 수직이착륙기도심항공교통관리<NA><NA><NA><NA>Urban Air Mobility(UAM)electric Vertical Take-Off and Landing(eVTOL)Urban Air Traffic Management<NA><NA><NA><NA>
42020-07-01181기술드론용 하이브리드 동력시스템 설계 특성 및 개발 동향Overview of Development and Design Characteristics of Hybrid Power System for Drone김근배<NA><NA><NA><NA><NA><NA><NA><NA><NA>드론하이브리드 동력시스템엔진발전기배터리제어기<NA>DroneHybrid Power SystemEngineGeneratorBatteryPower Management Unit<NA>
52020-07-01181기술무인기의 다기준 최적화 경로계획 연구동향Research Trends of Multi-objective Optimal Path Planning for UAVs오수훈<NA><NA><NA><NA><NA><NA><NA><NA><NA>다기준 최적화경로계획무인기파레토 최적해<NA><NA><NA>Multi-Objective OptimizationPath PlanningUAVPareto Optimal Solution<NA><NA><NA>
62020-07-01181기술정지궤도 자료중계위성과 광통신탑재체 동향The Trends of Geostationary Data Relay Satellites and Optical Communication Payloads김정아<NA><NA><NA><NA><NA><NA><NA><NA><NA>정지궤도 자료중계위성광통신탑재체레이저통신레이저통신터미널광통신<NA><NA>Geostationary Data Relay SatellitesOptical Communication PayloadsLaser CommunicationLaser Communication TerminalOptical Communication<NA><NA>
72020-07-01181기술조기경보위성의 개발 동향Development Trend of Early Warning Satellite명환춘<NA><NA><NA><NA><NA><NA><NA><NA><NA>인공위성조기경보적외선<NA><NA><NA><NA>SatelliteEarly WarningInfraredDSP(Defense Support Program)SBIRS(Space-based Intrared System)<NA><NA>
82020-07-01181기술정지궤도환경탑재체 개발 및 초기기능시험GEMS Developments and its Initial Activation and Check Activities서석배이일섭장수영고대호이승훈<NA><NA><NA><NA><NA>환경오염대기질초분광기천리안2B위성정지궤도환경탑재체템포<NA>Environmental PollutionAir QualitySpectrometerGK2BGEMSTEMPO<NA>
92020-07-01181기술TCP 흐름 제어 기술 동향Technology Trends of TCP Flow Control백현철손태근현대환김민아정대원<NA><NA><NA><NA><NA>흐름제어혼잡제어혼잡붕괴혼잡회피느린 시작빠른 회복<NA>Flow ControlCongestion ControlCongestion CollapseCongestion AvoidanceSlow StartFast Recove<NA>
발간일자권호동향 구분제목(국문)제목(영문)제1저자제2저자제3저자제4저자제5저자제6저자제7저자제8저자제9저자제10저자국문키워드1국문키워드2국문키워드3국문키워드4국문키워드5국문키워드6국문키워드7영문키워드1영문키워드2영문키워드3영문키워드4영문키워드5영문키워드6영문키워드7
202020-07-01182기술분산 전기추진 시스템을 위한 ARINC 825 분석ARINC 825 Analysis for Distributed Electric Propulsion System한동기장재원<NA><NA><NA><NA><NA><NA><NA><NA>개인 항공기분산 전기추진계측 제어기 통신망<NA><NA><NA><NA>Personal Aerial VehicleDistributed Electric PropulsionController Area NetworkARINC 825<NA><NA><NA>
212020-12-01182기술심 우주 탐사를 위한 큐브샛 안테나 기술 동향Technology Trend of CubeSat Antenna for Deep Space Exploration박재익이동헌김대관이상률<NA><NA><NA><NA><NA><NA>큐브샛통신안테나심우주탐사기술동향<NA><NA>CubeSatCommunicationsAntennaDeep Space ExplorationTechnology Trend<NA><NA>
222020-07-01182기술우주용 휴머노이드 로봇 개발 현황Development Status of Space Humanoid Robot박응식신근웅양지모권경진<NA><NA><NA><NA><NA><NA>인간형 로봇로봇우주국제우주정거장행성탐사<NA><NA>HumanoidRobotSpaceISSPlanetary Exploration<NA><NA>
232020-12-01182기술최신 영상 레이더 위성 기술 및 개발 동향The Technology and Development Trends of Recent SAR Satellites원영진임병균<NA><NA><NA><NA><NA><NA><NA><NA>합성 개구면 레이더소형 위성고해상도 광역관측디지털 빔 형성멀티스태틱다중송신 다중수신단층 촬영Synthetic Aperture RadarSmall SatelliteHigh Resolution Wide SwathDigital BeamformingMultistaticMIMOTomography
242020-12-01182기술위성의 데이터 관리 및 운영을 위한 데이터베이스 포맷 개발 동향Trends in Development of Satellite Database Format to Process and Manage the Satellite Data이나영신현규양승은허윤구천이진최재동<NA><NA><NA><NA>인공위성원격명령어원격텔레메트리데이터베이스 포맷<NA><NA><NA>SatelliteTelecommandTelemetryDatabase format<NA><NA><NA>
252020-12-01182기술일본 고체연료 기반 소형발사체의 기술동향 및 시사점Technology Trends and Implications of Japanese Solid Fuel-based Small Launch Vehicle서대반이기주김철웅이금오이준성임병직임석희임성혁최상현박재성엡실론 로켓고체모터소형발사체<NA><NA><NA><NA>Epsilon rocketSolid motorSmall launch vehicle<NA><NA><NA><NA>
262020-12-01182기술발사체용 복합재 추진제탱크 국내외 개발 현황Current Status of Development of Composite Propellant Tanks for a Launch Vehicle이승윤김광수윤영하이무근<NA><NA><NA><NA><NA><NA>복합재극저온탱크추진제 탱크<NA><NA><NA><NA>CompositeCryotankPropellant Tank<NA><NA><NA><NA>
272020-12-01182기술기상발사기준 활용을 위한 수직측풍장비(윈드라이다) 기술 동향Technical Trend of Wind Lidar for Utilization of Weather Launch Commit Criteria김홍일최은호서성호서성규<NA><NA><NA><NA><NA><NA>윈드라이다윈드프로파일러연직단면도플러 라이다기상발사기준<NA><NA>Wind LidarWeather ProfilerVertical Cross SectionDoppler lidarWeather Launch Commit Criteria<NA><NA>
282020-12-01182기술재진입을 위한 미국 및 유럽의 재사용 열보호시스템Reuseable Thermal Protection System in U.S.A and Europe for Re-entry신재성김대영최기혁<NA><NA><NA><NA><NA><NA><NA>열보호시스템재진입우주왕복선<NA><NA><NA><NA>Thermal Protection SystemReentrySpace ShuttleIXVSHEFEX<NA><NA>
292020-12-01182기술APV-I 급 KASS 통합운영국 및 통신네트워크 설계 현황Design Status of KASS Control Station and Communication Network for APV-I Service손진관최철희최광식홍운기이은성<NA><NA><NA><NA><NA>위성 기반 보강 시스템한국형 SBASKASS 통합운영국KASS 통신네트워크상세설계<NA><NA>SBASKASSKASS KCSKASS communication NetworkCDR<NA><NA>