Overview

Dataset statistics

Number of variables4
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory33.4 B

Variable types

Categorical2
Text2

Dataset

Description한국국방연구원 도서관에서 보유중인 국내외 정기간행물 목록으로 국방군사분야관련 전문자료를 취급하는 주요 학술저널을 구독중
Author국방부
URLhttps://www.data.go.kr/data/15026977/fileData.do

Alerts

간기 is highly overall correlated with 분류High correlation
분류 is highly overall correlated with 간기High correlation
간행물명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:48:03.324641
Analysis finished2023-12-12 16:48:03.829023
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
국외 간행물
65 
국내 간행물
28 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국외 간행물
2nd row국외 간행물
3rd row국외 간행물
4th row국외 간행물
5th row국외 간행물

Common Values

ValueCountFrequency (%)
국외 간행물 65
69.9%
국내 간행물 28
30.1%

Length

2023-12-13T01:48:03.926353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:48:04.074643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
간행물 93
50.0%
국외 65
34.9%
국내 28
 
15.1%

간행물명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T01:48:04.456125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length19.451613
Min length1

Characters and Unicode

Total characters1809
Distinct characters158
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st rowAcademy of Management Journal
2nd rowAcademy of Management Review
3rd rowAdministration & Society
4th rowAir & Space Power Journal
5th rowAir International
ValueCountFrequency (%)
of 20
 
7.8%
journal 18
 
7.0%
management 9
 
3.5%
review 8
 
3.1%
7
 
2.7%
and 6
 
2.3%
international 6
 
2.3%
american 5
 
2.0%
security 4
 
1.6%
policy 4
 
1.6%
Other values (130) 169
66.0%
2023-12-13T01:48:05.104742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
 
10.7%
e 132
 
7.3%
n 128
 
7.1%
i 125
 
6.9%
a 119
 
6.6%
o 118
 
6.5%
t 85
 
4.7%
r 83
 
4.6%
c 80
 
4.4%
l 69
 
3.8%
Other values (148) 676
37.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1223
67.6%
Space Separator 194
 
10.7%
Uppercase Letter 187
 
10.3%
Other Letter 168
 
9.3%
Other Punctuation 13
 
0.7%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Decimal Number 5
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 7
 
4.2%
리 7
 
4.2%
월 6
 
3.6%
간 5
 
3.0%
국 5
 
3.0%
제 4
 
2.4%
보 4
 
2.4%
군 4
 
2.4%
日 4
 
2.4%
세 3
 
1.8%
Other values (89) 119
70.8%
Lowercase Letter
ValueCountFrequency (%)
e 132
10.8%
n 128
10.5%
i 125
10.2%
a 119
9.7%
o 118
9.6%
t 85
 
7.0%
r 83
 
6.8%
c 80
 
6.5%
l 69
 
5.6%
s 41
 
3.4%
Other values (15) 243
19.9%
Uppercase Letter
ValueCountFrequency (%)
S 25
13.4%
A 24
12.8%
P 21
11.2%
J 19
10.2%
C 16
8.6%
R 14
7.5%
M 13
7.0%
E 10
 
5.3%
I 8
 
4.3%
T 6
 
3.2%
Other values (10) 31
16.6%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
2 1
20.0%
4 1
20.0%
3 1
20.0%
7 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 7
53.8%
, 5
38.5%
/ 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 8
88.9%
】 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 8
88.9%
【 1
 
11.1%
Space Separator
ValueCountFrequency (%)
194
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1410
77.9%
Common 231
 
12.8%
Hangul 140
 
7.7%
Han 27
 
1.5%
Hiragana 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 7
 
5.0%
리 7
 
5.0%
월 6
 
4.3%
간 5
 
3.6%
국 5
 
3.6%
제 4
 
2.9%
보 4
 
2.9%
군 4
 
2.9%
세 3
 
2.1%
즈 3
 
2.1%
Other values (69) 92
65.7%
Latin
ValueCountFrequency (%)
e 132
 
9.4%
n 128
 
9.1%
i 125
 
8.9%
a 119
 
8.4%
o 118
 
8.4%
t 85
 
6.0%
r 83
 
5.9%
c 80
 
5.7%
l 69
 
4.9%
s 41
 
2.9%
Other values (35) 430
30.5%
Han
ValueCountFrequency (%)
日 4
14.8%
究 2
 
7.4%
硏 2
 
7.4%
月 2
 
7.4%
際 2
 
7.4%
國 2
 
7.4%
中 1
 
3.7%
題 1
 
3.7%
問 1
 
3.7%
政 1
 
3.7%
Other values (9) 9
33.3%
Common
ValueCountFrequency (%)
194
84.0%
) 8
 
3.5%
( 8
 
3.5%
& 7
 
3.0%
, 5
 
2.2%
1 1
 
0.4%
2 1
 
0.4%
/ 1
 
0.4%
4 1
 
0.4%
】 1
 
0.4%
Other values (4) 4
 
1.7%
Hiragana
ValueCountFrequency (%)
と 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1639
90.6%
Hangul 140
 
7.7%
CJK 27
 
1.5%
None 2
 
0.1%
Hiragana 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
 
11.8%
e 132
 
8.1%
n 128
 
7.8%
i 125
 
7.6%
a 119
 
7.3%
o 118
 
7.2%
t 85
 
5.2%
r 83
 
5.1%
c 80
 
4.9%
l 69
 
4.2%
Other values (47) 506
30.9%
Hangul
ValueCountFrequency (%)
사 7
 
5.0%
리 7
 
5.0%
월 6
 
4.3%
간 5
 
3.6%
국 5
 
3.6%
제 4
 
2.9%
보 4
 
2.9%
군 4
 
2.9%
세 3
 
2.1%
즈 3
 
2.1%
Other values (69) 92
65.7%
CJK
ValueCountFrequency (%)
日 4
14.8%
究 2
 
7.4%
硏 2
 
7.4%
月 2
 
7.4%
際 2
 
7.4%
國 2
 
7.4%
中 1
 
3.7%
題 1
 
3.7%
問 1
 
3.7%
政 1
 
3.7%
Other values (9) 9
33.3%
None
ValueCountFrequency (%)
】 1
50.0%
【 1
50.0%
Hiragana
ValueCountFrequency (%)
と 1
100.0%

출판사
Text

Distinct58
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T01:48:05.479120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length15.193548
Min length3

Characters and Unicode

Total characters1413
Distinct characters142
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

Unique46 ?
Unique (%)49.5%

Sample

1st rowAcademy of Management
2nd rowAcademy of Management
3rd rowSage Publications
4th rowAir Force Research Institute
5th rowKey Publishing Ltd
ValueCountFrequency (%)
18
 
8.4%
press 15
 
7.0%
university 13
 
6.1%
taylor 12
 
5.6%
francis 12
 
5.6%
sage 11
 
5.1%
publications 11
 
5.1%
of 7
 
3.3%
cambridge 6
 
2.8%
sons 5
 
2.3%
Other values (78) 104
48.6%
2023-12-13T01:48:05.985573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
8.9%
i 102
 
7.2%
s 79
 
5.6%
r 77
 
5.4%
e 76
 
5.4%
a 74
 
5.2%
n 73
 
5.2%
o 59
 
4.2%
t 43
 
3.0%
c 37
 
2.6%
Other values (132) 667
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 829
58.7%
Uppercase Letter 238
 
16.8%
Other Letter 195
 
13.8%
Space Separator 126
 
8.9%
Other Punctuation 23
 
1.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 10
 
5.1%
국 10
 
5.1%
회 8
 
4.1%
스 8
 
4.1%
한 8
 
4.1%
일 7
 
3.6%
디 5
 
2.6%
보 5
 
2.6%
인 4
 
2.1%
군 4
 
2.1%
Other values (81) 126
64.6%
Uppercase Letter
ValueCountFrequency (%)
P 33
13.9%
S 25
10.5%
T 20
 
8.4%
C 18
 
7.6%
F 17
 
7.1%
U 16
 
6.7%
I 15
 
6.3%
A 13
 
5.5%
O 11
 
4.6%
E 11
 
4.6%
Other values (13) 59
24.8%
Lowercase Letter
ValueCountFrequency (%)
i 102
12.3%
s 79
9.5%
r 77
9.3%
e 76
9.2%
a 74
8.9%
n 73
8.8%
o 59
 
7.1%
t 43
 
5.2%
c 37
 
4.5%
l 35
 
4.2%
Other values (12) 174
21.0%
Other Punctuation
ValueCountFrequency (%)
& 18
78.3%
. 4
 
17.4%
/ 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1067
75.5%
Hangul 195
 
13.8%
Common 151
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 10
 
5.1%
국 10
 
5.1%
회 8
 
4.1%
스 8
 
4.1%
한 8
 
4.1%
일 7
 
3.6%
디 5
 
2.6%
보 5
 
2.6%
인 4
 
2.1%
군 4
 
2.1%
Other values (81) 126
64.6%
Latin
ValueCountFrequency (%)
i 102
 
9.6%
s 79
 
7.4%
r 77
 
7.2%
e 76
 
7.1%
a 74
 
6.9%
n 73
 
6.8%
o 59
 
5.5%
t 43
 
4.0%
c 37
 
3.5%
l 35
 
3.3%
Other values (35) 412
38.6%
Common
ValueCountFrequency (%)
126
83.4%
& 18
 
11.9%
. 4
 
2.6%
/ 1
 
0.7%
2 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1218
86.2%
Hangul 195
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
 
10.3%
i 102
 
8.4%
s 79
 
6.5%
r 77
 
6.3%
e 76
 
6.2%
a 74
 
6.1%
n 73
 
6.0%
o 59
 
4.8%
t 43
 
3.5%
c 37
 
3.0%
Other values (41) 472
38.8%
Hangul
ValueCountFrequency (%)
사 10
 
5.1%
국 10
 
5.1%
회 8
 
4.1%
스 8
 
4.1%
한 8
 
4.1%
일 7
 
3.6%
디 5
 
2.6%
보 5
 
2.6%
인 4
 
2.1%
군 4
 
2.1%
Other values (81) 126
64.6%

간기
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
QR(4)
24 
월간
21 
BM(6)
15 
MO(12)
8 
IR(8)
4 
Other values (12)
21 

Length

Max length6
Median length5
Mean length4.2580645
Min length2

Unique

Unique6 ?
Unique (%)6.5%

Sample

1st rowBM(6)
2nd rowQR(4)
3rd rowIR(10)
4th rowQR(4)
5th rowMO(12)

Common Values

ValueCountFrequency (%)
QR(4) 24
25.8%
월간 21
22.6%
BM(6) 15
16.1%
MO(12) 8
 
8.6%
IR(8) 4
 
4.3%
SA(2) 3
 
3.2%
주간 3
 
3.2%
IR(5) 3
 
3.2%
IR(9) 2
 
2.2%
비정기 2
 
2.2%
Other values (7) 8
 
8.6%

Length

2023-12-13T01:48:06.201514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
qr(4 24
25.8%
월간 22
23.7%
bm(6 15
16.1%
mo(12 8
 
8.6%
ir(8 4
 
4.3%
sa(2 3
 
3.2%
주간 3
 
3.2%
ir(5 3
 
3.2%
ir(9 2
 
2.2%
비정기 2
 
2.2%
Other values (6) 7
 
7.5%

Correlations

2023-12-13T01:48:06.327759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류간행물명출판사간기
분류1.0001.0001.0001.000
간행물명1.0001.0001.0001.000
출판사1.0001.0001.0000.000
간기1.0001.0000.0001.000
2023-12-13T01:48:06.457257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
간기분류
간기1.0000.914
분류0.9141.000
2023-12-13T01:48:06.566317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류간기
분류1.0000.914
간기0.9141.000

Missing values

2023-12-13T01:48:03.688046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:48:03.779283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

분류간행물명출판사간기
0국외 간행물Academy of Management JournalAcademy of ManagementBM(6)
1국외 간행물Academy of Management ReviewAcademy of ManagementQR(4)
2국외 간행물Administration & SocietySage PublicationsIR(10)
3국외 간행물Air & Space Power JournalAir Force Research InstituteQR(4)
4국외 간행물Air InternationalKey Publishing LtdMO(12)
5국외 간행물American Economic Review 등 7종American Economic AssociationMO(12)
6국외 간행물American Journal of International LawCambridge University PressQR(4)
7국외 간행물American Journal of Political ScienceJohn Wiley & SonsQR(4)
8국외 간행물American Journal of SociologyUniversity of Chicago PressBM(6)
9국외 간행물American Review of Public AdministrationSage PublicationsIR(8)
분류간행물명출판사간기
83국내 간행물월간디자인디자인하우스월간
84국내 간행물월간조선조선뉴스프레스월간
85국내 간행물월간조세조세통람사월간
86국내 간행물월간중앙중앙일보플러스월간
87국내 간행물월간항공와스코월간
88국내 간행물인사관리한국인사관리협회월간
89국내 간행물종합물가정보 / 종합적산정보 (온라인)한국물가정보월간
90국내 간행물하버드비즈니스리뷰동아일보사월간
91국내 간행물한겨레 21한겨레신문사주간
92국내 간행물회계와 세무대한세무협회월간