Overview

Dataset statistics

Number of variables4
Number of observations698
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.6 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text3

Dataset

Description한국국방연구원 도서관에서 보유중인 해외전문자료 목록으로 영미권의 국방, 군사, 외교분야관련 전문자료를 수록한 정보입니다.
Author국방부
URLhttps://www.data.go.kr/data/15026976/fileData.do

Alerts

No has unique valuesUnique
서명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:57:57.495243
Analysis finished2023-12-12 16:57:58.052476
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

UNIQUE 

Distinct698
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.5
Minimum1
Maximum698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-12-13T01:57:58.137138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.85
Q1175.25
median349.5
Q3523.75
95-th percentile663.15
Maximum698
Range697
Interquartile range (IQR)348.5

Descriptive statistics

Standard deviation201.63953
Coefficient of variation (CV)0.57693714
Kurtosis-1.2
Mean349.5
Median Absolute Deviation (MAD)174.5
Skewness0
Sum243951
Variance40658.5
MonotonicityStrictly increasing
2023-12-13T01:57:58.314393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
470 1
 
0.1%
462 1
 
0.1%
463 1
 
0.1%
464 1
 
0.1%
465 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
Other values (688) 688
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%
694 1
0.1%
693 1
0.1%
692 1
0.1%
691 1
0.1%
690 1
0.1%
689 1
0.1%

서명
Text

UNIQUE 

Distinct698
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-13T01:57:58.608995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length104
Mean length60.743553
Min length4

Characters and Unicode

Total characters42399
Distinct characters77
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique698 ?
Unique (%)100.0%

Sample

1st rowA Better State of War: Surmounting the Ethical Cliff in Cyber Warfare
2nd rowA Brilliant Solution : Inventing the American Constitution
3rd rowA Constructed Peace: The Making of the European Settlement, 1945-1963
4th rowA New Foreign Policy : Beyond American Exceptionalism
5th rowA Persistent Fire: The Strategic Ethical Impact of World War Ⅰ on the Global Profession of Arms
ValueCountFrequency (%)
the 435
 
7.0%
and 386
 
6.2%
of 269
 
4.3%
205
 
3.3%
in 158
 
2.5%
a 88
 
1.4%
security 77
 
1.2%
war 74
 
1.2%
to 70
 
1.1%
military 67
 
1.1%
Other values (1700) 4372
70.5%
2023-12-13T01:57:59.153018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5517
 
13.0%
e 3542
 
8.4%
i 3049
 
7.2%
a 2942
 
6.9%
n 2904
 
6.8%
t 2611
 
6.2%
o 2542
 
6.0%
r 2268
 
5.3%
s 1708
 
4.0%
l 1422
 
3.4%
Other values (67) 13894
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31084
73.3%
Space Separator 5517
 
13.0%
Uppercase Letter 4396
 
10.4%
Other Punctuation 822
 
1.9%
Decimal Number 435
 
1.0%
Dash Punctuation 121
 
0.3%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Math Symbol 4
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3542
11.4%
i 3049
9.8%
a 2942
9.5%
n 2904
9.3%
t 2611
 
8.4%
o 2542
 
8.2%
r 2268
 
7.3%
s 1708
 
5.5%
l 1422
 
4.6%
c 1203
 
3.9%
Other values (16) 6893
22.2%
Uppercase Letter
ValueCountFrequency (%)
S 473
 
10.8%
C 412
 
9.4%
T 358
 
8.1%
P 357
 
8.1%
A 340
 
7.7%
R 229
 
5.2%
I 226
 
5.1%
M 225
 
5.1%
E 222
 
5.1%
D 211
 
4.8%
Other values (15) 1343
30.6%
Other Punctuation
ValueCountFrequency (%)
: 429
52.2%
, 235
28.6%
. 71
 
8.6%
' 61
 
7.4%
? 13
 
1.6%
/ 4
 
0.5%
＆ 4
 
0.5%
& 3
 
0.4%
! 1
 
0.1%
… 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 102
23.4%
2 94
21.6%
0 85
19.5%
9 56
12.9%
5 23
 
5.3%
4 21
 
4.8%
3 20
 
4.6%
8 17
 
3.9%
6 11
 
2.5%
7 6
 
1.4%
Space Separator
ValueCountFrequency (%)
5517
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35482
83.7%
Common 6917
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3542
 
10.0%
i 3049
 
8.6%
a 2942
 
8.3%
n 2904
 
8.2%
t 2611
 
7.4%
o 2542
 
7.2%
r 2268
 
6.4%
s 1708
 
4.8%
l 1422
 
4.0%
c 1203
 
3.4%
Other values (42) 11291
31.8%
Common
ValueCountFrequency (%)
5517
79.8%
: 429
 
6.2%
, 235
 
3.4%
- 121
 
1.7%
1 102
 
1.5%
2 94
 
1.4%
0 85
 
1.2%
. 71
 
1.0%
' 61
 
0.9%
9 56
 
0.8%
Other values (15) 146
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42392
> 99.9%
None 4
 
< 0.1%
Number Forms 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5517
 
13.0%
e 3542
 
8.4%
i 3049
 
7.2%
a 2942
 
6.9%
n 2904
 
6.9%
t 2611
 
6.2%
o 2542
 
6.0%
r 2268
 
5.4%
s 1708
 
4.0%
l 1422
 
3.4%
Other values (64) 13887
32.8%
None
ValueCountFrequency (%)
＆ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

저자
Text

Distinct667
Distinct (%)95.8%
Missing2
Missing (%)0.3%
Memory size5.6 KiB
2023-12-13T01:57:59.596848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length60
Mean length18.346264
Min length4

Characters and Unicode

Total characters12769
Distinct characters70
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique650 ?
Unique (%)93.4%

Sample

1st rowPope Jr, Billy E
2nd rowCarol Berkin
3rd rowMarc Trachtenberg
4th rowJeffrey D. Sachs
5th rowTimothy S. Mallard, Nathan H. White
ValueCountFrequency (%)
j 31
 
1.6%
a 24
 
1.2%
c 23
 
1.2%
l 18
 
0.9%
of 18
 
0.9%
e 18
 
0.9%
david 18
 
0.9%
michael 17
 
0.9%
r 16
 
0.8%
m 16
 
0.8%
Other values (1189) 1754
89.8%
2023-12-13T01:58:00.248679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1265
 
9.9%
e 1054
 
8.3%
a 978
 
7.7%
n 807
 
6.3%
r 732
 
5.7%
i 674
 
5.3%
o 645
 
5.1%
l 512
 
4.0%
t 485
 
3.8%
s 467
 
3.7%
Other values (60) 5150
40.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8639
67.7%
Uppercase Letter 2090
 
16.4%
Space Separator 1265
 
9.9%
Other Punctuation 723
 
5.7%
Dash Punctuation 23
 
0.2%
Open Punctuation 10
 
0.1%
Close Punctuation 9
 
0.1%
Other Letter 5
 
< 0.1%
Decimal Number 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1054
12.2%
a 978
11.3%
n 807
9.3%
r 732
 
8.5%
i 674
 
7.8%
o 645
 
7.5%
l 512
 
5.9%
t 485
 
5.6%
s 467
 
5.4%
h 349
 
4.0%
Other values (16) 1936
22.4%
Uppercase Letter
ValueCountFrequency (%)
M 181
 
8.7%
S 173
 
8.3%
A 145
 
6.9%
J 141
 
6.7%
R 134
 
6.4%
C 131
 
6.3%
D 121
 
5.8%
B 114
 
5.5%
L 94
 
4.5%
T 92
 
4.4%
Other values (16) 764
36.6%
Other Punctuation
ValueCountFrequency (%)
, 457
63.2%
. 156
 
21.6%
; 94
 
13.0%
' 6
 
0.8%
/ 4
 
0.6%
: 3
 
0.4%
＆ 3
 
0.4%
Other Letter
ValueCountFrequency (%)
외 2
40.0%
교 1
20.0%
부 1
20.0%
등 1
20.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10729
84.0%
Common 2035
 
15.9%
Hangul 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1054
 
9.8%
a 978
 
9.1%
n 807
 
7.5%
r 732
 
6.8%
i 674
 
6.3%
o 645
 
6.0%
l 512
 
4.8%
t 485
 
4.5%
s 467
 
4.4%
h 349
 
3.3%
Other values (42) 4026
37.5%
Common
ValueCountFrequency (%)
1265
62.2%
, 457
 
22.5%
. 156
 
7.7%
; 94
 
4.6%
- 23
 
1.1%
( 10
 
0.5%
) 9
 
0.4%
' 6
 
0.3%
/ 4
 
0.2%
: 3
 
0.1%
Other values (4) 8
 
0.4%
Hangul
ValueCountFrequency (%)
외 2
40.0%
교 1
20.0%
부 1
20.0%
등 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12761
99.9%
Hangul 5
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1265
 
9.9%
e 1054
 
8.3%
a 978
 
7.7%
n 807
 
6.3%
r 732
 
5.7%
i 674
 
5.3%
o 645
 
5.1%
l 512
 
4.0%
t 485
 
3.8%
s 467
 
3.7%
Other values (55) 5142
40.3%
None
ValueCountFrequency (%)
＆ 3
100.0%
Hangul
ValueCountFrequency (%)
외 2
40.0%
교 1
20.0%
부 1
20.0%
등 1
20.0%

출판사
Text

Distinct330
Distinct (%)47.3%
Missing1
Missing (%)0.1%
Memory size5.6 KiB
2023-12-13T01:58:00.561338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length42
Mean length16.862267
Min length3

Characters and Unicode

Total characters11753
Distinct characters66
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)35.4%

Sample

1st rowIndependently Published
2nd rowMariner Books
3rd rowPrinceton University Press
4th rowColumbia Press
5th rowBrookings Institution Press
ValueCountFrequency (%)
press 190
 
11.5%
university 103
 
6.2%
oxford 65
 
3.9%
＆ 55
 
3.3%
routledge 53
 
3.2%
francis 48
 
2.9%
taylor 48
 
2.9%
cambridge 39
 
2.4%
univ 35
 
2.1%
palgrave 28
 
1.7%
Other values (350) 987
59.8%
2023-12-13T01:58:01.061546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1009
 
8.6%
958
 
8.2%
r 912
 
7.8%
i 861
 
7.3%
s 808
 
6.9%
n 693
 
5.9%
a 636
 
5.4%
o 549
 
4.7%
t 492
 
4.2%
l 463
 
3.9%
Other values (56) 4372
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8752
74.5%
Uppercase Letter 1854
 
15.8%
Space Separator 958
 
8.2%
Other Punctuation 170
 
1.4%
Dash Punctuation 10
 
0.1%
Decimal Number 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 355
19.1%
U 171
 
9.2%
C 148
 
8.0%
S 140
 
7.6%
R 103
 
5.6%
I 96
 
5.2%
O 94
 
5.1%
A 89
 
4.8%
T 81
 
4.4%
M 74
 
4.0%
Other values (16) 503
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 1009
11.5%
r 912
10.4%
i 861
9.8%
s 808
 
9.2%
n 693
 
7.9%
a 636
 
7.3%
o 549
 
6.3%
t 492
 
5.6%
l 463
 
5.3%
d 293
 
3.3%
Other values (15) 2036
23.3%
Other Punctuation
ValueCountFrequency (%)
. 61
35.9%
＆ 57
33.5%
, 26
15.3%
& 13
 
7.6%
' 11
 
6.5%
: 1
 
0.6%
; 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
5 1
25.0%
0 1
25.0%
Space Separator
ValueCountFrequency (%)
958
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10606
90.2%
Common 1147
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1009
 
9.5%
r 912
 
8.6%
i 861
 
8.1%
s 808
 
7.6%
n 693
 
6.5%
a 636
 
6.0%
o 549
 
5.2%
t 492
 
4.6%
l 463
 
4.4%
P 355
 
3.3%
Other values (41) 3828
36.1%
Common
ValueCountFrequency (%)
958
83.5%
. 61
 
5.3%
＆ 57
 
5.0%
, 26
 
2.3%
& 13
 
1.1%
' 11
 
1.0%
- 10
 
0.9%
( 2
 
0.2%
) 2
 
0.2%
1 2
 
0.2%
Other values (5) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11696
99.5%
None 57
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1009
 
8.6%
958
 
8.2%
r 912
 
7.8%
i 861
 
7.4%
s 808
 
6.9%
n 693
 
5.9%
a 636
 
5.4%
o 549
 
4.7%
t 492
 
4.2%
l 463
 
4.0%
Other values (55) 4315
36.9%
None
ValueCountFrequency (%)
＆ 57
100.0%

Interactions

2023-12-13T01:57:57.719407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T01:57:57.835200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:57:57.921649image/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.
2023-12-13T01:57:58.001602image/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

No서명저자출판사
01A Better State of War: Surmounting the Ethical Cliff in Cyber WarfarePope Jr, Billy EIndependently Published
12A Brilliant Solution : Inventing the American ConstitutionCarol BerkinMariner Books
23A Constructed Peace: The Making of the European Settlement, 1945-1963Marc TrachtenbergPrinceton University Press
34A New Foreign Policy : Beyond American ExceptionalismJeffrey D. SachsColumbia Press
45A Persistent Fire: The Strategic Ethical Impact of World War Ⅰ on the Global Profession of ArmsTimothy S. Mallard, Nathan H. WhiteBrookings Institution Press
56A substitute for victory : The Politics of Peacemaking at The Korean Armistice TalksRosemary FootCornell University Press
67Advanced Time Series Data AnalysisL Forcasting Using EviewsAgung I.Gusti NgurahWiley
78Alternative Military Strategies for the FutureDunn Keith A.; Staudenmaier William O.Routledge
89America's Nuclear Crossroads: A Forward-Looking AnthologyCaroline Dorminey and Eric GomezCato Institute
910Armies of Sand: The Past, Present, and Future of Arab Military EffectivenessPollack Kenneth M.Oxford
No서명저자출판사
688689With All Due Respect : Defending America with Grit and Grace defending America with grit and graceNikki HaleySt. Martin's Press
689690Women in Combat and the Armed Forces: Policies and PerceptionsHunt, Redmond F.; Mills, Vaughn WNova Science
690691World Civil Unmanned Aerial Systems : 2020/2021 Market Profile ＆ ForecastTEAL GROUP CORPORATIONTEAL GROUP CORPORATION
691692World War II Almanac, 1931~1945Robert GoralskiBonanzaBooks
692693Yearbook of International Organizations 2018-2019, Volume 2Union of International AssociationsBrill
693694Yearbook of International Organizations 2018-2019, Volume 3Union of International AssociationsBrill
694695Yearbook of International Organizations 2018-2019, Volume 4Union of International AssociationsBrill
695696Yearbook of International Organizations 2018-2019, Volumes 1AUnion of International AssociationsBrill
696697Yearbook of International Organizations 2018-2019, Volumes 1BUnion of International AssociationsBrill
697698Your Brother in ArmsPlumb, Robert CUniversity of Missouri Press