Overview

Dataset statistics

Number of variables7
Number of observations1452
Missing cells42
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.4 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description외교부 소속의 국립외교원 도서관이 소장하고 있는 도서에 대한 자료명, 저자, 발행처, 발행연도 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15042193/fileData.do

Alerts

소장청구기호 has 32 (2.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:42:01.421333
Analysis finished2023-12-12 13:42:03.561595
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726.5
Minimum1
Maximum1452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-12T22:42:03.643828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.55
Q1363.75
median726.5
Q31089.25
95-th percentile1379.45
Maximum1452
Range1451
Interquartile range (IQR)725.5

Descriptive statistics

Standard deviation419.30061
Coefficient of variation (CV)0.57715156
Kurtosis-1.2
Mean726.5
Median Absolute Deviation (MAD)363
Skewness0
Sum1054878
Variance175813
MonotonicityStrictly increasing
2023-12-12T22:42:04.026090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
977 1
 
0.1%
975 1
 
0.1%
974 1
 
0.1%
973 1
 
0.1%
972 1
 
0.1%
971 1
 
0.1%
970 1
 
0.1%
969 1
 
0.1%
968 1
 
0.1%
Other values (1442) 1442
99.3%
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 (%)
1452 1
0.1%
1451 1
0.1%
1450 1
0.1%
1449 1
0.1%
1448 1
0.1%
1447 1
0.1%
1446 1
0.1%
1445 1
0.1%
1444 1
0.1%
1443 1
0.1%

서명
Text

Distinct1451
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2023-12-12T22:42:04.334055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length147
Median length91
Mean length34.342287
Min length1

Characters and Unicode

Total characters49865
Distinct characters1211
Distinct categories14 ?
Distinct scripts7 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1450 ?
Unique (%)99.9%

Sample

1st row디자인 씽킹 퍼실리테이션 대백과 :바로 써먹는 60가지 디자인 도구
2nd row동물권 논쟁 :피터 싱어·탐 레건 그리고 제3의 해법
3rd row(데일 카네기) 대화론 :당신의 말에 생명을 불어넣어라
4th row(happy와 sad 그 이상이 필요한 이들을 위한) 영어 감정 표현 사전
5th rowLinguistic forms at the border of lexis and grammar :grammaticalization of adpositions across languages
ValueCountFrequency (%)
the 273
 
2.7%
of 155
 
1.5%
and 152
 
1.5%
142
 
1.4%
in 79
 
0.8%
international 57
 
0.6%
law 51
 
0.5%
a 46
 
0.5%
위한 45
 
0.4%
이야기 40
 
0.4%
Other values (5538) 8971
89.6%
2023-12-12T22:42:04.773017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8580
 
17.2%
e 1632
 
3.3%
i 1556
 
3.1%
n 1525
 
3.1%
a 1493
 
3.0%
o 1357
 
2.7%
t 1329
 
2.7%
r 1119
 
2.2%
: 920
 
1.8%
s 872
 
1.7%
Other values (1201) 29482
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20796
41.7%
Lowercase Letter 15993
32.1%
Space Separator 8580
17.2%
Other Punctuation 1569
 
3.1%
Uppercase Letter 1230
 
2.5%
Decimal Number 853
 
1.7%
Close Punctuation 269
 
0.5%
Open Punctuation 269
 
0.5%
Math Symbol 204
 
0.4%
Dash Punctuation 89
 
0.2%
Other values (4) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 825
 
4.0%
이 436
 
2.1%
한 397
 
1.9%
는 366
 
1.8%
국 334
 
1.6%
가 324
 
1.6%
지 299
 
1.4%
기 289
 
1.4%
사 286
 
1.4%
전 265
 
1.3%
Other values (1083) 16975
81.6%
Lowercase Letter
ValueCountFrequency (%)
e 1632
10.2%
i 1556
9.7%
n 1525
9.5%
a 1493
 
9.3%
o 1357
 
8.5%
t 1329
 
8.3%
r 1119
 
7.0%
s 872
 
5.5%
l 710
 
4.4%
c 597
 
3.7%
Other values (35) 3803
23.8%
Uppercase Letter
ValueCountFrequency (%)
T 149
 
12.1%
A 110
 
8.9%
S 104
 
8.5%
I 100
 
8.1%
C 93
 
7.6%
E 76
 
6.2%
K 58
 
4.7%
N 55
 
4.5%
P 53
 
4.3%
U 49
 
4.0%
Other values (17) 383
31.1%
Other Punctuation
ValueCountFrequency (%)
: 920
58.6%
, 275
 
17.5%
? 149
 
9.5%
' 81
 
5.2%
. 64
 
4.1%
· 53
 
3.4%
! 11
 
0.7%
" 6
 
0.4%
/ 5
 
0.3%
& 3
 
0.2%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 193
22.6%
2 192
22.5%
0 166
19.5%
9 77
 
9.0%
3 58
 
6.8%
5 48
 
5.6%
4 33
 
3.9%
7 32
 
3.8%
8 29
 
3.4%
6 25
 
2.9%
Math Symbol
ValueCountFrequency (%)
= 190
93.1%
~ 7
 
3.4%
< 2
 
1.0%
+ 2
 
1.0%
～ 1
 
0.5%
× 1
 
0.5%
> 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 258
95.9%
] 5
 
1.9%
』 4
 
1.5%
」 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 258
95.9%
[ 5
 
1.9%
『 4
 
1.5%
「 2
 
0.7%
Final Punctuation
ValueCountFrequency (%)
’ 3
75.0%
” 1
 
25.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Space Separator
ValueCountFrequency (%)
8580
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19997
40.1%
Latin 17165
34.4%
Common 11843
23.8%
Han 514
 
1.0%
Katakana 156
 
0.3%
Hiragana 129
 
0.3%
Cyrillic 61
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 825
 
4.1%
이 436
 
2.2%
한 397
 
2.0%
는 366
 
1.8%
국 334
 
1.7%
가 324
 
1.6%
지 299
 
1.5%
기 289
 
1.4%
사 286
 
1.4%
전 265
 
1.3%
Other values (768) 16176
80.9%
Han
ValueCountFrequency (%)
日 10
 
1.9%
際 9
 
1.8%
新 9
 
1.8%
論 9
 
1.8%
史 9
 
1.8%
中 9
 
1.8%
政 9
 
1.8%
衛 8
 
1.6%
國 8
 
1.6%
治 8
 
1.6%
Other values (230) 426
82.9%
Latin
ValueCountFrequency (%)
e 1632
 
9.5%
i 1556
 
9.1%
n 1525
 
8.9%
a 1493
 
8.7%
o 1357
 
7.9%
t 1329
 
7.7%
r 1119
 
6.5%
s 872
 
5.1%
l 710
 
4.1%
c 597
 
3.5%
Other values (44) 4975
29.0%
Common
ValueCountFrequency (%)
8580
72.4%
: 920
 
7.8%
, 275
 
2.3%
) 258
 
2.2%
( 258
 
2.2%
1 193
 
1.6%
2 192
 
1.6%
= 190
 
1.6%
0 166
 
1.4%
? 149
 
1.3%
Other values (34) 662
 
5.6%
Katakana
ValueCountFrequency (%)
ク 13
 
8.3%
ア 12
 
7.7%
ン 10
 
6.4%
ッ 9
 
5.8%
ジ 8
 
5.1%
ド 7
 
4.5%
ブ 6
 
3.8%
ロ 6
 
3.8%
ハ 6
 
3.8%
ス 5
 
3.2%
Other values (33) 74
47.4%
Hiragana
ValueCountFrequency (%)
の 35
27.1%
る 18
14.0%
と 10
 
7.8%
す 8
 
6.2%
を 7
 
5.4%
に 5
 
3.9%
か 5
 
3.9%
が 4
 
3.1%
な 3
 
2.3%
た 3
 
2.3%
Other values (22) 31
24.0%
Cyrillic
ValueCountFrequency (%)
о 10
16.4%
к 7
11.5%
р 7
11.5%
н 5
 
8.2%
и 4
 
6.6%
в 4
 
6.6%
а 3
 
4.9%
с 3
 
4.9%
е 3
 
4.9%
м 2
 
3.3%
Other values (10) 13
21.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28930
58.0%
Hangul 19989
40.1%
CJK 513
 
1.0%
Katakana 156
 
0.3%
Hiragana 129
 
0.3%
None 69
 
0.1%
Cyrillic 61
 
0.1%
Compat Jamo 8
 
< 0.1%
Punctuation 6
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8580
29.7%
e 1632
 
5.6%
i 1556
 
5.4%
n 1525
 
5.3%
a 1493
 
5.2%
o 1357
 
4.7%
t 1329
 
4.6%
r 1119
 
3.9%
: 920
 
3.2%
s 872
 
3.0%
Other values (73) 8547
29.5%
Hangul
ValueCountFrequency (%)
의 825
 
4.1%
이 436
 
2.2%
한 397
 
2.0%
는 366
 
1.8%
국 334
 
1.7%
가 324
 
1.6%
지 299
 
1.5%
기 289
 
1.4%
사 286
 
1.4%
전 265
 
1.3%
Other values (766) 16168
80.9%
None
ValueCountFrequency (%)
· 53
76.8%
『 4
 
5.8%
』 4
 
5.8%
」 2
 
2.9%
「 2
 
2.9%
～ 1
 
1.4%
× 1
 
1.4%
ı 1
 
1.4%
、 1
 
1.4%
Hiragana
ValueCountFrequency (%)
の 35
27.1%
る 18
14.0%
と 10
 
7.8%
す 8
 
6.2%
を 7
 
5.4%
に 5
 
3.9%
か 5
 
3.9%
が 4
 
3.1%
な 3
 
2.3%
た 3
 
2.3%
Other values (22) 31
24.0%
Katakana
ValueCountFrequency (%)
ク 13
 
8.3%
ア 12
 
7.7%
ン 10
 
6.4%
ッ 9
 
5.8%
ジ 8
 
5.1%
ド 7
 
4.5%
ブ 6
 
3.8%
ロ 6
 
3.8%
ハ 6
 
3.8%
ス 5
 
3.2%
Other values (33) 74
47.4%
CJK
ValueCountFrequency (%)
日 10
 
1.9%
際 9
 
1.8%
新 9
 
1.8%
論 9
 
1.8%
史 9
 
1.8%
中 9
 
1.8%
政 9
 
1.8%
衛 8
 
1.6%
國 8
 
1.6%
治 8
 
1.6%
Other values (229) 425
82.8%
Cyrillic
ValueCountFrequency (%)
о 10
16.4%
к 7
11.5%
р 7
11.5%
н 5
 
8.2%
и 4
 
6.6%
в 4
 
6.6%
а 3
 
4.9%
с 3
 
4.9%
е 3
 
4.9%
м 2
 
3.3%
Other values (10) 13
21.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
62.5%
ㅡ 3
37.5%
Punctuation
ValueCountFrequency (%)
’ 3
50.0%
‘ 1
 
16.7%
” 1
 
16.7%
“ 1
 
16.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
不 1
100.0%

저자
Text

Distinct1334
Distinct (%)92.1%
Missing3
Missing (%)0.2%
Memory size11.5 KiB
2023-12-12T22:42:05.135384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length48
Mean length6.8640442
Min length2

Characters and Unicode

Total characters9946
Distinct characters678
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1251 ?
Unique (%)86.3%

Sample

1st row알다나, 멜리사
2nd row임종식
3rd row카네기, 데일
4th row노리스, 샘
5th rowRhee, Seongha
ValueCountFrequency (%)
michael 11
 
0.5%
존 11
 
0.5%
j 10
 
0.4%
r 9
 
0.4%
m 7
 
0.3%
l 7
 
0.3%
브라이언 6
 
0.3%
카네기 6
 
0.3%
데일 6
 
0.3%
a 6
 
0.3%
Other values (1876) 2186
96.5%
2023-12-12T22:42:05.730885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
829
 
8.3%
, 529
 
5.3%
e 354
 
3.6%
a 353
 
3.5%
n 294
 
3.0%
i 258
 
2.6%
r 235
 
2.4%
o 228
 
2.3%
이 179
 
1.8%
l 172
 
1.7%
Other values (668) 6515
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4786
48.1%
Lowercase Letter 3020
30.4%
Space Separator 829
 
8.3%
Uppercase Letter 708
 
7.1%
Other Punctuation 567
 
5.7%
Dash Punctuation 17
 
0.2%
Open Punctuation 4
 
< 0.1%
Modifier Symbol 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Decimal Number 4
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 179
 
3.7%
김 145
 
3.0%
스 94
 
2.0%
정 84
 
1.8%
리 67
 
1.4%
영 62
 
1.3%
박 52
 
1.1%
시 48
 
1.0%
마 48
 
1.0%
한 47
 
1.0%
Other values (598) 3960
82.7%
Lowercase Letter
ValueCountFrequency (%)
e 354
11.7%
a 353
11.7%
n 294
9.7%
i 258
 
8.5%
r 235
 
7.8%
o 228
 
7.5%
l 172
 
5.7%
h 149
 
4.9%
t 148
 
4.9%
s 127
 
4.2%
Other values (18) 702
23.2%
Uppercase Letter
ValueCountFrequency (%)
M 68
 
9.6%
S 61
 
8.6%
J 52
 
7.3%
P 50
 
7.1%
A 45
 
6.4%
B 45
 
6.4%
G 42
 
5.9%
H 39
 
5.5%
R 37
 
5.2%
C 36
 
5.1%
Other values (16) 233
32.9%
Other Punctuation
ValueCountFrequency (%)
, 529
93.3%
? 22
 
3.9%
. 14
 
2.5%
/ 1
 
0.2%
& 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4554
45.8%
Latin 3728
37.5%
Common 1432
 
14.4%
Han 220
 
2.2%
Katakana 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 179
 
3.9%
김 145
 
3.2%
스 94
 
2.1%
정 84
 
1.8%
리 67
 
1.5%
영 62
 
1.4%
박 52
 
1.1%
시 48
 
1.1%
마 48
 
1.1%
한 47
 
1.0%
Other values (467) 3728
81.9%
Han
ValueCountFrequency (%)
田 6
 
2.7%
社 6
 
2.7%
朝 6
 
2.7%
新 6
 
2.7%
雲 6
 
2.7%
聞 6
 
2.7%
集 6
 
2.7%
編 6
 
2.7%
正 4
 
1.8%
井 4
 
1.8%
Other values (113) 164
74.5%
Latin
ValueCountFrequency (%)
e 354
 
9.5%
a 353
 
9.5%
n 294
 
7.9%
i 258
 
6.9%
r 235
 
6.3%
o 228
 
6.1%
l 172
 
4.6%
h 149
 
4.0%
t 148
 
4.0%
s 127
 
3.4%
Other values (44) 1410
37.8%
Common
ValueCountFrequency (%)
829
57.9%
, 529
36.9%
? 22
 
1.5%
- 17
 
1.2%
. 14
 
1.0%
( 4
 
0.3%
` 4
 
0.3%
) 4
 
0.3%
2 2
 
0.1%
/ 1
 
0.1%
Other values (6) 6
 
0.4%
Katakana
ValueCountFrequency (%)
ア 3
25.0%
ク 2
16.7%
ラ 2
16.7%
ン 1
 
8.3%
イ 1
 
8.3%
ジ 1
 
8.3%
チ 1
 
8.3%
ブ 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5154
51.8%
Hangul 4554
45.8%
CJK 218
 
2.2%
Katakana 12
 
0.1%
None 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
829
16.1%
, 529
 
10.3%
e 354
 
6.9%
a 353
 
6.8%
n 294
 
5.7%
i 258
 
5.0%
r 235
 
4.6%
o 228
 
4.4%
l 172
 
3.3%
h 149
 
2.9%
Other values (55) 1753
34.0%
Hangul
ValueCountFrequency (%)
이 179
 
3.9%
김 145
 
3.2%
스 94
 
2.1%
정 84
 
1.8%
리 67
 
1.5%
영 62
 
1.4%
박 52
 
1.1%
시 48
 
1.1%
마 48
 
1.1%
한 47
 
1.0%
Other values (467) 3728
81.9%
CJK
ValueCountFrequency (%)
田 6
 
2.8%
社 6
 
2.8%
朝 6
 
2.8%
新 6
 
2.8%
雲 6
 
2.8%
聞 6
 
2.8%
集 6
 
2.8%
編 6
 
2.8%
正 4
 
1.8%
井 4
 
1.8%
Other values (111) 162
74.3%
Katakana
ValueCountFrequency (%)
ア 3
25.0%
ク 2
16.7%
ラ 2
16.7%
ン 1
 
8.3%
イ 1
 
8.3%
ジ 1
 
8.3%
チ 1
 
8.3%
ブ 1
 
8.3%
None
ValueCountFrequency (%)
ø 2
50.0%
ł 1
25.0%
ß 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
龍 1
50.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

발행처
Text

Distinct728
Distinct (%)50.2%
Missing3
Missing (%)0.2%
Memory size11.5 KiB
2023-12-12T22:42:06.087927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length50
Mean length7.6859903
Min length1

Characters and Unicode

Total characters11137
Distinct characters541
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique506 ?
Unique (%)34.9%

Sample

1st row유엑스리뷰
2nd row경진출판
3rd row국일미디어
4th row길벗이지톡
5th row글로벌콘텐츠
ValueCountFrequency (%)
press 102
 
5.2%
university 92
 
4.7%
박영사 62
 
3.1%
동북아역사재단 33
 
1.7%
oxford 32
 
1.6%
cambridge 22
 
1.1%
books 22
 
1.1%
문학동네 21
 
1.1%
routledge 20
 
1.0%
20
 
1.0%
Other values (801) 1544
78.4%
2023-12-12T22:42:06.670016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
523
 
4.7%
e 495
 
4.4%
r 478
 
4.3%
s 459
 
4.1%
i 457
 
4.1%
n 345
 
3.1%
o 310
 
2.8%
사 303
 
2.7%
a 272
 
2.4%
t 270
 
2.4%
Other values (531) 7225
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5144
46.2%
Lowercase Letter 4448
39.9%
Uppercase Letter 857
 
7.7%
Space Separator 523
 
4.7%
Other Punctuation 83
 
0.7%
Decimal Number 47
 
0.4%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Modifier Symbol 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 303
 
5.9%
스 176
 
3.4%
북 150
 
2.9%
문 131
 
2.5%
아 113
 
2.2%
출 96
 
1.9%
판 96
 
1.9%
학 93
 
1.8%
한 88
 
1.7%
이 86
 
1.7%
Other values (464) 3812
74.1%
Lowercase Letter
ValueCountFrequency (%)
e 495
11.1%
r 478
10.7%
s 459
10.3%
i 457
10.3%
n 345
 
7.8%
o 310
 
7.0%
a 272
 
6.1%
t 270
 
6.1%
l 213
 
4.8%
d 138
 
3.1%
Other values (15) 1011
22.7%
Uppercase Letter
ValueCountFrequency (%)
P 172
20.1%
U 100
11.7%
C 78
 
9.1%
B 68
 
7.9%
S 60
 
7.0%
R 42
 
4.9%
O 36
 
4.2%
I 36
 
4.2%
L 33
 
3.9%
H 31
 
3.6%
Other values (15) 201
23.5%
Other Punctuation
ValueCountFrequency (%)
& 23
27.7%
? 21
25.3%
. 19
22.9%
, 14
16.9%
' 4
 
4.8%
# 1
 
1.2%
＆ 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 24
51.1%
1 19
40.4%
7 2
 
4.3%
0 1
 
2.1%
4 1
 
2.1%
Space Separator
ValueCountFrequency (%)
523
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5305
47.6%
Hangul 4851
43.6%
Common 688
 
6.2%
Han 261
 
2.3%
Katakana 29
 
0.3%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 303
 
6.2%
스 176
 
3.6%
북 150
 
3.1%
문 131
 
2.7%
아 113
 
2.3%
출 96
 
2.0%
판 96
 
2.0%
학 93
 
1.9%
한 88
 
1.8%
이 86
 
1.8%
Other values (368) 3519
72.5%
Han
ValueCountFrequency (%)
社 34
 
13.0%
書 16
 
6.1%
新 14
 
5.4%
文 14
 
5.4%
房 12
 
4.6%
聞 10
 
3.8%
朝 7
 
2.7%
雲 6
 
2.3%
日 6
 
2.3%
本 5
 
1.9%
Other values (66) 137
52.5%
Latin
ValueCountFrequency (%)
e 495
 
9.3%
r 478
 
9.0%
s 459
 
8.7%
i 457
 
8.6%
n 345
 
6.5%
o 310
 
5.8%
a 272
 
5.1%
t 270
 
5.1%
l 213
 
4.0%
P 172
 
3.2%
Other values (40) 1834
34.6%
Common
ValueCountFrequency (%)
523
76.0%
2 24
 
3.5%
& 23
 
3.3%
? 21
 
3.1%
. 19
 
2.8%
1 19
 
2.8%
( 14
 
2.0%
) 14
 
2.0%
, 14
 
2.0%
` 4
 
0.6%
Other values (7) 13
 
1.9%
Katakana
ValueCountFrequency (%)
ル 4
13.8%
ネ 4
13.8%
ヴ 3
10.3%
ミ 3
10.3%
ァ 3
10.3%
ド 1
 
3.4%
モ 1
 
3.4%
ン 1
 
3.4%
ヤ 1
 
3.4%
イ 1
 
3.4%
Other values (7) 7
24.1%
Hiragana
ValueCountFrequency (%)
も 1
33.3%
す 1
33.3%
ず 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5992
53.8%
Hangul 4851
43.6%
CJK 261
 
2.3%
Katakana 29
 
0.3%
Hiragana 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
523
 
8.7%
e 495
 
8.3%
r 478
 
8.0%
s 459
 
7.7%
i 457
 
7.6%
n 345
 
5.8%
o 310
 
5.2%
a 272
 
4.5%
t 270
 
4.5%
l 213
 
3.6%
Other values (56) 2170
36.2%
Hangul
ValueCountFrequency (%)
사 303
 
6.2%
스 176
 
3.6%
북 150
 
3.1%
문 131
 
2.7%
아 113
 
2.3%
출 96
 
2.0%
판 96
 
2.0%
학 93
 
1.9%
한 88
 
1.8%
이 86
 
1.8%
Other values (368) 3519
72.5%
CJK
ValueCountFrequency (%)
社 34
 
13.0%
書 16
 
6.1%
新 14
 
5.4%
文 14
 
5.4%
房 12
 
4.6%
聞 10
 
3.8%
朝 7
 
2.7%
雲 6
 
2.3%
日 6
 
2.3%
本 5
 
1.9%
Other values (66) 137
52.5%
Katakana
ValueCountFrequency (%)
ル 4
13.8%
ネ 4
13.8%
ヴ 3
10.3%
ミ 3
10.3%
ァ 3
10.3%
ド 1
 
3.4%
モ 1
 
3.4%
ン 1
 
3.4%
ヤ 1
 
3.4%
イ 1
 
3.4%
Other values (7) 7
24.1%
Hiragana
ValueCountFrequency (%)
も 1
33.3%
す 1
33.3%
ず 1
33.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

발행연도
Real number (ℝ)

Distinct42
Distinct (%)2.9%
Missing4
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2019.2866
Minimum1961
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2023-12-12T22:42:06.807386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1961
5-th percentile2006
Q12020
median2022
Q32022
95-th percentile2023
Maximum2023
Range62
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.5045867
Coefficient of variation (CV)0.00322123
Kurtosis15.18145
Mean2019.2866
Median Absolute Deviation (MAD)1
Skewness-3.5006052
Sum2923927
Variance42.309648
MonotonicityNot monotonic
2023-12-12T22:42:06.972453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2022 696
47.9%
2021 216
 
14.9%
2023 158
 
10.9%
2020 63
 
4.3%
2019 30
 
2.1%
2014 29
 
2.0%
2015 26
 
1.8%
2012 25
 
1.7%
2018 25
 
1.7%
2016 22
 
1.5%
Other values (32) 158
 
10.9%
ValueCountFrequency (%)
1961 1
 
0.1%
1972 1
 
0.1%
1977 1
 
0.1%
1982 2
0.1%
1984 1
 
0.1%
1985 1
 
0.1%
1987 2
0.1%
1988 1
 
0.1%
1989 1
 
0.1%
1990 3
0.2%
ValueCountFrequency (%)
2023 158
 
10.9%
2022 696
47.9%
2021 216
 
14.9%
2020 63
 
4.3%
2019 30
 
2.1%
2018 25
 
1.7%
2017 18
 
1.2%
2016 22
 
1.5%
2015 26
 
1.8%
2014 29
 
2.0%

유형
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
단행본(KORMARC)
1209 
단행본(USMARC)
243 

Length

Max length12
Median length12
Mean length11.832645
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단행본(KORMARC)
2nd row단행본(KORMARC)
3rd row단행본(KORMARC)
4th row단행본(KORMARC)
5th row단행본(USMARC)

Common Values

ValueCountFrequency (%)
단행본(KORMARC) 1209
83.3%
단행본(USMARC) 243
 
16.7%

Length

2023-12-12T22:42:07.175298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:42:07.327467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단행본(kormarc 1209
83.3%
단행본(usmarc 243
 
16.7%

소장청구기호
Text

MISSING 

Distinct1420
Distinct (%)100.0%
Missing32
Missing (%)2.2%
Memory size11.5 KiB
2023-12-12T22:42:07.703350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length140
Median length105
Mean length22.933099
Min length14

Characters and Unicode

Total characters32565
Distinct characters451
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1420 ?
Unique (%)100.0%

Sample

1st row국립외교원 658.4063 알221디
2nd row국립외교원 179.3 임75동
3rd row국립외교원 808.5 카213대
4th row국립외교원 428 노239영
5th row국립외교원 401 R469L
ValueCountFrequency (%)
국립외교원 1420
27.0%
외교정책자료실 208
 
4.0%
i 93
 
1.8%
342.519 36
 
0.7%
951.903 33
 
0.6%
v.1/v.2 25
 
0.5%
895.74 24
 
0.5%
일73 23
 
0.4%
r 23
 
0.4%
158.1 21
 
0.4%
Other values (2327) 3356
63.8%
2023-12-12T22:42:08.319807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3842
 
11.8%
3 2300
 
7.1%
1 1849
 
5.7%
2 1755
 
5.4%
9 1726
 
5.3%
. 1701
 
5.2%
외 1630
 
5.0%
교 1630
 
5.0%
5 1557
 
4.8%
국 1463
 
4.5%
Other values (441) 13112
40.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14368
44.1%
Other Letter 11247
34.5%
Space Separator 3842
 
11.8%
Other Punctuation 1977
 
6.1%
Uppercase Letter 768
 
2.4%
Lowercase Letter 338
 
1.0%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
외 1630
14.5%
교 1630
14.5%
국 1463
13.0%
원 1424
12.7%
립 1420
12.6%
정 280
 
2.5%
자 222
 
2.0%
책 211
 
1.9%
실 209
 
1.9%
료 208
 
1.8%
Other values (375) 2550
22.7%
Uppercase Letter
ValueCountFrequency (%)
I 117
15.2%
S 52
 
6.8%
R 50
 
6.5%
P 47
 
6.1%
M 45
 
5.9%
G 44
 
5.7%
C 43
 
5.6%
H 42
 
5.5%
F 33
 
4.3%
B 33
 
4.3%
Other values (16) 262
34.1%
Lowercase Letter
ValueCountFrequency (%)
v 267
79.0%
w 9
 
2.7%
c 8
 
2.4%
h 7
 
2.1%
s 6
 
1.8%
a 5
 
1.5%
l 5
 
1.5%
f 4
 
1.2%
p 3
 
0.9%
i 3
 
0.9%
Other values (12) 21
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 2300
16.0%
1 1849
12.9%
2 1755
12.2%
9 1726
12.0%
5 1557
10.8%
7 1202
8.4%
0 1202
8.4%
4 1063
7.4%
8 935
6.5%
6 779
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 1701
86.0%
/ 231
 
11.7%
, 32
 
1.6%
? 13
 
0.7%
Space Separator
ValueCountFrequency (%)
3842
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20212
62.1%
Hangul 11247
34.5%
Latin 1106
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
외 1630
14.5%
교 1630
14.5%
국 1463
13.0%
원 1424
12.7%
립 1420
12.6%
정 280
 
2.5%
자 222
 
2.0%
책 211
 
1.9%
실 209
 
1.9%
료 208
 
1.8%
Other values (375) 2550
22.7%
Latin
ValueCountFrequency (%)
v 267
24.1%
I 117
 
10.6%
S 52
 
4.7%
R 50
 
4.5%
P 47
 
4.2%
M 45
 
4.1%
G 44
 
4.0%
C 43
 
3.9%
H 42
 
3.8%
F 33
 
3.0%
Other values (38) 366
33.1%
Common
ValueCountFrequency (%)
3842
19.0%
3 2300
11.4%
1 1849
9.1%
2 1755
8.7%
9 1726
8.5%
. 1701
8.4%
5 1557
7.7%
7 1202
 
5.9%
0 1202
 
5.9%
4 1063
 
5.3%
Other values (8) 2015
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21318
65.5%
Hangul 11125
34.2%
Compat Jamo 122
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3842
18.0%
3 2300
10.8%
1 1849
8.7%
2 1755
8.2%
9 1726
8.1%
. 1701
8.0%
5 1557
7.3%
7 1202
 
5.6%
0 1202
 
5.6%
4 1063
 
5.0%
Other values (56) 3121
14.6%
Hangul
ValueCountFrequency (%)
외 1630
14.7%
교 1630
14.7%
국 1463
13.2%
원 1424
12.8%
립 1420
12.8%
정 280
 
2.5%
자 222
 
2.0%
책 211
 
1.9%
실 209
 
1.9%
료 208
 
1.9%
Other values (360) 2428
21.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 23
18.9%
ㄱ 16
13.1%
ㅈ 15
12.3%
ㅎ 10
8.2%
ㅂ 9
 
7.4%
ㅁ 9
 
7.4%
ㅅ 8
 
6.6%
ㄴ 8
 
6.6%
ㄷ 7
 
5.7%
ㅊ 6
 
4.9%
Other values (5) 11
9.0%

Interactions

2023-12-12T22:42:03.011927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:02.805895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:03.121169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:02.909114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:42:08.418653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행연도유형
번호1.0000.3610.264
발행연도0.3611.0000.152
유형0.2640.1521.000
2023-12-12T22:42:08.511836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행연도유형
번호1.000-0.3620.202
발행연도-0.3621.0000.150
유형0.2020.1501.000

Missing values

2023-12-12T22:42:03.266813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:42:03.382797image/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.
2023-12-12T22:42:03.491506image/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

번호서명저자발행처발행연도유형소장청구기호
01디자인 씽킹 퍼실리테이션 대백과 :바로 써먹는 60가지 디자인 도구알다나, 멜리사유엑스리뷰2021단행본(KORMARC)국립외교원 658.4063 알221디
12동물권 논쟁 :피터 싱어·탐 레건 그리고 제3의 해법임종식경진출판2021단행본(KORMARC)국립외교원 179.3 임75동
23(데일 카네기) 대화론 :당신의 말에 생명을 불어넣어라카네기, 데일국일미디어2023단행본(KORMARC)국립외교원 808.5 카213대
34(happy와 sad 그 이상이 필요한 이들을 위한) 영어 감정 표현 사전노리스, 샘길벗이지톡2022단행본(KORMARC)국립외교원 428 노239영
45Linguistic forms at the border of lexis and grammar :grammaticalization of adpositions across languagesRhee, Seongha글로벌콘텐츠2021단행본(USMARC)국립외교원 401 R469L
56식민지 조선의 서양음악 수용과 일본인의 음악활동김지선민속원2021단행본(KORMARC)국립외교원 951.903 김79식
67지역을 디자인하다 :지방소멸에 대처하는 지역마케팅 교과서미야조에 겐시학연문화사2021단행본(KORMARC)국립외교원 307 미62지
78(파이썬으로 배우는) 과학계산김웅태서울대학교출판문화원2021단행본(KORMARC)국립외교원 005.1 김67과
89(2023 제14회) 젊은작가상 수상작품집이미상문학동네2023단행본(KORMARC)국립외교원 895.73 젊68 2023 외교정책자료실 811.32 젊68 2023
910썬킴의 거침없는 중국사 :(신화시대부터 청나라까지)영화처럼 읽는 중국 역사 이야기킴, 썬지식의숲2023단행본(KORMARC)국립외교원 951 킴53썬
번호서명저자발행처발행연도유형소장청구기호
14421443수출입물류통계연보관세청관세청 한국관세무역개발원2006단행본(KORMARC)국립외교원 R 382.0212 관53수 2005/2006/2014/2015/2016/2017/2020/2021, R 382.0212 관53수 2018
14431444(The) new Mandarins :how British foreign folicy worksDickie, JohnI. B. Tauris2004단행본(KORMARC)국립외교원 327.41 D552N
14441445북한 주요 인물정보통일부통일부2000단행본(KORMARC)국립외교원 R 920.05193 북91ㄹ 2014/2015/2017/2018/2021/2022
14451446북한 기관별 인명록통일부통일부1999단행본(KORMARC)국립외교원 R 920.05193 북91ㄷ 2012/2012(색인)/2013/2014/2015/2017/2018/2020/2021/2022, R 920.05193 북91ㄷ 2019
14461447통일한국의 외교안보 :전망과 대책이태환세종연구소1999단행본(KORMARC)국립외교원 327.519 이832통
14471448북한인권백서통일연구원통일연구원1996단행본(KORMARC)국립외교원 L 323.4095193 북91 2009, R 323.4095193 북91 2009/2010/2011/2012/2013/2014/2015/2016/2017/2018/2021...
14481449Strategy and arms controlSchelling, Thomas CThe Twentieth Century Fund1961단행본(KORMARC)국립외교원 327.174 S322s
14491450United Nations handbookNew Zealand Ministry of Foreign AffairsNew Zealand Ministry of Foreign Affairs1977단행본(KORMARC)국립외교원 R 341.2302 U58 2000/2001/2008/2009/2011/2012/2017/2018/2019/2020
14501451국방백서국방부國防部<NA>단행본(KORMARC)국립외교원 R 355.45 국41 2022, R 355.45 국41 2018
14511452海外의 韓國獨立運動史料國家報勳處國家報勳處1995단행본(KORMARC)국립외교원 H 951.903 해66 v.36/v.4/v.45/v.6/v.7/v.8/v.9