Overview

Dataset statistics

Number of variables4
Number of observations3928
Missing cells22
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.7 KiB
Average record size in memory33.0 B

Variable types

Text3
Numeric1

Dataset

Description한국전력 전자도서관 보유중인 도서 및 자료 정보_외부 일반인에게도 제공(도서명, 저자명, 발행자, 발행년, 분류기호)
Author한국전력공사
URLhttps://www.data.go.kr/data/15053287/fileData.do

Reproduction

Analysis started2023-12-12 05:35:54.345690
Analysis finished2023-12-12 05:35:56.090893
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명
Text

Distinct3872
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size30.8 KiB
2023-12-12T14:35:56.347185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length68
Mean length20.617363
Min length1

Characters and Unicode

Total characters80985
Distinct characters1331
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3820 ?
Unique (%)97.3%

Sample

1st row지식형인간
2nd row위험한 생각들 당대 최고의 석학 명에게 물었다
3rd rowCEO 인문학 역사 문학 철학 종교 예술로 배우는 세기 인문 경영
4th row지식의 단련법 다치바나 식 지적 생산의 기술
5th row사물의 민낯 ~ very important historic objects 잡동사니로 보는 유쾌한 사물들의 인류학
ValueCountFrequency (%)
200
 
1.0%
위한 130
 
0.7%
가지 117
 
0.6%
이야기 84
 
0.4%
심리학 83
 
0.4%
why 80
 
0.4%
힘 73
 
0.4%
대한민국 70
 
0.4%
어떻게 69
 
0.4%
내 68
 
0.4%
Other values (9384) 18454
95.0%
2023-12-12T14:35:56.869720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17905
 
22.1%
의 2243
 
2.8%
는 1294
 
1.6%
이 1101
 
1.4%
한 907
 
1.1%
인 847
 
1.0%
사 819
 
1.0%
기 813
 
1.0%
가 813
 
1.0%
지 805
 
1.0%
Other values (1321) 53438
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53382
65.9%
Space Separator 17905
 
22.1%
Lowercase Letter 4845
 
6.0%
Uppercase Letter 3470
 
4.3%
Other Punctuation 615
 
0.8%
Open Punctuation 314
 
0.4%
Close Punctuation 313
 
0.4%
Math Symbol 133
 
0.2%
Letter Number 6
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2243
 
4.2%
는 1294
 
2.4%
이 1101
 
2.1%
한 907
 
1.7%
인 847
 
1.6%
사 819
 
1.5%
기 813
 
1.5%
가 813
 
1.5%
지 805
 
1.5%
을 805
 
1.5%
Other values (1239) 42935
80.4%
Lowercase Letter
ValueCountFrequency (%)
e 518
10.7%
a 437
 
9.0%
i 422
 
8.7%
n 393
 
8.1%
o 388
 
8.0%
t 376
 
7.8%
r 355
 
7.3%
s 288
 
5.9%
l 216
 
4.5%
h 215
 
4.4%
Other values (16) 1237
25.5%
Uppercase Letter
ValueCountFrequency (%)
S 413
11.9%
T 395
11.4%
I 361
10.4%
E 353
10.2%
A 286
 
8.2%
R 245
 
7.1%
C 196
 
5.6%
O 142
 
4.1%
N 139
 
4.0%
B 99
 
2.9%
Other values (16) 841
24.2%
Other Punctuation
ValueCountFrequency (%)
, 328
53.3%
' 86
 
14.0%
. 58
 
9.4%
! 37
 
6.0%
· 30
 
4.9%
& 26
 
4.2%
， 20
 
3.3%
% 15
 
2.4%
． 10
 
1.6%
/ 4
 
0.7%
Math Symbol
ValueCountFrequency (%)
= 122
91.7%
~ 5
 
3.8%
+ 4
 
3.0%
> 1
 
0.8%
< 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 310
98.7%
『 2
 
0.6%
「 1
 
0.3%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 309
98.7%
』 2
 
0.6%
」 1
 
0.3%
] 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 2
33.3%
Ⅲ 1
 
16.7%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
50.0%
℃ 1
50.0%
Space Separator
ValueCountFrequency (%)
17905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52847
65.3%
Common 19282
 
23.8%
Latin 8321
 
10.3%
Han 499
 
0.6%
Katakana 25
 
< 0.1%
Hiragana 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2243
 
4.2%
는 1294
 
2.4%
이 1101
 
2.1%
한 907
 
1.7%
인 847
 
1.6%
사 819
 
1.5%
기 813
 
1.5%
가 813
 
1.5%
지 805
 
1.5%
을 805
 
1.5%
Other values (985) 42400
80.2%
Han
ValueCountFrequency (%)
統 22
 
4.4%
國 18
 
3.6%
計 18
 
3.6%
學 10
 
2.0%
韓 10
 
2.0%
年 9
 
1.8%
全 7
 
1.4%
年 7
 
1.4%
報 7
 
1.4%
人 7
 
1.4%
Other values (225) 384
77.0%
Latin
ValueCountFrequency (%)
e 518
 
6.2%
a 437
 
5.3%
i 422
 
5.1%
S 413
 
5.0%
T 395
 
4.7%
n 393
 
4.7%
o 388
 
4.7%
t 376
 
4.5%
I 361
 
4.3%
r 355
 
4.3%
Other values (45) 4263
51.2%
Common
ValueCountFrequency (%)
17905
92.9%
, 328
 
1.7%
( 310
 
1.6%
) 309
 
1.6%
= 122
 
0.6%
' 86
 
0.4%
. 58
 
0.3%
! 37
 
0.2%
· 30
 
0.2%
& 26
 
0.1%
Other values (17) 71
 
0.4%
Hiragana
ValueCountFrequency (%)
の 2
18.2%
な 1
9.1%
か 1
9.1%
が 1
9.1%
る 1
9.1%
と 1
9.1%
わ 1
9.1%
て 1
9.1%
め 1
9.1%
を 1
9.1%
Katakana
ValueCountFrequency (%)
エ 5
20.0%
ネ 5
20.0%
ル 5
20.0%
ギ 5
20.0%
デ 1
 
4.0%
タ 1
 
4.0%
ブ 1
 
4.0%
ッ 1
 
4.0%
ク 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52844
65.3%
ASCII 27528
34.0%
CJK 485
 
0.6%
None 67
 
0.1%
Katakana 25
 
< 0.1%
CJK Compat Ideographs 14
 
< 0.1%
Hiragana 11
 
< 0.1%
Number Forms 6
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17905
65.0%
e 518
 
1.9%
a 437
 
1.6%
i 422
 
1.5%
S 413
 
1.5%
T 395
 
1.4%
n 393
 
1.4%
o 388
 
1.4%
t 376
 
1.4%
I 361
 
1.3%
Other values (59) 5920
 
21.5%
Hangul
ValueCountFrequency (%)
의 2243
 
4.2%
는 1294
 
2.4%
이 1101
 
2.1%
한 907
 
1.7%
인 847
 
1.6%
사 819
 
1.5%
기 813
 
1.5%
가 813
 
1.5%
지 805
 
1.5%
을 805
 
1.5%
Other values (984) 42397
80.2%
None
ValueCountFrequency (%)
· 30
44.8%
， 20
29.9%
． 10
 
14.9%
『 2
 
3.0%
』 2
 
3.0%
」 1
 
1.5%
「 1
 
1.5%
＆ 1
 
1.5%
CJK
ValueCountFrequency (%)
統 22
 
4.5%
國 18
 
3.7%
計 18
 
3.7%
學 10
 
2.1%
韓 10
 
2.1%
全 7
 
1.4%
年 7
 
1.4%
報 7
 
1.4%
人 7
 
1.4%
成 6
 
1.2%
Other values (220) 373
76.9%
CJK Compat Ideographs
ValueCountFrequency (%)
年 9
64.3%
料 2
 
14.3%
了 1
 
7.1%
論 1
 
7.1%
理 1
 
7.1%
Katakana
ValueCountFrequency (%)
エ 5
20.0%
ネ 5
20.0%
ル 5
20.0%
ギ 5
20.0%
デ 1
 
4.0%
タ 1
 
4.0%
ブ 1
 
4.0%
ッ 1
 
4.0%
ク 1
 
4.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 2
33.3%
Ⅲ 1
 
16.7%
Hiragana
ValueCountFrequency (%)
の 2
18.2%
な 1
9.1%
か 1
9.1%
が 1
9.1%
る 1
9.1%
と 1
9.1%
わ 1
9.1%
て 1
9.1%
め 1
9.1%
を 1
9.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

저자명
Text

Distinct3424
Distinct (%)87.3%
Missing6
Missing (%)0.2%
Memory size30.8 KiB
2023-12-12T14:35:57.214735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length52
Mean length12.019378
Min length2

Characters and Unicode

Total characters47140
Distinct characters942
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3175 ?
Unique (%)81.0%

Sample

1st row카이 롬하르트 이영희
2nd row존 브록만 이영기
3rd row고승철
4th row다치바나 다카시 지음 박성관 옮김
5th row김지룡 갈릴레오SNC
ValueCountFrequency (%)
지음 1464
 
12.1%
옮김 963
 
7.9%
글 185
 
1.5%
그림 160
 
1.3%
글·사진 132
 
1.1%
사진 101
 
0.8%
감수 61
 
0.5%
엮음 48
 
0.4%
외 48
 
0.4%
손영운 41
 
0.3%
Other values (5459) 8925
73.6%
2023-12-12T14:35:57.712442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10806
22.9%
김 1830
 
3.9%
지 1754
 
3.7%
음 1607
 
3.4%
이 1162
 
2.5%
옮 984
 
2.1%
스 556
 
1.2%
진 528
 
1.1%
정 508
 
1.1%
, 503
 
1.1%
Other values (932) 26902
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33117
70.3%
Space Separator 10806
 
22.9%
Uppercase Letter 1018
 
2.2%
Lowercase Letter 987
 
2.1%
Other Punctuation 849
 
1.8%
Close Punctuation 180
 
0.4%
Open Punctuation 180
 
0.4%
Other Symbol 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1830
 
5.5%
지 1754
 
5.3%
음 1607
 
4.9%
이 1162
 
3.5%
옮 984
 
3.0%
스 556
 
1.7%
진 528
 
1.6%
정 508
 
1.5%
영 461
 
1.4%
리 420
 
1.3%
Other values (870) 23307
70.4%
Uppercase Letter
ValueCountFrequency (%)
E 157
15.4%
A 108
 
10.6%
N 76
 
7.5%
I 75
 
7.4%
C 64
 
6.3%
O 53
 
5.2%
S 52
 
5.1%
R 51
 
5.0%
K 50
 
4.9%
D 48
 
4.7%
Other values (13) 284
27.9%
Lowercase Letter
ValueCountFrequency (%)
n 146
14.8%
e 115
11.7%
i 102
10.3%
r 86
8.7%
a 67
 
6.8%
s 59
 
6.0%
t 57
 
5.8%
o 54
 
5.5%
h 49
 
5.0%
g 49
 
5.0%
Other values (12) 203
20.6%
Other Punctuation
ValueCountFrequency (%)
, 503
59.2%
. 157
 
18.5%
· 138
 
16.3%
/ 30
 
3.5%
， 18
 
2.1%
． 1
 
0.1%
' 1
 
0.1%
" 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 174
96.7%
) 5
 
2.8%
〉 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
[ 173
96.1%
( 5
 
2.8%
〈 2
 
1.1%
Space Separator
ValueCountFrequency (%)
10806
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32797
69.6%
Common 12018
 
25.5%
Latin 2005
 
4.3%
Han 292
 
0.6%
Katakana 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1830
 
5.6%
지 1754
 
5.3%
음 1607
 
4.9%
이 1162
 
3.5%
옮 984
 
3.0%
스 556
 
1.7%
진 528
 
1.6%
정 508
 
1.5%
영 461
 
1.4%
리 420
 
1.3%
Other values (694) 22987
70.1%
Han
ValueCountFrequency (%)
廳 10
 
3.4%
金 8
 
2.7%
李 7
 
2.4%
計 6
 
2.1%
統 6
 
2.1%
國 6
 
2.1%
韓 6
 
2.1%
硏 5
 
1.7%
究 5
 
1.7%
部 5
 
1.7%
Other values (154) 228
78.1%
Latin
ValueCountFrequency (%)
E 157
 
7.8%
n 146
 
7.3%
e 115
 
5.7%
A 108
 
5.4%
i 102
 
5.1%
r 86
 
4.3%
N 76
 
3.8%
I 75
 
3.7%
a 67
 
3.3%
C 64
 
3.2%
Other values (35) 1009
50.3%
Common
ValueCountFrequency (%)
10806
89.9%
, 503
 
4.2%
] 174
 
1.4%
[ 173
 
1.4%
. 157
 
1.3%
· 138
 
1.1%
/ 30
 
0.2%
， 18
 
0.1%
) 5
 
< 0.1%
( 5
 
< 0.1%
Other values (7) 9
 
0.1%
Katakana
ValueCountFrequency (%)
ギ 5
17.9%
ル 5
17.9%
ネ 5
17.9%
エ 5
17.9%
デ 1
 
3.6%
イ 1
 
3.6%
ア 1
 
3.6%
ラ 1
 
3.6%
ト 1
 
3.6%
ン 1
 
3.6%
Other values (2) 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32796
69.6%
ASCII 13861
29.4%
CJK 281
 
0.6%
None 160
 
0.3%
Katakana 28
 
0.1%
CJK Compat Ideographs 11
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10806
78.0%
, 503
 
3.6%
] 174
 
1.3%
[ 173
 
1.2%
. 157
 
1.1%
E 157
 
1.1%
n 146
 
1.1%
e 115
 
0.8%
A 108
 
0.8%
i 102
 
0.7%
Other values (46) 1420
 
10.2%
Hangul
ValueCountFrequency (%)
김 1830
 
5.6%
지 1754
 
5.3%
음 1607
 
4.9%
이 1162
 
3.5%
옮 984
 
3.0%
스 556
 
1.7%
진 528
 
1.6%
정 508
 
1.5%
영 461
 
1.4%
리 420
 
1.3%
Other values (693) 22986
70.1%
None
ValueCountFrequency (%)
· 138
86.2%
， 18
 
11.2%
〈 2
 
1.2%
． 1
 
0.6%
〉 1
 
0.6%
CJK
ValueCountFrequency (%)
廳 10
 
3.6%
金 8
 
2.8%
計 6
 
2.1%
統 6
 
2.1%
國 6
 
2.1%
韓 6
 
2.1%
硏 5
 
1.8%
究 5
 
1.8%
部 5
 
1.8%
所 5
 
1.8%
Other values (149) 219
77.9%
CJK Compat Ideographs
ValueCountFrequency (%)
李 7
63.6%
金 1
 
9.1%
沈 1
 
9.1%
樂 1
 
9.1%
梁 1
 
9.1%
Katakana
ValueCountFrequency (%)
ギ 5
17.9%
ル 5
17.9%
ネ 5
17.9%
エ 5
17.9%
デ 1
 
3.6%
イ 1
 
3.6%
ア 1
 
3.6%
ラ 1
 
3.6%
ト 1
 
3.6%
ン 1
 
3.6%
Other values (2) 2
 
7.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

발행자
Text

Distinct1054
Distinct (%)26.9%
Missing7
Missing (%)0.2%
Memory size30.8 KiB
2023-12-12T14:35:58.043172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length27
Mean length4.3091048
Min length1

Characters and Unicode

Total characters16896
Distinct characters620
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique619 ?
Unique (%)15.8%

Sample

1st row넥서스
2nd row갤리온
3rd row책만드는집
4th row청어람미디어
5th row애플북스
ValueCountFrequency (%)
살림 414
 
10.2%
대원사 274
 
6.8%
시공사 107
 
2.6%
세기북스 90
 
2.2%
주니어김영사 50
 
1.2%
예림당 48
 
1.2%
위즈덤하우스 42
 
1.0%
oecd 36
 
0.9%
민음사 34
 
0.8%
김영사 33
 
0.8%
Other values (1088) 2923
72.2%
2023-12-12T14:35:58.501071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 969
 
5.7%
스 682
 
4.0%
림 541
 
3.2%
북 419
 
2.5%
살 419
 
2.5%
원 380
 
2.2%
대 332
 
2.0%
이 250
 
1.5%
문 245
 
1.5%
판 237
 
1.4%
Other values (610) 12422
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15218
90.1%
Lowercase Letter 844
 
5.0%
Uppercase Letter 526
 
3.1%
Space Separator 133
 
0.8%
Open Punctuation 68
 
0.4%
Close Punctuation 68
 
0.4%
Other Punctuation 34
 
0.2%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 969
 
6.4%
스 682
 
4.5%
림 541
 
3.6%
북 419
 
2.8%
살 419
 
2.8%
원 380
 
2.5%
대 332
 
2.2%
이 250
 
1.6%
문 245
 
1.6%
판 237
 
1.6%
Other values (550) 10744
70.6%
Lowercase Letter
ValueCountFrequency (%)
n 117
13.9%
i 103
12.2%
e 103
12.2%
o 75
 
8.9%
s 52
 
6.2%
d 48
 
5.7%
r 43
 
5.1%
t 39
 
4.6%
a 31
 
3.7%
h 30
 
3.6%
Other values (13) 203
24.1%
Uppercase Letter
ValueCountFrequency (%)
E 91
17.3%
O 79
15.0%
C 58
11.0%
D 57
10.8%
K 43
8.2%
I 34
 
6.5%
B 32
 
6.1%
A 27
 
5.1%
W 24
 
4.6%
M 18
 
3.4%
Other values (13) 63
12.0%
Other Punctuation
ValueCountFrequency (%)
/ 14
41.2%
& 9
26.5%
. 3
 
8.8%
, 3
 
8.8%
' 2
 
5.9%
． 2
 
5.9%
# 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 67
98.5%
（ 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 67
98.5%
） 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
－ 3
60.0%
- 2
40.0%
Space Separator
ValueCountFrequency (%)
133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14934
88.4%
Latin 1370
 
8.1%
Common 308
 
1.8%
Han 261
 
1.5%
Katakana 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 969
 
6.5%
스 682
 
4.6%
림 541
 
3.6%
북 419
 
2.8%
살 419
 
2.8%
원 380
 
2.5%
대 332
 
2.2%
이 250
 
1.7%
문 245
 
1.6%
판 237
 
1.6%
Other values (452) 10460
70.0%
Han
ValueCountFrequency (%)
社 23
 
8.8%
國 15
 
5.7%
韓 15
 
5.7%
經 13
 
5.0%
究 9
 
3.4%
硏 9
 
3.4%
新 9
 
3.4%
濟 8
 
3.1%
聞 8
 
3.1%
部 8
 
3.1%
Other values (73) 144
55.2%
Latin
ValueCountFrequency (%)
n 117
 
8.5%
i 103
 
7.5%
e 103
 
7.5%
E 91
 
6.6%
O 79
 
5.8%
o 75
 
5.5%
C 58
 
4.2%
D 57
 
4.2%
s 52
 
3.8%
d 48
 
3.5%
Other values (36) 587
42.8%
Katakana
ValueCountFrequency (%)
エ 4
17.4%
ギ 3
13.0%
ル 3
13.0%
ネ 2
 
8.7%
ジ 1
 
4.3%
タ 1
 
4.3%
ュ 1
 
4.3%
ヌ 1
 
4.3%
フ 1
 
4.3%
ォ 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
133
43.2%
( 67
21.8%
) 67
21.8%
/ 14
 
4.5%
& 9
 
2.9%
. 3
 
1.0%
－ 3
 
1.0%
, 3
 
1.0%
' 2
 
0.6%
- 2
 
0.6%
Other values (4) 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14934
88.4%
ASCII 1671
 
9.9%
CJK 261
 
1.5%
Katakana 23
 
0.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 969
 
6.5%
스 682
 
4.6%
림 541
 
3.6%
북 419
 
2.8%
살 419
 
2.8%
원 380
 
2.5%
대 332
 
2.2%
이 250
 
1.7%
문 245
 
1.6%
판 237
 
1.6%
Other values (452) 10460
70.0%
ASCII
ValueCountFrequency (%)
133
 
8.0%
n 117
 
7.0%
i 103
 
6.2%
e 103
 
6.2%
E 91
 
5.4%
O 79
 
4.7%
o 75
 
4.5%
( 67
 
4.0%
) 67
 
4.0%
C 58
 
3.5%
Other values (46) 778
46.6%
CJK
ValueCountFrequency (%)
社 23
 
8.8%
國 15
 
5.7%
韓 15
 
5.7%
經 13
 
5.0%
究 9
 
3.4%
硏 9
 
3.4%
新 9
 
3.4%
濟 8
 
3.1%
聞 8
 
3.1%
部 8
 
3.1%
Other values (73) 144
55.2%
Katakana
ValueCountFrequency (%)
エ 4
17.4%
ギ 3
13.0%
ル 3
13.0%
ネ 2
 
8.7%
ジ 1
 
4.3%
タ 1
 
4.3%
ュ 1
 
4.3%
ヌ 1
 
4.3%
フ 1
 
4.3%
ォ 1
 
4.3%
Other values (5) 5
21.7%
None
ValueCountFrequency (%)
－ 3
42.9%
． 2
28.6%
（ 1
 
14.3%
） 1
 
14.3%

발행년
Real number (ℝ)

Distinct27
Distinct (%)0.7%
Missing9
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2008.5558
Minimum1990
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2023-12-12T14:35:58.632086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile1996
Q12006
median2010
Q32013
95-th percentile2015
Maximum2016
Range26
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3763792
Coefficient of variation (CV)0.0026767389
Kurtosis1.0095146
Mean2008.5558
Median Absolute Deviation (MAD)3
Skewness-1.1583412
Sum7871530
Variance28.905454
MonotonicityNot monotonic
2023-12-12T14:35:58.744452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2013 454
11.6%
2012 374
9.5%
2011 361
 
9.2%
2014 333
 
8.5%
2007 283
 
7.2%
2008 279
 
7.1%
2009 267
 
6.8%
2015 252
 
6.4%
2010 233
 
5.9%
2006 154
 
3.9%
Other values (17) 929
23.7%
ValueCountFrequency (%)
1990 13
 
0.3%
1991 14
 
0.4%
1992 9
 
0.2%
1993 24
0.6%
1994 49
1.2%
1995 51
1.3%
1996 49
1.2%
1997 41
1.0%
1998 21
0.5%
1999 24
0.6%
ValueCountFrequency (%)
2016 23
 
0.6%
2015 252
6.4%
2014 333
8.5%
2013 454
11.6%
2012 374
9.5%
2011 361
9.2%
2010 233
5.9%
2009 267
6.8%
2008 279
7.1%
2007 283
7.2%

Interactions

2023-12-12T14:35:55.736748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T14:35:55.846226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:35:55.933481image/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.
2023-12-12T14:35:56.043744image/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

도서명저자명발행자발행년
0지식형인간카이 롬하르트 이영희넥서스2003
1위험한 생각들 당대 최고의 석학 명에게 물었다존 브록만 이영기갤리온2007
2CEO 인문학 역사 문학 철학 종교 예술로 배우는 세기 인문 경영고승철책만드는집2009
3지식의 단련법 다치바나 식 지적 생산의 기술다치바나 다카시 지음 박성관 옮김청어람미디어2009
4사물의 민낯 ~ very important historic objects 잡동사니로 보는 유쾌한 사물들의 인류학김지룡 갈릴레오SNC애플북스2012
5학문의 진화 학문 개념의 변화와 새로운 형이상학박승억 지음글항아리2015
6상상력과 지식의 도약김상환 박영선 장태순 [공]엮음이학사2015
7I wonder why tree have leavesKingfisherKingfisher2011
8I wonder why Lemons Taste SourKingfisherKingfisher2011
9I wonder why Pine Trees have needlesKingfisherKingfisher2011
도서명저자명발행자발행년
3918이승만과 한미외교한표욱중앙일보사2013
3919한반도 평화를 위하여심재권한울2014
3920한국 통일과 주변 국의 겉과속 미ㆍ중ㆍ일ㆍ러의 이중적 태도 분석문태성건국대학교출판부1999
3921변화속의 안정새로운 한．미 관계의 모색Lake .W Anthony세계경제연구원1999
3922타깃 차이나 미국이 도전세력을 제압하는 가지 전략F. 윌리엄 ,엥달 유마디 옮김메디치미디어2006
3923제국안토니오 네그리 마이클 하트 윤수종이학사1995
3924첨단전쟁 걸프전쟁과 첨단무기이남규朝鮮日報社2007
3925勝者學왜 지도자에게는 이교도의 정신이 필요한가로버트D.카플린 이재규생각의 나무2007
3926국제관계와 윤리 이론과 실제앤드류 밸스 김한식국방대학원 안보문제연구소2010
3927세계는 지금 어디로 가고 있나이케가미 아키라 민성원종문화사2010