Overview

Dataset statistics

Number of variables5
Number of observations2819
Missing cells226
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory113.0 KiB
Average record size in memory41.0 B

Variable types

Text4
Numeric1

Dataset

Description한국공예디자인문화진흥원 아카이브 센터에 등록된 도서 정보 데이터로 등록번호,제목, 저자, 발행처, 발행연도 항목을 제공합니다.
Author한국공예디자인문화진흥원
URLhttps://www.data.go.kr/data/15072432/fileData.do

Alerts

저자 has 135 (4.8%) missing valuesMissing
발행연도 has 69 (2.4%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:57:49.976402
Analysis finished2023-12-12 12:57:51.667988
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct2819
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
2023-12-12T21:57:51.876463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters36647
Distinct characters11
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

Unique2819 ?
Unique (%)100.0%

Sample

1st row20160326_0003
2nd row20160326_0004
3rd row20170915_0001
4th row20171012_0001
5th row20171012_0002
ValueCountFrequency (%)
20160326_0003 1
 
< 0.1%
20121004_0004 1
 
< 0.1%
20141105_0003 1
 
< 0.1%
20141104_0002 1
 
< 0.1%
20141104_0003 1
 
< 0.1%
20141104_0004 1
 
< 0.1%
20141104_0005 1
 
< 0.1%
20141104_0006 1
 
< 0.1%
20141104_0007 1
 
< 0.1%
20141105_0001 1
 
< 0.1%
Other values (2809) 2809
99.6%
2023-12-12T21:57:52.632966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14847
40.5%
1 6052
16.5%
2 5467
 
14.9%
_ 2819
 
7.7%
3 1548
 
4.2%
4 1375
 
3.8%
5 1136
 
3.1%
6 962
 
2.6%
7 899
 
2.5%
8 777
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33828
92.3%
Connector Punctuation 2819
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14847
43.9%
1 6052
17.9%
2 5467
 
16.2%
3 1548
 
4.6%
4 1375
 
4.1%
5 1136
 
3.4%
6 962
 
2.8%
7 899
 
2.7%
8 777
 
2.3%
9 765
 
2.3%
Connector Punctuation
ValueCountFrequency (%)
_ 2819
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36647
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14847
40.5%
1 6052
16.5%
2 5467
 
14.9%
_ 2819
 
7.7%
3 1548
 
4.2%
4 1375
 
3.8%
5 1136
 
3.1%
6 962
 
2.6%
7 899
 
2.5%
8 777
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14847
40.5%
1 6052
16.5%
2 5467
 
14.9%
_ 2819
 
7.7%
3 1548
 
4.2%
4 1375
 
3.8%
5 1136
 
3.1%
6 962
 
2.6%
7 899
 
2.5%
8 777
 
2.1%

제목
Text

Distinct2550
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
2023-12-12T21:57:52.988939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length67
Mean length15.633203
Min length1

Characters and Unicode

Total characters44070
Distinct characters1106
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2409 ?
Unique (%)85.5%

Sample

1st row상징의 미학
2nd row글짜씨
3rd rowConstancy and change in Korean traditional craft 2017
4th row밝은 방
5th row텍스트의 즐거움
ValueCountFrequency (%)
the 148
 
1.7%
135
 
1.5%
디자인 131
 
1.5%
design 120
 
1.3%
of 113
 
1.3%
연구 65
 
0.7%
in 64
 
0.7%
and 59
 
0.7%
craft 58
 
0.7%
미술 55
 
0.6%
Other values (4332) 7951
89.3%
2023-12-12T21:57:53.534445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6293
 
14.3%
e 1812
 
4.1%
a 1426
 
3.2%
i 1316
 
3.0%
r 1281
 
2.9%
n 1260
 
2.9%
t 1224
 
2.8%
o 1098
 
2.5%
s 933
 
2.1%
l 631
 
1.4%
Other values (1096) 26796
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18841
42.8%
Lowercase Letter 15354
34.8%
Space Separator 6293
 
14.3%
Uppercase Letter 1688
 
3.8%
Decimal Number 1102
 
2.5%
Other Punctuation 398
 
0.9%
Close Punctuation 135
 
0.3%
Open Punctuation 135
 
0.3%
Math Symbol 78
 
0.2%
Dash Punctuation 40
 
0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
481
 
2.6%
467
 
2.5%
448
 
2.4%
438
 
2.3%
375
 
2.0%
372
 
2.0%
353
 
1.9%
308
 
1.6%
286
 
1.5%
269
 
1.4%
Other values (1001) 15044
79.8%
Lowercase Letter
ValueCountFrequency (%)
e 1812
11.8%
a 1426
 
9.3%
i 1316
 
8.6%
r 1281
 
8.3%
n 1260
 
8.2%
t 1224
 
8.0%
o 1098
 
7.2%
s 933
 
6.1%
l 631
 
4.1%
d 528
 
3.4%
Other values (17) 3845
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 183
 
10.8%
T 179
 
10.6%
A 137
 
8.1%
D 120
 
7.1%
M 107
 
6.3%
S 104
 
6.2%
K 75
 
4.4%
B 71
 
4.2%
P 70
 
4.1%
H 66
 
3.9%
Other values (16) 576
34.1%
Other Punctuation
ValueCountFrequency (%)
, 130
32.7%
: 113
28.4%
& 56
14.1%
. 25
 
6.3%
' 16
 
4.0%
! 13
 
3.3%
? 13
 
3.3%
/ 12
 
3.0%
% 5
 
1.3%
" 4
 
1.0%
Other values (5) 11
 
2.8%
Decimal Number
ValueCountFrequency (%)
0 336
30.5%
2 248
22.5%
1 247
22.4%
5 59
 
5.4%
3 48
 
4.4%
4 45
 
4.1%
9 39
 
3.5%
7 29
 
2.6%
8 26
 
2.4%
6 25
 
2.3%
Math Symbol
ValueCountFrequency (%)
= 56
71.8%
+ 13
 
16.7%
> 4
 
5.1%
< 4
 
5.1%
~ 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 37
92.5%
2
 
5.0%
1
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 132
97.8%
3
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 132
97.8%
3
 
2.2%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
6293
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18177
41.2%
Latin 17044
38.7%
Common 8185
18.6%
Han 541
 
1.2%
Hiragana 91
 
0.2%
Katakana 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
481
 
2.6%
467
 
2.6%
448
 
2.5%
438
 
2.4%
375
 
2.1%
372
 
2.0%
353
 
1.9%
308
 
1.7%
286
 
1.6%
269
 
1.5%
Other values (696) 14380
79.1%
Han
ValueCountFrequency (%)
28
 
5.2%
26
 
4.8%
13
 
2.4%
13
 
2.4%
12
 
2.2%
12
 
2.2%
11
 
2.0%
10
 
1.8%
9
 
1.7%
7
 
1.3%
Other values (234) 400
73.9%
Latin
ValueCountFrequency (%)
e 1812
 
10.6%
a 1426
 
8.4%
i 1316
 
7.7%
r 1281
 
7.5%
n 1260
 
7.4%
t 1224
 
7.2%
o 1098
 
6.4%
s 933
 
5.5%
l 631
 
3.7%
d 528
 
3.1%
Other values (45) 5535
32.5%
Common
ValueCountFrequency (%)
6293
76.9%
0 336
 
4.1%
2 248
 
3.0%
1 247
 
3.0%
) 132
 
1.6%
( 132
 
1.6%
, 130
 
1.6%
: 113
 
1.4%
5 59
 
0.7%
& 56
 
0.7%
Other values (30) 439
 
5.4%
Hiragana
ValueCountFrequency (%)
14
 
15.4%
6
 
6.6%
6
 
6.6%
5
 
5.5%
5
 
5.5%
4
 
4.4%
4
 
4.4%
3
 
3.3%
3
 
3.3%
3
 
3.3%
Other values (24) 38
41.8%
Katakana
ValueCountFrequency (%)
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Other values (17) 17
53.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25209
57.2%
Hangul 18177
41.2%
CJK 534
 
1.2%
Hiragana 91
 
0.2%
Katakana 32
 
0.1%
None 14
 
< 0.1%
CJK Compat Ideographs 7
 
< 0.1%
Punctuation 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6293
25.0%
e 1812
 
7.2%
a 1426
 
5.7%
i 1316
 
5.2%
r 1281
 
5.1%
n 1260
 
5.0%
t 1224
 
4.9%
o 1098
 
4.4%
s 933
 
3.7%
l 631
 
2.5%
Other values (74) 7935
31.5%
Hangul
ValueCountFrequency (%)
481
 
2.6%
467
 
2.6%
448
 
2.5%
438
 
2.4%
375
 
2.1%
372
 
2.0%
353
 
1.9%
308
 
1.7%
286
 
1.6%
269
 
1.5%
Other values (696) 14380
79.1%
CJK
ValueCountFrequency (%)
28
 
5.2%
26
 
4.9%
13
 
2.4%
13
 
2.4%
12
 
2.2%
12
 
2.2%
11
 
2.1%
10
 
1.9%
9
 
1.7%
7
 
1.3%
Other values (228) 393
73.6%
Hiragana
ValueCountFrequency (%)
14
 
15.4%
6
 
6.6%
6
 
6.6%
5
 
5.5%
5
 
5.5%
4
 
4.4%
4
 
4.4%
3
 
3.3%
3
 
3.3%
3
 
3.3%
Other values (24) 38
41.8%
None
ValueCountFrequency (%)
· 4
28.6%
3
21.4%
3
21.4%
đ 2
14.3%
1
 
7.1%
1
 
7.1%
Katakana
ValueCountFrequency (%)
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Other values (17) 17
53.1%
CJK Compat Ideographs
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

저자
Text

MISSING 

Distinct1668
Distinct (%)62.1%
Missing135
Missing (%)4.8%
Memory size22.2 KiB
2023-12-12T21:57:54.024208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length58
Mean length9.8129657
Min length2

Characters and Unicode

Total characters26338
Distinct characters675
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1419 ?
Unique (%)52.9%

Sample

1st row오타베 다네히사
2nd row한국타이포그라피학회
3rd row한국공예디자인문화진흥원
4th row롤랑 바르트
5th row롤랑 바르트
ValueCountFrequency (%)
한국공예디자인문화진흥원 338
 
7.7%
design 56
 
1.3%
지음 46
 
1.0%
國立臺灣工藝 42
 
1.0%
craft 40
 
0.9%
museum 40
 
0.9%
of 38
 
0.9%
究發展中心 37
 
0.8%
37
 
0.8%
한국도자재단 34
 
0.8%
Other values (2337) 3680
83.9%
2023-12-12T21:57:54.629584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1710
 
6.5%
e 1098
 
4.2%
a 1065
 
4.0%
n 927
 
3.5%
r 776
 
2.9%
i 759
 
2.9%
o 710
 
2.7%
604
 
2.3%
t 590
 
2.2%
l 577
 
2.2%
Other values (665) 17522
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13185
50.1%
Lowercase Letter 9356
35.5%
Uppercase Letter 1778
 
6.8%
Space Separator 1710
 
6.5%
Other Punctuation 190
 
0.7%
Math Symbol 51
 
0.2%
Dash Punctuation 24
 
0.1%
Open Punctuation 20
 
0.1%
Close Punctuation 18
 
0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
604
 
4.6%
557
 
4.2%
498
 
3.8%
494
 
3.7%
458
 
3.5%
435
 
3.3%
433
 
3.3%
424
 
3.2%
424
 
3.2%
419
 
3.2%
Other values (596) 8439
64.0%
Lowercase Letter
ValueCountFrequency (%)
e 1098
11.7%
a 1065
11.4%
n 927
9.9%
r 776
 
8.3%
i 759
 
8.1%
o 710
 
7.6%
t 590
 
6.3%
l 577
 
6.2%
s 503
 
5.4%
u 366
 
3.9%
Other values (16) 1985
21.2%
Uppercase Letter
ValueCountFrequency (%)
A 153
 
8.6%
C 145
 
8.2%
M 132
 
7.4%
D 114
 
6.4%
K 111
 
6.2%
B 101
 
5.7%
S 100
 
5.6%
F 90
 
5.1%
J 87
 
4.9%
R 86
 
4.8%
Other values (16) 659
37.1%
Other Punctuation
ValueCountFrequency (%)
. 55
28.9%
, 55
28.9%
& 39
20.5%
; 25
13.2%
' 9
 
4.7%
: 4
 
2.1%
· 3
 
1.6%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
8 2
33.3%
2 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 13
65.0%
[ 7
35.0%
Close Punctuation
ValueCountFrequency (%)
) 13
72.2%
] 5
 
27.8%
Space Separator
ValueCountFrequency (%)
1710
100.0%
Math Symbol
ValueCountFrequency (%)
| 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12541
47.6%
Latin 11134
42.3%
Common 2019
 
7.7%
Han 624
 
2.4%
Katakana 16
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
604
 
4.8%
557
 
4.4%
498
 
4.0%
494
 
3.9%
458
 
3.7%
435
 
3.5%
433
 
3.5%
424
 
3.4%
424
 
3.4%
419
 
3.3%
Other values (466) 7795
62.2%
Han
ValueCountFrequency (%)
47
 
7.5%
46
 
7.4%
46
 
7.4%
46
 
7.4%
46
 
7.4%
46
 
7.4%
43
 
6.9%
41
 
6.6%
40
 
6.4%
40
 
6.4%
Other values (102) 183
29.3%
Latin
ValueCountFrequency (%)
e 1098
 
9.9%
a 1065
 
9.6%
n 927
 
8.3%
r 776
 
7.0%
i 759
 
6.8%
o 710
 
6.4%
t 590
 
5.3%
l 577
 
5.2%
s 503
 
4.5%
u 366
 
3.3%
Other values (42) 3763
33.8%
Common
ValueCountFrequency (%)
1710
84.7%
. 55
 
2.7%
, 55
 
2.7%
| 51
 
2.5%
& 39
 
1.9%
; 25
 
1.2%
- 24
 
1.2%
( 13
 
0.6%
) 13
 
0.6%
' 9
 
0.4%
Other values (7) 25
 
1.2%
Katakana
ValueCountFrequency (%)
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (4) 4
25.0%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13150
49.9%
Hangul 12541
47.6%
CJK 622
 
2.4%
Katakana 16
 
0.1%
Hiragana 4
 
< 0.1%
None 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1710
 
13.0%
e 1098
 
8.3%
a 1065
 
8.1%
n 927
 
7.0%
r 776
 
5.9%
i 759
 
5.8%
o 710
 
5.4%
t 590
 
4.5%
l 577
 
4.4%
s 503
 
3.8%
Other values (58) 4435
33.7%
Hangul
ValueCountFrequency (%)
604
 
4.8%
557
 
4.4%
498
 
4.0%
494
 
3.9%
458
 
3.7%
435
 
3.5%
433
 
3.5%
424
 
3.4%
424
 
3.4%
419
 
3.3%
Other values (466) 7795
62.2%
CJK
ValueCountFrequency (%)
47
 
7.6%
46
 
7.4%
46
 
7.4%
46
 
7.4%
46
 
7.4%
46
 
7.4%
43
 
6.9%
41
 
6.6%
40
 
6.4%
40
 
6.4%
Other values (100) 181
29.1%
None
ValueCountFrequency (%)
· 3
100.0%
Katakana
ValueCountFrequency (%)
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (4) 4
25.0%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1121
Distinct (%)40.1%
Missing22
Missing (%)0.8%
Memory size22.2 KiB
2023-12-12T21:57:55.184688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length39
Mean length9.3728995
Min length1

Characters and Unicode

Total characters26216
Distinct characters549
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique784 ?
Unique (%)28.0%

Sample

1st row돌베개
2nd row안그라픽스
3rd row한국공예디자인문화진흥원
4th row東文選
5th row東文選
ValueCountFrequency (%)
한국공예디자인문화진흥원 340
 
8.6%
78
 
2.0%
안그라픽스 76
 
1.9%
of 69
 
1.7%
design 67
 
1.7%
museum 50
 
1.3%
press 49
 
1.2%
craft 44
 
1.1%
國立臺灣工藝 43
 
1.1%
디자인하우스 43
 
1.1%
Other values (1189) 3091
78.3%
2023-12-12T21:57:55.809019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1157
 
4.4%
e 1064
 
4.1%
s 857
 
3.3%
a 850
 
3.2%
o 817
 
3.1%
r 787
 
3.0%
i 763
 
2.9%
n 749
 
2.9%
622
 
2.4%
t 608
 
2.3%
Other values (539) 17942
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13464
51.4%
Lowercase Letter 9837
37.5%
Uppercase Letter 1556
 
5.9%
Space Separator 1157
 
4.4%
Other Punctuation 152
 
0.6%
Decimal Number 24
 
0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Math Symbol 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
622
 
4.6%
587
 
4.4%
571
 
4.2%
548
 
4.1%
519
 
3.9%
490
 
3.6%
473
 
3.5%
465
 
3.5%
455
 
3.4%
454
 
3.4%
Other values (469) 8280
61.5%
Lowercase Letter
ValueCountFrequency (%)
e 1064
10.8%
s 857
 
8.7%
a 850
 
8.6%
o 817
 
8.3%
r 787
 
8.0%
i 763
 
7.8%
n 749
 
7.6%
t 608
 
6.2%
l 514
 
5.2%
u 478
 
4.9%
Other values (16) 2350
23.9%
Uppercase Letter
ValueCountFrequency (%)
A 157
 
10.1%
C 130
 
8.4%
P 119
 
7.6%
M 100
 
6.4%
T 99
 
6.4%
B 90
 
5.8%
S 85
 
5.5%
D 84
 
5.4%
H 80
 
5.1%
G 78
 
5.0%
Other values (16) 534
34.3%
Other Punctuation
ValueCountFrequency (%)
& 114
75.0%
. 15
 
9.9%
' 13
 
8.6%
; 6
 
3.9%
, 3
 
2.0%
: 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 7
29.2%
1 6
25.0%
8 4
16.7%
0 3
12.5%
4 3
12.5%
9 1
 
4.2%
Space Separator
ValueCountFrequency (%)
1157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12762
48.7%
Latin 11393
43.5%
Common 1358
 
5.2%
Han 676
 
2.6%
Katakana 24
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
622
 
4.9%
587
 
4.6%
571
 
4.5%
548
 
4.3%
519
 
4.1%
490
 
3.8%
473
 
3.7%
465
 
3.6%
455
 
3.6%
454
 
3.6%
Other values (399) 7578
59.4%
Latin
ValueCountFrequency (%)
e 1064
 
9.3%
s 857
 
7.5%
a 850
 
7.5%
o 817
 
7.2%
r 787
 
6.9%
i 763
 
6.7%
n 749
 
6.6%
t 608
 
5.3%
l 514
 
4.5%
u 478
 
4.2%
Other values (42) 3906
34.3%
Han
ValueCountFrequency (%)
52
 
7.7%
51
 
7.5%
51
 
7.5%
51
 
7.5%
51
 
7.5%
51
 
7.5%
49
 
7.2%
47
 
7.0%
45
 
6.7%
45
 
6.7%
Other values (40) 183
27.1%
Katakana
ValueCountFrequency (%)
4
16.7%
3
 
12.5%
2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (8) 8
33.3%
Common
ValueCountFrequency (%)
1157
85.2%
& 114
 
8.4%
. 15
 
1.1%
' 13
 
1.0%
) 9
 
0.7%
( 9
 
0.7%
2 7
 
0.5%
; 6
 
0.4%
1 6
 
0.4%
8 4
 
0.3%
Other values (7) 18
 
1.3%
Hiragana
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12761
48.7%
ASCII 12751
48.6%
CJK 675
 
2.6%
Katakana 24
 
0.1%
Hiragana 3
 
< 0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1157
 
9.1%
e 1064
 
8.3%
s 857
 
6.7%
a 850
 
6.7%
o 817
 
6.4%
r 787
 
6.2%
i 763
 
6.0%
n 749
 
5.9%
t 608
 
4.8%
l 514
 
4.0%
Other values (59) 4585
36.0%
Hangul
ValueCountFrequency (%)
622
 
4.9%
587
 
4.6%
571
 
4.5%
548
 
4.3%
519
 
4.1%
490
 
3.8%
473
 
3.7%
465
 
3.6%
455
 
3.6%
454
 
3.6%
Other values (398) 7577
59.4%
CJK
ValueCountFrequency (%)
52
 
7.7%
51
 
7.6%
51
 
7.6%
51
 
7.6%
51
 
7.6%
51
 
7.6%
49
 
7.3%
47
 
7.0%
45
 
6.7%
45
 
6.7%
Other values (39) 182
27.0%
Katakana
ValueCountFrequency (%)
4
16.7%
3
 
12.5%
2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (8) 8
33.3%
None
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

발행연도
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)1.5%
Missing69
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2012.4945
Minimum1955
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.9 KiB
2023-12-12T21:57:55.971908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1955
5-th percentile2003
Q12010
median2013
Q32016
95-th percentile2019
Maximum2021
Range66
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1312854
Coefficient of variation (CV)0.002549714
Kurtosis16.24176
Mean2012.4945
Median Absolute Deviation (MAD)3
Skewness-2.5693252
Sum5534360
Variance26.33009
MonotonicityNot monotonic
2023-12-12T21:57:56.115166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2013 348
12.3%
2012 338
12.0%
2014 258
9.2%
2015 220
7.8%
2010 216
 
7.7%
2017 208
 
7.4%
2011 189
 
6.7%
2016 184
 
6.5%
2019 133
 
4.7%
2008 107
 
3.8%
Other values (31) 549
19.5%
ValueCountFrequency (%)
1955 1
 
< 0.1%
1959 1
 
< 0.1%
1975 3
0.1%
1981 1
 
< 0.1%
1983 1
 
< 0.1%
1986 2
 
0.1%
1987 1
 
< 0.1%
1988 1
 
< 0.1%
1989 6
0.2%
1990 3
0.1%
ValueCountFrequency (%)
2021 14
 
0.5%
2020 73
 
2.6%
2019 133
 
4.7%
2018 93
 
3.3%
2017 208
7.4%
2016 184
6.5%
2015 220
7.8%
2014 258
9.2%
2013 348
12.3%
2012 338
12.0%

Interactions

2023-12-12T21:57:51.224868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:57:51.374333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:57:51.470122image/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.
2023-12-12T21:57:51.599350image/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

등록번호제목저자발행처발행연도
020160326_0003상징의 미학오타베 다네히사돌베개2015
120160326_0004글짜씨한국타이포그라피학회안그라픽스2015
220170915_0001Constancy and change in Korean traditional craft 2017한국공예디자인문화진흥원한국공예디자인문화진흥원2017
320171012_0001밝은 방롤랑 바르트東文選2006
420171012_0002텍스트의 즐거움롤랑 바르트東文選2002
520171012_0003팹랩과 팹시티김윤호한국학술정보2017
620171012_0004기술과 디자인스티븐 헬러퓨처미디어2017
720171014_0001카림 라시드카림 라시드웅진씽크빅2017
820171014_0002On collectingNorwegian CraftsArnoldsche2017
920171014_00033D technology in fine art and craftBridgette MongeonFocal Press2016
등록번호제목저자발행처발행연도
280920130716_0007Universal designEdward SteinfeldJohn Wiley2012
281020130717_0001Out of the bagMuseum fur Gestaltung ZurichMuseum fur Gestaltung Zurich2012
281120140716_0002재료 기법 중심의 아동미술김택훈양서원2004
281220140725_0009年收150万円で僕らは自由に生きていくイケダハヤト星海社2012
281320140725_0010フリ―ランスの敎科書見田村元宣星海社2012
281420140730_0001面接ではウソをつけ菊原智明星海社2011
281520140730_0002「 やめること」からはじめなさい千田琢哉星海社2011
281620140730_0003식탁 위의 한국사주영하휴머니스트2013
281720140731_00011913년 세기의 여름플로리안 일리스문학동네2013
281820140731_0002나는 클림트를 보면 베토벤이 들린다권순훤쌤앤파커스2014