Overview

Dataset statistics

Number of variables7
Number of observations8609
Missing cells8609
Missing cells (%)14.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory487.7 KiB
Average record size in memory58.0 B

Variable types

Text4
Numeric1
Categorical1
Unsupported1

Dataset

Description남해군 화전도서관, 탈공연예술촌 도서보유 현황을 공개합니다. 등록번호, 서명, 저작자, 발행자, 발행년, 보유장소를 포함한 정보입니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3063221

Alerts

보유장소 has constant value ""Constant
Unnamed: 6 has 8609 (100.0%) missing valuesMissing
등록번호 has unique valuesUnique
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 00:25:34.472881
Analysis finished2023-12-11 00:25:36.195546
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct8609
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-11T09:25:36.324281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters103308
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8609 ?
Unique (%)100.0%

Sample

1st rowEM0000050000
2nd rowEM0000050001
3rd rowEM0000050002
4th rowEM0000050004
5th rowEM0000050005
ValueCountFrequency (%)
em0000050000 1
 
< 0.1%
em0000056578 1
 
< 0.1%
em0000056592 1
 
< 0.1%
em0000056591 1
 
< 0.1%
em0000056590 1
 
< 0.1%
em0000056589 1
 
< 0.1%
em0000056588 1
 
< 0.1%
em0000056587 1
 
< 0.1%
em0000056586 1
 
< 0.1%
em0000056585 1
 
< 0.1%
Other values (8599) 8599
99.9%
2023-12-11T09:25:36.618238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46387
44.9%
5 12079
 
11.7%
E 8609
 
8.3%
M 8609
 
8.3%
1 3511
 
3.4%
7 3499
 
3.4%
6 3491
 
3.4%
4 3475
 
3.4%
2 3450
 
3.3%
3 3410
 
3.3%
Other values (2) 6788
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86090
83.3%
Uppercase Letter 17218
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46387
53.9%
5 12079
 
14.0%
1 3511
 
4.1%
7 3499
 
4.1%
6 3491
 
4.1%
4 3475
 
4.0%
2 3450
 
4.0%
3 3410
 
4.0%
8 3410
 
4.0%
9 3378
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
E 8609
50.0%
M 8609
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86090
83.3%
Latin 17218
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46387
53.9%
5 12079
 
14.0%
1 3511
 
4.1%
7 3499
 
4.1%
6 3491
 
4.1%
4 3475
 
4.0%
2 3450
 
4.0%
3 3410
 
4.0%
8 3410
 
4.0%
9 3378
 
3.9%
Latin
ValueCountFrequency (%)
E 8609
50.0%
M 8609
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46387
44.9%
5 12079
 
11.7%
E 8609
 
8.3%
M 8609
 
8.3%
1 3511
 
3.4%
7 3499
 
3.4%
6 3491
 
3.4%
4 3475
 
3.4%
2 3450
 
3.3%
3 3410
 
3.3%
Other values (2) 6788
 
6.6%

서명
Text

Distinct8217
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-11T09:25:36.911558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length70
Mean length19.539319
Min length1

Characters and Unicode

Total characters168214
Distinct characters1411
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7878 ?
Unique (%)91.5%

Sample

1st row차의 지구사
2nd row주식투자 532법칙으로 손실계좌 복구하기 : 잃어버린 원금 되찾는 맞춤형 투자전략
3rd row지정학에 관한 모든 것 : 지정학으로 바라본 1945년부터 오늘날까지의 국제관계
4th row중국버블 붕괴가 시작됐다
5th row지독하게 매달려라 : 절망세대의 희망 프로젝트
ValueCountFrequency (%)
3584
 
7.8%
이야기 331
 
0.7%
장편소설 263
 
0.6%
위한 247
 
0.5%
우리 217
 
0.5%
내 203
 
0.4%
나는 165
 
0.4%
어떻게 120
 
0.3%
1 120
 
0.3%
한 114
 
0.2%
Other values (17657) 40514
88.3%
2023-12-11T09:25:37.317657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40012
 
23.8%
: 3459
 
2.1%
이 3244
 
1.9%
의 3134
 
1.9%
는 2796
 
1.7%
가 1884
 
1.1%
기 1875
 
1.1%
아 1607
 
1.0%
리 1580
 
0.9%
한 1570
 
0.9%
Other values (1401) 107053
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113720
67.6%
Space Separator 40012
 
23.8%
Other Punctuation 5570
 
3.3%
Lowercase Letter 3325
 
2.0%
Decimal Number 2244
 
1.3%
Close Punctuation 1181
 
0.7%
Open Punctuation 1179
 
0.7%
Uppercase Letter 729
 
0.4%
Math Symbol 186
 
0.1%
Dash Punctuation 51
 
< 0.1%
Other values (4) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3244
 
2.9%
의 3134
 
2.8%
는 2796
 
2.5%
가 1884
 
1.7%
기 1875
 
1.6%
아 1607
 
1.4%
리 1580
 
1.4%
한 1570
 
1.4%
지 1530
 
1.3%
사 1370
 
1.2%
Other values (1296) 93130
81.9%
Lowercase Letter
ValueCountFrequency (%)
o 398
12.0%
e 333
 
10.0%
i 247
 
7.4%
h 241
 
7.2%
a 215
 
6.5%
n 214
 
6.4%
r 195
 
5.9%
t 189
 
5.7%
s 178
 
5.4%
l 176
 
5.3%
Other values (16) 939
28.2%
Uppercase Letter
ValueCountFrequency (%)
W 122
16.7%
I 55
 
7.5%
T 43
 
5.9%
B 42
 
5.8%
A 39
 
5.3%
R 38
 
5.2%
E 38
 
5.2%
S 34
 
4.7%
M 32
 
4.4%
D 28
 
3.8%
Other values (16) 258
35.4%
Other Punctuation
ValueCountFrequency (%)
: 3459
62.1%
? 633
 
11.4%
! 624
 
11.2%
. 532
 
9.6%
· 131
 
2.4%
' 115
 
2.1%
& 27
 
0.5%
; 18
 
0.3%
% 12
 
0.2%
/ 8
 
0.1%
Other values (4) 11
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 629
28.0%
0 472
21.0%
2 306
13.6%
3 194
 
8.6%
5 180
 
8.0%
4 121
 
5.4%
7 100
 
4.5%
6 93
 
4.1%
8 82
 
3.7%
9 67
 
3.0%
Math Symbol
ValueCountFrequency (%)
= 126
67.7%
~ 23
 
12.4%
| 12
 
6.5%
+ 11
 
5.9%
< 4
 
2.2%
> 4
 
2.2%
｜ 3
 
1.6%
× 2
 
1.1%
∼ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 1105
93.6%
] 64
 
5.4%
」 5
 
0.4%
》 4
 
0.3%
』 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1103
93.6%
[ 64
 
5.4%
「 5
 
0.4%
《 4
 
0.3%
『 3
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 3
37.5%
Ⅲ 1
 
12.5%
Other Symbol
ValueCountFrequency (%)
★ 4
66.7%
° 1
 
16.7%
℃ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
40012
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113629
67.6%
Common 50432
30.0%
Latin 4062
 
2.4%
Han 91
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3244
 
2.9%
의 3134
 
2.8%
는 2796
 
2.5%
가 1884
 
1.7%
기 1875
 
1.7%
아 1607
 
1.4%
리 1580
 
1.4%
한 1570
 
1.4%
지 1530
 
1.3%
사 1370
 
1.2%
Other values (1249) 93039
81.9%
Latin
ValueCountFrequency (%)
o 398
 
9.8%
e 333
 
8.2%
i 247
 
6.1%
h 241
 
5.9%
a 215
 
5.3%
n 214
 
5.3%
r 195
 
4.8%
t 189
 
4.7%
s 178
 
4.4%
l 176
 
4.3%
Other values (45) 1676
41.3%
Common
ValueCountFrequency (%)
40012
79.3%
: 3459
 
6.9%
) 1105
 
2.2%
( 1103
 
2.2%
? 633
 
1.3%
1 629
 
1.2%
! 624
 
1.2%
. 532
 
1.1%
0 472
 
0.9%
2 306
 
0.6%
Other values (40) 1557
 
3.1%
Han
ValueCountFrequency (%)
日 8
 
8.8%
國 6
 
6.6%
手 6
 
6.6%
本 6
 
6.6%
語 6
 
6.6%
下 4
 
4.4%
上 4
 
4.4%
級 4
 
4.4%
中 4
 
4.4%
神 3
 
3.3%
Other values (37) 40
44.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113610
67.5%
ASCII 54311
32.3%
None 164
 
0.1%
CJK 89
 
0.1%
Compat Jamo 19
 
< 0.1%
Number Forms 8
 
< 0.1%
Punctuation 5
 
< 0.1%
Misc Symbols 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40012
73.7%
: 3459
 
6.4%
) 1105
 
2.0%
( 1103
 
2.0%
? 633
 
1.2%
1 629
 
1.2%
! 624
 
1.1%
. 532
 
1.0%
0 472
 
0.9%
o 398
 
0.7%
Other values (76) 5344
 
9.8%
Hangul
ValueCountFrequency (%)
이 3244
 
2.9%
의 3134
 
2.8%
는 2796
 
2.5%
가 1884
 
1.7%
기 1875
 
1.7%
아 1607
 
1.4%
리 1580
 
1.4%
한 1570
 
1.4%
지 1530
 
1.3%
사 1370
 
1.2%
Other values (1245) 93020
81.9%
None
ValueCountFrequency (%)
· 131
79.9%
「 5
 
3.0%
」 5
 
3.0%
《 4
 
2.4%
》 4
 
2.4%
『 3
 
1.8%
』 3
 
1.8%
｜ 3
 
1.8%
× 2
 
1.2%
？ 2
 
1.2%
Other values (2) 2
 
1.2%
CJK
ValueCountFrequency (%)
日 8
 
9.0%
國 6
 
6.7%
手 6
 
6.7%
本 6
 
6.7%
語 6
 
6.7%
下 4
 
4.5%
上 4
 
4.5%
級 4
 
4.5%
中 4
 
4.5%
神 3
 
3.4%
Other values (36) 38
42.7%
Compat Jamo
ValueCountFrequency (%)
ㄷ 6
31.6%
ㄴ 6
31.6%
ㄱ 6
31.6%
ㆍ 1
 
5.3%
Punctuation
ValueCountFrequency (%)
… 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 3
37.5%
Ⅲ 1
 
12.5%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

저작자
Text

Distinct7365
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-11T09:25:37.805600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length288
Median length122
Mean length16.021954
Min length2

Characters and Unicode

Total characters137933
Distinct characters977
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6682 ?
Unique (%)77.6%

Sample

1st row헬렌 세이버리 지음 ;이지윤 옮김;주영하 감수
2nd row이권희;심기원 지음
3rd row파스칼 보니파스 지음 ;정상필 옮김
4th row니혼게이자이신문 편저;장인주 옮김
5th row이서정 지음
ValueCountFrequency (%)
그림 2818
 
8.3%
지음 2572
 
7.6%
옮김 2549
 
7.5%
글 1862
 
5.5%
지은이 881
 
2.6%
글·그림 810
 
2.4%
옮긴이 390
 
1.1%
편 151
 
0.4%
그린이 114
 
0.3%
편집부 95
 
0.3%
Other values (11136) 21769
64.0%
2023-12-11T09:25:38.216059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25420
 
18.4%
; 8549
 
6.2%
김 4782
 
3.5%
지 4729
 
3.4%
이 4559
 
3.3%
그 4464
 
3.2%
림 4249
 
3.1%
글 3976
 
2.9%
: 3964
 
2.9%
음 3230
 
2.3%
Other values (967) 70011
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96591
70.0%
Space Separator 25420
 
18.4%
Other Punctuation 13785
 
10.0%
Lowercase Letter 879
 
0.6%
Uppercase Letter 506
 
0.4%
Close Punctuation 334
 
0.2%
Open Punctuation 334
 
0.2%
Dash Punctuation 35
 
< 0.1%
Math Symbol 25
 
< 0.1%
Decimal Number 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 4782
 
5.0%
지 4729
 
4.9%
이 4559
 
4.7%
그 4464
 
4.6%
림 4249
 
4.4%
글 3976
 
4.1%
음 3230
 
3.3%
옮 2974
 
3.1%
은 1683
 
1.7%
정 1510
 
1.6%
Other values (883) 60435
62.6%
Lowercase Letter
ValueCountFrequency (%)
o 140
15.9%
a 89
10.1%
n 85
9.7%
i 74
 
8.4%
e 61
 
6.9%
s 60
 
6.8%
t 53
 
6.0%
b 47
 
5.3%
l 42
 
4.8%
h 39
 
4.4%
Other values (17) 189
21.5%
Uppercase Letter
ValueCountFrequency (%)
S 43
 
8.5%
L 41
 
8.1%
E 41
 
8.1%
B 37
 
7.3%
K 36
 
7.1%
R 29
 
5.7%
M 29
 
5.7%
Z 28
 
5.5%
J 26
 
5.1%
A 24
 
4.7%
Other values (15) 172
34.0%
Other Punctuation
ValueCountFrequency (%)
; 8549
62.0%
: 3964
28.8%
· 1014
 
7.4%
. 249
 
1.8%
& 3
 
< 0.1%
' 2
 
< 0.1%
! 1
 
< 0.1%
? 1
 
< 0.1%
/ 1
 
< 0.1%
。 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 4
22.2%
8 4
22.2%
4 4
22.2%
2 1
 
5.6%
9 1
 
5.6%
5 1
 
5.6%
7 1
 
5.6%
6 1
 
5.6%
3 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
] 323
96.7%
) 9
 
2.7%
』 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
[ 323
96.7%
( 9
 
2.7%
『 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
< 12
48.0%
> 12
48.0%
+ 1
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
74.3%
― 9
 
25.7%
Space Separator
ValueCountFrequency (%)
25420
100.0%
Modifier Letter
ValueCountFrequency (%)
ー 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96516
70.0%
Common 39957
29.0%
Latin 1385
 
1.0%
Katakana 48
 
< 0.1%
Han 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 4782
 
5.0%
지 4729
 
4.9%
이 4559
 
4.7%
그 4464
 
4.6%
림 4249
 
4.4%
글 3976
 
4.1%
음 3230
 
3.3%
옮 2974
 
3.1%
은 1683
 
1.7%
정 1510
 
1.6%
Other values (859) 60360
62.5%
Latin
ValueCountFrequency (%)
o 140
 
10.1%
a 89
 
6.4%
n 85
 
6.1%
i 74
 
5.3%
e 61
 
4.4%
s 60
 
4.3%
t 53
 
3.8%
b 47
 
3.4%
S 43
 
3.1%
l 42
 
3.0%
Other values (42) 691
49.9%
Common
ValueCountFrequency (%)
25420
63.6%
; 8549
 
21.4%
: 3964
 
9.9%
· 1014
 
2.5%
] 323
 
0.8%
[ 323
 
0.8%
. 249
 
0.6%
- 26
 
0.1%
< 12
 
< 0.1%
> 12
 
< 0.1%
Other values (22) 65
 
0.2%
Han
ValueCountFrequency (%)
美 2
 
7.4%
奉 2
 
7.4%
哉 2
 
7.4%
克 2
 
7.4%
社 2
 
7.4%
村 2
 
7.4%
中 2
 
7.4%
會 2
 
7.4%
式 2
 
7.4%
慶 2
 
7.4%
Other values (6) 7
25.9%
Katakana
ValueCountFrequency (%)
ク 6
12.5%
ト 6
12.5%
ス 6
12.5%
リ 6
12.5%
エ 6
12.5%
ネ 6
12.5%
ッ 6
12.5%
ワ 6
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96512
70.0%
ASCII 40304
29.2%
None 1021
 
0.7%
Katakana 54
 
< 0.1%
CJK 27
 
< 0.1%
Punctuation 9
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Latin Ext Additional 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25420
63.1%
; 8549
 
21.2%
: 3964
 
9.8%
] 323
 
0.8%
[ 323
 
0.8%
. 249
 
0.6%
o 140
 
0.3%
a 89
 
0.2%
n 85
 
0.2%
i 74
 
0.2%
Other values (64) 1088
 
2.7%
Hangul
ValueCountFrequency (%)
김 4782
 
5.0%
지 4729
 
4.9%
이 4559
 
4.7%
그 4464
 
4.6%
림 4249
 
4.4%
글 3976
 
4.1%
음 3230
 
3.3%
옮 2974
 
3.1%
은 1683
 
1.7%
정 1510
 
1.6%
Other values (858) 60356
62.5%
None
ValueCountFrequency (%)
· 1014
99.3%
』 2
 
0.2%
『 2
 
0.2%
ư 1
 
0.1%
ơ 1
 
0.1%
。 1
 
0.1%
Punctuation
ValueCountFrequency (%)
― 9
100.0%
Katakana
ValueCountFrequency (%)
ク 6
11.1%
ー 6
11.1%
ト 6
11.1%
ス 6
11.1%
リ 6
11.1%
エ 6
11.1%
ネ 6
11.1%
ッ 6
11.1%
ワ 6
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
CJK
ValueCountFrequency (%)
美 2
 
7.4%
奉 2
 
7.4%
哉 2
 
7.4%
克 2
 
7.4%
社 2
 
7.4%
村 2
 
7.4%
中 2
 
7.4%
會 2
 
7.4%
式 2
 
7.4%
慶 2
 
7.4%
Other values (6) 7
25.9%
Latin Ext Additional
ValueCountFrequency (%)
ị 1
50.0%
ễ 1
50.0%

발행자
Text

Distinct2070
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-11T09:25:38.463995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length5.6410733
Min length1

Characters and Unicode

Total characters48564
Distinct characters675
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1109 ?
Unique (%)12.9%

Sample

1st rowHumanist(휴머니스트)
2nd row보랏빛소
3rd rowRSG(레디셋고)
4th row경향BP:경향비피
5th rowMP :머니플러스
ValueCountFrequency (%)
한국헤르만헤세 172
 
1.7%
교원 163
 
1.6%
키즈엠 144
 
1.4%
문학동네 139
 
1.4%
통큰세상 128
 
1.3%
창비 124
 
1.2%
예림당 121
 
1.2%
위즈덤하우스 120
 
1.2%
웅진씽크빅 117
 
1.2%
비룡소 99
 
1.0%
Other values (2046) 8805
86.9%
2023-12-11T09:25:38.874425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1694
 
3.5%
1525
 
3.1%
: 1291
 
2.7%
이 1263
 
2.6%
북 1253
 
2.6%
사 1240
 
2.6%
어 1005
 
2.1%
리 687
 
1.4%
아 631
 
1.3%
판 614
 
1.3%
Other values (665) 37361
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41100
84.6%
Lowercase Letter 2558
 
5.3%
Space Separator 1525
 
3.1%
Other Punctuation 1382
 
2.8%
Uppercase Letter 1018
 
2.1%
Open Punctuation 396
 
0.8%
Close Punctuation 395
 
0.8%
Decimal Number 186
 
0.4%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1694
 
4.1%
이 1263
 
3.1%
북 1253
 
3.0%
사 1240
 
3.0%
어 1005
 
2.4%
리 687
 
1.7%
아 631
 
1.5%
판 614
 
1.5%
출 605
 
1.5%
한 595
 
1.4%
Other values (587) 31513
76.7%
Lowercase Letter
ValueCountFrequency (%)
o 401
15.7%
e 243
9.5%
a 214
 
8.4%
s 207
 
8.1%
r 192
 
7.5%
n 182
 
7.1%
i 176
 
6.9%
k 137
 
5.4%
l 124
 
4.8%
t 117
 
4.6%
Other values (17) 565
22.1%
Uppercase Letter
ValueCountFrequency (%)
K 127
12.5%
B 120
11.8%
M 93
 
9.1%
H 88
 
8.6%
R 84
 
8.3%
P 65
 
6.4%
I 61
 
6.0%
A 49
 
4.8%
S 47
 
4.6%
C 46
 
4.5%
Other values (15) 238
23.4%
Decimal Number
ValueCountFrequency (%)
1 71
38.2%
2 57
30.6%
0 21
 
11.3%
3 18
 
9.7%
4 8
 
4.3%
5 3
 
1.6%
6 3
 
1.6%
7 2
 
1.1%
8 2
 
1.1%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 1291
93.4%
. 38
 
2.7%
& 28
 
2.0%
· 9
 
0.7%
' 5
 
0.4%
; 4
 
0.3%
! 3
 
0.2%
# 3
 
0.2%
＆ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 392
99.0%
[ 4
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 391
99.0%
] 4
 
1.0%
Space Separator
ValueCountFrequency (%)
1525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41091
84.6%
Common 3888
 
8.0%
Latin 3576
 
7.4%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1694
 
4.1%
이 1263
 
3.1%
북 1253
 
3.0%
사 1240
 
3.0%
어 1005
 
2.4%
리 687
 
1.7%
아 631
 
1.5%
판 614
 
1.5%
출 605
 
1.5%
한 595
 
1.4%
Other values (581) 31504
76.7%
Latin
ValueCountFrequency (%)
o 401
 
11.2%
e 243
 
6.8%
a 214
 
6.0%
s 207
 
5.8%
r 192
 
5.4%
n 182
 
5.1%
i 176
 
4.9%
k 137
 
3.8%
K 127
 
3.6%
l 124
 
3.5%
Other values (42) 1573
44.0%
Common
ValueCountFrequency (%)
1525
39.2%
: 1291
33.2%
( 392
 
10.1%
) 391
 
10.1%
1 71
 
1.8%
2 57
 
1.5%
. 38
 
1.0%
& 28
 
0.7%
0 21
 
0.5%
3 18
 
0.5%
Other values (16) 56
 
1.4%
Han
ValueCountFrequency (%)
家 2
22.2%
舍 2
22.2%
書 2
22.2%
社 1
11.1%
友 1
11.1%
敎 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41091
84.6%
ASCII 7452
 
15.3%
None 12
 
< 0.1%
CJK 9
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1694
 
4.1%
이 1263
 
3.1%
북 1253
 
3.0%
사 1240
 
3.0%
어 1005
 
2.4%
리 687
 
1.7%
아 631
 
1.5%
판 614
 
1.5%
출 605
 
1.5%
한 595
 
1.4%
Other values (581) 31504
76.7%
ASCII
ValueCountFrequency (%)
1525
20.5%
: 1291
17.3%
o 401
 
5.4%
( 392
 
5.3%
) 391
 
5.2%
e 243
 
3.3%
a 214
 
2.9%
s 207
 
2.8%
r 192
 
2.6%
n 182
 
2.4%
Other values (65) 2414
32.4%
None
ValueCountFrequency (%)
· 9
75.0%
é 2
 
16.7%
＆ 1
 
8.3%
CJK
ValueCountFrequency (%)
家 2
22.2%
舍 2
22.2%
書 2
22.2%
社 1
11.1%
友 1
11.1%
敎 1
11.1%

발행년
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.464
Minimum1997
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size75.8 KiB
2023-12-11T09:25:38.997970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2011
Q12015
median2016
Q32017
95-th percentile2018
Maximum2018
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1492608
Coefficient of variation (CV)0.0010663851
Kurtosis6.4594646
Mean2015.464
Median Absolute Deviation (MAD)1
Skewness-2.0706507
Sum17351130
Variance4.6193219
MonotonicityNot monotonic
2023-12-11T09:25:39.105623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2016 2923
34.0%
2017 2258
26.2%
2015 940
 
10.9%
2014 673
 
7.8%
2018 618
 
7.2%
2013 380
 
4.4%
2011 306
 
3.6%
2012 229
 
2.7%
2010 92
 
1.1%
2009 56
 
0.7%
Other values (11) 134
 
1.6%
ValueCountFrequency (%)
1997 1
 
< 0.1%
1998 1
 
< 0.1%
2000 1
 
< 0.1%
2001 5
 
0.1%
2002 2
 
< 0.1%
2003 3
 
< 0.1%
2004 5
 
0.1%
2005 15
0.2%
2006 16
0.2%
2007 32
0.4%
ValueCountFrequency (%)
2018 618
 
7.2%
2017 2258
26.2%
2016 2923
34.0%
2015 940
 
10.9%
2014 673
 
7.8%
2013 380
 
4.4%
2012 229
 
2.7%
2011 306
 
3.6%
2010 92
 
1.1%
2009 56
 
0.7%

보유장소
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
화전도서관
8609 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화전도서관
2nd row화전도서관
3rd row화전도서관
4th row화전도서관
5th row화전도서관

Common Values

ValueCountFrequency (%)
화전도서관 8609
100.0%

Length

2023-12-11T09:25:39.209011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:25:39.290318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화전도서관 8609
100.0%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8609
Missing (%)100.0%
Memory size75.8 KiB

Interactions

2023-12-11T09:25:35.904267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T09:25:36.009180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:25:36.144350image/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

등록번호서명저작자발행자발행년보유장소Unnamed: 6
0EM0000050000차의 지구사헬렌 세이버리 지음 ;이지윤 옮김;주영하 감수Humanist(휴머니스트)2015화전도서관<NA>
1EM0000050001주식투자 532법칙으로 손실계좌 복구하기 : 잃어버린 원금 되찾는 맞춤형 투자전략이권희;심기원 지음보랏빛소2016화전도서관<NA>
2EM0000050002지정학에 관한 모든 것 : 지정학으로 바라본 1945년부터 오늘날까지의 국제관계파스칼 보니파스 지음 ;정상필 옮김RSG(레디셋고)2016화전도서관<NA>
3EM0000050004중국버블 붕괴가 시작됐다니혼게이자이신문 편저;장인주 옮김경향BP:경향비피2016화전도서관<NA>
4EM0000050005지독하게 매달려라 : 절망세대의 희망 프로젝트이서정 지음MP :머니플러스2016화전도서관<NA>
5EM0000050006제7의 감각 : 전략적 직관윌리엄 더건 지음;윤미나 옮김비지니스맵:한국물가정보2008화전도서관<NA>
6EM0000050008디테일이 강해야 산다 : 자기계발의 거의 모든 것김태흥 지음파라북스2015화전도서관<NA>
7EM0000050009꽃다운 내 청춘 : 이자야 단편소설집이자야천우2016화전도서관<NA>
8EM0000050010앵선씨의 제주 한 달지은이: 고앵선역사공간2016화전도서관<NA>
9EM0000050011남은 생의 첫날지은이: 비르지니 그리말디 ;옮긴이: 이안열림원2015화전도서관<NA>
등록번호서명저작자발행자발행년보유장소Unnamed: 6
8599EM0000059981(반지의)얼렁뚱땅 비밀일기. 13권종이 글·그림대원씨아이2015화전도서관<NA>
8600EM0000059982(반지의)얼렁뚱땅 비밀일기. 14권종이 글·그림대원씨아이2018화전도서관<NA>
8601EM0000059983(반지의)얼렁뚱땅 비밀일기. 15권종이 글·그림대원씨아이2016화전도서관<NA>
8602EM0000059984(반지의)얼렁뚱땅 비밀일기. 16권종이 글·그림대원씨아이2016화전도서관<NA>
8603EM0000059985(반지의)얼렁뚱땅 비밀일기. 17권종이 글·그림대원씨아이2016화전도서관<NA>
8604EM0000059986(반지의)얼렁뚱땅 비밀일기. 18권종이 글·그림대원씨아이2017화전도서관<NA>
8605EM0000059987(반지의)얼렁뚱땅 비밀일기. 19권종이 글그림대원씨아이2017화전도서관<NA>
8606EM0000059988(반지의)얼렁뚱땅 비밀일기. 20권종이 글·그림대원씨아이2018화전도서관<NA>
8607EM0000059989쿠키런 오싹 공포 과학 상식 = CookieRun : 온몸이 떨리는 재미! 공포 과학 상식 25글: 조주희 ;그림: 이태영서울문화사2015화전도서관<NA>
8608EM0000060000수학도둑. 1송도수 글 ;서정은 그림서울문화사2018화전도서관<NA>