Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.6 KiB
Average record size in memory49.0 B

Variable types

Text4
Numeric1
Categorical1

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
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:25:11.357669
Analysis finished2023-12-11 00:25:13.690740
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-11T09:25:13.879153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowEM0000050000
2nd rowEM0000050001
3rd rowEM0000050002
4th rowEM0000050003
5th rowEM0000050004
ValueCountFrequency (%)
em0000050000 1
 
< 0.1%
em0000056670 1
 
< 0.1%
em0000056679 1
 
< 0.1%
em0000056664 1
 
< 0.1%
em0000056665 1
 
< 0.1%
em0000056666 1
 
< 0.1%
em0000056667 1
 
< 0.1%
em0000056668 1
 
< 0.1%
em0000056669 1
 
< 0.1%
em0000056672 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T09:25:14.253603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54004
45.0%
5 13999
 
11.7%
E 10000
 
8.3%
M 10000
 
8.3%
8 4000
 
3.3%
1 4000
 
3.3%
2 4000
 
3.3%
6 4000
 
3.3%
9 4000
 
3.3%
7 3999
 
3.3%
Other values (2) 7998
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54004
54.0%
5 13999
 
14.0%
8 4000
 
4.0%
1 4000
 
4.0%
2 4000
 
4.0%
6 4000
 
4.0%
9 4000
 
4.0%
7 3999
 
4.0%
3 3999
 
4.0%
4 3999
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
E 10000
50.0%
M 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54004
54.0%
5 13999
 
14.0%
8 4000
 
4.0%
1 4000
 
4.0%
2 4000
 
4.0%
6 4000
 
4.0%
9 4000
 
4.0%
7 3999
 
4.0%
3 3999
 
4.0%
4 3999
 
4.0%
Latin
ValueCountFrequency (%)
E 10000
50.0%
M 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54004
45.0%
5 13999
 
11.7%
E 10000
 
8.3%
M 10000
 
8.3%
8 4000
 
3.3%
1 4000
 
3.3%
2 4000
 
3.3%
6 4000
 
3.3%
9 4000
 
3.3%
7 3999
 
3.3%
Other values (2) 7998
 
6.7%

서명
Text

Distinct9552
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-11T09:25:14.688101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length73
Mean length21.1136
Min length1

Characters and Unicode

Total characters211136
Distinct characters1482
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9166 ?
Unique (%)91.7%

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 row천만시간 라틴, 백만시간 남미 : 오지여행 전문가 채경석의 라틴아메리카 인문탐사여행기
5th row중국버블 붕괴가 시작됐다
ValueCountFrequency (%)
4435
 
7.8%
이야기 426
 
0.7%
위한 297
 
0.5%
장편소설 284
 
0.5%
내 247
 
0.4%
우리 245
 
0.4%
나는 192
 
0.3%
1 168
 
0.3%
2 152
 
0.3%
어떻게 146
 
0.3%
Other values (20711) 50482
88.5%
2023-12-11T09:25:15.261614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50475
 
23.9%
: 4296
 
2.0%
이 3968
 
1.9%
의 3901
 
1.8%
는 3340
 
1.6%
기 2366
 
1.1%
가 2232
 
1.1%
한 1976
 
0.9%
아 1962
 
0.9%
리 1928
 
0.9%
Other values (1472) 134692
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140822
66.7%
Space Separator 50477
 
23.9%
Other Punctuation 8792
 
4.2%
Lowercase Letter 3956
 
1.9%
Decimal Number 3146
 
1.5%
Close Punctuation 1352
 
0.6%
Open Punctuation 1350
 
0.6%
Uppercase Letter 927
 
0.4%
Math Symbol 221
 
0.1%
Dash Punctuation 68
 
< 0.1%
Other values (6) 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3968
 
2.8%
의 3901
 
2.8%
는 3340
 
2.4%
기 2366
 
1.7%
가 2232
 
1.6%
한 1976
 
1.4%
아 1962
 
1.4%
리 1928
 
1.4%
지 1914
 
1.4%
다 1755
 
1.2%
Other values (1359) 115480
82.0%
Lowercase Letter
ValueCountFrequency (%)
o 459
11.6%
e 404
 
10.2%
i 306
 
7.7%
h 278
 
7.0%
n 258
 
6.5%
a 253
 
6.4%
t 232
 
5.9%
r 228
 
5.8%
s 222
 
5.6%
l 212
 
5.4%
Other values (18) 1104
27.9%
Uppercase Letter
ValueCountFrequency (%)
W 133
14.3%
I 73
 
7.9%
S 60
 
6.5%
E 55
 
5.9%
T 55
 
5.9%
R 53
 
5.7%
B 52
 
5.6%
A 52
 
5.6%
M 42
 
4.5%
P 37
 
4.0%
Other values (16) 315
34.0%
Other Punctuation
ValueCountFrequency (%)
: 4296
48.9%
, 1648
 
18.7%
! 833
 
9.5%
. 833
 
9.5%
? 752
 
8.6%
' 168
 
1.9%
· 166
 
1.9%
& 31
 
0.4%
; 20
 
0.2%
% 15
 
0.2%
Other values (7) 30
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 844
26.8%
0 654
20.8%
2 439
14.0%
3 291
 
9.2%
5 238
 
7.6%
4 194
 
6.2%
6 139
 
4.4%
7 134
 
4.3%
8 117
 
3.7%
9 96
 
3.1%
Math Symbol
ValueCountFrequency (%)
= 146
66.1%
~ 35
 
15.8%
| 12
 
5.4%
+ 11
 
5.0%
< 5
 
2.3%
> 5
 
2.3%
× 3
 
1.4%
｜ 3
 
1.4%
∼ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 1264
93.5%
] 72
 
5.3%
』 6
 
0.4%
」 5
 
0.4%
》 5
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1262
93.5%
[ 72
 
5.3%
『 6
 
0.4%
「 5
 
0.4%
《 5
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 4
40.0%
Ⅲ 1
 
10.0%
Other Symbol
ValueCountFrequency (%)
★ 4
66.7%
° 1
 
16.7%
℃ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
50475
> 99.9%
  2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140715
66.6%
Common 65421
31.0%
Latin 4893
 
2.3%
Han 107
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3968
 
2.8%
의 3901
 
2.8%
는 3340
 
2.4%
기 2366
 
1.7%
가 2232
 
1.6%
한 1976
 
1.4%
아 1962
 
1.4%
리 1928
 
1.4%
지 1914
 
1.4%
다 1755
 
1.2%
Other values (1302) 115373
82.0%
Latin
ValueCountFrequency (%)
o 459
 
9.4%
e 404
 
8.3%
i 306
 
6.3%
h 278
 
5.7%
n 258
 
5.3%
a 253
 
5.2%
t 232
 
4.7%
r 228
 
4.7%
s 222
 
4.5%
l 212
 
4.3%
Other values (47) 2041
41.7%
Han
ValueCountFrequency (%)
日 8
 
7.5%
手 6
 
5.6%
國 6
 
5.6%
語 6
 
5.6%
本 6
 
5.6%
級 4
 
3.7%
中 4
 
3.7%
下 4
 
3.7%
上 4
 
3.7%
神 3
 
2.8%
Other values (47) 56
52.3%
Common
ValueCountFrequency (%)
50475
77.2%
: 4296
 
6.6%
, 1648
 
2.5%
) 1264
 
1.9%
( 1262
 
1.9%
1 844
 
1.3%
! 833
 
1.3%
. 833
 
1.3%
? 752
 
1.1%
0 654
 
1.0%
Other values (46) 2560
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140695
66.6%
ASCII 70072
33.2%
None 213
 
0.1%
CJK 105
 
< 0.1%
Compat Jamo 20
 
< 0.1%
Punctuation 13
 
< 0.1%
Number Forms 10
 
< 0.1%
Misc Symbols 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50475
72.0%
: 4296
 
6.1%
, 1648
 
2.4%
) 1264
 
1.8%
( 1262
 
1.8%
1 844
 
1.2%
! 833
 
1.2%
. 833
 
1.2%
? 752
 
1.1%
0 654
 
0.9%
Other values (78) 7211
 
10.3%
Hangul
ValueCountFrequency (%)
이 3968
 
2.8%
의 3901
 
2.8%
는 3340
 
2.4%
기 2366
 
1.7%
가 2232
 
1.6%
한 1976
 
1.4%
아 1962
 
1.4%
리 1928
 
1.4%
지 1914
 
1.4%
다 1755
 
1.2%
Other values (1298) 115353
82.0%
None
ValueCountFrequency (%)
· 166
77.9%
『 6
 
2.8%
』 6
 
2.8%
」 5
 
2.3%
「 5
 
2.3%
《 5
 
2.3%
》 5
 
2.3%
× 3
 
1.4%
｜ 3
 
1.4%
？ 3
 
1.4%
Other values (5) 6
 
2.8%
CJK
ValueCountFrequency (%)
日 8
 
7.6%
手 6
 
5.7%
國 6
 
5.7%
語 6
 
5.7%
本 6
 
5.7%
級 4
 
3.8%
中 4
 
3.8%
下 4
 
3.8%
上 4
 
3.8%
神 3
 
2.9%
Other values (46) 54
51.4%
Punctuation
ValueCountFrequency (%)
… 7
53.8%
  2
 
15.4%
‘ 2
 
15.4%
’ 2
 
15.4%
Compat Jamo
ValueCountFrequency (%)
ㄴ 6
30.0%
ㄷ 6
30.0%
ㄱ 6
30.0%
ㆍ 2
 
10.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
50.0%
Ⅰ 4
40.0%
Ⅲ 1
 
10.0%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

저작자
Text

Distinct8487
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-11T09:25:15.721370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length358
Median length205
Mean length15.9696
Min length2

Characters and Unicode

Total characters159696
Distinct characters1004
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

Unique7663 ?
Unique (%)76.6%

Sample

1st row헬렌 세이버리 지음 ;이지윤 옮김;주영하 감수
2nd row이권희;심기원 지음
3rd row파스칼 보니파스 지음 ;정상필 옮김
4th row채경석 지음
5th row니혼게이자이신문 편저;장인주 옮김
ValueCountFrequency (%)
그림 3216
 
8.2%
지음 3145
 
8.0%
옮김 2914
 
7.4%
글 2094
 
5.3%
지은이 1009
 
2.6%
글·그림 879
 
2.2%
옮긴이 432
 
1.1%
편 154
 
0.4%
그린이 132
 
0.3%
엮음 103
 
0.3%
Other values (12483) 25066
64.0%
2023-12-11T09:25:16.587430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29166
 
18.3%
; 10075
 
6.3%
지 5649
 
3.5%
김 5513
 
3.5%
이 5314
 
3.3%
그 5037
 
3.2%
림 4790
 
3.0%
: 4487
 
2.8%
글 4478
 
2.8%
음 3916
 
2.5%
Other values (994) 81271
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112096
70.2%
Space Separator 29166
 
18.3%
Other Punctuation 16026
 
10.0%
Lowercase Letter 941
 
0.6%
Uppercase Letter 588
 
0.4%
Close Punctuation 390
 
0.2%
Open Punctuation 390
 
0.2%
Dash Punctuation 38
 
< 0.1%
Math Symbol 35
 
< 0.1%
Decimal Number 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5649
 
5.0%
김 5513
 
4.9%
이 5314
 
4.7%
그 5037
 
4.5%
림 4790
 
4.3%
글 4478
 
4.0%
음 3916
 
3.5%
옮 3388
 
3.0%
은 1934
 
1.7%
정 1775
 
1.6%
Other values (908) 70302
62.7%
Lowercase Letter
ValueCountFrequency (%)
o 147
15.6%
a 100
10.6%
n 90
9.6%
i 81
 
8.6%
s 64
 
6.8%
e 62
 
6.6%
t 57
 
6.1%
b 48
 
5.1%
l 45
 
4.8%
h 41
 
4.4%
Other values (17) 206
21.9%
Uppercase Letter
ValueCountFrequency (%)
S 55
 
9.4%
B 50
 
8.5%
L 47
 
8.0%
E 45
 
7.7%
K 44
 
7.5%
M 38
 
6.5%
R 33
 
5.6%
Z 29
 
4.9%
D 28
 
4.8%
J 27
 
4.6%
Other values (16) 192
32.7%
Other Punctuation
ValueCountFrequency (%)
; 10075
62.9%
: 4487
28.0%
· 1124
 
7.0%
. 297
 
1.9%
, 28
 
0.2%
& 5
 
< 0.1%
' 4
 
< 0.1%
/ 3
 
< 0.1%
! 1
 
< 0.1%
? 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 5
25.0%
1 5
25.0%
8 4
20.0%
2 1
 
5.0%
9 1
 
5.0%
6 1
 
5.0%
7 1
 
5.0%
5 1
 
5.0%
3 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
] 378
96.9%
) 10
 
2.6%
』 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 378
96.9%
( 10
 
2.6%
『 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 17
48.6%
< 17
48.6%
+ 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 29
76.3%
― 9
 
23.7%
Space Separator
ValueCountFrequency (%)
29166
100.0%
Modifier Letter
ValueCountFrequency (%)
ー 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112020
70.1%
Common 46071
28.8%
Latin 1529
 
1.0%
Katakana 48
 
< 0.1%
Han 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5649
 
5.0%
김 5513
 
4.9%
이 5314
 
4.7%
그 5037
 
4.5%
림 4790
 
4.3%
글 4478
 
4.0%
음 3916
 
3.5%
옮 3388
 
3.0%
은 1934
 
1.7%
정 1775
 
1.6%
Other values (883) 70226
62.7%
Latin
ValueCountFrequency (%)
o 147
 
9.6%
a 100
 
6.5%
n 90
 
5.9%
i 81
 
5.3%
s 64
 
4.2%
e 62
 
4.1%
t 57
 
3.7%
S 55
 
3.6%
B 50
 
3.3%
b 48
 
3.1%
Other values (43) 775
50.7%
Common
ValueCountFrequency (%)
29166
63.3%
; 10075
 
21.9%
: 4487
 
9.7%
· 1124
 
2.4%
] 378
 
0.8%
[ 378
 
0.8%
. 297
 
0.6%
- 29
 
0.1%
, 28
 
0.1%
> 17
 
< 0.1%
Other values (23) 92
 
0.2%
Han
ValueCountFrequency (%)
奉 2
 
7.1%
中 2
 
7.1%
美 2
 
7.1%
株 2
 
7.1%
式 2
 
7.1%
慶 2
 
7.1%
會 2
 
7.1%
哉 2
 
7.1%
克 2
 
7.1%
社 2
 
7.1%
Other values (7) 8
28.6%
Katakana
ValueCountFrequency (%)
エ 6
12.5%
リ 6
12.5%
ネ 6
12.5%
ッ 6
12.5%
ト 6
12.5%
ワ 6
12.5%
ク 6
12.5%
ス 6
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112016
70.1%
ASCII 46452
29.1%
None 1131
 
0.7%
Katakana 54
 
< 0.1%
CJK 28
 
< 0.1%
Punctuation 9
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Latin Ext Additional 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29166
62.8%
; 10075
 
21.7%
: 4487
 
9.7%
] 378
 
0.8%
[ 378
 
0.8%
. 297
 
0.6%
o 147
 
0.3%
a 100
 
0.2%
n 90
 
0.2%
i 81
 
0.2%
Other values (66) 1253
 
2.7%
Hangul
ValueCountFrequency (%)
지 5649
 
5.0%
김 5513
 
4.9%
이 5314
 
4.7%
그 5037
 
4.5%
림 4790
 
4.3%
글 4478
 
4.0%
음 3916
 
3.5%
옮 3388
 
3.0%
은 1934
 
1.7%
정 1775
 
1.6%
Other values (882) 70222
62.7%
None
ValueCountFrequency (%)
· 1124
99.4%
『 2
 
0.2%
』 2
 
0.2%
ơ 1
 
0.1%
ư 1
 
0.1%
。 1
 
0.1%
Punctuation
ValueCountFrequency (%)
― 9
100.0%
Katakana
ValueCountFrequency (%)
エ 6
11.1%
リ 6
11.1%
ー 6
11.1%
ネ 6
11.1%
ッ 6
11.1%
ト 6
11.1%
ワ 6
11.1%
ク 6
11.1%
ス 6
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
CJK
ValueCountFrequency (%)
奉 2
 
7.1%
中 2
 
7.1%
美 2
 
7.1%
株 2
 
7.1%
式 2
 
7.1%
慶 2
 
7.1%
會 2
 
7.1%
哉 2
 
7.1%
克 2
 
7.1%
社 2
 
7.1%
Other values (7) 8
28.6%
Latin Ext Additional
ValueCountFrequency (%)
ị 1
50.0%
ễ 1
50.0%

발행자
Text

Distinct2268
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-11T09:25:16.911509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length5.6352
Min length1

Characters and Unicode

Total characters56352
Distinct characters701
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1192 ?
Unique (%)11.9%

Sample

1st rowHumanist(휴머니스트)
2nd row보랏빛소
3rd rowRSG(레디셋고)
4th row북클라우드 :헬스조선
5th row경향BP:경향비피
ValueCountFrequency (%)
한국헤르만헤세 183
 
1.6%
교원 175
 
1.5%
문학동네 164
 
1.4%
위즈덤하우스 160
 
1.4%
키즈엠 154
 
1.3%
통큰세상 143
 
1.2%
창비 137
 
1.2%
웅진씽크빅 123
 
1.0%
예림당 121
 
1.0%
비룡소 118
 
1.0%
Other values (2227) 10283
87.4%
2023-12-11T09:25:17.349105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 2024
 
3.6%
1763
 
3.1%
: 1510
 
2.7%
이 1478
 
2.6%
북 1471
 
2.6%
사 1414
 
2.5%
어 1136
 
2.0%
리 795
 
1.4%
아 747
 
1.3%
판 708
 
1.3%
Other values (691) 43306
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47742
84.7%
Lowercase Letter 2922
 
5.2%
Space Separator 1763
 
3.1%
Other Punctuation 1619
 
2.9%
Uppercase Letter 1171
 
2.1%
Open Punctuation 451
 
0.8%
Close Punctuation 450
 
0.8%
Decimal Number 227
 
0.4%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2024
 
4.2%
이 1478
 
3.1%
북 1471
 
3.1%
사 1414
 
3.0%
어 1136
 
2.4%
리 795
 
1.7%
아 747
 
1.6%
판 708
 
1.5%
출 694
 
1.5%
한 692
 
1.4%
Other values (611) 36583
76.6%
Lowercase Letter
ValueCountFrequency (%)
o 452
15.5%
e 281
9.6%
a 240
 
8.2%
s 235
 
8.0%
r 213
 
7.3%
n 213
 
7.3%
i 206
 
7.0%
k 154
 
5.3%
l 142
 
4.9%
t 135
 
4.6%
Other values (17) 651
22.3%
Uppercase Letter
ValueCountFrequency (%)
K 150
12.8%
B 137
11.7%
H 111
9.5%
R 109
9.3%
M 102
 
8.7%
P 69
 
5.9%
I 64
 
5.5%
S 57
 
4.9%
A 56
 
4.8%
C 49
 
4.2%
Other values (15) 267
22.8%
Other Punctuation
ValueCountFrequency (%)
: 1510
93.3%
. 42
 
2.6%
& 31
 
1.9%
· 10
 
0.6%
, 6
 
0.4%
' 6
 
0.4%
; 6
 
0.4%
# 4
 
0.2%
! 3
 
0.2%
＆ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 86
37.9%
2 72
31.7%
0 25
 
11.0%
3 21
 
9.3%
4 10
 
4.4%
6 3
 
1.3%
5 3
 
1.3%
8 3
 
1.3%
7 3
 
1.3%
9 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 447
99.1%
[ 4
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 446
99.1%
] 4
 
0.9%
Space Separator
ValueCountFrequency (%)
1763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Private Use
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47730
84.7%
Common 4515
 
8.0%
Latin 4093
 
7.3%
Han 12
 
< 0.1%
Unknown 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2024
 
4.2%
이 1478
 
3.1%
북 1471
 
3.1%
사 1414
 
3.0%
어 1136
 
2.4%
리 795
 
1.7%
아 747
 
1.6%
판 708
 
1.5%
출 694
 
1.5%
한 692
 
1.4%
Other values (602) 36571
76.6%
Latin
ValueCountFrequency (%)
o 452
 
11.0%
e 281
 
6.9%
a 240
 
5.9%
s 235
 
5.7%
r 213
 
5.2%
n 213
 
5.2%
i 206
 
5.0%
k 154
 
3.8%
K 150
 
3.7%
l 142
 
3.5%
Other values (42) 1807
44.1%
Common
ValueCountFrequency (%)
1763
39.0%
: 1510
33.4%
( 447
 
9.9%
) 446
 
9.9%
1 86
 
1.9%
2 72
 
1.6%
. 42
 
0.9%
& 31
 
0.7%
0 25
 
0.6%
3 21
 
0.5%
Other values (17) 72
 
1.6%
Han
ValueCountFrequency (%)
書 2
16.7%
家 2
16.7%
舍 2
16.7%
知 1
8.3%
世 1
8.3%
利 1
8.3%
社 1
8.3%
友 1
8.3%
敎 1
8.3%
Unknown
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47730
84.7%
ASCII 8595
 
15.3%
None 13
 
< 0.1%
CJK 11
 
< 0.1%
PUA 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 2024
 
4.2%
이 1478
 
3.1%
북 1471
 
3.1%
사 1414
 
3.0%
어 1136
 
2.4%
리 795
 
1.7%
아 747
 
1.6%
판 708
 
1.5%
출 694
 
1.5%
한 692
 
1.4%
Other values (602) 36571
76.6%
ASCII
ValueCountFrequency (%)
1763
20.5%
: 1510
17.6%
o 452
 
5.3%
( 447
 
5.2%
) 446
 
5.2%
e 281
 
3.3%
a 240
 
2.8%
s 235
 
2.7%
r 213
 
2.5%
n 213
 
2.5%
Other values (66) 2795
32.5%
None
ValueCountFrequency (%)
· 10
76.9%
é 2
 
15.4%
＆ 1
 
7.7%
PUA
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
書 2
18.2%
家 2
18.2%
舍 2
18.2%
知 1
9.1%
世 1
9.1%
社 1
9.1%
友 1
9.1%
敎 1
9.1%
CJK Compat Ideographs
ValueCountFrequency (%)
利 1
100.0%

발행년
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.4936
Minimum1997
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-11T09:25:17.474953image/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 deviation2.1241964
Coefficient of variation (CV)0.0010539336
Kurtosis6.4823818
Mean2015.4936
Median Absolute Deviation (MAD)1
Skewness-2.0766424
Sum20154936
Variance4.5122103
MonotonicityNot monotonic
2023-12-11T09:25:17.586277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2016 3383
33.8%
2017 2684
26.8%
2015 1092
 
10.9%
2014 768
 
7.7%
2018 720
 
7.2%
2013 432
 
4.3%
2011 348
 
3.5%
2012 256
 
2.6%
2010 106
 
1.1%
2009 66
 
0.7%
Other values (11) 145
 
1.5%
ValueCountFrequency (%)
1997 1
 
< 0.1%
1998 1
 
< 0.1%
2000 1
 
< 0.1%
2001 5
 
0.1%
2002 3
 
< 0.1%
2003 3
 
< 0.1%
2004 7
 
0.1%
2005 15
0.1%
2006 18
0.2%
2007 36
0.4%
ValueCountFrequency (%)
2018 720
 
7.2%
2017 2684
26.8%
2016 3383
33.8%
2015 1092
 
10.9%
2014 768
 
7.7%
2013 432
 
4.3%
2012 256
 
2.6%
2011 348
 
3.5%
2010 106
 
1.1%
2009 66
 
0.7%

보유장소
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
화전도서관
10000 

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 10000
100.0%

Length

2023-12-11T09:25:17.688015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:25:17.766884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화전도서관 10000
100.0%

Interactions

2023-12-11T09:25:13.376617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T09:25:13.494080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:25:13.620417image/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

등록번호서명저작자발행자발행년보유장소
0EM0000050000차의 지구사헬렌 세이버리 지음 ;이지윤 옮김;주영하 감수Humanist(휴머니스트)2015화전도서관
1EM0000050001주식투자 532법칙으로 손실계좌 복구하기 : 잃어버린 원금 되찾는 맞춤형 투자전략이권희;심기원 지음보랏빛소2016화전도서관
2EM0000050002지정학에 관한 모든 것 : 지정학으로 바라본 1945년부터 오늘날까지의 국제관계파스칼 보니파스 지음 ;정상필 옮김RSG(레디셋고)2016화전도서관
3EM0000050003천만시간 라틴, 백만시간 남미 : 오지여행 전문가 채경석의 라틴아메리카 인문탐사여행기채경석 지음북클라우드 :헬스조선2016화전도서관
4EM0000050004중국버블 붕괴가 시작됐다니혼게이자이신문 편저;장인주 옮김경향BP:경향비피2016화전도서관
5EM0000050005지독하게 매달려라 : 절망세대의 희망 프로젝트이서정 지음MP :머니플러스2016화전도서관
6EM0000050006제7의 감각 : 전략적 직관윌리엄 더건 지음;윤미나 옮김비지니스맵:한국물가정보2008화전도서관
7EM0000050007자연을 느낄 때 행복이 움튼다 : 자연과 인간의 융합, 그 기막힌 보고 : 자연을 제대로 느낄 때 우리는 행복에 한 걸음 다가설 수 있다저자: 박영종상상나무 :상상예찬2016화전도서관
8EM0000050008디테일이 강해야 산다 : 자기계발의 거의 모든 것김태흥 지음파라북스2015화전도서관
9EM0000050009꽃다운 내 청춘 : 이자야 단편소설집이자야천우2016화전도서관
등록번호서명저작자발행자발행년보유장소
9990EM0000059991쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 12, 암스테르담(Amsterdam)송도수 글 ;서정은 그림서울문화사2017화전도서관
9991EM0000059992쿠키런 어드벤처 : 쿠키들의 신나는 여행. 13, 시드니송도수 글;서정은 그림서울문화사2018화전도서관
9992EM0000059993쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 14, 토론토송도수 글;서정은 그림서울문화사2016화전도서관
9993EM0000059994쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 15, 도쿄송도수 글;서정은 그림서울문화사2018화전도서관
9994EM0000059995쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 16, 모스크바송도수 글;서정은 그림서울문화사2018화전도서관
9995EM0000059996쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 17, 헬싱키송도수 글;서정은 그림서울문화사2018화전도서관
9996EM0000059997쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 18, 리우 데자네이루송도수 글 ;서정은 그림서울문화사2017화전도서관
9997EM0000059998쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 19, 카이로송도수 글;서정은 그림서울문화사2018화전도서관
9998EM0000059999쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 20, 부에노스아이레스송도수 글;서정은 그림서울문화사2018화전도서관
9999EM0000060000수학도둑. 1송도수 글 ;서정은 그림서울문화사2018화전도서관