Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory703.1 KiB
Average record size in memory72.0 B

Variable types

Categorical3
Text5

Dataset

Description도서관법에 따라 통영시립충무도서관에서 수집∙정리∙보존하는 자료 중 공중에게 제공가능 한 서적 정보(자료명, 저자명, 발행처 등)
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15048957/fileData.do

Alerts

도서관명 has constant value ""Constant
관리기간명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:16:59.656172
Analysis finished2024-03-14 23:17:04.296101
Duration4.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
통영시립충무도서관
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통영시립충무도서관 10000
100.0%

Length

2024-03-15T08:17:04.501464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:17:04.796725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통영시립충무도서관 10000
100.0%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T08:17:05.485787image/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 rowHM0000000968
2nd rowHM0000031346
3rd rowHM0000008196
4th rowHM0000026153
5th rowHM0000061674
ValueCountFrequency (%)
hm0000000968 1
 
< 0.1%
hm0000042777 1
 
< 0.1%
hm0000072032 1
 
< 0.1%
hm0000034498 1
 
< 0.1%
hm0000065991 1
 
< 0.1%
hm0000038589 1
 
< 0.1%
hm0000066484 1
 
< 0.1%
hm0000025055 1
 
< 0.1%
hm0000008839 1
 
< 0.1%
hm0000045021 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-15T08:17:06.625981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55256
46.0%
H 10000
 
8.3%
M 10000
 
8.3%
6 5478
 
4.6%
4 5478
 
4.6%
5 5447
 
4.5%
3 5432
 
4.5%
1 5399
 
4.5%
2 5368
 
4.5%
7 4400
 
3.7%
Other values (2) 7742
 
6.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55256
55.3%
6 5478
 
5.5%
4 5478
 
5.5%
5 5447
 
5.4%
3 5432
 
5.4%
1 5399
 
5.4%
2 5368
 
5.4%
7 4400
 
4.4%
9 3935
 
3.9%
8 3807
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
H 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 55256
55.3%
6 5478
 
5.5%
4 5478
 
5.5%
5 5447
 
5.4%
3 5432
 
5.4%
1 5399
 
5.4%
2 5368
 
5.4%
7 4400
 
4.4%
9 3935
 
3.9%
8 3807
 
3.8%
Latin
ValueCountFrequency (%)
H 10000
50.0%
M 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55256
46.0%
H 10000
 
8.3%
M 10000
 
8.3%
6 5478
 
4.6%
4 5478
 
4.6%
5 5447
 
4.5%
3 5432
 
4.5%
1 5399
 
4.5%
2 5368
 
4.5%
7 4400
 
3.7%
Other values (2) 7742
 
6.5%

자료명
Text

Distinct9955
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T08:17:07.902820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length187
Median length91
Mean length21.5532
Min length1

Characters and Unicode

Total characters215532
Distinct characters1781
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks15 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9911 ?
Unique (%)99.1%

Sample

1st row검은 집
2nd row이기적인 다이어트 상담소 : 당신의 다이어트에 딴지를 걸다
3rd row어린이 성경
4th row고맙다 사랑, 그립다 그대 = Thank you & miss you, my love : 우리가 잊어버린 사랑을 찾아 떠나는 감성여행
5th row레모네이드 한 잔 마실까요 : 알렉산드라 스콧
ValueCountFrequency (%)
4440
 
7.8%
이야기 447
 
0.8%
장편소설 346
 
0.6%
1 314
 
0.6%
2 246
 
0.4%
위한 234
 
0.4%
내 230
 
0.4%
우리 228
 
0.4%
the 222
 
0.4%
나는 143
 
0.3%
Other values (22789) 49731
87.9%
2024-03-15T08:17:09.487297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49604
 
23.0%
: 3964
 
1.8%
이 3929
 
1.8%
의 3597
 
1.7%
는 3025
 
1.4%
기 2198
 
1.0%
가 1964
 
0.9%
리 1849
 
0.9%
사 1831
 
0.8%
e 1794
 
0.8%
Other values (1771) 141777
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131848
61.2%
Space Separator 49604
 
23.0%
Lowercase Letter 14911
 
6.9%
Other Punctuation 9151
 
4.2%
Decimal Number 4018
 
1.9%
Uppercase Letter 2603
 
1.2%
Close Punctuation 1362
 
0.6%
Open Punctuation 1362
 
0.6%
Math Symbol 499
 
0.2%
Dash Punctuation 147
 
0.1%
Other values (7) 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3929
 
3.0%
의 3597
 
2.7%
는 3025
 
2.3%
기 2198
 
1.7%
가 1964
 
1.5%
리 1849
 
1.4%
사 1831
 
1.4%
지 1765
 
1.3%
한 1744
 
1.3%
다 1689
 
1.3%
Other values (1627) 108257
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 1794
12.0%
o 1319
 
8.8%
a 1296
 
8.7%
n 1115
 
7.5%
t 1091
 
7.3%
i 1087
 
7.3%
r 972
 
6.5%
s 921
 
6.2%
h 728
 
4.9%
l 616
 
4.1%
Other values (41) 3972
26.6%
Uppercase Letter
ValueCountFrequency (%)
T 272
 
10.4%
S 239
 
9.2%
C 163
 
6.3%
B 143
 
5.5%
A 141
 
5.4%
M 137
 
5.3%
W 136
 
5.2%
I 124
 
4.8%
E 123
 
4.7%
P 121
 
4.6%
Other values (21) 1004
38.6%
Other Punctuation
ValueCountFrequency (%)
: 3964
43.3%
, 1708
18.7%
. 1430
 
15.6%
? 817
 
8.9%
! 722
 
7.9%
· 181
 
2.0%
' 177
 
1.9%
& 39
 
0.4%
/ 31
 
0.3%
% 26
 
0.3%
Other values (10) 56
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 1105
27.5%
2 667
16.6%
0 636
15.8%
3 418
 
10.4%
5 304
 
7.6%
4 269
 
6.7%
9 175
 
4.4%
6 167
 
4.2%
8 148
 
3.7%
7 129
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 420
84.2%
~ 43
 
8.6%
+ 14
 
2.8%
< 10
 
2.0%
> 10
 
2.0%
∼ 1
 
0.2%
× 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1325
97.3%
] 25
 
1.8%
』 6
 
0.4%
」 4
 
0.3%
》 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1325
97.3%
[ 25
 
1.8%
『 6
 
0.4%
「 4
 
0.3%
《 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
® 2
28.6%
ⓔ 2
28.6%
♥ 1
14.3%
℃ 1
14.3%
★ 1
14.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 1
 
16.7%
Ⅸ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
49604
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131306
60.9%
Common 66164
30.7%
Latin 17404
 
8.1%
Han 416
 
0.2%
Cyrillic 115
 
0.1%
Hiragana 97
 
< 0.1%
Katakana 29
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3929
 
3.0%
의 3597
 
2.7%
는 3025
 
2.3%
기 2198
 
1.7%
가 1964
 
1.5%
리 1849
 
1.4%
사 1831
 
1.4%
지 1765
 
1.3%
한 1744
 
1.3%
다 1689
 
1.3%
Other values (1311) 107715
82.0%
Han
ValueCountFrequency (%)
生 10
 
2.4%
史 9
 
2.2%
大 7
 
1.7%
人 6
 
1.4%
國 6
 
1.4%
小 6
 
1.4%
神 5
 
1.2%
心 5
 
1.2%
日 5
 
1.2%
文 5
 
1.2%
Other values (244) 352
84.6%
Common
ValueCountFrequency (%)
49604
75.0%
: 3964
 
6.0%
, 1708
 
2.6%
. 1430
 
2.2%
) 1325
 
2.0%
( 1325
 
2.0%
1 1105
 
1.7%
? 817
 
1.2%
! 722
 
1.1%
2 667
 
1.0%
Other values (49) 3497
 
5.3%
Latin
ValueCountFrequency (%)
e 1794
 
10.3%
o 1319
 
7.6%
a 1296
 
7.4%
n 1115
 
6.4%
t 1091
 
6.3%
i 1087
 
6.2%
r 972
 
5.6%
s 921
 
5.3%
h 728
 
4.2%
l 616
 
3.5%
Other values (46) 6465
37.1%
Hiragana
ValueCountFrequency (%)
い 9
 
9.3%
の 7
 
7.2%
お 7
 
7.2%
ん 6
 
6.2%
な 6
 
6.2%
か 5
 
5.2%
く 4
 
4.1%
し 4
 
4.1%
こ 4
 
4.1%
さ 4
 
4.1%
Other values (27) 41
42.3%
Cyrillic
ValueCountFrequency (%)
а 12
 
10.4%
и 10
 
8.7%
о 10
 
8.7%
т 10
 
8.7%
н 7
 
6.1%
к 6
 
5.2%
л 6
 
5.2%
у 5
 
4.3%
д 5
 
4.3%
е 5
 
4.3%
Other values (18) 39
33.9%
Katakana
ValueCountFrequency (%)
ホ 2
 
6.9%
カ 2
 
6.9%
ド 2
 
6.9%
フ 2
 
6.9%
ェ 1
 
3.4%
イ 1
 
3.4%
オ 1
 
3.4%
ヂ 1
 
3.4%
ラ 1
 
3.4%
ボ 1
 
3.4%
Other values (15) 15
51.7%
Greek
ValueCountFrequency (%)
π 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131285
60.9%
ASCII 83312
38.7%
CJK 409
 
0.2%
None 230
 
0.1%
Cyrillic 115
 
0.1%
Hiragana 97
 
< 0.1%
Katakana 29
 
< 0.1%
Compat Jamo 21
 
< 0.1%
Punctuation 15
 
< 0.1%
CJK Compat Ideographs 7
 
< 0.1%
Other values (5) 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49604
59.5%
: 3964
 
4.8%
e 1794
 
2.2%
, 1708
 
2.1%
. 1430
 
1.7%
) 1325
 
1.6%
( 1325
 
1.6%
o 1319
 
1.6%
a 1296
 
1.6%
n 1115
 
1.3%
Other values (78) 18432
 
22.1%
Hangul
ValueCountFrequency (%)
이 3929
 
3.0%
의 3597
 
2.7%
는 3025
 
2.3%
기 2198
 
1.7%
가 1964
 
1.5%
리 1849
 
1.4%
사 1831
 
1.4%
지 1765
 
1.3%
한 1744
 
1.3%
다 1689
 
1.3%
Other values (1304) 107694
82.0%
None
ValueCountFrequency (%)
· 181
78.7%
』 6
 
2.6%
『 6
 
2.6%
！ 5
 
2.2%
？ 5
 
2.2%
đ 4
 
1.7%
「 4
 
1.7%
」 4
 
1.7%
＆ 3
 
1.3%
® 2
 
0.9%
Other values (7) 10
 
4.3%
Cyrillic
ValueCountFrequency (%)
а 12
 
10.4%
и 10
 
8.7%
о 10
 
8.7%
т 10
 
8.7%
н 7
 
6.1%
к 6
 
5.2%
л 6
 
5.2%
у 5
 
4.3%
д 5
 
4.3%
е 5
 
4.3%
Other values (18) 39
33.9%
CJK
ValueCountFrequency (%)
生 10
 
2.4%
史 9
 
2.2%
大 7
 
1.7%
人 6
 
1.5%
國 6
 
1.5%
小 6
 
1.5%
神 5
 
1.2%
心 5
 
1.2%
日 5
 
1.2%
文 5
 
1.2%
Other values (237) 345
84.4%
Hiragana
ValueCountFrequency (%)
い 9
 
9.3%
の 7
 
7.2%
お 7
 
7.2%
ん 6
 
6.2%
な 6
 
6.2%
か 5
 
5.2%
く 4
 
4.1%
し 4
 
4.1%
こ 4
 
4.1%
さ 4
 
4.1%
Other values (27) 41
42.3%
Punctuation
ValueCountFrequency (%)
… 8
53.3%
’ 4
26.7%
‘ 3
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 1
 
16.7%
Ⅸ 1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
ㄱ 4
19.0%
ㄴ 4
19.0%
ㄷ 4
19.0%
ㆍ 4
19.0%
ㅎ 2
9.5%
ㅅ 2
9.5%
ㅇ 1
 
4.8%
Katakana
ValueCountFrequency (%)
ホ 2
 
6.9%
カ 2
 
6.9%
ド 2
 
6.9%
フ 2
 
6.9%
ェ 1
 
3.4%
イ 1
 
3.4%
オ 1
 
3.4%
ヂ 1
 
3.4%
ラ 1
 
3.4%
ボ 1
 
3.4%
Other values (15) 15
51.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♥ 1
50.0%
★ 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
14.3%
遼 1
14.3%
論 1
14.3%
料 1
14.3%
不 1
14.3%
沈 1
14.3%
歷 1
14.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

저자명
Text

Distinct9172
Distinct (%)91.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T08:17:10.387871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length418
Median length136
Mean length17.960996
Min length2

Characters and Unicode

Total characters179592
Distinct characters1193
Distinct categories12 ?
Distinct scripts7 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8660 ?
Unique (%)86.6%

Sample

1st row기시 유스케 지음 ; 이선희 옮김
2nd row남세희, 김미구 공저
3rd row베르너 라우비 글 ; 안네게르트 푹스후버 그림 ; 손성현 옮김
4th row김현 지음
5th row은정아 글 ; 김소영 그림
ValueCountFrequency (%)
8620
 
16.5%
지음 4450
 
8.5%
그림 3420
 
6.5%
옮김 2940
 
5.6%
글 2795
 
5.3%
글·그림 569
 
1.1%
by 444
 
0.8%
지은이 388
 
0.7%
옮긴이 237
 
0.5%
엮음 169
 
0.3%
Other values (14337) 28246
54.0%
2024-03-15T08:17:11.638390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45936
25.6%
; 8575
 
4.8%
지 5814
 
3.2%
김 5587
 
3.1%
음 4743
 
2.6%
그 4449
 
2.5%
이 4345
 
2.4%
림 4262
 
2.4%
글 3721
 
2.1%
옮 3218
 
1.8%
Other values (1183) 88942
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104650
58.3%
Space Separator 45936
25.6%
Other Punctuation 13490
 
7.5%
Lowercase Letter 12353
 
6.9%
Uppercase Letter 2218
 
1.2%
Close Punctuation 402
 
0.2%
Open Punctuation 402
 
0.2%
Dash Punctuation 56
 
< 0.1%
Decimal Number 54
 
< 0.1%
Math Symbol 28
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5814
 
5.6%
김 5587
 
5.3%
음 4743
 
4.5%
그 4449
 
4.3%
이 4345
 
4.2%
림 4262
 
4.1%
글 3721
 
3.6%
옮 3218
 
3.1%
정 1746
 
1.7%
스 1616
 
1.5%
Other values (1068) 65149
62.3%
Lowercase Letter
ValueCountFrequency (%)
e 1222
 
9.9%
a 1153
 
9.3%
r 1087
 
8.8%
t 1038
 
8.4%
n 958
 
7.8%
i 936
 
7.6%
l 828
 
6.7%
o 688
 
5.6%
y 686
 
5.6%
s 573
 
4.6%
Other values (38) 3184
25.8%
Uppercase Letter
ValueCountFrequency (%)
B 203
 
9.2%
S 195
 
8.8%
M 188
 
8.5%
A 170
 
7.7%
J 157
 
7.1%
R 143
 
6.4%
H 132
 
6.0%
C 119
 
5.4%
P 105
 
4.7%
L 91
 
4.1%
Other values (21) 715
32.2%
Other Punctuation
ValueCountFrequency (%)
; 8575
63.6%
: 2239
 
16.6%
, 1303
 
9.7%
· 697
 
5.2%
. 461
 
3.4%
? 185
 
1.4%
& 11
 
0.1%
' 8
 
0.1%
/ 7
 
0.1%
＆ 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 17
31.5%
2 7
13.0%
0 7
13.0%
8 5
 
9.3%
3 4
 
7.4%
4 4
 
7.4%
9 3
 
5.6%
7 3
 
5.6%
6 2
 
3.7%
5 2
 
3.7%
Math Symbol
ValueCountFrequency (%)
> 13
46.4%
< 13
46.4%
｜ 1
 
3.6%
+ 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
] 378
94.0%
) 23
 
5.7%
〉 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 378
94.0%
( 23
 
5.7%
〈 1
 
0.2%
Space Separator
ValueCountFrequency (%)
45936
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104423
58.1%
Common 60371
33.6%
Latin 14510
 
8.1%
Han 176
 
0.1%
Cyrillic 61
 
< 0.1%
Hiragana 28
 
< 0.1%
Katakana 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5814
 
5.6%
김 5587
 
5.4%
음 4743
 
4.5%
그 4449
 
4.3%
이 4345
 
4.2%
림 4262
 
4.1%
글 3721
 
3.6%
옮 3218
 
3.1%
정 1746
 
1.7%
스 1616
 
1.5%
Other values (914) 64922
62.2%
Han
ValueCountFrequency (%)
著 20
 
11.4%
文 7
 
4.0%
日 4
 
2.3%
川 3
 
1.7%
作 3
 
1.7%
明 3
 
1.7%
井 3
 
1.7%
美 3
 
1.7%
千 2
 
1.1%
編 2
 
1.1%
Other values (109) 126
71.6%
Latin
ValueCountFrequency (%)
e 1222
 
8.4%
a 1153
 
7.9%
r 1087
 
7.5%
t 1038
 
7.2%
n 958
 
6.6%
i 936
 
6.5%
l 828
 
5.7%
o 688
 
4.7%
y 686
 
4.7%
s 573
 
3.9%
Other values (41) 5341
36.8%
Common
ValueCountFrequency (%)
45936
76.1%
; 8575
 
14.2%
: 2239
 
3.7%
, 1303
 
2.2%
· 697
 
1.2%
. 461
 
0.8%
] 378
 
0.6%
[ 378
 
0.6%
? 185
 
0.3%
- 56
 
0.1%
Other values (26) 163
 
0.3%
Cyrillic
ValueCountFrequency (%)
р 8
 
13.1%
и 6
 
9.8%
а 5
 
8.2%
е 3
 
4.9%
м 3
 
4.9%
б 3
 
4.9%
о 3
 
4.9%
ш 3
 
4.9%
л 3
 
4.9%
Т 2
 
3.3%
Other values (18) 22
36.1%
Hiragana
ValueCountFrequency (%)
え 3
 
10.7%
さ 2
 
7.1%
く 2
 
7.1%
う 2
 
7.1%
か 2
 
7.1%
な 2
 
7.1%
の 2
 
7.1%
り 2
 
7.1%
こ 1
 
3.6%
ひ 1
 
3.6%
Other values (9) 9
32.1%
Katakana
ValueCountFrequency (%)
ィ 3
13.0%
ッ 2
 
8.7%
ク 2
 
8.7%
ン 2
 
8.7%
リ 2
 
8.7%
デ 2
 
8.7%
ナ 1
 
4.3%
ル 1
 
4.3%
ブ 1
 
4.3%
ス 1
 
4.3%
Other values (6) 6
26.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104415
58.1%
ASCII 74177
41.3%
None 702
 
0.4%
CJK 174
 
0.1%
Cyrillic 61
 
< 0.1%
Hiragana 28
 
< 0.1%
Katakana 23
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45936
61.9%
; 8575
 
11.6%
: 2239
 
3.0%
, 1303
 
1.8%
e 1222
 
1.6%
a 1153
 
1.6%
r 1087
 
1.5%
t 1038
 
1.4%
n 958
 
1.3%
i 936
 
1.3%
Other values (71) 9730
 
13.1%
Hangul
ValueCountFrequency (%)
지 5814
 
5.6%
김 5587
 
5.4%
음 4743
 
4.5%
그 4449
 
4.3%
이 4345
 
4.2%
림 4262
 
4.1%
글 3721
 
3.6%
옮 3218
 
3.1%
정 1746
 
1.7%
스 1616
 
1.5%
Other values (912) 64914
62.2%
None
ValueCountFrequency (%)
· 697
99.3%
＆ 2
 
0.3%
｜ 1
 
0.1%
〉 1
 
0.1%
〈 1
 
0.1%
CJK
ValueCountFrequency (%)
著 20
 
11.5%
文 7
 
4.0%
日 4
 
2.3%
川 3
 
1.7%
作 3
 
1.7%
明 3
 
1.7%
井 3
 
1.7%
美 3
 
1.7%
千 2
 
1.1%
編 2
 
1.1%
Other values (108) 124
71.3%
Cyrillic
ValueCountFrequency (%)
р 8
 
13.1%
и 6
 
9.8%
а 5
 
8.2%
е 3
 
4.9%
м 3
 
4.9%
б 3
 
4.9%
о 3
 
4.9%
ш 3
 
4.9%
л 3
 
4.9%
Т 2
 
3.3%
Other values (18) 22
36.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
87.5%
ㅇ 1
 
12.5%
Katakana
ValueCountFrequency (%)
ィ 3
13.0%
ッ 2
 
8.7%
ク 2
 
8.7%
ン 2
 
8.7%
リ 2
 
8.7%
デ 2
 
8.7%
ナ 1
 
4.3%
ル 1
 
4.3%
ブ 1
 
4.3%
ス 1
 
4.3%
Other values (6) 6
26.1%
Hiragana
ValueCountFrequency (%)
え 3
 
10.7%
さ 2
 
7.1%
く 2
 
7.1%
う 2
 
7.1%
か 2
 
7.1%
な 2
 
7.1%
の 2
 
7.1%
り 2
 
7.1%
こ 1
 
3.6%
ひ 1
 
3.6%
Other values (9) 9
32.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 2
100.0%

발행처
Text

Distinct3017
Distinct (%)30.2%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T08:17:12.912368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length56
Mean length5.5675703
Min length1

Characters and Unicode

Total characters55659
Distinct characters820
Distinct categories10 ?
Distinct scripts7 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1767 ?
Unique (%)17.7%

Sample

1st row창해
2nd row알에이치코리아
3rd row북극곰
4th row에디터
5th row한국가드너
ValueCountFrequency (%)
비룡소 199
 
1.7%
문학동네 194
 
1.7%
웅진씽크빅 154
 
1.3%
창비 132
 
1.2%
민음사 120
 
1.0%
위즈덤하우스 112
 
1.0%
시공주니어 110
 
1.0%
아람 90
 
0.8%
김영사 83
 
0.7%
아이세움 75
 
0.7%
Other values (2996) 10199
88.9%
2024-03-15T08:17:14.512658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1674
 
3.0%
사 1491
 
2.7%
이 1483
 
2.7%
1482
 
2.7%
북 1194
 
2.1%
어 1109
 
2.0%
o 908
 
1.6%
: 886
 
1.6%
아 813
 
1.5%
리 679
 
1.2%
Other values (810) 43940
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43335
77.9%
Lowercase Letter 6621
 
11.9%
Uppercase Letter 2128
 
3.8%
Space Separator 1482
 
2.7%
Other Punctuation 1114
 
2.0%
Close Punctuation 404
 
0.7%
Open Punctuation 404
 
0.7%
Decimal Number 160
 
0.3%
Dash Punctuation 9
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1674
 
3.9%
사 1491
 
3.4%
이 1483
 
3.4%
북 1194
 
2.8%
어 1109
 
2.6%
아 813
 
1.9%
리 679
 
1.6%
한 643
 
1.5%
비 621
 
1.4%
문 614
 
1.4%
Other values (722) 33014
76.2%
Uppercase Letter
ValueCountFrequency (%)
B 278
13.1%
H 185
 
8.7%
O 165
 
7.8%
M 146
 
6.9%
P 144
 
6.8%
S 144
 
6.8%
K 140
 
6.6%
R 117
 
5.5%
N 102
 
4.8%
U 83
 
3.9%
Other values (21) 624
29.3%
Lowercase Letter
ValueCountFrequency (%)
o 908
13.7%
e 642
 
9.7%
s 583
 
8.8%
r 567
 
8.6%
i 531
 
8.0%
n 471
 
7.1%
a 411
 
6.2%
l 319
 
4.8%
t 301
 
4.5%
k 263
 
4.0%
Other values (19) 1625
24.5%
Other Punctuation
ValueCountFrequency (%)
: 886
79.5%
? 104
 
9.3%
& 47
 
4.2%
. 25
 
2.2%
· 17
 
1.5%
' 9
 
0.8%
＆ 8
 
0.7%
, 7
 
0.6%
# 6
 
0.5%
; 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 65
40.6%
1 60
37.5%
0 10
 
6.2%
3 6
 
3.8%
6 5
 
3.1%
4 4
 
2.5%
5 3
 
1.9%
8 3
 
1.9%
7 2
 
1.2%
9 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 400
99.0%
] 4
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 400
99.0%
[ 4
 
1.0%
Space Separator
ValueCountFrequency (%)
1482
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43165
77.6%
Latin 8740
 
15.7%
Common 3575
 
6.4%
Han 154
 
0.3%
Katakana 12
 
< 0.1%
Cyrillic 9
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1674
 
3.9%
사 1491
 
3.5%
이 1483
 
3.4%
북 1194
 
2.8%
어 1109
 
2.6%
아 813
 
1.9%
리 679
 
1.6%
한 643
 
1.5%
비 621
 
1.4%
문 614
 
1.4%
Other values (645) 32844
76.1%
Han
ValueCountFrequency (%)
社 18
 
11.7%
版 15
 
9.7%
出 15
 
9.7%
文 10
 
6.5%
南 6
 
3.9%
館 4
 
2.6%
海 4
 
2.6%
中 4
 
2.6%
司 3
 
1.9%
人 3
 
1.9%
Other values (51) 72
46.8%
Latin
ValueCountFrequency (%)
o 908
 
10.4%
e 642
 
7.3%
s 583
 
6.7%
r 567
 
6.5%
i 531
 
6.1%
n 471
 
5.4%
a 411
 
4.7%
l 319
 
3.6%
t 301
 
3.4%
B 278
 
3.2%
Other values (42) 3729
42.7%
Common
ValueCountFrequency (%)
1482
41.5%
: 886
24.8%
) 400
 
11.2%
( 400
 
11.2%
? 104
 
2.9%
2 65
 
1.8%
1 60
 
1.7%
& 47
 
1.3%
. 25
 
0.7%
· 17
 
0.5%
Other values (18) 89
 
2.5%
Katakana
ValueCountFrequency (%)
ス 1
8.3%
マ 1
8.3%
ガ 1
8.3%
ジ 1
8.3%
ン 1
8.3%
ハ 1
8.3%
ウ 1
8.3%
チ 1
8.3%
ャ 1
8.3%
イ 1
8.3%
Other values (2) 2
16.7%
Cyrillic
ValueCountFrequency (%)
а 2
22.2%
Ш 1
11.1%
А 1
11.1%
Р 1
11.1%
К 1
11.1%
Н 1
11.1%
с 1
11.1%
ф 1
11.1%
Hiragana
ValueCountFrequency (%)
ひ 1
25.0%
さ 1
25.0%
か 1
25.0%
た 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43165
77.6%
ASCII 12290
 
22.1%
CJK 154
 
0.3%
None 25
 
< 0.1%
Katakana 12
 
< 0.1%
Cyrillic 9
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1674
 
3.9%
사 1491
 
3.5%
이 1483
 
3.4%
북 1194
 
2.8%
어 1109
 
2.6%
아 813
 
1.9%
리 679
 
1.6%
한 643
 
1.5%
비 621
 
1.4%
문 614
 
1.4%
Other values (645) 32844
76.1%
ASCII
ValueCountFrequency (%)
1482
 
12.1%
o 908
 
7.4%
: 886
 
7.2%
e 642
 
5.2%
s 583
 
4.7%
r 567
 
4.6%
i 531
 
4.3%
n 471
 
3.8%
a 411
 
3.3%
) 400
 
3.3%
Other values (68) 5409
44.0%
CJK
ValueCountFrequency (%)
社 18
 
11.7%
版 15
 
9.7%
出 15
 
9.7%
文 10
 
6.5%
南 6
 
3.9%
館 4
 
2.6%
海 4
 
2.6%
中 4
 
2.6%
司 3
 
1.9%
人 3
 
1.9%
Other values (51) 72
46.8%
None
ValueCountFrequency (%)
· 17
68.0%
＆ 8
32.0%
Cyrillic
ValueCountFrequency (%)
а 2
22.2%
Ш 1
11.1%
А 1
11.1%
Р 1
11.1%
К 1
11.1%
Н 1
11.1%
с 1
11.1%
ф 1
11.1%
Katakana
ValueCountFrequency (%)
ス 1
8.3%
マ 1
8.3%
ガ 1
8.3%
ジ 1
8.3%
ン 1
8.3%
ハ 1
8.3%
ウ 1
8.3%
チ 1
8.3%
ャ 1
8.3%
イ 1
8.3%
Other values (2) 2
16.7%
Hiragana
ValueCountFrequency (%)
ひ 1
25.0%
さ 1
25.0%
か 1
25.0%
た 1
25.0%

발행연도
Text

Distinct75
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T08:17:15.207238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.070007
Min length3

Characters and Unicode

Total characters40696
Distinct characters22
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.2%

Sample

1st row2011
2nd row2014
3rd row2012
4th row2014
5th row[2017]
ValueCountFrequency (%)
2012 930
 
9.3%
2016 888
 
8.9%
2014 860
 
8.6%
2017 821
 
8.2%
2018 773
 
7.7%
2011 764
 
7.6%
2019 702
 
7.0%
2013 641
 
6.4%
2020 627
 
6.3%
2010 617
 
6.2%
Other values (51) 2389
23.9%
2024-03-15T08:17:16.380455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12470
30.6%
0 12232
30.1%
1 8987
22.1%
9 1155
 
2.8%
8 1030
 
2.5%
6 1002
 
2.5%
7 967
 
2.4%
4 916
 
2.3%
3 679
 
1.7%
5 664
 
1.6%
Other values (12) 594
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40102
98.5%
Close Punctuation 259
 
0.6%
Open Punctuation 259
 
0.6%
Lowercase Letter 31
 
0.1%
Other Punctuation 18
 
< 0.1%
Space Separator 13
 
< 0.1%
Other Letter 11
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12470
31.1%
0 12232
30.5%
1 8987
22.4%
9 1155
 
2.9%
8 1030
 
2.6%
6 1002
 
2.5%
7 967
 
2.4%
4 916
 
2.3%
3 679
 
1.7%
5 664
 
1.7%
Close Punctuation
ValueCountFrequency (%)
] 253
97.7%
) 6
 
2.3%
Open Punctuation
ValueCountFrequency (%)
[ 253
97.7%
( 6
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
c 30
96.8%
m 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 16
88.9%
: 2
 
11.1%
Other Letter
ValueCountFrequency (%)
년 8
72.7%
쇄 3
 
27.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40654
99.9%
Latin 31
 
0.1%
Hangul 11
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 12470
30.7%
0 12232
30.1%
1 8987
22.1%
9 1155
 
2.8%
8 1030
 
2.5%
6 1002
 
2.5%
7 967
 
2.4%
4 916
 
2.3%
3 679
 
1.7%
5 664
 
1.6%
Other values (8) 552
 
1.4%
Latin
ValueCountFrequency (%)
c 30
96.8%
m 1
 
3.2%
Hangul
ValueCountFrequency (%)
년 8
72.7%
쇄 3
 
27.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40685
> 99.9%
Hangul 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12470
30.7%
0 12232
30.1%
1 8987
22.1%
9 1155
 
2.8%
8 1030
 
2.5%
6 1002
 
2.5%
7 967
 
2.4%
4 916
 
2.3%
3 679
 
1.7%
5 664
 
1.6%
Other values (10) 583
 
1.4%
Hangul
ValueCountFrequency (%)
년 8
72.7%
쇄 3
 
27.3%

관리기간명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상남도 통영시 평생학습관
10000 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 통영시 평생학습관
2nd row경상남도 통영시 평생학습관
3rd row경상남도 통영시 평생학습관
4th row경상남도 통영시 평생학습관
5th row경상남도 통영시 평생학습관

Common Values

ValueCountFrequency (%)
경상남도 통영시 평생학습관 10000
100.0%

Length

2024-03-15T08:17:16.916886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:17:17.228620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 10000
33.3%
통영시 10000
33.3%
평생학습관 10000
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-02-07
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-07
2nd row2024-02-07
3rd row2024-02-07
4th row2024-02-07
5th row2024-02-07

Common Values

ValueCountFrequency (%)
2024-02-07 10000
100.0%

Length

2024-03-15T08:17:17.562286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:17:17.882886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 10000
100.0%

Missing values

2024-03-15T08:17:03.350430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:17:03.784959image/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.
2024-03-15T08:17:04.124899image/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

도서관명등록번호자료명저자명발행처발행연도관리기간명데이터기준일자
640통영시립충무도서관HM0000000968검은 집기시 유스케 지음 ; 이선희 옮김창해2011경상남도 통영시 평생학습관2024-02-07
25140통영시립충무도서관HM0000031346이기적인 다이어트 상담소 : 당신의 다이어트에 딴지를 걸다남세희, 김미구 공저알에이치코리아2014경상남도 통영시 평생학습관2024-02-07
6454통영시립충무도서관HM0000008196어린이 성경베르너 라우비 글 ; 안네게르트 푹스후버 그림 ; 손성현 옮김북극곰2012경상남도 통영시 평생학습관2024-02-07
21211통영시립충무도서관HM0000026153고맙다 사랑, 그립다 그대 = Thank you & miss you, my love : 우리가 잊어버린 사랑을 찾아 떠나는 감성여행김현 지음에디터2014경상남도 통영시 평생학습관2024-02-07
53689통영시립충무도서관HM0000061674레모네이드 한 잔 마실까요 : 알렉산드라 스콧은정아 글 ; 김소영 그림한국가드너[2017]경상남도 통영시 평생학습관2024-02-07
20101통영시립충무도서관HM0000024898내 나이 마흔, 이솝우화에서 길을 찾다 : 더불어 살아가는 지혜를 갖춰야 할 때강상구 지음원앤원콘텐츠그룹2013경상남도 통영시 평생학습관2024-02-07
22211통영시립충무도서관HM0000027635그림과 소설이 만났을 때 : 한국 고소설도 특강간호윤 지음새문사2014경상남도 통영시 평생학습관2024-02-07
59390통영시립충무도서관HM0000067465말놀이 : 말하면서 놀자 이렇게윤&진 글 ; 박채연,정선웅 [공]그림꼬마싱긋2020경상남도 통영시 평생학습관2024-02-07
12952통영시립충무도서관HM0000015902절반의 고독 : 이승택 시집이승택 지음AJ2010경상남도 통영시 평생학습관2024-02-07
25144통영시립충무도서관HM0000031350셜록 홈즈 베스트 걸작선아서 코난 도일 지음 ; 김은영 편역꿈과희망2014경상남도 통영시 평생학습관2024-02-07
도서관명등록번호자료명저자명발행처발행연도관리기간명데이터기준일자
36743통영시립충무도서관HM0000044038마녀 : 서구 문명은 왜 마녀를 필요로 했는가주경철 지음생각의힘2016경상남도 통영시 평생학습관2024-02-07
17601통영시립충무도서관HM0000022019복은 부르고 액은 쫓고정연학 글 ; 강혜숙 그림웅진다책2012경상남도 통영시 평생학습관2024-02-07
52815통영시립충무도서관HM0000060783어장을 나온 물고기. 2신새미위즈덤하우스미디어그룹2019경상남도 통영시 평생학습관2024-02-07
62219통영시립충무도서관HM0000070317Let's go visiting. 1-14by Sue Williams ; illustrated by Julie VivasTWOPONDS2018경상남도 통영시 평생학습관2024-02-07
50153통영시립충무도서관HM0000058078(봄 여름 가을 겨울) 그림으로 만나는 사계절 24절기이여희, 김수연, 정수, 박연경머스트비2019경상남도 통영시 평생학습관2024-02-07
27866통영시립충무도서관HM0000034295관찰의 인문학 : 같은 길을 걸어도 다른 세상을 보는 법알렉산드라 호로비츠 지음 ; 박다솜 옮김Seedpaper(시드페이퍼)2015경상남도 통영시 평생학습관2024-02-07
60885통영시립충무도서관HM0000068975이클립스 : 스테프니 메이어 장편소설스테프니 메이어 지음 ; 윤정숙 옮김북폴리오2019경상남도 통영시 평생학습관2024-02-07
51762통영시립충무도서관HM0000059708프랑켄슈타인메리 셸리 지음 ; 김선형 옮김문학동네2019경상남도 통영시 평생학습관2024-02-07
25039통영시립충무도서관HM0000031240내 마음은 호수 : 박경리 장편소설박경리 지음마로니에북스2014경상남도 통영시 평생학습관2024-02-07
27056통영시립충무도서관HM0000033405누나 : 하일지 장편소설하일지: 지은이민음사2014경상남도 통영시 평생학습관2024-02-07