Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory703.1 KiB
Average record size in memory72.0 B

Variable types

Categorical2
Text5
DateTime1

Dataset

Description도서관법에 따라 통영시립충무도서관에서 수집∙정리∙보존하는 자료 중 공중에게 제공가능 한 서적 정보(자료명, 저자명, 발행처 등)
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15048957

Alerts

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

Reproduction

Analysis started2024-03-13 00:12:04.620899
Analysis finished2024-03-13 00:12:07.081756
Duration2.46 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

2024-03-13T09:12:07.141137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:12:07.225022image/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
2024-03-13T09:12:07.380882image/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 rowHM0000068417
2nd rowHM0000065125
3rd rowHM0000021379
4th rowHM0000072005
5th rowHM0000012437
ValueCountFrequency (%)
hm0000068417 1
 
< 0.1%
hm0000002830 1
 
< 0.1%
hm0000005826 1
 
< 0.1%
hm0000026756 1
 
< 0.1%
hm0000033741 1
 
< 0.1%
hm0000057015 1
 
< 0.1%
hm0000069190 1
 
< 0.1%
hm0000069510 1
 
< 0.1%
hm0000041152 1
 
< 0.1%
hm0000006002 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-13T09:12:07.720480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55208
46.0%
H 10000
 
8.3%
M 10000
 
8.3%
6 5474
 
4.6%
2 5462
 
4.6%
5 5432
 
4.5%
3 5411
 
4.5%
1 5346
 
4.5%
4 5324
 
4.4%
7 4550
 
3.8%
Other values (2) 7793
 
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 55208
55.2%
6 5474
 
5.5%
2 5462
 
5.5%
5 5432
 
5.4%
3 5411
 
5.4%
1 5346
 
5.3%
4 5324
 
5.3%
7 4550
 
4.5%
9 3918
 
3.9%
8 3875
 
3.9%
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 55208
55.2%
6 5474
 
5.5%
2 5462
 
5.5%
5 5432
 
5.4%
3 5411
 
5.4%
1 5346
 
5.3%
4 5324
 
5.3%
7 4550
 
4.5%
9 3918
 
3.9%
8 3875
 
3.9%
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 55208
46.0%
H 10000
 
8.3%
M 10000
 
8.3%
6 5474
 
4.6%
2 5462
 
4.6%
5 5432
 
4.5%
3 5411
 
4.5%
1 5346
 
4.5%
4 5324
 
4.4%
7 4550
 
3.8%
Other values (2) 7793
 
6.5%
Distinct9959
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T09:12:08.031531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length89
Mean length21.689
Min length1

Characters and Unicode

Total characters216890
Distinct characters1775
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks15 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9922 ?
Unique (%)99.2%

Sample

1st row(단 한걸음의 차이) 자신감 : 내가 원하는 삶을 살아가기 위한 자신감 수업
2nd row비밀의 숲. 2-하 : 이수연 대본집
3rd row들숨 날숨
4th row열 살, 사랑
5th row일본어 말문트기 30일 패턴훈련
ValueCountFrequency (%)
4494
 
7.9%
이야기 439
 
0.8%
장편소설 356
 
0.6%
1 308
 
0.5%
2 279
 
0.5%
위한 259
 
0.5%
the 209
 
0.4%
198
 
0.3%
우리 197
 
0.3%
148
 
0.3%
Other values (22883) 49908
87.9%
2024-03-13T09:12:08.531092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49858
 
23.0%
: 4003
 
1.8%
3977
 
1.8%
3726
 
1.7%
2888
 
1.3%
2167
 
1.0%
2024
 
0.9%
1858
 
0.9%
1835
 
0.8%
1829
 
0.8%
Other values (1765) 142725
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132740
61.2%
Space Separator 49858
 
23.0%
Lowercase Letter 14756
 
6.8%
Other Punctuation 9365
 
4.3%
Decimal Number 4059
 
1.9%
Uppercase Letter 2578
 
1.2%
Open Punctuation 1421
 
0.7%
Close Punctuation 1421
 
0.7%
Math Symbol 505
 
0.2%
Dash Punctuation 154
 
0.1%
Other values (6) 33
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3977
 
3.0%
3726
 
2.8%
2888
 
2.2%
2167
 
1.6%
2024
 
1.5%
1858
 
1.4%
1835
 
1.4%
1829
 
1.4%
1790
 
1.3%
1759
 
1.3%
Other values (1619) 108887
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 1719
11.6%
a 1309
 
8.9%
o 1265
 
8.6%
n 1136
 
7.7%
t 1057
 
7.2%
i 1048
 
7.1%
r 966
 
6.5%
s 911
 
6.2%
h 686
 
4.6%
l 646
 
4.4%
Other values (41) 4013
27.2%
Uppercase Letter
ValueCountFrequency (%)
T 250
 
9.7%
S 211
 
8.2%
B 169
 
6.6%
A 148
 
5.7%
E 134
 
5.2%
M 132
 
5.1%
C 132
 
5.1%
D 130
 
5.0%
W 130
 
5.0%
P 127
 
4.9%
Other values (21) 1015
39.4%
Other Punctuation
ValueCountFrequency (%)
: 4003
42.7%
, 1768
18.9%
. 1492
 
15.9%
? 918
 
9.8%
! 671
 
7.2%
· 200
 
2.1%
' 169
 
1.8%
& 40
 
0.4%
; 36
 
0.4%
% 22
 
0.2%
Other values (9) 46
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 1088
26.8%
2 689
17.0%
0 645
15.9%
3 396
 
9.8%
5 299
 
7.4%
4 253
 
6.2%
6 202
 
5.0%
9 167
 
4.1%
8 167
 
4.1%
7 153
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 405
80.2%
~ 51
 
10.1%
< 17
 
3.4%
> 17
 
3.4%
+ 11
 
2.2%
× 3
 
0.6%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1380
97.1%
[ 25
 
1.8%
7
 
0.5%
5
 
0.4%
3
 
0.2%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1380
97.1%
] 25
 
1.8%
7
 
0.5%
5
 
0.4%
3
 
0.2%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
5
45.5%
3
27.3%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Other Symbol
ValueCountFrequency (%)
3
37.5%
3
37.5%
2
25.0%
Final Punctuation
ValueCountFrequency (%)
4
66.7%
2
33.3%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
49858
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132235
61.0%
Common 66805
30.8%
Latin 17241
 
7.9%
Han 399
 
0.2%
Cyrillic 104
 
< 0.1%
Hiragana 70
 
< 0.1%
Katakana 36
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3977
 
3.0%
3726
 
2.8%
2888
 
2.2%
2167
 
1.6%
2024
 
1.5%
1858
 
1.4%
1835
 
1.4%
1829
 
1.4%
1790
 
1.4%
1759
 
1.3%
Other values (1309) 108382
82.0%
Han
ValueCountFrequency (%)
12
 
3.0%
8
 
2.0%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
5
 
1.3%
5
 
1.3%
Other values (236) 332
83.2%
Common
ValueCountFrequency (%)
49858
74.6%
: 4003
 
6.0%
, 1768
 
2.6%
. 1492
 
2.2%
( 1380
 
2.1%
) 1380
 
2.1%
1 1088
 
1.6%
? 918
 
1.4%
2 689
 
1.0%
! 671
 
1.0%
Other values (49) 3558
 
5.3%
Latin
ValueCountFrequency (%)
e 1719
 
10.0%
a 1309
 
7.6%
o 1265
 
7.3%
n 1136
 
6.6%
t 1057
 
6.1%
i 1048
 
6.1%
r 966
 
5.6%
s 911
 
5.3%
h 686
 
4.0%
l 646
 
3.7%
Other values (48) 6498
37.7%
Hiragana
ValueCountFrequency (%)
5
 
7.1%
5
 
7.1%
4
 
5.7%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
Other values (28) 35
50.0%
Cyrillic
ValueCountFrequency (%)
и 10
 
9.6%
а 9
 
8.7%
р 7
 
6.7%
к 7
 
6.7%
с 7
 
6.7%
н 6
 
5.8%
т 6
 
5.8%
е 6
 
5.8%
у 5
 
4.8%
о 5
 
4.8%
Other values (19) 36
34.6%
Katakana
ValueCountFrequency (%)
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
Other values (16) 16
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132220
61.0%
ASCII 83753
38.6%
CJK 391
 
0.2%
None 255
 
0.1%
Cyrillic 104
 
< 0.1%
Hiragana 70
 
< 0.1%
Katakana 36
 
< 0.1%
Punctuation 18
 
< 0.1%
Compat Jamo 15
 
< 0.1%
Number Forms 11
 
< 0.1%
Other values (5) 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49858
59.5%
: 4003
 
4.8%
, 1768
 
2.1%
e 1719
 
2.1%
. 1492
 
1.8%
( 1380
 
1.6%
) 1380
 
1.6%
a 1309
 
1.6%
o 1265
 
1.5%
n 1136
 
1.4%
Other values (76) 18443
 
22.0%
Hangul
ValueCountFrequency (%)
3977
 
3.0%
3726
 
2.8%
2888
 
2.2%
2167
 
1.6%
2024
 
1.5%
1858
 
1.4%
1835
 
1.4%
1829
 
1.4%
1790
 
1.4%
1759
 
1.3%
Other values (1304) 108367
82.0%
None
ValueCountFrequency (%)
· 200
78.4%
7
 
2.7%
7
 
2.7%
đ 7
 
2.7%
5
 
2.0%
5
 
2.0%
5
 
2.0%
4
 
1.6%
3
 
1.2%
3
 
1.2%
Other values (7) 9
 
3.5%
CJK
ValueCountFrequency (%)
12
 
3.1%
8
 
2.0%
8
 
2.0%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
5
 
1.3%
5
 
1.3%
Other values (230) 324
82.9%
Cyrillic
ValueCountFrequency (%)
и 10
 
9.6%
а 9
 
8.7%
р 7
 
6.7%
к 7
 
6.7%
с 7
 
6.7%
н 6
 
5.8%
т 6
 
5.8%
е 6
 
5.8%
у 5
 
4.8%
о 5
 
4.8%
Other values (19) 36
34.6%
Punctuation
ValueCountFrequency (%)
9
50.0%
4
22.2%
2
 
11.1%
2
 
11.1%
1
 
5.6%
Hiragana
ValueCountFrequency (%)
5
 
7.1%
5
 
7.1%
4
 
5.7%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
Other values (28) 35
50.0%
Number Forms
ValueCountFrequency (%)
5
45.5%
3
27.3%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
4
26.7%
4
26.7%
3
20.0%
3
20.0%
1
 
6.7%
Enclosed Alphanum
ValueCountFrequency (%)
3
100.0%
Geometric Shapes
ValueCountFrequency (%)
3
100.0%
Katakana
ValueCountFrequency (%)
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
2
 
5.6%
Other values (16) 16
44.4%
Misc Symbols
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
25.0%
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct9150
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T09:12:08.821774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length296
Median length124
Mean length17.6972
Min length2

Characters and Unicode

Total characters176972
Distinct characters1227
Distinct categories12 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8629 ?
Unique (%)86.3%

Sample

1st row샤를 페펭 지음 ; 김보희 옮김
2nd row이수연 원작
3rd row가코 사토시 글, 그림
4th row박효미 ; 그림: 유경화
5th row조정순 지음
ValueCountFrequency (%)
8416
 
16.3%
지음 4470
 
8.7%
그림 3347
 
6.5%
옮김 2969
 
5.8%
2730
 
5.3%
글·그림 579
 
1.1%
by 451
 
0.9%
지은이 404
 
0.8%
옮긴이 227
 
0.4%
엮음 166
 
0.3%
Other values (13983) 27799
53.9%
2024-03-13T09:12:09.250116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45203
25.5%
; 8358
 
4.7%
5844
 
3.3%
5596
 
3.2%
4736
 
2.7%
4363
 
2.5%
4282
 
2.4%
4164
 
2.4%
3636
 
2.1%
3239
 
1.8%
Other values (1217) 87551
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102822
58.1%
Space Separator 45203
25.5%
Other Punctuation 13243
 
7.5%
Lowercase Letter 12503
 
7.1%
Uppercase Letter 2336
 
1.3%
Close Punctuation 353
 
0.2%
Open Punctuation 352
 
0.2%
Decimal Number 66
 
< 0.1%
Dash Punctuation 47
 
< 0.1%
Math Symbol 38
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5844
 
5.7%
5596
 
5.4%
4736
 
4.6%
4363
 
4.2%
4282
 
4.2%
4164
 
4.0%
3636
 
3.5%
3239
 
3.2%
1676
 
1.6%
1593
 
1.5%
Other values (1101) 63693
61.9%
Lowercase Letter
ValueCountFrequency (%)
e 1280
 
10.2%
a 1106
 
8.8%
r 1069
 
8.5%
t 1020
 
8.2%
n 970
 
7.8%
i 953
 
7.6%
l 776
 
6.2%
o 724
 
5.8%
y 717
 
5.7%
s 616
 
4.9%
Other values (32) 3272
26.2%
Uppercase Letter
ValueCountFrequency (%)
B 223
 
9.5%
S 198
 
8.5%
M 186
 
8.0%
A 185
 
7.9%
R 151
 
6.5%
H 140
 
6.0%
J 134
 
5.7%
P 119
 
5.1%
D 112
 
4.8%
C 110
 
4.7%
Other values (21) 778
33.3%
Other Punctuation
ValueCountFrequency (%)
; 8358
63.1%
: 2169
 
16.4%
, 1153
 
8.7%
· 693
 
5.2%
. 498
 
3.8%
? 338
 
2.6%
& 12
 
0.1%
/ 10
 
0.1%
' 6
 
< 0.1%
2
 
< 0.1%
Other values (3) 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 16
24.2%
2 14
21.2%
0 7
10.6%
5 6
 
9.1%
8 5
 
7.6%
3 4
 
6.1%
4 4
 
6.1%
9 4
 
6.1%
7 3
 
4.5%
6 3
 
4.5%
Close Punctuation
ValueCountFrequency (%)
] 335
94.9%
) 14
 
4.0%
2
 
0.6%
1
 
0.3%
1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
[ 335
95.2%
( 14
 
4.0%
2
 
0.6%
1
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 18
47.4%
> 18
47.4%
+ 1
 
2.6%
~ 1
 
2.6%
Other Symbol
ValueCountFrequency (%)
5
62.5%
1
 
12.5%
1
 
12.5%
1
 
12.5%
Space Separator
ValueCountFrequency (%)
45203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102554
57.9%
Common 59311
33.5%
Latin 14804
 
8.4%
Han 226
 
0.1%
Cyrillic 35
 
< 0.1%
Katakana 27
 
< 0.1%
Hiragana 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5844
 
5.7%
5596
 
5.5%
4736
 
4.6%
4363
 
4.3%
4282
 
4.2%
4164
 
4.1%
3636
 
3.5%
3239
 
3.2%
1676
 
1.6%
1593
 
1.6%
Other values (923) 63425
61.8%
Han
ValueCountFrequency (%)
14
 
6.2%
13
 
5.8%
6
 
2.7%
5
 
2.2%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (134) 164
72.6%
Latin
ValueCountFrequency (%)
e 1280
 
8.6%
a 1106
 
7.5%
r 1069
 
7.2%
t 1020
 
6.9%
n 970
 
6.6%
i 953
 
6.4%
l 776
 
5.2%
o 724
 
4.9%
y 717
 
4.8%
s 616
 
4.2%
Other values (42) 5573
37.6%
Common
ValueCountFrequency (%)
45203
76.2%
; 8358
 
14.1%
: 2169
 
3.7%
, 1153
 
1.9%
· 693
 
1.2%
. 498
 
0.8%
? 338
 
0.6%
] 335
 
0.6%
[ 335
 
0.6%
- 47
 
0.1%
Other values (33) 182
 
0.3%
Cyrillic
ValueCountFrequency (%)
а 5
14.3%
о 4
 
11.4%
и 3
 
8.6%
л 3
 
8.6%
ь 2
 
5.7%
в 2
 
5.7%
е 2
 
5.7%
г 1
 
2.9%
Г 1
 
2.9%
ч 1
 
2.9%
Other values (11) 11
31.4%
Katakana
ValueCountFrequency (%)
3
 
11.1%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (11) 11
40.7%
Hiragana
ValueCountFrequency (%)
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Other values (3) 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102547
57.9%
ASCII 73404
41.5%
None 703
 
0.4%
CJK 224
 
0.1%
Cyrillic 35
 
< 0.1%
Katakana 27
 
< 0.1%
Hiragana 15
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45203
61.6%
; 8358
 
11.4%
: 2169
 
3.0%
e 1280
 
1.7%
, 1153
 
1.6%
a 1106
 
1.5%
r 1069
 
1.5%
t 1020
 
1.4%
n 970
 
1.3%
i 953
 
1.3%
Other values (73) 10123
 
13.8%
Hangul
ValueCountFrequency (%)
5844
 
5.7%
5596
 
5.5%
4736
 
4.6%
4363
 
4.3%
4282
 
4.2%
4164
 
4.1%
3636
 
3.5%
3239
 
3.2%
1676
 
1.6%
1593
 
1.6%
Other values (922) 63418
61.8%
None
ValueCountFrequency (%)
· 693
98.6%
2
 
0.3%
2
 
0.3%
2
 
0.3%
1
 
0.1%
1
 
0.1%
1
 
0.1%
1
 
0.1%
CJK
ValueCountFrequency (%)
14
 
6.2%
13
 
5.8%
6
 
2.7%
5
 
2.2%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (132) 162
72.3%
Compat Jamo
ValueCountFrequency (%)
7
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
5
100.0%
Cyrillic
ValueCountFrequency (%)
а 5
14.3%
о 4
 
11.4%
и 3
 
8.6%
л 3
 
8.6%
ь 2
 
5.7%
в 2
 
5.7%
е 2
 
5.7%
г 1
 
2.9%
Г 1
 
2.9%
ч 1
 
2.9%
Other values (11) 11
31.4%
Katakana
ValueCountFrequency (%)
3
 
11.1%
2
 
7.4%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (11) 11
40.7%
Hiragana
ValueCountFrequency (%)
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Other values (3) 3
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%
Box Drawing
ValueCountFrequency (%)
1
100.0%
Misc Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct3006
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T09:12:09.472287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length70
Mean length5.5757
Min length1

Characters and Unicode

Total characters55757
Distinct characters834
Distinct categories10 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1755 ?
Unique (%)17.5%

Sample

1st row아이템하우스
2nd row북로그컴퍼니
3rd row보리
4th row웅진주니어 :웅진씽크빅
5th row길벗이지톡
ValueCountFrequency (%)
비룡소 212
 
1.9%
문학동네 193
 
1.7%
창비 151
 
1.3%
웅진씽크빅 145
 
1.3%
시공주니어 131
 
1.1%
민음사 115
 
1.0%
위즈덤하우스 115
 
1.0%
김영사 99
 
0.9%
키즈엠 86
 
0.8%
아람 81
 
0.7%
Other values (2986) 10124
88.4%
2024-03-13T09:12:09.811888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1724
 
3.1%
1511
 
2.7%
1489
 
2.7%
1460
 
2.6%
1345
 
2.4%
1149
 
2.1%
: 949
 
1.7%
o 872
 
1.6%
751
 
1.3%
666
 
1.2%
Other values (824) 43841
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43640
78.3%
Lowercase Letter 6333
 
11.4%
Uppercase Letter 2093
 
3.8%
Space Separator 1460
 
2.6%
Other Punctuation 1284
 
2.3%
Open Punctuation 384
 
0.7%
Close Punctuation 382
 
0.7%
Decimal Number 170
 
0.3%
Dash Punctuation 7
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1724
 
4.0%
1511
 
3.5%
1489
 
3.4%
1345
 
3.1%
1149
 
2.6%
751
 
1.7%
666
 
1.5%
662
 
1.5%
654
 
1.5%
619
 
1.4%
Other values (729) 33070
75.8%
Lowercase Letter
ValueCountFrequency (%)
o 872
13.8%
e 593
 
9.4%
s 588
 
9.3%
r 524
 
8.3%
i 512
 
8.1%
n 459
 
7.2%
a 401
 
6.3%
l 290
 
4.6%
t 276
 
4.4%
k 248
 
3.9%
Other values (26) 1570
24.8%
Uppercase Letter
ValueCountFrequency (%)
B 283
13.5%
H 168
 
8.0%
O 152
 
7.3%
S 149
 
7.1%
M 147
 
7.0%
K 131
 
6.3%
P 127
 
6.1%
R 105
 
5.0%
N 100
 
4.8%
U 96
 
4.6%
Other values (21) 635
30.3%
Other Punctuation
ValueCountFrequency (%)
: 949
73.9%
? 203
 
15.8%
& 55
 
4.3%
. 23
 
1.8%
' 12
 
0.9%
· 11
 
0.9%
9
 
0.7%
; 7
 
0.5%
, 7
 
0.5%
# 6
 
0.5%
Other values (2) 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 77
45.3%
1 65
38.2%
0 10
 
5.9%
4 9
 
5.3%
6 4
 
2.4%
9 2
 
1.2%
5 1
 
0.6%
3 1
 
0.6%
8 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 380
99.0%
[ 4
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 379
99.2%
] 3
 
0.8%
Space Separator
ValueCountFrequency (%)
1460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43395
77.8%
Latin 8409
 
15.1%
Common 3691
 
6.6%
Han 228
 
0.4%
Cyrillic 17
 
< 0.1%
Katakana 12
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1724
 
4.0%
1511
 
3.5%
1489
 
3.4%
1345
 
3.1%
1149
 
2.6%
751
 
1.7%
666
 
1.5%
662
 
1.5%
654
 
1.5%
619
 
1.4%
Other values (631) 32825
75.6%
Han
ValueCountFrequency (%)
29
 
12.7%
21
 
9.2%
20
 
8.8%
13
 
5.7%
9
 
3.9%
6
 
2.6%
5
 
2.2%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (71) 113
49.6%
Latin
ValueCountFrequency (%)
o 872
 
10.4%
e 593
 
7.1%
s 588
 
7.0%
r 524
 
6.2%
i 512
 
6.1%
n 459
 
5.5%
a 401
 
4.8%
l 290
 
3.4%
B 283
 
3.4%
t 276
 
3.3%
Other values (42) 3611
42.9%
Common
ValueCountFrequency (%)
1460
39.6%
: 949
25.7%
( 380
 
10.3%
) 379
 
10.3%
? 203
 
5.5%
2 77
 
2.1%
1 65
 
1.8%
& 55
 
1.5%
. 23
 
0.6%
' 12
 
0.3%
Other values (18) 88
 
2.4%
Cyrillic
ValueCountFrequency (%)
а 2
 
11.8%
и 2
 
11.8%
в 1
 
5.9%
л 1
 
5.9%
о 1
 
5.9%
р 1
 
5.9%
д 1
 
5.9%
с 1
 
5.9%
г 1
 
5.9%
н 1
 
5.9%
Other values (5) 5
29.4%
Katakana
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%
Hiragana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43393
77.8%
ASCII 12080
 
21.7%
CJK 228
 
0.4%
None 20
 
< 0.1%
Cyrillic 17
 
< 0.1%
Katakana 12
 
< 0.1%
Hiragana 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1724
 
4.0%
1511
 
3.5%
1489
 
3.4%
1345
 
3.1%
1149
 
2.6%
751
 
1.7%
666
 
1.5%
662
 
1.5%
654
 
1.5%
619
 
1.4%
Other values (629) 32823
75.6%
ASCII
ValueCountFrequency (%)
1460
 
12.1%
: 949
 
7.9%
o 872
 
7.2%
e 593
 
4.9%
s 588
 
4.9%
r 524
 
4.3%
i 512
 
4.2%
n 459
 
3.8%
a 401
 
3.3%
( 380
 
3.1%
Other values (68) 5342
44.2%
CJK
ValueCountFrequency (%)
29
 
12.7%
21
 
9.2%
20
 
8.8%
13
 
5.7%
9
 
3.9%
6
 
2.6%
5
 
2.2%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (71) 113
49.6%
None
ValueCountFrequency (%)
· 11
55.0%
9
45.0%
Cyrillic
ValueCountFrequency (%)
а 2
 
11.8%
и 2
 
11.8%
в 1
 
5.9%
л 1
 
5.9%
о 1
 
5.9%
р 1
 
5.9%
д 1
 
5.9%
с 1
 
5.9%
г 1
 
5.9%
н 1
 
5.9%
Other values (5) 5
29.4%
Katakana
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%
Hiragana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T09:12:09.955107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.0708
Min length1

Characters and Unicode

Total characters40708
Distinct characters25
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)0.3%

Sample

1st row2020
2nd row2020
3rd row2012
4th row2022
5th row2012
ValueCountFrequency (%)
2012 920
 
9.2%
2016 873
 
8.7%
2014 840
 
8.4%
2011 808
 
8.1%
2018 749
 
7.5%
2017 741
 
7.4%
2019 738
 
7.4%
2013 661
 
6.6%
2015 652
 
6.5%
2010 609
 
6.1%
Other values (55) 2419
24.2%
2024-03-13T09:12:10.201362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12429
30.5%
0 12267
30.1%
1 9003
22.1%
9 1174
 
2.9%
8 1044
 
2.6%
6 990
 
2.4%
4 904
 
2.2%
7 881
 
2.2%
5 724
 
1.8%
3 705
 
1.7%
Other values (15) 587
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40121
98.6%
Open Punctuation 257
 
0.6%
Close Punctuation 257
 
0.6%
Lowercase Letter 27
 
0.1%
Other Letter 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%
Space Separator 10
 
< 0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12429
31.0%
0 12267
30.6%
1 9003
22.4%
9 1174
 
2.9%
8 1044
 
2.6%
6 990
 
2.5%
4 904
 
2.3%
7 881
 
2.2%
5 724
 
1.8%
3 705
 
1.8%
Other Letter
ValueCountFrequency (%)
5
31.2%
4
25.0%
2
 
12.5%
2
 
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
[ 251
97.7%
( 6
 
2.3%
Close Punctuation
ValueCountFrequency (%)
] 251
97.7%
) 6
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
c 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40665
99.9%
Latin 27
 
0.1%
Hangul 13
 
< 0.1%
Han 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 12429
30.6%
0 12267
30.2%
1 9003
22.1%
9 1174
 
2.9%
8 1044
 
2.6%
6 990
 
2.4%
4 904
 
2.2%
7 881
 
2.2%
5 724
 
1.8%
3 705
 
1.7%
Other values (7) 544
 
1.3%
Hangul
ValueCountFrequency (%)
5
38.5%
4
30.8%
2
 
15.4%
2
 
15.4%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Latin
ValueCountFrequency (%)
c 27
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40692
> 99.9%
Hangul 13
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12429
30.5%
0 12267
30.1%
1 9003
22.1%
9 1174
 
2.9%
8 1044
 
2.6%
6 990
 
2.4%
4 904
 
2.2%
7 881
 
2.2%
5 724
 
1.8%
3 705
 
1.7%
Other values (8) 571
 
1.4%
Hangul
ValueCountFrequency (%)
5
38.5%
4
30.8%
2
 
15.4%
2
 
15.4%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

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

2024-03-13T09:12:10.304603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:12:10.389655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 10000
33.3%
통영시 10000
33.3%
평생학습관 10000
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-02-07 00:00:00
Maximum2024-02-07 00:00:00
2024-03-13T09:12:10.460681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:10.547721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-13T09:12:06.884918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:12:07.020659image/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

도서관명등록번호자료명저자명발행처발행연도관리기간명데이터기준일자
60330통영시립충무도서관HM0000068417(단 한걸음의 차이) 자신감 : 내가 원하는 삶을 살아가기 위한 자신감 수업샤를 페펭 지음 ; 김보희 옮김아이템하우스2020경상남도 통영시 평생학습관2024-02-07
57083통영시립충무도서관HM0000065125비밀의 숲. 2-하 : 이수연 대본집이수연 원작북로그컴퍼니2020경상남도 통영시 평생학습관2024-02-07
16982통영시립충무도서관HM0000021379들숨 날숨가코 사토시 글, 그림보리2012경상남도 통영시 평생학습관2024-02-07
63891통영시립충무도서관HM0000072005열 살, 사랑박효미 ; 그림: 유경화웅진주니어 :웅진씽크빅2022경상남도 통영시 평생학습관2024-02-07
10079통영시립충무도서관HM0000012437일본어 말문트기 30일 패턴훈련조정순 지음길벗이지톡2012경상남도 통영시 평생학습관2024-02-07
22524통영시립충무도서관HM0000028082모리와 함께한 화요일[미치 앨봄 지음] ; [공경희 옮김]살림2012경상남도 통영시 평생학습관2024-02-07
37939통영시립충무도서관HM0000045292쫌 이상한 사람들미겔 탕코 지음 ; 정혜경 옮김문학동네어린이2017경상남도 통영시 평생학습관2024-02-07
30814통영시립충무도서관HM0000037643(세상 모든 지갑을 열게하는) 95% 법칙더글라스 밴 프랫 지음 ; 권혜숙 옮김엑스오북스2015경상남도 통영시 평생학습관2024-02-07
51136통영시립충무도서관HM0000059075진심은 감추고 본심은 읽어라 : 백 마디 말보다 강력한 신체언어의 기술카시아 베조스키, 패트릭 베조스키 지음 ; 이경남 옮김RHK(알에이치코리아)2019경상남도 통영시 평생학습관2024-02-07
32534통영시립충무도서관HM0000039484로마의 일인자. 1콜린 매컬로 지음 ; 강선재 ; 신봉아 ; 이은주 ; 홍정인 옮김교유서가2015경상남도 통영시 평생학습관2024-02-07
도서관명등록번호자료명저자명발행처발행연도관리기간명데이터기준일자
40986통영시립충무도서관HM0000048580나도 한 입만 줘황위친, 타오러디 글.그림 ; 주니어 아크라테 편집부 옮김주니어 아라크네2017경상남도 통영시 평생학습관2024-02-07
20250통영시립충무도서관HM0000025070나는 달걀 배달하는 농부김계수 지음나무를 심는 사람들2013경상남도 통영시 평생학습관2024-02-07
11542통영시립충무도서관HM0000014199닷 발 늘어져라권정생 지음 ; 김용철 그림한겨레아이들2010경상남도 통영시 평생학습관2024-02-07
25710통영시립충무도서관HM0000031951올 댓 실버마케팅 = all that silver marketing : 노인에게 젊음을 팔아라김숙응 지음매일경제신문사2014경상남도 통영시 평생학습관2024-02-07
24885통영시립충무도서관HM0000031077아주 작은 친구들 : 보이지 않는 미생물의 세계니콜라 데이비스 글 ; 에밀리 서튼 그림 ; 김명남 옮김시공주니어2014경상남도 통영시 평생학습관2024-02-07
57591통영시립충무도서관HM0000065642어른의 습관 : 삶의 뿌리가 되는 소소한 지혜아리카와 마유미 지음 ; 한주희 옮김포레스트북스2020경상남도 통영시 평생학습관2024-02-07
31763통영시립충무도서관HM0000038660우리 집 첫 반려견 두리문지영 글 ; 정호선 그림한겨레아이들2016경상남도 통영시 평생학습관2024-02-07
61779통영시립충무도서관HM0000069876팜. 4, 바다농장홍지연 지음, 지문 그림길벗2021경상남도 통영시 평생학습관2024-02-07
9346통영시립충무도서관HM0000011554괴물과 나장주식 글 ; 최현묵 그림창비2011경상남도 통영시 평생학습관2024-02-07
36252통영시립충무도서관HM0000043532그렇게, 아버지가 된다 : 아버지는 자식을 낳고, 자식은 아버지를 낳고윤용인 지음알키 :시공사2016경상남도 통영시 평생학습관2024-02-07