Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Categorical3
Text4
Numeric1

Dataset

Description도서관법에 따라 꿈이랑도서관에서 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=15048958

Alerts

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

Reproduction

Analysis started2024-03-13 00:08:35.576732
Analysis finished2024-03-13 00:08:37.757493
Duration2.18 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
꿈이랑도서관
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
꿈이랑도서관 10000
100.0%

Length

2024-03-13T09:08:37.808233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:08:37.881309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
꿈이랑도서관 10000
100.0%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T09:08:38.059383image/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 rowEM0000055238
2nd rowEM0000039673
3rd rowEM0000098421
4th rowEM0000065394
5th rowEM0000095670
ValueCountFrequency (%)
em0000055238 1
 
< 0.1%
em0000072997 1
 
< 0.1%
em0000084016 1
 
< 0.1%
em0000086582 1
 
< 0.1%
em0000068656 1
 
< 0.1%
em0000086596 1
 
< 0.1%
em0000059668 1
 
< 0.1%
em0000098330 1
 
< 0.1%
em0000096453 1
 
< 0.1%
em0000078655 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-13T09:08:38.412137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54089
45.1%
E 10000
 
8.3%
M 10000
 
8.3%
9 7188
 
6.0%
8 5882
 
4.9%
7 5556
 
4.6%
1 5175
 
4.3%
6 4914
 
4.1%
5 4770
 
4.0%
4 4319
 
3.6%
Other values (2) 8107
 
6.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54089
54.1%
9 7188
 
7.2%
8 5882
 
5.9%
7 5556
 
5.6%
1 5175
 
5.2%
6 4914
 
4.9%
5 4770
 
4.8%
4 4319
 
4.3%
3 4124
 
4.1%
2 3983
 
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 54089
54.1%
9 7188
 
7.2%
8 5882
 
5.9%
7 5556
 
5.6%
1 5175
 
5.2%
6 4914
 
4.9%
5 4770
 
4.8%
4 4319
 
4.3%
3 4124
 
4.1%
2 3983
 
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 54089
45.1%
E 10000
 
8.3%
M 10000
 
8.3%
9 7188
 
6.0%
8 5882
 
4.9%
7 5556
 
4.6%
1 5175
 
4.3%
6 4914
 
4.1%
5 4770
 
4.0%
4 4319
 
3.6%
Other values (2) 8107
 
6.8%

자료명
Text

Distinct9931
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T09:08:38.741276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length72
Mean length18.873
Min length1

Characters and Unicode

Total characters188730
Distinct characters1514
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9868 ?
Unique (%)98.7%

Sample

1st row어린이 손자 병법
2nd row아기
3rd row레벨 업 5학년
4th row시장님 우리 시장님
5th row안을 보면 밖을 보면
ValueCountFrequency (%)
3154
 
6.4%
이야기 444
 
0.9%
the 284
 
0.6%
우리 260
 
0.5%
2 224
 
0.5%
1 220
 
0.4%
위한 209
 
0.4%
내 192
 
0.4%
그림책 144
 
0.3%
나는 130
 
0.3%
Other values (19290) 44379
89.4%
2024-03-13T09:08:39.181160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41293
 
21.9%
이 3579
 
1.9%
: 2865
 
1.5%
의 2803
 
1.5%
는 2558
 
1.4%
기 1940
 
1.0%
리 1817
 
1.0%
가 1769
 
0.9%
e 1685
 
0.9%
아 1649
 
0.9%
Other values (1504) 126772
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116231
61.6%
Space Separator 41293
 
21.9%
Lowercase Letter 14134
 
7.5%
Other Punctuation 7865
 
4.2%
Decimal Number 3332
 
1.8%
Uppercase Letter 2360
 
1.3%
Open Punctuation 1532
 
0.8%
Close Punctuation 1532
 
0.8%
Math Symbol 311
 
0.2%
Dash Punctuation 118
 
0.1%
Other values (7) 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3579
 
3.1%
의 2803
 
2.4%
는 2558
 
2.2%
기 1940
 
1.7%
리 1817
 
1.6%
가 1769
 
1.5%
아 1649
 
1.4%
한 1599
 
1.4%
지 1559
 
1.3%
사 1553
 
1.3%
Other values (1373) 95405
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 1685
11.9%
o 1394
 
9.9%
a 1137
 
8.0%
t 1043
 
7.4%
n 971
 
6.9%
i 948
 
6.7%
r 947
 
6.7%
s 878
 
6.2%
h 823
 
5.8%
l 549
 
3.9%
Other values (31) 3759
26.6%
Uppercase Letter
ValueCountFrequency (%)
T 270
 
11.4%
S 203
 
8.6%
W 175
 
7.4%
C 140
 
5.9%
A 140
 
5.9%
M 139
 
5.9%
B 124
 
5.3%
I 122
 
5.2%
G 111
 
4.7%
L 106
 
4.5%
Other values (19) 830
35.2%
Other Punctuation
ValueCountFrequency (%)
: 2865
36.4%
, 1642
20.9%
. 1383
17.6%
! 922
 
11.7%
? 672
 
8.5%
' 173
 
2.2%
· 115
 
1.5%
& 29
 
0.4%
; 18
 
0.2%
… 11
 
0.1%
Other values (9) 35
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 869
26.1%
2 565
17.0%
0 514
15.4%
3 352
10.6%
4 272
 
8.2%
5 256
 
7.7%
6 161
 
4.8%
7 126
 
3.8%
8 109
 
3.3%
9 108
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 231
74.3%
~ 45
 
14.5%
| 13
 
4.2%
< 6
 
1.9%
> 6
 
1.9%
× 4
 
1.3%
+ 4
 
1.3%
∼ 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1484
96.9%
[ 41
 
2.7%
『 3
 
0.2%
「 2
 
0.1%
《 1
 
0.1%
〈 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1484
96.9%
] 41
 
2.7%
』 3
 
0.2%
」 2
 
0.1%
》 1
 
0.1%
〉 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
63.6%
Ⅰ 2
 
18.2%
Ⅲ 1
 
9.1%
Ⅵ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
41293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116125
61.5%
Common 55994
29.7%
Latin 16473
 
8.7%
Han 106
 
0.1%
Cyrillic 32
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3579
 
3.1%
의 2803
 
2.4%
는 2558
 
2.2%
기 1940
 
1.7%
리 1817
 
1.6%
가 1769
 
1.5%
아 1649
 
1.4%
한 1599
 
1.4%
지 1559
 
1.3%
사 1553
 
1.3%
Other values (1295) 95299
82.1%
Han
ValueCountFrequency (%)
太 5
 
4.7%
白 4
 
3.8%
國 4
 
3.8%
手 4
 
3.8%
山 4
 
3.8%
脈 4
 
3.8%
法 2
 
1.9%
理 2
 
1.9%
新 2
 
1.9%
恨 2
 
1.9%
Other values (68) 73
68.9%
Common
ValueCountFrequency (%)
41293
73.7%
: 2865
 
5.1%
, 1642
 
2.9%
( 1484
 
2.7%
) 1484
 
2.7%
. 1383
 
2.5%
! 922
 
1.6%
1 869
 
1.6%
? 672
 
1.2%
2 565
 
1.0%
Other values (47) 2815
 
5.0%
Latin
ValueCountFrequency (%)
e 1685
 
10.2%
o 1394
 
8.5%
a 1137
 
6.9%
t 1043
 
6.3%
n 971
 
5.9%
i 948
 
5.8%
r 947
 
5.7%
s 878
 
5.3%
h 823
 
5.0%
l 549
 
3.3%
Other values (46) 6098
37.0%
Cyrillic
ValueCountFrequency (%)
н 5
15.6%
о 4
12.5%
с 3
 
9.4%
и 3
 
9.4%
в 2
 
6.2%
а 2
 
6.2%
л 2
 
6.2%
Р 1
 
3.1%
е 1
 
3.1%
ц 1
 
3.1%
Other values (8) 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116101
61.5%
ASCII 72294
38.3%
None 143
 
0.1%
CJK 102
 
0.1%
Cyrillic 32
 
< 0.1%
Compat Jamo 24
 
< 0.1%
Punctuation 16
 
< 0.1%
Number Forms 11
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41293
57.1%
: 2865
 
4.0%
e 1685
 
2.3%
, 1642
 
2.3%
( 1484
 
2.1%
) 1484
 
2.1%
o 1394
 
1.9%
. 1383
 
1.9%
a 1137
 
1.6%
t 1043
 
1.4%
Other values (80) 16884
23.4%
Hangul
ValueCountFrequency (%)
이 3579
 
3.1%
의 2803
 
2.4%
는 2558
 
2.2%
기 1940
 
1.7%
리 1817
 
1.6%
가 1769
 
1.5%
아 1649
 
1.4%
한 1599
 
1.4%
지 1559
 
1.3%
사 1553
 
1.3%
Other values (1289) 95275
82.1%
None
ValueCountFrequency (%)
· 115
80.4%
？ 4
 
2.8%
× 4
 
2.8%
＆ 3
 
2.1%
『 3
 
2.1%
』 3
 
2.1%
」 2
 
1.4%
「 2
 
1.4%
！ 2
 
1.4%
》 1
 
0.7%
Other values (4) 4
 
2.8%
Punctuation
ValueCountFrequency (%)
… 11
68.8%
’ 3
 
18.8%
‘ 2
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
63.6%
Ⅰ 2
 
18.2%
Ⅲ 1
 
9.1%
Ⅵ 1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
ㄱ 6
25.0%
ㄴ 6
25.0%
ㄷ 6
25.0%
ㆍ 3
12.5%
ㅅ 2
 
8.3%
ㅎ 1
 
4.2%
Cyrillic
ValueCountFrequency (%)
н 5
15.6%
о 4
12.5%
с 3
 
9.4%
и 3
 
9.4%
в 2
 
6.2%
а 2
 
6.2%
л 2
 
6.2%
Р 1
 
3.1%
е 1
 
3.1%
ц 1
 
3.1%
Other values (8) 8
25.0%
CJK
ValueCountFrequency (%)
太 5
 
4.9%
白 4
 
3.9%
國 4
 
3.9%
手 4
 
3.9%
山 4
 
3.9%
脈 4
 
3.9%
法 2
 
2.0%
理 2
 
2.0%
新 2
 
2.0%
恨 2
 
2.0%
Other values (65) 69
67.6%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
50.0%
龍 1
25.0%
料 1
25.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자명
Text

Distinct8673
Distinct (%)86.8%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-13T09:08:39.473195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length95
Mean length19.181072
Min length2

Characters and Unicode

Total characters191734
Distinct characters1030
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8052 ?
Unique (%)80.6%

Sample

1st row김주원 지음 ; 김승영 그림
2nd row데보라 하일릭맨 글 ; 로라 프리먼 그림
3rd row김혜진, 전여울, 박현경, 최상아, 이송현, 정연철 [공]글 ; 센개 그림
4th row김준영 저
5th row안느-마르고 램스타인 ; 마티아스 아르귀 [공]지음
ValueCountFrequency (%)
9650
 
17.1%
그림 4964
 
8.8%
글 3803
 
6.8%
지음 3391
 
6.0%
옮김 3001
 
5.3%
글·그림 834
 
1.5%
by 559
 
1.0%
원작 180
 
0.3%
글.그림 145
 
0.3%
엮음 127
 
0.2%
Other values (12637) 29642
52.7%
2024-03-13T09:08:39.885225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49321
25.7%
; 9642
 
5.0%
그 6424
 
3.4%
림 6296
 
3.3%
김 5758
 
3.0%
글 5183
 
2.7%
지 4530
 
2.4%
이 3797
 
2.0%
음 3681
 
1.9%
옮 3103
 
1.6%
Other values (1020) 93999
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108942
56.8%
Space Separator 49321
25.7%
Lowercase Letter 16714
 
8.7%
Other Punctuation 13084
 
6.8%
Uppercase Letter 2767
 
1.4%
Close Punctuation 396
 
0.2%
Open Punctuation 396
 
0.2%
Dash Punctuation 48
 
< 0.1%
Decimal Number 40
 
< 0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 6424
 
5.9%
림 6296
 
5.8%
김 5758
 
5.3%
글 5183
 
4.8%
지 4530
 
4.2%
이 3797
 
3.5%
음 3681
 
3.4%
옮 3103
 
2.8%
정 1950
 
1.8%
스 1755
 
1.6%
Other values (935) 66465
61.0%
Lowercase Letter
ValueCountFrequency (%)
e 2052
12.3%
a 1528
 
9.1%
r 1481
 
8.9%
t 1310
 
7.8%
i 1255
 
7.5%
n 1208
 
7.2%
l 1070
 
6.4%
o 941
 
5.6%
y 854
 
5.1%
s 799
 
4.8%
Other values (16) 4216
25.2%
Uppercase Letter
ValueCountFrequency (%)
B 320
11.6%
A 249
 
9.0%
R 226
 
8.2%
S 216
 
7.8%
M 190
 
6.9%
H 183
 
6.6%
J 176
 
6.4%
D 168
 
6.1%
L 142
 
5.1%
C 139
 
5.0%
Other values (16) 758
27.4%
Other Punctuation
ValueCountFrequency (%)
; 9642
73.7%
, 996
 
7.6%
· 974
 
7.4%
: 833
 
6.4%
. 606
 
4.6%
/ 17
 
0.1%
? 6
 
< 0.1%
& 5
 
< 0.1%
' 2
 
< 0.1%
* 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 14
35.0%
2 8
20.0%
3 6
15.0%
1 5
 
12.5%
8 3
 
7.5%
9 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
0 1
 
2.5%
Close Punctuation
ValueCountFrequency (%)
] 385
97.2%
) 10
 
2.5%
』 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
[ 385
97.2%
( 10
 
2.5%
『 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 11
47.8%
> 11
47.8%
× 1
 
4.3%
Space Separator
ValueCountFrequency (%)
49321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 108924
56.8%
Common 63311
33.0%
Latin 19481
 
10.2%
Han 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 6424
 
5.9%
림 6296
 
5.8%
김 5758
 
5.3%
글 5183
 
4.8%
지 4530
 
4.2%
이 3797
 
3.5%
음 3681
 
3.4%
옮 3103
 
2.8%
정 1950
 
1.8%
스 1755
 
1.6%
Other values (920) 66447
61.0%
Latin
ValueCountFrequency (%)
e 2052
 
10.5%
a 1528
 
7.8%
r 1481
 
7.6%
t 1310
 
6.7%
i 1255
 
6.4%
n 1208
 
6.2%
l 1070
 
5.5%
o 941
 
4.8%
y 854
 
4.4%
s 799
 
4.1%
Other values (42) 6983
35.8%
Common
ValueCountFrequency (%)
49321
77.9%
; 9642
 
15.2%
, 996
 
1.6%
· 974
 
1.5%
: 833
 
1.3%
. 606
 
1.0%
] 385
 
0.6%
[ 385
 
0.6%
- 48
 
0.1%
/ 17
 
< 0.1%
Other values (23) 104
 
0.2%
Han
ValueCountFrequency (%)
編 3
16.7%
社 2
 
11.1%
譯 1
 
5.6%
版 1
 
5.6%
朝 1
 
5.6%
日 1
 
5.6%
新 1
 
5.6%
聞 1
 
5.6%
出 1
 
5.6%
著 1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 108915
56.8%
ASCII 81810
42.7%
None 978
 
0.5%
CJK 18
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49321
60.3%
; 9642
 
11.8%
e 2052
 
2.5%
a 1528
 
1.9%
r 1481
 
1.8%
t 1310
 
1.6%
i 1255
 
1.5%
n 1208
 
1.5%
l 1070
 
1.3%
, 996
 
1.2%
Other values (68) 11947
 
14.6%
Hangul
ValueCountFrequency (%)
그 6424
 
5.9%
림 6296
 
5.8%
김 5758
 
5.3%
글 5183
 
4.8%
지 4530
 
4.2%
이 3797
 
3.5%
음 3681
 
3.4%
옮 3103
 
2.8%
정 1950
 
1.8%
스 1755
 
1.6%
Other values (919) 66438
61.0%
None
ValueCountFrequency (%)
· 974
99.6%
× 1
 
0.1%
『 1
 
0.1%
』 1
 
0.1%
＆ 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%
CJK
ValueCountFrequency (%)
編 3
16.7%
社 2
 
11.1%
譯 1
 
5.6%
版 1
 
5.6%
朝 1
 
5.6%
日 1
 
5.6%
新 1
 
5.6%
聞 1
 
5.6%
出 1
 
5.6%
著 1
 
5.6%
Other values (5) 5
27.8%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 3
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

발행처
Text

Distinct2349
Distinct (%)23.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-13T09:08:40.101360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length5.9691969
Min length1

Characters and Unicode

Total characters59686
Distinct characters701
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1309 ?
Unique (%)13.1%

Sample

1st row훈민출판사
2nd rowYBM Si-sa
3rd row위즈덤하우스
4th row효성사
5th row웅진주니어
ValueCountFrequency (%)
비룡소 265
 
2.3%
press 188
 
1.6%
oxford 178
 
1.5%
university 176
 
1.5%
웅진씽크빅 135
 
1.2%
창비 134
 
1.1%
문학동네 133
 
1.1%
웅진주니어 126
 
1.1%
주니어김영사 123
 
1.1%
시공주니어 113
 
1.0%
Other values (2312) 10107
86.5%
2024-03-13T09:08:40.474009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1691
 
2.8%
이 1614
 
2.7%
사 1613
 
2.7%
스 1437
 
2.4%
어 1355
 
2.3%
북 1175
 
2.0%
: 1076
 
1.8%
s 1069
 
1.8%
r 1018
 
1.7%
o 1015
 
1.7%
Other values (691) 46623
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44099
73.9%
Lowercase Letter 9547
 
16.0%
Uppercase Letter 2328
 
3.9%
Space Separator 1691
 
2.8%
Other Punctuation 1260
 
2.1%
Open Punctuation 329
 
0.6%
Close Punctuation 329
 
0.6%
Decimal Number 87
 
0.1%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1614
 
3.7%
사 1613
 
3.7%
스 1437
 
3.3%
어 1355
 
3.1%
북 1175
 
2.7%
아 969
 
2.2%
리 679
 
1.5%
니 650
 
1.5%
비 636
 
1.4%
주 633
 
1.4%
Other values (611) 33338
75.6%
Lowercase Letter
ValueCountFrequency (%)
s 1069
11.2%
r 1018
10.7%
o 1015
10.6%
e 938
9.8%
i 936
9.8%
n 654
 
6.9%
a 537
 
5.6%
t 444
 
4.7%
d 358
 
3.7%
l 290
 
3.0%
Other values (16) 2288
24.0%
Uppercase Letter
ValueCountFrequency (%)
P 301
12.9%
B 266
11.4%
O 231
9.9%
M 203
 
8.7%
U 195
 
8.4%
H 147
 
6.3%
S 137
 
5.9%
C 111
 
4.8%
K 96
 
4.1%
N 83
 
3.6%
Other values (16) 558
24.0%
Other Punctuation
ValueCountFrequency (%)
: 1076
85.4%
& 87
 
6.9%
· 25
 
2.0%
＆ 19
 
1.5%
' 16
 
1.3%
. 15
 
1.2%
, 10
 
0.8%
; 6
 
0.5%
/ 2
 
0.2%
# 2
 
0.2%
Other values (2) 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 35
40.2%
2 33
37.9%
0 6
 
6.9%
3 5
 
5.7%
6 3
 
3.4%
8 1
 
1.1%
9 1
 
1.1%
4 1
 
1.1%
7 1
 
1.1%
5 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 301
91.5%
[ 28
 
8.5%
Close Punctuation
ValueCountFrequency (%)
) 301
91.5%
] 28
 
8.5%
Space Separator
ValueCountFrequency (%)
1691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44080
73.9%
Latin 11875
 
19.9%
Common 3712
 
6.2%
Han 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1614
 
3.7%
사 1613
 
3.7%
스 1437
 
3.3%
어 1355
 
3.1%
북 1175
 
2.7%
아 969
 
2.2%
리 679
 
1.5%
니 650
 
1.5%
비 636
 
1.4%
주 633
 
1.4%
Other values (600) 33319
75.6%
Latin
ValueCountFrequency (%)
s 1069
 
9.0%
r 1018
 
8.6%
o 1015
 
8.5%
e 938
 
7.9%
i 936
 
7.9%
n 654
 
5.5%
a 537
 
4.5%
t 444
 
3.7%
d 358
 
3.0%
P 301
 
2.5%
Other values (42) 4605
38.8%
Common
ValueCountFrequency (%)
1691
45.6%
: 1076
29.0%
( 301
 
8.1%
) 301
 
8.1%
& 87
 
2.3%
1 35
 
0.9%
2 33
 
0.9%
[ 28
 
0.8%
] 28
 
0.8%
· 25
 
0.7%
Other values (18) 107
 
2.9%
Han
ValueCountFrequency (%)
社 3
15.8%
文 3
15.8%
光 2
10.5%
閣 2
10.5%
旺 2
10.5%
大 2
10.5%
敎 1
 
5.3%
家 1
 
5.3%
冊 1
 
5.3%
率 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44080
73.9%
ASCII 15542
 
26.0%
None 45
 
0.1%
CJK 19
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1691
 
10.9%
: 1076
 
6.9%
s 1069
 
6.9%
r 1018
 
6.5%
o 1015
 
6.5%
e 938
 
6.0%
i 936
 
6.0%
n 654
 
4.2%
a 537
 
3.5%
t 444
 
2.9%
Other values (67) 6164
39.7%
Hangul
ValueCountFrequency (%)
이 1614
 
3.7%
사 1613
 
3.7%
스 1437
 
3.3%
어 1355
 
3.1%
북 1175
 
2.7%
아 969
 
2.2%
리 679
 
1.5%
니 650
 
1.5%
비 636
 
1.4%
주 633
 
1.4%
Other values (600) 33319
75.6%
None
ValueCountFrequency (%)
· 25
55.6%
＆ 19
42.2%
； 1
 
2.2%
CJK
ValueCountFrequency (%)
社 3
15.8%
文 3
15.8%
光 2
10.5%
閣 2
10.5%
旺 2
10.5%
大 2
10.5%
敎 1
 
5.3%
家 1
 
5.3%
冊 1
 
5.3%
率 1
 
5.3%

발행연도
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.4118
Minimum1968
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T09:08:40.581604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1968
5-th percentile2003
Q12009
median2014
Q32018
95-th percentile2022
Maximum2023
Range55
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.0012684
Coefficient of variation (CV)0.0029806463
Kurtosis0.40624897
Mean2013.4118
Median Absolute Deviation (MAD)5
Skewness-0.51580259
Sum20134118
Variance36.015222
MonotonicityNot monotonic
2024-03-13T09:08:40.683589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2018 660
 
6.6%
2016 651
 
6.5%
2017 632
 
6.3%
2019 602
 
6.0%
2009 588
 
5.9%
2014 580
 
5.8%
2012 546
 
5.5%
2022 505
 
5.1%
2011 502
 
5.0%
2013 484
 
4.8%
Other values (30) 4250
42.5%
ValueCountFrequency (%)
1968 1
 
< 0.1%
1972 1
 
< 0.1%
1983 1
 
< 0.1%
1984 1
 
< 0.1%
1985 2
< 0.1%
1986 3
< 0.1%
1987 4
< 0.1%
1991 4
< 0.1%
1992 1
 
< 0.1%
1993 1
 
< 0.1%
ValueCountFrequency (%)
2023 350
3.5%
2022 505
5.1%
2021 430
4.3%
2020 400
4.0%
2019 602
6.0%
2018 660
6.6%
2017 632
6.3%
2016 651
6.5%
2015 406
4.1%
2014 580
5.8%

관리기관명
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

2024-03-13T09:08:40.784342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:08:40.851885image/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

2024-03-13T09:08:40.922827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:08:40.995277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 10000
100.0%

Interactions

2024-03-13T09:08:37.366297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-13T09:08:37.492620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:08:37.614508image/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.
2024-03-13T09:08:37.708833image/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

도서관명등록번호자료명저자명발행처발행연도관리기관명데이터기준일자
3350꿈이랑도서관EM0000055238어린이 손자 병법김주원 지음 ; 김승영 그림훈민출판사2007경상남도 통영시 평생학습관2024-02-07
1216꿈이랑도서관EM0000039673아기데보라 하일릭맨 글 ; 로라 프리먼 그림YBM Si-sa2005경상남도 통영시 평생학습관2024-02-07
23715꿈이랑도서관EM0000098421레벨 업 5학년김혜진, 전여울, 박현경, 최상아, 이송현, 정연철 [공]글 ; 센개 그림위즈덤하우스2021경상남도 통영시 평생학습관2024-02-07
5720꿈이랑도서관EM0000065394시장님 우리 시장님김준영 저효성사2009경상남도 통영시 평생학습관2024-02-07
21223꿈이랑도서관EM0000095670안을 보면 밖을 보면안느-마르고 램스타인 ; 마티아스 아르귀 [공]지음웅진주니어2019경상남도 통영시 평생학습관2024-02-07
10402꿈이랑도서관EM0000078265(2만원의 행복)게스트하우스 제주 : 느릿느릿 천천히 행복하게 제주 게스트하우스 이야기강희은 지음즐거운상상2013경상남도 통영시 평생학습관2024-02-07
2317꿈이랑도서관EM0000050611세종대왕한정아 글대교아인슈타인2004경상남도 통영시 평생학습관2024-02-07
5083꿈이랑도서관EM0000062969(골목대장)마밍자. 5 : 의리의 삼총사 마밍자정춘화 저 ; 야오홍 그림 ; 윤진 옮김문학수첩 리틀북2009경상남도 통영시 평생학습관2024-02-07
5058꿈이랑도서관EM0000062683해랑 물로 시간을 안대요송은명 글 ; 정경희 그림한국헤밍웨이2004경상남도 통영시 평생학습관2024-02-07
22148꿈이랑도서관EM0000096653전통 혼례상차림 : 하나 되는 소중한 의미를 담은 한국의 전통 혼례상차림김상보, 석대권, 최명환, 최정은 지음Hollym(한림출판사)2017경상남도 통영시 평생학습관2024-02-07
도서관명등록번호자료명저자명발행처발행연도관리기관명데이터기준일자
2947꿈이랑도서관EM0000053523존재하지 않았던 학교귀뒬 지음 ; 유정애 옮김 ; 크리스토 뒤뤼알 그림현암사2004경상남도 통영시 평생학습관2024-02-07
24936꿈이랑도서관EM0000099701(꼬마과학자) 알은 어떻게 생길까요?앙드리엔 수테르-페로 글 ; 조슬린 파슈 그림 ; 윤소영 옮김보림(보림출판사)2021경상남도 통영시 평생학습관2024-02-07
20826꿈이랑도서관EM0000095266솔잎 자장가지시우 글. 그림계수나무2020경상남도 통영시 평생학습관2024-02-07
1135꿈이랑도서관EM0000038761(입말로 들려주는)우리 겨레 옛이야기. 1 : 언어편이향숙 글 ; 강은경 그림영림카디널2003경상남도 통영시 평생학습관2024-02-07
23552꿈이랑도서관EM0000098258채소는 따뜻하게 먹습니다 : recipe book쓰쓰미 히토미 지음 ; 이은정 옮김좋은생각(좋은생각사람들)2021경상남도 통영시 평생학습관2024-02-07
15103꿈이랑도서관EM0000087637정말 지독한 오후모리리안 모리아티 지음 ; 김소정 옮김마시멜로2016경상남도 통영시 평생학습관2024-02-07
7480꿈이랑도서관EM0000071661(국어 시간이 기다려지는) 우리 문학 이야기 : 구지가에서 김소월까지 한 권으로 읽는 한국 문학사장세현 지음 ; 최미란 그림휴머니스트 :Humanist2011경상남도 통영시 평생학습관2024-02-07
16193꿈이랑도서관EM0000089476고양이 손을 빌려 드립니다김채완 지음 ; 조원희 그림웅진주니어 :웅진씽크빅2017경상남도 통영시 평생학습관2024-02-07
3468꿈이랑도서관EM0000055744타라 덩컨. 4(하), 드래곤의 배반소피 오두인 마미코니안 지음 ; 이원희 옮김소담출판사2007경상남도 통영시 평생학습관2024-02-07
22636꿈이랑도서관EM0000097323Happy birthday, SamPat HutchinsHarperCollins1991경상남도 통영시 평생학습관2024-02-07