Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells6
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

Categorical2
Text4
Numeric1
DateTime1

Dataset

Description도서관법에 따라 꿈이랑도서관에서 수집∙정리∙보존하는 자료 중 공중에게 제공가능 한 서적 정보(자료명, 저자명, 발행처 등)
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15048958/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-14 10:42:55.737663
Analysis finished2024-03-14 10:43:00.136361
Duration4.4 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

2024-03-14T19:43:00.289813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:43:00.501320image/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
2024-03-14T19:43:01.142391image/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 rowEM0000068079
2nd rowEM0000091393
3rd rowEM0000095527
4th rowEM0000080884
5th rowEM0000067837
ValueCountFrequency (%)
em0000068079 1
 
< 0.1%
em0000032309 1
 
< 0.1%
em0000094146 1
 
< 0.1%
em0000092989 1
 
< 0.1%
em0000070652 1
 
< 0.1%
em0000073998 1
 
< 0.1%
em0000097476 1
 
< 0.1%
em0000044035 1
 
< 0.1%
em0000089486 1
 
< 0.1%
em0000096289 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-14T19:43:02.039617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54133
45.1%
E 10000
 
8.3%
M 10000
 
8.3%
9 7218
 
6.0%
8 5875
 
4.9%
7 5630
 
4.7%
1 5136
 
4.3%
6 4868
 
4.1%
5 4653
 
3.9%
4 4270
 
3.6%
Other values (2) 8217
 
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 54133
54.1%
9 7218
 
7.2%
8 5875
 
5.9%
7 5630
 
5.6%
1 5136
 
5.1%
6 4868
 
4.9%
5 4653
 
4.7%
4 4270
 
4.3%
3 4161
 
4.2%
2 4056
 
4.1%
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 54133
54.1%
9 7218
 
7.2%
8 5875
 
5.9%
7 5630
 
5.6%
1 5136
 
5.1%
6 4868
 
4.9%
5 4653
 
4.7%
4 4270
 
4.3%
3 4161
 
4.2%
2 4056
 
4.1%
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 54133
45.1%
E 10000
 
8.3%
M 10000
 
8.3%
9 7218
 
6.0%
8 5875
 
4.9%
7 5630
 
4.7%
1 5136
 
4.3%
6 4868
 
4.1%
5 4653
 
3.9%
4 4270
 
3.6%
Other values (2) 8217
 
6.8%

자료명
Text

Distinct9928
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T19:43:03.315524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length138
Median length83
Mean length18.9423
Min length1

Characters and Unicode

Total characters189423
Distinct characters1485
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9864 ?
Unique (%)98.6%

Sample

1st row엄마는 반역자
2nd row우리나라가 100명의 마을이라면
3rd row두 잇!! 푸드 스타일링 = Do it! food styling
4th rowHow do you feel?
5th row연필 화났다 : 초등학생을 위한 동시조
ValueCountFrequency (%)
3110
 
6.2%
이야기 455
 
0.9%
the 266
 
0.5%
1 233
 
0.5%
위한 218
 
0.4%
2 212
 
0.4%
우리 208
 
0.4%
내 206
 
0.4%
나는 161
 
0.3%
그림책 145
 
0.3%
Other values (19364) 44560
89.5%
2024-03-14T19:43:04.885713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41392
 
21.9%
이 3630
 
1.9%
: 2840
 
1.5%
의 2807
 
1.5%
는 2558
 
1.4%
기 1999
 
1.1%
가 1787
 
0.9%
리 1768
 
0.9%
, 1720
 
0.9%
아 1707
 
0.9%
Other values (1475) 127215
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116749
61.6%
Space Separator 41392
 
21.9%
Lowercase Letter 13840
 
7.3%
Other Punctuation 7951
 
4.2%
Decimal Number 3509
 
1.9%
Uppercase Letter 2384
 
1.3%
Open Punctuation 1569
 
0.8%
Close Punctuation 1569
 
0.8%
Math Symbol 294
 
0.2%
Dash Punctuation 147
 
0.1%
Other values (7) 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 3630
 
3.1%
의 2807
 
2.4%
는 2558
 
2.2%
기 1999
 
1.7%
가 1787
 
1.5%
리 1768
 
1.5%
아 1707
 
1.5%
한 1573
 
1.3%
지 1551
 
1.3%
사 1515
 
1.3%
Other values (1353) 95854
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 1655
12.0%
o 1359
 
9.8%
a 1108
 
8.0%
t 993
 
7.2%
r 961
 
6.9%
i 930
 
6.7%
n 917
 
6.6%
s 869
 
6.3%
h 761
 
5.5%
l 549
 
4.0%
Other values (31) 3738
27.0%
Uppercase Letter
ValueCountFrequency (%)
T 279
 
11.7%
S 226
 
9.5%
W 160
 
6.7%
C 146
 
6.1%
I 136
 
5.7%
B 131
 
5.5%
G 126
 
5.3%
A 125
 
5.2%
M 124
 
5.2%
P 104
 
4.4%
Other values (19) 827
34.7%
Other Punctuation
ValueCountFrequency (%)
: 2840
35.7%
, 1720
21.6%
. 1414
17.8%
! 932
 
11.7%
? 648
 
8.1%
' 177
 
2.2%
· 118
 
1.5%
; 29
 
0.4%
& 25
 
0.3%
… 13
 
0.2%
Other values (7) 35
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 905
25.8%
0 558
15.9%
2 554
15.8%
3 384
10.9%
4 273
 
7.8%
5 261
 
7.4%
6 166
 
4.7%
7 151
 
4.3%
8 138
 
3.9%
9 119
 
3.4%
Math Symbol
ValueCountFrequency (%)
= 226
76.9%
~ 37
 
12.6%
| 13
 
4.4%
+ 7
 
2.4%
× 5
 
1.7%
> 2
 
0.7%
∼ 2
 
0.7%
< 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 1527
97.3%
[ 41
 
2.6%
《 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1527
97.3%
] 41
 
2.6%
》 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 5
45.5%
Ⅱ 5
45.5%
Ⅲ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
41392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Other Symbol
ValueCountFrequency (%)
□ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116649
61.6%
Common 56439
29.8%
Latin 16203
 
8.6%
Han 95
 
0.1%
Cyrillic 32
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 3630
 
3.1%
의 2807
 
2.4%
는 2558
 
2.2%
기 1999
 
1.7%
가 1787
 
1.5%
리 1768
 
1.5%
아 1707
 
1.5%
한 1573
 
1.3%
지 1551
 
1.3%
사 1515
 
1.3%
Other values (1286) 95754
82.1%
Han
ValueCountFrequency (%)
太 8
 
8.4%
山 7
 
7.4%
脈 7
 
7.4%
白 7
 
7.4%
食 2
 
2.1%
恨 2
 
2.1%
美 2
 
2.1%
酒 2
 
2.1%
都 2
 
2.1%
京 2
 
2.1%
Other values (52) 54
56.8%
Latin
ValueCountFrequency (%)
e 1655
 
10.2%
o 1359
 
8.4%
a 1108
 
6.8%
t 993
 
6.1%
r 961
 
5.9%
i 930
 
5.7%
n 917
 
5.7%
s 869
 
5.4%
h 761
 
4.7%
l 549
 
3.4%
Other values (45) 6101
37.7%
Common
ValueCountFrequency (%)
41392
73.3%
: 2840
 
5.0%
, 1720
 
3.0%
( 1527
 
2.7%
) 1527
 
2.7%
. 1414
 
2.5%
! 932
 
1.7%
1 905
 
1.6%
? 648
 
1.1%
0 558
 
1.0%
Other values (39) 2976
 
5.3%
Cyrillic
ValueCountFrequency (%)
н 5
15.6%
о 4
12.5%
с 3
 
9.4%
и 3
 
9.4%
л 2
 
6.2%
в 2
 
6.2%
а 2
 
6.2%
М 1
 
3.1%
Я 1
 
3.1%
д 1
 
3.1%
Other values (8) 8
25.0%
Hiragana
ValueCountFrequency (%)
る 1
20.0%
め 1
20.0%
を 1
20.0%
で 1
20.0%
に 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116616
61.6%
ASCII 72469
38.3%
None 142
 
0.1%
CJK 93
 
< 0.1%
Compat Jamo 33
 
< 0.1%
Cyrillic 32
 
< 0.1%
Punctuation 15
 
< 0.1%
Number Forms 11
 
< 0.1%
Hiragana 5
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41392
57.1%
: 2840
 
3.9%
, 1720
 
2.4%
e 1655
 
2.3%
( 1527
 
2.1%
) 1527
 
2.1%
. 1414
 
2.0%
o 1359
 
1.9%
a 1108
 
1.5%
t 993
 
1.4%
Other values (78) 16934
23.4%
Hangul
ValueCountFrequency (%)
이 3630
 
3.1%
의 2807
 
2.4%
는 2558
 
2.2%
기 1999
 
1.7%
가 1787
 
1.5%
리 1768
 
1.5%
아 1707
 
1.5%
한 1573
 
1.3%
지 1551
 
1.3%
사 1515
 
1.3%
Other values (1282) 95721
82.1%
None
ValueCountFrequency (%)
· 118
83.1%
？ 8
 
5.6%
！ 5
 
3.5%
× 5
 
3.5%
＆ 3
 
2.1%
《 1
 
0.7%
》 1
 
0.7%
­ 1
 
0.7%
Punctuation
ValueCountFrequency (%)
… 13
86.7%
’ 1
 
6.7%
‘ 1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
ㄷ 10
30.3%
ㄱ 10
30.3%
ㄴ 10
30.3%
ㆍ 3
 
9.1%
CJK
ValueCountFrequency (%)
太 8
 
8.6%
山 7
 
7.5%
脈 7
 
7.5%
白 7
 
7.5%
食 2
 
2.2%
恨 2
 
2.2%
美 2
 
2.2%
酒 2
 
2.2%
都 2
 
2.2%
京 2
 
2.2%
Other values (50) 52
55.9%
Cyrillic
ValueCountFrequency (%)
н 5
15.6%
о 4
12.5%
с 3
 
9.4%
и 3
 
9.4%
л 2
 
6.2%
в 2
 
6.2%
а 2
 
6.2%
М 1
 
3.1%
Я 1
 
3.1%
д 1
 
3.1%
Other values (8) 8
25.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
45.5%
Ⅱ 5
45.5%
Ⅲ 1
 
9.1%
Geometric Shapes
ValueCountFrequency (%)
□ 3
100.0%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
50.0%
茶 1
50.0%
Hiragana
ValueCountFrequency (%)
る 1
20.0%
め 1
20.0%
を 1
20.0%
で 1
20.0%
に 1
20.0%

저자명
Text

Distinct8717
Distinct (%)87.2%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-14T19:43:06.003908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length122
Mean length19.160164
Min length2

Characters and Unicode

Total characters191525
Distinct characters1035
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8112 ?
Unique (%)81.2%

Sample

1st row로러 윌리엄스 글 ; 정현정 옮김
2nd row배성호 글 ; 허구 그림
3rd row김덕환, 박정윤, 이승미, 정소연
4th row김세실 글 ; 박세연 그림
5th row유성규 지음
ValueCountFrequency (%)
9669
 
17.1%
그림 4970
 
8.8%
글 3854
 
6.8%
지음 3344
 
5.9%
옮김 3054
 
5.4%
글·그림 854
 
1.5%
by 545
 
1.0%
원작 171
 
0.3%
엮음 156
 
0.3%
글.그림 144
 
0.3%
Other values (12784) 29695
52.6%
2024-03-14T19:43:08.215688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49380
25.8%
; 9666
 
5.0%
그 6435
 
3.4%
림 6334
 
3.3%
김 5756
 
3.0%
글 5229
 
2.7%
지 4495
 
2.3%
이 3692
 
1.9%
음 3672
 
1.9%
옮 3152
 
1.6%
Other values (1025) 93714
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109482
57.2%
Space Separator 49380
25.8%
Lowercase Letter 15981
 
8.3%
Other Punctuation 13038
 
6.8%
Uppercase Letter 2683
 
1.4%
Open Punctuation 420
 
0.2%
Close Punctuation 420
 
0.2%
Dash Punctuation 56
 
< 0.1%
Decimal Number 40
 
< 0.1%
Math Symbol 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 6435
 
5.9%
림 6334
 
5.8%
김 5756
 
5.3%
글 5229
 
4.8%
지 4495
 
4.1%
이 3692
 
3.4%
음 3672
 
3.4%
옮 3152
 
2.9%
정 1826
 
1.7%
스 1799
 
1.6%
Other values (944) 67092
61.3%
Lowercase Letter
ValueCountFrequency (%)
e 1940
12.1%
r 1448
 
9.1%
a 1430
 
8.9%
t 1275
 
8.0%
i 1194
 
7.5%
n 1151
 
7.2%
l 1020
 
6.4%
o 922
 
5.8%
y 806
 
5.0%
s 762
 
4.8%
Other values (16) 4033
25.2%
Uppercase Letter
ValueCountFrequency (%)
B 320
11.9%
A 242
 
9.0%
R 224
 
8.3%
S 212
 
7.9%
M 205
 
7.6%
H 165
 
6.1%
J 153
 
5.7%
L 136
 
5.1%
D 130
 
4.8%
C 121
 
4.5%
Other values (16) 775
28.9%
Other Punctuation
ValueCountFrequency (%)
; 9666
74.1%
· 1005
 
7.7%
, 993
 
7.6%
: 732
 
5.6%
. 614
 
4.7%
/ 11
 
0.1%
? 8
 
0.1%
' 4
 
< 0.1%
& 2
 
< 0.1%
" 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 17
42.5%
1 8
20.0%
3 5
 
12.5%
2 4
 
10.0%
5 3
 
7.5%
0 2
 
5.0%
8 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
[ 407
96.9%
( 12
 
2.9%
『 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 407
96.9%
) 12
 
2.9%
』 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 12
50.0%
> 12
50.0%
Space Separator
ValueCountFrequency (%)
49380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109469
57.2%
Common 63379
33.1%
Latin 18664
 
9.7%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 6435
 
5.9%
림 6334
 
5.8%
김 5756
 
5.3%
글 5229
 
4.8%
지 4495
 
4.1%
이 3692
 
3.4%
음 3672
 
3.4%
옮 3152
 
2.9%
정 1826
 
1.7%
스 1799
 
1.6%
Other values (931) 67079
61.3%
Latin
ValueCountFrequency (%)
e 1940
 
10.4%
r 1448
 
7.8%
a 1430
 
7.7%
t 1275
 
6.8%
i 1194
 
6.4%
n 1151
 
6.2%
l 1020
 
5.5%
o 922
 
4.9%
y 806
 
4.3%
s 762
 
4.1%
Other values (42) 6716
36.0%
Common
ValueCountFrequency (%)
49380
77.9%
; 9666
 
15.3%
· 1005
 
1.6%
, 993
 
1.6%
: 732
 
1.2%
. 614
 
1.0%
[ 407
 
0.6%
] 407
 
0.6%
- 56
 
0.1%
4 17
 
< 0.1%
Other values (19) 102
 
0.2%
Han
ValueCountFrequency (%)
外 1
 
7.7%
日 1
 
7.7%
陳 1
 
7.7%
東 1
 
7.7%
宇 1
 
7.7%
凡 1
 
7.7%
著 1
 
7.7%
劉 1
 
7.7%
麗 1
 
7.7%
雅 1
 
7.7%
Other values (3) 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109458
57.2%
ASCII 81034
42.3%
None 1008
 
0.5%
CJK 13
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49380
60.9%
; 9666
 
11.9%
e 1940
 
2.4%
r 1448
 
1.8%
a 1430
 
1.8%
t 1275
 
1.6%
i 1194
 
1.5%
n 1151
 
1.4%
l 1020
 
1.3%
, 993
 
1.2%
Other values (66) 11537
 
14.2%
Hangul
ValueCountFrequency (%)
그 6435
 
5.9%
림 6334
 
5.8%
김 5756
 
5.3%
글 5229
 
4.8%
지 4495
 
4.1%
이 3692
 
3.4%
음 3672
 
3.4%
옮 3152
 
2.9%
정 1826
 
1.7%
스 1799
 
1.6%
Other values (928) 67068
61.3%
None
ValueCountFrequency (%)
· 1005
99.7%
『 1
 
0.1%
』 1
 
0.1%
＆ 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
81.8%
ㄷ 1
 
9.1%
ㅑ 1
 
9.1%
CJK
ValueCountFrequency (%)
外 1
 
7.7%
日 1
 
7.7%
陳 1
 
7.7%
東 1
 
7.7%
宇 1
 
7.7%
凡 1
 
7.7%
著 1
 
7.7%
劉 1
 
7.7%
麗 1
 
7.7%
雅 1
 
7.7%
Other values (3) 3
23.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%

발행처
Text

Distinct2356
Distinct (%)23.6%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-14T19:43:09.287973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length5.9077816
Min length1

Characters and Unicode

Total characters59066
Distinct characters689
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

Unique1301 ?
Unique (%)13.0%

Sample

1st row문원
2nd row푸른숲주니어
3rd row혜민북스
4th row삼성
5th row하니커뮤니케이션즈(글로연)
ValueCountFrequency (%)
비룡소 281
 
2.4%
press 169
 
1.4%
university 156
 
1.3%
oxford 156
 
1.3%
문학동네 141
 
1.2%
웅진주니어 135
 
1.2%
웅진씽크빅 125
 
1.1%
창비 124
 
1.1%
주니어김영사 118
 
1.0%
시공주니어 109
 
0.9%
Other values (2334) 10181
87.1%
2024-03-14T19:43:10.538266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1709
 
2.9%
사 1668
 
2.8%
이 1622
 
2.7%
어 1371
 
2.3%
스 1361
 
2.3%
북 1107
 
1.9%
: 1098
 
1.9%
s 1036
 
1.8%
o 1018
 
1.7%
아 981
 
1.7%
Other values (679) 46095
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43974
74.4%
Lowercase Letter 9094
 
15.4%
Uppercase Letter 2339
 
4.0%
Space Separator 1709
 
2.9%
Other Punctuation 1277
 
2.2%
Close Punctuation 293
 
0.5%
Open Punctuation 293
 
0.5%
Decimal Number 71
 
0.1%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1668
 
3.8%
이 1622
 
3.7%
어 1371
 
3.1%
스 1361
 
3.1%
북 1107
 
2.5%
아 981
 
2.2%
리 655
 
1.5%
니 650
 
1.5%
주 646
 
1.5%
판 639
 
1.5%
Other values (604) 33274
75.7%
Lowercase Letter
ValueCountFrequency (%)
s 1036
11.4%
o 1018
11.2%
r 944
10.4%
i 877
 
9.6%
e 856
 
9.4%
n 633
 
7.0%
a 490
 
5.4%
t 432
 
4.8%
d 316
 
3.5%
l 299
 
3.3%
Other values (16) 2193
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 297
12.7%
P 272
11.6%
O 223
9.5%
M 223
9.5%
U 177
 
7.6%
H 148
 
6.3%
S 147
 
6.3%
K 113
 
4.8%
C 113
 
4.8%
N 80
 
3.4%
Other values (15) 546
23.3%
Other Punctuation
ValueCountFrequency (%)
: 1098
86.0%
& 98
 
7.7%
＆ 20
 
1.6%
' 18
 
1.4%
· 17
 
1.3%
. 9
 
0.7%
; 9
 
0.7%
, 5
 
0.4%
＇ 1
 
0.1%
! 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 31
43.7%
2 31
43.7%
0 3
 
4.2%
6 2
 
2.8%
3 2
 
2.8%
5 1
 
1.4%
8 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 269
91.8%
] 24
 
8.2%
Open Punctuation
ValueCountFrequency (%)
( 269
91.8%
[ 24
 
8.2%
Space Separator
ValueCountFrequency (%)
1709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43950
74.4%
Latin 11433
 
19.4%
Common 3659
 
6.2%
Han 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1668
 
3.8%
이 1622
 
3.7%
어 1371
 
3.1%
스 1361
 
3.1%
북 1107
 
2.5%
아 981
 
2.2%
리 655
 
1.5%
니 650
 
1.5%
주 646
 
1.5%
판 639
 
1.5%
Other values (587) 33250
75.7%
Latin
ValueCountFrequency (%)
s 1036
 
9.1%
o 1018
 
8.9%
r 944
 
8.3%
i 877
 
7.7%
e 856
 
7.5%
n 633
 
5.5%
a 490
 
4.3%
t 432
 
3.8%
d 316
 
2.8%
l 299
 
2.6%
Other values (41) 4532
39.6%
Common
ValueCountFrequency (%)
1709
46.7%
: 1098
30.0%
) 269
 
7.4%
( 269
 
7.4%
& 98
 
2.7%
1 31
 
0.8%
2 31
 
0.8%
[ 24
 
0.7%
] 24
 
0.7%
＆ 20
 
0.5%
Other values (14) 86
 
2.4%
Han
ValueCountFrequency (%)
社 3
12.5%
文 3
12.5%
閣 2
 
8.3%
光 2
 
8.3%
休 2
 
8.3%
林 1
 
4.2%
檜 1
 
4.2%
敎 1
 
4.2%
版 1
 
4.2%
出 1
 
4.2%
Other values (7) 7
29.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43950
74.4%
ASCII 15054
 
25.5%
None 38
 
0.1%
CJK 24
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1709
 
11.4%
: 1098
 
7.3%
s 1036
 
6.9%
o 1018
 
6.8%
r 944
 
6.3%
i 877
 
5.8%
e 856
 
5.7%
n 633
 
4.2%
a 490
 
3.3%
t 432
 
2.9%
Other values (62) 5961
39.6%
Hangul
ValueCountFrequency (%)
사 1668
 
3.8%
이 1622
 
3.7%
어 1371
 
3.1%
스 1361
 
3.1%
북 1107
 
2.5%
아 981
 
2.2%
리 655
 
1.5%
니 650
 
1.5%
주 646
 
1.5%
판 639
 
1.5%
Other values (587) 33250
75.7%
None
ValueCountFrequency (%)
＆ 20
52.6%
· 17
44.7%
＇ 1
 
2.6%
CJK
ValueCountFrequency (%)
社 3
12.5%
文 3
12.5%
閣 2
 
8.3%
光 2
 
8.3%
休 2
 
8.3%
林 1
 
4.2%
檜 1
 
4.2%
敎 1
 
4.2%
版 1
 
4.2%
出 1
 
4.2%
Other values (7) 7
29.2%

발행연도
Real number (ℝ)

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.4044
Minimum1971
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:43:10.954252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1971
5-th percentile2003
Q12009
median2014
Q32018
95-th percentile2022
Maximum2023
Range52
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.0948975
Coefficient of variation (CV)0.0030271601
Kurtosis0.29834437
Mean2013.4044
Median Absolute Deviation (MAD)5
Skewness-0.52486626
Sum20134044
Variance37.147775
MonotonicityNot monotonic
2024-03-14T19:43:11.388064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2016 676
 
6.8%
2019 627
 
6.3%
2018 625
 
6.2%
2017 614
 
6.1%
2014 605
 
6.0%
2009 578
 
5.8%
2022 529
 
5.3%
2012 511
 
5.1%
2008 495
 
5.0%
2011 481
 
4.8%
Other values (31) 4259
42.6%
ValueCountFrequency (%)
1971 1
 
< 0.1%
1976 1
 
< 0.1%
1984 1
 
< 0.1%
1985 3
 
< 0.1%
1986 2
 
< 0.1%
1987 8
0.1%
1989 1
 
< 0.1%
1990 1
 
< 0.1%
1991 2
 
< 0.1%
1992 2
 
< 0.1%
ValueCountFrequency (%)
2023 378
3.8%
2022 529
5.3%
2021 425
4.2%
2020 393
3.9%
2019 627
6.3%
2018 625
6.2%
2017 614
6.1%
2016 676
6.8%
2015 373
3.7%
2014 605
6.0%

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

2024-03-14T19:43:11.794001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:43:12.086897image/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
2024-03-14T19:43:12.341076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:43:12.635094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T19:42:58.828499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-14T19:42:59.190515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:42:59.665858image/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.
2024-03-14T19:43:00.034756image/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
6529꿈이랑도서관EM0000068079엄마는 반역자로러 윌리엄스 글 ; 정현정 옮김문원2009경상남도 통영시 평생학습관2024-02-07
17454꿈이랑도서관EM0000091393우리나라가 100명의 마을이라면배성호 글 ; 허구 그림푸른숲주니어2017경상남도 통영시 평생학습관2024-02-07
21081꿈이랑도서관EM0000095527두 잇!! 푸드 스타일링 = Do it! food styling김덕환, 박정윤, 이승미, 정소연혜민북스2017경상남도 통영시 평생학습관2024-02-07
11677꿈이랑도서관EM0000080884How do you feel?김세실 글 ; 박세연 그림삼성2013경상남도 통영시 평생학습관2024-02-07
6347꿈이랑도서관EM0000067837연필 화났다 : 초등학생을 위한 동시조유성규 지음하니커뮤니케이션즈(글로연)2009경상남도 통영시 평생학습관2024-02-07
1317꿈이랑도서관EM0000039982공부일기금나나 ; 이원홍 [같이]지음 ; 이일선 그림효리원2005경상남도 통영시 평생학습관2024-02-07
24569꿈이랑도서관EM0000099331아침을 만나고 싶어구민경 글·그림보랏빛소어린이 :보랏빛소2021경상남도 통영시 평생학습관2024-02-07
9837꿈이랑도서관EM0000077383사자자리글·그림: 강선욱어바웃어북2012경상남도 통영시 평생학습관2024-02-07
23412꿈이랑도서관EM0000098118Geronimo Stilton. 34, Geronimo Stilton, secret agentGeronimo StiltonScholastic2020경상남도 통영시 평생학습관2024-02-07
23092꿈이랑도서관EM0000097785(The) laughing princessseries created by Roderick Hunt, Alex BrychtaOxford University Press2011경상남도 통영시 평생학습관2024-02-07
도서관명등록번호자료명저자명발행처발행연도관리기관명데이터기준일자
2714꿈이랑도서관EM0000051818처음 가진 열쇠황선미 글 ; 신민재 그림웅진주니어2007경상남도 통영시 평생학습관2024-02-07
19490꿈이랑도서관EM0000093797우주로 가는 계단 : 전수경 장편동화전수경 지음 ; 소윤경 그림창비2019경상남도 통영시 평생학습관2024-02-07
11665꿈이랑도서관EM0000080872Seasons김평숙 글 ; 김성희 그림 ; 책사람 영역삼성2013경상남도 통영시 평생학습관2024-02-07
22710꿈이랑도서관EM0000097397First the eggLaura Vaccaro SeegerRoaring Brook Press2007경상남도 통영시 평생학습관2024-02-07
4053꿈이랑도서관EM0000059230달팽이 과학동화 : 어떻게 건너지보리 글 ; 김혜숙 그림보리2007경상남도 통영시 평생학습관2024-02-07
10675꿈이랑도서관EM0000078901소원을 그리는 아이김평 글 ; 홍선주 그림책읽는곰2013경상남도 통영시 평생학습관2024-02-07
4267꿈이랑도서관EM0000060752(머리가 좋아지는 과학) 동물과 식물일제 헬, 올리버 아르님 글 ; 도복선 옮김글동산2009경상남도 통영시 평생학습관2024-02-07
10791꿈이랑도서관EM0000079231(송언 선생님의) 신나는 글쓰기 초등학교 : 동화처럼 재미있는 열여덟 가지 글쓰기 놀이글: 송언 ; 그림: 유설화미세기2013경상남도 통영시 평생학습관2024-02-07
14272꿈이랑도서관EM0000086278청양장공광규 시 ; 한병호 그림풀과바람2016경상남도 통영시 평생학습관2024-02-07
20264꿈이랑도서관EM0000094678(어디에서 왔을까?) 밥상 위 뼈 탐험 : 세밀화로 보는 신기한 뼈의 비밀모리구치 미쓰루 글·그림 ; 이진원 옮김봄나무2016경상남도 통영시 평생학습관2024-02-07