Overview

Dataset statistics

Number of variables8
Number of observations1069
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.6%
Total size in memory66.9 KiB
Average record size in memory64.1 B

Variable types

Text5
Categorical3

Dataset

Description부산광역시 강서구 신착 도서목록정보를 제공합니다. 부산강서도서관과 강서기적의도서관 2개의 도서관의 신착도서정보를 제공하며, 제공하는 항목은 도서명, 저자, 출판사, 발행년도, 청구기호, 가격, 기준일자 등을 제공합니다.
Author부산광역시 강서구
URLhttps://www.data.go.kr/data/15013765/fileData.do

Alerts

기준일자 has constant value ""Constant
Dataset has 6 (0.6%) duplicate rowsDuplicates
발행년도 is highly overall correlated with 도서관명High correlation
도서관명 is highly overall correlated with 발행년도High correlation

Reproduction

Analysis started2024-03-23 07:12:48.118355
Analysis finished2024-03-23 07:12:52.307096
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1058
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-03-23T07:12:53.432560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length48
Mean length27.165575
Min length2

Characters and Unicode

Total characters29040
Distinct characters973
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1047 ?
Unique (%)97.9%

Sample

1st row용비불패 : 애장판. 1
2nd row용비불패 : 애장판. 10
3rd row용비불패 : 애장판. 11
4th row용비불패 : 애장판. 12
5th row용비불패 : 애장판. 13
ValueCountFrequency (%)
541
 
7.6%
코믹 129
 
1.8%
수학도둑 82
 
1.1%
메이플스토리 82
 
1.1%
대탐험 60
 
0.8%
손오공의 60
 
0.8%
한자 60
 
0.8%
마법천자문 60
 
0.8%
59
 
0.8%
대작전 51
 
0.7%
Other values (3148) 5966
83.4%
2024-03-23T07:12:55.862168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6081
 
20.9%
533
 
1.8%
: 524
 
1.8%
506
 
1.7%
. 475
 
1.6%
, 432
 
1.5%
) 376
 
1.3%
( 376
 
1.3%
365
 
1.3%
306
 
1.1%
Other values (963) 19066
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17750
61.1%
Space Separator 6081
 
20.9%
Other Punctuation 1715
 
5.9%
Lowercase Letter 1233
 
4.2%
Decimal Number 930
 
3.2%
Uppercase Letter 401
 
1.4%
Close Punctuation 379
 
1.3%
Open Punctuation 379
 
1.3%
Math Symbol 143
 
0.5%
Dash Punctuation 26
 
0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
533
 
3.0%
506
 
2.9%
365
 
2.1%
306
 
1.7%
301
 
1.7%
272
 
1.5%
268
 
1.5%
258
 
1.5%
256
 
1.4%
225
 
1.3%
Other values (882) 14460
81.5%
Uppercase Letter
ValueCountFrequency (%)
P 103
25.7%
G 62
15.5%
R 53
13.2%
M 52
13.0%
T 19
 
4.7%
A 18
 
4.5%
N 12
 
3.0%
E 10
 
2.5%
I 10
 
2.5%
X 9
 
2.2%
Other values (14) 53
13.2%
Lowercase Letter
ValueCountFrequency (%)
s 128
10.4%
o 124
10.1%
e 117
9.5%
l 114
9.2%
t 109
8.8%
a 101
 
8.2%
r 84
 
6.8%
i 62
 
5.0%
y 62
 
5.0%
p 62
 
5.0%
Other values (13) 270
21.9%
Decimal Number
ValueCountFrequency (%)
1 196
21.1%
2 123
13.2%
4 101
10.9%
3 98
10.5%
5 91
9.8%
9 69
 
7.4%
6 66
 
7.1%
0 64
 
6.9%
7 62
 
6.7%
8 60
 
6.5%
Other Punctuation
ValueCountFrequency (%)
: 524
30.6%
. 475
27.7%
, 432
25.2%
! 211
12.3%
? 35
 
2.0%
· 28
 
1.6%
& 4
 
0.2%
/ 3
 
0.2%
' 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 376
99.2%
2
 
0.5%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 376
99.2%
2
 
0.5%
[ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 80
55.9%
+ 61
42.7%
~ 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 24
92.3%
2
 
7.7%
Space Separator
ValueCountFrequency (%)
6081
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17650
60.8%
Common 9656
33.3%
Latin 1634
 
5.6%
Han 100
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
533
 
3.0%
506
 
2.9%
365
 
2.1%
306
 
1.7%
301
 
1.7%
272
 
1.5%
268
 
1.5%
258
 
1.5%
256
 
1.5%
225
 
1.3%
Other values (787) 14360
81.4%
Han
ValueCountFrequency (%)
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
Other values (85) 85
85.0%
Latin
ValueCountFrequency (%)
s 128
 
7.8%
o 124
 
7.6%
e 117
 
7.2%
l 114
 
7.0%
t 109
 
6.7%
P 103
 
6.3%
a 101
 
6.2%
r 84
 
5.1%
i 62
 
3.8%
y 62
 
3.8%
Other values (37) 630
38.6%
Common
ValueCountFrequency (%)
6081
63.0%
: 524
 
5.4%
. 475
 
4.9%
, 432
 
4.5%
) 376
 
3.9%
( 376
 
3.9%
! 211
 
2.2%
1 196
 
2.0%
2 123
 
1.3%
4 101
 
1.0%
Other values (24) 761
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17650
60.8%
ASCII 11253
38.8%
CJK 100
 
0.3%
None 32
 
0.1%
Punctuation 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6081
54.0%
: 524
 
4.7%
. 475
 
4.2%
, 432
 
3.8%
) 376
 
3.3%
( 376
 
3.3%
! 211
 
1.9%
1 196
 
1.7%
s 128
 
1.1%
o 124
 
1.1%
Other values (64) 2330
 
20.7%
Hangul
ValueCountFrequency (%)
533
 
3.0%
506
 
2.9%
365
 
2.1%
306
 
1.7%
301
 
1.7%
272
 
1.5%
268
 
1.5%
258
 
1.5%
256
 
1.5%
225
 
1.3%
Other values (787) 14360
81.4%
None
ValueCountFrequency (%)
· 28
87.5%
2
 
6.2%
2
 
6.2%
CJK
ValueCountFrequency (%)
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
Other values (85) 85
85.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct644
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-03-23T07:12:56.952294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length15.098223
Min length4

Characters and Unicode

Total characters16140
Distinct characters534
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique574 ?
Unique (%)53.7%

Sample

1st row문정후 저
2nd row문정후 저
3rd row문정후 저
4th row문정후 저
5th row문정후 저
ValueCountFrequency (%)
686
 
13.7%
지음 483
 
9.7%
그림 482
 
9.6%
411
 
8.2%
옮김 216
 
4.3%
송도수 129
 
2.6%
글·그림 76
 
1.5%
김기수 72
 
1.4%
김강현 71
 
1.4%
서정은 68
 
1.4%
Other values (1339) 2306
46.1%
2024-03-23T07:12:58.398517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3931
24.4%
; 686
 
4.3%
570
 
3.5%
568
 
3.5%
563
 
3.5%
552
 
3.4%
526
 
3.3%
491
 
3.0%
275
 
1.7%
269
 
1.7%
Other values (524) 7709
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10851
67.2%
Space Separator 3931
 
24.4%
Other Punctuation 991
 
6.1%
Lowercase Letter 165
 
1.0%
Open Punctuation 64
 
0.4%
Close Punctuation 64
 
0.4%
Uppercase Letter 62
 
0.4%
Math Symbol 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
570
 
5.3%
568
 
5.2%
563
 
5.2%
552
 
5.1%
526
 
4.8%
491
 
4.5%
275
 
2.5%
269
 
2.5%
227
 
2.1%
220
 
2.0%
Other values (461) 6590
60.7%
Lowercase Letter
ValueCountFrequency (%)
o 22
13.3%
a 21
12.7%
i 13
 
7.9%
e 12
 
7.3%
l 12
 
7.3%
r 11
 
6.7%
u 10
 
6.1%
t 9
 
5.5%
n 9
 
5.5%
y 7
 
4.2%
Other values (14) 39
23.6%
Uppercase Letter
ValueCountFrequency (%)
S 10
16.1%
T 6
 
9.7%
E 5
 
8.1%
A 5
 
8.1%
L 4
 
6.5%
D 4
 
6.5%
M 3
 
4.8%
P 3
 
4.8%
B 3
 
4.8%
C 3
 
4.8%
Other values (13) 16
25.8%
Other Punctuation
ValueCountFrequency (%)
; 686
69.2%
, 205
 
20.7%
· 78
 
7.9%
. 21
 
2.1%
' 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 61
95.3%
( 3
 
4.7%
Close Punctuation
ValueCountFrequency (%)
] 61
95.3%
) 3
 
4.7%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
< 3
50.0%
Space Separator
ValueCountFrequency (%)
3931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10851
67.2%
Common 5062
31.4%
Latin 227
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
570
 
5.3%
568
 
5.2%
563
 
5.2%
552
 
5.1%
526
 
4.8%
491
 
4.5%
275
 
2.5%
269
 
2.5%
227
 
2.1%
220
 
2.0%
Other values (461) 6590
60.7%
Latin
ValueCountFrequency (%)
o 22
 
9.7%
a 21
 
9.3%
i 13
 
5.7%
e 12
 
5.3%
l 12
 
5.3%
r 11
 
4.8%
u 10
 
4.4%
S 10
 
4.4%
t 9
 
4.0%
n 9
 
4.0%
Other values (37) 98
43.2%
Common
ValueCountFrequency (%)
3931
77.7%
; 686
 
13.6%
, 205
 
4.0%
· 78
 
1.5%
[ 61
 
1.2%
] 61
 
1.2%
. 21
 
0.4%
- 3
 
0.1%
( 3
 
0.1%
) 3
 
0.1%
Other values (6) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10851
67.2%
ASCII 5211
32.3%
None 78
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3931
75.4%
; 686
 
13.2%
, 205
 
3.9%
[ 61
 
1.2%
] 61
 
1.2%
o 22
 
0.4%
a 21
 
0.4%
. 21
 
0.4%
i 13
 
0.2%
e 12
 
0.2%
Other values (52) 178
 
3.4%
Hangul
ValueCountFrequency (%)
570
 
5.3%
568
 
5.2%
563
 
5.2%
552
 
5.1%
526
 
4.8%
491
 
4.5%
275
 
2.5%
269
 
2.5%
227
 
2.1%
220
 
2.0%
Other values (461) 6590
60.7%
None
ValueCountFrequency (%)
· 78
100.0%
Distinct413
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-03-23T07:12:59.224797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length4.6248831
Min length1

Characters and Unicode

Total characters4944
Distinct characters435
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

Unique289 ?
Unique (%)27.0%

Sample

1st row학산문화사
2nd row학산문화사
3rd row학산문화사
4th row학산문화사
5th row학산문화사
ValueCountFrequency (%)
서울문화사 217
 
19.7%
아울북 71
 
6.5%
학산문화사 27
 
2.5%
위즈덤하우스 22
 
2.0%
시공주니어 20
 
1.8%
다산책방 20
 
1.8%
어스본코리아 16
 
1.5%
아이세움 16
 
1.5%
별똥별 15
 
1.4%
show(토크쇼 14
 
1.3%
Other values (414) 662
60.2%
2024-03-23T07:13:00.859932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
6.4%
292
 
5.9%
274
 
5.5%
259
 
5.2%
239
 
4.8%
145
 
2.9%
141
 
2.9%
113
 
2.3%
109
 
2.2%
96
 
1.9%
Other values (425) 2960
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4578
92.6%
Lowercase Letter 217
 
4.4%
Uppercase Letter 52
 
1.1%
Space Separator 31
 
0.6%
Open Punctuation 28
 
0.6%
Close Punctuation 28
 
0.6%
Decimal Number 7
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
316
 
6.9%
292
 
6.4%
274
 
6.0%
259
 
5.7%
239
 
5.2%
145
 
3.2%
141
 
3.1%
113
 
2.5%
109
 
2.4%
96
 
2.1%
Other values (379) 2594
56.7%
Lowercase Letter
ValueCountFrequency (%)
o 39
18.0%
s 27
12.4%
k 25
11.5%
l 18
8.3%
a 17
7.8%
h 14
 
6.5%
w 14
 
6.5%
i 10
 
4.6%
e 9
 
4.1%
t 6
 
2.8%
Other values (12) 38
17.5%
Uppercase Letter
ValueCountFrequency (%)
T 15
28.8%
B 8
15.4%
H 4
 
7.7%
R 4
 
7.7%
L 3
 
5.8%
K 3
 
5.8%
M 3
 
5.8%
D 3
 
5.8%
S 2
 
3.8%
I 2
 
3.8%
Other values (5) 5
 
9.6%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
0 2
28.6%
2 2
28.6%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
& 1
33.3%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4555
92.1%
Latin 269
 
5.4%
Common 97
 
2.0%
Han 23
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
316
 
6.9%
292
 
6.4%
274
 
6.0%
259
 
5.7%
239
 
5.2%
145
 
3.2%
141
 
3.1%
113
 
2.5%
109
 
2.4%
96
 
2.1%
Other values (361) 2571
56.4%
Latin
ValueCountFrequency (%)
o 39
14.5%
s 27
 
10.0%
k 25
 
9.3%
l 18
 
6.7%
a 17
 
6.3%
T 15
 
5.6%
h 14
 
5.2%
w 14
 
5.2%
i 10
 
3.7%
e 9
 
3.3%
Other values (27) 81
30.1%
Han
ValueCountFrequency (%)
4
17.4%
2
 
8.7%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (8) 8
34.8%
Common
ValueCountFrequency (%)
31
32.0%
( 28
28.9%
) 28
28.9%
1 3
 
3.1%
0 2
 
2.1%
2 2
 
2.1%
, 1
 
1.0%
& 1
 
1.0%
. 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4555
92.1%
ASCII 366
 
7.4%
CJK 23
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
316
 
6.9%
292
 
6.4%
274
 
6.0%
259
 
5.7%
239
 
5.2%
145
 
3.2%
141
 
3.1%
113
 
2.5%
109
 
2.4%
96
 
2.1%
Other values (361) 2571
56.4%
ASCII
ValueCountFrequency (%)
o 39
 
10.7%
31
 
8.5%
( 28
 
7.7%
) 28
 
7.7%
s 27
 
7.4%
k 25
 
6.8%
l 18
 
4.9%
a 17
 
4.6%
T 15
 
4.1%
h 14
 
3.8%
Other values (36) 124
33.9%
CJK
ValueCountFrequency (%)
4
17.4%
2
 
8.7%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (8) 8
34.8%

발행년도
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023
545 
2022
137 
2024
104 
2019
75 
2021
56 
Other values (17)
152 

Length

Max length6
Median length4
Mean length4.0037418
Min length4

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row2010
2nd row2010
3rd row2010
4th row2010
5th row2011

Common Values

ValueCountFrequency (%)
2023 545
51.0%
2022 137
 
12.8%
2024 104
 
9.7%
2019 75
 
7.0%
2021 56
 
5.2%
2020 47
 
4.4%
2018 21
 
2.0%
2010 13
 
1.2%
2016 13
 
1.2%
2013 13
 
1.2%
Other values (12) 45
 
4.2%

Length

2024-03-23T07:13:01.468998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023 547
51.2%
2022 137
 
12.8%
2024 104
 
9.7%
2019 76
 
7.1%
2021 56
 
5.2%
2020 47
 
4.4%
2018 21
 
2.0%
2010 13
 
1.2%
2016 13
 
1.2%
2013 13
 
1.2%
Other values (10) 42
 
3.9%
Distinct61
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-03-23T07:13:02.083526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8821328
Min length4

Characters and Unicode

Total characters5219
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.1%

Sample

1st row9000
2nd row9000
3rd row9000
4th row9000
5th row9000
ValueCountFrequency (%)
12000 134
 
12.5%
14000 105
 
9.8%
13000 82
 
7.7%
15000 73
 
6.8%
10500 57
 
5.3%
8900 51
 
4.8%
17000 50
 
4.7%
18000 49
 
4.6%
11000 38
 
3.6%
16000 34
 
3.2%
Other values (51) 396
37.0%
2024-03-23T07:13:03.405837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3028
58.0%
1 821
 
15.7%
2 315
 
6.0%
5 239
 
4.6%
8 232
 
4.4%
9 151
 
2.9%
3 144
 
2.8%
4 137
 
2.6%
6 81
 
1.6%
7 70
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5218
> 99.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3028
58.0%
1 821
 
15.7%
2 315
 
6.0%
5 239
 
4.6%
8 232
 
4.4%
9 151
 
2.9%
3 144
 
2.8%
4 137
 
2.6%
6 81
 
1.6%
7 70
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3028
58.0%
1 821
 
15.7%
2 315
 
6.0%
5 239
 
4.6%
8 232
 
4.4%
9 151
 
2.9%
3 144
 
2.8%
4 137
 
2.6%
6 81
 
1.6%
7 70
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3028
58.0%
1 821
 
15.7%
2 315
 
6.0%
5 239
 
4.6%
8 232
 
4.4%
9 151
 
2.9%
3 144
 
2.8%
4 137
 
2.6%
6 81
 
1.6%
7 70
 
1.3%
Distinct1062
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-03-23T07:13:04.395845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length12.760524
Min length5

Characters and Unicode

Total characters13641
Distinct characters212
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1055 ?
Unique (%)98.7%

Sample

1st row만화 813.6-문74용-1
2nd row만화 813.6-문74용-10
3rd row만화 813.6-문74용-11
4th row만화 813.6-문74용-12
5th row만화 813.6-문74용-13
ValueCountFrequency (%)
만화 329
 
18.6%
아동 241
 
13.6%
유아 121
 
6.8%
아동만화 5
 
0.3%
청소년 4
 
0.2%
594.019-아68일 2
 
0.1%
813.8-314 2
 
0.1%
813.8-313 2
 
0.1%
813.8-312 2
 
0.1%
813.8-311 2
 
0.1%
Other values (1053) 1062
59.9%
2024-03-23T07:13:05.942751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1741
12.8%
1 1382
 
10.1%
3 1196
 
8.8%
8 1002
 
7.3%
4 917
 
6.7%
2 910
 
6.7%
. 791
 
5.8%
703
 
5.2%
7 630
 
4.6%
5 597
 
4.4%
Other values (202) 3772
27.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8042
59.0%
Other Letter 2034
 
14.9%
Dash Punctuation 1741
 
12.8%
Other Punctuation 791
 
5.8%
Space Separator 703
 
5.2%
Math Symbol 320
 
2.3%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
379
18.6%
337
16.6%
335
16.5%
251
12.3%
132
 
6.5%
43
 
2.1%
38
 
1.9%
19
 
0.9%
16
 
0.8%
15
 
0.7%
Other values (186) 469
23.1%
Decimal Number
ValueCountFrequency (%)
1 1382
17.2%
3 1196
14.9%
8 1002
12.5%
4 917
11.4%
2 910
11.3%
7 630
7.8%
5 597
7.4%
0 503
 
6.3%
9 454
 
5.6%
6 451
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 9
90.0%
B 1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 1741
100.0%
Other Punctuation
ValueCountFrequency (%)
. 791
100.0%
Space Separator
ValueCountFrequency (%)
703
100.0%
Math Symbol
ValueCountFrequency (%)
= 320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11597
85.0%
Hangul 2034
 
14.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
379
18.6%
337
16.6%
335
16.5%
251
12.3%
132
 
6.5%
43
 
2.1%
38
 
1.9%
19
 
0.9%
16
 
0.8%
15
 
0.7%
Other values (186) 469
23.1%
Common
ValueCountFrequency (%)
- 1741
15.0%
1 1382
11.9%
3 1196
10.3%
8 1002
8.6%
4 917
7.9%
2 910
7.8%
. 791
6.8%
703
6.1%
7 630
 
5.4%
5 597
 
5.1%
Other values (4) 1728
14.9%
Latin
ValueCountFrequency (%)
A 9
90.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11607
85.1%
Hangul 2034
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1741
15.0%
1 1382
11.9%
3 1196
10.3%
8 1002
8.6%
4 917
7.9%
2 910
7.8%
. 791
6.8%
703
6.1%
7 630
 
5.4%
5 597
 
5.1%
Other values (6) 1738
15.0%
Hangul
ValueCountFrequency (%)
379
18.6%
337
16.6%
335
16.5%
251
12.3%
132
 
6.5%
43
 
2.1%
38
 
1.9%
19
 
0.9%
16
 
0.8%
15
 
0.7%
Other values (186) 469
23.1%

도서관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
부산광역시 강서기적의도서관
601 
부산광역시 강서도서관
468 

Length

Max length14
Median length14
Mean length12.686623
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 강서도서관
2nd row부산광역시 강서도서관
3rd row부산광역시 강서도서관
4th row부산광역시 강서도서관
5th row부산광역시 강서도서관

Common Values

ValueCountFrequency (%)
부산광역시 강서기적의도서관 601
56.2%
부산광역시 강서도서관 468
43.8%

Length

2024-03-23T07:13:06.510560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:13:06.908648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 1069
50.0%
강서기적의도서관 601
28.1%
강서도서관 468
21.9%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2024-03-11
1069 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-11
2nd row2024-03-11
3rd row2024-03-11
4th row2024-03-11
5th row2024-03-11

Common Values

ValueCountFrequency (%)
2024-03-11 1069
100.0%

Length

2024-03-23T07:13:07.246011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:13:07.520081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-11 1069
100.0%

Correlations

2024-03-23T07:13:07.696884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도가격도서관명
발행년도1.0000.8610.702
가격0.8611.0000.802
도서관명0.7020.8021.000
2024-03-23T07:13:07.950803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명발행년도
도서관명1.0000.562
발행년도0.5621.000
2024-03-23T07:13:08.191305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도도서관명
발행년도1.0000.562
도서관명0.5621.000

Missing values

2024-03-23T07:12:51.609025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:12:52.113406image/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

도서명저자출판사발행년도가격청구기호도서관명기준일자
0용비불패 : 애장판. 1문정후 저학산문화사20109000만화 813.6-문74용-1부산광역시 강서도서관2024-03-11
1용비불패 : 애장판. 10문정후 저학산문화사20109000만화 813.6-문74용-10부산광역시 강서도서관2024-03-11
2용비불패 : 애장판. 11문정후 저학산문화사20109000만화 813.6-문74용-11부산광역시 강서도서관2024-03-11
3용비불패 : 애장판. 12문정후 저학산문화사20109000만화 813.6-문74용-12부산광역시 강서도서관2024-03-11
4용비불패 : 애장판. 13문정후 저학산문화사20119000만화 813.6-문74용-13부산광역시 강서도서관2024-03-11
5용비불패 : 애장판. 14문정후 저학산문화사20119000만화 813.6-문74용-14부산광역시 강서도서관2024-03-11
6용비불패 : 애장판. 15문정후 저학산문화사20119000만화 813.6-문74용-15부산광역시 강서도서관2024-03-11
7용비불패 : 애장판. 2문정후 저학산문화사20109000만화 813.6-문74용-2부산광역시 강서도서관2024-03-11
8용비불패 : 애장판. 3문정후 저학산문화사20109000만화 813.6-문74용-3부산광역시 강서도서관2024-03-11
9용비불패 : 애장판. 4문정후 저학산문화사20109000만화 813.6-문74용-4부산광역시 강서도서관2024-03-11
도서명저자출판사발행년도가격청구기호도서관명기준일자
1059토지 : 박경리 대하소설. 20, 5부 5권박경리 지음다산책방202317000813.62-16-20-2023부산광역시 강서기적의도서관2024-03-11
1060토지 : 박경리 대하소설. 3, 1부 3권박경리 지음다산책방202317000813.62-16-3-2023부산광역시 강서기적의도서관2024-03-11
1061토지 : 박경리 대하소설. 4, 1부 4권박경리 지음다산책방202317000813.62-16-4-2023부산광역시 강서기적의도서관2024-03-11
1062토지 : 박경리 대하소설. 5, 2부 1권박경리 지음다산책방202317000813.62-16-5-2023부산광역시 강서기적의도서관2024-03-11
1063토지 : 박경리 대하소설. 6, 2부 2권박경리 지음다산책방202317000813.62-16-6-2023부산광역시 강서기적의도서관2024-03-11
1064토지 : 박경리 대하소설. 7, 2부 3권박경리 지음다산책방202317000813.62-16-7-2023부산광역시 강서기적의도서관2024-03-11
1065토지 : 박경리 대하소설. 8, 2부 4권박경리 지음다산책방202317000813.62-16-8-2023부산광역시 강서기적의도서관2024-03-11
1066토지 : 박경리 대하소설. 9, 3부 1권박경리 지음다산책방202317000813.62-16-9-2023부산광역시 강서기적의도서관2024-03-11
1067파친코 : 이민진 장편소설이민진 지음 ; 신승미 옮김인플루엔셜202327000843-703부산광역시 강서기적의도서관2024-03-11
1068폴리스, 폴리스, 포타티스모스!마이 셰발,페르 발뢰 지음 ; 김명남 옮김엘릭시르201913800859.7-4-6부산광역시 강서기적의도서관2024-03-11

Duplicate rows

Most frequently occurring

도서명저자출판사발행년도가격청구기호도서관명기준일자# duplicates
0(재미있고 쓸모있는) 화학 이야기이광렬 지음코리아닷컴202319000430-이15화부산광역시 강서도서관2024-03-112
1늑대의 시간 : 제2차 세계대전 패망 후 10년, 망각의 독일인과 부도덕의 나날들하랄트 얘너 지음 ; 박종대 옮김위즈덤하우스202428000925.075-얘194늑부산광역시 강서도서관2024-03-112
2박근혜 회고록 : 어둠을 지나 미래로 : 박근혜 회고록. 2박근혜 지음중앙books202425000340.99-박17박-2부산광역시 강서도서관2024-03-112
3반도체 주권국가박영선,강성천,차정훈 지음나남202424000323.694-박64반부산광역시 강서도서관2024-03-112
4술맛 나는 세계사 : 세계의 역사를 뒤바꾼 22가지 술 이야기도현신 지음유노책주202417500573.09-도94술부산광역시 강서도서관2024-03-112
5일본 현지 아이스크림 대백과아이스맨 후쿠토메 지음 ; 김정원 옮김202318000594.019-아68일부산광역시 강서도서관2024-03-112