Overview

Dataset statistics

Number of variables8
Number of observations1744
Missing cells4542
Missing cells (%)32.6%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory110.8 KiB
Average record size in memory65.1 B

Variable types

Text4
Categorical2
Numeric1
DateTime1

Dataset

Description부산광역시_강서구_도서정보_20230315
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15013765

Alerts

기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
발행년도 is highly imbalanced (53.8%)Imbalance
도서명 has 757 (43.4%) missing valuesMissing
저자 has 757 (43.4%) missing valuesMissing
출판사 has 757 (43.4%) missing valuesMissing
가격 has 757 (43.4%) missing valuesMissing
청구기호 has 757 (43.4%) missing valuesMissing
기준일자 has 757 (43.4%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:33:09.188596
Analysis finished2023-12-10 17:33:12.324955
Duration3.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명
Text

MISSING 

Distinct919
Distinct (%)93.1%
Missing757
Missing (%)43.4%
Memory size13.8 KiB
2023-12-11T02:33:12.880934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length54
Mean length25.569402
Min length1

Characters and Unicode

Total characters25237
Distinct characters943
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique858 ?
Unique (%)86.9%

Sample

1st row그렇게 말하지 말아요 : 아무도 상처받지 않는 가족의 대화법
2nd row나는 해낼 수 있다 : 인생을 바꾸는 기적의 네 단어
3rd row더 바이브 : 람보르기니 타는 부처를 위하여 : 소망을 현실로 만드는 염감의 에너지 당신의 삶을 뒤흔들 기적의 힘, 바이브(VIBE)!
4th row되는 사람 : 안 될 놈의 굴레를 깨트릴 인생 설계도
5th row명상과 함께 하는 삶 : 지금부터 당신은 항상 괜찮을 수 있습니다
ValueCountFrequency (%)
559
 
8.1%
이야기 64
 
0.9%
위한 39
 
0.6%
역사 29
 
0.4%
세계 29
 
0.4%
어떻게 23
 
0.3%
장편소설 22
 
0.3%
우리 22
 
0.3%
모든 21
 
0.3%
그림책 20
 
0.3%
Other values (3856) 6035
87.9%
2023-12-11T02:33:14.043231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5877
 
23.3%
: 554
 
2.2%
의 525
 
2.1%
이 485
 
1.9%
는 430
 
1.7%
지 262
 
1.0%
기 256
 
1.0%
가 235
 
0.9%
한 229
 
0.9%
을 221
 
0.9%
Other values (933) 16163
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16941
67.1%
Space Separator 5877
 
23.3%
Other Punctuation 1037
 
4.1%
Decimal Number 529
 
2.1%
Lowercase Letter 469
 
1.9%
Open Punctuation 114
 
0.5%
Close Punctuation 114
 
0.5%
Uppercase Letter 99
 
0.4%
Math Symbol 44
 
0.2%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 525
 
3.1%
이 485
 
2.9%
는 430
 
2.5%
지 262
 
1.5%
기 256
 
1.5%
가 235
 
1.4%
한 229
 
1.4%
을 221
 
1.3%
리 218
 
1.3%
사 216
 
1.3%
Other values (850) 13864
81.8%
Lowercase Letter
ValueCountFrequency (%)
e 61
13.0%
i 42
 
9.0%
a 40
 
8.5%
s 39
 
8.3%
n 33
 
7.0%
o 33
 
7.0%
r 28
 
6.0%
t 27
 
5.8%
l 22
 
4.7%
h 15
 
3.2%
Other values (14) 129
27.5%
Uppercase Letter
ValueCountFrequency (%)
S 10
 
10.1%
A 8
 
8.1%
G 8
 
8.1%
I 8
 
8.1%
F 7
 
7.1%
B 6
 
6.1%
M 6
 
6.1%
D 5
 
5.1%
T 5
 
5.1%
O 4
 
4.0%
Other values (13) 32
32.3%
Other Punctuation
ValueCountFrequency (%)
: 554
53.4%
, 215
 
20.7%
. 107
 
10.3%
! 64
 
6.2%
? 48
 
4.6%
' 24
 
2.3%
· 10
 
1.0%
＆ 5
 
0.5%
" 4
 
0.4%
／ 4
 
0.4%
Other values (2) 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 131
24.8%
0 105
19.8%
2 79
14.9%
3 39
 
7.4%
9 37
 
7.0%
5 36
 
6.8%
6 30
 
5.7%
4 29
 
5.5%
7 22
 
4.2%
8 21
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 111
97.4%
《 1
 
0.9%
〈 1
 
0.9%
『 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 111
97.4%
》 1
 
0.9%
〉 1
 
0.9%
』 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 22
50.0%
~ 17
38.6%
× 3
 
6.8%
+ 2
 
4.5%
Space Separator
ValueCountFrequency (%)
5877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16926
67.1%
Common 7728
30.6%
Latin 568
 
2.3%
Han 12
 
< 0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 525
 
3.1%
이 485
 
2.9%
는 430
 
2.5%
지 262
 
1.5%
기 256
 
1.5%
가 235
 
1.4%
한 229
 
1.4%
을 221
 
1.3%
리 218
 
1.3%
사 216
 
1.3%
Other values (840) 13849
81.8%
Latin
ValueCountFrequency (%)
e 61
 
10.7%
i 42
 
7.4%
a 40
 
7.0%
s 39
 
6.9%
n 33
 
5.8%
o 33
 
5.8%
r 28
 
4.9%
t 27
 
4.8%
l 22
 
3.9%
h 15
 
2.6%
Other values (37) 228
40.1%
Common
ValueCountFrequency (%)
5877
76.0%
: 554
 
7.2%
, 215
 
2.8%
1 131
 
1.7%
( 111
 
1.4%
) 111
 
1.4%
. 107
 
1.4%
0 105
 
1.4%
2 79
 
1.0%
! 64
 
0.8%
Other values (26) 374
 
4.8%
Han
ValueCountFrequency (%)
語 4
33.3%
韓 1
 
8.3%
國 1
 
8.3%
單 1
 
8.3%
源 1
 
8.3%
日 1
 
8.3%
本 1
 
8.3%
山 1
 
8.3%
神 1
 
8.3%
Hiragana
ValueCountFrequency (%)
の 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16926
67.1%
ASCII 8268
32.8%
None 28
 
0.1%
CJK 12
 
< 0.1%
Hiragana 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5877
71.1%
: 554
 
6.7%
, 215
 
2.6%
1 131
 
1.6%
( 111
 
1.3%
) 111
 
1.3%
. 107
 
1.3%
0 105
 
1.3%
2 79
 
1.0%
! 64
 
0.8%
Other values (63) 914
 
11.1%
Hangul
ValueCountFrequency (%)
의 525
 
3.1%
이 485
 
2.9%
는 430
 
2.5%
지 262
 
1.5%
기 256
 
1.5%
가 235
 
1.4%
한 229
 
1.4%
을 221
 
1.3%
리 218
 
1.3%
사 216
 
1.3%
Other values (840) 13849
81.8%
None
ValueCountFrequency (%)
· 10
35.7%
＆ 5
17.9%
／ 4
 
14.3%
× 3
 
10.7%
《 1
 
3.6%
》 1
 
3.6%
〈 1
 
3.6%
〉 1
 
3.6%
『 1
 
3.6%
』 1
 
3.6%
CJK
ValueCountFrequency (%)
語 4
33.3%
韓 1
 
8.3%
國 1
 
8.3%
單 1
 
8.3%
源 1
 
8.3%
日 1
 
8.3%
本 1
 
8.3%
山 1
 
8.3%
神 1
 
8.3%
Hiragana
ValueCountFrequency (%)
の 3
100.0%

저자
Text

MISSING 

Distinct831
Distinct (%)84.2%
Missing757
Missing (%)43.4%
Memory size13.8 KiB
2023-12-11T02:33:14.535050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length47
Mean length14.58156
Min length5

Characters and Unicode

Total characters14392
Distinct characters533
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

Unique724 ?
Unique (%)73.4%

Sample

1st row김석준 지음
2nd row보도 섀퍼 지음 ; 박성원 옮김
3rd row이하영 엮음
4th row도널드 밀러 지음 ; 김은영 옮김
5th row김지나 지음
ValueCountFrequency (%)
639
 
14.4%
지음 574
 
12.9%
옮김 331
 
7.5%
그림 260
 
5.9%
글 214
 
4.8%
글·그림 75
 
1.7%
공]지음 40
 
0.9%
편 36
 
0.8%
외 20
 
0.5%
한국차일드아카데미 18
 
0.4%
Other values (1674) 2227
50.2%
2023-12-11T02:33:15.364265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3449
24.0%
지 732
 
5.1%
; 639
 
4.4%
음 623
 
4.3%
김 546
 
3.8%
그 362
 
2.5%
림 355
 
2.5%
옮 334
 
2.3%
글 313
 
2.2%
이 278
 
1.9%
Other values (523) 6761
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9742
67.7%
Space Separator 3449
 
24.0%
Other Punctuation 831
 
5.8%
Close Punctuation 116
 
0.8%
Open Punctuation 116
 
0.8%
Lowercase Letter 96
 
0.7%
Uppercase Letter 39
 
0.3%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 732
 
7.5%
음 623
 
6.4%
김 546
 
5.6%
그 362
 
3.7%
림 355
 
3.6%
옮 334
 
3.4%
글 313
 
3.2%
이 278
 
2.9%
스 156
 
1.6%
리 138
 
1.4%
Other values (476) 5905
60.6%
Lowercase Letter
ValueCountFrequency (%)
i 14
14.6%
a 12
12.5%
e 11
11.5%
t 10
10.4%
o 8
8.3%
r 7
7.3%
n 6
 
6.2%
k 5
 
5.2%
s 4
 
4.2%
m 4
 
4.2%
Other values (6) 15
15.6%
Uppercase Letter
ValueCountFrequency (%)
M 8
20.5%
S 4
10.3%
D 4
10.3%
H 3
 
7.7%
A 3
 
7.7%
J 3
 
7.7%
W 2
 
5.1%
C 2
 
5.1%
K 2
 
5.1%
T 2
 
5.1%
Other values (6) 6
15.4%
Other Punctuation
ValueCountFrequency (%)
; 639
76.9%
· 90
 
10.8%
, 87
 
10.5%
. 14
 
1.7%
/ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 114
98.3%
) 1
 
0.9%
』 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
[ 114
98.3%
( 1
 
0.9%
『 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
3449
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9733
67.6%
Common 4515
31.4%
Latin 135
 
0.9%
Han 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 732
 
7.5%
음 623
 
6.4%
김 546
 
5.6%
그 362
 
3.7%
림 355
 
3.6%
옮 334
 
3.4%
글 313
 
3.2%
이 278
 
2.9%
스 156
 
1.6%
리 138
 
1.4%
Other values (468) 5896
60.6%
Latin
ValueCountFrequency (%)
i 14
 
10.4%
a 12
 
8.9%
e 11
 
8.1%
t 10
 
7.4%
M 8
 
5.9%
o 8
 
5.9%
r 7
 
5.2%
n 6
 
4.4%
k 5
 
3.7%
S 4
 
3.0%
Other values (22) 50
37.0%
Common
ValueCountFrequency (%)
3449
76.4%
; 639
 
14.2%
] 114
 
2.5%
[ 114
 
2.5%
· 90
 
2.0%
, 87
 
1.9%
. 14
 
0.3%
) 1
 
< 0.1%
( 1
 
< 0.1%
/ 1
 
< 0.1%
Other values (5) 5
 
0.1%
Han
ValueCountFrequency (%)
子 2
22.2%
惠 1
11.1%
谷 1
11.1%
容 1
11.1%
飯 1
11.1%
嶋 1
11.1%
美 1
11.1%
知 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9733
67.6%
ASCII 4558
31.7%
None 92
 
0.6%
CJK 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3449
75.7%
; 639
 
14.0%
] 114
 
2.5%
[ 114
 
2.5%
, 87
 
1.9%
i 14
 
0.3%
. 14
 
0.3%
a 12
 
0.3%
e 11
 
0.2%
t 10
 
0.2%
Other values (34) 94
 
2.1%
Hangul
ValueCountFrequency (%)
지 732
 
7.5%
음 623
 
6.4%
김 546
 
5.6%
그 362
 
3.7%
림 355
 
3.6%
옮 334
 
3.4%
글 313
 
3.2%
이 278
 
2.9%
스 156
 
1.6%
리 138
 
1.4%
Other values (468) 5896
60.6%
None
ValueCountFrequency (%)
· 90
97.8%
『 1
 
1.1%
』 1
 
1.1%
CJK
ValueCountFrequency (%)
子 2
22.2%
惠 1
11.1%
谷 1
11.1%
容 1
11.1%
飯 1
11.1%
嶋 1
11.1%
美 1
11.1%
知 1
11.1%

출판사
Text

MISSING 

Distinct558
Distinct (%)56.5%
Missing757
Missing (%)43.4%
Memory size13.8 KiB
2023-12-11T02:33:15.935821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length5.6220871
Min length1

Characters and Unicode

Total characters5549
Distinct characters480
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique362 ?
Unique (%)36.7%

Sample

1st row위북
2nd row소미미디어
3rd row미다스북스
4th row월북
5th row스노우폭스북스
ValueCountFrequency (%)
한국차일드아카데미 18
 
1.8%
문학동네 15
 
1.5%
드루주니어:한국학술정보 15
 
1.5%
풀빛 13
 
1.3%
예림당 12
 
1.2%
창비 12
 
1.2%
미래아이:미래m＆b 11
 
1.1%
비룡소 9
 
0.9%
호밀밭 9
 
0.9%
사계절 8
 
0.8%
Other values (553) 873
87.7%
2023-12-11T02:33:16.825344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 226
 
4.1%
스 215
 
3.9%
이 179
 
3.2%
북 163
 
2.9%
어 116
 
2.1%
아 114
 
2.1%
사 98
 
1.8%
미 98
 
1.8%
리 91
 
1.6%
한 88
 
1.6%
Other values (470) 4161
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4958
89.3%
Other Punctuation 245
 
4.4%
Lowercase Letter 189
 
3.4%
Uppercase Letter 129
 
2.3%
Decimal Number 12
 
0.2%
Space Separator 8
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 215
 
4.3%
이 179
 
3.6%
북 163
 
3.3%
어 116
 
2.3%
아 114
 
2.3%
사 98
 
2.0%
미 98
 
2.0%
리 91
 
1.8%
한 88
 
1.8%
비 76
 
1.5%
Other values (423) 3720
75.0%
Lowercase Letter
ValueCountFrequency (%)
o 46
24.3%
s 24
12.7%
e 19
10.1%
n 18
 
9.5%
r 15
 
7.9%
b 14
 
7.4%
k 12
 
6.3%
a 10
 
5.3%
i 7
 
3.7%
h 4
 
2.1%
Other values (9) 20
10.6%
Uppercase Letter
ValueCountFrequency (%)
B 33
25.6%
K 19
14.7%
M 18
14.0%
R 13
 
10.1%
H 10
 
7.8%
U 7
 
5.4%
E 5
 
3.9%
P 5
 
3.9%
N 5
 
3.9%
A 5
 
3.9%
Other values (5) 9
 
7.0%
Other Punctuation
ValueCountFrequency (%)
: 226
92.2%
＆ 14
 
5.7%
& 2
 
0.8%
· 2
 
0.8%
# 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
2 4
33.3%
4 1
 
8.3%
8 1
 
8.3%
9 1
 
8.3%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4953
89.3%
Latin 318
 
5.7%
Common 273
 
4.9%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 215
 
4.3%
이 179
 
3.6%
북 163
 
3.3%
어 116
 
2.3%
아 114
 
2.3%
사 98
 
2.0%
미 98
 
2.0%
리 91
 
1.8%
한 88
 
1.8%
비 76
 
1.5%
Other values (418) 3715
75.0%
Latin
ValueCountFrequency (%)
o 46
14.5%
B 33
 
10.4%
s 24
 
7.5%
e 19
 
6.0%
K 19
 
6.0%
M 18
 
5.7%
n 18
 
5.7%
r 15
 
4.7%
b 14
 
4.4%
R 13
 
4.1%
Other values (24) 99
31.1%
Common
ValueCountFrequency (%)
: 226
82.8%
＆ 14
 
5.1%
8
 
2.9%
1 5
 
1.8%
( 4
 
1.5%
) 4
 
1.5%
2 4
 
1.5%
& 2
 
0.7%
· 2
 
0.7%
# 1
 
0.4%
Other values (3) 3
 
1.1%
Han
ValueCountFrequency (%)
社 1
20.0%
化 1
20.0%
文 1
20.0%
地 1
20.0%
成 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4953
89.3%
ASCII 575
 
10.4%
None 16
 
0.3%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 226
39.3%
o 46
 
8.0%
B 33
 
5.7%
s 24
 
4.2%
e 19
 
3.3%
K 19
 
3.3%
M 18
 
3.1%
n 18
 
3.1%
r 15
 
2.6%
b 14
 
2.4%
Other values (35) 143
24.9%
Hangul
ValueCountFrequency (%)
스 215
 
4.3%
이 179
 
3.6%
북 163
 
3.3%
어 116
 
2.3%
아 114
 
2.3%
사 98
 
2.0%
미 98
 
2.0%
리 91
 
1.8%
한 88
 
1.8%
비 76
 
1.5%
Other values (418) 3715
75.0%
None
ValueCountFrequency (%)
＆ 14
87.5%
· 2
 
12.5%
CJK
ValueCountFrequency (%)
社 1
20.0%
化 1
20.0%
文 1
20.0%
地 1
20.0%
成 1
20.0%

발행년도
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
757 
2023
598 
2022
280 
2021
 
48
2020
 
18
Other values (12)
 
43

Length

Max length6
Median length4
Mean length4.0206422
Min length4

Unique

Unique6 ?
Unique (%)0.3%

Sample

1st row2023
2nd row2023
3rd row2022
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
<NA> 757
43.4%
2023 598
34.3%
2022 280
 
16.1%
2021 48
 
2.8%
2020 18
 
1.0%
[2022] 18
 
1.0%
2019 5
 
0.3%
2013 5
 
0.3%
2015 3
 
0.2%
2008 3
 
0.2%
Other values (7) 9
 
0.5%

Length

2023-12-11T02:33:17.243179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 757
43.4%
2023 598
34.3%
2022 298
 
17.1%
2021 48
 
2.8%
2020 18
 
1.0%
2019 5
 
0.3%
2013 5
 
0.3%
2015 3
 
0.2%
2008 3
 
0.2%
2017 3
 
0.2%
Other values (6) 6
 
0.3%

가격
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)6.9%
Missing757
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean16228.065
Minimum7200
Maximum120000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T02:33:17.602954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7200
5-th percentile12000
Q114000
median15000
Q318000
95-th percentile22940
Maximum120000
Range112800
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation5132.2226
Coefficient of variation (CV)0.31625598
Kurtosis170.77755
Mean16228.065
Median Absolute Deviation (MAD)2000
Skewness9.201309
Sum16017100
Variance26339709
MonotonicityNot monotonic
2023-12-11T02:33:17.947400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 109
 
6.2%
14000 101
 
5.8%
16000 87
 
5.0%
13000 85
 
4.9%
12000 75
 
4.3%
18000 70
 
4.0%
17000 48
 
2.8%
20000 37
 
2.1%
22000 33
 
1.9%
16500 29
 
1.7%
Other values (58) 313
17.9%
(Missing) 757
43.4%
ValueCountFrequency (%)
7200 1
 
0.1%
8900 1
 
0.1%
9000 3
 
0.2%
9800 2
 
0.1%
10000 23
 
1.3%
10800 2
 
0.1%
11000 6
 
0.3%
11500 3
 
0.2%
12000 75
4.3%
12500 5
 
0.3%
ValueCountFrequency (%)
120000 1
 
0.1%
45000 1
 
0.1%
38000 1
 
0.1%
35000 1
 
0.1%
34800 1
 
0.1%
33000 1
 
0.1%
32000 4
0.2%
30800 1
 
0.1%
30000 4
0.2%
29800 1
 
0.1%

청구기호
Text

MISSING 

Distinct986
Distinct (%)99.9%
Missing757
Missing (%)43.4%
Memory size13.8 KiB
2023-12-11T02:33:18.669724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.743668
Min length5

Characters and Unicode

Total characters10604
Distinct characters302
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique985 ?
Unique (%)99.8%

Sample

1st row189.24-김54그
2nd row199.1-섀894나
3rd row325.211-이92더
4th row325.211-밀294되
5th row189.1-김78명
ValueCountFrequency (%)
아동 208
 
14.8%
유아 162
 
11.6%
아동만화 22
 
1.6%
만화 12
 
0.9%
육아 6
 
0.4%
청소년 5
 
0.4%
510.4-1-11 2
 
0.1%
813.8-193 2
 
0.1%
813.8-191 2
 
0.1%
181.7-40 2
 
0.1%
Other values (979) 979
69.8%
2023-12-11T02:33:20.294010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1310
12.4%
1 1083
 
10.2%
8 989
 
9.3%
3 825
 
7.8%
. 694
 
6.5%
2 662
 
6.2%
4 616
 
5.8%
9 585
 
5.5%
5 497
 
4.7%
0 438
 
4.1%
Other values (292) 2905
27.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6516
61.4%
Other Letter 1646
 
15.5%
Dash Punctuation 1310
 
12.4%
Other Punctuation 694
 
6.5%
Space Separator 415
 
3.9%
Uppercase Letter 14
 
0.1%
Math Symbol 7
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 413
25.1%
동 231
 
14.0%
유 163
 
9.9%
이 48
 
2.9%
만 35
 
2.1%
화 34
 
2.1%
김 31
 
1.9%
박 17
 
1.0%
나 16
 
1.0%
오 14
 
0.9%
Other values (273) 644
39.1%
Decimal Number
ValueCountFrequency (%)
1 1083
16.6%
8 989
15.2%
3 825
12.7%
2 662
10.2%
4 616
9.5%
9 585
9.0%
5 497
7.6%
0 438
6.7%
6 419
 
6.4%
7 402
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 11
78.6%
B 2
 
14.3%
D 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1310
100.0%
Other Punctuation
ValueCountFrequency (%)
. 694
100.0%
Space Separator
ValueCountFrequency (%)
415
100.0%
Math Symbol
ValueCountFrequency (%)
= 7
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8944
84.3%
Hangul 1646
 
15.5%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 413
25.1%
동 231
 
14.0%
유 163
 
9.9%
이 48
 
2.9%
만 35
 
2.1%
화 34
 
2.1%
김 31
 
1.9%
박 17
 
1.0%
나 16
 
1.0%
오 14
 
0.9%
Other values (273) 644
39.1%
Common
ValueCountFrequency (%)
- 1310
14.6%
1 1083
12.1%
8 989
11.1%
3 825
9.2%
. 694
7.8%
2 662
7.4%
4 616
6.9%
9 585
6.5%
5 497
 
5.6%
0 438
 
4.9%
Other values (6) 1245
13.9%
Latin
ValueCountFrequency (%)
A 11
78.6%
B 2
 
14.3%
D 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8958
84.5%
Hangul 1646
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1310
14.6%
1 1083
12.1%
8 989
11.0%
3 825
9.2%
. 694
7.7%
2 662
7.4%
4 616
6.9%
9 585
6.5%
5 497
 
5.5%
0 438
 
4.9%
Other values (9) 1259
14.1%
Hangul
ValueCountFrequency (%)
아 413
25.1%
동 231
 
14.0%
유 163
 
9.9%
이 48
 
2.9%
만 35
 
2.1%
화 34
 
2.1%
김 31
 
1.9%
박 17
 
1.0%
나 16
 
1.0%
오 14
 
0.9%
Other values (273) 644
39.1%

도서관명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
757 
부산광역시 강서도서관
386 
부산광역시 지사도서관
360 
부산광역시 강서기적의도서관
241 

Length

Max length14
Median length11
Mean length8.3761468
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 757
43.4%
부산광역시 강서도서관 386
22.1%
부산광역시 지사도서관 360
20.6%
부산광역시 강서기적의도서관 241
 
13.8%

Length

2023-12-11T02:33:20.675937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:33:20.975718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 987
36.1%
na 757
27.7%
강서도서관 386
 
14.1%
지사도서관 360
 
13.2%
강서기적의도서관 241
 
8.8%

기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing757
Missing (%)43.4%
Memory size13.8 KiB
Minimum2023-03-15 00:00:00
Maximum2023-03-15 00:00:00
2023-12-11T02:33:21.274212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:33:21.503488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:33:11.209946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:33:21.683544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도가격도서관명
발행년도1.0000.0000.546
가격0.0001.0000.035
도서관명0.5460.0351.000
2023-12-11T02:33:21.919695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년도도서관명
발행년도1.0000.353
도서관명0.3531.000
2023-12-11T02:33:22.224795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격발행년도도서관명
가격1.0000.0000.026
발행년도0.0001.0000.353
도서관명0.0260.3531.000

Missing values

2023-12-11T02:33:11.465018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:33:11.798780image/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.
2023-12-11T02:33:12.100876image/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

도서명저자출판사발행년도가격청구기호도서관명기준일자
0그렇게 말하지 말아요 : 아무도 상처받지 않는 가족의 대화법김석준 지음위북202316000189.24-김54그부산광역시 강서도서관2023-03-15
1나는 해낼 수 있다 : 인생을 바꾸는 기적의 네 단어보도 섀퍼 지음 ; 박성원 옮김소미미디어202316800199.1-섀894나부산광역시 강서도서관2023-03-15
2더 바이브 : 람보르기니 타는 부처를 위하여 : 소망을 현실로 만드는 염감의 에너지 당신의 삶을 뒤흔들 기적의 힘, 바이브(VIBE)!이하영 엮음미다스북스202213500325.211-이92더부산광역시 강서도서관2023-03-15
3되는 사람 : 안 될 놈의 굴레를 깨트릴 인생 설계도도널드 밀러 지음 ; 김은영 옮김월북202317800325.211-밀294되부산광역시 강서도서관2023-03-15
4명상과 함께 하는 삶 : 지금부터 당신은 항상 괜찮을 수 있습니다김지나 지음스노우폭스북스202316500189.1-김78명부산광역시 강서도서관2023-03-15
5발명과 특허 쫌 아는 10대 : 나도 지식재산권을 가질 수 있을까?김상준 글 ; 신병근 그림풀빛202313000372.68-진295풀-4부산광역시 강서도서관2023-03-15
6인생이 지옥처럼 느껴질 때 : 변증법적 행동치료 창시자 마샤 리네한이 알려주는 살 가치 있는 인생 만드는 법마샤 리네한 지음 ; 정미나 ,박지니 옮김비잉:로크미디어202220000186.5-리194인부산광역시 강서도서관2023-03-15
7줬으면 그만이지 : 아름다운 부자 김장하 취재기김주완 지음피플파워202320000338.17099-김76줬부산광역시 강서도서관2023-03-15
8Big wave 거대한 변화 : 위기는 새로운 기회와 부자를 만든다김영익 지음한스미디어:한즈미디어202317500321.97-김64빅부산광역시 강서도서관2023-03-15
9결제는 어떻게 세상을 바꾸는가 : 결제 권력을 소유하는 자가 부의 흐름을 지배한다고트프리트 라이브란트 ,나타샤 드 테란 [공]지음 ; 김현정 옮김삼호미디어202325000327.2-라68결부산광역시 강서도서관2023-03-15
도서명저자출판사발행년도가격청구기호도서관명기준일자
1734<NA><NA><NA><NA><NA><NA><NA><NA>
1735<NA><NA><NA><NA><NA><NA><NA><NA>
1736<NA><NA><NA><NA><NA><NA><NA><NA>
1737<NA><NA><NA><NA><NA><NA><NA><NA>
1738<NA><NA><NA><NA><NA><NA><NA><NA>
1739<NA><NA><NA><NA><NA><NA><NA><NA>
1740<NA><NA><NA><NA><NA><NA><NA><NA>
1741<NA><NA><NA><NA><NA><NA><NA><NA>
1742<NA><NA><NA><NA><NA><NA><NA><NA>
1743<NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

도서명저자출판사발행년도가격청구기호도서관명기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA>757