Overview

Dataset statistics

Number of variables7
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory58.7 B

Variable types

Numeric1
Text5
Categorical1

Dataset

Description북부도서관 인기 도서 목록 DB를 제공합니다- 분기별 인기도서목록(등록번호, 서명, 저자, 발행처, 청구기호, 대출횟수)
Author대구광역시교육청 대구광역시립북부도서관
URLhttps://www.data.go.kr/data/15061588/fileData.do

Alerts

순위 is highly overall correlated with 대출횟수High correlation
대출횟수 is highly overall correlated with 순위High correlation
순위 has unique valuesUnique
등록번호 has unique valuesUnique
청구기호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:06:08.420698
Analysis finished2024-04-06 08:06:10.070221
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T17:06:10.227903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.95
Q150.75
median100.5
Q3150.25
95-th percentile190.05
Maximum200
Range199
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation57.879185
Coefficient of variation (CV)0.57591228
Kurtosis-1.2
Mean100.5
Median Absolute Deviation (MAD)50
Skewness0
Sum20100
Variance3350
MonotonicityStrictly increasing
2024-04-06T17:06:10.970116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
139 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (190) 190
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%

등록번호
Text

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:06:11.520369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2400
Distinct characters13
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

Unique200 ?
Unique (%)100.0%

Sample

1st rowBAW000526750
2nd rowBAW000473259
3rd rowBAW000517214
4th rowBAW000520916
5th rowBAW000515438
ValueCountFrequency (%)
baw000526750 1
 
0.5%
baw000522644 1
 
0.5%
baw000529247 1
 
0.5%
baw000522484 1
 
0.5%
baw000515926 1
 
0.5%
baw000520989 1
 
0.5%
baw000521090 1
 
0.5%
baw000520947 1
 
0.5%
baw000523948 1
 
0.5%
baw000521570 1
 
0.5%
Other values (190) 190
95.0%
2024-04-06T17:06:12.124032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 713
29.7%
5 259
 
10.8%
B 200
 
8.3%
A 200
 
8.3%
W 200
 
8.3%
2 142
 
5.9%
4 126
 
5.2%
3 125
 
5.2%
1 102
 
4.2%
8 87
 
3.6%
Other values (3) 246
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1800
75.0%
Uppercase Letter 600
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 713
39.6%
5 259
 
14.4%
2 142
 
7.9%
4 126
 
7.0%
3 125
 
6.9%
1 102
 
5.7%
8 87
 
4.8%
6 84
 
4.7%
7 82
 
4.6%
9 80
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 200
33.3%
A 200
33.3%
W 200
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1800
75.0%
Latin 600
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 713
39.6%
5 259
 
14.4%
2 142
 
7.9%
4 126
 
7.0%
3 125
 
6.9%
1 102
 
5.7%
8 87
 
4.8%
6 84
 
4.7%
7 82
 
4.6%
9 80
 
4.4%
Latin
ValueCountFrequency (%)
B 200
33.3%
A 200
33.3%
W 200
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 713
29.7%
5 259
 
10.8%
B 200
 
8.3%
A 200
 
8.3%
W 200
 
8.3%
2 142
 
5.9%
4 126
 
5.2%
3 125
 
5.2%
1 102
 
4.2%
8 87
 
3.6%
Other values (3) 246
 
10.2%

서명
Text

Distinct188
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:06:12.712206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length34
Mean length23.65
Min length5

Characters and Unicode

Total characters4730
Distinct characters490
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)88.0%

Sample

1st row타키 포오 코믹 어드벤처 : 캐릭온TV 오리지널 코믹스. 1
2nd row놓지 마 과학! 12. 정신이 코딩에 정신 놓다 2
3rd row인싸가족. 1
4th row(흔한남매) 수수께끼 어드벤처. 1
5th row급식왕GO. 6
ValueCountFrequency (%)
59
 
4.8%
1 42
 
3.4%
흔한남매 34
 
2.8%
3 25
 
2.0%
4 24
 
2.0%
2 22
 
1.8%
과학 18
 
1.5%
5 16
 
1.3%
흔한 15
 
1.2%
대모험 13
 
1.1%
Other values (587) 960
78.2%
2024-04-06T17:06:13.561958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1030
 
21.8%
. 174
 
3.7%
, 93
 
2.0%
한 82
 
1.7%
의 79
 
1.7%
이 69
 
1.5%
1 60
 
1.3%
) 60
 
1.3%
( 60
 
1.3%
흔 56
 
1.2%
Other values (480) 2967
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2873
60.7%
Space Separator 1030
 
21.8%
Other Punctuation 352
 
7.4%
Decimal Number 220
 
4.7%
Uppercase Letter 73
 
1.5%
Close Punctuation 62
 
1.3%
Open Punctuation 62
 
1.3%
Lowercase Letter 45
 
1.0%
Dash Punctuation 8
 
0.2%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 82
 
2.9%
의 79
 
2.7%
이 69
 
2.4%
흔 56
 
1.9%
남 48
 
1.7%
매 44
 
1.5%
사 44
 
1.5%
스 38
 
1.3%
구 37
 
1.3%
대 35
 
1.2%
Other values (421) 2341
81.5%
Uppercase Letter
ValueCountFrequency (%)
G 15
20.5%
T 13
17.8%
V 11
15.1%
O 7
9.6%
S 5
 
6.8%
Z 4
 
5.5%
B 3
 
4.1%
K 2
 
2.7%
I 2
 
2.7%
R 2
 
2.7%
Other values (8) 9
12.3%
Lowercase Letter
ValueCountFrequency (%)
o 13
28.9%
i 4
 
8.9%
l 3
 
6.7%
v 3
 
6.7%
n 3
 
6.7%
e 3
 
6.7%
g 2
 
4.4%
a 2
 
4.4%
u 2
 
4.4%
y 2
 
4.4%
Other values (6) 8
17.8%
Decimal Number
ValueCountFrequency (%)
1 60
27.3%
2 45
20.5%
4 33
15.0%
3 29
13.2%
5 23
 
10.5%
7 8
 
3.6%
8 8
 
3.6%
6 8
 
3.6%
9 3
 
1.4%
0 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 174
49.4%
, 93
26.4%
: 52
 
14.8%
! 26
 
7.4%
? 4
 
1.1%
· 3
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 2
40.0%
~ 2
40.0%
× 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 60
96.8%
] 2
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 60
96.8%
[ 2
 
3.2%
Space Separator
ValueCountFrequency (%)
1030
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2873
60.7%
Common 1739
36.8%
Latin 118
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 82
 
2.9%
의 79
 
2.7%
이 69
 
2.4%
흔 56
 
1.9%
남 48
 
1.7%
매 44
 
1.5%
사 44
 
1.5%
스 38
 
1.3%
구 37
 
1.3%
대 35
 
1.2%
Other values (421) 2341
81.5%
Latin
ValueCountFrequency (%)
G 15
 
12.7%
o 13
 
11.0%
T 13
 
11.0%
V 11
 
9.3%
O 7
 
5.9%
S 5
 
4.2%
Z 4
 
3.4%
i 4
 
3.4%
l 3
 
2.5%
v 3
 
2.5%
Other values (24) 40
33.9%
Common
ValueCountFrequency (%)
1030
59.2%
. 174
 
10.0%
, 93
 
5.3%
1 60
 
3.5%
) 60
 
3.5%
( 60
 
3.5%
: 52
 
3.0%
2 45
 
2.6%
4 33
 
1.9%
3 29
 
1.7%
Other values (15) 103
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2871
60.7%
ASCII 1853
39.2%
None 4
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1030
55.6%
. 174
 
9.4%
, 93
 
5.0%
1 60
 
3.2%
) 60
 
3.2%
( 60
 
3.2%
: 52
 
2.8%
2 45
 
2.4%
4 33
 
1.8%
3 29
 
1.6%
Other values (47) 217
 
11.7%
Hangul
ValueCountFrequency (%)
한 82
 
2.9%
의 79
 
2.8%
이 69
 
2.4%
흔 56
 
2.0%
남 48
 
1.7%
매 44
 
1.5%
사 44
 
1.5%
스 38
 
1.3%
구 37
 
1.3%
대 35
 
1.2%
Other values (419) 2339
81.5%
None
ValueCountFrequency (%)
· 3
75.0%
× 1
 
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
50.0%
ㅎ 1
50.0%

저자
Text

Distinct135
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:06:14.005195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length20.845
Min length3

Characters and Unicode

Total characters4169
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)54.0%

Sample

1st row캐릭온TV 원작 ; 안도감 글 ; 김규태 그림
2nd row신태훈 ; 나승훈[공저]
3rd row인싸가족 원작 ; 최재연 글 ; 김기수,황정호 [공]그림
4th row흔한남매 원작 ; 노지영 글 ; 도니패밀리 그림
5th row급식왕 원작 ; 최재연 글 ; 서후 콘티 ; 구은미 그림
ValueCountFrequency (%)
281
21.6%
그림 151
 
11.6%
글 129
 
9.9%
원작 105
 
8.1%
흔한남매 43
 
3.3%
지음 32
 
2.5%
유난희 20
 
1.5%
옮김 13
 
1.0%
백난도 12
 
0.9%
설민석,스토리박스 9
 
0.7%
Other values (242) 503
38.8%
2024-04-06T17:06:14.762271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1102
26.4%
; 280
 
6.7%
림 170
 
4.1%
그 168
 
4.0%
글 143
 
3.4%
원 110
 
2.6%
작 107
 
2.6%
김 82
 
2.0%
: 76
 
1.8%
이 70
 
1.7%
Other values (256) 1861
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2617
62.8%
Space Separator 1102
26.4%
Other Punctuation 391
 
9.4%
Uppercase Letter 27
 
0.6%
Open Punctuation 13
 
0.3%
Close Punctuation 13
 
0.3%
Lowercase Letter 4
 
0.1%
Decimal Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 170
 
6.5%
그 168
 
6.4%
글 143
 
5.5%
원 110
 
4.2%
작 107
 
4.1%
김 82
 
3.1%
이 70
 
2.7%
정 61
 
2.3%
한 61
 
2.3%
스 51
 
1.9%
Other values (237) 1594
60.9%
Uppercase Letter
ValueCountFrequency (%)
T 11
40.7%
V 11
40.7%
S 2
 
7.4%
F 1
 
3.7%
B 1
 
3.7%
N 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
; 280
71.6%
: 76
 
19.4%
, 25
 
6.4%
· 10
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
c 1
25.0%
v 1
25.0%
t 1
25.0%
Space Separator
ValueCountFrequency (%)
1102
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 13
100.0%
Close Punctuation
ValueCountFrequency (%)
] 13
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2617
62.8%
Common 1521
36.5%
Latin 31
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 170
 
6.5%
그 168
 
6.4%
글 143
 
5.5%
원 110
 
4.2%
작 107
 
4.1%
김 82
 
3.1%
이 70
 
2.7%
정 61
 
2.3%
한 61
 
2.3%
스 51
 
1.9%
Other values (237) 1594
60.9%
Latin
ValueCountFrequency (%)
T 11
35.5%
V 11
35.5%
S 2
 
6.5%
F 1
 
3.2%
B 1
 
3.2%
o 1
 
3.2%
c 1
 
3.2%
N 1
 
3.2%
v 1
 
3.2%
t 1
 
3.2%
Common
ValueCountFrequency (%)
1102
72.5%
; 280
 
18.4%
: 76
 
5.0%
, 25
 
1.6%
[ 13
 
0.9%
] 13
 
0.9%
· 10
 
0.7%
9 1
 
0.1%
× 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2617
62.8%
ASCII 1541
37.0%
None 11
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1102
71.5%
; 280
 
18.2%
: 76
 
4.9%
, 25
 
1.6%
[ 13
 
0.8%
] 13
 
0.8%
T 11
 
0.7%
V 11
 
0.7%
S 2
 
0.1%
9 1
 
0.1%
Other values (7) 7
 
0.5%
Hangul
ValueCountFrequency (%)
림 170
 
6.5%
그 168
 
6.4%
글 143
 
5.5%
원 110
 
4.2%
작 107
 
4.1%
김 82
 
3.1%
이 70
 
2.7%
정 61
 
2.3%
한 61
 
2.3%
스 51
 
1.9%
Other values (237) 1594
60.9%
None
ValueCountFrequency (%)
· 10
90.9%
× 1
 
9.1%

발행자
Text

Distinct53
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:06:15.206057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length14
Mean length5.785
Min length2

Characters and Unicode

Total characters1157
Distinct characters144
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)13.5%

Sample

1st row대원키즈
2nd row위즈덤하우스
3rd rowSANDBOX STORY
4th row아이세움
5th row샌드박스스토리키즈
ValueCountFrequency (%)
아이세움 32
 
13.2%
서울문화사 31
 
12.8%
n 17
 
7.0%
주니어김영사 15
 
6.2%
mirae 14
 
5.8%
아울북 13
 
5.4%
겜툰 10
 
4.1%
미래엔 8
 
3.3%
대원키즈 7
 
2.9%
다산어린이 7
 
2.9%
Other values (46) 88
36.4%
2024-04-06T17:06:16.099480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 77
 
6.7%
이 72
 
6.2%
사 57
 
4.9%
울 44
 
3.8%
43
 
3.7%
세 43
 
3.7%
움 43
 
3.7%
문 36
 
3.1%
화 35
 
3.0%
서 31
 
2.7%
Other values (134) 676
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 884
76.4%
Lowercase Letter 143
 
12.4%
Uppercase Letter 65
 
5.6%
Space Separator 43
 
3.7%
Close Punctuation 9
 
0.8%
Open Punctuation 9
 
0.8%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 77
 
8.7%
이 72
 
8.1%
사 57
 
6.4%
울 44
 
5.0%
세 43
 
4.9%
움 43
 
4.9%
문 36
 
4.1%
화 35
 
4.0%
서 31
 
3.5%
어 25
 
2.8%
Other values (103) 421
47.6%
Lowercase Letter
ValueCountFrequency (%)
i 29
20.3%
a 29
20.3%
r 23
16.1%
e 22
15.4%
k 12
8.4%
n 7
 
4.9%
u 6
 
4.2%
m 6
 
4.2%
o 2
 
1.4%
d 2
 
1.4%
Other values (5) 5
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
N 23
35.4%
M 22
33.8%
D 7
 
10.8%
S 4
 
6.2%
O 2
 
3.1%
R 1
 
1.5%
Y 1
 
1.5%
X 1
 
1.5%
T 1
 
1.5%
B 1
 
1.5%
Other values (2) 2
 
3.1%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
· 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 884
76.4%
Latin 208
 
18.0%
Common 65
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 77
 
8.7%
이 72
 
8.1%
사 57
 
6.4%
울 44
 
5.0%
세 43
 
4.9%
움 43
 
4.9%
문 36
 
4.1%
화 35
 
4.0%
서 31
 
3.5%
어 25
 
2.8%
Other values (103) 421
47.6%
Latin
ValueCountFrequency (%)
i 29
13.9%
a 29
13.9%
N 23
11.1%
r 23
11.1%
M 22
10.6%
e 22
10.6%
k 12
5.8%
n 7
 
3.4%
D 7
 
3.4%
u 6
 
2.9%
Other values (17) 28
13.5%
Common
ValueCountFrequency (%)
43
66.2%
) 9
 
13.8%
( 9
 
13.8%
· 4
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 884
76.4%
ASCII 269
 
23.2%
None 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 77
 
8.7%
이 72
 
8.1%
사 57
 
6.4%
울 44
 
5.0%
세 43
 
4.9%
움 43
 
4.9%
문 36
 
4.1%
화 35
 
4.0%
서 31
 
3.5%
어 25
 
2.8%
Other values (103) 421
47.6%
ASCII
ValueCountFrequency (%)
43
16.0%
i 29
10.8%
a 29
10.8%
N 23
8.6%
r 23
8.6%
M 22
8.2%
e 22
8.2%
k 12
 
4.5%
) 9
 
3.3%
( 9
 
3.3%
Other values (20) 48
17.8%
None
ValueCountFrequency (%)
· 4
100.0%

청구기호
Text

UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:06:16.458165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length13.775
Min length8

Characters and Unicode

Total characters2755
Distinct characters104
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)100.0%

Sample

1st rowJ 813.8-캐239ㅌ-1
2nd rowJ 408-신832ㄴ-12
3rd rowJ 813.8-인51ㅇ-1
4th rowJ 813.8-흔91ㅅ-1=2
5th rowJ 813.8-급59ㄱ-6
ValueCountFrequency (%)
j 185
47.7%
mc 3
 
0.8%
408-신832ㄴ-3 1
 
0.3%
219.2-설39ㄱ=2 1
 
0.3%
911-설39ㅅ-22=2 1
 
0.3%
911-설39ㅅ-21 1
 
0.3%
813.8-선59ㄷ 1
 
0.3%
909-김39ㄱ-25 1
 
0.3%
539-라41-2 1
 
0.3%
219.2-불849ㄱ-1=3 1
 
0.3%
Other values (192) 192
49.5%
2024-04-06T17:06:17.079174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 380
13.8%
1 288
10.5%
8 273
9.9%
3 216
 
7.8%
188
 
6.8%
J 185
 
6.7%
2 168
 
6.1%
9 154
 
5.6%
. 127
 
4.6%
4 98
 
3.6%
Other values (94) 678
24.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1449
52.6%
Dash Punctuation 380
 
13.8%
Other Letter 371
 
13.5%
Uppercase Letter 191
 
6.9%
Space Separator 188
 
6.8%
Other Punctuation 127
 
4.6%
Math Symbol 45
 
1.6%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 33
 
8.9%
흔 32
 
8.6%
ㅅ 30
 
8.1%
ㅂ 25
 
6.7%
ㄱ 19
 
5.1%
ㅎ 18
 
4.9%
백 15
 
4.0%
설 13
 
3.5%
김 12
 
3.2%
몬 8
 
2.2%
Other values (75) 166
44.7%
Decimal Number
ValueCountFrequency (%)
1 288
19.9%
8 273
18.8%
3 216
14.9%
2 168
11.6%
9 154
10.6%
4 98
 
6.8%
5 94
 
6.5%
0 66
 
4.6%
7 51
 
3.5%
6 41
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
J 185
96.9%
C 3
 
1.6%
M 3
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 380
100.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Other Punctuation
ValueCountFrequency (%)
. 127
100.0%
Math Symbol
ValueCountFrequency (%)
= 45
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2193
79.6%
Hangul 371
 
13.5%
Latin 191
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 33
 
8.9%
흔 32
 
8.6%
ㅅ 30
 
8.1%
ㅂ 25
 
6.7%
ㄱ 19
 
5.1%
ㅎ 18
 
4.9%
백 15
 
4.0%
설 13
 
3.5%
김 12
 
3.2%
몬 8
 
2.2%
Other values (75) 166
44.7%
Common
ValueCountFrequency (%)
- 380
17.3%
1 288
13.1%
8 273
12.4%
3 216
9.8%
188
8.6%
2 168
7.7%
9 154
7.0%
. 127
 
5.8%
4 98
 
4.5%
5 94
 
4.3%
Other values (6) 207
9.4%
Latin
ValueCountFrequency (%)
J 185
96.9%
C 3
 
1.6%
M 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2384
86.5%
Hangul 200
 
7.3%
Compat Jamo 171
 
6.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 380
15.9%
1 288
12.1%
8 273
11.5%
3 216
9.1%
188
7.9%
J 185
7.8%
2 168
7.0%
9 154
6.5%
. 127
 
5.3%
4 98
 
4.1%
Other values (9) 307
12.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 33
19.3%
ㅅ 30
17.5%
ㅂ 25
14.6%
ㄱ 19
11.1%
ㅎ 18
10.5%
ㅋ 7
 
4.1%
ㅌ 7
 
4.1%
ㄷ 6
 
3.5%
ㅁ 5
 
2.9%
ㄴ 4
 
2.3%
Other values (8) 17
9.9%
Hangul
ValueCountFrequency (%)
흔 32
 
16.0%
백 15
 
7.5%
설 13
 
6.5%
김 12
 
6.0%
몬 8
 
4.0%
송 7
 
3.5%
서 7
 
3.5%
말 6
 
3.0%
급 6
 
3.0%
에 5
 
2.5%
Other values (57) 89
44.5%

대출횟수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
9
130 
10
49 
11
16 
12
 
4
13
 
1

Length

Max length2
Median length1
Mean length1.35
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row13
2nd row12
3rd row12
4th row12
5th row12

Common Values

ValueCountFrequency (%)
9 130
65.0%
10 49
 
24.5%
11 16
 
8.0%
12 4
 
2.0%
13 1
 
0.5%

Length

2024-04-06T17:06:17.409247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:06:17.623452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 130
65.0%
10 49
 
24.5%
11 16
 
8.0%
12 4
 
2.0%
13 1
 
0.5%

Interactions

2024-04-06T17:06:09.423224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:06:17.781765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위발행자대출횟수
순위1.0000.5130.932
발행자0.5131.0000.348
대출횟수0.9320.3481.000
2024-04-06T17:06:17.959062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위대출횟수
순위1.0000.642
대출횟수0.6421.000

Missing values

2024-04-06T17:06:09.702178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:06:09.949362image/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

순위등록번호서명저자발행자청구기호대출횟수
01BAW000526750타키 포오 코믹 어드벤처 : 캐릭온TV 오리지널 코믹스. 1캐릭온TV 원작 ; 안도감 글 ; 김규태 그림대원키즈J 813.8-캐239ㅌ-113
12BAW000473259놓지 마 과학! 12. 정신이 코딩에 정신 놓다 2신태훈 ; 나승훈[공저]위즈덤하우스J 408-신832ㄴ-1212
23BAW000517214인싸가족. 1인싸가족 원작 ; 최재연 글 ; 김기수,황정호 [공]그림SANDBOX STORYJ 813.8-인51ㅇ-112
34BAW000520916(흔한남매) 수수께끼 어드벤처. 1흔한남매 원작 ; 노지영 글 ; 도니패밀리 그림아이세움J 813.8-흔91ㅅ-1=212
45BAW000515438급식왕GO. 6급식왕 원작 ; 최재연 글 ; 서후 콘티 ; 구은미 그림샌드박스스토리키즈J 813.8-급59ㄱ-612
56BAW000515247(곤충보다 작아진) 정브르. 1정브르 원작 ; 강민희 글 ; 강신영 그림겜툰J 495-정48ㅈ-111
67BAW000535609설민석의 세계사 대모험. 18, 일본편:전국 통일을 향하여설민석,김정욱 글 ; 박성일 그림 ; 박삼헌 감수단꿈아이J 909-설39ㅅ-1811
78BAW000522236흔한남매의 흔한 호기심 : 일상에서 만나는 과학 상식. 7원작: 흔한남매 ; 글: 안치현 ; 그림: 유난희Mirae N 아이세움J 400-흔91-7=211
89BAW000517524흔한남매. 11흔한남매 원작 ; 백난도 글 ; 유난희 그림미래엔J 813.8-백211ㅎ-1111
910BAW000517525흔한남매. 11흔한남매 원작 ; 백난도 글 ; 유난희 그림미래엔J 813.8-백211ㅎ-11=211
순위등록번호서명저자발행자청구기호대출횟수
190191BAW000503284브레드 이발소. 1, 컵케이크들의 화려한 변신몬스터스튜디오 원작 ; 임광천 구성형설아이J 813.8-몬58ㅂ-19
191192BAW000503259말이야와 친구들. 2말이야와 친구들 원작 ; 김정욱 글 ; 이혜림 그림주니어김영사J 813.8-말69-29
192193BAW000503179급식왕GO. 2급식왕 원작 ; 최재연 글 ; 구은미 그림아울북J 813.8-급59ㄱ-29
193194BAW000500494(에그박사의) 채집 일기 : 스티커로 채집하는 자연 생물 관찰 만화. 1에그박사 원작 ; 박송이 글 ; 홍종현 그림MiraeN·아이세움J 472-에18ㅊ-19
194195BAW000501895쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 44, 별난 지구송도수 글 ; 서정은 그림서울문화사J 980.24-송225ㅋ-449
195196BAW000503100흔한남매의 흔한 호기심 : 일상에서 만나는 과학 상식. 1원작: 흔한남매 ; 글: 안치현 ; 그림: 유난희Mirae N 아이세움J 400-흔91-19
196197BAW000505557우리 아이, 어떻게 사랑해야 할까 : 세상에서 가장 행복한 아이로 키우는 덴마크식 자녀 교육제시카 조엘 알렉산더,이벤 디싱 산달 지음 ; 이은경 옮김상상아카데미378.9-알233ㅇ=29
197198BAW000503062(읽으면서 바로 써먹는) 어린이 속담. 바이러스편글·그림: 한날파란정원J 388-한211ㅇ9
198199BAW000506349에그박사 : 자연 생물 관찰 만화. 5에그박사 원작 ; 박송이 글 ; 홍종현 그림Mirae N 아이세움J 495-에18-59
199200BAW000503149마인크래프트. [5], 저주받은 바다로의 항해제이슨 프라이 지음 ; 손영인 옮김제제의숲J 843-마69-[5]9