Overview

Dataset statistics

Number of variables8
Number of observations150
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory66.9 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description대구2·28기념학생도서관에서 소장하고 있는 도서 중 인기있는 대출 베스트도서의 청구기호, 저자, 출판사 등의 도서 정보 제공
Author대구광역시교육청 대구2.28기념학생도서관
URLhttps://www.data.go.kr/data/15074913/fileData.do

Alerts

순위 is highly overall correlated with 대출횟수High correlation
발행자 is highly overall correlated with 자료실High correlation
자료실 is highly overall correlated with 발행자High correlation
대출횟수 is highly overall correlated with 순위High correlation
자료실 is highly imbalanced (60.4%)Imbalance
순위 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:18:15.928927
Analysis finished2024-04-06 08:18:17.920056
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.5
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T17:18:18.058006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.45
Q138.25
median75.5
Q3112.75
95-th percentile142.55
Maximum150
Range149
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation43.445368
Coefficient of variation (CV)0.57543534
Kurtosis-1.2
Mean75.5
Median Absolute Deviation (MAD)37.5
Skewness0
Sum11325
Variance1887.5
MonotonicityStrictly increasing
2024-04-06T17:18:18.333582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
Other values (140) 140
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%

등록번호
Text

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T17:18:18.792281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1800
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

Unique150 ?
Unique (%)100.0%

Sample

1st rowBUA000472444
2nd rowBUA000475819
3rd rowBUA000474871
4th rowBUA000472437
5th rowBUA000438762
ValueCountFrequency (%)
bua000472444 1
 
0.7%
bua000433721 1
 
0.7%
bua000438860 1
 
0.7%
bua000429011 1
 
0.7%
bua000431876 1
 
0.7%
bua000475661 1
 
0.7%
bua000390929 1
 
0.7%
bua000397255 1
 
0.7%
bua000396651 1
 
0.7%
bua000420344 1
 
0.7%
Other values (140) 140
93.3%
2024-04-06T17:18:19.496733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 506
28.1%
4 219
12.2%
B 150
 
8.3%
U 150
 
8.3%
A 150
 
8.3%
7 104
 
5.8%
2 101
 
5.6%
5 84
 
4.7%
6 83
 
4.6%
3 77
 
4.3%
Other values (3) 176
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1350
75.0%
Uppercase Letter 450
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 506
37.5%
4 219
16.2%
7 104
 
7.7%
2 101
 
7.5%
5 84
 
6.2%
6 83
 
6.1%
3 77
 
5.7%
1 72
 
5.3%
9 53
 
3.9%
8 51
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 150
33.3%
U 150
33.3%
A 150
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1350
75.0%
Latin 450
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 506
37.5%
4 219
16.2%
7 104
 
7.7%
2 101
 
7.5%
5 84
 
6.2%
6 83
 
6.1%
3 77
 
5.7%
1 72
 
5.3%
9 53
 
3.9%
8 51
 
3.8%
Latin
ValueCountFrequency (%)
B 150
33.3%
U 150
33.3%
A 150
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 506
28.1%
4 219
12.2%
B 150
 
8.3%
U 150
 
8.3%
A 150
 
8.3%
7 104
 
5.8%
2 101
 
5.6%
5 84
 
4.7%
6 83
 
4.6%
3 77
 
4.3%
Other values (3) 176
 
9.8%

서명
Text

Distinct140
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T17:18:20.359570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length30
Mean length19.666667
Min length3

Characters and Unicode

Total characters2950
Distinct characters389
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

Unique131 ?
Unique (%)87.3%

Sample

1st row포켓몬스터 W 시즌3. 3-1
2nd row별의 커비 푸푸푸 히어로. 2, 특훈 웨이들 디
3rd row토깽이네 지구 구출 대작전. 7, 최고의 청소부를 찾아라
4th row파뿌리 24. 14
5th row말이야와 친구들. 1
ValueCountFrequency (%)
흔한남매 21
 
2.8%
2 21
 
2.8%
3 18
 
2.4%
1 17
 
2.2%
과학 14
 
1.8%
놓지 11
 
1.4%
마 11
 
1.4%
4 9
 
1.2%
5 7
 
0.9%
정신이 7
 
0.9%
Other values (399) 627
82.2%
2024-04-06T17:18:21.463806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
643
 
21.8%
. 129
 
4.4%
, 60
 
2.0%
의 50
 
1.7%
이 49
 
1.7%
1 48
 
1.6%
한 44
 
1.5%
) 42
 
1.4%
( 42
 
1.4%
2 41
 
1.4%
Other values (379) 1802
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1774
60.1%
Space Separator 643
 
21.8%
Other Punctuation 193
 
6.5%
Decimal Number 189
 
6.4%
Close Punctuation 42
 
1.4%
Open Punctuation 42
 
1.4%
Uppercase Letter 31
 
1.1%
Lowercase Letter 29
 
1.0%
Dash Punctuation 6
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 50
 
2.8%
이 49
 
2.8%
한 44
 
2.5%
마 38
 
2.1%
신 32
 
1.8%
흔 31
 
1.7%
스 27
 
1.5%
정 27
 
1.5%
남 27
 
1.5%
리 26
 
1.5%
Other values (342) 1423
80.2%
Lowercase Letter
ValueCountFrequency (%)
o 6
20.7%
e 4
13.8%
h 3
10.3%
n 3
10.3%
y 2
 
6.9%
t 2
 
6.9%
s 2
 
6.9%
i 2
 
6.9%
u 2
 
6.9%
g 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 48
25.4%
2 41
21.7%
3 28
14.8%
5 18
 
9.5%
4 13
 
6.9%
6 11
 
5.8%
8 11
 
5.8%
7 8
 
4.2%
0 6
 
3.2%
9 5
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
G 7
22.6%
V 6
19.4%
O 5
16.1%
W 5
16.1%
T 5
16.1%
S 1
 
3.2%
M 1
 
3.2%
L 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 129
66.8%
, 60
31.1%
· 4
 
2.1%
Space Separator
ValueCountFrequency (%)
643
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1774
60.1%
Common 1116
37.8%
Latin 60
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 50
 
2.8%
이 49
 
2.8%
한 44
 
2.5%
마 38
 
2.1%
신 32
 
1.8%
흔 31
 
1.7%
스 27
 
1.5%
정 27
 
1.5%
남 27
 
1.5%
리 26
 
1.5%
Other values (342) 1423
80.2%
Latin
ValueCountFrequency (%)
G 7
11.7%
o 6
10.0%
V 6
10.0%
O 5
 
8.3%
W 5
 
8.3%
T 5
 
8.3%
e 4
 
6.7%
h 3
 
5.0%
n 3
 
5.0%
y 2
 
3.3%
Other values (9) 14
23.3%
Common
ValueCountFrequency (%)
643
57.6%
. 129
 
11.6%
, 60
 
5.4%
1 48
 
4.3%
) 42
 
3.8%
( 42
 
3.8%
2 41
 
3.7%
3 28
 
2.5%
5 18
 
1.6%
4 13
 
1.2%
Other values (8) 52
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1774
60.1%
ASCII 1172
39.7%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
643
54.9%
. 129
 
11.0%
, 60
 
5.1%
1 48
 
4.1%
) 42
 
3.6%
( 42
 
3.6%
2 41
 
3.5%
3 28
 
2.4%
5 18
 
1.5%
4 13
 
1.1%
Other values (26) 108
 
9.2%
Hangul
ValueCountFrequency (%)
의 50
 
2.8%
이 49
 
2.8%
한 44
 
2.5%
마 38
 
2.1%
신 32
 
1.8%
흔 31
 
1.7%
스 27
 
1.5%
정 27
 
1.5%
남 27
 
1.5%
리 26
 
1.5%
Other values (342) 1423
80.2%
None
ValueCountFrequency (%)
· 4
100.0%

저자
Text

Distinct98
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T17:18:22.064716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length19.746667
Min length5

Characters and Unicode

Total characters2962
Distinct characters228
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)50.0%

Sample

1st row학산문화사 [편]
2nd row아오키 케이 ; 미카마루 만화 ; 김지영 옮김
3rd row토깽이네 원작 ; 잼스토리 글 ; 양선모 그림
4th row파뿌리 원작 ; 백승하 글 ; 이정태 그림
5th row말이야와 친구들 원작 ; 김정욱 글 ; 이혜림 그림
ValueCountFrequency (%)
193
21.2%
그림 99
 
10.9%
글 86
 
9.4%
원작 75
 
8.2%
흔한남매 26
 
2.9%
유난희 19
 
2.1%
지음 16
 
1.8%
백난도 14
 
1.5%
옮김 12
 
1.3%
글·그림 12
 
1.3%
Other values (191) 360
39.5%
2024-04-06T17:18:23.038414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
766
25.9%
; 192
 
6.5%
림 124
 
4.2%
그 124
 
4.2%
글 109
 
3.7%
원 82
 
2.8%
작 76
 
2.6%
이 54
 
1.8%
김 45
 
1.5%
난 34
 
1.1%
Other values (218) 1356
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1893
63.9%
Space Separator 766
25.9%
Other Punctuation 243
 
8.2%
Close Punctuation 24
 
0.8%
Open Punctuation 24
 
0.8%
Uppercase Letter 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 124
 
6.6%
그 124
 
6.6%
글 109
 
5.8%
원 82
 
4.3%
작 76
 
4.0%
이 54
 
2.9%
김 45
 
2.4%
난 34
 
1.8%
훈 31
 
1.6%
한 31
 
1.6%
Other values (207) 1183
62.5%
Other Punctuation
ValueCountFrequency (%)
; 192
79.0%
, 23
 
9.5%
· 19
 
7.8%
: 6
 
2.5%
. 2
 
0.8%
& 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
T 6
50.0%
V 6
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Close Punctuation
ValueCountFrequency (%)
] 24
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1893
63.9%
Common 1057
35.7%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 124
 
6.6%
그 124
 
6.6%
글 109
 
5.8%
원 82
 
4.3%
작 76
 
4.0%
이 54
 
2.9%
김 45
 
2.4%
난 34
 
1.8%
훈 31
 
1.6%
한 31
 
1.6%
Other values (207) 1183
62.5%
Common
ValueCountFrequency (%)
766
72.5%
; 192
 
18.2%
] 24
 
2.3%
[ 24
 
2.3%
, 23
 
2.2%
· 19
 
1.8%
: 6
 
0.6%
. 2
 
0.2%
& 1
 
0.1%
Latin
ValueCountFrequency (%)
T 6
50.0%
V 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1893
63.9%
ASCII 1050
35.4%
None 19
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
766
73.0%
; 192
 
18.3%
] 24
 
2.3%
[ 24
 
2.3%
, 23
 
2.2%
T 6
 
0.6%
V 6
 
0.6%
: 6
 
0.6%
. 2
 
0.2%
& 1
 
0.1%
Hangul
ValueCountFrequency (%)
림 124
 
6.6%
그 124
 
6.6%
글 109
 
5.8%
원 82
 
4.3%
작 76
 
4.0%
이 54
 
2.9%
김 45
 
2.4%
난 34
 
1.8%
훈 31
 
1.6%
한 31
 
1.6%
Other values (207) 1183
62.5%
None
ValueCountFrequency (%)
· 19
100.0%

발행자
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울문화사
18 
학산문화사
13 
위즈덤하우스
13 
아울북
13 
Mirae N 아이세움
9 
Other values (32)
84 

Length

Max length18
Median length12
Mean length5.8333333
Min length2

Unique

Unique19 ?
Unique (%)12.7%

Sample

1st row학산문화사
2nd row다산어린이
3rd row위즈덤하우스
4th row겜툰
5th row주니어김영사

Common Values

ValueCountFrequency (%)
서울문화사 18
 
12.0%
학산문화사 13
 
8.7%
위즈덤하우스 13
 
8.7%
아울북 13
 
8.7%
Mirae N 아이세움 9
 
6.0%
대원키즈 9
 
6.0%
Mirea N 아이세움 9
 
6.0%
주니어김영사 8
 
5.3%
미래엔 6
 
4.0%
아이세움 5
 
3.3%
Other values (27) 47
31.3%

Length

2024-04-06T17:18:23.333847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아이세움 24
12.4%
n 19
 
9.8%
서울문화사 18
 
9.3%
아울북 14
 
7.2%
학산문화사 13
 
6.7%
위즈덤하우스 13
 
6.7%
mirae 10
 
5.2%
대원키즈 9
 
4.6%
mirea 9
 
4.6%
주니어김영사 8
 
4.1%
Other values (31) 57
29.4%

청구기호
Text

Distinct149
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T17:18:23.859266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length14.486667
Min length10

Characters and Unicode

Total characters2173
Distinct characters81
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

Unique148 ?
Unique (%)98.7%

Sample

1st rowJ 813.8-학51ㅍ-3-1=3
2nd rowJ 833.8-아65ㅂ-2
3rd rowJ 539.9-토12ㅌ-7
4th rowJ 813.8-파47ㅍ-14=2
5th rowJ 813.8-말69ㅁ-1
ValueCountFrequency (%)
j 145
49.0%
813.8-인51ㅇ-3 2
 
0.7%
813.8-흔91ㅎ-9=4 1
 
0.3%
219.2-박59ㄱ-23 1
 
0.3%
320-짠225-35 1
 
0.3%
219.2-박59ㄱ-4=4 1
 
0.3%
400-신832ㄴ-15=2 1
 
0.3%
711.47-시239ㅁ-60 1
 
0.3%
883-칸839ㅁ=2 1
 
0.3%
400-신832ㄴ-12 1
 
0.3%
Other values (141) 141
47.6%
2024-04-06T17:18:24.804597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 292
13.4%
8 240
11.0%
1 207
 
9.5%
3 170
 
7.8%
146
 
6.7%
J 145
 
6.7%
2 141
 
6.5%
. 103
 
4.7%
9 93
 
4.3%
5 80
 
3.7%
Other values (71) 556
25.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1135
52.2%
Dash Punctuation 292
 
13.4%
Other Letter 292
 
13.4%
Uppercase Letter 147
 
6.8%
Space Separator 146
 
6.7%
Other Punctuation 103
 
4.7%
Math Symbol 58
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅎ 26
 
8.9%
ㅇ 25
 
8.6%
흔 24
 
8.2%
ㄱ 18
 
6.2%
ㅂ 17
 
5.8%
ㄴ 14
 
4.8%
신 14
 
4.8%
ㅁ 14
 
4.8%
이 9
 
3.1%
ㅍ 7
 
2.4%
Other values (54) 124
42.5%
Decimal Number
ValueCountFrequency (%)
8 240
21.1%
1 207
18.2%
3 170
15.0%
2 141
12.4%
9 93
 
8.2%
5 80
 
7.0%
4 73
 
6.4%
0 52
 
4.6%
7 43
 
3.8%
6 36
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
J 145
98.6%
C 1
 
0.7%
M 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Other Punctuation
ValueCountFrequency (%)
. 103
100.0%
Math Symbol
ValueCountFrequency (%)
= 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1734
79.8%
Hangul 292
 
13.4%
Latin 147
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅎ 26
 
8.9%
ㅇ 25
 
8.6%
흔 24
 
8.2%
ㄱ 18
 
6.2%
ㅂ 17
 
5.8%
ㄴ 14
 
4.8%
신 14
 
4.8%
ㅁ 14
 
4.8%
이 9
 
3.1%
ㅍ 7
 
2.4%
Other values (54) 124
42.5%
Common
ValueCountFrequency (%)
- 292
16.8%
8 240
13.8%
1 207
11.9%
3 170
9.8%
146
8.4%
2 141
8.1%
. 103
 
5.9%
9 93
 
5.4%
5 80
 
4.6%
4 73
 
4.2%
Other values (4) 189
10.9%
Latin
ValueCountFrequency (%)
J 145
98.6%
C 1
 
0.7%
M 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1881
86.6%
Hangul 150
 
6.9%
Compat Jamo 142
 
6.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 292
15.5%
8 240
12.8%
1 207
11.0%
3 170
9.0%
146
7.8%
J 145
7.7%
2 141
7.5%
. 103
 
5.5%
9 93
 
4.9%
5 80
 
4.3%
Other values (7) 264
14.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 26
18.3%
ㅇ 25
17.6%
ㄱ 18
12.7%
ㅂ 17
12.0%
ㄴ 14
9.9%
ㅁ 14
9.9%
ㅍ 7
 
4.9%
ㅅ 7
 
4.9%
ㅋ 4
 
2.8%
ㅊ 3
 
2.1%
Other values (5) 7
 
4.9%
Hangul
ValueCountFrequency (%)
흔 24
 
16.0%
신 14
 
9.3%
이 9
 
6.0%
박 7
 
4.7%
방 5
 
3.3%
김 5
 
3.3%
몬 5
 
3.3%
급 5
 
3.3%
에 5
 
3.3%
짠 4
 
2.7%
Other values (39) 67
44.7%

자료실
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
[학생]어린이만화(어린이자료실)
121 
[학생]어린이신간(어린이자료실)
13 
[학생]초등교과관련(어린이자료실)
 
7
[학생]어린이자료실
 
4
[학생]만화(일반자료실)
 
3
Other values (2)
 
2

Length

Max length18
Median length17
Mean length16.74
Min length10

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row[학생]어린이만화(어린이자료실)
2nd row[학생]어린이만화(어린이자료실)
3rd row[학생]어린이만화(어린이자료실)
4th row[학생]어린이만화(어린이자료실)
5th row[학생]어린이만화(어린이자료실)

Common Values

ValueCountFrequency (%)
[학생]어린이만화(어린이자료실) 121
80.7%
[학생]어린이신간(어린이자료실) 13
 
8.7%
[학생]초등교과관련(어린이자료실) 7
 
4.7%
[학생]어린이자료실 4
 
2.7%
[학생]만화(일반자료실) 3
 
2.0%
[학생]스마트도서관 1
 
0.7%
[학생]초등교과수록(어린이자료실) 1
 
0.7%

Length

2024-04-06T17:18:25.099986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:18:25.347134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학생]어린이만화(어린이자료실 121
80.7%
학생]어린이신간(어린이자료실 13
 
8.7%
학생]초등교과관련(어린이자료실 7
 
4.7%
학생]어린이자료실 4
 
2.7%
학생]만화(일반자료실 3
 
2.0%
학생]스마트도서관 1
 
0.7%
학생]초등교과수록(어린이자료실 1
 
0.7%

대출횟수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
9
99 
10
37 
11
13 
13
 
1

Length

Max length2
Median length1
Mean length1.34
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row13
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
9 99
66.0%
10 37
 
24.7%
11 13
 
8.7%
13 1
 
0.7%

Length

2024-04-06T17:18:25.598671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:18:25.950678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 99
66.0%
10 37
 
24.7%
11 13
 
8.7%
13 1
 
0.7%

Interactions

2024-04-06T17:18:17.287832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:18:26.104974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위저자발행자자료실대출횟수
순위1.0000.7030.5020.2510.883
저자0.7031.0000.9980.9770.000
발행자0.5020.9981.0000.9500.000
자료실0.2510.9770.9501.0000.000
대출횟수0.8830.0000.0000.0001.000
2024-04-06T17:18:26.308142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행자자료실대출횟수
발행자1.0000.6900.000
자료실0.6901.0000.000
대출횟수0.0000.0001.000
2024-04-06T17:18:26.496474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위발행자자료실대출횟수
순위1.0000.1750.1270.736
발행자0.1751.0000.6900.000
자료실0.1270.6901.0000.000
대출횟수0.7360.0000.0001.000

Missing values

2024-04-06T17:18:17.555459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:18:17.818502image/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

순위등록번호서명저자발행자청구기호자료실대출횟수
01BUA000472444포켓몬스터 W 시즌3. 3-1학산문화사 [편]학산문화사J 813.8-학51ㅍ-3-1=3[학생]어린이만화(어린이자료실)13
12BUA000475819별의 커비 푸푸푸 히어로. 2, 특훈 웨이들 디아오키 케이 ; 미카마루 만화 ; 김지영 옮김다산어린이J 833.8-아65ㅂ-2[학생]어린이만화(어린이자료실)11
23BUA000474871토깽이네 지구 구출 대작전. 7, 최고의 청소부를 찾아라토깽이네 원작 ; 잼스토리 글 ; 양선모 그림위즈덤하우스J 539.9-토12ㅌ-7[학생]어린이만화(어린이자료실)11
34BUA000472437파뿌리 24. 14파뿌리 원작 ; 백승하 글 ; 이정태 그림겜툰J 813.8-파47ㅍ-14=2[학생]어린이만화(어린이자료실)11
45BUA000438762말이야와 친구들. 1말이야와 친구들 원작 ; 김정욱 글 ; 이혜림 그림주니어김영사J 813.8-말69ㅁ-1[학생]어린이만화(어린이자료실)11
56BUA000421207엄마는 단짝친구. 1이빈 글·그림학산문화사J 813.8-이49ㅇ-1=2[학생]어린이만화(어린이자료실)11
67BUA000463679인싸가족 VS 인싸스쿨. 3인싸가족 원작 ; 박동명 글 ; 류수형 그림예림당J 813.8-인51ㅇ-3[학생]어린이만화(어린이자료실)11
78BUA000456521파뿌리 24. 9파뿌리 원작 ; 백승하 글 ; 이정태 그림겜툰J 813.8-파47ㅍ-9[학생]어린이만화(어린이자료실)11
89BUA000468895(흔한남매) 별난 세계 여행. 1, 세계 유명 박물관흔한남매 원작 ; 박시연 글 ; 정주연 그림미래엔J 980.24-흔91ㅂ-1=4[학생]어린이만화(어린이자료실)11
910BUA000467313흔한남매. 13흔한남매 원작 ; 백난도 글 ; 유난희 그림Mirae N 아이세움J 813.8-흔91ㅎ-13=4[학생]어린이만화(어린이자료실)11
순위등록번호서명저자발행자청구기호자료실대출횟수
140141BUA000451624흔한남매. 3흔한남매 원작 ; 백난도 글 ; 유난희 그림Mirea N 아이세움J 813.8-흔91ㅎ-3=2[학생]어린이만화(어린이자료실)9
141142BUA000456363급식왕 GO. 7급식왕 원작 ; 최재연 글 ; 구은미 그림샌드박스스토리키즈J 813.8-급59ㄱ-7=2[학생]어린이만화(어린이자료실)9
142143BUA000453214(TV판) 반지의 비밀일기 시즌3. 2권종이 원작대원씨아이J 813.8-종69ㅂ-3-2[학생]어린이만화(어린이자료실)9
143144BUA000451623흔한남매. 2흔한남매 원작 ; 백난도 글 ; 유난희 그림Mirea N 아이세움J 813.8-흔91ㅎ-2=2[학생]어린이만화(어린이자료실)9
144145BUA000453237브레드 이발소 시즌2. 5, 브레드의 빵 터지는 날들몬스터 스튜디오 원작 ; 임광천 구성형설아이J 813.8-몬58ㅂ-2-5[학생]어린이만화(어린이자료실)9
145146BUA000454572흔한남매. 9흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움J 813.8-흔91ㅎ-9=5[학생]어린이만화(어린이자료실)9
146147BUA000454571흔한남매. 9흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움J 813.8-흔91ㅎ-9=4[학생]어린이만화(어린이자료실)9
147148BUA000449931엄마는 단짝친구. 11이빈 글·그림학산문화사J 813.8-이49ㅇ-11=2[학생]어린이만화(어린이자료실)9
148149BUA000456511쿠키런 킹덤 오염된 석류의 숲. 8김강현 글 ; 김기수 그림서울문화사J 813.8-김11ㅋ-8[학생]어린이만화(어린이자료실)9
149150BUA000451626흔한남매. 4흔한남매 원작 ; 백난도 글 ; 유난희 그림Mirea N 아이세움J 813.8-흔91ㅎ-4=2[학생]어린이만화(어린이자료실)9