Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory67.3 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description대구광역시립달성도서관 2024년 1분기 인기도서에 대한 데이터로 순위, 청구기호, 서명, 저자, 발행자, 대출횟수 등의 항목을 제공합니다.
Author대구광역시교육청 대구광역시립달성도서관
URLhttps://www.data.go.kr/data/3050586/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 (91.9%)Imbalance
순위 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:37:27.406763
Analysis finished2024-04-06 08:37:31.134462
Duration3.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T17:37:31.581439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-04-06T17:37:32.101251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

등록번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-06T17:37:32.756823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1200
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowBPG000213766
2nd rowBPG000240470
3rd rowBPG000245188
4th rowBPG000247289
5th rowBPG000244911
ValueCountFrequency (%)
bpg000213766 1
 
1.0%
bpg000244897 1
 
1.0%
bpg000248494 1
 
1.0%
bpg000247416 1
 
1.0%
bpg000242488 1
 
1.0%
bpg000246572 1
 
1.0%
bpg000244024 1
 
1.0%
bpg000245595 1
 
1.0%
bpg000245111 1
 
1.0%
bpg000244029 1
 
1.0%
Other values (90) 90
90.0%
2024-04-06T17:37:33.904278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 346
28.8%
2 138
 
11.5%
B 100
 
8.3%
P 100
 
8.3%
G 100
 
8.3%
4 83
 
6.9%
1 65
 
5.4%
3 56
 
4.7%
9 53
 
4.4%
5 49
 
4.1%
Other values (3) 110
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
75.0%
Uppercase Letter 300
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 346
38.4%
2 138
 
15.3%
4 83
 
9.2%
1 65
 
7.2%
3 56
 
6.2%
9 53
 
5.9%
5 49
 
5.4%
8 39
 
4.3%
6 37
 
4.1%
7 34
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 100
33.3%
P 100
33.3%
G 100
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 900
75.0%
Latin 300
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 346
38.4%
2 138
 
15.3%
4 83
 
9.2%
1 65
 
7.2%
3 56
 
6.2%
9 53
 
5.9%
5 49
 
5.4%
8 39
 
4.3%
6 37
 
4.1%
7 34
 
3.8%
Latin
ValueCountFrequency (%)
B 100
33.3%
P 100
33.3%
G 100
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 346
28.8%
2 138
 
11.5%
B 100
 
8.3%
P 100
 
8.3%
G 100
 
8.3%
4 83
 
6.9%
1 65
 
5.4%
3 56
 
4.7%
9 53
 
4.4%
5 49
 
4.1%
Other values (3) 110
 
9.2%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-06T17:37:34.441349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length13.4
Min length10

Characters and Unicode

Total characters1340
Distinct characters72
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

Unique96 ?
Unique (%)96.0%

Sample

1st rowJ 219-그239-13
2nd rowJ 404-흔91ㅎ-7
3rd rowJ 813.8-인51ㅇ-4
4th rowJ 813.8-이64ㅂ-4
5th rowJ 527.386-비31ㅂ-5
ValueCountFrequency (%)
j 97
48.7%
mc 2
 
1.0%
813.8-민73ㅁ-2 2
 
1.0%
813.8-인51ㅇ-2 2
 
1.0%
813.8-방67ㅂ-1 1
 
0.5%
813.8-안64ㅅ-2 1
 
0.5%
219-그239-4=2 1
 
0.5%
813.8-쌍227ㅆ-1 1
 
0.5%
813.8-흔91ㅎ-12 1
 
0.5%
813.8-민73ㅉ-1=2 1
 
0.5%
Other values (90) 90
45.2%
2024-04-06T17:37:35.629939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 185
13.8%
1 129
 
9.6%
8 125
 
9.3%
3 102
 
7.6%
99
 
7.4%
J 97
 
7.2%
2 91
 
6.8%
9 83
 
6.2%
. 62
 
4.6%
4 44
 
3.3%
Other values (62) 323
24.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 709
52.9%
Dash Punctuation 185
 
13.8%
Other Letter 173
 
12.9%
Uppercase Letter 101
 
7.5%
Space Separator 99
 
7.4%
Other Punctuation 62
 
4.6%
Math Symbol 11
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
9.8%
16
 
9.2%
13
 
7.5%
9
 
5.2%
8
 
4.6%
7
 
4.0%
7
 
4.0%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (45) 81
46.8%
Decimal Number
ValueCountFrequency (%)
1 129
18.2%
8 125
17.6%
3 102
14.4%
2 91
12.8%
9 83
11.7%
4 44
 
6.2%
5 42
 
5.9%
7 39
 
5.5%
0 30
 
4.2%
6 24
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
J 97
96.0%
M 2
 
2.0%
C 2
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Other Punctuation
ValueCountFrequency (%)
. 62
100.0%
Math Symbol
ValueCountFrequency (%)
= 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1066
79.6%
Hangul 173
 
12.9%
Latin 101
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
9.8%
16
 
9.2%
13
 
7.5%
9
 
5.2%
8
 
4.6%
7
 
4.0%
7
 
4.0%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (45) 81
46.8%
Common
ValueCountFrequency (%)
- 185
17.4%
1 129
12.1%
8 125
11.7%
3 102
9.6%
99
9.3%
2 91
8.5%
9 83
7.8%
. 62
 
5.8%
4 44
 
4.1%
5 42
 
3.9%
Other values (4) 104
9.8%
Latin
ValueCountFrequency (%)
J 97
96.0%
M 2
 
2.0%
C 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1167
87.1%
Hangul 100
 
7.5%
Compat Jamo 73
 
5.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 185
15.9%
1 129
11.1%
8 125
10.7%
3 102
8.7%
99
8.5%
J 97
8.3%
2 91
7.8%
9 83
7.1%
. 62
 
5.3%
4 44
 
3.8%
Other values (7) 150
12.9%
Hangul
ValueCountFrequency (%)
17
 
17.0%
9
 
9.0%
5
 
5.0%
5
 
5.0%
4
 
4.0%
4
 
4.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
3
 
3.0%
Other values (31) 43
43.0%
Compat Jamo
ValueCountFrequency (%)
16
21.9%
13
17.8%
8
11.0%
7
9.6%
7
9.6%
5
 
6.8%
5
 
6.8%
3
 
4.1%
3
 
4.1%
2
 
2.7%
Other values (4) 4
 
5.5%

서명
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-06T17:37:36.672713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length33
Mean length22.28
Min length5

Characters and Unicode

Total characters2228
Distinct characters347
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

Unique94 ?
Unique (%)94.0%

Sample

1st row그리스 로마 신화. 13, 도도한 여신, 아르테미스의 원칙
2nd row흔한남매의 흔한 호기심. 7
3rd row인싸가족 VS 인싸스쿨 : 핵인싸 코믹 가족 시트콤. 4
4th row밥스 패밀리. 4, 부침개 왕을 뽑아라
5th row비마이펫 멍냥연구소. 5
ValueCountFrequency (%)
16
 
2.8%
2 16
 
2.8%
1 14
 
2.4%
신화 14
 
2.4%
로마 14
 
2.4%
그리스 14
 
2.4%
흔한남매 12
 
2.1%
과학 11
 
1.9%
4 7
 
1.2%
3 7
 
1.2%
Other values (323) 453
78.4%
2024-04-06T17:37:38.271183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
 
21.5%
. 85
 
3.8%
, 50
 
2.2%
42
 
1.9%
41
 
1.8%
41
 
1.8%
41
 
1.8%
35
 
1.6%
33
 
1.5%
1 31
 
1.4%
Other values (337) 1351
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1366
61.3%
Space Separator 478
 
21.5%
Other Punctuation 173
 
7.8%
Decimal Number 116
 
5.2%
Open Punctuation 31
 
1.4%
Close Punctuation 31
 
1.4%
Uppercase Letter 21
 
0.9%
Dash Punctuation 6
 
0.3%
Lowercase Letter 4
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
3.1%
41
 
3.0%
41
 
3.0%
41
 
3.0%
35
 
2.6%
33
 
2.4%
30
 
2.2%
21
 
1.5%
21
 
1.5%
18
 
1.3%
Other values (304) 1043
76.4%
Decimal Number
ValueCountFrequency (%)
1 31
26.7%
2 27
23.3%
3 13
11.2%
5 13
11.2%
4 9
 
7.8%
7 8
 
6.9%
0 6
 
5.2%
6 4
 
3.4%
9 3
 
2.6%
8 2
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
V 6
28.6%
S 5
23.8%
T 4
19.0%
G 2
 
9.5%
N 1
 
4.8%
O 1
 
4.8%
P 1
 
4.8%
C 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 85
49.1%
, 50
28.9%
: 16
 
9.2%
! 14
 
8.1%
· 6
 
3.5%
& 1
 
0.6%
? 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
e 1
25.0%
w 1
25.0%
Space Separator
ValueCountFrequency (%)
478
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1366
61.3%
Common 837
37.6%
Latin 25
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
3.1%
41
 
3.0%
41
 
3.0%
41
 
3.0%
35
 
2.6%
33
 
2.4%
30
 
2.2%
21
 
1.5%
21
 
1.5%
18
 
1.3%
Other values (304) 1043
76.4%
Common
ValueCountFrequency (%)
478
57.1%
. 85
 
10.2%
, 50
 
6.0%
1 31
 
3.7%
( 31
 
3.7%
) 31
 
3.7%
2 27
 
3.2%
: 16
 
1.9%
! 14
 
1.7%
3 13
 
1.6%
Other values (12) 61
 
7.3%
Latin
ValueCountFrequency (%)
V 6
24.0%
S 5
20.0%
T 4
16.0%
o 2
 
8.0%
G 2
 
8.0%
e 1
 
4.0%
w 1
 
4.0%
N 1
 
4.0%
O 1
 
4.0%
P 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1366
61.3%
ASCII 856
38.4%
None 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
478
55.8%
. 85
 
9.9%
, 50
 
5.8%
1 31
 
3.6%
( 31
 
3.6%
) 31
 
3.6%
2 27
 
3.2%
: 16
 
1.9%
! 14
 
1.6%
3 13
 
1.5%
Other values (22) 80
 
9.3%
Hangul
ValueCountFrequency (%)
42
 
3.1%
41
 
3.0%
41
 
3.0%
41
 
3.0%
35
 
2.6%
33
 
2.4%
30
 
2.2%
21
 
1.5%
21
 
1.5%
18
 
1.3%
Other values (304) 1043
76.4%
None
ValueCountFrequency (%)
· 6
100.0%

저자
Text

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-06T17:37:39.603835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length20.44
Min length6

Characters and Unicode

Total characters2044
Distinct characters216
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

Unique64 ?
Unique (%)64.0%

Sample

1st row박시연 글 ; 최우빈 그림
2nd row흔한남매 원작 ; 안치현 글 ; 유난희 그림
3rd row인싸가족 원저 ; 박동명 글 ; 류수형 그림
4th row이연지 글 ; 이정화 그림
5th row비마이펫 원작 ; 박지영 만화 구성
ValueCountFrequency (%)
133
21.3%
그림 71
 
11.4%
66
 
10.6%
원작 44
 
7.1%
흔한남매 16
 
2.6%
박시연 12
 
1.9%
최우빈 12
 
1.9%
유난희 8
 
1.3%
지음 6
 
1.0%
글·그림 6
 
1.0%
Other values (155) 250
40.1%
2024-04-06T17:37:42.001894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
535
26.2%
; 133
 
6.5%
89
 
4.4%
86
 
4.2%
81
 
4.0%
50
 
2.4%
44
 
2.2%
: 37
 
1.8%
36
 
1.8%
28
 
1.4%
Other values (206) 925
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1241
60.7%
Space Separator 535
26.2%
Other Punctuation 198
 
9.7%
Uppercase Letter 37
 
1.8%
Lowercase Letter 25
 
1.2%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
89
 
7.2%
86
 
6.9%
81
 
6.5%
50
 
4.0%
44
 
3.5%
36
 
2.9%
28
 
2.3%
23
 
1.9%
22
 
1.8%
21
 
1.7%
Other values (171) 761
61.3%
Uppercase Letter
ValueCountFrequency (%)
T 10
27.0%
V 7
18.9%
O 3
 
8.1%
M 2
 
5.4%
S 2
 
5.4%
C 2
 
5.4%
A 2
 
5.4%
K 1
 
2.7%
Z 1
 
2.7%
B 1
 
2.7%
Other values (6) 6
16.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
12.0%
e 3
12.0%
a 3
12.0%
s 3
12.0%
o 3
12.0%
t 3
12.0%
u 2
8.0%
y 2
8.0%
h 1
 
4.0%
n 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
; 133
67.2%
: 37
 
18.7%
, 12
 
6.1%
· 11
 
5.6%
. 5
 
2.5%
Space Separator
ValueCountFrequency (%)
535
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
] 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1241
60.7%
Common 741
36.3%
Latin 62
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
89
 
7.2%
86
 
6.9%
81
 
6.5%
50
 
4.0%
44
 
3.5%
36
 
2.9%
28
 
2.3%
23
 
1.9%
22
 
1.8%
21
 
1.7%
Other values (171) 761
61.3%
Latin
ValueCountFrequency (%)
T 10
16.1%
V 7
 
11.3%
r 3
 
4.8%
e 3
 
4.8%
a 3
 
4.8%
s 3
 
4.8%
o 3
 
4.8%
O 3
 
4.8%
t 3
 
4.8%
u 2
 
3.2%
Other values (17) 22
35.5%
Common
ValueCountFrequency (%)
535
72.2%
; 133
 
17.9%
: 37
 
5.0%
, 12
 
1.6%
· 11
 
1.5%
. 5
 
0.7%
[ 4
 
0.5%
] 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1241
60.7%
ASCII 792
38.7%
None 11
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
535
67.6%
; 133
 
16.8%
: 37
 
4.7%
, 12
 
1.5%
T 10
 
1.3%
V 7
 
0.9%
. 5
 
0.6%
[ 4
 
0.5%
] 4
 
0.5%
r 3
 
0.4%
Other values (24) 42
 
5.3%
Hangul
ValueCountFrequency (%)
89
 
7.2%
86
 
6.9%
81
 
6.5%
50
 
4.0%
44
 
3.5%
36
 
2.9%
28
 
2.3%
23
 
1.9%
22
 
1.8%
21
 
1.7%
Other values (171) 761
61.3%
None
ValueCountFrequency (%)
· 11
100.0%

발행자
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울문화사
10 
주니어김영사
대원키즈
미래엔
 
6
위즈덤하우스
 
6
Other values (35)
61 

Length

Max length17
Median length10
Mean length5.49
Min length2

Unique

Unique21 ?
Unique (%)21.0%

Sample

1st row북이십일 아울북
2nd rowMirae N 아이세움
3rd row예림당
4th row겜툰
5th row서울문화사

Common Values

ValueCountFrequency (%)
서울문화사 10
 
10.0%
주니어김영사 9
 
9.0%
대원키즈 8
 
8.0%
미래엔 6
 
6.0%
위즈덤하우스 6
 
6.0%
아이세움 5
 
5.0%
북이십일 아울북 4
 
4.0%
Mirae N 아이세움 4
 
4.0%
아울북 4
 
4.0%
아울북(북이십일) 3
 
3.0%
Other values (30) 41
41.0%

Length

2024-04-06T17:37:42.892376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울문화사 10
 
8.5%
아이세움 10
 
8.5%
대원키즈 9
 
7.7%
주니어김영사 9
 
7.7%
아울북 8
 
6.8%
미래엔 7
 
6.0%
위즈덤하우스 6
 
5.1%
n 6
 
5.1%
mirae 5
 
4.3%
북이십일 4
 
3.4%
Other values (29) 43
36.8%

자료실
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
[달성]어린이자료실
99 
[달성]일반자료실
 
1

Length

Max length10
Median length10
Mean length9.99
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row[달성]어린이자료실
2nd row[달성]어린이자료실
3rd row[달성]어린이자료실
4th row[달성]어린이자료실
5th row[달성]어린이자료실

Common Values

ValueCountFrequency (%)
[달성]어린이자료실 99
99.0%
[달성]일반자료실 1
 
1.0%

Length

2024-04-06T17:37:43.342758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:37:43.930615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성]어린이자료실 99
99.0%
달성]일반자료실 1
 
1.0%

대출횟수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9
62 
10
25 
11
11 
13
 
1
12
 
1

Length

Max length2
Median length1
Mean length1.38
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row13
2nd row12
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
9 62
62.0%
10 25
25.0%
11 11
 
11.0%
13 1
 
1.0%
12 1
 
1.0%

Length

2024-04-06T17:37:44.601696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:37:45.138335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9 62
62.0%
10 25
25.0%
11 11
 
11.0%
13 1
 
1.0%
12 1
 
1.0%

Interactions

2024-04-06T17:37:29.915400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:37:45.458997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위등록번호청구기호서명저자발행자자료실대출횟수
순위1.0001.0000.8700.9390.7100.4250.0410.909
등록번호1.0001.0001.0001.0001.0001.0001.0001.000
청구기호0.8701.0001.0000.9920.9600.9391.0000.617
서명0.9391.0000.9921.0001.0001.0001.0000.963
저자0.7101.0000.9601.0001.0000.9931.0000.000
발행자0.4251.0000.9391.0000.9931.0001.0000.000
자료실0.0411.0001.0001.0001.0001.0001.0000.000
대출횟수0.9091.0000.6170.9630.0000.0000.0001.000
2024-04-06T17:37:45.982364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출횟수발행자자료실
대출횟수1.0000.0000.000
발행자0.0001.0000.782
자료실0.0000.7821.000
2024-04-06T17:37:46.551734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위발행자자료실대출횟수
순위1.0000.1020.0000.588
발행자0.1021.0000.7820.000
자료실0.0000.7821.0000.000
대출횟수0.5880.0000.0001.000

Missing values

2024-04-06T17:37:30.370796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:37:30.896838image/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

순위등록번호청구기호서명저자발행자자료실대출횟수
01BPG000213766J 219-그239-13그리스 로마 신화. 13, 도도한 여신, 아르테미스의 원칙박시연 글 ; 최우빈 그림북이십일 아울북[달성]어린이자료실13
12BPG000240470J 404-흔91ㅎ-7흔한남매의 흔한 호기심. 7흔한남매 원작 ; 안치현 글 ; 유난희 그림Mirae N 아이세움[달성]어린이자료실12
23BPG000245188J 813.8-인51ㅇ-4인싸가족 VS 인싸스쿨 : 핵인싸 코믹 가족 시트콤. 4인싸가족 원저 ; 박동명 글 ; 류수형 그림예림당[달성]어린이자료실11
34BPG000247289J 813.8-이64ㅂ-4밥스 패밀리. 4, 부침개 왕을 뽑아라이연지 글 ; 이정화 그림겜툰[달성]어린이자료실11
45BPG000244911J 527.386-비31ㅂ-5비마이펫 멍냥연구소. 5비마이펫 원작 ; 박지영 만화 구성서울문화사[달성]어린이자료실11
56BPG000242577J 813.8-민73ㅁ-2민쩌미 옛날옛쩜. 2민쩌미 원작 ; 유엔제이 구성대원키즈[달성]어린이자료실11
67BPG000245186J 813.8-인51ㅇ-2인싸가족 VS 인싸스쿨 : 핵인싸 코믹 가족 시트콤. 2인싸가족 원작 ; 박동명 글 ; 류수형 그림예림당[달성]어린이자료실11
78BPG000234747J 404-흔91-4흔한남매의 흔한 호기심 : 일상에서 만나는 과학 상식. 4흔한남매 원작 ; 안치현 글 ; 유난희 그림미래엔[달성]어린이자료실11
89BPG000231589J 408-놓79-15놓지 마 과학!. 15, 사라진 마이아사우라의 호박장식을 찾아라신태훈,,나승훈 [공]글·그림위즈덤하우스[달성]어린이자료실11
910BPG000226651J 219-그239-23그리스 로마 신화. 23, 거신족의 역습박시연 글 ; 최우빈 그림북이십일 아울북[달성]어린이자료실11
순위등록번호청구기호서명저자발행자자료실대출횟수
9091BPG000254310J 813.8-안225ㅌ-3타키·포오 코믹 어드벤처. 3캐릭온TV 원작 ; 안도감 글 ; 김규태 그림대원키즈[달성]어린이자료실9
9192BPG000231588J 408-놓79-14놓지 마 과학!. 14, 정신이 바이러스에 정신 놓다신태훈,나승훈 [공]글·그림위즈덤하우스[달성]어린이자료실9
9293BPG000226614J 457-츠819ㄱ(최강왕) 공룡 배틀감수: 츠치야 켄 ; 옮김: 이진원글송이[달성]어린이자료실9
9394BPG000233087J 372.42-쿠829-35쿠키런 서바이벌 대작전. 35, 마지막 기회 편김강현 글 ; 김기수 그림서울문화사[달성]어린이자료실9
9495BPG000231621J 813.8-흔91ㅂ-2(흔한남매) 별난 방탈출 : 탈출 미션 스토리북. 1-3흔한남매 원작 ; 김언정 글 ; 차차 그림Mirae N 아이세움[달성]어린이자료실9
9596BPG000232246J 219-그239-25그리스 로마 신화. 25, 파리스의 심판글: 박시연 ; 그림: 최우빈아울북[달성]어린이자료실9
9697BPG000232289J 710-흔91ㅂ-4(흔한남매)불꽃 튀는 우리말. 4흔한남매 원작 ; 한은호 글 ; 유희석 그림다산어린이[달성]어린이자료실9
9798BPG000229580J 813.8-몬58ㅂ-1브레드 이발소 시즌2. 1, New! 브레드이발소몬스터스튜디오 원작 ; 임광천 구성형설아이[달성]어린이자료실9
9899BPG000229551J 408-방825ㅎ-2(최고다! 과학) 호기심 딱지. 2, 판다왕의 이상한 마트글: 방콕고양이 ; 그림: 윤현우EBS BOOKS[달성]어린이자료실9
99100BPG000227420J 219-그239-20그리스 로마 신화. 20, 아테네를 구한 영웅 테세우스박시연 글 ; 최우빈 그림아울북[달성]어린이자료실9