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

Description경기도 용인시 공공도서관의 도서대출 순위(1위~100위) 목록입니다. 순위, 서명, 저자, 대출횟수 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2023-01-01~2023-04-30
URLhttps://www.data.go.kr/data/3038397/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순위 is highly overall correlated with 대출횟수High correlation
대출횟수 is highly overall correlated with 순위High correlation
순위 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:17:52.771077
Analysis finished2023-12-12 23:17:53.954634
Duration1.18 second
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
2023-12-13T08:17:54.030207image/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
2023-12-13T08:17:54.189816image/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%

서명
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T08:17:54.494160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length23.89
Min length3

Characters and Unicode

Total characters2389
Distinct characters354
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
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 row에그박사. 3
2nd row쿠키런 서바이벌 대작전. 7, 빙하편
3rd row(쿠키런) 서바이벌 대작전. 8, 용의 협곡 편
4th row불편한 편의점 : 김호연 장편소설
5th row순례주택 : 유은실 소설
ValueCountFrequency (%)
쿠키런 28
 
5.0%
22
 
3.9%
어드벤처 20
 
3.6%
살아남기 18
 
3.2%
1 16
 
2.8%
2 15
 
2.7%
손오공의 9
 
1.6%
한자 9
 
1.6%
흔한남매 8
 
1.4%
go 8
 
1.4%
Other values (292) 409
72.8%
2023-12-13T08:17:55.000291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
 
19.5%
. 87
 
3.6%
) 50
 
2.1%
( 50
 
2.1%
, 49
 
2.1%
의 40
 
1.7%
쿠 35
 
1.5%
한 33
 
1.4%
키 33
 
1.4%
이 32
 
1.3%
Other values (344) 1513
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1405
58.8%
Space Separator 467
 
19.5%
Other Punctuation 173
 
7.2%
Decimal Number 120
 
5.0%
Lowercase Letter 90
 
3.8%
Close Punctuation 50
 
2.1%
Open Punctuation 50
 
2.1%
Uppercase Letter 24
 
1.0%
Dash Punctuation 9
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 40
 
2.8%
쿠 35
 
2.5%
한 33
 
2.3%
키 33
 
2.3%
이 32
 
2.3%
아 30
 
2.1%
대 30
 
2.1%
런 29
 
2.1%
자 27
 
1.9%
남 26
 
1.9%
Other values (292) 1090
77.6%
Lowercase Letter
ValueCountFrequency (%)
i 13
14.4%
o 12
13.3%
a 12
13.3%
n 11
12.2%
r 9
10.0%
e 7
7.8%
g 5
 
5.6%
t 4
 
4.4%
h 3
 
3.3%
l 3
 
3.3%
Other values (9) 11
12.2%
Uppercase Letter
ValueCountFrequency (%)
G 7
29.2%
B 3
12.5%
K 2
 
8.3%
D 2
 
8.3%
A 2
 
8.3%
C 2
 
8.3%
V 1
 
4.2%
X 1
 
4.2%
N 1
 
4.2%
T 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 26
21.7%
2 22
18.3%
4 15
12.5%
3 11
9.2%
5 10
 
8.3%
9 9
 
7.5%
0 9
 
7.5%
8 8
 
6.7%
7 5
 
4.2%
6 5
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 87
50.3%
, 49
28.3%
: 20
 
11.6%
! 15
 
8.7%
/ 1
 
0.6%
· 1
 
0.6%
Space Separator
ValueCountFrequency (%)
467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1400
58.6%
Common 870
36.4%
Latin 114
 
4.8%
Han 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 40
 
2.9%
쿠 35
 
2.5%
한 33
 
2.4%
키 33
 
2.4%
이 32
 
2.3%
아 30
 
2.1%
대 30
 
2.1%
런 29
 
2.1%
자 27
 
1.9%
남 26
 
1.9%
Other values (287) 1085
77.5%
Latin
ValueCountFrequency (%)
i 13
11.4%
o 12
 
10.5%
a 12
 
10.5%
n 11
 
9.6%
r 9
 
7.9%
e 7
 
6.1%
G 7
 
6.1%
g 5
 
4.4%
t 4
 
3.5%
h 3
 
2.6%
Other values (21) 31
27.2%
Common
ValueCountFrequency (%)
467
53.7%
. 87
 
10.0%
) 50
 
5.7%
( 50
 
5.7%
, 49
 
5.6%
1 26
 
3.0%
2 22
 
2.5%
: 20
 
2.3%
4 15
 
1.7%
! 15
 
1.7%
Other values (11) 69
 
7.9%
Han
ValueCountFrequency (%)
浴 1
20.0%
善 1
20.0%
鮮 1
20.0%
展 1
20.0%
參 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1400
58.6%
ASCII 983
41.1%
CJK 5
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
47.5%
. 87
 
8.9%
) 50
 
5.1%
( 50
 
5.1%
, 49
 
5.0%
1 26
 
2.6%
2 22
 
2.2%
: 20
 
2.0%
4 15
 
1.5%
! 15
 
1.5%
Other values (41) 182
 
18.5%
Hangul
ValueCountFrequency (%)
의 40
 
2.9%
쿠 35
 
2.5%
한 33
 
2.4%
키 33
 
2.4%
이 32
 
2.3%
아 30
 
2.1%
대 30
 
2.1%
런 29
 
2.1%
자 27
 
1.9%
남 26
 
1.9%
Other values (287) 1085
77.5%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
浴 1
20.0%
善 1
20.0%
鮮 1
20.0%
展 1
20.0%
參 1
20.0%

저자
Text

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T08:17:55.297065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length16.68
Min length5

Characters and Unicode

Total characters1668
Distinct characters133
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

Unique54 ?
Unique (%)54.0%

Sample

1st row에그박사 원작 ; 박송이 글 ; 홍종현 그림
2nd row김강현 글 ; 김기수 그림
3rd row김강현 글 ; 김기수 그림
4th row김호연 지음
5th row유은실 지음
ValueCountFrequency (%)
93
17.7%
그림 87
16.5%
글 77
14.6%
송도수 21
 
4.0%
서정은 20
 
3.8%
한현동 16
 
3.0%
지음 16
 
3.0%
원작 11
 
2.1%
곰돌이 8
 
1.5%
co 8
 
1.5%
Other values (88) 169
32.1%
2023-12-13T08:17:55.726218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
26.7%
; 110
 
6.6%
그 93
 
5.6%
림 92
 
5.5%
글 82
 
4.9%
수 39
 
2.3%
김 39
 
2.3%
정 35
 
2.1%
이 31
 
1.9%
현 31
 
1.9%
Other values (123) 671
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1035
62.1%
Space Separator 445
26.7%
Other Punctuation 156
 
9.4%
Lowercase Letter 24
 
1.4%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 93
 
9.0%
림 92
 
8.9%
글 82
 
7.9%
수 39
 
3.8%
김 39
 
3.8%
정 35
 
3.4%
이 31
 
3.0%
현 31
 
3.0%
한 30
 
2.9%
도 24
 
2.3%
Other values (113) 539
52.1%
Other Punctuation
ValueCountFrequency (%)
; 110
70.5%
: 19
 
12.2%
. 16
 
10.3%
, 7
 
4.5%
· 4
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
o 12
50.0%
c 12
50.0%
Space Separator
ValueCountFrequency (%)
445
100.0%
Close Punctuation
ValueCountFrequency (%)
] 4
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1035
62.1%
Common 609
36.5%
Latin 24
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 93
 
9.0%
림 92
 
8.9%
글 82
 
7.9%
수 39
 
3.8%
김 39
 
3.8%
정 35
 
3.4%
이 31
 
3.0%
현 31
 
3.0%
한 30
 
2.9%
도 24
 
2.3%
Other values (113) 539
52.1%
Common
ValueCountFrequency (%)
445
73.1%
; 110
 
18.1%
: 19
 
3.1%
. 16
 
2.6%
, 7
 
1.1%
] 4
 
0.7%
[ 4
 
0.7%
· 4
 
0.7%
Latin
ValueCountFrequency (%)
o 12
50.0%
c 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1035
62.1%
ASCII 629
37.7%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
70.7%
; 110
 
17.5%
: 19
 
3.0%
. 16
 
2.5%
o 12
 
1.9%
c 12
 
1.9%
, 7
 
1.1%
] 4
 
0.6%
[ 4
 
0.6%
Hangul
ValueCountFrequency (%)
그 93
 
9.0%
림 92
 
8.9%
글 82
 
7.9%
수 39
 
3.8%
김 39
 
3.8%
정 35
 
3.4%
이 31
 
3.0%
현 31
 
3.0%
한 30
 
2.9%
도 24
 
2.3%
Other values (113) 539
52.1%
None
ValueCountFrequency (%)
· 4
100.0%

발행자
Categorical

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울문화사
28 
아이세움
15 
아울북
11 
미래엔
6 
재미북스
5 
Other values (25)
35 

Length

Max length13
Median length12
Mean length4.84
Min length2

Unique

Unique18 ?
Unique (%)18.0%

Sample

1st rowMiraeN아이세움
2nd row서울문화사
3rd row서울문화사
4th row나무옆의자
5th row비룡소

Common Values

ValueCountFrequency (%)
서울문화사 28
28.0%
아이세움 15
15.0%
아울북 11
 
11.0%
미래엔 6
 
6.0%
재미북스 5
 
5.0%
Mirae N 아이세움 3
 
3.0%
나무옆의자 3
 
3.0%
길벗스쿨 3
 
3.0%
인플루엔셜 2
 
2.0%
대원키즈 2
 
2.0%
Other values (20) 22
22.0%

Length

2023-12-13T08:17:55.901262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울문화사 28
25.5%
아이세움 19
17.3%
아울북 13
11.8%
미래엔 6
 
5.5%
재미북스 5
 
4.5%
mirae 4
 
3.6%
n 4
 
3.6%
나무옆의자 3
 
2.7%
길벗스쿨 3
 
2.7%
겜툰 2
 
1.8%
Other values (20) 23
20.9%

등록번호
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T08:17:56.127304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length12
Mean length16.06
Min length12

Characters and Unicode

Total characters1606
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st rowJU0000143586
2nd rowJU0000112989
3rd rowJU0000136074
4th rowEM0000220781, EM0000238796, EM0000241063, EM0000245015, EM0000245016, EM0000245017
5th rowEM0000238248, EM0000238821
ValueCountFrequency (%)
em0000220781 2
 
1.6%
em0000241063 2
 
1.6%
em0000245015 2
 
1.6%
em0000245016 2
 
1.6%
em0000245017 2
 
1.6%
em0000238796 2
 
1.6%
ju0000137133 1
 
0.8%
ju0000116892 1
 
0.8%
ju0000143436 1
 
0.8%
ju0000128416 1
 
0.8%
Other values (113) 113
87.6%
2023-12-13T08:17:56.551761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 581
36.2%
1 195
 
12.1%
J 102
 
6.4%
U 102
 
6.4%
2 94
 
5.9%
7 82
 
5.1%
3 81
 
5.0%
4 69
 
4.3%
5 55
 
3.4%
6 52
 
3.2%
Other values (6) 193
 
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1290
80.3%
Uppercase Letter 258
 
16.1%
Other Punctuation 29
 
1.8%
Space Separator 29
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 581
45.0%
1 195
 
15.1%
2 94
 
7.3%
7 82
 
6.4%
3 81
 
6.3%
4 69
 
5.3%
5 55
 
4.3%
6 52
 
4.0%
9 41
 
3.2%
8 40
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
J 102
39.5%
U 102
39.5%
E 27
 
10.5%
M 27
 
10.5%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1348
83.9%
Latin 258
 
16.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 581
43.1%
1 195
 
14.5%
2 94
 
7.0%
7 82
 
6.1%
3 81
 
6.0%
4 69
 
5.1%
5 55
 
4.1%
6 52
 
3.9%
9 41
 
3.0%
8 40
 
3.0%
Other values (2) 58
 
4.3%
Latin
ValueCountFrequency (%)
J 102
39.5%
U 102
39.5%
E 27
 
10.5%
M 27
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1606
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 581
36.2%
1 195
 
12.1%
J 102
 
6.4%
U 102
 
6.4%
2 94
 
5.9%
7 82
 
5.1%
3 81
 
5.0%
4 69
 
4.3%
5 55
 
3.4%
6 52
 
3.2%
Other values (6) 193
 
12.0%

청구기호
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T08:17:56.781264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length57
Mean length29.64
Min length12

Characters and Unicode

Total characters2964
Distinct characters51
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

Unique98 ?
Unique (%)98.0%

Sample

1st row아 472-에17ㅇ-3, 아 472-에17ㅇ-v.3
2nd row아 372-김12ㅅ-7, 아 372-김12ㅅ-v.7
3rd row아 372-김12ㅅ-8
4th row813.7-김95ㅂ1, 813.7-김95ㅂ1=c.2, 813.7-김95ㅂ1=c.3, 813.7-김95ㅂ1=c.4, 813.7-김95ㅂ1=c.5, 813.7-김95ㅂ1=c.6
5th row813.7-유67ㅅ, 813.7-유67ㅅ=c.2
ValueCountFrequency (%)
아 158
45.7%
813.7-김95ㅂ1 2
 
0.6%
408-아68ㅅ-66 2
 
0.6%
813.7-김95ㅂ1=c.3 2
 
0.6%
813.7-김95ㅂ1=c.4 2
 
0.6%
813.7-김95ㅂ1=c.5 2
 
0.6%
813.7-김95ㅂ1=c.6 2
 
0.6%
813.7-김95ㅂ1=c.2 2
 
0.6%
710-흔92ㅂ-v.5 1
 
0.3%
710-흔92ㅂ-v.5=c.2 1
 
0.3%
Other values (172) 172
49.7%
2023-12-13T08:17:57.138083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 372
 
12.6%
8 254
 
8.6%
246
 
8.3%
. 188
 
6.3%
2 188
 
6.3%
1 185
 
6.2%
아 184
 
6.2%
3 159
 
5.4%
9 136
 
4.6%
0 113
 
3.8%
Other values (41) 939
31.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1388
46.8%
Other Letter 534
 
18.0%
Dash Punctuation 372
 
12.6%
Other Punctuation 276
 
9.3%
Space Separator 246
 
8.3%
Lowercase Letter 112
 
3.8%
Math Symbol 36
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 184
34.5%
ㅅ 43
 
8.1%
ㅋ 40
 
7.5%
김 36
 
6.7%
송 35
 
6.6%
ㅂ 26
 
4.9%
흔 21
 
3.9%
ㅁ 20
 
3.7%
ㅎ 16
 
3.0%
시 16
 
3.0%
Other values (24) 97
18.2%
Decimal Number
ValueCountFrequency (%)
8 254
18.3%
2 188
13.5%
1 185
13.3%
3 159
11.5%
9 136
9.8%
0 113
8.1%
4 111
8.0%
5 91
 
6.6%
7 89
 
6.4%
6 62
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 188
68.1%
, 88
31.9%
Lowercase Letter
ValueCountFrequency (%)
v 76
67.9%
c 36
32.1%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%
Space Separator
ValueCountFrequency (%)
246
100.0%
Math Symbol
ValueCountFrequency (%)
= 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2318
78.2%
Hangul 534
 
18.0%
Latin 112
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 184
34.5%
ㅅ 43
 
8.1%
ㅋ 40
 
7.5%
김 36
 
6.7%
송 35
 
6.6%
ㅂ 26
 
4.9%
흔 21
 
3.9%
ㅁ 20
 
3.7%
ㅎ 16
 
3.0%
시 16
 
3.0%
Other values (24) 97
18.2%
Common
ValueCountFrequency (%)
- 372
16.0%
8 254
11.0%
246
10.6%
. 188
8.1%
2 188
8.1%
1 185
8.0%
3 159
6.9%
9 136
 
5.9%
0 113
 
4.9%
4 111
 
4.8%
Other values (5) 366
15.8%
Latin
ValueCountFrequency (%)
v 76
67.9%
c 36
32.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2430
82.0%
Hangul 346
 
11.7%
Compat Jamo 188
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 372
15.3%
8 254
10.5%
246
10.1%
. 188
 
7.7%
2 188
 
7.7%
1 185
 
7.6%
3 159
 
6.5%
9 136
 
5.6%
0 113
 
4.7%
4 111
 
4.6%
Other values (7) 478
19.7%
Hangul
ValueCountFrequency (%)
아 184
53.2%
김 36
 
10.4%
송 35
 
10.1%
흔 21
 
6.1%
시 16
 
4.6%
이 9
 
2.6%
히 8
 
2.3%
설 6
 
1.7%
재 6
 
1.7%
몬 4
 
1.2%
Other values (11) 21
 
6.1%
Compat Jamo
ValueCountFrequency (%)
ㅅ 43
22.9%
ㅋ 40
21.3%
ㅂ 26
13.8%
ㅁ 20
10.6%
ㅎ 16
 
8.5%
ㅍ 11
 
5.9%
ㄱ 9
 
4.8%
ㅈ 8
 
4.3%
ㅇ 7
 
3.7%
ㅉ 4
 
2.1%
Other values (3) 4
 
2.1%

대출횟수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11
51 
12
21 
10
17 
13
10 
14
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row14
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
11 51
51.0%
12 21
21.0%
10 17
 
17.0%
13 10
 
10.0%
14 1
 
1.0%

Length

2023-12-13T08:17:57.275155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:57.367046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 51
51.0%
12 21
21.0%
10 17
 
17.0%
13 10
 
10.0%
14 1
 
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-04-30
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-30
2nd row2023-04-30
3rd row2023-04-30
4th row2023-04-30
5th row2023-04-30

Common Values

ValueCountFrequency (%)
2023-04-30 100
100.0%

Length

2023-12-13T08:17:57.467802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:57.548925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-30 100
100.0%

Interactions

2023-12-13T08:17:53.642271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:17:57.630342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위서명저자발행자등록번호청구기호대출횟수
순위1.0000.8700.6530.4730.9400.9400.977
서명0.8701.0000.9990.9981.0001.0000.721
저자0.6530.9991.0001.0001.0001.0000.872
발행자0.4730.9981.0001.0001.0001.0000.624
등록번호0.9401.0001.0001.0001.0001.0000.799
청구기호0.9401.0001.0001.0001.0001.0000.799
대출횟수0.9770.7210.8720.6240.7990.7991.000
2023-12-13T08:17:57.745371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출횟수발행자
대출횟수1.0000.272
발행자0.2721.000
2023-12-13T08:17:57.820177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위발행자대출횟수
순위1.0000.1380.764
발행자0.1381.0000.272
대출횟수0.7640.2721.000

Missing values

2023-12-13T08:17:53.777751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:17:53.908639image/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

순위서명저자발행자등록번호청구기호대출횟수데이터기준일자
01에그박사. 3에그박사 원작 ; 박송이 글 ; 홍종현 그림MiraeN아이세움JU0000143586아 472-에17ㅇ-3, 아 472-에17ㅇ-v.3142023-04-30
12쿠키런 서바이벌 대작전. 7, 빙하편김강현 글 ; 김기수 그림서울문화사JU0000112989아 372-김12ㅅ-7, 아 372-김12ㅅ-v.7132023-04-30
23(쿠키런) 서바이벌 대작전. 8, 용의 협곡 편김강현 글 ; 김기수 그림서울문화사JU0000136074아 372-김12ㅅ-8132023-04-30
34불편한 편의점 : 김호연 장편소설김호연 지음나무옆의자EM0000220781, EM0000238796, EM0000241063, EM0000245015, EM0000245016, EM0000245017813.7-김95ㅂ1, 813.7-김95ㅂ1=c.2, 813.7-김95ㅂ1=c.3, 813.7-김95ㅂ1=c.4, 813.7-김95ㅂ1=c.5, 813.7-김95ㅂ1=c.6132023-04-30
45순례주택 : 유은실 소설유은실 지음비룡소EM0000238248, EM0000238821813.7-유67ㅅ, 813.7-유67ㅅ=c.2132023-04-30
56조류 세계에서 살아남기. 2곰돌이 co. 글 ; 한현동 그림아이세움JU0000137138아 408-아68ㅅ-49132023-04-30
67에그박사. 5 : 자연 생물 관찰 만화박송이 글 ; 홍종현 그림미래엔JU0000100070아 472-에17ㅇ-5, 아 472-에17ㅇ-v.5132023-04-30
78하얼빈김훈 지음문학동네EM0000245947, EM0000246121, EM0000247131, EM0000248388813.7-김96ㅎ2, 813.7-김96ㅎ2=c.2, 813.7-김96ㅎ2=c.3, 813.7-김96ㅎ2=c.6132023-04-30
89(쿠키런) 킹덤. 9, 고대 신목 재단김강현 지음; 김기수 그림서울문화사JU0000118107아 813.8-김12ㅋ-9, 아 813.8-김12ㅋ-v.9132023-04-30
910(손오공의 한자 대탐험) 마법천자문. 54, 처음으로 찾아내다! 발견유대영 글; 박상영, 정수영 [공]그림아울북 :JU0000117940아 711.47-시298ㅁ-54, 아 711.47-시298ㅁ-v.54132023-04-30
순위서명저자발행자등록번호청구기호대출횟수데이터기준일자
9091아쿠아리움에서 살아남기. 1곰돌이 co. 글 ; 한현동 그림아이세움JU0000127506아 408-아68ㅅ-65102023-04-30
9192고층 건물에서 살아남기. 1글: 곰돌이co. ; 그림: 한현동.미래엔JU0000127500아 408-아68ㅅ-67102023-04-30
9293설민석의 한국사 대모험. 12, 조선의 발명품 편 - 특명! X맨의 정체를 밝혀라!설민석 ; 스토리박스 [공] 지음 ; 정현희 그림이이휴먼JU0000127415아 911-설38ㅅ-12, 아 911-설38ㅅ-v.12102023-04-30
9394쿠키런 어드벤처 : 쿠키들의 신나는 세계여행. 32, 교토송도수 글 ; 서정은 그림서울문화사JU0000127358아 980-송25ㅋ-32102023-04-30
9495(손오공의 한자 대탐험) 마법천자문. 46, 헷갈려라! 미혹할 미글:김현수 ; 그림:홍거북 ; 감수:김창환아울북JU0000127336아 711.47-시298ㅁ-46102023-04-30
9596(이상한 과자 가게) 전천당. 2히로시마 레이코 글 ; 쟈쟈 그림;길벗스쿨JU0000132132, JU0000132232, JU0000136335아 833.8-히295ㅈ-2, 아 833.8-히295ㅈ-v.2=c.2, 아 833.8-히295ㅈ-v.2=c.3102023-04-30
9697Go Go 카카오프렌즈 : 세계 역사 문화 체험 학습만화. 2, 영국김미영 글 ; 김정한 그림아울북JU0000116059아 909-김38ㄱ-2-2, 아 909-김38ㄱ-v.2=c.2102023-04-30
9798(이상한 과자 가게) 전천당. 10히로시마 레이코 글 ; 쟈쟈 그림 ;길벗스쿨JU0000128454, JU0000134242아 833.8-히295ㅈ-10-2, 아 833.8-히295ㅈ-v.10102023-04-30
9899(빈대 가족의)절약 그것이 알고싶다스토리박스 글 ; 류수형 그림재미북스JU0000143135아 320.4-재38ㅂ-30102023-04-30
99100(빈대 가족의)응답하라 짠돌이 시대스토리박스 글 ; 류수형 그림재미북스JU0000143133아 320.4-재38ㅂ-28102023-04-30