Overview

Dataset statistics

Number of variables7
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory59.3 B

Variable types

Numeric2
Text5

Dataset

Description2014년도 광진정보도서관 도서대출 베스트 100
Author광진구시설관리공단
URLhttps://www.data.go.kr/data/15044588/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

Reproduction

Analysis started2023-12-12 21:37:12.996528
Analysis finished2023-12-12 21:37:14.442768
Duration1.45 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
2023-12-13T06:37:14.512587image/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
2023-12-13T06:37:14.638189image/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
2023-12-13T06:37:14.902355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters800
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 rowCM058980
2nd rowCM051007
3rd rowCM048513
4th rowCM058885
5th rowCM059080
ValueCountFrequency (%)
cm058980 1
 
1.0%
cm049394 1
 
1.0%
cm057019 1
 
1.0%
cm056992 1
 
1.0%
cm056502 1
 
1.0%
cm056092 1
 
1.0%
cm055916 1
 
1.0%
cm055862 1
 
1.0%
cm055452 1
 
1.0%
cm055238 1
 
1.0%
Other values (90) 90
90.0%
2023-12-13T06:37:15.298699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 124
15.5%
5 107
13.4%
M 100
12.5%
C 88
11.0%
1 61
7.6%
9 54
6.8%
8 52
6.5%
2 45
 
5.6%
6 41
 
5.1%
7 39
 
4.9%
Other values (3) 89
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
75.0%
Uppercase Letter 200
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 124
20.7%
5 107
17.8%
1 61
10.2%
9 54
9.0%
8 52
8.7%
2 45
 
7.5%
6 41
 
6.8%
7 39
 
6.5%
4 39
 
6.5%
3 38
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
M 100
50.0%
C 88
44.0%
E 12
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
75.0%
Latin 200
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 124
20.7%
5 107
17.8%
1 61
10.2%
9 54
9.0%
8 52
8.7%
2 45
 
7.5%
6 41
 
6.8%
7 39
 
6.5%
4 39
 
6.5%
3 38
 
6.3%
Latin
ValueCountFrequency (%)
M 100
50.0%
C 88
44.0%
E 12
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 124
15.5%
5 107
13.4%
M 100
12.5%
C 88
11.0%
1 61
7.6%
9 54
6.8%
8 52
6.5%
2 45
 
5.6%
6 41
 
5.1%
7 39
 
4.9%
Other values (3) 89
11.1%

서명
Text

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T06:37:15.646000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length42.5
Mean length33.25
Min length16

Characters and Unicode

Total characters3325
Distinct characters451
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

Unique85 ?
Unique (%)85.0%

Sample

1st row어린이 과학 형사대 CSI :CSI 시즌3 /고희정 글 ;서용남 그림.21-26
2nd row수학 도둑 /송도수 글 ;서정은 그림.1-38
3rd row수학 도둑 /송도수 글 ;서정은 그림.1-38
4th row내 친구 스마트폰 /최정현 글 ;대성 그림
5th rowWho? 알프레드 노벨 =Alfred Nobel /김성훈 글 ;최병국 그림
ValueCountFrequency (%)
글 68
 
8.3%
그림 52
 
6.4%
옮김 26
 
3.2%
지음 16
 
2.0%
송도수 13
 
1.6%
서정은 13
 
1.6%
수학 9
 
1.1%
도둑 8
 
1.0%
글·그림 8
 
1.0%
그림.1-38 7
 
0.9%
Other values (508) 595
73.0%
2023-12-13T06:37:16.095770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
718
 
21.6%
; 109
 
3.3%
/ 99
 
3.0%
그 86
 
2.6%
림 83
 
2.5%
글 81
 
2.4%
이 55
 
1.7%
김 54
 
1.6%
리 40
 
1.2%
수 38
 
1.1%
Other values (441) 1962
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2046
61.5%
Space Separator 718
 
21.6%
Other Punctuation 303
 
9.1%
Lowercase Letter 89
 
2.7%
Decimal Number 62
 
1.9%
Uppercase Letter 53
 
1.6%
Close Punctuation 17
 
0.5%
Open Punctuation 17
 
0.5%
Dash Punctuation 12
 
0.4%
Math Symbol 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 86
 
4.2%
림 83
 
4.1%
글 81
 
4.0%
이 55
 
2.7%
김 54
 
2.6%
리 40
 
2.0%
수 38
 
1.9%
지 38
 
1.9%
정 35
 
1.7%
도 32
 
1.6%
Other values (386) 1504
73.5%
Lowercase Letter
ValueCountFrequency (%)
e 12
13.5%
r 9
10.1%
a 7
 
7.9%
n 7
 
7.9%
i 6
 
6.7%
l 6
 
6.7%
h 6
 
6.7%
o 6
 
6.7%
d 5
 
5.6%
y 5
 
5.6%
Other values (10) 20
22.5%
Uppercase Letter
ValueCountFrequency (%)
R 8
15.1%
I 7
13.2%
S 7
13.2%
G 6
11.3%
P 6
11.3%
C 5
9.4%
W 5
9.4%
A 4
7.5%
N 1
 
1.9%
F 1
 
1.9%
Other values (3) 3
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 18
29.0%
3 13
21.0%
2 10
16.1%
8 8
12.9%
5 4
 
6.5%
7 3
 
4.8%
6 3
 
4.8%
4 2
 
3.2%
0 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
; 109
36.0%
/ 99
32.7%
: 28
 
9.2%
. 24
 
7.9%
! 21
 
6.9%
· 12
 
4.0%
? 8
 
2.6%
, 2
 
0.7%
Space Separator
ValueCountFrequency (%)
718
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
= 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2046
61.5%
Common 1137
34.2%
Latin 142
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 86
 
4.2%
림 83
 
4.1%
글 81
 
4.0%
이 55
 
2.7%
김 54
 
2.6%
리 40
 
2.0%
수 38
 
1.9%
지 38
 
1.9%
정 35
 
1.7%
도 32
 
1.6%
Other values (386) 1504
73.5%
Latin
ValueCountFrequency (%)
e 12
 
8.5%
r 9
 
6.3%
R 8
 
5.6%
I 7
 
4.9%
a 7
 
4.9%
S 7
 
4.9%
n 7
 
4.9%
i 6
 
4.2%
l 6
 
4.2%
h 6
 
4.2%
Other values (23) 67
47.2%
Common
ValueCountFrequency (%)
718
63.1%
; 109
 
9.6%
/ 99
 
8.7%
: 28
 
2.5%
. 24
 
2.1%
! 21
 
1.8%
1 18
 
1.6%
) 17
 
1.5%
( 17
 
1.5%
3 13
 
1.1%
Other values (12) 73
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2045
61.5%
ASCII 1267
38.1%
None 12
 
0.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
718
56.7%
; 109
 
8.6%
/ 99
 
7.8%
: 28
 
2.2%
. 24
 
1.9%
! 21
 
1.7%
1 18
 
1.4%
) 17
 
1.3%
( 17
 
1.3%
3 13
 
1.0%
Other values (44) 203
 
16.0%
Hangul
ValueCountFrequency (%)
그 86
 
4.2%
림 83
 
4.1%
글 81
 
4.0%
이 55
 
2.7%
김 54
 
2.6%
리 40
 
2.0%
수 38
 
1.9%
지 38
 
1.9%
정 35
 
1.7%
도 32
 
1.6%
Other values (385) 1503
73.5%
None
ValueCountFrequency (%)
· 12
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

저자
Text

Distinct83
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T06:37:16.365659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.29
Min length2

Characters and Unicode

Total characters429
Distinct characters148
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)78.0%

Sample

1st row고희정
2nd row송도수
3rd row송도수
4th row최정현
5th row김성훈
ValueCountFrequency (%)
송도수 13
 
10.2%
고희정 3
 
2.3%
최은영 2
 
1.6%
줄리아 2
 
1.6%
존 2
 
1.6%
정진 2
 
1.6%
강민경 2
 
1.6%
정재은 2
 
1.6%
나시야 1
 
0.8%
홍종의 1
 
0.8%
Other values (98) 98
76.6%
2023-12-13T06:37:16.726177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 31
 
7.2%
28
 
6.5%
수 17
 
4.0%
도 16
 
3.7%
송 13
 
3.0%
정 11
 
2.6%
스 11
 
2.6%
리 9
 
2.1%
김 9
 
2.1%
이 8
 
1.9%
Other values (138) 276
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
85.8%
Other Punctuation 32
 
7.5%
Space Separator 28
 
6.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 17
 
4.6%
도 16
 
4.3%
송 13
 
3.5%
정 11
 
3.0%
스 11
 
3.0%
리 9
 
2.4%
김 9
 
2.4%
이 8
 
2.2%
시 7
 
1.9%
고 7
 
1.9%
Other values (134) 260
70.7%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
. 1
 
3.1%
Space Separator
ValueCountFrequency (%)
28
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
85.8%
Common 60
 
14.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 17
 
4.6%
도 16
 
4.3%
송 13
 
3.5%
정 11
 
3.0%
스 11
 
3.0%
리 9
 
2.4%
김 9
 
2.4%
이 8
 
2.2%
시 7
 
1.9%
고 7
 
1.9%
Other values (134) 260
70.7%
Common
ValueCountFrequency (%)
, 31
51.7%
28
46.7%
. 1
 
1.7%
Latin
ValueCountFrequency (%)
J 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
85.8%
ASCII 61
 
14.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 31
50.8%
28
45.9%
. 1
 
1.6%
J 1
 
1.6%
Hangul
ValueCountFrequency (%)
수 17
 
4.6%
도 16
 
4.3%
송 13
 
3.5%
정 11
 
3.0%
스 11
 
3.0%
리 9
 
2.4%
김 9
 
2.4%
이 8
 
2.2%
시 7
 
1.9%
고 7
 
1.9%
Other values (134) 260
70.7%

발행자
Text

Distinct64
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T06:37:16.936956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.69
Min length2

Characters and Unicode

Total characters469
Distinct characters144
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)51.0%

Sample

1st row가나문화콘텐츠
2nd row서울문화사
3rd row서울문화사
4th row예원미디어꿈터
5th row다산북스
ValueCountFrequency (%)
서울문화사 14
 
14.0%
글송이 6
 
6.0%
좋은책신사고좋은책어린이 5
 
5.0%
시공사 4
 
4.0%
다산북스 3
 
3.0%
북이십일 3
 
3.0%
예림당 2
 
2.0%
개암나무 2
 
2.0%
좋은책어린이 2
 
2.0%
가나문화콘텐츠 2
 
2.0%
Other values (54) 57
57.0%
2023-12-13T06:37:17.266608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 33
 
7.0%
이 21
 
4.5%
문 17
 
3.6%
화 16
 
3.4%
책 16
 
3.4%
서 15
 
3.2%
울 14
 
3.0%
은 13
 
2.8%
스 13
 
2.8%
북 13
 
2.8%
Other values (134) 298
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
96.8%
Uppercase Letter 15
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 33
 
7.3%
이 21
 
4.6%
문 17
 
3.7%
화 16
 
3.5%
책 16
 
3.5%
서 15
 
3.3%
울 14
 
3.1%
은 13
 
2.9%
스 13
 
2.9%
북 13
 
2.9%
Other values (127) 283
62.3%
Uppercase Letter
ValueCountFrequency (%)
O 4
26.7%
B 3
20.0%
S 3
20.0%
K 2
13.3%
L 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
96.8%
Latin 15
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 33
 
7.3%
이 21
 
4.6%
문 17
 
3.7%
화 16
 
3.5%
책 16
 
3.5%
서 15
 
3.3%
울 14
 
3.1%
은 13
 
2.9%
스 13
 
2.9%
북 13
 
2.9%
Other values (127) 283
62.3%
Latin
ValueCountFrequency (%)
O 4
26.7%
B 3
20.0%
S 3
20.0%
K 2
13.3%
L 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
96.8%
ASCII 15
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 33
 
7.3%
이 21
 
4.6%
문 17
 
3.7%
화 16
 
3.5%
책 16
 
3.5%
서 15
 
3.3%
울 14
 
3.1%
은 13
 
2.9%
스 13
 
2.9%
북 13
 
2.9%
Other values (127) 283
62.3%
ASCII
ValueCountFrequency (%)
O 4
26.7%
B 3
20.0%
S 3
20.0%
K 2
13.3%
L 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%

청구기호
Text

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T06:37:17.582047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length19
Mean length16.68
Min length9

Characters and Unicode

Total characters1668
Distinct characters39
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

Unique84 ?
Unique (%)84.0%

Sample

1st row400 ㄱ416ㅇ v.21~26
2nd row410 ㅅ534ㅅ v.1~38
3rd row410 ㅅ534ㅅ v.1~38
4th row031 ㅈ924ㅇ v.20
5th row990 ㅅ374ㄷ v.70
ValueCountFrequency (%)
813.8 21
 
6.9%
808.9 11
 
3.6%
410 10
 
3.3%
ㅈ722ㅈ 8
 
2.6%
843 7
 
2.3%
ㅅ534ㅅ 7
 
2.3%
v.1~38 7
 
2.3%
7-8 6
 
2.0%
23-24 6
 
2.0%
26-30 6
 
2.0%
Other values (142) 215
70.7%
2023-12-13T06:37:18.089090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
14.8%
1 136
 
8.2%
4 133
 
8.0%
8 132
 
7.9%
3 126
 
7.6%
. 119
 
7.1%
2 101
 
6.1%
7 70
 
4.2%
6 65
 
3.9%
0 65
 
3.9%
Other values (29) 474
28.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 945
56.7%
Space Separator 247
 
14.8%
Other Letter 201
 
12.1%
Other Punctuation 168
 
10.1%
Lowercase Letter 57
 
3.4%
Dash Punctuation 38
 
2.3%
Math Symbol 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅅ 48
23.9%
ㄱ 28
13.9%
ㅈ 26
12.9%
ㅇ 26
12.9%
ㅎ 14
 
7.0%
ㅁ 13
 
6.5%
ㅂ 9
 
4.5%
ㄷ 6
 
3.0%
ㅊ 6
 
3.0%
ㄴ 5
 
2.5%
Other values (13) 20
10.0%
Decimal Number
ValueCountFrequency (%)
1 136
14.4%
4 133
14.1%
8 132
14.0%
3 126
13.3%
2 101
10.7%
7 70
7.4%
6 65
6.9%
0 65
6.9%
5 60
6.3%
9 57
6.0%
Other Punctuation
ValueCountFrequency (%)
. 119
70.8%
, 49
29.2%
Space Separator
ValueCountFrequency (%)
247
100.0%
Lowercase Letter
ValueCountFrequency (%)
v 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1410
84.5%
Hangul 201
 
12.1%
Latin 57
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅅ 48
23.9%
ㄱ 28
13.9%
ㅈ 26
12.9%
ㅇ 26
12.9%
ㅎ 14
 
7.0%
ㅁ 13
 
6.5%
ㅂ 9
 
4.5%
ㄷ 6
 
3.0%
ㅊ 6
 
3.0%
ㄴ 5
 
2.5%
Other values (13) 20
10.0%
Common
ValueCountFrequency (%)
247
17.5%
1 136
9.6%
4 133
9.4%
8 132
9.4%
3 126
8.9%
. 119
8.4%
2 101
7.2%
7 70
 
5.0%
6 65
 
4.6%
0 65
 
4.6%
Other values (5) 216
15.3%
Latin
ValueCountFrequency (%)
v 57
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1467
87.9%
Compat Jamo 194
 
11.6%
Hangul 7
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
16.8%
1 136
9.3%
4 133
9.1%
8 132
9.0%
3 126
8.6%
. 119
8.1%
2 101
 
6.9%
7 70
 
4.8%
6 65
 
4.4%
0 65
 
4.4%
Other values (6) 273
18.6%
Compat Jamo
ValueCountFrequency (%)
ㅅ 48
24.7%
ㄱ 28
14.4%
ㅈ 26
13.4%
ㅇ 26
13.4%
ㅎ 14
 
7.2%
ㅁ 13
 
6.7%
ㅂ 9
 
4.6%
ㄷ 6
 
3.1%
ㅊ 6
 
3.1%
ㄴ 5
 
2.6%
Other values (7) 13
 
6.7%
Hangul
ValueCountFrequency (%)
마 2
28.6%
왜 1
14.3%
하 1
14.3%
비 1
14.3%
내 1
14.3%
사 1
14.3%

대출횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.76
Minimum48
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T06:37:18.226270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile48
Q149
median50
Q352
95-th percentile55
Maximum61
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5271056
Coefficient of variation (CV)0.049785374
Kurtosis1.9830848
Mean50.76
Median Absolute Deviation (MAD)2
Skewness1.234268
Sum5076
Variance6.3862626
MonotonicityDecreasing
2023-12-13T06:37:18.329991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
49 22
22.0%
48 18
18.0%
50 17
17.0%
53 10
10.0%
52 10
10.0%
51 9
9.0%
54 7
 
7.0%
55 3
 
3.0%
61 1
 
1.0%
58 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
48 18
18.0%
49 22
22.0%
50 17
17.0%
51 9
9.0%
52 10
10.0%
53 10
10.0%
54 7
 
7.0%
55 3
 
3.0%
56 1
 
1.0%
57 1
 
1.0%
ValueCountFrequency (%)
61 1
 
1.0%
58 1
 
1.0%
57 1
 
1.0%
56 1
 
1.0%
55 3
 
3.0%
54 7
7.0%
53 10
10.0%
52 10
10.0%
51 9
9.0%
50 17
17.0%

Interactions

2023-12-13T06:37:14.103802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:13.927273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:14.184600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:14.008852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:37:18.408646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위등록번호서명저자발행자청구기호대출횟수
순위1.0001.0000.7800.6440.2380.8060.837
등록번호1.0001.0001.0001.0001.0001.0001.000
서명0.7801.0001.0001.0001.0001.0000.000
저자0.6441.0001.0001.0000.9991.0000.000
발행자0.2381.0001.0000.9991.0001.0000.000
청구기호0.8061.0001.0001.0001.0001.0000.000
대출횟수0.8371.0000.0000.0000.0000.0001.000
2023-12-13T06:37:18.500452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위대출횟수
순위1.000-0.988
대출횟수-0.9881.000

Missing values

2023-12-13T06:37:14.295254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:37:14.400103image/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
01CM058980어린이 과학 형사대 CSI :CSI 시즌3 /고희정 글 ;서용남 그림.21-26고희정가나문화콘텐츠400 ㄱ416ㅇ v.21~2661
12CM051007수학 도둑 /송도수 글 ;서정은 그림.1-38송도수서울문화사410 ㅅ534ㅅ v.1~3858
23CM048513수학 도둑 /송도수 글 ;서정은 그림.1-38송도수서울문화사410 ㅅ534ㅅ v.1~3857
34CM058885내 친구 스마트폰 /최정현 글 ;대성 그림최정현예원미디어꿈터031 ㅈ924ㅇ v.2056
45CM059080Who? 알프레드 노벨 =Alfred Nobel /김성훈 글 ;최병국 그림김성훈다산북스990 ㅅ374ㄷ v.7055
56CM059251쉿! 너만 알고있어 /박현숙 글 ;권송이 그림박현숙좋은책신사고좋은책어린이813.8 ㅈ722ㅈ v.5455
67CM071245(코믹) 메이플스토리 :오프라인 RPG /송도수 글 ;김신중 ;서정은송도수서울문화사657.1 ㅅ534ㅁ v.1-4, 7-8, 10,13, 14-21, 23-24, 26-30, 32-46, 4855
78CM057974왜 나한테만 그래? :빨간머리 마빈의 억울한 이야기 /루이스 새커 글 ;슈 헬러드 그림 ;황재연 옮김새커, 루이스,현북스843 ㅅ194왜54
89CM058027(수학유령의) 마술수학 :스토리텔링 수학 /정재은 글 ;김현민 그림정재은글송이410 ㅈ468마54
910CM058317시간을 되돌리고 싶어 /하나다 하토코 글 ;후쿠다 이와오 그림 ;이정선 옮김하나다 하토코키위북스833.8 ㅎ115ㅅ54
순위등록번호서명저자발행자청구기호대출횟수
9091CM057162도둑맞은 성적표 /사토 시로 글 ;심윤정 그림 ;고향옥 옮김사토 시로,김영사808.9 ㅎ293ㄱ v.2748
9192CM057254알 낳는 거짓말 /강민경 글 ;윤희동 그림강민경좋은책신사고좋은책어린이813.8 ㅈ722ㅈ v.3748
9293CM057456일부러 그런게 아니야! /마라 베르그만 글 ;캐시아 토마스 그림 ;안지은 옮김베르그만, 마라가치창조843 ㅂ772ㅇ48
9394CM057478우리들의 특별한 버스 /밥 그레이엄 글·그림 ;엄혜숙 옮김그레이엄, 밥시공사808.9 ㅅ374ㅅ v.22348
9495CM058085우당탕! 공룡버스 /줄리아 리우 글 ;베이 린 그림 ;강형복 옮김리우, 줄리아키즈엠808.9 ㅍ84ㅋ v.11548
9596CM058331상아의 누에고치 /조태봉 글 ;심보영 그림 ;전북대학교 부안RIS사업단 기획조태봉청개구리813.8 ㅈ694ㅅ48
9697CM058856만약 여덟 살 어린이가 대통령이 된다면 /가노 마코토 지음 ;채붕 옮김 ;김잔디 그림가노 마코토우리교육검둥소833.8 ㄱ127ㅁ48
9798CM059039아빠가 작아졌어요 /박수현 글·그림박수현키다리813.8 ㅂ342ㅇ48
9899CM059098특별한 엘로이즈 /샤를렌 추아 글 ;파울라 팡 그림 ;임은경 옮김추아, 샤를렌걸음동무843 ㅊ776ㅌ48
99100CM059383Why? 왕비 이야기 /이근 글 ;극동만화연구소 그림이근예림당911 ㅇ674ㅇ v.2248