Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory84.3 B

Variable types

Numeric2
Text5
Categorical3

Dataset

Description안동도서관 월별 최다 도서 대출 목록 공개자료입니다(서명, 저자, 청구기호, 출판사, 출판년, 소장처, 자료실, 대출횟수)
Author경상북도교육청 경상북도교육청안동도서관
URLhttps://www.data.go.kr/data/15099196/fileData.do

Alerts

소장처 has constant value ""Constant
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 started2023-12-16 15:56:29.147545
Analysis finished2023-12-16 15:56:37.574135
Duration8.43 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
2023-12-16T15:56:37.931004image/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
2023-12-16T15:56:38.783066image/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
2023-12-16T15:56:40.190899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.84
Min length8

Characters and Unicode

Total characters884
Distinct characters12
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 rowEM0370326
2nd rowEM0370976
3rd rowEM0372957
4th rowEM0335558
5th rowEM0352723
ValueCountFrequency (%)
em0370326 1
 
1.0%
em0340944 1
 
1.0%
em0353885 1
 
1.0%
em0353877 1
 
1.0%
em0353850 1
 
1.0%
em0352597 1
 
1.0%
em0351769 1
 
1.0%
em0350779 1
 
1.0%
em0349035 1
 
1.0%
em0348711 1
 
1.0%
Other values (90) 90
90.0%
2023-12-16T15:56:42.516519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 134
15.2%
0 124
14.0%
E 100
11.3%
M 100
11.3%
6 64
7.2%
2 62
7.0%
5 56
6.3%
7 54
6.1%
8 52
 
5.9%
9 48
 
5.4%
Other values (2) 90
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 684
77.4%
Uppercase Letter 200
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 134
19.6%
0 124
18.1%
6 64
9.4%
2 62
9.1%
5 56
8.2%
7 54
7.9%
8 52
 
7.6%
9 48
 
7.0%
1 47
 
6.9%
4 43
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
E 100
50.0%
M 100
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
77.4%
Latin 200
 
22.6%

Most frequent character per script

Common
ValueCountFrequency (%)
3 134
19.6%
0 124
18.1%
6 64
9.4%
2 62
9.1%
5 56
8.2%
7 54
7.9%
8 52
 
7.6%
9 48
 
7.0%
1 47
 
6.9%
4 43
 
6.3%
Latin
ValueCountFrequency (%)
E 100
50.0%
M 100
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 134
15.2%
0 124
14.0%
E 100
11.3%
M 100
11.3%
6 64
7.2%
2 62
7.0%
5 56
6.3%
7 54
6.1%
8 52
 
5.9%
9 48
 
5.4%
Other values (2) 90
10.2%

서명
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-16T15:56:43.949745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length35
Mean length22.66
Min length3

Characters and Unicode

Total characters2266
Distinct characters403
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks5 ?
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 row(프렌즈) 미국 서부 = Western U.S.A
2nd row설민석의 한국사 대모험 . 25 정도전 편
3rd rowSCP재단 스페셜 에이전트 . 2
4th row(기괴하고 요상한) 귀신딱지 . 3
5th row밍꼬발랄 공소시효 . 8
ValueCountFrequency (%)
72
 
12.1%
2 10
 
1.7%
3 9
 
1.5%
1 7
 
1.2%
4 7
 
1.2%
흔한남매 7
 
1.2%
장편소설 7
 
1.2%
흔한 7
 
1.2%
호기심 6
 
1.0%
흔한남매의 5
 
0.8%
Other values (383) 458
77.0%
2023-12-16T15:56:46.587328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
544
 
24.0%
의 50
 
2.2%
. 46
 
2.0%
한 45
 
2.0%
: 31
 
1.4%
이 31
 
1.4%
기 28
 
1.2%
( 28
 
1.2%
) 28
 
1.2%
는 27
 
1.2%
Other values (393) 1408
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1295
57.1%
Space Separator 544
24.0%
Lowercase Letter 158
 
7.0%
Other Punctuation 98
 
4.3%
Decimal Number 68
 
3.0%
Uppercase Letter 34
 
1.5%
Open Punctuation 29
 
1.3%
Close Punctuation 29
 
1.3%
Math Symbol 11
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 50
 
3.9%
한 45
 
3.5%
이 31
 
2.4%
기 28
 
2.2%
는 27
 
2.1%
지 21
 
1.6%
흔 21
 
1.6%
전 21
 
1.6%
하 16
 
1.2%
매 15
 
1.2%
Other values (334) 1020
78.8%
Lowercase Letter
ValueCountFrequency (%)
e 18
11.4%
s 15
 
9.5%
t 15
 
9.5%
r 13
 
8.2%
o 13
 
8.2%
i 12
 
7.6%
n 9
 
5.7%
l 7
 
4.4%
y 7
 
4.4%
a 7
 
4.4%
Other values (12) 42
26.6%
Uppercase Letter
ValueCountFrequency (%)
G 5
14.7%
C 4
11.8%
T 3
8.8%
B 3
8.8%
S 3
8.8%
F 3
8.8%
A 2
 
5.9%
P 2
 
5.9%
I 2
 
5.9%
M 2
 
5.9%
Other values (5) 5
14.7%
Decimal Number
ValueCountFrequency (%)
2 14
20.6%
3 12
17.6%
0 10
14.7%
1 10
14.7%
4 8
11.8%
5 5
 
7.4%
7 5
 
7.4%
6 2
 
2.9%
9 1
 
1.5%
8 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 46
46.9%
: 31
31.6%
! 8
 
8.2%
, 7
 
7.1%
· 5
 
5.1%
& 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 28
96.6%
[ 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 28
96.6%
] 1
 
3.4%
Space Separator
ValueCountFrequency (%)
544
100.0%
Math Symbol
ValueCountFrequency (%)
= 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1289
56.9%
Common 779
34.4%
Latin 192
 
8.5%
Han 5
 
0.2%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 50
 
3.9%
한 45
 
3.5%
이 31
 
2.4%
기 28
 
2.2%
는 27
 
2.1%
지 21
 
1.6%
흔 21
 
1.6%
전 21
 
1.6%
하 16
 
1.2%
매 15
 
1.2%
Other values (328) 1014
78.7%
Latin
ValueCountFrequency (%)
e 18
 
9.4%
s 15
 
7.8%
t 15
 
7.8%
r 13
 
6.8%
o 13
 
6.8%
i 12
 
6.2%
n 9
 
4.7%
l 7
 
3.6%
y 7
 
3.6%
a 7
 
3.6%
Other values (27) 76
39.6%
Common
ValueCountFrequency (%)
544
69.8%
. 46
 
5.9%
: 31
 
4.0%
( 28
 
3.6%
) 28
 
3.6%
2 14
 
1.8%
3 12
 
1.5%
= 11
 
1.4%
0 10
 
1.3%
1 10
 
1.3%
Other values (12) 45
 
5.8%
Han
ValueCountFrequency (%)
團 1
20.0%
長 1
20.0%
殺 1
20.0%
騎 1
20.0%
士 1
20.0%
Hiragana
ValueCountFrequency (%)
し 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1289
56.9%
ASCII 966
42.6%
None 5
 
0.2%
CJK 5
 
0.2%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
544
56.3%
. 46
 
4.8%
: 31
 
3.2%
( 28
 
2.9%
) 28
 
2.9%
e 18
 
1.9%
s 15
 
1.6%
t 15
 
1.6%
2 14
 
1.4%
r 13
 
1.3%
Other values (48) 214
 
22.2%
Hangul
ValueCountFrequency (%)
의 50
 
3.9%
한 45
 
3.5%
이 31
 
2.4%
기 28
 
2.2%
는 27
 
2.1%
지 21
 
1.6%
흔 21
 
1.6%
전 21
 
1.6%
하 16
 
1.2%
매 15
 
1.2%
Other values (328) 1014
78.7%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
團 1
20.0%
長 1
20.0%
殺 1
20.0%
騎 1
20.0%
士 1
20.0%
Hiragana
ValueCountFrequency (%)
し 1
100.0%

저자
Text

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-16T15:56:48.205636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length8.5
Min length3

Characters and Unicode

Total characters850
Distinct characters182
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)62.0%

Sample

1st row이주은
2nd row글: 설민석
3rd row올드스테어즈 편집부 지음
4th row라곰씨 글
5th row밍꼬발랄 원작
ValueCountFrequency (%)
지음 66
25.0%
원작 16
 
6.1%
흔한남매 14
 
5.3%
11
 
4.2%
글 10
 
3.8%
그림 4
 
1.5%
트레이시 3
 
1.1%
소상동아 3
 
1.1%
옮김 3
 
1.1%
브라이언 3
 
1.1%
Other values (115) 131
49.6%
2023-12-16T15:56:50.468959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
19.8%
지 71
 
8.4%
음 66
 
7.8%
이 24
 
2.8%
원 22
 
2.6%
작 17
 
2.0%
남 15
 
1.8%
흔 14
 
1.6%
글 14
 
1.6%
매 14
 
1.6%
Other values (172) 425
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 663
78.0%
Space Separator 168
 
19.8%
Other Punctuation 17
 
2.0%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 71
 
10.7%
음 66
 
10.0%
이 24
 
3.6%
원 22
 
3.3%
작 17
 
2.6%
남 15
 
2.3%
흔 14
 
2.1%
글 14
 
2.1%
매 14
 
2.1%
한 14
 
2.1%
Other values (165) 392
59.1%
Other Punctuation
ValueCountFrequency (%)
; 11
64.7%
· 3
 
17.6%
, 2
 
11.8%
: 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 663
78.0%
Common 185
 
21.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 71
 
10.7%
음 66
 
10.0%
이 24
 
3.6%
원 22
 
3.3%
작 17
 
2.6%
남 15
 
2.3%
흔 14
 
2.1%
글 14
 
2.1%
매 14
 
2.1%
한 14
 
2.1%
Other values (165) 392
59.1%
Common
ValueCountFrequency (%)
168
90.8%
; 11
 
5.9%
· 3
 
1.6%
, 2
 
1.1%
: 1
 
0.5%
Latin
ValueCountFrequency (%)
V 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 663
78.0%
ASCII 184
 
21.6%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
91.3%
; 11
 
6.0%
, 2
 
1.1%
V 1
 
0.5%
T 1
 
0.5%
: 1
 
0.5%
Hangul
ValueCountFrequency (%)
지 71
 
10.7%
음 66
 
10.0%
이 24
 
3.6%
원 22
 
3.3%
작 17
 
2.6%
남 15
 
2.3%
흔 14
 
2.1%
글 14
 
2.1%
매 14
 
2.1%
한 14
 
2.1%
Other values (165) 392
59.1%
None
ValueCountFrequency (%)
· 3
100.0%

청구기호
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-16T15:56:52.574274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length11.64
Min length8

Characters and Unicode

Total characters1164
Distinct characters154
Distinct categories6 ?
Distinct scripts2 ?
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 row984.202 이주은ㅁ
2nd row911 설민석ㅅ 25
3rd row187 올드스ㅇ 2
4th row813.8 라곰씨ㄱ 3
5th row813.8 밍꼬발ㅁ 8
ValueCountFrequency (%)
813.8 17
 
6.8%
2 11
 
4.4%
4 9
 
3.6%
3 9
 
3.6%
1 8
 
3.2%
흔한남ㅎ 8
 
3.2%
843 8
 
3.2%
408 6
 
2.4%
833.6 6
 
2.4%
813.7 5
 
2.0%
Other values (130) 162
65.1%
2023-12-16T15:56:55.750062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
22.3%
8 91
 
7.8%
3 82
 
7.0%
. 70
 
6.0%
1 67
 
5.8%
4 44
 
3.8%
2 38
 
3.3%
7 34
 
2.9%
0 30
 
2.6%
ㅇ 23
 
2.0%
Other values (144) 425
36.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 447
38.4%
Other Letter 384
33.0%
Space Separator 260
22.3%
Other Punctuation 71
 
6.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 23
 
6.0%
ㄱ 16
 
4.2%
흔 14
 
3.6%
한 14
 
3.6%
남 14
 
3.6%
이 14
 
3.6%
ㅎ 12
 
3.1%
ㅁ 10
 
2.6%
정 9
 
2.3%
김 7
 
1.8%
Other values (129) 251
65.4%
Decimal Number
ValueCountFrequency (%)
8 91
20.4%
3 82
18.3%
1 67
15.0%
4 44
9.8%
2 38
8.5%
7 34
 
7.6%
0 30
 
6.7%
9 22
 
4.9%
5 20
 
4.5%
6 19
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 70
98.6%
, 1
 
1.4%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
67.0%
Hangul 384
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 23
 
6.0%
ㄱ 16
 
4.2%
흔 14
 
3.6%
한 14
 
3.6%
남 14
 
3.6%
이 14
 
3.6%
ㅎ 12
 
3.1%
ㅁ 10
 
2.6%
정 9
 
2.3%
김 7
 
1.8%
Other values (129) 251
65.4%
Common
ValueCountFrequency (%)
260
33.3%
8 91
 
11.7%
3 82
 
10.5%
. 70
 
9.0%
1 67
 
8.6%
4 44
 
5.6%
2 38
 
4.9%
7 34
 
4.4%
0 30
 
3.8%
9 22
 
2.8%
Other values (5) 42
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
67.0%
Hangul 286
 
24.6%
Compat Jamo 98
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
33.3%
8 91
 
11.7%
3 82
 
10.5%
. 70
 
9.0%
1 67
 
8.6%
4 44
 
5.6%
2 38
 
4.9%
7 34
 
4.4%
0 30
 
3.8%
9 22
 
2.8%
Other values (5) 42
 
5.4%
Compat Jamo
ValueCountFrequency (%)
ㅇ 23
23.5%
ㄱ 16
16.3%
ㅎ 12
12.2%
ㅁ 10
10.2%
ㅂ 6
 
6.1%
ㅅ 6
 
6.1%
ㅈ 5
 
5.1%
ㄴ 5
 
5.1%
ㅌ 4
 
4.1%
ㄷ 3
 
3.1%
Other values (4) 8
 
8.2%
Hangul
ValueCountFrequency (%)
흔 14
 
4.9%
한 14
 
4.9%
남 14
 
4.9%
이 14
 
4.9%
정 9
 
3.1%
김 7
 
2.4%
원 5
 
1.7%
조 5
 
1.7%
현 5
 
1.7%
주 4
 
1.4%
Other values (115) 195
68.2%

출판사
Text

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-16T15:56:57.999490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.52
Min length2

Characters and Unicode

Total characters552
Distinct characters161
Distinct categories8 ?
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 row중앙books
2nd rowDankkumi(단꿈아이)
3rd rowOld Stairs
4th row라이카미
5th row겜툰
ValueCountFrequency (%)
아이세움 9
 
7.9%
미래엔아이세움 6
 
5.3%
북로드 3
 
2.6%
mirae 3
 
2.6%
n 3
 
2.6%
파란 3
 
2.6%
다산어린이 3
 
2.6%
토마토출판사 2
 
1.8%
와이즈만books 2
 
1.8%
book 2
 
1.8%
Other values (67) 78
68.4%
2023-12-16T15:57:00.129939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 36
 
6.5%
아 21
 
3.8%
세 17
 
3.1%
움 17
 
3.1%
14
 
2.5%
a 14
 
2.5%
스 13
 
2.4%
북 13
 
2.4%
사 12
 
2.2%
미 11
 
2.0%
Other values (151) 384
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
75.5%
Lowercase Letter 85
 
15.4%
Uppercase Letter 26
 
4.7%
Space Separator 14
 
2.5%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
 
8.6%
아 21
 
5.0%
세 17
 
4.1%
움 17
 
4.1%
스 13
 
3.1%
북 13
 
3.1%
사 12
 
2.9%
미 11
 
2.6%
토 9
 
2.2%
엔 8
 
1.9%
Other values (120) 260
62.4%
Lowercase Letter
ValueCountFrequency (%)
a 14
16.5%
o 10
11.8%
i 9
10.6%
r 8
9.4%
k 7
8.2%
s 7
8.2%
e 7
8.2%
d 4
 
4.7%
l 4
 
4.7%
b 3
 
3.5%
Other values (8) 12
14.1%
Uppercase Letter
ValueCountFrequency (%)
M 5
19.2%
N 5
19.2%
O 4
15.4%
B 4
15.4%
P 3
11.5%
S 3
11.5%
K 1
 
3.8%
D 1
 
3.8%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
75.5%
Latin 111
 
20.1%
Common 24
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
 
8.6%
아 21
 
5.0%
세 17
 
4.1%
움 17
 
4.1%
스 13
 
3.1%
북 13
 
3.1%
사 12
 
2.9%
미 11
 
2.6%
토 9
 
2.2%
엔 8
 
1.9%
Other values (120) 260
62.4%
Latin
ValueCountFrequency (%)
a 14
 
12.6%
o 10
 
9.0%
i 9
 
8.1%
r 8
 
7.2%
k 7
 
6.3%
s 7
 
6.3%
e 7
 
6.3%
M 5
 
4.5%
N 5
 
4.5%
d 4
 
3.6%
Other values (16) 35
31.5%
Common
ValueCountFrequency (%)
14
58.3%
) 4
 
16.7%
( 4
 
16.7%
· 1
 
4.2%
2 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
75.5%
ASCII 134
 
24.3%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 36
 
8.6%
아 21
 
5.0%
세 17
 
4.1%
움 17
 
4.1%
스 13
 
3.1%
북 13
 
3.1%
사 12
 
2.9%
미 11
 
2.6%
토 9
 
2.2%
엔 8
 
1.9%
Other values (120) 260
62.4%
ASCII
ValueCountFrequency (%)
14
 
10.4%
a 14
 
10.4%
o 10
 
7.5%
i 9
 
6.7%
r 8
 
6.0%
k 7
 
5.2%
s 7
 
5.2%
e 7
 
5.2%
M 5
 
3.7%
N 5
 
3.7%
Other values (20) 48
35.8%
None
ValueCountFrequency (%)
· 1
100.0%

출판년
Real number (ℝ)

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.79
Minimum2010
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-16T15:57:00.952293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2013.9
Q12018
median2021
Q32022
95-th percentile2023
Maximum2023
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3129528
Coefficient of variation (CV)0.0016402462
Kurtosis0.87338106
Mean2019.79
Median Absolute Deviation (MAD)1
Skewness-1.2623988
Sum201979
Variance10.975657
MonotonicityNot monotonic
2023-12-16T15:57:01.768047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 30
30.0%
2023 16
16.0%
2021 11
 
11.0%
2020 10
 
10.0%
2018 8
 
8.0%
2016 5
 
5.0%
2014 5
 
5.0%
2017 5
 
5.0%
2019 3
 
3.0%
2010 2
 
2.0%
Other values (3) 5
 
5.0%
ValueCountFrequency (%)
2010 2
 
2.0%
2011 2
 
2.0%
2012 1
 
1.0%
2014 5
5.0%
2015 2
 
2.0%
2016 5
5.0%
2017 5
5.0%
2018 8
8.0%
2019 3
 
3.0%
2020 10
10.0%
ValueCountFrequency (%)
2023 16
16.0%
2022 30
30.0%
2021 11
 
11.0%
2020 10
 
10.0%
2019 3
 
3.0%
2018 8
 
8.0%
2017 5
 
5.0%
2016 5
 
5.0%
2015 2
 
2.0%
2014 5
 
5.0%

소장처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
안동도서관
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안동도서관
2nd row안동도서관
3rd row안동도서관
4th row안동도서관
5th row안동도서관

Common Values

ValueCountFrequency (%)
안동도서관 100
100.0%

Length

2023-12-16T15:57:02.580618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:57:03.223901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안동도서관 100
100.0%

자료실
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
일반자료실
53 
어린이자료실
47 

Length

Max length6
Median length5
Mean length5.47
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반자료실
2nd row어린이자료실
3rd row어린이자료실
4th row어린이자료실
5th row어린이자료실

Common Values

ValueCountFrequency (%)
일반자료실 53
53.0%
어린이자료실 47
47.0%

Length

2023-12-16T15:57:04.006435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:57:04.901453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반자료실 53
53.0%
어린이자료실 47
47.0%

대출횟수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3
70 
4
27 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 70
70.0%
4 27
 
27.0%
5 3
 
3.0%

Length

2023-12-16T15:57:05.352327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:57:05.756095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 70
70.0%
4 27
 
27.0%
5 3
 
3.0%

Interactions

2023-12-16T15:56:34.769790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:56:33.893728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:56:35.129762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:56:34.323333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:57:06.141757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위등록번호서명저자청구기호출판사출판년자료실대출횟수
순위1.0001.0000.9840.9130.9840.7900.8000.4550.843
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
서명0.9841.0001.0001.0001.0001.0001.0001.0000.000
저자0.9131.0001.0001.0001.0000.9970.9521.0000.807
청구기호0.9841.0001.0001.0001.0001.0001.0001.0000.000
출판사0.7901.0001.0000.9971.0001.0000.9310.9800.715
출판년0.8001.0001.0000.9521.0000.9311.0000.2760.274
자료실0.4551.0001.0001.0001.0000.9800.2761.0000.098
대출횟수0.8431.0000.0000.8070.0000.7150.2740.0981.000
2023-12-16T15:57:06.798521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실대출횟수
자료실1.0000.162
대출횟수0.1621.000
2023-12-16T15:57:07.318465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위출판년자료실대출횟수
순위1.0000.0120.3340.729
출판년0.0121.0000.2770.138
자료실0.3340.2771.0000.162
대출횟수0.7290.1380.1621.000

Missing values

2023-12-16T15:56:35.911142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:56:37.272651image/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

순위등록번호서명저자청구기호출판사출판년소장처자료실대출횟수
01EM0370326(프렌즈) 미국 서부 = Western U.S.A이주은984.202 이주은ㅁ중앙books2023안동도서관일반자료실5
12EM0370976설민석의 한국사 대모험 . 25 정도전 편글: 설민석911 설민석ㅅ 25Dankkumi(단꿈아이)2023안동도서관어린이자료실5
23EM0372957SCP재단 스페셜 에이전트 . 2올드스테어즈 편집부 지음187 올드스ㅇ 2Old Stairs2022안동도서관어린이자료실5
34EM0335558(기괴하고 요상한) 귀신딱지 . 3라곰씨 글813.8 라곰씨ㄱ 3라이카미2020안동도서관어린이자료실4
45EM0352723밍꼬발랄 공소시효 . 8밍꼬발랄 원작813.8 밍꼬발ㅁ 8겜툰2021안동도서관어린이자료실4
56EM0353887(처음 읽는) 그리스 로마 신화 = First Greek mythology . 3 인간최설희 지음219.2 최설희ㄱ 3아이세움2021안동도서관어린이자료실4
67EM0355466흔한남매 오해요흔한남매 지음813.8 흔한남ㅎMiraeN·아이세움2022안동도서관어린이자료실4
78EM0358704죽어 마땅한 자 : 마이클 코리타 장편소설마이클 코리타 지음843 코리타ㅈ황금시간2022안동도서관일반자료실4
89EM0358779(흔한남매의) 흔한 호기심 . 6흔한남매 지음408 흔한남ㅎ 6미래엔아이세움2022안동도서관어린이자료실4
910EM0363559(흔한남매) 이상한 나라의 고전 읽기 . 2 전우치전·콩쥐팥쥐전·금흔한남매 원작813.8 흔한남ㅇ 2미래엔아이세움2022안동도서관어린이자료실4
순위등록번호서명저자청구기호출판사출판년소장처자료실대출횟수
9091EM0361686재택의 주인 : 진짜 후계자를 찾아라잠뜰TV 원작813.8 잠뜰ㅈ서울문화사2022안동도서관어린이자료실3
9192EM0362552(흔한남매의) 흔한 호기심 . 7흔한남매 지음408 흔한남ㅎ 7미래엔아이세움2022안동도서관어린이자료실3
9293EM0362553(흔한남매의) 흔한 호기심 . 7흔한남매 지음408 흔한남ㅎ 7미래엔아이세움2022안동도서관어린이자료실3
9394EM0362746불편한 편의점 . 2김호연 지음813.7 김호연ㅂ 2나무옆의자2022안동도서관일반자료실3
9495EM0363249화려한 혈통시드니 셀던 지음843 셀던ㅎ오늘2022안동도서관일반자료실3
9596EM0363437(현지에서 찐으로 통하는) 일본어 회화일본어교재연구원 지음737.5 일본어ㅇ예가2022안동도서관일반자료실3
9697EM0363586기소영의 친구들 : 정은주 창작동화정은주 지음813.8 정은주ㄱ사계절(사계절출판사)2022안동도서관어린이자료실3
9798EM03637582030 부의 지도 = 30 map of wealth : 야, 너두 부자될 수 있어우종국 지음327.04 우종국ㅇ북카라반2022안동도서관일반자료실3
9899EM0364664(밥 프록터의)위대한 확언 : 수천만 명의 잠재의식을 변화시킨 67가밥 프록터 지음199.1 프록터ㅇPage22022안동도서관일반자료실3
99100EM0364759(나의 성격을 이해하고 더 멋진 내가 되는) 우리들의 MBTI . 3 가족조수연 글182.12 조수연ㅇ 3다산어린이2022안동도서관어린이자료실3