Overview

Dataset statistics

Number of variables10
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory85.6 B

Variable types

Numeric2
Text5
Categorical3

Dataset

Description경상북도교육청 영주선비도서관의 자료실별(종합자료실, 어린이자료실, 유아자료실) 월별최다대출도서의 도서정보(서명, 저자, 청구기호, 출판사, 발행년도, 자료실, 대출횟수 등)를 제공합니다.
Author경상북도교육청 경상북도교육청영주선비도서관
URLhttps://www.data.go.kr/data/15042820/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 started2024-03-23 07:05:39.445889
Analysis finished2024-03-23 07:05:44.979646
Duration5.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-23T07:05:45.232707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-03-23T07:05:45.756546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

등록번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-23T07:05:46.586394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.96
Min length7

Characters and Unicode

Total characters448
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowEM0210975
2nd rowEM0185382
3rd rowEM0187594
4th rowEM0200607
5th rowEM0208831
ValueCountFrequency (%)
em0210975 1
 
2.0%
em0195992 1
 
2.0%
em0210650 1
 
2.0%
em0185222 1
 
2.0%
em0185979 1
 
2.0%
em0187586 1
 
2.0%
em0187593 1
 
2.0%
em0187794 1
 
2.0%
em0190303 1
 
2.0%
em0190457 1
 
2.0%
Other values (40) 40
80.0%
2024-03-23T07:05:47.960920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
20.3%
1 52
11.6%
E 50
11.2%
M 50
11.2%
2 37
8.3%
9 33
 
7.4%
8 32
 
7.1%
7 28
 
6.2%
5 26
 
5.8%
6 22
 
4.9%
Other values (2) 27
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
77.7%
Uppercase Letter 100
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
26.1%
1 52
14.9%
2 37
10.6%
9 33
 
9.5%
8 32
 
9.2%
7 28
 
8.0%
5 26
 
7.5%
6 22
 
6.3%
4 15
 
4.3%
3 12
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
E 50
50.0%
M 50
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
77.7%
Latin 100
 
22.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
26.1%
1 52
14.9%
2 37
10.6%
9 33
 
9.5%
8 32
 
9.2%
7 28
 
8.0%
5 26
 
7.5%
6 22
 
6.3%
4 15
 
4.3%
3 12
 
3.4%
Latin
ValueCountFrequency (%)
E 50
50.0%
M 50
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
20.3%
1 52
11.6%
E 50
11.2%
M 50
11.2%
2 37
8.3%
9 33
 
7.4%
8 32
 
7.1%
7 28
 
6.2%
5 26
 
5.8%
6 22
 
4.9%
Other values (2) 27
 
6.0%

서명
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-23T07:05:49.185879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28.5
Mean length19.22
Min length5

Characters and Unicode

Total characters961
Distinct characters270
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

Unique44 ?
Unique (%)88.0%

Sample

1st row읽을, 거리 : 김민정의 1월
2nd row급식왕 GO . 3
3rd row(흔한남매) 별난 방탈출 . 3
4th row(어쩔뚱땡!)고구마머리 TV . 4 지구탐험 1
5th row쿠키런 어드벤처 : 쿠키들의 세계 역사 탐험 . 58 죽음보다 깊은 잠
ValueCountFrequency (%)
43
 
15.6%
흔한남매 13
 
4.7%
1 6
 
2.2%
5 4
 
1.5%
2 4
 
1.5%
쿠키런 4
 
1.5%
4 4
 
1.5%
go 4
 
1.5%
급식왕 4
 
1.5%
3 4
 
1.5%
Other values (165) 185
67.3%
2024-03-23T07:05:50.785797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
25.1%
. 35
 
3.6%
한 24
 
2.5%
1 18
 
1.9%
흔 17
 
1.8%
남 15
 
1.6%
매 15
 
1.6%
( 15
 
1.6%
) 15
 
1.6%
이 12
 
1.2%
Other values (260) 554
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
56.6%
Space Separator 241
25.1%
Decimal Number 59
 
6.1%
Other Punctuation 56
 
5.8%
Open Punctuation 15
 
1.6%
Close Punctuation 15
 
1.6%
Lowercase Letter 15
 
1.6%
Uppercase Letter 14
 
1.5%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 24
 
4.4%
흔 17
 
3.1%
남 15
 
2.8%
매 15
 
2.8%
이 12
 
2.2%
의 11
 
2.0%
대 8
 
1.5%
쿠 7
 
1.3%
키 7
 
1.3%
기 6
 
1.1%
Other values (219) 422
77.6%
Lowercase Letter
ValueCountFrequency (%)
s 2
13.3%
e 2
13.3%
t 2
13.3%
v 1
6.7%
r 1
6.7%
o 1
6.7%
a 1
6.7%
m 1
6.7%
i 1
6.7%
n 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
1 18
30.5%
0 8
13.6%
4 6
 
10.2%
5 6
 
10.2%
2 6
 
10.2%
3 5
 
8.5%
7 5
 
8.5%
8 3
 
5.1%
6 2
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
O 4
28.6%
G 4
28.6%
M 1
 
7.1%
I 1
 
7.1%
A 1
 
7.1%
T 1
 
7.1%
V 1
 
7.1%
D 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 35
62.5%
: 10
 
17.9%
! 4
 
7.1%
, 3
 
5.4%
' 2
 
3.6%
· 1
 
1.8%
% 1
 
1.8%
Space Separator
ValueCountFrequency (%)
241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
56.4%
Common 388
40.4%
Latin 29
 
3.0%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 24
 
4.4%
흔 17
 
3.1%
남 15
 
2.8%
매 15
 
2.8%
이 12
 
2.2%
의 11
 
2.0%
대 8
 
1.5%
쿠 7
 
1.3%
키 7
 
1.3%
기 6
 
1.1%
Other values (217) 420
77.5%
Common
ValueCountFrequency (%)
241
62.1%
. 35
 
9.0%
1 18
 
4.6%
( 15
 
3.9%
) 15
 
3.9%
: 10
 
2.6%
0 8
 
2.1%
4 6
 
1.5%
5 6
 
1.5%
2 6
 
1.5%
Other values (11) 28
 
7.2%
Latin
ValueCountFrequency (%)
O 4
 
13.8%
G 4
 
13.8%
s 2
 
6.9%
e 2
 
6.9%
t 2
 
6.9%
M 1
 
3.4%
I 1
 
3.4%
v 1
 
3.4%
A 1
 
3.4%
r 1
 
3.4%
Other values (10) 10
34.5%
Han
ValueCountFrequency (%)
災 1
50.0%
難 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
56.4%
ASCII 416
43.3%
CJK 2
 
0.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
57.9%
. 35
 
8.4%
1 18
 
4.3%
( 15
 
3.6%
) 15
 
3.6%
: 10
 
2.4%
0 8
 
1.9%
4 6
 
1.4%
5 6
 
1.4%
2 6
 
1.4%
Other values (30) 56
 
13.5%
Hangul
ValueCountFrequency (%)
한 24
 
4.4%
흔 17
 
3.1%
남 15
 
2.8%
매 15
 
2.8%
이 12
 
2.2%
의 11
 
2.0%
대 8
 
1.5%
쿠 7
 
1.3%
키 7
 
1.3%
기 6
 
1.1%
Other values (217) 420
77.5%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
災 1
50.0%
難 1
50.0%

저자
Text

Distinct30
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-23T07:05:51.335775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.98
Min length5

Characters and Unicode

Total characters349
Distinct characters92
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

Unique25 ?
Unique (%)50.0%

Sample

1st row김민정 지음
2nd row급식왕 원작
3rd row흔한남매 원작
4th row서동건 글
5th row글: 송도수
ValueCountFrequency (%)
원작 21
19.8%
흔한남매 15
14.2%
글 14
13.2%
지음 10
 
9.4%
급식왕 4
 
3.8%
김강현 2
 
1.9%
스토리랩 2
 
1.9%
김혜련 2
 
1.9%
co 1
 
0.9%
아키오 1
 
0.9%
Other values (34) 34
32.1%
2024-03-23T07:05:52.492504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
16.0%
원 24
 
6.9%
작 23
 
6.6%
글 17
 
4.9%
한 16
 
4.6%
흔 15
 
4.3%
남 15
 
4.3%
매 15
 
4.3%
지 12
 
3.4%
음 11
 
3.2%
Other values (82) 145
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
78.8%
Space Separator 56
 
16.0%
Other Punctuation 9
 
2.6%
Uppercase Letter 4
 
1.1%
Lowercase Letter 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
8.7%
작 23
 
8.4%
글 17
 
6.2%
한 16
 
5.8%
흔 15
 
5.5%
남 15
 
5.5%
매 15
 
5.5%
지 12
 
4.4%
음 11
 
4.0%
김 7
 
2.5%
Other values (68) 120
43.6%
Other Punctuation
ValueCountFrequency (%)
· 4
44.4%
: 3
33.3%
. 1
 
11.1%
; 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
A 1
25.0%
M 1
25.0%
G 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Math Symbol
ValueCountFrequency (%)
｜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
78.8%
Common 68
 
19.5%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
8.7%
작 23
 
8.4%
글 17
 
6.2%
한 16
 
5.8%
흔 15
 
5.5%
남 15
 
5.5%
매 15
 
5.5%
지 12
 
4.4%
음 11
 
4.0%
김 7
 
2.5%
Other values (68) 120
43.6%
Common
ValueCountFrequency (%)
56
82.4%
· 4
 
5.9%
: 3
 
4.4%
. 1
 
1.5%
; 1
 
1.5%
[ 1
 
1.5%
] 1
 
1.5%
｜ 1
 
1.5%
Latin
ValueCountFrequency (%)
c 1
16.7%
o 1
16.7%
S 1
16.7%
A 1
16.7%
M 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
78.8%
ASCII 69
 
19.8%
None 5
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
81.2%
: 3
 
4.3%
c 1
 
1.4%
o 1
 
1.4%
. 1
 
1.4%
; 1
 
1.4%
[ 1
 
1.4%
] 1
 
1.4%
S 1
 
1.4%
A 1
 
1.4%
Other values (2) 2
 
2.9%
Hangul
ValueCountFrequency (%)
원 24
 
8.7%
작 23
 
8.4%
글 17
 
6.2%
한 16
 
5.8%
흔 15
 
5.5%
남 15
 
5.5%
매 15
 
5.5%
지 12
 
4.4%
음 11
 
4.0%
김 7
 
2.5%
Other values (68) 120
43.6%
None
ValueCountFrequency (%)
· 4
80.0%
｜ 1
 
20.0%

청구기호
Text

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-23T07:05:53.151681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.1
Min length8

Characters and Unicode

Total characters605
Distinct characters49
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)76.0%

Sample

1st row818 김39ㅇ
2nd row813.6 급59ㄱ 3
3rd row813.8 흔91ㅂ 3
4th row408 서225ㄱ
5th row980.24 송225ㅋ 58
ValueCountFrequency (%)
813.8 18
 
15.1%
흔91ㅎ 7
 
5.9%
1 5
 
4.2%
813.6 4
 
3.4%
급59ㄱ 4
 
3.4%
3 4
 
3.4%
813.7 3
 
2.5%
흔91흐 2
 
1.7%
2 2
 
1.7%
810 2
 
1.7%
Other values (61) 68
57.1%
2024-03-23T07:05:54.247694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
22.3%
1 70
11.6%
8 67
11.1%
3 44
 
7.3%
. 39
 
6.4%
9 38
 
6.3%
5 26
 
4.3%
2 25
 
4.1%
6 20
 
3.3%
7 16
 
2.6%
Other values (39) 125
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 333
55.0%
Space Separator 135
22.3%
Other Letter 98
 
16.2%
Other Punctuation 39
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흔 13
 
13.3%
ㅎ 7
 
7.1%
ㅂ 6
 
6.1%
ㄱ 6
 
6.1%
김 6
 
6.1%
ㅇ 5
 
5.1%
ㅋ 4
 
4.1%
급 4
 
4.1%
박 4
 
4.1%
ㅁ 4
 
4.1%
Other values (27) 39
39.8%
Decimal Number
ValueCountFrequency (%)
1 70
21.0%
8 67
20.1%
3 44
13.2%
9 38
11.4%
5 26
 
7.8%
2 25
 
7.5%
6 20
 
6.0%
7 16
 
4.8%
4 15
 
4.5%
0 12
 
3.6%
Space Separator
ValueCountFrequency (%)
135
100.0%
Other Punctuation
ValueCountFrequency (%)
. 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 507
83.8%
Hangul 98
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흔 13
 
13.3%
ㅎ 7
 
7.1%
ㅂ 6
 
6.1%
ㄱ 6
 
6.1%
김 6
 
6.1%
ㅇ 5
 
5.1%
ㅋ 4
 
4.1%
급 4
 
4.1%
박 4
 
4.1%
ㅁ 4
 
4.1%
Other values (27) 39
39.8%
Common
ValueCountFrequency (%)
135
26.6%
1 70
13.8%
8 67
13.2%
3 44
 
8.7%
. 39
 
7.7%
9 38
 
7.5%
5 26
 
5.1%
2 25
 
4.9%
6 20
 
3.9%
7 16
 
3.2%
Other values (2) 27
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
83.8%
Hangul 53
 
8.8%
Compat Jamo 45
 
7.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
26.6%
1 70
13.8%
8 67
13.2%
3 44
 
8.7%
. 39
 
7.7%
9 38
 
7.5%
5 26
 
5.1%
2 25
 
4.9%
6 20
 
3.9%
7 16
 
3.2%
Other values (2) 27
 
5.3%
Hangul
ValueCountFrequency (%)
흔 13
24.5%
김 6
11.3%
급 4
 
7.5%
박 4
 
7.5%
한 3
 
5.7%
스 2
 
3.8%
흐 2
 
3.8%
하 2
 
3.8%
에 2
 
3.8%
서 2
 
3.8%
Other values (13) 13
24.5%
Compat Jamo
ValueCountFrequency (%)
ㅎ 7
15.6%
ㅂ 6
13.3%
ㄱ 6
13.3%
ㅇ 5
11.1%
ㅋ 4
8.9%
ㅁ 4
8.9%
ㅅ 4
8.9%
ㄷ 2
 
4.4%
ㄴ 2
 
4.4%
ㅍ 1
 
2.2%
Other values (4) 4
8.9%

출판사
Text

Distinct26
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-23T07:05:54.856477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length10
Mean length5.08
Min length2

Characters and Unicode

Total characters254
Distinct characters88
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)36.0%

Sample

1st row난다
2nd row아울북
3rd row미래엔
4th row아울북
5th row서울문화사
ValueCountFrequency (%)
미래엔 8
 
14.8%
아울북 7
 
13.0%
서울문화사 4
 
7.4%
미래엔아이세움 4
 
7.4%
주니어rhk 3
 
5.6%
다산어린이 2
 
3.7%
겜툰 2
 
3.7%
아이세움 2
 
3.7%
sandbox 1
 
1.9%
휴머니스트 1
 
1.9%
Other values (20) 20
37.0%
2024-03-23T07:05:56.071564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 15
 
5.9%
아 14
 
5.5%
엔 13
 
5.1%
이 12
 
4.7%
래 12
 
4.7%
울 11
 
4.3%
어 11
 
4.3%
북 9
 
3.5%
사 7
 
2.8%
움 6
 
2.4%
Other values (78) 144
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
78.7%
Lowercase Letter 31
 
12.2%
Uppercase Letter 14
 
5.5%
Space Separator 4
 
1.6%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 15
 
7.5%
아 14
 
7.0%
엔 13
 
6.5%
이 12
 
6.0%
래 12
 
6.0%
울 11
 
5.5%
어 11
 
5.5%
북 9
 
4.5%
사 7
 
3.5%
움 6
 
3.0%
Other values (49) 90
45.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
16.1%
a 4
12.9%
d 3
9.7%
k 2
 
6.5%
s 2
 
6.5%
i 2
 
6.5%
e 2
 
6.5%
t 2
 
6.5%
l 1
 
3.2%
z 1
 
3.2%
Other values (7) 7
22.6%
Uppercase Letter
ValueCountFrequency (%)
H 3
21.4%
K 3
21.4%
R 3
21.4%
S 1
 
7.1%
P 1
 
7.1%
B 1
 
7.1%
A 1
 
7.1%
M 1
 
7.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
78.7%
Latin 45
 
17.7%
Common 9
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 15
 
7.5%
아 14
 
7.0%
엔 13
 
6.5%
이 12
 
6.0%
래 12
 
6.0%
울 11
 
5.5%
어 11
 
5.5%
북 9
 
4.5%
사 7
 
3.5%
움 6
 
3.0%
Other values (49) 90
45.0%
Latin
ValueCountFrequency (%)
o 5
 
11.1%
a 4
 
8.9%
d 3
 
6.7%
H 3
 
6.7%
K 3
 
6.7%
R 3
 
6.7%
k 2
 
4.4%
s 2
 
4.4%
i 2
 
4.4%
e 2
 
4.4%
Other values (15) 16
35.6%
Common
ValueCountFrequency (%)
4
44.4%
) 2
22.2%
( 2
22.2%
. 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
78.7%
ASCII 54
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 15
 
7.5%
아 14
 
7.0%
엔 13
 
6.5%
이 12
 
6.0%
래 12
 
6.0%
울 11
 
5.5%
어 11
 
5.5%
북 9
 
4.5%
사 7
 
3.5%
움 6
 
3.0%
Other values (49) 90
45.0%
ASCII
ValueCountFrequency (%)
o 5
 
9.3%
a 4
 
7.4%
4
 
7.4%
d 3
 
5.6%
H 3
 
5.6%
K 3
 
5.6%
R 3
 
5.6%
k 2
 
3.7%
s 2
 
3.7%
) 2
 
3.7%
Other values (19) 23
42.6%

출판년
Real number (ℝ)

Distinct9
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.74
Minimum2002
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-23T07:05:56.490506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2017.9
Q12020
median2021
Q32022
95-th percentile2023
Maximum2024
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.3673704
Coefficient of variation (CV)0.0016664046
Kurtosis20.66498
Mean2020.74
Median Absolute Deviation (MAD)1
Skewness-4.1181315
Sum101037
Variance11.339184
MonotonicityNot monotonic
2024-03-23T07:05:56.990496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2021 15
30.0%
2023 11
22.0%
2022 9
18.0%
2020 8
16.0%
2019 3
 
6.0%
2024 1
 
2.0%
2002 1
 
2.0%
2017 1
 
2.0%
2011 1
 
2.0%
ValueCountFrequency (%)
2002 1
 
2.0%
2011 1
 
2.0%
2017 1
 
2.0%
2019 3
 
6.0%
2020 8
16.0%
2021 15
30.0%
2022 9
18.0%
2023 11
22.0%
2024 1
 
2.0%
ValueCountFrequency (%)
2024 1
 
2.0%
2023 11
22.0%
2022 9
18.0%
2021 15
30.0%
2020 8
16.0%
2019 3
 
6.0%
2017 1
 
2.0%
2011 1
 
2.0%
2002 1
 
2.0%

소장처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영주선비도서관
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영주선비도서관 50
100.0%

Length

2024-03-23T07:05:57.575737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:05:58.073272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영주선비도서관 50
100.0%

자료실
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
만화 코너
34 
종합자료실
11 
청소년권장도서코너
 
2
어린이자료실
 
2
유아자료실
 
1

Length

Max length9
Median length5
Mean length5.2
Min length5

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row종합자료실
2nd row만화 코너
3rd row만화 코너
4th row만화 코너
5th row만화 코너

Common Values

ValueCountFrequency (%)
만화 코너 34
68.0%
종합자료실 11
 
22.0%
청소년권장도서코너 2
 
4.0%
어린이자료실 2
 
4.0%
유아자료실 1
 
2.0%

Length

2024-03-23T07:05:58.459621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:05:58.879602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만화 34
40.5%
코너 34
40.5%
종합자료실 11
 
13.1%
청소년권장도서코너 2
 
2.4%
어린이자료실 2
 
2.4%
유아자료실 1
 
1.2%

대출횟수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
4
41 
5
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 41
82.0%
5 9
 
18.0%

Length

2024-03-23T07:05:59.296388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:05:59.704646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 41
82.0%
5 9
 
18.0%

Interactions

2024-03-23T07:05:42.606768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:05:41.402620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:05:42.949913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:05:42.130250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:05:59.908718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위등록번호서명저자청구기호출판사출판년자료실대출횟수
순위1.0001.0000.9800.6570.8440.6200.6280.7710.994
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
서명0.9801.0001.0001.0001.0001.0001.0001.0000.468
저자0.6571.0001.0001.0001.0000.9890.9331.0000.557
청구기호0.8441.0001.0001.0001.0000.9980.9791.0000.000
출판사0.6201.0001.0000.9890.9981.0000.9470.9790.000
출판년0.6281.0001.0000.9330.9790.9471.0000.6370.000
자료실0.7711.0001.0001.0001.0000.9790.6371.0000.178
대출횟수0.9941.0000.4680.5570.0000.0000.0000.1781.000
2024-03-23T07:06:00.400329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실대출횟수
자료실1.0000.207
대출횟수0.2071.000
2024-03-23T07:06:00.754550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위출판년자료실대출횟수
순위1.0000.1760.3990.850
출판년0.1761.0000.2770.000
자료실0.3990.2771.0000.207
대출횟수0.8500.0000.2071.000

Missing values

2024-03-23T07:05:43.791140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:05:44.696988image/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
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순위등록번호서명저자청구기호출판사출판년소장처자료실대출횟수
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4849EM0210650흔한남매 . 15흔한남매 원작813.8 흔91ㅎ 15미래엔2023영주선비도서관만화 코너4
4950EM0210834열 살, 논어를 만나다한영희 지음148 한64ㅇ어린이나무생각2020영주선비도서관어린이자료실4