Overview

Dataset statistics

Number of variables8
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory67.7 B

Variable types

Numeric3
Text4
Categorical1

Dataset

Description국채보상운동기념도서관(구.대구광역시립중앙도서관)에서 최근 구입한 인기대출 도서에 대한 등록번호, 도서명, 저자, 발행자, 청구기호, 자료실 등의 상세 내역 등 제반사항을 포함
Author대구광역시교육청 국채보상운동기념도서관
URLhttps://www.data.go.kr/data/15005098/fileData.do

Alerts

순위 is highly overall correlated with 등록번호 and 1 other fieldsHigh correlation
등록번호 is highly overall correlated with 순위 and 1 other fieldsHigh correlation
대출횟수 is highly overall correlated with 순위 and 1 other fieldsHigh correlation
자료실 is highly imbalanced (56.0%)Imbalance
순위 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-16 06:40:35.177700
Analysis finished2024-03-16 06:40:40.526473
Duration5.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-16T06:40:40.766716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.95
Q150.75
median100.5
Q3150.25
95-th percentile190.05
Maximum200
Range199
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation57.879185
Coefficient of variation (CV)0.57591228
Kurtosis-1.2
Mean100.5
Median Absolute Deviation (MAD)50
Skewness0
Sum20100
Variance3350
MonotonicityStrictly increasing
2024-03-16T06:40:41.468062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
139 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (190) 190
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-16T06:40:41.968265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.95
Q150.75
median100.5
Q3150.25
95-th percentile190.05
Maximum200
Range199
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation57.879185
Coefficient of variation (CV)0.57591228
Kurtosis-1.2
Mean100.5
Median Absolute Deviation (MAD)50
Skewness0
Sum20100
Variance3350
MonotonicityStrictly increasing
2024-03-16T06:40:43.074167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
139 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (190) 190
95.0%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%

서명
Text

Distinct188
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-16T06:40:44.603346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length20.765
Min length3

Characters and Unicode

Total characters4153
Distinct characters476
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)88.0%

Sample

1st row에그박사 : 자연 생물 관찰 만화. 10, Egg&bugs
2nd row(흔한남매) 과학탐험대. 3, 인체
3rd row(흔한남매) 별난 방탈출. 5
4th row(흔한남매) 이상한 나라의 고전 읽기. 2, 전우치전·콩쥐팥쥐전·금오신화
5th row브레드 이발소 : 천재이발사 등장
ValueCountFrequency (%)
59
 
5.4%
흔한남매 32
 
2.9%
1 30
 
2.7%
2 23
 
2.1%
과학 17
 
1.6%
3 14
 
1.3%
5 10
 
0.9%
흔한 10
 
0.9%
만화 10
 
0.9%
파뿌리24 10
 
0.9%
Other values (572) 876
80.3%
2024-03-16T06:40:46.508933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
898
 
21.6%
. 128
 
3.1%
한 74
 
1.8%
, 68
 
1.6%
의 62
 
1.5%
( 55
 
1.3%
) 55
 
1.3%
이 55
 
1.3%
흔 54
 
1.3%
1 54
 
1.3%
Other values (466) 2650
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2552
61.4%
Space Separator 898
 
21.6%
Other Punctuation 279
 
6.7%
Decimal Number 214
 
5.2%
Lowercase Letter 59
 
1.4%
Open Punctuation 55
 
1.3%
Close Punctuation 55
 
1.3%
Uppercase Letter 27
 
0.7%
Math Symbol 7
 
0.2%
Dash Punctuation 3
 
0.1%
Other values (2) 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 74
 
2.9%
의 62
 
2.4%
이 55
 
2.2%
흔 54
 
2.1%
남 48
 
1.9%
매 44
 
1.7%
리 44
 
1.7%
사 40
 
1.6%
는 39
 
1.5%
에 35
 
1.4%
Other values (404) 2057
80.6%
Lowercase Letter
ValueCountFrequency (%)
o 8
13.6%
s 5
 
8.5%
h 4
 
6.8%
e 4
 
6.8%
i 4
 
6.8%
a 4
 
6.8%
g 3
 
5.1%
l 3
 
5.1%
c 3
 
5.1%
d 3
 
5.1%
Other values (10) 18
30.5%
Uppercase Letter
ValueCountFrequency (%)
X 4
14.8%
M 4
14.8%
E 2
 
7.4%
S 2
 
7.4%
W 2
 
7.4%
I 2
 
7.4%
T 2
 
7.4%
A 1
 
3.7%
Z 1
 
3.7%
R 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
1 54
25.2%
2 50
23.4%
4 24
11.2%
0 24
11.2%
3 19
 
8.9%
5 12
 
5.6%
7 11
 
5.1%
6 8
 
3.7%
9 7
 
3.3%
8 5
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 128
45.9%
, 68
24.4%
: 52
18.6%
! 20
 
7.2%
? 6
 
2.2%
' 2
 
0.7%
· 2
 
0.7%
& 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 4
57.1%
~ 3
42.9%
Space Separator
ValueCountFrequency (%)
898
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2552
61.4%
Common 1515
36.5%
Latin 86
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 74
 
2.9%
의 62
 
2.4%
이 55
 
2.2%
흔 54
 
2.1%
남 48
 
1.9%
매 44
 
1.7%
리 44
 
1.7%
사 40
 
1.6%
는 39
 
1.5%
에 35
 
1.4%
Other values (404) 2057
80.6%
Latin
ValueCountFrequency (%)
o 8
 
9.3%
s 5
 
5.8%
h 4
 
4.7%
e 4
 
4.7%
i 4
 
4.7%
a 4
 
4.7%
X 4
 
4.7%
M 4
 
4.7%
g 3
 
3.5%
l 3
 
3.5%
Other values (26) 43
50.0%
Common
ValueCountFrequency (%)
898
59.3%
. 128
 
8.4%
, 68
 
4.5%
( 55
 
3.6%
) 55
 
3.6%
1 54
 
3.6%
: 52
 
3.4%
2 50
 
3.3%
4 24
 
1.6%
0 24
 
1.6%
Other values (16) 107
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2552
61.4%
ASCII 1595
38.4%
Punctuation 4
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
898
56.3%
. 128
 
8.0%
, 68
 
4.3%
( 55
 
3.4%
) 55
 
3.4%
1 54
 
3.4%
: 52
 
3.3%
2 50
 
3.1%
4 24
 
1.5%
0 24
 
1.5%
Other values (49) 187
 
11.7%
Hangul
ValueCountFrequency (%)
한 74
 
2.9%
의 62
 
2.4%
이 55
 
2.2%
흔 54
 
2.1%
남 48
 
1.9%
매 44
 
1.7%
리 44
 
1.7%
사 40
 
1.6%
는 39
 
1.5%
에 35
 
1.4%
Other values (404) 2057
80.6%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
None
ValueCountFrequency (%)
· 2
100.0%

저자
Text

Distinct143
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-16T06:40:47.402336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length19.1
Min length4

Characters and Unicode

Total characters3820
Distinct characters267
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

Unique123 ?
Unique (%)61.5%

Sample

1st row에그박사 원작 ; 박송이 글 ; 홍종현 그림
2nd row흔한남매 원작 ; 이재국,이현진 글 ; 김덕영 그림
3rd row흔한남매 원작 ; 김언정 글 ; 차차 그림
4th row최재훈 글 ; 정주연 그림
5th row몬스터 스튜디오 원작·글·그림
ValueCountFrequency (%)
247
20.8%
그림 118
 
9.9%
글 106
 
8.9%
원작 82
 
6.9%
지음 44
 
3.7%
흔한남매 41
 
3.5%
옮김 26
 
2.2%
유난희 25
 
2.1%
글·그림 18
 
1.5%
백난도 14
 
1.2%
Other values (252) 467
39.3%
2024-03-16T06:40:48.740597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
999
26.2%
; 245
 
6.4%
그 153
 
4.0%
림 144
 
3.8%
글 127
 
3.3%
이 97
 
2.5%
원 92
 
2.4%
작 85
 
2.2%
김 72
 
1.9%
지 64
 
1.7%
Other values (257) 1742
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2449
64.1%
Space Separator 999
26.2%
Other Punctuation 334
 
8.7%
Lowercase Letter 14
 
0.4%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 153
 
6.2%
림 144
 
5.9%
글 127
 
5.2%
이 97
 
4.0%
원 92
 
3.8%
작 85
 
3.5%
김 72
 
2.9%
지 64
 
2.6%
한 57
 
2.3%
음 47
 
1.9%
Other values (231) 1511
61.7%
Lowercase Letter
ValueCountFrequency (%)
a 3
21.4%
i 2
14.3%
u 1
 
7.1%
n 1
 
7.1%
o 1
 
7.1%
c 1
 
7.1%
j 1
 
7.1%
m 1
 
7.1%
h 1
 
7.1%
s 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
; 245
73.4%
: 41
 
12.3%
· 24
 
7.2%
, 17
 
5.1%
. 7
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
J 2
25.0%
V 2
25.0%
T 2
25.0%
D 1
12.5%
K 1
12.5%
Open Punctuation
ValueCountFrequency (%)
[ 6
75.0%
( 2
 
25.0%
Close Punctuation
ValueCountFrequency (%)
] 6
75.0%
) 2
 
25.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2449
64.1%
Common 1349
35.3%
Latin 22
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 153
 
6.2%
림 144
 
5.9%
글 127
 
5.2%
이 97
 
4.0%
원 92
 
3.8%
작 85
 
3.5%
김 72
 
2.9%
지 64
 
2.6%
한 57
 
2.3%
음 47
 
1.9%
Other values (231) 1511
61.7%
Latin
ValueCountFrequency (%)
a 3
13.6%
J 2
 
9.1%
i 2
 
9.1%
V 2
 
9.1%
T 2
 
9.1%
D 1
 
4.5%
u 1
 
4.5%
n 1
 
4.5%
o 1
 
4.5%
c 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
999
74.1%
; 245
 
18.2%
: 41
 
3.0%
· 24
 
1.8%
, 17
 
1.3%
. 7
 
0.5%
[ 6
 
0.4%
] 6
 
0.4%
( 2
 
0.1%
) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2449
64.1%
ASCII 1347
35.3%
None 24
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
999
74.2%
; 245
 
18.2%
: 41
 
3.0%
, 17
 
1.3%
. 7
 
0.5%
[ 6
 
0.4%
] 6
 
0.4%
a 3
 
0.2%
J 2
 
0.1%
i 2
 
0.1%
Other values (15) 19
 
1.4%
Hangul
ValueCountFrequency (%)
그 153
 
6.2%
림 144
 
5.9%
글 127
 
5.2%
이 97
 
4.0%
원 92
 
3.8%
작 85
 
3.5%
김 72
 
2.9%
지 64
 
2.6%
한 57
 
2.3%
음 47
 
1.9%
Other values (231) 1511
61.7%
None
ValueCountFrequency (%)
· 24
100.0%

발행자
Text

Distinct74
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-16T06:40:49.415314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length5.545
Min length2

Characters and Unicode

Total characters1109
Distinct characters164
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

Unique49 ?
Unique (%)24.5%

Sample

1st row아이세움
2nd row주니어김영사
3rd rowMirae N 아이세움
4th row미래엔
5th row한솔수북
ValueCountFrequency (%)
아이세움 30
 
12.9%
위즈덤하우스 14
 
6.0%
서울문화사 13
 
5.6%
아울북 12
 
5.2%
주니어김영사 11
 
4.7%
겜툰 11
 
4.7%
mirae 10
 
4.3%
n 10
 
4.3%
미래엔 10
 
4.3%
다산어린이 9
 
3.9%
Other values (70) 102
44.0%
2024-03-16T06:40:50.489766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 67
 
6.0%
아 64
 
5.8%
세 44
 
4.0%
움 43
 
3.9%
32
 
2.9%
사 32
 
2.9%
북 30
 
2.7%
스 28
 
2.5%
울 26
 
2.3%
e 25
 
2.3%
Other values (154) 718
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 869
78.4%
Lowercase Letter 126
 
11.4%
Uppercase Letter 59
 
5.3%
Space Separator 32
 
2.9%
Other Punctuation 9
 
0.8%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 67
 
7.7%
아 64
 
7.4%
세 44
 
5.1%
움 43
 
4.9%
사 32
 
3.7%
북 30
 
3.5%
스 28
 
3.2%
울 26
 
3.0%
어 23
 
2.6%
즈 23
 
2.6%
Other values (119) 489
56.3%
Lowercase Letter
ValueCountFrequency (%)
e 25
19.8%
a 25
19.8%
i 23
18.3%
r 21
16.7%
o 6
 
4.8%
k 5
 
4.0%
d 4
 
3.2%
s 3
 
2.4%
u 2
 
1.6%
p 2
 
1.6%
Other values (8) 10
 
7.9%
Uppercase Letter
ValueCountFrequency (%)
N 21
35.6%
M 21
35.6%
B 3
 
5.1%
H 3
 
5.1%
K 3
 
5.1%
R 3
 
5.1%
D 2
 
3.4%
I 1
 
1.7%
W 1
 
1.7%
S 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
· 8
88.9%
& 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 869
78.4%
Latin 185
 
16.7%
Common 55
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 67
 
7.7%
아 64
 
7.4%
세 44
 
5.1%
움 43
 
4.9%
사 32
 
3.7%
북 30
 
3.5%
스 28
 
3.2%
울 26
 
3.0%
어 23
 
2.6%
즈 23
 
2.6%
Other values (119) 489
56.3%
Latin
ValueCountFrequency (%)
e 25
13.5%
a 25
13.5%
i 23
12.4%
N 21
11.4%
M 21
11.4%
r 21
11.4%
o 6
 
3.2%
k 5
 
2.7%
d 4
 
2.2%
B 3
 
1.6%
Other values (18) 31
16.8%
Common
ValueCountFrequency (%)
32
58.2%
· 8
 
14.5%
( 6
 
10.9%
) 6
 
10.9%
& 1
 
1.8%
2 1
 
1.8%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 869
78.4%
ASCII 232
 
20.9%
None 8
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 67
 
7.7%
아 64
 
7.4%
세 44
 
5.1%
움 43
 
4.9%
사 32
 
3.7%
북 30
 
3.5%
스 28
 
3.2%
울 26
 
3.0%
어 23
 
2.6%
즈 23
 
2.6%
Other values (119) 489
56.3%
ASCII
ValueCountFrequency (%)
32
13.8%
e 25
10.8%
a 25
10.8%
i 23
9.9%
N 21
9.1%
M 21
9.1%
r 21
9.1%
o 6
 
2.6%
( 6
 
2.6%
) 6
 
2.6%
Other values (24) 46
19.8%
None
ValueCountFrequency (%)
· 8
100.0%

청구기호
Text

Distinct197
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-16T06:40:51.148050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length13.105
Min length8

Characters and Unicode

Total characters2621
Distinct characters101
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

Unique194 ?
Unique (%)97.0%

Sample

1st rowJ 472-박55ㅇ-10
2nd rowJ 400-이72ㄱ-3
3rd rowJ 813.8-김63ㅂ-5
4th rowJ 813.5-흔91ㅇ-2
5th rowJ 810-브233
ValueCountFrequency (%)
j 154
43.1%
mc 3
 
0.8%
813.8-최68ㄴ 2
 
0.6%
400-안819ㅎ-5 2
 
0.6%
472-박55ㅇ-10 2
 
0.6%
714-신49-2 1
 
0.3%
813.8-백211ㅎ-2=3 1
 
0.3%
714-박53ㅅ 1
 
0.3%
813.7-정92ㅇ 1
 
0.3%
594-백75ㄷ-1 1
 
0.3%
Other values (189) 189
52.9%
2024-03-16T06:40:52.269842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 329
12.6%
1 260
 
9.9%
8 234
 
8.9%
3 225
 
8.6%
2 171
 
6.5%
157
 
6.0%
J 154
 
5.9%
. 125
 
4.8%
5 107
 
4.1%
4 101
 
3.9%
Other values (91) 758
28.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1424
54.3%
Other Letter 377
 
14.4%
Dash Punctuation 329
 
12.6%
Uppercase Letter 160
 
6.1%
Space Separator 157
 
6.0%
Other Punctuation 125
 
4.8%
Math Symbol 49
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅎ 35
 
9.3%
ㅇ 29
 
7.7%
ㅂ 27
 
7.2%
박 23
 
6.1%
백 17
 
4.5%
ㄴ 16
 
4.2%
ㄱ 13
 
3.4%
ㅅ 13
 
3.4%
이 13
 
3.4%
김 11
 
2.9%
Other values (74) 180
47.7%
Decimal Number
ValueCountFrequency (%)
1 260
18.3%
8 234
16.4%
3 225
15.8%
2 171
12.0%
5 107
7.5%
4 101
 
7.1%
7 99
 
7.0%
9 92
 
6.5%
0 81
 
5.7%
6 54
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
J 154
96.2%
C 3
 
1.9%
M 3
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Other Punctuation
ValueCountFrequency (%)
. 125
100.0%
Math Symbol
ValueCountFrequency (%)
= 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2084
79.5%
Hangul 377
 
14.4%
Latin 160
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅎ 35
 
9.3%
ㅇ 29
 
7.7%
ㅂ 27
 
7.2%
박 23
 
6.1%
백 17
 
4.5%
ㄴ 16
 
4.2%
ㄱ 13
 
3.4%
ㅅ 13
 
3.4%
이 13
 
3.4%
김 11
 
2.9%
Other values (74) 180
47.7%
Common
ValueCountFrequency (%)
- 329
15.8%
1 260
12.5%
8 234
11.2%
3 225
10.8%
2 171
8.2%
157
7.5%
. 125
 
6.0%
5 107
 
5.1%
4 101
 
4.8%
7 99
 
4.8%
Other values (4) 276
13.2%
Latin
ValueCountFrequency (%)
J 154
96.2%
C 3
 
1.9%
M 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2244
85.6%
Hangul 200
 
7.6%
Compat Jamo 177
 
6.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 329
14.7%
1 260
11.6%
8 234
10.4%
3 225
10.0%
2 171
7.6%
157
7.0%
J 154
6.9%
. 125
 
5.6%
5 107
 
4.8%
4 101
 
4.5%
Other values (7) 381
17.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 35
19.8%
ㅇ 29
16.4%
ㅂ 27
15.3%
ㄴ 16
9.0%
ㄱ 13
 
7.3%
ㅅ 13
 
7.3%
ㅁ 11
 
6.2%
ㄷ 9
 
5.1%
ㅌ 5
 
2.8%
ㅊ 4
 
2.3%
Other values (7) 15
8.5%
Hangul
ValueCountFrequency (%)
박 23
 
11.5%
백 17
 
8.5%
이 13
 
6.5%
김 11
 
5.5%
파 10
 
5.0%
흔 10
 
5.0%
안 9
 
4.5%
신 9
 
4.5%
최 6
 
3.0%
한 5
 
2.5%
Other values (57) 87
43.5%

자료실
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
[국보]어린이자료실(3층)
153 
[국보]인문자료실(4층)
26 
[국보]종합자료실(3층)
16 
[국보]유아자료실(3층)
 
3
[국보]제1보존서고
 
1

Length

Max length15
Median length14
Mean length13.76
Min length10

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row[국보]어린이자료실(3층)
2nd row[국보]어린이자료실(3층)
3rd row[국보]어린이자료실(3층)
4th row[국보]어린이자료실(3층)
5th row[국보]어린이자료실(3층)

Common Values

ValueCountFrequency (%)
[국보]어린이자료실(3층) 153
76.5%
[국보]인문자료실(4층) 26
 
13.0%
[국보]종합자료실(3층) 16
 
8.0%
[국보]유아자료실(3층) 3
 
1.5%
[국보]제1보존서고 1
 
0.5%
[국보]제2보존서고(어린이) 1
 
0.5%

Length

2024-03-16T06:40:53.010995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T06:40:53.644919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국보]어린이자료실(3층 153
76.5%
국보]인문자료실(4층 26
 
13.0%
국보]종합자료실(3층 16
 
8.0%
국보]유아자료실(3층 3
 
1.5%
국보]제1보존서고 1
 
0.5%
국보]제2보존서고(어린이 1
 
0.5%

대출횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.935
Minimum7
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-16T06:40:54.053513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median8
Q38
95-th percentile10
Maximum13
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.93549492
Coefficient of variation (CV)0.11789476
Kurtosis4.2045025
Mean7.935
Median Absolute Deviation (MAD)1
Skewness1.4694795
Sum1587
Variance0.87515075
MonotonicityDecreasing
2024-03-16T06:40:54.530292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 89
44.5%
7 70
35.0%
9 30
 
15.0%
10 8
 
4.0%
11 2
 
1.0%
13 1
 
0.5%
ValueCountFrequency (%)
7 70
35.0%
8 89
44.5%
9 30
 
15.0%
10 8
 
4.0%
11 2
 
1.0%
13 1
 
0.5%
ValueCountFrequency (%)
13 1
 
0.5%
11 2
 
1.0%
10 8
 
4.0%
9 30
 
15.0%
8 89
44.5%
7 70
35.0%

Interactions

2024-03-16T06:40:38.658266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:36.644501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:37.745908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:39.008194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:36.909519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:38.047586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:39.314059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:37.184939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:40:38.351353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T06:40:54.808018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위등록번호발행자자료실대출횟수
순위1.0001.0000.6490.1950.839
등록번호1.0001.0000.6490.1950.839
발행자0.6490.6491.0000.9640.000
자료실0.1950.1950.9641.0000.000
대출횟수0.8390.8390.0000.0001.000
2024-03-16T06:40:55.085471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위등록번호대출횟수자료실
순위1.0001.000-0.9300.102
등록번호1.0001.000-0.9300.102
대출횟수-0.930-0.9301.0000.000
자료실0.1020.1020.0001.000

Missing values

2024-03-16T06:40:39.717803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T06:40:40.313137image/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

순위등록번호서명저자발행자청구기호자료실대출횟수
011에그박사 : 자연 생물 관찰 만화. 10, Egg&bugs에그박사 원작 ; 박송이 글 ; 홍종현 그림아이세움J 472-박55ㅇ-10[국보]어린이자료실(3층)13
122(흔한남매) 과학탐험대. 3, 인체흔한남매 원작 ; 이재국,이현진 글 ; 김덕영 그림주니어김영사J 400-이72ㄱ-3[국보]어린이자료실(3층)11
233(흔한남매) 별난 방탈출. 5흔한남매 원작 ; 김언정 글 ; 차차 그림Mirae N 아이세움J 813.8-김63ㅂ-5[국보]어린이자료실(3층)11
344(흔한남매) 이상한 나라의 고전 읽기. 2, 전우치전·콩쥐팥쥐전·금오신화최재훈 글 ; 정주연 그림미래엔J 813.5-흔91ㅇ-2[국보]어린이자료실(3층)10
455브레드 이발소 : 천재이발사 등장몬스터 스튜디오 원작·글·그림한솔수북J 810-브233[국보]어린이자료실(3층)10
566(흔한남매) 별난 방탈출 : 탈출 미션 스토리북. 2흔한남매 원작 ; 김언정 글 ; 차차 그림Mirae N 아이세움J 813.8-김63ㅂ-2=2[국보]어린이자료실(3층)10
677(흔한남매) 별난 방탈출. 1흔한남매 원작 ; 김언정 글 ; 차차 그림Mirae N 아이세움J 813.8-김63ㅂ-1=2[국보]어린이자료실(3층)10
788(흔한남매의)흔한 호기심. 10흔한남매 원작 ; 안치현 글 ; 유난희 그림미래엔J 404-안819ㅎ-10[국보]어린이자료실(3층)10
899우다다 꽁냥파크. 2, 워터파크 편권혁진 글 ; 심보영 그림비룡소J 813.8-권94ㅇ-2[국보]어린이자료실(3층)10
91010흔한 남매. 3백난도 지음 ; 유난희 그림아이세움J 813.8-백211ㅎ-3=2[국보]어린이자료실(3층)10
순위등록번호서명저자발행자청구기호자료실대출횟수
190191191부자의 그릇 : 돈을 다루는 능력을 키우는 법이즈미 마사토 지음 ; 김윤수 옮김다산북스327.04-이78ㅂ2[국보]종합자료실(3층)7
191192192아주 작은 습관의 힘 : 최고의 변화는 어떻게 만들어지는가제임스 클리어 지음 ; 이한이 옮김비즈니스북스181.845-클239ㅇ=7[국보]인문자료실(4층)7
192193193에그박사 : 자연 생물 관찰 만화. 1에그박사 원작 ; 박송이 글 ; 홍종현 그림아이세움J 472-박55ㅇ-1[국보]어린이자료실(3층)7
193194194(추리 천재)엉덩이 탐정. 10, 사랑의 포로 사건트롤 지음 ; 김정화 옮김미래엔J 833.8-트235ㅇ-10=2[국보]어린이자료실(3층)7
194195195뼈뼈 사우루스. 9, 베베와 '마법 골짜기'의 마법사들암모나이트 글·그림 ; 김정화 옮김미래엔 아이세움J 833.8-암35ㅃ-9=2[국보]어린이자료실(3층)7
195196196(신비아파트 고스트볼 더블X 6개의 예언) 나와라! 북한말 주문진글: 이수겸 ; 그림: 이준희위즈덤하우스J 714-이57ㄴ[국보]어린이자료실(3층)7
196197197(흔한남매) 과학 탐험대. 1, 우주흔한남매 원작 ; 이재국,이현진 지음 ; 김덕영 그림주니어김영사J 400-이72ㄱ-1[국보]어린이자료실(3층)7
197198198뼈뼈 사우루스. 11, 베베와 기적의 나무, ‘뼈그드라실’암모나이트 글·그림 ; 김정화 옮김MiraeN·아이세움J 833.8-암35ㅃ-11[국보]어린이자료실(3층)7
198199199(윌크가 들려주는 단짠단짠) 디저트의 역사. 2몬스터스튜디오 원작 글·그림북센스J 594-몬58ㄷ-2[국보]어린이자료실(3층)7
199200200놓지 마 어휘. 1, 한자어신태훈 ; 나승훈 [공]글·그림 ; 정상은 감수주니어김영사J 710-신832ㄴ-1[국보]어린이자료실(3층)7