Overview

Dataset statistics

Number of variables11
Number of observations1690
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.3 KiB
Average record size in memory91.1 B

Variable types

Numeric2
Text5
Categorical4

Dataset

Description부산광역시연제구_연제도서관신착도서현황_20210720
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15048048

Alerts

원부년도 has constant value ""Constant
자료실 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
이용제한구분 is highly overall correlated with 자료실High correlation
번호 is highly overall correlated with 자료실 and 1 other fieldsHigh correlation
배가일 is highly overall correlated with 번호High correlation
이용제한구분 is highly imbalanced (91.9%)Imbalance
번호 has unique valuesUnique
등록번호 has unique valuesUnique
청구기호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:04:47.546155
Analysis finished2024-04-21 07:04:50.988357
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean845.5
Minimum1
Maximum1690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.0 KiB
2024-04-21T16:04:51.155969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85.45
Q1423.25
median845.5
Q31267.75
95-th percentile1605.55
Maximum1690
Range1689
Interquartile range (IQR)844.5

Descriptive statistics

Standard deviation488.00529
Coefficient of variation (CV)0.57717953
Kurtosis-1.2
Mean845.5
Median Absolute Deviation (MAD)422.5
Skewness0
Sum1428895
Variance238149.17
MonotonicityStrictly increasing
2024-04-21T16:04:51.501007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1111 1
 
0.1%
1135 1
 
0.1%
1134 1
 
0.1%
1133 1
 
0.1%
1132 1
 
0.1%
1131 1
 
0.1%
1130 1
 
0.1%
1129 1
 
0.1%
1128 1
 
0.1%
Other values (1680) 1680
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1690 1
0.1%
1689 1
0.1%
1688 1
0.1%
1687 1
0.1%
1686 1
0.1%
1685 1
0.1%
1684 1
0.1%
1683 1
0.1%
1682 1
0.1%
1681 1
0.1%

등록번호
Text

UNIQUE 

Distinct1690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-04-21T16:04:52.314837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters20280
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

Unique1690 ?
Unique (%)100.0%

Sample

1st rowABN000119166
2nd rowABN000119167
3rd rowABN000119168
4th rowABN000119169
5th rowABN000119170
ValueCountFrequency (%)
abn000119166 1
 
0.1%
abn000128451 1
 
0.1%
abn000128475 1
 
0.1%
abn000128474 1
 
0.1%
abn000128473 1
 
0.1%
abn000128472 1
 
0.1%
abn000128471 1
 
0.1%
abn000128470 1
 
0.1%
abn000128469 1
 
0.1%
abn000128468 1
 
0.1%
Other values (1680) 1680
99.4%
2024-04-21T16:04:53.613853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5546
27.3%
1 2374
11.7%
2 2029
 
10.0%
A 1690
 
8.3%
B 1690
 
8.3%
N 1690
 
8.3%
8 1202
 
5.9%
7 971
 
4.8%
6 836
 
4.1%
9 774
 
3.8%
Other values (3) 1478
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15210
75.0%
Uppercase Letter 5070
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5546
36.5%
1 2374
15.6%
2 2029
 
13.3%
8 1202
 
7.9%
7 971
 
6.4%
6 836
 
5.5%
9 774
 
5.1%
3 586
 
3.9%
4 457
 
3.0%
5 435
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 1690
33.3%
B 1690
33.3%
N 1690
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 15210
75.0%
Latin 5070
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5546
36.5%
1 2374
15.6%
2 2029
 
13.3%
8 1202
 
7.9%
7 971
 
6.4%
6 836
 
5.5%
9 774
 
5.1%
3 586
 
3.9%
4 457
 
3.0%
5 435
 
2.9%
Latin
ValueCountFrequency (%)
A 1690
33.3%
B 1690
33.3%
N 1690
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5546
27.3%
1 2374
11.7%
2 2029
 
10.0%
A 1690
 
8.3%
B 1690
 
8.3%
N 1690
 
8.3%
8 1202
 
5.9%
7 971
 
4.8%
6 836
 
4.1%
9 774
 
3.8%
Other values (3) 1478
 
7.3%

서명
Text

Distinct1673
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-04-21T16:04:54.770048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length61
Mean length25.729586
Min length2

Characters and Unicode

Total characters43483
Distinct characters1087
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1656 ?
Unique (%)98.0%

Sample

1st row다산의 사람 그릇
2nd row인공지능의 마지막 공부 : AI에게 철학을 가르치면 어떤 일이 일어날까?
3rd row나는 왜 엄마가 힘들까 : 나르시시스트 엄마에게 고통받는 딸을 위한 정서적 독립 프로젝트
4th row너 어디에서 왔니
5th row또, 괜찮지 않은 연애를 시작했습니다
ValueCountFrequency (%)
940
 
8.1%
큰글씨책 84
 
0.7%
위한 79
 
0.7%
이야기 63
 
0.5%
61
 
0.5%
1 56
 
0.5%
2 45
 
0.4%
어떻게 44
 
0.4%
우리 39
 
0.3%
나는 38
 
0.3%
Other values (6178) 10152
87.5%
2024-04-21T16:04:56.192330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9911
 
22.8%
: 945
 
2.2%
873
 
2.0%
752
 
1.7%
742
 
1.7%
472
 
1.1%
445
 
1.0%
441
 
1.0%
409
 
0.9%
, 389
 
0.9%
Other values (1077) 28104
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28716
66.0%
Space Separator 9911
 
22.8%
Other Punctuation 1919
 
4.4%
Lowercase Letter 1157
 
2.7%
Decimal Number 885
 
2.0%
Open Punctuation 314
 
0.7%
Close Punctuation 314
 
0.7%
Uppercase Letter 164
 
0.4%
Math Symbol 65
 
0.1%
Dash Punctuation 27
 
0.1%
Other values (5) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
873
 
3.0%
752
 
2.6%
742
 
2.6%
472
 
1.6%
445
 
1.5%
441
 
1.5%
409
 
1.4%
387
 
1.3%
375
 
1.3%
373
 
1.3%
Other values (977) 23447
81.7%
Lowercase Letter
ValueCountFrequency (%)
e 127
11.0%
o 109
 
9.4%
i 103
 
8.9%
n 86
 
7.4%
t 83
 
7.2%
a 83
 
7.2%
s 79
 
6.8%
r 79
 
6.8%
l 52
 
4.5%
h 52
 
4.5%
Other values (15) 304
26.3%
Uppercase Letter
ValueCountFrequency (%)
T 22
13.4%
S 15
 
9.1%
G 12
 
7.3%
A 12
 
7.3%
D 11
 
6.7%
C 11
 
6.7%
I 10
 
6.1%
N 10
 
6.1%
E 8
 
4.9%
K 7
 
4.3%
Other values (14) 46
28.0%
Other Punctuation
ValueCountFrequency (%)
: 945
49.2%
, 389
20.3%
. 223
 
11.6%
! 168
 
8.8%
? 95
 
5.0%
· 34
 
1.8%
' 29
 
1.5%
" 16
 
0.8%
% 7
 
0.4%
4
 
0.2%
Other values (6) 9
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 198
22.4%
1 196
22.1%
2 126
14.2%
5 78
 
8.8%
3 66
 
7.5%
4 52
 
5.9%
9 47
 
5.3%
6 45
 
5.1%
8 43
 
4.9%
7 34
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 51
78.5%
~ 4
 
6.2%
< 4
 
6.2%
> 4
 
6.2%
| 1
 
1.5%
× 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 224
71.3%
[ 83
 
26.4%
3
 
1.0%
3
 
1.0%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 224
71.3%
] 83
 
26.4%
3
 
1.0%
3
 
1.0%
1
 
0.3%
Other Symbol
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Space Separator
ValueCountFrequency (%)
9911
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28681
66.0%
Common 13444
30.9%
Latin 1323
 
3.0%
Han 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
873
 
3.0%
752
 
2.6%
742
 
2.6%
472
 
1.6%
445
 
1.6%
441
 
1.5%
409
 
1.4%
387
 
1.3%
375
 
1.3%
373
 
1.3%
Other values (943) 23412
81.6%
Common
ValueCountFrequency (%)
9911
73.7%
: 945
 
7.0%
, 389
 
2.9%
( 224
 
1.7%
) 224
 
1.7%
. 223
 
1.7%
0 198
 
1.5%
1 196
 
1.5%
! 168
 
1.2%
2 126
 
0.9%
Other values (40) 840
 
6.2%
Latin
ValueCountFrequency (%)
e 127
 
9.6%
o 109
 
8.2%
i 103
 
7.8%
n 86
 
6.5%
t 83
 
6.3%
a 83
 
6.3%
s 79
 
6.0%
r 79
 
6.0%
l 52
 
3.9%
h 52
 
3.9%
Other values (40) 470
35.5%
Han
ValueCountFrequency (%)
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (24) 24
68.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28678
66.0%
ASCII 14701
33.8%
None 56
 
0.1%
CJK 33
 
0.1%
Misc Symbols 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Punctuation 3
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9911
67.4%
: 945
 
6.4%
, 389
 
2.6%
( 224
 
1.5%
) 224
 
1.5%
. 223
 
1.5%
0 198
 
1.3%
1 196
 
1.3%
! 168
 
1.1%
e 127
 
0.9%
Other values (72) 2096
 
14.3%
Hangul
ValueCountFrequency (%)
873
 
3.0%
752
 
2.6%
742
 
2.6%
472
 
1.6%
445
 
1.6%
441
 
1.5%
409
 
1.4%
387
 
1.3%
375
 
1.3%
373
 
1.3%
Other values (941) 23409
81.6%
None
ValueCountFrequency (%)
· 34
60.7%
4
 
7.1%
3
 
5.4%
3
 
5.4%
3
 
5.4%
3
 
5.4%
´ 2
 
3.6%
1
 
1.8%
1
 
1.8%
× 1
 
1.8%
Number Forms
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
2
 
6.1%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
Other values (22) 22
66.7%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
2
50.0%
2
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%
Punctuation
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct1542
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-04-21T16:04:57.493288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length14.557396
Min length2

Characters and Unicode

Total characters24602
Distinct characters668
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1436 ?
Unique (%)85.0%

Sample

1st row진규동 지음
2nd row오카모토 유이치로 지음 ; 김슬기 옮김
3rd row썸머 지음
4th row이어령 지음
5th row마르니 퓨어맨 지음 ; 이현주 옮김
ValueCountFrequency (%)
1086
 
14.4%
지음 1078
 
14.3%
옮김 525
 
7.0%
그림 459
 
6.1%
331
 
4.4%
글·그림 92
 
1.2%
공]지음 59
 
0.8%
플러그 40
 
0.5%
36
 
0.5%
엮음 35
 
0.5%
Other values (2847) 3777
50.2%
2024-04-21T16:04:59.343865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5828
23.7%
1297
 
5.3%
1183
 
4.8%
; 1086
 
4.4%
938
 
3.8%
626
 
2.5%
575
 
2.3%
537
 
2.2%
511
 
2.1%
462
 
1.9%
Other values (658) 11559
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16913
68.7%
Space Separator 5828
 
23.7%
Other Punctuation 1471
 
6.0%
Close Punctuation 111
 
0.5%
Open Punctuation 111
 
0.5%
Lowercase Letter 97
 
0.4%
Uppercase Letter 59
 
0.2%
Dash Punctuation 6
 
< 0.1%
Decimal Number 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1297
 
7.7%
1183
 
7.0%
938
 
5.5%
626
 
3.7%
575
 
3.4%
537
 
3.2%
511
 
3.0%
462
 
2.7%
263
 
1.6%
260
 
1.5%
Other values (606) 10261
60.7%
Uppercase Letter
ValueCountFrequency (%)
S 7
11.9%
C 7
11.9%
J 6
10.2%
A 6
10.2%
D 5
8.5%
K 5
8.5%
M 3
 
5.1%
H 3
 
5.1%
T 3
 
5.1%
R 3
 
5.1%
Other values (8) 11
18.6%
Lowercase Letter
ValueCountFrequency (%)
e 13
13.4%
n 12
12.4%
l 10
10.3%
a 9
9.3%
t 8
8.2%
r 7
7.2%
u 7
7.2%
i 6
 
6.2%
s 6
 
6.2%
o 4
 
4.1%
Other values (7) 15
15.5%
Other Punctuation
ValueCountFrequency (%)
; 1086
73.8%
, 219
 
14.9%
· 110
 
7.5%
. 39
 
2.7%
: 14
 
1.0%
& 2
 
0.1%
/ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
5 1
 
20.0%
1 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
] 110
99.1%
) 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
[ 110
99.1%
( 1
 
0.9%
Space Separator
ValueCountFrequency (%)
5828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16911
68.7%
Common 7533
30.6%
Latin 156
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1297
 
7.7%
1183
 
7.0%
938
 
5.5%
626
 
3.7%
575
 
3.4%
537
 
3.2%
511
 
3.0%
462
 
2.7%
263
 
1.6%
260
 
1.5%
Other values (604) 10259
60.7%
Latin
ValueCountFrequency (%)
e 13
 
8.3%
n 12
 
7.7%
l 10
 
6.4%
a 9
 
5.8%
t 8
 
5.1%
r 7
 
4.5%
S 7
 
4.5%
C 7
 
4.5%
u 7
 
4.5%
J 6
 
3.8%
Other values (25) 70
44.9%
Common
ValueCountFrequency (%)
5828
77.4%
; 1086
 
14.4%
, 219
 
2.9%
] 110
 
1.5%
· 110
 
1.5%
[ 110
 
1.5%
. 39
 
0.5%
: 14
 
0.2%
- 6
 
0.1%
0 3
 
< 0.1%
Other values (7) 8
 
0.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16911
68.7%
ASCII 7578
30.8%
None 111
 
0.5%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5828
76.9%
; 1086
 
14.3%
, 219
 
2.9%
] 110
 
1.5%
[ 110
 
1.5%
. 39
 
0.5%
: 14
 
0.2%
e 13
 
0.2%
n 12
 
0.2%
l 10
 
0.1%
Other values (40) 137
 
1.8%
Hangul
ValueCountFrequency (%)
1297
 
7.7%
1183
 
7.0%
938
 
5.5%
626
 
3.7%
575
 
3.4%
537
 
3.2%
511
 
3.0%
462
 
2.7%
263
 
1.6%
260
 
1.5%
Other values (604) 10259
60.7%
None
ValueCountFrequency (%)
· 110
99.1%
1
 
0.9%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct827
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-04-21T16:05:00.230932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length5.0650888
Min length1

Characters and Unicode

Total characters8560
Distinct characters535
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique557 ?
Unique (%)33.0%

Sample

1st row레몬북스
2nd row유노북스
3rd row책과이음
4th row파람북
5th row한문화
ValueCountFrequency (%)
성우:성우주니어 40
 
2.3%
지식을만드는지식 26
 
1.5%
커뮤니케이션북스 22
 
1.3%
김영사 22
 
1.3%
siso 21
 
1.2%
위즈덤하우스 20
 
1.2%
행성비 19
 
1.1%
뭉치:동아엠앤비 17
 
1.0%
행성비잎새 15
 
0.9%
창비 15
 
0.9%
Other values (840) 1515
87.5%
2024-04-21T16:05:01.527358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
3.9%
277
 
3.2%
273
 
3.2%
: 221
 
2.6%
197
 
2.3%
189
 
2.2%
154
 
1.8%
145
 
1.7%
144
 
1.7%
137
 
1.6%
Other values (525) 6493
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7754
90.6%
Lowercase Letter 339
 
4.0%
Other Punctuation 232
 
2.7%
Uppercase Letter 136
 
1.6%
Space Separator 42
 
0.5%
Close Punctuation 21
 
0.2%
Open Punctuation 21
 
0.2%
Decimal Number 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
330
 
4.3%
277
 
3.6%
273
 
3.5%
197
 
2.5%
189
 
2.4%
154
 
2.0%
145
 
1.9%
144
 
1.9%
137
 
1.8%
130
 
1.7%
Other values (467) 5778
74.5%
Lowercase Letter
ValueCountFrequency (%)
o 58
17.1%
i 46
13.6%
s 41
12.1%
e 30
8.8%
a 22
 
6.5%
l 19
 
5.6%
r 18
 
5.3%
d 14
 
4.1%
k 13
 
3.8%
b 12
 
3.5%
Other values (13) 66
19.5%
Uppercase Letter
ValueCountFrequency (%)
S 29
21.3%
B 21
15.4%
P 13
9.6%
E 8
 
5.9%
M 7
 
5.1%
O 6
 
4.4%
I 6
 
4.4%
H 6
 
4.4%
N 6
 
4.4%
R 5
 
3.7%
Other values (11) 29
21.3%
Other Punctuation
ValueCountFrequency (%)
: 221
95.3%
& 4
 
1.7%
# 3
 
1.3%
' 1
 
0.4%
1
 
0.4%
· 1
 
0.4%
1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 6
40.0%
2 5
33.3%
6 3
20.0%
7 1
 
6.7%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7751
90.5%
Latin 475
 
5.5%
Common 331
 
3.9%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
330
 
4.3%
277
 
3.6%
273
 
3.5%
197
 
2.5%
189
 
2.4%
154
 
2.0%
145
 
1.9%
144
 
1.9%
137
 
1.8%
130
 
1.7%
Other values (464) 5775
74.5%
Latin
ValueCountFrequency (%)
o 58
 
12.2%
i 46
 
9.7%
s 41
 
8.6%
e 30
 
6.3%
S 29
 
6.1%
a 22
 
4.6%
B 21
 
4.4%
l 19
 
4.0%
r 18
 
3.8%
d 14
 
2.9%
Other values (34) 177
37.3%
Common
ValueCountFrequency (%)
: 221
66.8%
42
 
12.7%
) 21
 
6.3%
( 21
 
6.3%
1 6
 
1.8%
2 5
 
1.5%
& 4
 
1.2%
# 3
 
0.9%
6 3
 
0.9%
7 1
 
0.3%
Other values (4) 4
 
1.2%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7751
90.5%
ASCII 803
 
9.4%
None 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
330
 
4.3%
277
 
3.6%
273
 
3.5%
197
 
2.5%
189
 
2.4%
154
 
2.0%
145
 
1.9%
144
 
1.9%
137
 
1.8%
130
 
1.7%
Other values (464) 5775
74.5%
ASCII
ValueCountFrequency (%)
: 221
27.5%
o 58
 
7.2%
i 46
 
5.7%
42
 
5.2%
s 41
 
5.1%
e 30
 
3.7%
S 29
 
3.6%
a 22
 
2.7%
) 21
 
2.6%
B 21
 
2.6%
Other values (45) 272
33.9%
None
ValueCountFrequency (%)
1
33.3%
· 1
33.3%
1
33.3%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

발행년
Real number (ℝ)

Distinct13
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.2858
Minimum2001
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.0 KiB
2024-04-21T16:05:01.823854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2019
Q12020
median2021
Q32021
95-th percentile2021
Maximum2021
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2149062
Coefficient of variation (CV)0.00060135364
Kurtosis63.86428
Mean2020.2858
Median Absolute Deviation (MAD)0
Skewness-5.8198893
Sum3414283
Variance1.4759971
MonotonicityNot monotonic
2024-04-21T16:05:02.228500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2021 913
54.0%
2020 531
31.4%
2019 164
 
9.7%
2018 53
 
3.1%
2017 16
 
0.9%
2016 2
 
0.1%
2007 2
 
0.1%
2013 2
 
0.1%
2015 2
 
0.1%
2011 2
 
0.1%
Other values (3) 3
 
0.2%
ValueCountFrequency (%)
2001 1
 
0.1%
2007 2
 
0.1%
2009 1
 
0.1%
2011 2
 
0.1%
2013 2
 
0.1%
2014 1
 
0.1%
2015 2
 
0.1%
2016 2
 
0.1%
2017 16
 
0.9%
2018 53
3.1%
ValueCountFrequency (%)
2021 913
54.0%
2020 531
31.4%
2019 164
 
9.7%
2018 53
 
3.1%
2017 16
 
0.9%
2016 2
 
0.1%
2015 2
 
0.1%
2014 1
 
0.1%
2013 2
 
0.1%
2011 2
 
0.1%

청구기호
Text

UNIQUE 

Distinct1690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2024-04-21T16:05:03.459171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.181065
Min length5

Characters and Unicode

Total characters18896
Distinct characters31
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

Unique1690 ?
Unique (%)100.0%

Sample

1st row151.58-23
2nd row401-42
3rd row189.24-24=2
4th row814.7-825=2
5th row182.2-72
ValueCountFrequency (%)
아동 423
 
15.1%
큰글자 233
 
8.3%
시니어 227
 
8.1%
그림책 203
 
7.3%
mom 13
 
0.5%
327.04-4 3
 
0.1%
보드북 3
 
0.1%
818-26 2
 
0.1%
818-24 2
 
0.1%
818-25 2
 
0.1%
Other values (1665) 1683
60.2%
2024-04-21T16:05:05.010625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2142
11.3%
1 2047
 
10.8%
8 1603
 
8.5%
3 1551
 
8.2%
2 1518
 
8.0%
1104
 
5.8%
. 1081
 
5.7%
5 930
 
4.9%
4 879
 
4.7%
9 832
 
4.4%
Other values (21) 5209
27.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11442
60.6%
Other Letter 2848
 
15.1%
Dash Punctuation 2142
 
11.3%
Space Separator 1104
 
5.8%
Other Punctuation 1081
 
5.7%
Math Symbol 240
 
1.3%
Uppercase Letter 39
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
423
14.9%
423
14.9%
233
8.2%
233
8.2%
233
8.2%
229
8.0%
227
8.0%
227
8.0%
203
7.1%
203
7.1%
Other values (5) 214
7.5%
Decimal Number
ValueCountFrequency (%)
1 2047
17.9%
8 1603
14.0%
3 1551
13.6%
2 1518
13.3%
5 930
8.1%
4 879
7.7%
9 832
7.3%
0 781
 
6.8%
7 722
 
6.3%
6 579
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
M 26
66.7%
O 13
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2142
100.0%
Space Separator
ValueCountFrequency (%)
1104
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1081
100.0%
Math Symbol
ValueCountFrequency (%)
= 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16009
84.7%
Hangul 2848
 
15.1%
Latin 39
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
423
14.9%
423
14.9%
233
8.2%
233
8.2%
233
8.2%
229
8.0%
227
8.0%
227
8.0%
203
7.1%
203
7.1%
Other values (5) 214
7.5%
Common
ValueCountFrequency (%)
- 2142
13.4%
1 2047
12.8%
8 1603
10.0%
3 1551
9.7%
2 1518
9.5%
1104
6.9%
. 1081
6.8%
5 930
5.8%
4 879
 
5.5%
9 832
 
5.2%
Other values (4) 2322
14.5%
Latin
ValueCountFrequency (%)
M 26
66.7%
O 13
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16048
84.9%
Hangul 2848
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2142
13.3%
1 2047
12.8%
8 1603
10.0%
3 1551
9.7%
2 1518
9.5%
1104
6.9%
. 1081
6.7%
5 930
 
5.8%
4 879
 
5.5%
9 832
 
5.2%
Other values (6) 2361
14.7%
Hangul
ValueCountFrequency (%)
423
14.9%
423
14.9%
233
8.2%
233
8.2%
233
8.2%
229
8.0%
227
8.0%
227
8.0%
203
7.1%
203
7.1%
Other values (5) 214
7.5%

이용제한구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
일반
1673 
사서제한
 
17

Length

Max length4
Median length2
Mean length2.0201183
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 1673
99.0%
사서제한 17
 
1.0%

Length

2024-04-21T16:05:05.355098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:05.582556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 1673
99.0%
사서제한 17
 
1.0%

자료실
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
[연제구]종합자료실
1029 
[연제구]어린이자료실
644 
[연제구]보존서고
 
17

Length

Max length11
Median length10
Mean length10.371006
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[연제구]종합자료실
2nd row[연제구]종합자료실
3rd row[연제구]종합자료실
4th row[연제구]종합자료실
5th row[연제구]종합자료실

Common Values

ValueCountFrequency (%)
[연제구]종합자료실 1029
60.9%
[연제구]어린이자료실 644
38.1%
[연제구]보존서고 17
 
1.0%

Length

2024-04-21T16:05:05.813234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:06.057590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연제구]종합자료실 1029
60.9%
연제구]어린이자료실 644
38.1%
연제구]보존서고 17
 
1.0%

원부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2021
1690 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 1690
100.0%

Length

2024-04-21T16:05:06.295970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:06.514300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 1690
100.0%

배가일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2021-07-09
1240 
2021-06-23
315 
2021-07-07
135 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-06-23
2nd row2021-06-23
3rd row2021-06-23
4th row2021-06-23
5th row2021-06-23

Common Values

ValueCountFrequency (%)
2021-07-09 1240
73.4%
2021-06-23 315
 
18.6%
2021-07-07 135
 
8.0%

Length

2024-04-21T16:05:06.738431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:05:06.958102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-09 1240
73.4%
2021-06-23 315
 
18.6%
2021-07-07 135
 
8.0%

Interactions

2024-04-21T16:04:50.136804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:04:49.597743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:04:50.350076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T16:04:49.878620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T16:05:07.104001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년이용제한구분자료실배가일
번호1.0000.2390.2150.7330.839
발행년0.2391.0000.0000.2360.236
이용제한구분0.2150.0001.0001.0000.020
자료실0.7330.2361.0001.0000.570
배가일0.8390.2360.0200.5701.000
2024-04-21T16:05:07.295684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실이용제한구분배가일
자료실1.0001.0000.250
이용제한구분1.0001.0000.033
배가일0.2500.0331.000
2024-04-21T16:05:07.451241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년이용제한구분자료실배가일
번호1.0000.4150.1650.5980.748
발행년0.4151.0000.0000.1520.162
이용제한구분0.1650.0001.0001.0000.033
자료실0.5980.1521.0001.0000.250
배가일0.7480.1620.0330.2501.000

Missing values

2024-04-21T16:04:50.600840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:04:50.874214image/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

번호등록번호서명저자발행자발행년청구기호이용제한구분자료실원부년도배가일
01ABN000119166다산의 사람 그릇진규동 지음레몬북스2019151.58-23일반[연제구]종합자료실20212021-06-23
12ABN000119167인공지능의 마지막 공부 : AI에게 철학을 가르치면 어떤 일이 일어날까?오카모토 유이치로 지음 ; 김슬기 옮김유노북스2020401-42일반[연제구]종합자료실20212021-06-23
23ABN000119168나는 왜 엄마가 힘들까 : 나르시시스트 엄마에게 고통받는 딸을 위한 정서적 독립 프로젝트썸머 지음책과이음2020189.24-24=2일반[연제구]종합자료실20212021-06-23
34ABN000119169너 어디에서 왔니이어령 지음파람북2020814.7-825=2일반[연제구]종합자료실20212021-06-23
45ABN000119170또, 괜찮지 않은 연애를 시작했습니다마르니 퓨어맨 지음 ; 이현주 옮김한문화2019182.2-72일반[연제구]종합자료실20212021-06-23
56ABN000119171고독한 나에게스티븐 배철러 지음 ; 이영래 옮김유노북스2020220.4-83일반[연제구]종합자료실20212021-06-23
67ABN000119172살면서 한번은 논어 : 나의 첫 『논어』 읽기이강엽 지음나무를심는사람들2020148.3-44=2일반[연제구]종합자료실20212021-06-23
78ABN000119173삶의 무기가 되는 심리학 : 삶을 획기적으로 변화시킬 50가지 심리 기술레온 빈트샤이트 지음 ; 장혜경 옮김심플라이프2020180-63일반[연제구]종합자료실20212021-06-23
89ABN000119174심리치료실에서 만난 사랑의 환자들 : 사랑과 광기의 12가지 그림자프랭크 탤리스 지음 ; 문희경 옮김어크로스2019186.5-85=2일반[연제구]종합자료실20212021-06-23
910ABN000119175왜 우리는 생각대로 행동하지 않을까 : 철학 높이뛰기지은이: 외르크 베르나르디 ; 그린이: 린다 뵐펠 ; 옮긴이: 이수영시금치2019100-53일반[연제구]종합자료실20212021-06-23
번호등록번호서명저자발행자발행년청구기호이용제한구분자료실원부년도배가일
16801681ABN000129024인도 코르베트 국립공원맨프릿 카울 에덴 글 ; 브라제시 쿠마 그림 ; 노승현 옮김훈민2020그림책 980-10-10일반[연제구]어린이자료실20212021-07-09
16811682ABN000129025잉바르 캄프라드 : 이케아 설립자멀리사 머디나,프레드리크 콜팅 글 ; 조르다노 폴로니 그림 ; 홍연미 옮김다섯수레2021그림책 990-16-4일반[연제구]어린이자료실20212021-07-09
16821683ABN000129026차원이 다른 세계사 : 3D 이미지로 완벽히 되살린 생생한 역사DK 지식백과 편집위원회 지음 ; 강창훈 옮김책과함께어린이2021아동 909-148일반[연제구]어린이자료실20212021-07-09
16831684ABN000129027(상식과 지식의 힘을 키우는) 초등역사 동서양 사건 사전박수미 지음 ; 신동민 그림다락원2021아동 909-149일반[연제구]어린이자료실20212021-07-09
16841685ABN000129028(초등학생을 위한)핵심정리 한국사바오,마리 글 ; 서은경 그림길벗스쿨2021아동 911-268일반[연제구]어린이자료실20212021-07-09
16851686ABN000129029케냐 마사이마라 야생동물 보호구역하프리트 카울 글 ; 카니 브리월 그림 ; 노승현 옮김훈민출판사2015그림책 980-10-1일반[연제구]어린이자료실20212021-07-09
16861687ABN000129030[만화]쿠키런 어드벤처. 44, 이상한 나라의 쿠키들-영화 속 별난 지구송도수 글 ; 서정은 그림서울문화사2021아동 980.24-17-44일반[연제구]어린이자료실20212021-07-09
16871688ABN000129031프랑스 피레네 국립공원맨프릿 카울 에덴 글 ; 댁쉬 샤르마 그림 ; 노승현 옮김훈민2020그림책 980-10-6일반[연제구]어린이자료실20212021-07-09
16881689ABN000129032필 나이트 : 나이키 설립자멀리사 머디나,프레드리크 콜팅 글 ; 요네야마 나쓰코 그림 ; 홍연미 옮김다섯수레2021그림책 990-16-3일반[연제구]어린이자료실20212021-07-09
16891690ABN000129033(하루 한 번)세계 여행 : 방구석에서 만나는 세계지리민병권 글 ; 유영근 그림 ; 이란희 지도 일러스트대원키즈2021아동 001.3-13-2일반[연제구]어린이자료실20212021-07-09