Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells1552
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory947.3 KiB
Average record size in memory97.0 B

Variable types

Text6
Categorical4
Numeric1

Dataset

Description등록번호,도서명,저자,출판사,출판년,청구기호,ISBN,도서상태,소장분관코드,소장분관명,서고명
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-2716/S/1/datasetView.do

Alerts

소장분관코드 is highly overall correlated with 소장분관명 and 1 other fieldsHigh correlation
소장분관명 is highly overall correlated with 소장분관코드 and 1 other fieldsHigh correlation
서고명 is highly overall correlated with 소장분관코드 and 1 other fieldsHigh correlation
도서상태 is highly imbalanced (70.4%)Imbalance
저자 has 160 (1.6%) missing valuesMissing
ISBN has 1360 (13.6%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 08:20:57.793635
Analysis finished2023-12-11 08:21:02.370179
Duration4.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T17:21:02.629715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4291
Min length7

Characters and Unicode

Total characters94291
Distinct characters25
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowGR00000122
2nd rowGM013135
3rd rowG20000007015
4th rowKK00025817
5th rowKK00009326
ValueCountFrequency (%)
gr00000122 1
 
< 0.1%
gm009063 1
 
< 0.1%
kk00010611 1
 
< 0.1%
gm014094 1
 
< 0.1%
kk00024874 1
 
< 0.1%
gm016593 1
 
< 0.1%
gm019788 1
 
< 0.1%
gm013384 1
 
< 0.1%
ge00015525 1
 
< 0.1%
kk00006365 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T17:21:03.180307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33667
35.7%
K 8157
 
8.7%
1 7618
 
8.1%
2 5803
 
6.2%
G 5379
 
5.7%
5 4616
 
4.9%
4 4507
 
4.8%
8 4029
 
4.3%
3 4021
 
4.3%
9 3965
 
4.2%
Other values (15) 12529
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76123
80.7%
Uppercase Letter 18168
 
19.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 8157
44.9%
G 5379
29.6%
M 3067
 
16.9%
E 640
 
3.5%
P 442
 
2.4%
R 272
 
1.5%
S 42
 
0.2%
U 39
 
0.2%
C 35
 
0.2%
J 33
 
0.2%
Other values (5) 62
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 33667
44.2%
1 7618
 
10.0%
2 5803
 
7.6%
5 4616
 
6.1%
4 4507
 
5.9%
8 4029
 
5.3%
3 4021
 
5.3%
9 3965
 
5.2%
6 3952
 
5.2%
7 3945
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
Common 76123
80.7%
Latin 18168
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 8157
44.9%
G 5379
29.6%
M 3067
 
16.9%
E 640
 
3.5%
P 442
 
2.4%
R 272
 
1.5%
S 42
 
0.2%
U 39
 
0.2%
C 35
 
0.2%
J 33
 
0.2%
Other values (5) 62
 
0.3%
Common
ValueCountFrequency (%)
0 33667
44.2%
1 7618
 
10.0%
2 5803
 
7.6%
5 4616
 
6.1%
4 4507
 
5.9%
8 4029
 
5.3%
3 4021
 
5.3%
9 3965
 
5.2%
6 3952
 
5.2%
7 3945
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33667
35.7%
K 8157
 
8.7%
1 7618
 
8.1%
2 5803
 
6.2%
G 5379
 
5.7%
5 4616
 
4.9%
4 4507
 
4.8%
8 4029
 
4.3%
3 4021
 
4.3%
9 3965
 
4.2%
Other values (15) 12529
 
13.3%
Distinct8880
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T17:21:03.624978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length43
Mean length11.1934
Min length1

Characters and Unicode

Total characters111934
Distinct characters1579
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8167 ?
Unique (%)81.7%

Sample

1st rowSERI 전망 2009
2nd row작가가 될 거야!
3rd row양파의 왕따 일기
4th row위기의 한국안보
5th row주몽
ValueCountFrequency (%)
이야기 282
 
1.0%
비디오 155
 
0.6%
녹화자료 153
 
0.6%
우리 133
 
0.5%
129
 
0.5%
the 125
 
0.5%
104
 
0.4%
76
 
0.3%
역사 68
 
0.2%
and 65
 
0.2%
Other values (13820) 26477
95.4%
2023-12-11T17:21:04.299509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17789
 
15.9%
2310
 
2.1%
2033
 
1.8%
) 1636
 
1.5%
( 1628
 
1.5%
1395
 
1.2%
1334
 
1.2%
1237
 
1.1%
1218
 
1.1%
1214
 
1.1%
Other values (1569) 80140
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76705
68.5%
Space Separator 17789
 
15.9%
Lowercase Letter 9221
 
8.2%
Close Punctuation 1854
 
1.7%
Open Punctuation 1846
 
1.6%
Uppercase Letter 1651
 
1.5%
Decimal Number 1454
 
1.3%
Other Punctuation 1222
 
1.1%
Dash Punctuation 94
 
0.1%
Math Symbol 82
 
0.1%
Other values (6) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2310
 
3.0%
2033
 
2.7%
1395
 
1.8%
1334
 
1.7%
1237
 
1.6%
1218
 
1.6%
1214
 
1.6%
1107
 
1.4%
968
 
1.3%
955
 
1.2%
Other values (1472) 62934
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 1088
11.8%
a 781
 
8.5%
o 755
 
8.2%
t 681
 
7.4%
r 661
 
7.2%
s 638
 
6.9%
n 617
 
6.7%
i 601
 
6.5%
h 570
 
6.2%
l 403
 
4.4%
Other values (16) 2426
26.3%
Uppercase Letter
ValueCountFrequency (%)
T 187
 
11.3%
W 181
 
11.0%
S 136
 
8.2%
B 119
 
7.2%
A 110
 
6.7%
C 100
 
6.1%
I 89
 
5.4%
H 84
 
5.1%
M 82
 
5.0%
D 59
 
3.6%
Other values (16) 504
30.5%
Other Punctuation
ValueCountFrequency (%)
? 438
35.8%
! 427
34.9%
. 150
 
12.3%
' 72
 
5.9%
: 49
 
4.0%
15
 
1.2%
& 12
 
1.0%
% 11
 
0.9%
/ 10
 
0.8%
10
 
0.8%
Other values (5) 28
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 401
27.6%
0 300
20.6%
2 206
14.2%
3 126
 
8.7%
5 102
 
7.0%
4 92
 
6.3%
9 88
 
6.1%
6 57
 
3.9%
8 42
 
2.9%
7 40
 
2.8%
Math Symbol
ValueCountFrequency (%)
= 57
69.5%
+ 10
 
12.2%
~ 8
 
9.8%
> 3
 
3.7%
< 3
 
3.7%
1
 
1.2%
Letter Number
ValueCountFrequency (%)
5
71.4%
1
 
14.3%
1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 1636
88.2%
] 218
 
11.8%
Open Punctuation
ValueCountFrequency (%)
( 1628
88.2%
[ 218
 
11.8%
Space Separator
ValueCountFrequency (%)
17789
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Other Number
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75905
67.8%
Common 24350
 
21.8%
Latin 10879
 
9.7%
Han 800
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2310
 
3.0%
2033
 
2.7%
1395
 
1.8%
1334
 
1.8%
1237
 
1.6%
1218
 
1.6%
1214
 
1.6%
1107
 
1.5%
968
 
1.3%
955
 
1.3%
Other values (1183) 62134
81.9%
Han
ValueCountFrequency (%)
23
 
2.9%
22
 
2.8%
17
 
2.1%
16
 
2.0%
15
 
1.9%
13
 
1.6%
12
 
1.5%
11
 
1.4%
11
 
1.4%
11
 
1.4%
Other values (279) 649
81.1%
Latin
ValueCountFrequency (%)
e 1088
 
10.0%
a 781
 
7.2%
o 755
 
6.9%
t 681
 
6.3%
r 661
 
6.1%
s 638
 
5.9%
n 617
 
5.7%
i 601
 
5.5%
h 570
 
5.2%
l 403
 
3.7%
Other values (45) 4084
37.5%
Common
ValueCountFrequency (%)
17789
73.1%
) 1636
 
6.7%
( 1628
 
6.7%
? 438
 
1.8%
! 427
 
1.8%
1 401
 
1.6%
0 300
 
1.2%
[ 218
 
0.9%
] 218
 
0.9%
2 206
 
0.8%
Other values (32) 1089
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75887
67.8%
ASCII 35165
31.4%
CJK 784
 
0.7%
None 47
 
< 0.1%
Compat Jamo 18
 
< 0.1%
CJK Compat Ideographs 16
 
< 0.1%
Number Forms 7
 
< 0.1%
Punctuation 6
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17789
50.6%
) 1636
 
4.7%
( 1628
 
4.6%
e 1088
 
3.1%
a 781
 
2.2%
o 755
 
2.1%
t 681
 
1.9%
r 661
 
1.9%
s 638
 
1.8%
n 617
 
1.8%
Other values (73) 8891
25.3%
Hangul
ValueCountFrequency (%)
2310
 
3.0%
2033
 
2.7%
1395
 
1.8%
1334
 
1.8%
1237
 
1.6%
1218
 
1.6%
1214
 
1.6%
1107
 
1.5%
968
 
1.3%
955
 
1.3%
Other values (1179) 62116
81.9%
CJK
ValueCountFrequency (%)
23
 
2.9%
22
 
2.8%
17
 
2.2%
16
 
2.0%
15
 
1.9%
13
 
1.7%
12
 
1.5%
11
 
1.4%
11
 
1.4%
11
 
1.4%
Other values (268) 633
80.7%
None
ValueCountFrequency (%)
15
31.9%
10
21.3%
9
19.1%
6
 
12.8%
6
 
12.8%
1
 
2.1%
Compat Jamo
ValueCountFrequency (%)
9
50.0%
3
 
16.7%
3
 
16.7%
3
 
16.7%
Number Forms
ValueCountFrequency (%)
5
71.4%
1
 
14.3%
1
 
14.3%
Punctuation
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
2
12.5%
2
12.5%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
1
6.2%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
2
100.0%

저자
Text

MISSING 

Distinct6404
Distinct (%)65.1%
Missing160
Missing (%)1.6%
Memory size156.2 KiB
2023-12-11T17:21:04.792300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length5.5913618
Min length1

Characters and Unicode

Total characters55019
Distinct characters1131
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4950 ?
Unique (%)50.3%

Sample

1st row권순우
2nd row레스터 헬렌
3rd row문선이
4th row허남성
5th row홍석주
ValueCountFrequency (%)
64
 
0.4%
데이비드 46
 
0.3%
편집부 41
 
0.3%
윌리엄 35
 
0.2%
메리 35
 
0.2%
지음 31
 
0.2%
송도수 31
 
0.2%
29
 
0.2%
29
 
0.2%
어즈번 29
 
0.2%
Other values (7725) 14340
97.5%
2023-12-11T17:21:05.478661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4871
 
8.9%
1683
 
3.1%
1168
 
2.1%
986
 
1.8%
984
 
1.8%
e 728
 
1.3%
a 674
 
1.2%
602
 
1.1%
n 577
 
1.0%
r 540
 
1.0%
Other values (1121) 42206
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40609
73.8%
Lowercase Letter 5587
 
10.2%
Space Separator 4871
 
8.9%
Decimal Number 1666
 
3.0%
Uppercase Letter 1547
 
2.8%
Other Punctuation 363
 
0.7%
Dash Punctuation 343
 
0.6%
Close Punctuation 15
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1683
 
4.1%
1168
 
2.9%
986
 
2.4%
984
 
2.4%
602
 
1.5%
517
 
1.3%
489
 
1.2%
444
 
1.1%
439
 
1.1%
399
 
1.0%
Other values (1043) 32898
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 728
13.0%
a 674
12.1%
n 577
10.3%
r 540
9.7%
o 455
 
8.1%
i 394
 
7.1%
l 376
 
6.7%
s 240
 
4.3%
c 195
 
3.5%
y 188
 
3.4%
Other values (16) 1220
21.8%
Uppercase Letter
ValueCountFrequency (%)
B 169
 
10.9%
M 144
 
9.3%
S 141
 
9.1%
C 122
 
7.9%
R 100
 
6.5%
J 97
 
6.3%
L 91
 
5.9%
D 76
 
4.9%
H 75
 
4.8%
A 75
 
4.8%
Other values (15) 457
29.5%
Decimal Number
ValueCountFrequency (%)
1 467
28.0%
9 370
22.2%
6 153
 
9.2%
8 114
 
6.8%
0 105
 
6.3%
4 105
 
6.3%
7 96
 
5.8%
5 93
 
5.6%
3 90
 
5.4%
2 73
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 186
51.2%
/ 145
39.9%
? 13
 
3.6%
& 6
 
1.7%
' 4
 
1.1%
4
 
1.1%
: 2
 
0.6%
; 2
 
0.6%
! 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
[ 8
57.1%
( 6
42.9%
Close Punctuation
ValueCountFrequency (%)
] 8
53.3%
) 7
46.7%
Math Symbol
ValueCountFrequency (%)
> 2
50.0%
< 2
50.0%
Space Separator
ValueCountFrequency (%)
4871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 343
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40108
72.9%
Common 7276
 
13.2%
Latin 7134
 
13.0%
Han 501
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1683
 
4.2%
1168
 
2.9%
986
 
2.5%
984
 
2.5%
602
 
1.5%
517
 
1.3%
489
 
1.2%
444
 
1.1%
439
 
1.1%
399
 
1.0%
Other values (809) 32397
80.8%
Han
ValueCountFrequency (%)
32
 
6.4%
12
 
2.4%
10
 
2.0%
10
 
2.0%
9
 
1.8%
9
 
1.8%
8
 
1.6%
8
 
1.6%
8
 
1.6%
8
 
1.6%
Other values (224) 387
77.2%
Latin
ValueCountFrequency (%)
e 728
 
10.2%
a 674
 
9.4%
n 577
 
8.1%
r 540
 
7.6%
o 455
 
6.4%
i 394
 
5.5%
l 376
 
5.3%
s 240
 
3.4%
c 195
 
2.7%
y 188
 
2.6%
Other values (41) 2767
38.8%
Common
ValueCountFrequency (%)
4871
66.9%
1 467
 
6.4%
9 370
 
5.1%
- 343
 
4.7%
. 186
 
2.6%
6 153
 
2.1%
/ 145
 
2.0%
8 114
 
1.6%
0 105
 
1.4%
4 105
 
1.4%
Other values (17) 417
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40107
72.9%
ASCII 14406
 
26.2%
CJK 485
 
0.9%
CJK Compat Ideographs 16
 
< 0.1%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4871
33.8%
e 728
 
5.1%
a 674
 
4.7%
n 577
 
4.0%
r 540
 
3.7%
1 467
 
3.2%
o 455
 
3.2%
i 394
 
2.7%
l 376
 
2.6%
9 370
 
2.6%
Other values (67) 4954
34.4%
Hangul
ValueCountFrequency (%)
1683
 
4.2%
1168
 
2.9%
986
 
2.5%
984
 
2.5%
602
 
1.5%
517
 
1.3%
489
 
1.2%
444
 
1.1%
439
 
1.1%
399
 
1.0%
Other values (808) 32396
80.8%
CJK
ValueCountFrequency (%)
32
 
6.6%
12
 
2.5%
10
 
2.1%
9
 
1.9%
9
 
1.9%
8
 
1.6%
8
 
1.6%
8
 
1.6%
8
 
1.6%
7
 
1.4%
Other values (218) 374
77.1%
CJK Compat Ideographs
ValueCountFrequency (%)
10
62.5%
2
 
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
None
ValueCountFrequency (%)
4
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct2095
Distinct (%)21.0%
Missing32
Missing (%)0.3%
Memory size156.2 KiB
2023-12-11T17:21:05.846744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length4.6020265
Min length1

Characters and Unicode

Total characters45873
Distinct characters776
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1071 ?
Unique (%)10.7%

Sample

1st row삼성경제연구소
2nd row보물창고
3rd row파랑새어린이
4th row플래닛미디어
5th row황금나침반
ValueCountFrequency (%)
비룡소 347
 
3.3%
아이세움 178
 
1.7%
예림당 142
 
1.3%
창비 142
 
1.3%
시공주니어 137
 
1.3%
문학동네 131
 
1.2%
김영사 127
 
1.2%
사계절 119
 
1.1%
웅진주니어 108
 
1.0%
시공사 105
 
1.0%
Other values (2137) 9077
85.5%
2023-12-11T17:21:06.423321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1768
 
3.9%
1241
 
2.7%
1113
 
2.4%
944
 
2.1%
777
 
1.7%
709
 
1.5%
688
 
1.5%
652
 
1.4%
645
 
1.4%
625
 
1.4%
Other values (766) 36711
80.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38236
83.4%
Lowercase Letter 4916
 
10.7%
Uppercase Letter 1700
 
3.7%
Space Separator 645
 
1.4%
Decimal Number 131
 
0.3%
Other Punctuation 125
 
0.3%
Open Punctuation 58
 
0.1%
Close Punctuation 58
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1768
 
4.6%
1241
 
3.2%
1113
 
2.9%
944
 
2.5%
777
 
2.0%
709
 
1.9%
688
 
1.8%
652
 
1.7%
625
 
1.6%
565
 
1.5%
Other values (690) 29154
76.2%
Uppercase Letter
ValueCountFrequency (%)
B 185
 
10.9%
H 176
 
10.4%
M 165
 
9.7%
C 106
 
6.2%
P 105
 
6.2%
G 105
 
6.2%
S 103
 
6.1%
O 83
 
4.9%
T 79
 
4.6%
R 69
 
4.1%
Other values (15) 524
30.8%
Lowercase Letter
ValueCountFrequency (%)
o 586
11.9%
s 467
 
9.5%
a 449
 
9.1%
e 448
 
9.1%
r 422
 
8.6%
n 347
 
7.1%
l 318
 
6.5%
i 316
 
6.4%
t 194
 
3.9%
c 190
 
3.9%
Other values (14) 1179
24.0%
Other Punctuation
ValueCountFrequency (%)
& 57
45.6%
28
22.4%
. 13
 
10.4%
' 12
 
9.6%
@ 3
 
2.4%
3
 
2.4%
? 3
 
2.4%
: 2
 
1.6%
/ 1
 
0.8%
1
 
0.8%
Other values (2) 2
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 60
45.8%
1 56
42.7%
0 8
 
6.1%
9 2
 
1.5%
8 1
 
0.8%
5 1
 
0.8%
6 1
 
0.8%
3 1
 
0.8%
4 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
[ 33
56.9%
( 25
43.1%
Close Punctuation
ValueCountFrequency (%)
] 33
56.9%
) 25
43.1%
Space Separator
ValueCountFrequency (%)
645
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37783
82.4%
Latin 6616
 
14.4%
Common 1021
 
2.2%
Han 453
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1768
 
4.7%
1241
 
3.3%
1113
 
2.9%
944
 
2.5%
777
 
2.1%
709
 
1.9%
688
 
1.8%
652
 
1.7%
625
 
1.7%
565
 
1.5%
Other values (564) 28701
76.0%
Han
ValueCountFrequency (%)
53
 
11.7%
25
 
5.5%
20
 
4.4%
17
 
3.8%
14
 
3.1%
14
 
3.1%
13
 
2.9%
12
 
2.6%
11
 
2.4%
11
 
2.4%
Other values (116) 263
58.1%
Latin
ValueCountFrequency (%)
o 586
 
8.9%
s 467
 
7.1%
a 449
 
6.8%
e 448
 
6.8%
r 422
 
6.4%
n 347
 
5.2%
l 318
 
4.8%
i 316
 
4.8%
t 194
 
2.9%
c 190
 
2.9%
Other values (39) 2879
43.5%
Common
ValueCountFrequency (%)
645
63.2%
2 60
 
5.9%
& 57
 
5.6%
1 56
 
5.5%
[ 33
 
3.2%
] 33
 
3.2%
28
 
2.7%
( 25
 
2.4%
) 25
 
2.4%
. 13
 
1.3%
Other values (17) 46
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37783
82.4%
ASCII 7604
 
16.6%
CJK 453
 
1.0%
None 33
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1768
 
4.7%
1241
 
3.3%
1113
 
2.9%
944
 
2.5%
777
 
2.1%
709
 
1.9%
688
 
1.8%
652
 
1.7%
625
 
1.7%
565
 
1.5%
Other values (564) 28701
76.0%
ASCII
ValueCountFrequency (%)
645
 
8.5%
o 586
 
7.7%
s 467
 
6.1%
a 449
 
5.9%
e 448
 
5.9%
r 422
 
5.5%
n 347
 
4.6%
l 318
 
4.2%
i 316
 
4.2%
t 194
 
2.6%
Other values (62) 3412
44.9%
CJK
ValueCountFrequency (%)
53
 
11.7%
25
 
5.5%
20
 
4.4%
17
 
3.8%
14
 
3.1%
14
 
3.1%
13
 
2.9%
12
 
2.6%
11
 
2.4%
11
 
2.4%
Other values (116) 263
58.1%
None
ValueCountFrequency (%)
28
84.8%
3
 
9.1%
1
 
3.0%
1
 
3.0%

출판년
Categorical

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2010
1354 
2006
1191 
2008
1118 
2007
966 
2009
912 
Other values (44)
4459 

Length

Max length5
Median length5
Mean length4.9875
Min length4

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row2008
2nd row2009
3rd row2001
4th row2012
5th row2006

Common Values

ValueCountFrequency (%)
2010 1354
13.5%
2006 1191
11.9%
2008 1118
11.2%
2007 966
9.7%
2009 912
9.1%
2011 807
8.1%
2012 745
7.4%
2005 594
 
5.9%
2004 434
 
4.3%
2013 285
 
2.9%
Other values (39) 1594
15.9%

Length

2023-12-11T17:21:06.597863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2010 1354
13.5%
2006 1191
11.9%
2008 1118
11.2%
2007 966
9.7%
2009 912
9.1%
2011 807
8.1%
2012 745
7.4%
2005 594
 
5.9%
2004 434
 
4.3%
2013 285
 
2.9%
Other values (39) 1594
15.9%
Distinct9855
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T17:21:07.021212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length14.6922
Min length3

Characters and Unicode

Total characters146922
Distinct characters656
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9750 ?
Unique (%)97.5%

Sample

1st rowGR 321.97 권56ㅅ
2nd row아동 808.91 이62ㅍ v.14 v.14
3rd row813 문54ㅇ
4th row390.911 위18ㅍ
5th row813.6 최65ㅈ 3 3
ValueCountFrequency (%)
아동 1568
 
4.4%
1565
 
4.4%
2 1034
 
2.9%
유아 914
 
2.6%
843 527
 
1.5%
c.2 526
 
1.5%
813.8 499
 
1.4%
469
 
1.3%
808.91 463
 
1.3%
1 438
 
1.2%
Other values (7669) 27552
77.5%
2023-12-11T17:21:07.649036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25555
17.4%
8 12370
 
8.4%
1 10607
 
7.2%
. 10502
 
7.1%
2 8895
 
6.1%
3 8774
 
6.0%
4 7350
 
5.0%
9 6489
 
4.4%
5 5897
 
4.0%
7 5518
 
3.8%
Other values (646) 44965
30.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76108
51.8%
Other Letter 25697
 
17.5%
Space Separator 25555
 
17.4%
Other Punctuation 10504
 
7.1%
Lowercase Letter 5263
 
3.6%
Uppercase Letter 2869
 
2.0%
Dash Punctuation 915
 
0.6%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4201
 
16.3%
1754
 
6.8%
1585
 
6.2%
1476
 
5.7%
1082
 
4.2%
915
 
3.6%
842
 
3.3%
659
 
2.6%
651
 
2.5%
640
 
2.5%
Other values (580) 11892
46.3%
Uppercase Letter
ValueCountFrequency (%)
E 556
19.4%
J 540
18.8%
B 287
10.0%
U 244
8.5%
D 244
8.5%
V 229
8.0%
S 118
 
4.1%
R 93
 
3.2%
M 84
 
2.9%
G 81
 
2.8%
Other values (15) 393
13.7%
Lowercase Letter
ValueCountFrequency (%)
v 4164
79.1%
c 628
 
11.9%
m 106
 
2.0%
h 41
 
0.8%
r 34
 
0.6%
l 34
 
0.6%
t 32
 
0.6%
b 30
 
0.6%
p 26
 
0.5%
i 24
 
0.5%
Other values (13) 144
 
2.7%
Decimal Number
ValueCountFrequency (%)
8 12370
16.3%
1 10607
13.9%
2 8895
11.7%
3 8774
11.5%
4 7350
9.7%
9 6489
8.5%
5 5897
7.7%
7 5518
7.3%
6 5379
7.1%
0 4829
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 10502
> 99.9%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
25555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 915
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113093
77.0%
Hangul 25697
 
17.5%
Latin 8132
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4201
 
16.3%
1754
 
6.8%
1585
 
6.2%
1476
 
5.7%
1082
 
4.2%
915
 
3.6%
842
 
3.3%
659
 
2.6%
651
 
2.5%
640
 
2.5%
Other values (580) 11892
46.3%
Latin
ValueCountFrequency (%)
v 4164
51.2%
c 628
 
7.7%
E 556
 
6.8%
J 540
 
6.6%
B 287
 
3.5%
U 244
 
3.0%
D 244
 
3.0%
V 229
 
2.8%
S 118
 
1.5%
m 106
 
1.3%
Other values (38) 1016
 
12.5%
Common
ValueCountFrequency (%)
25555
22.6%
8 12370
10.9%
1 10607
9.4%
. 10502
9.3%
2 8895
 
7.9%
3 8774
 
7.8%
4 7350
 
6.5%
9 6489
 
5.7%
5 5897
 
5.2%
7 5518
 
4.9%
Other values (8) 11136
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121224
82.5%
Hangul 17180
 
11.7%
Compat Jamo 8517
 
5.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25555
21.1%
8 12370
10.2%
1 10607
8.7%
. 10502
8.7%
2 8895
 
7.3%
3 8774
 
7.2%
4 7350
 
6.1%
9 6489
 
5.4%
5 5897
 
4.9%
7 5518
 
4.6%
Other values (55) 19267
15.9%
Hangul
ValueCountFrequency (%)
4201
24.5%
1585
 
9.2%
1476
 
8.6%
659
 
3.8%
651
 
3.8%
293
 
1.7%
210
 
1.2%
169
 
1.0%
161
 
0.9%
154
 
0.9%
Other values (561) 7621
44.4%
Compat Jamo
ValueCountFrequency (%)
1754
20.6%
1082
12.7%
915
10.7%
842
9.9%
640
 
7.5%
584
 
6.9%
535
 
6.3%
507
 
6.0%
393
 
4.6%
311
 
3.7%
Other values (9) 954
11.2%
None
ValueCountFrequency (%)
1
100.0%

ISBN
Text

MISSING 

Distinct8117
Distinct (%)93.9%
Missing1360
Missing (%)13.6%
Memory size156.2 KiB
2023-12-11T17:21:08.207814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length12.498611
Min length4

Characters and Unicode

Total characters107988
Distinct characters23
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7729 ?
Unique (%)89.5%

Sample

1st row9788976333896
2nd row9788961700764
3rd row9788997094110
4th row8991949916
5th row9788991215481
ValueCountFrequency (%)
9788937841163(세트 18
 
0.2%
세트 13
 
0.1%
9788954833394(세트 11
 
0.1%
9788954843010(세트 10
 
0.1%
8958129956(세트 10
 
0.1%
9788966451593(세트 10
 
0.1%
9781405253550(세트 10
 
0.1%
9788965094463(세트 9
 
0.1%
9788992886680(세트 9
 
0.1%
9781405233026(세트 7
 
0.1%
Other values (8127) 8568
98.8%
2023-12-11T17:21:08.678014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 21772
20.2%
8 20893
19.3%
7 12535
11.6%
0 8411
 
7.8%
4 7475
 
6.9%
1 7338
 
6.8%
5 7244
 
6.7%
3 7002
 
6.5%
2 6980
 
6.5%
6 6183
 
5.7%
Other values (13) 2155
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105833
98.0%
Other Letter 636
 
0.6%
Open Punctuation 512
 
0.5%
Close Punctuation 512
 
0.5%
Lowercase Letter 185
 
0.2%
Uppercase Letter 135
 
0.1%
Other Punctuation 130
 
0.1%
Space Separator 35
 
< 0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 21772
20.6%
8 20893
19.7%
7 12535
11.8%
0 8411
 
7.9%
4 7475
 
7.1%
1 7338
 
6.9%
5 7244
 
6.8%
3 7002
 
6.6%
2 6980
 
6.6%
6 6183
 
5.8%
Other Letter
ValueCountFrequency (%)
317
49.8%
317
49.8%
1
 
0.2%
1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
v 127
68.6%
x 58
31.4%
Other Punctuation
ValueCountFrequency (%)
. 127
97.7%
: 3
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 512
100.0%
Close Punctuation
ValueCountFrequency (%)
) 512
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 135
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107032
99.1%
Hangul 636
 
0.6%
Latin 320
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
9 21772
20.3%
8 20893
19.5%
7 12535
11.7%
0 8411
 
7.9%
4 7475
 
7.0%
1 7338
 
6.9%
5 7244
 
6.8%
3 7002
 
6.5%
2 6980
 
6.5%
6 6183
 
5.8%
Other values (6) 1199
 
1.1%
Hangul
ValueCountFrequency (%)
317
49.8%
317
49.8%
1
 
0.2%
1
 
0.2%
Latin
ValueCountFrequency (%)
X 135
42.2%
v 127
39.7%
x 58
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107352
99.4%
Hangul 636
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 21772
20.3%
8 20893
19.5%
7 12535
11.7%
0 8411
 
7.8%
4 7475
 
7.0%
1 7338
 
6.8%
5 7244
 
6.7%
3 7002
 
6.5%
2 6980
 
6.5%
6 6183
 
5.8%
Other values (9) 1519
 
1.4%
Hangul
ValueCountFrequency (%)
317
49.8%
317
49.8%
1
 
0.2%
1
 
0.2%

도서상태
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대출가능
7747 
대출불가
 
664
대출중
 
634
정리중
 
401
제적준비중
 
316
Other values (18)
 
238

Length

Max length12
Median length10
Mean length9.9505
Min length3

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row대출불가
2nd row대출가능
3rd row정리중
4th row대출가능
5th row대출가능

Common Values

ValueCountFrequency (%)
대출가능 7747
77.5%
대출불가 664
 
6.6%
대출중 634
 
6.3%
정리중 401
 
4.0%
제적준비중 316
 
3.2%
제적 92
 
0.9%
소재불명 40
 
0.4%
상호대차(대출중) 27
 
0.3%
폐가서고(반납) 20
 
0.2%
상호대차(반송중) 16
 
0.2%
Other values (13) 43
 
0.4%

Length

2023-12-11T17:21:08.826936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대출가능 7747
77.4%
대출불가 664
 
6.6%
대출중 634
 
6.3%
정리중 401
 
4.0%
제적준비중 316
 
3.2%
제적 92
 
0.9%
소재불명 40
 
0.4%
상호대차(대출중 27
 
0.3%
폐가서고(반납 20
 
0.2%
상호대차(반송중 16
 
0.2%
Other values (15) 56
 
0.6%

소장분관코드
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.7701
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T17:21:08.949682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q128
median31
Q336
95-th percentile36
Maximum37
Range36
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2164169
Coefficient of variation (CV)0.32034706
Kurtosis1.7211148
Mean28.7701
Median Absolute Deviation (MAD)5
Skewness-1.7069528
Sum287701
Variance84.94234
MonotonicityNot monotonic
2023-12-11T17:21:09.079367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
31 4051
40.5%
36 3067
30.7%
7 727
 
7.3%
28 639
 
6.4%
5 414
 
4.1%
24 396
 
4.0%
23 267
 
2.7%
35 221
 
2.2%
25 35
 
0.4%
1 29
 
0.3%
Other values (18) 154
 
1.5%
ValueCountFrequency (%)
1 29
 
0.3%
3 15
 
0.1%
4 9
 
0.1%
5 414
4.1%
6 3
 
< 0.1%
7 727
7.3%
8 29
 
0.3%
11 5
 
0.1%
12 7
 
0.1%
13 9
 
0.1%
ValueCountFrequency (%)
37 1
 
< 0.1%
36 3067
30.7%
35 221
 
2.2%
34 8
 
0.1%
32 3
 
< 0.1%
31 4051
40.5%
29 8
 
0.1%
28 639
 
6.4%
27 9
 
0.1%
26 4
 
< 0.1%

소장분관명
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
꿈마을도서관
4051 
글마루한옥어린이도서관
3067 
구로4동문고
727 
구로초구립주민전용도서관
639 
구로2동문고
414 
Other values (23)
1102 

Length

Max length12
Median length6
Mean length7.9996
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row구로구청행정자료실
2nd row글마루한옥어린이도서관
3rd row구로2동문고
4th row꿈마을도서관
5th row꿈마을도서관

Common Values

ValueCountFrequency (%)
꿈마을도서관 4051
40.5%
글마루한옥어린이도서관 3067
30.7%
구로4동문고 727
 
7.3%
구로초구립주민전용도서관 639
 
6.4%
구로2동문고 414
 
4.1%
우신고도서관 396
 
4.0%
구로구청행정자료실 267
 
2.7%
개봉도서관 221
 
2.2%
고척교회어린이도서관 35
 
0.4%
구로꿈나무도서관 29
 
0.3%
Other values (18) 154
 
1.5%

Length

2023-12-11T17:21:09.236938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
꿈마을도서관 4051
40.5%
글마루한옥어린이도서관 3067
30.7%
구로4동문고 727
 
7.3%
구로초구립주민전용도서관 639
 
6.4%
구로2동문고 414
 
4.1%
우신고도서관 396
 
4.0%
구로구청행정자료실 267
 
2.7%
개봉도서관 221
 
2.2%
고척교회어린이도서관 35
 
0.4%
구로꿈나무도서관 29
 
0.3%
Other values (18) 154
 
1.5%

서고명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아동자료실
2860 
일반자료실
2770 
유아자료실
1496 
아동서가
635 
임시자료실
411 
Other values (22)
1828 

Length

Max length10
Median length5
Mean length5.0959
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row자료실(일반)
2nd row아동자료실
3rd row임시자료실
4th row일반자료실
5th row일반자료실

Common Values

ValueCountFrequency (%)
아동자료실 2860
28.6%
일반자료실 2770
27.7%
유아자료실 1496
15.0%
아동서가 635
 
6.3%
임시자료실 411
 
4.1%
아동-책장 369
 
3.7%
자료실(일반) 262
 
2.6%
그림책-책장 258
 
2.6%
우수회원 전용 서가 253
 
2.5%
일반서고 219
 
2.2%
Other values (17) 467
 
4.7%

Length

2023-12-11T17:21:09.405939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동자료실 2860
27.0%
일반자료실 2770
26.1%
유아자료실 1496
14.1%
아동서가 635
 
6.0%
임시자료실 411
 
3.9%
아동-책장 369
 
3.5%
자료실(일반 262
 
2.5%
그림책-책장 258
 
2.4%
우수회원 253
 
2.4%
전용 253
 
2.4%
Other values (19) 1031
 
9.7%

Interactions

2023-12-11T17:21:01.623357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T17:21:09.524007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년도서상태소장분관코드소장분관명서고명
출판년1.0000.4960.6040.6770.755
도서상태0.4961.0000.7050.7720.767
소장분관코드0.6040.7051.0001.0000.933
소장분관명0.6770.7721.0001.0000.968
서고명0.7550.7670.9330.9681.000
2023-12-11T17:21:09.626936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장분관명도서상태서고명출판년
소장분관명1.0000.3010.6610.197
도서상태0.3011.0000.2990.133
서고명0.6610.2991.0000.248
출판년0.1970.1330.2481.000
2023-12-11T17:21:09.739258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소장분관코드출판년도서상태소장분관명서고명
소장분관코드1.0000.2570.3480.9990.696
출판년0.2571.0000.1330.1970.248
도서상태0.3480.1331.0000.3010.299
소장분관명0.9990.1970.3011.0000.661
서고명0.6960.2480.2990.6611.000

Missing values

2023-12-11T17:21:01.831815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T17:21:02.069258image/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.
2023-12-11T17:21:02.268552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

등록번호도서명저자출판사출판년청구기호ISBN도서상태소장분관코드소장분관명서고명
61812GR00000122SERI 전망 2009권순우삼성경제연구소2008GR 321.97 권56ㅅ9788976333896대출불가23구로구청행정자료실자료실(일반)
43251GM013135작가가 될 거야!레스터 헬렌보물창고2009아동 808.91 이62ㅍ v.14 v.149788961700764대출가능36글마루한옥어린이도서관아동자료실
65147G20000007015양파의 왕따 일기문선이파랑새어린이2001813 문54ㅇ<NA>정리중5구로2동문고임시자료실
16081KK00025817위기의 한국안보허남성플래닛미디어2012390.911 위18ㅍ9788997094110대출가능31꿈마을도서관일반자료실
7070KK00009326주몽홍석주황금나침반2006813.6 최65ㅈ 3 38991949916대출가능31꿈마을도서관일반자료실
35534GM014114(교과서 속) 국보 따라잡기박상래이치2008911 박52ㄱ 1 v19788991215481대출가능36글마루한옥어린이도서관일반자료실
49816GM003569나도 잘할 수 있어!오키이페 수잔 헤이보어비룡소2006유아 181.7 마67ㅂ 17 v.17 c.28949131072대출가능36글마루한옥어린이도서관유아자료실
42833GM012521(어린이를 위한) 한국의 풍속박영수영교출판2009아동 911 배66ㅇ 4 v.49788983894502대출중36글마루한옥어린이도서관아동자료실
10689KK00017111빌 브라이슨 발칙한 미국학브라이슨 빌21세기북스2009848 브292ㅂ c.29788950917364대출가능31꿈마을도서관일반자료실
54177GM017547우리 몸에서 무슨 일이 일어나고 있을까?스튜어트 데이비드파랑새2009유아 408 어34ㅍ 2 29788961550758대출가능36글마루한옥어린이도서관유아자료실
등록번호도서명저자출판사출판년청구기호ISBN도서상태소장분관코드소장분관명서고명
61565P001642재키 브라운 [비디오녹화자료]쿠엔틴 타란티노에이스필름 [제작]2011DV 688.24 재878<NA>대출불가24우신고도서관우수회원 전용 서가
49376KK00021352(위인들이 자신의 재능을 발견한)결정적 순간황근기글담어린이2010아 199.1 황17ㄱ9788993870077대출가능31꿈마을도서관아동자료실
55581G40000051672조웅전이명랑창비2005811 구68ㅈ<NA>대출가능7구로4동문고아동-책장
7350KK00009615요리는 사랑이다용동희위즈온2007594.5 용25ㅇ9788995882504대출가능31꿈마을도서관일반자료실
30761GE00003381호기심해결넷김미자글동산1999아 370 김38ㅎ v.4<NA>대출가능28구로초구립주민전용도서관아동서가
11224KK00018211왜 자기주도학습일까서상훈지상사2009373.4 서52ㅇ9788990994912대출가능31꿈마을도서관일반자료실
25850KK00024216미안해 고마워신정민파란자전거2011아 813.8 신74ㅁ c.29788994258232대출가능31꿈마을도서관아동자료실
36015GM001898(교과서에 나오는) 유네스코 세계 문화유산이형준시공사2009아동 980.2 이94ㅇ8952756479대출가능36글마루한옥어린이도서관아동자료실
22277KK00011115개미집에 놀러 와요묄러 안네토마토하우스2008아 495 묄294ㄱ9788992089333대출가능31꿈마을도서관아동자료실
6501KK00008658큰발 중국 아가씨나미오카 렌세이달리2006843 나38ㅋ8990364981대출가능31꿈마을도서관일반자료실