Overview

Dataset statistics

Number of variables8
Number of observations1161
Missing cells937
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.0 KiB
Average record size in memory66.1 B

Variable types

Numeric2
Text3
DateTime3

Dataset

Description경기도 광주시 도서관에서 추천한 도서의 관한 정보에 대한 데이터로 제목, 저자, 발행자, 등록날, 수정날, 추천년도 등을 제공합니다.
URLhttps://www.data.go.kr/data/15036887/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 추천년High correlation
추천년 is highly overall correlated with 연번High correlation
발행자 has 134 (11.5%) missing valuesMissing
수정날 has 793 (68.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:07:43.715706
Analysis finished2023-12-12 05:07:45.740435
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean581
Minimum1
Maximum1161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-12T14:07:45.841085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59
Q1291
median581
Q3871
95-th percentile1103
Maximum1161
Range1160
Interquartile range (IQR)580

Descriptive statistics

Standard deviation335.29614
Coefficient of variation (CV)0.57710179
Kurtosis-1.2
Mean581
Median Absolute Deviation (MAD)290
Skewness0
Sum674541
Variance112423.5
MonotonicityStrictly increasing
2023-12-12T14:07:46.036580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
799 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
774 1
 
0.1%
773 1
 
0.1%
772 1
 
0.1%
Other values (1151) 1151
99.1%
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 (%)
1161 1
0.1%
1160 1
0.1%
1159 1
0.1%
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%
1155 1
0.1%
1154 1
0.1%
1153 1
0.1%
1152 1
0.1%

제목
Text

Distinct1149
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-12T14:07:46.472978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length34
Mean length12.572782
Min length1

Characters and Unicode

Total characters14597
Distinct characters824
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1137 ?
Unique (%)97.9%

Sample

1st row헨리의 자유상자
2nd row도시에 사는 우리 할머니
3rd row사계절
4th row프로작가의 탐나는 글쓰기
5th row풀꽃도 꽃이다 1, 2
ValueCountFrequency (%)
시립 136
 
3.6%
실촌 40
 
1.0%
나는 28
 
0.7%
이야기 25
 
0.7%
23
 
0.6%
오포 23
 
0.6%
18
 
0.5%
곤지암 17
 
0.4%
우리 17
 
0.4%
역사 13
 
0.3%
Other values (2606) 3483
91.1%
2023-12-12T14:07:47.067618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2672
 
18.3%
[ 420
 
2.9%
] 420
 
2.9%
313
 
2.1%
286
 
2.0%
253
 
1.7%
233
 
1.6%
231
 
1.6%
175
 
1.2%
173
 
1.2%
Other values (814) 9421
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10676
73.1%
Space Separator 2672
 
18.3%
Open Punctuation 447
 
3.1%
Close Punctuation 447
 
3.1%
Other Punctuation 162
 
1.1%
Decimal Number 146
 
1.0%
Lowercase Letter 23
 
0.2%
Uppercase Letter 19
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
313
 
2.9%
286
 
2.7%
253
 
2.4%
233
 
2.2%
231
 
2.2%
175
 
1.6%
173
 
1.6%
157
 
1.5%
149
 
1.4%
147
 
1.4%
Other values (766) 8559
80.2%
Lowercase Letter
ValueCountFrequency (%)
i 4
17.4%
o 4
17.4%
n 3
13.0%
e 3
13.0%
s 2
8.7%
c 1
 
4.3%
d 1
 
4.3%
t 1
 
4.3%
u 1
 
4.3%
l 1
 
4.3%
Other values (2) 2
8.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
31.6%
T 2
 
10.5%
D 2
 
10.5%
A 2
 
10.5%
O 1
 
5.3%
G 1
 
5.3%
Q 1
 
5.3%
Z 1
 
5.3%
N 1
 
5.3%
P 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 37
25.3%
0 31
21.2%
2 20
13.7%
4 13
 
8.9%
5 10
 
6.8%
8 9
 
6.2%
3 9
 
6.2%
7 9
 
6.2%
6 5
 
3.4%
9 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 57
35.2%
? 34
21.0%
: 32
19.8%
! 27
16.7%
. 9
 
5.6%
& 1
 
0.6%
# 1
 
0.6%
; 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
[ 420
94.0%
( 27
 
6.0%
Close Punctuation
ValueCountFrequency (%)
] 420
94.0%
) 27
 
6.0%
Space Separator
ValueCountFrequency (%)
2672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10675
73.1%
Common 3879
 
26.6%
Latin 42
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
313
 
2.9%
286
 
2.7%
253
 
2.4%
233
 
2.2%
231
 
2.2%
175
 
1.6%
173
 
1.6%
157
 
1.5%
149
 
1.4%
147
 
1.4%
Other values (765) 8558
80.2%
Common
ValueCountFrequency (%)
2672
68.9%
[ 420
 
10.8%
] 420
 
10.8%
, 57
 
1.5%
1 37
 
1.0%
? 34
 
0.9%
: 32
 
0.8%
0 31
 
0.8%
( 27
 
0.7%
) 27
 
0.7%
Other values (15) 122
 
3.1%
Latin
ValueCountFrequency (%)
S 6
14.3%
i 4
 
9.5%
o 4
 
9.5%
n 3
 
7.1%
e 3
 
7.1%
T 2
 
4.8%
s 2
 
4.8%
D 2
 
4.8%
A 2
 
4.8%
O 1
 
2.4%
Other values (13) 13
31.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10675
73.1%
ASCII 3921
 
26.9%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2672
68.1%
[ 420
 
10.7%
] 420
 
10.7%
, 57
 
1.5%
1 37
 
0.9%
? 34
 
0.9%
: 32
 
0.8%
0 31
 
0.8%
( 27
 
0.7%
) 27
 
0.7%
Other values (38) 164
 
4.2%
Hangul
ValueCountFrequency (%)
313
 
2.9%
286
 
2.7%
253
 
2.4%
233
 
2.2%
231
 
2.2%
175
 
1.6%
173
 
1.6%
157
 
1.5%
149
 
1.4%
147
 
1.4%
Other values (765) 8558
80.2%
CJK
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct1046
Distinct (%)90.2%
Missing1
Missing (%)0.1%
Memory size9.2 KiB
2023-12-12T14:07:47.430593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length5.0215517
Min length1

Characters and Unicode

Total characters5825
Distinct characters528
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

Unique953 ?
Unique (%)82.2%

Sample

1st row엘린 레빈
2nd row로렌 카스티요
3rd row퍼트리샤 헤가티
4th row박경덕
5th row조정래
ValueCountFrequency (%)
29
 
1.6%
그림 13
 
0.7%
13
 
0.7%
마이클 9
 
0.5%
8
 
0.4%
박완서 7
 
0.4%
브라운 6
 
0.3%
데이비드 6
 
0.3%
사라 5
 
0.3%
황선미 5
 
0.3%
Other values (1469) 1681
94.3%
2023-12-12T14:07:47.954417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
631
 
10.8%
209
 
3.6%
149
 
2.6%
132
 
2.3%
113
 
1.9%
88
 
1.5%
82
 
1.4%
80
 
1.4%
63
 
1.1%
60
 
1.0%
Other values (518) 4218
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5078
87.2%
Space Separator 631
 
10.8%
Other Punctuation 78
 
1.3%
Uppercase Letter 25
 
0.4%
Decimal Number 9
 
0.2%
Dash Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
209
 
4.1%
149
 
2.9%
132
 
2.6%
113
 
2.2%
88
 
1.7%
82
 
1.6%
80
 
1.6%
63
 
1.2%
60
 
1.2%
55
 
1.1%
Other values (487) 4047
79.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
16.0%
J 4
16.0%
E 3
12.0%
B 3
12.0%
R 3
12.0%
K 2
8.0%
D 1
 
4.0%
L 1
 
4.0%
M 1
 
4.0%
T 1
 
4.0%
Other values (2) 2
8.0%
Other Punctuation
ValueCountFrequency (%)
, 53
67.9%
. 14
 
17.9%
; 3
 
3.8%
· 3
 
3.8%
' 2
 
2.6%
/ 1
 
1.3%
# 1
 
1.3%
& 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
5 2
22.2%
2 2
22.2%
1 1
11.1%
0 1
11.1%
3 1
11.1%
7 1
11.1%
6 1
11.1%
Space Separator
ValueCountFrequency (%)
631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5078
87.2%
Common 722
 
12.4%
Latin 25
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
209
 
4.1%
149
 
2.9%
132
 
2.6%
113
 
2.2%
88
 
1.7%
82
 
1.6%
80
 
1.6%
63
 
1.2%
60
 
1.2%
55
 
1.1%
Other values (487) 4047
79.7%
Common
ValueCountFrequency (%)
631
87.4%
, 53
 
7.3%
. 14
 
1.9%
; 3
 
0.4%
· 3
 
0.4%
' 2
 
0.3%
- 2
 
0.3%
5 2
 
0.3%
2 2
 
0.3%
( 1
 
0.1%
Other values (9) 9
 
1.2%
Latin
ValueCountFrequency (%)
S 4
16.0%
J 4
16.0%
E 3
12.0%
B 3
12.0%
R 3
12.0%
K 2
8.0%
D 1
 
4.0%
L 1
 
4.0%
M 1
 
4.0%
T 1
 
4.0%
Other values (2) 2
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5078
87.2%
ASCII 744
 
12.8%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
631
84.8%
, 53
 
7.1%
. 14
 
1.9%
S 4
 
0.5%
J 4
 
0.5%
E 3
 
0.4%
B 3
 
0.4%
; 3
 
0.4%
R 3
 
0.4%
' 2
 
0.3%
Other values (20) 24
 
3.2%
Hangul
ValueCountFrequency (%)
209
 
4.1%
149
 
2.9%
132
 
2.6%
113
 
2.2%
88
 
1.7%
82
 
1.6%
80
 
1.6%
63
 
1.2%
60
 
1.2%
55
 
1.1%
Other values (487) 4047
79.7%
None
ValueCountFrequency (%)
· 3
100.0%

발행자
Text

MISSING 

Distinct515
Distinct (%)50.1%
Missing134
Missing (%)11.5%
Memory size9.2 KiB
2023-12-12T14:07:48.303341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.0379747
Min length1

Characters and Unicode

Total characters4147
Distinct characters406
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)33.0%

Sample

1st row뜨인돌어린이
2nd row재능교육
3rd row키즈엠
4th row더퀘스트
5th row해냄
ValueCountFrequency (%)
창비 28
 
2.7%
문학동네 25
 
2.4%
사계절 23
 
2.2%
21세기북스 20
 
1.9%
비룡소 19
 
1.8%
책읽는곰 15
 
1.4%
웅진주니어 14
 
1.3%
시공주니어 14
 
1.3%
주니어김영사 11
 
1.1%
은행나무 10
 
1.0%
Other values (518) 863
82.8%
2023-12-12T14:07:48.807058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
3.6%
135
 
3.3%
130
 
3.1%
128
 
3.1%
112
 
2.7%
79
 
1.9%
73
 
1.8%
65
 
1.6%
64
 
1.5%
60
 
1.4%
Other values (396) 3150
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4008
96.6%
Decimal Number 53
 
1.3%
Uppercase Letter 53
 
1.3%
Space Separator 16
 
0.4%
Lowercase Letter 13
 
0.3%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
151
 
3.8%
135
 
3.4%
130
 
3.2%
128
 
3.2%
112
 
2.8%
79
 
2.0%
73
 
1.8%
65
 
1.6%
64
 
1.6%
60
 
1.5%
Other values (365) 3011
75.1%
Uppercase Letter
ValueCountFrequency (%)
R 9
17.0%
K 7
13.2%
H 6
11.3%
D 4
7.5%
E 4
7.5%
S 4
7.5%
B 4
7.5%
O 4
7.5%
P 2
 
3.8%
I 2
 
3.8%
Other values (6) 7
13.2%
Lowercase Letter
ValueCountFrequency (%)
o 5
38.5%
k 2
 
15.4%
n 2
 
15.4%
s 2
 
15.4%
b 1
 
7.7%
i 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 25
47.2%
1 25
47.2%
8 1
 
1.9%
0 1
 
1.9%
3 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
: 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4008
96.6%
Common 73
 
1.8%
Latin 66
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
151
 
3.8%
135
 
3.4%
130
 
3.2%
128
 
3.2%
112
 
2.8%
79
 
2.0%
73
 
1.8%
65
 
1.6%
64
 
1.6%
60
 
1.5%
Other values (365) 3011
75.1%
Latin
ValueCountFrequency (%)
R 9
13.6%
K 7
10.6%
H 6
 
9.1%
o 5
 
7.6%
D 4
 
6.1%
E 4
 
6.1%
S 4
 
6.1%
B 4
 
6.1%
O 4
 
6.1%
k 2
 
3.0%
Other values (12) 17
25.8%
Common
ValueCountFrequency (%)
2 25
34.2%
1 25
34.2%
16
21.9%
& 2
 
2.7%
: 1
 
1.4%
8 1
 
1.4%
0 1
 
1.4%
. 1
 
1.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4008
96.6%
ASCII 139
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
151
 
3.8%
135
 
3.4%
130
 
3.2%
128
 
3.2%
112
 
2.8%
79
 
2.0%
73
 
1.8%
65
 
1.6%
64
 
1.6%
60
 
1.5%
Other values (365) 3011
75.1%
ASCII
ValueCountFrequency (%)
2 25
18.0%
1 25
18.0%
16
11.5%
R 9
 
6.5%
K 7
 
5.0%
H 6
 
4.3%
o 5
 
3.6%
D 4
 
2.9%
E 4
 
2.9%
S 4
 
2.9%
Other values (21) 34
24.5%
Distinct251
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Minimum2010-02-06 00:00:00
Maximum2023-08-09 00:00:00
2023-12-12T14:07:49.007854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:07:49.185580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정날
Date

MISSING 

Distinct108
Distinct (%)29.3%
Missing793
Missing (%)68.3%
Memory size9.2 KiB
Minimum2010-02-22 00:00:00
Maximum2020-03-25 00:00:00
2023-12-12T14:07:49.345705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:07:49.530008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

추천년
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)1.6%
Missing9
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean2014.1128
Minimum2005
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-12T14:07:49.717487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2010
Q12011
median2013
Q32017.25
95-th percentile2022
Maximum2023
Range18
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation4.0239649
Coefficient of variation (CV)0.0019978845
Kurtosis-0.85715356
Mean2014.1128
Median Absolute Deviation (MAD)3
Skewness0.64578029
Sum2320258
Variance16.192294
MonotonicityNot monotonic
2023-12-12T14:07:49.881241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2011 255
22.0%
2010 190
16.4%
2012 113
9.7%
2019 70
 
6.0%
2014 68
 
5.9%
2015 68
 
5.9%
2013 68
 
5.9%
2022 61
 
5.3%
2021 54
 
4.7%
2016 53
 
4.6%
Other values (8) 152
13.1%
ValueCountFrequency (%)
2005 1
 
0.1%
2006 1
 
0.1%
2007 11
 
0.9%
2009 1
 
0.1%
2010 190
16.4%
2011 255
22.0%
2012 113
9.7%
2013 68
 
5.9%
2014 68
 
5.9%
2015 68
 
5.9%
ValueCountFrequency (%)
2023 9
 
0.8%
2022 61
5.3%
2021 54
4.7%
2020 48
4.1%
2019 70
6.0%
2018 46
4.0%
2017 35
3.0%
2016 53
4.6%
2015 68
5.9%
2014 68
5.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Minimum2023-08-10 00:00:00
Maximum2023-08-10 00:00:00
2023-12-12T14:07:50.039408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:07:50.160692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T14:07:45.028440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:07:44.743795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:07:45.187934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:07:44.865347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:07:50.253797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번추천년
연번1.0000.931
추천년0.9311.000
2023-12-12T14:07:50.355570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번추천년
연번1.0000.663
추천년0.6631.000

Missing values

2023-12-12T14:07:45.379560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:07:45.529286image/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.
2023-12-12T14:07:45.657077image/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

연번제목저자발행자등록날수정날추천년데이터기준일자
01헨리의 자유상자엘린 레빈뜨인돌어린이2016-05-012016-05-0120162023-08-10
12도시에 사는 우리 할머니로렌 카스티요재능교육2016-05-012016-05-0120162023-08-10
23사계절퍼트리샤 헤가티키즈엠2016-05-012016-05-0120162023-08-10
34프로작가의 탐나는 글쓰기박경덕더퀘스트2016-08-12<NA>20162023-08-10
45풀꽃도 꽃이다 1, 2조정래해냄2016-08-12<NA>20162023-08-10
56마음가면브레네 브라운더퀘스트2016-08-12<NA>20162023-08-10
67edit. Seoul(에딧 서울)오선희중앙M&B2016-08-12<NA>20162023-08-10
78날마다 새날법륜정토2016-08-12<NA>20162023-08-10
89나는 물조반니 무나리키즈엠2016-08-12<NA>20162023-08-10
910물고기 씨, 안녕하세요?강하연봄봄2016-08-12<NA>20162023-08-10
연번제목저자발행자등록날수정날추천년데이터기준일자
11511152안전 생활 지침서 학교이현주, 한종극<NA>2023-06-25<NA>20222023-08-10
11521153세상에서 가장 짧은 한국사김재원<NA>2023-07-08<NA>20232023-08-10
11531154목요일에는 코코아를아오야마 미치코<NA>2023-07-18<NA>20232023-08-10
11541155오늘도 너를 사랑해이누이 사에코<NA>2023-07-25<NA>20232023-08-10
11551156[전자책] 구석구석 역사 어드벤처: 성데이비드 롱<NA>2023-07-25<NA>20232023-08-10
11561157에이징 솔로김희경<NA>2023-07-26<NA>20232023-08-10
11571158지구촌 아이들이 들려주는 SDGs 이야기글 이정주 그림 박재현<NA>2023-08-01<NA>20232023-08-10
11581159[전자책] 미드나잇 뮤지엄: 파리박송이<NA>2023-08-03<NA>20232023-08-10
11591160아기돼지 삼 형제가 경제를 알았다면박원배<NA>2023-08-06<NA>20232023-08-10
11601161[전자책]인스타 브레인안데르스 한센<NA>2023-08-09<NA>20232023-08-10