Overview

Dataset statistics

Number of variables6
Number of observations894
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.8 KiB
Average record size in memory50.1 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20220827
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060473

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
발행년 is highly imbalanced (85.1%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:01:02.618708
Analysis finished2023-12-10 17:01:05.078959
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct894
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.5
Minimum1
Maximum894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T02:01:05.218184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.65
Q1224.25
median447.5
Q3670.75
95-th percentile849.35
Maximum894
Range893
Interquartile range (IQR)446.5

Descriptive statistics

Standard deviation258.21987
Coefficient of variation (CV)0.57702764
Kurtosis-1.2
Mean447.5
Median Absolute Deviation (MAD)223.5
Skewness0
Sum400065
Variance66677.5
MonotonicityStrictly increasing
2023-12-11T02:01:05.463715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
602 1
 
0.1%
591 1
 
0.1%
592 1
 
0.1%
593 1
 
0.1%
594 1
 
0.1%
595 1
 
0.1%
596 1
 
0.1%
597 1
 
0.1%
598 1
 
0.1%
Other values (884) 884
98.9%
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 (%)
894 1
0.1%
893 1
0.1%
892 1
0.1%
891 1
0.1%
890 1
0.1%
889 1
0.1%
888 1
0.1%
887 1
0.1%
886 1
0.1%
885 1
0.1%

서명
Text

Distinct834
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-11T02:01:06.052091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length47
Mean length24.258389
Min length1

Characters and Unicode

Total characters21687
Distinct characters906
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

Unique780 ?
Unique (%)87.2%

Sample

1st row1천만 원 부동산 투자 1천만 원으로 시작하는 소액 부동산 투자법
2nd row52주의 숄 사계절 내내 즐기는 아름다운 손뜨개 스카프
3rd row비욘드 더 스토리Beyond the story 10year record of BTS
4th row감정은 사라져도 결과는 남는다 살아온 날보다 살아갈 날을 위해
5th row공부 감각 10세 이전에 완성된다 옥스퍼드대 조지은 교수가 알려주는 평생을 좌우하는 공부 베이스
ValueCountFrequency (%)
장편소설 54
 
1.0%
위한 33
 
0.6%
이야기 32
 
0.6%
그림책 25
 
0.5%
1 24
 
0.4%
2 21
 
0.4%
20
 
0.4%
19
 
0.3%
에세이 17
 
0.3%
17
 
0.3%
Other values (3495) 5234
95.2%
2023-12-11T02:01:07.050211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5086
 
23.5%
444
 
2.0%
413
 
1.9%
348
 
1.6%
237
 
1.1%
228
 
1.1%
219
 
1.0%
212
 
1.0%
198
 
0.9%
191
 
0.9%
Other values (896) 14111
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14786
68.2%
Space Separator 5086
 
23.5%
Lowercase Letter 1283
 
5.9%
Decimal Number 332
 
1.5%
Uppercase Letter 190
 
0.9%
Math Symbol 6
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
444
 
3.0%
413
 
2.8%
348
 
2.4%
237
 
1.6%
228
 
1.5%
219
 
1.5%
212
 
1.4%
198
 
1.3%
191
 
1.3%
190
 
1.3%
Other values (828) 12106
81.9%
Lowercase Letter
ValueCountFrequency (%)
e 164
12.8%
o 146
11.4%
i 96
 
7.5%
t 94
 
7.3%
n 94
 
7.3%
a 93
 
7.2%
r 86
 
6.7%
s 80
 
6.2%
h 45
 
3.5%
c 45
 
3.5%
Other values (15) 340
26.5%
Uppercase Letter
ValueCountFrequency (%)
T 25
13.2%
D 16
 
8.4%
S 14
 
7.4%
C 13
 
6.8%
A 13
 
6.8%
G 13
 
6.8%
P 10
 
5.3%
B 10
 
5.3%
H 9
 
4.7%
I 9
 
4.7%
Other values (14) 58
30.5%
Decimal Number
ValueCountFrequency (%)
1 92
27.7%
0 78
23.5%
2 40
12.0%
3 32
 
9.6%
5 29
 
8.7%
4 21
 
6.3%
7 14
 
4.2%
9 11
 
3.3%
8 10
 
3.0%
6 5
 
1.5%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
> 1
16.7%
< 1
16.7%
~ 1
16.7%
× 1
16.7%
Space Separator
ValueCountFrequency (%)
5086
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Close Punctuation
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14781
68.2%
Common 5428
 
25.0%
Latin 1473
 
6.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
444
 
3.0%
413
 
2.8%
348
 
2.4%
237
 
1.6%
228
 
1.5%
219
 
1.5%
212
 
1.4%
198
 
1.3%
191
 
1.3%
190
 
1.3%
Other values (825) 12101
81.9%
Latin
ValueCountFrequency (%)
e 164
 
11.1%
o 146
 
9.9%
i 96
 
6.5%
t 94
 
6.4%
n 94
 
6.4%
a 93
 
6.3%
r 86
 
5.8%
s 80
 
5.4%
h 45
 
3.1%
c 45
 
3.1%
Other values (39) 530
36.0%
Common
ValueCountFrequency (%)
5086
93.7%
1 92
 
1.7%
0 78
 
1.4%
2 40
 
0.7%
3 32
 
0.6%
5 29
 
0.5%
4 21
 
0.4%
7 14
 
0.3%
9 11
 
0.2%
8 10
 
0.2%
Other values (9) 15
 
0.3%
Han
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14781
68.2%
ASCII 6898
31.8%
CJK 5
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5086
73.7%
e 164
 
2.4%
o 146
 
2.1%
i 96
 
1.4%
t 94
 
1.4%
n 94
 
1.4%
a 93
 
1.3%
1 92
 
1.3%
r 86
 
1.2%
s 80
 
1.2%
Other values (55) 867
 
12.6%
Hangul
ValueCountFrequency (%)
444
 
3.0%
413
 
2.8%
348
 
2.4%
237
 
1.6%
228
 
1.5%
219
 
1.5%
212
 
1.4%
198
 
1.3%
191
 
1.3%
190
 
1.3%
Other values (825) 12101
81.9%
CJK
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
None
ValueCountFrequency (%)
× 1
33.3%
1
33.3%
1
33.3%
Distinct795
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-11T02:01:07.592089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length47
Mean length14.673378
Min length5

Characters and Unicode

Total characters13118
Distinct characters576
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

Unique715 ?
Unique (%)80.0%

Sample

1st row제승욱 지음
2nd row레인 지음 Jonna HietalaSini Kramer 공photography Hannamari Kovanen illustrations 조진경 옮김
3rd row강명석방탄소년단 공지음
4th row이해인 지음
5th row조지은 지음
ValueCountFrequency (%)
지음 470
 
12.9%
옮김 325
 
8.9%
그림 257
 
7.0%
209
 
5.7%
글그림 93
 
2.5%
공지음 37
 
1.0%
원작 25
 
0.7%
공글 14
 
0.4%
번역 13
 
0.4%
편집부 10
 
0.3%
Other values (1757) 2196
60.2%
2023-12-11T02:01:08.344796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3418
26.1%
627
 
4.8%
541
 
4.1%
529
 
4.0%
375
 
2.9%
375
 
2.9%
331
 
2.5%
329
 
2.5%
318
 
2.4%
159
 
1.2%
Other values (566) 6116
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9474
72.2%
Space Separator 3418
 
26.1%
Lowercase Letter 165
 
1.3%
Uppercase Letter 48
 
0.4%
Decimal Number 6
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
627
 
6.6%
541
 
5.7%
529
 
5.6%
375
 
4.0%
375
 
4.0%
331
 
3.5%
329
 
3.5%
318
 
3.4%
159
 
1.7%
153
 
1.6%
Other values (518) 5737
60.6%
Lowercase Letter
ValueCountFrequency (%)
a 24
14.5%
n 16
9.7%
o 15
9.1%
r 15
9.1%
t 13
7.9%
i 13
7.9%
e 12
 
7.3%
s 10
 
6.1%
l 9
 
5.5%
u 7
 
4.2%
Other values (10) 31
18.8%
Uppercase Letter
ValueCountFrequency (%)
J 11
22.9%
B 5
10.4%
S 4
 
8.3%
H 4
 
8.3%
K 3
 
6.2%
T 3
 
6.2%
D 2
 
4.2%
N 2
 
4.2%
M 2
 
4.2%
E 2
 
4.2%
Other values (10) 10
20.8%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
5 1
 
16.7%
1 1
 
16.7%
0 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9474
72.2%
Common 3431
 
26.2%
Latin 213
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
627
 
6.6%
541
 
5.7%
529
 
5.6%
375
 
4.0%
375
 
4.0%
331
 
3.5%
329
 
3.5%
318
 
3.4%
159
 
1.7%
153
 
1.6%
Other values (518) 5737
60.6%
Latin
ValueCountFrequency (%)
a 24
 
11.3%
n 16
 
7.5%
o 15
 
7.0%
r 15
 
7.0%
t 13
 
6.1%
i 13
 
6.1%
e 12
 
5.6%
J 11
 
5.2%
s 10
 
4.7%
l 9
 
4.2%
Other values (30) 75
35.2%
Common
ValueCountFrequency (%)
3418
99.6%
- 5
 
0.1%
2 3
 
0.1%
5 1
 
< 0.1%
1 1
 
< 0.1%
0 1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9474
72.2%
ASCII 3642
 
27.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3418
93.8%
a 24
 
0.7%
n 16
 
0.4%
o 15
 
0.4%
r 15
 
0.4%
t 13
 
0.4%
i 13
 
0.4%
e 12
 
0.3%
J 11
 
0.3%
s 10
 
0.3%
Other values (36) 95
 
2.6%
Hangul
ValueCountFrequency (%)
627
 
6.6%
541
 
5.7%
529
 
5.6%
375
 
4.0%
375
 
4.0%
331
 
3.5%
329
 
3.5%
318
 
3.4%
159
 
1.7%
153
 
1.6%
Other values (518) 5737
60.6%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct509
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-11T02:01:08.890809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.1308725
Min length1

Characters and Unicode

Total characters3693
Distinct characters422
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)37.4%

Sample

1st row원앤원북스
2nd row한스미디어
3rd row빅히트뮤직
4th row필름
5th row쌤앤파커스
ValueCountFrequency (%)
문학동네 15
 
1.7%
창비 15
 
1.7%
아울북 13
 
1.4%
위즈덤하우스 13
 
1.4%
다산어린이 11
 
1.2%
시공주니어 10
 
1.1%
한겨레출판 8
 
0.9%
웅진주니어 8
 
0.9%
책읽는곰 7
 
0.8%
서울문화사 7
 
0.8%
Other values (508) 800
88.2%
2023-12-11T02:01:09.534956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
4.5%
132
 
3.6%
124
 
3.4%
100
 
2.7%
69
 
1.9%
63
 
1.7%
63
 
1.7%
54
 
1.5%
53
 
1.4%
44
 
1.2%
Other values (412) 2825
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3515
95.2%
Lowercase Letter 123
 
3.3%
Uppercase Letter 34
 
0.9%
Space Separator 13
 
0.4%
Decimal Number 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
166
 
4.7%
132
 
3.8%
124
 
3.5%
100
 
2.8%
69
 
2.0%
63
 
1.8%
63
 
1.8%
54
 
1.5%
53
 
1.5%
44
 
1.3%
Other values (377) 2647
75.3%
Lowercase Letter
ValueCountFrequency (%)
o 27
22.0%
s 13
10.6%
i 12
9.8%
d 10
 
8.1%
r 9
 
7.3%
e 9
 
7.3%
a 8
 
6.5%
k 8
 
6.5%
n 7
 
5.7%
b 6
 
4.9%
Other values (7) 14
11.4%
Uppercase Letter
ValueCountFrequency (%)
E 6
17.6%
B 4
11.8%
H 4
11.8%
K 4
11.8%
C 2
 
5.9%
S 2
 
5.9%
R 2
 
5.9%
P 2
 
5.9%
U 2
 
5.9%
I 1
 
2.9%
Other values (5) 5
14.7%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 3
37.5%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3514
95.2%
Latin 157
 
4.3%
Common 21
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
166
 
4.7%
132
 
3.8%
124
 
3.5%
100
 
2.8%
69
 
2.0%
63
 
1.8%
63
 
1.8%
54
 
1.5%
53
 
1.5%
44
 
1.3%
Other values (376) 2646
75.3%
Latin
ValueCountFrequency (%)
o 27
17.2%
s 13
 
8.3%
i 12
 
7.6%
d 10
 
6.4%
r 9
 
5.7%
e 9
 
5.7%
a 8
 
5.1%
k 8
 
5.1%
n 7
 
4.5%
E 6
 
3.8%
Other values (22) 48
30.6%
Common
ValueCountFrequency (%)
13
61.9%
2 5
 
23.8%
1 3
 
14.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3510
95.0%
ASCII 178
 
4.8%
Compat Jamo 4
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
166
 
4.7%
132
 
3.8%
124
 
3.5%
100
 
2.8%
69
 
2.0%
63
 
1.8%
63
 
1.8%
54
 
1.5%
53
 
1.5%
44
 
1.3%
Other values (373) 2642
75.3%
ASCII
ValueCountFrequency (%)
o 27
15.2%
13
 
7.3%
s 13
 
7.3%
i 12
 
6.7%
d 10
 
5.6%
r 9
 
5.1%
e 9
 
5.1%
a 8
 
4.5%
k 8
 
4.5%
n 7
 
3.9%
Other values (25) 62
34.8%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
CJK
ValueCountFrequency (%)
1
100.0%

발행년
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2022
852 
2021
 
24
2020
 
9
2019
 
8
2013
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 852
95.3%
2021 24
 
2.7%
2020 9
 
1.0%
2019 8
 
0.9%
2013 1
 
0.1%

Length

2023-12-11T02:01:09.740055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:09.902343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 852
95.3%
2021 24
 
2.7%
2020 9
 
1.0%
2019 8
 
0.9%
2013 1
 
0.1%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
정관종합자료열람실
488 
정관어린이자료실
406 

Length

Max length9
Median length9
Mean length8.5458613
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정관종합자료열람실 488
54.6%
정관어린이자료실 406
45.4%

Length

2023-12-11T02:01:10.089310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:10.214590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관종합자료열람실 488
54.6%
정관어린이자료실 406
45.4%

Interactions

2023-12-11T02:01:04.536407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:01:10.291171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.2370.828
발행년0.2371.0000.069
자료실명0.8280.0691.000
2023-12-11T02:01:10.395327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실명발행년
자료실명1.0000.085
발행년0.0851.000
2023-12-11T02:01:10.484171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1000.658
발행년0.1001.0000.085
자료실명0.6580.0851.000

Missing values

2023-12-11T02:01:04.745298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:04.974377image/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

순번서명저작자발행자발행년자료실명
011천만 원 부동산 투자 1천만 원으로 시작하는 소액 부동산 투자법제승욱 지음원앤원북스2022정관종합자료열람실
1252주의 숄 사계절 내내 즐기는 아름다운 손뜨개 스카프레인 지음 Jonna HietalaSini Kramer 공photography Hannamari Kovanen illustrations 조진경 옮김한스미디어2022정관종합자료열람실
23비욘드 더 스토리Beyond the story 10year record of BTS강명석방탄소년단 공지음빅히트뮤직2022정관종합자료열람실
34감정은 사라져도 결과는 남는다 살아온 날보다 살아갈 날을 위해이해인 지음필름2022정관종합자료열람실
45공부 감각 10세 이전에 완성된다 옥스퍼드대 조지은 교수가 알려주는 평생을 좌우하는 공부 베이스조지은 지음쌤앤파커스2022정관종합자료열람실
56과학으로 본 사회 제도의 이해Sociology of science 과학사회학 입문오진곤 편저전파과학사2022정관종합자료열람실
67교육소비Education consumption이종승 지음다산글방2022정관종합자료열람실
78나는 그해 겨울 저들이 한 짓을 알고 있다 태극기와 촛불을 배신한 윤석열과 한동훈변희재 지음미디어워치2022정관종합자료열람실
89나는 앞으로 몇 번의 보름달을 볼 수 있을까류이치 사카모토 지음 황국영 옮김위즈덤하우스2022정관종합자료열람실
910누워서 읽는마케팅Introduction to marketing 대한민국에서 가장 쉽고 유쾌한 마케팅 이야기김광희 저내하출판사2022정관종합자료열람실
순번서명저작자발행자발행년자료실명
884885초록빛 커다란 나무는 어떻게 높이 자랐나요레베카 E 허쉬 글 미아 포사다 그림 한소영 옮김풀과바람2022정관어린이자료실
885886출렁출렁문어섬 김지현 그림책김지현 글그림웅진주니어2022정관어린이자료실
886887커다란 집에서 김선남 그림책김선남 지음봄봄2022정관어린이자료실
887888컵마을신나군 글그림월천상회2022정관어린이자료실
888889콧물 눈물채인선 글 박서현 그림한림출판사2022정관어린이자료실
889890특명냉장고를 구출하라멀리사 코피 글 조시 클리랜드 그림 장미란 옮김피카주니어2022정관어린이자료실
890891펭귄 탐험대의 모험 남쪽 섬의 비밀사이토 히로시 글 다카바타케 준 그림 김숙 옮김M창비2022정관어린이자료실
891892한 번 뱀파이어는 영원한 뱀파이어다비드 칼리 글 세바스티앙 무랭 그림 바람숲아이 옮김봄개울2022정관어린이자료실
892893할머니랑 손잡고밀랴 프라흐만 글그림 최진영 옮김어린이나무생각2022정관어린이자료실
893894호랭면김지안 지음미디어창비2022정관어린이자료실