Overview

Dataset statistics

Number of variables6
Number of observations230
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory50.6 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_부산광역시기장군_내리새라도서관신착자료현황_20201103
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15068781

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
서명 has unique valuesUnique

Reproduction

Analysis started2024-04-16 17:11:38.802293
Analysis finished2024-04-16 17:11:40.227725
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.5
Minimum1
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-17T02:11:40.292731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.45
Q158.25
median115.5
Q3172.75
95-th percentile218.55
Maximum230
Range229
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation66.539462
Coefficient of variation (CV)0.57609924
Kurtosis-1.2
Mean115.5
Median Absolute Deviation (MAD)57.5
Skewness0
Sum26565
Variance4427.5
MonotonicityStrictly increasing
2024-04-17T02:11:40.413569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (220) 220
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%

서명
Text

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-17T02:11:40.724356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length35
Mean length16.169565
Min length2

Characters and Unicode

Total characters3719
Distinct characters504
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)100.0%

Sample

1st row나는 왜 지배받는가 : 수많은 갑과 을 사이에서 자신을 지키기 위한 권력 안내서
2nd row덕혜옹주
3rd row영어천재가 된 홍 대리
4th row추락하는 것은 복근이 없다
5th row두 번 사는 사람들
ValueCountFrequency (%)
45
 
4.4%
이야기 12
 
1.2%
삼국지 10
 
1.0%
나는 9
 
0.9%
인문학 8
 
0.8%
행복한 6
 
0.6%
초등학교 6
 
0.6%
한국사 6
 
0.6%
우리 5
 
0.5%
내 5
 
0.5%
Other values (780) 917
89.1%
2024-04-17T02:11:41.160331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
799
 
21.5%
이 88
 
2.4%
는 85
 
2.3%
다 59
 
1.6%
가 52
 
1.4%
의 52
 
1.4%
, 46
 
1.2%
: 45
 
1.2%
한 44
 
1.2%
지 41
 
1.1%
Other values (494) 2408
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2649
71.2%
Space Separator 799
 
21.5%
Other Punctuation 131
 
3.5%
Decimal Number 58
 
1.6%
Open Punctuation 34
 
0.9%
Close Punctuation 34
 
0.9%
Uppercase Letter 7
 
0.2%
Lowercase Letter 5
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 88
 
3.3%
는 85
 
3.2%
다 59
 
2.2%
가 52
 
2.0%
의 52
 
2.0%
한 44
 
1.7%
지 41
 
1.5%
을 40
 
1.5%
자 40
 
1.5%
리 39
 
1.5%
Other values (464) 2109
79.6%
Decimal Number
ValueCountFrequency (%)
1 10
17.2%
3 10
17.2%
4 9
15.5%
5 6
10.3%
2 6
10.3%
9 6
10.3%
0 5
8.6%
6 3
 
5.2%
8 2
 
3.4%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 46
35.1%
: 45
34.4%
. 29
22.1%
? 7
 
5.3%
! 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
K 2
28.6%
B 2
28.6%
S 1
14.3%
T 1
14.3%
H 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
o 1
20.0%
h 1
20.0%
l 1
20.0%
Open Punctuation
ValueCountFrequency (%)
[ 17
50.0%
( 17
50.0%
Close Punctuation
ValueCountFrequency (%)
] 17
50.0%
) 17
50.0%
Space Separator
ValueCountFrequency (%)
799
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2644
71.1%
Common 1058
28.4%
Latin 12
 
0.3%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 88
 
3.3%
는 85
 
3.2%
다 59
 
2.2%
가 52
 
2.0%
의 52
 
2.0%
한 44
 
1.7%
지 41
 
1.6%
을 40
 
1.5%
자 40
 
1.5%
리 39
 
1.5%
Other values (459) 2104
79.6%
Common
ValueCountFrequency (%)
799
75.5%
, 46
 
4.3%
: 45
 
4.3%
. 29
 
2.7%
[ 17
 
1.6%
] 17
 
1.6%
) 17
 
1.6%
( 17
 
1.6%
1 10
 
0.9%
3 10
 
0.9%
Other values (11) 51
 
4.8%
Latin
ValueCountFrequency (%)
K 2
16.7%
B 2
16.7%
e 2
16.7%
S 1
8.3%
T 1
8.3%
o 1
8.3%
H 1
8.3%
h 1
8.3%
l 1
8.3%
Han
ValueCountFrequency (%)
生 1
20.0%
史 1
20.0%
食 1
20.0%
時 1
20.0%
詩 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2644
71.1%
ASCII 1070
28.8%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
799
74.7%
, 46
 
4.3%
: 45
 
4.2%
. 29
 
2.7%
[ 17
 
1.6%
] 17
 
1.6%
) 17
 
1.6%
( 17
 
1.6%
1 10
 
0.9%
3 10
 
0.9%
Other values (20) 63
 
5.9%
Hangul
ValueCountFrequency (%)
이 88
 
3.3%
는 85
 
3.2%
다 59
 
2.2%
가 52
 
2.0%
의 52
 
2.0%
한 44
 
1.7%
지 41
 
1.6%
을 40
 
1.5%
자 40
 
1.5%
리 39
 
1.5%
Other values (459) 2104
79.6%
CJK
ValueCountFrequency (%)
生 1
20.0%
史 1
20.0%
食 1
20.0%
時 1
20.0%
詩 1
20.0%

저작자
Text

Distinct213
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-17T02:11:41.429596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length11.191304
Min length3

Characters and Unicode

Total characters2574
Distinct characters269
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)88.3%

Sample

1st row모기룡 지음
2nd row권비영
3rd row박정원 지음
4th row김해원 지음
5th row지은이: 황현진
ValueCountFrequency (%)
지음 125
 
15.7%
100
 
12.5%
그림 46
 
5.8%
옮김 35
 
4.4%
글 35
 
4.4%
지은이 27
 
3.4%
글·그림 12
 
1.5%
이문열 11
 
1.4%
외 11
 
1.4%
나관중 9
 
1.1%
Other values (344) 387
48.5%
2024-04-17T02:11:41.819219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
22.1%
지 170
 
6.6%
음 129
 
5.0%
; 100
 
3.9%
이 80
 
3.1%
김 78
 
3.0%
그 61
 
2.4%
림 58
 
2.3%
: 51
 
2.0%
글 48
 
1.9%
Other values (259) 1231
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1816
70.6%
Space Separator 568
 
22.1%
Other Punctuation 171
 
6.6%
Uppercase Letter 6
 
0.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 170
 
9.4%
음 129
 
7.1%
이 80
 
4.4%
김 78
 
4.3%
그 61
 
3.4%
림 58
 
3.2%
글 48
 
2.6%
옮 39
 
2.1%
은 39
 
2.1%
정 32
 
1.8%
Other values (244) 1082
59.6%
Other Punctuation
ValueCountFrequency (%)
; 100
58.5%
: 51
29.8%
· 13
 
7.6%
. 6
 
3.5%
, 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
J 2
33.3%
T 1
16.7%
G 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
a 1
33.3%
m 1
33.3%
Space Separator
ValueCountFrequency (%)
568
100.0%
Close Punctuation
ValueCountFrequency (%)
] 5
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1816
70.6%
Common 749
29.1%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 170
 
9.4%
음 129
 
7.1%
이 80
 
4.4%
김 78
 
4.3%
그 61
 
3.4%
림 58
 
3.2%
글 48
 
2.6%
옮 39
 
2.1%
은 39
 
2.1%
정 32
 
1.8%
Other values (244) 1082
59.6%
Common
ValueCountFrequency (%)
568
75.8%
; 100
 
13.4%
: 51
 
6.8%
· 13
 
1.7%
. 6
 
0.8%
] 5
 
0.7%
[ 5
 
0.7%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
M 2
22.2%
J 2
22.2%
T 1
11.1%
e 1
11.1%
a 1
11.1%
G 1
11.1%
m 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1816
70.6%
ASCII 745
28.9%
None 13
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
76.2%
; 100
 
13.4%
: 51
 
6.8%
. 6
 
0.8%
] 5
 
0.7%
[ 5
 
0.7%
M 2
 
0.3%
J 2
 
0.3%
T 1
 
0.1%
e 1
 
0.1%
Other values (4) 4
 
0.5%
Hangul
ValueCountFrequency (%)
지 170
 
9.4%
음 129
 
7.1%
이 80
 
4.4%
김 78
 
4.3%
그 61
 
3.4%
림 58
 
3.2%
글 48
 
2.6%
옮 39
 
2.1%
은 39
 
2.1%
정 32
 
1.8%
Other values (244) 1082
59.6%
None
ValueCountFrequency (%)
· 13
100.0%

발행자
Text

Distinct167
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-17T02:11:42.051354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.5347826
Min length1

Characters and Unicode

Total characters1273
Distinct characters264
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)61.3%

Sample

1st row반니
2nd row다산책방
3rd row다산북스 다산라이프
4th row사계절
5th row문학동네
ValueCountFrequency (%)
민음사 15
 
6.1%
문학동네 7
 
2.8%
휴먼어린이 6
 
2.4%
웅진주니어 5
 
2.0%
동아시아 5
 
2.0%
사계절출판사 4
 
1.6%
보림 4
 
1.6%
서해문집 4
 
1.6%
애니북스 3
 
1.2%
김영사 3
 
1.2%
Other values (166) 190
77.2%
2024-04-17T02:11:42.382347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 56
 
4.4%
스 45
 
3.5%
북 34
 
2.7%
: 28
 
2.2%
어 28
 
2.2%
판 25
 
2.0%
출 25
 
2.0%
문 24
 
1.9%
이 23
 
1.8%
한 19
 
1.5%
Other values (254) 966
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1123
88.2%
Lowercase Letter 65
 
5.1%
Other Punctuation 31
 
2.4%
Space Separator 16
 
1.3%
Uppercase Letter 12
 
0.9%
Close Punctuation 9
 
0.7%
Open Punctuation 9
 
0.7%
Decimal Number 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 56
 
5.0%
스 45
 
4.0%
북 34
 
3.0%
어 28
 
2.5%
판 25
 
2.2%
출 25
 
2.2%
문 24
 
2.1%
이 23
 
2.0%
한 19
 
1.7%
니 18
 
1.6%
Other values (222) 826
73.6%
Lowercase Letter
ValueCountFrequency (%)
o 11
16.9%
s 7
10.8%
a 6
9.2%
k 5
7.7%
b 5
7.7%
e 4
 
6.2%
i 4
 
6.2%
l 4
 
6.2%
h 4
 
6.2%
w 4
 
6.2%
Other values (6) 11
16.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
33.3%
K 3
25.0%
H 3
25.0%
R 1
 
8.3%
M 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
: 28
90.3%
. 1
 
3.2%
; 1
 
3.2%
& 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
0 1
 
12.5%
4 1
 
12.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1123
88.2%
Latin 77
 
6.0%
Common 73
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 56
 
5.0%
스 45
 
4.0%
북 34
 
3.0%
어 28
 
2.5%
판 25
 
2.2%
출 25
 
2.2%
문 24
 
2.1%
이 23
 
2.0%
한 19
 
1.7%
니 18
 
1.6%
Other values (222) 826
73.6%
Latin
ValueCountFrequency (%)
o 11
14.3%
s 7
 
9.1%
a 6
 
7.8%
k 5
 
6.5%
b 5
 
6.5%
e 4
 
5.2%
B 4
 
5.2%
i 4
 
5.2%
l 4
 
5.2%
h 4
 
5.2%
Other values (11) 23
29.9%
Common
ValueCountFrequency (%)
: 28
38.4%
16
21.9%
) 9
 
12.3%
( 9
 
12.3%
1 3
 
4.1%
2 3
 
4.1%
0 1
 
1.4%
4 1
 
1.4%
. 1
 
1.4%
; 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1123
88.2%
ASCII 150
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 56
 
5.0%
스 45
 
4.0%
북 34
 
3.0%
어 28
 
2.5%
판 25
 
2.2%
출 25
 
2.2%
문 24
 
2.1%
이 23
 
2.0%
한 19
 
1.7%
니 18
 
1.6%
Other values (222) 826
73.6%
ASCII
ValueCountFrequency (%)
: 28
18.7%
16
 
10.7%
o 11
 
7.3%
) 9
 
6.0%
( 9
 
6.0%
s 7
 
4.7%
a 6
 
4.0%
k 5
 
3.3%
b 5
 
3.3%
e 4
 
2.7%
Other values (22) 50
33.3%

발행년
Real number (ℝ)

Distinct16
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.4609
Minimum2002
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-17T02:11:42.483172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2009
Q12013
median2016
Q32018
95-th percentile2019
Maximum2020
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.236762
Coefficient of variation (CV)0.0016059662
Kurtosis0.97129548
Mean2015.4609
Median Absolute Deviation (MAD)2
Skewness-1.0475
Sum463556
Variance10.476628
MonotonicityNot monotonic
2024-04-17T02:11:42.580122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2017 41
17.8%
2019 36
15.7%
2016 33
14.3%
2018 29
12.6%
2012 18
7.8%
2015 16
 
7.0%
2014 12
 
5.2%
2011 10
 
4.3%
2013 10
 
4.3%
2010 8
 
3.5%
Other values (6) 17
7.4%
ValueCountFrequency (%)
2002 1
 
0.4%
2004 1
 
0.4%
2007 1
 
0.4%
2008 2
 
0.9%
2009 8
3.5%
2010 8
3.5%
2011 10
4.3%
2012 18
7.8%
2013 10
4.3%
2014 12
5.2%
ValueCountFrequency (%)
2020 4
 
1.7%
2019 36
15.7%
2018 29
12.6%
2017 41
17.8%
2016 33
14.3%
2015 16
 
7.0%
2014 12
 
5.2%
2013 10
 
4.3%
2012 18
7.8%
2011 10
 
4.3%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
[내리새라]종합자료실
163 
[내리새라]어린이자료실
39 
[내리새라]유아자료실
28 

Length

Max length12
Median length11
Mean length11.169565
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[내리새라]종합자료실 163
70.9%
[내리새라]어린이자료실 39
 
17.0%
[내리새라]유아자료실 28
 
12.2%

Length

2024-04-17T02:11:42.685765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T02:11:42.770919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내리새라]종합자료실 163
70.9%
내리새라]어린이자료실 39
 
17.0%
내리새라]유아자료실 28
 
12.2%

Interactions

2024-04-17T02:11:39.915515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T02:11:39.757724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T02:11:39.995907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T02:11:39.823274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T02:11:42.835283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.5050.871
발행년0.5051.0000.639
자료실명0.8710.6391.000
2024-04-17T02:11:42.914234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.3220.790
발행년-0.3221.0000.346
자료실명0.7900.3461.000

Missing values

2024-04-17T02:11:40.104623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T02:11:40.192340image/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
01나는 왜 지배받는가 : 수많은 갑과 을 사이에서 자신을 지키기 위한 권력 안내서모기룡 지음반니2018[내리새라]종합자료실
12덕혜옹주권비영다산책방2010[내리새라]종합자료실
23영어천재가 된 홍 대리박정원 지음다산북스 다산라이프2016[내리새라]종합자료실
34추락하는 것은 복근이 없다김해원 지음사계절2019[내리새라]종합자료실
45두 번 사는 사람들지은이: 황현진문학동네2017[내리새라]종합자료실
56홈으로 슬라이딩도리 힐레스타드 버틀러 지음 ; 김선희 옮김미래M&B:미래인2013[내리새라]종합자료실
67인생수업법륜 지음 ; 유근택 그림휴2020[내리새라]종합자료실
78그날, 고양이가 내게로 왔다김중미 지음낮은산2019[내리새라]종합자료실
89기쁨의 정원조병준 글·사진샨티2016[내리새라]종합자료실
910개를 훔치는 완벽한 방법바바라 오코너 지음 ; 신선해 옮김놀2017[내리새라]종합자료실
순번서명저작자발행자발행년자료실명
220221(둥글둥글 지구촌)국제구호 이야기이수한 글 ; 유남영 그림풀빛2014[내리새라]어린이자료실
221222마사코의 질문손연자 글 ; 김재홍 그림푸른책들2017[내리새라]어린이자료실
222223통통이는 똥도 예뻐! : 유리산 누에나방 이야기이상권 글 ; 정지윤 그림샘터사2015[내리새라]어린이자료실
223224나쁜 말은 재밌어! : 올바른 언어 습관을 길러주는 책글: 정란희 ; 그림: 에스더위즈덤하우스2011[내리새라]어린이자료실
224225(탄소는 줄이고 지구는 살리고)지구온난화와 탄소배출권스토리베리 글 ; 문수민 그림뭉치2019[내리새라]어린이자료실
225226똥장군하고 놀면 안돼요?원유순 글 ; 연주 그림아이앤북2015[내리새라]어린이자료실
226227못된 마거릿토어 세이들러 글 ; 존 에이지 그림 ; 권자심 옮김논장2012[내리새라]어린이자료실
227228꿈꾸는 돌멩이김종상 지음 ; 유병룡 그림예림당2011[내리새라]어린이자료실
228229미래탐험 꿈발전소 : 건축사사무소. 15, 건축사사무소Team 신화 글·그림국일아이2012[내리새라]어린이자료실
229230(하늘의 법칙을 찾아낸)조선의 과학자들고진숙 지음 ; 유준재 그림한겨레아이들:한겨레출판2015[내리새라]어린이자료실