Overview

Dataset statistics

Number of variables6
Number of observations515
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.3 KiB
Average record size in memory50.3 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관어린이도서관신착자료현황_20200605
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060476

Alerts

순번 is highly overall correlated with 발행년 and 1 other fieldsHigh correlation
발행년 is highly overall correlated with 순번High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:25:02.861102
Analysis finished2023-12-10 16:25:04.488545
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct515
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258
Minimum1
Maximum515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T01:25:04.569889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.7
Q1129.5
median258
Q3386.5
95-th percentile489.3
Maximum515
Range514
Interquartile range (IQR)257

Descriptive statistics

Standard deviation148.81196
Coefficient of variation (CV)0.57679055
Kurtosis-1.2
Mean258
Median Absolute Deviation (MAD)129
Skewness0
Sum132870
Variance22145
MonotonicityStrictly increasing
2023-12-11T01:25:04.984906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
324 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
Other values (505) 505
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
515 1
0.2%
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%

서명
Text

Distinct514
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T01:25:05.273968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length48
Mean length21.100971
Min length2

Characters and Unicode

Total characters10867
Distinct characters602
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique513 ?
Unique (%)99.6%

Sample

1st rowMitzi's day out
2nd rowAmelia earhart : My first amelia earhart
3rd rowAudrey Hepburn : My first Audrey Hepburn
4th rowMarie Curie : A first Introduction to Marie Curie
5th rowRosa Parks
ValueCountFrequency (%)
105
 
4.3%
the 86
 
3.6%
a 23
 
1.0%
of 23
 
1.0%
and 20
 
0.8%
이야기 18
 
0.7%
뱀파이어 13
 
0.5%
다이어리 12
 
0.5%
도크 12
 
0.5%
니키의 12
 
0.5%
Other values (1529) 2094
86.6%
2023-12-11T01:25:05.730168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1903
 
17.5%
e 563
 
5.2%
a 392
 
3.6%
o 357
 
3.3%
t 334
 
3.1%
s 330
 
3.0%
r 311
 
2.9%
i 302
 
2.8%
n 260
 
2.4%
h 248
 
2.3%
Other values (592) 5867
54.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4500
41.4%
Other Letter 3347
30.8%
Space Separator 1903
17.5%
Uppercase Letter 476
 
4.4%
Other Punctuation 380
 
3.5%
Decimal Number 106
 
1.0%
Close Punctuation 65
 
0.6%
Open Punctuation 65
 
0.6%
Math Symbol 15
 
0.1%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
133
 
4.0%
84
 
2.5%
64
 
1.9%
62
 
1.9%
60
 
1.8%
52
 
1.6%
46
 
1.4%
45
 
1.3%
45
 
1.3%
43
 
1.3%
Other values (516) 2713
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 563
12.5%
a 392
 
8.7%
o 357
 
7.9%
t 334
 
7.4%
s 330
 
7.3%
r 311
 
6.9%
i 302
 
6.7%
n 260
 
5.8%
h 248
 
5.5%
l 203
 
4.5%
Other values (16) 1200
26.7%
Uppercase Letter
ValueCountFrequency (%)
T 67
14.1%
M 48
 
10.1%
A 38
 
8.0%
S 30
 
6.3%
D 30
 
6.3%
C 26
 
5.5%
B 22
 
4.6%
H 21
 
4.4%
L 20
 
4.2%
W 20
 
4.2%
Other values (14) 154
32.4%
Decimal Number
ValueCountFrequency (%)
1 33
31.1%
2 15
14.2%
0 13
 
12.3%
3 12
 
11.3%
4 9
 
8.5%
5 8
 
7.5%
6 5
 
4.7%
9 5
 
4.7%
7 4
 
3.8%
8 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 102
26.8%
, 86
22.6%
. 69
18.2%
! 47
12.4%
' 38
 
10.0%
? 27
 
7.1%
& 5
 
1.3%
5
 
1.3%
; 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 14
93.3%
~ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4976
45.8%
Hangul 3347
30.8%
Common 2544
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
133
 
4.0%
84
 
2.5%
64
 
1.9%
62
 
1.9%
60
 
1.8%
52
 
1.6%
46
 
1.4%
45
 
1.3%
45
 
1.3%
43
 
1.3%
Other values (516) 2713
81.1%
Latin
ValueCountFrequency (%)
e 563
 
11.3%
a 392
 
7.9%
o 357
 
7.2%
t 334
 
6.7%
s 330
 
6.6%
r 311
 
6.2%
i 302
 
6.1%
n 260
 
5.2%
h 248
 
5.0%
l 203
 
4.1%
Other values (40) 1676
33.7%
Common
ValueCountFrequency (%)
1903
74.8%
: 102
 
4.0%
, 86
 
3.4%
. 69
 
2.7%
) 65
 
2.6%
( 65
 
2.6%
! 47
 
1.8%
' 38
 
1.5%
1 33
 
1.3%
? 27
 
1.1%
Other values (16) 109
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7515
69.2%
Hangul 3347
30.8%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1903
25.3%
e 563
 
7.5%
a 392
 
5.2%
o 357
 
4.8%
t 334
 
4.4%
s 330
 
4.4%
r 311
 
4.1%
i 302
 
4.0%
n 260
 
3.5%
h 248
 
3.3%
Other values (65) 2515
33.5%
Hangul
ValueCountFrequency (%)
133
 
4.0%
84
 
2.5%
64
 
1.9%
62
 
1.9%
60
 
1.8%
52
 
1.6%
46
 
1.4%
45
 
1.3%
45
 
1.3%
43
 
1.3%
Other values (516) 2713
81.1%
None
ValueCountFrequency (%)
5
100.0%
Distinct419
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T01:25:06.015441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length53
Mean length21.316505
Min length5

Characters and Unicode

Total characters10978
Distinct characters408
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

Unique388 ?
Unique (%)75.3%

Sample

1st rowKoreaGauss
2nd rowIsabel Sanchez Vegara ; illustrated by Mariadiamantes
3rd rowIsabel Sanchez Vegara ; illustrated by Amaia Arrazola
4th rowIsabel Sanchez Vegara ; ilustrated by Frau Isa
5th rowLisbeth Kaiser ; ilustrated by Marta Antelo
ValueCountFrequency (%)
374
 
15.1%
옮김 119
 
4.8%
그림 109
 
4.4%
98
 
4.0%
지음 81
 
3.3%
글·그림 40
 
1.6%
by 35
 
1.4%
koreagauss 31
 
1.3%
a 20
 
0.8%
r 19
 
0.8%
Other values (1055) 1543
62.5%
2023-12-11T01:25:06.484384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2036
 
18.5%
e 569
 
5.2%
a 567
 
5.2%
r 420
 
3.8%
n 414
 
3.8%
; 373
 
3.4%
o 313
 
2.9%
s 306
 
2.8%
i 296
 
2.7%
l 254
 
2.3%
Other values (398) 5430
49.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4492
40.9%
Other Letter 2995
27.3%
Space Separator 2036
18.5%
Uppercase Letter 909
 
8.3%
Other Punctuation 509
 
4.6%
Close Punctuation 17
 
0.2%
Open Punctuation 17
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
201
 
6.7%
162
 
5.4%
159
 
5.3%
150
 
5.0%
120
 
4.0%
110
 
3.7%
92
 
3.1%
87
 
2.9%
50
 
1.7%
50
 
1.7%
Other values (337) 1814
60.6%
Lowercase Letter
ValueCountFrequency (%)
e 569
12.7%
a 567
12.6%
r 420
9.3%
n 414
9.2%
o 313
 
7.0%
s 306
 
6.8%
i 296
 
6.6%
l 254
 
5.7%
t 224
 
5.0%
d 147
 
3.3%
Other values (15) 982
21.9%
Uppercase Letter
ValueCountFrequency (%)
M 112
12.3%
A 76
 
8.4%
S 71
 
7.8%
B 62
 
6.8%
R 59
 
6.5%
K 58
 
6.4%
G 56
 
6.2%
C 56
 
6.2%
L 51
 
5.6%
D 46
 
5.1%
Other values (13) 262
28.8%
Other Punctuation
ValueCountFrequency (%)
; 373
73.3%
. 62
 
12.2%
· 41
 
8.1%
, 27
 
5.3%
' 2
 
0.4%
& 1
 
0.2%
1
 
0.2%
: 1
 
0.2%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2036
100.0%
Close Punctuation
ValueCountFrequency (%)
] 17
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5401
49.2%
Hangul 2995
27.3%
Common 2582
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
201
 
6.7%
162
 
5.4%
159
 
5.3%
150
 
5.0%
120
 
4.0%
110
 
3.7%
92
 
3.1%
87
 
2.9%
50
 
1.7%
50
 
1.7%
Other values (337) 1814
60.6%
Latin
ValueCountFrequency (%)
e 569
 
10.5%
a 567
 
10.5%
r 420
 
7.8%
n 414
 
7.7%
o 313
 
5.8%
s 306
 
5.7%
i 296
 
5.5%
l 254
 
4.7%
t 224
 
4.1%
d 147
 
2.7%
Other values (38) 1891
35.0%
Common
ValueCountFrequency (%)
2036
78.9%
; 373
 
14.4%
. 62
 
2.4%
· 41
 
1.6%
, 27
 
1.0%
] 17
 
0.7%
[ 17
 
0.7%
- 3
 
0.1%
' 2
 
0.1%
& 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7941
72.3%
Hangul 2995
 
27.3%
None 42
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2036
25.6%
e 569
 
7.2%
a 567
 
7.1%
r 420
 
5.3%
n 414
 
5.2%
; 373
 
4.7%
o 313
 
3.9%
s 306
 
3.9%
i 296
 
3.7%
l 254
 
3.2%
Other values (49) 2393
30.1%
Hangul
ValueCountFrequency (%)
201
 
6.7%
162
 
5.4%
159
 
5.3%
150
 
5.0%
120
 
4.0%
110
 
3.7%
92
 
3.1%
87
 
2.9%
50
 
1.7%
50
 
1.7%
Other values (337) 1814
60.6%
None
ValueCountFrequency (%)
· 41
97.6%
1
 
2.4%
Distinct224
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T01:25:06.768860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length11.970874
Min length1

Characters and Unicode

Total characters6165
Distinct characters257
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)28.3%

Sample

1st rowKoreaGauss
2nd rowFrances Lincoln Children's Books
3rd rowFrances Lincoln Children's Books
4th rowFrances Lincoln Children's Books
5th rowFrances Lincoln Children's Books
ValueCountFrequency (%)
books 66
 
7.6%
koreagauss 31
 
3.6%
mcgraw-hill 30
 
3.5%
children's 29
 
3.3%
seed 20
 
2.3%
learning 20
 
2.3%
korea 20
 
2.3%
frances 20
 
2.3%
lincoln 20
 
2.3%
harpercollinschildrensbooks 18
 
2.1%
Other values (253) 592
68.4%
2023-12-11T01:25:07.207021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 499
 
8.1%
r 410
 
6.7%
e 393
 
6.4%
s 377
 
6.1%
353
 
5.7%
n 346
 
5.6%
a 321
 
5.2%
l 305
 
4.9%
i 257
 
4.2%
u 145
 
2.4%
Other values (247) 2759
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3998
64.8%
Other Letter 1001
 
16.2%
Uppercase Letter 715
 
11.6%
Space Separator 353
 
5.7%
Other Punctuation 66
 
1.1%
Dash Punctuation 32
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
6.2%
46
 
4.6%
43
 
4.3%
37
 
3.7%
30
 
3.0%
29
 
2.9%
26
 
2.6%
24
 
2.4%
23
 
2.3%
19
 
1.9%
Other values (191) 662
66.1%
Lowercase Letter
ValueCountFrequency (%)
o 499
12.5%
r 410
10.3%
e 393
9.8%
s 377
9.4%
n 346
8.7%
a 321
 
8.0%
l 305
 
7.6%
i 257
 
6.4%
u 145
 
3.6%
d 135
 
3.4%
Other values (14) 810
20.3%
Uppercase Letter
ValueCountFrequency (%)
H 121
16.9%
B 97
13.6%
C 87
12.2%
G 77
10.8%
K 46
 
6.4%
M 46
 
6.4%
P 38
 
5.3%
R 25
 
3.5%
F 25
 
3.5%
S 23
 
3.2%
Other values (14) 130
18.2%
Other Punctuation
ValueCountFrequency (%)
' 35
53.0%
9
 
13.6%
. 7
 
10.6%
& 7
 
10.6%
: 5
 
7.6%
, 3
 
4.5%
Space Separator
ValueCountFrequency (%)
353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4713
76.4%
Hangul 1001
 
16.2%
Common 451
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
6.2%
46
 
4.6%
43
 
4.3%
37
 
3.7%
30
 
3.0%
29
 
2.9%
26
 
2.6%
24
 
2.4%
23
 
2.3%
19
 
1.9%
Other values (191) 662
66.1%
Latin
ValueCountFrequency (%)
o 499
 
10.6%
r 410
 
8.7%
e 393
 
8.3%
s 377
 
8.0%
n 346
 
7.3%
a 321
 
6.8%
l 305
 
6.5%
i 257
 
5.5%
u 145
 
3.1%
d 135
 
2.9%
Other values (38) 1525
32.4%
Common
ValueCountFrequency (%)
353
78.3%
' 35
 
7.8%
- 32
 
7.1%
9
 
2.0%
. 7
 
1.6%
& 7
 
1.6%
: 5
 
1.1%
, 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5155
83.6%
Hangul 1001
 
16.2%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 499
 
9.7%
r 410
 
8.0%
e 393
 
7.6%
s 377
 
7.3%
353
 
6.8%
n 346
 
6.7%
a 321
 
6.2%
l 305
 
5.9%
i 257
 
5.0%
u 145
 
2.8%
Other values (45) 1749
33.9%
Hangul
ValueCountFrequency (%)
62
 
6.2%
46
 
4.6%
43
 
4.3%
37
 
3.7%
30
 
3.0%
29
 
2.9%
26
 
2.6%
24
 
2.4%
23
 
2.3%
19
 
1.9%
Other values (191) 662
66.1%
None
ValueCountFrequency (%)
9
100.0%

발행년
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)2.7%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2017.3249
Minimum2003
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T01:25:07.367059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2007
Q12016
median2019
Q32020
95-th percentile2020
Maximum2020
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6334866
Coefficient of variation (CV)0.001801141
Kurtosis2.4374354
Mean2017.3249
Median Absolute Deviation (MAD)1
Skewness-1.7039215
Sum1036905
Variance13.202225
MonotonicityNot monotonic
2023-12-11T01:25:07.473246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2020 224
43.5%
2016 58
 
11.3%
2019 45
 
8.7%
2018 44
 
8.5%
2017 42
 
8.2%
2007 30
 
5.8%
2015 22
 
4.3%
2014 20
 
3.9%
2012 10
 
1.9%
2013 7
 
1.4%
Other values (4) 12
 
2.3%
ValueCountFrequency (%)
2003 2
 
0.4%
2007 30
5.8%
2009 2
 
0.4%
2010 7
 
1.4%
2011 1
 
0.2%
2012 10
 
1.9%
2013 7
 
1.4%
2014 20
 
3.9%
2015 22
 
4.3%
2016 58
11.3%
ValueCountFrequency (%)
2020 224
43.5%
2019 45
 
8.7%
2018 44
 
8.5%
2017 42
 
8.2%
2016 58
 
11.3%
2015 22
 
4.3%
2014 20
 
3.9%
2013 7
 
1.4%
2012 10
 
1.9%
2011 1
 
0.2%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
[정관]정관어린이도서관 아동자료실
392 
[정관]정관어린이도서관 유아자료실
79 
[정관]정관어린이도서관 일반자료
44 

Length

Max length18
Median length18
Mean length17.914563
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[정관]정관어린이도서관 아동자료실
2nd row[정관]정관어린이도서관 아동자료실
3rd row[정관]정관어린이도서관 아동자료실
4th row[정관]정관어린이도서관 아동자료실
5th row[정관]정관어린이도서관 아동자료실

Common Values

ValueCountFrequency (%)
[정관]정관어린이도서관 아동자료실 392
76.1%
[정관]정관어린이도서관 유아자료실 79
 
15.3%
[정관]정관어린이도서관 일반자료 44
 
8.5%

Length

2023-12-11T01:25:07.636386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:25:07.736113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]정관어린이도서관 515
50.0%
아동자료실 392
38.1%
유아자료실 79
 
7.7%
일반자료 44
 
4.3%

Interactions

2023-12-11T01:25:03.968050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:25:03.718165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:25:04.109625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:25:03.831700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:25:07.816721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.6450.911
발행년0.6451.0000.466
자료실명0.9110.4661.000
2023-12-11T01:25:07.953659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.6970.865
발행년0.6971.0000.332
자료실명0.8650.3321.000

Missing values

2023-12-11T01:25:04.304866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:25:04.432511image/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
01Mitzi's day outKoreaGaussKoreaGauss2007[정관]정관어린이도서관 아동자료실
12Amelia earhart : My first amelia earhartIsabel Sanchez Vegara ; illustrated by MariadiamantesFrances Lincoln Children's Books2018[정관]정관어린이도서관 아동자료실
23Audrey Hepburn : My first Audrey HepburnIsabel Sanchez Vegara ; illustrated by Amaia ArrazolaFrances Lincoln Children's Books2017[정관]정관어린이도서관 아동자료실
34Marie Curie : A first Introduction to Marie CurieIsabel Sanchez Vegara ; ilustrated by Frau IsaFrances Lincoln Children's Books2017[정관]정관어린이도서관 아동자료실
45Rosa ParksLisbeth Kaiser ; ilustrated by Marta AnteloFrances Lincoln Children's Books2017[정관]정관어린이도서관 아동자료실
56Amelia EarhartIsabel Sanchez Vegara ; illustrated by MariadiamantesFrances Lincoln Children's Books2016[정관]정관어린이도서관 아동자료실
67Anne frankIsabel Sanchez Vegara ; illustrated by Sveta DoroshevaFrances Lincoln Children's Books2018[정관]정관어린이도서관 아동자료실
78Audrey HepburnIsabel Sanchez Vegara ; illustrated by Amaia ArrazolaFrances Lincoln Children's Books2017[정관]정관어린이도서관 아동자료실
89Emmeline PankhurstLisbeth Kaiser ; ilustrated by Ana SanfelippoFrances Lincoln Children's Books2017[정관]정관어린이도서관 아동자료실
910Frida KahloMa Isabel Sanchez Vegara ; ilustrated by Gee Fan EngFrances Lincoln Children's Books2016[정관]정관어린이도서관 아동자료실
순번서명저작자발행자발행년자료실명
505506공부 열심히 한다고 안심하지 마세요 : 제대로 생각하고 제대로 공부하자안병조 지음프로방스2020[정관]정관어린이도서관 일반자료
506507공부는 정의로 나아가는 문이다 : 코로나 시대, 새로운 교육을 위하여인디고 서원 엮음궁리2020[정관]정관어린이도서관 일반자료
507508내일은 내일의 해가 뜨겠지만 오늘 밤은 어떡하나요연정 지음발코니2020[정관]정관어린이도서관 일반자료
508509다시, 일어서다 : 풍랑을 헤치고 다시 찾은 새로운 기회최용규 지음티움2020[정관]정관어린이도서관 일반자료
509510대학 가게? 그냥 사장 해!안병조,정효평 공저티움2018[정관]정관어린이도서관 일반자료
510511데미안헤르만 헤세 지음 ; 이영임 옮김을유문화사2020[정관]정관어린이도서관 일반자료
511512버킷프로젝트=Bucket project : 베스킨보다 소중한 나의 31가지 버킷리스트안병조 지음더로드2018[정관]정관어린이도서관 일반자료
512513여자 둘이 살고 있습니다 : 혼자도 결혼도 아닌, 조립식 가족의 탄생김하나,황선우 지음위즈덤하우스2019[정관]정관어린이도서관 일반자료
513514지리의 힘 : 지리는 어떻게 개인의 운명을, 세계사를, 세계 경제를 좌우하는가팀 마샬 지음 ; 김미선 옮김사이2016[정관]정관어린이도서관 일반자료
514515페인트 : 이희영 장편소설이희영 지음창비2019[정관]정관어린이도서관 일반자료