Overview

Dataset statistics

Number of variables14
Number of observations622
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.8 KiB
Average record size in memory113.2 B

Variable types

Numeric1
Categorical6
Text6
Unsupported1

Dataset

Description고덕평생학습관에서 소장하고 있는 특화자료(특수교육) 목록입니다. 어린이실, 문헌정보실에서 소장하고 있는 일반 도서와 디지털자료실에서 소장하고 있는 DVD 자료의 목록을 확인할 수 있습니다.
Author서울특별시교육청 서울특별시교육청고덕평생학습관
URLhttps://www.data.go.kr/data/15101499/fileData.do

Alerts

Unnamed: 1 is highly overall correlated with 어린이실 특화자료 목록(2022.6월 기준) and 2 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with 어린이실 특화자료 목록(2022.6월 기준) and 2 other fieldsHigh correlation
Unnamed: 2 is highly overall correlated with 어린이실 특화자료 목록(2022.6월 기준) and 2 other fieldsHigh correlation
Unnamed: 13 is highly overall correlated with 어린이실 특화자료 목록(2022.6월 기준) and 2 other fieldsHigh correlation
Unnamed: 3 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
Unnamed: 6 is highly overall correlated with Unnamed: 1 and 4 other fieldsHigh correlation
어린이실 특화자료 목록(2022.6월 기준) is highly overall correlated with Unnamed: 1 and 3 other fieldsHigh correlation
Unnamed: 1 is highly imbalanced (98.3%)Imbalance
Unnamed: 2 is highly imbalanced (98.3%)Imbalance
Unnamed: 6 is highly imbalanced (94.2%)Imbalance
Unnamed: 11 is highly imbalanced (98.3%)Imbalance
Unnamed: 13 is highly imbalanced (98.3%)Imbalance
Unnamed: 4 has unique valuesUnique
Unnamed: 5 has unique valuesUnique
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 01:35:23.038202
Analysis finished2023-12-12 01:35:24.853401
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

어린이실 특화자료 목록(2022.6월 기준)
Real number (ℝ)

HIGH CORRELATION 

Distinct621
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean311
Minimum1
Maximum621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-12T10:35:24.950656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32
Q1156
median311
Q3466
95-th percentile590
Maximum621
Range620
Interquartile range (IQR)310

Descriptive statistics

Standard deviation179.41154
Coefficient of variation (CV)0.57688597
Kurtosis-1.2
Mean311
Median Absolute Deviation (MAD)155
Skewness0
Sum193131
Variance32188.5
MonotonicityStrictly increasing
2023-12-12T10:35:25.175751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
418 1
 
0.2%
411 1
 
0.2%
412 1
 
0.2%
413 1
 
0.2%
414 1
 
0.2%
415 1
 
0.2%
416 1
 
0.2%
417 1
 
0.2%
419 1
 
0.2%
Other values (611) 611
98.2%
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 (%)
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%
617 1
0.2%
616 1
0.2%
615 1
0.2%
614 1
0.2%
613 1
0.2%
612 1
0.2%

Unnamed: 1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
고덕평생학습관
621 
관리구분
 
1

Length

Max length7
Median length7
Mean length6.9951768
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row관리구분
2nd row고덕평생학습관
3rd row고덕평생학습관
4th row고덕평생학습관
5th row고덕평생학습관

Common Values

ValueCountFrequency (%)
고덕평생학습관 621
99.8%
관리구분 1
 
0.2%

Length

2023-12-12T10:35:25.351577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:25.482820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고덕평생학습관 621
99.8%
관리구분 1
 
0.2%

Unnamed: 2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
일반
621 
이용제한구분
 
1

Length

Max length6
Median length2
Mean length2.0064309
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row이용제한구분
2nd row일반
3rd row일반
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
일반 621
99.8%
이용제한구분 1
 
0.2%

Length

2023-12-12T10:35:25.908073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:26.030127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 621
99.8%
이용제한구분 1
 
0.2%

Unnamed: 3
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
취학전 아동
297 
아동용
130 
129 
초등학생
57 
유아용
 
6
Other values (2)
 
3

Length

Max length24
Median length7
Mean length4.1832797
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row이용대상자정보
2nd row아동용
3rd row
4th row
5th row아동용

Common Values

ValueCountFrequency (%)
취학전 아동 297
47.7%
아동용 130
20.9%
129
20.7%
초등학생 57
 
9.2%
유아용 6
 
1.0%
특수계층(시각, 청각, 발달 등의 장애인용) 2
 
0.3%
이용대상자정보 1
 
0.2%

Length

2023-12-12T10:35:26.151714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:26.264529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취학전 297
37.2%
아동 297
37.2%
아동용 130
16.3%
초등학생 57
 
7.1%
유아용 6
 
0.8%
특수계층(시각 2
 
0.3%
청각 2
 
0.3%
발달 2
 
0.3%
등의 2
 
0.3%
장애인용 2
 
0.3%

Unnamed: 4
Text

UNIQUE 

Distinct622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T10:35:26.558574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.987138
Min length4

Characters and Unicode

Total characters7456
Distinct characters17
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)100.0%

Sample

1st row등록번호
2nd rowJUE000062232
3rd rowJUE000088504
4th rowJUE000088534
5th rowJUE000090228
ValueCountFrequency (%)
등록번호 1
 
0.2%
jue000109924 1
 
0.2%
jue000109918 1
 
0.2%
jue000109934 1
 
0.2%
jue000109919 1
 
0.2%
jue000109920 1
 
0.2%
jue000109921 1
 
0.2%
jue000109922 1
 
0.2%
jue000109923 1
 
0.2%
jue000109925 1
 
0.2%
Other values (612) 612
98.4%
2023-12-12T10:35:27.086916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2516
33.7%
1 907
 
12.2%
J 621
 
8.3%
U 621
 
8.3%
E 621
 
8.3%
9 532
 
7.1%
3 385
 
5.2%
6 311
 
4.2%
8 270
 
3.6%
7 235
 
3.2%
Other values (7) 437
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5589
75.0%
Uppercase Letter 1863
 
25.0%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2516
45.0%
1 907
 
16.2%
9 532
 
9.5%
3 385
 
6.9%
6 311
 
5.6%
8 270
 
4.8%
7 235
 
4.2%
4 158
 
2.8%
5 155
 
2.8%
2 120
 
2.1%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Uppercase Letter
ValueCountFrequency (%)
J 621
33.3%
U 621
33.3%
E 621
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 5589
75.0%
Latin 1863
 
25.0%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2516
45.0%
1 907
 
16.2%
9 532
 
9.5%
3 385
 
6.9%
6 311
 
5.6%
8 270
 
4.8%
7 235
 
4.2%
4 158
 
2.8%
5 155
 
2.8%
2 120
 
2.1%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
J 621
33.3%
U 621
33.3%
E 621
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7452
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2516
33.8%
1 907
 
12.2%
J 621
 
8.3%
U 621
 
8.3%
E 621
 
8.3%
9 532
 
7.1%
3 385
 
5.2%
6 311
 
4.2%
8 270
 
3.6%
7 235
 
3.2%
Other values (3) 433
 
5.8%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Unnamed: 5
Text

UNIQUE 

Distinct622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T10:35:27.412685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length15.977492
Min length4

Characters and Unicode

Total characters9938
Distinct characters88
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)100.0%

Sample

1st row청구기호
2nd row아특 863-ㅇ153ㅊ
3rd row아특 813.8-ㅇ618ㅂ-[3]=2
4th row아특 388.311-ㄱ513ㅅ-13
5th row아특 808.9-ㅇ947ㄴ-82=2
ValueCountFrequency (%)
아특 621
50.0%
308-c968s-2-4 1
 
0.1%
308-c968s-1-3 1
 
0.1%
308-c968s-4-4 1
 
0.1%
308-c968s-1-4 1
 
0.1%
308-c968s-1-5 1
 
0.1%
308-c968s-2-1 1
 
0.1%
308-c968s-2-2 1
 
0.1%
308-c968s-2-3 1
 
0.1%
308-c968s-2-5 1
 
0.1%
Other values (613) 613
49.3%
2023-12-12T10:35:27.941488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1224
12.3%
- 931
 
9.4%
3 816
 
8.2%
1 695
 
7.0%
628
 
6.3%
621
 
6.2%
621
 
6.2%
2 521
 
5.2%
. 499
 
5.0%
9 436
 
4.4%
Other values (78) 2946
29.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5076
51.1%
Other Letter 2433
24.5%
Dash Punctuation 931
 
9.4%
Space Separator 621
 
6.2%
Other Punctuation 499
 
5.0%
Math Symbol 330
 
3.3%
Uppercase Letter 20
 
0.2%
Lowercase Letter 20
 
0.2%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
628
25.8%
621
25.5%
208
 
8.5%
142
 
5.8%
134
 
5.5%
94
 
3.9%
88
 
3.6%
71
 
2.9%
69
 
2.8%
56
 
2.3%
Other values (60) 322
13.2%
Decimal Number
ValueCountFrequency (%)
8 1224
24.1%
3 816
16.1%
1 695
13.7%
2 521
10.3%
9 436
 
8.6%
4 342
 
6.7%
5 315
 
6.2%
6 280
 
5.5%
7 253
 
5.0%
0 194
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 931
100.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 499
100.0%
Math Symbol
ValueCountFrequency (%)
= 330
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 20
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
] 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7465
75.1%
Hangul 2433
 
24.5%
Latin 40
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
628
25.8%
621
25.5%
208
 
8.5%
142
 
5.8%
134
 
5.5%
94
 
3.9%
88
 
3.6%
71
 
2.9%
69
 
2.8%
56
 
2.3%
Other values (60) 322
13.2%
Common
ValueCountFrequency (%)
8 1224
16.4%
- 931
12.5%
3 816
10.9%
1 695
9.3%
621
8.3%
2 521
7.0%
. 499
6.7%
9 436
 
5.8%
4 342
 
4.6%
= 330
 
4.4%
Other values (6) 1050
14.1%
Latin
ValueCountFrequency (%)
C 20
50.0%
s 20
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7505
75.5%
Hangul 1365
 
13.7%
Compat Jamo 1068
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1224
16.3%
- 931
12.4%
3 816
10.9%
1 695
9.3%
621
8.3%
2 521
6.9%
. 499
6.6%
9 436
 
5.8%
4 342
 
4.6%
= 330
 
4.4%
Other values (8) 1090
14.5%
Hangul
ValueCountFrequency (%)
628
46.0%
621
45.5%
14
 
1.0%
12
 
0.9%
9
 
0.7%
7
 
0.5%
5
 
0.4%
4
 
0.3%
4
 
0.3%
4
 
0.3%
Other values (42) 57
 
4.2%
Compat Jamo
ValueCountFrequency (%)
208
19.5%
142
13.3%
134
12.5%
94
8.8%
88
8.2%
71
 
6.6%
69
 
6.5%
56
 
5.2%
47
 
4.4%
36
 
3.4%
Other values (8) 123
11.5%

Unnamed: 6
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
[고덕]어린이실
614 
[고덕]유아실
 
5
[고덕]교과도서
 
2
자료실명
 
1

Length

Max length8
Median length8
Mean length7.9855305
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row자료실명
2nd row[고덕]어린이실
3rd row[고덕]어린이실
4th row[고덕]어린이실
5th row[고덕]어린이실

Common Values

ValueCountFrequency (%)
[고덕]어린이실 614
98.7%
[고덕]유아실 5
 
0.8%
[고덕]교과도서 2
 
0.3%
자료실명 1
 
0.2%

Length

2023-12-12T10:35:28.147036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:28.302725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고덕]어린이실 614
98.7%
고덕]유아실 5
 
0.8%
고덕]교과도서 2
 
0.3%
자료실명 1
 
0.2%
Distinct618
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T10:35:28.701150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length14.882637
Min length2

Characters and Unicode

Total characters9257
Distinct characters706
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique614 ?
Unique (%)98.7%

Sample

1st row서명
2nd row춤추는 휠체어 : 열네 살 까탈소녀 루이즈의 희망다이어리
3rd row바빠요 바빠
4th row밤똥 참기
5th row내 마음대로
ValueCountFrequency (%)
더책 336
 
13.4%
129
 
5.1%
그림책 45
 
1.8%
23
 
0.9%
빅북 20
 
0.8%
16
 
0.6%
전래동화 15
 
0.6%
우리 15
 
0.6%
이야기 14
 
0.6%
who 10
 
0.4%
Other values (1451) 1884
75.1%
2023-12-12T10:35:29.335642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1899
 
20.5%
392
 
4.2%
[ 359
 
3.9%
] 359
 
3.9%
347
 
3.7%
175
 
1.9%
: 109
 
1.2%
103
 
1.1%
99
 
1.1%
89
 
1.0%
Other values (696) 5326
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5730
61.9%
Space Separator 1899
 
20.5%
Lowercase Letter 470
 
5.1%
Open Punctuation 398
 
4.3%
Close Punctuation 398
 
4.3%
Other Punctuation 248
 
2.7%
Uppercase Letter 67
 
0.7%
Decimal Number 27
 
0.3%
Math Symbol 18
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
392
 
6.8%
347
 
6.1%
175
 
3.1%
103
 
1.8%
99
 
1.7%
89
 
1.6%
84
 
1.5%
76
 
1.3%
69
 
1.2%
68
 
1.2%
Other values (629) 4228
73.8%
Lowercase Letter
ValueCountFrequency (%)
a 55
11.7%
e 47
10.0%
n 44
9.4%
i 44
9.4%
o 37
 
7.9%
h 31
 
6.6%
t 31
 
6.6%
s 30
 
6.4%
r 28
 
6.0%
l 20
 
4.3%
Other values (12) 103
21.9%
Uppercase Letter
ValueCountFrequency (%)
W 10
14.9%
S 6
 
9.0%
T 6
 
9.0%
H 6
 
9.0%
C 6
 
9.0%
L 4
 
6.0%
G 4
 
6.0%
O 3
 
4.5%
N 3
 
4.5%
E 3
 
4.5%
Other values (11) 16
23.9%
Decimal Number
ValueCountFrequency (%)
0 8
29.6%
6 4
14.8%
1 4
14.8%
3 3
 
11.1%
8 2
 
7.4%
7 2
 
7.4%
2 2
 
7.4%
4 1
 
3.7%
9 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
: 109
44.0%
! 55
22.2%
? 35
 
14.1%
, 34
 
13.7%
. 8
 
3.2%
' 4
 
1.6%
· 2
 
0.8%
% 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
[ 359
90.2%
( 39
 
9.8%
Close Punctuation
ValueCountFrequency (%)
] 359
90.2%
) 39
 
9.8%
Space Separator
ValueCountFrequency (%)
1899
100.0%
Math Symbol
ValueCountFrequency (%)
= 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5730
61.9%
Common 2990
32.3%
Latin 537
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
392
 
6.8%
347
 
6.1%
175
 
3.1%
103
 
1.8%
99
 
1.7%
89
 
1.6%
84
 
1.5%
76
 
1.3%
69
 
1.2%
68
 
1.2%
Other values (629) 4228
73.8%
Latin
ValueCountFrequency (%)
a 55
 
10.2%
e 47
 
8.8%
n 44
 
8.2%
i 44
 
8.2%
o 37
 
6.9%
h 31
 
5.8%
t 31
 
5.8%
s 30
 
5.6%
r 28
 
5.2%
l 20
 
3.7%
Other values (33) 170
31.7%
Common
ValueCountFrequency (%)
1899
63.5%
[ 359
 
12.0%
] 359
 
12.0%
: 109
 
3.6%
! 55
 
1.8%
) 39
 
1.3%
( 39
 
1.3%
? 35
 
1.2%
, 34
 
1.1%
= 18
 
0.6%
Other values (14) 44
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5727
61.9%
ASCII 3525
38.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1899
53.9%
[ 359
 
10.2%
] 359
 
10.2%
: 109
 
3.1%
a 55
 
1.6%
! 55
 
1.6%
e 47
 
1.3%
n 44
 
1.2%
i 44
 
1.2%
) 39
 
1.1%
Other values (56) 515
 
14.6%
Hangul
ValueCountFrequency (%)
392
 
6.8%
347
 
6.1%
175
 
3.1%
103
 
1.8%
99
 
1.7%
89
 
1.6%
84
 
1.5%
76
 
1.3%
69
 
1.2%
68
 
1.2%
Other values (626) 4225
73.8%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct519
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T10:35:29.778126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length51
Mean length15.771704
Min length3

Characters and Unicode

Total characters9810
Distinct characters430
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique470 ?
Unique (%)75.6%

Sample

1st row저작자
2nd row야엘 아쌍 지음 ; 박아르마 옮김
3rd row윤구명 글 ; 이태수 그림
4th row이춘희 글 ; 심은숙 그림
5th row이현 글 ; 김주현 그림
ValueCountFrequency (%)
461
 
15.5%
그림 306
 
10.3%
259
 
8.7%
글·그림 167
 
5.6%
옮김 136
 
4.6%
지음 88
 
3.0%
bf북스 20
 
0.7%
by 20
 
0.7%
20
 
0.7%
지은이 17
 
0.6%
Other values (950) 1489
49.9%
2023-12-12T10:35:30.426480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2363
24.1%
493
 
5.0%
492
 
5.0%
; 471
 
4.8%
441
 
4.5%
291
 
3.0%
231
 
2.4%
: 200
 
2.0%
· 173
 
1.8%
154
 
1.6%
Other values (420) 4501
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6149
62.7%
Space Separator 2363
 
24.1%
Other Punctuation 866
 
8.8%
Lowercase Letter 258
 
2.6%
Uppercase Letter 85
 
0.9%
Open Punctuation 43
 
0.4%
Close Punctuation 43
 
0.4%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
493
 
8.0%
492
 
8.0%
441
 
7.2%
291
 
4.7%
231
 
3.8%
154
 
2.5%
145
 
2.4%
108
 
1.8%
106
 
1.7%
96
 
1.6%
Other values (379) 3592
58.4%
Lowercase Letter
ValueCountFrequency (%)
a 39
15.1%
y 35
13.6%
n 32
12.4%
e 25
9.7%
b 25
9.7%
l 25
9.7%
s 16
6.2%
o 15
 
5.8%
i 15
 
5.8%
r 15
 
5.8%
Other values (7) 16
6.2%
Uppercase Letter
ValueCountFrequency (%)
F 20
23.5%
B 20
23.5%
T 6
 
7.1%
L 5
 
5.9%
R 5
 
5.9%
C 5
 
5.9%
D 5
 
5.9%
M 5
 
5.9%
K 5
 
5.9%
A 5
 
5.9%
Other values (2) 4
 
4.7%
Other Punctuation
ValueCountFrequency (%)
; 471
54.4%
: 200
23.1%
· 173
 
20.0%
, 18
 
2.1%
. 3
 
0.3%
1
 
0.1%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
2363
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 43
100.0%
Close Punctuation
ValueCountFrequency (%)
] 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6143
62.6%
Common 3318
33.8%
Latin 343
 
3.5%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
493
 
8.0%
492
 
8.0%
441
 
7.2%
291
 
4.7%
231
 
3.8%
154
 
2.5%
145
 
2.4%
108
 
1.8%
106
 
1.7%
96
 
1.6%
Other values (373) 3586
58.4%
Latin
ValueCountFrequency (%)
a 39
11.4%
y 35
 
10.2%
n 32
 
9.3%
e 25
 
7.3%
b 25
 
7.3%
l 25
 
7.3%
F 20
 
5.8%
B 20
 
5.8%
s 16
 
4.7%
o 15
 
4.4%
Other values (19) 91
26.5%
Common
ValueCountFrequency (%)
2363
71.2%
; 471
 
14.2%
: 200
 
6.0%
· 173
 
5.2%
[ 43
 
1.3%
] 43
 
1.3%
, 18
 
0.5%
. 3
 
0.1%
- 1
 
< 0.1%
6 1
 
< 0.1%
Other values (2) 2
 
0.1%
Han
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6143
62.6%
ASCII 3487
35.5%
None 173
 
1.8%
CJK 6
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2363
67.8%
; 471
 
13.5%
: 200
 
5.7%
[ 43
 
1.2%
] 43
 
1.2%
a 39
 
1.1%
y 35
 
1.0%
n 32
 
0.9%
e 25
 
0.7%
b 25
 
0.7%
Other values (29) 211
 
6.1%
Hangul
ValueCountFrequency (%)
493
 
8.0%
492
 
8.0%
441
 
7.2%
291
 
4.7%
231
 
3.8%
154
 
2.5%
145
 
2.4%
108
 
1.8%
106
 
1.7%
96
 
1.6%
Other values (373) 3586
58.4%
None
ValueCountFrequency (%)
· 173
100.0%
CJK
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct101
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T10:35:30.761712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length5.6205788
Min length2

Characters and Unicode

Total characters3496
Distinct characters193
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)6.8%

Sample

1st row발행자
2nd row한울림스페셜
3rd row보리
4th row사파리 :이퍼블릭
5th row도서출판 마루벌
ValueCountFrequency (%)
창비 62
 
7.9%
천개의바람 45
 
5.7%
미디어창비 33
 
4.2%
책읽는곰 32
 
4.1%
노란돼지 25
 
3.2%
북극곰 22
 
2.8%
시공주니어 21
 
2.7%
시공사 21
 
2.7%
seed 20
 
2.5%
learning 20
 
2.5%
Other values (104) 487
61.8%
2023-12-12T10:35:31.243131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
 
8.4%
135
 
3.9%
: 129
 
3.7%
112
 
3.2%
84
 
2.4%
82
 
2.3%
68
 
1.9%
e 61
 
1.7%
59
 
1.7%
57
 
1.6%
Other values (183) 2415
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2671
76.4%
Space Separator 294
 
8.4%
Lowercase Letter 277
 
7.9%
Other Punctuation 130
 
3.7%
Uppercase Letter 118
 
3.4%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
135
 
5.1%
112
 
4.2%
84
 
3.1%
82
 
3.1%
68
 
2.5%
59
 
2.2%
57
 
2.1%
54
 
2.0%
50
 
1.9%
49
 
1.8%
Other values (153) 1921
71.9%
Lowercase Letter
ValueCountFrequency (%)
e 61
22.0%
n 51
18.4%
a 42
15.2%
i 32
11.6%
d 31
11.2%
g 21
 
7.6%
r 20
 
7.2%
s 10
 
3.6%
m 6
 
2.2%
c 1
 
0.4%
Other values (2) 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 21
17.8%
L 20
16.9%
F 20
16.9%
S 20
16.9%
K 11
9.3%
M 10
8.5%
D 10
8.5%
O 2
 
1.7%
I 2
 
1.7%
J 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 129
99.2%
& 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Space Separator
ValueCountFrequency (%)
294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2671
76.4%
Common 430
 
12.3%
Latin 395
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
135
 
5.1%
112
 
4.2%
84
 
3.1%
82
 
3.1%
68
 
2.5%
59
 
2.2%
57
 
2.1%
54
 
2.0%
50
 
1.9%
49
 
1.8%
Other values (153) 1921
71.9%
Latin
ValueCountFrequency (%)
e 61
15.4%
n 51
12.9%
a 42
10.6%
i 32
8.1%
d 31
7.8%
g 21
 
5.3%
B 21
 
5.3%
L 20
 
5.1%
F 20
 
5.1%
r 20
 
5.1%
Other values (13) 76
19.2%
Common
ValueCountFrequency (%)
294
68.4%
: 129
30.0%
( 2
 
0.5%
) 2
 
0.5%
[ 1
 
0.2%
& 1
 
0.2%
] 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2671
76.4%
ASCII 825
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
35.6%
: 129
15.6%
e 61
 
7.4%
n 51
 
6.2%
a 42
 
5.1%
i 32
 
3.9%
d 31
 
3.8%
g 21
 
2.5%
B 21
 
2.5%
L 20
 
2.4%
Other values (20) 123
14.9%
Hangul
ValueCountFrequency (%)
135
 
5.1%
112
 
4.2%
84
 
3.1%
82
 
3.1%
68
 
2.5%
59
 
2.2%
57
 
2.1%
54
 
2.0%
50
 
1.9%
49
 
1.8%
Other values (153) 1921
71.9%

Unnamed: 10
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size5.0 KiB

Unnamed: 11
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
621 
구분
 
1

Length

Max length2
Median length1
Mean length1.0016077
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row구분
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
621
99.8%
구분 1
 
0.2%

Length

2023-12-12T10:35:31.477365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:31.616668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
621
99.8%
구분 1
 
0.2%
Distinct412
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T10:35:31.853362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length42
Mean length19.438907
Min length4

Characters and Unicode

Total characters12091
Distinct characters72
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)52.1%

Sample

1st row형태사항
2nd row167 p.;19 cm
3rd row[25] p.:천연색삽화;23 x 26 cm
4th row[30] p.:천연색삽화;25 x 28 cm+DVD 1매
5th row[29 p.]:천연색삽화;25 cm
ValueCountFrequency (%)
cm 613
29.0%
× 81
 
3.8%
x 73
 
3.5%
32 70
 
3.3%
p.:천연색삽화;26 70
 
3.3%
p.:천연색삽화;25 60
 
2.8%
p.:천연색삽화;23 51
 
2.4%
31 45
 
2.1%
40 45
 
2.1%
p.:천연색삽화;29 44
 
2.1%
Other values (182) 962
45.5%
2023-12-12T10:35:32.314126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1496
 
12.4%
2 868
 
7.2%
c 642
 
5.3%
; 622
 
5.1%
m 622
 
5.1%
: 618
 
5.1%
598
 
4.9%
597
 
4.9%
587
 
4.9%
587
 
4.9%
Other values (62) 4854
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3207
26.5%
Decimal Number 2757
22.8%
Lowercase Letter 1968
16.3%
Other Punctuation 1815
15.0%
Space Separator 1496
12.4%
Open Punctuation 369
 
3.1%
Close Punctuation 369
 
3.1%
Math Symbol 91
 
0.8%
Uppercase Letter 18
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
598
18.6%
597
18.6%
587
18.3%
587
18.3%
587
18.3%
95
 
3.0%
43
 
1.3%
40
 
1.2%
6
 
0.2%
6
 
0.2%
Other values (26) 61
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 868
31.5%
3 463
16.8%
1 287
 
10.4%
4 239
 
8.7%
6 207
 
7.5%
5 168
 
6.1%
0 138
 
5.0%
9 135
 
4.9%
8 130
 
4.7%
7 122
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
c 642
32.6%
m 622
31.6%
p 529
26.9%
x 75
 
3.8%
l 60
 
3.0%
i 20
 
1.0%
o 20
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
D 8
44.4%
V 3
 
16.7%
M 2
 
11.1%
C 2
 
11.1%
O 1
 
5.6%
R 1
 
5.6%
P 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
; 622
34.3%
: 618
34.0%
. 570
31.4%
, 5
 
0.3%
Open Punctuation
ValueCountFrequency (%)
[ 353
95.7%
( 16
 
4.3%
Close Punctuation
ValueCountFrequency (%)
] 353
95.7%
) 16
 
4.3%
Math Symbol
ValueCountFrequency (%)
× 85
93.4%
+ 6
 
6.6%
Space Separator
ValueCountFrequency (%)
1496
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6898
57.1%
Hangul 3207
26.5%
Latin 1986
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
598
18.6%
597
18.6%
587
18.3%
587
18.3%
587
18.3%
95
 
3.0%
43
 
1.3%
40
 
1.2%
6
 
0.2%
6
 
0.2%
Other values (26) 61
 
1.9%
Common
ValueCountFrequency (%)
1496
21.7%
2 868
12.6%
; 622
9.0%
: 618
9.0%
. 570
 
8.3%
3 463
 
6.7%
[ 353
 
5.1%
] 353
 
5.1%
1 287
 
4.2%
4 239
 
3.5%
Other values (12) 1029
14.9%
Latin
ValueCountFrequency (%)
c 642
32.3%
m 622
31.3%
p 529
26.6%
x 75
 
3.8%
l 60
 
3.0%
i 20
 
1.0%
o 20
 
1.0%
D 8
 
0.4%
V 3
 
0.2%
M 2
 
0.1%
Other values (4) 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8799
72.8%
Hangul 3207
 
26.5%
None 85
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1496
17.0%
2 868
9.9%
c 642
 
7.3%
; 622
 
7.1%
m 622
 
7.1%
: 618
 
7.0%
. 570
 
6.5%
p 529
 
6.0%
3 463
 
5.3%
[ 353
 
4.0%
Other values (25) 2016
22.9%
Hangul
ValueCountFrequency (%)
598
18.6%
597
18.6%
587
18.3%
587
18.3%
587
18.3%
95
 
3.0%
43
 
1.3%
40
 
1.2%
6
 
0.2%
6
 
0.2%
Other values (26) 61
 
1.9%
None
ValueCountFrequency (%)
× 85
100.0%

Unnamed: 13
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
정상
621 
파오손상태
 
1

Length

Max length5
Median length2
Mean length2.0048232
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row파오손상태
2nd row정상
3rd row정상
4th row정상
5th row정상

Common Values

ValueCountFrequency (%)
정상 621
99.8%
파오손상태 1
 
0.2%

Length

2023-12-12T10:35:32.508641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:32.663862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 621
99.8%
파오손상태 1
 
0.2%

Interactions

2023-12-12T10:35:24.364866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:35:32.748949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이실 특화자료 목록(2022.6월 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 6Unnamed: 11Unnamed: 13
어린이실 특화자료 목록(2022.6월 기준)1.000NaNNaN0.4630.128NaNNaN
Unnamed: 1NaN1.0000.7051.0001.0000.7050.705
Unnamed: 2NaN0.7051.0001.0001.0000.7050.705
Unnamed: 30.4631.0001.0001.0000.7151.0001.000
Unnamed: 60.1281.0001.0000.7151.0001.0001.000
Unnamed: 11NaN0.7050.7051.0001.0001.0000.705
Unnamed: 13NaN0.7050.7051.0001.0000.7051.000
2023-12-12T10:35:32.926816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 11Unnamed: 2Unnamed: 13Unnamed: 3Unnamed: 6
Unnamed: 11.0000.4980.4980.4980.9960.998
Unnamed: 110.4981.0000.4980.4980.9960.998
Unnamed: 20.4980.4981.0000.4980.9960.998
Unnamed: 130.4980.4980.4981.0000.9960.998
Unnamed: 30.9960.9960.9960.9961.0000.584
Unnamed: 60.9980.9980.9980.9980.5841.000
2023-12-12T10:35:33.050429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어린이실 특화자료 목록(2022.6월 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 6Unnamed: 11Unnamed: 13
어린이실 특화자료 목록(2022.6월 기준)1.0001.0001.0000.2650.0761.0001.000
Unnamed: 11.0001.0000.4980.9960.9980.4980.498
Unnamed: 21.0000.4981.0000.9960.9980.4980.498
Unnamed: 30.2650.9960.9961.0000.5840.9960.996
Unnamed: 60.0760.9980.9980.5841.0000.9980.998
Unnamed: 111.0000.4980.4980.9960.9981.0000.498
Unnamed: 131.0000.4980.4980.9960.9980.4981.000

Missing values

2023-12-12T10:35:24.543390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:35:24.769304image/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

어린이실 특화자료 목록(2022.6월 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
0<NA>관리구분이용제한구분이용대상자정보등록번호청구기호자료실명서명저작자발행자발행년구분형태사항파오손상태
11고덕평생학습관일반아동용JUE000062232아특 863-ㅇ153ㅊ[고덕]어린이실춤추는 휠체어 : 열네 살 까탈소녀 루이즈의 희망다이어리야엘 아쌍 지음 ; 박아르마 옮김한울림스페셜2008167 p.;19 cm정상
22고덕평생학습관일반JUE000088504아특 813.8-ㅇ618ㅂ-[3]=2[고덕]어린이실바빠요 바빠윤구명 글 ; 이태수 그림보리2014[25] p.:천연색삽화;23 x 26 cm정상
33고덕평생학습관일반JUE000088534아특 388.311-ㄱ513ㅅ-13[고덕]어린이실밤똥 참기이춘희 글 ; 심은숙 그림사파리 :이퍼블릭2013[30] p.:천연색삽화;25 x 28 cm+DVD 1매정상
44고덕평생학습관일반아동용JUE000090228아특 808.9-ㅇ947ㄴ-82=2[고덕]어린이실내 마음대로이현 글 ; 김주현 그림도서출판 마루벌2013[29 p.]:천연색삽화;25 cm정상
55고덕평생학습관일반아동용JUE000091766아특 813.8-ㄱ937우=4[고덕]어린이실6번길을 지켜라 뚝딱김중미 글 ; 도르리 그리고 만듦 ; 유동훈 찍음낮은산2015[51] p.:천연색삽화;29 cm정상
66고덕평생학습관일반아동용JUE000091767아특 813.8-ㅈ188ㄱ=2[고덕]어린이실가지를 자르는 나무장정인 글·그림양철북2012[27] p.:천연색삽화;25 cm정상
77고덕평생학습관일반취학전 아동JUE000091768아특 813.8-ㅎ287가=3[고덕]어린이실강아지 복실이한미호 글 ; 김유대 그림국민서관201536 p.:천연색삽화;30 cm정상
88고덕평생학습관일반취학전 아동JUE000091769아특 811.8-ㅇ527ㅊ-15=3[고덕]어린이실강아지와 염소 새끼권정생 글 ; 김병하 그림창비201548 p.:천연색삽화;22 cm정상
99고덕평생학습관일반취학전 아동JUE000091770아특 811.8-ㅂ698ㄱ[고덕]어린이실개구리네 한솥밥백석 글 ; 오치근 그림소년한길 :토마토하우스2012[30] p.:천연색삽화;31 cm정상
어린이실 특화자료 목록(2022.6월 기준)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
612612고덕평생학습관일반초등학생JUE000114787아특 853-ㄴ96ㅋ[고덕]어린이실카이와 그레타 : 발달장애 친구가 생겼다!지은이: 주타 님피우스 ; 그린이: 바바라 융 ; 옮긴이: 최성욱한울림스페셜2020175 p.:삽화;21 cm정상
613613고덕평생학습관일반아동용JUE000114795아특 808.9-ㅈ164ㅎ-14[고덕]어린이실오늘은 우리 집에 갈래?전해숙 지음한울림스페셜 :한울림2020[33] p.:천연색삽화;25 cm정상
614614고덕평생학습관일반취학전 아동JUE000114880아특 863-ㅅ378구[고덕]어린이실귀 없는 그래요글: 스테판 세르방 ; 그림: 시모네 레아 ; 김현아 옮김한울림스페셜 :한울림2018[32] p.:천연색삽화;29 cm정상
615615고덕평생학습관일반아동용JUE000114910아특 808.9-ㄱ335고-13[고덕]어린이실날아라 당당이지은이: 조연화고래책빵2020[48] p.:천연색삽화;21 × 30 cm정상
616616고덕평생학습관일반취학전 아동JUE000114918아특 808.9-ㅈ164ㅎ-8[고덕]어린이실누나에겐 혼자만의 세상이 있어글: 마르코 베레토니 카라라 ; 그림: 치아라 카레르 ; 주효숙 옮김한울림스페셜2017[24] p.:천연색삽화;23 × 23 cm정상
617617고덕평생학습관일반아동용JUE000114923아특 808.9-ㅈ164ㅎ-1[고덕]어린이실눈을 감아야 보이는 세상로저 올모스 지음 ; 황지영 옮김한울림 :한울림스페셜2021[48] p.:천연색삽화;28 cm정상
618618고덕평생학습관일반아동용JUE000114981아특 808.9-ㅈ164ㅎ-2[고덕]어린이실세 바퀴로 걷는 염소 조이글·그림: 페리던 오랄 ; 이난아 옮김한울림스페셜 :한울림202156 p.:천연색삽화;27 cm정상
619619고덕평생학습관일반초등학생JUE000114989아특 813.8-ㅈ876ㄱ-76[고덕]어린이실소리당번 : 시각장애 어린이들의 꿈과 우정 이야기글: 김희철 ; 그림: 이소영가문비어린이 :가문비201883 p.:천연색삽화;24 cm정상
620620고덕평생학습관일반취학전 아동JUE000115049아특 808.9-ㅈ164ㅎ-9[고덕]어린이실우리와 다른 아이글: 엘리사 마졸리 ; 그림: 소니아 마리아 루체 포센티니 ; 유지연 옮김한울림스페셜2021(4쇄)[38] p.:천연색삽화;27×19 cm정상
621621고덕평생학습관일반아동용JUE000115203아특 813.8-ㄱ392ㅎ[고덕]어린이실학교가 사라진 날글: 고정욱 ; 그림: 허구한솔수북2022120 p.:천연색삽화;25 cm정상