Overview

Dataset statistics

Number of variables6
Number of observations211
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory50.6 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시 기장군_대라다목적도서관 신착자료 현황(서명, 저작자, 발행자, 발행년, 자료실명)에 대한 데이터입니다
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15060477/fileData.do

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 started2024-03-16 06:44:58.833259
Analysis finished2024-03-16 06:45:07.999640
Duration9.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct211
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106
Minimum1
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-16T06:45:08.230294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.5
Q153.5
median106
Q3158.5
95-th percentile200.5
Maximum211
Range210
Interquartile range (IQR)105

Descriptive statistics

Standard deviation61.05462
Coefficient of variation (CV)0.57598698
Kurtosis-1.2
Mean106
Median Absolute Deviation (MAD)53
Skewness0
Sum22366
Variance3727.6667
MonotonicityStrictly increasing
2024-03-16T06:45:08.650764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
134 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
Other values (201) 201
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%

서명
Text

UNIQUE 

Distinct211
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-16T06:45:09.291359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length41
Mean length23.597156
Min length3

Characters and Unicode

Total characters4979
Distinct characters605
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

Unique211 ?
Unique (%)100.0%

Sample

1st row100만 클릭 터지는 독한 필살기
2nd row1분 말하기 기술 결정적 순간에 꺼내 쓰는 직장 생활 치트키
3rd row(2024)트렌드 노트 라이프-스타일 마침내 분화
4th rowAI 2024 트렌드 & 활용백과
5th row(누구나 쉽게 디자인으로)돈 벌게 해주는 캔바(Canva) 디지털 노마드 N잡러들의 필독서
ValueCountFrequency (%)
우리 10
 
0.8%
위한 9
 
0.7%
나는 8
 
0.6%
장편소설 8
 
0.6%
이야기 6
 
0.5%
반 6
 
0.5%
그림책 6
 
0.5%
내 6
 
0.5%
과학 6
 
0.5%
위대한 5
 
0.4%
Other values (1037) 1192
94.5%
2024-03-16T06:45:10.625400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1161
 
23.3%
이 100
 
2.0%
는 97
 
1.9%
의 77
 
1.5%
리 58
 
1.2%
가 55
 
1.1%
지 53
 
1.1%
하 47
 
0.9%
기 46
 
0.9%
어 45
 
0.9%
Other values (595) 3240
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3523
70.8%
Space Separator 1161
 
23.3%
Lowercase Letter 92
 
1.8%
Decimal Number 73
 
1.5%
Other Punctuation 40
 
0.8%
Uppercase Letter 34
 
0.7%
Close Punctuation 23
 
0.5%
Open Punctuation 23
 
0.5%
Math Symbol 8
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 100
 
2.8%
는 97
 
2.8%
의 77
 
2.2%
리 58
 
1.6%
가 55
 
1.6%
지 53
 
1.5%
하 47
 
1.3%
기 46
 
1.3%
어 45
 
1.3%
에 42
 
1.2%
Other values (538) 2903
82.4%
Lowercase Letter
ValueCountFrequency (%)
n 10
10.9%
t 9
9.8%
i 9
9.8%
o 8
 
8.7%
s 8
 
8.7%
e 7
 
7.6%
h 6
 
6.5%
c 5
 
5.4%
r 5
 
5.4%
m 4
 
4.3%
Other values (10) 21
22.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
17.6%
I 6
17.6%
E 4
11.8%
P 3
8.8%
W 3
8.8%
T 2
 
5.9%
Q 1
 
2.9%
K 1
 
2.9%
U 1
 
2.9%
A 1
 
2.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
1 29
39.7%
0 19
26.0%
2 11
 
15.1%
3 6
 
8.2%
4 3
 
4.1%
5 2
 
2.7%
8 1
 
1.4%
9 1
 
1.4%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
! 24
60.0%
· 7
 
17.5%
. 5
 
12.5%
' 2
 
5.0%
& 1
 
2.5%
% 1
 
2.5%
Math Symbol
ValueCountFrequency (%)
= 7
87.5%
| 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3523
70.8%
Common 1330
 
26.7%
Latin 126
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 100
 
2.8%
는 97
 
2.8%
의 77
 
2.2%
리 58
 
1.6%
가 55
 
1.6%
지 53
 
1.5%
하 47
 
1.3%
기 46
 
1.3%
어 45
 
1.3%
에 42
 
1.2%
Other values (538) 2903
82.4%
Latin
ValueCountFrequency (%)
n 10
 
7.9%
t 9
 
7.1%
i 9
 
7.1%
o 8
 
6.3%
s 8
 
6.3%
e 7
 
5.6%
h 6
 
4.8%
S 6
 
4.8%
I 6
 
4.8%
c 5
 
4.0%
Other values (26) 52
41.3%
Common
ValueCountFrequency (%)
1161
87.3%
1 29
 
2.2%
! 24
 
1.8%
) 23
 
1.7%
( 23
 
1.7%
0 19
 
1.4%
2 11
 
0.8%
= 7
 
0.5%
· 7
 
0.5%
3 6
 
0.5%
Other values (11) 20
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3519
70.7%
ASCII 1449
29.1%
None 7
 
0.1%
Compat Jamo 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1161
80.1%
1 29
 
2.0%
! 24
 
1.7%
) 23
 
1.6%
( 23
 
1.6%
0 19
 
1.3%
2 11
 
0.8%
n 10
 
0.7%
t 9
 
0.6%
i 9
 
0.6%
Other values (46) 131
 
9.0%
Hangul
ValueCountFrequency (%)
이 100
 
2.8%
는 97
 
2.8%
의 77
 
2.2%
리 58
 
1.6%
가 55
 
1.6%
지 53
 
1.5%
하 47
 
1.3%
기 46
 
1.3%
어 45
 
1.3%
에 42
 
1.2%
Other values (534) 2899
82.4%
None
ValueCountFrequency (%)
· 7
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅕ 1
25.0%
ㅓ 1
25.0%
ㅏ 1
25.0%
ㅑ 1
25.0%

저작자
Text

Distinct206
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-16T06:45:11.307929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length12.834123
Min length5

Characters and Unicode

Total characters2708
Distinct characters332
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

Unique201 ?
Unique (%)95.3%

Sample

1st row신익수 지음
2nd row임경민 지음
3rd row정석환 외 지음
4th row김덕진 지음
5th row이은희(노마드에셀) 지음
ValueCountFrequency (%)
지음 124
 
16.4%
그림 67
 
8.9%
글 55
 
7.3%
옮김 48
 
6.4%
글·그림 17
 
2.3%
공]지음 8
 
1.1%
초록햇비 7
 
0.9%
외 6
 
0.8%
엮음 4
 
0.5%
홍연시 3
 
0.4%
Other values (387) 416
55.1%
2024-03-16T06:45:12.423389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
666
24.6%
지 155
 
5.7%
음 137
 
5.1%
김 97
 
3.6%
림 87
 
3.2%
그 84
 
3.1%
글 78
 
2.9%
옮 50
 
1.8%
이 44
 
1.6%
리 34
 
1.3%
Other values (322) 1276
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1956
72.2%
Space Separator 666
 
24.6%
Other Punctuation 22
 
0.8%
Close Punctuation 18
 
0.7%
Open Punctuation 18
 
0.7%
Lowercase Letter 14
 
0.5%
Decimal Number 8
 
0.3%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 155
 
7.9%
음 137
 
7.0%
김 97
 
5.0%
림 87
 
4.4%
그 84
 
4.3%
글 78
 
4.0%
옮 50
 
2.6%
이 44
 
2.2%
리 34
 
1.7%
정 26
 
1.3%
Other values (297) 1164
59.5%
Lowercase Letter
ValueCountFrequency (%)
a 3
21.4%
k 3
21.4%
i 2
14.3%
c 1
 
7.1%
h 1
 
7.1%
o 1
 
7.1%
v 1
 
7.1%
s 1
 
7.1%
y 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
N 1
16.7%
M 1
16.7%
J 1
16.7%
V 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
0 2
25.0%
5 1
 
12.5%
9 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
· 19
86.4%
. 3
 
13.6%
Close Punctuation
ValueCountFrequency (%)
] 15
83.3%
) 3
 
16.7%
Open Punctuation
ValueCountFrequency (%)
[ 15
83.3%
( 3
 
16.7%
Space Separator
ValueCountFrequency (%)
666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1956
72.2%
Common 732
 
27.0%
Latin 20
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 155
 
7.9%
음 137
 
7.0%
김 97
 
5.0%
림 87
 
4.4%
그 84
 
4.3%
글 78
 
4.0%
옮 50
 
2.6%
이 44
 
2.2%
리 34
 
1.7%
정 26
 
1.3%
Other values (297) 1164
59.5%
Latin
ValueCountFrequency (%)
a 3
15.0%
k 3
15.0%
T 2
10.0%
i 2
10.0%
N 1
 
5.0%
c 1
 
5.0%
h 1
 
5.0%
o 1
 
5.0%
v 1
 
5.0%
s 1
 
5.0%
Other values (4) 4
20.0%
Common
ValueCountFrequency (%)
666
91.0%
· 19
 
2.6%
] 15
 
2.0%
[ 15
 
2.0%
1 4
 
0.5%
) 3
 
0.4%
( 3
 
0.4%
. 3
 
0.4%
0 2
 
0.3%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1956
72.2%
ASCII 733
 
27.1%
None 19
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
666
90.9%
] 15
 
2.0%
[ 15
 
2.0%
1 4
 
0.5%
) 3
 
0.4%
( 3
 
0.4%
a 3
 
0.4%
k 3
 
0.4%
. 3
 
0.4%
T 2
 
0.3%
Other values (14) 16
 
2.2%
Hangul
ValueCountFrequency (%)
지 155
 
7.9%
음 137
 
7.0%
김 97
 
5.0%
림 87
 
4.4%
그 84
 
4.3%
글 78
 
4.0%
옮 50
 
2.6%
이 44
 
2.2%
리 34
 
1.7%
정 26
 
1.3%
Other values (297) 1164
59.5%
None
ValueCountFrequency (%)
· 19
100.0%

발행자
Text

Distinct127
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-16T06:45:13.047580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length4.5687204
Min length1

Characters and Unicode

Total characters964
Distinct characters253
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

Unique89 ?
Unique (%)42.2%

Sample

1st row매일경제신문사
2nd row다온북스
3rd row북스톤
4th row스마트북스
5th row아티오
ValueCountFrequency (%)
리틀씨앤톡 14
 
6.4%
책고래 7
 
3.2%
노랑꼬리별 7
 
3.2%
한솔수북 6
 
2.8%
국민서관 5
 
2.3%
고래책빵 5
 
2.3%
한울림어린이 5
 
2.3%
연초록 5
 
2.3%
웅진주니어 5
 
2.3%
지학사아르볼 3
 
1.4%
Other values (121) 156
71.6%
2024-03-16T06:45:14.172023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 38
 
3.9%
리 31
 
3.2%
북 25
 
2.6%
어 21
 
2.2%
책 20
 
2.1%
o 18
 
1.9%
씨 18
 
1.9%
앤 17
 
1.8%
래 16
 
1.7%
틀 14
 
1.5%
Other values (243) 746
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 837
86.8%
Lowercase Letter 83
 
8.6%
Uppercase Letter 31
 
3.2%
Space Separator 7
 
0.7%
Other Punctuation 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 38
 
4.5%
리 31
 
3.7%
북 25
 
3.0%
어 21
 
2.5%
책 20
 
2.4%
씨 18
 
2.2%
앤 17
 
2.0%
래 16
 
1.9%
틀 14
 
1.7%
지 14
 
1.7%
Other values (209) 623
74.4%
Lowercase Letter
ValueCountFrequency (%)
o 18
21.7%
s 9
10.8%
i 8
9.6%
k 8
9.6%
a 7
 
8.4%
y 7
 
8.4%
l 5
 
6.0%
h 5
 
6.0%
t 3
 
3.6%
m 3
 
3.6%
Other values (6) 10
12.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
22.6%
T 5
16.1%
G 3
9.7%
W 3
9.7%
M 3
9.7%
F 2
 
6.5%
P 2
 
6.5%
Y 1
 
3.2%
S 1
 
3.2%
E 1
 
3.2%
Other values (3) 3
9.7%
Other Punctuation
ValueCountFrequency (%)
' 3
75.0%
. 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 837
86.8%
Latin 114
 
11.8%
Common 13
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 38
 
4.5%
리 31
 
3.7%
북 25
 
3.0%
어 21
 
2.5%
책 20
 
2.4%
씨 18
 
2.2%
앤 17
 
2.0%
래 16
 
1.9%
틀 14
 
1.7%
지 14
 
1.7%
Other values (209) 623
74.4%
Latin
ValueCountFrequency (%)
o 18
15.8%
s 9
 
7.9%
i 8
 
7.0%
k 8
 
7.0%
a 7
 
6.1%
y 7
 
6.1%
B 7
 
6.1%
T 5
 
4.4%
l 5
 
4.4%
h 5
 
4.4%
Other values (19) 35
30.7%
Common
ValueCountFrequency (%)
7
53.8%
' 3
23.1%
. 1
 
7.7%
1 1
 
7.7%
2 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 837
86.8%
ASCII 127
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 38
 
4.5%
리 31
 
3.7%
북 25
 
3.0%
어 21
 
2.5%
책 20
 
2.4%
씨 18
 
2.2%
앤 17
 
2.0%
래 16
 
1.9%
틀 14
 
1.7%
지 14
 
1.7%
Other values (209) 623
74.4%
ASCII
ValueCountFrequency (%)
o 18
 
14.2%
s 9
 
7.1%
i 8
 
6.3%
k 8
 
6.3%
a 7
 
5.5%
y 7
 
5.5%
7
 
5.5%
B 7
 
5.5%
T 5
 
3.9%
l 5
 
3.9%
Other values (24) 46
36.2%

발행년
Real number (ℝ)

Distinct9
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.4171
Minimum2011
Maximum2032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-16T06:45:14.620769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2021
Q12022
median2023
Q32023
95-th percentile2023
Maximum2032
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3332713
Coefficient of variation (CV)0.00065924645
Kurtosis38.589854
Mean2022.4171
Median Absolute Deviation (MAD)0
Skewness-1.8709731
Sum426730
Variance1.7776123
MonotonicityNot monotonic
2024-03-16T06:45:15.021472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2023 111
52.6%
2022 83
39.3%
2021 6
 
2.8%
2020 3
 
1.4%
2019 3
 
1.4%
2024 2
 
0.9%
2032 1
 
0.5%
2011 1
 
0.5%
2017 1
 
0.5%
ValueCountFrequency (%)
2011 1
 
0.5%
2017 1
 
0.5%
2019 3
 
1.4%
2020 3
 
1.4%
2021 6
 
2.8%
2022 83
39.3%
2023 111
52.6%
2024 2
 
0.9%
2032 1
 
0.5%
ValueCountFrequency (%)
2032 1
 
0.5%
2024 2
 
0.9%
2023 111
52.6%
2022 83
39.3%
2021 6
 
2.8%
2020 3
 
1.4%
2019 3
 
1.4%
2017 1
 
0.5%
2011 1
 
0.5%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
[대라]종합자료실
113 
[대라]가족열람실
98 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[대라]종합자료실 113
53.6%
[대라]가족열람실 98
46.4%

Length

2024-03-16T06:45:15.344606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T06:45:15.662708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대라]종합자료실 113
53.6%
대라]가족열람실 98
46.4%

Interactions

2024-03-16T06:45:06.582657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:45:06.123134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:45:06.848796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:45:06.361984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T06:45:15.867668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.0000.995
발행년0.0001.0000.000
자료실명0.9950.0001.000
2024-03-16T06:45:16.087096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.3590.921
발행년-0.3591.0000.000
자료실명0.9210.0001.000

Missing values

2024-03-16T06:45:07.220738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T06:45:07.652723image/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

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34AI 2024 트렌드 & 활용백과김덕진 지음스마트북스2023[대라]종합자료실
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78경제 읽어주는 남자의 15분 경제 특강 금리·물가·환율부터 주식·채권·부동산·디지털 경제까지!김광석 지음더퀘스트2023[대라]종합자료실
89고롱고롱 하우스조신애 글·그림사계절2023[대라]가족열람실
910고양이 안전사고 예방 안내서네코넷코 편집부 엮음 전화영 옮김책공장더불어2023[대라]종합자료실
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209210해녀 리나 해녀 할머니의 하루Nika Tchaikovskay 지음Tchaikovsky Family Books2019[대라]가족열람실
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