Overview

Dataset statistics

Number of variables8
Number of observations3125
Missing cells102
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory198.5 KiB
Average record size in memory65.0 B

Variable types

Text3
Numeric1
Categorical4

Dataset

Description구로구 꿈나무 장난감 나라에서 제공하는 장난감 정보를 제공합니다. 제공하는 정보는 관리번호(등록번호, 서지번호, 서지유형), 장난감명(서명), 저자(제조사), 분관, 서고 등 정보입니다.
URLhttps://www.data.go.kr/data/15038516/fileData.do

Alerts

서지유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
분관 is highly overall correlated with 서고High correlation
서고 is highly overall correlated with 분관High correlation
저자 has 102 (3.3%) missing valuesMissing
등록번호 has unique valuesUnique
서지번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:53:40.472531
Analysis finished2023-12-12 10:53:42.542849
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct3125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
2023-12-12T19:53:42.975019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters21875
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3125 ?
Unique (%)100.0%

Sample

1st row0000175
2nd row0000176
3rd row0000326
4th row0000403
5th row0000447
ValueCountFrequency (%)
0000175 1
 
< 0.1%
k004798 1
 
< 0.1%
k004869 1
 
< 0.1%
k004849 1
 
< 0.1%
k004853 1
 
< 0.1%
k004855 1
 
< 0.1%
k004859 1
 
< 0.1%
k004861 1
 
< 0.1%
k004862 1
 
< 0.1%
k004865 1
 
< 0.1%
Other values (3115) 3115
99.7%
2023-12-12T19:53:43.681705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8551
39.1%
K 2009
 
9.2%
7 1649
 
7.5%
6 1562
 
7.1%
5 1508
 
6.9%
4 1399
 
6.4%
3 1229
 
5.6%
2 1078
 
4.9%
1 1047
 
4.8%
9 926
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19866
90.8%
Uppercase Letter 2009
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8551
43.0%
7 1649
 
8.3%
6 1562
 
7.9%
5 1508
 
7.6%
4 1399
 
7.0%
3 1229
 
6.2%
2 1078
 
5.4%
1 1047
 
5.3%
9 926
 
4.7%
8 917
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
K 2009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19866
90.8%
Latin 2009
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8551
43.0%
7 1649
 
8.3%
6 1562
 
7.9%
5 1508
 
7.6%
4 1399
 
7.0%
3 1229
 
6.2%
2 1078
 
5.4%
1 1047
 
5.3%
9 926
 
4.7%
8 917
 
4.6%
Latin
ValueCountFrequency (%)
K 2009
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8551
39.1%
K 2009
 
9.2%
7 1649
 
7.5%
6 1562
 
7.1%
5 1508
 
6.9%
4 1399
 
6.4%
3 1229
 
5.6%
2 1078
 
4.9%
1 1047
 
4.8%
9 926
 
4.2%

서지번호
Real number (ℝ)

UNIQUE 

Distinct3125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean989088.49
Minimum128624
Maximum2004829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.6 KiB
2023-12-12T19:53:44.004257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128624
5-th percentile130224.2
Q1133141
median135158
Q32004025
95-th percentile2004665.8
Maximum2004829
Range1876205
Interquartile range (IQR)1870884

Descriptive statistics

Standard deviation916861.3
Coefficient of variation (CV)0.92697601
Kurtosis-1.938412
Mean989088.49
Median Absolute Deviation (MAD)5636
Skewness0.17197024
Sum3.0909015 × 109
Variance8.4063464 × 1011
MonotonicityNot monotonic
2023-12-12T19:53:44.262401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000175 1
 
< 0.1%
132813 1
 
< 0.1%
132675 1
 
< 0.1%
132679 1
 
< 0.1%
132681 1
 
< 0.1%
132685 1
 
< 0.1%
132687 1
 
< 0.1%
132688 1
 
< 0.1%
132691 1
 
< 0.1%
132692 1
 
< 0.1%
Other values (3115) 3115
99.7%
ValueCountFrequency (%)
128624 1
< 0.1%
128664 1
< 0.1%
128665 1
< 0.1%
128683 1
< 0.1%
128684 1
< 0.1%
128701 1
< 0.1%
128703 1
< 0.1%
128706 1
< 0.1%
128707 1
< 0.1%
128733 1
< 0.1%
ValueCountFrequency (%)
2004829 1
< 0.1%
2004828 1
< 0.1%
2004827 1
< 0.1%
2004826 1
< 0.1%
2004825 1
< 0.1%
2004824 1
< 0.1%
2004823 1
< 0.1%
2004822 1
< 0.1%
2004821 1
< 0.1%
2004820 1
< 0.1%

서지유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
장난감
3125 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장난감 3125
100.0%

Length

2023-12-12T19:53:44.540384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:53:44.727647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장난감 3125
100.0%

서명
Text

Distinct3116
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
2023-12-12T19:53:45.101331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length37
Mean length12.9328
Min length2

Characters and Unicode

Total characters40415
Distinct characters759
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

Unique3107 ?
Unique (%)99.4%

Sample

1st row빅덤프트럭
2nd row빅로더
3rd row작은기차역
4th row아프리카모험/
5th row알록달록자석핀/
ValueCountFrequency (%)
1 548
 
6.0%
518
 
5.7%
2 480
 
5.3%
3 303
 
3.3%
뽀로로 232
 
2.5%
4 137
 
1.5%
5 90
 
1.0%
타요 86
 
0.9%
핑크퐁 80
 
0.9%
콩순이 69
 
0.8%
Other values (2618) 6579
72.1%
2023-12-12T19:53:45.831530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6077
 
15.0%
) 1580
 
3.9%
( 1580
 
3.9%
1 1213
 
3.0%
이 1161
 
2.9%
로 918
 
2.3%
2 866
 
2.1%
기 691
 
1.7%
스 617
 
1.5%
/ 528
 
1.3%
Other values (749) 25184
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26648
65.9%
Space Separator 6077
 
15.0%
Decimal Number 3328
 
8.2%
Close Punctuation 1583
 
3.9%
Open Punctuation 1583
 
3.9%
Other Punctuation 683
 
1.7%
Uppercase Letter 253
 
0.6%
Lowercase Letter 176
 
0.4%
Dash Punctuation 79
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1161
 
4.4%
로 918
 
3.4%
기 691
 
2.6%
스 617
 
2.3%
트 496
 
1.9%
놀 421
 
1.6%
리 419
 
1.6%
아 405
 
1.5%
뽀 393
 
1.5%
차 352
 
1.3%
Other values (677) 20775
78.0%
Uppercase Letter
ValueCountFrequency (%)
E 38
15.0%
Q 37
14.6%
A 21
 
8.3%
B 19
 
7.5%
C 15
 
5.9%
N 14
 
5.5%
T 13
 
5.1%
I 13
 
5.1%
X 10
 
4.0%
O 10
 
4.0%
Other values (14) 63
24.9%
Lowercase Letter
ValueCountFrequency (%)
s 31
17.6%
c 25
14.2%
p 23
13.1%
i 20
11.4%
n 15
8.5%
r 8
 
4.5%
y 7
 
4.0%
t 7
 
4.0%
m 6
 
3.4%
o 5
 
2.8%
Other values (10) 29
16.5%
Decimal Number
ValueCountFrequency (%)
1 1213
36.4%
2 866
26.0%
3 503
15.1%
4 238
 
7.2%
5 150
 
4.5%
6 93
 
2.8%
9 73
 
2.2%
7 70
 
2.1%
8 66
 
2.0%
0 56
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 528
77.3%
, 112
 
16.4%
. 17
 
2.5%
& 14
 
2.0%
! 5
 
0.7%
' 2
 
0.3%
* 2
 
0.3%
? 2
 
0.3%
# 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1580
99.8%
] 3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1580
99.8%
[ 3
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
6077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26648
65.9%
Common 13337
33.0%
Latin 430
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1161
 
4.4%
로 918
 
3.4%
기 691
 
2.6%
스 617
 
2.3%
트 496
 
1.9%
놀 421
 
1.6%
리 419
 
1.6%
아 405
 
1.5%
뽀 393
 
1.5%
차 352
 
1.3%
Other values (677) 20775
78.0%
Latin
ValueCountFrequency (%)
E 38
 
8.8%
Q 37
 
8.6%
s 31
 
7.2%
c 25
 
5.8%
p 23
 
5.3%
A 21
 
4.9%
i 20
 
4.7%
B 19
 
4.4%
C 15
 
3.5%
n 15
 
3.5%
Other values (35) 186
43.3%
Common
ValueCountFrequency (%)
6077
45.6%
) 1580
 
11.8%
( 1580
 
11.8%
1 1213
 
9.1%
2 866
 
6.5%
/ 528
 
4.0%
3 503
 
3.8%
4 238
 
1.8%
5 150
 
1.1%
, 112
 
0.8%
Other values (17) 490
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26648
65.9%
ASCII 13766
34.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6077
44.1%
) 1580
 
11.5%
( 1580
 
11.5%
1 1213
 
8.8%
2 866
 
6.3%
/ 528
 
3.8%
3 503
 
3.7%
4 238
 
1.7%
5 150
 
1.1%
, 112
 
0.8%
Other values (61) 919
 
6.7%
Hangul
ValueCountFrequency (%)
이 1161
 
4.4%
로 918
 
3.4%
기 691
 
2.6%
스 617
 
2.3%
트 496
 
1.9%
놀 421
 
1.6%
리 419
 
1.6%
아 405
 
1.5%
뽀 393
 
1.5%
차 352
 
1.3%
Other values (677) 20775
78.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

저자
Text

MISSING 

Distinct601
Distinct (%)19.9%
Missing102
Missing (%)3.3%
Memory size24.5 KiB
2023-12-12T19:53:46.375133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length48
Mean length9.3536222
Min length2

Characters and Unicode

Total characters28276
Distinct characters300
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)6.9%

Sample

1st row리틀타익스
2nd row리틀타익스
3rd row레고
4th row하바
5th row하바
ValueCountFrequency (%)
리틀타익스 233
 
4.7%
피셔프라이스 161
 
3.3%
브이텍 152
 
3.1%
국민서관 135
 
2.7%
toys 129
 
2.6%
limited 129
 
2.6%
ltd 91
 
1.8%
주 89
 
1.8%
toy 71
 
1.4%
co.ltd 64
 
1.3%
Other values (701) 3679
74.6%
2023-12-12T19:53:47.291163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
 
6.9%
T 1179
 
4.2%
이 922
 
3.3%
I 868
 
3.1%
O 865
 
3.1%
N 841
 
3.0%
스 827
 
2.9%
A 782
 
2.8%
) 743
 
2.6%
( 707
 
2.5%
Other values (290) 18598
65.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 10470
37.0%
Other Letter 10337
36.6%
Lowercase Letter 3383
 
12.0%
Space Separator 1944
 
6.9%
Close Punctuation 743
 
2.6%
Open Punctuation 707
 
2.5%
Other Punctuation 569
 
2.0%
Decimal Number 69
 
0.2%
Dash Punctuation 25
 
0.1%
Other Symbol 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 922
 
8.9%
스 827
 
8.0%
주 597
 
5.8%
토 360
 
3.5%
리 302
 
2.9%
드 300
 
2.9%
타 259
 
2.5%
익 236
 
2.3%
틀 236
 
2.3%
브 231
 
2.2%
Other values (223) 6067
58.7%
Uppercase Letter
ValueCountFrequency (%)
T 1179
 
11.3%
I 868
 
8.3%
O 865
 
8.3%
N 841
 
8.0%
A 782
 
7.5%
L 681
 
6.5%
E 670
 
6.4%
C 587
 
5.6%
D 501
 
4.8%
S 436
 
4.2%
Other values (16) 3060
29.2%
Lowercase Letter
ValueCountFrequency (%)
i 357
10.6%
n 349
10.3%
t 327
9.7%
o 284
 
8.4%
a 282
 
8.3%
e 238
 
7.0%
d 209
 
6.2%
s 189
 
5.6%
l 178
 
5.3%
r 156
 
4.6%
Other values (15) 814
24.1%
Other Punctuation
ValueCountFrequency (%)
. 339
59.6%
, 169
29.7%
/ 32
 
5.6%
& 27
 
4.7%
" 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 60
87.0%
1 4
 
5.8%
0 3
 
4.3%
9 1
 
1.4%
4 1
 
1.4%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 743
100.0%
Open Punctuation
ValueCountFrequency (%)
( 707
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13860
49.0%
Hangul 10359
36.6%
Common 4057
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 922
 
8.9%
스 827
 
8.0%
주 597
 
5.8%
토 360
 
3.5%
리 302
 
2.9%
드 300
 
2.9%
타 259
 
2.5%
익 236
 
2.3%
틀 236
 
2.3%
브 231
 
2.2%
Other values (224) 6089
58.8%
Latin
ValueCountFrequency (%)
T 1179
 
8.5%
I 868
 
6.3%
O 865
 
6.2%
N 841
 
6.1%
A 782
 
5.6%
L 681
 
4.9%
E 670
 
4.8%
C 587
 
4.2%
D 501
 
3.6%
S 436
 
3.1%
Other values (42) 6450
46.5%
Common
ValueCountFrequency (%)
1944
47.9%
) 743
 
18.3%
( 707
 
17.4%
. 339
 
8.4%
, 169
 
4.2%
2 60
 
1.5%
/ 32
 
0.8%
& 27
 
0.7%
- 25
 
0.6%
1 4
 
0.1%
Other values (4) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17910
63.3%
Hangul 10337
36.6%
None 22
 
0.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
 
10.9%
T 1179
 
6.6%
I 868
 
4.8%
O 865
 
4.8%
N 841
 
4.7%
A 782
 
4.4%
) 743
 
4.1%
( 707
 
3.9%
L 681
 
3.8%
E 670
 
3.7%
Other values (55) 8630
48.2%
Hangul
ValueCountFrequency (%)
이 922
 
8.9%
스 827
 
8.0%
주 597
 
5.8%
토 360
 
3.5%
리 302
 
2.9%
드 300
 
2.9%
타 259
 
2.5%
익 236
 
2.3%
틀 236
 
2.3%
브 231
 
2.2%
Other values (223) 6067
58.7%
None
ValueCountFrequency (%)
㈜ 22
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
100.0%

분관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
오류장난감나라
2009 
구로꿈나무장난감나라
1116 

Length

Max length10
Median length7
Mean length8.07136
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오류장난감나라 2009
64.3%
구로꿈나무장난감나라 1116
35.7%

Length

2023-12-12T19:53:47.586550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:53:47.823455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오류장난감나라 2009
64.3%
구로꿈나무장난감나라 1116
35.7%

서고
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
오류장난감방
1986 
구로장난감방
1094 
오류놀이방
 
23
신체실용
 
22

Length

Max length6
Median length6
Mean length5.97856
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오류장난감방 1986
63.6%
구로장난감방 1094
35.0%
오류놀이방 23
 
0.7%
신체실용 22
 
0.7%

Length

2023-12-12T19:53:48.077585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:53:48.299515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오류장난감방 1986
63.6%
구로장난감방 1094
35.0%
오류놀이방 23
 
0.7%
신체실용 22
 
0.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
2023-06-30
3125 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-06-30 3125
100.0%

Length

2023-12-12T19:53:49.050812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:53:49.232678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 3125
100.0%

Interactions

2023-12-12T19:53:41.780092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:53:49.346153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서지번호분관서고
서지번호1.0000.1480.194
분관0.1481.0001.000
서고0.1941.0001.000
2023-12-12T19:53:49.512954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분관서고
분관1.0001.000
서고1.0001.000
2023-12-12T19:53:49.689972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서지번호분관서고
서지번호1.0000.2440.184
분관0.2441.0001.000
서고0.1841.0001.000

Missing values

2023-12-12T19:53:42.142997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:53:42.410930image/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

등록번호서지번호서지유형서명저자분관서고데이터기준일자
000001751000175장난감빅덤프트럭리틀타익스구로꿈나무장난감나라구로장난감방2023-06-30
100001761000176장난감빅로더리틀타익스구로꿈나무장난감나라구로장난감방2023-06-30
200003261000326장난감작은기차역<NA>구로꿈나무장난감나라구로장난감방2023-06-30
300004031000403장난감아프리카모험/레고구로꿈나무장난감나라구로장난감방2023-06-30
400004471000447장난감알록달록자석핀/하바구로꿈나무장난감나라구로장난감방2023-06-30
500004511000451장난감밤비니꽃실꽤기하바구로꿈나무장난감나라구로장난감방2023-06-30
600007451000745장난감젠가(JENGA)(3)(주)미미월드구로꿈나무장난감나라구로장난감방2023-06-30
700007471000747장난감젠가(JENGA)(5)(주)미미월드구로꿈나무장난감나라구로장난감방2023-06-30
800008121000812장난감통카 불도저 /통카구로꿈나무장난감나라구로장난감방2023-06-30
900008901000890장난감공룡대탐험(2)옥스포드산업구로꿈나무장난감나라구로장난감방2023-06-30
등록번호서지번호서지유형서명저자분관서고데이터기준일자
3115K005549134209장난감에듀플러스 5(주)코니스오류장난감나라오류장난감방2023-06-30
3116K005611134382장난감뽀로로EQ농구놀이 4WINFAT INDUSTRIAL COMPANY LIMITED오류장난감나라오류장난감방2023-06-30
3117K005638134429장난감에듀플러스 10(주)코니스오류장난감나라오류장난감방2023-06-30
3118K005921134999장난감말하는 꼬마버스 타요 5아이코닉스 엔터테이먼트오류장난감나라오류장난감방2023-06-30
3119K005976135157장난감말하는 에듀기차띠띠뽀 1아이코닉스(주)오류장난감나라오류장난감방2023-06-30
3120K006030135231장난감핑크퐁 피아노 2 (흰건반5개소리안남)(주)미미월드오류장난감나라오류장난감방2023-06-30
3121K0062202004184장난감핑크퐁 아기상어 ATM 은행놀이 1MINGXINBAO TOY CO오류장난감나라오류장난감방2023-06-30
3122K0062212004185장난감핑크퐁 아기상어 무선조종 UFO 1MINGXINBAO TOY CO오류장난감나라오류장난감방2023-06-30
3123K0062942004258장난감헬로카봇 피싱게임&두더지를 잡아라 1UNI- REGENT(홍콩)오류장난감나라오류장난감방2023-06-30
3124K0063852004552장난감핑크퐁 아기상어 ATM 은행놀이 2MINGXINBAO TOY CO오류장난감나라오류장난감방2023-06-30