Overview

Dataset statistics

Number of variables20
Number of observations4010
Missing cells43397
Missing cells (%)54.1%
Duplicate rows16
Duplicate rows (%)0.4%
Total size in memory661.9 KiB
Average record size in memory169.0 B

Variable types

Unsupported7
Text6
DateTime1
Numeric2
Categorical4

Dataset

Description중장기개방계획에 따라 강릉시 장난감도서관 홈페이지의 장난감 신청 게시판 자료에 대한 데이터로 제목, 내용, 글쓴시간, 첨부파일수, 가격, 제조사 등의 정보를 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15071232/fileData.do

Alerts

Dataset has 16 (0.4%) duplicate rowsDuplicates
분류명 has 4010 (100.0%) missing valuesMissing
옵션 has 4010 (100.0%) missing valuesMissing
제목 has 2720 (67.8%) missing valuesMissing
글씨수 has 4010 (100.0%) missing valuesMissing
좋아요수 has 4010 (100.0%) missing valuesMissing
안좋아요수 has 4010 (100.0%) missing valuesMissing
가격 has 2913 (72.6%) missing valuesMissing
제조사 has 2724 (67.9%) missing valuesMissing
구입처 has 4010 (100.0%) missing valuesMissing
구성품 has 2893 (72.1%) missing valuesMissing
제조사연락처 has 4010 (100.0%) missing valuesMissing
등록코드 has 1290 (32.2%) missing valuesMissing
규격 has 2787 (69.5%) missing valuesMissing
분류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
옵션 is an unsupported type, check if it needs cleaning or further analysisUnsupported
글씨수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좋아요수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안좋아요수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구입처 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제조사연락처 is an unsupported type, check if it needs cleaning or further analysisUnsupported
첨부파일수 has 2720 (67.8%) zerosZeros

Reproduction

Analysis started2023-12-12 00:55:29.548856
Analysis finished2023-12-12 00:55:32.491274
Duration2.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

옵션
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

제목
Text

MISSING 

Distinct1254
Distinct (%)97.2%
Missing2720
Missing (%)67.8%
Memory size31.5 KiB
2023-12-12T09:55:32.746786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length9.7410853
Min length2

Characters and Unicode

Total characters12566
Distinct characters692
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1222 ?
Unique (%)94.7%

Sample

1st row줌줌레이싱카
2nd row레인쉐이커
3rd row깜짝볼(핑크)
4th row손감각발달윈켈-클래식
5th row깜짝볼
ValueCountFrequency (%)
뽀로로 78
 
3.3%
세트 23
 
1.0%
블루 18
 
0.8%
핑크 17
 
0.7%
콩순이 17
 
0.7%
멜로디 15
 
0.6%
말하는 12
 
0.5%
브이텍 12
 
0.5%
레드 10
 
0.4%
9
 
0.4%
Other values (1635) 2158
91.1%
2023-12-12T09:55:33.302531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1079
 
8.6%
이 555
 
4.4%
로 397
 
3.2%
스 293
 
2.3%
트 255
 
2.0%
기 232
 
1.8%
리 195
 
1.6%
놀 156
 
1.2%
아 155
 
1.2%
뽀 151
 
1.2%
Other values (682) 9098
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10496
83.5%
Space Separator 1079
 
8.6%
Decimal Number 363
 
2.9%
Uppercase Letter 206
 
1.6%
Close Punctuation 96
 
0.8%
Open Punctuation 96
 
0.8%
Lowercase Letter 85
 
0.7%
Dash Punctuation 76
 
0.6%
Other Punctuation 62
 
0.5%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 555
 
5.3%
로 397
 
3.8%
스 293
 
2.8%
트 255
 
2.4%
기 232
 
2.2%
리 195
 
1.9%
놀 156
 
1.5%
아 155
 
1.5%
뽀 151
 
1.4%
드 150
 
1.4%
Other values (617) 7957
75.8%
Uppercase Letter
ValueCountFrequency (%)
T 20
 
9.7%
E 16
 
7.8%
C 15
 
7.3%
A 14
 
6.8%
S 14
 
6.8%
N 13
 
6.3%
R 13
 
6.3%
I 11
 
5.3%
P 10
 
4.9%
W 10
 
4.9%
Other values (15) 70
34.0%
Lowercase Letter
ValueCountFrequency (%)
n 14
16.5%
i 13
15.3%
m 12
14.1%
o 7
8.2%
w 6
7.1%
r 5
 
5.9%
e 5
 
5.9%
c 5
 
5.9%
l 4
 
4.7%
s 3
 
3.5%
Other values (7) 11
12.9%
Decimal Number
ValueCountFrequency (%)
1 89
24.5%
2 55
15.2%
0 54
14.9%
3 47
12.9%
4 32
 
8.8%
8 31
 
8.5%
5 19
 
5.2%
6 14
 
3.9%
9 13
 
3.6%
7 9
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 52
83.9%
& 5
 
8.1%
! 3
 
4.8%
: 2
 
3.2%
Math Symbol
ValueCountFrequency (%)
+ 5
71.4%
~ 1
 
14.3%
= 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 95
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 95
99.0%
[ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10496
83.5%
Common 1779
 
14.2%
Latin 291
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 555
 
5.3%
로 397
 
3.8%
스 293
 
2.8%
트 255
 
2.4%
기 232
 
2.2%
리 195
 
1.9%
놀 156
 
1.5%
아 155
 
1.5%
뽀 151
 
1.4%
드 150
 
1.4%
Other values (617) 7957
75.8%
Latin
ValueCountFrequency (%)
T 20
 
6.9%
E 16
 
5.5%
C 15
 
5.2%
A 14
 
4.8%
S 14
 
4.8%
n 14
 
4.8%
N 13
 
4.5%
i 13
 
4.5%
R 13
 
4.5%
m 12
 
4.1%
Other values (32) 147
50.5%
Common
ValueCountFrequency (%)
1079
60.7%
) 95
 
5.3%
( 95
 
5.3%
1 89
 
5.0%
- 76
 
4.3%
2 55
 
3.1%
0 54
 
3.0%
/ 52
 
2.9%
3 47
 
2.6%
4 32
 
1.8%
Other values (13) 105
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10496
83.5%
ASCII 2070
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1079
52.1%
) 95
 
4.6%
( 95
 
4.6%
1 89
 
4.3%
- 76
 
3.7%
2 55
 
2.7%
0 54
 
2.6%
/ 52
 
2.5%
3 47
 
2.3%
4 32
 
1.5%
Other values (55) 396
 
19.1%
Hangul
ValueCountFrequency (%)
이 555
 
5.3%
로 397
 
3.8%
스 293
 
2.8%
트 255
 
2.4%
기 232
 
2.2%
리 195
 
1.9%
놀 156
 
1.5%
아 155
 
1.5%
뽀 151
 
1.4%
드 150
 
1.4%
Other values (617) 7957
75.8%

내용
Text

Distinct1268
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2023-12-12T09:55:33.683311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length31
Mean length9.6628429
Min length2

Characters and Unicode

Total characters38748
Distinct characters698
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

Unique17 ?
Unique (%)0.4%

Sample

1st row줌줌레이싱카
2nd row줌줌레이싱카
3rd row줌줌레이싱카
4th row레인쉐이커
5th row레인쉐이커
ValueCountFrequency (%)
뽀로로 242
 
3.3%
세트 72
 
1.0%
콩순이 63
 
0.9%
멜로디 48
 
0.7%
블루 43
 
0.6%
핑크 37
 
0.5%
말하는 36
 
0.5%
브이텍 34
 
0.5%
콩콩이 32
 
0.4%
시크릿 30
 
0.4%
Other values (1662) 6688
91.3%
2023-12-12T09:55:34.167495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3315
 
8.6%
이 1703
 
4.4%
로 1268
 
3.3%
스 902
 
2.3%
트 785
 
2.0%
기 717
 
1.9%
리 618
 
1.6%
놀 490
 
1.3%
뽀 480
 
1.2%
드 467
 
1.2%
Other values (688) 28003
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32482
83.8%
Space Separator 3315
 
8.6%
Decimal Number 1100
 
2.8%
Uppercase Letter 634
 
1.6%
Open Punctuation 289
 
0.7%
Close Punctuation 289
 
0.7%
Lowercase Letter 237
 
0.6%
Dash Punctuation 222
 
0.6%
Other Punctuation 154
 
0.4%
Math Symbol 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1703
 
5.2%
로 1268
 
3.9%
스 902
 
2.8%
트 785
 
2.4%
기 717
 
2.2%
리 618
 
1.9%
놀 490
 
1.5%
뽀 480
 
1.5%
드 467
 
1.4%
아 462
 
1.4%
Other values (621) 24590
75.7%
Uppercase Letter
ValueCountFrequency (%)
C 54
 
8.5%
T 52
 
8.2%
E 48
 
7.6%
R 48
 
7.6%
N 37
 
5.8%
A 37
 
5.8%
S 36
 
5.7%
D 33
 
5.2%
I 33
 
5.2%
Q 31
 
4.9%
Other values (15) 225
35.5%
Lowercase Letter
ValueCountFrequency (%)
n 41
17.3%
i 35
14.8%
m 26
11.0%
o 19
8.0%
w 19
8.0%
e 16
 
6.8%
r 14
 
5.9%
c 14
 
5.9%
l 11
 
4.6%
s 9
 
3.8%
Other values (7) 33
13.9%
Decimal Number
ValueCountFrequency (%)
1 276
25.1%
2 170
15.5%
0 156
14.2%
3 138
12.5%
4 100
 
9.1%
8 92
 
8.4%
5 55
 
5.0%
6 46
 
4.2%
9 41
 
3.7%
7 26
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 119
77.3%
& 15
 
9.7%
! 10
 
6.5%
: 8
 
5.2%
, 2
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 17
70.8%
~ 4
 
16.7%
= 3
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 286
99.0%
[ 3
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 286
99.0%
] 3
 
1.0%
Space Separator
ValueCountFrequency (%)
3315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32482
83.8%
Common 5395
 
13.9%
Latin 871
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1703
 
5.2%
로 1268
 
3.9%
스 902
 
2.8%
트 785
 
2.4%
기 717
 
2.2%
리 618
 
1.9%
놀 490
 
1.5%
뽀 480
 
1.5%
드 467
 
1.4%
아 462
 
1.4%
Other values (621) 24590
75.7%
Latin
ValueCountFrequency (%)
C 54
 
6.2%
T 52
 
6.0%
E 48
 
5.5%
R 48
 
5.5%
n 41
 
4.7%
N 37
 
4.2%
A 37
 
4.2%
S 36
 
4.1%
i 35
 
4.0%
D 33
 
3.8%
Other values (32) 450
51.7%
Common
ValueCountFrequency (%)
3315
61.4%
( 286
 
5.3%
) 286
 
5.3%
1 276
 
5.1%
- 222
 
4.1%
2 170
 
3.2%
0 156
 
2.9%
3 138
 
2.6%
/ 119
 
2.2%
4 100
 
1.9%
Other values (15) 327
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32482
83.8%
ASCII 6264
 
16.2%
Misc Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3315
52.9%
( 286
 
4.6%
) 286
 
4.6%
1 276
 
4.4%
- 222
 
3.5%
2 170
 
2.7%
0 156
 
2.5%
3 138
 
2.2%
/ 119
 
1.9%
4 100
 
1.6%
Other values (56) 1196
 
19.1%
Hangul
ValueCountFrequency (%)
이 1703
 
5.2%
로 1268
 
3.9%
스 902
 
2.8%
트 785
 
2.4%
기 717
 
2.2%
리 618
 
1.9%
놀 490
 
1.5%
뽀 480
 
1.5%
드 467
 
1.4%
아 462
 
1.4%
Other values (621) 24590
75.7%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%

글씨수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

좋아요수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

안좋아요수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

글쓴시간
Date

Distinct69
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
Minimum2015-04-03 23:46:00
Maximum2020-09-25 16:27:00
2023-12-12T09:55:34.331403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:55:34.513705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

첨부파일수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44912718
Minimum0
Maximum8
Zeros2720
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-12T09:55:34.660850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.78048695
Coefficient of variation (CV)1.737786
Kurtosis7.4642465
Mean0.44912718
Median Absolute Deviation (MAD)0
Skewness2.2840036
Sum1801
Variance0.60915988
MonotonicityNot monotonic
2023-12-12T09:55:34.775539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2720
67.8%
1 929
 
23.2%
2 255
 
6.4%
3 75
 
1.9%
4 22
 
0.5%
5 7
 
0.2%
8 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 2720
67.8%
1 929
 
23.2%
2 255
 
6.4%
3 75
 
1.9%
4 22
 
0.5%
5 7
 
0.2%
6 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 1
 
< 0.1%
5 7
 
0.2%
4 22
 
0.5%
3 75
 
1.9%
2 255
 
6.4%
1 929
 
23.2%
0 2720
67.8%

가격
Real number (ℝ)

MISSING 

Distinct316
Distinct (%)28.8%
Missing2913
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean73068.478
Minimum2800
Maximum630000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.4 KiB
2023-12-12T09:55:34.912720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2800
5-th percentile20000
Q135000
median52000
Q385000
95-th percentile190000
Maximum630000
Range627200
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation65236.929
Coefficient of variation (CV)0.89281905
Kurtosis15.754419
Mean73068.478
Median Absolute Deviation (MAD)21000
Skewness3.1899921
Sum80156120
Variance4.2558568 × 109
MonotonicityNot monotonic
2023-12-12T09:55:35.057687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 49
 
1.2%
20000 38
 
0.9%
40000 36
 
0.9%
70000 34
 
0.8%
45000 31
 
0.8%
35000 30
 
0.7%
80000 28
 
0.7%
30000 26
 
0.6%
60000 22
 
0.5%
130000 18
 
0.4%
Other values (306) 785
 
19.6%
(Missing) 2913
72.6%
ValueCountFrequency (%)
2800 1
 
< 0.1%
6800 1
 
< 0.1%
8500 1
 
< 0.1%
10000 3
0.1%
10200 1
 
< 0.1%
11000 3
0.1%
11900 2
< 0.1%
12000 1
 
< 0.1%
12800 2
< 0.1%
12900 1
 
< 0.1%
ValueCountFrequency (%)
630000 2
< 0.1%
500000 1
 
< 0.1%
416500 3
0.1%
412000 2
< 0.1%
370000 1
 
< 0.1%
350000 2
< 0.1%
348000 1
 
< 0.1%
340000 1
 
< 0.1%
300000 2
< 0.1%
290000 1
 
< 0.1%

제조사
Text

MISSING 

Distinct277
Distinct (%)21.5%
Missing2724
Missing (%)67.9%
Memory size31.5 KiB
2023-12-12T09:55:35.426070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length4.3709176
Min length2

Characters and Unicode

Total characters5621
Distinct characters281
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

Unique109 ?
Unique (%)8.5%

Sample

1st row브이텍
2nd row톨로
3rd row브이텍
4th row맨하탄토이
5th row브이텍
ValueCountFrequency (%)
브이텍 67
 
5.1%
미미월드 56
 
4.3%
리틀타익스 53
 
4.0%
영실업 52
 
4.0%
아이코닉스 51
 
3.9%
피셔프라이스 36
 
2.8%
토이트론 32
 
2.4%
브라이트스타트 29
 
2.2%
스텝2 23
 
1.8%
러닝리소스 19
 
1.5%
Other values (275) 891
68.1%
2023-12-12T09:55:36.019238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 520
 
9.3%
스 353
 
6.3%
토 220
 
3.9%
드 187
 
3.3%
아 161
 
2.9%
미 161
 
2.9%
코 152
 
2.7%
리 141
 
2.5%
브 128
 
2.3%
즈 123
 
2.2%
Other values (271) 3475
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5296
94.2%
Uppercase Letter 151
 
2.7%
Lowercase Letter 47
 
0.8%
Decimal Number 39
 
0.7%
Space Separator 23
 
0.4%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Other Symbol 14
 
0.2%
Dash Punctuation 10
 
0.2%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 520
 
9.8%
스 353
 
6.7%
토 220
 
4.2%
드 187
 
3.5%
아 161
 
3.0%
미 161
 
3.0%
코 152
 
2.9%
리 141
 
2.7%
브 128
 
2.4%
즈 123
 
2.3%
Other values (223) 3150
59.5%
Uppercase Letter
ValueCountFrequency (%)
T 18
11.9%
I 16
10.6%
B 14
9.3%
A 12
7.9%
L 12
7.9%
E 11
 
7.3%
W 11
 
7.3%
N 10
 
6.6%
F 9
 
6.0%
S 9
 
6.0%
Other values (9) 29
19.2%
Lowercase Letter
ValueCountFrequency (%)
a 7
14.9%
t 5
10.6%
y 4
8.5%
u 4
8.5%
m 4
8.5%
r 4
8.5%
e 3
 
6.4%
i 3
 
6.4%
c 3
 
6.4%
o 2
 
4.3%
Other values (5) 8
17.0%
Decimal Number
ValueCountFrequency (%)
2 23
59.0%
8 3
 
7.7%
5 3
 
7.7%
3 2
 
5.1%
0 2
 
5.1%
1 2
 
5.1%
6 2
 
5.1%
9 2
 
5.1%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5310
94.5%
Latin 198
 
3.5%
Common 113
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 520
 
9.8%
스 353
 
6.6%
토 220
 
4.1%
드 187
 
3.5%
아 161
 
3.0%
미 161
 
3.0%
코 152
 
2.9%
리 141
 
2.7%
브 128
 
2.4%
즈 123
 
2.3%
Other values (224) 3164
59.6%
Latin
ValueCountFrequency (%)
T 18
 
9.1%
I 16
 
8.1%
B 14
 
7.1%
A 12
 
6.1%
L 12
 
6.1%
E 11
 
5.6%
W 11
 
5.6%
N 10
 
5.1%
F 9
 
4.5%
S 9
 
4.5%
Other values (24) 76
38.4%
Common
ValueCountFrequency (%)
23
20.4%
2 23
20.4%
( 17
15.0%
) 17
15.0%
- 10
8.8%
/ 7
 
6.2%
8 3
 
2.7%
5 3
 
2.7%
3 2
 
1.8%
0 2
 
1.8%
Other values (3) 6
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5296
94.2%
ASCII 311
 
5.5%
None 14
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 520
 
9.8%
스 353
 
6.7%
토 220
 
4.2%
드 187
 
3.5%
아 161
 
3.0%
미 161
 
3.0%
코 152
 
2.9%
리 141
 
2.7%
브 128
 
2.4%
즈 123
 
2.3%
Other values (223) 3150
59.5%
ASCII
ValueCountFrequency (%)
23
 
7.4%
2 23
 
7.4%
T 18
 
5.8%
( 17
 
5.5%
) 17
 
5.5%
I 16
 
5.1%
B 14
 
4.5%
A 12
 
3.9%
L 12
 
3.9%
E 11
 
3.5%
Other values (37) 148
47.6%
None
ValueCountFrequency (%)
㈜ 14
100.0%

영역
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
TA
1662 
TC
831 
TD
749 
TE
368 
TB
348 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTA
2nd rowTA
3rd rowTA
4th rowTE
5th rowTE

Common Values

ValueCountFrequency (%)
TA 1662
41.4%
TC 831
20.7%
TD 749
18.7%
TE 368
 
9.2%
TB 348
 
8.7%
TF 52
 
1.3%

Length

2023-12-12T09:55:36.206568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:55:36.349776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ta 1662
41.4%
tc 831
20.7%
td 749
18.7%
te 368
 
9.2%
tb 348
 
8.7%
tf 52
 
1.3%

연령
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
3세이상
1561 
12개월이상
755 
6개월이상
485 
0세이상
348 
24개월이상
324 
Other values (4)
537 

Length

Max length6
Median length4
Mean length4.7571072
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12개월이상
2nd row12개월이상
3rd row12개월이상
4th row6개월이상
5th row6개월이상

Common Values

ValueCountFrequency (%)
3세이상 1561
38.9%
12개월이상 755
18.8%
6개월이상 485
 
12.1%
0세이상 348
 
8.7%
24개월이상 324
 
8.1%
5세이상 154
 
3.8%
18개월이상 152
 
3.8%
4세이상 142
 
3.5%
9개월이상 89
 
2.2%

Length

2023-12-12T09:55:36.518447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:55:36.685971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3세이상 1561
38.9%
12개월이상 755
18.8%
6개월이상 485
 
12.1%
0세이상 348
 
8.7%
24개월이상 324
 
8.1%
5세이상 154
 
3.8%
18개월이상 152
 
3.8%
4세이상 142
 
3.5%
9개월이상 89
 
2.2%

구입처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

구성품
Text

MISSING 

Distinct441
Distinct (%)39.5%
Missing2893
Missing (%)72.1%
Memory size31.5 KiB
2023-12-12T09:55:36.973633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length6.6347359
Min length2

Characters and Unicode

Total characters7411
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)27.7%

Sample

1st row본체1
2nd row본체1
3rd row본체1
4th row본체1
5th row본체1
ValueCountFrequency (%)
본체1 470
28.2%
본체:1개 63
 
3.8%
본체 41
 
2.5%
1 37
 
2.2%
구성3 34
 
2.0%
구성 34
 
2.0%
구성1 31
 
1.9%
구성5 25
 
1.5%
구성2 24
 
1.4%
구성4 22
 
1.3%
Other values (425) 888
53.2%
2023-12-12T09:55:37.502059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1200
16.2%
본 784
10.6%
체 736
 
9.9%
구 730
 
9.9%
성 719
 
9.7%
552
 
7.4%
품 235
 
3.2%
2 224
 
3.0%
3 154
 
2.1%
: 152
 
2.1%
Other values (209) 1925
26.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4209
56.8%
Decimal Number 2171
29.3%
Space Separator 552
 
7.4%
Other Punctuation 348
 
4.7%
Close Punctuation 54
 
0.7%
Open Punctuation 54
 
0.7%
Lowercase Letter 19
 
0.3%
Math Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
본 784
18.6%
체 736
17.5%
구 730
17.3%
성 719
17.1%
품 235
 
5.6%
개 140
 
3.3%
모 29
 
0.7%
기 26
 
0.6%
책 25
 
0.6%
이 24
 
0.6%
Other values (188) 761
18.1%
Decimal Number
ValueCountFrequency (%)
1 1200
55.3%
2 224
 
10.3%
3 154
 
7.1%
4 129
 
5.9%
6 104
 
4.8%
5 103
 
4.7%
0 71
 
3.3%
7 66
 
3.0%
8 64
 
2.9%
9 56
 
2.6%
Other Punctuation
ValueCountFrequency (%)
: 152
43.7%
/ 139
39.9%
, 57
 
16.4%
Lowercase Letter
ValueCountFrequency (%)
p 11
57.9%
s 4
 
21.1%
c 4
 
21.1%
Space Separator
ValueCountFrequency (%)
552
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4209
56.8%
Common 3183
42.9%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
본 784
18.6%
체 736
17.5%
구 730
17.3%
성 719
17.1%
품 235
 
5.6%
개 140
 
3.3%
모 29
 
0.7%
기 26
 
0.6%
책 25
 
0.6%
이 24
 
0.6%
Other values (188) 761
18.1%
Common
ValueCountFrequency (%)
1 1200
37.7%
552
17.3%
2 224
 
7.0%
3 154
 
4.8%
: 152
 
4.8%
/ 139
 
4.4%
4 129
 
4.1%
6 104
 
3.3%
5 103
 
3.2%
0 71
 
2.2%
Other values (8) 355
 
11.2%
Latin
ValueCountFrequency (%)
p 11
57.9%
s 4
 
21.1%
c 4
 
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4209
56.8%
ASCII 3202
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1200
37.5%
552
17.2%
2 224
 
7.0%
3 154
 
4.8%
: 152
 
4.7%
/ 139
 
4.3%
4 129
 
4.0%
6 104
 
3.2%
5 103
 
3.2%
0 71
 
2.2%
Other values (11) 374
 
11.7%
Hangul
ValueCountFrequency (%)
본 784
18.6%
체 736
17.5%
구 730
17.3%
성 719
17.1%
품 235
 
5.6%
개 140
 
3.3%
모 29
 
0.7%
기 26
 
0.6%
책 25
 
0.6%
이 24
 
0.6%
Other values (188) 761
18.1%

제조사연락처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4010
Missing (%)100.0%
Memory size35.4 KiB

등록코드
Text

MISSING 

Distinct2720
Distinct (%)100.0%
Missing1290
Missing (%)32.2%
Memory size31.5 KiB
2023-12-12T09:55:37.960133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters21760
Distinct characters17
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

Unique2720 ?
Unique (%)100.0%

Sample

1st rowTA000001
2nd rowTA000002
3rd rowTE000001
4th rowTE000002
5th rowTA000003
ValueCountFrequency (%)
ta000007 1
 
< 0.1%
tc000406 1
 
< 0.1%
tc000415 1
 
< 0.1%
tc000414 1
 
< 0.1%
ta000749 1
 
< 0.1%
tc000401 1
 
< 0.1%
tc000402 1
 
< 0.1%
tc000403 1
 
< 0.1%
tc000404 1
 
< 0.1%
tc000405 1
 
< 0.1%
Other values (2710) 2710
99.6%
2023-12-12T09:55:38.626748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9184
42.2%
T 2720
 
12.5%
1 1294
 
5.9%
A 1144
 
5.3%
2 959
 
4.4%
3 857
 
3.9%
4 841
 
3.9%
5 714
 
3.3%
7 620
 
2.8%
9 618
 
2.8%
Other values (7) 2809
 
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16320
75.0%
Uppercase Letter 5440
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9184
56.3%
1 1294
 
7.9%
2 959
 
5.9%
3 857
 
5.3%
4 841
 
5.2%
5 714
 
4.4%
7 620
 
3.8%
9 618
 
3.8%
6 617
 
3.8%
8 616
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
T 2720
50.0%
A 1144
21.0%
C 548
 
10.1%
D 513
 
9.4%
E 251
 
4.6%
B 234
 
4.3%
F 30
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 16320
75.0%
Latin 5440
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9184
56.3%
1 1294
 
7.9%
2 959
 
5.9%
3 857
 
5.3%
4 841
 
5.2%
5 714
 
4.4%
7 620
 
3.8%
9 618
 
3.8%
6 617
 
3.8%
8 616
 
3.8%
Latin
ValueCountFrequency (%)
T 2720
50.0%
A 1144
21.0%
C 548
 
10.1%
D 513
 
9.4%
E 251
 
4.6%
B 234
 
4.3%
F 30
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9184
42.2%
T 2720
 
12.5%
1 1294
 
5.9%
A 1144
 
5.3%
2 959
 
4.4%
3 857
 
3.9%
4 841
 
3.9%
5 714
 
3.3%
7 620
 
2.8%
9 618
 
2.8%
Other values (7) 2809
 
12.9%

등록차수
Categorical

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
2015년 1차
1325 
2015년 2차
477 
2015년 3차
354 
2017년 1차
343 
2016년 1차
249 
Other values (9)
1262 

Length

Max length8
Median length8
Mean length7.9990025
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2015년 1차
2nd row2015년 1차
3rd row2015년 1차
4th row2015년 1차
5th row2015년 1차

Common Values

ValueCountFrequency (%)
2015년 1차 1325
33.0%
2015년 2차 477
 
11.9%
2015년 3차 354
 
8.8%
2017년 1차 343
 
8.6%
2016년 1차 249
 
6.2%
2020년 1차 244
 
6.1%
2017년 2차 216
 
5.4%
2018년 1차 212
 
5.3%
2019년 1차 206
 
5.1%
2019년 3차 198
 
4.9%
Other values (4) 186
 
4.6%

Length

2023-12-12T09:55:38.858067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1차 2579
32.2%
2015년 2156
26.9%
2차 873
 
10.9%
2019년 584
 
7.3%
2017년 562
 
7.0%
3차 552
 
6.9%
2016년 251
 
3.1%
2020년 244
 
3.0%
2018년 212
 
2.6%
직접 5
 
0.1%

상태
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.5 KiB
대출가능
1201 
<NA>
1058 
대출중
549 
폐기처리
488 
파손처리
288 
Other values (3)
426 

Length

Max length4
Median length4
Mean length3.8017456
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row대출가능
3rd row폐기처리
4th row<NA>
5th row대출가능

Common Values

ValueCountFrequency (%)
대출가능 1201
30.0%
<NA> 1058
26.4%
대출중 549
13.7%
폐기처리 488
12.2%
파손처리 288
 
7.2%
세척중 222
 
5.5%
대출불가 180
 
4.5%
수리중 24
 
0.6%

Length

2023-12-12T09:55:39.015473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:55:39.155614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대출가능 1201
30.0%
na 1058
26.4%
대출중 549
13.7%
폐기처리 488
12.2%
파손처리 288
 
7.2%
세척중 222
 
5.5%
대출불가 180
 
4.5%
수리중 24
 
0.6%

규격
Text

MISSING 

Distinct988
Distinct (%)80.8%
Missing2787
Missing (%)69.5%
Memory size31.5 KiB
2023-12-12T09:55:39.453032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length107
Mean length8.6688471
Min length2

Characters and Unicode

Total characters10602
Distinct characters105
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique856 ?
Unique (%)70.0%

Sample

1st row25*22*15
2nd row12*8*17
3rd row20*19*18
4th row15*15*15
5th row20*18*19
ValueCountFrequency (%)
조회안됨 62
 
4.9%
30*22*2 10
 
0.8%
75x68x50(cm 4
 
0.3%
42*21*16cm 4
 
0.3%
19*90*10 4
 
0.3%
39*27*19 4
 
0.3%
35*15*15cm 4
 
0.3%
83x14x48 4
 
0.3%
32*6*23 4
 
0.3%
24*7*18 4
 
0.3%
Other values (1005) 1150
91.7%
2023-12-12T09:55:39.891160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2042
19.3%
1 1255
11.8%
2 1147
10.8%
3 806
 
7.6%
5 768
 
7.2%
4 635
 
6.0%
0 626
 
5.9%
m 523
 
4.9%
6 479
 
4.5%
8 443
 
4.2%
Other values (95) 1878
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6858
64.7%
Other Punctuation 2044
 
19.3%
Lowercase Letter 1115
 
10.5%
Other Letter 392
 
3.7%
Open Punctuation 62
 
0.6%
Close Punctuation 61
 
0.6%
Space Separator 31
 
0.3%
Dash Punctuation 24
 
0.2%
Uppercase Letter 12
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 63
16.1%
회 62
15.8%
조 62
15.8%
됨 62
15.8%
이 13
 
3.3%
스 9
 
2.3%
박 8
 
2.0%
높 6
 
1.5%
고 4
 
1.0%
길 4
 
1.0%
Other values (74) 99
25.3%
Decimal Number
ValueCountFrequency (%)
1 1255
18.3%
2 1147
16.7%
3 806
11.8%
5 768
11.2%
4 635
9.3%
0 626
9.1%
6 479
 
7.0%
8 443
 
6.5%
7 379
 
5.5%
9 320
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
m 523
46.9%
c 437
39.2%
x 155
 
13.9%
Other Punctuation
ValueCountFrequency (%)
* 2042
99.9%
. 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9083
85.7%
Latin 1127
 
10.6%
Hangul 392
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 63
16.1%
회 62
15.8%
조 62
15.8%
됨 62
15.8%
이 13
 
3.3%
스 9
 
2.3%
박 8
 
2.0%
높 6
 
1.5%
고 4
 
1.0%
길 4
 
1.0%
Other values (74) 99
25.3%
Common
ValueCountFrequency (%)
* 2042
22.5%
1 1255
13.8%
2 1147
12.6%
3 806
 
8.9%
5 768
 
8.5%
4 635
 
7.0%
0 626
 
6.9%
6 479
 
5.3%
8 443
 
4.9%
7 379
 
4.2%
Other values (7) 503
 
5.5%
Latin
ValueCountFrequency (%)
m 523
46.4%
c 437
38.8%
x 155
 
13.8%
C 12
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10210
96.3%
Hangul 392
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2042
20.0%
1 1255
12.3%
2 1147
11.2%
3 806
 
7.9%
5 768
 
7.5%
4 635
 
6.2%
0 626
 
6.1%
m 523
 
5.1%
6 479
 
4.7%
8 443
 
4.3%
Other values (11) 1486
14.6%
Hangul
ValueCountFrequency (%)
안 63
16.1%
회 62
15.8%
조 62
15.8%
됨 62
15.8%
이 13
 
3.3%
스 9
 
2.3%
박 8
 
2.0%
높 6
 
1.5%
고 4
 
1.0%
길 4
 
1.0%
Other values (74) 99
25.3%

Interactions

2023-12-12T09:55:31.248703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:55:31.022673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:55:31.363267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:55:31.142078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:55:40.014748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
글쓴시간첨부파일수가격영역연령등록차수상태
글쓴시간1.0000.2020.2800.4160.6561.0000.745
첨부파일수0.2021.0000.2740.0880.0290.1960.464
가격0.2800.2741.0000.4500.2330.2580.116
영역0.4160.0880.4501.0000.4110.3190.189
연령0.6560.0290.2330.4111.0000.5240.352
등록차수1.0000.1960.2580.3190.5241.0000.680
상태0.7450.4640.1160.1890.3520.6801.000
2023-12-12T09:55:40.125566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령등록차수상태영역
연령1.0000.2560.1940.218
등록차수0.2561.0000.3990.164
상태0.1940.3991.0000.113
영역0.2180.1640.1131.000
2023-12-12T09:55:40.216287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
첨부파일수가격영역연령등록차수상태
첨부파일수1.0000.1940.0490.0140.0900.177
가격0.1941.0000.2420.0760.1200.076
영역0.0490.2421.0000.2180.1640.113
연령0.0140.0760.2181.0000.2560.194
등록차수0.0900.1200.1640.2561.0000.399
상태0.1770.0760.1130.1940.3991.000

Missing values

2023-12-12T09:55:31.852757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:55:32.165076image/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.
2023-12-12T09:55:32.386447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

분류명옵션제목내용글씨수좋아요수안좋아요수글쓴시간첨부파일수가격제조사영역연령구입처구성품제조사연락처등록코드등록차수상태규격
0<NA><NA>줌줌레이싱카줌줌레이싱카<NA><NA><NA>2015-04-03 23:46250000브이텍TA12개월이상<NA>본체1<NA>TA0000012015년 1차<NA>25*22*15
1<NA><NA><NA>줌줌레이싱카<NA><NA><NA>2015-04-03 23:460<NA><NA>TA12개월이상<NA><NA><NA>TA0000022015년 1차대출가능<NA>
2<NA><NA><NA>줌줌레이싱카<NA><NA><NA>2015-04-03 23:460<NA><NA>TA12개월이상<NA><NA><NA><NA>2015년 1차폐기처리<NA>
3<NA><NA>레인쉐이커레인쉐이커<NA><NA><NA>2015-04-03 23:46215000톨로TE6개월이상<NA>본체1<NA>TE0000012015년 1차<NA>12*8*17
4<NA><NA><NA>레인쉐이커<NA><NA><NA>2015-04-03 23:460<NA><NA>TE6개월이상<NA><NA><NA>TE0000022015년 1차대출가능<NA>
5<NA><NA><NA>레인쉐이커<NA><NA><NA>2015-04-03 23:460<NA><NA>TE6개월이상<NA><NA><NA><NA>2015년 1차대출가능<NA>
6<NA><NA>깜짝볼(핑크)깜짝볼(핑크)<NA><NA><NA>2015-04-03 23:46145000브이텍TA6개월이상<NA>본체1<NA>TA0000032015년 1차파손처리20*19*18
7<NA><NA><NA>깜짝볼(핑크)<NA><NA><NA>2015-04-03 23:460<NA><NA>TA6개월이상<NA><NA><NA>TA0000042015년 1차폐기처리<NA>
8<NA><NA><NA>깜짝볼(핑크)<NA><NA><NA>2015-04-03 23:460<NA><NA>TA6개월이상<NA><NA><NA><NA>2015년 1차파손처리<NA>
9<NA><NA>손감각발달윈켈-클래식손감각발달윈켈-클래식<NA><NA><NA>2015-04-03 23:46230000맨하탄토이TA0세이상<NA>본체1<NA>TA0000052015년 1차대출불가15*15*15
분류명옵션제목내용글씨수좋아요수안좋아요수글쓴시간첨부파일수가격제조사영역연령구입처구성품제조사연락처등록코드등록차수상태규격
4000<NA><NA>에듀테이블에듀테이블<NA><NA><NA>2020-09-25 16:271<NA>코니토이스TC6개월이상<NA>본체1<NA>TC0005532020년 1차<NA>47*36*52cm
4001<NA><NA><NA>에듀테이블<NA><NA><NA>2020-09-25 16:270<NA><NA>TC6개월이상<NA><NA><NA>TC0005542020년 1차세척중<NA>
4002<NA><NA><NA>에듀테이블<NA><NA><NA>2020-09-25 16:270<NA><NA>TC6개월이상<NA><NA><NA><NA>2020년 1차세척중<NA>
4003<NA><NA>에듀볼에듀볼<NA><NA><NA>2020-09-25 16:271<NA>코니토이스TA12개월이상<NA>본체1전화기1<NA>TA0011562020년 1차<NA>19*19*19cm
4004<NA><NA><NA>에듀볼<NA><NA><NA>2020-09-25 16:270<NA><NA>TA12개월이상<NA><NA><NA>TA0011572020년 1차세척중<NA>
4005<NA><NA><NA>에듀볼<NA><NA><NA>2020-09-25 16:270<NA><NA>TA12개월이상<NA><NA><NA><NA>2020년 1차세척중<NA>
4006<NA><NA>에듀플러스에듀플러스<NA><NA><NA>2020-09-25 16:271<NA>코니토이스TA18개월이상<NA>본체1전화기1<NA>TA0011582020년 1차<NA>23*25*24cm
4007<NA><NA><NA>에듀플러스<NA><NA><NA>2020-09-25 16:270<NA><NA>TA18개월이상<NA><NA><NA>TA0011592020년 1차세척중<NA>
4008<NA><NA><NA>에듀플러스<NA><NA><NA>2020-09-25 16:270<NA><NA>TA18개월이상<NA><NA><NA>TA0011602020년 1차세척중<NA>
4009<NA><NA><NA>에듀플러스<NA><NA><NA>2020-09-25 16:270<NA><NA>TA18개월이상<NA><NA><NA><NA>2020년 1차세척중<NA>

Duplicate rows

Most frequently occurring

제목내용글쓴시간첨부파일수가격제조사영역연령구성품등록코드등록차수상태규격# duplicates
0<NA>공놀이기차2018-11-08 1:530<NA><NA>TA6개월이상<NA><NA>2018년 1차대출가능<NA>2
1<NA>딸랑이세트2016-09-20 23:020<NA><NA>TA0세이상<NA><NA>2016년 1차대출가능<NA>2
2<NA>미니오케스트라2015-04-03 23:460<NA><NA>TE6개월이상<NA><NA>2015년 1차대출가능<NA>2
3<NA>베이비밴드2015-04-03 23:460<NA><NA>TE6개월이상<NA><NA>2015년 1차대출가능<NA>2
4<NA>브이텍 뛰뛰빵빵 골드마인 기차놀이2019-07-24 21:220<NA><NA>TA12개월이상<NA><NA>2019년 2차수리중<NA>2
5<NA>뽀로로 줄줄이 걸음마2018-11-08 1:530<NA><NA>TC12개월이상<NA><NA>2018년 1차파손처리<NA>2
6<NA>뽀로로어린이버스2015-04-03 23:460<NA><NA>TA3세이상<NA><NA>2015년 1차폐기처리<NA>2
7<NA>뽀로로와 거북이2018-11-08 1:530<NA><NA>TA3세이상<NA><NA>2018년 1차파손처리<NA>2
8<NA>아이스크림 카트2018-11-08 13:500<NA><NA>TD24개월이상<NA><NA>2018년 1차대출중<NA>2
9<NA>어라운드 위고2018-11-08 1:530<NA><NA>TC6개월이상<NA><NA>2018년 1차대출중<NA>2