Overview

Dataset statistics

Number of variables7
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory61.6 B

Variable types

Numeric3
Text2
Categorical1
DateTime1

Dataset

Description한국교통안전공단 통합홈페이지시스템에서 관리하고 있는 검사서비스지식 관련 정보입니다
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15065885/fileData.do

Alerts

파일일련번호 is highly overall correlated with 게시판일련번호High correlation
게시판일련번호 is highly overall correlated with 파일일련번호High correlation
파일일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:49:12.282057
Analysis finished2023-12-12 09:49:13.710903
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

파일일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388.92
Minimum355
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T18:49:13.784182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum355
5-th percentile358.45
Q1369.25
median391.5
Q3407.75
95-th percentile419.1
Maximum423
Range68
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation20.859922
Coefficient of variation (CV)0.053635507
Kurtosis-1.3412292
Mean388.92
Median Absolute Deviation (MAD)19
Skewness-0.03835977
Sum19446
Variance435.13633
MonotonicityNot monotonic
2023-12-12T18:49:14.002927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
423 1
 
2.0%
368 1
 
2.0%
384 1
 
2.0%
383 1
 
2.0%
380 1
 
2.0%
377 1
 
2.0%
376 1
 
2.0%
375 1
 
2.0%
374 1
 
2.0%
371 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
355 1
2.0%
356 1
2.0%
358 1
2.0%
359 1
2.0%
360 1
2.0%
362 1
2.0%
363 1
2.0%
364 1
2.0%
365 1
2.0%
366 1
2.0%
ValueCountFrequency (%)
423 1
2.0%
422 1
2.0%
420 1
2.0%
418 1
2.0%
417 1
2.0%
416 1
2.0%
414 1
2.0%
413 1
2.0%
412 1
2.0%
411 1
2.0%
Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T18:49:14.225990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length26.46
Min length10

Characters and Unicode

Total characters1323
Distinct characters184
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row자동차 튜닝 세부 업무 매뉴얼(2020년 v2).pdf
2nd row2019년도 안전단속 유형별 현황.xlsx
3rd row자동차 튜닝 세부 업무 매뉴얼(2020년 v1).pdf
4th row[붙임] 공지사항_제작사용V2.pdf
5th row어린이하차확인장치 성능시험 추진경과 V22.pdf
ValueCountFrequency (%)
자동차 8
 
4.7%
튜닝 8
 
4.7%
190810_2장 8
 
4.7%
세부 6
 
3.5%
업무규정 4
 
2.3%
건설기계 4
 
2.3%
별지 3
 
1.7%
신청서.hwp 3
 
1.7%
업무 2
 
1.2%
시설ㆍ장비ㆍ인력기준(제14조 2
 
1.2%
Other values (114) 124
72.1%
2023-12-12T18:49:14.669978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
9.2%
1 56
 
4.2%
0 53
 
4.0%
. 50
 
3.8%
p 45
 
3.4%
2 40
 
3.0%
28
 
2.1%
_ 26
 
2.0%
26
 
2.0%
8 24
 
1.8%
Other values (174) 853
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
51.7%
Decimal Number 212
 
16.0%
Lowercase Letter 162
 
12.2%
Space Separator 122
 
9.2%
Other Punctuation 51
 
3.9%
Close Punctuation 28
 
2.1%
Open Punctuation 28
 
2.1%
Connector Punctuation 26
 
2.0%
Dash Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%
Other values (2) 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
4.1%
26
 
3.8%
21
 
3.1%
19
 
2.8%
18
 
2.6%
17
 
2.5%
16
 
2.3%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (135) 498
72.8%
Lowercase Letter
ValueCountFrequency (%)
p 45
27.8%
w 21
13.0%
h 21
13.0%
d 19
11.7%
f 19
11.7%
x 11
 
6.8%
s 7
 
4.3%
l 7
 
4.3%
g 4
 
2.5%
j 3
 
1.9%
Other values (4) 5
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 56
26.4%
0 53
25.0%
2 40
18.9%
8 24
11.3%
9 19
 
9.0%
3 5
 
2.4%
6 4
 
1.9%
4 4
 
1.9%
7 4
 
1.9%
5 3
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 22
78.6%
] 5
 
17.9%
1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 22
78.6%
[ 5
 
17.9%
1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 50
98.0%
, 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
V 2
66.7%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
¸ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 684
51.7%
Common 474
35.8%
Latin 165
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
4.1%
26
 
3.8%
21
 
3.1%
19
 
2.8%
18
 
2.6%
17
 
2.5%
16
 
2.3%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (135) 498
72.8%
Common
ValueCountFrequency (%)
122
25.7%
1 56
11.8%
0 53
11.2%
. 50
10.5%
2 40
 
8.4%
_ 26
 
5.5%
8 24
 
5.1%
) 22
 
4.6%
( 22
 
4.6%
9 19
 
4.0%
Other values (13) 40
 
8.4%
Latin
ValueCountFrequency (%)
p 45
27.3%
w 21
12.7%
h 21
12.7%
d 19
11.5%
f 19
11.5%
x 11
 
6.7%
s 7
 
4.2%
l 7
 
4.2%
g 4
 
2.4%
j 3
 
1.8%
Other values (6) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
51.3%
ASCII 635
48.0%
Compat Jamo 5
 
0.4%
None 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
19.2%
1 56
 
8.8%
0 53
 
8.3%
. 50
 
7.9%
p 45
 
7.1%
2 40
 
6.3%
_ 26
 
4.1%
8 24
 
3.8%
) 22
 
3.5%
( 22
 
3.5%
Other values (26) 175
27.6%
Hangul
ValueCountFrequency (%)
28
 
4.1%
26
 
3.8%
21
 
3.1%
19
 
2.8%
18
 
2.7%
17
 
2.5%
16
 
2.4%
14
 
2.1%
14
 
2.1%
13
 
1.9%
Other values (134) 493
72.6%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
None
ValueCountFrequency (%)
¸ 2
50.0%
1
25.0%
1
25.0%

파일확장자
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
hwp
21 
pdf
19 
xlsx
jpg
png
 
1

Length

Max length4
Median length3
Mean length3.1
Min length3

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st rowpdf
2nd rowxlsx
3rd rowpdf
4th rowpdf
5th rowpdf

Common Values

ValueCountFrequency (%)
hwp 21
42.0%
pdf 19
38.0%
xlsx 5
 
10.0%
jpg 3
 
6.0%
png 1
 
2.0%
xls 1
 
2.0%

Length

2023-12-12T18:49:14.846752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:49:14.984627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
hwp 21
42.0%
pdf 19
38.0%
xlsx 5
 
10.0%
jpg 3
 
6.0%
png 1
 
2.0%
xls 1
 
2.0%

파일크기
Real number (ℝ)

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4719272.5
Minimum11264
Maximum35924374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T18:49:15.164740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11264
5-th percentile14365.55
Q124704
median119611
Q31159023
95-th percentile31392190
Maximum35924374
Range35913110
Interquartile range (IQR)1134319

Descriptive statistics

Standard deviation9854495.4
Coefficient of variation (CV)2.0881387
Kurtosis4.4974344
Mean4719272.5
Median Absolute Deviation (MAD)105108.5
Skewness2.3170404
Sum2.3596362 × 108
Variance9.7111079 × 1013
MonotonicityNot monotonic
2023-12-12T18:49:15.356954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
15872 3
 
6.0%
8739522 2
 
4.0%
11264 2
 
4.0%
35785215 2
 
4.0%
16384 2
 
4.0%
7152140 1
 
2.0%
246428 1
 
2.0%
26022938 1
 
2.0%
260519 1
 
2.0%
39424 1
 
2.0%
Other values (34) 34
68.0%
ValueCountFrequency (%)
11264 2
4.0%
13133 1
 
2.0%
15872 3
6.0%
16384 2
4.0%
17195 1
 
2.0%
20480 1
 
2.0%
22016 1
 
2.0%
24064 1
 
2.0%
24576 1
 
2.0%
25088 1
 
2.0%
ValueCountFrequency (%)
35924374 1
2.0%
35785215 2
4.0%
26022938 1
2.0%
20113786 1
2.0%
19374370 1
2.0%
13455302 1
2.0%
11168879 1
2.0%
8739522 2
4.0%
7152140 1
2.0%
7039962 1
2.0%
Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T18:49:15.695572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.36
Min length6

Characters and Unicode

Total characters1118
Distinct characters175
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row자동차 튜닝 세부 업무 매뉴얼(2020년 v2)
2nd row2019년도 안전단속 유형별 현황
3rd row자동차 튜닝 세부 업무 매뉴얼(2020년 v1)
4th row[붙임] 공지사항_제작사용V2
5th row어린이하차확인장치 성능시험 추진경과 V22
ValueCountFrequency (%)
자동차 8
 
4.7%
190810_2장 8
 
4.7%
튜닝 8
 
4.7%
세부 6
 
3.5%
업무규정 4
 
2.3%
건설기계 4
 
2.3%
신청서 3
 
1.7%
별지 3
 
1.7%
최종 3
 
1.7%
관련 2
 
1.2%
Other values (111) 123
71.5%
2023-12-12T18:49:16.202043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
10.9%
1 56
 
5.0%
0 53
 
4.7%
2 40
 
3.6%
28
 
2.5%
_ 26
 
2.3%
26
 
2.3%
8 24
 
2.1%
( 22
 
2.0%
) 22
 
2.0%
Other values (165) 699
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
61.2%
Decimal Number 212
 
19.0%
Space Separator 122
 
10.9%
Open Punctuation 28
 
2.5%
Close Punctuation 28
 
2.5%
Connector Punctuation 26
 
2.3%
Lowercase Letter 7
 
0.6%
Dash Punctuation 3
 
0.3%
Uppercase Letter 3
 
0.3%
Math Symbol 2
 
0.2%
Other values (2) 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
4.1%
26
 
3.8%
21
 
3.1%
19
 
2.8%
18
 
2.6%
17
 
2.5%
16
 
2.3%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (135) 498
72.8%
Decimal Number
ValueCountFrequency (%)
1 56
26.4%
0 53
25.0%
2 40
18.9%
8 24
11.3%
9 19
 
9.0%
3 5
 
2.4%
4 4
 
1.9%
7 4
 
1.9%
6 4
 
1.9%
5 3
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
v 2
28.6%
u 1
14.3%
i 1
14.3%
p 1
14.3%
s 1
14.3%
l 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 22
78.6%
[ 5
 
17.9%
1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 22
78.6%
] 5
 
17.9%
1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
V 2
66.7%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
¸ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 684
61.2%
Common 424
37.9%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
4.1%
26
 
3.8%
21
 
3.1%
19
 
2.8%
18
 
2.6%
17
 
2.5%
16
 
2.3%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (135) 498
72.8%
Common
ValueCountFrequency (%)
122
28.8%
1 56
13.2%
0 53
12.5%
2 40
 
9.4%
_ 26
 
6.1%
8 24
 
5.7%
( 22
 
5.2%
) 22
 
5.2%
9 19
 
4.5%
] 5
 
1.2%
Other values (12) 35
 
8.3%
Latin
ValueCountFrequency (%)
V 2
20.0%
v 2
20.0%
T 1
10.0%
u 1
10.0%
i 1
10.0%
p 1
10.0%
s 1
10.0%
l 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
60.7%
ASCII 430
38.5%
Compat Jamo 5
 
0.4%
None 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
28.4%
1 56
13.0%
0 53
12.3%
2 40
 
9.3%
_ 26
 
6.0%
8 24
 
5.6%
( 22
 
5.1%
) 22
 
5.1%
9 19
 
4.4%
] 5
 
1.2%
Other values (17) 41
 
9.5%
Hangul
ValueCountFrequency (%)
28
 
4.1%
26
 
3.8%
21
 
3.1%
19
 
2.8%
18
 
2.7%
17
 
2.5%
16
 
2.4%
14
 
2.1%
14
 
2.1%
13
 
1.9%
Other values (134) 493
72.6%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
None
ValueCountFrequency (%)
¸ 2
50.0%
1
25.0%
1
25.0%
Distinct30
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2017-10-17 00:00:00
Maximum2020-03-25 00:00:00
2023-12-12T18:49:16.380538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:16.525406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

게시판일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4204.48
Minimum112
Maximum4885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T18:49:16.663809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile116.45
Q14838
median4868.5
Q34875
95-th percentile4882.55
Maximum4885
Range4773
Interquartile range (IQR)37

Descriptive statistics

Standard deviation1655.8146
Coefficient of variation (CV)0.39382149
Kurtosis2.6851037
Mean4204.48
Median Absolute Deviation (MAD)8
Skewness-2.1395978
Sum210224
Variance2741721.9
MonotonicityNot monotonic
2023-12-12T18:49:16.804152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4875 9
 
18.0%
4868 2
 
4.0%
4867 2
 
4.0%
4828 2
 
4.0%
4884 1
 
2.0%
4861 1
 
2.0%
4847 1
 
2.0%
4866 1
 
2.0%
116 1
 
2.0%
117 1
 
2.0%
Other values (29) 29
58.0%
ValueCountFrequency (%)
112 1
2.0%
113 1
2.0%
116 1
2.0%
117 1
2.0%
161 1
2.0%
169 1
2.0%
207 1
2.0%
4818 1
2.0%
4825 1
2.0%
4828 2
4.0%
ValueCountFrequency (%)
4885 1
2.0%
4884 1
2.0%
4883 1
2.0%
4882 1
2.0%
4881 1
2.0%
4880 1
2.0%
4879 1
2.0%
4878 1
2.0%
4877 1
2.0%
4876 1
2.0%

Interactions

2023-12-12T18:49:13.233669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:12.659431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:12.928731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:13.321153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:12.751746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:13.039562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:13.431128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:12.847182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:49:13.137875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:49:16.904243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
파일일련번호원본파일명파일확장자파일크기파일설명최초등록일시게시판일련번호
파일일련번호1.0001.0000.3670.4961.0000.9930.540
원본파일명1.0001.0001.0001.0001.0001.0001.000
파일확장자0.3671.0001.0000.0001.0000.9300.484
파일크기0.4961.0000.0001.0001.0000.9760.000
파일설명1.0001.0001.0001.0001.0001.0001.000
최초등록일시0.9931.0000.9300.9761.0001.0000.961
게시판일련번호0.5401.0000.4840.0001.0000.9611.000
2023-12-12T18:49:17.033046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
파일일련번호파일크기게시판일련번호파일확장자
파일일련번호1.000-0.1530.6460.139
파일크기-0.1531.0000.0060.000
게시판일련번호0.6460.0061.0000.332
파일확장자0.1390.0000.3321.000

Missing values

2023-12-12T18:49:13.547714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:49:13.664864image/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

파일일련번호원본파일명파일확장자파일크기파일설명최초등록일시게시판일련번호
0423자동차 튜닝 세부 업무 매뉴얼(2020년 v2).pdfpdf7152140자동차 튜닝 세부 업무 매뉴얼(2020년 v2)2020-03-254884
14222019년도 안전단속 유형별 현황.xlsxxlsx131332019년도 안전단속 유형별 현황2020-03-104885
2420자동차 튜닝 세부 업무 매뉴얼(2020년 v1).pdfpdf7039962자동차 튜닝 세부 업무 매뉴얼(2020년 v1)2020-03-044877
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6414자동차 튜닝 세부 업무규정 통합본(2019년도 최종).pdfpdf8739522자동차 튜닝 세부 업무규정 통합본(2019년도 최종)2020-02-124882
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파일일련번호원본파일명파일확장자파일크기파일설명최초등록일시게시판일련번호
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41365교정교육지침서(2018).pdfpdf800289교정교육지침서(2018)2018-05-294861
42364이륜자동차 배출가스 정기검사 매뉴얼(20180528).pdfpdf35785215이륜자동차 배출가스 정기검사 매뉴얼(20180528)2018-05-284864
43363이륜자동차 배출가스 정기검사 매뉴얼(20180528).pdfpdf35785215이륜자동차 배출가스 정기검사 매뉴얼(20180528)2018-05-284818
44362위임장양식(개인정보보호법).hwphwp11264위임장양식(개인정보보호법)2018-05-28169
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47358위임장 양식.hwphwp11264위임장 양식2018-01-11112
48356Tulips.jpgjpg620888Tulips2017-10-174860
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