Overview

Dataset statistics

Number of variables10
Number of observations55
Missing cells100
Missing cells (%)18.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory84.4 B

Variable types

Numeric2
Text3
DateTime4
Boolean1

Dataset

Description인천도시경관아카이브 시스템 내 데이터로 표준 디자인 자료 정보에 대해서 나와있습니다. 목록으로는 표준 디자인 파일 일련번호, 표준 디자인 일련번호, 파일 명, 파일 경로, 다운로드 수, 등록 일자, 수정 일자, 삭제 유무로 구성되어있습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15122340&srcSe=7661IVAWM27C61E190

Alerts

표준디자인파일 일련번호(SEQ) is highly overall correlated with 표준디자인 일련번호(SEQ)High correlation
표준디자인 일련번호(SEQ) is highly overall correlated with 표준디자인파일 일련번호(SEQ)High correlation
삭제유무 is highly imbalanced (56.1%)Imbalance
수정일자 has 50 (90.9%) missing valuesMissing
수정시간 has 50 (90.9%) missing valuesMissing
표준디자인파일 일련번호(SEQ) has unique valuesUnique
파일경로 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:05:00.912299
Analysis finished2024-01-28 08:05:01.774928
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

표준디자인파일 일련번호(SEQ)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-01-28T17:05:01.832007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityNot monotonic
2024-01-28T17:05:01.938771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 1
 
1.8%
17 1
 
1.8%
43 1
 
1.8%
41 1
 
1.8%
47 1
 
1.8%
48 1
 
1.8%
45 1
 
1.8%
1 1
 
1.8%
2 1
 
1.8%
6 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

표준디자인 일련번호(SEQ)
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.327273
Minimum4
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-01-28T17:05:02.043226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q119.5
median34
Q348.5
95-th percentile58.3
Maximum60
Range56
Interquartile range (IQR)29

Descriptive statistics

Standard deviation16.861148
Coefficient of variation (CV)0.50592643
Kurtosis-1.2774108
Mean33.327273
Median Absolute Deviation (MAD)15
Skewness-0.046146759
Sum1833
Variance284.29832
MonotonicityNot monotonic
2024-01-28T17:05:02.138905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
21 4
 
7.3%
20 2
 
3.6%
49 2
 
3.6%
8 2
 
3.6%
60 2
 
3.6%
18 1
 
1.8%
14 1
 
1.8%
39 1
 
1.8%
53 1
 
1.8%
54 1
 
1.8%
Other values (38) 38
69.1%
ValueCountFrequency (%)
4 1
1.8%
7 1
1.8%
8 2
3.6%
9 1
1.8%
10 1
1.8%
11 1
1.8%
12 1
1.8%
13 1
1.8%
14 1
1.8%
15 1
1.8%
ValueCountFrequency (%)
60 2
3.6%
59 1
1.8%
58 1
1.8%
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%

파일명
Text

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-01-28T17:05:02.318157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length22.963636
Min length12

Characters and Unicode

Total characters1263
Distinct characters142
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

Unique51 ?
Unique (%)92.7%

Sample

1st row인천광역시+9차+표준디자인+결과보고서.pdf
2nd row표준디자인 재정비 도면_버스정류장.pdf
3rd row표준디자인 재정비 도면_버스정류장 표지.pdf
4th row표준디자인 재정비 도면_공공시각매체[관광].pdf
5th row표준디자인 재정비 도면_공공시각매체[주차].pdf
ValueCountFrequency (%)
표준디자인 44
24.7%
재정비 23
 
12.9%
개발 5
 
2.8%
인천굿디자인 3
 
1.7%
7차 3
 
1.7%
인천광역시 3
 
1.7%
배포용.pdf 3
 
1.7%
버스정류장(승강장 3
 
1.7%
설계도면.pdf 3
 
1.7%
결과보고서.pdf 3
 
1.7%
Other values (80) 85
47.8%
2024-01-28T17:05:02.597169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
9.7%
인 67
 
5.3%
. 58
 
4.6%
p 55
 
4.4%
f 52
 
4.1%
d 52
 
4.1%
표 52
 
4.1%
자 50
 
4.0%
디 49
 
3.9%
준 45
 
3.6%
Other values (132) 660
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 799
63.3%
Lowercase Letter 173
 
13.7%
Space Separator 123
 
9.7%
Other Punctuation 59
 
4.7%
Decimal Number 45
 
3.6%
Connector Punctuation 27
 
2.1%
Open Punctuation 16
 
1.3%
Close Punctuation 16
 
1.3%
Math Symbol 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 67
 
8.4%
표 52
 
6.5%
자 50
 
6.3%
디 49
 
6.1%
준 45
 
5.6%
정 31
 
3.9%
도 31
 
3.9%
면 26
 
3.3%
공 24
 
3.0%
재 24
 
3.0%
Other values (100) 400
50.1%
Lowercase Letter
ValueCountFrequency (%)
p 55
31.8%
f 52
30.1%
d 52
30.1%
i 4
 
2.3%
z 3
 
1.7%
l 2
 
1.2%
u 1
 
0.6%
t 1
 
0.6%
n 1
 
0.6%
e 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 9
20.0%
1 8
17.8%
0 8
17.8%
3 6
13.3%
7 4
8.9%
5 3
 
6.7%
9 3
 
6.7%
4 2
 
4.4%
6 1
 
2.2%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 58
98.3%
· 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
[ 10
62.5%
( 6
37.5%
Close Punctuation
ValueCountFrequency (%)
] 10
62.5%
) 6
37.5%
Space Separator
ValueCountFrequency (%)
123
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 799
63.3%
Common 290
 
23.0%
Latin 174
 
13.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 67
 
8.4%
표 52
 
6.5%
자 50
 
6.3%
디 49
 
6.1%
준 45
 
5.6%
정 31
 
3.9%
도 31
 
3.9%
면 26
 
3.3%
공 24
 
3.0%
재 24
 
3.0%
Other values (100) 400
50.1%
Common
ValueCountFrequency (%)
123
42.4%
. 58
20.0%
_ 27
 
9.3%
[ 10
 
3.4%
] 10
 
3.4%
2 9
 
3.1%
1 8
 
2.8%
0 8
 
2.8%
) 6
 
2.1%
( 6
 
2.1%
Other values (10) 25
 
8.6%
Latin
ValueCountFrequency (%)
p 55
31.6%
f 52
29.9%
d 52
29.9%
i 4
 
2.3%
z 3
 
1.7%
l 2
 
1.1%
O 1
 
0.6%
u 1
 
0.6%
t 1
 
0.6%
n 1
 
0.6%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 799
63.3%
ASCII 463
36.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
26.6%
. 58
12.5%
p 55
11.9%
f 52
11.2%
d 52
11.2%
_ 27
 
5.8%
[ 10
 
2.2%
] 10
 
2.2%
2 9
 
1.9%
1 8
 
1.7%
Other values (21) 59
12.7%
Hangul
ValueCountFrequency (%)
인 67
 
8.4%
표 52
 
6.5%
자 50
 
6.3%
디 49
 
6.1%
준 45
 
5.6%
정 31
 
3.9%
도 31
 
3.9%
면 26
 
3.3%
공 24
 
3.0%
재 24
 
3.0%
Other values (100) 400
50.1%
None
ValueCountFrequency (%)
· 1
100.0%

파일경로
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-01-28T17:05:02.776202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row/files/1688973590142
2nd row/files/1599715064334
3rd row/files/1599715064881
4th row/files/1599715851452
5th row/files/1599716257453
ValueCountFrequency (%)
files/1688973590142 1
 
1.8%
files/1600065354320 1
 
1.8%
files/1613375201845 1
 
1.8%
files/1604641224508 1
 
1.8%
files/1614856336130 1
 
1.8%
files/1616133392615 1
 
1.8%
files/1614856106993 1
 
1.8%
files/1597398444587 1
 
1.8%
files/1597398483559 1
 
1.8%
files/1597398608197 1
 
1.8%
Other values (45) 45
81.8%
2024-01-28T17:05:03.042519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 119
 
10.8%
9 116
 
10.5%
/ 110
 
10.0%
5 103
 
9.4%
7 63
 
5.7%
6 61
 
5.5%
3 58
 
5.3%
4 57
 
5.2%
f 55
 
5.0%
i 55
 
5.0%
Other values (6) 303
27.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 715
65.0%
Lowercase Letter 275
 
25.0%
Other Punctuation 110
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 119
16.6%
9 116
16.2%
5 103
14.4%
7 63
8.8%
6 61
8.5%
3 58
8.1%
4 57
8.0%
8 50
7.0%
2 46
 
6.4%
0 42
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
f 55
20.0%
i 55
20.0%
l 55
20.0%
e 55
20.0%
s 55
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 825
75.0%
Latin 275
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 119
14.4%
9 116
14.1%
/ 110
13.3%
5 103
12.5%
7 63
7.6%
6 61
7.4%
3 58
7.0%
4 57
6.9%
8 50
6.1%
2 46
 
5.6%
Latin
ValueCountFrequency (%)
f 55
20.0%
i 55
20.0%
l 55
20.0%
e 55
20.0%
s 55
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 119
 
10.8%
9 116
 
10.5%
/ 110
 
10.0%
5 103
 
9.4%
7 63
 
5.7%
6 61
 
5.5%
3 58
 
5.3%
4 57
 
5.2%
f 55
 
5.0%
i 55
 
5.0%
Other values (6) 303
27.5%

다운로드수
Text

Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-01-28T17:05:03.216181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.4363636
Min length1

Characters and Unicode

Total characters134
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)85.5%

Sample

1st row35
2nd row127
3rd row32
4th row128
5th row130
ValueCountFrequency (%)
0 4
 
7.3%
63 2
 
3.6%
46 2
 
3.6%
48 1
 
1.8%
310 1
 
1.8%
116 1
 
1.8%
228 1
 
1.8%
35 1
 
1.8%
273 1
 
1.8%
1,252 1
 
1.8%
Other values (40) 40
72.7%
2024-01-28T17:05:03.464791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 26
19.4%
1 20
14.9%
3 16
11.9%
4 12
9.0%
6 11
8.2%
9 11
8.2%
0 10
 
7.5%
5 10
 
7.5%
8 9
 
6.7%
7 8
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 133
99.3%
Other Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 26
19.5%
1 20
15.0%
3 16
12.0%
4 12
9.0%
6 11
8.3%
9 11
8.3%
0 10
 
7.5%
5 10
 
7.5%
8 9
 
6.8%
7 8
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 26
19.4%
1 20
14.9%
3 16
11.9%
4 12
9.0%
6 11
8.2%
9 11
8.2%
0 10
 
7.5%
5 10
 
7.5%
8 9
 
6.7%
7 8
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 26
19.4%
1 20
14.9%
3 16
11.9%
4 12
9.0%
6 11
8.2%
9 11
8.2%
0 10
 
7.5%
5 10
 
7.5%
8 9
 
6.7%
7 8
 
6.0%

등록일자
Date

Distinct15
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2020-08-14 00:00:00
Maximum2023-07-10 00:00:00
2024-01-28T17:05:03.780013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:03.856941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

등록시간
Date

Distinct52
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2024-01-28 09:22:43
Maximum2024-01-28 20:08:11
2024-01-28T17:05:03.950053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:04.092770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자
Date

MISSING 

Distinct4
Distinct (%)80.0%
Missing50
Missing (%)90.9%
Memory size572.0 B
Minimum2020-08-14 00:00:00
Maximum2023-07-10 00:00:00
2024-01-28T17:05:04.188462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:04.260291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

수정시간
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing50
Missing (%)90.9%
Memory size572.0 B
Minimum2024-01-28 14:39:14
Maximum2024-01-28 18:49:09
2024-01-28T17:05:04.322223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:04.391868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

삭제유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size187.0 B
False
50 
True
 
5
ValueCountFrequency (%)
False 50
90.9%
True 5
 
9.1%
2024-01-28T17:05:04.470464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-01-28T17:05:01.412249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:01.279958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:01.475924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:05:01.344745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:05:04.522017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준디자인파일 일련번호(SEQ)표준디자인 일련번호(SEQ)파일명파일경로다운로드수등록일자등록시간수정일자수정시간삭제유무
표준디자인파일 일련번호(SEQ)1.0000.9801.0001.0000.6380.8660.9810.7711.0000.027
표준디자인 일련번호(SEQ)0.9801.0001.0001.0000.6630.8481.0001.0001.0000.573
파일명1.0001.0001.0001.0000.9951.0000.9740.7711.0001.000
파일경로1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
다운로드수0.6380.6630.9951.0001.0000.9470.9610.9131.0000.000
등록일자0.8660.8481.0001.0000.9471.0001.0000.7711.0000.322
등록시간0.9811.0000.9741.0000.9611.0001.0001.0001.0000.000
수정일자0.7711.0000.7711.0000.9130.7711.0001.0001.000NaN
수정시간1.0001.0001.0001.0001.0001.0001.0001.0001.000NaN
삭제유무0.0270.5731.0001.0000.0000.3220.000NaNNaN1.000
2024-01-28T17:05:04.617036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준디자인파일 일련번호(SEQ)표준디자인 일련번호(SEQ)삭제유무
표준디자인파일 일련번호(SEQ)1.0000.9620.000
표준디자인 일련번호(SEQ)0.9621.0000.405
삭제유무0.0000.4051.000

Missing values

2024-01-28T17:05:01.560455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:05:01.664384image/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.
2024-01-28T17:05:01.739991image/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

표준디자인파일 일련번호(SEQ)표준디자인 일련번호(SEQ)파일명파일경로다운로드수등록일자등록시간수정일자수정시간삭제유무
05560인천광역시+9차+표준디자인+결과보고서.pdf/files/1688973590142352023-07-1016:19:26<NA><NA>N
11721표준디자인 재정비 도면_버스정류장.pdf/files/15997150643341272020-09-1014:18:28<NA><NA>N
21821표준디자인 재정비 도면_버스정류장 표지.pdf/files/1599715064881322020-09-1014:18:282020-11-0614:39:14Y
32129표준디자인 재정비 도면_공공시각매체[관광].pdf/files/15997158514521282020-09-1014:31:21<NA><NA>N
42634표준디자인 재정비 도면_공공시각매체[주차].pdf/files/15997162574531302020-09-1014:37:59<NA><NA>N
52735표준디자인 재정비 도면_현수막게시대.pdf/files/15997194330471582020-09-1015:31:57<NA><NA>N
63240표준디자인 재정비 도면_안전안내표지.pdf/files/15997206725572022020-09-1015:51:39<NA><NA>N
73645인천광역시 상징아이콘.pdf/files/15997233538651842020-09-1016:37:33<NA><NA>N
84652버스정류장(승강장) 표지판 표준디자인 설계도면.pdf/files/16148561604842292021-03-0420:05:24<NA><NA>N
95056[표준디자인 8차 개발] 결과보고서.pdf/files/16518173226832192022-05-0615:12:22<NA><NA>N
표준디자인파일 일련번호(SEQ)표준디자인 일련번호(SEQ)파일명파일경로다운로드수등록일자등록시간수정일자수정시간삭제유무
4548공사장가림막 가이드라인_Outline.zip/files/159739855256692020-08-1418:49:09<NA><NA>N
4659표준디자인 3차.pdf/files/159739858241262020-08-1418:49:372020-09-1016:16:40Y
47711표준디자인 5차.pdf/files/15973986555622242020-08-1418:50:51<NA><NA>N
48913표준디자인 웹 아이콘(도서).pdf/files/159739872462122020-08-1418:51:59<NA><NA>N
491014인천광역시 표준디자인 종합매뉴얼 배포용.pdf/files/15973988511814332020-08-1418:54:08<NA><NA>N
501318표준디자인 재정비 도면_가로판매대.pdf/files/1599714852031482020-09-1014:14:44<NA><NA>N
511520표준디자인 재정비 도면_택시승차대.pdf/files/1599714986459662020-09-1014:17:25<NA><NA>N
521620표준디자인 재정비 도면_택시승차대 표지.pdf/files/1599714996102462020-09-1014:17:25<NA><NA>N
532533표준디자인 재정비 도면_공공시각매체[장애인주차표지].pdf/files/1599716212544632020-09-1014:37:17<NA><NA>N
543139표준디자인 재정비 도면_시경계 안내판.pdf/files/1599720530455652020-09-1015:49:29<NA><NA>N