Overview

Dataset statistics

Number of variables8
Number of observations53
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory68.4 B

Variable types

Numeric2
Categorical2
Text3
DateTime1

Dataset

Description대전지역에서 탄력적으로 주정차 허용 가능 여부에 대한 데이터로 허용 구분, 도로명, 시점, 종점, 길이, 시간 등의 항목을 제공합니다.
Author경찰청 대전광역시경찰청
URLhttps://www.data.go.kr/data/15073605/fileData.do

Alerts

연번 is highly overall correlated with 허용시간(주말-공휴일)High correlation
허용시간(주말-공휴일) is highly overall correlated with 연번High correlation
종점 has 1 (1.9%) missing valuesMissing
연번 has unique valuesUnique
시점 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:50:37.677026
Analysis finished2024-03-15 01:50:39.837701
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size605.0 B
2024-03-15T10:50:40.059503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-03-15T10:50:40.572692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

허용구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size552.0 B
양측
28 
편측
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양측 28
52.8%
편측 25
47.2%

Length

2024-03-15T10:50:40.835910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:50:41.006154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양측 28
52.8%
편측 25
47.2%

도로명
Text

Distinct40
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-15T10:50:41.767576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.6981132
Min length3

Characters and Unicode

Total characters196
Distinct characters69
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)60.4%

Sample

1st row버드네길
2nd row버드네길
3rd row관평2로
4th row둔산대로
5th row둔산대로
ValueCountFrequency (%)
대전로 4
 
7.5%
둔산대로 4
 
7.5%
은구비로 3
 
5.7%
버드네길 2
 
3.8%
테크노2로 2
 
3.8%
계족로 2
 
3.8%
구봉로 2
 
3.8%
테크노3로 2
 
3.8%
갈마로 1
 
1.9%
오정로 1
 
1.9%
Other values (30) 30
56.6%
2024-03-15T10:50:42.987405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 49
25.0%
대 9
 
4.6%
구 6
 
3.1%
산 6
 
3.1%
노 5
 
2.6%
크 5
 
2.6%
테 5
 
2.6%
비 4
 
2.0%
은 4
 
2.0%
문 4
 
2.0%
Other values (59) 99
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
95.9%
Decimal Number 8
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 49
26.1%
대 9
 
4.8%
구 6
 
3.2%
산 6
 
3.2%
노 5
 
2.7%
크 5
 
2.7%
테 5
 
2.7%
비 4
 
2.1%
은 4
 
2.1%
문 4
 
2.1%
Other values (55) 91
48.4%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
3 2
25.0%
1 1
 
12.5%
0 1
 
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
95.9%
Common 8
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 49
26.1%
대 9
 
4.8%
구 6
 
3.2%
산 6
 
3.2%
노 5
 
2.7%
크 5
 
2.7%
테 5
 
2.7%
비 4
 
2.1%
은 4
 
2.1%
문 4
 
2.1%
Other values (55) 91
48.4%
Common
ValueCountFrequency (%)
2 4
50.0%
3 2
25.0%
1 1
 
12.5%
0 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
95.9%
ASCII 8
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 49
26.1%
대 9
 
4.8%
구 6
 
3.2%
산 6
 
3.2%
노 5
 
2.7%
크 5
 
2.7%
테 5
 
2.7%
비 4
 
2.1%
은 4
 
2.1%
문 4
 
2.1%
Other values (55) 91
48.4%
ASCII
ValueCountFrequency (%)
2 4
50.0%
3 2
25.0%
1 1
 
12.5%
0 1
 
12.5%

시점
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-15T10:50:43.748725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length12.037736
Min length3

Characters and Unicode

Total characters638
Distinct characters165
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row변동세한(아)5동 맞은편
2nd row가장교
3rd row관평동 주민센터
4th row만년동 KBS 앞
5th row만년동 303번지 앞 (KBS맞은편)
ValueCountFrequency (%)
만년동 4
 
3.8%
앞 4
 
3.8%
맞은편 2
 
1.9%
동측도로 2
 
1.9%
kbs측면 2
 
1.9%
변동세한(아)5동 1
 
1.0%
계족산칡냉면 1
 
1.0%
12 1
 
1.0%
대전로1019번길 1
 
1.0%
대덕우체국 1
 
1.0%
Other values (86) 86
81.9%
2024-03-15T10:50:44.808150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
8.2%
로 28
 
4.4%
동 26
 
4.1%
1 25
 
3.9%
( 22
 
3.4%
) 22
 
3.4%
3 16
 
2.5%
4 15
 
2.4%
2 14
 
2.2%
번 13
 
2.0%
Other values (155) 405
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409
64.1%
Decimal Number 113
 
17.7%
Space Separator 52
 
8.2%
Open Punctuation 22
 
3.4%
Close Punctuation 22
 
3.4%
Uppercase Letter 12
 
1.9%
Dash Punctuation 5
 
0.8%
Other Punctuation 2
 
0.3%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 28
 
6.8%
동 26
 
6.4%
번 13
 
3.2%
길 12
 
2.9%
대 10
 
2.4%
리 10
 
2.4%
지 8
 
2.0%
노 7
 
1.7%
가 7
 
1.7%
테 7
 
1.7%
Other values (136) 281
68.7%
Decimal Number
ValueCountFrequency (%)
1 25
22.1%
3 16
14.2%
4 15
13.3%
2 14
12.4%
0 10
 
8.8%
7 8
 
7.1%
9 7
 
6.2%
5 6
 
5.3%
8 6
 
5.3%
6 6
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
33.3%
K 4
33.3%
B 4
33.3%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
64.3%
Common 216
33.9%
Latin 12
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 28
 
6.8%
동 26
 
6.3%
번 13
 
3.2%
길 12
 
2.9%
대 10
 
2.4%
리 10
 
2.4%
지 8
 
2.0%
노 7
 
1.7%
가 7
 
1.7%
테 7
 
1.7%
Other values (137) 282
68.8%
Common
ValueCountFrequency (%)
52
24.1%
1 25
11.6%
( 22
10.2%
) 22
10.2%
3 16
 
7.4%
4 15
 
6.9%
2 14
 
6.5%
0 10
 
4.6%
7 8
 
3.7%
9 7
 
3.2%
Other values (5) 25
11.6%
Latin
ValueCountFrequency (%)
S 4
33.3%
K 4
33.3%
B 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409
64.1%
ASCII 228
35.7%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
22.8%
1 25
11.0%
( 22
9.6%
) 22
9.6%
3 16
 
7.0%
4 15
 
6.6%
2 14
 
6.1%
0 10
 
4.4%
7 8
 
3.5%
9 7
 
3.1%
Other values (8) 37
16.2%
Hangul
ValueCountFrequency (%)
로 28
 
6.8%
동 26
 
6.4%
번 13
 
3.2%
길 12
 
2.9%
대 10
 
2.4%
리 10
 
2.4%
지 8
 
2.0%
노 7
 
1.7%
가 7
 
1.7%
테 7
 
1.7%
Other values (136) 281
68.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

종점
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Memory size552.0 B
2024-03-15T10:50:45.795614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length9.8269231
Min length3

Characters and Unicode

Total characters511
Distinct characters165
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

Unique52 ?
Unique (%)100.0%

Sample

1st row가장교
2nd row쌍용자동차 서비스프라자 맞은편
3rd row동화중학교 사이
4th row만년동 KBS 앞
5th row만년동 308번지앞 (KBS맞은편)
ValueCountFrequency (%)
앞 5
 
5.3%
만년동 4
 
4.3%
맞은편 3
 
3.2%
둔산대로 2
 
2.1%
주변 2
 
2.1%
진입로 2
 
2.1%
문평119안전센터 1
 
1.1%
철로변 1
 
1.1%
뒤 1
 
1.1%
회덕초 1
 
1.1%
Other values (72) 72
76.6%
2024-03-15T10:50:47.282711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
8.2%
동 27
 
5.3%
1 15
 
2.9%
3 13
 
2.5%
2 11
 
2.2%
4 11
 
2.2%
로 11
 
2.2%
) 9
 
1.8%
8 9
 
1.8%
( 9
 
1.8%
Other values (155) 354
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
69.1%
Decimal Number 82
 
16.0%
Space Separator 42
 
8.2%
Close Punctuation 9
 
1.8%
Open Punctuation 9
 
1.8%
Uppercase Letter 8
 
1.6%
Math Symbol 3
 
0.6%
Dash Punctuation 3
 
0.6%
Other Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
7.6%
로 11
 
3.1%
앞 9
 
2.5%
대 9
 
2.5%
교 8
 
2.3%
지 8
 
2.3%
은 8
 
2.3%
가 7
 
2.0%
초 6
 
1.7%
주 5
 
1.4%
Other values (134) 255
72.2%
Decimal Number
ValueCountFrequency (%)
1 15
18.3%
3 13
15.9%
2 11
13.4%
4 11
13.4%
8 9
11.0%
0 7
8.5%
7 6
 
7.3%
5 5
 
6.1%
6 3
 
3.7%
9 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
B 2
25.0%
K 2
25.0%
G 1
 
12.5%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
69.3%
Common 149
29.2%
Latin 8
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
7.6%
로 11
 
3.1%
앞 9
 
2.5%
대 9
 
2.5%
교 8
 
2.3%
지 8
 
2.3%
은 8
 
2.3%
가 7
 
2.0%
초 6
 
1.7%
주 5
 
1.4%
Other values (135) 256
72.3%
Common
ValueCountFrequency (%)
42
28.2%
1 15
 
10.1%
3 13
 
8.7%
2 11
 
7.4%
4 11
 
7.4%
) 9
 
6.0%
8 9
 
6.0%
( 9
 
6.0%
0 7
 
4.7%
7 6
 
4.0%
Other values (6) 17
11.4%
Latin
ValueCountFrequency (%)
S 3
37.5%
B 2
25.0%
K 2
25.0%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
69.1%
ASCII 154
30.1%
Math Operators 3
 
0.6%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
27.3%
1 15
 
9.7%
3 13
 
8.4%
2 11
 
7.1%
4 11
 
7.1%
) 9
 
5.8%
8 9
 
5.8%
( 9
 
5.8%
0 7
 
4.5%
7 6
 
3.9%
Other values (9) 22
14.3%
Hangul
ValueCountFrequency (%)
동 27
 
7.6%
로 11
 
3.1%
앞 9
 
2.5%
대 9
 
2.5%
교 8
 
2.3%
지 8
 
2.3%
은 8
 
2.3%
가 7
 
2.0%
초 6
 
1.7%
주 5
 
1.4%
Other values (134) 255
72.2%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

연장(km)
Real number (ℝ)

Distinct39
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48949057
Minimum0.04
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size605.0 B
2024-03-15T10:50:47.697819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.109
Q10.2
median0.32
Q30.53
95-th percentile1.376
Maximum2
Range1.96
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.45068011
Coefficient of variation (CV)0.92071256
Kurtosis2.747344
Mean0.48949057
Median Absolute Deviation (MAD)0.16
Skewness1.7869449
Sum25.943
Variance0.20311256
MonotonicityNot monotonic
2024-03-15T10:50:48.140665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.32 4
 
7.5%
1.2 3
 
5.7%
1.0 2
 
3.8%
0.175 2
 
3.8%
0.5 2
 
3.8%
0.135 2
 
3.8%
0.26 2
 
3.8%
0.28 2
 
3.8%
0.2 2
 
3.8%
0.25 2
 
3.8%
Other values (29) 30
56.6%
ValueCountFrequency (%)
0.04 1
1.9%
0.08 1
1.9%
0.1 1
1.9%
0.115 1
1.9%
0.12 1
1.9%
0.135 2
3.8%
0.15 1
1.9%
0.16 2
3.8%
0.175 2
3.8%
0.2 2
3.8%
ValueCountFrequency (%)
2.0 1
 
1.9%
1.8 1
 
1.9%
1.64 1
 
1.9%
1.2 3
5.7%
1.18 1
 
1.9%
1.0 2
3.8%
0.9 1
 
1.9%
0.7 1
 
1.9%
0.6 1
 
1.9%
0.57 1
 
1.9%

허용시간(주말-공휴일)
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size552.0 B
매일(24시간) 노상주차장설치
8 
07:00~21:00(단, 주말 공휴일24시간허용)
6 
11:30∼14:00 (점심시간)
6 
09:00∼18:00 (시간제 주차허용)
6 
07:00∼09:00/18:00∼20:00(제외시간)
4 
Other values (13)
23 

Length

Max length43
Median length30
Mean length22.679245
Min length16

Unique

Unique5 ?
Unique (%)9.4%

Sample

1st row07:00∼20:00 (토.공휴일)
2nd row07:00∼20:00 (토.공휴일)
3rd row매일(24시간) 노상주차장설치
4th row매일(24시간) 노상주차장설치
5th row매일(24시간) 노상주차장설치

Common Values

ValueCountFrequency (%)
매일(24시간) 노상주차장설치 8
15.1%
07:00~21:00(단, 주말 공휴일24시간허용) 6
11.3%
11:30∼14:00 (점심시간) 6
11.3%
09:00∼18:00 (시간제 주차허용) 6
11.3%
07:00∼09:00/18:00∼20:00(제외시간) 4
 
7.5%
09:00∼17:00 (평일) 3
 
5.7%
20:00∼07:00 심야시간 주차허용 3
 
5.7%
07:00∼20:00 (토.공휴일) 2
 
3.8%
평일07:00∼09:00, 18:00∼20:00제외 모든 시간 허용 2
 
3.8%
07:00∼09:00/18:00∼20:00 (제외시간) 2
 
3.8%
Other values (8) 11
20.8%

Length

2024-03-15T10:50:48.604697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주차허용 14
 
10.6%
시간제 10
 
7.6%
09:00∼18:00 9
 
6.8%
매일(24시간 8
 
6.1%
노상주차장설치 8
 
6.1%
평일 7
 
5.3%
주말 7
 
5.3%
07:00~21:00(단 6
 
4.5%
공휴일24시간허용 6
 
4.5%
11:30∼14:00 6
 
4.5%
Other values (23) 51
38.6%

허용일자
Date

Distinct19
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size552.0 B
Minimum2011-03-17 00:00:00
Maximum2019-06-20 00:00:00
2024-03-15T10:50:48.961267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:50:49.342975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

Interactions

2024-03-15T10:50:38.897569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:50:38.491025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:50:39.151178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:50:38.631068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:50:49.598108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허용구분도로명시점종점연장(km)허용시간(주말-공휴일)허용일자
연번1.0000.6650.9601.0001.0000.1540.9240.942
허용구분0.6651.0000.8571.0001.0000.3630.7320.670
도로명0.9600.8571.0001.0001.0000.6040.8080.960
시점1.0001.0001.0001.0001.0001.0001.0001.000
종점1.0001.0001.0001.0001.0001.0001.0001.000
연장(km)0.1540.3630.6041.0001.0001.0000.0000.433
허용시간(주말-공휴일)0.9240.7320.8081.0001.0000.0001.0000.960
허용일자0.9420.6700.9601.0001.0000.4330.9601.000
2024-03-15T10:50:49.883603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허용구분허용시간(주말-공휴일)
허용구분1.0000.486
허용시간(주말-공휴일)0.4861.000
2024-03-15T10:50:50.121114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연장(km)허용구분허용시간(주말-공휴일)
연번1.0000.1320.4830.612
연장(km)0.1321.0000.2510.000
허용구분0.4830.2511.0000.486
허용시간(주말-공휴일)0.6120.0000.4861.000

Missing values

2024-03-15T10:50:39.433340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:50:39.678769image/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

연번허용구분도로명시점종점연장(km)허용시간(주말-공휴일)허용일자
01편측버드네길변동세한(아)5동 맞은편가장교0.2407:00∼20:00 (토.공휴일)2011-03-17
12편측버드네길가장교쌍용자동차 서비스프라자 맞은편0.2607:00∼20:00 (토.공휴일)2011-03-17
23편측관평2로관평동 주민센터동화중학교 사이0.57매일(24시간) 노상주차장설치2011-07-27
34편측둔산대로만년동 KBS 앞만년동 KBS 앞0.175매일(24시간) 노상주차장설치2011-07-27
45편측둔산대로만년동 303번지 앞 (KBS맞은편)만년동 308번지앞 (KBS맞은편)0.175매일(24시간) 노상주차장설치2011-07-27
56편측둔산대로만년동 308번지 앞 (KBS측면)만년동 373번지 앞 (둔산대로 진입로)0.5매일(24시간) 노상주차장설치2011-07-27
67편측둔산대로만년동 395번지 앞 (KBS측면)만년동 374번지 앞 (둔산대로 진입로)0.5매일(24시간) 노상주차장설치2011-07-27
78편측계룡로한우리아파트 109동 측면(아파트방면)한우리아파트 110동 측면(아파트방면)0.15매일(24시간) 노상주차장설치2011-07-27
89편측용운로용운동 용운4가 (별난왕갈비)용운3가(GS25)0.4매일(24시간) 노상주차장설치2011-06-02
910편측대동초등2길대동초등2길5 (과속방지턱)대동초등2길13 (대전세일교회)0.04매일(24시간) 노상주차장설치2011-06-21
연번허용구분도로명시점종점연장(km)허용시간(주말-공휴일)허용일자
4344양측구봉로구봉4가선암초교4가0.3307:00~21:00(단, 주말 공휴일24시간허용)2013-06-17
4445양측구봉로느리울중4가느리울마을13단지 1304동앞0.3207:00~21:00(단, 주말 공휴일24시간허용)2013-06-17
4546양측관저로관저동1143(서대전감리교회)관저동1342(느리울유치원4가)2.007:00~21:00(단, 주말 공휴일24시간허용)2013-06-17
4647양측관저서로관저동1132(구봉중학교)관저동1155(구봉고등학교)1.207:00~21:00(단, 주말 공휴일24시간허용)2013-06-17
4748편측유등로서구 용문동 285-3(덕일한마음아파트앞)<NA>0.607:00~21:00(단, 주말 공휴일24시간허용)2013-06-17
4849편측계족로계족로140번길170용운로670.37111:30~13:30 (시간제 주차허용)2015-07-16
4950양측충무로충무로269-1충무로2410.5309:00~18:00 (시간제 주차허용)2015-10-07
5051양측은구비로유성경찰서죽동교0.709:00~18:00 (시간제 주차허용)2016-09-15
5152편측갈마로내동지구대맑은아침@상가 앞0.135평일07:00∼09:00, 18:00∼20:00제외 모든 시간 허용2019-06-20
5253양측유천로동창모터스둥지식당0.35평일07:00∼09:00, 18:00∼20:00제외 모든 시간 허용2019-02-27