Overview

Dataset statistics

Number of variables10
Number of observations3004
Missing cells53
Missing cells (%)0.2%
Duplicate rows157
Duplicate rows (%)5.2%
Total size in memory243.6 KiB
Average record size in memory83.0 B

Variable types

Categorical6
Text1
Numeric3

Dataset

Description이 데이터는 충청남도 아산시의 횡단보도에 대한 정보를 담고 있습니다. 횡단보도의 신호등유무,보도턱낮춤유무, 장애인시설유무, 횡단보도폭, 횡단보도길이, 횡단보도방식, 관리기관 등의 정보를 포함합니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/15090564/fileData.do

Alerts

Dataset has 157 (5.2%) duplicate rowsDuplicates
관리기관 is highly overall correlated with 행정읍/면/동High correlation
행정읍/면/동 is highly overall correlated with 관리기관High correlation
횡단보도길이 is highly overall correlated with 신호등유무High correlation
신호등유무 is highly overall correlated with 횡단보도길이High correlation
보도턱낮춤유무 is highly overall correlated with 장애인시설유무High correlation
장애인시설유무 is highly overall correlated with 보도턱낮춤유무High correlation
관리기관 is highly imbalanced (90.2%)Imbalance
법정읍/면/동 has 53 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:21:56.585658
Analysis finished2023-12-12 04:21:58.785286
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정읍/면/동
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
배방읍
673 
둔포면
327 
음봉면
288 
탕정면
253 
온양5동
231 
Other values (16)
1232 

Length

Max length10
Median length3
Mean length3.3591877
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row탕정면
2nd row음봉면
3rd row음봉면
4th row음봉면
5th row음봉면

Common Values

ValueCountFrequency (%)
배방읍 673
22.4%
둔포면 327
10.9%
음봉면 288
9.6%
탕정면 253
 
8.4%
온양5동 231
 
7.7%
온양3동 183
 
6.1%
온양6동 152
 
5.1%
온양4동 150
 
5.0%
신창면 111
 
3.7%
인주면 103
 
3.4%
Other values (11) 533
17.7%

Length

2023-12-12T13:21:58.870562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
배방읍 673
22.4%
둔포면 327
10.9%
음봉면 288
9.6%
탕정면 253
 
8.4%
온양5동 231
 
7.7%
온양3동 183
 
6.1%
온양6동 152
 
5.1%
온양4동 150
 
5.0%
신창면 111
 
3.7%
인주면 103
 
3.4%
Other values (11) 533
17.7%

법정읍/면/동
Text

MISSING 

Distinct143
Distinct (%)4.8%
Missing53
Missing (%)1.8%
Memory size23.6 KiB
2023-12-12T13:21:59.288387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.503897
Min length2

Characters and Unicode

Total characters16242
Distinct characters134
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.5%

Sample

1st row탕정면 동산리
2nd row음봉면 산동리
3rd row음봉면 산동리
4th row음봉면 덕지리
5th row음봉면 덕지리
ValueCountFrequency (%)
배방읍 677
 
14.1%
둔포면 327
 
6.8%
음봉면 288
 
6.0%
북수리 234
 
4.9%
석곡리 218
 
4.6%
탕정면 200
 
4.2%
장재리 198
 
4.1%
온천동 196
 
4.1%
용화동 188
 
3.9%
모종동 117
 
2.4%
Other values (138) 2145
44.8%
2023-12-12T13:21:59.810081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1837
 
11.3%
리 1837
 
11.3%
면 1286
 
7.9%
동 995
 
6.1%
읍 792
 
4.9%
방 778
 
4.8%
배 684
 
4.2%
포 373
 
2.3%
둔 369
 
2.3%
수 343
 
2.1%
Other values (124) 6948
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14335
88.3%
Space Separator 1837
 
11.3%
Decimal Number 70
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1837
 
12.8%
면 1286
 
9.0%
동 995
 
6.9%
읍 792
 
5.5%
방 778
 
5.4%
배 684
 
4.8%
포 373
 
2.6%
둔 369
 
2.6%
수 343
 
2.4%
신 330
 
2.3%
Other values (118) 6548
45.7%
Decimal Number
ValueCountFrequency (%)
1 28
40.0%
4 14
20.0%
0 14
20.0%
6 7
 
10.0%
3 7
 
10.0%
Space Separator
ValueCountFrequency (%)
1837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14335
88.3%
Common 1907
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1837
 
12.8%
면 1286
 
9.0%
동 995
 
6.9%
읍 792
 
5.5%
방 778
 
5.4%
배 684
 
4.8%
포 373
 
2.6%
둔 369
 
2.6%
수 343
 
2.4%
신 330
 
2.3%
Other values (118) 6548
45.7%
Common
ValueCountFrequency (%)
1837
96.3%
1 28
 
1.5%
4 14
 
0.7%
0 14
 
0.7%
6 7
 
0.4%
3 7
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14335
88.3%
ASCII 1907
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1837
96.3%
1 28
 
1.5%
4 14
 
0.7%
0 14
 
0.7%
6 7
 
0.4%
3 7
 
0.4%
Hangul
ValueCountFrequency (%)
리 1837
 
12.8%
면 1286
 
9.0%
동 995
 
6.9%
읍 792
 
5.5%
방 778
 
5.4%
배 684
 
4.8%
포 373
 
2.6%
둔 369
 
2.6%
수 343
 
2.4%
신 330
 
2.3%
Other values (118) 6548
45.7%

관리기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
도로과
2942 
도시개발과
 
55
MNG001
 
7

Length

Max length6
Median length3
Mean length3.0436085
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로과 2942
97.9%
도시개발과 55
 
1.8%
MNG001 7
 
0.2%

Length

2023-12-12T13:21:59.972262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:22:00.102728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로과 2942
97.9%
도시개발과 55
 
1.8%
mng001 7
 
0.2%

설치일자
Real number (ℝ)

Distinct26
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19415240
Minimum2010121
Maximum20191120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-12T13:22:00.211437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010121
5-th percentile19000101
Q119000101
median19000101
Q320140101
95-th percentile20190101
Maximum20191120
Range18180999
Interquartile range (IQR)1140000

Descriptive statistics

Standard deviation1430159.1
Coefficient of variation (CV)0.073661677
Kurtosis121.46287
Mean19415240
Median Absolute Deviation (MAD)0
Skewness-10.165344
Sum5.8323381 × 1010
Variance2.0453552 × 1012
MonotonicityNot monotonic
2023-12-12T13:22:00.349876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
19000101 1640
54.6%
20140101 247
 
8.2%
20110101 188
 
6.3%
20090101 183
 
6.1%
20190101 162
 
5.4%
20141201 108
 
3.6%
20120101 93
 
3.1%
20151231 59
 
2.0%
20160101 55
 
1.8%
20160128 53
 
1.8%
Other values (16) 216
 
7.2%
ValueCountFrequency (%)
2010121 17
 
0.6%
19000101 1640
54.6%
20090101 183
 
6.1%
20100101 5
 
0.2%
20110101 188
 
6.3%
20120101 93
 
3.1%
20120831 5
 
0.2%
20121231 5
 
0.2%
20140101 247
 
8.2%
20141101 16
 
0.5%
ValueCountFrequency (%)
20191120 21
 
0.7%
20190701 9
 
0.3%
20190201 20
 
0.7%
20190101 162
5.4%
20180930 35
 
1.2%
20180601 19
 
0.6%
20171130 23
 
0.8%
20171001 11
 
0.4%
20170405 4
 
0.1%
20170131 9
 
0.3%

신호등유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
없음
1947 
있음
1057 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row없음
3rd row있음
4th row있음
5th row없음

Common Values

ValueCountFrequency (%)
없음 1947
64.8%
있음 1057
35.2%

Length

2023-12-12T13:22:00.496187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:22:00.598444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 1947
64.8%
있음 1057
35.2%

보도턱낮춤유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
있음
2384 
없음
620 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
있음 2384
79.4%
없음 620
 
20.6%

Length

2023-12-12T13:22:00.706260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:22:00.854488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 2384
79.4%
없음 620
 
20.6%

장애인시설유무
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
있음
1949 
없음
1051 
기타
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row없음
3rd row없음
4th row있음
5th row있음

Common Values

ValueCountFrequency (%)
있음 1949
64.9%
없음 1051
35.0%
기타 4
 
0.1%

Length

2023-12-12T13:22:00.990041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:22:01.092352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 1949
64.9%
없음 1051
35.0%
기타 4
 
0.1%

횡단보도폭
Real number (ℝ)

Distinct370
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9623968
Minimum0.95
Maximum23.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-12T13:22:01.225150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile2
Q13.99
median4.06
Q36
95-th percentile8
Maximum23.7
Range22.75
Interquartile range (IQR)2.01

Descriptive statistics

Standard deviation1.9224111
Coefficient of variation (CV)0.38739568
Kurtosis8.705303
Mean4.9623968
Median Absolute Deviation (MAD)1.085
Skewness1.7025655
Sum14907.04
Variance3.6956644
MonotonicityNot monotonic
2023-12-12T13:22:01.386004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0 565
18.8%
6.0 430
 
14.3%
8.0 146
 
4.9%
5.0 103
 
3.4%
3.0 90
 
3.0%
3.99 74
 
2.5%
4.01 70
 
2.3%
3.98 63
 
2.1%
2.0 46
 
1.5%
5.98 46
 
1.5%
Other values (360) 1371
45.6%
ValueCountFrequency (%)
0.95 1
< 0.1%
0.98 1
< 0.1%
1.0 2
0.1%
1.02 1
< 0.1%
1.1 1
< 0.1%
1.14 1
< 0.1%
1.15 1
< 0.1%
1.19 1
< 0.1%
1.26 2
0.1%
1.28 1
< 0.1%
ValueCountFrequency (%)
23.7 1
< 0.1%
20.02 1
< 0.1%
19.86 1
< 0.1%
19.0 1
< 0.1%
15.9 1
< 0.1%
15.8 1
< 0.1%
15.7 1
< 0.1%
15.5 1
< 0.1%
15.04 1
< 0.1%
15.03 1
< 0.1%

횡단보도길이
Real number (ℝ)

HIGH CORRELATION 

Distinct836
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.180786
Minimum1.2
Maximum76.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.5 KiB
2023-12-12T13:22:01.579937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile4
Q16
median8.52
Q313
95-th percentile21.1725
Maximum76.01
Range74.81
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8677134
Coefficient of variation (CV)0.57635173
Kurtosis9.1909943
Mean10.180786
Median Absolute Deviation (MAD)2.73
Skewness2.0492943
Sum30583.08
Variance34.430061
MonotonicityNot monotonic
2023-12-12T13:22:01.847108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 167
 
5.6%
5.0 85
 
2.8%
5.8 83
 
2.8%
4.0 73
 
2.4%
7.6 44
 
1.5%
6.8 41
 
1.4%
9.5 41
 
1.4%
13.0 39
 
1.3%
12.0 35
 
1.2%
8.0 33
 
1.1%
Other values (826) 2363
78.7%
ValueCountFrequency (%)
1.2 2
0.1%
1.4 2
0.1%
1.6 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 1
 
< 0.1%
2.0 2
0.1%
2.1 2
0.1%
2.2 2
0.1%
2.3 2
0.1%
2.5 3
0.1%
ValueCountFrequency (%)
76.01 1
< 0.1%
51.4 1
< 0.1%
45.29 1
< 0.1%
44.7 1
< 0.1%
43.49 1
< 0.1%
42.08 1
< 0.1%
41.42 1
< 0.1%
38.38 1
< 0.1%
38.36 1
< 0.1%
36.28 1
< 0.1%

횡단보도방식
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
일자형
1684 
지그재그형
1269 
험프형(고원식)
 
48
기타
 
3

Length

Max length8
Median length3
Mean length3.9237683
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일자형
2nd row일자형
3rd row지그재그형
4th row일자형
5th row일자형

Common Values

ValueCountFrequency (%)
일자형 1684
56.1%
지그재그형 1269
42.2%
험프형(고원식) 48
 
1.6%
기타 3
 
0.1%

Length

2023-12-12T13:22:02.068261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:22:02.176900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자형 1684
56.1%
지그재그형 1269
42.2%
험프형(고원식 48
 
1.6%
기타 3
 
0.1%

Interactions

2023-12-12T13:21:58.106624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:57.369994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:57.767361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:58.239678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:57.511616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:57.889589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:58.363995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:57.642699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:21:57.989748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:22:02.249586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정읍/면/동관리기관설치일자신호등유무보도턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식
행정읍/면/동1.0000.997NaN0.1920.4510.5640.3040.2470.332
관리기관0.9971.000NaN0.0160.0230.1710.1170.0490.000
설치일자NaNNaN1.000NaNNaNNaNNaNNaNNaN
신호등유무0.1920.016NaN1.0000.2330.1030.5170.6970.629
보도턱낮춤유무0.4510.023NaN0.2331.0000.4110.2370.2780.377
장애인시설유무0.5640.171NaN0.1030.4111.0000.1250.2580.164
횡단보도폭0.3040.117NaN0.5170.2370.1251.0000.4560.621
횡단보도길이0.2470.049NaN0.6970.2780.2580.4561.0000.529
횡단보도방식0.3320.000NaN0.6290.3770.1640.6210.5291.000
2023-12-12T13:22:02.381994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관보도턱낮춤유무행정읍/면/동신호등유무장애인시설유무횡단보도방식
관리기관1.0000.0380.9310.0260.0530.000
보도턱낮춤유무0.0381.0000.3960.1500.6450.252
행정읍/면/동0.9310.3961.0000.1680.3140.184
신호등유무0.0260.1500.1681.0000.1700.437
장애인시설유무0.0530.6450.3140.1701.0000.155
횡단보도방식0.0000.2520.1840.4370.1551.000
2023-12-12T13:22:02.493240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치일자횡단보도폭횡단보도길이행정읍/면/동관리기관신호등유무보도턱낮춤유무장애인시설유무횡단보도방식
설치일자1.000-0.1420.1330.4190.0000.0480.0270.1000.073
횡단보도폭-0.1421.0000.3300.1170.0690.4000.1800.0750.423
횡단보도길이0.1330.3301.0000.1040.0310.5310.2080.1690.258
행정읍/면/동0.4190.1170.1041.0000.9310.1680.3960.3140.184
관리기관0.0000.0690.0310.9311.0000.0260.0380.0530.000
신호등유무0.0480.4000.5310.1680.0261.0000.1500.1700.437
보도턱낮춤유무0.0270.1800.2080.3960.0380.1501.0000.6450.252
장애인시설유무0.1000.0750.1690.3140.0530.1700.6451.0000.155
횡단보도방식0.0730.4230.2580.1840.0000.4370.2520.1551.000

Missing values

2023-12-12T13:21:58.545889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:21:58.712824image/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

행정읍/면/동법정읍/면/동관리기관설치일자신호등유무보도턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식
0탕정면탕정면 동산리도로과19000101없음있음없음4.5314.8일자형
1음봉면음봉면 산동리도로과19000101없음있음없음3.955.77일자형
2음봉면음봉면 산동리도로과19000101있음있음없음8.1532.14지그재그형
3음봉면음봉면 덕지리도로과19000101있음있음있음4.128.78일자형
4음봉면음봉면 덕지리도로과19000101없음있음있음3.826.41일자형
5음봉면음봉면 덕지리도로과19000101있음있음있음5.8316.97지그재그형
6음봉면음봉면 덕지리도로과19000101있음있음있음6.0510.73지그재그형
7음봉면음봉면 덕지리도로과19000101없음있음있음4.026.48일자형
8음봉면음봉면 덕지리도로과19000101없음있음있음3.965.27일자형
9음봉면음봉면 덕지리도로과19000101없음있음있음4.045.88일자형
행정읍/면/동법정읍/면/동관리기관설치일자신호등유무보도턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식
2994탕정면<NA>도로과20140101있음있음있음8.217.2지그재그형
2995탕정면<NA>도로과20140101있음있음있음8.124.5지그재그형
2996탕정면<NA>도로과20140101없음있음있음2.712.2일자형
2997탕정면<NA>도로과20140101없음있음있음3.08.6일자형
2998탕정면<NA>도로과20140101없음없음없음1.657.64일자형
2999탕정면<NA>도로과20140101없음있음있음4.014.9일자형
3000탕정면<NA>도로과20140101없음있음없음3.044.7일자형
3001탕정면<NA>도로과20140101없음없음없음2.97.8일자형
3002탕정면<NA>도로과20140101있음있음있음4.911.9지그재그형
3003탕정면<NA>도로과20140101없음있음없음6.012.6지그재그형

Duplicate rows

Most frequently occurring

행정읍/면/동법정읍/면/동관리기관설치일자신호등유무보도턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식# duplicates
27둔포면둔포면 석곡리도로과20140101없음없음없음4.09.5일자형9
97온양5동용화동도로과19000101없음있음있음4.06.7일자형8
25둔포면둔포면 석곡리도로과20120101있음있음있음6.016.0지그재그형7
103온양5동용화동도로과19000101없음있음있음4.09.4일자형7
99온양5동용화동도로과19000101없음있음있음4.07.6일자형6
102온양5동용화동도로과19000101없음있음있음4.08.6일자형6
128음봉면음봉면 신수리도로과19000101없음있음없음5.87.8일자형6
28둔포면둔포면 석곡리도로과20140101없음있음있음4.06.1일자형5
89온양4동실옥동도로과19000101없음있음있음4.06.0일자형5
143인주면인주면 걸매리도로과19000101있음있음있음6.011.3지그재그형5