Overview

Dataset statistics

Number of variables8
Number of observations306
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Categorical4
Text3

Dataset

Description인천광역시 서구의 제설함 현황에 관한 데이터입니다. 연번, 구분, 관리부서, 관리번호, 전화번호, 도로명 주소, 취약지역 및 위치, 취약요인 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105261&srcSe=7661IVAWM27C61E190

Alerts

구분 has constant value ""Constant
관리부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 관리부서 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 03:12:47.022603
Analysis finished2024-04-21 03:12:48.639752
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.5
Minimum1
Maximum306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-21T12:12:48.839096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.25
Q177.25
median153.5
Q3229.75
95-th percentile290.75
Maximum306
Range305
Interquartile range (IQR)152.5

Descriptive statistics

Standard deviation88.478811
Coefficient of variation (CV)0.57640919
Kurtosis-1.2
Mean153.5
Median Absolute Deviation (MAD)76.5
Skewness0
Sum46971
Variance7828.5
MonotonicityStrictly increasing
2024-04-21T12:12:49.279842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
203 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
202 1
 
0.3%
Other values (296) 296
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
제설함
306 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제설함 306
100.0%

Length

2024-04-21T12:12:49.699380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:12:50.000739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제설함 306
100.0%

관리부서
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
검단출장소
52 
도로과
44 
석남3동
23 
신현원창동
22 
검암경서동
18 
Other values (18)
147 

Length

Max length5
Median length4
Mean length4.0457516
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
검단출장소 52
17.0%
도로과 44
14.4%
석남3동 23
 
7.5%
신현원창동 22
 
7.2%
검암경서동 18
 
5.9%
연희동 17
 
5.6%
가정3동 16
 
5.2%
가정2동 15
 
4.9%
석남1동 11
 
3.6%
원당동 10
 
3.3%
Other values (13) 78
25.5%

Length

2024-04-21T12:12:50.355351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
검단출장소 52
17.0%
도로과 44
14.4%
석남3동 23
 
7.5%
신현원창동 22
 
7.2%
검암경서동 18
 
5.9%
연희동 17
 
5.6%
가정3동 16
 
5.2%
가정2동 15
 
4.9%
석남1동 11
 
3.6%
원당동 10
 
3.3%
Other values (13) 78
25.5%

관리번호
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-21T12:12:51.715435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4346405
Min length3

Characters and Unicode

Total characters1357
Distinct characters30
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

Unique306 ?
Unique (%)100.0%

Sample

1st row검경-1
2nd row검경-2
3rd row검경-3
4th row검경-4
5th row검경-5
ValueCountFrequency (%)
검경-1 1
 
0.3%
검출-20 1
 
0.3%
아-1 1
 
0.3%
마-5 1
 
0.3%
마-4 1
 
0.3%
마-3 1
 
0.3%
마-2 1
 
0.3%
마-1 1
 
0.3%
오-3 1
 
0.3%
오-2 1
 
0.3%
Other values (296) 296
96.7%
2024-04-21T12:12:53.504465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 306
22.5%
1 141
 
10.4%
3 103
 
7.6%
2 101
 
7.4%
검 77
 
5.7%
가 67
 
4.9%
4 56
 
4.1%
출 52
 
3.8%
도 44
 
3.2%
로 44
 
3.2%
Other values (20) 366
27.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 557
41.0%
Other Letter 494
36.4%
Dash Punctuation 306
22.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
검 77
15.6%
가 67
13.6%
출 52
10.5%
도 44
8.9%
로 44
8.9%
석 43
8.7%
정 39
7.9%
좌 28
 
5.7%
신 22
 
4.5%
경 18
 
3.6%
Other values (9) 60
12.1%
Decimal Number
ValueCountFrequency (%)
1 141
25.3%
3 103
18.5%
2 101
18.1%
4 56
 
10.1%
5 35
 
6.3%
6 29
 
5.2%
7 27
 
4.8%
8 24
 
4.3%
9 21
 
3.8%
0 20
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 863
63.6%
Hangul 494
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
검 77
15.6%
가 67
13.6%
출 52
10.5%
도 44
8.9%
로 44
8.9%
석 43
8.7%
정 39
7.9%
좌 28
 
5.7%
신 22
 
4.5%
경 18
 
3.6%
Other values (9) 60
12.1%
Common
ValueCountFrequency (%)
- 306
35.5%
1 141
16.3%
3 103
 
11.9%
2 101
 
11.7%
4 56
 
6.5%
5 35
 
4.1%
6 29
 
3.4%
7 27
 
3.1%
8 24
 
2.8%
9 21
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 863
63.6%
Hangul 494
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 306
35.5%
1 141
16.3%
3 103
 
11.9%
2 101
 
11.7%
4 56
 
6.5%
5 35
 
4.1%
6 29
 
3.4%
7 27
 
3.1%
8 24
 
2.8%
9 21
 
2.4%
Hangul
ValueCountFrequency (%)
검 77
15.6%
가 67
13.6%
출 52
10.5%
도 44
8.9%
로 44
8.9%
석 43
8.7%
정 39
7.9%
좌 28
 
5.7%
신 22
 
4.5%
경 18
 
3.6%
Other values (9) 60
12.1%

전화번호
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
032-718-1552
52 
032-560-4526
44 
032-718-3943
23 
032-718-3822
22 
032-718-3505
18 
Other values (18)
147 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-718-3505
2nd row032-718-3505
3rd row032-718-3505
4th row032-718-3505
5th row032-718-3505

Common Values

ValueCountFrequency (%)
032-718-1552 52
17.0%
032-560-4526 44
14.4%
032-718-3943 23
 
7.5%
032-718-3822 22
 
7.2%
032-718-3505 18
 
5.9%
032-718-3542 17
 
5.6%
032-718-3782 16
 
5.2%
032-718-3743 15
 
4.9%
032-718-3863 11
 
3.6%
032-718-5341 10
 
3.3%
Other values (13) 78
25.5%

Length

2024-04-21T12:12:53.913873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
032-718-1552 52
17.0%
032-560-4526 44
14.4%
032-718-3943 23
 
7.5%
032-718-3822 22
 
7.2%
032-718-3505 18
 
5.9%
032-718-3542 17
 
5.6%
032-718-3782 16
 
5.2%
032-718-3743 15
 
4.9%
032-718-3863 11
 
3.6%
032-718-5341 10
 
3.3%
Other values (13) 78
25.5%

도로명
Text

Distinct204
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-21T12:12:54.932870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.5915033
Min length3

Characters and Unicode

Total characters2323
Distinct characters103
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)55.6%

Sample

1st row도요지로189번길
2nd row허암길, 검암로9번길
3rd row허암길
4th row검암로, 검암로2번길
5th row검암로2번길
ValueCountFrequency (%)
서달로 23
 
5.0%
원당대로 19
 
4.1%
장고개로 10
 
2.2%
완정로 9
 
1.9%
대곡동 8
 
1.7%
봉수대로 8
 
1.7%
승학로 8
 
1.7%
검단로 7
 
1.5%
율도로 7
 
1.5%
심곡동 7
 
1.5%
Other values (239) 356
77.1%
2024-04-21T12:12:56.218898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 298
 
12.8%
158
 
6.8%
길 152
 
6.5%
번 144
 
6.2%
1 122
 
5.3%
2 107
 
4.6%
3 85
 
3.7%
4 62
 
2.7%
대 60
 
2.6%
0 52
 
2.2%
Other values (93) 1083
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1449
62.4%
Decimal Number 654
28.2%
Space Separator 158
 
6.8%
Dash Punctuation 22
 
0.9%
Open Punctuation 18
 
0.8%
Close Punctuation 18
 
0.8%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 298
20.6%
길 152
 
10.5%
번 144
 
9.9%
대 60
 
4.1%
서 48
 
3.3%
동 43
 
3.0%
달 39
 
2.7%
원 38
 
2.6%
곡 35
 
2.4%
검 31
 
2.1%
Other values (78) 561
38.7%
Decimal Number
ValueCountFrequency (%)
1 122
18.7%
2 107
16.4%
3 85
13.0%
4 62
9.5%
0 52
8.0%
5 51
7.8%
8 49
7.5%
9 42
 
6.4%
6 42
 
6.4%
7 42
 
6.4%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1449
62.4%
Common 874
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 298
20.6%
길 152
 
10.5%
번 144
 
9.9%
대 60
 
4.1%
서 48
 
3.3%
동 43
 
3.0%
달 39
 
2.7%
원 38
 
2.6%
곡 35
 
2.4%
검 31
 
2.1%
Other values (78) 561
38.7%
Common
ValueCountFrequency (%)
158
18.1%
1 122
14.0%
2 107
12.2%
3 85
9.7%
4 62
 
7.1%
0 52
 
5.9%
5 51
 
5.8%
8 49
 
5.6%
9 42
 
4.8%
6 42
 
4.8%
Other values (5) 104
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1449
62.4%
ASCII 874
37.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 298
20.6%
길 152
 
10.5%
번 144
 
9.9%
대 60
 
4.1%
서 48
 
3.3%
동 43
 
3.0%
달 39
 
2.7%
원 38
 
2.6%
곡 35
 
2.4%
검 31
 
2.1%
Other values (78) 561
38.7%
ASCII
ValueCountFrequency (%)
158
18.1%
1 122
14.0%
2 107
12.2%
3 85
9.7%
4 62
 
7.1%
0 52
 
5.9%
5 51
 
5.8%
8 49
 
5.6%
9 42
 
4.8%
6 42
 
4.8%
Other values (5) 104
11.9%

취약지역 및 위치
Text

Distinct303
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-21T12:12:56.783276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length10.232026
Min length2

Characters and Unicode

Total characters3131
Distinct characters348
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

Unique301 ?
Unique (%)98.4%

Sample

1st row검암역 샛길
2nd rowCU 검암중앙점 앞
3rd row천우 웨스턴빌 앞
4th row삼거리 교차로
5th row유현샤인빌 앞
ValueCountFrequency (%)
앞 162
 
21.1%
옆 26
 
3.4%
입구 19
 
2.5%
상가 15
 
2.0%
인근 12
 
1.6%
뒤 11
 
1.4%
사거리 8
 
1.0%
앞(신현동 8
 
1.0%
버스정류장 6
 
0.8%
건너편 6
 
0.8%
Other values (427) 496
64.5%
2024-04-21T12:12:57.617725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
470
 
15.0%
앞 174
 
5.6%
동 69
 
2.2%
트 58
 
1.9%
아 57
 
1.8%
빌 54
 
1.7%
파 45
 
1.4%
1 45
 
1.4%
라 42
 
1.3%
2 41
 
1.3%
Other values (338) 2076
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2356
75.2%
Space Separator 470
 
15.0%
Decimal Number 191
 
6.1%
Open Punctuation 30
 
1.0%
Close Punctuation 30
 
1.0%
Dash Punctuation 25
 
0.8%
Uppercase Letter 24
 
0.8%
Other Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 174
 
7.4%
동 69
 
2.9%
트 58
 
2.5%
아 57
 
2.4%
빌 54
 
2.3%
파 45
 
1.9%
라 42
 
1.8%
이 39
 
1.7%
신 38
 
1.6%
가 36
 
1.5%
Other values (312) 1744
74.0%
Decimal Number
ValueCountFrequency (%)
1 45
23.6%
2 41
21.5%
4 19
9.9%
3 15
 
7.9%
5 14
 
7.3%
7 14
 
7.3%
0 13
 
6.8%
9 12
 
6.3%
8 11
 
5.8%
6 7
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
C 8
33.3%
A 3
 
12.5%
U 3
 
12.5%
K 3
 
12.5%
H 2
 
8.3%
T 2
 
8.3%
M 1
 
4.2%
D 1
 
4.2%
B 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
@ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
470
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2356
75.2%
Common 751
 
24.0%
Latin 24
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 174
 
7.4%
동 69
 
2.9%
트 58
 
2.5%
아 57
 
2.4%
빌 54
 
2.3%
파 45
 
1.9%
라 42
 
1.8%
이 39
 
1.7%
신 38
 
1.6%
가 36
 
1.5%
Other values (312) 1744
74.0%
Common
ValueCountFrequency (%)
470
62.6%
1 45
 
6.0%
2 41
 
5.5%
( 30
 
4.0%
) 30
 
4.0%
- 25
 
3.3%
4 19
 
2.5%
3 15
 
2.0%
5 14
 
1.9%
7 14
 
1.9%
Other values (7) 48
 
6.4%
Latin
ValueCountFrequency (%)
C 8
33.3%
A 3
 
12.5%
U 3
 
12.5%
K 3
 
12.5%
H 2
 
8.3%
T 2
 
8.3%
M 1
 
4.2%
D 1
 
4.2%
B 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2356
75.2%
ASCII 775
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
470
60.6%
1 45
 
5.8%
2 41
 
5.3%
( 30
 
3.9%
) 30
 
3.9%
- 25
 
3.2%
4 19
 
2.5%
3 15
 
1.9%
5 14
 
1.8%
7 14
 
1.8%
Other values (16) 72
 
9.3%
Hangul
ValueCountFrequency (%)
앞 174
 
7.4%
동 69
 
2.9%
트 58
 
2.5%
아 57
 
2.4%
빌 54
 
2.3%
파 45
 
1.9%
라 42
 
1.8%
이 39
 
1.7%
신 38
 
1.6%
가 36
 
1.5%
Other values (312) 1744
74.0%

취약요인
Categorical

Distinct27
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경사로
162 
교차로
28 
상습결빙지역
22 
응달
18 
경사로 및 응달
18 
Other values (22)
58 

Length

Max length17
Median length3
Mean length4.6633987
Min length2

Unique

Unique14 ?
Unique (%)4.6%

Sample

1st row응달 및 경사로
2nd row소방도로 및 경사로
3rd row경사로
4th row경사로
5th row경사로

Common Values

ValueCountFrequency (%)
경사로 162
52.9%
교차로 28
 
9.2%
상습결빙지역 22
 
7.2%
응달 18
 
5.9%
경사로 및 응달 18
 
5.9%
고갯길·결빙구간 13
 
4.2%
이면도로(골목길· 마을안길 등) 9
 
2.9%
교차로, 경사로 8
 
2.6%
보도육교 4
 
1.3%
외곽지역도로 3
 
1.0%
Other values (17) 21
 
6.9%

Length

2024-04-21T12:12:58.071100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경사로 194
48.0%
응달 40
 
9.9%
교차로 36
 
8.9%
및 27
 
6.7%
상습결빙지역 22
 
5.4%
고갯길·결빙구간 13
 
3.2%
이면도로(골목길· 9
 
2.2%
마을안길 9
 
2.2%
등 9
 
2.2%
관내 5
 
1.2%
Other values (23) 40
 
9.9%

Interactions

2024-04-21T12:12:47.720284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T12:12:58.218744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리부서전화번호취약요인
연번1.0000.9710.9710.813
관리부서0.9711.0001.0000.898
전화번호0.9711.0001.0000.898
취약요인0.8130.8980.8981.000
2024-04-21T12:12:58.372529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리부서전화번호취약요인
관리부서1.0001.0000.464
전화번호1.0001.0000.464
취약요인0.4640.4641.000
2024-04-21T12:12:58.523248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리부서전화번호취약요인
연번1.0000.8180.8180.443
관리부서0.8181.0001.0000.464
전화번호0.8181.0001.0000.464
취약요인0.4430.4640.4641.000

Missing values

2024-04-21T12:12:48.067223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T12:12:48.481791image/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

연번구분관리부서관리번호전화번호도로명취약지역 및 위치취약요인
01제설함검암경서동검경-1032-718-3505도요지로189번길검암역 샛길응달 및 경사로
12제설함검암경서동검경-2032-718-3505허암길, 검암로9번길CU 검암중앙점 앞소방도로 및 경사로
23제설함검암경서동검경-3032-718-3505허암길천우 웨스턴빌 앞경사로
34제설함검암경서동검경-4032-718-3505검암로, 검암로2번길삼거리 교차로경사로
45제설함검암경서동검경-5032-718-3505검암로2번길유현샤인빌 앞경사로
56제설함검암경서동검경-6032-718-3505검암로20번길현우 프라자 맞은편 공터 앞경사로
67제설함검암경서동검경-7032-718-3505승학로572번길CU 검암신명점 앞경사로
78제설함검암경서동검경-8032-718-3505승학로572번길은지초등학교 앞경사로 및 초등학교 주변
89제설함검암경서동검경-9032-718-3505검암로2번길, 꽃뫼1길꽃뫼마을 진입로차량 진입 어려움 및 경사로
910제설함검암경서동검경-10032-718-3505검암로2번길꽃뫼마을 내부차량 진입 어려움 및 경사로
연번구분관리부서관리번호전화번호도로명취약지역 및 위치취약요인
296297제설함도로과도로-35032-560-4526서달로 147가정김밥 상가 앞경사로 및 응달
297298제설함도로과도로-36032-560-4526서달로163번길 9한국약국 앞경사로 및 응달
298299제설함도로과도로-37032-560-4526서달로 55-1엑스포빌라 앞경사로 및 응달
299300제설함도로과도로-38032-560-4526길주로 133한빛빌라 앞경사로 및 응달
300301제설함도로과도로-39032-560-4526가정로38번길 29오성보링공업사 앞응달
301302제설함도로과도로-40032-560-4526장고개로309번길 5가좌초등학교 건너편응달
302303제설함도로과도로-41032-560-4526원적로 45염광교회 앞경사로 및 응달
303304제설함도로과도로-42032-560-4526장고개로 276인형극단 하늘 상가 앞경사로
304305제설함도로과도로-43032-560-4526열우물로 164열우물경기장 버스정류장 앞경사로 및 응달
305306제설함도로과도로-44032-560-4526여우재로75번길 3유영아파트 건너편경사로