Overview

Dataset statistics

Number of variables11
Number of observations3190
Missing cells0
Missing cells (%)0.0%
Duplicate rows13
Duplicate rows (%)0.4%
Total size in memory283.6 KiB
Average record size in memory91.0 B

Variable types

Categorical8
Numeric3

Dataset

Description경기도 광주시 횡단보도에 대한 데이터로 지형지물부호, 관리번호, 행정구역, 법정구역, 관리기관, 신호등유무, 보도턱낮춤유무, 장애인시설유무, 횡단보도폭(m), 횡단보도길이(m), 횡단보도방식 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15091504/fileData.do

Alerts

지형지물부호 has constant value ""Constant
관리기관 has constant value ""Constant
Dataset has 13 (0.4%) duplicate rowsDuplicates
행정구역 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
법정구역 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
관리번호 is highly overall correlated with 횡단보도폭 and 2 other fieldsHigh correlation
횡단보도폭 is highly overall correlated with 관리번호High correlation
신호등유무 is highly overall correlated with 보토턱낮춤유무 and 2 other fieldsHigh correlation
보토턱낮춤유무 is highly overall correlated with 신호등유무 and 2 other fieldsHigh correlation
장애인시설유무 is highly overall correlated with 신호등유무 and 2 other fieldsHigh correlation
횡단보도방식 is highly overall correlated with 신호등유무 and 2 other fieldsHigh correlation
횡단보도길이 is highly skewed (γ1 = 42.29842151)Skewed
관리번호 has 727 (22.8%) zerosZeros
횡단보도폭 has 757 (23.7%) zerosZeros
횡단보도길이 has 757 (23.7%) zerosZeros

Reproduction

Analysis started2024-03-15 00:53:06.309581
Analysis finished2024-03-15 00:53:10.318758
Duration4.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
횡단보도
3190 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
횡단보도 3190
100.0%

Length

2024-03-15T09:53:10.433706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:53:10.679594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
횡단보도 3190
100.0%

관리번호
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2464
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8113604.4
Minimum0
Maximum92022129
Zeros727
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size28.2 KiB
2024-03-15T09:53:11.027456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199.25
median1119.5
Q31936.75
95-th percentile91518008
Maximum92022129
Range92022129
Interquartile range (IQR)1837.5

Descriptive statistics

Standard deviation25175242
Coefficient of variation (CV)3.1028432
Kurtosis6.8604231
Mean8113604.4
Median Absolute Deviation (MAD)944.5
Skewness2.9573231
Sum2.5882398 × 1010
Variance6.3379283 × 1014
MonotonicityDecreasing
2024-03-15T09:53:11.487807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 727
 
22.8%
92022129 1
 
< 0.1%
1064 1
 
< 0.1%
1072 1
 
< 0.1%
1071 1
 
< 0.1%
1070 1
 
< 0.1%
1069 1
 
< 0.1%
1068 1
 
< 0.1%
1067 1
 
< 0.1%
1065 1
 
< 0.1%
Other values (2454) 2454
76.9%
ValueCountFrequency (%)
0 727
22.8%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
92022129 1
< 0.1%
92022127 1
< 0.1%
92022126 1
< 0.1%
92022124 1
< 0.1%
92022123 1
< 0.1%
92022122 1
< 0.1%
92022121 1
< 0.1%
92022120 1
< 0.1%
92022119 1
< 0.1%
92022118 1
< 0.1%

행정구역
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
1016 
경안동
422 
송정동
344 
곤지암읍
298 
초월읍
240 
Other values (12)
870 

Length

Max length5
Median length4
Mean length3.568652
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row능평동
2nd row남한산성면
3rd row남한산성면
4th row송정동
5th row송정동

Common Values

ValueCountFrequency (%)
<NA> 1016
31.8%
경안동 422
13.2%
송정동 344
 
10.8%
곤지암읍 298
 
9.3%
초월읍 240
 
7.5%
오포2동 188
 
5.9%
오포1동 187
 
5.9%
신현동 118
 
3.7%
퇴촌면 91
 
2.9%
탄벌동 66
 
2.1%
Other values (7) 220
 
6.9%

Length

2024-03-15T09:53:11.777643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1016
31.8%
경안동 422
13.2%
송정동 344
 
10.8%
곤지암읍 298
 
9.3%
초월읍 240
 
7.5%
오포2동 188
 
5.9%
오포1동 187
 
5.9%
신현동 118
 
3.7%
퇴촌면 91
 
2.9%
탄벌동 66
 
2.1%
Other values (7) 220
 
6.9%

법정구역
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
<NA>
626 
곤지암읍
298 
태전동
264 
송정동
263 
초월읍
240 
Other values (22)
1499 

Length

Max length5
Median length3
Mean length3.2583072
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row능평동
2nd row남한산성면
3rd row남한산성면
4th row송정동
5th row송정동

Common Values

ValueCountFrequency (%)
<NA> 626
19.6%
곤지암읍 298
9.3%
태전동 264
 
8.3%
송정동 263
 
8.2%
초월읍 240
 
7.5%
경안동 200
 
6.3%
역동 170
 
5.3%
양벌동 170
 
5.3%
신현동 118
 
3.7%
장지동 112
 
3.5%
Other values (17) 729
22.9%

Length

2024-03-15T09:53:12.019008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 626
19.6%
곤지암읍 298
9.3%
태전동 264
 
8.3%
송정동 263
 
8.2%
초월읍 240
 
7.5%
경안동 200
 
6.3%
역동 170
 
5.3%
양벌동 170
 
5.3%
신현동 118
 
3.7%
장지동 112
 
3.5%
Other values (17) 729
22.9%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
경기도 광주시청
3190 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 광주시청
2nd row경기도 광주시청
3rd row경기도 광주시청
4th row경기도 광주시청
5th row경기도 광주시청

Common Values

ValueCountFrequency (%)
경기도 광주시청 3190
100.0%

Length

2024-03-15T09:53:12.230714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:53:12.474756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 3190
50.0%
광주시청 3190
50.0%

신호등유무
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
없음
1520 
있음
927 
미분류
740 
<NA>
 
3

Length

Max length4
Median length2
Mean length2.2338558
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 1520
47.6%
있음 927
29.1%
미분류 740
23.2%
<NA> 3
 
0.1%

Length

2024-03-15T09:53:12.737483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:53:13.092799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 1520
47.6%
있음 927
29.1%
미분류 740
23.2%
na 3
 
0.1%

보토턱낮춤유무
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
있음
1880 
미분류
740 
없음
567 
<NA>
 
3

Length

Max length4
Median length2
Mean length2.2338558
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
있음 1880
58.9%
미분류 740
 
23.2%
없음 567
 
17.8%
<NA> 3
 
0.1%

Length

2024-03-15T09:53:13.495948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:53:13.868467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 1880
58.9%
미분류 740
 
23.2%
없음 567
 
17.8%
na 3
 
0.1%

장애인시설유무
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
있음
1562 
없음
881 
미분류
743 
<NA>
 
4

Length

Max length4
Median length2
Mean length2.2354232
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
있음 1562
49.0%
없음 881
27.6%
미분류 743
23.3%
<NA> 4
 
0.1%

Length

2024-03-15T09:53:14.511846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:53:14.800145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 1562
49.0%
없음 881
27.6%
미분류 743
23.3%
na 4
 
0.1%

횡단보도폭
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct735
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1169906
Minimum0
Maximum60.73
Zeros757
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size28.2 KiB
2024-03-15T09:53:15.152370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.4825
median3.98
Q35.98
95-th percentile11.1505
Maximum60.73
Range60.73
Interquartile range (IQR)4.4975

Descriptive statistics

Standard deviation4.025188
Coefficient of variation (CV)0.97770153
Kurtosis19.206881
Mean4.1169906
Median Absolute Deviation (MAD)2.03
Skewness2.7478955
Sum13133.2
Variance16.202139
MonotonicityNot monotonic
2024-03-15T09:53:15.408390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 757
 
23.7%
4.0 129
 
4.0%
3.99 63
 
2.0%
2.0 59
 
1.8%
3.98 51
 
1.6%
6.0 50
 
1.6%
3.0 44
 
1.4%
4.01 41
 
1.3%
4.02 37
 
1.2%
5.98 36
 
1.1%
Other values (725) 1923
60.3%
ValueCountFrequency (%)
0.0 757
23.7%
0.66 1
 
< 0.1%
0.87 1
 
< 0.1%
1.0 1
 
< 0.1%
1.02 1
 
< 0.1%
1.07 1
 
< 0.1%
1.1 1
 
< 0.1%
1.13 2
 
0.1%
1.19 3
 
0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
60.73 1
< 0.1%
37.42 1
< 0.1%
32.51 1
< 0.1%
29.99 1
< 0.1%
29.75 1
< 0.1%
28.75 1
< 0.1%
25.76 1
< 0.1%
25.65 2
0.1%
25.28 1
< 0.1%
24.91 1
< 0.1%

횡단보도길이
Real number (ℝ)

SKEWED  ZEROS 

Distinct994
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4184044
Minimum0
Maximum675
Zeros757
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size28.2 KiB
2024-03-15T09:53:15.740834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.99
median5.86
Q38.82
95-th percentile16.243
Maximum675
Range675
Interquartile range (IQR)6.83

Descriptive statistics

Standard deviation13.048415
Coefficient of variation (CV)2.0329687
Kurtosis2162.6612
Mean6.4184044
Median Absolute Deviation (MAD)3.445
Skewness42.298422
Sum20474.71
Variance170.26114
MonotonicityNot monotonic
2024-03-15T09:53:16.186801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 757
 
23.7%
5.86 21
 
0.7%
8.5 18
 
0.6%
5.0 18
 
0.6%
5.88 18
 
0.6%
4.02 17
 
0.5%
4.07 16
 
0.5%
4.0 16
 
0.5%
5.96 15
 
0.5%
5.84 15
 
0.5%
Other values (984) 2279
71.4%
ValueCountFrequency (%)
0.0 757
23.7%
0.77 1
 
< 0.1%
0.89 1
 
< 0.1%
1.31 1
 
< 0.1%
1.34 1
 
< 0.1%
1.48 1
 
< 0.1%
1.53 1
 
< 0.1%
1.54 1
 
< 0.1%
1.62 1
 
< 0.1%
1.65 1
 
< 0.1%
ValueCountFrequency (%)
675.0 1
< 0.1%
56.23 1
< 0.1%
35.75 1
< 0.1%
34.96 1
< 0.1%
32.87 1
< 0.1%
32.22 1
< 0.1%
30.5 1
< 0.1%
30.21 1
< 0.1%
30.17 1
< 0.1%
30.1 1
< 0.1%

횡단보도방식
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
일자형
1520 
지그재그형
913 
미분류
725 
기타
 
32

Length

Max length5
Median length3
Mean length3.5623824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일자형 1520
47.6%
지그재그형 913
28.6%
미분류 725
22.7%
기타 32
 
1.0%

Length

2024-03-15T09:53:16.445553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:53:16.696032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자형 1520
47.6%
지그재그형 913
28.6%
미분류 725
22.7%
기타 32
 
1.0%

Interactions

2024-03-15T09:53:09.047676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:07.514111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:08.316828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:09.210616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:07.774829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:08.576106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:09.384771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:08.045886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:53:08.873607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:53:16.924055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호행정구역법정구역신호등유무보토턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식
관리번호1.0000.8120.7860.1480.2100.2160.2510.0000.349
행정구역0.8121.0000.9950.5250.5810.5680.2430.0000.605
법정구역0.7860.9951.0000.6170.6570.6690.2530.0000.667
신호등유무0.1480.5250.6171.0000.9450.9460.3600.0000.715
보토턱낮춤유무0.2100.5810.6570.9451.0000.9750.3330.0000.670
장애인시설유무0.2160.5680.6690.9460.9751.0000.3710.0000.669
횡단보도폭0.2510.2430.2530.3600.3330.3711.0000.0000.493
횡단보도길이0.0000.0000.0000.0000.0000.0000.0001.0000.000
횡단보도방식0.3490.6050.6670.7150.6700.6690.4930.0001.000
2024-03-15T09:53:17.243027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보토턱낮춤유무행정구역법정구역장애인시설유무횡단보도방식신호등유무
보토턱낮춤유무1.0000.3860.4350.8070.6990.712
행정구역0.3861.0000.9500.3740.3230.336
법정구역0.4350.9501.0000.4470.4140.397
장애인시설유무0.8070.3740.4471.0000.6980.714
횡단보도방식0.6990.3230.4140.6981.0000.755
신호등유무0.7120.3360.3970.7140.7551.000
2024-03-15T09:53:17.459005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호횡단보도폭횡단보도길이행정구역법정구역신호등유무보토턱낮춤유무장애인시설유무횡단보도방식
관리번호1.0000.6180.4550.5120.5410.1400.2000.2050.142
횡단보도폭0.6181.0000.4770.0870.1030.2450.2240.2540.238
횡단보도길이0.4550.4771.0000.0000.0000.0000.0000.0000.000
행정구역0.5120.0870.0001.0000.9500.3360.3860.3740.323
법정구역0.5410.1030.0000.9501.0000.3970.4350.4470.414
신호등유무0.1400.2450.0000.3360.3971.0000.7120.7140.755
보토턱낮춤유무0.2000.2240.0000.3860.4350.7121.0000.8070.699
장애인시설유무0.2050.2540.0000.3740.4470.7140.8071.0000.698
횡단보도방식0.1420.2380.0000.3230.4140.7550.6990.6981.000

Missing values

2024-03-15T09:53:09.706673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:53:10.202370image/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

지형지물부호관리번호행정구역법정구역관리기관신호등유무보토턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식
0횡단보도92022129능평동능평동경기도 광주시청없음있음없음4.0910.33일자형
1횡단보도92022127남한산성면남한산성면경기도 광주시청없음없음없음3.226.69일자형
2횡단보도92022126남한산성면남한산성면경기도 광주시청없음없음없음0.00.0일자형
3횡단보도92022124송정동송정동경기도 광주시청없음있음있음1.564.15일자형
4횡단보도92022123송정동송정동경기도 광주시청없음있음있음1.524.12일자형
5횡단보도92022122송정동탄벌동경기도 광주시청없음있음있음2.165.96일자형
6횡단보도92022121경안동경안동경기도 광주시청있음있음있음5.6814.42지그재그형
7횡단보도92022120경안동경안동경기도 광주시청있음있음있음6.011.0지그재그형
8횡단보도92022119경안동경안동경기도 광주시청있음있음있음6.035.14지그재그형
9횡단보도92022118경안동경안동경기도 광주시청있음있음있음5.286.93지그재그형
지형지물부호관리번호행정구역법정구역관리기관신호등유무보토턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식
3180횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3181횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3182횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3183횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3184횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3185횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3186횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3187횡단보도0광남1동태전동경기도 광주시청미분류미분류미분류0.00.0미분류
3188횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류
3189횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류

Duplicate rows

Most frequently occurring

지형지물부호관리번호행정구역법정구역관리기관신호등유무보토턱낮춤유무장애인시설유무횡단보도폭횡단보도길이횡단보도방식# duplicates
10횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0미분류584
4횡단보도0오포1동추자동경기도 광주시청미분류미분류미분류0.00.0미분류29
1횡단보도0신현동신현동경기도 광주시청미분류미분류미분류0.00.0미분류25
3횡단보도0오포1동문형동경기도 광주시청미분류미분류미분류0.00.0미분류24
11횡단보도0<NA><NA>경기도 광주시청미분류미분류미분류0.00.0일자형13
0횡단보도0능평동능평동경기도 광주시청미분류미분류미분류0.00.0미분류12
6횡단보도0오포2동양벌동경기도 광주시청미분류미분류미분류0.00.0미분류10
8횡단보도0탄벌동회덕동경기도 광주시청없음있음있음0.00.0일자형10
5횡단보도0오포2동매산동경기도 광주시청미분류미분류미분류0.00.0미분류6
2횡단보도0오포1동고산동경기도 광주시청미분류미분류미분류0.00.0미분류4