Overview

Dataset statistics

Number of variables9
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory76.2 B

Variable types

Numeric3
Text3
Categorical2
DateTime1

Dataset

Description서울특별시 광진구 제설함 위치정보에 대한 데이터로, 광진구 제설함의 위치정보인 도로명주소, 상세위치, 관리기관, 관리부서 등에 대한 정보를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15066599/fileData.do

Alerts

관리기관 has constant value ""Constant
관리부서 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:48:44.222300
Analysis finished2024-03-14 09:48:47.846718
Duration3.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T18:48:48.064351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2024-03-14T18:48:48.525217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

관리번호
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-14T18:48:49.830644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0181818
Min length4

Characters and Unicode

Total characters552
Distinct characters13
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

Unique110 ?
Unique (%)100.0%

Sample

1st row광진-1
2nd row광진-2
3rd row광진-3
4th row광진-4
5th row광진-5
ValueCountFrequency (%)
광진-1 1
 
0.9%
광진-69 1
 
0.9%
광진-80 1
 
0.9%
광진-79 1
 
0.9%
광진-78 1
 
0.9%
광진-77 1
 
0.9%
광진-76 1
 
0.9%
광진-75 1
 
0.9%
광진-74 1
 
0.9%
광진-73 1
 
0.9%
Other values (100) 100
90.9%
2024-03-14T18:48:51.598395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 110
19.9%
진 110
19.9%
- 110
19.9%
1 33
 
6.0%
4 21
 
3.8%
5 21
 
3.8%
6 21
 
3.8%
7 21
 
3.8%
8 21
 
3.8%
9 21
 
3.8%
Other values (3) 63
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
40.2%
Other Letter 220
39.9%
Dash Punctuation 110
19.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
14.9%
4 21
9.5%
5 21
9.5%
6 21
9.5%
7 21
9.5%
8 21
9.5%
9 21
9.5%
0 21
9.5%
2 21
9.5%
3 21
9.5%
Other Letter
ValueCountFrequency (%)
광 110
50.0%
진 110
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 332
60.1%
Hangul 220
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 110
33.1%
1 33
 
9.9%
4 21
 
6.3%
5 21
 
6.3%
6 21
 
6.3%
7 21
 
6.3%
8 21
 
6.3%
9 21
 
6.3%
0 21
 
6.3%
2 21
 
6.3%
Hangul
ValueCountFrequency (%)
광 110
50.0%
진 110
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 332
60.1%
Hangul 220
39.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 110
50.0%
진 110
50.0%
ASCII
ValueCountFrequency (%)
- 110
33.1%
1 33
 
9.9%
4 21
 
6.3%
5 21
 
6.3%
6 21
 
6.3%
7 21
 
6.3%
8 21
 
6.3%
9 21
 
6.3%
0 21
 
6.3%
2 21
 
6.3%

도로명주소
Text

Distinct79
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-14T18:48:52.631400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.3
Min length14

Characters and Unicode

Total characters1903
Distinct characters56
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)64.5%

Sample

1st row서울특별시 광진구 광나루로 619
2nd row서울특별시 광진구 광나루로 595
3rd row서울특별시 광진구 광나루로 553
4th row서울특별시 광진구 자양로 197
5th row서울특별시 광진구 자양로 117
ValueCountFrequency (%)
서울특별시 110
26.7%
광진구 110
26.7%
천호대로 34
 
8.3%
능동로 7
 
1.7%
자양로 7
 
1.7%
광나루로 7
 
1.7%
아차산로 7
 
1.7%
용마산로 6
 
1.5%
동일로 6
 
1.5%
영화사로20길 6
 
1.5%
Other values (86) 112
27.2%
2024-03-14T18:48:54.109291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
17.2%
광 120
 
6.3%
구 113
 
5.9%
서 110
 
5.8%
울 110
 
5.8%
특 110
 
5.8%
별 110
 
5.8%
시 110
 
5.8%
진 110
 
5.8%
로 106
 
5.6%
Other values (46) 576
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1313
69.0%
Space Separator 328
 
17.2%
Decimal Number 256
 
13.5%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 120
9.1%
구 113
8.6%
서 110
 
8.4%
울 110
 
8.4%
특 110
 
8.4%
별 110
 
8.4%
시 110
 
8.4%
진 110
 
8.4%
로 106
 
8.1%
호 35
 
2.7%
Other values (34) 279
21.2%
Decimal Number
ValueCountFrequency (%)
1 47
18.4%
2 35
13.7%
0 29
11.3%
7 27
10.5%
5 27
10.5%
8 22
8.6%
4 20
7.8%
3 19
7.4%
9 15
 
5.9%
6 15
 
5.9%
Space Separator
ValueCountFrequency (%)
328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1313
69.0%
Common 590
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 120
9.1%
구 113
8.6%
서 110
 
8.4%
울 110
 
8.4%
특 110
 
8.4%
별 110
 
8.4%
시 110
 
8.4%
진 110
 
8.4%
로 106
 
8.1%
호 35
 
2.7%
Other values (34) 279
21.2%
Common
ValueCountFrequency (%)
328
55.6%
1 47
 
8.0%
2 35
 
5.9%
0 29
 
4.9%
7 27
 
4.6%
5 27
 
4.6%
8 22
 
3.7%
4 20
 
3.4%
3 19
 
3.2%
9 15
 
2.5%
Other values (2) 21
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1313
69.0%
ASCII 590
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
55.6%
1 47
 
8.0%
2 35
 
5.9%
0 29
 
4.9%
7 27
 
4.6%
5 27
 
4.6%
8 22
 
3.7%
4 20
 
3.4%
3 19
 
3.2%
9 15
 
2.5%
Other values (2) 21
 
3.6%
Hangul
ValueCountFrequency (%)
광 120
9.1%
구 113
8.6%
서 110
 
8.4%
울 110
 
8.4%
특 110
 
8.4%
별 110
 
8.4%
시 110
 
8.4%
진 110
 
8.4%
로 106
 
8.1%
호 35
 
2.7%
Other values (34) 279
21.2%

상세위치
Text

Distinct93
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-03-14T18:48:55.037391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length9.9909091
Min length4

Characters and Unicode

Total characters1099
Distinct characters208
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

Unique83 ?
Unique (%)75.5%

Sample

1st row올림픽대교 북단사거리
2nd row워커힐길 입구
3rd row구의 래미안 공인중개사
4th row구의 사거리
5th row보건소 후문
ValueCountFrequency (%)
앞 14
 
6.9%
숲나루공원 10
 
4.9%
입구 8
 
3.9%
버스정류장(중앙 8
 
3.9%
아차산순환도로 6
 
3.0%
내 6
 
3.0%
횡단보도 4
 
2.0%
군자 4
 
2.0%
지하보도 4
 
2.0%
진입로 4
 
2.0%
Other values (111) 135
66.5%
2024-03-14T18:48:56.439211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
8.7%
( 29
 
2.6%
) 29
 
2.6%
리 27
 
2.5%
교 25
 
2.3%
구 24
 
2.2%
거 24
 
2.2%
사 23
 
2.1%
중 21
 
1.9%
원 21
 
1.9%
Other values (198) 780
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 901
82.0%
Space Separator 96
 
8.7%
Open Punctuation 29
 
2.6%
Close Punctuation 29
 
2.6%
Decimal Number 21
 
1.9%
Uppercase Letter 16
 
1.5%
Dash Punctuation 3
 
0.3%
Other Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 27
 
3.0%
교 25
 
2.8%
구 24
 
2.7%
거 24
 
2.7%
사 23
 
2.6%
중 21
 
2.3%
원 21
 
2.3%
장 20
 
2.2%
정 19
 
2.1%
자 17
 
1.9%
Other values (178) 680
75.5%
Decimal Number
ValueCountFrequency (%)
3 4
19.0%
1 4
19.0%
4 3
14.3%
2 3
14.3%
6 2
9.5%
0 2
9.5%
7 2
9.5%
5 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
T 5
31.2%
P 4
25.0%
A 4
25.0%
K 2
 
12.5%
S 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 901
82.0%
Common 180
 
16.4%
Latin 18
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 27
 
3.0%
교 25
 
2.8%
구 24
 
2.7%
거 24
 
2.7%
사 23
 
2.6%
중 21
 
2.3%
원 21
 
2.3%
장 20
 
2.2%
정 19
 
2.1%
자 17
 
1.9%
Other values (178) 680
75.5%
Common
ValueCountFrequency (%)
96
53.3%
( 29
 
16.1%
) 29
 
16.1%
3 4
 
2.2%
1 4
 
2.2%
4 3
 
1.7%
2 3
 
1.7%
- 3
 
1.7%
6 2
 
1.1%
. 2
 
1.1%
Other values (3) 5
 
2.8%
Latin
ValueCountFrequency (%)
T 5
27.8%
P 4
22.2%
A 4
22.2%
K 2
 
11.1%
t 1
 
5.6%
k 1
 
5.6%
S 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 901
82.0%
ASCII 198
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
48.5%
( 29
 
14.6%
) 29
 
14.6%
T 5
 
2.5%
3 4
 
2.0%
P 4
 
2.0%
A 4
 
2.0%
1 4
 
2.0%
4 3
 
1.5%
2 3
 
1.5%
Other values (10) 17
 
8.6%
Hangul
ValueCountFrequency (%)
리 27
 
3.0%
교 25
 
2.8%
구 24
 
2.7%
거 24
 
2.7%
사 23
 
2.6%
중 21
 
2.3%
원 21
 
2.3%
장 20
 
2.2%
정 19
 
2.1%
자 17
 
1.9%
Other values (178) 680
75.5%

위도
Real number (ℝ)

Distinct107
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.54961
Minimum37.46549
Maximum37.5715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T18:48:57.059119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.46549
5-th percentile37.534726
Q137.54486
median37.54983
Q337.556408
95-th percentile37.565984
Maximum37.5715
Range0.10601
Interquartile range (IQR)0.0115475

Descriptive statistics

Standard deviation0.012257999
Coefficient of variation (CV)0.0003264481
Kurtosis19.323787
Mean37.54961
Median Absolute Deviation (MAD)0.00607
Skewness-2.8424411
Sum4130.4572
Variance0.00015025854
MonotonicityNot monotonic
2024-03-14T18:48:57.500100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.55027 2
 
1.8%
37.55924 2
 
1.8%
37.55604 2
 
1.8%
37.54107 1
 
0.9%
37.54536 1
 
0.9%
37.55205 1
 
0.9%
37.55455 1
 
0.9%
37.5548 1
 
0.9%
37.552 1
 
0.9%
37.55163 1
 
0.9%
Other values (97) 97
88.2%
ValueCountFrequency (%)
37.46549 1
0.9%
37.53074 1
0.9%
37.53238 1
0.9%
37.53319 1
0.9%
37.5333 1
0.9%
37.53424 1
0.9%
37.53532 1
0.9%
37.536 1
0.9%
37.53658 1
0.9%
37.53718 1
0.9%
ValueCountFrequency (%)
37.5715 1
0.9%
37.5709 1
0.9%
37.57072 1
0.9%
37.56901 1
0.9%
37.56795 1
0.9%
37.56606 1
0.9%
37.56589 1
0.9%
37.56547 1
0.9%
37.56523 1
0.9%
37.56517 1
0.9%

경도
Real number (ℝ)

Distinct95
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08849
Minimum127.0614
Maximum127.1122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T18:48:57.934314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0614
5-th percentile127.07009
Q1127.08038
median127.08895
Q3127.09765
95-th percentile127.10635
Maximum127.1122
Range0.0508
Interquartile range (IQR)0.017275

Descriptive statistics

Standard deviation0.011322943
Coefficient of variation (CV)8.9094951 × 10-5
Kurtosis-0.58424162
Mean127.08849
Median Absolute Deviation (MAD)0.00885
Skewness-0.15923924
Sum13979.734
Variance0.00012820904
MonotonicityNot monotonic
2024-03-14T18:48:58.207118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.098 3
 
2.7%
127.0962 2
 
1.8%
127.0866 2
 
1.8%
127.0824 2
 
1.8%
127.1002 2
 
1.8%
127.0896 2
 
1.8%
127.0989 2
 
1.8%
127.0941 2
 
1.8%
127.0999 2
 
1.8%
127.0748 2
 
1.8%
Other values (85) 89
80.9%
ValueCountFrequency (%)
127.0614 1
0.9%
127.064 1
0.9%
127.0675 1
0.9%
127.0677 1
0.9%
127.0688 1
0.9%
127.0695 1
0.9%
127.0708 1
0.9%
127.071 1
0.9%
127.0731 1
0.9%
127.0732 1
0.9%
ValueCountFrequency (%)
127.1122 1
0.9%
127.1118 1
0.9%
127.1104 1
0.9%
127.1103 1
0.9%
127.1087 1
0.9%
127.1082 1
0.9%
127.1041 1
0.9%
127.1019 1
0.9%
127.1017 1
0.9%
127.1016 1
0.9%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1008.0 B
서울특별시 광진구청
110 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 광진구청
2nd row서울특별시 광진구청
3rd row서울특별시 광진구청
4th row서울특별시 광진구청
5th row서울특별시 광진구청

Common Values

ValueCountFrequency (%)
서울특별시 광진구청 110
100.0%

Length

2024-03-14T18:48:58.448252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:48:58.603160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 110
50.0%
광진구청 110
50.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1008.0 B
도로과
110 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로과 110
100.0%

Length

2024-03-14T18:48:58.890822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:48:59.185398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로과 110
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1008.0 B
Minimum2024-02-19 00:00:00
Maximum2024-02-19 00:00:00
2024-03-14T18:48:59.428924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:59.726909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T18:48:46.389776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:44.937029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:45.677550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:46.636656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:45.182338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:45.914058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:46.875178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:45.428602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:48:46.147194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:48:59.933874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소상세위치위도경도
연번1.0000.9500.9970.8280.790
도로명주소0.9501.0000.9990.8090.973
상세위치0.9970.9991.0000.9970.998
위도0.8280.8090.9971.0000.607
경도0.7900.9730.9980.6071.000
2024-03-14T18:49:00.190471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2750.161
위도0.2751.000-0.134
경도0.161-0.1341.000

Missing values

2024-03-14T18:48:47.220360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:48:47.669943image/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

연번관리번호도로명주소상세위치위도경도관리기관관리부서데이터기준일
01광진-1서울특별시 광진구 광나루로 619올림픽대교 북단사거리37.54107127.0962서울특별시 광진구청도로과2024-02-19
12광진-2서울특별시 광진구 광나루로 595워커힐길 입구37.54266127.0944서울특별시 광진구청도로과2024-02-19
23광진-3서울특별시 광진구 광나루로 553구의 래미안 공인중개사37.54482127.0903서울특별시 광진구청도로과2024-02-19
34광진-4서울특별시 광진구 자양로 197구의 사거리37.5452127.0851서울특별시 광진구청도로과2024-02-19
45광진-5서울특별시 광진구 자양로 117보건소 후문37.53883127.0821서울특별시 광진구청도로과2024-02-19
56광진-6서울특별시 광진구 자양로 117광진구청 후문37.53908127.0828서울특별시 광진구청도로과2024-02-19
67광진-7서울특별시 광진구 자양로 117광진구청 상황실 앞37.53816127.0828서울특별시 광진구청도로과2024-02-19
78광진-8서울특별시 광진구 자양로잠실대교 입구37.53074127.0868서울특별시 광진구청도로과2024-02-19
89광진-9서울특별시 광진구 자양로 48뚝섬길 입구37.53238127.0855서울특별시 광진구청도로과2024-02-19
910광진-10서울특별시 광진구 아차산로58길 77한양빌라 (구3)37.53424127.09서울특별시 광진구청도로과2024-02-19
연번관리번호도로명주소상세위치위도경도관리기관관리부서데이터기준일
100101광진-101서울특별시 광진구 아차산로 188우리은행 앞37.54202127.064서울특별시 광진구청도로과2024-02-19
101102광진-102서울특별시 광진구 능동로36길 187명륜진사갈비 앞 진입로37.55249127.0891서울특별시 광진구청도로과2024-02-19
102103광진-103서울특별시 광진구 영화사로20길아차산순환도로 내37.5497127.098서울특별시 광진구청도로과2024-02-19
103104광진-104서울특별시 광진구 영화사로20길 25아차산순환도로 내37.54996127.1002서울특별시 광진구청도로과2024-02-19
104105광진-105서울특별시 광진구 영화사로20길아차산순환도로 내37.55101127.1005서울특별시 광진구청도로과2024-02-19
105106광진-106서울특별시 광진구 영화사로20길아차산순환도로 내37.55027127.0982서울특별시 광진구청도로과2024-02-19
106107광진-107서울특별시 광진구 영화사로20길 100아차산순환도로 내37.55021127.0999서울특별시 광진구청도로과2024-02-19
107108광진-108서울특별시 광진구 영화사로20길아차산순환도로 내37.55027127.0982서울특별시 광진구청도로과2024-02-19
108109광진-109서울특별시 광진구 천호대로 528군자장어시대 앞 횡단보도37.55808127.0766서울특별시 광진구청도로과2024-02-19
109110광진-110서울특별시 광진구 용마산로 157헤덴인력인테리어 앞37.56795127.0861서울특별시 광진구청도로과2024-02-19