Overview

Dataset statistics

Number of variables9
Number of observations5140
Missing cells7
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory371.6 KiB
Average record size in memory74.0 B

Variable types

Text3
Categorical3
Numeric2
DateTime1

Dataset

Description인천광역시 미추홀구에 설치된 가로등에 대한 정보로서 관리번호, 주소, 위도, 경도, 설치형태 등의 내용을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086817&srcSe=7661IVAWM27C61E190

Alerts

사용목적 has constant value ""Constant
데이터기준일 has constant value ""Constant
데이터관리부서 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 18:02:22.232840
Analysis finished2024-01-28 18:02:23.270668
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct5140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-01-29T03:02:23.437443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length14.056031
Min length8

Characters and Unicode

Total characters72248
Distinct characters129
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5140 ?
Unique (%)100.0%

Sample

1st row2030거리(#249)-01
2nd row2030거리(#249)-02
3rd row2030거리(#249)-03
4th row2030거리(#249)-04
5th row2030거리(#249)-05
ValueCountFrequency (%)
구월남로48번길1 18
 
0.3%
문화서로65번길1 14
 
0.3%
염전로2(#219)-02 1
 
< 0.1%
염전로2(#219)-08 1
 
< 0.1%
염전로2(#219)-07 1
 
< 0.1%
염전로2(#219)-06 1
 
< 0.1%
염전로2(#219)-05 1
 
< 0.1%
염전로2(#219)-04 1
 
< 0.1%
염전로2(#219)-03 1
 
< 0.1%
염전로2(#219)-10 1
 
< 0.1%
Other values (5132) 5132
99.2%
2024-01-29T03:02:23.836825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7255
 
10.0%
- 5140
 
7.1%
# 4925
 
6.8%
( 4730
 
6.5%
) 4730
 
6.5%
0 4670
 
6.5%
2 4655
 
6.4%
로 4489
 
6.2%
3 3115
 
4.3%
4 2175
 
3.0%
Other values (119) 26364
36.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31286
43.3%
Other Letter 21374
29.6%
Dash Punctuation 5140
 
7.1%
Other Punctuation 4925
 
6.8%
Open Punctuation 4730
 
6.5%
Close Punctuation 4730
 
6.5%
Space Separator 32
 
< 0.1%
Connector Punctuation 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4489
21.0%
길 979
 
4.6%
번 852
 
4.0%
대 788
 
3.7%
인 758
 
3.5%
소 627
 
2.9%
하 543
 
2.5%
홀 496
 
2.3%
경 487
 
2.3%
석 447
 
2.1%
Other values (103) 10908
51.0%
Decimal Number
ValueCountFrequency (%)
1 7255
23.2%
0 4670
14.9%
2 4655
14.9%
3 3115
10.0%
4 2175
 
7.0%
5 2106
 
6.7%
7 1891
 
6.0%
8 1855
 
5.9%
6 1823
 
5.8%
9 1741
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 5140
100.0%
Other Punctuation
ValueCountFrequency (%)
# 4925
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4730
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50874
70.4%
Hangul 21374
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4489
21.0%
길 979
 
4.6%
번 852
 
4.0%
대 788
 
3.7%
인 758
 
3.5%
소 627
 
2.9%
하 543
 
2.5%
홀 496
 
2.3%
경 487
 
2.3%
석 447
 
2.1%
Other values (103) 10908
51.0%
Common
ValueCountFrequency (%)
1 7255
14.3%
- 5140
10.1%
# 4925
9.7%
( 4730
9.3%
) 4730
9.3%
0 4670
9.2%
2 4655
9.2%
3 3115
6.1%
4 2175
 
4.3%
5 2106
 
4.1%
Other values (6) 7373
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50874
70.4%
Hangul 21374
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7255
14.3%
- 5140
10.1%
# 4925
9.7%
( 4730
9.3%
) 4730
9.3%
0 4670
9.2%
2 4655
9.2%
3 3115
6.1%
4 2175
 
4.3%
5 2106
 
4.1%
Other values (6) 7373
14.5%
Hangul
ValueCountFrequency (%)
로 4489
21.0%
길 979
 
4.6%
번 852
 
4.0%
대 788
 
3.7%
인 758
 
3.5%
소 627
 
2.9%
하 543
 
2.5%
홀 496
 
2.3%
경 487
 
2.3%
석 447
 
2.1%
Other values (103) 10908
51.0%

사용목적
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
가로등
5140 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가로등 5140
100.0%

Length

2024-01-29T03:02:23.956910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T03:02:24.034508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로등 5140
100.0%

소재지도로명주소
Text

Distinct2263
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
2024-01-29T03:02:24.236071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length19.264397
Min length9

Characters and Unicode

Total characters99019
Distinct characters111
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

Unique1588 ?
Unique (%)30.9%

Sample

1st row인천광역시 미추홀구 주안로104번길 21
2nd row인천광역시 미추홀구 주안로104번길 14
3rd row인천광역시 미추홀구 미추홀대로734번길 6
4th row인천광역시 미추홀구 주안로104번길 12
5th row인천광역시 미추홀구 주안로104번길 4
ValueCountFrequency (%)
인천광역시 5047
24.7%
미추홀구 4823
23.6%
매소홀로 353
 
1.7%
석정로 221
 
1.1%
경인로 214
 
1.0%
인주대로 176
 
0.9%
염전로 175
 
0.9%
경원대로 155
 
0.8%
인하로 148
 
0.7%
소성로 147
 
0.7%
Other values (1240) 8979
43.9%
2024-01-29T03:02:24.590854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15298
15.4%
인 5936
 
6.0%
홀 5426
 
5.5%
구 5090
 
5.1%
천 5064
 
5.1%
광 5047
 
5.1%
역 5047
 
5.1%
시 5047
 
5.1%
추 4982
 
5.0%
미 4982
 
5.0%
Other values (101) 37100
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66620
67.3%
Decimal Number 16485
 
16.6%
Space Separator 15298
 
15.4%
Dash Punctuation 616
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 5936
 
8.9%
홀 5426
 
8.1%
구 5090
 
7.6%
천 5064
 
7.6%
광 5047
 
7.6%
역 5047
 
7.6%
시 5047
 
7.6%
추 4982
 
7.5%
미 4982
 
7.5%
로 4936
 
7.4%
Other values (89) 15063
22.6%
Decimal Number
ValueCountFrequency (%)
1 2791
16.9%
2 2426
14.7%
3 2056
12.5%
4 1790
10.9%
5 1704
10.3%
6 1376
8.3%
7 1251
7.6%
8 1169
7.1%
0 1062
 
6.4%
9 860
 
5.2%
Space Separator
ValueCountFrequency (%)
15298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66620
67.3%
Common 32399
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 5936
 
8.9%
홀 5426
 
8.1%
구 5090
 
7.6%
천 5064
 
7.6%
광 5047
 
7.6%
역 5047
 
7.6%
시 5047
 
7.6%
추 4982
 
7.5%
미 4982
 
7.5%
로 4936
 
7.4%
Other values (89) 15063
22.6%
Common
ValueCountFrequency (%)
15298
47.2%
1 2791
 
8.6%
2 2426
 
7.5%
3 2056
 
6.3%
4 1790
 
5.5%
5 1704
 
5.3%
6 1376
 
4.2%
7 1251
 
3.9%
8 1169
 
3.6%
0 1062
 
3.3%
Other values (2) 1476
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66620
67.3%
ASCII 32399
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15298
47.2%
1 2791
 
8.6%
2 2426
 
7.5%
3 2056
 
6.3%
4 1790
 
5.5%
5 1704
 
5.3%
6 1376
 
4.2%
7 1251
 
3.9%
8 1169
 
3.6%
0 1062
 
3.3%
Other values (2) 1476
 
4.6%
Hangul
ValueCountFrequency (%)
인 5936
 
8.9%
홀 5426
 
8.1%
구 5090
 
7.6%
천 5064
 
7.6%
광 5047
 
7.6%
역 5047
 
7.6%
시 5047
 
7.6%
추 4982
 
7.5%
미 4982
 
7.5%
로 4936
 
7.4%
Other values (89) 15063
22.6%

소재지지번주소
Text

Distinct1431
Distinct (%)27.9%
Missing7
Missing (%)0.1%
Memory size40.3 KiB
2024-01-29T03:02:24.872770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.79661
Min length16

Characters and Unicode

Total characters101616
Distinct characters52
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

Unique903 ?
Unique (%)17.6%

Sample

1st row인천광역시 미추홀구 주안동 167
2nd row인천광역시 미추홀구 주안동 140-5
3rd row인천광역시 미추홀구 주안동 143-3
4th row인천광역시 미추홀구 주안동 140-4
5th row인천광역시 미추홀구 주안동 140-4
ValueCountFrequency (%)
인천광역시 5133
25.0%
미추홀구 5082
24.8%
주안동 907
 
4.4%
용현동 901
 
4.4%
도화동 859
 
4.2%
학익동 653
 
3.2%
숭의동 342
 
1.7%
관교동 199
 
1.0%
문학동 188
 
0.9%
162-14 134
 
0.7%
Other values (1424) 6120
29.8%
2024-01-29T03:02:25.302603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15385
 
15.1%
동 5153
 
5.1%
인 5133
 
5.1%
광 5133
 
5.1%
역 5133
 
5.1%
시 5133
 
5.1%
구 5133
 
5.1%
천 5133
 
5.1%
미 5082
 
5.0%
추 5082
 
5.0%
Other values (42) 40116
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61532
60.6%
Decimal Number 21532
 
21.2%
Space Separator 15385
 
15.1%
Dash Punctuation 3167
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5153
8.4%
인 5133
8.3%
광 5133
8.3%
역 5133
8.3%
시 5133
8.3%
구 5133
8.3%
천 5133
8.3%
미 5082
8.3%
추 5082
8.3%
홀 5082
8.3%
Other values (30) 10335
16.8%
Decimal Number
ValueCountFrequency (%)
1 4364
20.3%
2 2652
12.3%
5 2277
10.6%
4 2260
10.5%
6 2053
9.5%
7 1934
9.0%
3 1827
8.5%
8 1550
 
7.2%
0 1328
 
6.2%
9 1287
 
6.0%
Space Separator
ValueCountFrequency (%)
15385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3167
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61532
60.6%
Common 40084
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5153
8.4%
인 5133
8.3%
광 5133
8.3%
역 5133
8.3%
시 5133
8.3%
구 5133
8.3%
천 5133
8.3%
미 5082
8.3%
추 5082
8.3%
홀 5082
8.3%
Other values (30) 10335
16.8%
Common
ValueCountFrequency (%)
15385
38.4%
1 4364
 
10.9%
- 3167
 
7.9%
2 2652
 
6.6%
5 2277
 
5.7%
4 2260
 
5.6%
6 2053
 
5.1%
7 1934
 
4.8%
3 1827
 
4.6%
8 1550
 
3.9%
Other values (2) 2615
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61532
60.6%
ASCII 40084
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15385
38.4%
1 4364
 
10.9%
- 3167
 
7.9%
2 2652
 
6.6%
5 2277
 
5.7%
4 2260
 
5.6%
6 2053
 
5.1%
7 1934
 
4.8%
3 1827
 
4.6%
8 1550
 
3.9%
Other values (2) 2615
 
6.5%
Hangul
ValueCountFrequency (%)
동 5153
8.4%
인 5133
8.3%
광 5133
8.3%
역 5133
8.3%
시 5133
8.3%
구 5133
8.3%
천 5133
8.3%
미 5082
8.3%
추 5082
8.3%
홀 5082
8.3%
Other values (30) 10335
16.8%

위도
Real number (ℝ)

Distinct4798
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.456155
Minimum37.430236
Maximum37.48438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-01-29T03:02:25.441469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.430236
5-th percentile37.438733
Q137.445639
median37.455787
Q337.465966
95-th percentile37.475633
Maximum37.48438
Range0.054144
Interquartile range (IQR)0.0203275

Descriptive statistics

Standard deviation0.011942194
Coefficient of variation (CV)0.00031883129
Kurtosis-0.97884364
Mean37.456155
Median Absolute Deviation (MAD)0.0101745
Skewness0.13359859
Sum192524.64
Variance0.000142616
MonotonicityNot monotonic
2024-01-29T03:02:25.561142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.453322 4
 
0.1%
37.466303 4
 
0.1%
37.461617 3
 
0.1%
37.471143 3
 
0.1%
37.457745 3
 
0.1%
37.464548 3
 
0.1%
37.461057 3
 
0.1%
37.457282 3
 
0.1%
37.451437 3
 
0.1%
37.459077 3
 
0.1%
Other values (4788) 5108
99.4%
ValueCountFrequency (%)
37.430236 1
< 0.1%
37.43038 1
< 0.1%
37.430538 1
< 0.1%
37.430638 1
< 0.1%
37.430679 1
< 0.1%
37.430757 1
< 0.1%
37.430814 1
< 0.1%
37.430882 1
< 0.1%
37.430955 1
< 0.1%
37.431017 1
< 0.1%
ValueCountFrequency (%)
37.48438 1
< 0.1%
37.48419 1
< 0.1%
37.483995 1
< 0.1%
37.48387 1
< 0.1%
37.483784 1
< 0.1%
37.483743 1
< 0.1%
37.483567 1
< 0.1%
37.483538 1
< 0.1%
37.483441 1
< 0.1%
37.483313 1
< 0.1%

경도
Real number (ℝ)

Distinct4912
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.6645
Minimum126.62929
Maximum126.70273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.3 KiB
2024-01-29T03:02:25.686155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62929
5-th percentile126.63446
Q1126.64969
median126.66381
Q3126.67932
95-th percentile126.69379
Maximum126.70273
Range0.073445
Interquartile range (IQR)0.02963125

Descriptive statistics

Standard deviation0.018176652
Coefficient of variation (CV)0.00014350234
Kurtosis-0.9588014
Mean126.6645
Median Absolute Deviation (MAD)0.0147105
Skewness0.0022804658
Sum651055.55
Variance0.00033039069
MonotonicityNot monotonic
2024-01-29T03:02:25.805706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.676426 3
 
0.1%
126.670558 3
 
0.1%
126.667551 3
 
0.1%
126.682426 3
 
0.1%
126.658112 3
 
0.1%
126.66789 3
 
0.1%
126.689805 3
 
0.1%
126.685811 3
 
0.1%
126.690113 2
 
< 0.1%
126.643519 2
 
< 0.1%
Other values (4902) 5112
99.5%
ValueCountFrequency (%)
126.629286 1
< 0.1%
126.629438 1
< 0.1%
126.629563 1
< 0.1%
126.629692 1
< 0.1%
126.629751 1
< 0.1%
126.629815 1
< 0.1%
126.629909 1
< 0.1%
126.629928 1
< 0.1%
126.630023 1
< 0.1%
126.630049 1
< 0.1%
ValueCountFrequency (%)
126.702731 1
< 0.1%
126.702719 1
< 0.1%
126.702524 1
< 0.1%
126.70251 1
< 0.1%
126.702386 1
< 0.1%
126.702381 1
< 0.1%
126.702299 1
< 0.1%
126.702244 1
< 0.1%
126.702242 1
< 0.1%
126.702235 1
< 0.1%

설치형태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
LED
4330 
CDM
810 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
LED 4330
84.2%
CDM 810
 
15.8%

Length

2024-01-29T03:02:25.922685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T03:02:26.003036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
led 4330
84.2%
cdm 810
 
15.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
Minimum2023-07-26 00:00:00
Maximum2023-07-26 00:00:00
2024-01-29T03:02:26.073191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T03:02:26.164621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.3 KiB
미추홀구청 건설과
5140 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미추홀구청 건설과
2nd row미추홀구청 건설과
3rd row미추홀구청 건설과
4th row미추홀구청 건설과
5th row미추홀구청 건설과

Common Values

ValueCountFrequency (%)
미추홀구청 건설과 5140
100.0%

Length

2024-01-29T03:02:26.281469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T03:02:26.729589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구청 5140
50.0%
건설과 5140
50.0%

Interactions

2024-01-29T03:02:22.895828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T03:02:22.703503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T03:02:22.988255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T03:02:22.793951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T03:02:26.781386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치형태
위도1.0000.6560.328
경도0.6561.0000.178
설치형태0.3280.1781.000
2024-01-29T03:02:26.868852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치형태
위도1.000-0.0380.252
경도-0.0381.0000.136
설치형태0.2520.1361.000

Missing values

2024-01-29T03:02:23.103859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T03:02:23.218769image/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

관리번호사용목적소재지도로명주소소재지지번주소위도경도설치형태데이터기준일데이터관리부서
02030거리(#249)-01가로등인천광역시 미추홀구 주안로104번길 21인천광역시 미추홀구 주안동 16737.462825126.681185LED2023-07-26미추홀구청 건설과
12030거리(#249)-02가로등인천광역시 미추홀구 주안로104번길 14인천광역시 미추홀구 주안동 140-537.463219126.681198LED2023-07-26미추홀구청 건설과
22030거리(#249)-03가로등인천광역시 미추홀구 미추홀대로734번길 6인천광역시 미추홀구 주안동 143-337.462913126.680722LED2023-07-26미추홀구청 건설과
32030거리(#249)-04가로등인천광역시 미추홀구 주안로104번길 12인천광역시 미추홀구 주안동 140-437.463501126.681211LED2023-07-26미추홀구청 건설과
42030거리(#249)-05가로등인천광역시 미추홀구 주안로104번길 4인천광역시 미추홀구 주안동 140-437.463649126.681213LED2023-07-26미추홀구청 건설과
52030거리(#249)-06가로등인천광역시 미추홀구 주안로104번길 40인천광역시 미추홀구 주안동 16737.462043126.681164LED2023-07-26미추홀구청 건설과
62030거리(#249)-07가로등인천광역시 미추홀구 미추홀대로734번길 40인천광역시 미추홀구 주안동 147-837.462862126.682661LED2023-07-26미추홀구청 건설과
72030거리(#249)-500가로등인천광역시 미추홀구 미추홀대로734번길 38인천광역시 미추홀구 주안동 147-137.46287126.682418LED2023-07-26미추홀구청 건설과
82030거리(#249)-501가로등인천광역시 미추홀구 주안로104번길 4인천광역시 미추홀구 주안동 140-137.463776126.681217LED2023-07-26미추홀구청 건설과
92030거리(#249)-503가로등인천광역시 미추홀구 주안로104번길 24인천광역시 미추홀구 주안동 143-137.462911126.680901LED2023-07-26미추홀구청 건설과
관리번호사용목적소재지도로명주소소재지지번주소위도경도설치형태데이터기준일데이터관리부서
5130한나루로7(#336)-12가로등도로명 주소 없음인천광역시 미추홀구 학익1동 48637.442523126.663711LED2023-07-26미추홀구청 건설과
5131한나루로7(#336)-13가로등도로명 주소 없음인천광역시 미추홀구 학익1동 48637.442721126.663875LED2023-07-26미추홀구청 건설과
5132한나루로7(#336)-14가로등도로명 주소 없음인천광역시 미추홀구 학익1동 48637.442886126.663817LED2023-07-26미추홀구청 건설과
5133한나루로8(#337)-01가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.44117126.661265LED2023-07-26미추홀구청 건설과
5134한나루로8(#337)-02가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.441058126.661562LED2023-07-26미추홀구청 건설과
5135한나루로8(#337)-03가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.440948126.661835LED2023-07-26미추홀구청 건설과
5136한나루로8(#337)-04가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.440766126.662129LED2023-07-26미추홀구청 건설과
5137한나루로8(#337)-05가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.440603126.662216LED2023-07-26미추홀구청 건설과
5138한나루로8(#337)-06가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.440365126.662083LED2023-07-26미추홀구청 건설과
5139한나루로8(#337)-07가로등인천광역시 미추홀구 매소홀로 340인천광역시 미추홀구 학익1동 72137.440144126.662003LED2023-07-26미추홀구청 건설과