Overview

Dataset statistics

Number of variables9
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory82.3 B

Variable types

Numeric4
Categorical3
Text2

Dataset

Description인천광역시 서구 보도육교 현황에 관한 데이터입니다. 관리 주체, 시설물명, 위치, 연장(m), 폭(m), 준공년도, 등급 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15105626/fileData.do

Alerts

관리 주체 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 폭(m) and 1 other fieldsHigh correlation
연장(m) is highly overall correlated with 등급High correlation
폭(m) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
준공년도 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
등급 is highly overall correlated with 연장(m) and 2 other fieldsHigh correlation
등급 is highly imbalanced (54.4%)Imbalance
연번 has unique valuesUnique
시설물명 has unique valuesUnique
연장(m) has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:47:32.646489
Analysis finished2023-12-12 00:47:34.903248
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:47:34.982812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-12T09:47:35.159019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

관리 주체
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
인천광역시 서구
21 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 서구
2nd row인천광역시 서구
3rd row인천광역시 서구
4th row인천광역시 서구
5th row인천광역시 서구

Common Values

ValueCountFrequency (%)
인천광역시 서구 21
100.0%

Length

2023-12-12T09:47:35.333147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:35.486887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 21
50.0%
서구 21
50.0%

시설물명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T09:47:35.758680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.2857143
Min length3

Characters and Unicode

Total characters132
Distinct characters56
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row건지보도육교
2nd row가좌보도육교
3rd row거북시장보도육교
4th row석남보도육교
5th row네개동 보도육교
ValueCountFrequency (%)
건지보도육교 1
 
4.5%
가좌보도육교 1
 
4.5%
허암교 1
 
4.5%
문숙교 1
 
4.5%
숙위교 1
 
4.5%
장숙교 1
 
4.5%
장경교 1
 
4.5%
충민교 1
 
4.5%
검단초교앞보도육교 1
 
4.5%
원당보도육교 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T09:47:36.377586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 23
17.4%
보 15
 
11.4%
도 15
 
11.4%
육 15
 
11.4%
숙 3
 
2.3%
장 3
 
2.3%
원 2
 
1.5%
석 2
 
1.5%
지 2
 
1.5%
초 2
 
1.5%
Other values (46) 50
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
97.0%
Uppercase Letter 2
 
1.5%
Space Separator 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 23
18.0%
보 15
 
11.7%
도 15
 
11.7%
육 15
 
11.7%
숙 3
 
2.3%
장 3
 
2.3%
원 2
 
1.6%
석 2
 
1.6%
지 2
 
1.6%
초 2
 
1.6%
Other values (42) 46
35.9%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
97.0%
Common 2
 
1.5%
Latin 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 23
18.0%
보 15
 
11.7%
도 15
 
11.7%
육 15
 
11.7%
숙 3
 
2.3%
장 3
 
2.3%
원 2
 
1.6%
석 2
 
1.6%
지 2
 
1.6%
초 2
 
1.6%
Other values (42) 46
35.9%
Common
ValueCountFrequency (%)
1
50.0%
. 1
50.0%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
97.0%
ASCII 4
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 23
18.0%
보 15
 
11.7%
도 15
 
11.7%
육 15
 
11.7%
숙 3
 
2.3%
장 3
 
2.3%
원 2
 
1.6%
석 2
 
1.6%
지 2
 
1.6%
초 2
 
1.6%
Other values (42) 46
35.9%
ASCII
ValueCountFrequency (%)
1
25.0%
I 1
25.0%
. 1
25.0%
C 1
25.0%

위치
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T09:47:36.663353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length17.571429
Min length16

Characters and Unicode

Total characters369
Distinct characters33
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

Unique19 ?
Unique (%)90.5%

Sample

1st row인천광역시 서구 가좌동 217
2nd row인천광역시 서구 가좌동 217
3rd row인천광역시 서구 석남동 557
4th row인천광역시 서구 석남동 490
5th row인천광역시 서구 가정동 567
ValueCountFrequency (%)
인천광역시 21
25.0%
서구 21
25.0%
가정동 6
 
7.1%
청라동 6
 
7.1%
석남동 3
 
3.6%
마전동 2
 
2.4%
217 2
 
2.4%
가좌동 2
 
2.4%
103-12 1
 
1.2%
84-11 1
 
1.2%
Other values (19) 19
22.6%
2023-12-12T09:47:37.246378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
17.1%
인 21
 
5.7%
광 21
 
5.7%
역 21
 
5.7%
시 21
 
5.7%
서 21
 
5.7%
구 21
 
5.7%
천 21
 
5.7%
동 21
 
5.7%
1 17
 
4.6%
Other values (23) 121
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
57.2%
Decimal Number 82
 
22.2%
Space Separator 63
 
17.1%
Dash Punctuation 13
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 21
10.0%
광 21
10.0%
역 21
10.0%
시 21
10.0%
서 21
10.0%
구 21
10.0%
천 21
10.0%
동 21
10.0%
가 8
 
3.8%
청 6
 
2.8%
Other values (11) 29
13.7%
Decimal Number
ValueCountFrequency (%)
1 17
20.7%
5 13
15.9%
2 11
13.4%
4 8
9.8%
3 8
9.8%
6 7
8.5%
8 6
 
7.3%
7 6
 
7.3%
0 3
 
3.7%
9 3
 
3.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
57.2%
Common 158
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 21
10.0%
광 21
10.0%
역 21
10.0%
시 21
10.0%
서 21
10.0%
구 21
10.0%
천 21
10.0%
동 21
10.0%
가 8
 
3.8%
청 6
 
2.8%
Other values (11) 29
13.7%
Common
ValueCountFrequency (%)
63
39.9%
1 17
 
10.8%
- 13
 
8.2%
5 13
 
8.2%
2 11
 
7.0%
4 8
 
5.1%
3 8
 
5.1%
6 7
 
4.4%
8 6
 
3.8%
7 6
 
3.8%
Other values (2) 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
57.2%
ASCII 158
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
39.9%
1 17
 
10.8%
- 13
 
8.2%
5 13
 
8.2%
2 11
 
7.0%
4 8
 
5.1%
3 8
 
5.1%
6 7
 
4.4%
8 6
 
3.8%
7 6
 
3.8%
Other values (2) 6
 
3.8%
Hangul
ValueCountFrequency (%)
인 21
10.0%
광 21
10.0%
역 21
10.0%
시 21
10.0%
서 21
10.0%
구 21
10.0%
천 21
10.0%
동 21
10.0%
가 8
 
3.8%
청 6
 
2.8%
Other values (11) 29
13.7%

연장(m)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.392857
Minimum17
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:47:37.457876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile19
Q133
median49
Q375
95-th percentile152
Maximum158
Range141
Interquartile range (IQR)42

Descriptive statistics

Standard deviation38.999405
Coefficient of variation (CV)0.62506201
Kurtosis1.3180747
Mean62.392857
Median Absolute Deviation (MAD)19
Skewness1.2995757
Sum1310.25
Variance1520.9536
MonotonicityNot monotonic
2023-12-12T09:47:37.598590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
152.0 1
 
4.8%
90.0 1
 
4.8%
158.0 1
 
4.8%
45.0 1
 
4.8%
44.95 1
 
4.8%
41.3 1
 
4.8%
40.0 1
 
4.8%
83.4 1
 
4.8%
71.6 1
 
4.8%
31.0 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
17.0 1
4.8%
19.0 1
4.8%
30.0 1
4.8%
31.0 1
4.8%
32.0 1
4.8%
33.0 1
4.8%
40.0 1
4.8%
41.3 1
4.8%
44.95 1
4.8%
45.0 1
4.8%
ValueCountFrequency (%)
158.0 1
4.8%
152.0 1
4.8%
108.0 1
4.8%
90.0 1
4.8%
83.4 1
4.8%
75.0 1
4.8%
74.0 1
4.8%
71.6 1
4.8%
63.0 1
4.8%
53.0 1
4.8%

폭(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3309524
Minimum3
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:47:38.048771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q14
median4
Q36.5
95-th percentile8.1
Maximum11.5
Range8.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.9548962
Coefficient of variation (CV)0.36670674
Kurtosis3.7861859
Mean5.3309524
Median Absolute Deviation (MAD)1
Skewness1.6861253
Sum111.95
Variance3.821619
MonotonicityNot monotonic
2023-12-12T09:47:38.143456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4.0 10
47.6%
6.5 3
 
14.3%
6.0 2
 
9.5%
5.0 1
 
4.8%
3.0 1
 
4.8%
8.1 1
 
4.8%
6.25 1
 
4.8%
6.6 1
 
4.8%
11.5 1
 
4.8%
ValueCountFrequency (%)
3.0 1
 
4.8%
4.0 10
47.6%
5.0 1
 
4.8%
6.0 2
 
9.5%
6.25 1
 
4.8%
6.5 3
 
14.3%
6.6 1
 
4.8%
8.1 1
 
4.8%
11.5 1
 
4.8%
ValueCountFrequency (%)
11.5 1
 
4.8%
8.1 1
 
4.8%
6.6 1
 
4.8%
6.5 3
 
14.3%
6.25 1
 
4.8%
6.0 2
 
9.5%
5.0 1
 
4.8%
4.0 10
47.6%
3.0 1
 
4.8%

준공년도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2003.2857
Minimum1991
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:47:38.247228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1992
Q11996
median2004
Q32012
95-th percentile2012
Maximum2015
Range24
Interquartile range (IQR)16

Descriptive statistics

Standard deviation7.9065976
Coefficient of variation (CV)0.0039468148
Kurtosis-1.4498596
Mean2003.2857
Median Absolute Deviation (MAD)8
Skewness-0.071574371
Sum42069
Variance62.514286
MonotonicityNot monotonic
2023-12-12T09:47:38.404479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2012 6
28.6%
1996 3
14.3%
1998 2
 
9.5%
1992 2
 
9.5%
2006 2
 
9.5%
2003 1
 
4.8%
1991 1
 
4.8%
2004 1
 
4.8%
1999 1
 
4.8%
2005 1
 
4.8%
ValueCountFrequency (%)
1991 1
 
4.8%
1992 2
 
9.5%
1996 3
14.3%
1998 2
 
9.5%
1999 1
 
4.8%
2003 1
 
4.8%
2004 1
 
4.8%
2005 1
 
4.8%
2006 2
 
9.5%
2012 6
28.6%
ValueCountFrequency (%)
2015 1
 
4.8%
2012 6
28.6%
2006 2
 
9.5%
2005 1
 
4.8%
2004 1
 
4.8%
2003 1
 
4.8%
1999 1
 
4.8%
1998 2
 
9.5%
1996 3
14.3%
1992 2
 
9.5%

등급
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
B
18 
C
2 
A
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st rowB
2nd rowB
3rd rowB
4th rowC
5th rowB

Common Values

ValueCountFrequency (%)
B 18
85.7%
C 2
 
9.5%
A 1
 
4.8%

Length

2023-12-12T09:47:38.533372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:38.670223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b 18
85.7%
c 2
 
9.5%
a 1
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-08-01
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 21
100.0%

Length

2023-12-12T09:47:38.789393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:38.951922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 21
100.0%

Interactions

2023-12-12T09:47:34.214715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:32.930009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.349835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.785019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:34.329410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.045329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.456303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.874431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:34.437655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.140265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.604224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.987932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:34.557650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.220892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:33.689462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:47:34.100893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:47:39.057222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설물명위치연장(m)폭(m)준공년도등급
연번1.0001.0001.0000.5640.5780.6880.000
시설물명1.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0000.0001.0000.6921.000
연장(m)0.5641.0000.0001.0000.5390.6990.835
폭(m)0.5781.0001.0000.5391.0000.7160.873
준공년도0.6881.0000.6920.6990.7161.0000.830
등급0.0001.0001.0000.8350.8730.8301.000
2023-12-12T09:47:39.201111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연장(m)폭(m)준공년도등급
연번1.000-0.2440.6680.8550.096
연장(m)-0.2441.0000.1820.0010.655
폭(m)0.6680.1821.0000.6320.756
준공년도0.8550.0010.6321.0000.719
등급0.0960.6550.7560.7191.000

Missing values

2023-12-12T09:47:34.689833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:47:34.839305image/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

연번관리 주체시설물명위치연장(m)폭(m)준공년도등급데이터기준일자
01인천광역시 서구건지보도육교인천광역시 서구 가좌동 217152.04.02003B2023-08-01
12인천광역시 서구가좌보도육교인천광역시 서구 가좌동 21790.04.01996B2023-08-01
23인천광역시 서구거북시장보도육교인천광역시 서구 석남동 55774.04.01998B2023-08-01
34인천광역시 서구석남보도육교인천광역시 서구 석남동 49053.05.01991C2023-08-01
45인천광역시 서구네개동 보도육교인천광역시 서구 가정동 56763.04.01996B2023-08-01
56인천광역시 서구콜롬비아보도육교인천광역시 서구 가정동 561-3249.06.01992C2023-08-01
67인천광역시 서구서인천I.C보도육교인천광역시 서구 가정동 548108.04.01992B2023-08-01
78인천광역시 서구원적산터널보도육교인천광역시 서구 석남동 552-1875.04.02004B2023-08-01
89인천광역시 서구문화회관보도육교인천광역시 서구 가정동 430-2117.04.01999B2023-08-01
910인천광역시 서구한신빌리지보도육교인천광역시 서구 가정동 54619.04.01998B2023-08-01
연번관리 주체시설물명위치연장(m)폭(m)준공년도등급데이터기준일자
1112인천광역시 서구당하보도육교인천광역시 서구 마전동 산196-733.06.02005B2023-08-01
1213인천광역시 서구원당보도육교인천광역시 서구 당하동 314-732.04.02006B2023-08-01
1314인천광역시 서구검단초교앞보도육교인천광역시 서구 마전동 316-531.03.02006B2023-08-01
1415인천광역시 서구충민교인천광역시 서구 청라동 112-3471.68.12012B2023-08-01
1516인천광역시 서구장경교인천광역시 서구 청라동 168-483.46.252012B2023-08-01
1617인천광역시 서구장숙교인천광역시 서구 청라동 155-2940.06.62012B2023-08-01
1718인천광역시 서구숙위교인천광역시 서구 청라동 155-2841.36.52012B2023-08-01
1819인천광역시 서구문숙교인천광역시 서구 청라동 103-1244.956.52012B2023-08-01
1920인천광역시 서구허암교인천광역시 서구 청라동 84-1145.06.52012B2023-08-01
2021인천광역시 서구가정보도육교인천광역시 서구 가정동 632158.011.52015A2023-08-01