Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory70.2 B

Variable types

Text2
Categorical3
Numeric3

Dataset

Description인천광역시 연수구 송도 녹지현황 데이터로서 녹지명, 종류, 준공일, 소재지 지번주소, 위도, 경도 등의 항목으로 이루어져 있습니다.
URLhttps://www.data.go.kr/data/15116388/fileData.do

Alerts

관리주체 has constant value ""Constant
위도 is highly overall correlated with 준공일High correlation
면적 is highly overall correlated with 준공일High correlation
준공일 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
녹지명 has unique valuesUnique
소재지 지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:12:46.021512
Analysis finished2023-12-12 11:12:48.683558
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

녹지명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:12:48.874334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.2195122
Min length9

Characters and Unicode

Total characters378
Distinct characters31
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

Unique41 ?
Unique (%)100.0%

Sample

1st row송도8호 완충녹지
2nd row송도1호 완충녹지
3rd row송도7호 완충녹지
4th row송도9호 완충녹지
5th row송도10호 완충녹지
ValueCountFrequency (%)
완충녹지 22
26.8%
경관녹지 10
 
12.2%
연결녹지 9
 
11.0%
첨단1호 3
 
3.7%
첨단3호 2
 
2.4%
첨단2호 2
 
2.4%
송도6호 2
 
2.4%
송도7호 2
 
2.4%
첨단4호 1
 
1.2%
첨단5호 1
 
1.2%
Other values (28) 28
34.1%
2023-12-12T20:12:49.462961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 41
 
10.8%
41
 
10.8%
녹 41
 
10.8%
지 41
 
10.8%
완 22
 
5.8%
충 22
 
5.8%
송 18
 
4.8%
도 18
 
4.8%
1 15
 
4.0%
관 10
 
2.6%
Other values (21) 109
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
76.2%
Decimal Number 49
 
13.0%
Space Separator 41
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 41
14.2%
녹 41
14.2%
지 41
14.2%
완 22
 
7.6%
충 22
 
7.6%
송 18
 
6.2%
도 18
 
6.2%
관 10
 
3.5%
경 10
 
3.5%
단 10
 
3.5%
Other values (10) 55
19.1%
Decimal Number
ValueCountFrequency (%)
1 15
30.6%
6 5
 
10.2%
3 5
 
10.2%
2 5
 
10.2%
4 4
 
8.2%
5 4
 
8.2%
7 4
 
8.2%
9 3
 
6.1%
8 3
 
6.1%
0 1
 
2.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
76.2%
Common 90
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 41
14.2%
녹 41
14.2%
지 41
14.2%
완 22
 
7.6%
충 22
 
7.6%
송 18
 
6.2%
도 18
 
6.2%
관 10
 
3.5%
경 10
 
3.5%
단 10
 
3.5%
Other values (10) 55
19.1%
Common
ValueCountFrequency (%)
41
45.6%
1 15
 
16.7%
6 5
 
5.6%
3 5
 
5.6%
2 5
 
5.6%
4 4
 
4.4%
5 4
 
4.4%
7 4
 
4.4%
9 3
 
3.3%
8 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
76.2%
ASCII 90
 
23.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 41
14.2%
녹 41
14.2%
지 41
14.2%
완 22
 
7.6%
충 22
 
7.6%
송 18
 
6.2%
도 18
 
6.2%
관 10
 
3.5%
경 10
 
3.5%
단 10
 
3.5%
Other values (10) 55
19.1%
ASCII
ValueCountFrequency (%)
41
45.6%
1 15
 
16.7%
6 5
 
5.6%
3 5
 
5.6%
2 5
 
5.6%
4 4
 
4.4%
5 4
 
4.4%
7 4
 
4.4%
9 3
 
3.3%
8 3
 
3.3%

종류
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
완충
22 
경관
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완충 22
53.7%
경관 19
46.3%

Length

2023-12-12T20:12:49.699580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:49.875317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완충 22
53.7%
경관 19
46.3%

준공일
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
2019-05-29
6 
2012-12-31
6 
2016-09-05
4 
2010-06-22
3 
2021-11-30
 
2
Other values (15)
20 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)24.4%

Sample

1st row2010-09-30
2nd row2007-06-19
3rd row2009-10-28
4th row2010-06-22
5th row2010-06-22

Common Values

ValueCountFrequency (%)
2019-05-29 6
14.6%
2012-12-31 6
14.6%
2016-09-05 4
 
9.8%
2010-06-22 3
 
7.3%
2021-11-30 2
 
4.9%
2017-11-20 2
 
4.9%
2013-08-05 2
 
4.9%
2010-09-30 2
 
4.9%
2007-07-21 2
 
4.9%
2009-10-28 2
 
4.9%
Other values (10) 10
24.4%

Length

2023-12-12T20:12:50.105497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-05-29 6
14.6%
2012-12-31 6
14.6%
2016-09-05 4
 
9.8%
2010-06-22 3
 
7.3%
2021-11-30 2
 
4.9%
2017-11-20 2
 
4.9%
2013-08-05 2
 
4.9%
2010-09-30 2
 
4.9%
2007-07-21 2
 
4.9%
2009-10-28 2
 
4.9%
Other values (10) 10
24.4%

소재지 지번주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:12:50.448370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.926829
Min length17

Characters and Unicode

Total characters776
Distinct characters25
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

Unique41 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 송도동 15-1
2nd row인천광역시 연수구 송도동 2-14
3rd row인천광역시 연수구 송도동 7-51
4th row인천광역시 연수구 송도동 103-1
5th row인천광역시 연수구 송도동 107-2
ValueCountFrequency (%)
인천광역시 41
23.8%
송도동 41
23.8%
연수구 41
23.8%
일원 8
 
4.7%
15-9 1
 
0.6%
16-10 1
 
0.6%
18-3 1
 
0.6%
18-9 1
 
0.6%
16-1 1
 
0.6%
84-1 1
 
0.6%
Other values (35) 35
20.3%
2023-12-12T20:12:51.051463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
16.9%
1 56
 
7.2%
구 41
 
5.3%
천 41
 
5.3%
동 41
 
5.3%
도 41
 
5.3%
송 41
 
5.3%
인 41
 
5.3%
수 41
 
5.3%
시 41
 
5.3%
Other values (15) 261
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
60.2%
Decimal Number 145
 
18.7%
Space Separator 131
 
16.9%
Dash Punctuation 33
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 41
8.8%
천 41
8.8%
동 41
8.8%
도 41
8.8%
송 41
8.8%
인 41
8.8%
수 41
8.8%
시 41
8.8%
역 41
8.8%
광 41
8.8%
Other values (3) 57
12.2%
Decimal Number
ValueCountFrequency (%)
1 56
38.6%
2 23
15.9%
3 11
 
7.6%
9 11
 
7.6%
5 9
 
6.2%
6 8
 
5.5%
0 8
 
5.5%
4 7
 
4.8%
7 6
 
4.1%
8 6
 
4.1%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
60.2%
Common 309
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 41
8.8%
천 41
8.8%
동 41
8.8%
도 41
8.8%
송 41
8.8%
인 41
8.8%
수 41
8.8%
시 41
8.8%
역 41
8.8%
광 41
8.8%
Other values (3) 57
12.2%
Common
ValueCountFrequency (%)
131
42.4%
1 56
18.1%
- 33
 
10.7%
2 23
 
7.4%
3 11
 
3.6%
9 11
 
3.6%
5 9
 
2.9%
6 8
 
2.6%
0 8
 
2.6%
4 7
 
2.3%
Other values (2) 12
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
60.2%
ASCII 309
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
42.4%
1 56
18.1%
- 33
 
10.7%
2 23
 
7.4%
3 11
 
3.6%
9 11
 
3.6%
5 9
 
2.9%
6 8
 
2.6%
0 8
 
2.6%
4 7
 
2.3%
Other values (2) 12
 
3.9%
Hangul
ValueCountFrequency (%)
구 41
8.8%
천 41
8.8%
동 41
8.8%
도 41
8.8%
송 41
8.8%
인 41
8.8%
수 41
8.8%
시 41
8.8%
역 41
8.8%
광 41
8.8%
Other values (3) 57
12.2%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.382255
Minimum37.364203
Maximum37.405378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:12:51.249428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.364203
5-th percentile37.364453
Q137.374904
median37.381294
Q337.387067
95-th percentile37.403936
Maximum37.405378
Range0.041175
Interquartile range (IQR)0.012163

Descriptive statistics

Standard deviation0.011113039
Coefficient of variation (CV)0.00029728112
Kurtosis-0.25547845
Mean37.382255
Median Absolute Deviation (MAD)0.00639
Skewness0.4942475
Sum1532.6725
Variance0.00012349963
MonotonicityNot monotonic
2023-12-12T20:12:51.459840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
37.405378 1
 
2.4%
37.385542 1
 
2.4%
37.403936 1
 
2.4%
37.400743 1
 
2.4%
37.396427 1
 
2.4%
37.404075 1
 
2.4%
37.3935 1
 
2.4%
37.392512 1
 
2.4%
37.364405 1
 
2.4%
37.387067 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
37.364203 1
2.4%
37.364405 1
2.4%
37.364453 1
2.4%
37.368368 1
2.4%
37.36861 1
2.4%
37.369006 1
2.4%
37.372741 1
2.4%
37.372906 1
2.4%
37.373525 1
2.4%
37.373796 1
2.4%
ValueCountFrequency (%)
37.405378 1
2.4%
37.404075 1
2.4%
37.403936 1
2.4%
37.403299 1
2.4%
37.400743 1
2.4%
37.396427 1
2.4%
37.3935 1
2.4%
37.392512 1
2.4%
37.389776 1
2.4%
37.388886 1
2.4%

경도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.65286
Minimum126.63098
Maximum126.68054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:12:51.699992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63098
5-th percentile126.63247
Q1126.64231
median126.65332
Q3126.66348
95-th percentile126.67398
Maximum126.68054
Range0.049559
Interquartile range (IQR)0.021162

Descriptive statistics

Standard deviation0.013320185
Coefficient of variation (CV)0.00010517083
Kurtosis-0.79096046
Mean126.65286
Median Absolute Deviation (MAD)0.010503
Skewness0.11855155
Sum5192.7671
Variance0.00017742734
MonotonicityNot monotonic
2023-12-12T20:12:51.944783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
126.643584 1
 
2.4%
126.66581 1
 
2.4%
126.642106 1
 
2.4%
126.640176 1
 
2.4%
126.643864 1
 
2.4%
126.641902 1
 
2.4%
126.630984 1
 
2.4%
126.631319 1
 
2.4%
126.656895 1
 
2.4%
126.663477 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
126.630984 1
2.4%
126.631319 1
2.4%
126.632475 1
2.4%
126.633684 1
2.4%
126.633835 1
2.4%
126.635915 1
2.4%
126.637545 1
2.4%
126.640176 1
2.4%
126.641902 1
2.4%
126.642106 1
2.4%
ValueCountFrequency (%)
126.680543 1
2.4%
126.677553 1
2.4%
126.673977 1
2.4%
126.672931 1
2.4%
126.669518 1
2.4%
126.66581 1
2.4%
126.66571 1
2.4%
126.665401 1
2.4%
126.664022 1
2.4%
126.663827 1
2.4%

면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14471.232
Minimum511.5
Maximum65363.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:12:52.185618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum511.5
5-th percentile1647.4
Q14841.1
median9945.5
Q320757.3
95-th percentile39513.9
Maximum65363.9
Range64852.4
Interquartile range (IQR)15916.2

Descriptive statistics

Standard deviation13489.517
Coefficient of variation (CV)0.93216094
Kurtosis4.241879
Mean14471.232
Median Absolute Deviation (MAD)6227.7
Skewness1.8418646
Sum593320.5
Variance1.8196707 × 108
MonotonicityNot monotonic
2023-12-12T20:12:52.458340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
10674.5 1
 
2.4%
8222.3 1
 
2.4%
2360.5 1
 
2.4%
3662.8 1
 
2.4%
3810.2 1
 
2.4%
4841.1 1
 
2.4%
511.5 1
 
2.4%
1854.1 1
 
2.4%
1497.1 1
 
2.4%
9945.5 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
511.5 1
2.4%
1497.1 1
2.4%
1647.4 1
2.4%
1841.8 1
2.4%
1854.1 1
2.4%
2360.5 1
2.4%
3499.7 1
2.4%
3662.8 1
2.4%
3717.8 1
2.4%
3810.2 1
2.4%
ValueCountFrequency (%)
65363.9 1
2.4%
45149.0 1
2.4%
39513.9 1
2.4%
35766.4 1
2.4%
28944.2 1
2.4%
25362.4 1
2.4%
24986.9 1
2.4%
23342.0 1
2.4%
22577.0 1
2.4%
22266.3 1
2.4%

관리주체
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
연수구시설안전관리공단
41 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연수구시설안전관리공단 41
100.0%

Length

2023-12-12T20:12:52.696325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:52.890769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구시설안전관리공단 41
100.0%

Interactions

2023-12-12T20:12:47.425467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:46.515359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:46.991991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:47.566006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:46.672885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:47.123835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:47.755537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:46.833341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:47.280859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:12:53.009506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
녹지명종류준공일소재지 지번주소위도경도면적
녹지명1.0001.0001.0001.0001.0001.0001.000
종류1.0001.0000.6291.0000.4890.0000.105
준공일1.0000.6291.0001.0000.9860.8260.888
소재지 지번주소1.0001.0001.0001.0001.0001.0001.000
위도1.0000.4890.9861.0001.0000.7200.423
경도1.0000.0000.8261.0000.7201.0000.391
면적1.0000.1050.8881.0000.4230.3911.000
2023-12-12T20:12:53.190592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
준공일종류
준공일1.0000.357
종류0.3571.000
2023-12-12T20:12:53.348193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적종류준공일
위도1.000-0.207-0.2540.3280.654
경도-0.2071.0000.1660.0000.325
면적-0.2540.1661.0000.1390.501
종류0.3280.0000.1391.0000.357
준공일0.6540.3250.5010.3571.000

Missing values

2023-12-12T20:12:48.390361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:12:48.595575image/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

녹지명종류준공일소재지 지번주소위도경도면적관리주체
0송도8호 완충녹지완충2010-09-30인천광역시 연수구 송도동 15-137.405378126.64358410674.5연수구시설안전관리공단
1송도1호 완충녹지완충2007-06-19인천광역시 연수구 송도동 2-1437.389776126.66336928944.2연수구시설안전관리공단
2송도7호 완충녹지완충2009-10-28인천광역시 연수구 송도동 7-5137.382751126.65659724986.9연수구시설안전관리공단
3송도9호 완충녹지완충2010-06-22인천광역시 연수구 송도동 103-137.384753126.6375459655.0연수구시설안전관리공단
4송도10호 완충녹지완충2010-06-22인천광역시 연수구 송도동 107-237.383189126.6359159621.3연수구시설안전관리공단
5송도11호 완충녹지완충2010-06-22인천광역시 연수구 송도동 112-237.381453126.63383512081.8연수구시설안전관리공단
6송도16호 완충녹지완충2010-06-12인천광역시 연수구 송도동 115-437.38007126.6324753499.7연수구시설안전관리공단
7송도3호 완충녹지완충2008-10-31인천광역시 연수구 송도동 9-3237.375417126.64885765363.9연수구시설안전관리공단
8송도4호 완충녹지완충2009-10-28인천광역시 연수구 송도동 9-237.382058126.64296615617.5연수구시설안전관리공단
9송도5호 완충녹지완충2007-07-21인천광역시 연수구 송도동 11-24 일원37.372741126.64608722577.0연수구시설안전관리공단
녹지명종류준공일소재지 지번주소위도경도면적관리주체
31국제3호 경관녹지경관2012-12-31인천광역시 연수구 송도동 15337.385542126.665818222.3연수구시설안전관리공단
32첨단1호 연결녹지경관2019-05-29인천광역시 연수구 송도동 215-237.364453126.65178115550.8연수구시설안전관리공단
33첨단2호 연결녹지경관2019-05-29인천광역시 연수구 송도동 218-137.364203126.65257315592.5연수구시설안전관리공단
34첨단3호 연결녹지경관2017-11-20인천광역시 연수구 송도동 192-10 일원37.36861126.65587223342.0연수구시설안전관리공단
35첨단4호 연결녹지경관2017-11-20인천광역시 연수구 송도동 201-1 일원37.368368126.65647122266.3연수구시설안전관리공단
36첨단5호 연결녹지경관2016-09-05인천광역시 연수구 송도동 191-337.374904126.65759310897.1연수구시설안전관리공단
37첨단6호 연결녹지경관2014-04-30인천광역시 연수구 송도동 190-337.375295126.6525675255.9연수구시설안전관리공단
38테크7호 연결녹지경관2021-11-30인천광역시 연수구 송도동 179-2 일원37.37844126.6654016479.6연수구시설안전관리공단
39테크8호 연결녹지경관2022-08-30인천광역시 연수구 송도동 181-1 일원37.378243126.665718615.0연수구시설안전관리공단
40테크9호 연결녹지경관2021-11-30인천광역시 연수구 송도동 172-2 일원37.381294126.6638277468.9연수구시설안전관리공단