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.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15116388&srcSe=7661IVAWM27C61E190

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 started2024-01-28 06:02:53.445173
Analysis finished2024-01-28 06:02:54.673566
Duration1.23 second
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
2024-01-28T15:02:54.781477image/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%
2024-01-28T15:02:55.053259image/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

2024-01-28T15:02:55.163750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:02:55.257612image/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

2024-01-28T15:02:55.353712image/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
2024-01-28T15:02:55.514243image/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%
2024-01-28T15:02:55.806428image/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
2024-01-28T15:02:55.922807image/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
2024-01-28T15:02:56.042047image/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
2024-01-28T15:02:56.147927image/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
2024-01-28T15:02:56.268200image/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
2024-01-28T15:02:56.608084image/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
2024-01-28T15:02:56.708944image/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

2024-01-28T15:02:56.812303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:02:56.892896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구시설안전관리공단 41
100.0%

Interactions

2024-01-28T15:02:54.306283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:53.899498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:54.103436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:54.370409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:53.966811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:54.168443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:54.442624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:54.033776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:02:54.235201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:02:56.954358image/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
2024-01-28T15:02:57.045897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류준공일
종류1.0000.357
준공일0.3571.000
2024-01-28T15:02:57.126361image/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

2024-01-28T15:02:54.538326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:02:54.636268image/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