Overview

Dataset statistics

Number of variables9
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory81.0 B

Variable types

Categorical4
Text2
Numeric3

Dataset

Description인천시설공단에서 관리하고 있는 공원 현황으로 위치, 공원명, 공원 주소, 공원 위도 좌표, 공원 경도 좌표, 공원 면적 등을 제공합니다. (2023. 5. 15. 기준)
URLhttps://www.data.go.kr/data/15113752/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 is highly overall correlated with 공원 위도 좌표(WGS84) and 3 other fieldsHigh correlation
담당부서 is highly overall correlated with 공원 위도 좌표(WGS84) and 3 other fieldsHigh correlation
구 구분 is highly overall correlated with 공원 위도 좌표(WGS84) and 3 other fieldsHigh correlation
공원 위도 좌표(WGS84) is highly overall correlated with 구 구분 and 2 other fieldsHigh correlation
공원 경도 좌표(WGS84) is highly overall correlated with 구 구분 and 2 other fieldsHigh correlation
공원명 has unique valuesUnique
공원 주소 has unique valuesUnique
공원 면적(제곱킬로미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:50:09.362092
Analysis finished2023-12-12 08:50:11.224570
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
연수구
13 
서구
6 
중구
3 

Length

Max length3
Median length3
Mean length2.5909091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row중구
4th row연수구
5th row연수구

Common Values

ValueCountFrequency (%)
연수구 13
59.1%
서구 6
27.3%
중구 3
 
13.6%

Length

2023-12-12T17:50:11.334440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:11.500816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구 13
59.1%
서구 6
27.3%
중구 3
 
13.6%

공원명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:50:11.765894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length6.2727273
Min length4

Characters and Unicode

Total characters138
Distinct characters58
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row씨사이드파크
2nd row박석공원
3rd row은골공원
4th row센트럴파크
5th row해돋이공원
ValueCountFrequency (%)
씨사이드파크 1
 
4.5%
박석공원 1
 
4.5%
노을공원 1
 
4.5%
정서진문화공원 1
 
4.5%
창해문화공원 1
 
4.5%
녹청문화공원 1
 
4.5%
청라호수공원 1
 
4.5%
랜드마크시티1호수변공원 1
 
4.5%
랜드마크시티3호수변공원 1
 
4.5%
랜드마크시티3호근린공원 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T17:50:12.195776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 19
 
13.8%
공 19
 
13.8%
크 7
 
5.1%
호 5
 
3.6%
드 5
 
3.6%
티 4
 
2.9%
랜 4
 
2.9%
마 4
 
2.9%
시 4
 
2.9%
파 3
 
2.2%
Other values (48) 64
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
97.1%
Decimal Number 4
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 19
 
14.2%
공 19
 
14.2%
크 7
 
5.2%
호 5
 
3.7%
드 5
 
3.7%
티 4
 
3.0%
랜 4
 
3.0%
마 4
 
3.0%
시 4
 
3.0%
파 3
 
2.2%
Other values (46) 60
44.8%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
97.1%
Common 4
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 19
 
14.2%
공 19
 
14.2%
크 7
 
5.2%
호 5
 
3.7%
드 5
 
3.7%
티 4
 
3.0%
랜 4
 
3.0%
마 4
 
3.0%
시 4
 
3.0%
파 3
 
2.2%
Other values (46) 60
44.8%
Common
ValueCountFrequency (%)
1 2
50.0%
3 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
97.1%
ASCII 4
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 19
 
14.2%
공 19
 
14.2%
크 7
 
5.2%
호 5
 
3.7%
드 5
 
3.7%
티 4
 
3.0%
랜 4
 
3.0%
마 4
 
3.0%
시 4
 
3.0%
파 3
 
2.2%
Other values (46) 60
44.8%
ASCII
ValueCountFrequency (%)
1 2
50.0%
3 2
50.0%

공원 주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T17:50:12.458213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length19.818182
Min length16

Characters and Unicode

Total characters436
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 운남동 1640-1 외 5필지
2nd row인천광역시 중구 중산동 1911-4, 1889-4
3rd row인천광역시 중구 운서동 3100, 3073-1, 3124-1
4th row인천광역시 연수구 송도동 24-5
5th row인천광역시 연수구 송도동 5-1
ValueCountFrequency (%)
인천광역시 22
23.2%
송도동 13
13.7%
연수구 13
13.7%
청라동 6
 
6.3%
서구 6
 
6.3%
중구 3
 
3.2%
92-20 1
 
1.1%
157-13 1
 
1.1%
137-6 1
 
1.1%
106-2 1
 
1.1%
Other values (28) 28
29.5%
2023-12-12T17:50:12.842161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
16.7%
1 30
 
6.9%
- 24
 
5.5%
인 22
 
5.0%
구 22
 
5.0%
천 22
 
5.0%
동 22
 
5.0%
시 22
 
5.0%
역 22
 
5.0%
광 22
 
5.0%
Other values (24) 155
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
54.1%
Decimal Number 98
22.5%
Space Separator 73
 
16.7%
Dash Punctuation 24
 
5.5%
Other Punctuation 5
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 22
9.3%
구 22
9.3%
천 22
9.3%
동 22
9.3%
시 22
9.3%
역 22
9.3%
광 22
9.3%
도 13
 
5.5%
송 13
 
5.5%
수 13
 
5.5%
Other values (11) 43
18.2%
Decimal Number
ValueCountFrequency (%)
1 30
30.6%
2 16
16.3%
3 12
 
12.2%
0 9
 
9.2%
4 7
 
7.1%
6 6
 
6.1%
9 5
 
5.1%
8 5
 
5.1%
5 5
 
5.1%
7 3
 
3.1%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
54.1%
Common 200
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 22
9.3%
구 22
9.3%
천 22
9.3%
동 22
9.3%
시 22
9.3%
역 22
9.3%
광 22
9.3%
도 13
 
5.5%
송 13
 
5.5%
수 13
 
5.5%
Other values (11) 43
18.2%
Common
ValueCountFrequency (%)
73
36.5%
1 30
15.0%
- 24
 
12.0%
2 16
 
8.0%
3 12
 
6.0%
0 9
 
4.5%
4 7
 
3.5%
6 6
 
3.0%
9 5
 
2.5%
, 5
 
2.5%
Other values (3) 13
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
54.1%
ASCII 200
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
36.5%
1 30
15.0%
- 24
 
12.0%
2 16
 
8.0%
3 12
 
6.0%
0 9
 
4.5%
4 7
 
3.5%
6 6
 
3.0%
9 5
 
2.5%
, 5
 
2.5%
Other values (3) 13
 
6.5%
Hangul
ValueCountFrequency (%)
인 22
9.3%
구 22
9.3%
천 22
9.3%
동 22
9.3%
시 22
9.3%
역 22
9.3%
광 22
9.3%
도 13
 
5.5%
송 13
 
5.5%
수 13
 
5.5%
Other values (11) 43
18.2%

공원 위도 좌표(WGS84)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.44381
Minimum37.372536
Maximum37.5381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:50:12.994147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.372536
5-th percentile37.376521
Q137.39071
median37.403628
Q337.522312
95-th percentile37.533285
Maximum37.5381
Range0.1655639
Interquartile range (IQR)0.13160179

Descriptive statistics

Standard deviation0.066204642
Coefficient of variation (CV)0.0017681065
Kurtosis-1.7463249
Mean37.44381
Median Absolute Deviation (MAD)0.02432889
Skewness0.46792352
Sum823.76382
Variance0.0043830547
MonotonicityNot monotonic
2023-12-12T17:50:13.141699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
37.533 3
 
13.6%
37.39135902 2
 
9.1%
37.482277 1
 
4.5%
37.498947 1
 
4.5%
37.5381 1
 
4.5%
37.5301 1
 
4.5%
37.5333 1
 
4.5%
37.39044611 1
 
4.5%
37.408676 1
 
4.5%
37.3762118 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
37.3725361 1
4.5%
37.3762118 1
4.5%
37.38238717 1
4.5%
37.3885078 1
4.5%
37.39044611 1
4.5%
37.39049361 1
4.5%
37.39135902 2
9.1%
37.3922481 1
4.5%
37.39798134 1
4.5%
37.399403 1
4.5%
ValueCountFrequency (%)
37.5381 1
 
4.5%
37.5333 1
 
4.5%
37.533 3
13.6%
37.5301 1
 
4.5%
37.498947 1
 
4.5%
37.492631 1
 
4.5%
37.482277 1
 
4.5%
37.408676 1
 
4.5%
37.40785375 1
 
4.5%
37.399403 1
 
4.5%

공원 경도 좌표(WGS84)
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.62529
Minimum126.50158
Maximum126.65945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:50:13.273694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.50158
5-th percentile126.5618
Q1126.62561
median126.63104
Q3126.65261
95-th percentile126.65835
Maximum126.65945
Range0.1578749
Interquartile range (IQR)0.0270062

Descriptive statistics

Standard deviation0.037725667
Coefficient of variation (CV)0.00029793153
Kurtosis4.9166546
Mean126.62529
Median Absolute Deviation (MAD)0.01538735
Skewness-2.0940106
Sum2785.7564
Variance0.001423226
MonotonicityNot monotonic
2023-12-12T17:50:13.440512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
126.6263843 2
 
9.1%
126.567309 1
 
4.5%
126.561514 1
 
4.5%
126.6165 1
 
4.5%
126.6148 1
 
4.5%
126.626 1
 
4.5%
126.643 1
 
4.5%
126.6545 1
 
4.5%
126.634 1
 
4.5%
126.6254742 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
126.501576 1
4.5%
126.561514 1
4.5%
126.567309 1
4.5%
126.6148 1
4.5%
126.6165 1
4.5%
126.6254742 1
4.5%
126.626 1
4.5%
126.6263843 2
9.1%
126.6278979 1
4.5%
126.629565 1
4.5%
ValueCountFrequency (%)
126.6594509 1
4.5%
126.6584207 1
4.5%
126.6569245 1
4.5%
126.6547078 1
4.5%
126.6545 1
4.5%
126.6536494 1
4.5%
126.6494992 1
4.5%
126.643 1
4.5%
126.636342 1
4.5%
126.634 1
4.5%

공원 면적(제곱킬로미터)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9613636
Minimum0.35
Maximum8.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T17:50:13.590017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.35
5-th percentile0.3805
Q10.815
median1.54
Q31.9625
95-th percentile6.7305
Maximum8.62
Range8.27
Interquartile range (IQR)1.1475

Descriptive statistics

Standard deviation2.0426624
Coefficient of variation (CV)1.0414501
Kurtosis5.9793334
Mean1.9613636
Median Absolute Deviation (MAD)0.57
Skewness2.4422295
Sum43.15
Variance4.1724695
MonotonicityNot monotonic
2023-12-12T17:50:13.731973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.77 1
 
4.5%
1.48 1
 
4.5%
2.25 1
 
4.5%
1.89 1
 
4.5%
1.4 1
 
4.5%
0.95 1
 
4.5%
1.0 1
 
4.5%
6.9 1
 
4.5%
0.77 1
 
4.5%
0.6 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
0.35 1
4.5%
0.38 1
4.5%
0.39 1
4.5%
0.57 1
4.5%
0.6 1
4.5%
0.77 1
4.5%
0.95 1
4.5%
1.0 1
4.5%
1.02 1
4.5%
1.4 1
4.5%
ValueCountFrequency (%)
8.62 1
4.5%
6.9 1
4.5%
3.51 1
4.5%
2.25 1
4.5%
2.09 1
4.5%
1.97 1
4.5%
1.94 1
4.5%
1.89 1
4.5%
1.77 1
4.5%
1.7 1
4.5%

담당부서
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
송도공원사업단
13 
청라공원사업단
6 
영종공원사업단
3 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영종공원사업단
2nd row영종공원사업단
3rd row영종공원사업단
4th row송도공원사업단
5th row송도공원사업단

Common Values

ValueCountFrequency (%)
송도공원사업단 13
59.1%
청라공원사업단 6
27.3%
영종공원사업단 3
 
13.6%

Length

2023-12-12T17:50:13.866432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:14.007900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송도공원사업단 13
59.1%
청라공원사업단 6
27.3%
영종공원사업단 3
 
13.6%

전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
456-2860
13 
456-2736
6 
456-2972
 
1
456-2981
 
1
456-2991
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row456-2972
2nd row456-2981
3rd row456-2991
4th row456-2860
5th row456-2860

Common Values

ValueCountFrequency (%)
456-2860 13
59.1%
456-2736 6
27.3%
456-2972 1
 
4.5%
456-2981 1
 
4.5%
456-2991 1
 
4.5%

Length

2023-12-12T17:50:14.158370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:14.303827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
456-2860 13
59.1%
456-2736 6
27.3%
456-2972 1
 
4.5%
456-2981 1
 
4.5%
456-2991 1
 
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-05-15
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-15
2nd row2023-05-15
3rd row2023-05-15
4th row2023-05-15
5th row2023-05-15

Common Values

ValueCountFrequency (%)
2023-05-15 22
100.0%

Length

2023-12-12T17:50:14.435698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:14.536319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-15 22
100.0%

Interactions

2023-12-12T17:50:10.492920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.765751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.099291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.607785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.871999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.238368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.749365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.997406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.371172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:50:14.626208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 구분공원명공원 주소공원 위도 좌표(WGS84)공원 경도 좌표(WGS84)공원 면적(제곱킬로미터)담당부서전화번호
구 구분1.0001.0001.0001.0000.9130.0001.0001.000
공원명1.0001.0001.0001.0001.0001.0001.0001.000
공원 주소1.0001.0001.0001.0001.0001.0001.0001.000
공원 위도 좌표(WGS84)1.0001.0001.0001.0000.9200.0001.0000.888
공원 경도 좌표(WGS84)0.9131.0001.0000.9201.0000.0000.9130.900
공원 면적(제곱킬로미터)0.0001.0001.0000.0000.0001.0000.0000.000
담당부서1.0001.0001.0001.0000.9130.0001.0001.000
전화번호1.0001.0001.0000.8880.9000.0001.0001.000
2023-12-12T17:50:15.034509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호담당부서구 구분
전화번호1.0000.9460.946
담당부서0.9461.0001.000
구 구분0.9461.0001.000
2023-12-12T17:50:15.117944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원 위도 좌표(WGS84)공원 경도 좌표(WGS84)공원 면적(제곱킬로미터)구 구분담당부서전화번호
공원 위도 좌표(WGS84)1.000-0.3900.0190.9180.9180.795
공원 경도 좌표(WGS84)-0.3901.0000.2800.5880.5880.815
공원 면적(제곱킬로미터)0.0190.2801.0000.0000.0000.000
구 구분0.9180.5880.0001.0001.0000.946
담당부서0.9180.5880.0001.0001.0000.946
전화번호0.7950.8150.0000.9460.9461.000

Missing values

2023-12-12T17:50:10.900363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:50:11.133763image/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

구 구분공원명공원 주소공원 위도 좌표(WGS84)공원 경도 좌표(WGS84)공원 면적(제곱킬로미터)담당부서전화번호데이터기준일자
0중구씨사이드파크인천광역시 중구 운남동 1640-1 외 5필지37.482277126.5673091.77영종공원사업단456-29722023-05-15
1중구박석공원인천광역시 중구 중산동 1911-4, 1889-437.498947126.5615140.35영종공원사업단456-29812023-05-15
2중구은골공원인천광역시 중구 운서동 3100, 3073-1, 3124-137.492631126.5015760.39영종공원사업단456-29912023-05-15
3연수구센트럴파크인천광역시 연수구 송도동 24-537.392248126.6363423.51송도공원사업단456-28602023-05-15
4연수구해돋이공원인천광역시 연수구 송도동 5-137.388508126.6547082.09송도공원사업단456-28602023-05-15
5연수구미추홀공원인천광역시 연수구 송도동 9-137.382387126.6494991.6송도공원사업단456-28602023-05-15
6연수구새아침공원인천광역시 연수구 송도동 2-137.397981126.6536491.02송도공원사업단456-28602023-05-15
7연수구신송공원인천광역시 연수구 송도동 3-4137.390494126.6584210.38송도공원사업단456-28602023-05-15
8연수구달빛공원인천광역시 연수구 송도동 1437.399403126.6569258.62송도공원사업단456-28602023-05-15
9연수구달빛축제공원인천광역시 연수구 송도동 26-137.407854126.632511.7송도공원사업단456-28602023-05-15
구 구분공원명공원 주소공원 위도 좌표(WGS84)공원 경도 좌표(WGS84)공원 면적(제곱킬로미터)담당부서전화번호데이터기준일자
12연수구랜드마크시티1호체육공원인천광역시 연수구 송도동 330-137.408676126.6295651.48송도공원사업단456-28602023-05-15
13연수구랜드마크시티3호근린공원인천광역시 연수구 송도동 32637.391359126.6263840.57송도공원사업단456-28602023-05-15
14연수구랜드마크시티3호수변공원인천광역시 연수구 송도동 80-337.390446126.6254740.6송도공원사업단456-28602023-05-15
15연수구랜드마크시티1호수변공원인천광역시 연수구 송도동 308-237.391359126.6263840.77송도공원사업단456-28602023-05-15
16서구청라호수공원인천광역시 서구 청라동 106-237.5333126.6346.9청라공원사업단456-27362023-05-15
17서구녹청문화공원인천광역시 서구 청라동 137-637.533126.65451.0청라공원사업단456-27362023-05-15
18서구창해문화공원인천광역시 서구 청라동 157-1337.533126.6430.95청라공원사업단456-27362023-05-15
19서구정서진문화공원인천광역시 서구 청라동 92-2037.533126.6261.4청라공원사업단456-27362023-05-15
20서구노을공원인천광역시 서구 청라동 12-5, 12-137.5301126.61481.89청라공원사업단456-27362023-05-15
21서구해변공원인천광역시 서구 청라동 12-6, 12-2237.5381126.61652.25청라공원사업단456-27362023-05-15