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

Numeric3
Text3
DateTime2

Dataset

Description서울특별시 금천구 어린이공원 현황에 관한 데이터로 공원명칭, 주소, 면적, 시설, 개원일, 재정비연도, 데이터기준일자 등을 제공합니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15113334/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
연번 is highly overall correlated with 면적(제곱미터)High correlation
면적(제곱미터) is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
공원명칭 has unique valuesUnique
주소 has unique valuesUnique
면적(제곱미터) has unique valuesUnique
시설 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:18:54.262020
Analysis finished2024-04-21 02:18:57.820030
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-21T11:18:57.902011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-04-21T11:18:58.063041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

공원명칭
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-21T11:18:58.299725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.4634146
Min length2

Characters and Unicode

Total characters101
Distinct characters80
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

Unique41 ?
Unique (%)100.0%

Sample

1st row조마
2nd row무아래
3rd row골말
4th row참새
5th row파랑새
ValueCountFrequency (%)
조마 1
 
2.3%
1
 
2.3%
새재미 1
 
2.3%
해태 1
 
2.3%
부장천 1
 
2.3%
풍림 1
 
2.3%
중앙 1
 
2.3%
꾸러기 1
 
2.3%
비둘기 1
 
2.3%
1
 
2.3%
Other values (33) 33
76.7%
2024-04-21T11:18:58.634446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
5.0%
4
 
4.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
Other values (70) 74
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
98.0%
Space Separator 2
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
5.1%
4
 
4.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
Other values (69) 72
72.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
98.0%
Common 2
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
5.1%
4
 
4.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
Other values (69) 72
72.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
98.0%
ASCII 2
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
 
5.1%
4
 
4.0%
3
 
3.0%
3
 
3.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
2
 
2.0%
Other values (69) 72
72.7%
ASCII
ValueCountFrequency (%)
2
100.0%

주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-21T11:18:58.859688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length20.073171
Min length18

Characters and Unicode

Total characters823
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 row서울특별시 금천구 가산동 148-11
2nd row서울특별시 금천구 가산동 234-29
3rd row서울특별시 금천구 가산동 28-2
4th row서울특별시 금천구 독산1동 1088-2
5th row서울특별시 금천구 독산1동 1095-1
ValueCountFrequency (%)
서울특별시 41
25.3%
금천구 41
25.3%
시흥4동 7
 
4.3%
독산2동 6
 
3.7%
독산1동 5
 
3.1%
독산3동 5
 
3.1%
시흥1동 4
 
2.5%
시흥3동 4
 
2.5%
가산동 3
 
1.9%
독산4동 3
 
1.9%
Other values (42) 43
26.5%
2024-04-21T11:18:59.206224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
14.7%
60
 
7.3%
1 43
 
5.2%
41
 
5.0%
41
 
5.0%
41
 
5.0%
41
 
5.0%
41
 
5.0%
41
 
5.0%
41
 
5.0%
Other values (15) 312
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
54.8%
Decimal Number 216
26.2%
Space Separator 121
 
14.7%
Dash Punctuation 35
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
13.3%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
22
 
4.9%
Other values (3) 41
9.1%
Decimal Number
ValueCountFrequency (%)
1 43
19.9%
2 30
13.9%
3 27
12.5%
9 27
12.5%
4 25
11.6%
8 22
10.2%
0 11
 
5.1%
6 11
 
5.1%
7 11
 
5.1%
5 9
 
4.2%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
54.8%
Common 372
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
13.3%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
22
 
4.9%
Other values (3) 41
9.1%
Common
ValueCountFrequency (%)
121
32.5%
1 43
 
11.6%
- 35
 
9.4%
2 30
 
8.1%
3 27
 
7.3%
9 27
 
7.3%
4 25
 
6.7%
8 22
 
5.9%
0 11
 
3.0%
6 11
 
3.0%
Other values (2) 20
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
54.8%
ASCII 372
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
32.5%
1 43
 
11.6%
- 35
 
9.4%
2 30
 
8.1%
3 27
 
7.3%
9 27
 
7.3%
4 25
 
6.7%
8 22
 
5.9%
0 11
 
3.0%
6 11
 
3.0%
Other values (2) 20
 
5.4%
Hangul
ValueCountFrequency (%)
60
13.3%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
41
9.1%
22
 
4.9%
Other values (3) 41
9.1%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1010.3439
Minimum250
Maximum2195.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-21T11:18:59.356337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile359.4
Q1934.9
median985.2
Q31155.7
95-th percentile1501.6
Maximum2195.1
Range1945.1
Interquartile range (IQR)220.8

Descriptive statistics

Standard deviation358.57198
Coefficient of variation (CV)0.35490092
Kurtosis2.3426866
Mean1010.3439
Median Absolute Deviation (MAD)101.6
Skewness0.52059414
Sum41424.1
Variance128573.87
MonotonicityNot monotonic
2024-04-21T11:18:59.498990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1003.0 1
 
2.4%
992.2 1
 
2.4%
1185.2 1
 
2.4%
962.6 1
 
2.4%
944.0 1
 
2.4%
2195.1 1
 
2.4%
1516.1 1
 
2.4%
359.4 1
 
2.4%
985.2 1
 
2.4%
925.3 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
250.0 1
2.4%
312.0 1
2.4%
359.4 1
2.4%
503.0 1
2.4%
567.0 1
2.4%
585.9 1
2.4%
678.0 1
2.4%
865.0 1
2.4%
883.6 1
2.4%
925.3 1
2.4%
ValueCountFrequency (%)
2195.1 1
2.4%
1516.1 1
2.4%
1501.6 1
2.4%
1500.1 1
2.4%
1500.0 1
2.4%
1485.0 1
2.4%
1336.0 1
2.4%
1207.0 1
2.4%
1185.2 1
2.4%
1162.6 1
2.4%

시설
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-21T11:18:59.704004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length25.487805
Min length9

Characters and Unicode

Total characters1045
Distinct characters150
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row경로당+조합놀이대+윗몸일으키기+허리돌리기+지압보도
2nd row조합놀이대+뫼비우스클라이머+구름파고라+음수대
3rd row경로당+조합놀이대+바구니그네+분수+그림벽+놀이집
4th row경로당+조합놀이대+음수대+런닝머신+콘테이너(창고)
5th row조합놀이대+ 그네+ 시소+ 지압보도+ 운동시설
ValueCountFrequency (%)
조합놀이대 5
 
7.5%
운동시설 4
 
6.0%
음수대 3
 
4.5%
그네 2
 
3.0%
파고라 2
 
3.0%
운동기구 2
 
3.0%
경로당+조합놀이대+윗몸일으키기+허리돌리기+지압보도 1
 
1.5%
조합놀이대+그네+파고라+운동시설+음수대 1
 
1.5%
조합놀이대+데크슬라이드+별지붕+암벽등반+파고라 1
 
1.5%
경로당+조합놀이대+그네+흔들놀이대+파고라+운동시설+음수대+수경시설 1
 
1.5%
Other values (45) 45
67.2%
2024-04-21T11:19:00.036315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 150
 
14.4%
61
 
5.8%
60
 
5.7%
52
 
5.0%
40
 
3.8%
39
 
3.7%
33
 
3.2%
26
 
2.5%
22
 
2.1%
21
 
2.0%
Other values (140) 541
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 830
79.4%
Math Symbol 150
 
14.4%
Space Separator 26
 
2.5%
Close Punctuation 12
 
1.1%
Open Punctuation 12
 
1.1%
Lowercase Letter 11
 
1.1%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
61
 
7.3%
60
 
7.2%
52
 
6.3%
40
 
4.8%
39
 
4.7%
33
 
4.0%
22
 
2.7%
21
 
2.5%
21
 
2.5%
20
 
2.4%
Other values (126) 461
55.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
18.2%
t 2
18.2%
i 2
18.2%
w 1
9.1%
n 1
9.1%
s 1
9.1%
g 1
9.1%
a 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
+ 150
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 830
79.4%
Common 204
 
19.5%
Latin 11
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
61
 
7.3%
60
 
7.2%
52
 
6.3%
40
 
4.8%
39
 
4.7%
33
 
4.0%
22
 
2.7%
21
 
2.5%
21
 
2.5%
20
 
2.4%
Other values (126) 461
55.5%
Latin
ValueCountFrequency (%)
l 2
18.2%
t 2
18.2%
i 2
18.2%
w 1
9.1%
n 1
9.1%
s 1
9.1%
g 1
9.1%
a 1
9.1%
Common
ValueCountFrequency (%)
+ 150
73.5%
26
 
12.7%
) 12
 
5.9%
( 12
 
5.9%
2 3
 
1.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
79.1%
ASCII 215
 
20.6%
Compat Jamo 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 150
69.8%
26
 
12.1%
) 12
 
5.6%
( 12
 
5.6%
2 3
 
1.4%
l 2
 
0.9%
t 2
 
0.9%
i 2
 
0.9%
w 1
 
0.5%
n 1
 
0.5%
Other values (4) 4
 
1.9%
Hangul
ValueCountFrequency (%)
61
 
7.4%
60
 
7.3%
52
 
6.3%
40
 
4.8%
39
 
4.7%
33
 
4.0%
22
 
2.7%
21
 
2.5%
21
 
2.5%
20
 
2.4%
Other values (125) 458
55.4%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Distinct22
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1911-10-01 00:00:00
Maximum1993-06-30 00:00:00
2024-04-21T11:19:00.171658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:19:00.288640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

재정비연도
Real number (ℝ)

Distinct12
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.8293
Minimum2009
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-21T11:19:00.403739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2010
Q12013
median2016
Q32020
95-th percentile2021
Maximum2021
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.9427303
Coefficient of variation (CV)0.001955885
Kurtosis-1.4275641
Mean2015.8293
Median Absolute Deviation (MAD)3
Skewness-0.15965164
Sum82649
Variance15.545122
MonotonicityNot monotonic
2024-04-21T11:19:00.517189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2013 7
17.1%
2020 6
14.6%
2021 5
12.2%
2019 4
9.8%
2018 3
7.3%
2014 3
7.3%
2011 3
7.3%
2016 2
 
4.9%
2012 2
 
4.9%
2009 2
 
4.9%
Other values (2) 4
9.8%
ValueCountFrequency (%)
2009 2
 
4.9%
2010 2
 
4.9%
2011 3
7.3%
2012 2
 
4.9%
2013 7
17.1%
2014 3
7.3%
2016 2
 
4.9%
2017 2
 
4.9%
2018 3
7.3%
2019 4
9.8%
ValueCountFrequency (%)
2021 5
12.2%
2020 6
14.6%
2019 4
9.8%
2018 3
7.3%
2017 2
 
4.9%
2016 2
 
4.9%
2014 3
7.3%
2013 7
17.1%
2012 2
 
4.9%
2011 3
7.3%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2024-04-08 00:00:00
Maximum2024-04-08 00:00:00
2024-04-21T11:19:00.626758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:19:00.715922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:18:57.288100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:56.572632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:57.002057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:57.380377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:56.750707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:57.098338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:57.482823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:56.879919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:18:57.191586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:19:00.802342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공원명칭주소면적(제곱미터)시설개원일재정비연도
연번1.0001.0001.0000.2931.0000.8590.726
공원명칭1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
면적(제곱미터)0.2931.0001.0001.0001.0000.8270.355
시설1.0001.0001.0001.0001.0001.0001.000
개원일0.8591.0001.0000.8271.0001.0000.546
재정비연도0.7261.0001.0000.3551.0000.5461.000
2024-04-21T11:19:00.912666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)재정비연도
연번1.000-0.5030.202
면적(제곱미터)-0.5031.000-0.244
재정비연도0.202-0.2441.000

Missing values

2024-04-21T11:18:57.624755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:18:57.746637image/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

연번공원명칭주소면적(제곱미터)시설개원일재정비연도데이터 기준일자
01조마서울특별시 금천구 가산동 148-111003.0경로당+조합놀이대+윗몸일으키기+허리돌리기+지압보도1976-05-2020182024-04-08
12무아래서울특별시 금천구 가산동 234-291162.6조합놀이대+뫼비우스클라이머+구름파고라+음수대1982-05-0420162024-04-08
23골말서울특별시 금천구 가산동 28-21485.0경로당+조합놀이대+바구니그네+분수+그림벽+놀이집1982-05-0420162024-04-08
34참새서울특별시 금천구 독산1동 1088-21500.1경로당+조합놀이대+음수대+런닝머신+콘테이너(창고)1993-06-3020122024-04-08
45파랑새서울특별시 금천구 독산1동 1095-11500.0조합놀이대+ 그네+ 시소+ 지압보도+ 운동시설1993-06-3020142024-04-08
56철쭉서울특별시 금천구 독산1동 11121501.6경로당+물놀이형조합놀이대+그네+태양광퍼걸러+운동기구+음수대1993-06-3020202024-04-08
67두산서울특별시 금천구 독산1동 298-1974.9조합놀이대+흔들의자+sittingwall+음수대1979-08-2120092024-04-08
78다람쥐서울특별시 금천구 독산1동 999-111019.6조합놀이대+그네+흔들놀이(독산1어린이집)1986-05-0620092024-04-08
89푸른골서울특별시 금천구 독산2동 1038-9977.3조합놀이대+허리돌리기 등 운동시설+ 등의자1981-05-0420142024-04-08
910무지개서울특별시 금천구 독산2동 1063-14972.1조합놀이대+별지붕+까꿍놀이대+음수대1979-05-0520192024-04-08
연번공원명칭주소면적(제곱미터)시설개원일재정비연도데이터 기준일자
3132진달래서울특별시 금천구 시흥3동 970-3992.2조합놀이대+물놀이형수경시설(석가산)+퍼걸러+음수대+운동기구1984-05-0520202024-04-08
3233단군서울특별시 금천구 시흥4동 169-21250.0조합놀이대+등의자1985-12-2020182024-04-08
3334산장서울특별시 금천구 시흥4동 3-17678.0조합놀이대+그네+자가발전(소리뜀동산+별지붕)+데크슬라이드1984-05-0520172024-04-08
3435장미서울특별시 금천구 시흥4동 3-821207.0조합놀이대+흔들놀이+파고라+바람개비조형물+음수대1985-05-0320102024-04-08
3536신흥서울특별시 금천구 시흥4동 4-128312.0조합놀이대+그네+등의자1987-05-0720132024-04-08
3637효봉서울특별시 금천구 시흥4동 4-28503.0조합놀이대+바구니그네+흔들말+운동기구+그림벽1981-05-0420172024-04-08
3738송록서울특별시 금천구 시흥4동 791-35947.1조합놀이대+사각정자2+정글짐+등의자1979-05-0520182024-04-08
3839느티나무서울특별시 금천구 시흥4동 817939.2물놀이형수경시설(분수형)+그네+퍼걸러+운동기구+ 음수대1979-05-0520202024-04-08
3940은행서울특별시 금천구 시흥5동 836865.0네트조합놀이대+관리실(내화장실)+운동기구(+시니어)+바닥분수1979-05-0520212024-04-08
4041별장길서울특별시 금천구 시흥5동 925-32971.4조합놀이대+ 그네+ 수경시설+ 파고라+ 운동기구+ 음수대1977-05-0520212024-04-08